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Geoscience Frontiers 2024年第3期15卷 259-271页

作者： Suleman Sarwar Ghazala Aziz aviral k.mar tiwari Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Department of Business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Indian Institute of Management BodhgayaIndia

The current study examines the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price *** main contribution is focused on eastern region of Saudi Arabia,a relatively hottest geographical area full of energy resources but with different electricity consumption *** relative irrelevance of temperature as predicting factor of electricity consumption is quite surprising and contradicts the previous *** the eastern region,electricity price has negative association with electricity *** comparing traditional and machine learning,it is found that machine learning techniques offer better *** the machine learning techniques,the support vector machine has the lowest errors in forecasting the electricity ***,the support vector machine approach is used to forecast the trend of carbon emissions caused by electricity *** findings have policy implications and offer valuable suggestions to policymakers while addressing the determinants of electricity consumption and forecasting electricity prices.

关键词： Electricity consumption Carbon emission Artificial neural network Support vector machine Saudi Arabia

Resource savings,recycling and utilization,and energy transition:Introduction

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Geoscience Frontiers 2024年第3期15卷 180-182页

作者： Xin Zhao Umer Shahzad aviral k.mar tiwari School of Statistics and Applied Mathematics Anhui University of Finance and EconomicsBengbu 233030China School of Economics Széchenyi Istvàn UniversityHungary Adnan kassar School of Business Lebanese American UniversityBeirutLebanon Indian Institute of Management Bodh Gaya Bodh GayaBiharIndia

In the context of increasingly tight constraints on global resources and environment,accelerating the conservation and recycling of fossil fuels and other mineral resources have become significant *** promoting the transformation of energy development mode,and making efficient use of coal,oil,natural gas,iron ore,potassium salts,phosphate,sulfur and other mineral resources have become important issues in energy planning and energy *** the framework of Sustainable Development Goals,it is urgent and critical to investigate the relationship between geological resource saving,recycling and modern energy systems,which is an important step to establish a complete system of efficient use of natural resources.

关键词： energy transition recycling

Energy-growth nexus for‘Renewable Energy Country Attractiveness Index’countries:Evidence from new econometric methods

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Geoscience Frontiers 2024年第3期15卷 298-311页

作者： Mandeep Mahendru aviral k.mar tiwari Gagan Deep Sharma Solomon Nathaniel Mansi Gupta Szechenyi Istvan University GyorHungary Indian Institute of Management BodhgayaIndia University School of Management Studies Guru Gobind Singh Indraprastha UniversitySector 16 CDwarkaNew DelhiIndia Department of Economics University of LagosAkokaNigeria Centre for Financial Innovation S P Jain Institute of Management and ResearchMumbaiIndia

This study explores the connections between renewable energy consumption(REC),non-renewable energy consumption(NREC),gross fixed capital formation(GFCF),the labor force(LF),and economic growth(GDP)in Renewable Energy Country Attractiveness Index(RECAI)countries for *** quantify the nexus between REC,NREC,and GDP while utilizing a production model framework and including the measures of labor and capital,for suggesting a phase-wise strategy to attain the sustainable development *** use robust methodologies including Lagrange Multiplier(LM)panel unit root tests with trend shifts,Westerlund cointegration test,LM bootstrap technique for cointegration with breaks,continuously updated fully modified(CUP-FM)and continuously updated bias-corrected(CUPBC)estimators,Augmented Mean Group(AMG)approach,fully modified ordinary least squares,dynamic ordinary least squares,Canonical Cointegrating Regression(CCR),and panel causality test proposed by Canning&*** compute non-parametric time-varying coefficients with fixed effects for seeing the impact of GFCF,LF,REC,and NREC on *** results press upon policymakers to shift toward clean energy and REC for attaining the environmental goals(SDGs 6,7,13,and 15)and the economic goals(SDGs 1,2,8,and 10).While this shift would help developed economies,which have already attained the economic goals,to progress on the front of environmental goals,it would enable developing countries to progress on both fronts in a balanced manner.

关键词： Renewable energy consumption Economic growth Non-renewable energy consumption CUP-BC CUP-FM Time-varying coefficients with fixed effects

Epidemiological Study of Rapidly Emerging Uropathogens Isolated from Urinary Catheter and Its Influential Demographic Factors Responsible for Contamination

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Advances in Microbiology 2020年第12期10卷 713-729页

作者： Anjali A. tiwari Niraj Ghnawate Yogesh khalshinge Department of Microbiology Sant Gadge Baba Amravati University Amravati India

Urinary tract infections (UTI) are very common in all the developed as well as developing countries in which the majority of infections are catheter associated. Catheter associated urinary tract infections (CAUTI) is one of the major causes of hospital acquired infections. The aim of this study is to investigate influential demographic factors responsible for contamination associated with the rate of CAUTI, while taking into account type of urinary catheter used, the most common organisms found, patient diagnosis, age, gender, and comparison with other studies. During the study, 22 uropathogenic species were isolated from the different segments of urinary catheter samples of the patients collected from 12 different hospitals of Amravati city, Maharashtra, India from January 2015 to 2018. Gram negative organisms were the most frequent isolates, with Pseudomonas aeruginosa (16.08%) being the most common followed by Escherichia coli (10%) and Candida albicans accounted for almost 11% of all the uropathogens. It was found that the majority of uropathogens were isolated from the section A (Catheter segment inside the bladder) and section E (Catheter segment connected to drainage tube) of the urinary catheter. The duration of the catheterization plays the major role in the contamination and further infection to continue. It was observed that the female catheterized patients are more prone to the contamination and infection as compared to male catheterized patient. The antibiotic sensitivity pattern indicates that mar (Multiple Antibiotic Resistance) index was more than 0.2 for almost all the uropathogens tested concluding that there is antibiotic stress on uropathogens and rate of resistance increased rapidly. Also it was found that there was a statistically significant association between the duration of catheterization, type of disease, age of patient and type of catheter with respect to gender.

关键词： CAUTI Uropathogens Urinary Tract Infection Urinary Catheter Contamination