Prediction of Individual Gas Yields of Supercritical Water Gasification of Lignocellulosic Biomass by Machine Learning Models.

Supercritical water gasification (SCWG) of lignocellulosic biomass is a promising pathway for the production of hydrogen. However, SCWG is a complex thermochemical process, the modeling of which is challenging via conventional methodologies. Therefore, eight machine learning models (linear regression (LR), Gaussian process regression (GPR), artificial neural network (ANN), support vector machine (SVM), decision tree (DT), random forest (RF), extreme gradient boosting (XGB), and categorical boosting regressor (CatBoost)) with particle swarm optimization (PSO) and a genetic algorithm (GA) optimizer were developed and evaluated for prediction of H, CO, CO, and CH gas yields from SCWG of lignocellulosic biomass.

Catalytic Supercritical Water Gasification of Canola Straw with Promoted and Supported Nickel-Based Catalysts.

Lignocellulosic biomass such as canola straw is produced as low-value residue from the canola processing industry. Its high cellulose and hemicellulose content makes it a suitable candidate for the production of hydrogen via supercritical water gasification. However, supercritical water gasification of lignocellulosic biomass such as canola straw suffers from low hydrogen yield, hydrogen selectivity, and conversion efficiencies.

A Review of the Design and Performance of Catalysts for Hydrothermal Gasification of Biomass to Produce Hydrogen-Rich Gas Fuel.

Supercritical water gasification has emerged as a promising technology to sustainably convert waste residues into clean gaseous fuels rich in combustible gases such as hydrogen and methane. The composition and yield of gases from hydrothermal gasification depend on process conditions such as temperature, pressure, reaction time, feedstock concentration, and reactor geometry. However, catalysts also play a vital role in enhancing the gasification reactions and selectively altering the composition of gas products.

A Study of the Effect of Pre-emptive Oral Clonidine on Intraoperative Haemodynamics and Surgical Field Quality During Functional Endoscopic Sinus Surgery Under General Anaesthesia.

Introduction For endoscopic sinus surgery for rhinosinusitis, pre-emptive Alpha 2 agonist clonidine has been used to reduce sympathetic output, which lowers blood pressure and consequently surgical bleeding. The aim of this study was to analyze the effects of oral clonidine premedication in patients undergoing functional endoscopic sinus surgery. Methods This study was performed between December 2020 to November 2022 among two groups of 30 patients each: clonidine (200 μgm oral) and placebo.

An unusual case of dengue infection presenting with hypokalemic paralysis with hypomagnesemia.

Neurological manifestations are unusual in dengue fever and can be due to neurotropic effect, systemic complications of dengue infection, or immune mediated. Acute hypokalemic paralysis is a rare systemic complication of dengue infection; however, hypokalemia along with hypomagnesemia has not been reported earlier. We herein report an extremely unusual and probably the first case of dengue infection in a 30-year-old male who presented to us with hypokalemic paralysis along with hypomagnesemia.

The enigma of transient splenial hyperintensity: In cryptococcal meningitis.

Transient hyperintensity in splenium of corpus callosum is a relatively infrequent finding in MRI. Although it has been most consistently linked with frequent seizure episodes, many other possible causes have been proposed by different workers. Cryptococcal meningitis as a cause of transient splenial hyperintensity has never been reported till date.