Results 51 to 60 of about 299,243 (301)

Macrophage TRIM21 Inhibition Ameliorates Murine Acute Pancreatitis via PHB2‐Mediated Mitochondrial Stabilization

Advanced Science, EarlyView.
Macrophage‐derived TRIM21 drives the progression of AP via ubiquitin‐proteasome‐mediated degradation of PHB2, leading to impaired PHB2‐mediated mitophagy. Therefore, accumulation of cytosolic mtDNA hyperactivates the cGAS‐STING signaling axis, thereby amplifying inflammatory cascades.
Yansong Xu, Yuansong Sun, Xin Zhou, Kai Song, Chunlin Yin, Zhaohua Wang, Fei Xie, He Li   +7 more
wiley   +1 more source

Targeted Degradation of eEF2K by a Structure‐Guided PROTAC Strategy for the Treatment of Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
This study developed an eEF2K‐targeting PROTAC, A6, that efficiently degrades eEF2K in TNBC cells, inhibiting tumor growth in vitro and in vivo. To enhance tumor‐specific delivery, we engineered A6@ZIF‐8, a pH‐sensitive nanocarrier, which improved drug accumulation at tumor sites, offering a promising therapeutic strategy for TNBC through targeted ...
Shijun Cao, Changxin Zhong, Shilong Jiang, Yungui Li, Yang Xi, Mingxuan Xiao, Ting Jiang, Xiaoya Wan, Zonglin Chen, Xiaohui Yu, Yan Cheng   +10 more
wiley   +1 more source

Photocatalytic Asymmetric C‐C Coupling for CO2 Reduction on Cu‐Zn Bimetallic Catalysts with Dipole‐Limiting Effects

Advanced Science, EarlyView.
Asymmetric Cu–Zn dual sites on EDTA‐grafted Ti‐MOF amplify the dipole‐limiting domain field (DLDF), facilitating C–C coupling. This strategy yields an exceptional C2H4 production rate of 308.72 µmol g−1 h−1 with 98.4% electron selectivity in photocatalytic CO2 reduction, highlighting the potential of asymmetric site engineering and local field ...
Peidong Ma, Ying Yu, Fan Wen, Hongyan Guo, Boyu Li, GuoZhi Deng, Xianyang Shi, Daochuan Jiang, Ruting Huang   +8 more
wiley   +1 more source

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

Agribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi, Amir Maghssudipour, Gianluca Stefani   +2 more
wiley   +1 more source

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

Agribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak, Claudia Bazzani, Andreas C. Drichoutis   +2 more
wiley   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source