Web Service Applications Research Articles

Building a community-driven bioinformatics platform to facilitate Cannabis sativa multi-omics research.

The web portal can be accessed at www.icgrc.info.

Paradoxical intention as a treatment for insomnia disorder: study protocol for a mixed-methods pilot trial

IntroductionParadoxical intention (PI) is an insomnia treatment developed in the 1970s, which instructs patients to gently attempt to remain awake while in bed at night with the lights off. Previous...

CannSeek? Yes we Can! Anopen-source single nucleotide polymorphism database and analysis portal for Cannabis sativa.

The CannSeek portal is available at https://icgrc.info/cannseek, https://icgrc.info/genotype_viewer.

CBioProfiler: A Web and Standalone Pipeline for Cancer Biomarker and Subtype Characterization.

Cancer is a leading cause of death worldwide, and the identification of biomarkers and subtypes that can predict the long-term survival of cancer patients is essential for their risk stratification, treatment, and prognosis. However, there are currently no standardized tools for exploring cancer biomarkers or subtypes. In this study, we introduced Cancer Biomarker and subtype Profiler (CBioProfiler), a web server and standalone application that includes two pipelines for analyzing cancer biomarkers and subtypes. The cancer biomarker pipeline consists of five modules for identifying and annotating cancer survival-related biomarkers using multiple survival-related machine learning algorithms. The cancer subtype pipeline includes three modules for data preprocessing, subtype identification using multiple unsupervised machine learning methods, and subtype evaluation and validation. CBioProfiler also includes CuratedCancerPrognosisData, a novel R package that integrates reviewed and curated gene expression and clinical data from 268 studies. These studies cover 43 common blood and solid tumors and draw upon 47,686 clinical samples. The web server is available at https://www.cbioprofiler.com/ and https://cbioprofiler.znhospital.cn/CBioProfiler/, and the standalone app and source code can be found at https://github.com/liuxiaoping2020/CBioProfiler.

Pengembangan Sistem Seleksi Proposal Penelitian Berbasis Web Service Menggunakan REST API

Web service-based application development has become a vital component of the modern in-formation technology ecosystem. The implementation of web services facilitates interoperability among diverse systems and platforms. REST API (REpresentational State Transfer Application Programming Interface) is one of the most popular architectures for creating efficient and scalable web services. This study examines the implementation of REST API in the development of web service-based applications. The case study focuses on the creation of a Web service-based Research Proposal Selection System. The REST API implementation method in this study adheres to the system development life cycle (SDLC) to ensure that the developed API meets business needs while being efficient, secure, and reliable. The analysis phase is conducted to gather both functional and non-functional REST API requirements. During the design phase, the REST API architecture is designed in detail, including how data will be transferred and processed, and how the API will interact with databases and other systems. Furthermore, in the implementation phase, the REST API is developed, ensuring that each endpoint operates correctly. In developing the Proposal Selection System, the implementation of web services integrates data from various existing sys-tems, including employee, academic, and research data. The system encompasses various features, such as proposal import, proposal mapping, proposal review, proposal assessment, proposal se-lection, and reporting. The research findings indicate that implementing the REST API simplifies the development of web service applications. The test results reveal that the average response time is relatively stable, measuring 31 ms without iterations and 29 ms with five iterations.

A Reference Paper Collection System Using Web Scraping

Collecting reference papers from the Internet is one of the most important activities for progressing research and writing papers about their results. Unfortunately, the current process using Google Scholar may not be efficient, since a lot of paper files cannot be accessed directly by the user. Even if they are accessible, their effectiveness needs to be checked manually. In this paper, we propose a reference paper collection system using web scraping to automate paper collections from websites. This system can collect or monitor data from the Internet, which is considered as the environment, using Selenium, a popular web scraping software, as the sensor; this examines the similarity against the search target by comparing the keywords using the Bert model. The Bert model is a deep learning model for natural language processing (NLP) that can understand context by analyzing the relationships between words in a sentence bidirectionally. The Python Flask is adopted at the web application server, where Angular is used for data presentations. For the evaluation, we measured the performance, investigated the accuracy, and asked members of our laboratory to use the proposed method and provide their feedback. Their results confirm the method’s effectiveness.

Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices

BackgroundThis study proposes a decision support system created in collaboration with machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The system employs an ensemble machine model and minimal corneal measurements.MethodsA clinical dataset is initially obtained from Pentacam corneal tomography imaging devices, which undergoes pre-processing and addresses imbalanced sampling through the application of an oversampling technique for minority classes. Subsequently, a combination of statistical methods, visual analysis, and expert input is employed to identify Pentacam indices most correlated with severity class labels. These selected features are then utilized to develop and validate three distinct machine learning models. The model exhibiting the most effective classification performance is integrated into a real-world web-based application and deployed on a web application server. This deployment facilitates evaluation of the proposed system, incorporating new data and considering relevant human factors related to the user experience.ResultsThe performance of the developed system is experimentally evaluated, and the results revealed an overall accuracy of 98.62%, precision of 98.70%, recall of 98.62%, F1-score of 98.66%, and F2-score of 98.64%. The application's deployment also demonstrated precise and smooth end-to-end functionality.ConclusionThe developed decision support system establishes a robust basis for subsequent assessment by ophthalmologists before potential deployment as a screening tool for keratoconus severity detection in a clinical setting.

Assessment of vulnerability of Server-side Web Application and prevention of their manifestation.

The vulnerability of the system (technological, communication) of the cyber protection object to negative technical impact is always based on the exploitation of its defects. Defect is a property of software, hardware, software-hardware or system components, which under certain conditions can lead to vulnerability. Attack – an attempt to exploit a defect(s) of the system (object of cyber protection) for the implementation of a negative technical effect (unauthorized reading/writing of data, incorrect operation, circumvention of protective mechanisms, abnormal consumption of resources; execution of imposed commands, etc.) under the manifestation of vulnerability using an exploit (exploit). The appearance of defects is inherent in all stages of the system (cyber protection object) life cycle. Thus, defects are distinguished at the design stage, implementation, adjustment during commissioning, maintenance, and completion of work. The existence of at least one defect in the components of the system, which allows a negative technical effect, makes it vulnerable. Timely detection and elimination of defects reduces the probability of system compromise using at least known exploits. The expediency, rationality and reasonableness of solutions for finding defects is based on the application of proven sources of world-class expert experience. Thus, Adversarial Tactics, Techniques & Common Knowledge defines Server-side Web Application class systems as an attractive attack target for hackers with the highest average number of potential defects in at least three components: Web Server, Web Application Server, DBMS Server. To find out the distribution of Server-side Web Application defects by characteristic classes, it is necessary to use the Open Worldwide Application Security Project, for a detailed study of them - Common Weakness Enumeration. The application of the National Vulnerability Database and Common Vulnerabilities and Exposures complements the evaluation of the found defect.

Providing the conceptual framework and architecture of spatial knowledge infrastructure (SKI) with the application of spatial web services

Providing the conceptual framework and architecture of spatial knowledge infrastructure (SKI) with the application of spatial web services

Measuring the Effects of an Anti-Food-Waste Digital Application from the Operators’ Perspective in Urban Contexts

This paper presents an empirical study focused on the use of TooGoodToGo smartphone applications by urban food retailers and HoReCa sector owners, evaluating their satisfaction levels with using this app and identifying the most relevant business levers that might convince other operators to adopt anti-waste programs and more sustainable behaviors. To this end, a survey questionnaire is administered to a sample of respondents. Data are statistically analyzed using the Kruskal–Wallis test to consider the different perspectives of the identified subsamples. The results reveal that business operators claim to have a high level of satisfaction with exploiting the service provided by the app and that it is a lever for increasing the number of customers served, even if there is not a high positive effect on revenue. However, retailers with more years of operations, who can be considered more experienced, can better exploit the opportunities of the TGTG business. This study contributes to a better understanding of the benefits of using web application services to decrease waste from urban food retailers. Consequently, levers for convincing new operators to adopt the service and their role in increasing customer awareness are identified and discussed.

Current Trends in The Formation of Mathematical Terminology on An Online Platform

To monitor quality improvement and student learning outcomes, schools must adopt a Minimum Competency Assessment (MCA). The Minimal Competence Assessment consists of two sub-tests: literacy and numeracy. This is in accordance with the provisions of the Indonesian Ministry of Education, Culture, Research and Technology in order to improve the quality of learning and student learning outcomes. The existing test method has limits with school resources that cannot satisfy the quota of pupils who can utilize the program jointly. In addition, the existing system is incapable of displaying student grades because the evaluation is a cumulative score for the whole student body. Hence, the school constructed a web service-based application utilizing the Representational State Transfer approaches so that it could independently administer complete numeracy and literacy assessments to its pupils, allowing schools to track their students' numeracy and literacy improvement. The system is constructed utilizing two distinct platforms, namely web-based apps and mobile applications based on Android. Web-based application was developed for admin and teachers while mobile application was developed for students. The findings of this study's testing indicated that the web service application performed as predicted. According to the findings of the questionnaires given to evaluate the application's usability using the Nielsen technique, teachers were happy with the application's Learnability, Memorability, Efficiency, Errors, and Satisfaction. The majority of instructors are satisfied with the implementation of this Minimum Competence Application, according to the survey findings.

