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Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
Large language models (LLMs) such as Open AI's GPT-4 (which power ChatGPT) and Google's Gemini, built on artificial intelligence, hold immense potential to support, augment, or even eventually automate psychotherapy. Enthusiasm about such applications is mounting in the field as well as industry…
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Artificial intelligence for geoscience: Progress, challenges, and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence (AI) and data collection techniques. Traditional models, which are grounded…
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Nanoparticles in tumor microenvironment remodeling and cancer immunotherapy
Cancer immunotherapy and vaccine development have significantly improved the fight against cancers. Despite these advancements, challenges remain, particularly in the clinical delivery of immunomodulatory compounds. The tumor microenvironment (TME), comprising macrophages, fibroblasts, and immune…
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When large language models meet personalization: perspectives of challenges and opportunities
Abstract The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved, leading to human-like performances in understanding…
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Diagnosis and Management of Cerebral Venous Thrombosis: A Scientific Statement From the American Heart Association
Cerebral venous thrombosis accounts for 0.5% to 3% of all strokes. The most vulnerable populations include young individuals, women of reproductive age, and patients with a prothrombotic state. The clinical presentation of cerebral venous thrombosis is diverse (eg, headaches, seizures), requiring a…
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Lattice oxygen activation and local electric field enhancement by co-doping Fe and F in CoO nanoneedle arrays for industrial electrocatalytic water oxidation
Abstract Oxygen evolution reaction (OER) is critical to renewable energy conversion technologies, but the structure-activity relationships and underlying catalytic mechanisms in catalysts are not fully understood. We herein demonstrate a strategy to promote OER with simultaneously achieved lattice…
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Quantitation and identification of microplastics accumulation in human placental specimens using pyrolysis gas chromatography mass spectrometry
The exponential increase in global plastic usage has led to the emergence of nano- and microplastic (NMP) pollution as a pressing environmental issue due to its implications for human and other mammalian health. We have developed methodologies to extract solid materials from human tissue samples by…
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Solving olympiad geometry without human demonstrations
Abstract Proving mathematical theorems at the olympiad level represents a notable milestone in human-level automated reasoning 1–4 , owing to their reputed difficulty among the world’s best talents in pre-university mathematics. Current machine-learning approaches, however, are not applicable to…
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Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review
In this review, utilizing the PRISMA methodology, a comprehensive analysis of the use of Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview of the impact of GAI on…
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Induced dipole moments in amorphous ZnCdS catalysts facilitate photocatalytic H2 evolution
Abstract Amorphous semiconductors without perfect crystalline lattice structures are usually considered to be unfavorable for photocatalysis due to the presence of enriched trap states and defects. Here we demonstrate that breaking long-range atomic order in an amorphous ZnCdS photocatalyst can…
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AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential
Clinical Decision Support Systems (CDSS) are essential tools in contemporary healthcare, enhancing clinicians' decisions and patient outcomes. The integration of artificial intelligence (AI) is now revolutionizing CDSS even further. This review delves into AI technologies transforming CDSS, their…
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Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study
AI chatbots have ignited discussions and controversies about their impact on teaching and learning practices in higher education. This study explores students’ adoption and perceptions of ChatGPT and other AI chatbots in higher education. Based on survey data from a large sample (n=5,894) across…
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Atrial cardiomyopathy revisited—evolution of a concept: a clinical consensus statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asian Pacific Heart Rhythm Society (APHRS), and the Latin American Heart Rhythm Society (LAHRS)
AIMS: The concept of "atrial cardiomyopathy" (AtCM) had been percolating through the literature since its first mention in 1972. Since then, publications using the term were sporadic until the decision was made to convene an expert working group with representation from four multinational…
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Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses
The increasing application of meta-omics approaches to investigate the structure, function, and intercellular interactions of microbial communities has led to a surge in available data. However, this abundance of human and environmental microbiome data has exposed new scalability challenges for…
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Chronic stress increases metastasis via neutrophil-mediated changes to the microenvironment
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