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Search Results: 1 - 10 of 20114 matches for " Mohammad Younis Khan "
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Perception of Community about the Role of Sports in Social Training of Youth
Mohammad Younis Khan,Asif Jamil,Umar Ali Khan,Uzma Karim
International Journal of Academic Research in Business and Social Sciences , 2012,
Abstract: A research study was conducted to examine the perception of community about role of sports in social training of youth. The community comprised of Parents, Teachers, Students and Alumni. A structured questionnaire on three point Likert scale was developed and utilized for collection of data from 426 respondents selected through stratified sampling and random sampling technique in D.I.Khan Division of Pakistan’s during the year 2011. The result of the study indicated majority of community members have a very significant knowledge of the role of sports in social training of youth.
Perspectives of Teachers and Students about Internal and External evaluation system at Postgraduate level
Mohammad Younis Khan,Asif Jamil,Umar Ali Khan,Uzma Kareem
International Journal of Academic Research in Business and Social Sciences , 2012,
Abstract: A research study was conducted to know the opinion of teachers and students about internal and external system of examination in Universities at postgraduate level. A structured questionnaire on three point Likert scale was developed and utilized for collection of data from 500 respondents selected through random sampling techniques in Gomal University Dera Ismail Khan Khyber Pakhtunkhwa, Pakistan. The opinion of the teachers and students were known and investigated. The result of the study indicated that teachers are in favour of internal system of examination while students support the external system of examination at postgraduate level.
Female Students Opinion about Women’s Participation in Sports
Mohammad Younis Khan,Asif Jamil,Umar Ali Khan,Uzma Kareem
International Journal of Academic Research in Business and Social Sciences , 2012,
Abstract: A research study was conducted to know about the participation of Muslim girls and women in sports and philosophy of Islam in this regard. The population of this study was all female students of Government Girls Degree Colleges of District Dera Ismail Khan. Total 100 respondents selected from within the population through convenient or available sampling technique. For the purpose of collection of data a structured questionnaire on three point Likert scale, ranging from disagree (DA= 1 point) to agree (3 points), was prepared and handed over to 100 respondents with the help of female lecturers in physical education of concerned colleges. The main objective of the study was to know about the participation of Muslim girls and women in sports and philosophy of Islam in this regard. The result of the study indicated that Muslim women like sports and she wants to participate in sports for overall development but their ethnicity, culture, physical and spiritual challenges, parents, family members, and society members discourage them to participate in sports. The result of the study further confirmed that Islam encourages the women to participate in sports for good health, fitness and healthy life style after observing the Islamic dress code.
Effect of Mechanical Vibrations on Human Body  [PDF]
Mohammad AlShabi, Walaa Araydah, Hani ElShatarat, Mohammad Othman, Mohammed Bani Younis, Stephen Andrew Gadsden
World Journal of Mechanics (WJM) , 2016, DOI: 10.4236/wjm.2016.69022
Abstract: Mechanical vibrations cause forces that affect human bodies. One of the most common positions for human bodies is the seated position. In this work, mathematical models of the seated human body are investigated and simulated in a Simulink/ MATLAB environment. In addition, segments of the human body are studied and models are developed and built by using Simulink/MATLAB. As part of this work, model analysis and state-space methods are used in order to check and validate the results obtained from the simulations. Two types of forces are used to test the whole seated human body under low frequency citation. The first is a sinusoidal wave signal based on literature, and the second is an impulse function. The effects of mechanical vibration on the head and lumbar are studied as these parts of the human body are usually the most effected areas. Kinematic states of the head segment and lumbar are considered. The characteristics of the vibration response on the two segments are also obtained. In addition to the me-chanical vibrations study, this paper is a resource for the development and implementation of models in the Simulink/MATLAB environment.
Knowledge, Attitudes and Awareness of Community Pharmacists Towards the Use of Herbal Medicines in Muscat Region
Anas Younis Duraz,Shah Alam Khan
Oman Medical Journal , 2011,
Abstract: Objective: This study aims to investigate the knowledge and attitudes among pharmacists in Oman towards the specific use and knowledge of herbal drugs. Methods: The study was conducted on 100 pharmacists employed in Oman. The data was collected using two self- administered questionnaire containing 7 and 11 closed ended questions in each, respectively. Results: The mean age of pharmacists was 32.6 (SD=5.6) years. The majority of pharmacists were interested in herbal information and their herbal information mainly comes from their previous classes during college. Most of them have belief on the effectiveness of herbal products. Pharmacists were more knowledgeable on specific therapeutic indications of herbal products rather than on other areas such as drug- herb interaction or side effects. Conclusion: In summary, Pharmacists need to be informed on the therapeutic indications, drug interactions, dose, active constituent and precautions of herbal products. Concerned bodies must also provide them with regular continuing education programs apart from putting their effects to incorporate relevant topics in herbal medicine in pharmacy curriculum.
