• Title/Summary/Keyword: Kurukshetra University

Search Result 45, Processing Time 0.026 seconds

Internet Access and Use among Students of Physical Education: A Study of Kurukshetra University, Kurukshetra

  • Kumar, Rajender
    • Journal of Information Science Theory and Practice
    • /
    • v.2 no.2
    • /
    • pp.59-68
    • /
    • 2014
  • This paper depicts a study conducted on the behavior of physical education students towards Internet usage at Kurukshetra University, Kurukshetra. Specially, the study aims to know the purposes for use of Internet resources and services, frequency of use, places and means of use, student's satisfaction level toward the Internet, and problems faced while using the Internet. A survey was carried out with a sample of 100 physical education students of Kurukshetra University and the response rate was 88%. A well-designed questionnaire was distributed to the students' sample. Amazingly, the results of the study reveal that usage of the Internet in research and education was not favored, whereas email, chatting, and sports websites were commonly used among students. The study also found that too much information on the Internet, slow access speeds, and finding relevant information were the main problems in using the Internet.

CYP1A1 Gene Polymorphisms: Modulator of Genetic Damage in Coal-Tar Workers

  • Giri, Shiv Kumar;Yadav, Anita;Kumar, Anil;Dev, Kapil;Gulati, Sachin;Gupta, Ranjan;Aggarwal, Neeraj;Gautam, Sanjeev Kumar
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.7
    • /
    • pp.3409-3416
    • /
    • 2012
  • Aim: It is well known that polycyclic aromatic hydrocarbons (PAHs) such as benzo (a) pyrene have carcinogenic properties and may cause many types of cancers in human populations. Genetic susceptibility might be due to variation in genes encoding for carcinogen metabolizing enzymes, such as cytochrome P-450 (CYP450). Our study aimed to investigate the effect of genetic polymorphisms of CYP1A1 (m1 and m2) on genetic damage in 115 coal-tar workers exposed to PAHs at their work place. Methods: Genetic polymorphisms of CYP1A1 were determined by the PCR-RFLP method. Comet and buccal micronucleus assays were used to evaluate genetic damage among 115 coal tar workers and 105 control subjects. Results: Both CYP1A1 m1 and CYP1A1 m2 heterozygous and homozygous (wt/mt+mt/mt) variants individually as well as synergistically showed significant association (P<0.05) with genetic damage as measured by tail moment (TM) and buccal micronuclei (BMN) frequencies in control and exposed subjects. Conclusion: In our study we found significant association of CYP1A1 m1 and m2 heterozygous (wt/mt)+homozygous (mt/mt) variants with genetic damage suggesting that these polymorphisms may modulate the effects of PAH exposure in occupational settings.

Modeling properties of self-compacting concrete: support vector machines approach

  • Siddique, Rafat;Aggarwal, Paratibha;Aggarwal, Yogesh;Gupta, S.M.
    • Computers and Concrete
    • /
    • v.5 no.5
    • /
    • pp.461-473
    • /
    • 2008
  • The paper explores the potential of Support Vector Machines (SVM) approach in predicting 28-day compressive strength and slump flow of self-compacting concrete. Total of 80 data collected from the exiting literature were used in present work. To compare the performance of the technique, prediction was also done using a back propagation neural network model. For this data-set, RBF kernel worked well in comparison to polynomial kernel based support vector machines and provide a root mean square error of 4.688 (MPa) (correlation coefficient=0.942) for 28-day compressive strength prediction and a root mean square error of 7.825 cm (correlation coefficient=0.931) for slump flow. Results obtained for RMSE and correlation coefficient suggested a comparable performance by Support Vector Machine approach to neural network approach for both 28-day compressive strength and slump flow prediction.

Machine learning models for predicting the compressive strength of concrete containing nano silica

  • Garg, Aman;Aggarwal, Paratibha;Aggarwal, Yogesh;Belarbi, M.O.;Chalak, H.D.;Tounsi, Abdelouahed;Gulia, Reeta
    • Computers and Concrete
    • /
    • v.30 no.1
    • /
    • pp.33-42
    • /
    • 2022
  • Experimentally predicting the compressive strength (CS) of concrete (for a mix design) is a time-consuming and laborious process. The present study aims to propose surrogate models based on Support Vector Machine (SVM) and Gaussian Process Regression (GPR) machine learning techniques, which can predict the CS of concrete containing nano-silica. Content of cement, aggregates, nano-silica and its fineness, water-binder ratio, and the days at which strength has to be predicted are the input variables. The efficiency of the models is compared in terms of Correlation Coefficient (CC), Root Mean Square Error (RMSE), Variance Account For (VAF), Nash-Sutcliffe Efficiency (NSE), and RMSE to observation's standard deviation ratio (RSR). It has been observed that the SVM outperforms GPR in predicting the CS of the concrete containing nano-silica.

Analysis of wave motion in micropolar transversely isotropic thermoelastic half space without energy dissipation

  • Kumar, Rajneesh;Gupta, Rajani Rani
    • Interaction and multiscale mechanics
    • /
    • v.3 no.2
    • /
    • pp.145-156
    • /
    • 2010
  • The propagation of waves in a micropolar transversely isotropic half space in the theory of thermoelasticity without energy dissipation are discussed. After developing the solution, the phase velocities and attenuation quality factor has been obtained. The expressions for amplitudes of stresses, displacements, microrotation and temperature distribution have been derived and computed numerically. The numerical results have been plotted graphically.

On Generalized Absolute Riesz Summability Factor of Infinite Series

  • Sonker, Smita;Munjal, Alka
    • Kyungpook Mathematical Journal
    • /
    • v.58 no.1
    • /
    • pp.37-46
    • /
    • 2018
  • The objective of the present manuscript is to obtain a moderated theorem proceeding with absolute Riesz summability ${\mid}{\bar{N}},p_n,{\gamma};{\delta}{\mid}_k$ by applying almost increasing sequence for infinite series. Also, a set of reduced and well-known factor theorems have been obtained under suitable conditions.

Effect of thermal laser pulse in transversely isotropic Magneto-thermoelastic solid due to Time-Harmonic sources

  • Lata, Parveen;Kaur, Iqbal;Singh, Kulvinder
    • Coupled systems mechanics
    • /
    • v.9 no.4
    • /
    • pp.343-358
    • /
    • 2020
  • The present research deals with the time-harmonic deformation in transversely isotropic magneto thermoelastic solid with two temperature (2T), rotation due to inclined load and laser pulse. Generalized theory of thermoelasticity has been formulated for this mathematical model. The entire thermo-elastic medium is rotating with uniform angular velocity and subjected to thermally insulated and isothermal boundaries. The inclined load is supposed to be a linear combination of a normal load and a tangential load. The Fourier transform techniques have been used to find the solution to the problem. The displacement components, stress components, and conductive temperature distribution with the horizontal distance are computed in the transformed domain and further calculated in the physical domain using numerical inversion techniques. The effect of angle of inclination of normal and tangential load for Green Lindsay Model and time-harmonic source for Lord Shulman model is depicted graphically on the resulting quantities.