Results 201 to 210 of about 1,278,526 (294)

Enhanced strength and chemical stability of Salix tetrasperma wood through thermal modification. [PDF]

Sci Rep
Shabir S, Dutt B, Kumar R, Sharma D, Mushtaq I.   +4 more
europepmc   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

Self-Seeded Nucleation of PET in a Benign Solvent Yields a High Modulus Aerogel With Ultra-Low Thermal Conductivity. [PDF]

Adv Mater
Baugh KR, Godshall GF, Spiering GA, Trindade Coutinho I, Rodriguez AA, Wood KJ, Gonzalez-Arellano A, Malakooti S, Vivod SL, Moore RB.   +9 more
europepmc   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Evaluation of Starch-Derived Hydrogel Systems for Artifact-Cleaning Applications. [PDF]

Gels
Razza N, Weththimuni ML, Ferretti M, Girella A, Vigani B, Galinetto P, Licchelli M.   +6 more
europepmc   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

Advanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang, Meng Chen, Guanchen Li, Ruifeng Liu, Yingxin Wang, Ziran Zhao   +5 more
wiley   +1 more source

<i>Cryptomeria japonica</i> var. <i>sinensis</i> Miquel (Chinese Cedar): A Comprehensive Review of Its Biology, Phytochemistry, Biotechnology, and Utilization. [PDF]

Plants (Basel)
Yuan H, Huang L, Guo J, Jiao T, Shen Q, Qiao J, Hu J, Yin Y, Cui F, Yan D, Li Y, Zuo J, Shah K, Zheng B.   +13 more
europepmc   +1 more source

Machine‐Learning‐Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles

Advanced Science, EarlyView.
This study establishes a universally applicable framework for vesicle surface analysis by combining engineered amyloid‐β‐displaying nanovesicles with machine‐learning‐optimized impedance spectroscopy. Equivalent‐circuit modeling reveals that membrane capacitance correlates with the surface protein states, enabling label‐free quantification of vesicle ...
Jaeyoon Song, Neethu Ramakrishnan, Sehyeon Kim, Huiseop Lee, Youngeun Kwon, Jinsik Kim   +5 more
wiley   +1 more source

Wood/Dynamic Covalent Polymer Network Composites. [PDF]

Polymers (Basel)
Kuang J, Wang W, Shang S, Yan Z, Zhang L, Xu K, Xie L, Wang H, Liu T.   +8 more
europepmc   +1 more source

A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine

Advanced Science, EarlyView.
This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou, Helmut Hauser, David Correa   +2 more
wiley   +1 more source