Results 151 to 160 of about 150,216 (340)

Amyloid Forming Human Lysozyme Intermediates are Stabilized by Non‐Native Amide‐π Interactions

Advanced Science, EarlyView.
Mutational variants of human lysozyme cause fatal systemic amyloidosis by depositing kilograms of protein in the viscera of patients. Central to this process is a partially unfolded protein intermediate state that initiates aggregation into amyloid fibrils.
Minkoo Ahn, Julian O. Streit, Christopher A. Waudby, Tomasz Włodarski, Angelo Miguel Figueiredo, John Christodoulou, Janet R. Kumita   +6 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

Augmented LT codes over binary extension fields with increased ratio of full‐degree columns

Electronics Letters
This letter proposes an augmented scheme of LT codes to improve the decoding success rate. The method involves substituting the 1‐s in full‐degree columns of the generator matrix of conventional LT codes with binary extension field elements and ...
Changyue Jiang, Jingsong Cui, Jiawei Li, Chi Guo   +3 more
doaj   +1 more source

Trusted Computing in Mobile Action

, 2006
Nicolai Kuntze, Andreas U. Schmidt
openalex   +2 more sources

On Reliable Platform Configuration Change Reporting Mechanisms for Trusted Computing Enabled Platforms [PDF]

, 2010
Kurt Dietrich
openalex   +1 more source

An in‐depth Study of the Solid Electrolyte Interphase Compositional Evolution in Sodium‐Ion Batteries: Unravelling the Effects of a Na Metal Counter Electrode on the SEI

Advanced Science, EarlyView.
Compositional evolution of the solid electrolyte interphase in Na‐ion batteries is investigated, focusing on the effects of sodium metal counter electrodes on interphase formation. Advanced analytical techniques are employed to uncover distinct differences in interphase chemistry in half‐cell versus full‐cell configurations.
Jack R. Fitzpatrick, Beth E. Murdock, Pardeep K. Thakur, Tien‐Lin Lee, Sarah Fearn, Andrew J. Naylor, Deepnarayan Biswas, Nuria Tapia‐Ruiz   +7 more
wiley   +1 more source

Microfluidic Biochip‐Based Multiplexed Profiling of Small Extracellular Vesicles Proteins Integrated with Machine Learning for Early Disease Diagnosis

Advanced Science, EarlyView.
This study develops a diagnostic platform for early detection of esophageal squamous cell carcinoma (ESCC) by integrating a barcode immunoassay biochip with machine learning. The biochip captures and analyzes small extracellular vesicle proteins from serum samples, identifying nine biomarkers linked to ESCC.
Xue Zhang, Yibin Jia, Zhikai Li, Yunhong Zhang, Chao Wang, Yanbo Liang, Jiaoyan Qiu, Mingyuan Sun, Xiaoshuang Chen, Miao Huang, Yu Zhang, Jianbo Wang, Hong Liu, Chuanbin Mao, Lin Han   +14 more
wiley   +1 more source

Opportunities for privacy and trust in the development of ubiquitous computing

, 2007
Jessica Heesen, Oliver Siemoneit
openalex   +2 more sources

Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative Models

Advanced Science, EarlyView.
Comprehensive evaluation of MLIPs and generative models for TS search using an end‐to‐end benchmark platform. Success rates, TS quality, and barrier prediction errors are systematically compared across models. The results reveal key performance trade‐offs and provide actionable insights for improving ML‐based transition state search and reaction ...
Qiyuan Zhao, Yunhong Han, Duo Zhang, Jiaxu Wang, Peichen Zhong, Taoyong Cui, Bangchen Yin, Yirui Cao, Haojun Jia, Chenru Duan   +9 more
wiley   +1 more source

Born to Fear the Machine? Genetic and Environmental Influences on Negative Attitudes toward AI Agents

Advanced Science, EarlyView.
Why do some people fear or distrust AI agents more than others? This twin study shows that negative attitudes toward AI may partly stem from genetic factors, linking them to traits like victim sensitivity and moral beliefs. These findings show that it is not only nurture but also nature that shapes our views of AI, with implications for future human–AI
Xiaojiayu Tan, Yue He, Yuan Zhou, Xinying Li, Qingwen Ding, Yikai Tang, Yu L. L. Luo, Ruolei Gu   +7 more
wiley   +1 more source