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Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

Abstract Objective Accurate preoperative stone size assessment is crucial for predicting outcomes after percutaneous nephrolithotomy (PCNL), yet a gap persists between the accurate but impractical gold standard (3D softw...

This article provides an in-depth analysis of how virtual and augmented reality (XR) application development has evolved since the emergence of affordable XR hardware in the mid-2010s. Based on surveying 158 XR developer...

The issue of digitalization in agriculture is becoming particularly important in connection with implementing the national project on technological provision of food security in Russia, the component of which is technolo...

Abstract This study evaluates the effectiveness of Competence-Based Training in fostering conceptual understanding, skill acquisition, and market opportunities for trainees at Nyamirama Technical Secondary School, Rwanda...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Abstract Access to large, diverse biomedical datasets is critical for advancing medical research, yet privacy regulations severely restrict data sharing. We present an end-to-end framework for privacy-preserving health d...

Abstract Modern antenna design is an intrinsic undertaking. It relies heavily on expert knowledge and computational tools, especially electromagnetic (EM) simulation software. The most daunting phase is the development o...

Introduction and aims: To investigate the differences in palatal bone thickness among adult patients with different sagittal skeletal patterns using Cone-Beam Computed Tomography (CBCT), and to analyse the safe regions f...

Abstract Background In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as t...

The study examined the computer literacy levels among extension officers employed by the Ministry of Agriculture in Botswana. The research was motivated by the growing demand for digital competence among extension worker...

Abstract Background With the widespread adoption of percutaneous coronary intervention (PCI), patients experiencing acute myocardial infarction (AMI) complicated by ventricular arrhythmia (VA) continue to encounter a sig...

Background: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasingly supporting clinical skill training and educational applications. ...

In the context of the digital transformation of science and education, the widespread adoption of generative artificial intelligence models functions both as a useful software solution that optimizes routine processes an...

Abstract Long-read transcriptome sequencing (long-RNA-seq) revolutionizes transcriptome research by enabling full-length transcript analysis for comprehensive exploration of isoform diversity. We developed IFDlong, a pro...

BackgroundThe adoption of digital technologies varies significantly across different regions, influenced by factors such as socioeconomic status, accessibility to resources, and educational opportunities. Maharashtra, on...

Abstract Background Tuberculosis remains a major public health challenge in Somalia, where a fragile health system and reliance on private providers complicate care. Although Public-Private Partnerships are globally reco...

Disease Diagnosis in crops is a very expensive and lengthy process, as it often involves the need for few experts to make observations, leading to delayed diagnosis, viral spread of diseases, and thus, massive economic l...

Abstract Localisation of surgical tools constitutes a foundational building block for computer-assisted interventional technologies. Works in this field typically focus on training deep learning models to perform segment...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Abstract The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning...

People with dementia (PwD) face cognitive decline, placing added stress on family caregivers. Challenging behaviour, such as agitation, is one of the prominent behaviours exhibited by PwD, and family caregivers are often...

Abstract Purpose MELD Graph is a state-of-the-art artificial intelligence (AI) model for automated detection of focal cortical dysplasia (FCD), but its performance remains limited, highlighting the need to investigate wh...