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	<title>Compagnia SenzaTeatro - Teatro, Spettacoli, Eventi - Ferrandina, Matera, Basilicata &#187; Software development</title>
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		<title>What Does An Answer Architect Do?</title>
		<link>https://www.compagniasenzateatro.it/what-does-an-answer-architect-do/</link>
		<comments>https://www.compagniasenzateatro.it/what-does-an-answer-architect-do/#comments</comments>
		<pubDate>Wed, 15 Nov 2023 02:15:55 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

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		<description><![CDATA[A lead architect is a task that leads and manages a group of architects, either within a project, a program, or a portfolio. A lead architect defines the structure imaginative and prescient and technique for the team, as properly as the structure governance and processes. A lead architect additionally mentors and coaches the group members, and displays and reports on the structure performance and high... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/what-does-an-answer-architect-do/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>A lead architect is a task that leads and manages a group of architects, either within a project, a program, or a portfolio. A lead architect defines the structure imaginative and prescient and technique for the team, as properly as the structure governance and processes. A lead architect additionally mentors and coaches the group members, and displays and reports on the structure performance and high quality. A lead architect needs to have a excessive level of management and management skills, in addition to the power to affect and negotiate with senior stakeholders and sponsors. Besides choosing the applied sciences, IT solution architects outline the event phases the staff will undergo and assist with calculating the product’s price. As the solution architect is aware of the structure components, they know what folks — entrance finish, again end, iOS, Android builders — they need to involve.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/10/4fd845cb-1749-48d2-962c-2a9ea7b1410c-scaled-2-768x511.jpg" width="303px" alt="solution architect responsibilities"/></p>
<p>As a highly demanded job, answer architect’s obligations and every day routine have been misinterpreted many times, but we now have dispelled a few of the most common myths about their position. Solution architects make certain the product meets business necessities, might be delivered on time and inside price range. From an worker&#8217;s point of view, certification is mainly wanted for a specific company. However, it’s the proven method to become an IT answer architect, enhance and purchase credibility. As for the business homeowners, it permits them to assess candidates’ tech information and to outline if they’re experienced sufficient to be involved in your project.</p>
<h2>When Do You Want Answer Architecture Consulting?</h2>
<p>The function of a solution architect is to make sure the product meets business necessities and necessities from different stakeholders. The main function of an answer architect is to make sure the product meets business requirements and requirements from different stakeholders. To solve buyer business challenges, we’ve assembled a group of 9 experts, together with DevOps practitioners with deep experience in IT structure management and software improvement. Our staff has carried out in-depth evaluation and built a SaaS-based architecture initiating automation and switching to digital document administration, complying with FDA and ISO necessities.</p>
<div style='text-align:center'><iframe width='562' height='314' src='https://www.youtube.com/embed/tGbVgbpqb5Y' frameborder='0' alt='solution architect responsibilities' allowfullscreen></iframe></div>
<p>In the case of enterprise software initiatives, these overruns may result in large monetary losses. AWS certifications are legitimate for 3 years after which the credential holders need to go through recertification to prove their continued experience and knowledge of the latest AWS technologies and finest practices. Nowadays, it’s inconceivable to imagine a successful enterprise without a solid software program basis.</p>
<h2>Solutions Architect: Role, Obligations And Required Expertise</h2>
<p>Therefore, more and more organizations and corporations everywhere in the world are going through the final word need to go digital and undertake improvements and high-end software to multiply their efforts and keep growing. The tech structure technique directly depends on the technology stack architects select. Business operations collect and make use of the data, whereas IT obtains, shops, and derives that information from diversified database sources. In other words, they answer for figuring out procedures and technologies to be applied in amassing, structuring, storing, and accessing enterprise data. Yes, a solutions architect is an important and senior place that&#8217;s both well-compensated and highly sought-after. On the other hand, a cloud architect will undertake plans, develop cloud application designs, and monitor cloud administration.</p>
<ul>
<li>This particular person needs to guarantee that the new solution suits into the prevailing enterprise structure from technical, business, user, and other perspectives.</li>
<li>A resolution architect&#8217;s experience in figuring out potential dangers, choosing appropriate technologies, and designing scalable and maintainable options is essential for the success of any IT project.</li>
<li>Let’s take a extra in-depth take a look at crucial expertise of a options architect beneath.</li>
<li>This specialist thinks by way of the implementation of the selected resolution or feasibility of a certain change in the tech ecosystem.</li>
<li>That’s why there are a number of subtypes of structure that handle various practical and non-functional necessities and features.</li>
</ul>
<p>As a rule, these top-level specialists have already achieved excellent leads to growth, team leading, or project management. They must possess in-depth expertise and long-term expertise on each the technology and non-technology aspect of projects. The answer architect role description includes organizing a series of actions for software creation and integration with other methods so that its technical implementation corresponds with the firm’s general objectives.</p>
<p>Contact Andersen for a solution structure consulting in case you want extra insights and a value calculation. Enterprise structure, which we coated in a dedicated article, focuses on constructing complicated enterprise ecosystems and solves high-level strategic issues. Enterprise architecture defines the strategic instructions of the enterprise structure, which then results in an understanding of what technology amenities are needed to support that structure. It is this skilled who&#8217;s responsible for creating a strategic plan for implementing technical changes. This particular person works intently with top-level executives and decision-makers as he or she demonstrates to them the enterprise value of advised technical initiatives.</p>
<h2>The Great And The Dangerous Of Terraform Infrastructure-as-code Device</h2>
<p>As such, answer architects might spend a good portion of their time in meetings, discussions, and brainstorming periods, each with their colleagues and with external stakeholders. A technical architect is a role that focuses on the technical aspects of the answer, such as the infrastructure, platforms, tools, frameworks, and technologies. A technical architect defines the technical architecture and the technical necessities for the solution, as well as the technical risks and mitigation methods. A technical architect additionally evaluates and selects the appropriate technical solutions and distributors, and ensures that they adjust to the technical standards and regulations.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2022/08/what-ux-engineer-768x512.jpg" width="309px" alt="solution architect responsibilities"/></p>
<p>A answer architect’s salary expectations will vary based mostly on expertise, achieved certifications, and qualifications. As it’s a critical technical and management role within an organization, the place is well-paid and highly sought-after. They may even have to assess the technical needs and capabilities during implementation.</p>
<p>They will work instantly with EAs, TAs, enterprise architects, and so forth. to realize future state structure. IT architects and their respective teams work by way of various elements of a project life cycle; devising, planning, and designing the implementation of improved processes, enterprise capabilities, and purposes. Many SAs may have the instruments to move into corporate or business planning, different senior IT positions, completely different structure roles, or even a CTO.</p>
<p>Solutions architects will also be in common communication with IT specialists and enterprise architects to develop and implement complex technology and business options. A domain architect is a role that focuses on a specific domain or area of the answer, corresponding to information, safety, integration, or consumer interface. A domain architect defines the requirements, insurance policies, and patterns for the domain, as nicely as the interfaces and dependencies with other domains. A area architect additionally evaluations and validates the design and implementation of the area parts, and offers steering and assist to the developers and testers. A area architect needs to have a deep expertise and expertise within the domain, in addition to the flexibility to collaborate and talk with other architects and stakeholders.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/02/website-design-cost.webp" width="306px" alt="solution architect responsibilities"/></p>
<p>It’s price mentioning that these official confirmations expire, and thus, the exams should be retaken each few years or so. Software structure and methods built-in into it are quite a few details that work together. An architect must be very attentive to these particulars, as overlooking one thing might hinder the development course of, result in breakdowns, or make the software answer inefficient. They additionally should have the power to perceive the technical specifications of many alternative software options and hardware and carry out evaluation of different enterprise layers.</p>
<p>In quick, this specialist comes into play after a business analyst finishes prioritizing features and eliciting limitations. Their core task is to create exhaustive documentation, e.g. well-elaborated specs and thorough diagrams. Solution architect’s function and their place in a staff can be illustrated as follows.</p>
<h2>Solutions Architect Obligations</h2>
<p>Your company wants a thorough answer architect job description to search out and rent the right person for the job. Solution architect job candidates should achieve a transparent understanding of the position, and know whether their qualifications make them a great <a href="https://www.globalcloudteam.com/solution-architect-roles-responsibilities-why-do-you-need-one/">solution architect responsibilities</a> potential employee. Craft transient lists of skills, objectives, and responsibilities using bullet factors. Be positive the ultimate draft aligns along with your company’s expectations and is partaking and easy to learn and digest.</p>
<p>An enterprise architect additionally aligns the enterprise architecture with the business technique and goals, and ensures that the enterprise structure supports the present and future needs of the organization. An enterprise architect must have a holistic and systemic view of the organization, as nicely as the power to speak and collaborate with numerous stakeholders and ranges. A solution architect This specialist thinks via the implementation of the chosen answer or feasibility of a certain change within the tech ecosystem. Depending on the answer architect’s technical expertise and area of experience, there are several types of professionals, e.g. those who deal with networks, security, information, DevOps flows, or infrastructure.</p>
<p>There is a broad variety of certification platforms obtainable that provide coaching, access to plenty of studying supplies, tests to practice the knowledge, and so on. Nevertheless, the exam could be taken without any earlier preparation in case knowledgeable has a deep understanding of the architecture ideas together with stable expertise within the IT industry. Their tasks normally begin <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> with selecting the best expertise for the enterprise problem(s) and managing architectural issues to ensure more productive and efficient outcomes. There are many solution architect certifications available to master a selected technology. You may even need a minimal of five years of expertise working in software development and project administration.</p>
<p>The synergy between these roles is essential in building a long-lasting, effective enterprise architecture. The obligations of a options architect contain understanding potentially complicated issues and finding all the attainable options – precisely defining the difficulty and the requirement. Share your open role with certified&nbsp;answer architects using the world’s largest skilled network. If you might be artistic, analytical, outgoing,  pragmatic, and may explain problems and solutions on both a technical and non-technical stage, you would have a future as a solutions architect. Solution Architect obligations embody testing and integrating program software program techniques to deal with and clear  up particular business issues inside a company.</p>
<p>It also requires clear communication abilities and the power to translate technical details of the project into easy language that shall be simple for non-technical stakeholders to know. Successful options architects are usually curious, rational, analytical, and methodical—all of which are important traits for this job. One of crucial challenges of software product improvement is assembly the stakeholders’ necessities. Usually, a product has numerous stakeholders which are both technical and non-technical specialists. Solution architecture’s goal is to guarantee that all their necessities are taken under consideration. Stakeholders need to be frequently knowledgeable about product improvement processes, costs, and budgeting.</p>
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		<title>Find And Rent Monitoring &amp; Alarms Builders</title>
		<link>https://www.compagniasenzateatro.it/find-and-rent-monitoring-alarms-builders/</link>
		<comments>https://www.compagniasenzateatro.it/find-and-rent-monitoring-alarms-builders/#comments</comments>
		<pubDate>Mon, 16 Oct 2023 23:00:25 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

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		<description><![CDATA[You can hire one of the best software program builders in a couple of clicks with Turing. It&#8217;s an AI-powered deep-vetting talent platform where you will discover pre-vetted expertise from internationally who&#8217;re comfy working in your time zone. Another essential talent you should look for if you rent the best hire net developer software program programmers is the knowledge of model management. The skilled you... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/find-and-rent-monitoring-alarms-builders/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>You can hire one of the best software program builders in a couple of clicks with Turing. It&#8217;s an AI-powered deep-vetting talent platform where you will discover pre-vetted expertise from internationally who&#8217;re comfy working in your time zone. Another essential talent you should look for if you rent the best <a href="https://www.globalcloudteam.com/how-to-hire-a-net-developer/">hire net developer</a> software program programmers is the knowledge of model management. The skilled you hire will be working with a group of builders and different cross-functional groups. The developer will be answerable for ensuring quality and scalability in version control and sync properly with all staff members.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/10/524d17d8-1062-44db-a2af-291d87162f69-scaled-1-768x512.jpg" width="309px" alt="hire monitoring developer"/></p>
<p>We provide specific suggestions on both the take a look at task and the technical take a look at after we have checked the developer&#8217;s experience. Before releasing software program available within the market or for end-users, a software program software has to cross through several check instances to ensure credibility. This is a vital step in finding out bugs and guaranteeing that the software is in the best form for release. A software developer should have a thorough understanding of various front-end and back-end applied sciences to create interactive designs, web components, and shopper and server-side scripts. We&#8217;re super excited about Turing as we are going to scrap our existing prolonged interview process  and lean on Turing&#8217;s vetting to build up groups on demand. He has worked in designing system architectures and solutions for rapid scaling.</p>
<p>The selection between the 2 depends on elements similar to the character of the info, scalability requirements, performance needs, and the complexity of the appliance. NoSQL databases, on the opposite hand, provide flexible schemas and horizontal scalability, making them suitable for dealing with giant amounts of unstructured or semi-structured data. They present high write scalability and are sometimes used in distributed environments. However, NoSQL databases may sacrifice some data consistency ensures and lack standardized query languages in comparison with relational databases.</p>