Xeroderma Pigmentosum with Desquamative Gingivitis a Rare Case Report and Detailed Review of Literature  [PDF]
Shamimul Hasan, Mohammad Abbas Khan
Journal of Cosmetics, Dermatological Sciences and Applications (JCDSA) , 2011, DOI: 10.4236/jcdsa.2011.14025
Abstract: In xeroderma pigmentosum, a rare genodermatosis, transmitted as an autosomal recessive disorder, excessive solar damage to the skin develops at an early age. The disease is characterized by cutaneous, ocular, neurological and oral changes. Oral features in the form of early development of Squamous cell carcinoma, usually at the lower lip and tip of the tongue may be seen. The disorder is associated more commonly in populations where marriage of close blood relatives is common. Treatment of the disorder includes avoidance of Ultra violet radiation, topical application of 5 fluorouracil to treat actinic keratoses, and regular evaluation by an optholmologist, dermatologist, and neurologist. Genetic counseling is an important aspect as an increased incidence of consanguineous marriages have been reported with this disorder. Here, we report an interesting case of xeroderma pigmentosum in an 18 year old male patient who presented with characterstic desquamation of gingiva, fissured tongue and geoghraphic tongue.
Design and Evaluation of Solar Inverter for Different Power Factor Loads  [PDF]
Mohammad Ahmad, B. H. Khan
Energy and Power Engineering (EPE) , 2012, DOI: 10.4236/epe.2012.45042
Abstract: This paper analyzes and compares the performance of a new inverter topology with two types of input sources: 1) Solar PV source and 2) Ideal dc source (battery). The simulation is done in SIMULINK/MATLAB Software. It is shown that when the solar panel is connected, spikes are obtained in output voltage waveforms. These spikes are eliminated by inserting a capacitor. The capacitor is chosen for a particular power factor which is optimum with respect to cost, size and power quality. Total Harmonic Distortion, Active Power, Reactive Power, RMS Voltage and RMS Current are measured for different load power factor. Finally these results are compared with those obtained using battery with same input voltage magnitude. This Paper shows that for Solar Panel Circuit, THD, P and Q are less for 0.8 and above power factor, however below 0.8 PF, the THD, active and reactive power transfer are more. This means that the performance of Solar Panel in the proposed circuit topology is seen to be better as compared to the same circuit with battery within a range of power factor.
A Study on B-Spline Wavelets and Wavelet Packets  [PDF]
Sana Khan, Mohammad Kalimuddin Ahmad
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.519287
Abstract: In this paper, we discuss the B-spline wavelets introduced by Chui and Wang in [1]. The definition for B-spline wavelet packets is proposed along with the corresponding dual wavelet packets. The properties of B-spline wavelet packets are also investigated.
Some Results on Wavelet Frame Packets  [PDF]
Sana Khan, Mohammad Kalimuddin Ahmad
Advances in Pure Mathematics (APM) , 2014, DOI: 10.4236/apm.2014.411069
Abstract: The aim of this paper is to study wavelet frame packets in which there are many frames. It is a generalization of wavelet packets. We derive few results on wavelet frame packets and have obtained the corresponding frame bounds.
Software Defect Prediction Using Supervised Machine Learning and Ensemble Techniques: A Comparative Study  [PDF]
Abdullah Alsaeedi, Mohammad Zubair Khan
Journal of Software Engineering and Applications (JSEA) , 2019, DOI: 10.4236/jsea.2019.125007
Abstract: An essential objective of software development is to locate and fix defects ahead of schedule that could be expected under diverse circumstances. Many software development activities are performed by individuals, which may lead to different software bugs over the development to occur, causing disappointments in the not-so-distant future. Thus, the prediction of software defects in the first stages has become a primary interest in the field of software engineering. Various software defect prediction (SDP) approaches that rely on software metrics have been proposed in the last two decades. Bagging, support vector machines (SVM), decision tree (DS), and random forest (RF) classifiers are known to perform well to predict defects. This paper studies and compares these supervised machine learning and ensemble classifiers on 10 NASA datasets. The experimental results showed that, in the majority of cases, RF was the best performing classifier compared to the others.
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