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We reassess the capacity for multimessenger inference of AT2017gfo/GW170817 using both kilonova and gravitational wave emission within the context of a recent simulation-based surrogate model for kilonova emission. Indep...

We study the intermittency properties of the energy and helicity cascades in two 15363 direct numerical simulations of helical rotating turbulence. Symmetric and antisymmetric velocity increments are examinedas well as p...

To determine the pharmacologic activity of (-)-lobeline between human (h)α4β2 and hα4β4 nicotinic acetylcholine receptors (AChRs), functional and structural experiments were performed. The Ca2+ influx results establi...

The article is devoted to reviewing the main methods of practice-oriented teaching of medical students at the Department of Internal Medicine No. 1, Clinical Immunology and Allergology named after Academician Y. M. Neyko...

Technological advances have led to the prevalence of small unmanned aerial systems (sUAS) which has proven to be a security concern for fixed facilities to include prisons, airports, and forward operating bases. This stu...

Abstract Given the escalating challenges of water scarcity and climate change, enhancing water productivity is crucial for achieving water security, particularly in arid regions with finite water resources. This study as...

Underwater radiated noise (URN) from submarine propulsors requires reliable flow prediction as a prerequisite for cavitation and acoustic analyses. This study validates a computational fluid dynamics (CFD) workflow to pr...

Drug-induced cardiac arrhythmias are central to physiology and pharmacology education, yet students often struggle to connect electrophysiological mechanisms with dynamic electrocardiographic (ECG) changes. We developed ...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

Abstract The multicomponent thermal fluid (MTF) process is a pivotal technology for enhancing heavy oil recovery. However, its injection often triggers particle migration and deposition within reservoirs, leading to perm...

We report here the virtual screening design, synthesis and activity of eight new inhibitors of SphK1. For this study we used a pre-trained Graph Convolutional Network (GCN) combined with docking calculations. This explor...

Abstract Background Malaria, whose parasites are transmitted by Anopheles mosquitoes, remains a major public health burden in Madagascar despite the control measures led by the National Malaria Control Program. Understan...

Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

Abstract This study presents a novel hybrid methodology combining machine learning (ML) with conventional reservoir simulation to optimize waterflooding in the geologically complex Bahariya Formation, Western Desert, Egy...

This study is aimed to assess the added value of Regional Climate Models (RCMs) with respect to their driving Global Climate Models (GCMs) focused on the behavior of precipitation over South America (SA) at different tem...

A refinement method is proposed to solve the difference in the macroscopic elasticity and the interpenetration in interface area between different particle-size areas in the DEM. In simulations of 3D DEM large-scale prob...

The standard method for spectrum analysis is the Discrete Fourier Transform(DFT), typically implemented using a Fast Fourier Transform (FFT) algorithm. However, certain applications require an on-line spectrum analysis o...

Cancer cells have an altered metabolism that increases acid production driving to an extracellular pH significantly lower than normal. This leads to normal cell death, and extracellular matrix degradation allowing the fo...

This paper describes the next-generation ocean forecast model for the European north-west shelf, which will become the basis of operational forecasts in 2018. This new system will provide a step change in resolution and ...

The present work provides a parametric simulation tool to assist the experimental deposition of GaN and Ge-GaN material. For this purpose, a kinetic Monte Carlo (kMC) model was developed and implemented to simulate the d...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

Computational modeling of protein-protein interactions (PPIs) is a high priority because it is essential for understanding nearly all cellular functions and for addressing the limitations of time-consuming experimental m...

Introduction. The stability of grid-connected inverters is critical for the integration of renewable energy into modern power systems. However, this stability is significantly challenged under weak grid conditions, chara...

Recent years have seen many arguments for cosmic rays (CRs) as an important influence on galactic and circumgalactic (CGM) physics, star and galaxy formation. We present a pedagogical overview of state-of-the-art modelin...