Results 71 to 80 of about 43,074 (218)

Cholesterol Laundry of Cell Membrane and Fatty Liver by Detergent Liposomes to Improve Anti‐Cancer Drug Responsiveness of Patient Liver Tissues

Advanced Science, EarlyView.
Cholesterol‐enriched plasma membranes in hepatocellular carcinoma impede drug penetration. Cholesterol (+)‐liposomes act as membrane‐specific detergents, extracting cholesterol and reducing barrier function without cytotoxicity. Following endocytosis, cholesterol transfers from endosomes to liposomes and is metabolized in the ER.
Chansik Kim, Joo Kyung Noh, Sewoom Baek, Seung Eun Yu, Jueun Kim, Seongyo Lee, Youngji Oh, Dai Hoon Han, Seyong Chung, Hak‐Joon Sung   +9 more
wiley   +1 more source

Large Language Models: А Socio-Philosophical Essay

Галактика медиа: журнал медиа исследований
Neural networks have filled the information space. On the one hand, this indicates the scientific and technological movement of contemporary society (perhaps, AGI is already waiting for us outside the door). On the other hand, in everyday discourse there
Regina V. Penner
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 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

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Lymphocyte‐C‐Reactive Protein Ratio as Promising New Marker for Predicting Surgical Site Infection in Children With Ulcerative Colitis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Surgical site infection (SSI) is a major complication after ileal pouch–anal anastomosis (IPAA) in pediatric ulcerative colitis (UC), significantly impairing quality of life. The lymphocyte‐to–C‐reactive protein ratio (LCR), a composite marker of systemic inflammation and immune/nutritional status, has emerged as a potential ...
Yuhki Koike, Koki Higashi, Yuki Sato, Yuka Nagano, Tadanobu Shimura, Takahito Kitajima, Kohei Matsushita, Yoshiki Okita, Yoshinaga Okugawa, Yuji Toiyama   +9 more
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

Comparative Performance of Three GPT Models on Japanese Dental Board-Style Multiple-Choice Questions

Computers
Large language models (LLMs) are increasingly used in professional examinations, but their relative performance on dental board-style questions remains unclear. This study compared two reasoning-optimized models, GPT-o3 and GPT-5T, with a general-purpose
Hikaru Fukuda, Masaki Morishita, Kosuke Muraoka, Shino Maeda, Taiji Nakamura, Manabu Habu, Shuji Awano, Kentaro Ono   +7 more
doaj   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

The Diagnostic Ability of GPT-3.5 and GPT-4.0 in Surgery: Comparative Analysis

Journal of Medical Internet Research
BackgroundChatGPT (OpenAI) has shown great potential in clinical diagnosis and could become an excellent auxiliary tool in clinical practice.
Jiayu Liu, Xiuting Liang, Dandong Fang, Jiqi Zheng, Chengliang Yin, Hui Xie, Yanteng Li, Xiaochun Sun, Yue Tong, Hebin Che, Ping Hu, Fan Yang, Bingxian Wang, Yuanyuan Chen, Gang Cheng, Jianning Zhang   +15 more
doaj   +1 more source