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The modern technology is the practical application of scientific knowledge, whether in industry or daily life, for goals or purposes. More quickly than any other technological advancement in human history, digital technologies have advanced. The technology sector is expanding and provides both new educational opportunities and innovative, exciting products. Right now, one of the most widely used and fascinating technologies is the web browser. This article introduced the novel concepts of complex spherical fuzzy soft relations (CSFSRs) by using the Cartesian Product (CP) of two complex spherical fuzzy soft sets (CSFSSs). Additionally, examples are used to clarify various types of relations. Because it discusses all levels of membership, abstinence, and non-membership with multidimensional variables, the CSFSRs have a detailed structure. The CSFSR-based modelling tools developed in this research, which primarily rely on the score function, can be used to choose the best Web browser. The transaction could be as easy as users sharing records via a functional web browser. Finally, the advantages of this suggested structure are illustrated by contrasting it with alternative structures.
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http://dx.doi.org/10.1038/s41598-024-53783-w | DOI Listing |
J Glaucoma
September 2025
Department of Ophthalmology, Kurashiki Medical Center, Kurashiki, Okayama, Japan.
Prcis: Protocol 30-2 of Melbourne Rapid Fields, online computer perimetry, provides a portable, reliable, and patient-friendly alternative to Humphrey Field Analyzer 30-2 SITA fast protocol for Japanese all severity stages of glaucoma patients.
Purpose: Melbourne Rapid Fields (MRF) online computer perimetry is a web-browser-based software that offers white-on-white threshold perimetry using any computer. This study evaluates the perimetric results of 30-2 protocol from MRF performed using a laptop computer in comparison to Humphrey Field Analyzer (HFA).
Stud Health Technol Inform
September 2025
Dept. of Medical Bioinformatics, University Medical Center Göttingen, Germany.
Introduction: Machine learning (ML) and deep learning (DL) models in healthcare traditionally rely on server-centric architectures, where sensitive patient data is transmitted to external servers for processing via frameworks like Flask, raising significant privacy concerns. This work demonstrates a privacy-preserving approach by executing healthcare prediction models entirely within the web browser.
Methods: Our approach leverages existing browser-based machine learning and deep learning technologies such as TensorFlow.
Bioinformatics
September 2025
European Bioinformatics Institute, European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.
Summary: Computational models in biology can increase our understanding of biological systems, be used to answer research questions, and make predictions. Accessibility and reusability of computational models is limited and often restricted to experts in programming and mathematics. This is due to the need to implement entire models and solvers from the mathematical notation models are normally presented as.
View Article and Find Full Text PDFEur Arch Psychiatry Clin Neurosci
August 2025
Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, TUM University Hospital, Munich, Germany.
Background: Despite the proven efficacy of antipsychotics in relapse prevention in schizophrenia and schizoaffective disorder, every third patient experiences a relapse within less than one year. Relapses can worsen psychosocial and treatment related outcomes and lead to substantial economic costs, primarily due to frequent and prolonged hospitalizations. The aim of this project is to evaluate a smartphone- and web-based digital solution for detecting early warning signs of schizophrenia and schizoaffective disorder to reduce relapses and subsequent hospitalizations.
View Article and Find Full Text PDFBMJ Open
August 2025
Queensland Aphasia Research Centre, The University of Queensland, Herston, Queensland, Australia.
Introduction: Aphasia is a language impairment that affects one-third of people who experience a stroke. Aphasia can impact all facets of language: speaking, understanding, reading and writing. Around 60% of people with aphasia have persistent language impairments 1 year after their stroke, requiring ongoing healthcare and support.
View Article and Find Full Text PDF