Results 211 to 220 of about 240,436 (288)

AI‐Optimized Vanadium Oxide Multilayers for More Than 20‐fold Enhancement in Bolometric Performance

Advanced Science, EarlyView.
Machine‐learning‐optimized WxV1‐xOy multilayer thin films with graded doping achieve a high TCR (7.3 % K−1), reduced hysteresis, and low noise under CMOS‐compatible growth conditions. This approach overcomes the long‐standing trade‐off in microbolometers between linear response and performance, offering a universal bolometric parameter greatly enhanced
Jin‐Hyun Choi, Hyoung‐Taek Lee, Jeonghoon Kim, Miju Park, Seungjoon Sun, Gye‐Hyeon Kim, Myung‐Ho Kwon, Hyeong‐Ryeol Park, Changhee Sohn   +8 more
wiley   +1 more source

Prediction of Maximum Amplitude With Citrated Rapid Thromboelastography Reaction Time in Cardiac Surgery: A Retrospective Study. [PDF]

Cureus
Tamura T, Yokoyama T.
europepmc   +1 more source

On the Origins of Toughness in Corymbia calophylla (Marri Tree) Nuts

Advanced Science, EarlyView.
We uncover the natural toughening mechanisms of the marri nut, including fiber pullout, crack deflection, and a viscoelastic matrix, which enable exceptional energy absorption and ductility comparable to Teflon, with an elastic modulus similar to acrylic.
Wegood M. Awad, Ahmed S. Dalaq, Marieh B. Al‐Handawi, Rezo Getsadze, Oraib Al‐Ketan, James Weston, Mohammed Daqaq, Panče Naumov   +7 more
wiley   +1 more source

The critical role of inflammation in osteoporosis prediction unveiled by a machine learning framework integrating multi-source data. [PDF]

Front Physiol
Liu B, Chang H, Li P, Chang H, Wang X, He W.   +5 more
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Structural integrity of RyR2 clusters controls cardiac calcium leak. [PDF]

Front Physiol
Noren A, Shiferaw Y.
europepmc   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Pulsed Electric Fields for Emerging Single-Cell Bioprocessing in Food Applications: Electropermeabilization Mechanisms and Design Principles. [PDF]

Compr Rev Food Sci Food Saf
Perez B, Baumgartner J, Macken D, Haberkorn I, Mathys A.   +4 more
europepmc   +1 more source

Tunable Switching Mechanisms in HfZrO2‐Based Tunnel Junctions for High‐Performance Synaptic Arrays

Advanced Science, EarlyView.
This work demonstrates hybrid switching in engineered HZO‐based FTJs, enabled by controlled interlayer design and oxygen scavenging dynamics. The combined switching mechanism produces robust multilevel conductance states in large crossbar arrays, offering a materials‐driven pathway toward scalable in‐memory computing with enhanced tunability and ...
Jiwon You, Jeong‐Han Kim, Minsuk Song, Been Kwak, Eun Chan Park, Manh‐Cuong Nguyen, Wonjun Shin, Jangsaeng Kim, Daewoong Kwon   +8 more
wiley   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source