Results 81 to 90 of about 25,939 (216)

Functional Suppression of SCAP Triggers Endoplasmic Reticulum Stress‐Dependent Ferroptosis by Impairing Cholesterol Metabolism in Gastric Cancer

Advanced Science, EarlyView.
This study reveals a novel GC therapy targeting cholesterol homeostasis. Inhibiting the SCAP sterol‐sensing domain causes lethal ER stress via cholesterol accumulation, paradoxically forcing continuous synthesis that triggers ferroptosis. The findings link sterol sensing, metabolic dysregulation, and ferroptosis, establishing an anti‐cancer paradigm ...
Qianqian Xu, Guangzhao Pan, Lele Zhang, Xiangliu Chen, Kui Zhang, Yang Lu, Zibo Duan, Aiping Chen, Hailong Shen, Yuxi Zhang, Xiaowu Dong, Jinzhou Huang, Xing Huang, Kai Miao, Qian Hua, Fangfang Tao, Weidong Zhang, Jiang‐Jiang Qin   +17 more
wiley   +1 more source

Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide

Advanced Electronic Materials, EarlyView.
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali, David Hardman, Yue Xie, Fumiya Iida   +3 more
wiley   +1 more source

Resolving Oxidative and Corrosive Calendar‐Aging via Electrolyte Engineering for Stable Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
A weakly solvating ether solvent, 1,2‐dimethoxypropane (DMP), is proposed for use in localized high‐concentration electrolytes (LHCEs) for lithium metal batteries (LMBs). These DMP‐based LHCEs simultaneously suppress lithium metal corrosion and cathode degradation—two interrelated processes that accelerate calendar aging of LMBs.
Jisub Kim, Ihnkyung Jung, Kyunam Lee, Insu Hwang, Minkwan Kim, Eunseok Park, Dongmin Park, Hayoung Park, Yonggoon Jeon, Gaeun Park, Hyo Chul Ahn, Jihoon Oh, Jungwon Park, Ali Coskun, Jang Wook Choi   +14 more
wiley   +1 more source

Who are the experts? e-Scholars in the semantic web

, 2002
Scholarly research is the sum of diverse activities and leads to the dissemination of a large amount of material. Traditional approaches to exploring and becoming proficient within an esoteric research field rely on slow and sometimes ineffective ...
Kampa, Simon
core  

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Bayesian Markov Random Rield Analysis for Protein Function Prediction Based on Network Data

, 2010
Inference of protein functions is one of the most important aims of modern biology. To fully exploit the large volumes of genomic data typically produced in modern-day genomic experiments, automated computational methods for protein function prediction ...
ter Braak, C.J.F., Yiannis A I Kourmpetis, Cajo J F ter Braak, Kourmpetis, Y.I.A., Roeland C H J van Ham, Ham, R.C.H.J., van, Aalt D J van Dijk, van Dijk, A.D.J., Bink, M.C.A.M., van Dijk Aalt D. J., Kourmpetis Yiannis A. I., van Ham Roeland C. H. J., Dijk, A.D.J., van, Bink Marco C. A. M., Braak, C.J.F., ter, Marco C A M Bink, van Ham, R.C.H.J., ter Braak Cajo J. F.   +17 more
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

The evaluation of ground based remote sensing systems for canopy nitrogen management in winter wheat [PDF]

, 2007
Nitrogen management is a crucial issue in terms of environmental and economical efficiency for winter wheat husbandry. Precision Agriculture in particular Remote Sensing, has been used to determine the variability of the crop.
Havránková, Jana
core  

The risk of disease to great apes : Simulating disease spread in orang-utan (pongo pygmaeus wurmbii) and chimpanzee (pan troglodytes schweinfurthii) association networks

, 2014
All great ape species are endangered, and infectious diseases are thought to pose a particular threat to their survival. As great ape species vary substantially in social organisation and gregariousness, there are likely to be differences in ...
Zuberbühler Klaus, Zuberbühler, Klaus, Julia Lehmann, Charlotte Carne, Helen Morrogh-Bernard, Lehmann, Julia, Semple Stuart, Semple, Stuart; id_orcid, Semple, Stuart, Carne Charlotte, Klaus Zuberbühler, Morrogh-Bernard Helen, Carne, Charlotte, Morrogh-Bernard, Helen, Lehmann, Julia; id_orcid, Lehmann Julia, Stuart Semple, Zuberbuehler, Klaus   +17 more
core   +1 more source