Results 181 to 190 of about 81,397 (309)

Oil‐Coated Nanoplastics Induce Rapid Membrane Disruption and Severe Intestinal Injury

open access: yesAdvanced Science, EarlyView.
Oil‐rich food contact dramatically amplifies MNP release from plastic takeout containers, producing oil‐coated nanoplastics with altered surface properties and rapid membrane‐disruptive effects. These particles cause severe intestinal barrier damage and immune dysfunction in mice, and risk modeling suggests that long‐term gastrointestinal burdens may ...
Ruwen Xie   +17 more
wiley   +1 more source

From global guidelines for cardio-kidney-metabolic diseases management to national implementation: perspectives from the guideline workshop taskforce. [PDF]

open access: yesCardiovasc Diabetol
Wanner C   +26 more
europepmc   +1 more source

Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions

open access: yesAdvanced Science, EarlyView.
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang   +4 more
wiley   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

open access: yesAdvanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han   +10 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 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

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