Results 261 to 270 of about 490,565 (325)
The impact of climate change induced natural disasters on healthcare: Rethinking intravenous fluids. [PDF]
Cerceo EA, Liu KT, Brown EKH, Chen C.
europepmc +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
Ecological Threats and Cultural Systems : Epidemics and Natural Disasters Do Not Predict Collectivism. [PDF]
Shapouri S, Rafiee Y.
europepmc +1 more source
JOINT NATURAL DISASTERS RISK FINANCING IN ROMANIA – AN ECONOMIC STABILITY FACTOR
Gabriel Arthur Zelinschi
openalex +1 more source
Disastrous Disasters: Restoring Civil Rights Protections for Victims of the State in Natural Disasters [PDF]
Dayna Bowen Matthew
openalex
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
Mitigating the Impact of Natural Disasters on Public Finance
D. Hofman
openalex +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
The role of psychiatry in areas affected by natural disasters. [PDF]
Weber CAT, da Silva AG.
europepmc +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

