Web App Research Articles

The 2024 release of the ExoMol database: Molecular line lists for exoplanet and other hot atmospheres

The ExoMol database (www.exomol.com) provides molecular data for spectroscopic studies of hot atmospheres. These data are widely used to model atmospheres of exoplanets, cool stars and other astronomical objects, as well as a variety of terrestrial applications. The 2024 data release reports the current status of the database which contains recommended line lists for 91 molecules and 224 isotopologues giving a total of almost 1012 individual transitions. New features of the database include extensive “MARVELization” of line lists to allow them to be used for high resolutions studies, extension of several line lists to ultraviolet wavelengths, provision of photodissociation cross-sections and extended provision of broadening parameters. Some of the in-house data specifications have been rewritten in JSON and moved for conformity with other international standards. Data products, including specific heats, a database of lifetimes for plasma studies, and the ExoMolHR web app which allows exclusively high resolution data to be extracted, are discussed.

Application to combine questioning, stimulus presentation and external measurements in a real-life music eye tracking experiment

Studying people in real-life situations, such as making music in a vocal group, requires flexible and integrative measurement technology. Therefore, a digital browser-based survey instrument was developed for this study. It was designed to seamlessly introduce questions on participants' mobile devices through external control immediately after relevant events, aiming to achieve high accuracy in self-administered situational questions. In addition, chronological synchronization with supplementary measurements (here eye-tracking and audio recording) was incorporated. Digital features of this web app offer convenient integration into everyday situations, synchronous interviewing of multiple people, and gathering time-based data. Due to the numerous possibilities of the browser-based development interface, various other application areas can be opened up. The contribution of this article is:-App - explanation and offer for use-Feasibility report on the implementation of the app in an eye-tracking study with vocal groups

Diabetes Prediction Using Machine Learning and Flask

Diabetes is one of the costliest chronic diseases, it is a metabolic disorder in which a patient has excessive blood sugar levels due to the body's inability to create enough insulin, and it can also cause long-term harm to the heart, blood vessels, eyes, kidneys, and nerves. Adults with diabetes are twice as likely as non-diabetics to have a heart attack or stroke. Despite its massive impact on the global population, no kind of diabetes has a cure. Although most medications help patients manage their symptoms to some extent, diabetics nevertheless suffer several long-term health concerns. So, if we are able to predict diabetes early, we could control it and it can be done by using Machine learning techniques. Our work aim is to predict if the patient has diabetes using Machine learning techniques and the ensemble method. We will be using four algorithms which are SVM, KNN, Logistic Regression, and Random Forest classifier and we would also compare all four models to check which model is giving the best accuracy and link our best model to a web app that could predict if the patient has any chances of having diabetes.

The Role of Progressive Web Apps and WebGL in Modern Front-End Engineering

The Role of Progressive Web Apps and WebGL in Modern Front-End Engineering

Web Application Security: A Pragmatic Exposé

Many individuals, organizations, and industries rely on web applications for the daily operations of their businesses. With the increasing deployment and dependence on these applications, significant attention has been directed toward developing more accurate and secure mechanisms to safeguard them from malicious web-based attacks. The slow adoption of the latest security protocols, coupled with the utilization of inaccurate and inadequately tested security measures, has hindered the establishment of efficient and effective security measures for web apps. This article reviews recent research and their recommendations for web security over the last 4 years. It identifies code injection as one of the recent most prevalent web-based attacks. The recommendations presented in this article offer a practical guide, enabling individuals and security personnel across various industries and organizations to implement tested and proven security measures for web applications. Furthermore, it serves as a roadmap for security developers, aiding them in creating more accurate and quantifiable measures and mechanisms for web security.

Automated Pupillometry Is Able to Discriminate Patients with Acute Stroke from Healthy Subjects: An Observational, Cross-Sectional Study.

