Results 171 to 180 of about 436,258 (285)

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes, Amanda M. Countryman, Dustin L. Pendell   +2 more
wiley   +1 more source

Combined Management of a Rare Case of an Incarcerated Intrauterine Device: Case Report and Review of the Literature. [PDF]

Case Rep Obstet Gynecol
Restaino S, Paparcura F, Rizzante E, Zermano S, Graziano A, Ferraro A, Cuman M, Poli A, Arcieri M, Driul L, Vizzielli G.   +10 more
europepmc   +1 more source

Preparation, Component Identification, and Antioxidant Activity of Anthocyanins From Punica granatum “Tunisia”

AgriFood: Journal of Agricultural Products for Food, EarlyView.
The preparation for Tunisian pomegranate anthocyanin extract. The molecular mechanisms underlying the antioxidant effects of these compounds were investigated using network pharmacology and molecular docking. Antioxidant activity was evaluated through DPPH, ABTS, and FRAP assays, whereas the effects on oxidative stress and inflammation were examined in
Jing Zhang, Xu‐han Yang, Meng‐qi Zhang, Xu Guo, Ning‐yang Li, Fang‐yu Long, Chao Liu   +6 more
wiley   +1 more source

Electric-Current-Assisted Nucleation of Zero-Field Hopfion Rings. [PDF]

Adv Mater
Chen X, Song D, Rybakov FN, Kiselev NS, Li L, Shi W, Wu R, Fu X, Eriksson O, Blügel S, Dunin-Borkowski RE, Du H, Zheng F.   +12 more
europepmc   +1 more source

Effects of Environmental and Health Information on Willingness to Pay for Local and Organic Foods in Taiwan

Agribusiness, EarlyView.
ABSTRACT Using a lab‐in‐the‐field experiment, we investigate how providing information about food miles and pesticide residue influences willingness to pay (WTP) for potatoes among 407 shoppers in Taiwan, split between a supermarket and a farmers market.
Chiu‐Lin Huang, Edward C. Jaenicke, Martina Vecchi, Sheng‐Jang Sheu   +3 more
wiley   +1 more source

Arterial human blood flow can be stopped by cables of VWF and platelets without coagulation. [PDF]

Blood Adv
Machenaud ELV, Weisel JW, Litvinov RI, Nagaswami C, Ku DN.   +4 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Template-Based Catalysis and the Emergence of Collectively Autocatalytic Systems. [PDF]

Entropy (Basel)
Serra R, Villani M.
europepmc   +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

Machine learning driven LD₅₀ prediction for cancer risk assessment using modern molecular language models. [PDF]

Front Oncol
Sharma T, Sona P, Jung J.
europepmc   +1 more source