Top Research Papers on Web Development

An idea about current healthcare system in India is given about previous projects on current primary health care system and some information describes about global work done on Electronic Medical Records generates with cloud-based system.

Diabetes is a very common disease affecting individuals worldwide. Diabetes increases the risk of long-term complications including heart disease, and kidney failure among others. People might live longer and lead healthier lives if this disease is detected early. Different supervised machine learning models trained with appropriate datasets can aid in diagnosing the diabetes at the primary stage. The goal of this work is to find effective machine-learning-based classifier models for detecting diabetes in individuals utilizing clinical data. The machine learning algorithms to be trained with s...

A correlation graph-based approach for personalized and compatible Web APIs recommendation in mobile APP development is proposed and the feasibility of this proposed recommendation approach is proved.

A registration-free web-based survival analysis tool capable of performing univariate and multivariate Cox proportional hazards survival analysis using data generated by genomic, transcriptomic, proteomic, or metabolomic studies is introduced.

WAR (Web APIs Recommendation), the first data-driven approach for web APIs recommendation that integrates web API discovery, verification and selection operations based on keywords search over the web API correlation graph, is proposed.

IMGT®, the international ImMunoGeneTics information system®, http://www.imgt.org/, is at the forefront of the immunogenetics and immunoinformatics fields with more than 30 years of experience. IMGT® makes available databases and tools to the scientific community pertaining to the adaptive immune response, based on the IMGT-ONTOLOGY. We focus on the recent features of the IMGT® databases, tools, reference directories and web resources, within the three main axes of IMGT® research and development. Axis I consists in understanding the adaptive immune response, by deciphering the identification an...

This comprehensive bibliometric study summarized and visualized 55 years of mindfulness research, revealing pivotal points, active research areas, and emerging trends.

The results show that all explanation types were viewed by students and that the majority of students perceived the code explanations as helpful to them, however, student engagement varied by code snippet complexity, explanation type, and code snippet length.

It is concluded that a web-survey might be a feasible and good alternative in surveys targeting people in the retirement age range, however, without offering a paper-questionnaire, a small but important group will likely be missing with potential biased estimates as the result.

This work found that the MGEs were seemingly conserved according to multilocus ST and not restricted to either the host or the country of origin, and identified putative translocatable units for specific aminoglycoside, sulphonamide and tetracycline genes.

In this paper, we present a large-scale characterization of the Manosphere, a conglomerate of Web-based misogynist movements roughly focused on "men's issues," which has seen significant growth over the past years. We do so by gathering and analyzing 28.8M posts from 6 forums and 51 subreddits. Overall, we paint a comprehensive picture of the evolution of the Manosphere on the Web, showing the links between its different communities over the years. We find that milder and older communities, such as Pick Up Artists and Men's Rights Activists, are giving way to more extremist ones like Incels an...

While in its early stages, research on Internet-based survey methodology has identified a number of factors that influence data quality, several studies have found Internet surveys have significantly lower response rates than comparable mailed surveys.

The triumphs and challenges of two decades of Semantic Web research and applications are traced, with a focus on artificial intelligence and machine learning.

Food webs are a major focus and organizing theme of ecology, but the data used to assemble them are deficient. Early debates over food-web data focused on taxonomic resolution and completeness, lack of which had produced spurious inferences. Recent data are widely believed to be much better and are used extensively in theoretical and meta-analytic research on network ecology. Confidence in these data rests on the assumptions ( a) that empiricists correctly identified consumers and their foods and ( b) that sampling methods were adequate to detect a near-comprehensive fraction of the trophic in...

It is shown that properly filtered and deduplicated web data alone can lead to powerful models; even significantly outperforming models from the state-of-the-art trained on The Pile.

MOTIVATION: Molecular docking is a computational technique for predicting how a small molecule might bind a macromolecular target. Among docking programs, AutoDock Vina is particularly popular. Like many docking programs, Vina requires users to download/install an executable file and to run that file from a command-line interface. Choosing proper configuration parameters and analyzing Vina output is also sometimes challenging. These issues are particularly problematic for students and novice researchers. RESULTS: We created Webina, a new version of Vina, to address these challenges. Webina run...

The proliferation of diverse digital gadgets has transformed the panorama of internet surfing, necessitating a paradigm shift in internet design strategies. This research paper delves into the realm of responsive net layout, focusing on the symbiotic courting among HTML and CSS in creating adaptable and person-friendly interfaces throughout numerous screen sizes and gadgets. By investigating the ideas, strategies, and excellent practices associated with responsive design, this study targets to elucidate the evolving function of HTML and CSS in addressing the demanding situations posed by the d...

Wikidata has grown to a knowledge graph with an impressive size. To date, it\ncontains more than 17 billion triples collecting information about people,\nplaces, films, stars, publications, proteins, and many more. On the other side,\nmost of the information on the Web is not published in highly structured data\nrepositories like Wikidata, but rather as unstructured and semi-structured\ncontent, more concretely in HTML pages containing text and tables. Finding,\nmonitoring, and organizing this data in a knowledge graph is requiring\nconsiderable work from human editors. The volume and complexi...

International audience

Methods to create the largest publicly available parallel corpora by crawling the web, using open source software are reported on and the quality and their usefulness to create machine translation systems are evaluated.