Results 131 to 140 of about 1,015,564 (337)

Is there such a thing as pragmatics?--Review of Concise Encyclopedia of Pragmatics 2nd ed (2009) [PDF]

open access: yes, 2016
Clearly neither I nor anyone will ever read any substantial part of this massive tome so I will discuss the one article that interests me most and which I think provides the framework necessary for the understanding of all the rest.
Starks, Michael
core  

ACSL1‐Dependent Microglial Lipoimmunometabolic Reprogramming Underlies Cognitive Deficits in Alcohol Use Disorder

open access: yesAdvanced Science, EarlyView.
This study reveals that chronic alcohol exposure selectively upregulates ACSL1 expression in prefrontal cortical microglia, driving lipid metabolism reprogramming and lipid droplet accumulation, which activates the NLRP3 inflammasome and sustains neuroinflammation. To reverse this process, a dual‐targeted lipid nanoparticle, siACSL1@LNP‐MR, is designed
Liang Hao   +8 more
wiley   +1 more source

The Logical Structure of Consciousness (behavior, personality, rationality, higher order thought, intentionality) (revised 2019) [PDF]

open access: yes, 2019
After half a century in oblivion, the nature of consciousness is now the hottest topic in the behavioral sciences and philosophy. Beginning with the pioneering work of Ludwig Wittgenstein in the 1930’s (the Blue and Brown Books) and from the 50’s to the ...
Starks, Michael
core  

Phenotypic Diversity and Outcomes in Pediatric NMDA Receptor Encephalitis: A 15‐Year Retrospective Study from the Largest Children's Hospital in the United States

open access: yesAdvanced Science, EarlyView.
ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss   +9 more
wiley   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

open access: yesAdvanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng   +8 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced 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

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced 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

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

open access: yesAdvanced 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

open access: yesAdvanced 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

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