Results 91 to 100 of about 478,725 (301)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
On the Mental State of Consciousness of Wrongdoing [PDF]
, 2012 Mistake about or ignorance of the law does not exculpate in criminal law, except in limited circumstances. Doctrine and theory cognate to this principle are, by now, well developed and understood.
Buell, Samuel W., Griffin, Lisa Kern
core +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Advanced Science, EarlyView.This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
Advanced Science, EarlyView.This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen +10 more
wiley +1 more source
Competition Policy and Agribusiness in the Biden Administration
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT The Biden Administration pursued a set of ambitious competition policy initiatives in agriculture and agribusiness, primarily aimed at livestock and poultry supply chains, farm inputs, and food retailing. The initiatives included expanded antitrust enforcement; new US Department of Agriculture (USDA) contract regulations requiring poultry ...
James M. MacDonald
wiley +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
Advanced Energy and Sustainability Research, EarlyView.This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Development of legal consciousness of legal students
Uzhhorod National University Herald. Series: LawThe article is devoted to the analysis of the development of legal consciousness of law students. The main methodological approaches to the formation of legal consciousness of future specialists in the legal field are outlined. It was found that the components that influence the development of legal awareness, which determines the orientations for ...
A. V. Honcharov, M. V. Honcharov
openaire +3 more sources
Introduction: The Foundations of a European Legal Method [PDF]
, 2011 The methods of legal scholarship today are not self-evident. There are various reasons for the growing self-consciousness of legal scholars about their methodology.
Taekema, H.S. (Sanne)
core
Agribusiness, EarlyView.Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source