THERMAL AND SOLUTAL PERFORMANCE ANALYSIS FEATURING FULLY DEVELOPED CHEMICALLY REACTING MICRO-ROTATIONAL CONVECTIVE FLOW IN AN OPEN-ENDED VERTICAL CHANNEL

Thermal and solutal performance analysis featuring fully developed chemically reacting micro-rotational convective flow in an open-ended vertical channel

The effects of a baffle and chemical reaction Trash Pickers (first-order) on liquid flow in an upright double-passage channel were studied using regular perturbation analysis.Each of the two streams has its pressure gradient, temperature and velocity, and the channel is partitioned into two channels by a thin baffle that is fully conductive and fla

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SUMO proteins in the cardiovascular system: friend or foe?

Abstract Post-translational modifications (PTMs) are crucial for the adaptation of various signalling pathways to ensure cellular homeostasis and proper adaptation to stress.PTM is a covalent addition of a TENS Therapy small chemical functional group such as a phosphate group (phosphorylation), methyl group (methylation), or acetyl group (acetylati

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Apolipoprotein A-I Milano: sex-related differences in the concentration and composition of apoA-I- and apoB-containing lipoprotein particles.

The presence of apolipoprotein (apo) A-IMilano (A-IM) mutant of apoA-I has a marked effect on plasma lipoproteins of A-IM carriers including variable hypertriglyceridemia, increased levels of very low density lipoproteins (VLDL), slightly elevated levels of triglyceride-enriched low density lipoproteins (LDL) and greatly reduced levels of high dens

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Adversarial Online Learning With Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity

We extend the adversarial/non-stochastic multi-play multi-armed bandit (MPMAB) to the case where the number of arms to play is variable.The work is Humidity Cover Support motivated by the fact that the resources allocated to scan different critical locations in an interconnected transportation system change dynamically over time and depending on th

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Hydrocarbon reservoir potential mapping through Permeability estimation by a CUDNNLSTM Deep Learning Algorithm

Potential mapping of Permeability is a crucial factor in determining the productivity of an oil and gas reservoirs.Accurately estimating permeability is essential for optimizing production and reducing operational costs.In this study, we utilized the CUDNNLSTM algorithm to estimate reservoir permeability.The drilling core data were divided into a t

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