#Open Source Background Check API

[authenticate01]

Empower Your Platform with Identity Verification and Background Check APIs

In today's digital age, it's more important than ever for companies to verify the identities of their customers and employees. This not only helps to prevent fraud and identity theft, but it also ensures the safety and security of everyone involved. However, manually verifying identities and conducting background checks can be time-consuming and costly for businesses. This is where Identity Authenticate comes into play.

Identity Check API is a powerful tool that allows businesses to quickly and easily verify the identity of their customers or employees. With just a few lines of code, companies can integrate this API into their platforms and streamline their identity verification processes. This API uses advanced technology and databases to verify personal information such as name, date of birth, and address, providing businesses with reliable and accurate results.

Criminal Background Check API, on the other hand, allows companies to conduct thorough background checks on their customers or employees. This API searches through millions of criminal records to ensure that the person has no criminal history, offering peace of mind to businesses and their clients. With this API, businesses can also customize the type of background check they need, whether it's a basic criminal record check or a more comprehensive search.

Moreover, these APIs are also cost-effective. With Identity Check API and Criminal Background Check API, businesses don't have to invest in expensive software or hire a team to handle identity verification and background checks. Instead, they can simply integrate the APIs into their existing systems and pay only for the verifications and checks they need. This makes it a cost-effective solution for businesses of all sizes.

For businesses looking to take advantage of these APIs, it's important to choose a reputable provider that offers a secure and reliable service. This is where Background Check API Free comes into the picture. This free API allows companies to test the functionality and performance of Identity Check API and Criminal Background Check API before committing. This way, businesses can ensure that they are getting the best service and results before investing in the APIs.

For further info, you can contact us at +1 833-283-7439 or visit our official website at:- www.authenticate.com!

[govindhtech]

What is Martech Solutions And Generative AI In Marketing

What are Martech solutions?

Martech is software that helps marketers achieve their aims. Technology helps it plan, implement, and evaluate marketing strategies. Basically, it simplifies marketing. We'll discuss martech stacks, or marketing technology. Marketing is optimised using these tools in omnichannel, multi-touchpoint situations.

Marketing is about the code that brings huge ideas to life, not simply the concepts. In the age of personalised advertising and customer experiences, developers are crucial to turning ideas into scalable, measurable solutions. Google has introduced several open-source MarTech solutions powered by generative AI to bridge engineering and marketing. Google campaigns and others can use these solutions.

Developers can easily convert video, produce and manage pictures in massive quantities, and write high-quality advertising text with these three cutting-edge technologies.

ViGenAiR

Gen AI can improve video ads for a wider audience

Video advertising on YouTube and social media are a great method to reach customers and create awareness. However, producing versions for diverse audiences and platforms is costly and time-consuming.

ViGenAiR automatically shortens long-form video ads using multimodal generative AI models on Google Cloud and gathers demographic data. Choose from Al's suggested variants or manually modify video, photo, and text elements for Demand Gen and YouTube video campaigns.

ViGenAiR offers:

Variety: Include Demand Gen text and images with more vertical and square videos.

Customisation: Target certain audiences with customised movies and stories.

Quality: Make videos that follow YouTube's ABCDs (Attention, Branding, Connection, Direction) and automatically align for square and vertical displays.

Efficiency: Quickly create new versions and reduce video production costs.

Gen AI video editing for advertising by ViGenAiR

ViGenAiR uses Gemini on Vertex AI to understand a video's storyline before separating it into audio and video. ViGenAiR integrates semantically and contextually connected video segments from spoken dialogue, visual shots, on-screen text, and background music, so it won't cut the video mid-scene or speech. These coherent A/V segments underpin user-driven recombination and gen AI.

Adios

Manage and personalise advertising with AI

Marketers must choose the right graphics for each ad group, even though maintaining hundreds or millions of photographs might slow them down.

Gemini's open-source Adios makes it easy for marketers to upload and manage image assets for thousands of ad groups. No pic? No problem. Adios uses Google Cloud's Vertex AI platform's Imagen model to produce customised, high-quality pictures for each ad group, boosting your campaign's presentation and efficacy.

Adios helps marketing departments:

Generate at scale: Use almost any gen AI API to generate millions of ad group-specific pictures with little coding.

Upload and manage photo assets in Google Ads, regardless of Adios creation.

Examine the created photos: Check the produced photos by hand before publishing to verify quality.

Try A/B tests: Test new and old image assets with Google Ads.

AI-driven content production goodbye

Adios's latest version lets you rapidly change GCP region, AI models, and other parameters without changing the code. In recent updates, gen API interactions are more stable and dependable, and failing queries are automatically retried. The Google Ads API uses version 17, and Gemini 1.5 Flash generates text-to-image prompts.

Copycat

Write brand-appropriate Google Search ads

SEO helps customers find your brand when they search for a product or service. Writing search advertising takes time, and current methods often produce generic material that lacks a business's tone and style.

Copycat analyses your greatest ads and brand standards using Gemini models in Python. The computer writes great, consistent ads with fresh keywords after learning your voice and writing style. Copycat may produce or edit responsive text and search advertising.

Save time and money by writing good ad text quickly for several campaigns.

Ads should be high-quality and reflect your brand's style.

Scalability: Use Google Ads to expand your audience without compromising brand quality.

How Copycat uses AI in commercial copywriting

Train copycats with high-quality Google ads. To ensure diversity and reduce repetition, it condenses the training advertisements into a smaller collection of “exemplar ads” using Affinity Propagation. Gemini creates a style guide from sample ads, which you may customise. Copycat prompts Gemini to write the new ad copy using your keywords, directions, and style guide. If your ads include headlines or descriptions, Copycat can fill in the blanks.

[gridlines000]

Unlocking the Future of InsurTech with Insurance APIs

In the rapidly evolving landscape of financial services, insurance companies are under increasing pressure to deliver seamless digital experiences, maintain compliance, and improve operational efficiency. One technology that’s transforming this industry from the ground up is the Insurance API.

An Insurance API (Application Programming Interface) acts as a bridge that connects insurers to digital platforms, customer data sources, verification services, and compliance tools. This integration empowers insurers to streamline their onboarding processes, reduce manual effort, and ensure faster, more secure service delivery.

One of the standout use cases of Insurance APIs is customer onboarding. Traditionally, onboarding new policyholders involved significant paperwork, manual verification, and back-and-forth communication—leading to delays and customer dissatisfaction. With an API-powered workflow, insurers can automate KYC (Know Your Customer) processes, fetch verified customer data in real-time, and drastically reduce turnaround time. This not only enhances user experience but also cuts operational costs.

Take Gridlines, for example—a platform offering a robust Insurance API that simplifies KYC, automates compliance checks, and ensures data integrity throughout the onboarding journey. Gridlines’ API infrastructure is designed for scalability, meaning insurance providers can handle large volumes of users without compromising on performance or security. Whether it's verifying identity through CKYC data, performing background checks, or enabling real-time document validation, an API-first approach equips insurers with the agility they need to thrive in a digital-first world.

Moreover, Insurance APIs play a vital role in maintaining compliance. With evolving regulatory landscapes like IRDAI’s KYC norms and data protection guidelines, staying compliant is non-negotiable. APIs offer a consistent and auditable way to enforce compliance policies, reducing the risk of human error and regulatory breaches.

Beyond onboarding and compliance, Insurance APIs open doors to advanced analytics, fraud detection, and personalized policy recommendations based on real-time data. This level of intelligence was previously difficult to achieve without extensive infrastructure and manual intervention.

As insurance providers aim to meet the demands of a tech-savvy generation, embracing Insurance APIs is no longer optional—it’s essential. The future of insurance lies in digital transformation, and APIs are the building blocks enabling this shift.

In conclusion, whether you're a legacy insurer looking to modernize or a new-age digital-first insurer, integrating an Insurance API like the one offered by Gridlines can be a game-changer. It’s time to future-proof your insurance operations—starting with your API strategy.

[jcmarchi]

The Best Open-Source Tools & Frameworks for Building WordPress Themes – Speckyboy

New Post has been published on https://thedigitalinsider.com/the-best-open-source-tools-frameworks-for-building-wordpress-themes-speckyboy/

The Best Open-Source Tools & Frameworks for Building WordPress Themes – Speckyboy

WordPress theme development has evolved. There are now two distinct paths for building your perfect theme.

So-called “classic” themes continue to thrive. They’re the same blend of CSS, HTML, JavaScript, and PHP we’ve used for years. The market is still saturated with and dominated by these old standbys.

Block themes are the new-ish kid on the scene. They aim to facilitate design in the browser without using code. Their structure is different, and they use a theme.json file to define styling.

What hasn’t changed is the desire to build full-featured themes quickly. Thankfully, tools and frameworks exist to help us in this quest – no matter which type of theme you want to develop. They provide a boost in one or more facets of the process.

Let’s look at some of the top open-source WordPress theme development tools and frameworks on the market. You’re sure to find one that fits your needs.

Block themes move design and development into the browser. Thus, it makes sense that Create Block Theme is a plugin for building custom block themes inside WordPress.

