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Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm

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Frontiers in Energy 2013年第4期7卷 495-505页

作者： Sunil DHINGRA Gian BHUSHAN kashyap kumar dubey University Institute of Engineering and Technology Kurukshetra University Kurukshetra 136119 India National Institute of Technology Kurukshetra 136119 India University Institute of Engineering and Technology Maharshi DayanandUniversity Rohtak 124001 India

This paper described the production of karanja biodiesel using response surface methodology （RSM） and genetic algorithm （GA）. The optimum combination of reaction variables were analyzed for maximizing the biodiesel yield. The yield obtained by the RSM was 65% whereas the predicted value was 70%. The mathematical regression model proposed from the RSM was coupled with the GA. By using this technique, 90% of the yield was obtained at a molar ratio of 38, a reaction time of 8 hours, a reaction temperature of 40 ℃, a catalyst concentration of 2% oil, and a mixing speed of 707 r/min. The yield produced was closer to the predicted value of 94.2093%. Hence, 25% of the improvement in the biodiesel yield was reported. Moreover the different properties of karanja biodiesel were found closer to the American Society for Testing ＆ Materials （ASTM） standard of biodiesel.

关键词： optimization of karanja biodiesel genetic algorithm (GA) response surface methodology (RSM) percentage improvement in the biodiesel yield properties of biodiesel

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using non-dominated sorting genetic algorithm-II

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Frontiers of Mechanical Engineering 2014年第1期9卷 81-94页

作者： Sunil Dhingra Gian Bhushan kashyap kumar dubey Department of Mechanical Engineering University Institute of Engi-neering and Technology Kurukshetra University Kttnakshetra Department of Mechanical Engineering National Institute of Technolo-gy Kurukshetra Department of Biotechnology University Institute of Engineering andTechnology Maharshi Dayanand University Rohtak

The present work studies and identifies the different variables that affect the output parameters involved in a single cylinder direct injection compression ignition （CI） engine using jatropha biodiesel. Response surface methodology based on Central composite design （CCD） is used to design the experiments. Mathematical models are developed for combustion parameters （Brake specific fuel consumption （BSFC） and peak cylinder pressure （Pmax））, performance parameter brake thermal efficiency （BTE） and emission parameters （CO, NOx, unburnt HC and smoke） using regression techniques. These regression equations are further utilized for simultaneous optimization of combustion （BSFC, Pmax）, performance （BTE） and emission （CO, NOx, HC, smoke） parameters. As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi- objective optimization problem is formulated. Non- dominated sorting genetic algorithm-II is used in predict- ing the Pareto optimal sets of solution. Experiments are performed at suitable optimal solutions for predicting the combustion, performance and emission parameters to check the adequacy of the proposed model. The Pareto optimal sets of solution can be used as guidelines for the end users to select optimal combination of engine outputand emission parameters depending upon their own requirements.

关键词： jatropha biodiesel fuel properties responsesurface methodology multi-objective optimization non-dominated sorting genetic algorithm-II

Helicobacter pylori isolated from gastric juice have higher pathogenic potential than biopsy isolates

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Genes & Diseases 2024年第1期11卷 34-37页

作者： Budhadev Baral Dharmendra kashyap Nidhi Varshney Tarun Prakash Verma Ajay kumar Jain Debi Chatterji Vinod kumar Amit Mishra Awanish kumar Hem Chandra Jha Infection Bioengineering Group Department of Biosciences and Biomedical EngineeringIndian Institute of Technology IndoreSimrolIndoreMadhya Pradesh 453552India Choithram Hospital and Research Center IndoreMadhya Pradesh452014India Department of Metallurgy Engineering and Materials Science Indian Institute of Technology IndoreSimrolIndoreMadhya Pradesh 453552India Department of Bioscience&Bioengineering Indian Institute of Technology JodhpurNH 65 Nagaur RoadJodhpur DistrictKarwarRajasthan 342037India Department of Biotechnology National Institute of Technology RaipurGE RoadRaipurChhattisgarh 492010India

Persistent gastritis induced by Helicobacter pylori(***)is the strongest known risk factor for gastric cancer(GC).*** is prevalent in about 50%world's population,while it causes cancer in less than 2%of exposed individuals.1 Our studies found that *** infection can induce oncogenic properties in AGS cells by deregulating multiple factors associated with the cell cycle,apoptosis,and other important events associated with cancer progression.

