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Optimizing Reasoning Performance: A Comprehensive Analysis of Inference-Time Scaling Methods in Language Models…
Optimizing Reasoning Performance: A Comprehensive Analysis of Inference-Time Scaling Methods in Language Models Language models have shown great capabilities across various tasks. However, complex reasoning remains challenging as it often requires additional computational resources and specialized techniques. This challenge has motivated the development of inference-time compute (ITC) scaling methods, which allocate additional computational resources to… →
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Sberbank Assistant vs Alibaba AI: Personal Finance AI for Product Managers
Sberbank Virtual Assistant for finance drives personalized banking services like loan recommendations increasing cross-selling Automating routine inquiries cuts call center costs by 25% Equivalent products from the list include Alibaba Cloud AI or Baidu AI →
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A Cluster Randomized Controlled Trial Comparing the Efficacy of Pre-School Language Interventions-Building Early Sentences Therapy and an Adapted Derbyshire Language Scheme
CONCLUSIONS: A low-dosage intervention can produce language gains with moderate to large effects. The accelerated progress after the BEST intervention underscores the significant potential of interventions designed with reference to usage-based theory, which precisely manipulates language exposure to promote the specific cognitive mechanisms hypothesized to promote language learning. →
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Dark Chocolate Mitigates Premenstrual Performance Impairments and Muscle Soreness in Female CrossFit() Athletes: Evidence from a Menstrual-Phase-Specific Trial
Background: Hormonal fluctuations across the menstrual cycle can significantly impair physical performance, neuromuscular function, and cognitive processing in female athletes, particularly during the premenstrual phase. Emerging evidence suggests that dark chocolate (DC), rich in flavonoids, polyphenols, magnesium, and theobromine, may exert anti-inflammatory, analgesic, and neuroprotective effects. This study investigated the acute effects of 85% DC… →
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Gain-Framed Text Messages and Nicotine Replacement Therapy for Smoking Cessation Among Lung Cancer Screening Patients: A Brief Report of a Pilot Randomized Controlled Trial
People who undergo lung cancer screening (LCS) and continue to smoke are at risk for negative clinical outcomes and lowered survival and need effective smoking cessation interventions. This pilot study tested an 8-week intervention for smoking cessation after LCS. The participants (N = 40) were randomized to the intervention group (combination nicotine replacement therapy [NRT]… →
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Internet-Based Psycho-Physical Exercise Intervention Program in Mild-to-Moderate Depression: The Study Protocol of the SONRIE Randomized Controlled Trial
The COVID-19 pandemic has intensified depression due to isolation and reduced physical activity, highlighting the need for accessible remote treatments. The SONRIE study evaluates the effectiveness of a 12-week online intervention combining physical exercise and internet-based cognitive-behavioral therapy on depressive symptoms in adults with mild-to-moderate depression. This randomized controlled trial involved 80 adults aged 25-65… →
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Application value of fibro-bronchoscopic cryosurgery combined with medication in the treatment of tracheobronchial tuberculosis
CONCLUSION: The application of fibro-bronchoscopic cryosurgery combined with topical administration on the basis of conventional anti-TB treatment can improve the clinical efficacy of TBTB patients and shorten the duration of treatment without increasing the incidence of adverse reactions. →
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Initial Psychometric Evaluation of the Barth Syndrome Symptom Assessment (BTHS-SA) for Adolescents and Adults in a Phase 2 Clinical Study
CONCLUSION: Though the small sample size limits strong conclusions, this analysis suggests the BTHS-SA can produce reliable scores upon which valid inferences may be drawn. The BTHS-SA may be a useful tool to evaluate treatment benefits in this underserved population. →
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A Coding Implementation with Arcad: Integrating Gemini Developer API Tools into LangGraph Agents for Autonomous AI Workflows…
A Coding Implementation with Arcad: Integrating Gemini Developer API Tools into LangGraph Agents for Autonomous AI Workflows transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping and search, as well as specialized APIs for finance, maps, and more. In this tutorial,… →
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LLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce SocioVerse, an LLM-Agent-Driven World Model…
LLMs Can Now Simulate Massive Societies: Researchers from Fudan University Introduce SocioVerse, an LLM-Agent-Driven World Model for Social Simulation with a User Pool of 10 Million Real Individuals Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element. Traditional methodologies like surveys, interviews, and observations… →