You can build a theme from scratch, create a theme based on your site’s active theme, create a child of your site’s active theme, or create a style variation. From there, you can export your theme for use elsewhere. The plugin is efficient and intuitive. Be sure to check out our tutorial for more info.

TypeRocket saves you time by including advanced features into its framework. Create post types and taxonomies without additional plugins. Add data to posts and pages using the included custom fields.

A page builder and templating system help you get the perfect look. The pro version includes Twig templating, additional custom fields, and more powerful development tools.

Gantry’s unique calling card is compatibility with multiple content management systems (CMS). Use it to build themes for WordPress, Joomla, and Grav. WordPress users will install the framework’s plugin and one of its default themes, then work with Gantry’s visual layout builder.

The tool provides fine-grained control over the look and layout of your site. It uses Twig-based templating and supports YAML configuration. There are plenty of features for developers, but you don’t need to be one to use the framework.

Unyson is a popular WordPress theme framework that has stood the test of time (10+ years). It offers a drag-and-drop page builder and extensions for adding custom features. They let you add sidebars, mega menus, breadcrumbs, sliders, and more.

There are also extensions for adding events and portfolio post types. There’s also an API for building custom theme option pages. It’s easy to see why this one continues to be a developer favorite.

You can use Redux to speed up the development of WordPress themes and custom plugins. This framework is built on the WordPress Settings API and helps you build full-featured settings panels. For theme developers, this means you can let users change fonts, colors, and other design features within WordPress (it also supports the WordPress Customizer).

Available extensions include color schemes, Google Maps integration, metaboxes, repeaters, and more. It’s another well-established choice that several commercial theme shops use.

Kirki is a plugin that helps theme developers build complex settings panels in the WordPress Customizer. It features a set of custom setting controls for items such as backgrounds, custom code, color palettes, images, hyperlinks, and typography.

The idea is to speed up the development of classic themes by making it easier to set up options. Kirki encourages developers to go the extra mile in customization.

Get a Faster Start On Your Theme Project

The idea of what a theme framework should do is changing. Perhaps that’s why we’re seeing a lot of longtime entries going away. It seems like the ones that survive are predicated on minimizing the use of custom code.

Developers are expecting more visual tools these days. Drag-and-drop is quickly replacing hacking away at a template with PHP. We see it happening with a few of the options in this article.

Writing custom code still has a place and will continue to be a viable option. But some frameworks are now catering to non-developers. That opens up a new world of possibilities for aspiring themers.

If your goal is to speed up theme development, then any of the above will do the trick. Choose the one that fits your workflow and enjoy the benefits of a framework!

WordPress Development Framework FAQs

What Are WordPress Development Frameworks?

They are a set of pre-built code structures and tools used for developing WordPress themes. They offer a foundational base to work from that will help to streamline the theme creation process.

Who Should Use WordPress Frameworks?

These frameworks are ideal for WordPress developers, both beginners and experienced, who want a simple, reliable, and efficient starting point for creating custom themes.

How Do Open-Source Frameworks Simplify WordPress Theme Creation?

They offer a structured, well-tested base, reducing the amount of code you need to write from scratch, which will lead to quicker development and fewer errors.

Are Open-Source Frameworks Suitable for Building Advanced WordPress Themes?

Yes, they are robust enough to support the development of highly advanced and feature-rich WordPress themes.

Do Open-Source Frameworks Offer Support and Community Input?

Being open-source, these frameworks often have active communities behind them. You can access community support, documentation, and collaborative input.

More Free WordPress Themes

Related Topics

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[gts6465]

Building the Perfect Dataset for AI Training: A Step-by-Step Guide

Introduction

As artificial intelligence progressively transforms various sectors, the significance of high-quality datasets in the training of AI systems is paramount. A meticulously curated dataset serves as the foundation for any AI model, impacting its precision, dependability, and overall effectiveness. This guide will outline the crucial steps necessary to create an optimal Dataset for AI Training.

Step 1: Define the Objective

Prior to initiating data collection, it is essential to explicitly outline the objective of your AI model. Consider the following questions:

What specific issue am I aiming to address?

What types of predictions or results do I anticipate?

Which metrics will be used to evaluate success?

Establishing a clear objective guarantees that the dataset is in harmony with the model’s intended purpose, thereby preventing superfluous data collection and processing.

Step 2: Identify Data Sources

To achieve your objective, it is essential to determine the most pertinent data sources. These may encompass:

Open Data Repositories: Websites such as Kaggle, the UCI Machine Learning Repository, and Data.gov provide access to free datasets.

Proprietary Data: Data that is gathered internally by your organization.

Web Scraping: The process of extracting data from websites utilizing tools such as Beautiful Soup or Scrapy.

APIs: Numerous platforms offer APIs for data retrieval, including Twitter, Google Maps, and OpenWeather.

It is crucial to verify that your data sources adhere to legal and ethical guidelines.

Step 3: Collect and Aggregate Data

Upon identifying the sources, initiate the process of data collection. This phase entails the accumulation of raw data and its consolidation into a coherent format.

Utilize tools such as Python scripts, SQL queries, or data integration platforms.

Ensure comprehensive documentation of data sources to monitor quality and adherence to compliance standards.

Step 4: Clean the Data

Raw data frequently includes noise, absent values, and discrepancies. The process of data cleaning encompasses:

Eliminating Duplicates: Remove redundant entries.

Addressing Missing Data: Employ methods such as imputation, interpolation, or removal.

Standardizing Formats: Maintain uniformity in units, date formats, and naming conventions.

Detecting Outliers: Recognize and manage anomalies through statistical techniques or visual representation.

Step 5: Annotate the Data

Data annotation is essential for supervised learning models. This process entails labeling the dataset to establish a ground truth for the training phase.

Utilize tools such as Label Studio, Amazon SageMaker Ground Truth, or dedicated annotation services.

To maintain accuracy and consistency in annotations, it is important to offer clear instructions to the annotators.

Step 6: Split the Dataset

Segment your dataset into three distinct subsets:

Training Set: Generally comprising 70-80% of the total data, this subset is utilized for training the model.

Validation Set: Constituting approximately 10-15% of the data, this subset is employed for hyperparameter tuning and to mitigate the risk of overfitting.

Test Set: The final 10-15% of the data, this subset is reserved for assessing the model’s performance on data that it has not encountered before.

Step 7: Ensure Dataset Diversity

AI models achieve optimal performance when they are trained on varied datasets that encompass a broad spectrum of scenarios. This includes:

Demographic Diversity: Ensuring representation across multiple age groups, ethnic backgrounds, and geographical areas.

Contextual Diversity: Incorporating a variety of conditions, settings, or applications.

Temporal Diversity: Utilizing data gathered from different timeframes.

Step 8: Test and Validate

Prior to the completion of the dataset, it is essential to perform a preliminary assessment to ensure its quality. This assessment should include the following checks:

Equitable distribution of classes.

Lack of bias.

Pertinence to the specific issue being addressed.

Subsequently, refine the dataset in accordance with the findings from the assessment.

Step 9: Document the Dataset

Develop thorough documentation that encompasses the following elements:

Description and objectives of the dataset.

Sources of data and methods of collection.

Steps for preprocessing and data cleaning.

Guidelines for annotation and the tools utilized.

Identified limitations and possible biases.

Step 10: Maintain and Update the Dataset

AI models necessitate regular updates to maintain their efficacy. It is essential to implement procedures for:

Regular data collection and enhancement.

Ongoing assessment of relevance and precision.

Version management to document modifications.

Conclusion

Creating an ideal dataset for AI training is a careful endeavor that requires precision, specialized knowledge, and ethical awareness. By adhering to this comprehensive guide, you can develop datasets that enable your AI models to perform at their best and produce trustworthy outcomes.

For additional information on AI training and resources, please visit Globose Technology Solutions.AI.

[fromdevcom]

