Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...
Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...
City makes explicit a 12-month timeframe required for the lender-turned-developer to complete $5 million in improvements. Kelly Davis, intrepid reporter who exposed death and despair in San Diego ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Introduction Psychotic disorders account for significant morbidity and healthcare costs and yet their pathophysiology remains poorly understood. The National Institute for Health and Care Research ...
Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...
Introduction In 2021, globally, cardiometabolic diseases (CMDs) accounted for 35% of the 1.73 billion disability-adjusted life years (DALYs) attributed to non-communicable diseases. The Healthy Life ...
Abstract: The joint task of video moment retrieval and video highlight detection is a challenging study, which requires building a model that not only captures contextual information between sequences ...
Abstract: Existing methods for few-shot speaker identification (FSSI) obtain high accuracy, but their computational complexities and model sizes need to be reduced for lightweight applications. In ...
AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
France’s OVHcloud bets on frontier AI as Europe seeks alternatives to US models The company says the cost of training frontier AI models has fallen sharply, but analysts say the bigger challenge may ...
Our face displays our outward emotional expressions – giving a view of how we show our inner emotional state. These expressed emotional states are detected in real time using fully automated computer ...
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