Results 161 to 170 of about 158,440 (309)

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

Agribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez, Olga Isengildina Massa, Michael Liam Smith, Nicole Olynk Widmar   +3 more
wiley   +1 more source

Modification of the existing maximum residue levels for acequinocyl in celeries, Florence fennel and rhubarb. [PDF]

EFSA J
European Food Safety Authority (EFSA), Bellisai G, Bernasconi G, Castellan I, Del Aguila M, Ferreira L, Leuschner R, Mioč A, Szot M, Tiramani M, Verani A.   +10 more
europepmc   +1 more source

How Crop Forecast Similarity, Government Policies, and Macroeconomic Conditions Affect WASDE Forecast Accuracy

Agribusiness, EarlyView.
ABSTRACT The U.S. Department of Agriculture's (USDA) World Agricultural Supply and Demand Estimates (WASDE) play a central role in how agricultural commodity markets process information about supply, demand, and prices. This study examines how global and domestic shocks, as well as policy interventions, are reflected in the similarity of WASDE ...
Zhining Sun, Rabail Chandio, Ani L. Katchova   +2 more
wiley   +1 more source

Young children's perspectives of time: New directions for co‐constructing understandings of quality in ECEC

British Educational Research Journal, EarlyView., 2023
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð, Anna Magnea Hreinsdóttir, Adrijana Visnjic‐Jevtic, Alison Clark   +3 more
wiley   +1 more source

Mapping global resource driven nature loss in the mining sector from 2001 to 2022. [PDF]

Nat Commun
Cheng YT, Hoang NT, Shinoda Y, Islam K, Motoshita M, Kadoya T, Kanemoto K.   +6 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Further adaptation of cross-commodity purchase task methodology: The impact of preference rank on demand. [PDF]

Exp Clin Psychopharmacol
Weinsztok SC, Reed DD, Amlung M.
europepmc   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Understanding the implementation, impact and sustainability of Bristol's unhealthy commodity advertising restrictions policy: a qualitative systems-based study of stakeholder perspectives. [PDF]

BMJ Public Health
Harding SK, Nobles J, Horwood J, Brockman R, Buckland G, Toumpakari Z, Nairn A, Blake S, Cummins S, Jago R, Sillero Rejon C, de Vocht F.   +11 more
europepmc   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source