Spring in Practice By By Willie Wheeler, John Wheeler, and Joshua White Among the tasks a content management system (CMS) must support are the authoring, editing and deployment of content by non-technical users. Examples include articles (news, reviews), announcements, press releases, product descriptions and course materials. In this article, based on chapter 12 of Spring in Practice, the authors build an article repository using Jackrabbit, JCR and Spring Modules JCR. Prerequisites None. Previous experience with JCR and Jackrabbit would be helpful. Key technologies JCR 2.0 (JSR 283), Jackrabbit 2.x, Spring Modules JCR Background Our first order of business is to establish a place to store our content, so let’s start with that. In subsequent recipes we’ll build on top of this early foundation. Problem Build an article repository supporting article import and retrieval. Future plans are to support more advanced capabilities such as article authoring, versioning, and workflows involving fine-grained access control. Solution While it’s often fine to use files or databases for content storage, sometimes you must support advanced content- related operations such as fine-grained access control, author-based versioning, content observation (for example, “watches”), advanced querying, and locking. A content repository builds upon a persistent store by adding direct support for such operations. We’ll use a JSR 283 content repository to store and deliver our articles. JSR 283, better known as the Java Content Repository (JCR) 2.0 specification1, defines a standard architecture and API for accessing content repositories. We’ll use the open source Apache Jackrabbit2.x JCR reference implementation at http://jackrabbit.apache.org/. Do we really need JCR just to import and retrieve articles? No. If all we need is the ability to import and deliver articles, JCR is overkill. We’re assuming for the sake of discussion, however, that you’re treating the minimal delivery capability we establish here as a basis upon which to build more advanced features. Given that assumption, it makes sense to build JCR in from the beginning as it’s not especially difficult to do. If you know that you don’t need anything advanced, you might consider using a traditional relational database backend or even a NoSQL document repository such as CouchDB or MongoDB. Either of those options is probably more straightforward than JCR. For more information on JCR, please see the Jackrabbit website above or check out the JSR 283 home page at http://jcp.org/en/jsr/detail?id=283. Java Content Repository basics The JCR specification aims to provide a standard API for accessing content repositories. According to the JSR 283 home page: A content repository is a high-level information management system that is a superset of traditional data repositories. A content repository implements content services such as: author based versioning, full textual searching, fine grained access control, content categorization and content event monitoring. It is these content services that differentiate a content repository from a Data Repository. Architecturally, so-called content applications (such as a content authoring system, a CMS, and so on) involve the three layers shown figure 1. Figure 1 JCR application architecture. Content apps make calls against the standardized JCR API, and repository vendors provide compliant implementations. The uppermost layer contains the content applications themselves. These might be CMS apps that content developers use to create and manage content, or they might be content delivery apps that content consumers use. This app layer interacts with the content repository2 (for example, Jackrabbit) through the JCR API, which offers some key benefits: The API specifies capabilities that repository vendors either must or should provide. It allows content apps to insulate themselves from implementation specifics by coding against a standard JCR API instead of a proprietary repository-specific API.

Apps can, of course, take advantage of vendor-specific features, but, to the extent that apps limit such excursions, it will be easier to avoid vendor lock-in. The content repository itself is organized as a tree of nodes. Each node can have any number of associated properties. We can represent individual articles and pages as nodes, for instance, and article and page metadata as properties. That’s a quick JCR overview, but it describes the basic idea. Let’s do a quick overview of our article repository, and after that we’ll start on the code. Article repository overview At the highest level, we can distinguish article development (for example, authoring, version control, editing, packaging) from article delivery. Our focus in this recipe is article delivery and, specifically, the ability to import an “article package” (assets plus metadata) into a runtime repository and deliver it to readers. Obviously, there has to be a way to do the development too, but here we’ll assume that the author uses his favorite text editor, version control system, and ZIP tool.4 In other words, development is outside the scope of this writing. See figure 2 for an overview of this simple article management architecture. Figure 2 An article CMS architecture with the bare essentials. Our development environment has authoring, version control and a packager. Our runtime environment supports importing article packages (e.g., article content, assets and metadata) and delivering it to end users. In this recipe, JCR is our runtime article repository. That’s our repository overview. Now it’s time for some specifics. As a first step, we’ll set up a Jackrabbit repository to serve as the foundation for our article delivery engine. Set up the Jackrabbit content repository If you’re already knowledgeable about Jackrabbit, feel free to configure it as you wish. Otherwise, Spring in Practice’s code download has a sample repository.xml Jackrabbit configuration file. (It’s in the sample_conf folder.) Just create a fresh directory somewhere on your filesystem and drop the repository.xml configuration file right in there. You shouldn’t need to change anything in the configuration if you’re just trying to get something quick and dirty to work. There isn’t anything we need to start up. Eventually we will point the app at the directory you just created. Our app, on startup, will create an embedded Jackrabbit instance against your directory. To model our articles we’re going to need a couple of domain objects: articles and pages. That’s the topic of our next discussion. Build the domain objects Our articles include metadata and pages. The listing below shows an abbreviated version of our basic article domain object covering the key parts; please see the code download for the full class. Listing 1 Article.java, a simple domain object for articles package com.springinpractice.ch12.model; import java.util.ArrayList; import java.util.Date; import java.util.List; public class Article { private String id; private String title; private String author; private Date publishDate; private String description; private String keywords; private List pages = new ArrayList(); public String getId() return id; public void setId(String id) this.id = id; public String getTitle() return title; public void setTitle(String title) this.title = title; ... other getters and setters ... There shouldn’t be anything too surprising about the article above. We don’t need any annotations for right now. It’s just a pure POJO. We’re going to need a page domain object as well. It’s even simpler as we see in the listing below Listing 2 Page.java, a page domain object package com.springinpractice.ch12.model; public class Page private String content; public String getContent() return content; public void setContent(String content) this.content = content; It would probably be a nice to add a title to our page domain object, but this is good enough for our current purpose.

Next, we want to look at the data access layer, which provides a domain-friendly API into the repository. Build the data access layer Even though we’re using Jackrabbit instead of using the Hibernate backend from other chapters, we can still use the Dao abstraction we’ve been using. Figure 3 is a class diagram for our DAO interfaces and class. Our Hibernate DAOs had an AbstractHbnDao to factor some of the code common to all Hibernate-backed DAOs. In the current case, we haven’t created the analogous AbstractJcrDao because we have only a single JCR DAO. If we had more, however, it would make sense to do the same thing. We’re going to want a couple of extra operations on our ArticleDao, as the listing below shows. Listing 3 ArticleDao.java, a data access object interface for articles package com.springinpractice.ch12.dao; import com.springinpractice.ch12.model.Article; import com.springinpractice.dao.Dao; public interface ArticleDao extends Dao void createOrUpdate(Article article); #1 Article getPage(String articleId, int pageNumber); #2 #1 Saves using a known ID #2 Gets article with page hydrated Our articles have preset IDs (as opposed to being autogenerated following a save(, so our createOrUpdate() method (#1) makes it convenient to save an article using a known article ID. The getPage() method (#2) supports displaying a single page (1-indexed). It returns an article with the page in question eagerly loaded so we can display it. The other pages have placeholder objects just to ensure that the page count is correct. The following listing provides our JCR-based implementation of the ArticleDao. Listing 4 JcrArticleDao.java, a JCR-based DAO implementation package com.springinpractice.ch12.dao.jcr; import static org.springframework.util.Assert.notNull; import java.io.IOException; import java.io.Serializable; import java.util.ArrayList; import java.util.List; import javax.inject.Inject; import javax.jcr.Node; import javax.jcr.NodeIterator; import javax.jcr.PathNotFoundException; import javax.jcr.RepositoryException; import javax.jcr.Session; import org.springframework.dao.DataIntegrityViolationException; import org.springframework.dao.DataRetrievalFailureException; import org.springframework.stereotype.Repository; import org.springframework.transaction.annotation.Transactional; import org.springmodules.jcr.JcrCallback; import org.springmodules.jcr.SessionFactory; import org.springmodules.jcr.support.JcrDaoSupport; import com.springinpractice.ch12.dao.ArticleDao; import com.springinpractice.ch12.model.Article; import com.springinpractice.ch12.model.Page; @Repository @Transactional(readOnly = true) public class JcrArticleDao extends JcrDaoSupport implements ArticleDao #1 @Inject private ArticleMapper articleMapper; #2 @Inject public void setSessionFactory(SessionFactory sessionFactory) #3 super.setSessionFactory(sessionFactory); @Transactional(readOnly = false) public void create(final Article article) #4 notNull(article); getTemplate().execute(new JcrCallback() #5 public Object doInJcr(Session session) throws IOException, RepositoryException if (exists(article.getId())) throw new DataIntegrityViolationException( “Article already exists”); #6 articleMapper.addArticleNode(article, getArticlesNode(session)); session.save(); return null; , true); ... various other DAO methods ... private String getArticlesNodeName() return “articles”; private String getArticlesPath() return “/” + getArticlesNodeName(); private String getArticlePath(String articleId) return getArticlesPath() + “/” + articleId;