The Design of Web Service-based Minimum Competency Assessment Application with the REST Method in Senior High Schools

To monitor quality improvement and student learning outcomes, schools must adopt a Minimum Competency Assessment (MCA). The Minimal Competence Assessment consists of two sub-tests: literacy and numeracy. This is in accordance with the provisions of the Indonesian Ministry of Education, Culture, Research and Technology in order to improve the quality of learning and student learning outcomes. The existing test method has limits with school resources that cannot satisfy the quota of pupils who can utilize the program jointly. In addition, the existing system is incapable of displaying student grades because the evaluation is a cumulative score for the whole student body. Hence, the school constructed a web service-based application utilizing the Representational State Transfer approaches so that it could independently administer complete numeracy and literacy assessments to its pupils, allowing schools to track their students' numeracy and literacy improvement. The system is constructed utilizing two distinct platforms, namely web-based apps and mobile applications based on Android. Web-based application was developed for admin and teachers while mobile application was developed for students. The findings of this study's testing indicated that the web service application performed as predicted. According to the findings of the questionnaires given to evaluate the application's usability using the Nielsen technique, teachers were happy with the application's Learnability, Memorability, Efficiency, Errors, and Satisfaction. The majority of instructors are satisfied with the implementation of this Minimum Competence Application, according to the survey findings.

Evaluating the effectiveness of size-limited execution trace with near-omniscient debugging

Debugging is an important task to identify the defects in the software. Especially, logging is an important feature of a software system to record runtime information. Detailed logging allows developers to collect run-time information when they cannot use an interactive debugger, such as continuous integration and web application server cases. However, extensive logging leads to larger execution traces because few instructions can be repeated many times. In our previous work, to record detailed program behavior within limited storage space constraints, we proposed near-omniscient debugging, which is a methodology that records and visualizes an execution trace using fixed size buffers for each observed instruction. In this paper, we evaluate the effectiveness of near-omniscient debugging in recording infected states while reducing the size of execution traces. We conduct experiments on the Defects4J dataset and evaluate the effectiveness based on the completeness, trace size and runtime overhead. The result shows that near-omniscient debugging can completely record infected states for nearly 80 percent of bugs (with a buffer size of 1024 events). The size of execution traces can be reduced by a factor of one thousand for large repetitive executions.

Eclipse web service application programming interface

Objective. Low-coupling seamless integration of multiple systems is the core foundation of smart radiotherapy. Following Service-Oriented Architecture style, a set of named operations (Eclipse Web Service API, EWSAPI) was developed for realizing network call of Eclipse. Approach. Under the guidance of Vertical Slice Architecture, EWSAPI was implemented in the C# language and based on ASP .Net Core 6.0. Each operation consists of three components: Request, Endpoint and Response. Depending on the function, the exchanged data for each operation, as input or output parameters, is the empty or a predefined JSON data. These operations were realized and enriched gradually, layer by layer, with reference to the clinical business classification. The business logic of each operation was developed and maintained independently. In situations where Eclipse Scripting API(ESAPI) was required, constraints of ESAPI were followed. Main results. Selected features of Eclipse TPS were encapsulated as standard web services, which can be invocated by other software through network. Several processes for data quality control and planning were encapsulated into interfaces, thereby extending the functionality of Eclipse. Currently, EWSAPI already covers testing of service interface, quality control of radiotherapy data, automation tasks for plan designing and DICOM RT files’ transmission. All the interfaces support asynchronous invocation. A separate Eclipse context will be created for each invocation, and is released in the end. Significance. EWSAPI which is a set of standard web services for calling Eclipse features through network is flexible and extensible. It is an efficient way to integration of Eclipse and other systems and will be gradually enriched with the deepening of clinical applications.

ICARUS v3, a massively scalable web server for single-cell RNA-seq analysis of millions of cells.

In recent years, improvements in throughput of single-cell RNA-seq have resulted in a significant increase in the number of cells profiled. The generation of single-cell RNA-seq datasets comprising >1 million cells is becoming increasingly common, giving rise to demands for more efficient computational workflows. We present an update to our single-cell RNA-seq analysis web server application, ICARUS (available at https://launch.icarus-scrnaseq.cloud.edu.au) that allows effective analysis of large-scale single-cell RNA-seq datasets. ICARUS v3 utilizes the geometric cell sketching method to subsample cells from the overall dataset for dimensionality reduction and clustering that can be then projected to the large dataset. We then extend this functionality to select a representative subset of cells for downstream data analysis applications including differential expression analysis, gene co-expression network construction, gene regulatory network construction, trajectory analysis, cell-cell communication inference, and cell cluster associations to GWAS traits. We demonstrate analysis of single-cell RNA-seq datasets using ICARUS v3 of 1.3 million cells completed within the hour. ICARUS is available at https://launch.icarus-scrnaseq.cloud.edu.au.

