Results 121 to 130 of about 42,399 (263)

Analysis framework for higher-order temporal correlations with applications to human heartbeats

Scientific Reports
We propose a time series analysis framework focused on higher-order temporal correlations in the event sequence beyond the interevent time distribution by employing the burst-tree decomposition method.
Tibebe Birhanu, Hang-Hyun Jo
doaj   +1 more source

Single‐Cell Transcriptomic Analysis of Tumor Heterogeneity and the Microenvironment in Pseudomyxoma Peritonei

Advanced Science, EarlyView.
This study presents a single‐cell atlas of pseudomyxoma peritonei spanning primary and paired metastatic lesions. Distinct epithelial substates, stromal remodeling, immune exclusion, lipid metabolic reprogramming, and a candidate angiogenic network were identified in metastatic lesions.
Xi Li, Lei Wang, Lei Ai, Zimeng Li, Zhaochangci Chen, Yuchen Luo, Tianran Zhang, Mengjia Liao, Songhao Wang, Jiajia Cui, Ke Liu, Chengxian Guo, Guodong Liu, Jiye Yin, Wei Wu   +14 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Unraveling the effect of environment and decomposer diversity on deadwood decomposition: lessons from a large-scale experiment

Ecological Processes
Background The decomposition of organic matter is among the most important ecosystem processes in forest ecosystems, regulating the carbon and nutrient cycle. However, our understanding about how direct (environment and decomposer diversity) and indirect
Jasper Schreiber, Harald Kellner, Friederike Roy, Vendula Brabcová, Petr Baldrian, Maximilian Stein, Claus Bässler   +6 more
doaj   +1 more source

Thermally Processable, Transparent, Mechanically Tunable and Robust Bioplastics From Wastepaper

Advanced Science, EarlyView.
Unlike conventional inefficient or low‐value wastepaper recycling, a directional transformation strategy is employed to convert whole wastepaper into intact bioplastics with tunable mechanical properties in our work. These bioplastics can be processed into flexible bags or rigid containers and exhibit high transparency, water resistance, repairability,
Zhezhe Zhou, Tao Chu, Boyou Hou, Mark Lynch, Siqi Huo, Min Hong, Jianguo Yang, Paulomi (Polly) Burey, Qiang Gao, Guobo Huang, Pingan Song   +10 more
wiley   +1 more source

Intrinsically Mitochondria‐Targeting Nanozyme via Coordination‐Assembly of Natural Quercetin for Cascade Antioxidant Therapy of Cerebral Ischemia‐Reperfusion Injury

Advanced Science, EarlyView.
This study uncovers that quercetin naturally targets mitochondria. By coordinating quercetin with Fe3+, we engineer an ultrasmall cascade nanozyme (MCN) with superoxide dismutase‐catalase activities. MCN crosses the damaged blood–brain barrier, scavenges mitochondrial ROS, prevents mitochondrial DNA leakage, and blocks the cGAS‐STING pathway, thereby ...
Wenxuan Zheng, Zhicheng Wang, Xin Zhou, Shuya Wang, Xiaojing Shi, Tingli Xiong, Ruishi Li, Yuting Lin, Zhen Chen, Jiawen Wei, Fei Li, Jinwen Ge, Kelong Ai, Chong Liu, Guiming Deng   +14 more
wiley   +1 more source

In‐Process Magnetization for 3D Printing of Magnetorheological Elastomer with Heterogeneous Magnetic Profile for Anisotropic Actuation

Advanced Science, EarlyView.
Fully programmable, in‐process 3D magnetization integrated with multi‐material printing enables soft magnetic systems with precise actuation and sensing. Discrete and continuous magnetization profiles drive bending, morphing, and locomotion, demonstrated through strain‐sensing elements, dragonfly‐inspired wings, octopus‐like tentacles, and a serpentine
Phillip Glass, David Hassouna, Udena Epitawala Arachchige, Hyeon Yun Jeong, Sung Hyun Park, Daeha Joung   +5 more
wiley   +1 more source

Infrared: a declarative tree decomposition-powered framework for bioinformatics

, 2023
Yao H, Marchand B, Berkemer SJ, Ponty Y, Will S.   +4 more
europepmc   +1 more source