private Node getArticlesNode(Session session) throws RepositoryException try return session.getNode(getArticlesPath()); catch (PathNotFoundException e) return session.getRootNode().addNode(getArticlesNodeName()); #1 Class definition #2 Map between articles and nodes #3 Creates JCR sessions #4 Writes method #5 Using JcrTemplate #6 Throws DataAccessException The JcrArticleDao class illustrates some ways in which we can use Spring to augment JCR. The first part is our high-level class definition (#1). We implement the ArticleDao interface from listing 3, and also extend JcrDaoSupport, which is part of Spring Modules JCR. JcrDaoSupport gives us access to JCR Sessions, a JcrTemplate, and a convertJcrAccessException(RepositoryException) method that converts JCR RepositoryExceptions to exceptions in the Spring DataAccessException hierarchy. We also declare the @Repository annotation to support component scanning and the @Transactional annotation to support transactions. Transactions on the DAO? It might surprise you that we’re annotating a DAO with @Transactional. After all, we usually define transactions on service beans since any given service method might make multiple DAO calls that need to happen within the scope of a single atomic transaction. However, we’re not going to have service beans—we’re going to wire our ArticleDao right into the controller itself. The reason is that our service methods would simply pass-through to ArticleDao and, in that sort of situation, there’s really no benefit to going through the ceremony of defining an explicit service layer. If we were to extend our simple app to something with real service methods (as opposed to data access methods), we’d build a transactional service layer. At #2, we inject an ArticleMapper, which is a custom class that converts back and forth between Articles and JCR Nodes. We’ll see that in listing 5 below. We override JcrDaoSupport.setSessionFactory() at (#3). We do this just to make the property injectable through the component scanning mechanism, since JcrDaoSupport doesn’t itself support that. Our create() method (#4) is one of our CRUD methods. We’ve suppressed the other ones since we’re more interested in covering Spring than the details of using JCR, but the code download has the other methods. We’ve annotated it with @Transactional(readOnly = false) to override the class-level @Transactional(readOnly = true) annotation. See the code download for the rest of the methods. We’ve chosen to implement our DAO methods using the template method pattern common throughout Spring (JpaTemplate, HibernateTemplate, JdbcTemplate, RestTemplate, and so on). In this case, we’re using the Spring Modules JCR JcrTemplate (via JcrDaoSupport.getTemplate()) and its corresponding JcrCallback interface (#5). This template is helpful because it automatically handles concerns such as opening and closing JCR sessions, managing the relationship between sessions and transactions, and translating RepositoryExceptions and IOExceptions into the Spring DataAccessException hierarchy. Finally, to maintain consistency with JcrDaoSupport’s exception translation mechanism, we throw a DataIntegrityViolationException (#6) (part of the aforementioned DataAccessException hierarchy) in the event of a duplicate article. We’ve mentioned Spring Modules JCR a few times here. Let’s talk about that briefly. A word about Spring Modules JCR Spring Modules is a now-defunct project that includes several useful Spring-style libraries for integrating with various not-quite-core APIs and codebases, including Ehcache, OScache, Lucene, and JCR (among several others). Unfortunately, some promising attempts to revive Spring Modules, either in whole or in part, appear to have stalled. It’s unclear whether Spring will ever directly support JCR, but there’s a lot of good Spring/JCR code in the Spring Modules project, and I wanted to use it for this writing.

To that end I (Willie) forked an existing Spring Modules JCR effort on GitHub to serve as a stable-ish basis for Spring in Practice’s code. I’ve made some minor enhancements (mostly around cleaning up the POM and elaborating support for namespace-based configuration) to make Spring/JCR integration easier. Note, however, that I don’t have any plans around building this fork out beyond our present needs. The reality is that integrating Spring and JCR currently requires a bit of extra effort because there isn’t an established project for doing that. In our discussion of the JcrArticleDao, we mentioned an ArticleMapper component to convert between articles and JCR nodes. The listing below presents the ArticleMapper. Listing 5 ArticleMapper.java converts between articles and JCR nodes package com.springinpractice.ch12.dao.jcr; import java.util.Calendar; import java.util.Date; import javax.jcr.Node; import javax.jcr.RepositoryException; import org.springframework.stereotype.Component; import com.springinpractice.ch12.model.Article; import com.springinpractice.ch12.model.Page; @Component public class ArticleMapper public Article toArticle(Node node) throws RepositoryException #1 Article article = new Article(); article.setId(node.getName()); article.setTitle(node.getProperty(“title”).getString()); article.setAuthor(node.getProperty(“author”).getString()); if (node.hasProperty(“publishDate”)) article.setPublishDate( node.getProperty(“publishDate”).getDate().getTime()); if (node.hasProperty(“description”)) article.setDescription(node.getProperty(“description”).getString()); if (node.hasProperty(“keywords”)) article.setKeywords(node.getProperty(“keywords”).getString()); return article; public Node addArticleNode(Article article, Node parent) #2 throws RepositoryException Node node = parent.addNode(article.getId()); node.setProperty(“title”, article.getTitle()); node.setProperty(“author”, article.getAuthor()); Date publishDate = article.getPublishDate(); if (publishDate != null) Calendar cal = Calendar.getInstance(); cal.setTime(publishDate); node.setProperty(“publishDate”, cal); String description = article.getDescription(); if (description != null) node.setProperty(“description”, description); String keywords = article.getKeywords(); if (keywords != null) node.setProperty(“keywords”, keywords); Node pagesNode = node.addNode(“pages”, “nt:folder”); int numPages = article.getPages().size(); for (int i = 0; i < numPages; i++) Page page = article.getPages().get(i); addPageNode(pagesNode, page, i + 1); return node; private void addPageNode(Node pagesNode, Page page, int pageNumber) #3 throws RepositoryException Node pageNode = pagesNode.addNode(String.valueOf(pageNumber), “nt:file”); Node contentNode = pageNode.addNode(Node.JCR_CONTENT, “nt:resource”); contentNode.setProperty(“jcr:data”, page.getContent()); #1 Maps Node to Article #2 Maps Article to Node #3 Maps Page to Node Listing 5 is more concerned with mapping code rather than Spring techniques, but we’re including it here to give you a sense for what coding against JCR looks like just in case you’re unfamiliar with it. We use toArticle() (#1) to map a JCR Node to an Article. Then we have addArticleNode() (#2) and addPageNode() (#3) to convert Articles and Pages to Nodes, respectively. In the listing below, we bring everything together with our Spring configuration. Listing 6 beans-jcr.xml, the Spring beans configuration for the JCR repo

xmlns:context=“http://www.springframework.org/schema/context” xmlns:jcr=“http://springmodules.dev.java.net/schema/jcr” #1 xmlns:jackrabbit=“http://springmodules.dev.java.net/schema/jcr/jackrabbit” #2 xmlns:p=“http://www.springframework.org/schema/p” xmlns:tx=“http://www.springframework.org/schema/tx” xmlns:xsi=“http://www.w3.org/2001/XMLSchema-instance” xsi:schemaLocation=“ http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.0.xsd http://springmodules.dev.java.net/schema/jcr http://springmodules.dev.java.net/schema/jcr/springmodules-jcr.xsd http://springmodules.dev.java.net/schema/jcr/jackrabbit http://springmodules.dev.java.net/schema/jcr/springmodules-jackrabbit.xsd”> #3 homeDir=“$repository.dir” configuration=“$repository.conf” /> #4 #5 repository=“repository” credentials=“credentials” /> #6 #7 #8 #9

[idesignibuy]

Unlocking Success: How to Hire the Right Developers for Your Project 

In today's rapidly evolving digital landscape, hiring the right developers for your project can be a game-changing decision. Whether you're looking to build a robust web application, a captivating e-commerce platform, or a cutting-edge mobile app, having the right talent on board can make all the difference. In this article, we'll explore the key considerations and steps involved in hiring developers with expertise in various technologies such as Laravel, PHP, full stack development, Magento, and React Native. 

1. The Search for Laravel Developers: 

Laravel has gained immense popularity as a powerful PHP framework for web application development. Skilled hire laravel developers can help you leverage the framework's elegant syntax, rich feature set, and strong community support. When hiring Laravel developers, look for candidates with a solid understanding of PHP, experience in building RESTful APIs, and familiarity with front-end technologies like HTML, CSS, and JavaScript. 

2. Navigating the Realm of PHP Developers 

PHP continues to be a cornerstone of web development, powering a significant portion of websites and web applications. When hire PHP developers, emphasize their proficiency in PHP frameworks (such as Laravel, Symfony, or CodeIgniter), their database management skills (MySQL, PostgreSQL), and their ability to write clean, maintainable code. 

3. The Quest for Full Stack Developers 

Full stack developers are versatile professionals capable of handling both front-end and back-end development. Hire full stack developers can streamline your development process, as they can take ownership of the entire project. Look for candidates with proficiency in both front-end technologies (HTML, CSS, JavaScript, React, Angular, etc.) and back-end technologies (Node.js, Django, Ruby on Rails, etc.). 

4. Mastering Magento Development: 

For those venturing into e-commerce, Magento offers a robust and customizable platform. When hire Magento developers, focus on their experience in creating and customizing online stores, integrating payment gateways, and optimizing performance. A deep understanding of PHP and familiarity with Magento's architecture are crucial for success in this area. 

5. Embracing React Native Developers 

Mobile app development has seen a paradigm shift with the rise of React Native. This framework allows developers to build native-like mobile apps using JavaScript and React. When hire React Native developers, assess their expertise in JavaScript, React, and their ability to create cross-platform mobile experiences that are performant and user-friendly. 

Key Steps in Hiring Developers 

1. Define Your Requirements: Clearly outline the skills, experience, and expertise you're looking for in developers. Different projects require different skill sets, so be specific. 

2. Source Candidates: Leverage various platforms such as job boards, LinkedIn, and developer communities to find potential candidates. 

3. Review Portfolios: Evaluate candidates' past projects, code samples, and contributions to open-source projects to gauge their skills and coding style. 

4. Technical Interviews: Conduct technical interviews to assess candidates' problem-solving abilities, coding skills, and understanding of relevant technologies. 

5.Cultural Fit: Remember that a good cultural fit is essential for a successful collaboration. Ensure candidates align with your company's values and work ethic. 

6.Coding Tests or Projects: Consider assigning coding tests or small projects to evaluate candidates' practical skills and approach to real-world scenarios. 

7.Collaboration and Communication: Strong communication skills and the ability to work in teams are crucial for project success. Evaluate candidates' collaboration abilities. 

8. References and Background Checks: Reach out to references to verify candidates' work history, skills, and professionalism. 

