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Seismic response evaluation of base-isolated reinforced concrete buildings under bidirectional excitation

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Earthquake Engineering and Engineering Vibration 2017年第2期16卷 365-382页

作者： Satish bhagat Anil C Wijeyewickrema Department of Civil and Environmental Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan

This paper reports on an investigation of the seismic response of base-isolated reinforced concrete buildings, which considers various isolation system parameters under bidirectional near-fault and far-fault motions. Three-dimensional models of 4-, 8-, and 12-story base-isolated buildings with nonlinear effects in the isolation system and the superstructure are investigated, and nonlinear response history analysis is carried out. The bounding values of isolation system properties that incorporate the aging effect of isolators are also taken into account, as is the current state of practice in the design and analysis of base-isolated buildings. The response indicators of the buildings are studied for near-fault and far-fault motions weight-scaled to represent the design earthquake （DE） level and the risk-targeted maximum considered earthquake （MCER） level. Results of the nonlinear response history analyses indicate no structural damage under DE-level motions for near-fault and far-fault motions and for MCER-level far-fault motions, whereas minor structural damage is observed under MCER- level near-fault motions. Results of the base-isolated buildings are compared with their fixed-base counterparts. Significant reduction of the superstructure response of the 12-story base-isolated building compared to the fixed-base condition indicates that base isolation can be effectively used in taller buildings to enhance performance. Additionally, the applicability of a rigid superstructure to predict the isolator displacement demand is also investigated. It is found that the isolator displacements can be estimated accurately using a rigid body model for the superstructure for the buildings considered.

关键词： Keywords: base isolation bidirectional excitation bounding analysis far-fault ground motion near-fault groundmotion nonlinear analysis

Contraceptive effect of Curcuma longa (L.) in male albino rat

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Asian Journal of Andrology 2004年第1期6卷 71-74页

作者： Purohit Ashok bhagat Meenakshi Reproductive Physiology Section Department of Zoology JNV University Jodhpur (Raj.) 342005 IndiaReproductive Physiology Section Department of Zoology JNV University Jodhpur (Raj.) 342005 India

Aim: To study the contraceptive effect of the crude extracts of Curcuma longa in male albino rats. Methods: Rats were fed orally with Curcuma longa aqueous and 70 % alcoholic extract for 60 days (500 mg·kg-1· day-1). Results: A reduction in sperm motility and density was observed in both the treated groups. Conclusion: Curcuma longa may have affected the androgen synthesis either by inhibiting the Leydig cell function or the hypo-thalamus pituitary axis and as a result, spermatogenesis is arrested.

关键词： Leydig cells Curcuma longa seminiferous tubules antiandrogens spermatozoa male contraception

Sentiment Analysis on Social Media Using Genetic Algorithm with CNN

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Computers, Materials & Continua 2022年第3期70卷 5399-5419页

作者： Dharmendra Dangi Amit bhagat Dheeraj Kumar Dixit Department of Mathematics and Computer Applications Maulana Azad National Institute of Technology(MANIT)BhopalMadhya PradeshIndia

There are various intense forces causing customers to use evaluated data when using social media platforms and microblogging ***,customers throughout the world share their points of view on all kinds of topics through these *** massive volume of data created by these customers makes it impossible to analyze such data ***,an efficient and intelligent method for evaluating social media data and their divergence needs to be ***,various types of equipment and techniques are available for automatically estimating the classification of *** analysis involves determining people’s emotions using facial *** analysis can be performed for any individual based on specific *** present study describes the analysis of an image dataset using CNNswithPCA intended to detect people’s sentiments(specifically,whether a person is happy or sad).This process is optimized using a genetic algorithm to get better ***,a comparative analysis has been conducted between the different models generated by changing the mutation factor,performing batch normalization,and applying feature reduction using *** steps are carried out across five experiments using *** maximum accuracy obtained is 96.984%,which is associated with the Happy and Sad sentiments.

