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L-Proline catalyzed one-pot multi-component synthesis of 2-(1,3-diphenyl-1H-pyrazol-4-yl)quinazolin-4(3H)-one derivatives and their biological studies

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Chinese Chemical Letters 2014年第5期25卷 741-744页

作者： Hemal B. Mehta Bharat C. dixit Ritu B. dixit Ashok and Rita Patel Institute of Integrated Study and Research in Biotechnology and Allied Sciences Chemistry Departments V. P. and R. P. T. P Science CollegeAffiliated to Sardar Patel University

A new series of quinazolin-4（3H）-one derivatives containing a（1 3-diphenyl-1H-pyrazol-4-yl） core with substituents at the 2-position and aromatic or heteroaromatic substituents at the 3-position were synthesized using an L-proline catalyzed one-pot multi-component reaction *** the synthesized compounds were characterized and screened for their antimicrobial,antifungal and anti-tubercular activities.

关键词： Quinazolin-4(3H)-one Pyrazole L-Proline Antimicrobial Antifungal Anti-tubercular activity

ML-Fresh: Novel Routing Protocol in Opportunistic Networks Using Machine Learning

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Computer Systems Science & Engineering 2022年第2期40卷 703-717页

作者： Puneet Garg Ashutosh dixit Preeti Sethi Department of Computer Engineering J.C.Bose University of Science and TechnologyYMCAFaridabad121006India

Opportunistic Networks(OppNets)is gaining popularity day-by-day due to their various applications in the real-life *** two major reasons for its popularity are its suitability to be established without any requirement of additional infrastructure and the ability to tolerate long delays during data *** Network is also considered as a descendant of Mobile Ad hoc Networks(Manets)and Wireless Sensor Networks(WSNs),therefore,it inherits most of the traits from both mentioned networking *** from its popularity,Opportunistic Networks are also starting to face challenges nowadays to comply with the emerging issues of the large size of data to be communicated and blind forwarding of data among participating nodes in the *** issues lower the overall performance of the *** this thing in mind,ML-Fresh-a novel framework has been proposed in this paper which focuses to overcome the issue of blind forwarding of data by maintaining an optimum path between any pair of participating nodes available in the OppNet using machine learning techniques *** prediction,decision tree prediction,adamic-adar method for complex *** from this,ML-Fresh also uses the history of successful encounters between a pair of communicating nodes for route prediction in the *** results prove that the ML-Fresh outperforms the existing framework of Opportunistic Networks on the grounds of standard Quality-of-Service(QoS)parameters.

关键词： Opportunistic networks artificial intelligence machine learning link prediction routing protocols QoS parameters

Design of reaction conditions for the enhancement of microbial degradation of dyes in sequential cycles

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Journal of Environmental Sciences 2009年第12期21卷 1646-1651页

作者： Rashmi Sanghi Awantika dixit Preeti Verma Sadhna Puri Facility for Ecological and Analytical Testing 302 Southern Laboratories Institute of Technology The LNM Institute of Information Technology Jaipur Dayanand Girls College CSJM University

The present study evaluated the potential of white-rot fungal strain Coriolus versicolor to decolorize five structurally different dyes in sequential batch reactors under optimized conditions. The experiments were run continuously for seven cycles of 8 d each. High decolorizing activity was observed even during the repeated reuse of the fungus, especially when the old medium was replaced with fresh medium after every cycle. Biodegradation was the dominating factor as the fungus was able to produce the enzyme laccase mainly, to mineralize synthetic dyes. The nutrients and composition of the medium played important roles in sustaining the decolorisation potential of the fungus. Corncob was found be an easy and cheap substitute for carbon source for the fungus. Glucose consumption by the fungus was in accordance to its decolorisation activity and chemical oxygen demand （COD） reduction.

