Results 231 to 240 of about 815,665 (302)

Time series data of a broadleaved secondary forest in Japan as affected by deer and mass mortality of oak trees. [PDF]

Biodivers Data J, 2017
Itô H.
europepmc   +1 more source

Photodynamic Priming and Minocycline Overcome Chemoresistance by Reprogramming the Pancreatic Tumor Immune Microenvironment In Vivo

Advanced Science, EarlyView.
Dual priming with minocycline and photodynamic priming reprograms the pancreatic tumor microenvironment to overcome chemoresistance. By suppressing DNA repair enzyme Tdp1, inducing photooxidative damage, and enhancing irinotecan delivery via light‐activated nanoencapsulation, this strategy remodels the tumor microenvironment and drives immune ...
Fernanda V. Cabral, Jose Quilez‐Alburquerque, Olivia Mooradian, Shivendran Vytheswarran, Badri Parshad, Girgis Obaid, Huang‐Chiao Huang, Tayyaba Hasan   +7 more
wiley   +1 more source

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

Advanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li, Liangyin Xiong, Mengchao Niu, Junhua Luan, Wei Wang, Zengbao Jiao   +5 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

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Mechanism Underlying the Spatial Pattern Formation of Dominant Tree Species in a Natural Secondary Forest. [PDF]

PLoS One, 2016
Jia G, Yu X, Fan D, Jia J.
europepmc   +1 more source

A Virus‐Inducible E3–RLCK–MADS Module Coordinates Suppression of Plant Immunity and Fertility in Rice

Advanced Science, EarlyView.
ABSTRACT Viruses often hijack host developmental programs to promote infection, but the mechanistic links between reproductive regulation and antiviral immunity remain incompletely understood. Here, we identify a virus‐triggered hierarchical degradation cascade that links antiviral immunity and fertility regulation in rice. We show that the rice grassy
Yuansheng Wu, Fengling Wu, Shiting Huang, Denglu Yang, Xin Lei, Xue Zhang, Na Liu, Peng Gan, Chuan Li, Jie Zhang, Ming Wu, Qingxiao Jia, Shanshan Zhao, Jianguo Wu   +13 more
wiley   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

Advanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang, Shengxin Lu, Guangyong Zheng, Shensuo Li, Hongyu Chen, Mei Hong, Xiangru Zhou, Ruotian Tang, Ye Wu, Weidong Zhang, Dong Lu, Xin Luan   +11 more
wiley   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source