Results 151 to 160 of about 36,300 (256)

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

Applying a hypothetical strategy to the intercurrent event of non-adherence with the parametric g-formula: a post hoc secondary analysis of the MET-PREVENT randomised controlled trial. [PDF]

Trials
Hiu S, Wilson N, Wilson K, Lin N, Witham MD, Wason JMS, M. E. T.-PREVENT Study Group.   +6 more
europepmc   +1 more source

Is There a Market for Organic Milk in Serbia? Insights From Integrated Choice and Latent Variable Model

Agribusiness, EarlyView.
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic, Sanja Dzever, Bojan Matkovski, Danilo Djokic   +3 more
wiley   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

Age‐Dependent Prognostic Significance of Preoperative Transthyretin After Curative Resection for Stage I–III Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Preoperative malnutrition and systemic inflammation are established determinants of adverse outcomes in colorectal cancer (CRC). Transthyretin (TTR), a rapid‐turnover hepatic protein, reflects both nutritional and inflammatory status; however, its clinical utility may be influenced by age‐ and sex‐related variability.
Ayane Kawata, Yuji Miyamoto, Hiro Nakamura, Takahiko Akiyama, Kota Arima, Katsuhiro Ogawa, Yukiharu Hiyoshi, Masaaki Iwatsuki   +7 more
wiley   +1 more source

Assessing the properties of the prediction interval in random-effects meta-analysis. [PDF]

Res Synth Methods
Mátrai P, Kói T, Sipos Z, Farkas N.
europepmc   +1 more source

Preoperative FIB‐4 Index as a Potential Factor Associated With Severe Postoperative Complications and Endogenous Organ Failure After Hepatectomy for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that a preoperative FIB‐4 index ≥ 5.0 independently predicts severe complications and endogenous organ failure (EOF) following hepatectomy for hepatocellular carcinoma. By capturing structural liver fragility and systemic vulnerability, the FIB‐4 index enhances surgical risk stratification beyond traditional functional markers ...
Masanori Nakamura, Yukiyasu Okamura, Osamu Aramaki, Nao Yoshida, Yusuke Mitsuka, Hayato Abe, Shunsuke Yamagishi, Yasuhiro Okumura, Kyongsun Pak, Shinobu Masuda   +9 more
wiley   +1 more source

CBMR: Coordinate-based meta-regression for group and covariate inference. [PDF]

Imaging Neurosci (Camb)
Yu Y, Hill-Bowen LD, Riedel MC, Bottenhorn K, Laird AR, Nichols TE.   +5 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Variance-calibrated cross-individual bootstrapping for small-sample neuroscience. [PDF]

Sci Rep
Uyanik I.
europepmc   +1 more source