关键词： Sentiment analysis convolutional neural networks facial expression genetic algorithm

Fake News Classification Using a Fuzzy Convolutional Recurrent Neural Network

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Computers, Materials & Continua 2022年第6期71卷 5733-5750页

作者： Dheeraj Kumar Dixit Amit bhagat Dharmendra Dangi Department of Mathematics and Computer Applications Maulana Azad National Institute of Technology(MANIT)BhopalMadhya PradeshIndia

In recent years,social media platforms have gained immense *** a result,there has been a tremendous increase in content on social media *** content can be related to an individual’s sentiments,thoughts,stories,advertisements,and news,among many other content *** the recent increase in online content,the importance of identifying fake and real news has ***,there is a lot of work present to detect fake news,a study on Fuzzy CRNN was not explored into this *** this work,a system is designed to classify fake and real news using fuzzy *** initial feature extraction process is done using a convolutional recurrent neural network(CRNN).After the extraction of features,word indexing is done with high ***,based on the indexing measures,the ranking process identifies whether news is fake or *** fuzzy CRNN model is trained to yield outstanding resultswith 99.99±0.01%*** work utilizes three different datasets(LIAR,LIAR-PLUS,and ISOT)to find the most accurate model.

关键词： Fake news detection text classification convolution recurrent neural network fuzzy convolutional recurrent neural networks

Geometric grid network and third-order compact scheme for solving nonlinear variable coefficients 3D elliptic PDEs

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第6期9卷 72-99页

作者： Navnit Jha Venu Gopal bhagat Singh Department of Mathematics South Asian University ChanakyapuriNew Delhi 110070India The School of Mathematical Sciences University of Science and Technology of China Hefei Anhui 230026P.R.China

By using nonuniform(geometric)grid network,a new high-order finite-difference compact scheme has been obtained for the numerical solution of three-space dimensions partial differential equations of elliptic *** cell discretization to the elliptic equation makes it easier to compute and exhibit stability of the numerical *** monotone and irreducible property of the Jacobian matrix to the system of difference equations analyses the converging behavior of the numerical solution *** an experiment,applications of the compact scheme to Schr¨odinger equations,sine-Gordon equations,elliptic Allen–Cahn equation and Poisson’s equation have been presented with root mean squared errors of exact and approximate solution *** results corroborate the reliability and efficiency of the scheme.

关键词： Finite-difference method nonuniform grid compact operator monotone matrix sine-Gordon equation elliptic Allen-Cahn equation.

Crime forecasting:a machine learning and computer vision approach to crime prediction and prevention

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Visual Computing for Industry,Biomedicine,and Art 2021年第1期4卷 76-89页

作者： Neil Shah Nandish bhagat Manan Shah Department of Computer Engineering Sal Institute of Technology and Engineering ResearchAhmedabadGujarat 380060India Department of Chemical Engineering School of TechnologyPandit Deendayal Energy UniversityGandhinagarGujarat 382426India

A crime is a deliberate act that can cause physical or psychological harm,as well as property damage or loss,and can lead to punishment by a state or other authority according to the severity of the *** number and forms of criminal activities are increasing at an alarming rate,forcing agencies to develop efficient methods to take preventive *** the current scenario of rapidly increasing crime,traditional crime-solving techniques are unable to deliver results,being slow paced and less ***,if we can come up with ways to predict crime,in detail,before it occurs,or come up with a“machine”that can assist police officers,it would lift the burden of police and help in preventing *** achieve this,we suggest including machine learning(ML)and computer vision algorithms and *** this paper,we describe the results of certain cases where such approaches were used,and which motivated us to pursue further research in this *** main reason for the change in crime detection and prevention lies in the before and after statistical observations of the authorities using such *** sole purpose of this study is to determine how a combination of ML and computer vision can be used by law agencies or authorities to detect,prevent,and solve crimes at a much more accurate and faster *** summary,ML and computer vision techniques can bring about an evolution in law agencies.

关键词： Machine learning Computer vision Crime forecasting

Secure workflow scheduling in cloud environment using modified particle swarm optimization with scout adaptation

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第1期9卷 74-95页

作者： P.Sanyasi Naidu Babita bhagat Department of Computer Science and Engineering Gitam University Visakhapatnam 530045Andhra PradeshIndia Department of Computer Engineering Pillai HOC College of Engineering and TechnologyRasayaniKhalapur 410207MaharashtraIndia

In the distributed data-intensive computing environment,securely assigning tasks to appropriate machines is a big job scheduling *** complexity of this problem increases with the number of jobs and their job *** meta-heuristic algorithms including particle swarm optimization(PSO)technique and variable neighborhood particle swarm optimization(VNPSO)technique are employed to solve the problem to a certain *** paper proposes a modified PSO with scout adaptation(MPSO-SA)algorithm,which uses a cyclic term called mutation operator,to solve the job scheduling problem in the cloud *** comparative study between the proposed MPSO-SA scheduling mechanism and the conventional scheduling algorithms show that the proposed method decreases the probability of security risk on scheduling the jobs.

