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Home > Impact of Psychosocial Factors on Academic Achievement of University Students in Punjab, Pakistan.

Impact of Psychosocial Factors on Academic Achievement of University Students in Punjab, Pakistan.

Thesis Info

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Author

Noshab, Mahwish

Program

PhD

Institute

The Islamia University of Bahawalpur

City

Bahawalpur

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Education

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12199/1/Mahwish%20Noshab%20education%202019%20iub%20prr.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724779724

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Mental illness is an important but, until recently, neglected agenda in global health. Various types of psychological disorders have always been observed in any society but adolescents are more vulnerable towards these problems than any other age group. In the proportion of young people, students seem to be at high risk of psychiatric diseases. The reason behind this involves the perception that psychological problems are significantly dependent on the individuals’ social circumstances. Hence, students not only experience stressful situations in a society but also in their academic environment. The present study was conducted in Pakistan and the main purpose of this research was to explore the impact of psychosocial factors on academic achievement (AA) of university students in Punjab province. Descriptive studies can use quantitative methodologies therefore; survey type of research was employed for the collection of data. All the public sectors universities of Punjab along with undergraduate students were the population of the present study. Sample of 3000 participants (five hundred male and female undergraduate students) from six public sector universities of Punjab province was taken by using multistage sampling technique. A valid and reliable questionnaire with five subscales namely: Undergraduate Stress Survey (USS), Undergraduate Anxiety Survey (UAS), Undergraduate Depression Survey (UDS), Undergraduate social support survey (USSS), Undergraduate life satisfaction survey (ULSS) was developed for the students in order to record their perceptions about psychosocial factors that influence their AA. National language of Pakistan is Urdu hence; for making the instrument more understandable to the respondents’ researcher used Urdu translation versions of the scale along with English statements and revised in the light of expert opinions. Collected date was analyzed by using SPSS 19th version. xvi Exploratory Factor Analysis (EFA) endorsed the organization of research scale. The data obtained were tabulated, analyzed and interpreted regarding objectives of the study by applying statistical techniques of frequency, percentage, independent sample ttest, ANOVA, regression and Pearson correlation coefficients. On the basis of analysis, findings of the present study showed that prevalence of stress, anxiety and depression among undergraduate students were high at the rate of 59.1%, 62.6%, and 46.0% respectively. Higher levels of psychological diseases not only affect students’ ability to perform well but also all aspects of their health. Results also showed that undergraduate students overall experienced severe levels of stress and moderate levels of anxiety and depression. For the perception of social support, it was concluded that undergraduates had moderate level of social support while more than half of the total sample reported low level of life satisfaction. It was recommended that university administration; educationists and health practitioners should immediately plan and implement such effective counseling services that help students in reducing and preventing the severity of psychological disorders in university life.
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بے قراروں سے پیار کرتا ہوں

بے قراروں سے پیار کرتا ہوں
غم کے ماروں سے پیار کرتا ہوں

تخت والوں سے کیا مجھے نسبت
خاکساروں سے پیار کرتا ہوں

بانٹ لیتا ہوں درد یاروں کے
اپنے یاروں سے پیار کرتا ہوں

جھیل کر نفرتیں ہزاروں کی
میں ہزاروں سے پیار کرتا ہوں

سارے کب مجھ سے پیار کرتے ہیں
میں تو ساروں سے پیار کرتا ہوں

میرا تائبؔ یہی سہارا ہیں
بے سہاروں سے پیار کرتا ہوں

پاکستان میں رائج جبری شادیوں کا تعارف اور شرعی جائزہ

The Islamic Jurisprudence has given a great importance to the existence of family system of life. That is why the Qur‘ān has described the laws of family life with details in comparison with worship of Allah. In family system of life, marriage has a great importance but marriage is not only essential part of worship. Its purposes one the existence   of human generation along with the survival society where there must be modesty and justice but it is only possible if the family system of life is established on everlasting principles. That is why our Islamic Jurisprudence has declared the willingness of both bridegroom and bride and their family more importance in the marriages. Such marriages are always durable and permanent. On the contrary, if there is no willingness of both the bridegroom and bride in marriages. Then such marriages are not durable and permanent. In marriage a girl is a party and the Islamic jurisprudence has given a great deal of importance to her willingness but in pusthoon society, sometimes such marriages are conducted in which the bride concerned has no approval rather she is forced to accept that bond of marriage such marriages are commonly called “Forced Marriages”. The article below is defining the different kinds of forced marriages in vogue and is trying to find out their religious and dogmatic status as well.

Development and Performance Analysis of Multi-Objective Evolutionary Algorithms and Their Application in Communication Networks

The use of evolutionary algorithms for solving optimization problems has signi cantly grown during the past few years. Evolutionary algo- rithms draw inspiration from the process of natural evolution. Besides nitely terminating and iterative methods, evolutionary algorithms pro- vide approximate solutions to many optimization problems. Researchers have proposed many data structures and algorithms to solve complex problems e ciently but optimality has still challenges in case of multi- objective optimization problems. The other main challenge is to design lightweight evolutionary algorithms for live and energy-constrained ap- plications. In this thesis, three multi-objective evolutionary algorithms (A-MOCLPSO, CPSGA, and MOGCO) are proposed to address the above-mentioned challenges (optimality, lightweight algorithm, and en- ergy e ciency) and two real-world problems (network security harden- ing, and energy-e cient clustering in mobile ad-hoc networks) are solved using these algorithms. In particle swarm optimization (PSO), each particle uses its personal and global or local best positions by linear summation. However, it is very time consuming tond the global or local best positions in case of com- plex problems. To overcome this problem, a new multi-objective variant of PSO called Attributed Multi-objective Comprehensive Learning Par- ticle Swarm Optimizer (A-MOCLPSO) is proposed. In this technique, a randomly selected particle from the whole population is used to update the velocity of each dimension. 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Targeting such a multi-objective scenario, a few approaches have been applied previously to optimize the cost and the residual damage. In this thesis, this problem is solved using the proposed A-MOCLPSO, CPSGA, and MOGCO algorithms on an attack tree model of a networked system in order to optimize the total security cost and the residual damage. The performance of these algorithms is compared for the security hardening problem. A mobile ad hoc network (MANET) is dynamic in nature and is com- posed of wirelessly connected nodes that perform hop-by-hop routing without the help of anyxed infrastructure. One of the important re- quirements of a MANET is the e ciency of energy, which increases the lifetime of the network. Several techniques have been proposed by re- searchers to achieve this goal and one of them is clustering in MANETs that can help in providing an energy-e cient solution. In the literature, several optimization techniques are available for clustering that provide a single solution at a time. As a second case study, a multi-objective so- lution is proposed by using multi-objective particle swarm optimization (MOPSO) algorithm to optimize the number of clusters in an ad-hoc network as well as energy dissipation in nodes in order to provide an energy-e cient solution and reduce the network tra c. The results of the proposed approach are compared with two other well-known cluster- ing techniques, i.e., WCA and CLPSO-based clustering by using di erent performance metrics. The proposed MOPSO-based approach outper- forms these two algorithms innding optimal number of clusters as well as provides multiple options for the user.