Automated pupillometry (AP) is a handheld, non-invasive tool that is able to assess pupillary light reflex dynamics and is useful for the detection of intracranial hypertension. Limited evidence is available on acute ischemic stroke (AIS) patients. The primary objective was to evaluate the ability of AP to discriminate AIS patients from healthy subjects (HS). Secondly, we aimed to compute a predictive score for AIS diagnosis based on clinical, demographic, and AP variables. We included 200 consecutive patients admitted to a comprehensive stroke center who underwent AP assessment through NPi-200 (NeurOptics®) within 72 h of stroke onset and 200 HS. The mean values of AP parameters and the absolute differences between the AP parameters of the two eyes were considered in the analyses. Predictors of stroke diagnosis were identified through univariate and multivariate logistic regressions; we then computed a nomogram based on each variable's β coefficient. Finally, we developed a web app capable of displaying the probability of stroke diagnosis based on the predictive algorithm. A high percentage of pupil constriction (CH, p < 0.001), a low constriction velocity (CV, p = 0.002), and high differences between these two parameters (p = 0.036 and p = 0.004, respectively) were independent predictors of AIS. The highest contribution in the predictive score was provided by CH, the Neurological Pupil Index, CV, and CV absolute difference, disclosing the important role of AP in the discrimination of stroke patients. The results of our study suggest that AP parameters, and in particular, those concerning pupillary constriction, may be useful for the early diagnosis of AIS.

Reviving Aquileia's late antique walls: A comprehensive Extended Matrix workflow case study

This contribution aims to provide an overview of a virtual reconstruction case study, focusing on the late antique walls of Aquileia M2, applying the Extended Matrix methodology and its associated workflow. Specifically, we will consider virtual reconstructions in archaeological practice and address their scientific challenges. The report will address the issue of their scientific mapping, briefly touching on existing methods before delving into the details of the Extended Matrix, the chosen methodology for the project. The theoretical foundations and open-source computer tools enabling its comprehensive application will be described. Finally, the focus will be on an illustrative case study of the complete workflow: reconstructing a portion of Aquileia's defensive wall, M2. Following essential historical-archaeological contextualization, the research results leading to the reconstruction hypothesis will be presented, along with some steps to achieve the final model, its visualization through a web app, and potential future development scenarios.

Development of Learning Videos on Petroleum Materials Using Dora Toon Web Apps for Class XI High School Students

Many students have difficulty understanding chemistry concepts due to limited learning resources such as textbooks and traditional lectures. This research proposes making videos using Dora Toon, an audiovisual web platform specifically for petroleum materials. This project aims to assess video quality through evaluation by research subjects (material experts, media, chemistry educators, and 10 class XI high school students). With a research and development approach, the model used is 4D (define, design, development, disseminate) with a focus on the disseminate stage. The definition stage includes analysis of the front-end, students, concepts, tasks, and learning objectives. The design stages include selecting media format, collecting references, creating initial designs, and making instruments. The development stage includes video production, validation tests on research subjects. Sampling used purposive sampling technique, data collection used a validation questionnaire, and analyzed descriptively in percentages. At the disseminate stage, the product can be distributed to the wider community. However, this stage was not carried out due to time constraints. This results in HD resolution that is easy to use. It produces HD (1280x720p) resolution MP4 videos that are easy to use and contain petroleum ingredients. The evaluation results were very positive. The material expert gave a score of 95% (very good), the media expert gave a score of 95% (very good), the chemistry teacher gave a score of 86.06% (very good), and the students answered positively 100%. These findings indicate that animated videos can be an alternative learning tool for teaching petroleum chemistry in the classroom

