Characteristics Of Web Applications Research Articles

Landscape of racial and ethnic health disparities in the All of Us Research Program.

The All of Us Research Program ("All of Us") is an initiative led by the National Institutes of Health whose goal is to advance research on personalized medicine and health equity through the collection of genetic, environmental, demographic, and health data from volunteer participants who reside in the USA. The program's emphasis on recruiting a diverse participant cohort makes "All of Us" an effective platform for investigating health disparities. In this work, we analyzed participant electronic health record (EHR) data to identify the diseases and disease categories in the "All of Us" cohort for which racial and ethnic prevalence disparities can be observed. In conjunction with these analyses, we developed the US Health Disparities Browser as an interactive web application that enables users to visualize differences in race- and ethnic-group-specific prevalence estimates for 1755 different diseases: https://usdisparities.biosci.gatech.edu/. The web application features a catalog of all diseases represented in the browser, which can be sorted by overall prevalence as well as the variance in prevalence across racial and ethnic groups. The analyses outlined here provide details on the nature and extent of racial and ethnic health disparities in the "All of Us" participant cohort, and the accompanying browser can serve as a resource through which researchers can explore these disparities Database URL: https://usdisparities.biosci.gatech.edu.

A Comprehensive Exploration of Text, Web, Social Media, and Geospatial Analytics for Informed Decision Making

Text Analytics is the process of turning unstructured text data into useful information for analysis, to gauge consumer opinions, feedback, and product evaluations. It also provides search functionality, entity modelling, and emotional analysis to enable fact-based decision making. Analysis of website visitor behaviour is done using Web Analytics. The number of websites and users on the internet is growing daily. It is the process of tracking website information that can help to improve the web application features and evaluate the behaviour of users. By performing social media analytics on social media for example twitter, Instagram, Facebook. Data such as likes, comments, shares and saves can be obtained and analyse to know how the society think about the product. Geospatial analysis is used to make visualizations that include maps, graphs, statistics that show data according to geographic location. This is important to be analysed as it tells which area or country has the highest product sold or lowest subscription of the service. To make the data much easier for human brain to analyses or to make a conclusion, data visualization design is the process of putting all data information collected into a visual context. For instance, graph or map. The main objectives of data visualization are to make it simpler or easier to spot the outliers and patterns trends in big data sets. There are a variety of clustering processes or techniques available to arrange the data efficiently to its related data. The clustering process that is used in data mining is presented in this work.

Harnessing Text and Web Analytics to Enhance Decision-Making in Job Opportunity Categorization

Text analytics is defined as a method of analyzing compilations of structured text such as dates, times, locations, semi structured text, such as HTML and JSON as well as unstructured text, such as word documents, videos, and images, to extract and discover trends and relationships without requiring the exact words or terms to convey those concepts. Web analytics on the other hand is the technology that collects, measures, analyses, and provides reports of data on how users use websites and web applications. It is used to track a number of aspects of direct user-website interactions, such as the number of visits, time spent on the site, and click pathway. It also aids in the identification of user interest areas and the enhancement of web application features. We used clustering techniques to categorize the job opportunities that are available for the job seekers. By implementing text analytics, text data may be grouped with the goal of providing outcomes in the form of word frequency distribution, pattern identification, and predictive analytics. Text analytics may create one-of-a-kind values to use in the improvement of decision-making and business processes, as well as the development of new business models.

Abstract 4921: A user-friendly R Shiny web app for predicting cancer genetic dependencies using deep learning

Abstract Understanding the genetic vulnerabilities (i.e., genetic dependencies) of cancer cells is crucial for developing novel anti-cancer treatments. The Cancer Dependency Map (DepMap) projects, conducted by the Broad Institute and Wellcome Sanger Institute, have performed comprehensive genome-wide CRISPR-Cas9 knockout screens across diverse cancer cell lines. These data resources have enabled computational biologists to glean insights into cancer genetic dependencies using sophisticated computational models. As different genomic mechanisms govern tumorigenesis and genetic vulnerability, the relationship between cancer genomics and genetic dependencies is nonlinear, making the prediction of genetic dependencies challenging. Addressing this challenge, we previously developed a deep learning model, namely DeepDEP, to predict cancer genetic dependencies using multi-omic profiles (Chiu et al. DOI:10.1126/sciadv.abh1275). DeepDEP has a transfer learning scheme that integrates genomic representations captured from unlabeled tumor samples of the Cancer Genome Atlas (TCGA) and genomic features that are predictive of genetic dependencies in cell lines. Such a design enables the application of DeepDEP to both cell lines and tumors. The model demonstrated superior performance compared to various conventional machine learning methods. Prediction results were validated using independent cell-line datasets and patient clinical data. Here, we developed an intuitive web application for DeepDEP which allows users to easily utilize the model on their in-house data. Users can simply indicate whether the query sample is derived from a cancer cell line or a tumor, upload any combination of mutation, gene expression, DNA methylation, and copy number alteration datasets, and view the predicted dependencies of 1,298 cancer-relevant genes. Along with the genetic dependency predictions, users are provided with model performance metrics, detailed gene annotations, and links to useful resources such as Ensembl and COSMIC. Our web application features a variety of interactive visualizations to guide users to interpret the results at the levels of individual genes and pathways. The tool has two supplemental modules to enhance its functionality. One allows users to search for similar cell lines to the query sample within the DepMap project or for similar tumors within the TCGA project. The other supplemental module provides data exploration tools for pre-calculated predictions across all TCGA tumors. In summary, this user-friendly web application provides researchers with access to deep learning predictions of cancer genetic dependencies with various interactive visualization and analysis tools. It is anticipated that this application will facilitate the study of cancer genetic dependencies and enhance the efficiency of anti-cancer drug discovery. Citation Format: Michael J. Kasper, Li-Ju Wang, Michael Ning, Yufei Huang, Yu-Chiao Chiu. A user-friendly R Shiny web app for predicting cancer genetic dependencies using deep learning [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4921.

Тracking Students’ Learning Progress on Troubleshooting Logical Circuits Using Web Application

This paper presents the development and usage of a web application for troubleshooting logical circuits. The application is designed to support the teaching and learning of troubleshooting logical circuits by providing students with a platform to practice troubleshooting and allowing teachers to monitor students' progress. The web application features an interactive interface that allows students to simulate and troubleshoot logical circuits using the method of truth table. The application also provides students with immediate feedback on their troubleshooting attempts and highlights areas that need improvement. Furthermore, the application has a tracking system that allows instructors to monitor students' progress and identify areas where students may need additional support. Growing complexity and usage of logical combinational circuits require better methods for teaching and improving students’ engagement.

Sistem Informasi Loyalty Program di Layanan Penjualan Produk Software pada Bagian Point of Sales PT. XYZ

This research is backed by customer loyalty to the point of sales service tends to decline due to the difficult marketing part of managing customer data manually in accepting and responding to questions related to Web application features and help with how to use them, as more and more customers become difficult to control and track in each issue. The subject in this study is the customer service Manager. Data source is selected using special criteria with the condition of user who experienced directly the event that became the focus of research, able to retell the events that have been experienced, and willing to be a research user who get the conclusion that it needs a system to manage customer data, conduct promotional activities and see the growth of customers online. The data collection techniques in this study use observation methods and library studies. From the results of the research that has been implemented to implement the results of the research into the loyalty program information system in the software product sales service at the point of sales of PT. XYZ in the form of a website to manage customer data by the marketing and Android applications section for customers.

VSocial: a cloud-based system for social virtual reality learning environment applications in special education

Virtual Learning Environments (VLEs) are spaces designed to educate student groups remotely via online platforms. Although traditional VLEs have shown promise in educating students, they offer limited immersion that overall diminishes learning effectiveness. In this paper, we describe vSocial, a cloud-based virtual reality learning environment (VRLE) system that can be deployed over high-speed networks using the High Fidelity “social VR” platform. vSocial provides flexible control of group learning content and compliance with established VLE standards with improved immersive user experience for both instructor(s) and students. For our vSocial development, we build upon the use case of an existing special education VLE viz., iSocial that trains youth with Autism Spectrum Disorder by implementing the Social Competence Intervention (SCI) curriculum. The vSocial can be used to: (a) implement multiple learning modules using wearable VR technologies, (b) integrate cognitive state sensing devices, and (c) organize learning session data securely using web applications hosted on cloud resources. Our experiment results show that the VR mode of content delivery in vSocial better stimulates the generalization of lessons to the real world than non-VR lessons, and provides improved immersion when compared to an equivalent desktop version. Further, usability study results show that users can successfully use the web application features in vSocial for group learning activities with ease-of-use and consistency.

Assessment and Comparison of Functionalities of Telemedical Applications

services on the Internet are modern alternative to traditional medical care supporting many functions of healthcare process. In order to improve quality and usability of upcoming tools, evaluation of existing solutions may provide valuable insight for further developments. Therefore the objective of this study was to analyze functionalities of selected telemedical applications. Our analysis provided overview of most widely- used tools and their functionalities. We discriminated three important groups of telemedical applications which were further characterized by ascribing specific functionalities considering also main and supporting role of these functionalities in each group. Our analysis resulted in extensive yet non-exhaustive list of functionalities. Based on data ontology commonly used in medical applications we distinguish three main groups of applications: Communication and social networks, Self-observation, monitoring and diagnosis, Support for medical professionals. Functional analysis for each group of medical applications was performed based on selected cases. According to the findings from our study the major criterion that allows to disentangle the heterogeneity of medical application functionalities is professionalization of the medical application. It is plausible that in future different groups of applications will become even less distinguishable due to increasing applicability of social network features in web applications but also because of increasing popularity of e- health add-ons and tools which are becoming increasingly integrated with complementary solutions. We also identified some unexplored potential of medical applications in the field of disease prevention. General Terms Information Personalization, Data modeling, Data ontology Keywordsmedical application, ontology, functionalities, disease monitoring, telecare

Web Application’s Reliability Improvement Through Architectural Patterns

Scalability and availability are two highly desirable attributes pertaining to reliability of a web application that renders state-of-the-art services to online users. In simple words scalability is the ability to grow, the ability to serve increased number of requests or clients. Building a scalable application with round the clock availability is a challenging problem in the light of ever increasing population of potential users. Dramatic increase in users to web application causes bursts of requests that put the application to acid test. On the other hand web application availability represents the degree of operational continuity. High availability and unlimited scalability are the two indispensable quality attributes a web application in the real word. These features bestow rich user experience as far as operational continuity and ability to handle growing workload are concerned. By taking server side measures it is possible to achieve these two desirable features. However, there is possibility to have architectural pattern along with underlying design patterns to promote these quality features of web application. In this paper we enhance our architectural pattern eXtensible Web Application Development Framework (XWADF) that can leverage the quality of web application design as it result in highly scalable with high availability. As the application is designed in XWADF framework it promotes scalability assuming server side supports in terms of resources. The application also ensures availability as the design supports maintenance without letting the application down. The empirical results revealed that our architectural approach increases reliability of web applications significantly in terms of availability and scalability

Discovering concrete attacks on website authorization by formal analysis

Social sign-on and social sharing are becoming an ever more popular feature of web applications. This success is largely due to the APIs and support offered by prominent social networks, such as Fa...

Concurrent programming in web applications

Abstract Modern web applications are concurrently used by many users and provide increasingly interactive features. Multi-core processors, highly distributed backend architectures, and new web technologies force a reconsideration of approaches for concurrent programming in order to fulfil scalability demands and to implement modern web application features. We provide a survey on different concepts and techniques of concurrency inside web architectures and guide through viable concurrency alternatives for architects and developers.

Discovering concrete attacks on website authorization by formal analysis1

Social sign-on and social sharing are becoming an ever more popular feature of web applications. This success is largely due to the APIs and support offered by prominent social networks, such as Facebook, Twitter and Google, on the basis of new open standards such as the OAuth 2.0 authorization protocol. A formal analysis of these protocols must account for malicious websites and common web application vulnerabilities, such as cross-site request forgery and open redirectors. We model several configurations of the OAuth 2.0 protocol in the applied pi-calculus and verify them using ProVerif. Our models rely on WebSpi, a new library for modeling web applications and web-based attackers that is designed to help discover concrete attacks on websites. To ease the task of writing formal models in our framework, we present a model extraction tool that automatically translates programs written in subsets of PHP and JavaScript to the applied pi-calculus. Our approach is validated by finding dozens of previously unknown vulnerabilities in popular websites such as Yahoo and WordPress, when they connect to social networks such as Twitter and Facebook.