<h2>Examine Our Clients’ Testimonials On The Industry’s Leading Platforms</h2>
<p>Hire intelligently with builders sourced by software program, vetted by software, matched by software program &amp; managed by software. He has beforehand labored on/led greater than 10 enterprise-scale ICT initiatives. Let us know if you&#8217;re seeking to outsource your asp.internet growth requirement and we can start immediately. DevOps monitoring refers to the steady, automated process of figuring out, monitoring, analyzing, and reporting on specific components of the whole pipeline. Lastly, they provide useful data analytics and reviews, aiding in strategic decision-making, and planning. This can help the organization to stay competitive and adapt to changes extra effectively.</p>
<p>But to simplify the process, we have put up a superb useful resource to aid in sourcing the ideal software developer with nice expertise that meets every requirement. Turing has been providing us with prime software program builders in Latin America. He is proficient in applied sciences corresponding to MongoDB, Java, Python, and back-end growth. Data safety technology developer Veeam Software is within the means of a round of layoffs affecting 300 workers in sales, advertising and administrative capacities. Hire professional ASP.NET core developers to construct excessive efficiency enterprise products and options.</p>
<p>Hire a extremely skilled Logging And Monitoring developer and improve your company with UpStack. The correct candidate must be sensible, skilled, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior degree Logging And Monitoring programmers. Our extremely effective matching process uses advanced synthetic intelligence that finds your corporation an ideal prospect on your forthcoming project. And personal interviews assures an unimaginable match in your development staff.</p>
<h2>Prime Interview Questions To Hire A Software Developer</h2>
<p>Glorium Technologies supplied full-stack platform development for the commercial actual estate products of a software program startup. They worked with .NET and SQL to supply valuation and different functionalities. Glorium Technologies produced nice work and delivered an easy-to-use platform that has obtained constructive inside suggestions. The team’s work arrange has been beneficial, and they&#8217;re always willing to deal with any issues that arise. They monitor the system for any security breaches, guaranteeing information integrity and stopping unauthorized access. Utilize our top-of-the-line experience to ensure smooth migration, upgradation, and modern-age optimization of the apps without losing the technical edge.</p>
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<p>Hiring a monitoring tech developer brings intensive advantages to a corporation. Firstly, they ensure the fixed surveillance of the system, identifying potential issues and rectifying them earlier than they escalate, thereby minimizing system downtime. This results <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> in improved reliability and performance of the system, enhancing general productiveness. ‘Like any profitable firm, throughout annual planning Veeam makes selections to prioritize funding areas reflecting the evolution of the enterprise and the market.</p>
<h2>Hire Software Program Builders Via Turing In 4 Simple Steps</h2>
<p>Microsoft surveyed 1926 engineers to study the qualities of fine builders that distinguished them from ordinary&#8230; It could be categorized beneath the black box testing technique where it doesn’t require inside code knowledge. We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as in comparability with other vendors. Trust is not given; it&#8217;s earned.Our precision in code growth has won the trust of businesses worldwide.</p>
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<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="hire monitoring developer"/></p>
<p>Glorium Technologies develops software with the .NET framework for a healthcare know-how firm. Glorium Technologies is a full-cycle app &amp; software improvement company which covers particular consumer business wants and tries to handle them with the help of the very best expertise solutions. With Turing, you&#8217;ll be able to hire the most effective remote builders for 100+ abilities similar to React, Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, DevOps, Machine Learning, and so on.</p>
<p>A DevOps engineer introduces  processes, instruments, and methodologies to balance needs throughout the software program development life cycle, from coding and deployment, to maintenance and updates. Working with our Client Success Experts, we&#8217;ll allow you to build the remote team of your goals with top Monitoring expertise from around the world.Pre-vetted, reliable Monitoring builders are standing by. Relational databases are used to deal with structured data with well-defined schemas. They provide ACID (Atomicity, Consistency, Isolation, Durability) compliance and support advanced relationships by way of the use of foreign keys. Relational databases are an excellent match for applications with strict data integrity requirements and sophisticated queries. However, they might face scalability challenges and are less appropriate for dealing with unstructured or quickly changing knowledge.</p>
<p>We at Uplers present a variety of .NET builders including Junior degree, mid-level and senior-level. Designing highly versatile and performant architecture that may adapt to changes in each surroundings and usability necessities is a must-have talent for an expert software developer. For knowledgeable to be thought of reliable and technically sound, proficiency in several cutting-edge technologies and best-in-class improvement practices are must-haves. Technical recruitment entails a lot of analysis and significant decision-making.</p>
<ul>
<li>Thirdly, they assist in optimizing the system&#8217;s effectivity by figuring out areas of improvement, reducing resource waste, and implementing cost-effective options.</li>
<li>Some common methods embrace bettering database queries, optimizing algorithms, implementing caching mechanisms, utilizing indexing and pagination, and using asynchronous processing.</li>
<li>Data safety expertise developer Veeam Software is in the means of a spherical of layoffs affecting 300 workers in sales, marketing and administrative capacities.</li>
<li>They monitor the system for any security breaches, ensuring information integrity and preventing unauthorized access.</li>
<li>It&#8217;s an AI-powered deep-vetting expertise platform the place you can see pre-vetted talent from internationally who are snug working in your time zone.</li>
</ul>
<p>You can rent .Net builders / ASP.NET internet builders for enterprise .Net growth options and grow your corporation with no overhead costs. You can hire dedicated ASP.NET net developers that would be working in your project exclusively. Our groups of certified and skilled ASP.NET programmers unleash distinctive and tailor-made solutions that ensure clients’ enterprise progress. The top companies that rent software program builders are Apple, HCL, Cisco, IBM, Google, and Facebook, to call a number of. With the assistance of Turing, you can rent the highest 1% of 2 million+ software program builders on your company.</p>
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		<title>Understanding Onion Architecture: An Example Folder Construction By Alessandro Traversi</title>
		<link>https://www.compagniasenzateatro.it/understanding-onion-architecture-an-example-folder/</link>
		<comments>https://www.compagniasenzateatro.it/understanding-onion-architecture-an-example-folder/#comments</comments>
		<pubDate>Tue, 06 Jun 2023 01:32:18 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

		<guid isPermaLink="false">http://www.compagniasenzateatro.it/?p=1938</guid>
		<description><![CDATA[With complicated information models this leads to all sort of problems. To be honest, this is not an important half that might affect any of the layers. But after all, you don’t need to keep it in the Repository as there you hardly want to map one thing, you wish to work with entities. So, you probably can have it either in the principle project... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/understanding-onion-architecture-an-example-folder/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>With complicated information models this leads to all sort of problems. To be honest, this is not an important half that might affect any of the layers. But after all, you don’t need to keep it in the Repository as there you hardly want to map one thing, you wish to work with entities. So, you probably can have it either in the principle project or within the service.</p>
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" width="308px" alt="onion structure"/></p>
<p>If you have very advanced business logic, it would make sense to encapsulate it inside our domain entities. But for most applications, it is usually simpler to begin with a much less complicated domain model, and only introduce complexity if it is required by the project. Using this strategy, we are ready to encapsulate the entire wealthy enterprise logic within the Domain and Service layers with out ever having to know any implementation details. In the Service layer, we&#8217;re going to rely only on the interfaces which may be defined by the layer under, which is the Domain layer. According to conventional structure, all the layers are interconnected and considerably dependent on one another. For instance, the UI layer communicates with enterprise logic, which communicates with the info layer.</p>
<h2>Stable Ideas:</h2>
<p>The clear separation of issues and decoupling of dependencies allow easier upkeep and modification of code, making it extra adaptable to altering necessities. Bounded context is an efficient match for a microservices architecture. It is way easier to construct a microservice around a bounded context.</p>
<div style='text-align:center'><iframe width='568' height='317' src='https://www.youtube.com/embed/QkJUd8C7-_I' frameborder='0' alt='onion structure' allowfullscreen></iframe></div>
<p>As we transfer to the outer layer, it makes more sense to have integration checks in infrastructure companies. For our utility End to End testing and BDD are essentially the most applicable testing strategies. Technology fanatics today use Model-View-Controller structure as a preferred web utility structure. It addresses the issue of separation of considerations by separating UI, business logic, and data entry logic.</p>
<h2>Service Layer</h2>
<p>There must be a separation of considerations as a result of none of the layers in 3-tier and n-tier constructions are independent. Such methods are complicated to grasp and keep up with. This conventional architecture’s flaw is its needless coupling.</p>
<p><a href="https://www.globalcloudteam.com/onion-architecture-in-development/"><br />
<figure><img 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' alt='onion architecture' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='401px'/></figure>
<p></a></p>
<p>Outer layer data formats shouldn&#8217;t be used by internal layers. Data formats used in an API can differ from those used in a DB for persistence. Whenever knowledge crosses layers/boundaries, it must be in a type  that&#8217;s convenient for that layer. API’s can have DTO’s, DB layer can have Entity Objects relying on how objects stored in a database range from the area model. It refers to the business knowledge that our software is attempting to mannequin.</p>
<h2>Domain Layer:</h2>
<p>The Onion Architecture relies heavily on the Dependency Inversion principle. Thank you <img src="https://s.w.org/images/core/emoji/72x72/1f609.png" alt="😉" class="wp-smiley" style="height: 1em; max-height: 1em;" /> It depends on the project, builders, indeed. I just assume that the repository sample (splitting repositories per entity class) is overrated. It lacks the reality <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> that the data from the repositories are extremely related, a minimal of if you are utilizing a complex datamodel with lots of relationships.</p>
<p>E.g. for smaller purposes that don’t have a lot of business logic, it may not make sense to have area companies. Regardless of layers, dependencies ought to at all times be from outer layers to inner layers. Most of the traditional architectures increase elementary problems with tight coupling and separation of issues. Onion Architecture was introduced by Jeffrey Palermo to provide a greater approach to construct purposes in perspective of better testability, maintainability, and dependability. Onion Architecture addresses the challenges faced with 3-tier and n-tier architectures, and to supply a solution for common problems.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="onion structure"/></p>
<p>Being a Microsoft certified engineer, he makes a speciality of internet growth and has expertise in creating desktop and mobile options. Aliaksandr is fond of studying new applied sciences, conducting meetups and instructing newbies at inner company courses. If you have relatively mounted queries that won’t change simply, this structure would work very nicely. Obviously you presumably can add some simple sorting and filtering. Using IQueryable will pace up your preliminary growth cycle.</p>
<p>Defects had been additionally found, corresponding to five- or seven-member rings deviating from the proper hexagonal lattice. These geometrical defects resulted in curving the 2D layers, which can have promoted the formation of onion nanostructures by way of a layer-by-layer attachment. We constructed a corresponding model that predicts COF onion properties. This novel onion exhibited a bandgap value of 2.56&nbsp;eV, resembling other carbon-based nanomaterials, suggesting potential purposes in sensors, photocatalysts, and nanoelectronics.</p>
<p>If we&#8217;d like something from an external system or service, we are able to just create an interface for it and consume it. We don&#8217;t have to worry about how will in all probability be implemented. The larger layers of the Onion will take care of implementing that interface transparently. It is the outermost layer and incorporates peripheral features similar to UI and exams.</p>
<p>All the internal layers need not be concerned about internal implementation of exterior layers. Application is split into layers where every layer has a set of obligations and addresses separate considerations. Each layer acts as modules/package/namespace within the utility.</p>
<p>So while I can do easy validation routinely with attributes I often need to do a lot more within the controller earlier than I’m happy passing those user provided information into the Service layer. The Domain entities within the heart represent the business and conduct objects. These layers can change, however the area entities layer is at all times within the middle. The other layer describes an object’s habits in larger detail. Each layer/circle wraps or conceals internal implementation details whereas providing an interface to the outer layer. All layers must also provide data that internal layers can easily consume.</p>
<ul>
<li>This signifies that when the next layer references the Services.Abstractions project it&#8217;s going to solely be in a position to call methods that are exposed by this project.</li>
<li>However, in the OnModelCreating technique, we&#8217;re configuring our database context based on the entity configurations from the identical assembly.</li>
<li>We constructed a corresponding mannequin that predicts COF onion properties.</li>
<li>The entities outlined within the Domain layer are going to seize the data that&#8217;s necessary for describing the problem area.</li>
<li>I must set the context for using this structure before continuing.</li>
</ul>
<p>The function of the Presentation layer is to represent the entry point to our system so that customers can interact with the information. We can implement this layer in some ways, for instance creating a REST API, gRPC, etc. The Service layer sits proper above the Domain layer, which means that it has a reference to the Domain layer. The Service layer is split into two tasks, Services.Abstractions and Services. Notice that we&#8217;re setting the CancellationToken argument as an elective value, and giving it the default value.</p>
<h2>Benefits Of Onion Structure:</h2>
<p>However, because the Web utility and the database server might be running inside of containers, how are we going to create the actual database for the appliance to use? We may create an initialization script, connect with the Docker container while it is operating the database server, and execute the script. But this can be a lot of handbook work, and it is error-prone. By now it should be apparent that the Presentation project will solely have a reference to the Services.Abstraction project.</p>
<p>I’ve spoken a number of instances about a particular type of architecture I call “Onion Architecture”. I’ve discovered that it leads to extra maintainable functions since it emphasizes separation of concerns all through the system. I must set the context for the usage of this structure earlier than continuing. This architecture just isn&#8217;t applicable for small websites. It is appropriate&nbsp;for long-lived enterprise functions in addition to functions with advanced conduct.</p>
