Results 271 to 280 of about 236,714 (368)

Food waste, date labels, and risk preferences: An experimental exploration

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract This study provides theoretical and experimental evidence that consumers adjust their premeditated food waste by date labels and their risk and loss preferences. The “Use by” date label leads to more premeditated food waste than “Best by” for deli meat and spaghetti sauce.
Norbert Lance Weston Wilson   +1 more
wiley   +1 more source

Sexuality and health issues of women with physical disabilities

open access: bronze, 1994
Fae H. Garden   +3 more
openalex   +1 more source

The effect of geographical denomination on the uptake of fungus‐resistant grapes

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract Grape production for wine making is of great economic and cultural importance in Europe, but is heavily dependent on pesticides. Reducing pesticide use and associated risks is a policy goal in several countries, particularly in Europe. The most effective strategy to substantially reduce pesticide use in grape production is the planting of ...
Lucca Zachmann   +2 more
wiley   +1 more source

Perceptions of sex education among college students: A case study of a medical school. [PDF]

open access: yesWorld J Psychiatry
Lv SY   +8 more
europepmc   +1 more source

Increasing sedentary time, minimum dietary energy requirements, and food security assessment

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract We compute corrections for sedentary behavior in physical activity levels (PALs) and incorporate them along with corrections for over estimation of basal metabolic rates (BMRs) into threshold caloric intakes, known as minimum dietary energy requirements (MDERs).
Jacob Michels   +2 more
wiley   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev   +3 more
wiley   +1 more source

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