A formal approach for run-time verification of web applications using scope-extended LTL

ContextIn the past decade, the World Wide Web has been subject to rapid changes. Web sites have evolved from static information pages to dynamic and service-oriented applications that are used for a broad range of activities on a daily basis. For this reason, thorough analysis and verification of Web Applications help assure the deployment of high quality applications. ObjectivesIn this paper, an approach is presented to the formal verification and validation of existing web applications. The approach consists of using execution traces of a web application to automatically generate a communicating automata model. The obtained model is used to model checking the application against predefined properties, to perform regression testing, and for documentation. MethodsTraces used in the proposed approach are collected by monitoring a web application while it is explored by a user or a program. An automata-based model is derived from the collected traces by mapping the pages of the application under test into states and the links and forms used to browse the application into transitions between the states. Properties, meanwhile, express correctness and quality requirements on web applications and might concern all states of the model; in many cases, these properties concern only a proper subset of the states, in which case the model is refined to designate the subset of the global states of interest. A related problem of property specification in Linear Temporal Logic (LTL) over only a subset of states of a system is solved by means of specialized operators that facilitate specifying properties over propositional scopes in a concise and intuitive way. Each scope constitutes a subset of states that satisfy a propositional logic formula. ResultsAn implementation of the verification approach that uses the model checker Spin is presented where an integrated toolset is developed and empirical results are shown. Also, Linear Temporal Logic is extended with propositional scopes. Conclusiona formal approach is developed to build a finite automata model tuned to features of web applications that have to be validated, while delegating the task of property verification to an existing model checker. Also, the problem of property specification in LTL over a subset of the states of a given system is addressed, and a generic and practical solution is proposed which does not require any changes in the system model by defining specialized operators in LTL using scopes.

User Interface Design, Standards & Guidelines for Web Applications Based on Human Personality Types

This paper discusses the standards and guidelines of user interface features in web-based applications for the different personality types of people. An overview of human computer interaction and human personality types is described. LEONARD, Let’s Explore our personality type based on Openness (O), Neutral (N), Analytical (A), Relational (R) and Decisive (D) is the model used to determine the different personality types for this study. The purpose is to define user personality profiles and to establish guidelines for the graphical user interface. The personality inventory and a user interface questionnaire were administered to university students. Interview sessions were also conducted and parts of the interviews with the university students were used to validate the results obtained from the questionnaires. The analysis of the students' personality types identified five main groups. The results suggest that users do have definable expectations concerning the features of web applications. This profile served as basis for the guidelines of web features for the graphical user interface design for the particular user groups.

A Method of Virtualization of Framework to aim to re-use Web Applications and Its Implementation

Recently, demands for shorter development periods through minimization of new source code by reusing web applications are required increasingly in the new development using features of web applications. In this paper, we propose a method for virtualization of framework to aim to re-use web applications and explain its implementation. Using the proposed virtualization of a framework, web applications don't inherit from template classes provided by the framework directly. Instead, web applications inherit from customized template classes that are extended template classes provided by the framework.

