Nanocomposites are characterized as a multiphase material where one of the phases has a dimension in the nanoscale.There has been huge enthusiasm for the commercialization of nanocomposites for an assortment of uses including medicinal, electronic, and basic.The general motivation behind this study was on the development of silver nanoparticles, du
ST Elevation Myocardial Infarction Complicated by Cardiogenic Shock: Systematic Review of Survival Predictors
Background: Cardiogenic shock complicating acute myocardial infarction is associated with reduced survival despite advancements in the treatment of acute coronary syndromes.Characterizing predictors of morbidity and mortality in this setting is crucial to improving risk stratification and management.Notwithstanding, the interplay of factors determi
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease.This process goes hand in hand with advancements Home Fragrances in the theory of neuronal networks and increasing availability of detailed anatomical data on brain connectivity.Large-scale models that study i
Cylindrical neutrosophic single-valued number and its application in networking problem, multi-criterion group decision-making problem and graph theory
In this study, the authors envisage the neutrosophic number from various distinct rational perspectives and viewpoints to give it a look of a conundrum.They focused and analysed neutrosophic fuzzy numbers when indeterminacy and falsity functions are dependent on each other, which serves an indispensable role for the uncertainty concept.Additionally
Re-Clustering Documents to Enhance Search Accuracy with Imbalanced Abbreviation Data
Abbreviation ambiguity poses significant challenges when searching academic literature.This study evaluated the accuracy of clustering algorithms on imbalanced datasets with varying ratios of target groups.A corpus consisting of 1052 papers focused on the study of abbreviations.The "MSA" dataset was clustered using TF-IDF, cosine similarity, and k-