关键词： H.pylori pylori Helicobacter

Fertilization and Soil Ploughing Practices under Changing Physical Environment Lead to Soil Organic Carbon Dynamics under Conservation Agriculture in Rice-Wheat Cropping System: A Scoping Review

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Agricultural Sciences 2024年第1期15卷 82-113页

作者： Salwinder Singh Dhaliwal Arvind kumar Shukla Sanjib kumar Behera Sarwan kumar dubey Agniva Mandal Mehakpreet Kaur Randhawa Sharanjit Kaur Brar Gagandeep Kaur Amardeep Singh Toor Sohan Singh Walia Priyadarshani Arun Khambalkar Department of Soil Science Punjab Agricultural University Ludhiana India Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya Gwalior India Indian Institute of Soil Science (ISSS) Bhopal India Indian Council of Agricultural Research—Central Soil Salinity Research Institute (ICAR-CSSRI) Karnal India Department of Agricultural Chemistry and Soil Science Bidhan Chandra Krishi Viswavidyalaya Mohanpur India Department of Crop and Soil Sciences Washington State University Pullman USA School of Organic Farming Punjab Agricultural University Ludhiana India Department of Soil Science Rajmata Vijayaraje Sciendia Krishi Viswa Vidalaya Gwalior India

Ploughing and fertilization practices in rice-wheat system have deteriorated the soil carbon (C) pools. Conservation agriculture (CA) based management approaches have proven to enhance C sequestration and reverse the loss of soil-organic-carbon (SOC), which further enhances soil fertility. Different fractions of SOC pools react to the alterations in management practices and indicate changes in SOC dynamics as compared to total C in the soil. Higher SOC levels in soil have been observed in case of reduced/no-till (NT) practices than conventional tillage (CT). However, between CT and zero tillage/NT, total SOC stocks diminished with an increase in soil depth, which demonstrated that the benefits of SOC are more pronounced in the topsoil under NT. Soil aggregation provides physical protection to C associated with different-sized particles, thus, the improvement in soil aggregation through CA is an effective way to mitigate soil C loss. Along with less soil disturbance, residual management, suitable crop rotation, rational application of manures and fertilizers, and integrated nutrient management have been found to be effective in not only improving soil C stock but also enhancing the soil health and productivity. Thus, CA can be considered as a potential method in the build-up of SOC of soil in rice-wheat system.

关键词： Tillage Conservation Agriculture Soil Organic Carbon Carbon Fractions Rice-Wheat System Organic Amendments

Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not:A systematic review and meta-analysis

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World Journal of Methodology 2024年第3期14卷 141-162页

作者： Kinza Iqbal Akshat Banga Taha Bin Arif Sawai Singh Rathore Abhishek Bhurwal Syeda Kisa Batool Naqvi Muhammad Mehdi Pankaj kumar Mitali Madhu Salklan Ayman Iqbal Jawad Ahmed Nikhil Sharma Amos Lal Rahul kashyap Vikas Bansal Juan Pablo Domecq Department of Internal Medicine Dow Medical CollegeKarachi 74200Pakistan Department of Internal Medicine Sawai Man Singh Medical CollegeJaipur 302004India Department of Internal Medicine Dr.Sampurnanand Medical CollegeJodhpur 342003RajasthanIndia Department of Gastroenterology and Hepatology Rutgers Robert Wood Johnson School of MedicineNew BrunswickNJ 08901United States Department of Internal Medicine Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical SciencesRohtak 124001HaryanaIndia Department of Nephrology and Hypertension Mayo ClinicRochesterMN 55905United States Department of Medicine Division of Pulmonary and Critical Care MedicineMayo ClinicRochesterMN 55905United States Department of Research Wellspan HealthYorkPA 17403United States

BACKGROUND Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019(COVID-19)*** is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 *** To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 *** A Literature search was performed on LitCovid PubMed,WHO,and Scopus databases from inception(December 2019)till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with *** primary outcome was the risk of thromboembolic events in COVID-19 patients taking *** outcomes included COVID-19 disease severity,in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection,and *** random effects models were used to calculate crude and adjusted odds ratios(aORs)with 95%confidence intervals(95%CIs).RESULTS Forty-six observational studies met our inclusion *** unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk[n=43851,9 studies,odds ratio(OR)=0.67(0.22,2.07);P=0.49;I2=95%].The association between prior anticoagulation and disease severity was non-significant[n=186782;22 studies,OR=1.08(0.78,1.49);P=0.64;I2=89%].However,pre-hospital anticoagulation significantly increased all-cause mortality risk[n=207292;35 studies,OR=1.72(1.37,2.17);P<0.00001;I2=93%].Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk[aOR=0.87(0.42,1.80);P=0.71],mortality[aOR=0.94(0.84,1.05);P=0.31],and disease severity[aOR=0.96(0.72,1.26);P=0.76].CONCLUSION Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events,improved survival,and lower disease seve