<p>Service interfaces are maintained distinct from their implementation on this layer to ensure free coupling and separation of concerns. The core of the enterprise logic must be free (in principle at least) from any of the technical, and framework-related issues, permitting for straightforward testing and fast improvement. Onion structure can be applicable to microservices when viewing each microservice in isolation. Each microservice has its personal model, its personal use circumstances and defines its personal exterior interfaces for retrieving or modifying the information.</p>
<p>I didn’t create a repository as complicated as this one, nevertheless it serves the aim, so it would provide you with an thought. It just isn&#8217;t one of the best practice to take action as you must get entry to your services through the IServiceManager interface. But if there isn&#8217;t any other means in your app, you’ll do what you must do.</p>
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		<title>Techniques Development Life Cycle Wikipedia</title>
		<link>https://www.compagniasenzateatro.it/techniques-development-life-cycle-wikipedia/</link>
		<comments>https://www.compagniasenzateatro.it/techniques-development-life-cycle-wikipedia/#comments</comments>
		<pubDate>Tue, 04 Apr 2023 02:54:06 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

		<guid isPermaLink="false">http://www.compagniasenzateatro.it/?p=1899</guid>
		<description><![CDATA[Finally, the planning course of clearly defines the outline of system improvement. The project manager will set deadlines and time frames for each phase of the software program development life cycle, making certain the product is offered to the market in time. In this stage, the problem or ache the software program targets is clearly outlined. First, developers and different team members outline goals for... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/techniques-development-life-cycle-wikipedia/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>Finally, the planning course of clearly defines the outline of system improvement. The project manager will set deadlines and time frames for each phase of the software program development life cycle, making certain the product is offered to the market in time. In this stage, the problem or ache the software program targets is clearly outlined. First, developers and different team members outline goals for the system and draw a rough plan of how the system will work. Then, they might make use of predictive evaluation and AI simulation tools at this stage to check the early-stage validity of an concept.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2020/01/secrets-of-devops-organization-structure.webp" width="307px" alt="systems life cycle phases"/></p>
<p>In other words, to make sure the right action at the right time and for the proper reasons, the SDLC will pressure builders to comply with every step they should take. The waterfall model is likely considered one of the earlier approaches to SDLC, and it adopts a linear, sequential approach, that means that the staff has to totally full one section before beginning one other one. The outcome of the earlier stage works as a foundation for the next one. This approach could be a good selection for small tasks with clear and well-documented necessities and enough resources supported by the required experience.</p>
<h2>Agile Model</h2>
<p>Their output could also be closer or farther from what the consumer ultimately realizes they desire. It’s largely used for smaller initiatives and experimental life cycles designed to inform other projects in the identical company. Furthermore, builders are responsible for implementing any changes that the software program might need after deployment. It’s essential that the software general finally ends up assembly the quality standards that had been previously outlined within the SRS doc. Fundamentally, SDLC trades flexibility for management by imposing construction. Baselines[clarification needed] are established after four of the five phases of the SDLC, and are important to the iterative nature of the mannequin.[21] Baselines turn into milestones.</p>
<p>However, its inflexibility shows difficulties when adjustments happen after the beginning, and delaying consumer enter till later phases might end in miscommunications. In the design section, tech professionals don their architect hats, crafting a detailed blueprint that defines the system’s architecture, knowledge buildings, and interfaces. This stage demands a mix of creativity and precision as professionals create a design that seamlessly merges type and performance. How the SDLC will cowl and satisfy overall requirements ought to be determined earlier than embarking on a new project so you&#8217;ll have the ability to obtain the most effective outcomes. Once that step is finished, you can select the right SDLC methodology or a hybrid of fashions that&#8217;s perfectly suited to your major project necessities and expected finish outcome. This stage ensures the system stays usable and related by regularly changing outdated hardware, inspecting performance, improving software program, and implementing new updates so all requirements are met.</p>
<p>This step in the software program improvement life cycle requires the team to verify if they got what they initially wanted. Later, after discovery, the consultants try to resolve all points until the product meets present specs. This stage is crucial as a result of it will be naive to think that every one options would work appropriately straight away. QA testers should cooperate with engineers because the latter sometimes don’t have sufficient information of software testing instruments and techniques. Before getting down to business, it is crucial to create a well-thought-out strategy for the upcoming work. During this stage, developers usually analyze the core challenges of the project and dive deeper into the problem the software is intended to pinpoint.</p>
<ul>
<li>Hire a system development specialist from us and possess intensive experience with managing your tasks with ease.</li>
<li>However, creating glorious software that satisfies explicit enterprise necessities requires a systematic and outlined strategy.</li>
<li>In the larger context of management info methods or MIS, SDLC helps managers to design, develop, test, and deploy info systems to meet target objectives.</li>
<li>This is to make sure effective communication between groups working apart at different levels.</li>
<li>For instance, should you identified a threat where there are inconsistencies between the again and front end of the system what actions must you take?</li>
<li>New or changed backlog objects could be scheduled for the following iteration, permitting for adjustments to be revamped several weeks.</li>
</ul>
<p>That is why it’s extremely beneficial that project managers engage a dedicated group of professional developers. Such a team will possess enough expertise and knowledge to launch a first-class software product that completely corresponds to all of your expectations, wants, and targets. The V-model (which is short for verification and validation) is type of much like the waterfall model.</p>
<p>In most use cases, a system is an IT expertise such as hardware and software program. Project and program managers sometimes participate in SDLC, along with system and software program engineers, improvement teams and end-users. In some circumstances, this phase may be the most expensive through the software growth life cycle. Successful and responsive software takes months to develop, however it can take much more time if all seven levels of the SDLC have not been executed accurately. Although the phases might range in each particular project, the logic behind the model remains the same. Once the software is built, it’s time to put it to the check to grasp what can go incorrect when actual users come into play.</p>
<h2>Step 6: Deployment Section</h2>
<p>Developers must now move into maintenance mode and begin training any actions required to handle issues reported by end-users. The evaluation stage contains gathering all the precise details required for a brand new system as properly as determining the first ideas for prototypes. Before we even start with the planning stage, the best tip we may give you is to take time and purchase&nbsp;a correct understanding of app improvement life cycle.</p>
<div style='text-align:center'><iframe width='567' height='310' src='https://www.youtube.com/embed/t1CIOualq6I' frameborder='0' alt='systems life cycle phases' allowfullscreen></iframe></div>
<p>Relevant questions embrace whether or not the newly applied system meets requirements and achieves project objectives, whether the system is usable, reliable/available, correctly scaled and fault-tolerant. Process checks include review of timelines and expenses, in addition to person acceptance. During the Analysis stage, the  major focus is on gathering and understanding the requirements of the system. This contains <a href="https://www.globalcloudteam.com/systems-development-life-cycle-sdlc-phases-in-detail/">systems life cycle phases</a> conducting interviews, finding out present processes, and figuring out stakeholders’ needs. The gathered information serves as a basis for designing a system that meets users’ expectations and addresses organizational challenges. Executing all seven stages of the System Development Life Cycle is essential to make sure the success of your project within the realm of software growth.</p>
<h2>Integration And Implementation Stage – How Will We Use It?</h2>
<p>The new seven phases of SDLC embrace planning, analysis, design, improvement, testing, implementation, and upkeep. New variations of a software project are produced on the finish of every phase to catch potential errors and allow builders to constantly enhance the end product by the point it&#8217;s prepared for market. It’s linear and simple and requires growth groups to complete one phase of the project utterly before moving on to the next.</p>
<p>Alpha testing is the primary stage in which asmall group of certified individuals study an early model of the program. Beta testing is when the program is absolutely featured an released to a wider audience for testing. Gathering data is essential <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> within the evaluation stage as a outcome of you&#8217;ll be able to gain clear insight into the issue. If the problem cannot be recognized accurately, a poor answer is guaranteed to observe.</p>
<p>SDLC is used to develop engineering software, techniques, and even data systems. It is especially utilized in hardware or a combination of each software program and hardware at the identical time. Because of its simplicity and clarity, this structured methodology is suitable for small initiatives with exact necessities.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.globalcloudteam.com/wp-content/uploads/2020/09/ivankolesnikov-150x150.jpg" width="301px" alt="systems life cycle phases"/></p>
<p>The system growth life cycle is a project administration mannequin that defines the levels involved in bringing a project from inception to completion. Software development groups, for example, deploy a big selection of system development life cycle fashions you would possibly have heard of like waterfall, spiral, and agile processes. SDLC methodologies match within a flexibility spectrum starting from agile to iterative to sequential. We’ve already defined why the SDLC model is crucial — it serves as a blueprint for teams and helps them create state-of-the-art software that shall be of great use to a quantity of consumers. Otherwise, the outcome won&#8217;t satisfy the customer and may even damage the popularity of the software development vendor. The project’s scope and complexity are the primary components that help choose the SDLC model and begin the software improvement process.</p>
<p>This analysis helps project managers build an image of the long-term assets required to develop a solution, potential market uptake, and which obstacles may come up. This methodology is mostly used for small and experimental tasks, and when the stakeholders don’t have a transparent imaginative and prescient of what the software should seem like. The group of engineers is engaged on varied system variations, which helps the shopper resolve on the one that most intently fits their wants. The Big Bang mannequin doesn’t require plenty of planning—the team conducts a requirements analysis and carries out the development and design processes based mostly on its understanding. This model is applicable just for small initiatives because of the high danger and uncertainty.</p>
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8lfn3aK4sq9/UfY0+rpSA0eAAE58XanICTkAMkREW6oRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERetJTuleGMbmceYcw6SeYdaw169OhTNSq4NaBJJMADmSV7p03VHBrBJOgC8kWfU4NNGCTESBztIf7mm/uWAtaxxO0vmb9rVbUHNrg4fsstxaVrc7tZhafEEfNEQKQgwWZ4uIiB+c5jfcTdL7FLOxaHXVVlMHi5wb8ylvZ17gxRYXHwBPyUeiyaygkh+XGWj6Whb+kLi6xlltryhc0xVova9vNpBHqMl4q0KlF+5UaWnkRB9CvGClZHcsjawu+UWsa0u5uUQNdw39C9lItwOYhjhFo/UDM0EDfygTyV6S7PzNtyQb/RN7dRsLqDO1uCU3Cn9qpA55B7eGuhUm/CMSqy91J50zIPw1UUizzhEufiwzM/KHkA2ygkgZi61icp06l6jZ+fyYHpkj/6lmq7V4PSANS6pNkSJe0ZHQ5mYKxMwa+dO7ReYyyadQotFLjZyb6LR6Xj9y8a7BpIWGR5blBANi47zYfNt71ho7ZYLWqto0rqm5xMABwJJPkvdTAr+mwvdRcANSQo5Fl4jhz6c8saXsHA3aTlDtL6m1+jmKxFN2V7QvKQrW7w9p0IMhR9ehVov6uq0tI4FEWRh9PxsjWXsDvIF7cw063Fo9azcbwb4sA7jM7S5rbFpabkOOmpBADfeFH3O0NjbX1Owqviq8S0Qc841AgfErZpYZcVbd1yxssbqZGXw1UUiW9vR0qei2XkIJMjWkDQco3NtxNhlHtXnGdpMOwgNN9WFPe0mc4iYABOUhfbDCrq9kW7C6NY4eqgUXtW0xhkdG62Ztr2NxqARY+grxUvb3FOvTbVpODmuAII0IIkEea0qtN1N5Y8QQYIPMIizKHDJJhdkZLfpOIa0+gnf6l6VWDTRjMYiWjeWEPt6QDdRdTaPC2V/szrmmKmm6XtmeUTr4arcbhd26n1opOLee6YUeiLIoqJ82bi2Z8ts2rRa97byOgqSubujbUzVrvDGjUuIAHDMnJalKi+q8MptLidABJ9FjopIYDP5H9eL/rXxU4PLG0vdFZrdSQ5jrDps1xNutRNPanCKjxTZd0i4mABUaSSdABOq3X4PfNaXOovAGZO6dPRYCIinVHIiIvqIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiLLwiiNRK2MaDe9w+a0bz6dQPSQrnBAymaWxst85xJsAOmWQ/Jbv6eew3qoYJiJppM1szHDK8c9r3BaekfvPqscuKU9S3i3vsCdz87N245hoPWVwLpRtcYusQpsdTqOsgAT1QLpM94uaCJI4AkCNCCSukbH1rGjbOcHNFeTG+QPIAmcjxynwXjPtGxhIF5ubkAMYPQXXcfTu0VYq5uMke+1szif/vWpTGsDMTeNjPGRbzuLmDpuNHM6/8A+qOwyn42aOM6BzuVzckAud6NGlXDYux2fsLGpiWGkkbp6wn7w3BJDm5BpHlnrJ1UHj1xidzcNtboQZ7oGneyBBzkHzy8NFJ7OYPxpbK/SNpuG6gvPNrzDn9nSpXFdoGwkMjAlI32dZjLbgCBqeobl9bRz/F6bK3kl9o220te5eR6tOq4VNCrWB4ONtq7sXxQk0Guc2jSBIEDUkiDry1IzMCFLYjfez9MWNn/AKhAL36mToBw/tPMq5is+NUcrsgbfMwtc/k6ZTfNYWAvf1KsYNUCKoje75LXHMbmwuC3NoDuvf1Kz4NAI6V0T2lrbPEjj+dHnd6A0HLfpaVVaGDj52RgWbJJaw3tbe5t6G39i9bE07KnSxi0aC22DnEEGQKbmEZOk5wJ56SZyXzH3XDn2NcwapAGY/qDgcxGknyV5r65kDOMeeSbBoAu5xIuAB6FA1G0wJJa19r6DNEwf8Nx9/MpzE8NbUBrX3AYbjKQOa2tweZQO0GERQQlzQc+ZoBJc4G516hoCuebA0dmKzqdvdsqVLio/dAjuNBMNzBB0zJ4eCs+0lTF6YdVoOa2k1s/7iYz1y8gsNuOvEz5QLCQMaWmzi0NGga6w1uSdRzqWwvGzPNHGGuGbNcfk8tg0n6N+bpCqanNi471DnfRiJHrc0fiuu7b7I4LbYTXvOoG/TpbrSPBoYyecZZ6qkbP43f1b2nQ60w58n13neualdra50LIwx5Y57jqLXytbYjUaauaqnV1b5By5HPtuDnEgHpA3XUxtrLedjPoRj2ucT+wNUJELuaDuLmj3rL0bYHbWmz9C4dTb1jmufvbo3u8SRnE/djivO1eI1a2J1KQed0ENiTGQE5aaq07cC7Iec8Y4C3WN37FEyYBKGcZyXNsXaP1y2zX1HRzb9VY8ap+MkphzB7z7mjToIBLv6CkI3B4IHyQXM6uTyXAdQNx6lybC+kG7wPB7OjaBpkvdU3hMA1XQNRBMEq53ezNHEL6vUrEjJobBjMMEnx1Cqux9Pmfntz6ehtif1nxn+gV9bbT3kjiHzGl59LjYewN/WUvs/S8TGBbW7Wey73H1Oe8f0Aqli9Rxs8r94c8gH80clvuAV22cf27tjWxDWnRZDT4u7o/be9FAYqOzsCp22jqjpPkMz+8L22dpuNqGC9gz8odxPJItodDyi33q7GpHGNjvynMc8Dqa4A/1v1SoTZKhyxGYt5T7lhvYgC7BY/N3u9rehZTcOd8bE5d+TYzIwC3ychbyiTfeSd29U7pDxCzxnGa7KtbdZQpOawe9VHARnm4j4NKndmLavYWNNzGSajwXeDDxPwn1CiNtYbTMf8ATjsestP4OaoON2Vwda9iDYgEGxvqCLEK67S07Hw5nuyZDyXFr3AF1huaQej2BUl7dSGnNrZptYnmGl9L9C6p0WYyy/wFlB4M0gWOJB3SATEO0MNIBEyOXFU7bGwdbYk6o2IfDhBznjlrrPgVfKCvzwGYiwa0nWw0aL824WUJgmMTSyhps9pILzlDcgvzHdqbAXudVOw0DRT8RqGluV1tHWO/m3kaL8eIqWOwLYWi5HO4m1r2Or3a9a4ZZYlhFP7ZQo2nX1K1QtogtncYJhwObt4kzA5Zngeh3Fpeu6io+t1bGNl8GN53LlHiefxVR2jiDKmQNFgcrrDcCWgut/SJU3sPERHK/mc9rR08kEn1cse9VuvnEkjnAZW35IOrrXvdx53k3JPSSrbspyaQEnS8jjzW15/UF1jpFdXstkKNtUkvd1VMzrkN7mc+6JzPxVL2WFOvjj6rfujfcOWZj0z8Fj4pj/FyPjaTdhy/zTSARv14wE8/MFDYjjUkzSwusx1rjKA421sSL6XVgq4qZrnPewFxJe4kSOJubkkahQGN1ML7CGLIR88AMaR9kauO7fay0thKGFVKtFtHDKpcAJq1GN3Q4D7wJz1GXHwlbG0dS8ayoX3bIMwxrjJBOnp8FFoiLvK5yiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIvalpXy5sjC/LYuyi5FzYac//YqQpNn5XkZm8U3pfqfU0a+2yxsHxE00mcDM06Pb9IdR5nBWOr2kja3k3c6x0FwQea5ta3WCVy7bHGdqba6Fthlu17HjuvAJLTAnek7oIOYJG6R4yrfgVjg9aj1t5VLXN1boDyjKT8M5WaclJT2OrI22sbXeTfS3OXEn2lUmgqOLlZJluGuuWi+43BA9RK9MUxF9Q67jYD5LB8kc1+t1ucrEWfYnYiphtncfb379W4k1c8hIMieJ7xJPwGQlYsf2gbd16f2Zu6yl9z4R+2QyVw2noTUxxyR8ssuQ0H5bXgat6ToD6ysbZ7AS1wlmFsurI7gm/M51t1uYKKwzGXwANFnsBuGvvyfskajn6RqVnVG1Dy0hkYY4/OLi+3oBAF/SqdU2b2vsLI4JY7jqBLgKshrgxxJIOcjUzDS7OAVOtxXBLm4F/c7wqACWRILgNRw8pIHMLO2urgyLiGnlyWBA3tYP2XsB6LqF2WZeqZbeGvP6pb+9Rsjy4lziXOJuSTck9ak9lZslS3QHOx7dTa2mfTmvdoHrVqGyw2e2UurWid+oab3OOm84tg/ADIccuZUOcY7TxmjWqd1oc0AcgDl8Sdf+lK7W4g+J0bGPyBzXOdYC51sNSLjn3dKrE0znm7nl56XOLj79yltr6kSThrdeKblJ6XE3IHo0HpuoZSHRxgtGzwS2e6i1tUtlx3RvGSSJOuhHHwWrtTfvr4hVaHksBgCTGQEwNNUVj2J3y8nfblG97C+g011IuOsdSrisGzkgNNUszZZA2QtF7OdeMWy9Y4s7ukL30l03VMCq0mid4saTnkC8d4xnAMeHPJfNk3BmIseToHHzhpy+Kj9opc9VMehwb+i0N/aCsSkvxjLDMQ9rrAXJsc27n3L7xIWml1uDI5wPSHHMD7CF4wyFjmvBs5pDgesG6sOG2fVYRSt6WcUWtE5D7gAnjn6qLu6+/evqv4vJP5lsKuOUZxq4AtjbzF7yGtv69PQ5yi8Aq8080IdmZGxjWE/OyEte70ue8n1hYNTtNmbpFlkAOV2YFrXkZcwFuYF1vSobDKswStkGuW4Lb2zAixBNv/tguG4B0aYg7CLujd092oWxTBIPeB3hmCQBlAJg9905LoeJbWWwvqD6L5YD38iMiI4+p/4hXbGKnioJnDQhmnNynktb681z6lRaOnMsjIxve4N9HSfULn1KRxrGjUtyZAxmZrt93GwOhO61yTuUbSzGN7HjexwcNbbjdXro82UvcDwiuKjQ24qSRJBiGwySMvvSSJ46qu7T4zb4he0y0zSbA0iZPeifCFe8RqW0sGbLyWBsbGg2J5gL82nP1KpT4kZpGZmDLnZyeMlcSMw0u59gesAL8xbFjUMjYW5QwXPKzF7rZcxNt9r+0qOWLYPo+bh1q6tfsm5e50nemBoNDEn706565L3tHtMbqsGWzopNAyjU8dc4GnLJXbaSTNRPcNzhE7Toc9h9mqqmDx56iFvMZG39Rv8AuU9W1Amw4vaLZbNcL7rSC9tejKbcwVco6gxSMkbvYbi+48xHrBI9a1ejrDa9DA7+zpiKgq1mgExDtxobJ9M1m2ou6dTELau7NpYxxjiN4kx/ZWzaeudB8Xe3cJSXN3ZgG2IPUQ4+5feNUDauFsjDd4bmidzOB1ynov7j61WsZxQ1OS7cgZm0vcG537t9gB6uZZOzmL8SRG8/kidDr+TJOp+z+z1lV9uwWJ4Zg9rfWjd28ty8uaIO+wvJ3TGTiBw4gkawpM7R2l3fVresZoVA0An+lwAE+GfHgROih3CxIIsQSCDoQRoQetWuOlkfRxxxjLnbZ3GOtZpY0Eiw3HlafnLx2sw1paalh1OXPbVrgdA4EbjqNdx09fz/AHU2aAILWAGsmmnQA3cpjGcVv9qMPs7rCKAe5lQmo15ADHtaMiHEbwkyD4CdSFoWNnbYRc16N9ULQ5oDS0ZuaScwQDGn+RK8mbKyc8jB6Mzv3BY+LYEaePjDKHagZcpBNzzanrPqXpLtNKdzWN/oucfaXW9yi62sdMQXkEi+5rW7/sgX9amsBs9s33TKmI16TKQMua1rSSOWQynnvGFoYjXwFtFzbWm9z+BJIA8df2heCIi6iqgiIi+oiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIvahg42Rkd7ZnAE9A3k+oAn1KynZVlx+Vda3Q069N+YdSiNl4s0/2WH9ZzYv2PKltrcSfE+OON+S7S91rX1NhvGm5y41tlimNXG0FHCsIr9UTTLnTEcTJ7rjpAEDUq9YFZ2FLDKl5e098bwAjXllmOKjsV2ffCC9p41gFzYWeB05bm46woZTeD43JxsbHv4xj3taQQLjMctwQOvd1Lz2oohFK17LZJgXADcDpmt+abg+sqwbP4zilnfNwnGi19R7S6nUZo4N+81wgQ4DMZAEeOsZiVhaV7c3tgC1rSA9rtROhBzy4a5L42fwsVJkzOLQwN1bbUknTXqBUx/cqzyr/ANQfuX7sTDaKR/O6TL6mtBHvc5YWMmZ88oZBmYDla74s1xIAA+W5huL351RcVxzGMQ2kurGzvhb0qQH3t0CQGgxIzJJPFWOzw+xtcKo3Fe361750mc5I08IX7imBRwxPfxxzNHJDiw5jzNsADcrEwjCBUwvc1+WVjrZTYtIsCL87b6i/UsGupnsIMkeTNe3Ja3d1N3KY2IktLK36TGn1h1v41Z8SfimGbOVrylffaKjHNeHw0t3QQHMyyI1nj5KItW2d3ijKD7fqmOBaWyZkgkOz0On/AGoGVha5zTva4tPpBsV8qU2jgtVyDcHlrwTuGZoudN/KzKdoaFtNA9z+TmaS8vs7I02GXLuzu06ddNQADL4ht7b2WHWt0W79Su1hawakuAmNdJ5E8NSFo2uzlS4uq1EHdbTLpcdBBMeqpysmG7ONlijkdI5pe0OIAbYX1Frjosq/UuDnuLG5GkgNbe9tAPad/rV7qWmGmc1gu5kWVjbZyTaw01zehQXSbtJf2VGyo2VQ0atZ+cxkIAgkyBBcJjlqpHZLCra4qV33DRUYxvjmZOY0OYBUYdloxvlf+oP4VC4/QMp3sayTPcEuBykt101b066W5utfTqeeT/R7b91NEz+AKNkjLCWkWINiDzFSOydjiYut+6xQV90GabdwjPIEkZiNdNf31cZuLQ0d2jZmnOjjvftOWaksEwn4yyY5rOZlDOZuY6nNodLDm6VGysyuc298rnNuNxsbXHsVu2Oiywvd9J4J5rchp/Yfeqg51yT0kn2m629mMdur/G8RoOdNKk6mGCNCW97PlLSfMlYcXw6jbYfa1AIe8OLvGDl81+Ii96GmM0gjbvO/qHT+wekhXu5uKdvSdVqnda0EkngAq7SpOqvDGCSTAHivXCKA1EmQHKALudlLrD2i3tVg/uVZa3Gvv08i3st+9e80seHwgBuZznHQGxe4aEk/RGg9nSVWanFpXvL+Nc030axzg1vUG84XFxf7SbU3D7nC632W1bIYXAd8tMExBMf/ABHiZAvhtsKwem2leM66sc3AH7oOnGJ/f4L7xrCTSlt3B7H3yuAI3W0cNwOvT0r7wPDHTPa/iw6IEhxe4tadLEC2pcL83OFMbYsJhicQSRcG24E5NXD0Bw9Ll4bG4ha9ORvu5hHTa7gerTf1rO3avF7jY91/Sh9Zu81507oJBcA0jvAQeHEwsZwaypY4LZ8tpmC0a5kAgGZyOY48Asqp2YY512vMY+iOUNwGhJvvBPPvWJLsqQCWzguHyQY8oPpOc29iyMdxKVs5iiIaGtaXPLWmxd9JzrhotbS1z17lnfGTTU5klcZHC3ygGue47gBbkDqIvYEnoFEpY7tdZ2lrUF22oa26KdMgPeQdN4lvHKZfMHzIsb8PwSvWrNNAtFOd5+bWiNYg8P8AjCo7m2JBFiCQR0EaKwxbOCSBsjXubI5ocGvDbG+oBtq306+hQTGmSQAb5JAOnVzvfvWxQQLN6iQOppA/ib7Ve+lPa7EMGbaMs37lR2890AEbrQMiDOUk+mqrmx+CW1+azq7ZaIA8zOYPNa6gpnPk4oDl3IIPzbfKv6LFTuJ7OZIzIxxJaMzmOsdBqcpHOB7bFSsdEIZZp7Zi8hw03k2DWN6zJc+kx9a+6+f+9ZzmBLY3NLhq0lzA45fzeXYKu4r0k4he31q7DTu05ph8iQ5z93eB8GyBl3s5HGJSz2UtqFvWF2JdDi3wDZgjxMTy5qlUcXGSRs+m9rfRdwF/erP/AHKs8q/2M/BQuzMOeqiB3Nu/1tFx+tlVi2okeGxtjj4wuc4uHFCYCw00LSAeV+1T+32PYmMctsLw+56jeYS4mI1dBJIOgaeSjdm8OtDh9W8uqXWQ6ABM8NAPErHOzEY3yu9sY/hVYrIwyR7Gvzta4gP6f/vTz2WVU0czmlz4SGjlE8THH/VaD6lhRMzOa0b3ODR6SbD9qtmyVteUBUrXeIi6AEEDd3WEZky3OY4ZBQmNVaFTdp0bXqc9TMnhxVgocCdJStImLS8cYI90ZvoM1tbloGvNdQlfSmGR0Tt7SNRuIIuCPSCr5NM2CNlxlbeOMA/NuQ0X6ABqfQVA7bUv83OP9W/3uaf63uXPNhNv7+6xg0byOpruqdX3QIeIIEgCcss5MkZq0bR7N21GxFSh/qUw3ezJ7pymDpnnygLAwTBvjMb35yzK7KLNzZrNuecdLV94RgnGvla95ZxWQENAvdwJ1v8AJI0BFt6sGzcfF0kZOlw6Rx9JJB/RDVS5Jy6R0u5znOfzH5RJ5/Sp/CMZxjH77FLa2uOqZTcG03boO6Q4gxz3g10zMSCFG3tjY4bb2dWtS33OBLhJEiJ/YkecK2DAGBvFGeTLe/F8YwC/2cq8p8Bp4hd8pYCbDPKxtz1ckXKwtlqh8lQA512tY53yWjoaNQL/ADl6bcTXdDH0Nc8+s5R/Vd7VUqVptBT2hp4K+/d32mo91OBGTj7ozMDXmpt9bDH4Y6/bbDundaHZ8QOemZ9FhYzDAxg4l5e8uG4kgN1uSbWPMolEXe8Hw19hbii+s+sZneqGXfxkFze+uhc1d9rGsHJogIpY4N/eragPscr3vB3ZRo0NsPlac/SopjbkDpIHtNlb8QGTDbf/AOUQ6L5nN/FVLbjHbqwrWFG1duuq3DWuymWGQR+4PmAprZ7DqNzTualYSGUyR4OGY+X7qnoiLoSrKzcGohUSiMktGVzrtAJFvSvvHsN+LSBofma5uYX0I1tyvXzrP2KjvLI/oaG7t+a5P9VvtWJtVNnqnjmYGsHqFz+s4rmtPGr6vtg+wp1P/BTo7z2wPvGIziZ7zeMZFWp9hb08DbcPb/5HVIafD/AfVZ+GbN5480jyHPaCwM+bcXBfcanqHtWUdnImMOaR1/pue1gHo0sPXde+z9cTSOkcL8SHgam7wxgdck8+8epV+bG5pXXDsvQI2NNuoEgn3rn1sdr8XxO6otuxSZSqQ7vBoB/pDYaToJPDnmrNVGCWNpReaG+57ZGUnxJzA10/Ze2MYZFDDnZJnc54a2z2uG67t2/S3tC8Nn8MFS54Li0MaDdtt5NgDfqBWHVVb5bB8jn2NwHEmx6uhWTYiH8nLJzueGb+ZrQd3pcVdNobvEtntmK1StcF9feG6/WN5zQAJA0aDw1JyUDhdG0xTFmMp0t2nBlvOAdc+ccV+/3Ks8q/9T8FjYngMcUT38cQWtuA4sNzzCwANzuXzjjpnzyBkGZgs1rvizH3GUX5bmG4vfnUPW0r2WdJHkzaDktbf1NGm9RGzFvjd2aFW6xcDeDX9WNwuIMO3Y5xkcsuS3cXq4fQFRlGyOUjeO8AOE/2WMiIu2qgIiIvqIiIiIiIviKw7ER3fM76LWAesuP8KxNrpL1Th9FjG+7N/Es3YmdodLGTZ78paOYhodfXp1up00rOMdIIQ6QuF3OG6wAuC/mtbVoO5fnXGtpBgW2VzeXFJzx1QawZAZtZnLsg3JwkTnlC6jYYUcRwKlQpPDe+S466F2UDjmDwyVY2Zw1z5WylpEcZDwSCA9wN2hpOhANiT1L12tIHERg3yBwbuvlaGMuesua/9FTeL4uyAEF2Z/NGw6/0z8we9UyuqnTPdI83c7o3Acwb0AKf2Sfiu0eMNxq7pdVRY0im08ZBGUgE6kl0AcBPCMxoWeFWJsKD9+o4y48oIOfLTIfE+Np2dmENHndzGRx13nLmAPQS0D3dKx6jagfMj1tveNL+gOWfSYUJKaKORziLNeQ0hvzAMp01AX03AYGjWK/W6R//AFLnhxPZc4hdXGI06leo6s8gM+7EmNSCZ10VoFpi/wBmo0rVzabQxoJdrMeRiFVsRxeSoGV7gGXByMFmm26/OfWVk7IH++DbyZ9gewn3ArJ2iZBHHljjHGkjKWuuGgEXJs/TTTUc6xdkP8pHVG73lrf2ke1dYr3VpdbI3T7O2NvT3H7rS0NmBrAJmTlJzMKl06NajjdFteqKrt5skEmPDPl6KxyUGer40i7GxMt1uD3EeoWB9TetQe19fneIGnkx6v639HqHvJ6FP43WcREZNL6taDvc8/J9Qs4n0BUNxuSSbkkkk7yTqSetU/oowatidZmKXebKDBSojhvAZnzaOPM/7VObZ37LRjrOjk6oS958OA+PyHivumbd7BzZm3voLXBNzzC11d8WxdtOWgguLs2jd4sGnp/OCqWAwmSojaDlPKN9NLNPT6h61bavBY5ZDI8OcTbTOQ0WAGgG7ctzpRu8J7YtaeKFxpspvcWs+8S4gN4gAd2Zmclg2PoXosazrMAOc5ol2kASeZ48uKhKradx+QwN+2CSPRZ1r+pQlZUumdne7M61rm2g6ABoBqfarm/CKeMXMTR9p7v4nWVVxx0fGkQtyMaLHW4c65uRyiMtrbugqa6PcUwKvcGnhVi+n3TNRzRpyLt4uz5DJaG01piNOkH3lw1+eTQTrziAMlasN5FHf6MId6PyDXH33VGHQth0gEkDGlpDXRNaWuGV1suUggrHkggg+UWs03F+QH+g0gOPqVA2P26Zg91etdQfVq1aswzP7u8PWSrLjmzrr6jbkVGsYxkS7xhUd7C212lt91wRf0X3qxbEsBMrrXcCwA9AIcfeQPYF91+LU7QRHG1z7WB+LtLfXmym3tUVgeJcTPndoyS4kDRZoubgho3WPMOa66Ri9zim0mz91T+yvoO3QWhxhz4IcQGxOYEDPMnRVSypWmFYnRd1zagnMjQSIknTKfgF97VT56lzfmxAMA/WcfTcn2BfGz1AZpMwHJjOYkjkl29rT1XFz1A9IVhxDBY6p4la8tzAZiyzmyC1gQdwNhb1BZhdHRxDcyNu4b3OPVzueVTX9ItG3wOhhWFU3G5LBTLd090xDv8Ak5xkiOcmCIU83ZepVxCpe3jgKQcXAzqNR5AZT6BRW1k/FwMhLszn5bk/KysAu53WXW968NiYLmSSw0s0E772JNj0WOvqUPi9aaiV0hGUWDWt32aN1+vUn1qybFNtA833yu0vu5LRr0HRb2P4bV2e2IdQflVqOb1ke88guGWWQAbyMeK1sNu2YntCKjc2MB3fJoyOfMmVmV9VDA7jJHAyAaDV7xpbkNvZl7b9FVMbxQ1LwbZWN+Qz97ul37PasWu/nZf9bJ/XK8VctjOj+zwoU7x73Vq24Ic7RgI0YOHLUmNIkqCx7aavel1BrQxkmQP6iDq48f8ANVJbMx5qqLobmf7Gm3vsp7GK7iq2mu6zQ1wffQBsjrXJ6LsB9SitjBepPVC8/rMH7yvzbN16kDoiYP1nH96r2OWTMW20FnW+4LVw8t8OBPn3lKYfcOssBNdmprA/lg/wpvaWq4uIkHUDkixvmfdjDfdoONPpa1eWNR8VQvZuvxTPYWNHuYFV6Ml8kTHOJaZYxYkkDUN/q6K07Zv/AL3A+lKwe5x/cq1cbM9hYhhWFh2+XVusc6IkNc0tHwhx+KlaWL9o2t5eFu7FPdAmdQZ9cvRRGxw/vgnojcNTznXTp0aVL4htE2N7mBpcWkC+mU6Am+o3XI9SwdjKYu4597N0ZpbU5Xeywf71Jt2fh3lrnk6kukfc+mxFyvG2t9gB2lruxUPqBjGMa1nP7xkkjSdATrzXrAbfEhhVMWRa3ec4ku5aCMjr/Cg6zaSV1wzLGOYhvL95IHqWLs+zPVw31OcvJPOWgvufWFY6uhpoWkuiboLkZru06Mz7k+hV7A6hsdUH/IZeTKDfk3BDQdb89lb8DxDD7rBL0YPZPoxScAS0AvcWuAzBLiRr4T4qExG1uaOIW/26u2p3xkCe6JE6gAAqa23ktFEz6Uhd+i0j+IL6a/43Q3Ju9oyv5zdm89emV1vUo/bKqbJJGxrg7i+MDrfNcS0WvznkpsXU5ZXxc0jcw+03X3tzfohVuhs/Wt9jLe9Y0tr27zXEiDG+d4Z82Q74BStTE6dXHqtu4zTqNFMwcp3RHoZHxKnMXPE0cgGmWIRD1gRj9qoqtW2NVyDEDzxEjpuXn3cWP0lVVbuh7D6lHCalxVHerVC/4brY/k/FQm3Ny2petpM0Y0N+Mmf4Vk2GjOaZ9uTZrb9dySP2LA2rlzVTxzMDGD9EOPvcVI7JHi4nyl1mXcCOVvuwDTnJ11HRr1QOJSZ5pnfSkeR6Mxt7rLHgFq6420vrwiWsYKYMf1dwEeYAz8xzXrEqopYDb0OLnFx8u8Z8s/2WOiIuvKkr3w5t5oR0yxj9cK07UutRtHO50Q92b+FVrBnWqISQTaRujRc+zntv9RV7q6VsoDXC4BDgCARcAjnBG4lcF6UMXZh+P4fWrNJZT7+WpIcch+y6PshZOucNuqdMw53dz8R/7WumC+gFz0AXKPblNiLHoIsfYrtNJTw3DnN+yXOkt6GXOX2KFxjFInMLIYmi+9xgYBY7y03uDr0K2YJt/d4rcNZQw+qKZjvu7rR4zEfDj4KFxDZuhZ0y6pcs3h/SMz6SpHYqK0L387pHNPWA1tvYS79IqsYk/NNM7plkP65Vu2Qbalbz3e8nXcc1teuwCpszbvcBvLyB6S6yiNiKvW7TYvWefuuDc+QLh6d0Ld2gZuYTY0xxBPxIH91fMKYI6eIXAAjBcTYC5GpPrXjWY3CwEcYHn6LRnB9mntK+do2ZaOVo5g0e2RvuVIVK2G2FtdpuvxK6qv8A9Z3dbAnR0kkH3uA+KsG0O0VbCertaLG/6YzPDUQB8Ecb3PSSfbqrdszKIqMvdoA6Rx1vuZm16Dlb+zpVRKulBhgfSxRyOdYhr7NcG72AZTpqBcroHS3WtKeG0Le6cWsdVbMZu3WgzA468SFWdiqdZ11UqURLgwxOkkiJWHNtQLciM3tvcNL+p25Q2I4xJOMrnAMPzGCwOt9d5OvSVaWYDA3fHfrc9/8A1KJ2hjgjjLWRjjTYNLXXy6i5dZ/RfeFVtj8W2W+3U6WG2FRzy4Q9zWnd/wB0lxiNSRmFL45ZYx9nc+7uWBsZtBInw0zn0VdREX6CXNEREX1ERERERERF601Q6M5mOLSQRcdYLfbqfQvefFZXjK6Z1ugENv6coF/WsNFH18Js69UVqtFjnjRxaCRGkEiVs07yvTZ1bHuDeQJARERb4ELWWWcSlsG8e+wFhZ5GnpGqxpJC75Ti77RJ/avlFp0MNtaBmlSa3yaB8gs9S6rVMnvJ8yT80X1HIWm7XFp6WktPTvHoC+UW0+m17S1wkHgVha4tMjJetRUOkdme4uJtqT0C37F5Ii80aNOiwMptDWjQAQB5AL0+o57i5xkniV6U8zo3B7HFrhuINj/3C9Za+R/ypnnqzut7AbLGRYKuH21Wp1tSm1zoiS0ExykiYWRlzVY3ca8gcgTHoh113+lERbQaAICwkk6rPkxmYsDONIAFrt0eR1u3krAJuSTqTvJ1J9KItGxwqzsp+zUm05MndaBJPOBmti4vK1xHWvLoyEkmPVERetJTuleGMF3Hd/36ltXFenQpuq1XBrQJJOQAHMrDTpuqODGCSdAEgqHR/Ikcz7L3N9tjqvmeZ0hu95ed13uLj6rnRXGhweKBmaQNcbAudJlLW+guCjMYZTSNcY3tjlaCRla4Mfb5trWuekLl+G9IWG32IEW1pUcJ3TWbTkCcpJHeDfHlnEK3XezF1b2wNWu0GJ6sug/Ccp/yVXlKYNi/xZkjMmYvu5rgdWuygC4tq3S/tWRspSxziWORuY3Y8cxsLg2cOUBci46woqspjHK+K1y12UdJHzSOm4IPrViurzDccurjBLumSae48g5BzcnBzSDMA5Hh5yoyjQusPo0sQoOEO3mgjMg5gg+Y04rwuTcnU7yd56yUVv2YohDHxjtHSC9zbRg5RJ6GbvaDzgCt4tKx8rjGLN53WtndckvDR8kG+g6AF4wPbGnieJ17G3pHq6UDrB92dCIjLMQIJJjQAL7iGBus7SncVXjef/Txjn/fJfuEYgaZ5e1odduUh1xpcHQjcbgLwrKgyvdI83c4+ocwA6AFL4Bghl/KSC0duTrYu16Lbuv9vNMVzKWIZJGxt/NDeX+oMwVdxPbbCLDGXC1tn3FyQGvdSG8Q0cNeHECNBJyUpZ4BfXFgOuqtpUgZaHmASeP9v2VOgkyOa8AEtc1wB3Eggi/VosvFsTM+RtskbGgNjvcXAtcmwuV54rExkn5KTjI3AObvu3811xvH71N7KUTJaebO24dIGnUg2YGvAuNRqebpU7tDjGHWdrRx2vRc4t3WtkEPb1hAd3XZBwE6idQCASVHYZY3Ves/DqdQAGSYMtO6JGY4H04xkoGlrHxAhkhYDqQ0216eo9a+Zap7/lSOd9p7j+0rzdvPRc2X4raywtS/r+qbvnMndG98TE/uoU3NYN6vfMDhJj0X5ZFn4DGH1MIIuM1yLXGgJ16rge1XKqZHGATE03PM2If1iNFR9rekBmA3tOybbmq57d4Q4DiRGYPJWHBNmXYjQdcGoGBpjMTwB/la+uvakqHRPEjDlc29jYHeLHQ9StVRjMMf/k31tyW07v2SHTrVTnfme5waGhziQ0bmgm4A6huUps9jlxjlOoy7snUacR3yHB4MgiI9cozWnieH0sPc11G4D3T/AEggtjQz/hX7UTOkcXvcXOO8nf8A9gvNEVvpUmUmBlMBrQIAAgAeAUI97nuLnGSeJUthWKiKGWFzSS7M6NwANnWuGu/NzNHtKjalwL3uaLNLnFoO8Am4Gi80UXZYHa2d1WuqIIdVMuzyJyExw0+fNblxiFavRZReZDMhzjP+6IiKYWivuCUxua9pyuabgj/7uWVXYrLNo6Q5fot5DfWBv9d1hIo+vhVnXrNuKtJrntENcWgkDwJEhbNO8r06ZpseQ06gEgHzRERb4Wss+hxN0MT42tF35rSXIc3MGg25j8kW6FgIi0bbDLa3qVatJgDqhl55kCBr8hlrzK2Kt3VqtYx7pDRDRy/z1U1i+MiWBkLc3zeML7XOVoAANzmu4ZiSoVEWtguB2mEUDQtWw0uLjzLnHMn5DwACy3+IVr2p1lYyYA+ARZX8pS5Q3jnhoFgA8jQbtRqsVFvXNjb3MddTa+MxvAGD4TosFK4q0p6txbOsEj5L6kkLvlOLvtEu/avlEWanSYwQwADwyWNz3OMkyiIiyLyiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiuWydOI6fjDoZMznE9DSQLnosL+sqmq7YY3PQBo3mB7dOkhw/auRdMdV/ZdChvbralZjXn/bDj84PwV22FYPtlSpEltNxHnIVYxvEjUyE3tEP5tnQOk9Lj/2WAvumhMhs0X6ToA0dLidGjrKl6zCBFTmRzrSaZBY3kN7u5J1DQ25G46EnfYXJuIYVgLaGHMhskMY1uZz4mM/Ek+J0lQJtrzEjUunZxLnE6eQ+QHkOSwcFquJnjf8ANvlf9l2h9m/1K3V+HsdKJ3aBrHCTnzAagAdJBIPVpz6UUq+OqstJxrmWyMvkdZ3KabMv/SDSua9LFpWt760vLQkVKs0HbpguDogfuc4IGU8FbNjK7KlvXoVwC1kVBPAiZ+Q/fxUHtPiRN4BoTYzW5udsWnRvPSSozAqbjaiNhHJuXO6LNBdY9RIA9aw3uLiXE3JJJJ3knUk+tSuyTrVTb87HgemyutxhLdntmbina5PbSe4kal+6c/hw5AAKv0704pi1N1b7pe0QeDZ0/v5lTu0+JmBgYw2kkvY/QaN59O4D19CphN9d5OpJ1J/7qe23ZaaN3M6O3rDyf4gsXCcIdK4Eiw3gG+t9xdzhnvdzc5ED0fHC8C2bp31RwaagLnuP3iZIgcYbERpqeJUltMLvEcVdbNBIbAaOAEAz8f8ApRauuCM4qkcdNWcZp/qGHXr0VTxaBsUr2McXsbazjbXSzrHcbOBHqVxqIi2jkaBdxhc0Aak3ZlHuWh0pYlTu7OwYww2tUa7PI7vd1B0jeznRbGx9q6jXuXOEmmwjLPPPTnoqIF+rPiwiR3zbfpO97AQPXZer8AmG6PNpqc0bR6rvufcumv2pwmm8U3XNMHxcPnoqm3B71zd4UnH4FZGxTL1Dj9GJ3tLmj9l1NY/hBqnRnjAwMDt7S4kkjrHQFEbJnizUPNrsjdcZhpl5RuBvF+deNVik0r38XnyF5yhjXk5b6bupchxzDMSv9rKl5h9VlLqWMbvvggbzTIEyCYcSrth13aW2CsoXLHP33OO63XI/9Be9Zs2I4y81ABA0zjIz23J9gVfWXLRTPJc6GQnpMb/w0WIehdV2Xp3VOk4XV626fIMta0Bvh3dfiqdi7qLng0aBot8STPjn/CIiK0qIRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERT+z2MthjMb/AJt3MNjyhe5Z1O1JB3Hcbb1AIoLaHZ61xu1NrdA7sg5GCCOXy+KkMMxOth9brqOsEZ8iro7FadoDgWnnAa0Xbp9E2yn0Kt4piZmJtcAixc48ot+iANI2dQuTzkqPRV7Z3o7w7B6xrtc+q/gXmYHhp/bIGJUpim1F1fU+rIaxvENESvqMgOaTuBBPovr7lcdqpQKR2W1nuYBbrdxmns96piyKmtfK1rXvzNZ8kWaLaAcwFzYc6zbTbKPxXErG7a8BtB5c4HiO6RA5y3iRAPHRY8Jxltna3FEtk1GgA8tQZ8IPJY69qGo4qRkgF8puR0jcR1aErxRXG4t2V6TqVQS1wII5giCoKlUdTeHtMEEEeYV0jxqGQgOcBpdrnNItfeCbch4tzaHSxWFiuNsDMkQJBvmDbMafS5pvY8+WxPSOesIuaWPRNhNtcNq79RzW5hjnd2RxyAPj55hWy420vatIshoJ1cBnC+5ZC83PUAALNaOhoG5o6Ar58fZHEx0kzdWNNx882Fyxu8i6oCWUttfsJb7QtoU6lQ020icmgSQQMgTppyI8FpYHtFVww1HNbvF8ak8J4cdfBWur2paPkRF/W4hg9mpI9iiMQxySZpaWsa08wYHH2uvY9YsotF6wjo4wHDXB9KgHPGjnkuM888gfIBfL3anEbsFr6kA8GiB/f91Zdk6iKKJ7nyNbIXnRxsctm7hzi4UlLtDC3/zC77LHfvACpCKGxXonw7E7+pe3VaqS8zuggAcIHdJhb9ltndWlsy3osYA0RMGfnqrPXbTgtIia4O5nPa2wPTYOKrCIrfs5sph2A03U7Jm7vRJJkmNJPhn4ZqDxTGbrEXh1w6Y0GgHwRERWRRaIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiLW/CRtdUUNaIIHtbGaeOSzomPOZz5GnUjdZjVshUnbbYU4lVCpFWILQsiyGnMvyXPdfNxrd+fdbmUDtFSu6lru2c78jQxlnOchdB6NLzBbXF+sxsNNDccO+0uG9lu5AHPXOFSPCNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKovZ+0XN/5x9S/QvtH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoPwjVvlWdhH+CeEat8qzsI/wU54J3fWI+5nvKeCd31iPuZ7ynZ+0XN/5x9Se0fRj7lD9B30KD8I1b5VnYR/gnhGrfKs7CP8FOeCd31iPuZ7yngnd9Yj7me8p2ftFzf+cfUntH0Y+5Q/Qd9Cg/CNW+VZ2Ef4J4Rq3yrOwj/BTngnd9Yj7me8p4J3fWI+5nvKdn7Rc3/nH1J7R9GPuUP0HfQoRnCLWEgcazUgfzEf4LdpWrmcFDgQf5QGhB/wAjPeFtAq2bMW+I0us+3E5xuy6ec8T4LjXSxiOzF2bbsAMEb/WblMs13N2ZaJ/q8viiIiti48iIiIipe3XCdRYLUspax8jJZIWzt4uB0rMjnvjFyDo7NG7T0K6Llb4YH+eqP/ZkX/M1Cj8SuX0KO+zWQprAbCneXXVVZiCcvBbbZw8YQf8AS5G+mjqP3MKt1RtlSR4azF5KkR4fIxj2TvjlBcHuyNDY8vGOcT80NvYE7guedguDHCcSpqHNjxZiFTFGZKNk1JxjZnNu6NjHNzEjXTU6K5/CLwtuGbJUOHseXsgq6SnY99g54ZFO67gNL6cy0qV7c9U6q8NgCRHPxzUpc4TYfaKdvSLw4ugzl3c5iR++atMnDng43V7nfZoqz+KEKY2J4TaDGah9LSVDnzMjMuSWJ8OdoIDuLzjlkXBI32N+YrnHgb4J249SVVY+tdTNppjCI2QNlMhEIlvnMgyfKAtYqP8Ag4n/ABnwv7VX/wAhUBa1PFLnep74EOP8xzW/X2esOrrCk5xfTEmeBgkcBMwumNouFrC8PqJaSevy1EDsksbKeqlyOsDlL44iwuF9RfQ3BsQQonw74RmA+NyWJsXfE6nK3rPIvb0Arm3hAp21G02IRPfxbJsYmifISGiNrqrI55LtAACTc6aLYe13ATGW05wfEWVri6QVAqaylDQLN4t0Rib05wQb/N607Sunl3VgEA/HXzQ4BhtFtMVnOBcJnhpJ4QPCSt543wg0NHQU+JyVV6KqkEUE8UUsokdZ5tla3M3+ak3gatWHQ8KNDPh9ZikUsj6ShfGyocKd7Xh0jmtbkY6xd8tt1p/hm2flwrY3BaCoc108GInOYnF0fLZWTNDXEDNZsjQTa1wbKG2CZ/iLtI7prIB7HUh/iWZ+I1hU3CAO7vacd2Vq0sCtHW4qgkzU3Rnlu9ZuzpyW3o+HrCTvqZW/apJv4QVZtiOEKixqSWKiqHSvgYJJQ+CaENaXZQbyNAOvQVydwT7OUOIyVLMSxP8Ak1kbI3QOMkMfGuc5wcLygg2AadOldI8EvB3S4NHU1tFXPrYq2mDWyOMLoy1hc4OjfGLO1uPUvtje3NYgnd3ePP0n+F8xfCcPtGlrS8PyifuyfGI08V7VnDbhETnMOI53Mc5p4qlq3tJaSDleIcr26aOaSDvBXjTcOmEPkDPjr2ZjYSSUlQ2MG9hchhLfSRYdK5Y4OMFixDE6Sjqaj4rTTukEs+eNnFhsL5BypOSCXMa3X6S2ZtVwDPdUMGE1cVXSuhaXyVNZBxjZszg5oETLGPLxZFhvJC1qeJ3lRu8xoImPH5rfr7P4XQeKdV7gSJknL1iJ8FvTbbhLosHdTtqpXj41Dx8DooXStey9r3G7m9oVe8PuE+Xm+6SL1264IY8aiw0VFY+GWgooqQmBrHskIa3O7lgG2Zptu0XKdRg4bib8PDyWtr3UQkIGYgVBgD7Xte2tlmvr66oO0EHT/JWrhGD4beUz3nFzfvepjguydhOEqixueSno5JHyRRcc/jIHxNDM7Y953nM8aelXFa74KeCiLZ6eoniq5Kl88IgcJY42NaBIH3GUk3u0LYimLU1TTmsId4Kr4i22bWItSSzLXnx5KibYcLNBhNY+hq5JWTsZG85Kd0jLSND22c066HoUazh3wg/6ZI300dT+5hWi/hTf+JKj/wBNR/8AAarVsrwR4PiLaeOHH3SVcsLXupopaR0gdxQfI0My5jl5XoDSoY4hdOrOp093Ixnlx81ahgmH07WnWrb/AHmgmM+EnQGAugq7aKngom4jNUNgo3RRzCaW8d2yND2ANIzGRwcLMAzEm1rr4G01OcO/lbjx8Q+LfGuPs7+by5vk2zcZfk5LZs3JtfRaj+E3sO+TCaKpge6RmDwthmh1s6DKyPjw0aB7CwZvzXE6BuugI9rqgYS/BuN/vJ9S2qLDcuDgNWA30hL8smX6Tb85vlusVfb1Cx7f6cvP+y1sP2co3tAVadT+qCOTZ/8AtEHlmu38F2hp62lNZTVLKmnDS4vidmLbNzFr2/KjkA+a4A9SpEPDphDt9c9n2qOr/hiKofwX9kHw0WIYxIXMbVUk9NSxXs2SNvKkmcOf8pGGN+zJzELTHBdgLMUxehoJnObDUyOZI6ItbIAInv5Jc0gG7RvBWOridwG0y1oBdz8wB6rPbbP2RqVw57i2nGY8iSNDMR4LrOl4X8IktbFY238pHUxe3PELLL2z4SKLCRSOqZnGOujdLTSwRmoikY3IcwcwnkkSsIIvcFcrcN+xsWBYm2ip5ZJYjSxT5qgxukBe+RpF2MaCOQObnVj4dz/gfY3/AGP/AGNIvBxWuG1A4AFsfOOayN2bs3PouY5xa+dY03SRwXUGyW0MOK0rK2leZKeRz2tc5j4ySxxY7kvAIs4ELPxCsZTxSTyyCKGFjpJZHmzGMaMznOPQAFrr4MQ/xZoeuWsP/wAuQfuU1w3y5NncXP8A+G9v6b2s/iUxTruNsKp13Z/aVV6tmwX5tmzG/u+MTCiZOHLBxuxBzvs0Vb/FCFk7OcMOGYhVw0UFU4zzuLIuMp5Yo3OylwbneAA51rAc5IG8hc1cC3B4NoqmphdVGkZTQNmL2wiYvLpAwNsXtDdLm+u7coyjw0UO0cdGHl7aPHGUwe4BpeIK8RBxA0BIZe3WoMYtcw17gN0mP78VcHbNYeXPpMc7faJ10nTgAV1btbwsYfhVXJQ1U8jKiIRue1tNLI20kbZW2c0WPJeFM1O2lJHhbcZdP/g9zI5BM2OR5tJIIWgsa0uDuMcGkW0IN9xXLHwntdp6/qjoh/8AChXns5tdm2VxnBZXasdSVdFc/NNfTiojHocWyAfnynmWU4u9tWox0Zb0eY0law2Xovt6NVky7c3s+DomMuEz5Lp3YrhIocZnlp6Od0skMJnkzwSwsawPawnNI0De9unp6FE1XDbhEbnNOJZi1xaeLpKx7SQbclwhyvb1gkFac+CryZMem8nhTtfS4v8A7P3LX3BVsh/LmJRYfx/xYPjmkdMI+NLRHGX2DM7b3IA36XXztW4LGboBc4n5wOK9DZyybVrdY5wawNOvMEnh/C6go+HDCZZooW1jwZZGRte+mmjjaXuDQZHvaAxlyLuOg3qT234UqHBqkUlXJIyYxMmAjgdK3I8uaDmbz3Y5clcKmywwXFajDmzGdsDYHCV7BG5/GwMmPJBIFi8jfzLpLbnghhx51NXyVktPIMPpocsbI3sLWMLweVrf8oefmXujfXdXfaAN5p/vPFYbvB8NtzSqOc7q3g+c5FvDiCeC9vD7hPl5vukim9n+FWgrqauq4ZZOIw2OOWqe+nkaWNkLw3K3UvP5N2g6Fx5sVg4xDEaGhLzGKuphgdI0ZnMD3hpcASASBfRdHYrwaxbO7O7R8VUyVJrKOIPMrGMDeJc7LkDenjnXv0BeLXEbqqHPgboBn0JHFZcRwPDrZzKUu33FoAngXAHhylXrY3hOoMXqH01JUOkljgfUPzwSxNbGxzGOdmeANDI3TrUDJw94SCR8YldYkXbSS2PWL8y1D8EyG+KYi/6OEVDf0p4P+lUbghwKLE8aoaCoDjT1DpmyCN+R/Jp5ZG5XWNuUxq89q3BYwiJcSNPID5rINnLJtWsHF26xrTrnmHE8PBdKHh+wny0/3R/4qx7U8JdBhsVFPPUO4nEInTUj4oZJRJGAwl3JF26Ss0PSehcu8POyEGCYo2jpTIYXUkM/5d7ZHhz5JWkAhreTaNvN0qe4dh/gTYwf/qXn2xUZQ4pcMFQOiWx84Xz2esajqDqZduvnjnG6SOC6T2O20pcWppqukmMkMD3Ry543xvYWxiU3Y4XIyuBBG+x6CoTZ/hew2vqoKKnqnyz1D8kTfis7Gk2LtXPYA0Wad65z+D7td/JtdPTSODaXE6aSmeSQGsmEbzTvJ+050f8Av78ywvg9MzbS4UOiWZ36NLM79y9Mxio/qwIkmD6jT1XipsvRp9eXb0NbvNz8DM5cCPRdrKrbf7fUuB/FzWOkaKkyiIxRGX+byF2ax5P8433q0rnr4Zv83g3267+rTqYxCu6jQc9uoj5qsYLZ07u7bRqaGdPAEq7M4ecIP+lSN9NHUfuaVY4+EagOHfysavLQGY04ndBUC8gucoYIy++h1tbRc4cGWwmFYjQwy1mOfE66SSRhpeOpmEWkLI7NkGYlwsd/Otx7YcHjKHY/EcLhkfM2njmro5JAzjC6KQVbhZot8mNzdOZyjra8uqjC8hsbpOXPhOanL7C8No1W0ml4JeAZ0iYJBLYMK37Ebf0eNPqI6Gd0xpmxukLoZYRaQuDS3jGgu1Yb6aXHSvjaPhGoMOrPiNXWCmqOLZLZ8UxjyvvlvIxhaw8k6OI3hc8fBMxPicdfAXWbWUU8QbfRz43MqGn7QZFL+kVW+HOtNdtLiWS8h+Mso42jW5hYylyt9MjHetxWI4tUFsKkDe3o/wA/ZbDdmaJv3UCSGBgcDxkmOUc+C6i2u4UKDC20j55nOironTU0tPEZo5GNLQXXad3LFlDM4eMIP+lyN9NHUfuaVq34V2HCjbs9SN+RS0EtO30RCCMf1VGcG3B5hWJUVI+pxz4tiFQ5zHUQmpWuDzO6KJrGPbmLntEZA1vnX2piFz15ps3co18h4pQwTD/sjbipv5k6Z8TGQB4DyW/8S4T6GDDafF3TPdQ1U7qaGVkEmYyN42+aNwDmtBgkF7cw6VEw8OmEO317mfaoqz+GIqh/CD2ZZg+ymGYdFI6WOnxXkyShoe7jIq6c5g0W0MhHoAVT+D7wZ0u0EGIOqnzRup5adkTqeSNlg9kjnZg+NwceQ1eqt9dCsKLQ2YB+MSeKx2+EYc61dcvLt0OIEct6BlHquhtnOEjDsRmZT02IxyzyX4uItlie+wzENErG3dYE236FWxcScA3/AIkwj/1P9k9dtrdwu8fcsLnACDGSidoMKp2FZrKZJBE5+ZCIiKTUCiIiIi5W+GB/nqj/ANmRf8zULqlc9/CU2BrsVxSmnoqJ1TDHQRxOkbJAwCQVE7y20kjTfK9p3W5SisYY59vDROY0Vi2XrMpXoc9wA3TmTCcC/A0WOwbHhiFwWQ1hpTSn58ZuwSibmzb8vMpj4Yb/APA9E3pxNjv0aWoH8QWp6Tg32ghAbHTVMTWgBrY6+JgaOhobUAAK/be7HYnX7MYHRupJajEKeoqX1bZJ4nyNbmlbG6SR8tn5mvbblHT0KKpuP2d9JtJzcp45mQFYqrW/bqVxUuGPAcQAIECHHODw0la14NKzG4aWQYRHUGkkmeZXQ0sU0Jl4trXXfJE4BwYGaX6F5fB6dbabCv8AWzj20kw/euk+AHZybDMDjpaqEwVJnqZHxFzHEZ3WaSWOIN2tbzrTPA9wZYlQ47h1XPhz4aaGdzpJHSU5yNMT2XIbIXHVw3DnWL7FUYaLu8cwSPdzHotjtahWF2zuNgEAyJfk4fH/ALWdtvsXhGIY7VU0WNyUuJVVc+N9K+hnqIhVPfy2tl5AymQuPyrC9gdyo/DFwZO2cNJnrG1YrOPyZYXQuYIeLvmBe4G/HDceZTu3XBVizsZr6qno3ytkr56mCphnhZcSTGZjmF0ocxzQ4DqLVGYlwX47VFpno56jJfJx9bBKWXtfLnqDlvYbugLDXpl28OpIM5EA8+Wa2rSu2n1Z+1As3cw4tnTKDkRHjJUztvXvn2DwF0rs5ZiMkDCd/Fwtq4o2npysDWjqaFkbDMtwf4+fpYg23oBoB+26sO13BnXnZPBsKiphUVtPWy1FRHFLEGxNl+MPAMkjmtLm8cxpsSL3sSNVIYJwf1tPsViOFPpf8I1FTxrKdk1O8lplpiOW2Qxg5Ynn5XzVsi3q9YSWn/TjTju/NaD7236gBr2/686jTrJny4zotR8DXBv/AHRPrIxWfFDSMhff4vx4fxjntsQJGZbZOveutdidn/5Nwylw50nHCmgMLpchiEgu4k5cxLNHdJ3Lk+j4J8bhJMVBNCTa5iq6eMm265bOLraXAPsxi9JW1gxFs7KabDp4onVNWKiJk5kiyEMEzrOyh+oG4EX1XrDHGiQDSMnInOPTRY9oGtuWlwuW7oghuUyBGoMqmYPwa4VjNW6lwvaCTji2SVkE+GzkNjaQSOMcYw6wcOs23KkcKWxb9n8QbRuqBUP4iOpbLGx0WXM97QLFxIcDHe4POFM0fBPjdNLnhoZoZG5miWCqgidY8k5XNmDspHuK+6nglxurla6eille7Kzjqmsp5C1t7DM505cGC5PtWhUpOeyBRIdOoBiPIypqjcsp1JN01zI0JbM85EfJdY7DVr6nDMNqJTmmnoaSaVwFg574GPcbc13En1rjWFufaho+lj4HtxG3712lsvQGkoqKlc4OdTUtNTuc2+VzooWxuLbi+UlpOq5nwXgpxP8AuhirXYeWUrMZZVvlfUUrbQtrRMXBhmznkC9g26mcUo1HtpAAnn+yquz1zRpPuS5waCMpMe9ouqCiIp9UxcffCm/8SVH/AKaj/wCA1bW4H+Bg4XW0WLjEOPb8XL/i5pDGf74piP5zjiDlMn0dbcyqvwgODnEMSxyerpKB09O6CmY2QS07QXMhDXCz5AdDcblUqfg72hjADIKqMCwAZiEbAAN1rVOiqW6ady97qRd3pETz/ddL6xtewpUmXDafcAcDBkFoEZmQuoeEbaGPCsLrK2ZoeyOItbC7UTySfk44iLG7XucAdNG5jzLg95uSbWuSbDcL8w6gunOFHYLFMWwbA4Iy10lFRxmtpJ5w2olq2wsiz8a4mOVwAkF3Pbq9xuc2mNspwHZtm6qCpiEWMVTzUROcWk0r4czYIS9uYBjwX5yL6TjeWBZsQpV7uqAGwA2f5/6WpglzaYbbkuqAuc+DB0AJAMctTPjCvnBNtNHimzkckbGxPpqR9HPBGMrIpIYMvIb82NzMjx1PtvBXIWymOyYZWQV0GXj6dznR8Y3Oy7mOjOZtxfR59y6G4A+DrEsJNdNUhkFPV0UsTqLjWyzvlF+JeeLuxlg6QfLvaWxHRWuA3gtxGhxyhraugMFLB8YMj3z0rrF9JLEz8m2UvPLe3c3ReK9OvXbRlpBGUxpmIP8APBZrKtaWj7qHtc05gSM8nS3x5cVqjbfaqfGqsVdUWvn4pkI4qMRtyNLi0Bree73arYXwgIHRYZsjFIwxyR4Plkje0texwipgWvadWuBBBB1C6zabbtPRotF/Cf2MrMWnw11FRuqmwQ1DZSx8Tche9haDneL3DTuWS4wx9Gi928Xkxw8fisFjtBSubmkzcFNrd7jl90gDQAK2/BnZ/ixh2m91af8A504/cvf4RcuTZnFObMymZ+lWQBc7UnBrj0TQyOkqYmNvlZHWRsaLm5s1s4AuST61sei2UxSTY7EcMqKWWSvkxCF8Ecs0ckj4Q+mkJzulIADopdCVlpXdR1A0TTIhhE58B5cVguMNosvBdCu0zUBiRkC6efBah4LqnFIpKh2DMmc8tibUmmp2T2aS4xiTPG4NBLX23XsehR8ck38uMfVgit/lRj6sPa1j+PNUHS5mtAa12cu0AAXRnwYdjKnCIcSNbSmmkqJKXiw58Ty9kbJbn8m91rGTn6VrrbngyxKfaGsrYcOfJTPxM1Ecokp2hzDMH5gHSA238yjXWNRtBju8TOnLPkpyni9B93Wp9wANEOkd7IZTxiVXvhMn/GjEuptH/wAjAoPhV2ROD1wgFzBPTwVdM92t45YwXNvzlkokZ02aDzrZvDZwXYlim0FfV0tDxtNKaYRzOqKWJrslJDG4gSStdYOa4buZbD+EDsA/F8Kpvi0XG19A6PimAsaZYnhsc0Yc5waLERyXJ/8AKIHylkqWD6hrO3TIMjLXMzCxUcZo0G2tPfBBbDsxkd1sTyzkZ+K1T8G5+Sh2rl+hhB98VUf4Vrzg6mro6zPhTZXVrYn/AOTQieQREta8lrmuGS5YCSOcLc3BJwe19BhO08FRQmKbEMPbBRx8bTvdM/iathaMkhDTeWP5VvldRWR8Gjg/rcLxKqqa2jdTMdQuhic6SF+Zzp4nkWje4jkxk69CMtKj+pZBGucaZlK2JUKX2qoHNd92BIO93B6haO4Q5qySvlfijXjEHMh40TRRwyZRE1sV2Rta0fkw3mXbuzz74dSO6aGnd7adpXP/AMIHg6r8SxyaqpKB1RA+npmiRskDW5mRBrhy5AdLBb+2cp3x4ZSRPYWzR4fTxyRkglsjaZrHNJBIJDgRobKQwyi+lWqgz5njmVCbQXlO4tbctLZ1IB0kDKOELjbgMjzbRYOOisY79EOf/CurOHM22cxf/wBJ/aMC0hwMcFeJUWN4fW1NAYKaCR75ZHVFIS0GCRrfybZi93Kc0aNO9b44XcMlrcDxGlp4zNUTwNZFGC1peeNYSLuIA0BOp5l4w6i9tpUDmkEzw8Flx26pVMSt3NeCBuyQRA7/ABK0T8EKO9ZizujDg39KYH+FUr4PX/iXCv8AWzD20swW5fg17AVuESYlJXU3xYVMEMcP5enlLiHPc64hkdkGrd9lqal4J8boqgSQUUkc0DzxdRTVNO0g2Lc8TxKCAWk9BsdbblomjVZToncORJOXiFLtu7erXumdY0bzWgGRH3XA+cSpf4W/+f4/9nU3/FnX5w8/5n2NH/6cH2wUajsf4N8exCUT1VFNUzBjYxJNU0rn5GkkNuZtQC53tWweGfg1rqyj2dpKSl+Nvw7DvitQ9s0ETGvbHTs0M0jbgmJ9vQvj6dWp1z9wiY4f7l9p17eh9mpGq07sgkOEZMI+C03j+yZgwbCcXbcxV/xuCa+ojnhqpms9AfCzQdMLzzqb+DZFm2nw780Vbv8A4Uw/et9YLwdPk2PZgdUwRVYhne0Z2PENT8ZkqYTnYS0i7mg2O5zgte8APBriGHY5BWVdAaenjhqWmR01O6znwujaMrJS43Luhehh76dakQ0wd0nLQ5TKxuxqjXtbljniRvgZjMGd2OfL/wBrpVc9fDN+Rg3267+rTroVaY+E/sfV4s3DBQ0rqkwOqzNlfCzJnEAZfjHtvfI7df5Kn8VaXWzg0ScvmFTtnKjKd+xzyAM8zkPula+4HuBk4pR0eLjEOItUucac0pkB4iotYSCZts2T6Ol11NURCRr2OF2SNcx46WuBaR7CVxzRcGOPQANipKiFoNw2KthjAPSA2oGq6E+D/htdSYXLDibZRUisldH8YnFQ8wmGHLZ4kfZucSDLfp6VoYS7dPV9WWyMyZgx5qY2kZ1g677Q18HutESAT4HOMlzJsXVfyFtLTmV1m4fibqed50tGJXU0zuzc8rJ4JKY4rtRQukFzLXvr5rXIHFl9Y6/5pcwDX6Q6Vd+HHgor6nHKuroqI1NNV8XMHRyQtyScU1krXh7wQ7jGOde1rSDrVg+DZwaVmG4hUV9dTfFg2ldBAx0kUj3vkkY5zxxb3ZWtZGW62vxnUVGUrOr14plp3Q6dMv8AICn7nFLb7G64DxvupgRImYOUa5EqL+GZ/lGEf6ir/wCJEvDga4GTWQYTjoxDi7VDKo0xpC+/xasPJEomFswh35dM3OrR8J7YmsxabDXUVI6pbBFUtlLXwsyF74y0HjHtvcNdu6Fquj4M8fhaGxUtRC0bmxV0MbRz6BtQANSVnuaZbdve6mXDhE+HJaeH1muwynSZXbTdnMwcpdlBOS278ML/ADJSf7Vh/wCUqloTYPhGrMDinionxsFQ9kkhkhZK67GlrcpdoBZx5ltzaLYjFK3ZOhoJKaSfEocXfNIyeqhdJxHEzhrzLJNlLQZWttmv1KX4MeCeYbPYphWJQimmrajjYCJYpjE5kLOJkLoXuAyytN231aXDnXqvRr17jfYC2Wz+2k/svNldWlnZdTVc14DyIkZje+9GeQ1Wofg8YXLPtBh0scLnxU8xknkDTxcTRE88t+5pO4A6kkWXZ60N8HPg/wATwetmnqo2U1HUQmKaB08ckr3sOaF7WxFwBaS8cpw0kdpqFvlSWDUDSoneBBJ4qA2qu217sbjg4BoAIM85lERFMKsoiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIixq/EI6cAzTMhBBIdLI2NtgWtOriBve0f0gsleA9pJaDmFldQqNYHuaQ0zBjIxrB0MceSIviomEbHPccrGNLnO5g1ouSbcwAK86OrZMHOjkbI1r3RucxwcA9ujmkj5w50NRoduk58kFCoaZqBp3QYJjKeU6SvdEWJT4nFI/imVEckmUu4tk0b35Ra7srXXyi416wjqjWkAmJX2lb1agLmNJAzMAmB48lloix5q6Nj2xumYyR5AbG6RjXuJ3BrSbknqRz2tEuML5So1Kpim0uOuQnL4LIREXpYkReUVQ15Ia9riM1w1zXEZXFjrgHSzgQeggheq+BwOhXt9N7DDgQfFEWDV4xDDI2KSpjjleQ1sb5WNcSbWFidCczd+/MF9x4nC5+RtRE5/0GzRl36IddYvtNKY3hOmvFbfZl3uCp1T90iQd0wRzBiI8VloiLMtFEX451gSTYAEkk2AA1JJ5gsakxGKZzmRzxyvaA5zI5Y3uaCbAuDSSBfS68uqNaQCczoszLeq9rntaSBqQCQPM8FlIiL0sKIiL6iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiL4i1nw11J/JxfMEbWkfnTSueHelooHN/35101sPBdUyz0JqJ5TK+WZ+UmwDWRsZAA1oADRmicTYC5cTzrXnCfWiWtns8OyzGPKL3Y2GNsbQ7Wx/KOqXDoznpV62O2hpKTD6SF9ZG17IWmRodmLXvvI8ENB1DnuC5/h16x+M1qr3hrQCMzAJBgeGQnyX6R2nwGvQ2FsbShbmpVe4O7rC5zQW7z9ASJcGycgYHBWDap9qV4z8XnfDHm11D5mNc3QfOaXDo1N7Ba44IcQlmrXxZyILT1j4wbNMj8kXK6RZ97HS7Qd6nNudrqaWlLIZ2zSZnEACQFhEEuRwu0a8Zkb/SUdwGU2tbMRoBDE0+kve8e6L2rNe3TbrGrdlF8gZndM6SeC0sDwmrhGwuI1r6iWOcQGioyDLiGSA4TxkfstnSyBjXPOjWNLiegAXPuC55wCN81fTtYTHLJUsN26OZeTM4/0Rm9i3jtjNkoak5gzOwRZ3AlreNcIrutzDP0j0jeNXcEsPxjFuOcNY4p6g6aBzyIv7Z3sXnalv2i+tbcc59SPlCydEVXs3Z7F8TcAYZAnm1jiByIJcP8K3Quedr6/wCM19XPfR07gw/mRni4yOjkMafWt77Q1gp6SomJsI4XuuN97WFuu5C0Pszhzaqup6bXipJg06gP4pt3uFxudxbDqFi22qOqOoWrNSZjx0b/ACtroCtaVtTv8XrjusYGzH9IBfU+MBuSvPBBtC+Wonpp5XSulY2WJ0ji45omiNzbk7zHkP8AunHnWyK2oEMUkrvkxRvkd6GNLj7gtBDPhWJagukoqjdpeRnV0cZE7/3FtnhJxANwid7DcVDI42H6TZXNv/7eZZtnsWeywrMrHvUt7XXifnIWj0m7HUbjaKxr2YHU3nVgbogTLQSIygsLT6rUWA1sgrGytaH1M7nsY45m5Jqi7BK2x+U1781jf966GYNAL33C/TzLRvBXR8dikH0YWyTuHTlZlb7JJIz6lunFqniaeeY7ooZZT/Qjc/8AcmxLXNtKtZ5y3vkJJ+P8L709PpVcZtLGi0bwpiT/AM3brB5ACY8VonbiTjK2aYm/Hl8noYJZIoh64IoXelxXjT7NVMrA9lFK9jgSCInWcL20uN2hXtT0vG4lTU3yss1HSvvz8UI4JT/7byugCoLCMBbi1WtVqOLQHcOJOZ1/zNdD216RauxtpY2drSbULqc94kBrGwGiB6a8NCtObJbU1OGu4uqjlfSAtY9szH8bT3Js5hcL5dDyTocvJsd+3qWdsrGSMcHxyND2Pabtc0i4I6rKvcJmHNqMOmJaDJEGyQvsMzH52izTzBwJaR19QUFwN1r2isoJP9FkzN1HJLnvZIwD6Odhdfpe7qVpw6pWw28bYVXl7HCWE6g55eWRXItp7ey2pwSptFa0W29ek/drMb91zTugPGmYLhOWfGSATd8cqOKpamQ6iOCZ9gLk2jJsBzknS3WtGcHsDn4lRNjcWESte5zfoRjjHg9Rawt1+kFt3hFqzDh8rmuDHZo8pcCWksdx2Q2I+UIi3eNXDnsDQ+BCkzVk8vkKYMA65Xix9OWJ4/pFaO0DftOLW1AcM/3k/sFPdG1XsvYzFsQcB3paJ57u43LT7z1t5ERX1fnZERF9RERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERF+E21O4alfqj9ppzFRVko3x0tQ8elsLnD3hYq1TcpufyBPoFs2Vubi4p0R/U5rfUgLn+rnNTMXAcqWR5bpYkyzvl5XSc0pF+gDoVrdwY1YJGaAj6XHS2/4N1XtjKbjsQoo+Y1MTj9mN3Gu/VYV0MuXbNYFRxNlSrcTk4AQY4Sf4X656VukK/wBlK9taYZuCWFzg5s5SA2Mxycue9o8AkoJHRyOY5zBDmMTnEAytlc1vKaCTlhcTp85vStocDdLxeG8ZbWeolk9TbQj3xH2rXO3FYarEKwNGYCplAsTciGNsOutsrWwPd1Z39K3JsfScRh9HERZzaeIvA5nuaHv/AFnOW3srZ0u06rqQ7rA4D80fJQ3S9jV0dk7OleEddWcx7gBGQp7xy/5EKvcMlY6Khja35M05ikbzOaaaa1/sv4t462NUJwGQ3krpOhlOwH7TpHH+o1ZfDnPaGji53SzSfoMa3+1X7wGj8jWGx1liF+Y2Y7QdYv7wtuq7rNpGtP8ASP8A8E/yoa0p/ZeiyrUAg1H5nmOvA/iPJS/C9PkwuVt7GWWCP2SCU/8ACVE4HoM+Jtda/FQTSA9BOWH22lKt/DQwvo6djeepfIb7iIqSolcPTlY63XZQnAZFeetf9CKFn6b3u/svcseJMNbaGi06Dd/YFy2dlazbHozvarT3nl8//wBubSHyXrw14TlfBXMBGa1PMRcEOF3xPuNxtnbf81iitssc+M4XQs3Z5nS6X3xxmORp9EsshA5mPiW1Np8LFbRz0xteSM5CdzZByo3ep4b71zxI4tGV1xkLrsJNmO0D9Pmu5IB+yOhaW1VN9jcVHM+7Wbn/AMgRPr8yp3ofuKO0GG29O4M1bGoS2dere1256HLwDfFbH4DaS8lZPb5LIoWn7Rc94/UjV14QJsmF1rumBzP0yI/41gcGGEfE6WZhN3OqSXHoLYImPb6GyiUJwtvthNR+c+mB6v74jOvsA9asdhRdaYG4EQdx5+Jkrl+0N9TxrpBY5plhr0WD/i0sH8Fa54M4zNi9O9xuQ6eZ501PFPNz/TcCt5LnvZLHDh1QahsQldxT4w1zi0AuLTmuAb2ykW03qTxzbKtqWBznup4HnK34vG+GNx32Ep5TnWB0DtddFWtntoLbDrNzXAueXEwB4ACScvmup9JnRtim02OU6lFzKdFtNrA5zuO88kNaMyRI5DxV04VdoRC2OkYRnLm1EuY6ZYXiRkVgb5pJGMHU0Hp08OCZl5p5S0B74WzzPFyS+qmfKxlzzCKJj/8AfnpWuMDw51XIYY4nTTyXytGjG3+VLM++jW9e8kXv8l29Nk8FFDTtizcZKbOmlP8A5j8jWadDGtY1rR0MHPdSGC1bjFcQ+2PEMbpyHIDx4+vMKubd2eG7H7N9iUX79ep946F0kEuIkw2BugHUgETDiqnw11xjhpYRqJjUEtP5jY2h3WRxpt9pfPAbDanrJOd08cf6Eeb+1Ufw5yXmoWc7Yp3ep74x/ZFTfAm21BNoRerkNzuP5KIaa9S90XdZtI6f6Rl+Qf3WG8pC06LKe6INR4nx/wDM4j9mj9lekRF0Bfm9EREREREREREREREREREREREREREREREREREREREREXKXjI4j5pRdhWd7TxkcR80ouwrO9qI7btuZ9FZfZO/5D1XVqLlLxkcR80ouwrO9p4yOI+aUXYVne07btuZ9E9k7/kPVdWouUvGRxHzSi7Cs72njI4j5pRdhWd7Ttu25n0T2Tv8AkPVdWouUvGRxHzSi7Cs72njI4j5pRdhWd7Ttu25n0T2Tv+Q9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/5D1XVqLlLxkcR80ouwrO9p4yOI+aUXYVne07btuZ9E9k7/kPVdWouUvGRxHzSi7Cs72njI4j5pRdhWd7Ttu25n0T2Tv8AkPVdWouUvGRxHzSi7Cs72njI4j5pRdhWd7Ttu25n0T2Tv+Q9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/5D1XVq+J487HMvbM1zbjeLgi469Vyr4yOI+aUXYVne08ZHEfNKLsKzva+HGrUiDPovTdlcQaQ4ASPFdD0eyLYsRZXiUuyxzji3NBcZJp5ZS8vvuDZ3MAtuDdVZguUvGRxHzSi7Cs72njI4j5pRdhWd7WtbX9jbgikCJMnLipPFMNxrE3sqXbg8saGCSPugkgZDxPithYVszM+tnEsbo3ZGucS0/KrJGQObqLOsyomuRuyLdYHRu5lyl4yOI+a0XYVne08ZHEfNKLsKzva0MIdZYcHBjid4zmPNWLbS8xjaZ9J1emxnVt3QGuy0aDw5gmM4mFvLhhw+N9PBUSF7TDI9meNhka1r4nPPGDc1pfDG3MbWLwvbggwl1PQmZ5/ytzZmM+iwNswk85cDm9Bb1rQ/jI4j5pRdhWd7TxkcR81ouwrO9r411kMQN7JmIiOMRJM55ZaL0+9xg7ODAd0bm/vFxeD3ZLg0CMu8ZJ3jMZAZz1Di+HMqonRSNzBzZGg2GZhfE+EuYTudkkeL/nFeWBYLFRRiOCIM5LQ94A4yUtFg6R297tXejMbWXMfjI4j5pRdhWd7TxkcR80ouwrO9qTOJWJqdaR3oiYzhVUYNjItTaB//iJ3izf7pPONP8nVdWrVk+wc02KyyljI6Q1fHlznA8ZGZTIWsa2/LdYgg2tmv6dS+MjiPmlF2FZ3tPGRxHzSi7Cs72tLEq1hf7gq73dM5D5+CnNl6mO7PGu6yDJqs3CSZgTMjMCRwmfJdTUdMImua25zSSykuNzmlldK7m3ZnkDqAX7XQCWJ8ZY2Rr2lpZKLxuB0IeLG7Vyx4yOI+aUXYVne08ZHEfNKLsKzvakO17Tc3M4iNFXPZzE+t64wXTvTvZzMytmN2BrGFxhDGtmbNG9shjzRMMhaG8sOsXMDSHsOYBxFxzyuFcGb5C11bVl+UWEULnPIF75eNlHJbpua30Fae8ZHEfNKLsKzvaeMjiPmlF2FZ3tVujhmDsdJ3neB09BH9l1G9282xuKZYw0qZP8AU1o34/5GYgZSAHeMrp/BsIio4+KghETNC7LcuebWu9xu57uskrOXKXjI4j5pRdhWd7TxkcR80ouwrO9qyU8Ws6bQxmQHABcuudncUuarq1d2+92Zc50knxJzW5uGjD47Q1T3PY8Mkiu1pfGcoL42v5oyZH2zXGhO+wVg4MsIdR4exsh5czjUFnkw9jA1nW7K0E9BcRzLnnxkcR81ouwrO9p4yOI+aUXYVne1E0XWVO/feyZIiI9Sc85jkrjeXuMXGz1HAi0bjHbxcXgyASWtAgbobJ4mctBkerUXKXjI4j5pRdhWd7TxkcR80ouwrO9qa7btuZ9FRvZO/wCQ9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/5D1XVqLlLxkcR80ouwrO9p4yOI+aUXYVne07btuZ9E9k7/kPVdWouUvGRxHzSi7Cs72njI4j5pRdhWd7Ttu25n0T2Tv+Q9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/wCQ9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/5D1XVqLlLxkcR80ouwrO9p4yOI+aUXYVne07btuZ9E9k7/kPVdWouUvGRxHzSi7Cs72njI4j5pRdhWd7Ttu25n0T2Tv+Q9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/wCQ9V1ai5S8ZHEfNKLsKzvaeMjiPmlF2FZ3tO27bmfRPZO/5D1XVqLlLxkcR80ouwrO9p4yOI+aUXYVne07btuZ9E9k7/kPVaXREVMXU0RERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERF//2Q==" width="308px" alt="systems life cycle phases"/></p>
<p>On a sensible stage, SDLC is a basic methodology that covers totally different step-by-step processes needed to create a high-quality software product. The systems development life cycle originally consisted of five levels as an alternative of seven. This consists of all the specifications for software, hardware, and community necessities for the system they plan to construct. This will forestall them from overdrawing funding or resources when working at the same place as other development groups. The SDLC framework exists to assist companies reduce time to market, deliver better performance, get monetary savings, and increase the potential value of their product. The SDLC is especially helpful in software program development as a end result of it forces growth teams to work inside strict limits.</p>
<p>Having covered the main SDLC methodologies provided by software improvement corporations, let’s now review whether they&#8217;re actually worth employing. The testing stage ensures the application’s features work accurately and coherently and fulfill consumer aims and expectations. Once the planning is finished, it’s time to switch to the analysis and evaluation stage. It acts as the inspiration of the entire SDLC scheme and paves the best way for the profitable execution of upcoming steps and, in the end, a successful project launch. Each of them requires totally different specialists and diverse skills for profitable project completion.</p>
<p>It’s potential for testing to be repeated, specifically to check for bugs, interoperability, and errors. Many of these models are shared with the event of software, similar to waterfall or agile. Numerous model frameworks may be tailored to fit into the event of software program.</p>
]]></content:encoded>
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		<title>Intro To Digital Threads: A Model New Approach To Java Concurrency</title>
		<link>https://www.compagniasenzateatro.it/intro-to-digital-threads-a-model-new-approach-to/</link>
		<comments>https://www.compagniasenzateatro.it/intro-to-digital-threads-a-model-new-approach-to/#comments</comments>
		<pubDate>Wed, 18 Jan 2023 23:02:20 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

		<guid isPermaLink="false">http://www.compagniasenzateatro.it/?p=1936</guid>
		<description><![CDATA[Things are completely different, nonetheless, with datagram sockets (using the UDP protocol). And that is what Project Loom makes use of under the hood to provide a virtual-thread-friendly implementation of sockets. The non-blocking I/O details are hidden, and we get a familiar, synchronous API. A full example of using a java.web.Socket instantly would take plenty of area, but should you&#8217;re curious here is an instance... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/intro-to-digital-threads-a-model-new-approach-to/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>Things are completely different, nonetheless, with datagram sockets (using the UDP protocol). And that is what Project Loom makes use of under the hood to provide a virtual-thread-friendly implementation of sockets. The non-blocking I/O details are hidden, and we get a familiar, synchronous API. A full example of using a java.web.Socket instantly would take plenty of area, but should you&#8217;re curious here is an instance which runs a number of requests concurrently, calling a server which responds after three seconds. One important factor is that for a system to make steady progress (when a bigger number of virtual threads are used), the carrier threads have to become free incessantly in order that virtual  threads might be scheduled onto them. Hence, the biggest positive aspects must be seen in I/O-heavy methods, whereas CPU-heavy purposes will not see a lot improvement from using Loom.</p>
<p>Nevertheless, you should check purposes intensively whenever you flip the switch to digital threads. Make certain that you don&#8217;t, for  example, execute CPU-intensive computing tasks on them, that they are not pooled by the framework, and that no ThreadLocals are saved in them (see also Scoped Value). Thread dumps presently don&#8217;t comprise data about locks held by or blocking virtual threads. Accordingly, they do not present deadlocks between digital threads or between a digital thread and a platform thread.</p>
<p>Instead, we preferred to make use of a thread pool or an executor service configured with a thread pool. In fact, those threads had been what we now call platform threads, and the rationale was that creating such threads was fairly expensive operation. Even although quickly additionally synchronized blocks will most likely unmount a virtual thread from its provider thread, it is better to migrate these blocks to the Lock API, utilizing java.util.concurrent.locks.ReentrantLock. Such locks don’t pin the digital thread, making the cooperative scheduling work again. The downside with platform threads is that they are costly from lots of points of view. Whenever a platform thread is made, the OS must allocate a large amount of reminiscence (megabytes) within the stack to retailer the thread context, native, and Java name stacks.</p>
<p>If a virtual thread&#8217;s stack reaches half the area dimension, which could possibly be as small as 512KB, then a StackOverflowError might be thrown. A clear presentation of the state of a working program is also important for troubleshooting, upkeep, and optimization, and the JDK has lengthy supplied mechanisms to debug, profile, and monitor threads. Such tools should do the same for digital threads — maybe with some accommodation to their large quantity — since they&#8217;re, in any case, situations of java.lang.Thread. Virtual threads help to enhance the throughput of typical server applications precisely as a result of such functions encompass a giant quantity of concurrent tasks that spend a lot of their time waiting.</p>
<ul>
<li>Change such code to make use of alternative caching strategies in order that expensive assets could be shared effectively among a very massive variety of virtual threads.</li>
<li>Virtual threads provide some vital advantages that async/await does not.</li>
<li>To reap the advantages of virtual threads, it is not essential to rewrite your program.</li>
<li>The expertise on the command-line is astounding, because the vThread model completes almost instantly.</li>
</ul>
