Results 181 to 190 of about 74,932 (302)

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay

Advanced Science, EarlyView.
An AI‐facilitated real‐time digital micromotor tracking‐enabled immunoassay is developed, which leverages a self‐developed multi‐microparticle tracking system to monitor micromotor motion trajectories in a real‐time manner for digital protein analysis.
Jingjing Shi, Zuhua Yu, Hui Tian, Wenjiao Fan, Yuanyuan Sun, Wei Ren, Chenghui Liu   +6 more
wiley   +1 more source

Differences in plant- and animal-based protein sources consumed across socioeconomic groups in The Netherlands and their associated environmental impact. [PDF]

Eur J Nutr
Lopez Mariaca HA, Blokhuis C, Zhu Y.
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Segmentation based on consumers’ perceived importance and attitude toward farm animal welfare. [PDF]

, 2007
TUYTTENS, F, Van Poucke, Els, Vanhonacker, Filiep, Verbeke, Wim   +3 more
core   +1 more source

Single‐Crystal PZT‐Driven Organic Piezo‐Phototronic Adaptive Transistors Toward Advanced Spatiotemporal Visual Computing

Advanced Science, EarlyView.
Here, we propose a single‐crystal PZT‐based piezo‐phototronic organic adaptive memory transistor (OAMT), achieving a record memory window capacity factor (γ) of 0.87 at a low SS of 200 mV/decade via efficient multi‐field control. The device achieves a high recognition accuracy ∼ 90% in neuromorphic simulations, demonstrates robust fault tolerance under
Chenhao Xu, Xingyu Cao, Zewen Li, Shifu Xiong, Yongxu Hu, Zhongwu Wang, Yujie Yuan, Lei Zheng, Wenping Hu   +8 more
wiley   +1 more source

Quality characteristics of nitrite-free emulsified pork sausages with gardenia red-based additive combinations. [PDF]

Food Sci Anim Resour
Jin SK, Kim JH, Lee SY.
europepmc   +1 more source

A Fully Self‐Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis

Advanced Science, EarlyView.
This study reports a system‐level fully self‐powered digital wearable system (FS‐DWS) for the auxiliary treatment of plantar fasciitis. By integrating arch support, energy harvesting, wearable sensing, and machine learning‐driven closed‐loop visualized feedback, the system enables effective plantar pressure reduction and self‐powered, real‐time plantar
Jiacheng Hou, Ying Hong, Shiyuan Liu, Qiqi Pan, Jingyu Zhang, Qingyang Xu, Qiyi Nie, Zhonghe Wang, Liming Xin, Yilong Wang, Biao Wang   +10 more
wiley   +1 more source

The National Food Consumption Survey IV SCAI: Nutrient Intakes and Related Dietary Sources in Italy. [PDF]

Nutrients
Le Donne C, Ferrari M, Mistura L, D'Addezio L, Comendador Azcarraga FJ, Martone D, Piccinelli R, Sette S, Catasta G, Turrini A, IV SCAI field work team.   +10 more
europepmc   +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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source