Assessing the Impact of Promotions on Consumer Purchasing Behavior During Crises
ABSTRACT Understanding how households modify their food expenditure decisions during times of crisis is essential because consumer purchasing behavior frequently changes during these times. This study looks at these behavioral shifts during the COVID‐19 pandemic, concentrating on how price sensitivity and response to sales promotions changed over the ...
Wafa Mehaba, José María Gil
wiley +1 more source
Towards building climate-resilient health systems and communities: a clarion call to increase investments in public health disaster risk reduction in Africa. [PDF]
Olu OO.
europepmc +1 more source
Bona Fide Intersegmental Plane Hepatectomy Along the Glissonean Branches (BIPHG)
ABSTRACT This review traces the author's personal journey over three decades in the evolution of liver resection techniques, culminating in the proposal of the Bona Fide Intersegmental Plane Hepatectomy Along Glissonean Branches (BIPHG). Beginning with pioneering experiences in laparoscopic and robotic liver surgeries, the author highlights key ...
Go Wakabayashi, Taiga Wakabayashi
wiley +1 more source
Assessing Institutional Capacities for Flood Disaster Risk Reduction [PDF]
CGIAR Challenge Program on Water and Food
core
Disability-inclusive disaster risk reduction in schools: A confirmatory factor analysis. [PDF]
Rofiah NH, Kawai N, Hayati EN.
europepmc +1 more source
National Health-Oriented Hazard Assessment in Iran Based on the First Priority for Action in Sendai Framework for Disaster Risk Reduction 2015-2030. [PDF]
Khankeh H +3 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Dissemination and participation in early warnings and disaster risk reduction in South Africa. [PDF]
Muhame C, Ncube A, Bahta YT.
europepmc +1 more source

