Machine Learning and Dynamic Econometrics Uncover Asia-Pacific Food System Vulnerabilities
A hybrid analytical study of 23 Asia-Pacific nations reveals that food import dependency amplifies drought-induced vulnerability by roughly 40 percent ...
A hybrid analytical study of 23 Asia-Pacific nations reveals that food import dependency amplifies drought-induced vulnerability by roughly 40 percent ...
A new machine learning and GIS assessment reveals that over 71 percent of the West Bengal coast faces moderate to ...
A mixed-methods study in Ethiopia identifies how health literacy, stigma, and health-seeking behaviors intersect to increase scabies vulnerability among street ...
Ecological niche modeling indicates that climate change will contract suitable habitats for two endemic Iranian Salvia species while altering range ...
A geophysical and hydrochemical investigation in Lagos, Nigeria, confirmed that pipeline leakages have contaminated local groundwater where overburden geological layers ...
By treating vulnerability and resilience as complementary rather than opposing concepts, the study provides a nuanced view of regional disparities ...
A mixed-methods study in Ethiopia's Nuer Zone identified key environmental and socioeconomic determinants of household flood vulnerability, finding floodplain residence ...
A new study combines causal analysis and a twelve-indicator composite index to assess water-energy-food nexus vulnerability across Canadian provinces and ...
A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify vulnerabilities in Python code with Macro-F1 ...
A qualitative study of ten Aga Khan Award for Architecture projects argues that responsive architecture in the Global South should ...
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© 2026 Scienmag - Science Magazine