BACKGROUND: The integration of artificial intelligence (AI) in health care has significant potential, yet its acceptance by health care professionals (HCPs) is essential for successful implementation. Understanding HCPs' perspectives on the explainab... read more
Textual Attribute Graphs (TAGs) are critical for modeling complex networks
like citation networks, but effective node classification remains challenging
due to difficulties in integrating rich semantics from text with structural
graph information. ... read more
Laravel has emerged as a foundational framework in university web development
curricula. However, despite its scaffolding capabilities, students often
struggle to complete projects within limited academic timelines. This
conceptual paper introduces... read more
Multistage transistor amplifiers can be effectively modeled as network of
dynamic systems where individual amplifier stages interact through couplings
that are dynamic in nature. Using circuit analysis techniques, we show that a
large class of tran... read more
Epigenetic mechanisms play a crucial role in driving transcript expression and shaping the phenotypic plasticity of glioblastoma stem cells (GSCs), contributing to tumor heterogeneity and therapeutic resistance. These mechanisms dynamically regulate ... read more
Large language models (LLMs), a significant development in artificial intelligence (AI), are continuing to demonstrate seminal improvement in performance for various text analysis and generation tasks. There are limited systematic studies on LLM appl... read more
Solar greenhouse is a primary agricultural facility in northern China during winter, providing a certain level of security for the demand for vegetables and melons in the northern regions. However, there remains a lack of uniformity between crop requ... read more
This work proposes a new hybrid model for joint indoor localization and activity recognition by combining a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model with a Markov Random Field (MRF) for better classification. The CNN-GRU succ... read more
Accurate and reliable skeletal motion tracking is essential for rehabilitation monitoring, enabling objective assessment of patient progress and facilitating telerehabilitation applications. Traditional marker-based motion capture systems, while high... read more
Calculating instantaneous centers of rotation to describe combined rotational and translational motions has a long history in many fields of applied science and basic rigid body kinematics. However, only some theoretical studies have explored the fun... read more
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