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Journal of Semiconductors 2014年第8期35卷 52-59页

作者： Gopal Rawat Sanjay kumar Ekta Goel Mirgender kumar Sarvesh dubey S.Jit Department of Electronics Engineering Indian Institute of Technology (BHU) Varanasi India Faculty of Electronics and Communication Engineering Shri Ramswaroop Memorial University Lucknow-Deva Road India

This paper presents the analytical modeling of subthreshold current and subthreshold swing of short- channel fully-depleted （FD） strained-Si-on-insulator （SSOI） MOSFETs having vertical Gaussian-like doping pro- file in the channel. The subthreshold current and subthreshold swing have been derived using the parabolic approx- imation method. In addition to the effect of strain on silicon layer, various other device parameters such as channel length （L）, gate-oxide thickness （tox）, strained-Si channel thickness （ts_Si）, peak doping concentration （Np）, project range （Rp） and straggle （op） of the Gaussian profile have been considered while predicting the device characteris- tics. The present work may help to overcome the degradation in subthreshold characteristics with strain engineering. These subthreshold current and swing models provide valuable information for strained-Si MOSFET design. Ac- curacy of the proposed models is verified using the commercially available ATLASTM, a two-dimensional （2D） device simulator from SILVACO.

关键词： strained-Si-on-insulator (SSOI) Poisson's solution short-channel-effects

Performance Estimation of Machine Learning Algorithms in the Factor Analysis of COVID-19 Dataset

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Computers, Materials & Continua 2021年第2期66卷 1921-1936页

作者： Ashutosh kumar dubey Sushil Narang Abhishek kumar Satya Murthy Sasubilli Vicente García-Díaz Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Workday Integration Architect Huntington ColumbusOHUSA Department of Computer Science University of OviedoOviedoSpain

Novel Coronavirus Disease(COVID-19)is a communicable disease that originated during December 2019,when China officially informed the World Health Organization(WHO)regarding the constellation of cases of the disease in the city of ***,the disease started spreading to the rest of the *** this point in time,no specific vaccine or medicine is available for the prevention and cure of the *** research works are being carried out in the fields of medicinal and pharmaceutical sciences aided by data analytics and machine learning in the direction of treatment and early detection of this viral *** present report describes the use of machine learning algorithms[Linear and Logistic Regression,Decision Tree(DT),K-Nearest Neighbor(KNN),Support Vector Machine(SVM),and SVM with Grid Search]for the prediction and classification in relation to *** data used for experimentation was the COVID-19 dataset acquired from the Center for Systems Science and Engineering(CSSE),Johns Hopkins University(JHU).The assimilated results indicated that the risk period for the patients is 12–14 days,beyond which the probability of survival of the patient may *** addition,it was also indicated that the probability of death in COVID cases increases with *** death probability was found to be higher in males as compared to *** with Grid search methods demonstrated the highest accuracy of approximately 95%,followed by the decision tree algorithm with an accuracy of approximately 94%.The present study and analysis pave a way in the direction of attribute correlation,estimation of survival days,and the prediction of death *** findings of the present study clearly indicate that machine learning algorithms have strong capabilities of prediction and classification in relation to COVID-19 as well.

关键词： COVID-19 linear and logistic regression DT KNN SVM SVMwith grid search

Engineering microalgae as the next-generation food

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Systems Microbiology and Biomanufacturing 2023年第1期3卷 166-178页

作者： Anshu Baldia Deepanshi Rajput Akshay kumar Ashok Pandey Kashyap kumar dubey Bioprocess Engineering Laboratory School of BiotechnologyJawaharlal Nehru UniversityNew Delhi‑110067India Centre for Innovation and Translational Research CSIR-Indian Institute of Toxicology ResearchLucknow 226001India

Globally,microalgae are gaining attention due to their high nutritional value and broad application in the pharmaceutical,nutraceutical,food,cosmetics,bio-fertilizer,and biofuel ***-based foods have been shown a positive impact on human health by acting as antioxidants,antimicrobials,anti-inflammatory agents,and antiviral ***-up,production cost,and safety issues are the significant challenges in microalgae product ***,various techniques have been developed to overcome these challenges and to produce microalgae bio-products in a high amount and make them safe for human and animals ***,multiple techniques such as metabolic and genetic engineering have emerged to overcome these *** present review focused on the application of these engineering tools to improve biomass yield and nutrient quality in ***,these tools are proved to be very effective in enhancing the nutrients in *** success has been achieved to improve the quality at the industrial level.

