CONCLUSIONS: For resting heart rates below 70 bpm, our results suggest an inverse causal relationship between genetically determined resting heart rate and all-cause mortality in patients with AF&CHD. →
This study investigated the effects of training using motor imagery on balance, gait parameters, and ataxia severity in children after they underwent medulloblastoma tumour resection. Fifty participated children, aged seven-nine years and diagnosed with cerebellar ataxia after medulloblastoma resection were selected from the Tumor Hospital of Cairo University. Two groups of patients were randomly divided:… →
Video large language models (VLLMs) have emerged as transformative tools for analyzing video content. These models excel in multimodal reasoning, integrating visual and textual data to interpret and respond to complex video scenarios. Their applications range from question-answering about videos to summarization and video description. With their capacity to process large-scale inputs and provide detailed… →
The advent of LLMs has propelled advancements in AI for decades. One such advanced application of LLMs is Agents, which replicate human reasoning remarkably. An agent is a system that can perform complicated tasks by following a reasoning process similar to humans: think (solution to the problem), collect (context from past information), analyze(the situations and… →
Image and video generation has undergone a remarkable transformation, evolving from a seemingly impossible challenge to a task nearly solved by commercial tools like Stable Diffusion and Sora. This progress is largely driven by Multihead Attention (MHA) in transformer architectures, which excel in scaling capabilities. However, this advancement comes with significant computational challenges. The quadratic… →
Multimodal language models (LMMs) are a transformative technology that blends natural language processing with visual data interpretation. Their applications extend to multilingual virtual assistants, cross-cultural information retrieval, and content understanding. By combining linguistic comprehension and image analysis, LMMs promise enhanced accessibility to digital tools, especially in linguistically diverse and visually rich contexts. However, their effectiveness… →
CONCLUSIONS: MACCE and NACE rates were similar, and bleeding rates were lower with abbreviated APT in patients with or without diabetes. Therefore, diabetes status did not modify the treatment effects of abbreviated vs standard APT in HBR patients after biodegradable polymer sirolimus-eluting coronary stent implantation. (Management of High Bleeding Risk Patients Post Bioresorbable Polymer Coated… →
Transformer-based Large Language Models (LLMs) face significant challenges in efficiently processing long sequences due to the quadratic complexity of the self-attention mechanism. This will increase their computational and memory demands exponentially with sequence length, so scaling up these models to realistic applications like multi-document summarization, retrieval-based reasoning, or even fine-grained code analysis at the repository… →