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Impact of wearable-assisted walking on sarcopenia and body composition in older adults
CONCLUSIONS: Wearable devices, such as smartwatches and fitness trackers, provide real-time feedback and enable tailored exercise recommendations, offering a practical and personalized strategy for mitigating sarcopenia. This study confirms that wearable-assisted walking programs effectively improve muscle health and functional performance in older adults, reinforcing their potential for promoting healthy aging. →
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DeepSeek R1T2 Chimera: 200% Faster Than R1-0528 With Improved Reasoning and Compact Output
«`html DeepSeek R1T2 Chimera: 200% Faster Than R1-0528 With Improved Reasoning and Compact Output TNG Technology Consulting has unveiled DeepSeek-TNG R1T2 Chimera, a new Assembly-of-Experts (AoE) model that blends intelligence and speed through an innovative model merging strategy. Built from three high-performing parent models—R1-0528, R1, and V3-0324—R1T2 demonstrates how expert-layer interpolation at scale can unlock… →
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Building a BioCypher-Powered AI Agent for Biomedical Knowledge Graph Generation and Querying
«`html Building a BioCypher-Powered AI Agent for Biomedical Knowledge Graph Generation and Querying This tutorial implements the BioCypher AI Agent, a powerful tool designed for building, querying, and analyzing biomedical knowledge graphs using the BioCypher framework. By combining the strengths of BioCypher, a high-performance, schema-based interface for biological data integration, with the flexibility of NetworkX,… →
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Nicotine e-cigarettes for smoking cessation following discharge from smoke-free inpatient alcohol and other drug withdrawal services: a pragmatic two-arm, single-blinded, parallel-group, randomised controlled trial
BACKGROUND: Nicotine-containing electronic cigarettes (e-cigarettes) have been shown to be effective for smoking cessation among general populations, but there is little evidence in people with substance use disorders (SUDs). We aimed to assess the effectiveness of e-cigarettes for smoking abstinence in people with SUD following discharge from smoke-free inpatient withdrawal services. →
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Together AI Releases DeepSWE: A Fully Open-Source RL-Trained Coding Agent Based on Qwen3-32B and Achieves 59% on SWEBench
Together AI Releases DeepSWE: A Fully Open-Source RL-Trained Coding Agent Based on Qwen3-32B Achieving 59% on SWEBench Together AI has launched DeepSWE, a fully open-sourced software engineering agent trained using reinforcement learning (RL). This agent is built on the Qwen3-32B language model and has achieved 59% accuracy on the SWEBench-Verified benchmark, with a 42.2% Pass@1… →
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Geneva Homologous Recombination Deficiency Test Is Predictive of Survival Benefit From Olaparib and Bevacizumab Maintenance in Ovarian Cancer
CONCLUSION: The Geneva HRD test predicts PFS and OS benefit from olaparib + bevacizumab. The potential detrimental effect of olaparib + bevacizumab on OS in the HRD-negative population is hypothesis-generating and needs to be confirmed prospectively. →
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VIVALDI-CT shaping care home COVID-19 testing policy: A pragmatic cluster randomised controlled trial of asymptomatic testing compared to standard care in care home staff
CONCLUSION: This trial was not well-powered to evaluate the impact of the intervention on the primary outcome, and recorded uptake of staff testing was low. However, our pre-existing care home network underpinned by linked routinely collected data provides a model for more agile interventional studies in the care home setting. →
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Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development
«`html Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development Introduction: Reinforcement Learning Progress through Chain-of-Thought Prompting Large Language Models (LLMs) have demonstrated significant advancements in complex reasoning tasks through Chain-of-Thought (CoT) prompting combined with large-scale reinforcement learning (RL). Models such as Deepseek-R1-Zero have exhibited strong reasoning capabilities by applying RL directly to… →
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ReasonFlux-PRM: A Trajectory-Aware Reward Model Enhancing Chain-of-Thought Reasoning in LLMs
«`html Understanding the Role of Chain-of-Thought in LLMs Large language models (LLMs) are increasingly utilized to tackle complex tasks such as mathematics and scientific reasoning through structured chain-of-thought approaches. These models do not simply provide answers; they reason through intermediate steps that simulate logical thought processes. This technique enhances reasoning accuracy and facilitates clearer error… →
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Effect of the Otago Exercise Program on Activities of Daily Living in Older Adults With Sarcopenia
CONCLUSION: OEP significantly enhances activities of daily living, improves muscle strength, balance, and physical function in older adults, and is more effective than conventional rehabilitation exercise programs, making it suitable for extensive clinical application. →
