Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications.

In the field of soil mechanics, especially in transportation and environmental geotechnics, the use of machine learning (ML) techniques has emerged as a powerful tool for predicting and understanding the compressive strength behavior of soils especially graded ones.This is to overcome the sophisticated equipment, laboratory space and cost needs uti

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Stacking order and driving forces in the layered charge density wave phase of 1T-MX2 (M = Nb, Ta and X = S, Se)

The group-V transition metal dichalcogenides (TMD) have attracted a lot of research due to their unique structures and rich physical properties.In these materials, charge density waves (CDW) are still the subject worthy of in-depth research despite being a popular issue.Based on first principles, the stacking effect of the T- MX _2 (M = Nb, Ta and

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Completing the BASEL phage collection to unlock hidden diversity for systematic exploration of phage-host interactions.

Research on bacteriophages, the viruses infecting bacteria, has fueled the development of modern molecular biology and inspired their therapeutic application to combat bacterial multidrug resistance.However, most work has so far focused on a few model phages which impedes direct applications of these findings in clinics and suggests that a vast pot

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Criteria for Diagnosis of Familial Hypercholesterolemia: A Comprehensive Analysis of the Different Guidelines, Appraising their Suitability in the Omani Arab Population

Subjects with Familial hypercholesterolemia are at increased risk for cardiac events such as premature myocardial infarction and early death from coronary heart disease, especially in patients with severe forms of the disease if left unattended.Therefore, there is an ardent need for the early Source Naturals diagnosis followed by aggressive therape

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