Results 311 to 320 of about 23,446,041 (341)
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
Toward Reuse‐Ready PV: A Perspective on Recent Advances, Practices, and Future Challenges
This perspective study sheds light on current research and future challenges toward higher PV reuse readiness in PV industry. It highlights qualification methods, PV repair strategies, and standardization efforts for PV reuse. A four‐step example of triage‐for‐reuse framework is discussed, as well as recent advances in PV repair strategies for reuse ...
Ioannis (John) A. Tsanakas+8 more
wiley +1 more source
The catalytic conversion of CO2 into value‐added products provides an emerging strategy for reducing carbon emissions and improving environmental performance. This review compares different Life Cycle Assessment studies to evaluate the environmental impacts of CO2 conversion, focusing on the main challenges, technical limitations, and potential ...
Anastasia Pappa+3 more
wiley +1 more source
Hydrogen is an energy carrier, produced from renewable and nonrenewable resources. It can be stored in a variety of materials and transported to distant locations. This article reviews progress in hydrogen technology by looking at environmental and economic impact, cost analysis, and policy support at government level as way forward for bringing it to ...
Xuexue Pan+5 more
wiley +1 more source
Risk Factors and Predictive Models for Sarcopenia in Older Adults
Independent risk factors for sarcopenia identified by Lasso regression and logistic regression in the study were BMI, prealbumin, albumin/globulin ratio (A/G ratio), serum creatinine, and phosphorus. These factors were used to construct a nomogram model and a decision tree model. Both models showed effectiveness in predicting sarcopenia in older adults,
Shiyuan Zhang+9 more
wiley +1 more source
ABSTRACT Objective The incidence of intraductal papillary mucinous neoplasm (IPMN) is rising among elderly patients. This study aims to investigate the clinical features of IPMN in elderly patients (≥ 60 years), analyze risk factors for high‐grade dysplasia (HGD) and invasive cancer (IC), and provide treatment recommendations for elderly patients with ...
Tianhan Sun+8 more
wiley +1 more source
Predictive Accuracy of a Hierarchical Logistic Model of Cumulative SARS-CoV-2 Case Growth
Kriston L.
europepmc +1 more source
TAMING COVID-19 EPIDEMIC IN SÃO PAULO WITH A LOGISTIC MODEL AND NON-PHARMACEUTICAL MEASURES
Marchesin M.
europepmc +1 more source