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Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard Problems
«`html Understanding the Target Audience The target audience for this content encompasses AI researchers, data scientists, and business managers interested in the application of AI technologies, specifically in the context of reinforcement learning and language models. This group is typically characterized by the following attributes: Pain Points: Difficulty in implementing effective learning strategies for smaller… →
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Feasibility and Acceptability of a mHealth Patient Navigation Intervention to Increase Pre-Exposure Prophylaxis Uptake in Racially and Ethnically Diverse Sexual and Gender Minority Youth in Los Angeles (PrEPresent): Pilot Randomized Controlled Trial
CONCLUSIONS: PrEPresent met primary outcome measures of feasibility and acceptability. Despite this, PrEP uptake was low, and use of the platform was low compared to other HealthMpowerment projects. While mHealth offers promising HIV prevention outcomes, fostering active app engagement is crucial in promoting behavior change. Mixed success in initiating PrEP uptake across mHealth interventions involving… →
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Health effects of street vended fresh cut fruits: A randomized controlled trial in Bangladesh
Foodborne infections, particularly from street-vended fresh-cut fruits, are a growing public health concern in urban settings of developing countries. This study evaluated the gastrointestinal effects of consuming street-vended fruits in a randomized controlled trial (RCT) in Mymensingh, Bangladesh. A total of 300 participants were recruited and randomized into Treatment (n = 150) and Control (n… →
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High Loss of Adipose Tissue During Neoadjuvant Chemotherapy Predicts Poor Prognosis in Patients With Gastric Cancer
CONCLUSION: In this RCT study, patients with GC experience significant losses of muscle and adipose tissue during NAC. A high level of adipose tissue or muscle loss during NAC is prognostic of reduced survival in patients with locally advanced GC. Assessing and monitoring body composition can predict prognosis and effectively guide individual nutrition intervention and… →
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OpenAI Releases Research Preview of ‘gpt-oss-safeguard’: Two Open-Weight Reasoning Models for Safety Classification Tasks
OpenAI Releases Research Preview of ‘gpt-oss-safeguard’: Two Open-Weight Reasoning Models for Safety Classification Tasks Understanding the Target Audience The target audience for this release primarily includes: AI Developers and Researchers: They seek advanced tools for effective moderation and safety in AI applications, focusing on customization and adaptability. Business Leaders: These individuals are interested in integrating… →
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A randomized controlled trial of electronic balance assistant combined with pharmacotherapy for vestibular rehabilitation in patients with acute peripheral vestibular injury
Objective: To evaluate the effect of an electronic balance aid in balance rehabilitation training for patients with acute peripheral vestibular injury by comparing the outcomes of medication-only treatment and medication combined with vestibular rehabilitation using an electronic balance aid. Methods: This was a randomized controlled trial. The study subjects included 98 patients (40 males and… →
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Abemaciclib plus abiraterone in patients with metastatic castration-resistant prostate cancer (CYCLONE 2): a randomised, double-blind, placebo-controlled, phase 3 trial
BACKGROUND: Abemaciclib, a potent CDK4 and CDK6 inhibitor, has shown antitumour activity in prostate cancer models and in patients with metastatic castration-resistant prostate cancer (mCRPC) who have been heavily treated. We aimed to evaluate the safety and efficacy of abemaciclib in combination with abiraterone in patients with mCRPC. →
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Patritumab deruxtecan (HER3-DXd) in patients with active brain metastases of breast cancer (TUXEDO-3): a multicentre, single-arm, phase 2 trial
BACKGROUND: Patritumab deruxtecan (HER3-DXd) is a novel antibody-drug conjugate targeting HER3, which is overexpressed in CNS metastases of metastatic breast cancer. We aimed to evaluate the activity and safety of HER3-DXd in patients with metastatic breast cancer and brain metastases that are newly diagnosed or progressing after local therapy. →
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Patritumab deruxtecan (HER3-DXd) in patients with active brain metastases of non-small-cell lung cancer (TUXEDO-3): a multicentre, single-arm, phase 2 trial
BACKGROUND: Patritumab deruxtecan (HER3-DXd) is a novel antibody-drug conjugate targeting HER3, which is overexpressed in CNS metastases of advanced non-small-cell lung cancer (NSCLC). We aimed to evaluate the activity and safety of HER3-DXd in patients with advanced NSCLC and newly diagnosed brain metastases or brain metastases progressing after local therapy. →
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How to Design an Autonomous Multi-Agent Data and Infrastructure Strategy System Using Lightweight Qwen Models for Efficient Pipeline Intelligence?
How to Design an Autonomous Multi-Agent Data and Infrastructure Strategy System Using Lightweight Qwen Models for Efficient Pipeline Intelligence How to Design an Autonomous Multi-Agent Data and Infrastructure Strategy System Using Lightweight Qwen Models for Efficient Pipeline Intelligence This tutorial outlines the development of an Agentic Data and Infrastructure Strategy system utilizing the lightweight Qwen2.5-0.5B-Instruct… →