CONCLUSIONS: The simulation-based breast health education intervention for Afghan refugee women was found to be a practical and innovative approach to raising breast cancer awareness and providing breast self-examination skills. This intervention may play a significant role in identifying at-risk individuals and raising their awareness. If sustained, this could potentially increase future screening participation and… →

CONCLUSIONS: Comorbid depression is associated with a significantly higher risk of 1-year mortality in patients with advanced cancer who exhibit lower levels of proactive positivity, but not in those with higher levels of proactive coping. These findings highlight the importance of incorporating assessments of psychological resilience and coping strategies into the clinical management of advanced… →

CONCLUSIONS: Systemic zinc supplementation combined with topical corticosteroid can be used as an adjunct therapy for OLP management. Topical corticosteroid supplemented with vitamin D has comparable effect to topical corticosteroid alone on pain and clinical improvement in symptomatic OLP. →

Clostridioides difficile infection (CDI) is a significant cause of hospital-acquired diarrhea, leading to high morbidity, recurrence, and healthcare costs. Probiotics like Saccharomyces boulardii show potential as an adjunct therapy to standard CDI treatment, but further trials are needed to confirm their efficacy. This study assessed the efficacy and safety of S. boulardii combined with vancomycin… →

Mistral AI Introduces Codestral Embed: A High-Performance Code Embedding Model for Scalable Retrieval and Semantic Understanding Modern software engineering faces significant challenges in accurately retrieving and understanding code across diverse programming languages and large-scale codebases. Existing embedding models often struggle to capture the deep semantics of code, leading to poor performance in tasks such as… →
Hands-On Guide: Getting Started with Mistral Agents API The Mistral Agents API enables developers to create smart, modular agents equipped with a wide range of capabilities. Key features include: Support for a variety of multimodal models, covering both text and image-based interactions. Conversation memory, allowing agents to retain context across multiple user messages. The flexibility… →
Meta Releases Llama Prompt Ops: A Python Package that Automatically Optimizes Prompts for Llama Models The growing adoption of open-source large language models such as Llama has introduced new integration challenges for teams previously relying on proprietary systems like OpenAI’s GPT or Anthropic’s Claude. While performance benchmarks for Llama are increasingly competitive, discrepancies in prompt… →
Alex Nabaum/theispot.com The United States’ dominance in STEM research and innovation is at a critical crossroads as the country’s STEM research industry faces unprecedented erosion that will be difficult to reverse. At the heart of this challenge lies a growing crisis in human capital: the weakening pipeline of international doctoral talent that has historically powered… →
Carolyn Geason-Beissel/MIT SMR Recent harsh backlash against diversity, equity, and inclusion (DEI) practices marks a pivotal moment for organizations worldwide. Once seen as essential to social progress and organizational success, these programs now face intensified scrutiny, with critics challenging their fairness and many seeking to dismantle them entirely. In this contentious climate, organizations must grapple… →
Introducing LLaDA-V: A Purely Diffusion-Based Multimodal Large Language Model Multimodal large language models (MLLMs) are designed to process and generate content across various modalities, including text, images, audio, and video. These models aim to understand and integrate information from different sources, enabling applications such as visual question answering, image captioning, and multimodal dialogue systems. The… →