Results 131 to 140 of about 287,181 (244)

Video and Text‐Based Supplemental Health Information and Consumer Willingness to Pay for Nutrient‐Enhanced Eggs

Agribusiness, EarlyView.
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor, Michael J. Best, Anita R. Best, Ondulla T. Toomer   +3 more
wiley   +1 more source

Cure rate estimation with insufficient follow-up: A median-based bootstrap correction approach. [PDF]

PLoS One
Ibi Y, Omori T.
europepmc   +1 more source

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura, Yuki Murakami, Yusuke Oshima, Takashi Masuda, Wataru Miyoshino, Hiroomi Takayama, Yoko Kawano, Teijiro Hirashita, Yuichi Endo, Masafumi Inomata   +9 more
wiley   +1 more source

A digital twin framework for predicting and simulating type 2 diabetes onset using retrospective lifestyle data. [PDF]

Front Digit Health
Kiran M, Xie Y, Ball G, Schutte R, Anjum N, Pierscionek B.   +5 more
europepmc   +1 more source

bootstrapping

Citation: 'bootstrapping' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10086 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

The National Clinical Database Risk Calculator and the 5‐Item Modified Frailty Index Predict the Development of Postoperative Delirium After Surgery for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda, Akira Shimizu, Koji Kubota, Tsuyoshi Notake, Hiroki Sakai, Kentaro Yoshikawa, Tomohiko Ikehara, Hikaru Hayashi, Koya Yasukawa, Yuji Soejima   +9 more
wiley   +1 more source

ITS2 and 18S rRNA gene sequence-structure phylogeny of the Haptophyta (Haptista). [PDF]

PLoS One
Ridder L, Edvardsen B, Wolf M.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Comparing effect latencies in the visual world paradigm: Monte Carlo simulations to assess resampling-based procedures. [PDF]

Behav Res Methods
Minor S.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source