Results 61 to 70 of about 13,831 (255)

The UK Gambling White Paper: comments on implementation and timing

Comprehensive Psychiatry, 2023
Samuel R. Chamberlain, Konstantinos Ioannidis, Henrietta Bowden-Jones   +2 more
doaj   +1 more source

Illusion of control and passion mediate the relationship between winning exposure and problem lottery gambling in a multigroup analysis

Scientific Reports
Previous studies have highlighted the key role of winning exposure in problem lottery gambling. However, little is known about the mechanisms underlying this relationship, particularly in mainland China.
Yue Hu, Xinyu Cai
doaj   +1 more source

Relationship Between Knowledge and Compliance With Safety Measures: Evidence From COVID‐19

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Compliance with health safety protocols is important for protecting public health, particularly in agricultural sectors where disease outbreaks can disrupt production and market access. Despite its economic significance, we know little about what drives protocol compliance.
Nilufer Cetik, Carola Grebitus, Lauren Chenarides   +2 more
wiley   +1 more source

The Impacts of Health and Environmental Information Nudges on Meat Choices: Where Does Goat Meat Fit?

Agribusiness, EarlyView.
ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal, Sunil P. Dhoubhadel, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source

Growth of Omnichannel Grocery Retailing and Food Prices

Agribusiness, EarlyView.
ABSTRACT This paper examines the effects of the growth of omnichannel grocery retailing on food prices. We first develop a conceptual model of consumer choice and retailer pricing that allows us to evaluate changes in equilibrium prices, quantities, and profits with online channel growth and alternative pricing strategies.
Xiangwen Kong, Metin Çakır, Qingxiao Li   +2 more
wiley   +1 more source

Measuring Gambling Reinforcers, Over Consumption and Fallacies: The Psychometric Properties and Predictive Validity of the Jonsson-Abbott Scale

Frontiers in Psychology, 2017
Traditionally, gambling and problem gambling research relies on cross-sectional and retrospective designs. This has compromised identification of temporal relationships and causal inference.
Jakob Jonsson, Max W. Abbott, Anders Sjöberg, Per Carlbring   +3 more
doaj   +1 more source

Import Wheat Tenders and the Effects of the Russian Invasion

Agribusiness, EarlyView.
ABSTRACT Risk and volatility for many commodities escalated sharply following the Russian invasion of Ukraine, creating numerous uncertainties for trading firms and importers. The purpose of this study is to analyze the bidding behavior in Egyptian wheat import tenders in the pre‐ and post‐invasion periods.
William W. Wilson, Sumadhur Shakya, Isaac Dubovoy   +2 more
wiley   +1 more source

Assessing Haitian Consumers' Willingness to Pay a Premium for Aflatoxin‐Compliant Peanut Butter in the Informal Market

Agribusiness, EarlyView.
ABSTRACT Market‐based solutions are increasingly tested to address aflatoxin issues in peanuts in developing countries. Although previous studies have found that Haitian grocery store shoppers are willing to pay a 21% premium for peanut butter with levels of aflatoxin that meet international standards, no information is available for the much larger ...
Phendy Jacques, Stevens Azima, Maurice Doyon   +2 more
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source