In conclusion 

hiring developers skilled in Laravel, PHP, full stack development, Magento, and React Native requires a combination of technical acumen, thorough evaluation, and attention to cultural fit. By defining your project's needs, sourcing the right candidates, and conducting comprehensive assessments, you can build a development team that propels your project to success in today's competitive digital landscape. 

[this-week-in-rust]

This Week in Rust 492

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Official

Announcing Rust 1.69.0 | Rust Blog

Project/Tooling Updates

rust-analyzer changelog #178

regex 1.8.0 release notes

Fornjot (code-first CAD in Rust) - Weekly Release - Where We've Been, Where We're Going

pavex, a new Rust web framework - Progress report #3

r3bl_tui v0.3.3 TUI engine released

Autometrics 0.4: Spot commits that introduce errors or slow down your application

Rust Search Extension v1.11.0 has been released

[video] Rust Releases! Rust 1.69.0

Observations/Thoughts

Is Rust a worthy contender for web development?

Bringing runtime checks to compile time in Rust

Can the Rust type system prevent deadlocks?

Why is Rust programming language so popular?

[video] Embeddable Rust

Rust Walkthroughs

Guide to Rust procedural macros

Rust + Embedded: A Development Power Duo

A blog article and project demonstrating GitHub actions in Rust

Foresterre's place | Using the todo! macro to prototype your API in Rust

Generics and Const Generics in Rust

Writing an NES emulator: Part 1 - The 6502 CPU

Integrating the Rust Axum Framework with Cloudflare Workers

ESP32 Embedded Rust at the HAL: GPIO Button Controlled Blinking

GBA From Scratch: A Basic Executable

[video] A Practical Introduction to Declarative Macros in Rust

Miscellaneous

Bringing Memory Safety to sudo and su

Console #154 - An Interview with Giuliano of Sniffnet - Rust app to easily monitor network traffic

[DE] Programmiersprache: Rust Foundation überarbeitet Trademark-Entwurf

Crate of the Week

This week's crate is system-deps, a crate that will compile your pkg-config-based dependencies for you.

Thanks to Aleksey Kladov for the suggestion!

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

Hyperswitch - add upsert endpoint to cards_info table

Hyperswitch - add a route that will invalidate cache

Hyperswitch - Implement ApiKeyInterface for MockDb

Hyperswitch - Implement ConfigInterface for MockDb

velo - Add ability to switch canvas background - Issue #22 - StaffEngineer/velo - GitHub 3

velo - Hex color widget - Issue #58 - StaffEngineer/velo - GitHub 1

ockam - Update CLI documentation for secure-channel-listener commands 1

ockam - Update CLI documentation for identity commands

ockam - Refactor auto-reconnect replacer 1

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

411 pull requests were merged in the last week

add support for the x86_64h-apple-darwin target

support AIX-style archive type

assume value ranges in transmute

rustc_metadata: Remove Span from ModChild

add suggestion to use closure argument instead of a capture on borrowck error

deduplicate unreachable blocks, for real this time

delay a good path bug on drop for TypeErrCtxt (instead of a regular delayed bug)

ensure mir_drops_elaborated_and_const_checked when requiring codegen

fix ICE for transmutability in candidate assembly

fix lint regression in non_upper_case_globals

fix printing native CPU on cross-compiled compiler

make impl Debug for Span not panic on not having session globals

make non_upper_case_globals lint not report trait impls

make sysroot finding compatible with multiarch systems

missing blanket impl trait not public

normalize types and consts in MIR opts

panic instead of truncating if the incremental on-disk cache is too big

report allocation errors as panics

report more detailed reason why Index impl is not satisfied

set commit information environment variables when building tools

substitute missing trait items suggestion correctly

suggest using integration tests for test crate using own proc-macro

track if EvalCtxt has been tainted, make sure it can't be used to make query responses after

miri: add minimum alignment support for loongarch64

miri: disable preemption in tokio tests again

miri: remove a test that wasn't carrying its weight

don't transmute &List<GenericArg> <-> &List<Ty>

enable flatten-format-args by default

rm const traits in libcore

remove the size of locals heuristic in MIR inlining

don't allocate on SimplifyCfg/Locals/Const on every MIR pass

allow to feed a value in another query's cache and remove WithOptConstParam

implement StableHasher::write_u128 via write_u64

in LexicalResolver, don't construct graph unless necessary

turn on ConstDebugInfo pass

run various queries from other queries instead of explicitly in phases

add intrinsics::transmute_unchecked

add offset_of! macro (RFC #3308)

limit read size in File::read_to_end loop

specialize some io::Read and io::Write methods for VecDeque<u8> and &[u8]

implement Neg for signed non-zero integers

hashbrown: change key to return &K rather than &Q

hashbrown: relax the trait bounds of HashSet::raw_table{,_mut}

regex: fix prefix literal matching bug

portable-simd: lane → element for core::simd::Simd

portable-simd: implement dynamic byte-swizzle prototype

cargo: add the Win32_System_Console feature since it is used

cargo: allow named debuginfo options in Cargo.toml

cargo: better error message when getting an empty dep table

cargo: fix: allow win/mac credential managers to build on all platforms

cargo: improve error message for empty dep

clippy: arithmetic_side_effects cache symbols

clippy: arithmetic_side_effects detect integer methods that can introduce side effects

clippy: add items_after_test_module lint

clippy: add size-parameter to unecessary_box_returns

clippy: bugfix: ignore impl Trait(s) @ let_underscore_untyped

clippy: check for .. pattern in redundant_pattern_matching

clippy: don't suggest suboptimal_flops unavailable in nostd

clippy: fix #[allow(clippy::enum_variant_names)] directly on variants

clippy: fix false positive in allow_attributes

clippy: ignore manual_slice_size_calculation in code from macro expansions

clippy: ignore shadow warns in code from macro expansions

clippy: make len_zero lint not spanning over parenthesis

clippy: new lint: detect if expressions with simple boolean assignments to the same target

clippy: suppress the triggering of some lints in derived structures

rust-analyzer: add #[doc(alias(..))]-based field and function completions

rust-analyzer: don't wavy-underline the whole for loop

rust-analyzer: editor.parameterHints.enabled not always being respected

rust-analyzer: deduplicate passed workspaces by top level cargo workspace they belong to

rust-analyzer: fix need-mut large span in closures and a false positive

rust-analyzer: fix panic in const eval and parameter destructing

rust-analyzer: fix pat fragment handling in 2021 edition

rust-analyzer: mbe: fix token conversion for doc comments

rust-analyzer: remove extra argument "rustc"

rust-analyzer: report remaining macro errors in assoc item collection

rust-analyzer: resolve $crate in derive paths

rust-analyzer: register obligations during path inference

rust-analyzer: simple fix for make::impl_trait

rust-analyzer: specify --pre-release when publishing vsce nightly

Rust Compiler Performance Triage

A week mostly dominated by noise, in particular a persistent bimodality in keccak and cranelift-codegen. No significant changes outside of that, a relatively equal mix of regressions and improvements. Most of the bimodality has been removed in the full report as it's just noise.

Triage done by @simulacrum. Revision range: 74864fa..fdeef3e

3 Regressions, 6 Improvements, 5 Mixed; 1 of them in rollups 60 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

RFC: result_ffi_guarantees

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

Add RFC on governance, establishing the Leadership Council

Tracking Issues & PRs

[disposition: merge] Use fulfillment to check Drop impl compatibility

[disposition: merge] Only check outlives goals on impl compared to trait

[disposition: merge] rustdoc: restructure type search engine to pick-and-use IDs

[disposition: merge] Stabilize raw-dylib, link_ordinal, import_name_type and -Cdlltool

[disposition: merge] Add deployment-target --print flag for Apple targets

New and Updated RFCs

[new] RFC: Rustdoc configuration via Cargo (includes feature descriptions)

[new] RFC: Partial Types

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2023-04-26 - 2023-05-24 🦀

Virtual

2023-04-26 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust-friendly websites and web apps

2023-04-27 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Testing Tock, how unit tests in Rust improve and teach

2023-04-27 | Copenhagen, DK | Copenhagen Rust Community

Rust meetup #35 at Google Cloud

2023-04-29 | Virtual (Nürnberg, DE) | Rust Nuremberg

Deep Dive Session 3: Protohackers Exercises Mob Coding (as far as we get)

2023-05-02 | Virtual (Buffalo, NY, US) | Buffalo Rust Meetup

Buffalo Rust User Group, First Tuesdays

2023-05-03 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2023-05-09 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2023-05-11 | Virtual (Nürnberg, DE) | Rust Nuremberg

Rust Nürnberg online

2023-05-13 | Virtual | Rust GameDev

Rust GameDev Monthly Meetup

2023-05-16 | Virtual (Washington, DC, US) | Rust DC

Mid-month Rustful

2023-05-17 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust Atomics and Locks Book Club Chapter 2

2023-05-17 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

Asia

2023-05-06 | Kyoto, JP | Kansai Rust

Rust Talk: Vec, arrays, and slices

Europe

2023-04-26 | London, UK | Rust London User Group

Rust Hack & Learn April 2023

2023-04-27 | Bordeaux, FR | DedoTalk

#2 DedoTalk 🎙️ : Comment tester son code Rust?