关键词： Microalgae engineering Food industry Human health Sustainability

Calcium chloride linked camel milk derived casein nanoparticles for the delivery of sorafenib in hepatocarcinoma cells

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BIOCELL 2022年第1期46卷 127-136页

作者： AASTHA MITTAL NEELAM MAHALA KOWTHAVARAPU VENKATA KRISHNA UMA S.dubey SUNIL kumar dubey Department of Biological Sciences Birla Institute of Technology and SciencePilani CampusPilani(BITS-PILANI)333031India Department of Pharmacy Birla Institute of Technology and SciencePilani CampusPilani(BITS-PILANI)333031India R&D Healthcare Division Emami Ltd.Kolkata700056India

Sorafenib,a multikinase inhibitor used for the treatment of hepatocellular carcinoma,is limited by its low oral *** overcome this drawback,we have developed novel camel milk casein-derived nanoparticles as a drug delivery *** milk casein is not only biocompatible on oral administration but is actually a dietary protein of pharmaceutical *** is used because of its amphiphilic nature,self-assembling property,ability to show sustained release,and capability of encapsulating both hydrophilic and hydrophobic *** this study,camel milk casein nanoparticles loaded with sorafenib were developed and *** of casein nanoparticles was done by dynamic light scattering(DLS),zeta potential analysis,scanning light microscopy(SEM),and *** drug content in nanoparticle and drug-protein binding studies were conducted by UV *** cytotoxicity and cellular uptake efficiency studies were performed in HepG2 cell *** was observed that the cytotoxic effect of sorafenib loaded camel milk casein nanoparticles was more than free sorafenib in HepG2 *** work suggests camel milk casein as a suitable drug delivery molecule for *** the future,it may also be used in enhancing the efficacy and specific distribution of other water-insoluble anticancer drugs.

关键词： Camel milk derived casein nanoparticles Sorafenib UV spectroscopy FTIR HepG2 cells Apoptosis

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

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

Tinospora cordifolia attenuates antipsychotic drug induced hyperprolactinemia in Wistar rats

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Asian pacific Journal of Reproduction 2019年第3期8卷 132-140页

作者： Prashant Tiwari Sunil kumar dubey Pratap kumar Sahu Department of Pharmacology School of Pharmaceutical SciencesSiksha O Anusandhan(Deemed to be University)BhubaneswarOdisha751029India Department of Pharmacy Birla Institute of Technology and SciencePilaniIndia

Objective: To evaluate the anti-hyperprolactinemic effect of methanolic extract of Tinospora cordifolia against antipsychotic/neuroleptic drug induced hyperprolactinemia. Methods: A total of 48 Wistar albino rats were chosen in the study. To induce hyperprolactinemia, haloperidol at 5 mg/kg/day was intraperitoneally administered for 16 continuous days and sulpiride at 20 mg/kg/day was administered intraperitoneally for 28 continuous days. Methanolic extract of Tinospora cordifolia at 200 mg/kg/day and 400 mg/kg/day were administered orally 30 min before administration of haloperidol and sulpiride for 16 and 28 days, respectively. Then, we had evaluated prolactin, dopamine and antioxidant status in the treatment group as compared to haloperidol and sulpiride. Results: There was a significant (P<0.05) increase in serum prolactin level and decrease in dopamine level in the haloperidol and sulpiride treated animals. However, methanolic extract of Tinospora cordifolia significantly (P<0.05) decreased serum prolactin level and increased brain dopamine level. Further, superoxide dismutase and catalase level were also decreased significantly in the haloperidol and sulpiride treated groups as compared to those of the control group and the antioxidant status was restored significantly on treatment with methanolic extract of Tinospora cordifolia. Furthermore, methanolic extract of Tinospora cordifolia also reduced total leukocyte count, and increased red blood cell count and hemoglobin concentration. In addition, the spleen did not show signs of infection or inflammation in the experiments. Conclusions: Methanolic extract of Tinospora cordifolia has a significant anti-hyperprolactinemic effect which may be attributed to neuroprotective and antioxidant effects of its signature constituents like stepharanine.

关键词： Antipsychotic Neuroleptic Dopamine Prolactin Superoxide dismutase Catalase

APPROXIMATION OF FUNCTIONS BY(N,p)OPERATOR

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Analysis in Theory and Applications 1994年第2期10卷 67-73页

作者： S.N.dubey A.kumar Sanjay Gandhi Sarvodaya Science college India R. D. University India Principal Sanjay Gandhi Sarvodaya Science College Ranital Jabalpur 482002 (M. P.) India R. D. University Jabalpur

The present paper deals with finding of constant occurring in the order of approximation of the function of Lipα(O <α<1) class by using (N, p) operator. Obviously the factor 1/ (1 - α) becomes large when α is clos... 详细信息

关键词： Fourier Series Periodic Function General Operator Lipschitz Condition Trigonometric Series

Prediction of Cardiovascular Disease Using Machine Learning Technique—A Modern Approach

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Computers, Materials & Continua 2022年第4期71卷 855-869页

作者： Visvasam Devadoss Ambeth kumar Chetan Swarup Indhumathi Murugan Abhishek kumar Kamred Udham Singh Teekam Singh Ramu dubey Department of Computer Science&Engineering Panimalar Engineering CollegeAnna UniversityChennai600123India Department of Basic Science College of Science&Theoretical StudiesSaudi Electronic UniversityRiyadh-Male Campus 13316Saudi Arabia Department of Computer Science&IT JAIN(Deemed to be University)Bangalore560069India Department of Computer Science and Information Engineering National Cheng Kung UniversityTainan 701Taiwan Department of Mathematics Graphic Era Hill UniversityDehradun248002India Department of Mathematics J.C.Bose University of Science&TechnologyYMCAFaridabad121006India

Cardio Vascular disease(CVD),involving the heart and blood vessels is one of the most leading causes of death throughout the *** are several risk factors for causing heart diseases like sedentary lifestyle,unhealthy diet,obesity,diabetes,hypertension,smoking and consumption of alcohol,stress,hereditary factory *** cardiovascular disease and improving and treating the risk factors at an early stage are of paramount importance to save the precious life of a human *** present,the highly stressful life with bad lifestyle activities causes heart disease at a very young *** main aim of this research is to predict the premature heart disease based on machine learning *** paper deals with a novel approach using the machine learning algorithm for predicting the cardiovascular disease at the premature stage *** Vector Machine(SVM)is used for segregating the CVD patients based on their symptoms and medical *** experimentation results by using the proposed method will facilitate the medical practitioners to provide suitable treatment for the patients on time.A sophisticated model has been developed with the current approach to examine the various stages of CVD and the performance metrics used have given effective and fruitful results as compared to other machine learning techniques.

关键词： Machine learning support vector machine classification cardiovascular disease

In-silico and in-vitro evaluation of docetaxel and berberine as potential p53 modulating apoptotic inducers in oral squamous cell carcinoma

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Asian Pacific Journal of Tropical Biomedicine 2022年第12期12卷 530-540页

作者： Smrutipragnya Samal Rajesh kumar Meher Debasmita dubey Showkat Ahmad Mir Binata Nayak Mahesh Chandra Sahu Pradeep kumar Naik Goutam Rath Santosh kumar Swain Department of Otorhinolaryngology and Head and Neck Surgery IMS and SUM HospitalSiksha‘O’Anusandhan Deemed to be UniversityK8Kalinga NagarBhubaneswar-751003OdishaIndia Centre of Excellence in Natural Products and Therapeutics Department of Biotechnology and BioinformaticsSambalpur UniversityJyotiviharBurlaSambalpurOdishaIndia Medical Research Laboratory IMS and SUM HospitalSiksha‘O’Anusandhan Deemed to be UniversityK8Kalinga NagarBhubaneswar-751003OdishaIndia School of Life Sciences Sambalpur UnivesityJyotiviharBurlaSambalpurOdishaIndia ICMR-Regional Medical Research Centre ChandrasekharpurBhubaneswar-751023India School of Pharmaceutical Sciences Siksha‘O’Anusandhan Deemed to be UniversityBhubaneswar-751030India

Objective:To investigate the interaction of p53 with docetaxel and berberine and their anticancer activities against oral squamous cell ***:The interaction between p53 with docetaxel and berberine was investigated and their mechanisms of action against oral squamous cell carcinoma were *** studies were performed to determine any toxic impact of the drugs on the vital organs of tested ***:In silico results revealed the molecular interaction of docetaxel and berberine with p53 and the molecules were found to be potential p53 *** and berberine inhibited the proliferation of cancer cells in a concentration-dependent *** cytometry analysis revealed that docetaxel and berberine at IC50 concentrations upregulated the expression of p53 in oral squamous cell carcinoma cells,thus triggering apoptotic cell *** addition,no toxicity was observed in the liver and kidney tissues of mice after docetaxel and berberine ***:Docetaxel and berberine significantly suppressed the proliferation of oral cancer cells by activating p53 expression and causing apoptotic cell *** compounds can be potential agents for the treatment of oral cancer,with little to no toxicity at the tissue level.

关键词： Docetaxel Berberine PC-3 OVCAR-3 OSCC SCC-29B p53 Anticancer Apoptosis