<p>Unfortunately the JDK&#8217;s traditional thread dump, obtained with jstack or jcmd, presents a flat list of threads. This is appropriate for dozens or hundreds of platform threads, however is unsuitable for 1000&#8217;s or hundreds of thousands of virtual threads. Accordingly, we will not extend traditional thread dumps to incorporate virtual threads; we will, rather, introduce a brand new type of thread dump in jcmd to current virtual threads alongside platform threads, all grouped in a significant method. Richer relationships among threads can be proven when programs use structured concurrency. Things would be not a lot better if the program, as a substitute, used an ExecutorService that obtains platform threads from a pool, corresponding to Executors.newFixedThreadPool(200).</p>
<h2>Scheduling Threads</h2>
<p>There is not any need to replace synchronized blocks and methods which are used occasionally (e.g., solely carried out at startup) or that guard in-memory operations. As talked about, the brand new VirtualThread class represents a virtual thread. Why go to this bother <a href="https://www.globalcloudteam.com/javas-project-loom-and-virtual-threads/">java loom</a>, instead of just adopting one thing like ReactiveX at the language level? The answer is each to make it easier for builders to grasp, and to make it easier to maneuver the universe of current code.</p>
<div style='text-align:center'><iframe width='564' height='313' src='https://www.youtube.com/embed/axNA-gr3hDg' frameborder='0' alt='project loom virtual threads' allowfullscreen></iframe></div>
<p>On the opposite hand, I would argue that even if I/O is non-blocking, such as within the case of sockets, it&#8217;s nonetheless not free. It could be cheaper to use than blocking I/O, but in our code, we should always correctly gate usage of all kinds of I/O. The particular limits on how much concurrency we allow for every type of operation could be totally different, but they still must be there.</p>
<h2>Mastering Virtual Threads: A Complete Tutorial</h2>
<p>This can be fairly a boon to Java developers, making simple concurrent tasks easier to precise. To provide you with a way of how bold the changes in Loom are, current Java threading, even with hefty servers, is counted in the thousands of threads (at most). The implications of this for Java server scalability are breathtaking, as commonplace request processing is married to string count. And sure, it’s this kind of I/O work the place Project Loom will potentially shine.</p>
<p>The character-oriented reader/writers are additionally not specified to be thread-safe, however they do expose a lock object for sub-classes. The system property jdk.traceVirtualThreadLocals can be utilized to trigger a stack hint when a virtual thread units the worth of any thread-local variable. This diagnostic output may help with removing thread locals when migrating code to use virtual threads. Set the system property to true to set off stack traces; the default worth is false. The scheduler doesn&#8217;t compensate for pinning by increasing its parallelism. Instead, avoid frequent and long-lived pinning by revising synchronized blocks or methods that run regularly and guard potentially lengthy I/O operations to make use of java.util.concurrent.locks.ReentrantLock as a substitute.</p>
<h2>Pinning</h2>
<p>Typically, a virtual thread will unmount when it blocks on I/O or some other blocking operation within the JDK, similar to BlockingQueue.take(). When the blocking operation is in a position to full (e.g., bytes have been received on a socket), it submits the virtual thread again to the scheduler, which will mount the digital thread on a provider to renew execution. In summary, virtual threads preserve the reliable thread-per-request type that is harmonious with the design of the Java Platform whereas utilizing the out there hardware optimally. Using virtual threads does not require studying new concepts, though it could require unlearning habits developed to cope with at present&#8217;s high value of threads. Virtual threads is not going to solely assist utility developers — they may even help framework designers provide easy-to-use APIs that are suitable with the platform&#8217;s design without compromising on scalability. Unfortunately, the number of out there threads is restricted because the JDK implements threads as wrappers round working system (OS) threads.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/03/3e6a3ca4-6eaf-4aa6-9614-3085ee0f6179.jpg" width="307px" alt="project loom virtual threads"/></p>
<p>Note that after using the virtual threads, our utility may be able to deal with millions of threads, however other systems or platforms handle only some requests at a time. For example, we are able to have only a few database connections or network connections to different servers. It is price mentioning that we can create a really excessive number of digital threads (millions) in an utility without depending on the number of platform threads. These virtual threads are managed by JVM, so they don&#8217;t add additional context-switching overhead as nicely because they are saved in RAM as normal Java objects. Similar to conventional threads, a virtual thread is also an occasion of java.lang.Thread that runs its code on an underlying OS thread, but it does not block the OS thread for the code’s complete lifetime. Keeping the OS threads free implies that many digital threads can run their Java code on the identical OS thread, successfully sharing it.</p>
<p>Things could be very completely different if this program used an ExecutorService that creates a new platform thread for each task, similar to Executors.newCachedThreadPool(). The ExecutorService would try to create 10,000 platform threads, and thus 10,000 OS threads, and the program might crash, depending on the machine and operating system. Server applications typically deal with concurrent user requests that are unbiased of each other, so it makes sense for an utility to deal with a request by dedicating a thread to that request for its complete length. This thread-per-request fashion is simple to understand, straightforward to program, and easy to debug and profile because it uses the platform&#8217;s unit of concurrency to symbolize the application&#8217;s unit of concurrency. Hosted by OpenJDK, the Loom project addresses limitations in the traditional Java concurrency model. In specific, it provides a lighter various to threads, together with new language constructs for managing them.</p>
<p>An order-of-magnitude increase to Java performance in typical net utility use instances might alter the landscape for years to come. At a high stage, a continuation is a representation in code of the execution flow in a program. In other words, a continuation permits the developer to manipulate the execution move by calling functions. The Loom documentation presents the example in Listing 3, which offers a great mental picture of how continuations work.</p>
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style="><a href="https://www.vd-d.com/">犀利士</a><br />
</span>zQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7Hemx8c0d6bHxzQBcQ3sXUd7PaK909Yqst0MtXJ6I27v5r6DZrLZKiOo2hcVatSrco4270iRfMn0+kAyaQ7tuMeZ876TPV9B6qzP/9k=&#8221; width=&#8221;308px&#8221; alt=&#8221;project loom virtual threads&#8221;/></p>
<p>A new provider thread may be began, which can be ready to run digital threads. Servlet asynchronous I/O is often used to entry some external service where there&#8217;s an appreciable delay on the response. The Servlet used with the digital thread based mostly executor accessed the service in a blocking fashion while the Servlet used with standard thread pool accessed the service using the Servlet asynchronous API.</p>
<h2>2 Avoid Using Thread-local Variables</h2>
<p>It’s not an error but a habits that limits the application’s scalability. Note that if a service thread is pinned, the JVM can always add a brand new platform thread to the provider pool if the configurations of the carrier pool permit it. The first time the digital thread blocks on a blocking operation, the carrier thread is released, and the stack chunk of the digital thread is copied again to the heap. This means, the provider thread can execute some other eligible virtual threads. Once the blocked virtual thread finishes the blocking operation, the scheduler schedules it once more for execution.</p>
<p>Traditionally, Java has treated the platform threads as thin wrappers round working system (OS) threads. Creating such platform threads has always been costly (due to a large stack and other resources which are maintained by the operating system), so Java has been using the thread swimming pools to avoid the overhead in thread creation. While digital threads are the main course of Project Loom, there are several different Loom sub-projects that additional enhance digital threads. One is a simple framework for structured concurrency, which offers a robust means to coordinate and manage cooperating teams of digital threads. The different is extent native variables, which are just like thread locals, but extra appropriate (and performant) to be used in digital threads. Initially, service threads for virtual threads are threads in a ForkJoinPool that operates in FIFO mode.</p>
<p>The program spawns 50 thousand iterations of whichever thread type you select. Then, it does some simple arithmetic with random numbers and tracks how lengthy the execution takes. One of probably the most far-reaching Java 19 updates was the introduction of digital threads.</p>
<p>Assumptions leading to the asynchronous Servlet API are subject to be invalidated with the introduction of Virtual Threads. The async Servlet API was introduced to launch server threads so the server could continue serving requests while a employee thread continues engaged on the request. Loom does push the JVM forward significantly, and delivers on its performance goals, along with a simplified programming mannequin; but we will not blindly trust it to take away all sources of kernel thread blocking from our functions. Potentially, this may lead to a brand new supply of performance-related problems in our purposes, whereas solving different ones. The new thread dump format does not include object addresses, locks, JNI statistics, heap statistics, and other data that appears in traditional thread dumps. Moreover, because it would need to listing a great many threads, producing a new thread dump doesn&#8217;t pause the applying.</p>
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		<title>Kinds Of Enterprise Software Program: Issues To Know</title>
		<link>https://www.compagniasenzateatro.it/kinds-of-enterprise-software-program-issues-to/</link>
		<comments>https://www.compagniasenzateatro.it/kinds-of-enterprise-software-program-issues-to/#comments</comments>
		<pubDate>Thu, 01 Dec 2022 21:19:11 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

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		<description><![CDATA[Once all the necessities have been identified, developers can start designing and building the application. With the arrival of enterprise application development, businesses can now develop custom apps that cater to their precise wants. The SCM software program streamlines your complete provide chain, ensures a easy flow of products from provider to buyer, and makes these processes adjustable to market shifts. The CRM system is... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/kinds-of-enterprise-software-program-issues-to/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>Once all the necessities have been identified, developers can start designing and building the application. With the arrival of enterprise application development, businesses can now develop custom apps that cater to their precise wants. The SCM software program streamlines your complete provide chain, ensures a easy flow of products from provider to buyer, and makes these processes adjustable to market shifts. The CRM system is designed to gather buyer information and forecast sales and market opportunities. It tracks all communications with shoppers, assists with lead management, can enhance customer support and increase sales.</p>
<p>Businesses ought to cater to these necessities via a single- multifunctional application. Online conferences and events corresponding to webinars have turn into a vital factor of everyday enterprise life in latest years- particularly after COVID-19 when digital communication was highly enhanced. Effective remote communication is critical for these sorts of occasions and also you want the right software which can deal with large numbers of members with ease. Extensive options are wanted to provide participants with the best possible expertise during on-line events, which are on no account inferior to classic offline ones. A international chief in online payments, Stripe has disrupted the trade and its technology grew to become a benchmark in clean funds, fraud detection, subscription management, etc. It’s fairly easy to make use of and provides recurring funds that some firms may discover helpful.</p>
<p>They will be capable of merge different Web functions and get them to work conjointly. Enterprises at each stage are making a relentless transfer towards growing software that will streamline and increase their business. It startled as a buzzword but now has settled among companies on how enterprise software program can profit their enterprise in the long run and what are a few of the main examples of enterprise software. Brainstorming, innovation, and generating ideas often connects folks across the business. One of the preferred software program is IdeaScale with a score of 4.6 both on Capterra and G2Crowd. The provide chain is the whole production move that consists of a number of actions carried out by a company to convert uncooked supplies into completed services.</p>
<div style='text-align:center'><iframe width='567' height='317' src='https://www.youtube.com/embed/nuHHTnIIhvs' frameborder='0' alt='types of enterprise software applications' allowfullscreen></iframe></div>
<p>Therefore, it isn&#8217;t always beneficial for very large firms with distinctive necessities, but is a very good enterprise software for small companies. The very good rankings on Capterra (4.6 stars) and G2Crowd (4.four stars) reinforce this suggestion. Slack is utilized by enterprises throughout the globe and it gained a stable score of four.7 stars on Capterra and a strong four.5 in G2Crowd. This enterprise software program options communication collaboration, integration with numerous external tools and recordsdata while organizing messages into direct and clear channels.</p>
<h2>Greatest Kinds Of Enterprise Functions For Every Group</h2>
<p>It is predicated on PHP and MySQL and is comparatively straightforward to implement and handle. There are 1000&#8217;s of free and paid plugins available that can be used to customise the CMS in elements corresponding to design, data collection, interplay <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a>, and heaps of extra. Although WordPress is a whole software that facilitates web site creation for many companies, compared to much more expensive business CMS solutions, it has some limitations.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/04/0013e694-54e1-4d2d-9a3d-1171b6071710-768x461.jpg" width="307px" alt="types of enterprise software applications"/></p>
<p>The core ERP modules include CRM (Customer relationships management), SCM (Supply chain management), finance and accounting, human resources management (HRM), manufacturing, finance and accounting, and enterprise intelligence (BI). We have described the CRM and SCM modules above and are going to take a better take a glance at the remaining ones. In software systems and know-how preferences, it’s important for companies to choose the right software program depending on the necessities of the niche they are working in, such as user satisfaction and business success. Systemic change procedures are really onerous for companies, and customers will resist changing their previous habits and the software they are conversant in. This worker resistance ought to be met calmly by understanding, and the benefits that they are going to be getting ought to be explained clearly to all of the users of the software program.</p>
<h2>5 Provide Chain Administration System (scm)</h2>
<p>We just lately hosted a webinar with John Bratincevic, Senior Analyst at Forrester Research, about when you must build and when you can purchase enterprise software program. This session explores how the “build” approach has been gaining momentum as expertise evolves, and new modern growth approaches seem. For the total dialog, check out the webinar; for the abridged model, read <a href="https://www.globalcloudteam.com/types-of-enterprise-systems-and-their-applications/">types of enterprise software applications</a> the weblog submit. It provides automation, monitoring, and quotes analysis, together with invoice administration, contracts, and billing. The software program is in a position to adapt to your company’s procedures, appropriate and flexible on your real-life procedures. Software that makes the current procedures troublesome to manage is not going to be suitable for you.</p>
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" width="302px" alt="types of enterprise software applications"/></p>
<p>Facilitates higher customer support and enhances the effectiveness of marketing efforts by way of the centralized storage and use of customer information and history. Since they simply scan the entire database, stories and questions and might prolong the value of processing. But with custom software, developers use third-party instruments for questioning and reporting. This platform helps the gross sales managers and marketers to reach out to folks, improve their leads, and monitor the results of different campaigns.</p>