2023-04-27 | Vienna, AT | Rust Vienna

Rust Vienna - April - Hosted by Sentry

2023-05-02 | Amsterdam, NL | Rust Developers Amsterdam Group

Fiberplane Rust Workshop

2023-05-10 | Amsterdam, NL | RustNL

RustNL 2023

2023-05-19 | Stuttgart, DE | Rust Community Stuttgart

OnSite Meeting

North America

2023-04-29 | Durham, NC, US | Triangle Rust

Rust Social / Coffee Chat at Boxyard RTP

2023-05-03 | Austin, TX, US | Rust ATX

Rust Lunch

2023-05-11 | Lehi, UT, US | Utah Rust

Upcoming Event

2023-05-16 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

Oceania

2023-04-27 | Brisbane, QLD, AU | Rust Brisbane

April Meetup

2023-05-03 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust meetup meeting

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

That said, I really like the language. It’s as if someone set out to design a programming language, and just picked all the right answers. Great ecosystem, flawless cross platform, built-in build tools, no “magic”, static binaries, performance-focused, built-in concurrency checks. Maybe these “correct” choices are just laser-targeted at my soul, but in my experience, once you leap over the initial hurdles, it all just works™️, without much fanfare.

– John Austin on his blog

Thanks to Ivan Tham for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[teardownit]

Shelly RGBW2 controller and Shelly Duo RGBW bulb. Dangerous light pulsations.

I have been interested in smart home systems, automation, and sensors for a long time. I like devices without reference to any manufacturer. So I often use the excellent Shelly Wi-Fi devices. These relays, controllers, and bulbs have an open embedded web server and are controlled via MQTT or web API.

I recently made new lighting in my home lab. I used a Shelly RGBW2 controller (24 volts) for the bright white LED strip (main light) and Shelly Duo RGBW GU10 bulbs (background light).

I immediately noticed discomfort in my eyes, and by evening my eyes were watery. I thought I had pinkeye, or the air in my room was dehydrated, or the street air was suddenly polluted. I agonized for two days.

On the third day, I experimented with LEDs and a spectrometer for one of my future posts. I was getting extraordinary results. During one of the experiments, I pointed the spectrometer at my illuminating LED strip in the lab for comparison with samples. Bingo! I saw a scary pattern of light ripples.

I also measured the light pulsations from the bulbs and saw a similar pattern.

The Shelly RGBW2 controller and Shelly Duo RGBW GU10 bulbs produce 600/1000 Hz pulsations (accordingly) and deep modulation (almost 100%).

But maybe it's normal, and my eyes are abnormally sensitive?

As an engineer, I looked into the current/existing regulations and found what I needed. IEEE 1789-2015 «IEEE Recommended Practices for Modulating Current in High-Brightness LEDs for Mitigating Health Risks to Viewers»

It is easier for the average person to read a presentation from the U.S. Department of Energy, «FLICKER: Understanding the New IEEE Recommended Practice»

Briefly. «Max % Flicker ≤ Flicker Frequency x 0.08» For a frequency of 600 Hz - the modulation must not exceed 48%. For a frequency of 1000 Hz – the modulation must not exceed 80%. For a frequency of 1250 Hz - the modulation can be any.

My spectrometer detected an amplitude of 98-99%... And that's too bad.

How are the light modulation (amplitude) and the light pulsation frequency related?

For the Shelly RGBW2 controller.

For the Shelly Duo RGBW GU10 bulb.

Dependence of pulsing frequency and modulation depth. This is the safe area graph from IEEE 1789-2015. My crossover point (98% at 600 and 1000 Hz) is in the white zone. This means "the product is not acceptable".

Controller output voltage modulation for powering the LED strip.

A little check on the other side. I built a small circuit to test the voltage modulation from the controller (Shelly RGBW2 output) to the light source. I connected the device to a 24-volt power supply. I attached a load (a piece of LED strip) and an oscilloscope at the channel's output.

Additionally, I will check several device operating modes: 1%, 50%, and 97% of maximum brightness, and I want to confirm my guesses about the PWM modulator operating mode.

My results. For 1% power:

For 50% power. The main light in my lab works in this mode.

For 97% power.

The minimum PWM regulator voltage is less than 10 volts in all cases.

This is not zero. Could the LED strip emit light at this voltage? If yes, then the light pulsation amplitude (the difference between the minimum and maximum level) may decrease noticeably. Is my spectrometer wrong, and the light emission amplitude does not start from zero?

I assembled another test bench to test the minimum supply voltage for emitting light from the used sample strip. Simple. I connected the LED strip to an adjustable power supply.

At 10 volts, the strip does not work - there is no light emission!

I gradually increased the output voltage and got the initial result (weak glow of the LED strip) at 15.4 volts.

This means that the LEDs do not emit light at the lower/minimum PWM regulator voltage of Shelly RGBW2 (see text above - no more than 10 volts). The light pulsation amplitude starts from zero.

More information on the Shelly Duo RGBW GU10 bulb light pulsation.

I checked the light modulation at different operating modes (at different light brightnesses).

At 100%: The modulation is around 58% (it should not be more than 48%).

At 50%: Almost 100% (it should not be more than 48%).

Results.


I don't know how a person, a buyer, can protect his health from dangerous devices without specialized knowledge and instrumentation. My measurements showed that seemingly beautiful devices can be dangerous. My eyes did not fail me and immediately reacted to the defect and hazardous light property.

I have written a letter to the manufacturer describing the problem and await their response. Stay tuned for a follow-up.

Update 06/08/2023.

I received a reply from Shelly (see below in the text).

Unfortunately, I do not recommend using Shelly Duo RGBW GU10 bulbs and Shelly RGBW2 LED controllers.

The built-in PWM controllers in these devices: ‍- have unacceptable operating frequencies, - do not meet IEEE 1789-2015 requirements and recommendations, - and are hazardous to the human eye.

[authenticate01]

Unlock Your Hiring Potential with These Best Background Check APIs

If you're in need of the finest Background Checks API and Background Screening API solutions, look no further than Authenticate. With their comprehensive services, they provide efficient and reliable techniques for verifying a person's record, including Background Criminal Checks and Background Screening services.

Background checks have become increasingly important in today's world, as organizations and individuals strive to ensure safety and trust in their interactions. Authenticate understands this need and has developed advanced APIs that streamline the background check process, making it faster, more accurate, and easily accessible. This service enables users to obtain detailed information about a person's criminal history, including arrests, convictions, and any other relevant records. By integrating this API into their systems, businesses can quickly and securely perform Background Criminal Check, ensuring they make informed decisions when it comes to hiring employees or engaging in partnerships.

In addition to the Background Criminal Check, Authenticate also offers a comprehensive Background Screening service. This service goes beyond criminal records and includes a wide range of checks such as employment verification, education verification, reference checks, and more. By leveraging this API, organizations can efficiently verify the credentials and background information of individuals, ensuring they align with the desired requirements and standards.

Authenticate’s commitment to fast techniques sets them apart from other providers in the market. Their APIs are designed to deliver swift results without compromising accuracy and quality. Whether it's a single background check or a high volume of screenings, Authenticate's API solutions can handle the workload efficiently, saving valuable time for businesses and individuals.

Moreover, Authenticate prioritizes data security and privacy. They adhere to strict protocols and employ robust encryption methods to safeguard sensitive information during the background check process. Clients can have peace of mind knowing that their data is handled with utmost confidentiality and in compliance with legal regulations.

Authenticate offers the finest Background Check API and Background Screening API solutions available today. Their services, including the Background Criminal Check and Background Screening, provide efficient and accurate techniques for verifying a person's record. With a focus on speed, security, and data privacy, Authenticate is the trusted partner for businesses and individuals seeking reliable background check services. Call us at +1 833-283-7439 or visit us at:- https://authenticate.com/

[hydrus]

Version 529

windows

zip

exe

macOS

app

linux

tar.gz

NOTICE! For everyone but macOS, Version 527 had special update instructions. If you are updating from 526 or earlier, please consult the post here: https://github.com/hydrusnetwork/hydrus/releases/tag/v527

I had a good week. There's a new quick lookup system that lets you search for a file's source without importing it.

full changelog

sauce

Every now and then, I am looking at a file outside of hydrus and I can't remember who the artist/character is, or I want to know if I have the artist subbed. When it isn't something the common online source platforms support, I usually download the file, import it to my client, and then do a 'open->similar looking files' on it to see everything I have that looks like it to get more info. I'm basically doing SauceNAO but on my own client. I wanted a way to do this faster.

So, this week, check out the renamed 'system:similar files' predicate on a fresh search page. It now has two tabs. The latter is the normal 'system:similar to' that takes file hashes, if you need to do some manual lookup between imported files, but the first panel is now essentially a paste button. If you copy image data or a file path to your clipboard and paste it there, it'll calculate the similar files info and embed it into the search predicate, letting you search for anything that looks similar to what you have in your clipboard. Give it a go!

