Optimized PID controller and model order reduction of reheated turbine for load frequency control using teaching learning-based optimization.

Load frequency control (LFC) systems in power grids face challenges in maintaining stability while managing computational complexity. This research presents an optimized approach combining model order reduction techniques with Teaching Learning-Based Optimization (TLBO) for PID controller tuning in single-area LFC systems. Three reduction methods-Routh Approximation, Balanced Truncation, and Hankel Norm Approximation-were implemented to reduce system order from 4th to 2nd order, achieving a 47.

COVID pandemic analysis using Auto- Regression-Based moving average method.

COVID (Corona Virus) 2019 proved to be a pandemic worldwide, with more than 30 lakhs of life's in danger and more than 2 lakh people dead as of 01 May 2020. The disease is spreading across the world in various phases, with assumptions of having an impact based on the weather conditions, where the true reason is not yet confirmed. However, several precautionary measures such as maintaining social distancing, covering mouth and hands using masks and gloves, avoiding huge public gatherings to attend conferences, meetings, worship places, etc proved to put a pause on the spread of this air-borne contagious disease.

Clinical profile and outcome of stroke in relation to glycaemic status of patients.

The present study was undertaken in 50 patients of acute stroke to assess the role of glycaemic status on clinical profile and outcome of stroke. Subjects were divided into two groups: Group 1--Comprising of 25 patients of acute ischaemic stroke; Group 2--Comprising of 25 patients of acute haemorrhagic stroke. Each group was subdivided into euglycaemics, stress hyperglycaemics, newly diagnosed diabetics and known diabetics subgroups (stress hyperglycaemics, newly diagnosed diabetics and known diabetics together were called hyperglycaemics).