关键词： Coriolus versicolor decolorisation sequential batch reactor

Diet and Rat Strain as Factors in Nervous System Function and Influence of Confounders

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Biomedical and Environmental Sciences 1998年第3期11卷 203-217页

作者： S.KACEW R.dixit 等 DepartmentofPharmacology UniversityofOttawa MerckResearchLabs WestPointPA19486

The necessity for understanding normal human cognitive processes and behavior, and themechanisrns which result in dysfunction in these processes are dependant on utilization of a suitable animal model. In order to develop pharmaceutical agents to alleviate mental disturbances and enable the individual to cope within the norms of society, it is incumbent upon investigators to choose a species in which pharmacokinetic principles are established and resemble those of hurnans. The choice of rats in cognition research studies has specific advantages in that these anirnals possess similar pharrnacodynamic parameters to hurnans. Further advantages include availability, low cost, ease of breeding, maintenance and an extensive literature database which enable comparisons to present findings. However, there are substantial differences in the perforrnance of various rat strains in tasks of learning, memory, attention, and responses to stress or drugs. In addition to rat strain, quantity of thed also exerts profound consequences on animal behavior. The aim of this review is to demonstrate that there are differences in the central nervous systern responsivencess of rat strains to chemicals and these could be related to factors such as source of supplier, type and quantity of feed, or season of the year. It is also evident that the genotype differs amongst strains and this may be responsible for the observed differences in CNS sensitivity to chemicals. Strain differences must be identified and taken into consideration in interpretation of assessrnent of neurobehavioural functions. It is also incumbent upon the investigators to utilize healthy (diet-controlled) animal models.

关键词： Diet and Rat Strain as Factors in Nervous System Function and Influence of Confounders

Quercetin attenuates the development of 7,12-dimethyl benz(a)anthracene(DMBA) and croton oil-induced skin cancer in mice

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The Journal of Biomedical Research 2015年第2期29卷 139-144页

作者： Huma Ali Savita dixit Department of Chemistry MANITBhopalM.P.462051India

To evaluate the chemopreventive potential of quercetin in an experimental skin carcinogenesis mouse *** tumor was induced by topical application of 7,12-dimethyl Benz（a） anthracene（DMBA） and Croton oil in Swiss albino *** was orally administered at a concentration of 200 mg/kg and 400 mg/kg body weight daily for 16 weeks in mouse to evaluate chemopreventive *** cancer was assessed by histopathological *** found that quercetin reduced the tumor size and the cumulative number of *** mean latent period was significantly increased as compared to carcinogen treated *** significantly decreased the serum levels of glutamate oxalate transaminase,glutamate pyruvate transaminase,alkaline phosphatase and *** significantly increased the levels of glutathione,superoxide dismutase and *** elevated level of lipid peroxides in the control group was significantly inhibited by ***,DNA damage was significantly decreased in quercetin treated mice as compared to DMBA and croton oil treated *** results suggest that quercetin exerts chemopreventive effect on DMBA and croton oil induced skin cancer in mice by increasing antioxidant activities.

关键词： quercetin papilloma skin carcinogenesis chemoprevention

Evaluation and analysis of cutting speed, wire wear ratio, and dimensional deviation of wire electric discharge machining of super alloy Udimet-L605 using support vector machine and grey relational analysis

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Advances in Manufacturing 2018年第2期6卷 225-246页

作者： Somvir Singh Nain dixit Garg Sanjeev Kumar Department of Mechanical Engineering National Institute of Technology Kurukshetra 136119 India Department of Mechanical Engineering PEC University of Technology Chandigarh 160012 India

The current study investigates the behavior of wire electric discharge machining （WEDM） of the super alloy Udimet-L605 by employing sophisticated machine learning approaches. The experimental work was designed on the basis of the Taguchi orthogonal L27 array, consid- ering six explanatory variables and evaluating their influ- ences on the cutting speed, wire wear ratio （WWR）, and dimensional deviation （DD）. A support vector machine （SVM） algorithm using a normalized poly-kernel and a radial-basis flow kernel is recommended for modeling the wire electric discharge machining process. The grey rela- tional analysis （GRA） approach was utilized to obtain the optimal combination of process variables simultaneously, providing the desirable outcome for the cutting speed, WWR, and DD. Scanning electron microscope and energy dispersive X-ray analyses of the samples were performed for the confirmation of the results. An SVM based on the radial-basis kernel model dominated the normalized poly- kernel model. The optimal combination of process vari- ables for a mutually desirable outcome for the cutting speed, WWR, and DD was determined as Ton1, Toffa, Ip1, WT3, SV1, and WF3. The pulse-on time is the significant variable influencing the cutting speed, WWR, and DD. The largest percentage of copper （8.66%） was observed at the highest cutting speed setting 7.05% of copper at the low of the machine compared to cutting speed setting of the machine.