I also added a search cache to the main 'similar files' search system. Repeat searches should be massively faster, and searches you re-run with increased distance, like 0 to 4 to 8, and the background similar files search should also accelerate naturally as the cache populates. My 10k file test client's similar files search sped up about 3-4x! I'm not sure what a million+ file client will do, but let me know what you see.

other (advanced) highlights

The v527 update went ok, no massive problems, but I wish I had done a bit more testing. Some Win 10 users are getting a two-second delay on opening any page due it seems to a Qt bug that got fixed in the next update, and putting these new libraries in front of more eyes would have caught this. Therefore, I have made a 'future' beta build that is the same code as the normal release, but it uses the newer library versions I am planning to next update to, for instance Python 3.10 instead of 3.9 and Qt 6.5.0 rather than 6.4.1. I am not sure how often I will put these future previews out--maybe once a month, maybe every week--but for now, if you had any weird issues with the recent update like the two-second bug, please check out the 'future' version of last week's 528 here: https://github.com/hydrusnetwork/hydrus/releases/tag/v528-future-1 . I'd also like to hear from anyone who has an older or unusual system and just wants to try it out. I particularly want to hear about problems--if you need to perform a clean install to update, if you have an older OS and it straight up won't boot, just any feedback on what is good and bad, and I can tweak it before I roll the updates into the master branch.

Thanks to a user, the HTML parsing formula now lets you search the previous or next siblings of a tag (instead of just descendants or ancestors). If you know you need the 2nd 'p' tag after the 'div' you have, it should be pretty easy now!

next week

I'll keep at small jobs and cleanup. I realised just now that my new similar files paste button should probably take direct file URLs too, so I'll give that a go. It'd be nice to hammer out some more Client API stuff too, and I really need to catch up on github issues, but we'll see. I am not firing on all cylinders right now, so I am keeping it simple.

[govindhtech]

FLARE Capa, Identifies Malware Capabilities Automatically

Capa is FLARE’s latest open-source malware analysis tool. Google Cloud platform lets the community encode, identify, and exchange malicious behaviors. It uses decades of reverse engineering knowledge to find out what a program performs, regardless of your background. This article explains capa, how to install and use it, and why you should utilize it in your triage routine now.

Problem

In investigations, skilled analysts can swiftly analyze and prioritize unfamiliar files. However, basic malware analysis skills are needed to determine whether a software is harmful, its participation in an assault, and its prospective capabilities. An skilled reverse engineer can typically restore a file’s full functionality and infer the author’s purpose.

Malware analysts can rapidly triage unfamiliar binaries to acquire first insights and guide analysis. However, less experienced analysts sometimes don’t know what to look for and struggle to spot the unexpected. Unfortunately, strings / FLOSS and PE viewers offer the least information, forcing users to mix and interpret data.

Malware Triage 01-01

Practical Malware Analysis Lab 01-01 illustrates this. Google Cloud want to know how the software works. The file’s strings and import table with relevant values are shown in Figure 1.Image credit to Google cloud

This data allows reverse engineers to deduce the program’s functionality from strings and imported API functions, but no more. Sample may generate mutex, start process, or interact via network to IP address 127.26.152.13. Winsock (WS2_32) imports suggest network capabilities, but their names are unavailable since they are imported by ordinal.

Dynamically evaluating this sample may validate or reject hypotheses and uncover new functionality. Sandbox reports and dynamic analysis tools only record code path activity. This excludes features activated following a successful C2 server connection. Google seldom advise malware analysis with an active Internet connection

We can see the following functionality with simple programming and Windows API knowledge. The malware:

Uses a mutex to limit execution to one

Created a TCP socket with variables 2 = AF_INET, 1 = SOCK_STREAM, and 6 = IPPROTO_TCP.

IP 127.26.152.13 on port 80

Transmits and gets data

Checks data against sleep and exec

Develops new method

Malware may do these actions, even if not all code paths execute on each run. Together, the results show that the virus is a backdoor that can execute any program provided by a hard-coded C2 server. This high-level conclusion helps us scope an investigation and determine how to react to the danger.

Automation of Capability Identification

Malware analysis is seldom simple. A binary with hundreds or thousands of functions might propagate intent artifacts. Reverse engineering has a high learning curve and needs knowledge of assembly language and operating system internals.

After enough effort, it is discern program capabilities from repeating API calls, strings, constants, and other aspects. It show using capa that several of its primary analytical results can be automated. The technology codifies expert knowledge and makes it accessible to the community in a flexible fashion. Capa detects characteristics and patterns like a person, producing high-level judgments that may guide further investigation. When capa detects unencrypted HTTP communication, you may need to investigate proxy logs or other network traces.

Introducing capa

The output from capa against its sample program virtually speaks for itself. Each left item in the main table describes a capability in this example. The right-hand namespace groups similar capabilities. capa defined all the program capabilities outlined in the preceding part well.

Capa frequently has unanticipated outcomes. Capa to always present the evidence required to determine a capability. The “create TCP socket” conclusion output from capa . Here, it can see where capa detected the necessary characteristics in the binary. While they wait for rule syntax, it may assume they’re a logic tree with low-level characteristics.

How it Works

Its two major components algorithmically triage unknown programs. First, a code analysis engine collects text, disassembly, and control flow from files. Second, a logic engine identifies rule-based feature pairings. When the logic engine matches, it reports the rule’s capability.

Extraction of Features

The code analysis engine finds program low-level characteristics. It can describe its work since all its characteristics, including strings and integers, are human-recognizable. These characteristics are usually file or disassembly-related.

File characteristics, like the PE file header, are retrieved from raw file data and structure. Skimming the file may reveal this. Other than strings and imported APIs, they include exported function and section names.

Advanced static analysis of a file extracts disassembly characteristics, which reconstructs control flow. Figure displays API calls, instruction mnemonics, integers, and string references in disassembly.Image credit to Google cloud

It applies its logic at the right level since sophisticated analysis can differentiate between functions and other scopes in a program. When unrelated APIs are utilized in distinct functions, capa rules may match them against each function separately, preventing confusion.

It is developed for flexible and extensible feature extraction. Integrating code analysis backends is simple. It standalone uses a vivisect analysis framework. The IDA Python backend lets you run it in IDA Pro. various code analysis engines may provide various feature sets and findings. The good news is that this seldom causes problems.

Capa Rules

A capa rule describes a program capability using an organized set of characteristics. If all needed characteristics are present, capa declares the program capable.

Its rules are YAML documents with metadata and logic assertions. Rule language includes counting and logical operators. The “create TCP socket” rule requires a basic block to include the numbers 6, 1, and 2 and calls to API methods socket or WSASocket. Basic blocks aggregate assembly code low-level, making them perfect for matching closely connected code segments. It enables function and file matching in addition to basic blocks. Function scope connects all features in a disassembled function, whereas file scope includes all file features.

Rule names define capabilities, whereas namespaces assign them to techniques or analytic categories. Its output capability table showed the name and namespace. Author and examples may be added to the metadata. To unit test and validate every rule, Google Cloud utilizes examples to reference files and offsets with known capabilities. Please maintain a copy of capa rules since they detail real-world malware activities. Meta information like capa’s support for the ATT&CK and Malware Behavior Catalog frameworks will be covered in a future article.

Installation

The offer standalone executables for Windows, Linux, and OSX to simplify capa use. It provide the Python tool’s source code on GitHub. The capa repository has updated installation instructions.

Latest FLARE-VM versions on GitHub feature capa.

Usage

Run capa and provide the input file to detect software capabilities:

Suspicious.exe

Capa supports shellcode and Windows PE (EXE, DLL, SYS). For instance, to analyze 32-bit shellcode, capa must be given the file format and architecture:

Capa sc32 shellcode.bin

It has two verbosity levels for detailed capability information. Use highly verbose to see where and why capa matched rules:

Suspicious.exe capa

Use the tag option to filter rule meta data to concentrate on certain rules:

Suspicious.exe capa -t “create TCP socket”

Show capa’s help to show all available options and simplify documentation:

$capa-h

Contributing

Google cloud believe capa benefits the community and welcome any contribution. Google cloud appreciate criticism, suggestions, and pull requests. Starting with the contributing document is ideal.

Rules underpin its identifying algorithm. It aims to make writing them entertaining and simple.

Utilize a second GitHub repository for its embedded rules to segregate work and conversations from its main code. Rule repository is a git submodule in its main repository.

Conclusion

FLARE’s latest malware analysis tool is revealed in this blog article. The open-source capa framework encodes, recognizes, and shares malware behaviors. Believe the community needs this tool to combat the number of malware it encounter during investigations, hunting, and triage. It uses decades of knowledge to explain a program, regardless of your background.

Apply it to your next malware study. The program is straightforward to use and useful for forensic analysts, incident responders, and reverse engineers.

Read more on govindhtech.com

[snapfox898]

Sip Softphone Mac Free

Sip Softphone Mac Free Download

Mac Free Antivirus

Softphone For Mac

×

Warning!

