AI Learns Geochemistry: New Explainable Model Targets Rare Earth Deposits
Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...
Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...
A five-year Malaysian cohort study found that hypertension screening and diagnosis improved markedly between 2013 and 2018, yet treatment rates ...
A new econometric study shows that Malaysia's COVID-19 lockdown stringency significantly reduced imports from China, while China's own containment measures ...
A new Malaysian study finds mammographic density accounts for nearly a third of the country's breast cancer burden, with elevated ...
A new study of over 3,500 fish from Terengganu waters, Malaysia, reveals that Indian mackerel, Indian scad and goldstripe sardinella ...
Researchers report the first molecular confirmation of Haemaphysalis shimoga and Haemaphysalis bispinosa ticks on captive Sambar deer in Malaysia, including ...
A survey of 398 Malaysian adventure tourists in Gopeng, Perak shows that emotional attachment to a destination consistently predicts satisfaction, ...
New evidence shows youth mental health difficulties in Malaysia have doubled since 2019, prompting a multi-sectoral push to adapt a ...
A decade-spanning review of 179 studies reveals that more than half of Malaysian adults are overweight or obese, while the ...
A Malaysia-focused input–output study identifies the industries where green finance could best reduce carbon-transition risks without destabilizing interconnected supply chains.
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine