Vehicle simulations of fuel economy for an automatic transmission and a ratio limited continuously variable transmission

An automatic transmission (AT) of a vehicle was compared with a ratio limited Continuously Variable Transmission (CVT). Dynamic model of a passenger car was simulated to compare the overall efficiency of the vehicle equipped with these different types of transmissions. The overall efficiencies were calculated in terms of fuel consumption of the vehicle. The results are based on the Environmental Protection Agency\u27s (EPA) city and highway driving cycles. A Modular approach is taken to model an existing vehicle. The complete model is subdivided into an engine model, road load model, throttle and brake pedal models, and a transmission model. The model is simulated in MATLAB/Simulink software. The automatic transmission model was then replaced by a CVT model and simulated under similar conditions to compare the overall gain in the fuel economy. The simulation results for the automatic transmission closely match with the data obtained from the EPA. The results for the ratio limited CVT indicate improvement in the fuel economy of the vehicle under both the urban and highway driving cycles

Defluoridation of Ground Water Using Activated Carbon of Ber (Indian Jujube) Leaves

The present study deals with defluoridation of ground water using activated carbon of ber (Indian jujube) leaves. In this study, Activated Ber leaves carbon (ABLC) prepared by heating the leaves in electric furnace was found to be useful for the removal of fluoride. Batch experiments were applied on water sample to study the influence of pH, adsorbent dose and contact time on adsorption efficiency. Fluoride removal reached a maximum of 72.5% by particle size 0.3mm of ABLC at pH 6.0. The adsorption of fluoride from aqueous solution with ABLC followed Freundlich equation. The values of adsorption capacity (K) and intensity of adsorption (1/n) indicate greater affinity for fluoride. Thermally activated Ber leaves carbon (ABLC) was good adsorbent

C-reactive protein (CRP) and Lactate Dehydrogenase (LDH) as diagnostic and early prognostic marker of adverse disease outcomes in critical COVID-19 patients

Background: We used standard laboratory test to determine tissue injury and inflammatory state on the physiological condition of fever, cough, headache in 672 patients tested for CRP and 407 patients tested for LDH out of a total of 994 COVID-19 admissions during the period of April 2021-September 2021 at Parul Sevashram Hospital, Vadodara. The data was stratified based on the survivor/non-survivor status and severity of disease condition based on Ward or ICU admissions. The results were correlated with the vales of serum CRP and LDH levels for determining their prognostic significance. Patients and Methods: This is a retrospective, single-centre, observational study using the data collected from MRD division through electronic records and standardized data collection template. It included patients who were tested for CRP and LDH at times of admission. Mean, Standard deviation, Median and Interquartile range (IQR) were used to present continuous variables. Student’s t-test was used for testing differences between the two groups applicable. For study of single variables, Z-score was performed. The SPSS version 16 software was used for performing linear regression in this study and statistical analysis was done. &nbsp