All softphones comes with a long list of features supporting all the common SIP related standards and a wide range of codec support including G.729 and wideband HD audio designed to seamlessly work with any SIP network including advanced NAT bypass capabilities. Three different softphone series: Free softphones for non-commercial usage. Zoiper runs on a multitude of different platforms: Mac, Linux or Windows, iPhone and Android - with support for both SIP and IAX, and includes free and paid versions of their software. Microsip is free open source SIP softphone that runs on Windows OS, and is also portable. Switchvox Softphone for Mobile. Integrated softphones for Mac and Windows; Elastix also includes the features that are brought from other open-source projects like Postfix, HylaFax, FreePBX, Openfire. Kamailio/ OpenSER. Kamailio, previously known as OpenSER, is a free and open-source sip sever and offers a high-security level. Compared to other SIP servers, Kamailio is a bit.

Secure & Instant Update

The IP Update Client runs in the background and checks for IP changes every 2 minutes to keep your hostnames mapped to the most current IP address at all times.

Mac Os Sip

CounterPath's X-Lite is the market's leading free SIP based softphone available for download. X-Lite provides you with some of the most popular features of our fully-loaded Bria softphone so you can take them for a test drive before you make your purchase. QuteCom was previously called Wengophone. It is a strong and free VoIP client application that offers what Skype offers plus SIP compatibility.That is, you can make free voice and video calls to other people using QuteCom, and make cheap calls to landline and mobile phones worldwide. Softphones are client devices for making and receiving voice and video calls over the IP network with the standard functions of most original telephones and usually allow integration with VoIP phones and USB phones instead of using a computer's microphone and speakers (or headset). Blink is a simple free SIP client that works with Windows, Linux and Mac. This free SIP client comes with eye-catching features like free voice over IP, presence, file transfers, instant messaging and desktop sharing. Liblinphone is a high level library integrating all the SIP video calls feature into a single easy to use API. Usually telecommunications is made of two things: media and signaling. Liblinphone aims at combining the two things together.

Best Sip Client

Name: Dynu IP Update Client

Version: 4.3

Operating System: Mac OS X

Last Updated: 6/20/2017

By: Dynu Systems

Client Documentation

Frequently Asked Questions

Service Setup Tutorial

Seek Community Assistance

Report a Bug

Packed with Features

The IP Update Client is designed to make it easier for you to install and use. It performs its functions by bringing you the utmost convenience.

Secure IP update

Our advanced IUC sends your IP update in a secure manner to safely update the hostnames in your account.

IP check every 2 minutes

Any change in IP address is monitored carefully to ensure quick IP address updates.

Easy to use interface

The client has a simple and intuitive interface to allow quick configuration and management.

Bypass ISP proxy

The client can dynamically adjust communication paths to bypass proxy servers and detect your real IP address.

Convenient accessibility

Easily access the application as well as view the current status in the menu bar.

IPv6 support

This IP update client supports both IPv4 and IPv6 updates. You can enable/disable IPv6 update based on IPv6 connectivity through your ISP.

Support for locations

You can use multiple instances of the IP update client to update a set of hostnames each by setting up locations in the control panel.

Sip Softphone Mac Free Download

Activity monitoring

View the chronological list of actions taken and any errors encountered in the activity area.

Join is a generic SIP Softphone with support for HD voice and video. Inspired by the idea of BYOD (Bring Your Own Device), Join can work with any SIP compliant IP PBX or VoIP provider. In addition Join can be connected to multiple services at the ..

iOS

Mac Free Antivirus

Join is a generic SIP Softphone with support for HD voice and video. Inspired by the idea of BYOD (Bring Your Own Device), Join can work with any SIP compliant IP PBX or VoIP provider. In addition Join can be connected to multiple services at the same time.

Join enables VoIP calls over 3G and Wi-FI networks. Wide selection of codecs ensures high quality of both audio and video. Both signalling and media (audio and video) can be encrypted using advanced security techniques (SRTP and TLS).

Main Features:

-Multiple accounts support with multiple active registrations -Work in background for TCP, UDP and TLS

-Encryption for SIP and Audio/Video - SRTP and TLS -Audio codecs including: G.711 (A-Law, u-LAW), G.722 (NB, WB), G.729*, GSM, Silk (NB , MB, HD, UWB), Speex, OPUS -Video codecs including: H264*, H263+, H263, VP8 -Various video quality settings according to your network conditions: Very High, High, Good, Low, Very Low -Video Call preview -Speaker, mute and hold -Dialing plan support – create your own dial plan rules -International dialing – automatically add prefixes to dialled numbers

-Instant Messaging (SIP SIMPLE, support for Resource List) -Contacts list integrated with native address book -Favorites -Presence integrated with contacts -Attachments in IM messages -Emoticons

-Voicemail indicator (MWI) -Detailed call history

-Echo Cancellation -Support for DTMF via SIP INFO and RFC 2833 -DNS SRV -STUN and ICE -Rport - compatible with WebRTC

*Premium codecs can be purchased in add-ons section.

Note: 1. You need to have an account from VoIP provider in order to use this software – Join Softphone is a standalone application and not a VoIP Service.

Softphone For Mac

2. Please, check your cellular operator's terms of agreement to make sure they allow sip calls on their network before using Join Softphone.

Bilder

Download

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[laraveldevelopers]

Laravel Developers: Roles & Responsibility, Skills & Proficiency

This open-source framework has progressively become one of the top choices among developers. Most think that Laravel is responsive, lightweight, clean, and easy to utilize.

Laravel has a comprehensive exhibit of instruments and libraries that velocities up the advancement cycle. Thus, there's no compelling reason to revamp capacities with each software project.

All things being equal, a Laravel developer can zero in on plan, advancement, usefulness, and different things that genuinely matter. Peruse on to discover the abilities and capabilities required in a Laravel developer.

What does a Laravel Developer do?

The clinical field is packed with medical services experts we call specialists. Nonetheless, a lot of specialists have solid aptitude in explicit parts of medication. There are cardiologists, immunologists, hematologists, etc

Similarly, the universe of software innovation has reproduced a local developer area that spends significant time in various advancements.

A Laravel developer resembles some other software developer. One thing that separates them is their uncommon proclivity for the Laravel framework utilizing the PHP programming language. Laravel developers make it conceivable to construct profoundly practical web applications that lift user experience.

A Laravel developer is responsible for:

building and maintaining modern web applications using standard web development tools

writing clean and secure modular codes that have undergone strict testing and evaluation

checking the validity and consistency of HTML, CSS, and JavaScript on different platforms

  debugging and resolving technical issues

 maintaining and designing databases

performing back-end and User Interface (UI) tests to enhance the functionality of an application

 collaborating with other developers (front-end, back-end, mobile app, etc.) and project managers to move the software projects faster

documenting the task progress, architecture, and development process

 keeping up-to-date with the latest technology trends and best practices in Laravel development

Skills Required to be a Laravel Developer

It's a given that Laravel developers should have a solid foundation in the Laravel framework. However, they must be skilled in different aspects of technology. Here's a list of the Laravel skills to look out for.

Deep understanding of the primary web languages: HTML, CSS, and JavaScript.

Solid experience working with the PHP, the latest Laravel version, SOLID Principle, and other types of web frameworks

Proven expertise in managing API services (REST and SOAP), OOP (Object-oriented Programming), and MVC.

Demonstrable experience in unit testing using test platforms like PHPSpec, PHPUnit, and Behat

Good working knowledge in design and query optimization of databases (MySQL, MS SQL, and PostgreSQL) and NoSQL (MongoDB and DynamoDB).

 Familiarity with server tools (Apache, Nginx, PHP-FPM) and cloud servers (Azure, AWS, Linode, Digital Ocean, Rackspace, etc.)

 Excellent communication and problem-solving skills

 Write clean, testable, secure, and dynamic codes based on standard web development best practices.

 Build and maintain innovative web applications and websites using modern development tools

 Check if the CSS, HTML, and JavaScript are accurate and consistent across different apps.

  Integrate back-end data services and improve current API data services

 Document and continuously update the development process, project components, and task progress based on business requirements

and maintain databases

 Optimize performance by performing UI and back-end tests

 Scale, expand and improve our websites and applications.

Perform debugging and troubleshooting on apps

Collaborate with project managers, co-developers, software testers, and web designers to complete project requirements

Effectively communicate with clients and other teams when needed.

Update on current industry trends and emerging technologies and apply them to the development process

A bachelor's or master's degree in Computer Science, Engineering, IT, or other related fields

Proven experience as a Laravel or PHP Developer

Core knowledge of PHP frameworks (Laravel, CodeIgniter, Zend, Symfony, etc.)

Fundamental understanding of front-end technologies like HTML5, CSS3, and JavaScript

Hands-on experience with object-oriented programming

Top-notch skills in building SQL Schema design, REST API design, and SOLID principles

 Familiarity with MVC and fundamental design principles

 Proficiency with software testing using PHPUnit, PHPSpect, or Behat

Basic knowledge in SQL and NoSQL databases is a plus.

 Background in security and accessibility compliance (depending on the project requirements)

Basic knowledge of Search Engine Optimization (SEO) is a good advantage.

 Ability to work in a fast-paced environment and collaborate effectively with other team members and stakeholders

 Strong project management skills

 Searching for Laravel Experts?

Nowadays, hiring a top-notch Laravel developer is manageable if you know what you're looking for. Vittorcloud is one of the top companies in Ahmedabad from where you can hire a laravel developer. The company deals in a lot of technological services like machine learning, Iot, blockchain development, artificial intelligence.