Results 121 to 130 of about 265,042 (255)

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity

Advanced Science, EarlyView.
Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye, Jialiang Kuang, Colin T. Bates, Arthur Escalas, Daliang Ning, Liyou Wu, Suo Liu, Sihang Deng, Jiesi Lei, Xiangwen Chen, Jennifer Pett‐Ridge, Malay Saha, Lauren Hale, Gangsheng Wang, Renmao Tian, Ying Fu, Yu Tang, Mary Firestone, Jizhong Zhou, Yunfeng Yang   +19 more
wiley   +1 more source

eQTL Meta‐Analysis Reveals Conserved and Population‐Specific Regulatory Variation Underlying Nutritional Trait Evolution and Domestication in Tomato

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, Xin Wang, Jing Zhang, Ryan McQuinn, Je Min Lee, Itay Gonda, Ari Feder, Yimin Xu, Baike Wang, Qinghui Yu, Denise M. Tieman, Sanwen Huang, Harry Klee, James J. Giovannoni, Zhangjun Fei   +14 more
wiley   +1 more source

Prescribed Performance Tracking Control for Nonlinear Stochastic Time-Delay Systems with Multiple Constraints

Actuators
This paper proposes a prescribed performance tracking control scheme for a category of nonlinear stochastic time-delay systems with input saturation and state asymmetric time-varying constraints.
Man Zhang, Ru Chang, Ying Wang
doaj   +1 more source

Tumor‐Derived Alpha‐1 Antitrypsin Promotes Liver Metastasis of Colorectal Cancer Through the Neutrophil Extracellular Traps–CCDC25 Pathway

Advanced Science, EarlyView.
ABSTRACT Liver metastasis is a leading cause of mortality in colorectal cancer (CRC), where the inflammatory tumor microenvironment, specifically neutrophil infiltration, significantly promotes metastatic colonization. This study reveals a pro‐metastatic role for alpha‐1 antitrypsin (A1AT) in CRC liver metastasis via a dual mechanism involving ...
Qian Fei, Chunning Li, Lei Zhan, Xiaoyan Li, Yan Hui, Yue Jin, Jing Zhang, Lu Yang, Xin Sun, Xiaoxi Li, Qian Dong, Jingdong Zhang   +11 more
wiley   +1 more source

Integration of Spatiotemporal Multi‐Omics in Peach Fruit Unravels a Metabolic Niche and the Genetic Basis of Trichome‐Mediated Stress Adaptation

Advanced Science, EarlyView.
This study constructed the first spatiotemporal multi‐omics map of peach fruit and discovered a key candidate gene that synergistically regulates trichome development and drought tolerance through the jasmonic acid signaling pathway, providing insights into the coupling mechanism between development and stress resistance.
Zhixin Liu, Ke Cao, Liping Guan, Aizhi Qin, Yong Li, Zihao Zhao, Yinpeng Zhang, Yaping Zhou, Lirong Wang, Xuwu Sun   +9 more
wiley   +1 more source

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 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, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Random Time‐Space Coding Metasurfaces for Spatial Control of the Temporal Statistics of Electromagnetic Fields

Advanced Science, EarlyView.
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li, Jiang Han Bao, Che Liu, Tie Jun Cui   +3 more
wiley   +1 more source