FPAS Model: A Case Study of Flood Prediction and Advisory System

The increasing frequency of flood events worldwide is a significant concern, particularly for the United Nations (UN), as it impacts both economic stability and public safety. In recent decades, floods have caused extensive damage to lives and properties, and projections indicate this trend will continue. Rapid evacuation in the event of a flood relies on effective early warning systems that can predict floods and encourage residents to evacuate high-risk areas. Africa is the third most affected continent by floods, following Asia and Europe. However, the development and implementation of flood forecasting models in Africa are still in the early stages. The continent has only a few hydrological models for flood forecasting, and most of these need improvements to keep pace with changing conditions. The study aimed to enhance flood prediction and advisory systems by leveraging machine learning (ML). The objectives are to develop a predictive model, create dual subsystems for web and Android applications, disseminate predictions and advisories through multiple communication channels, and incorporate persuasive messages to prompt at-risk populations to evacuate. A survey was conducted in Cross River State to evaluate the impact of these persuasive messages and the overall support for the Flood Predictive and Advisory System (FPAS). The study utilized the NiMet dataset, preprocessed the data, and trained the model using SVM, Random Forest, and XGBoost algorithms. Subsequently, both the FPAS web and Android applications were developed and rigorously tested. The research methodology applied in this work was a hybrid approach, combining Object Oriented Analysis and Design Methodology (OOADM) and the Cross Industry Standard Process for Data Mining (CRISP-DM). OOADM was used to develop the mobile app for citizens’ registration and a web app for administrative activities, while CRISP-DM was used to create a data-drive predictive model for the app. These applications facilitated citizen registration and administrative activities, providing feedback via websites, emails, and automated alerts. The survey results revealed that 76.56% of respondents had not experienced persuasive messages before, while 91.15% expressed strong support for the FPAS system incorporating these techniques. Finally, the study successfully developed an advanced flood prediction model and an integrated advisory system, demonstrating significant potential in enhancing disaster preparedness and response through innovative technology and strategic communication.

Exploring the Importance of Fiori in Application Development

Fiori web apps represent the blend of beauty and practicality reshaping user experiences in the era. Stemming from SAPs dedication to user design Fiori apps focus on simplicity, ease of use and responsiveness. By emphasizing role interactions they deliver personalized experiences catered to users requirements. Using web technologies Fiori apps enable users to seamlessly access business functions and insights enhancing efficiency and fostering innovation. Covering a range of business operations they streamline processes. Enhance decision making. Through their design and smooth operation Fiori apps pave the way, for a phase of enterprise software that harmoniously combines usability, with functionality. Index Terms—Fiori apps, design principles, sap ux strategy and the sap fiori ux

The Implementation of PWA (Progressive Web App) Technology in Enhancing Website Performance &amp; Mobile Accessibility

The implementation of PWA as a necessary feature aims to provide added value and enhance website performance. This is intended to address several common issues in websites, such as limitations in displaying pages offline and the cost of developing native applications across various operating system platforms, both for desktop and mobile devices. Data collection methods involve literature studies and direct measurements using various tools. Testing conducted includes installation testing, evaluation of PWA criteria, performance, size of transferred resources, and offline mode. Components used in PWA include the web app manifest, service worker, and cache storage. PWA implementation involves creating a web app manifest, service worker registration, service worker configuration, adding script tags, creating specific routes within the website using Express.js, and PWA testing. Test results indicate that the website can be installed and used effectively on various types of devices, both mobile and desktop, and can be accessed in offline mode or with unstable connections.

Geometric construction of relativistic and non-relativistic distortion

To an observer moving through a scene with a relativistic velocity, the scene appears distorted. Here we present a simple geometric interpretation of this relativistic distortion. This interpretation is exact for pinhole cameras whose shutter coincides with the pinhole, and it can easily be modified to take into account time-of-flight effects only that lead to a “non-relativistic distortion,” allowing a separation of the relativistic distortion into time-of-flight effects and “truly relativistic” effects. We make use of our construction in Einstagram, a web app designed for running on mobile devices that displays the video streams from the device cameras, relativistically or non-relativistically distorted for an arbitrary, user-defined, observer velocity. Our work facilitates an intuitive understanding of relativistic distortion.

Progressive Web Apps in Cross-Platform Development: A Comparative Analysis and Evaluation

The evolution of app development methodologies has been significant, yet the discussion around cross-platform development remains pertinent. Apps must seamlessly function on both Android and iOS devices, accommodating diverse hardware configurations and platform versions. The proliferation of device categories beyond smartphones and tablets adds further complexity to achieving multi-platform compatibility. Despite the presence of multi-platform frameworks supported by both practical application and research, the challenge of efficiently developing apps for various targets persists. Progressive Web Apps (PWAs) potentially offer a solution to this ongoing quest for unifying technology. This paper aims to evaluate the role of PWAs in multi-platform development, exploring their foundational aspects and assessing the current landscape of possibilities. The evaluation includes a comparative analysis conducted in two phases. In the first phase, the different application development paradigms are analyzed with their advantages and disadvantages. In the second phase, the PWAs are compared to native and cross-hybrid apps based on launch time, installation size, and Largest Contentful Paint (LCP), with PWAs outperforming in all three metrics. By examining these aspects, the paper seeks to provide a complete understanding of PWAs' potential in cross-platform development. Key Words: Progressive Web Apps, Cross-Platform Development, App Development, Web Application, Multi-Platform Compatibility, Frameworks, Comparative Analysis, Performance Evaluation, Technology Unification, Mobile Devices, Android, iOS

Real Time Sign Language Translator Using Machine Learning

In today's interconnected world, effective communication is fundamental. For the deaf and mute community, communicating with those who don't understand sign language is challenging. To bridge this gap, we propose a web app translating sign language into spoken or written language and vice versa. Users capture gestures with a camera, and our system, powered by Tensor Flow and advanced image processing, converts them into coherent text. Supporting various sign languages and spoken languages, it enables real-time two-way communication. This innovative solution fosters inclusivity by empowering meaningful interactions between the deaf and mute community and the general population, promoting understanding and integration.

Development of a web-based patient decision aid for myopia laser correction method

BackgroundIn the context of healthcare centered on the patient, Patient Decision Aids (PtDAs) acts as an essential instrument, promoting shared decision-making (SDM). Considering the prevalent occurrence of myopia, the objective of this study is to furnish exhaustive and easily comprehensible information to assist patients in making well-informed decisions about their options for myopia laser correction.MethodThe research team developed a decision guide for myopia patients considering laser correction, aiming to facilitate informed decisions. The study followed the first four stages of the IPDAS process model: “scope/scoping,” “design,” “prototype development,” and “alpha testing.” Ten semi-structured interviews with patients (n = 6) and corneal specialist ophthalmologists (n = 4) were conducted to understand the challenges in selecting a laser correction method. Online meetings with 4 corneal specialists were held to discuss challenging cases. A comparison table of harms and benefits was created. The initial prototype was developed and uploaded on the internet portal. User feedback on software and text aspects was incorporated into the final web software, which was reviewed by a health education expert for user-friendliness and effectiveness.ResultEducational needs assessment revealed concerns such as pain, daily life activities, return to work, the potential need for glasses (‘number return’), eye prescription stability, and possible complications. These shaped the decision aid tool’s content. Expert consensus was achieved in several areas, with some items added or extended. In areas lacking consensus, comments were added for clarity. Five clients assessed the web app (PDAIN), rating it 46/50 in user-centricity, 47/50 in usability, and 45/50 in accuracy and reliability, totaling 138/150. Post-piloting, software errors were documented and rectified. During the trial phase, five myopic users interacted with the software, leading to modifications. User feedback indicated the tool effectively enhanced understanding and influenced decision-making.ConclusionPDAIN, serves as a facilitative tool in the process of selecting a corneal laser correction method for myopic patients. It enabling Nearsighted patients to make informed decisions.

MetaboReport: from metabolomics data analysis to comprehensive reporting.

Metabolomics, as an essential tool in systems biology, is now widely accessible to researchers of all levels. Yet challenges remain in data analysis and result interpretation. To address these challenges, we introduced MetaboReport, a versatile and interactive web app that simplifies metabolomics experiment design, data preprocessing, exploration, statistical analysis, visualization, and reporting. MetaboReport produces a comprehensive HTML report, including project details, an introduction, interactive plots and tables, statistical results and an in-depth explanations and interpretation of the results. MetaboReport is particularly tailored for research labs and metabolomics core facilities that provide metabolomics services, allowing them to efficiently manage and document different metabolomics projects, and effectively report the metabolomics results to users. MetaboReport is freely accessible on https://metaboreport.com, with source code available on GitHub (https://github.com/YonghuiDong/MetReport). Alternatively, users can install MetaboReport as a standalone desktop app (https://metaboreport.sourceforge.io).

WEB COMMUNICATION: IMPLEMENTING A RESTFUL WEB API IN C# .NET 8 USING CLEAN ARCHITECTURE

Web communication technology forms today a crucial component of web- and cloud-based information processing. One of the key approaches in this area is REST (Fielding, 2000), which today coexists with other technologies, in particular GraphQL and gRPC. In this paper we focus on implementing REST-based web communication components using the latest version of C#/.NET SDK (.NET 8 LTS, released on 14.11.2023). In the first part, we discuss the concept of a RESTful network architecture and summarize the features which allow to define the communication style as RESTful. Next sections focus on C# implementation patterns specific for .NET such as minimal Web API and API controllers. Finally, a standardized approach for web API implementation in .NET based on Clean Architecture is discussed and tested. One of the main conclusions from this work is that the latest version of C#/.NET provides an attractive toolset for development of RESTful communication architectures, as it allows for efficient and well-structured implementation.

Effectiveness of telerehabilitation on pain and function in musculoskeletal disorders: A systematic review of randomized controlled trials

AbstractIntroductionMusculoskeletal disorders are common, causing high hospital and healthcare utilisation. Telerehabilitation (TR) is a new strategy to deliver treatment remotely to patients in their own homes, with lower costs and easier accessibility. This study investigated the effectiveness of TR on pain and function in musculoskeletal disorders.MethodsA literature search of randomised controlled trials (RCTs) in the Medline/PubMed, Cochrane Library, and PEDro databases was conducted by two reviewers on 10 Jan 2023. We included studies that investigated pain and function with TR compared with a control group in any musculoskeletal disorders. The data synthesis included the TR platforms and measured outcomes. Effectiveness was measured based on the pain and function results. The study methodological quality was assessed by the PEDro scale for RCTs.ResultsAfter removing duplicated and irrelevant studies, 200 were initially identified. This review includes seven RCTs of a total of 183 participants with musculoskeletal conditions such as low back pain, fibromyalgia, total knee arthroplasty, shoulder subacromial decompression, knee osteoarthritis, and rotator cuff syndrome. The TR platforms used were smartphone and web apps, video, phone calls, and teleconference sessions. The findings showed no significant differences between the TR and control groups in pain and function. TR showed better improvement with a significant short‐term difference in some variables, but this was not sustained in the long term.ConclusionTR was comparably effective to clinic‐based rehabilitation for treating musculoskeletal disorders. However, it was not superior to conventional rehabilitation. TR showed lower costs and a high level of adherence. We recommend implementing new TR tools to remotely treat patients.Systematic Review RegistrationPROSPERO Registration Number CRD42022375048.

ATTACHING FUTURE PRIMARY EDUCATION TEACHERS TO NATIONAL VALUES THROUGH MOBILE CONTENT

The article discusses the issue of instilling national values in future primary school teachers through mobile content. Foreign experience in using mobile content is analyzed. The meaning of the concept of mobile content is revealed, its definition is given, its effectiveness and capabilities are revealed. Covers native apps, hybrid apps, web apps, mobile images, mobile music, mobile video. In order to determine the effectiveness of teaching future primary school teachers to national values through mobile content, a establishing, formative experiment was conducted. Questionnaires and open testing of students were organized. Based on the results of the survey and open testing, the educational level of future primary school teachers in national values was determined, effective forms of instilling in them national values, as well as the content of mobile content “Ulttyq kazyna” were identified. The results were checked using a ratio scale, the mathematical method of Pearson's t-test and displayed using a histogram, polygon, diagram, table.

Web API Recommendation via Combining Adaptive Multichannel Graph Representation and xDeepFM Quality Prediction

Web API Recommendation via Combining Adaptive Multichannel Graph Representation and xDeepFM Quality Prediction