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Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer, and its incidence has been increasing recently. Although the 5-year survival rate for PTC remains stable, the prognosis for medullary thyroid c...

Background HIV is a major health challenge in Kenya, where prevalence exceeds global averages. Achieving viral suppression depends on consistent adherence to antiretroviral therapy (ART), but individuals in neighbourhood...

Abstract BackgroundDepression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, ...

Multimodal data integration is increasingly central to neuroscience and perception science, where heterogeneous signals such as behavioral responses, sensory inputs, electrophysiological recordings, neuroimaging measurem...

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with strong invasiveness, limited treatment options, and poor prognosis. Its early accurate diagnosis and individualized treatment are major challenges f...

High-quality, openly accessible clinical datasets remain a significant bottleneck in advancing both research and clinical applications within medical artificial intelligence. Case reports, often rich in multimodal clinic...

IntroductionThis study investigates how multimodal metaphors convey two core Traditional Chinese Medicine (TCM) concepts— “Yin Xu” (Yin deficiency) and “Yang Xu” (Yang deficiency)—in short science communicati...

This study examines Jean de La Fontaine’s fable Le Chameau et les Bâtons Flottants from two interrelated perspectives: the verbal and the visual. Our analysis focuses on the dynamic interaction between the original te...

Farmer credit default identification in the context of inclusive finance is significantly hindered by sample scarcity, heterogeneous data sources, and the underutilization of “soft information” embedded in ...

Post-stroke cognitive impairment (PSCI) has garnered widespread attention due to its high incidence and its association with increased risk of stroke recurrence and mortality. Growing evidence indicates that early predic...

Introduction and aims: For decades, orthodontic diagnosis and treatment have primarily depended on physical models, imaging techniques, and three-dimensional (3D) imaging technologies. Nevertheless, single-modal data exh...

Communication is moving from being data-centric to being experience-centric and perception-aware with the advent of 6G wireless networks. Immersive applications such as digital twins, holographic telepresence, extended r...

Space–time prism (STP) modeling offers a theoretical base for various person-based space–time accessibility measures. It has been challenging to construct STPs in multimodal transportation networks because of the vas...

IntroductionDevelopmental Language Disorder (DLD) is a common neurodevelopmental condition that affects both the structural and pragmatic aspects of language. Conversational abilities—including topic initiation, mainte...

The provision of accurate and explainable captions and answers to visual questions about remote sensing images is essential in areas such as disaster management, land-use supervision, and military analysis, where system ...

Abstract Background Reliable identification of protein‑protein interactions (PPIs) is crucial for deciphering cellular functional networks. Current research models still face limitations in aligning heterogeneous featu...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

ObjectiveTo systematically map the evolution, academic network structure, and emergent research fronts of functional magnetic resonance imaging (fMRI) applications in prolonged disorders of consciousness (pDoC) through b...

Locomotion in animals such as fish, snakes, inchworms, and octopuses exhibits a remarkable diversity, with each species utilizing distinct body morphologies and movement strategies. Currently, no existing kinematic model...

Abstract We present a new dataset comprising radar, Electrocardiography (ECG), respiration, and inertial measurement signal recordings from 23 individuals while performing a series of simulated harmful behaviors. This da...

Combined diquat and paraquat poisoning is a rare but clinically significant form of poisoning, associated with severe oxidative stress and multiorgan failure. Historical case series have reported high case fatality, part...

In the field of autonomous vehicles (AVs), accurately discerning commander intent and executing linguistic commands within a visual context presents a significant challenge. This paper introduces a sophisticated encoder-...

Urological dysfunctions, such as post-prostatectomy urinary incontinence, chronic pelvic pain syndrome and overactive bladder, constitute a significant clinical problem in men. Pelvic floor muscle physiotherapy is curren...

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