CONCLUSION: The findings demonstrate that a therapeutic package integrating CBT, Narrative Therapy, and cultural sensitivity can effectively alleviate PMS-related psychological symptoms in adolescent girls. This approach holds promise for broader applications in educational and counseling settings to enhance adolescent well-being. →

CONCLUSION: Spiritual care program based on the Sound heart model improves self-efficacy and decreases caregivers’ burden in mothers of children with Leukemia. The use of this model is recommended for addressing the spiritual needs of mothers with children diagnosed with leukemia and for guiding health professionals in developing spiritual and healing care programs in clinical… →

Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from Hypothesis Generation to Experimental Validation Scientific research across fields like chemistry, biology, and artificial intelligence has traditionally depended on human experts to explore knowledge, generate ideas, design experiments, and refine results. However, as problems become more complex and data-intensive, the pace of discovery has… →
This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference Large language models (LLMs) with billions of parameters are integral to many AI-driven services across various industries. However, their substantial size and intricate architectures present significant computational challenges during inference. As these models continue to evolve, optimizing… →
Cisco’s Latest AI Agents Report: The Transformative Impact of Agentic AI on Customer Experience The Evolution of Customer Experience in B2B Technology The customer experience (CX) paradigm within B2B technology is evolving significantly, driven by advancements in agentic AI. Cisco’s recent Agentic AI Report provides a thorough assessment of how AI agents—characterized by autonomous decision-making,… →
This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for Efficient and Scalable Problem-Solving Reasoning tasks are a fundamental aspect of artificial intelligence, encompassing areas like commonsense understanding, mathematical problem-solving, and symbolic reasoning. These tasks often involve multiple steps of logical inference, which large language models (LLMs) attempt to mimic through structured approaches such… →
«`html A Coding Guide to Building a Scalable Multi-Agent Communication System Using Agent Communication Protocol (ACP) This tutorial implements the Agent Communication Protocol (ACP) by building a flexible, ACP-compliant messaging system in Python, utilizing Google’s Gemini API for natural language processing. The guide covers the installation and configuration of the google-generativeai library and introduces core… →
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. When… →

Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic Integration Recent advancements in multimodal foundation models have shown significant progress in disciplines such as mathematics and knowledge-based reasoning. While these models achieve human-competitive accuracy on benchmarks like AIME, GPQA, MATH-500, and OlympiadBench, they fall short in a… →
CONCLUSION: In patients with HFpEF, a higher FMI was strongly associated with increased risks of both the primary endpoint and all-cause mortality, while an elevated LBMI was associated with a reduced risk of mortality. →