关键词： Cloud scheduling meta-heuristic MPSO-SA GA PSO VNPSO

Comparative Study of Antioxidant and Catalytic Activity of Silver and Gold Nanoparticles Synthesized From Costus pictus Leaf Extract

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Journal of Materials Science & Technology 2015年第10期31卷 986-994页

作者： Jayachandra Reddy Nakkala Ekta bhagat Kitlangki Suchiang Sudha Rani Sadras Department of Biochemistry and Molecular Biology School of Life SciencesPondicherry University

Biological synthesis of silver and gold nanoparticles using Costus pictus leaf extract （CPLE） and their potential in vitro antioxidant and catalytic activities were reported here. Formation of Costus pictus silver （CPAgNPs） and gold （CPAuNPs） nanoparticles was confirmed by UV-visible spectroscopy and their spherical shape by scanning electron microscopy. The synthesized nanoparticles gave strong signals for silver and gold in energy dispersive X-ray spectroscopy. The CPAgNPs and CPAuNPs had an average size of 46.7 and 37.2 nm, respectively, as determined by dynamic light scattering particle size analyzer. Fourier transform infrared spectroscopy （FTIR） analysis indicated involvement of amine and carbonyl groups in the formation of CPAgNPs and CPAuNPs. Thermal stability of synthesized nanoparticles was assessed by thermogravimetric analysis-differential scanning calorimetry. CPAgNPs, CPAuNPs and CPLE exhibited tremendous antioxidant activity when being assessed by various in vitro assays, and their activity was comparable to standard antioxidants. CPAgNPs, CPAuNPs and CPLE also caused degradation of dyes like methylene blue and methyl red. While CPAgNPs, CPAuNPs and CPLE caused respective 85%, 42% and 30% degradation of methylene blue, they showed less activity against methyl red. These observations signify that such green methods open up new avenues in nanobiotechnology for the synthesis of nanoparticles with extensive industrial and biomedical applications.

关键词： Costus pictusNanoparticles Antioxidants Methylene blue Methyl red

Angiotensin-converting enzyme 2 as a potential therapeutic target for COVID-19:A review

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Journal of Pharmaceutical Analysis 2022年第2期12卷 215-220页

作者： bhagat Singh Dheer Singh Vinod Verma Ramakant Yadav Raj Kumar Department of Medical Laboratory Technology Faculty of Paramedical SciencesUttar Pradesh University of Medical SciencesEtawah206130India Department of Anaesthesiology and Critical Care Uttar Pradesh University of Medical SciencesEtawah206130India Stem Cell Research Centre Department of HematologySanjay Gandhi Post Graduate Institute of Medical SciencesLucknow226014India Department of Neurology Uttar Pradesh University of Medical SciencesEtawah206130India Department of Neurosurgery Uttar Pradesh University of Medical SciencesEtawah206130India

As of August 16,2021,there have been 207,173,086 confirmed cases and 4,361,996 deaths due to the coronavirus disease(COVID-19),and the pandemic remains a global *** date,no effective and approved drugs are available for the treatment of ***-converting enzyme 2(ACE2)plays a crucial role in the invasion into host cells by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the etiological agent of ***,ACE2 density is influenced by medical conditions,such as hypertension,or by drugs,including angiotensin-converting enzyme inhibitors(ACEIs)and angiotensin receptor blockers(ARBs),which can change the fate of SARS-CoV-2 ***2 is a target for these drugs and can be manipulated to limit the viral entry and replication within the *** strategies aimed at blocking ACE2 with small molecules,peptides,and antibodies,or by neutralizing the virus through its competitive binding with human recombinant soluble ACE2(hrsACE2)are currently under *** this article,we review the current state of knowledge that emphasizes the need to find effective therapeutic agents against COVID-19 by exploiting ACE2 as a potential *** increased soluble ACE2 levels and the application of hrsACE2 in patients with COVID-19 can be implemented to control the *** has not yet been established whether hypertension and other comorbidities,independent of age,have a direct role in ***,the use of renin-angiotensin system inhibitors,ACEIs and ARBs,should not be discontinued during COVID-19 treatment.

关键词： COVID-19 ACE2 receptors hrsACE2 ACE inhibitors RAS AT1R blocker