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Defence Technology（防务技术） 2019年第1期15卷 72-82页

作者： Ankush Choudhary manoj kumar Deepak Rajendra Unune Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology

Submerged arc welding(SAW), owing to its high deposition rate and high welding quality, is widely used in the fabrication of pressure vessel, marine vessel, pipelines and offshore structures. However, selection of an optimum combination of welding parameters is critical in achieving high weld quality and productivity. In this work, initially, the SAW experiments were performed using fractional factorial design to analyze the effect of direct and indirect input parameters, namely, welding voltage, wire feed rate,welding speed, nozzle to plate distance, flux condition, and plate thickness on weld bead geometrical responses viz. bead width, reinforcement, and penetration. The bead on plate technique was used to deposit weld metal on AISI 1023 steel plates. The effect of SAW input parameters on response variables were analyzed using main and interaction effects. The linear regression was used to develop the mathematical models for the response variable. Then, the multi-objective optimization of input parameters was carried out using desirability approach, genetic algorithm and Jaya algorithm. The Jaya algorithm offered better optimization results as compared to desirability approach, genetic algorithm.

关键词： Submerged arc welding Optimization Regression Genetic algorithm Jaya algorithm

An analytical solution of multi-dimensional space fractional diffusion equations with variable coefficients

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第1期12卷 229-255页

作者： Pratibha Verma manoj kumar Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj 211004 Uttar PradeshIndia

In this paper,we have considered the multi-dimensional space fractional diffusion equations with variable *** fractional operators(derivative/integral)are used based on the Caputo *** study provides an analytical approach to determine the analytical solution of the considered problems with the help of the two-step Adomian decomposition method(TSADM).Moreover,new results have been obtained for the existence and uniqueness of a solution by using the Banach contraction principle and a fixed point *** have extended the dimension of the space fractional diffusion equations with variable coefficients into ***,the generalized problems with two different types of the forcing term have been included demonstrating the applicability and high efficiency of the TSADM in comparison to other existing numerical *** diffusion coefficients do not require to satisfy any certain conditions/restrictions for using the *** are no restrictions imposed on the problems for diffusion coefficients,and a similar procedures of the TSADM has followed to the obtained analytical solution for the multi-dimensional space fractional diffusion equations with variable coefficients.

关键词： Caputo fractional operators space fractional diffusion equations Riesz derivative two-step Adomian decomposition method fixed point theorem

Numerical solution for singular differential equations using Haar wavelet

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第5期11卷 31-45页

作者： Shitesh Shukla manoj kumar Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj-211004(U.P) India

The aim of this paper is to obtain the numerical solution of singular ordinary differential equations using the Haar-wavelet *** proposed method is mathematically simple and provides highly accurate *** this method,we derive the Haar operational matrix using Haar *** operational matrix is a basic tool and applied in system analysis to evaluate the numerical solution of differential *** convergence of the proposed method is discussed through its error *** illustrate the efficiency of this method,solutions of four singular differential equations are obtained.

关键词： Haar operational matrix singularity quasilinearization technique piecewise continuous function

Propagation delay and power dissipation for different aspect ratio of single-walled carbon nanotube bundled TSV

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Journal of Semiconductors 2015年第6期36卷 99-104页

作者： Tanu Goyal manoj kumar Majumder Brajesh kumar Kaushik Department of ECE IEC College of Engineering and Technology Department of E&CE Indian Institute of Technology Roorkee

Through-silicon vias （TSVs） have provided an attractive solution for three-dimensional （3D） integrated devices and circuit technologies with reduced parasitic losses and power dissipation, higher input-output （I/O） den- sity and improved system performance. This paper investigates the propagation delay and average power dissipation of single-walled carbon nanotube bundled TSVs having different via radius and height. Depending on the physical configuration, a comprehensive and accurate analytical model of CNT bundled TSV is employed to represent the via （vertical interconnect access） line of a driver-TSV-load （DTL） system. The via radius and height are used to estimate the bundle aspect ratio （AR） and the cross-sectional area. For a fixed via height, the delay and the power dissipation are reduced up to 96.2% using a SWCNT bundled TSV with AR = 300 ： 1 in comparison to AR = 6：1.

关键词： carbon nanotube through-silicon vias equivalent RLC circuit model propagation delay power-delay product area-delay product

Effect of Ficus benghalensis Latex Based Combinatorial Formulations on Various Bio-Molecules in Indian White Termite Odontotermes obesus

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Journal of Biosciences and Medicines 2023年第4期11卷 82-102页

作者： Abhishek kumar tripathi Ravi Kant Upadhyay Department of Zoology Deen Dayal Upadhyaya Gorakhpur University Gorakhpur India

