Leveraging Machine Learning based Ensemble Time Series Prediction Model for Rainfall Using SVM, KNN and Advanced ARIMA+ E-GARCH

Today's precipitation is growing increasingly variable, making forecasting increasingly difficult. The Indian Meteorological Department (IMD) currently employs Composite and Stochastic approaches to forecast spring storm precipitation in Asia. As a corollary, planners are unlikely to predict the macroeconomic effects of disasters (due to excessive precipitation) or famine (less precipitation). The amount of precipitation that drops dependent on a variety of factors, including the temperature of the atmosphere, humidity, velocity, mobility, and weather conditions. This paper would then employ the Hybrid time-series predictive ARIMA+ E-GARCH (Exponential Generalized Auto-Regressive Conditional Heteroskedasticity) to predict precise runoff by taking into account different climatic considerations such as maritime tension, water content, relative dampness, min-max heat, heavy ice, geostrophic tallness, breeze patterns, soil dampness, and barometric force. In perspective of RMSE, MAE, and MSE, the proposed hybrid ARIMA+E-GARCH paradigm outperformed single simulations and latest hybrid techniques

Investigating Optimum SiO2 Nanolubrication During Turning of AISI 420 SS

AISI 420 martensitic stainless steel is used for making gas and steam turbine blades, steel balls and medical instruments, due to its anti-corrosive properties. Turning of AISI 420 SS would be a worthy procedure specifically in manufacturing high surface finish parts. In this work, effort has been made to investigate the cooling and lubricating performance of SiO2 (silicon dioxide) nanoparticles at different weight concentrations of 0.1g, 0.5g and 1g mixed in a novel developed base fluid (synthetic). The performance of optimum SiO2 based cutting fluid is evaluated based on the turning process with output responses like surface finish and cutting temperature. Taguchi technique was used with standard L9(3**4) orthogonal array. The responses, surface roughness, and cutting temperature were analyzed using S/N (signal-to-noise) and ANOVA (analysis of variance). This analysis identifies the significant input parameter combination to obtain minimum surface roughness and temperature

Memory B-cell reconstitution following allogeneic hematopoietic stem cell transplantation is an EBV-associated transformation event

Allogeneic stem cell transplantation (allo-HSCT) provides a unique opportunity to track Epstein-Barr virus (EBV) infection in the context of the reconstituting B cell system. While many allo-HSCT recipients maintain low or undetectable levels of EBV DNA post-transplant, a significant proportion exhibit elevated and rapidly increasing EBV loads which, if left untreated, may lead to potentially fatal EBV-associated post-transplant lymphoproliferative disease. Intriguingly this high level EBV reactivation typically arises in the first three months post-transplant, at a time when the peripheral blood contains low numbers of CD27(+) memory cells which are the site of EBV persistence in healthy immunocompetent donors. To investigate this apparent paradox, we prospectively monitored EBV levels and B cell reconstitution in a cohort of allo-HSCT patients for up to 12 months post-transplant. In patients with low or undetectable levels of EBV, the circulating B cell pool consisted predominantly of transitional and naïve cells, with a marked deficiency of CD27(+) memory cells which lasted more than twelve months. However, amongst patients with high EBV loads, there was a significant increase in both the proportion and number of CD27(+) memory B cells. Analysis of sorted CD27(+) memory B cells from these patients revealed that this population was preferentially infected with EBV, expressed EBV latent transcripts associated with B cell growth transformation, had a plasmablastic phenotype and frequently expressed the proliferation marker Ki-67. These findings suggest that high level EBV reactivation following allo-HSCT may drive the expansion of latently infected CD27(+) B lymphoblasts in the peripheral blood.</p