Results 191 to 200 of about 11,278 (258)
Adipocyte‐Derived Leptolin Enhances Energy Expenditure and Prevents Obesity
Advanced Science, EarlyView.We identified a novel adipokine, which we named leptolin. In humans, leptolin levels in white adipose tissue were positively correlated with exercise and negatively associated with body mass index. We observed elevated leptolin in serum from athletes and lower leptolin in serum from obese individuals.
Jiarui Liu +17 more
wiley +1 more source
Advanced Science, EarlyView.Fibronectin 1 (FN1)‐expressing subicular subpopulations encode novel object preference and selectively govern retrieval of novel object recognition (NOR) via affecting excitability of entorhinal‐projecting circuit through large conductance Ca2+‐activated potassium (BK) channel. ABSTRACT Novel object recognition (NOR), referring to the cognitive ability
Fan Fei +15 more
wiley +1 more source
Advanced Science, EarlyView.Integrated multi‐omic profiling maps the gene‐regulatory landscape of the coelomic mesothelium across heart, lung, and pancreas. A cardiac‐restricted regulatory program is uncovered in which TBX20 activates heart mesothelial (epicardial) cis‐regulatory elements, while MAF emerges as a conserved regulator of mesothelial identity.
Quang Minh Dang +3 more
wiley +1 more source
Advanced Science, EarlyView.The pholidota‐inspired electronic skin is successfully constructed, originally realized four‐state reversible switching of terahertz‐wave reflection, absorption, transmission, and secondary reflection. In response to external demands, it issues deformation instructions, verifies the deformation state after the equipment executes the action, and thus ...
Shangjing Li +4 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Advanced Science, EarlyView.A comprehensive meta‐analysis of expression quantitative trait loci (eQTLs) across five diverse tomato populations reveals a high‐resolution atlas of transcriptional regulation and uncovers conserved and population‐specific regulatory architectures underlying fruit nutritional quality traits, including flavonoids, sugars, organic acids, carotenoids ...
Jiantao Zhao +14 more
wiley +1 more source
Advanced Science, EarlyView.We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced 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
Study of Free‐Space Optical Quantum Network: Review and Prospectives
Advanced Science, EarlyView.Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley +1 more source
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