Results 131 to 140 of about 521,359 (300)

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

Suicide attempts: a contingency analysis

Estudos de Psicologia (Campinas)
The aim of this study was to understand, from the perspective of behavioral analysis, the possible antecedents and consequences of a suicide attempt for the individual responsible, using reports from patients that were hospitalized in a psychiatric ...
Flávia Caroline Figel, Cláudia Lúcia Menegatti, Elke do Pilar Nemer Pinheiro   +2 more
doaj   +1 more source

Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study. [PDF]

, 2019
BackgroundTo determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density measures.MethodsFull-field digital ...
Fan, Bo, Greenwood, Heather, Hinton, Benjamin, Joe, Bonnie, Kerlikowske, Karla, Lee, Vivian, Ma, Lin, Mahmoudzadeh, Amir Pasha, Malkov, Serghei, Shepherd, John   +9 more
core   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 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

Genetic Code Expanded T Cell for Controllable Immunotherapy

Advanced Science, EarlyView.
Our GCE‐CAR‐T cells enables tight, dose‐dependent, and function‐preserving control of CAR expression at the translational level through amber codon suppression and genetic incorporation of ncAA. ABSTRACT Chimeric antigen receptor (CAR)‐T cell therapy has demonstrated curative potential against hematologic malignancies, but its clinical application ...
Xue Wang, Yingao Gao, Yeyu Su, Yong Wang, Tao Liu   +4 more
wiley   +1 more source

Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors

Advanced Science, EarlyView.
 . ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton, Tuan Sang Tran, Duc Khanh Tran, Van Thanh Dau, Dzung Viet Dao   +4 more
wiley   +1 more source

Eco‐Geography Reverses Dominant AMR Reservoirs in Klebsiella pneumoniae: Integron‐Rich Mobilomes and Cross‐Niche Connectivity

Advanced Science, EarlyView.
Dominant antimicrobial resistance reservoirs in Klebsiella pneumoniae vary across eco‐geographic settings rather than following a universal pattern. Integrated One Health and global genomic analyses show that lineage structure, integron load, and cross‐niche connectivity shape whether AMR burden accumulates primarily in human or nonhuman compartments ...
Hui Lin, Biao Tang, Hao Xu, Jiajie Qian, Feifan Shi, Junhui Zhao, Xiaorui Mao, Xiaohe Hu, Ruishan Liu, Wenhong Liu, Xiawei Jiang, Beiwen Zheng, Guoping Zhao   +12 more
wiley   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source