In the past and current year 2020-2021, developing construction industry was significant issue according to the negative effect of COVID-19 on increasing cement industry in cities and areas. Since cement after water is the most significant component as an in-used material of concrete, the most considerable manufactured material in the World. The cement manufacturing industry in COVID-19 pandemic situation has been more crucial and needs more scrutiny. However, the decision for locating cement plant in city is challenging and affecting more dimensions involved environmental, economic and social factors. The location selection decisions needs to grow by environmental, economic and social attributes. This study aims to present the site suitability decisions by a case study of locating a new manufacturing plant for cement production in the surrounding of Tehran, Iran regarding to COVID-19 pandemic effective impact to identify the most appropriate location for cement industry. The authors consider the combination of BWM and entropy methods to determine the weights of criteria regarding to geographic GIS and utilize COPRAS to evaluate and rank the alternative locations according to chosen criteria for suitability of cement plant.
Purpose: To analyze the effect of melatonin (MLT) on liver of pregnant rats exposed to herbicides. Methods: Thirty-five rats were randomly divided into seven equal-sized groups: control group (G1), Gramoxone® group (G2), Roundup® group (G3), Gramoxone® + Roundup® group (G4), Gramoxone® + MLT group (G5), Roundup® + MLT group (G6) and Gramoxone® + Roundup® + MLT group (G7). Samples of blood and hepatic tissue were collected at the end of the pre-embryonic stage. Body weight, hematological parameters and histopathological and biochemical analyses of the liver were evaluated. Results: Body weight was compromised (P< 0.001). Alterations of hematologic parameters were significant (P< 0.001). Biochemically, serum levels of albumin decreased (P< 0.001), but serum levels of alanine aminotransferase, aspartate aminotransferase and alkaline phosphatase increased (P< 0.001). Histopathology revealed necrotic hepatocytes, portal and central-lobular inflammatory infiltrate, congestion of capillaries. The groups treated concomitantly with MLT revealed results similar to those of the control: body weight (P< 0.05), hematological parameters (P< 0.001), biochemical analyses (P< 0.001), except in group seven, which was partial. Conclusion: MLT acted as a protective agent for the liver against experimentally induced hepatic toxicity by enhancing the normalization of body weight, and hematological and biochemical parameters.
Insulation defects are tested by the measurement of Partial Discharge (PD), to ensure the operating condition and to identify the premature damage in transformers. PD data measured from the transformers are generally a sequence of pulses But PD pulses are coupled with varied types of noise during measurement such as white noise, pulse shaped interference and discrete spectral interferences which may leads to false interpretations. So, for decades, denoising of PD signal still pose challenges as they should retain its characteristics and features. In this paper, a competent hybrid scheme WT-GA (Wavelet based Genetic Algorithm) is introduced to optimize wavelet threshold parameters for denoising of PD signal. The proposed technique is first applied to remove White Gaussian Noise (WGN) in the simulated PD data and later treated on the real environment where PD signals are corrupted with real noise (conducted noise from supply). The comparative analysis of the proposed technique results with wavelet soft, hard, and scale dependent (WT-ST, WT-HT & WT-SD) and EMD Based Wavelet (EMD-WT) are found to have beneficial results that leads to the further enhancement. The proposed method is further evaluated in terms of the statistical metrics such as Signal to Noise Ratio (SNR), Cross-Correlation (CC), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The data is collected from the SASTRA HIGH VOLTAGE LAB and the results prove the efficiency of the algorithm with PSNR value 25.2587.