In present investigation, various bioassays were conducted to evaluate the alteration in levels of certain biomolecules, such as glycogen, protein, amino acid, DNA, RNA and lipids. For this purpose, worker termites were treated with sub-lethal dose 40% and 80% of 24 hrs LD50 values and observations were taken at 4 hrs interval up to 24 hrs. Crude latex and its combinatorial mixtures, like S-MLT-A, B-MLT-A, C-MLT-A, CU-MLT-A, AQ-MLT significantly altered level of bio-molecules in Odontotermes obesus. This effect was found time and dose dependent. Reduction or increase in biomolecules was calculated by using corresponding control. Maximum decrease in glycogen level was observed at 16 h when termites were treated with 80% of LD50 of Ficus benghalensis aqueous extract i.e. 56.88% at 16 h of treatment. A similar dose caused very slight decrease in lipid contents at 4 h of treatment but it was found further significantly (p > 0.05) decreased in other successive treatments. 40% and 80% of LD50 of C-MLT-B mixture caused significant (p > 0.05) decrease in DNA and RNA level at 16 h treatment. The level of DNA and RNA level was recorded 83.90%, 90.18% and 85.42% and 74.05% respectively. Similarly, total proteins were also found to be decreased with 40% and 80% of LD50 of C-MLT-B mixture i.e. 71.47% and 66.45% respectively. All these alterations found in levels of various bio-molecules confirm the action of latex ingredients on worker termites that was antifeedant or deterrent types. These ingredients can be used to control not only termites but also other phytophagous insects in a sustainable and eco-friendly way.

关键词： Ficus benghalensis Odontotermes obesus Latexes Antifeedant or Deterrent Termiticides

Chemical and physical studies of metallic alloy-based old Indian coins with LIBS coupled with multivariate analysis

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Plasma Science and Technology 2023年第9期25卷 91-103页

作者： Vikas GUPTA Abhishekh kumar RAI Tejmani kumar Rajendhar JUNJURI G manoj kumar A K RAI Laser Spectroscopy Research Laboratory Department of PhysicsUniversity of AllahabadPrayagraj 211002India Department of Earth and Planetary Sciences University of AllahabadPrayagraj 211002India Advanced Centre of Research in High Energy Materials University of HyderabadHyderabad 500046 India Leibniz Institute of Photonic Technology Jena D-07745Germany

The present work aims to demonstrate the capabilities of Laser-induced Breakdown Spectroscopy(LIBS)coupled with a multivariate technique for rapid quantification and classification of old Indian coins made of various *** old Indian coins in different years of circulation,(1922–1986)were selected for the *** concentrations were determined by Calibration free LIBS(CF-LIBS)*** concentration of cuprum(Cu)is negligible,and aluminum(Al)is maximum in the first five coins,and vice-versa in the remaining eight *** different multivariate methods,Principal Component Analysis(PCA)and Soft Independent Modelling of Class Analogy(SIMCA)have been used to classify and identify the *** classified all thirteen samples into four main alloy *** discernment of unknown samples to their probable class membership of alloy was performed using *** surface hardness(Brinell hardness number)is linearly correlated with the plasma temperature and LIBS intensity *** sample surface of the first and fifth coin belongs to Al-alloy,having the least surface hardness,and it became harder for Cu–Ni alloy,Ni-brass alloy,and bronze *** hardness of the surface is more for bronze sample *** is also observed that the plasma temperature increases monotonically with the Brinell hardness *** analysis provides valuable information on fabrication methodology and explains large diversification in the elementary composition of old coins.

关键词： LIBS metallic alloy stoichiometric ablation PCA SIMCA old indian coins surface hardness

Multilayer perceptron and Chebyshev polynomials-based functional link artificial neural network for solving differential equations

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第2期12卷 104-119页

作者： Shagun Panghal manoj kumar Department of Mathematics Motilal Nehru National Institute of Technology Allahabad 211004 India

This paper discusses the issues of computational efforts and the accuracy of solutions of differential equations using multilayer perceptron and Chebyshev polynomials-based functional link artificial neural *** ordinary and partial differential equations have been solved by both these techniques and pros and cons of both these type of feedforward networks have been discussed in *** from that,various factors that affect the accuracy of the solution have also been analyzed.

关键词： Multilayer perceptron optimization functional link neural network trial solution Chebyshev polynomials

Toxic Effects of Ficus benghalensis Latex Based Combinatorial Formulations on Various Enzymatic Parameters in Indian White Termite Odontotermes obesus

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Advances in Enzyme Research 2023年第2期11卷 34-57页

作者： Abhishek kumar tripathi Ravi Kant Upadhyay Department of Zoology Deen Dayal Upadhyaya Gorakhpur University Gorakhpur India

