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Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technolog...

Abstract This study explored the adsorption of methylene blue (MB) from aqueous solutions using natural clay as an adsorbent. The effects of contact time, initial dye concentration, adsorbent dosage, and pH were systemat...

Abstract The exploration of the surrounding world and the universe is an important theme in the legacy of humankind. The detection of gravitational waves is adding a new dimension to this grand effort. What are the funda...

Abstract Accurate prediction of terrestrial water cycle variables like soil moisture (SM) and evapotranspiration (ET) is crucial, yet existing Deep Learning (DL) models face limitations. Many adopt Single-Task Learning (...

Abstract Electric cable shovel (ECS) is a complex production equipment, which is widely utilized in open-pit mines. Rational valuations of load is the foundation for the development of intelligent or unmanned ECS, since ...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...

Abstract Physical sciences are essential to the predictive modeling of complex environmental systems, particularly environmental monitoring and sustainability applications, as they provide the deterministic foundation re...

I argue for a four dimensional, non-dynamical view of space-time, where becoming is not an intrinsic property of reality. This view has many features in common with the Parmenidean conception of the universe. I discuss s...

Abstract Large language models are beginning to appear in civil engineering practice, yet their advice often reflects generalized narratives rather than local evidence. This perspective introduces a governance audit fram...

We analyse the radial pressure profiles, the intracluster medium (ICM) clumping factor and the Sunyaev-Zel'dovich (SZ) scaling relations of a sample of simulated galaxy clusters and groups identified in a set of hydrodyn...

The most important theoretical and methodological aspects of studying chemistry in general secondary education institutions have been analyzed. To gain a deeper understanding of the challenges faced by secondary educatio...

Abstract We initiate a systematic study of fragmentation energy correlators (FECs), which generalize traditional fragmentation functions and encode non-perturbative information about transverse dynamics in parton fragmen...

In cosmological first-order phase transitions, the microscopic interaction of the phase transition fronts with non-equilibrium plasma particles manifests itself macroscopically as friction forces. In general, it is a non...

Abstract Quantum theories of gravity are generally expected to have some degree of non-locality, with familiar local physics emerging only in a particular limit. Perturbative quantum gravity around backgrounds with isome...

Abstract When two non-relativistic particles interact resonantly in three dimensions, an infinite tower of three-body bound states emerges, exhibiting a discrete scale invariance. This universal phenomenon, known as the ...

Many astrophysical simulations involve extreme dynamic range of timescales around 'special points' in the domain (e.g. black holes, stars, planets, disks, galaxies, shocks, mixing interfaces), where processes on small sc...

We study several simplified dark matter (DM) models and their signatures at the LHC using neural networks. We focus on the usual monojet plus missing transverse energy channel, but to train the algorithms we organize the...

Wildfires are natural hazards that threaten ecosystems, communities, and economies, and they have shown a significant increase in frequency and intensity in recent years. Accurate wildfire spread prediction is critical f...

Abstract Accurate estimation of ground motion at the surface is fundamental to seismic hazard assessment and resilient infrastructure design. The Bangladesh National Building Code (BNBC) 2020 provides generalized seismic...

Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...

Abstract Methane hydrate dissociation along continental margins has been widely associated with global carbon cycle perturbations and climate changes. However, the relationship between hydrate dynamics, carbon cycle dist...

Abstract Although earthquakes are known to recur in approximately the same areas, their recurrence patterns and final sizes can vary considerably. To understand this variability, we analyzed a prominent sequence of repea...

Abstract Satellite estimation shows that, contrary to daily precipitation intensity whose heavier centers are almost all located over the moisture‐rich oceans, a large portion of the heavier hourly precipitation intens...

Abstract Internal tides are generated in the stratified ocean interior by the interaction of barotropic tidal currents with rough bathymetry. Low‐vertical‐mode internal tides can transport energy far from their gener...