The Difficulties and Decisions of Academic Misconduct in Information Forensics–A Case Study to Cryptographer

Panda and Chattopadhyay proposed “A Hybrid Algorithm for RSA Cryptosystem” in 2017, they modified well-known algorithm RSA into modulo four prime numbers. Later, Gondaliya, Savani, Dhaduvai and Hossain proposed “Hybrid Security RSA Algorithm in Application of Web Service” in 2018. However, we found that these two papers are highly similar, and the main focus of this article is how to determine the victim the (suffer) and the perpetrator (the plagiarist).

Deploying a web service application on the EdgeX open edge server: An evaluation of its viability for IoT services

With the advent of 5G and the promise of 6G, edge computing is becoming increasingly important. Edge computing involves the proximity of computational resources to the devices and sensors responsible for data generation, reducing delay and improving real time data processing capabilities. EdgeX is an openly available framework designed for edge computing. that provides a platform for building IoT services and applications. In this paper, we evaluate the EdgeX open edge server for use in IoT services. We first deploy a web service application into the edge using a specific port, and then test the EdgeX server to see whether it can be used as a reliable and effective open-source edge server. Our results show that the EdgeX server is capable of supporting IoT services and can be used as an open-source edge server for a variety of applications. We conclude that EdgeX is a valuable resource for developing edge computing solutions, and that the open edge server can significantly contribute to the advancement of forthcoming IoT service innovations.

TridentShell: An enhanced covert and scalable backdoor injection attack on web applications

Web backdoor attack is an increasingly prevalent network attack that can result in substantial losses for webmasters. During a cyber-attack, system vulnerabilities and web application flaws are usually used to implant a web shell inside victim servers. To mitigate these threats posed by web shells, research has focused on static feature detection, which has been evolved rapidly in recent years. However, static feature detection has inherent limitations and security risks. In this paper, we present TridentShell, a novel web backdoor attack that can inject an invisible backdoor into a victim server without leaving any traces of the attack. Furthermore, TridentShell can circumvent almost all static detection methods. Unlike existing approaches, which leverage traditional encryption and obfuscation technologies to avoid detection, our proposed attack is intended to blend into the web application server naturally. In this work, we introduce enhancements to the original TridentShell, which is not traceable – in theory – since it uses a blockchain-based decentralized C&C server with better presentation capability. The experimental results show that our TridentShell can effectively compromise five different types of Java application servers (covering around 87% Java application servers in the market), and can scrub any attack traces from the server, making it especially difficult to detect.

Web Application Server for the publication of Integrative Projects of UTJ – CCD Students

The publication of WEB applications corresponds to transmitting the projects carried out by students on the Internet, in this way they can be opened from any point with access to the world wide web. This project aims to publish WEB applications developed as final projects, allowing a favorable impact on the training of students, since it will provide them with a real approach to the development of this type of technological tools in the public and private industry. Derived from the various certifications that the university undergoes, the central final project server will serve as a central repository in the evidence warehouse. Additionally, a central Web system was developed for the management of Integrative Projects carried out at the end of each period at the Technological University of Jalisco at its Ciudad Creativa Digital site, based on the software engineering process, dividing the work into phases and supported by the Scrum agile methodology for the management of each of them.

Design, Develop, Fabricate, and Statistical Quantification of Air Quality System Along with Web Application

Our Air Quality Index (AQI) measurement and analytics system is specifically designed for household, office, or single-room use, addressing concerns related to pollution's impact on respiratory health and visibility. The system incorporates dedicated sensors such as the PM Sensor (PMS5003), the ozone sensor (MQ- 131), the VOC Sensor (MP503), the CO2 Sensor (MH- Z19B), and the temperature and humidity sensor (DHT22). These sensors communicate with a web application server through the ESP8266-01 Wi-Fi module. The sensor values are displayed on a TFT (Thin Film Transistor) display, ensuring continuous monitoring with a time delay. The Arduino Pro Mini Board, powered by an FTDI (Future Technology Devices International Ltd.) chip, facilitates the sensor readings by operating on specific protocols. The ESP-01 module provides internet capability, enabling the system to host a custom web server. The sensor data is utilized to generate graphs on a dashboard, presenting the air quality information in a visually accessible manner. The displayed values are aligned with the standard guidelines set by the Central Pollution Control Board (CPCB). Moreover, the system supports historical data retrieval through integration with a PostgreSQL database, allowing users to analyze air quality trends over time. By providing real-time monitoring, comprehensive analytics, and historical data insights, our AQI measurement and analytics system empowers users to make informed decisions to improve air quality and mitigate the potential risks associated with pollution.