In the present investigation, various bioassays were conducted to evaluate the alteration in levels of various enzymes i.e. alkaline phosphatase, acid phosphatase, glutamate oxaloacetate transaminase, glutamate pyruvate transaminase and acetylcholinesterase. For this purpose worker termites were treated with sub-lethal doses of 40% and 80% of 24 hrs LD50 of latex-based combinatorial formulations and observations were taken at 4 hours intervals up to 24 hours. Ficus benghalensis crude latex and its combinatorial mixtures, like C-MLT-A, CU-MLT-A, AQ-MLT, P-MLT and EA-MLT significantly altered the level of enzymes in Odontotermes obesus and this effect found time and dose-dependent. Reduction or increase in enzymes was calculated by using the corresponding control. The maximum decrease in acid phosphatase level was observed at 16 h when termites were treated with 80% of LD50 of B-MLT-B and P-MLT i.e. 82.84% at 16 h of treatment. A similar dose caused a very slight decrease in glutamate pyruvate transaminase at 4 h of treatment but with the increase in time. Further decrease was noted in other successive treatments that were significant at p > 0.05. Similarly, 40% and 80% of LD50 of the C-MLT-B mixture caused significant (p > 0.05) decrease in alkaline phosphatase and acid phosphatase level at 16 h treatment i.e. 93.42%, 89.46% and 95.89%, 88.17% respectively. The level of acetylcholinesterase was also found to be decreased when termites were treated with 40% and 80% of LD50 of C-MLT-B mixture i.e. 92.72% and 97.27% respectively. All the above alterations noted in levels of various enzymes confirm the action of latex ingredients on worker termites that were anti-feedant or deterrent types. These ingredients can be used to control not only termites but also other phytophagous insects.

关键词： Ficus benghalensis Enzymes Alteration Odontotermes obesus Latexes Anti-Feedant Termiticides

Positive solutions and stability of fuzzy Atangana–Baleanu variable fractional differential equation model for a novel coronavirus (COVID-19)

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第6期12卷 205-229页

作者： Pratibha Verma manoj kumar Department of Mathematics Motilal Nehru National Institute of Technology Allahabad Prayagraj 211004 Uttar PradeshIndia

This work provides a new fuzzy variable fractional COVID-19 model and uses a variablefractional operator, namely, the fuzzy variable Atangana–Baleanu fractional derivativesin the Caputo sense. Next, we explore the proposed fuzzy variable fractional COVID-19 model using the fixed point theory approach and determine the solution’s existenceand uniqueness conditions. We choose an appropriate mapping and with the help ofthe upper/lower solutions method. We prove the existence of a positive solution for theproposed fuzzy variable fractional COVID-19 model and also obtain the result on theexistence of a unique positive solution. Moreover, we discuss the generalized Hyers–Ulam stability and generalized Hyers–Ulam–Rassias stability. Further, we investigate theresults on maximum and minimum solutions for the fuzzy variable fractional COVID-19model.

关键词： Novel coronavirus(COVID-19) variable Atangana–Baleanu fractional derivative Mittag–Leffler kernel existence and uniqueness fixed point theorems Hyers–Ulam stability

Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C

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World Journal of Hepatology 2023年第1期15卷 107-115页

作者： Yuvaraj Singh Maya Gogtay Anuroop Yekula Aakriti Soni Ajay kumar Mishra Kartikeya tripathi GM Abraham Department of Internal Medicine Saint Vincent HospitalWorcesterMA 01608United States Hospice and Palliative Medicine University of Texas Health-San AntonioSan AntonioTX 78201United States Division of Cardiology Saint Vincent HospitalWorcesterMA 01608United States Division of Gastroenterology and Hepatology UMass Chan School-Baystate Medical CenterSpringfieldMA 01199United States Division of Infectious Disease Chief of MedicineSaint Vincent HospitalWorcesterMA 01608United States

BACKGROUND Hepatitis C virus is known for its oncogenic potential,especially in hepatocellular carcinoma and non-Hodgkin *** studies have shown that chronic hepatitis C(CHC)has an increased risk of the development of colorectal cancer(CRC).AIM To analyze this positive relationship and develop an artificial intelligence(AI)-based tool using machine learning(ML)algorithms to stratify these patient populations into risk groups for CRC/adenoma *** To develop the AI automated calculator,we applied ML to train models to predict the probability and the number of adenomas detected on *** sets were split into 70:30 ratios for training and internal *** Scikit-learn standard scaler was used to scale values of continuous *** findings were used as the gold standard and deep learning architecture was used to train six ML models for prediction.A Flask(customizable Python framework)application programming interface(API)was used to deploy the trained ML model with the highest accuracy as a web ***,Heroku was used for the deployment of the web-based API to https://*** Of 415 patients,206 had colonoscopy *** internal validation,the Bernoulli naive Bayes model predicted the probability of adenoma detection with the highest accuracy of 56%,precision of 55%,recall of 55%,and F1 measure of 54%.Support vector regressor predicted the number of adenomas with the least mean absolute error of *** Our AI-based tool can help providers stratify patients with CHC for early referral for screening *** with providing a numerical percentage,the calculator can also comment on the number of adenomatous polyps a gastroenterologist can expect,prompting a higher adenoma detection rate.

关键词： Machine learning Calculator Artificial intelligence Hepatitis C Screening