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IntroductionVisual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imagi...

Abstract The relationship between the built environment and human emotional experience has received increasing attention in architectural and urban research. This study aims to collect fundamental background data from a ...

Abstract Oracle bone inscriptions, the earliest known form of Chinese writing, hold immense historical and linguistic significance. However, existing digital datasets are typically limited to isolated characters and lack...

Mattering is increasingly recognized as central to young people’s well-being, participation, and development. Although research links mattering to positive outcomes, less is known about how it is enacted in everyday in...

Introduction and aims: To evaluate the diagnostic and reasoning capabilities of 4 state-of-the-art large language models (LLMs) on the Korean Dental Licensing Examination (KDLE) and to assess their potential as education...

In the digital age, authentication is essential for accessing the web and mobile platforms, yet many mechanisms still overlook the accessibility challenges faced by people with disabilities. In this work, a systematic li...

Abstract Background Preoperative anxiety is common among patients undergoing elective surgery and may influence postoperative recovery. Although preoperative counseling has been shown to affect anxiety levels, the psycho...

Emphasizing the concentric relationship between the tectonics of Earth and the tectonics of architecture, this study argues that design ideas generated through this interaction have the potential to produce spatial const...

Abstract Reliable interpretation of clinical imaging requires integrating complementary evidence across modalities, yet most AI systems remain limited by single-modality analysis and poor generalization across institutio...

Abstract Contrast enhancement technique is a prevalent problem in aiding interpretation of Magnetic Resonance Imaging (MRI) images. A low contrast MRI image may prove to be problematic in identifying medical problems suc...

Abstract Background A solid understanding of anatomy is fundamental in dental education, and accurate interpretation of maxillofacial structures is essential across clinical contexts. Implantology is an example of a comp...

Abstract Art-historical research has traditionally emphasized qualitative interpretation and visual analysis, but recent advances in machine learning have enabled the quantitative examination of visual and stylistic feat...

Abstract Brucellosis is a common zoonotic disease caused by Brucella and remains a globally concerning public health issue. Timely and effective detection methods are crucial for clinical diagnosis. We developed a novel ...

Abstract Fractures are among the most common presentations to emergency and orthopedic services, yet radiograph interpretation remains inconsistent, particularly in resource-limited and off-hours settings. Weakly supervi...

In societies where social norms are still largely based on traditional gender dichotomies, non-conventional gender expressions frequently encounter rejection and stigmatization, a phenomenon observed in both real life an...

BackgroundBuilt environments shape navigation, attention, and motor control through continuous brain–body-environment coupling, yet architecture, rehabilitation, and clinical mobility practice still lack a shared quant...

Abstract Background Pediatric sepsis remains a leading cause of global mortality, necessitating early and accurate risk stratification. Traditional scoring systems often fail to capture the rapid, non-linear progression ...

The present study investigated the role of a Higher-Order Adjunct Question Package (HAQP) in supporting learners’ germane cognitive load (GCL) within digital learning environments, using two complementary indicators: a...

Abstract This paper seeks to investigate the use of Natural Language Processing techniques in analyzing the Bhagavad Gita, a fundamental text in Hindu philosophy that has stood the test of time and centuries of interpret...

Alveolar–interstitial syndrome (AIS) is a common ultrasonographic finding in dogs and cats with pulmonary pathology, including cardiogenic pulmonary edema, noncardiogenic pulmonary edema, pneumonia, acute respiratory d...

Abstract This study explores the social and perceptual impacts of urban renewal in Ningbo, China, comparing three redevelopment types: urban village redevelopment, future community construction, and old residential commu...

Abstract Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystem disease characterized by heterogeneous symptom patterns. Previous work suggested that specific symptoms tend t...

Abstract BackgroundMultimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clinical applications requiring image interpretation. Wo...

INTRODUCTION. The interpretation of visual and linguistic codes, legal and ethical security, the application of technologies such as artificial intelligence, and the need to develop regulatory standards to prevent confli...