关键词： Prior anticoagulation COVID-19 Prehospital anticoagulation Chronic anticoagulation Mortality Severity Thromboembolic events

Anti-cancer effects of sitagliptin,vildagliptin,and exendin-4 on triple-negative breast cancer cells via mitochondrial modulation

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BIOCELL 2022年第12期46卷 2645-2657页

作者： POOJA JAISWAL VERSHA TRIPATHI ANSHUL ASSAIYA DHARMENDRA kashyap RAHUL dubey ANAMIKA SINGH JANESH kumar HEM CHANDRA JHA RAJESH SHARMA AMIT kumar DIXIT HAMENDRA SINGH PARMAR School of Biotechnology Devi Ahilya UniversityIndore452001India Laboratory of Membrane Protein Biology National Centre for Cell SciencePune411007India Department of Biosciences and Biomedical Engineering Indian Institute of TechnologyIndore452020India Department of Biotechnology IPS AcademyIndore452012India School of Pharmacy Devi Ahilya UniversityIndore452001India Central Council for Research in Ayurvedic Sciences Kolkata263645India

Triple-negative breast cancer(TNBC)cell line MDA-MB-231 is known for Warburg metabolism and defects in *** the other hand,dipeptidyl peptidase-IV(DPP-IV)inhibitors such as sitagliptin and vildagliptin and GLP-1 agonist exendin-4 are known to improve mitochondrial functions as well as biogenesis,but no study has evaluated the influence of these drugs on mitochondrial biogenesis on metastatic breast cancer cell *** have recently reported anticancer effects of 5-aminoimidazole-4-carboxamide riboside on MDA-MB-231 cells via activation of AMP-dependent kinase(AMPK),which activates the downstream transcription factors PGC-1α,PGC-1β,or FOXO1 for mitochondrial biogenesis;above-mentioned incretin-based therapies are also known to activate *** study evaluated the effects of sitagliptin,vildagliptin,and exendin-4 on MDA-MB-231 cells and the underlying changes in mitochondrial biogenesis,were *** with sitagliptin(100μM),vildagliptin(100μM),and exendin-4(10 nM)for 72 h to MDA-MB-231 cells led to a decrease in viability indicated by MTT assay,cell migration by scratch,and transwell migration assays,accompanied with marginal reduction in cell numbers along with the apoptotic appearance,the rate of apoptosis,and decreased lactate content in conditioned *** changes in the cancer phenotype were accompanied by an increase in the mitochondrial DNA to nuclear DNA ratio,increased MitoTracker green and red staining,and increased expression of transcription factors PGC-1α,NRF-1,NRF-2,TFAM,and ***-treatment of cells with these incretin-based drugs followed by 48 h treatment with 1μM doxorubicin increased doxorubicin sensitivity as observed by a decrease in viability by MTT ***,sitagliptin,vildagliptin,and exendin-4 exert their beneficial effects on TNBC cells via an increase in mitochondrial biogenesis that helps to switch Warburg metabolism into anti-Warburg *** response was in the order of:sitagliptin>vildagliptin>ex

关键词： Sitagliptin Vildagliptin Exendin-4 Apoptosis Migration Viability Chemo-sensitivity Mitochondrial biogenesis

Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms

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Computers, Materials & Continua 2022年第3期70卷 4523-4543页

作者： Ashutosh kumar dubey Umesh Gupta Sonal Jain Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Institute of Engineering and Technology JK Lakshmipat UniversityJaipurIndia

This study aims to empirically analyze teaching-learning-based optimization(TLBO)and machine learning algorithms using k-means and fuzzy c-means(FCM)algorithms for their individual performance evaluation in terms of clustering and *** the first phase,the clustering(k-means and FCM)algorithms were employed independently and the clustering accuracy was evaluated using different *** the second phase,the non-clustered data obtained from the first phase were preprocessed with *** was performed using k-means(TLBO-KM)and FCM(TLBO-FCM)(TLBO-KM/FCM)*** objective function was determined by considering both minimization and maximization ***-clustered data obtained from the first phase were further utilized and fed as input for threshold *** benchmark datasets were considered from theUniversity of California,Irvine(UCI)Machine Learning Repository for comparative study and *** are breast cancer Wisconsin(BCW),Pima Indians Diabetes,Heart-Statlog,Hepatitis,and Cleveland Heart Disease *** combined average accuracy obtained collectively is approximately 99.4%in case of TLBO-KM and 98.6%in case of *** approach is also capable of finding the dominating *** findings indicate that TLBO-KM/FCM,considering different computational measures,perform well on the non-clustered data where k-means and FCM,if employed independently,fail to provide significant *** different feature sets,the TLBO-KM/FCM and SVM(GS)clearly outperformed all other classifiers in terms of sensitivity,specificity and ***/FCM attained the highest average sensitivity(98.7%),highest average specificity(98.4%)and highest average accuracy(99.4%)for 10-fold cross validation with different test data.

