SinoXivIndia’s school education system revolves around the National Council of Educational Research and Training (NCERT) textbooks, yet the research community has largely overlooked them as a source for stru...
This study develops and examines a sociotechnical framework for digital government implementation, focusing on how technical, organisational, and institutional conditions shape implementation outcomes...
This paper proposes a novel deep learning model named RTEU-Transformers (Residual Temporal Enhancement Unit) for abstractive text summarization, specifically applied to the Samsum dataset, which consi...
The global educational crisis poses persistent challenges to students' deep learning. To uncover the intrinsic mechanisms of post-crisis learning recovery, this study integrates Self-Determination The...
Karst collapse has the characteristics of abruptness and concealment, which poses significant threats to infrastructure stability. To study the deformation control of geogrid-reinforced karst foundati...
This study addresses the complex structural controls and heterogeneous fracture networks inherent in the fractured basement reservoirs of the Cuu Long Basin. We implemented an Improved Halo Model (IHM...
This paper proposes a phenomenological model based on the resonant coupling of a local spacetime field, aiming to provide a unified explanation for the observed, unexpected residual velocity deviation...
Data heterogeneity remains one of the most significant challenges in federated learning (FL), impacting model performance, convergence, and scalability. This issue is especially critical in healthcare...
As Large Language Models (LLMs) are increasingly deployed in autonomous, high-stakes environments, the fragility of current Reinforcement Learning from Human Feedback (RLHF) alignment protocols remain...
Mobile health (mHealth) recommender systems for physical activity increasingly employ sophisticated personalization, yet few integrate clinical-guideline-grounded user modeling, explainability, and fa...