关键词： Support vector machine (SVM) Greyrelational analysis (GRA) Wire electric dischargemachining (WEDM) Udimet-L605 Scanning electronmicroscope (SEM) Wire wear ratio (WWR)

Four-dimensional imaging of lattice dynamics using ab-initio simulation

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npj Computational Materials 2021年第1期7卷 53-59页

作者： Navdeep Rana Aditya Prasad Roy Dipanshu Bansal Gopal dixit Department of Physics Indian Institute of Technology BombayPowaiMumbai 400076India Department of Mechanical Engineering Indian Institute of Technology BombayPowaiMumbai 400076India

Time-resolved mapping of lattice dynamics in real-and momentum-space is essential to better understand several ubiquitous phenomena such as heat transport,displacive phase transition,thermal conductivity,and many *** this regard,time-resolved diffraction and microscopy methods are employed to image the induced lattice dynamics within a pump–probe *** this work,we demonstrate that inelastic scattering methods,with the aid of theoretical simulation,are competent to provide similar information as one could obtain from the time-resolved diffraction and imaging *** illustrate the robustness of the proposed method,our simulated result of lattice dynamics in germanium is in excellent agreement with the time-resolved x-ray diffuse scattering measurement performed using x-ray free-electron *** a given inelastic scattering data in energy and momentum space,the proposed method is useful to image in-situ lattice dynamics under different environmental conditions of temperature,pressure,and magnetic ***,the technique will profoundly impact where time-resolved diffraction within the pump–probe setup is not feasible,for instance,in inelastic neutron scattering.

关键词： field lattice dynamics

Fractal analysis of major faults and fractal dimension of lineaments in the Indo-Gangetic Plain on a regional scale

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Earthquake Science 2024年第2期37卷 107-121页

作者： Vipin Chauhan Jagabandhu dixit Disaster Management Laboratory Shiv Nadar UniversityDelhi NCRGautam Buddha NagarUttar Pradesh 201314India

The Indo-Gangetic Plain(IGP)is one of the most seismically vulnerable areas due to its proximity to the *** information system(GIS)-based seismic characterization of the IGP was performed based on the degree of deformation and fractal *** zone between the Main Boundary Thrust(MBT)and the Main Central Thrust(MCT)in the Himalayan Mountain Range(HMR)experienced large variations in earthquake magnitude,which were identified by Number-Size(NS)fractal *** central IGP zone experienced only moderate to low mainshock *** analysis of earthquake epicenters reveals a large scattering of earthquake epicenters in the HMR and central IGP ***,the fault fractal analysis identifies the HMR,central IGP,and south-western IGP zones as having more ***,the seismicity of the study region is strong in the central IGP,south-western IGP,and HMR zones,moderate in the western and southern IGP,and low in the northern,eastern,and south-eastern IGP zones.

关键词： geospatial analysis fractal modeling seismicity pattern fractal dimension

DEPSOSVM:variant of differential evolution based on PSO for image and text data classification

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International Journal of Intelligent Computing and Cybernetics 2020年第2期13卷 223-238页

作者： Abhishek dixit Ashish Mani Rohit Bansal Department of Computer Science Amity University Uttar PradeshNoidaIndia Department of EEE Amity University Uttar PradeshNoidaIndia Department of Management Studies Rajiv Gandhi Institute of Petroleum TechnologyRae BareliIndia

Purpose-Feature selection is an important step for data pre-processing specially in the case of high dimensional data *** of the data model is reduced if the model is trained with high dimensional data set,and it results in poor classification ***,before training the model an important step to apply is the feature selection on the dataset to improve the performance and classification ***/methodology/approach-A novel optimization approach that hybridizes binary particle swarm optimization(BPSO)and differential evolution(DE)for fine tuning of SVM classifier is *** name of the implemented classifier is given as ***-This approach is evaluated using 20 UCI benchmark text data classification data ***,the performance of the proposed technique is also evaluated on UCI benchmark image data set of cancer *** the results,it can be observed that the proposed DEPSOSVMtechniques have significant improvement in performance over other algorithms in the literature for feature *** proposed technique shows better classification accuracy as ***/value-The proposed approach is different from the previous work,as in all the previous work DE/(rand/1)mutation strategy is used whereas in this study DE/(rand/2)is used and the mutation strategy with BPSO is *** difference is on the crossover approach in our case as we have used a novel approach of comparing best particle with sigmoid *** core contribution of this paper is to hybridize DE with BPSO combined with SVM classifier(DEPSOSVM)to handle the feature selection problems.

关键词： Support vector machine(SVM) Differential evolution(DE) Particle swarm optimization(PSO)and Global optimization