Results 81 to 90 of about 31,797 (289)

Modulation of the TGF‐β/Smad Signaling Pathway by a Bioactive Oxidized Polygonati Rhizoma Polysaccharide Crosslinked Chitosan Hydrogel as Therapeutic Carrier for Parkinson's Disease Treatment

Advanced Science, EarlyView.
An injectable, self‐healing COPRP hydrogel integrates structurally defined oxidized Polygonati rhizoma polysaccharide with carboxymethyl chitosan through dynamic Schiff‐base crosslinking. The bioactive matrix scavenges reactive oxygen species, suppresses neuroinflammation, protects dopaminergic neurons, and supports sustained levodopa release.
Peng Dai, Jikuang Zhao, Chang Xue, Kailei Xu, Liang Yong, Zhuangwei Zhang, Yi Huang, Jianwei Shuai, Xianzhen Chen, Sheng Nie, Junpeng Xu   +10 more
wiley   +1 more source

AI‐Designed TREM1‐Targeted LYTAC Nanoparticles Reprogram the Neuroimmune Microenvironment in Traumatic Brain Injury

Advanced Science, EarlyView.
AI‐enabled de novo design of a TREM1 binder, integrated into a BBB‐crossing and macrophage‐targeted nanoplatform, enables TREM1 degradation and attenuates neuroinflammation, thereby promoting neuroprotection and tissue repair after traumatic brain injury. ABSTRACT Secondary neuroinflammation drives progressive damage after traumatic brain injury (TBI),
Yimin Huang, Yuan Liu, Huan Peng, Yu Ni, Zhengqiao Jiang, Chenxuan Yu, Xincheng Zhang, Huayu Kang, Yanchao Liu, Juan Chen, Kai Zhao, Lin Han, Xin Zou, Kai Shu, Xiaochuan Wang, Jian‐Zhi Wang, Ting Lei, Chao Gan, Jianfeng Liu, Huaqiu Zhang   +19 more
wiley   +1 more source

Perception, hallucination, and illusion

, 2009
viii,198hal ...
Fish, William
core  

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 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

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

A Brief Survey on Safety of Large Language Models

Journal of Computing and Information Technology
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) and have been widely adopted in various applications such as machine translation, chatbots, text summarization, and so on.
Zhengjie Gao, Xuanzi Liu, Yuanshuai Lan, Zheng Yang   +3 more
doaj   +1 more source

Reading characters in voices: Ratings of personality characteristics from voices predict proneness to auditory verbal hallucinations.

PLoS ONE, 2019
People rapidly make first impressions of others, often based on very little information-minimal exposure to faces or voices is sufficient for humans to make up their mind about personality of others.
Kaja Julia Mitrenga, Ben Alderson-Day, Lucy May, Jamie Moffatt, Peter Moseley, Charles Fernyhough   +5 more
doaj   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges

Bioengineering
The field of radiology is experiencing rapid adoption of large language models (LLMs), yet their tendency to generate hallucinations (plausible but incorrect information) remains a significant barrier to trust.
Sara Salehi, Yashbir Singh, Kelly K. Horst, Quincy A. Hathaway, Bradley J. Erickson   +4 more
doaj   +1 more source