Results 21 to 30 of about 118 (118)
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar+2 more
wiley +1 more source
Root‐knot nematode (RKN) disease seriously affects the yield and quality of vegetable crops. SlDOF9‐SlSWEET17 model helps plants resist RKN infection during early stage by switching off the sugar transport capacity of other SlSWEET proteins that are hijacked by RKNs.
Xiaoyun Wang+14 more
wiley +1 more source
The continental‐scale study reveals that soil phosphorus strongly predicts the richness of soil pathogenic oomycetes in Chinese grasslands, while precipitation and plant species richness drive their absolute abundance; modeling predicts ≈42% of grassland areas may face elevated oomycete disease risk under future climate scenarios, especially in typical
Junsheng Ke+10 more
wiley +1 more source
Hygroscopic hydrogels are capable of utilizing the moisture from air, which can transfer the gaseous water to liquid by a surface phase transition. Taking advantage of this water, sustainable water production, thermal management, and electricity generation can be realized.
Yujie Du+5 more
wiley +1 more source
US employment exposure to domestic and foreign tariff changes under NAFTA
Abstract Literature examining the effects of changes in trade agreements and import competition on US employment and wages has focused primarily on non‐agricultural industries and changes in US import tariffs. We propose a method for measuring worker exposure to changes in agricultural tariffs using a newly developed county‐level dataset of employment ...
Diane E. Charlton+3 more
wiley +1 more source
Increasing sedentary time, minimum dietary energy requirements, and food security assessment
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
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
Exploring the relationship between growth in online shopping and multichannel food consumers
Abstract During the pandemic, many food retailers began offering online shopping options, primarily in reaction to rising consumer demand for such options, which was a response to supply chain disruptions and fear of contagion and food scarcity.
Mackenzie Gill, Dawn Thilmany
wiley +1 more source
This study investigates the impact and cost‐competitiveness of rooftop solar power in a highly hydropower‐driven northern energy system toward 2050. The role of rooftop photovoltaics (PV) is assessed under different energy transition pathways and through a sensitivity analysis aiming to disclose important barriers to PV investments in the energy system.
Stine Fleischer Myhre, Eva Rosenberg
wiley +1 more source
This study aims to provide actionable recommendations for leveraging digital innovation for the achievement of scalable, equitable, and transparent Net Zero Energy Transition by offering actionable recommendations. As a result of this comprehensive analysis, the review highlights the critical interplay between digital technologies and GF as vital ...
Furkan Ahmad+3 more
wiley +1 more source