关键词： K-means FCM TLBO TLBO-KM TLBO-FCM TLBO-KM/FCM machine learning algorithms

Evaluation of thermostable endoglucanase in Paenibacillus lautus strain BHU3 for yield enhancement

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Systems Microbiology and Biomanufacturing 2022年第4期2卷 607-622页

作者： Suman Yadav Anand kumar Pandey Suresh kumar dubey Molecular Ecology Laboratory Centre of Advanced Study in BotanyInstitute of ScienceBanaras Hindu UniversityVaranasi 221005India Department of Biotechnology Engineering Institute of Engineering and TechnologyBundelkhand UniversityJhansi 284128India

In the present study,Paenibacillus lautus strain BHU3 isolated from landfill soil was evaluated for the presence of potential endoglucanases which are the first candidate of cellulase enzyme system to act on ***-silico analysis revealed high potential thermostable endoglucanases which can efficiently interact with *** most potent and thermostable endoglucanase(locus tag ***30_18280)belonged to glycosyl family-5 and had interaction energy of−12.981 kcal/mol for the best docked cluster containing three out of ten docking conformations,and Tm value of 73.3℃.MD simulation of 100 ns proved highly stable binding interactions of CPZ30_18280 endoglucanase with cellulose with root mean square deviation(RMSD)values ranging from 0.15 to 0.30 *** interactions with characteristic active site residues(tyrosine,tryptophan and aspartate)of glycosyl family-5 endoglucanases were ***,to enhance the production of endoglucanases,the fermentation conditions were optimized employing approaches like one factor at a time(OFAT)and response surface methodology(RSM).Maximum activity of endoglucanase was determined at 60℃.The optimized condi-tions for enhanced production of endoglucanase(10.15 U/mL)were pH 6.63,yeast extract conc.3.44 g/L,wheat bran 3.59%,and inoculum size 2.65%.Hence,*** strain BHU3 has enormous potential to synthesize highly efficient thermostable endoglucanases under optimized regime using ***,it could find immense industrial applications including large scale cellulose conversion to bioethanol.

关键词： Agrowastes Cellulose RAST Endoglucanase Paenibacillus lautus

Biochar-mediated removal of pharmaceutical compounds from aqueous matrices via adsorption

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Waste Disposal and Sustainable Energy 2023年第1期5卷 37-62页

作者： Sahil Chauhan Tajamul Shafi Brajesh kumar dubey Shamik Chowdhury School of Environmental Science and Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal721302India Department of Civil Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal721302India

Pharmaceutical is one of the noteworthy classes of emerging contaminants. These biologically active compounds pose a range of deleterious impacts on human health and the environment. This is attributed to their refractory behavior, poor biodegradability, and pseudopersistent nature. Their large-scale production by pharmaceutical industries and subsequent widespread utilization in hospitals, community health centers, and veterinary facilities, among others, have significantly increased the occurrence of pharmaceutical residues in various environmental compartments. Several technologies are currently being evaluated to eliminate pharmaceutical compounds (PCs) from aqueous environments. Among them, adsorption appears as the most viable treatment option because of its operational simplicity and low cost. Intensive research and development efforts are, therefore, currently underway to develop inexpensive adsorbents for the effective abatement of PCs. Although numerous adsorbents have been investigated for the removal of PCs in recent years, biochar-based adsorbents have garnered tremendous scientific attention to eliminate PCs from aqueous matrices because of their decent specific surface area, tunable surface chemistry, scalable production, and environmentally benign nature. This review, therefore, attempts to provide an overview of the latest progress in the application of biochar for the removal of PCs from wastewater. Additionally, the fundamental knowledge gaps in the domain knowledge are identified and novel strategic research guidelines are laid out to make further advances in this promising approach towards sustainable development.

关键词： Pharmaceuticals Adsorption Adsorbents Biochar Wastewater treatment