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- 저자 : Bashir Aadil (검색결과 4 건)
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Bashir Aadil,Tariq Afnan,Khan Aimon,Ali Isahaque,Azman Azlinda 한국사회복지학회 2023 Asian Social Work and Policy Review Vol.17 No.1
Families play a significant role in the development of their children. Nearly 16% of children in the industrialized world live in single-parent households, which are mostly comprised of single mothers. Although motherhood is the most beautiful feeling a woman cherishes, this experience can be challenging when the woman has to raise their special-needs child on her own, without the support of her spouse or partner. This study aims to understand the challenges and coping strategies of single mothers while raising their special-needs children. To this end, in-depth case interviews were conducted with three single mothers selected purposively from the Srinagar area in Kashmir, India. The results revealed that multiple roles and responsibilities had an adverse effect on the psychological well-being of single mothers who had to deal with the financial burden of caring for their child's condition, including expenses for doctor visits, special therapies and medication, among other. In addition, they had to expe-rience the social pressure and stigmatization attached to being a single mother. The most widely employed coping strategies include support from family and friends, reli-gious faith, and self-coping. The study recommends the creation of welfare packages like free counseling, stipend support, inclusive education, free medical treatment, and therapies for Children with Special Needs (CWSNs) and their mothers.
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Dynamics of domestic violence in Kashmir: An interplay of multiple factors
Bashir Aadil,Rafiq Misbah 한국사회복지학회 2023 Asian Social Work and Policy Review Vol.17 No.3
Domestic violence is a widely prevalent phenomenon in the world. However, some of its features are culture‐specific. This study, therefore, attempts to study domestic violence in the context of Kashmir's culture. It draws on data collected through interviews with victims of domestic violence who were identified during a survey in Kashmir. The interview transcripts were analyzed and themes were drawn using the axial coding method (Corbin and Strauss). Classification of the themes into categories was based on similarities that they share and on the frequency with which they co‐occur. These categories gave a sense of dynamics of domestic violence operating in Kashmir. Data reveals that the causes of domestic violence in Kashmir operate at various levels, like individual, social, and cultural. Moreover, qualitative analysis of the interview transcripts visualize domestic violence in Kashmir as the interplay of the following categories, personal factors, communication factors, power factors, interpersonal factors , cultural factors, and situational factors. It is the geo‐political and social context of Kashmir that results in the unique dynamic of these causal factors which will help in designing and tailoring culture‐specific interventions to address the issue of domestic violence in Kashmir.
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Intelligent Clustering in Vehicular ad hoc Networks
( Farhan Aadil ),( Salabat Khan ),( Khalid Bashir Bajwa ),( Muhammad Fahad Khan ),( Asad Ali ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.8
A network with high mobility nodes or vehicles is vehicular ad hoc Network (VANET). For improvement in communication efficiency of VANET, many techniques have been proposed; one of these techniques is vehicular node clustering. Cluster nodes (CNs) and Cluster Heads (CHs) are elected or selected in the process of clustering. The longer the lifetime of clusters and the lesser the number of CHs attributes to efficient networking in VANETs. In this paper, a novel Clustering algorithm is proposed based on Ant Colony Optimization (ACO) for VANET named ACONET. This algorithm forms optimized clusters to offer robust communication for VANETs. For optimized clustering, parameters of transmission range, direction, speed of the nodes and load balance factor (LBF) are considered. The ACONET is compared empirically with state of the art methods, including Multi-Objective Particle Swarm Optimization (MOPSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO) based clustering techniques. An extensive set of experiments is performed by varying the grid size of the network, the transmission range of nodes, and total number of nodes in network to evaluate the effectiveness of the algorithms in comparison. The results indicate that the ACONET has significantly outperformed the competitors.
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Bhat, Gulzar,Bhat, Ashaqullah,Wani, Aadil,Sadiq, Nida,Jeelani, Samoon,Kaur, Rajinder,Masood, Akbar,Ganai, Bashir Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.1
Cancer is a complex disease and the genetic susceptibility to it could be an outcome of the inherited difference in the capacity of xenobiotic metabolizing enzymes. Glutathione-S-transferases (GSTs) are phase II metabolizing enzymes whose various genotypes have been associated with increased risk of different types of cancer. Null mutations caused by the deletion of the entire gene result in the absence of the enzymatic activity and increase in the risk of developing cancer including chronic myeloid leukaemia (CML). In the present case-control study we evaluated the effect of null mutations in GSTM1 and GSTT1 genes on the risk of developing CML. The study included 75 CML patients (43 males and 32 females; age (mean ${\pm}$ S.D) $42.3{\pm}13.4$ years) and unrelated non-malignant controls (76 male and 48 females; age (mean ${\pm}$ S.D) $41.5{\pm}12.9$). The distribution of GSTM1 and GSTT1 genotypes in CML patients and controls was assessed by multiplex-PCR method. Logistic regression was used to assess the relationship between GSTM1 and GSTT1 genotypes and risk of CML. Chi-square test was used to evaluate the trend in modulating the risk to CML by one or more potential high risk genotype. Although GSTM1 null genotype frequency was higher in CML patients (41%) than in the controls (35%), it did not reached a statistical significance (OD = 1.32, 95% CI: 0.73-2.40; P value = 0.4295). The frequency of GSTT1 null genotypes was higher in the CML patients (36%) than in the controls (21%) and the difference was found to be statistically significant (OD = 2.12, 95% CI: 1.12-4.02; P value = 0.0308). This suggests that the presence of GSTT1genotype may have protective role against the CML. We found a statistically significant (OD = 3.09, 95% CI: 1.122-8.528; P value = 0.0472) interaction between the GSTM1 and GSTT1 null genotypes and thus individuals carrying null genotypes of both GSTM1 and GSTT1 genes are at elevated risk of CML.
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