AI weather foundation models now achieve forecast skill comparable to numerical weather prediction at far lower computational cost, yet their predictability for high-impact extremes across dynamical r...
In this paper, we propose a novel frequency-severity joint trip-level risk index that combines the frequency of abnormal driving patterns with a severity component reflecting how extreme such behavior...
Data scarcity is a primary obstacle in developing robust Machine Learning (ML) models for detecting rapidly intensifying tropical cyclones. Traditional data augmentation techniques (rotation, flipping...
Marine heatwaves (MHWs) threaten marine ecosystems and significantly impact weather patterns. In the Arabian Sea, summer MHWs are of particular concern due to their potential impacts on the Indian sum...
The freight industry is undergoing a digital revolution, with an ever-growing volume of transactions being facilitated by digital marketplaces. A core capability of these marketplaces is the fulfillme...
Ride-hailing platforms increasingly rely on non-exclusive notifications-broadcasting a single request to multiple drivers simultaneously-to mitigate inefficiencies caused by uncertain driver acceptanc...
Direct air carbon capture and storage (DACCS) is a promising CO2 removal technology, but its deployment at scale remains speculative. Yet, its technological, economic, and policy-related uncertainties...
Cross-cutting commenting on social media is often imagined as a path to deliberation, yet exposure to opposing views frequently fuels hostility. To explain this dynamic, we introduce the concept of pa...
Human driving behavior is inherently personal, which is shaped by long-term habits and influenced by short-term intentions. Individuals differ in how they accelerate, brake, merge, yield, and overtake...
Large Arctic rivers transport substantial amounts of freshwater, carbon (C), and nutrients from land to the Arctic Ocean and play an important role in continental-ocean biogeochemical coupling. Althou...
The Arctic stratospheric polar vortex (SPV) is known to influence winter surface climate through dynamical coupling. Here, we demonstrate that beyond this established pathway, variations in SPV streng...
The proliferation of antibiotic resistance in marine ecosystems represents a critical One Health challenge, particularly within coastal habitats that receive anthropogenic inputs. This study presents ...
Global superanoxia is widely accepted as one of the main drivers of the end–Permian Mass Extinction (EPME) alongside, oceanic acidification, productivity collapse, and toxification. However, modeling ...
Characterizing how biodiversity has changed through Earth's history and uncovering the processes that have driven those changes remain a significant challenge. Haar fluctuation analysis, a recently de...
Mercury (Hg) is a global contaminant that biomagnifies in food webs, raising concerns for food safety, fisheries exploitation, and wildlife conservation. Fish, including apex predators like sharks, ar...
Hydrological dynamics are fundamental drivers of estuarine ecosystem structure and functioning, directly regulating fish assemblage abundance, species richness and functional redundancy. Using a 24-ye...
Understanding mercury dynamics in invasive marine predators is essential for evaluating both ecological risks and human consumption safety. This study quantified total mercury (THg) and methylmercury ...
Mercury (Hg) is a toxic metal that biomagnifies through food webs, posing ecological and human health risks. The anchovy (Engraulis ringens), a key forage fish in the Humboldt Current System, sustains...
The increasing accumulation of low-density polyethylene (LDPE) waste in the environment poses a growing threat to natural ecosystems due to its resistance to degradation. In this study, bacterial isol...
Identifying the causal effects of socioeconomic determinants on population health is of many great interests - from statistical methodology development to public health practitioners and policy develo...