<p>As you saw within the previous part, ES can enhance the overall functioning of a company from workers to products and clients. That said, there&#8217;s a broad range of categories and enterprise areas by which these type of software program show to be extremely priceless and we are going to take a quick look into each of them. Thanks to it, companies can launch efficient campaigns, improve their content material and provide multichannel support to their shoppers. Instead of letting processes run with out evaluate, business process administration analyses and screens present processes to spot areas in which enterprise course of enchancment may be utilized. Business Process Management (BPM) takes place systematically and is geared in the course of achieving organizational targets. HRM extensively is determined by document-driven handbook processes that might be time-consuming and repetitive.</p>
<h2>Why Is Enterprise Software Important?</h2>
<p>Enterprise utility software program has the ability to deal with huge quantities of data with a high precision stage. Sage is amongst the leading providers within the trade with a Capterra ranking of 4.1 stars and 4.3 on G2Crowd. Planning the team’s work visually, utilizing dashboards and charts to consolidate all the elements of the project and simply reviewing results makes Monday one of many massive players within the business. Integration with other tools similar to Slack, Zendesk, Mailchimp, Hubspot and more than 50 different instruments enables enterprises to bring varied knowledge in a single, central hub. Businesses implement Enterprise Resource Planning (ERP) to combine procurement, finance, accounting, advertising, and human sources processes.</p>
<ul>
<li>There are tons of various varieties of enterprise software program that might be of use to you.</li>
<li>For any company with a hard structure, even if it is an academic establishment, an enormous corporation, or a authorities company, a proper software is always wanted.</li>
<li>This includes personal particulars, purchasing history, refunds and grievances, and customer support.</li>
<li>Supply chain management software program helps organizations keep a sturdy circulate of goods and services for fixed production and delivery.</li>
</ul>
<p>Additionally, enterprise apps like CRM software program specialize in handling prospects. An enterprise software utility boosts worker productiveness by automating routine, mundane duties. Some ERP options, like project administration software, permit workers to collaborate more productively on numerous tasks. Additionally, tools and technologies like data analytics software program, ML, and AI that ERP software program utilizes help acquire extra priceless insights. Those insights are helpful for bettering the productivity of the whole organization. This just isn&#8217;t solely essential for small companies but enterprises are even more pressured to amass the absolute best information administration processes and instruments to make sure stable growth.</p>
<p>Usually, it engages several organizations of small, medium or giant size that work on orders and deliver the product or service to the tip shopper. SaM Solutions provide efficient automation and seamless security in your enterprise software. HubSpot helps entrepreneurs and gross sales managers attain out to contacts, nurture leads and monitor the results of campaigns. The work of each units is aligned since all information (for sales and marketing teams) is stored in a single place. Automating enterprise course of management can rework your group in probably the most constructive ways by gaining transparency and achieving digital transformation.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2023/03/full-stack-web-development-why-does-it-matter-for-your-business-.webp" width="303px" alt="types of enterprise software applications"/></p>
<p>The software firms that make these merchandise embrace lots of the world’s best-known brands, similar to IBM and Microsoft. An Enterprise Applications is a platform of software  program systems which has been designed to work in enterprise environments. Enterprise software, enterprise software program, and enterprise utility software program, are all the identical phrases used for a software utilized by business to help a company in fixing the problems of a business.</p>
<p>You can outline the required modules and integrate them into the present system, which will strengthen and improve the already working system and decrease disruptions attributable to introducing new software program into the processes. BI provides predictive analytics in a format of various graphs, charts, and tables to optimize work performance and give executives actionable insights to assist make higher organization’s decisions. The system collects and analyzes information from various sources, like advertising, sales, manufacturing, HR, and so forth., using information mining, benchmarking, and advanced statistical algorithms. In some instances, their use with out modification doesn&#8217;t solve all of the tasks of the organization or is simply too costly at a distance because of the subscription model. Helps construct extremely customized advertising campaigns, automate communications through social media, e-mail, and advertisements based on customer segmentation features. Every kind of enterprise software has their very own goals and has their own features and functionalities.</p>
<p>Payroll administration is arguably one of the essential tasks for the HR department. During the payroll course of, companies want to make sure compliance with tax laws and other monetary rules, a task that becomes extra sophisticated because the number of employees grows. With that in thoughts, enterprise payroll software helps in managing and automating the payroll course of while making certain compliance across the board, leaving HR employees extra time to focus on different necessary tasks.</p>
<p>As none of the tools that already exist was suitable for his or her business procedures, they received a customized system to fulfill the necessities of their enterprise. Operational CRM contacts the client, shops all of the required data on them, and helps corporations during the entire customer lifecycle. Due to that, companies can now launch great campaigns, improve their content material, and give multichannel support to their clients. Classic is an skilled software program engineer with a robust background in web and mobile development, particularly in Javascript. He is extremely expert in this area and enjoys sharing his data and expertise with others. Classic is keen about software development and is at all times looking for methods to improve his skills and stay up-to-date with the most recent technologies and best practices.</p>
<p>Here we&#8217;ll concentrate on Moz as an entire inbound advertising answer that received a Capterra score of four.5 stars and 4.4 in G2Crowd. Rippling is a payroll device that helps organizations efficiently handle their payroll processes by way of powerful automation features. It is affordable and may be integrated with some other software you would possibly want during the payroll course of &#8211; which they declare will only take ninety seconds to complete.</p>
<p>Main product capabilities embrace financial and production administration, supply chain, etc. Enterprise systems are built on software program platforms, such as SAP&#8217;s NetWeaver and Oracle&#8217;s Fusion, and databases. With third-party integrations it&#8217;s potential to make payment transactions safer, faster, and easier.</p>
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		<title>Ai Implementation: Your 4-step Ai Motion Plan</title>
		<link>https://www.compagniasenzateatro.it/ai-implementation-your-4-step-ai-motion-plan/</link>
		<comments>https://www.compagniasenzateatro.it/ai-implementation-your-4-step-ai-motion-plan/#comments</comments>
		<pubDate>Thu, 03 Mar 2022 19:06:42 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

		<guid isPermaLink="false">http://www.compagniasenzateatro.it/?p=2042</guid>
		<description><![CDATA[You should construct mechanisms that verify that your AI techniques adhere to all relevant regulations—it’s a necessity. Proper governance ensures that your AI implementation is moral, authorized, and trustworthy, mitigating potential reputational and legal risks. The real problem lies not in the base infrastructure but in integrating applications, particularly when legacy systems are involved. These legacy systems’ complicated integration and scalability points pose significant hurdles.... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/ai-implementation-your-4-step-ai-motion-plan/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>You should construct mechanisms that verify that your AI techniques adhere to all relevant regulations—it’s a necessity. Proper governance ensures that your AI implementation is moral, authorized, and trustworthy, mitigating potential reputational and legal risks. The real problem lies not in the base infrastructure but in integrating applications, particularly when legacy systems are involved. These legacy systems’ complicated integration and scalability points pose significant hurdles.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2023/03/full-stack-web-development-why-does-it-matter-for-your-business-img-2-768x512.webp" width="302px" alt="ai implementation"/></p>
<p>By making a blueprint in your company-wide AI adoption strategy early on, you’ll also avoid the destiny of 75% of AI pioneers who might go out of business by 2025, not understanding the way to implement AI at scale. AI engineers may train algorithms to detect cats in Instagram posts by feeding them annotated pictures <a href="https://www.globalcloudteam.com/ai-implementation-in-business-is-it-necessary-to-do/">ai implementation in business</a> of our feline associates. Deloitte additionally found that firms seeing tangible and quick returns on artificial intelligence investments set the best foundation for AI initiatives from day one.</p>
<h2>Be Taught Mind Circuits</h2>
<p>The relentless development of technology has pushed Artificial Intelligence (AI) from the realm of science fiction into the boardrooms of world firms. However, navigating this new world of opportunities may be difficult for enterprise leaders who are not steeped on the planet of bits and bytes. This guide will assist these attempting to know how to implement AI strategically in their organizations. &#8220;The tougher challenges are the human ones, which has always been the case with expertise,&#8221; Wand stated. It&#8217;s important to narrow a broad alternative to a&nbsp;sensible AI deployment&nbsp;&#8212; for instance, invoice matching, IoT-based facial recognition, predictive maintenance on legacy methods, or customer buying habits. &#8220;Be experimental,&#8221; Carey said, &#8220;and embrace as many individuals [in the process] as you possibly can.&#8221;</p>
<ul>
<li>From automating administrative tasks and personalizing learning experiences to performing complicated efficiency analyses, there is almost no limit to what Artificial Intelligence can obtain.</li>
<li>People responsible for AI implementation in your organization should have totally different features and be capable of effectively managing the processes they’re answerable for.</li>
<li>Removing human preconceptions from the information and applying techniques similar to regularization can improve these points.</li>
<li>That’s why we’ve created a useful action plan for integrating AI into the guts of your corporation.</li>
<li>Prioritize moral considerations to ensure equity, transparency, and unbiased AI methods.</li>
</ul>
<p>In half 2 of this sequence, I described the way to plan a product technique and an AI technique that supports it. In the strategy stage, we used discovery as a preliminary step to determine prospects, issues, and potential solutions with out worrying about AI tech requirements. However, discovery is more than a one-time research push at the start of a project; it is an ongoing mandate to seek and evaluate new proof to ensure that the product is moving in a useful and profitable course. We supply AI consulting companies <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> and options that can help you obtain your corporation goals faster, while setting you up for sustainable progress. By analyzing worker data, you possibly can implement efficiency management and improvement solutions. For example, you can recommend coaching and growth programs or counsel specific actions for improvement.</p>
<p>This real-life example shows how adopting AI options automated handbook work, enabling employees to free up time and focus on extra critical tasks. At ITRex, we reside by the rule of “start small, deploy fast, and learn from your errors.” And we suggest ‌our customers comply with the identical mantra — particularly when implementing artificial intelligence in business. All the aims for implementing your AI pilot should be particular, measurable, achievable, relevant, and time-bound (SMART). For example, your organization may wish to reduce insurance coverage claims processing time from 20 seconds to 3 seconds whereas achieving a 30% claims administration prices discount by Q1 2023. Scroll all the method down to be taught extra about every of those AI implementation steps and obtain our definitive synthetic intelligence guide for businesses. As know-how evolves, it&#8217;s essential to make sure your staff aren’t left behind.</p>
<p>Once the right use instances have been recognized, the following  step is to catalog and clean up information scattered across various techniques and codecs throughout the group. In healthcare, this could imply integrating data from different departments like radiology, pathology, and basic patient data. Once cleaned and organized, this knowledge can be consolidated into data lakes or warehouses, making it more readily accessible for AI methods. Whether it’s Messenger chatbots, algorithmic newsfeeds, picture tagging recommendations or ad targeting, AI is deeply embedded in Meta’s Facebook platform. Facebook is already using a mixture of AI and human moderation to fight spam and abuse. With breakthroughs in picture recognition and a doubling-down on AI research, Meta is relying on artificial intelligence to monitor its media platform.</p>
<h2>Attention-grabbing Book On Measurement</h2>
<p>In addition to moveable devices like telephones and tablets, Bixby may also be accessed via certain Samsung appliances such as sensible fridges. The company has launched Flippy 2, the second generation of its AI-equipped robot that helps with kitchen automation for tasks like frying food. The company additionally has its CookRight line, with methods for monitoring grilling and occasional brewing. Additionally, Miso Robotics has been developing a drink dispenser that can integrate with an establishment’s point-of-sale system to simplify and automate filling drink orders.</p>
<div style='text-align:center'><iframe width='562' height='312' src='https://www.youtube.com/embed/RYNk8nDAoXM' frameborder='0' alt='ai implementation' allowfullscreen></iframe></div>
<p>The information scientists will then place the mannequin in take a look at environments to look at its performance. It may be tempting to hurry up the method by coaching your algorithm on dummy or nonproduction knowledge, however it will waste time in the long term. The capabilities that outcome are usually inaccurate and will require extensive work later within the improvement course of. Selecting the proper AI mannequin involves assessing your information sort, problem complexity, data availability, computational assets, and the need for mannequin interpretability.</p>
<h2>Ai And Smart Assistants</h2>
<p>The organizations who undertake and refine this emerging tech at present might be poised for success tomorrow. Scalable synthetic intelligence options that ship game-changing outcomes, fast. For instance, you may implement such AI options for pre-screening candidates or making a chatbot to answer widespread questions while onboarding.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2020/01/BlockChain-Solutions-768x512.jpg" width="300px" alt="ai implementation"/></p>
<p>The general process of&nbsp;creating momentum for an AI deployment&nbsp;begins with attaining small victories, Carey reasoned. Incremental wins can build confidence across the organization and inspire extra stakeholders to pursue related AI implementation experiments from a stronger, extra established baseline. &#8220;Adjust algorithms and enterprise processes for scaled launch,&#8221; Gandhi advised. &#8220;To successfully implement AI, it&#8217;s important to study what others are doing inside and out of doors your trade to spark interest and inspire action,&#8221; Wand defined.</p>
<h2>A Case Research: Employee Time-tracking App For An Hr Consulting Firm</h2>
<p>In the AI product validation stage, you’ll use an Agile experimental format to build your AI product incrementally. That means processing knowledge and expanding the AI mannequin piecemeal, gauging buyer interest at each step. Cognitive technologies are increasingly being used to unravel business issues; indeed, many executives consider that AI will considerably rework their firms inside three years. A latest survey by Deloitte AI Institute lined the main AI PracticesOpens a new window for potentially AI-fueled organizations. Businesses must rethink their enterprise fashions to learn from AI in total volume.</p>
<p>Ensuring that the scope is each manageable and able to producing significant insights is crucial. Cloud-based AI technologies are increasingly popular as a result of their scalability, flexibility, and the decreased need for IT infrastructure. However, some companies would possibly favor on-premises options as a outcome of data safety issues or particular compliance requirements. The data scientists will cross-validate outcomes with completely different models to see whether or not they selected the most effective one. The profitable model’s algorithm will produce a operate that nearly all closely represents the info in the coaching set.</p>
<p>Continuing an example from the earlier article on this collection, suppose an airline has hired you as a product manager to spice up sales of underperforming routes. After researching the issue and evaluating multiple resolution hypotheses throughout strategy planning, you determine to pursue a flight-demand prediction product. Mayank is a product manager who has built products for GE, The Emirates Group, KPMG, and Kraft Heinz, and launched two startups within the IoT and AI areas. Mayank makes a speciality of Agile-based execution of sturdy go-to-market methods.</p>
<p>Spartan helps autonomous automotive firms improve their ADAS sensors with its Ago sensor software. Sensitivity is a core trait of Ago software, permitting automobiles to more quickly detect objects and sharpen their reaction instances throughout highway, city driving and parking situations. For added comfort, the company delivers over-the-air software updates to maintain its technology working at peak efficiency. Once you&#8217;ve got defined your KPIs, it&#8217;s necessary to set up a sturdy measurement system.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2022/09/how-to-build-a-successful-team-1-1.jpg" width="304px" alt="ai implementation"/></p>
<p>Fintech and peer-to-peer fee platform Cash App powers a variety of its features using artificial intelligence. Users can work together with buyer support chat bots which are developed utilizing advanced natural language processing, or NLP, methods. As for safety, the corporate makes use of machine studying and AI to assist mitigate danger and stop fraud on the platform.</p>
<h2>The Secrets Of Chatgpt’s Ai Training: A Have A Look At The High-tech Hardware Behind It</h2>
<p>And often, it takes multi-layer neural networks and months of unattended algorithm coaching to reduce information center cooling prices by 20%. To answer this question, we conducted extensive analysis, talked to the ITRex consultants, and examined the tasks from our portfolio. It’s an opportunity to place totally different AI-supported instruments to the take a look at and see how they will assist your business and whether they meet your expectations. Once you’ve integrated the AI model, you’ll have to often monitor its performance to ensure it&#8217;s working correctly and delivering anticipated outcomes. From drug improvement to finance, the potential of AI for enterprise is enormous, but efficient safeguards are wanted&#8230;.</p>
<p>Cognitive technologies are increasingly getting used to resolve enterprise problems, but many of the most ambitious AI projects encounter setbacks or fail. Experts imagine you should prioritize AI use instances based mostly on near-term visibility and monetary worth they may deliver to your company. For this, you should conduct meetings with the organization items that could profit from implementing AI. Your company’s C-suite ought to be part and the driving force of those discussions. Sometimes easier technologies like robotic course of automation (RPA) can handle tasks on par with AI algorithms, and there’s no have to overcomplicate issues.</p>
<p>Research has shown that nearly half of AI projects never go previous the prototype stage and into production. This could presumably be as a outcome of the initial idea was too bold and the instruments for its mass production are too complicated or have not yet been created. Although the speed with which know-how evolves permits us to dream bigger, it is essential to perform within our means, at least during our first steps. Start your AI project with an intensive implementation plan which will give you measurable results fairly quickly. This way, you&#8217;ll find a way to safely be taught out of your mistakes and plan your subsequent steps accordingly.</p>
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		<title>Devoted Growth Team: What&#8217;s It And When Is It Used?</title>
		<link>https://www.compagniasenzateatro.it/devoted-growth-team-what-s-it-and-when-is-it-used/</link>
		<comments>https://www.compagniasenzateatro.it/devoted-growth-team-what-s-it-and-when-is-it-used/#comments</comments>
		<pubDate>Tue, 12 Oct 2021 23:09:19 +0000</pubDate>
		<dc:creator><![CDATA[Compagnia2014]]></dc:creator>
				<category><![CDATA[Software development]]></category>

		<guid isPermaLink="false">http://www.compagniasenzateatro.it/?p=1966</guid>
		<description><![CDATA[Let’s begin with a fast definition of what the devoted staff model is. A devoted staff is normally managed from the outsourcing company’s aspect whilst you as a shopper are giving your requirements, suggestions, and feedback. When you resolve to rent a regular growth staff, it’s necessary to ensure that they are following finest practices in relation to the safety of your data. You will... <br /><br /><a class="readmore" href="https://www.compagniasenzateatro.it/devoted-growth-team-what-s-it-and-when-is-it-used/">Readm More</a>]]></description>
				<content:encoded><![CDATA[<p>Let’s begin with a fast definition of what the devoted staff model is. A devoted staff is normally managed from the outsourcing company’s aspect whilst you as a shopper are giving your requirements, suggestions, and feedback. When you resolve to rent a regular growth staff, it’s necessary to ensure that they are following finest practices in relation to the safety of your data. You will want to fastidiously vet potential companions and be assured that they have the mandatory safety measures to protect your knowledge and intellectual property.</p>
<p>A devoted development group is a partnership mannequin widely used in software program growth for distant collaboration with a shopper. Hiring devoted development team is your finest option for each well-established firms and growing startups. Clients normally feel uncertain when investing their time and money into the growth of dedicated teams. If a client prefers the dedicated staff not use their acquired data for other companies or different initiatives, Altigee can suggest a DT buyout.</p>
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" width="301px" alt="What is a dedicated development team"/></p>
<p>According to Statista, 35% of companies today are inclined to outsource IT services. At the same time, 18% of them depend on skilled assistance, and 24% — on bettering total work efficiency. If you need to get the best results, you&#8217;ll need an skilled to cooperate with hiring companies. As properly, you&#8217;ll need to spend more time observing international groups compared with in-house ones. You must know from the very beginning what you need to get in the end so that you just don’t need to undergo further difficulties along with your dedicated staff. The nuance right here is that the ultimate budget and timing of every project stage cannot be outlined upfront, which is a big downside of this mannequin.</p>
<p>In this case, a client can buy the complete group and rent them instantly or arrange a remote development heart. There are several places to discover a service provider, corresponding to a software program development firm, to help you construct a devoted team. The greatest place to begin out is to talk to household, associates and colleagues for referrals. Partnering with a dedicated improvement staff could be an excellent approach to bring your corporation to the following level.</p>
<p>Instead of hiring an in-house improvement team, you can only pay for the staff members you need. Businesses engaged on initiatives that demand specific technical expertise not available in-house can faucet into the varied skill set of a dedicated team. This is especially valuable when dealing with niche applied sciences or industry-specific requirements. Unlike the Time and Material model, where costs rise with the sources used, the Dedicated Team model offers a gentle and predictable spending sample. This stability is great for long-term projects because it ensures a dependable staff with a deep understanding of the project’s particulars.</p>
<h2>Tips On How To Write An Srs Doc, Or Software Program Requirements Specification</h2>
<p>Many companies wouldn&#8217;t have in-house growth teams—instead, businesses can turn to a software development firm and use their builders. This permits many businesses to achieve their software program objectives, without having to afford the worth of maintaining a quantity of full-time salaried positions. A devoted improvement group is a collaboration mannequin with a software growth firm when a consumer gets assigned a tailor-made group of specialists working solely on this project. A group consists of experts primarily based on the project’s scope, area, and technological stack.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/01/d994e84b-2c1d-433a-a032-03465fa99b8bsizelarge-768x360.jpg" width="304px" alt="What is a dedicated development team"/></p>
<p>The task of a tester is not only to discover any points but also to make positive that the product looks as planned and helps the user full any process within the easiest way. When you have a strict price range for a project, a devoted group mannequin isn&#8217;t the best <a href="https://www.globalcloudteam.com/dedicatedt-team/">dedicated development team</a> choice. In this case, a fixed-price model is greater than enough to realize the specified end result. Furthermore, hiring a devoted software program growth staff is way inexpensive and time-consuming than searching for each professional individually with an HR team.</p>
<p>So not only is your company gaining access to distinctive expertise, but by way of the dedicated team mannequin additionally it is generating vital financial savings in the process. With the talent and expertise shortages, and the sky-high costs, finding the proper growth staff could be a lengthy, lengthy process. If it looks like getting the best folks on board would seem to take longer than actually building the product, then you know you’ve obtained a problem. We can conclude that the average hourly charges of dedicated specialists vary based on the country they belong to. Traditionally, US and Canadian hourly charges are greater than these European and Asian specialists cost. In the table beneath, we’ve in contrast average hourly rates as if you hire a devoted development group in Poland, India, and the US.</p>
<h2>What&#8217;s The Cost Of Hiring A Dedicated Development Team?</h2>
<p>The devoted staff model supplies companies with extraordinary benefits. Finding the proper team to work on a software program project could be daunting, and typically it could really feel like you’re going through insurmountable odds of discovering the proper group for the job. Luckily, a dedicated software program improvement staff can provide the experience and focus essential to create a incredible digital product. For small projects with clearly defined necessities, you do not want a devoted and concerned team. When the work scope is clearly outlined, you&#8217;ll want a staff to complete the tasks.</p>
<p>When your budget for a project is strictly fixed, choosing a dedicated team model is not the most effective thought. Sometimes you simply don’t want a full-time designer or a project manager. In this case, a fixed-price mannequin is more than enough to ship the necessary end result. When selecting a dedicated group, all processes are beneath your control. You can determine what approaches or instruments to use, what number of group members you want, and what deadlines to set.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://globalcloudteam.com/wp-content/uploads/2021/07/d53cc025-8649-4040-b95b-8205fe94f578.jpg" width="300px" alt="What is a dedicated development team"/></p>
<p>The consumer could be involved in interviewing, which is an excellent alternative to clarify expectations on the project goals and each member’s role and duties. It’s inappropriate to match in-house and dedicated team models; you must always make a selection judging by your wants and alternatives. Each month, the client pays a set month-to-month wage to all staff members, so the entire project value is dependent upon the scale of the team and the time needed to complete it. When working long-term on a single project, staff members are deeply concerned in the growth process, and better perceive project necessities. Hence, their incentive to attain the very best result&#8217;s greater.</p>
<h2>Forms Of Distant Software Growth Groups</h2>
<p>The Dedicated Development Team model is a strategic means for a business to hire a specialised group of professionals for their project. Unlike conventional outsourcing, these staff members are chosen specifically for the project  and stick with it from start to end. This approach is great for long-term or complicated initiatives that require teamwork and flexibility. A devoted team is the best choice for technology start-ups and fast-growing firms, in addition to initiatives with many obscure necessities. For enterprises looking for long-term cooperation, that is your best option when it comes to value and professional level of employees. If the devoted staff workers has the mandatory specialists, you can start working immediately.</p>
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<p>There are plenty of expert builders, worldwide, who excel in writing quality code. And with some great benefits of living in a tech-savvy world, impeccable communication among groups is not a problem. It’s important that the company you  companion with to construct your dedicated team has a rock-solid onboarding course of. Many startup founders battle to search out the proper talent, as they’re inexperienced in hiring and what they should be in search of in a candidate. In truth, 83% of business leaders and HR managers are&nbsp;struggling to seek out the best talent&nbsp;for their teams.</p>
<p>This model resembles an in-house group, who&#8217;re technically your workers. Project-based work (a.k.a. Time &amp; Materials) is an efficient option for initiatives aiming for a span beneath one yr as there’s no commitment to remain on. For longer-term nevertheless it makes sense to lock in a dedicated <a href="https://www.globalcloudteam.com/">https://www.globalcloudteam.com/</a> team as the worth per hour on common might be wherever from 30 to 50% much less on a long run basis. The lock-up of staff members in a single project reduces the allocation risk (for the software program improvement company) and that justifies the decreased value.</p>
<p>The dedicated staff model is appropriate for complex long-term tasks, which have potential to increase. In this text, I’ll clarify what a devoted team mannequin is, its pros and cons, and how it differs from different team codecs. I’ll also share some tips about when to hire dedicated growth team, and when it’s etter to search for other options. Companies usually choose this mannequin as a result of it’s quicker and often cheaper than onboarding an in-house group.</p>
<ul>
<li>Does it contain you juggling between recruitment, payroll, and administrative tasks?</li>
<li>These are the event staff members who write, check, and keep the software code.</li>
<li>We will take a glance at this model in detail to see what is true and what&#8217;s a fable.</li>
<li>You pay for the number of hours labored since you employed a team, and each employee has a specific hourly fee.</li>
</ul>
<p>Dedicated improvement is considered to be essentially the most reliable outsourcing model. Such a group is type of a well-coordinated organism that is impressed by your goals, follows your instructions, and gained&#8217;t leave you midway if one thing goes wrong. Ensured transparency and adaptability also help keep away from numerous risks or issues throughout software improvement. With devoted development, the client can request modifications to the project at any stage, and they are going to be implemented. This is a typical scenario for long-term comprehensive solutions when it’s unimaginable to determine all the necessities and product features from the very starting. Hiring a devoted staff doesn&#8217;t need to imply the loss of high quality work or poor communication.</p>
<h2>Misalignment With The Service Supplier</h2>
<p>A QA specialist is responsible for testing the software program product to determine and report any bugs or inconsistencies. They work with the event team to create check plans, carry out testing, and provide feedback on product quality. The QA specialist ensures that the software product is reliable, safe, and meets the shopper&#8217;s requirements.</p>
<p>If the reply is sure, then you need to begin serious about supplementing your present team. A dedicated growth staff of engineers who&#8217;ve the superior tech expertise that you need to scale your small business are the right choice. Flexibility is certainly one of the important advantages of hiring a dedicated development staff. There’s no one-size-fits-all format in terms of the devoted development group structure as it can range depending on the specific project objectives. Business homeowners are optimistic about their companies, but hiring a devoted growth team might be time if yours isn’t doing nicely. You can fill any ability gaps in your current team with the experience of a devoted staff.</p>
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