Reliability Evaluation of Web Applications from Click-stream Data

In the age of information and communication technology (ICT), Web and internet have brought significant changes in information technology. The dramatic change in website development and their relative usage has led to the need of Web based metrics .These metrics will accurately assess the efforts in the web based applications .So the basic idea is to identify the web metrics for evaluating reliability and maintainability of Hypermedia applications where we characterize usage and problems for web applications, evaluate their reliability and also the potential aspects for reliability assessment and improvement. Based on the characteristics of web applications and the overall web environment, we classify web problems and focus on the subset of source content problems. Using information about web accesses, we drive various measurements that can characterize web site workload at different levels of granularity .These workload measurements, together with failure information extracted from recorded errors are used to evaluate the operational reliability for source events at a given website and the potential for reliability improvement. As a result, to support this strategy or methodology we extract web usage and failure information from existing web logs. This failure information is used to measure the reliability of web applications. Hence these results obtained from the web based metrics can help us analytically identically identify the effort assessment and failure points in web based systems and make evaluation of reliability of these systems simple. The rest of the paper is organized as follows: Section 2 Analyzes the general characteristics of the Web and its reliability problems. Section 3 examines the contents of Web logs and their use in evaluating Web site workload and Web software reliability. Conclusions and perspectives are presented in Section 4.

A method for identifying Web applications

Web applications are ubiquitous in today’s businesses. The security of these applications is of utmost importance since security breaches might negatively impact good reputation, and even result in bankruptcy. There are different methods of assessing security of Web applications, mainly based on some automated method of scanning. One type of scan method feeds random data to the application and monitors its behavior. The other type uses a database with predefined vulnerabilities that are checked one by one until either a vulnerability is found, or it can be claimed that the application does not have any known vulnerabilities. The important step in latter type of scan process is the identification of the application since in this case we are narrowing number of checks and, as a consequence, the scan process is faster. This paper describes a method for Web application identification based on a black box principle. Our method is based on the invariance of certain characteristics of Web applications. We experimentally tested and confirmed the usefulness of this approach.

Adaptability and Adaptivity in The Generation of Web Applications

This article proposes a generator for adaptive Web applications called GIWA. GIWA‘s objective is to facilitate the automatic execution of the design and the generation of Adaptable Web Applications (AWA). Characteristically, the effort in this work has to be pursued with special attention to both issues applied to AWA: adaptability and adaptivity. The architecture of GIWA is based on three levels: the semantic level, the conceptual level and the generation one. Using GIWA, designers specifies, at the semantic level the features of Web application. The conceptual level focuses on the creation of diagrams in WA-UML language; the extended UML by our new concepts and new design elements for adaptation. At the generation level, GIWA acquires all information about users’ preferences and their access condition. Consequently, the generated pages are adaptable to all these information. An evaluation and a validation of GIWA are given in this article to prove our adaptation.

Extending a Conceptual Modeling Language For Adaptive Web Applications

The complexity of adaptive Web applications (AWA) is increasing almost every day. Besides impacting the implementation phase, this complexity must also be suitably managed while modeling the application. To this end, the paper proposes an approach for AWA called GIWA based on WA-UML (Web Adaptive Unified Modeling Language). This extension defines a set of stereotypes and constraints, which make possible the modeling of AWA. GIWA‘s target is to facilitate the automatic execution of the design and the automatic generation of adaptable web interface. The GIWA methodology is based on different step: requirement analysis, conceptual design, adaptation design and generation. Using GIWA, designers can specify, at a requirement analysis, the features of web application to be generated. These features are represented, at the conceptual level using WA-UML. At the adaptation level, GIWA acquires all information about users’ preferences and their access condition to be used at the generation level. The last level is based on java swing interface to instantiate models which are translated in XML files. GIWA uses then XSL files (user preferences) and RDF files (devices’ capability) to generate the HTML page corresponding to the user:

Applying static analysis for automated extraction of database interactions in web applications

Database interactions are among the most essential functional features in web applications. Therefore, for the testing and maintenance of a web application, it is important that the web engineer could identify all the database interactions in the web application. However, the highly dynamic nature of web applications makes it challenging to extract all the possible database interactions from source code. In this paper, we propose an automated approach to extract database interactions from source code by using symbolic execution and inference rules. Our approach automatically identifies all the possible database interaction points. After that, all the program paths, which pass through each interaction point, are also computed. Each of these paths is then symbolically executed following our proposed symbolic evaluation rules. We also develop inference rules to deduce the interaction types from the set of symbolic expressions derived during the symbolic execution. Experiments have been conducted to evaluate the performance and usefulness of the proposed approach. The results indicate that even with some limitations in handling function calls, pointers and polymorphism, our approach still gives an average precision of 79.2%, which is 45.4% more than that of the conservative approach.