2,150 research outputs found

    Convergence Model of Governance: A Case Study of the Local Government System of Pakistan

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    The future of devolution plan in Pakistan may be analysed in view of our Convergence model. This model views stability of the local Govt. system drawn on Devolution Plan 2001. It claims that as there would be more volatile and non-committed (floating) number of agents in the political market and governance system, there is more probability of divergence; i.e. the system will remain unstable. Contrary to that more is the systematic trend in political market and governance system more is the probability that the convergence in the system occurs and that in turn leads to stability of the over all system. In this ‘Convergence’ Model different types of agents have been highlighted on the basis of their political ffiliation and being in competition as ruling elite and/or their allies and non-ruling elite and/or their allies. The agents have interactive relationship horizontally and vertically with other agents i.e. either they are ally or otherwise. The composition of this structure of the agents and clients is based on the principle of bottom top pproach i.e. Union council’s members, Nazim and their political competitors, Tehsil council and Nazim, District Nazim and his allied district assembly members and their political competitors, Member provincial Assembly and their political rivals, Member National Assembly/Senator, and their political rival and the ruling political elites, Provincial Government and their political rivals, and Political elites ruling Federal Government and their political rivals.

    Algebraic Representation of Social Capital Matrix

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    This paper proposes a mathematical model based on a Boolean algebra involving a 4×4 social capital matrix [Shah (2008)], that emerges through interaction within and across individuals, communities, institutions and state. The framework provides a coding system for the existence or otherwise of various categories of social interaction. The model illustrates that social interaction can be neatly described in a format that facilitates the interpretation of social intra- and interactions among the four types of players in generating economic activity.Social Capital (Matrix), Linear Space, Interactive Systems, Boolean Algebra

    Algebraic Representation of Social Capital Matrix

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    This paper proposes a mathematical model based on a Boolean algebra involving a 44 social capital matrix [Shah (2008)], that emerges through interaction within and across individuals, communities, institutions and state. The framework provides a coding system for the existence or otherwise of various categories of social interaction. The model illustrates that social interaction can be neatly described in a format that facilitates the interpretation of social intra- and interactions among the four types of players in generating economic activity.Social Capital (Matrix), Linear Space, Interactive Systems, Boolean Algebra

    An exploration of attitudes towards the English curriculum in educational establishments in urban and rural Pakistan

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    This study describes an empirical study of attitudes towards the English curriculum in Pakistan. As such, it represents politically and religiously contentious educational issues in a country where society is highly stratified and religious and political elites determine the education system

    Areca nut chewing and the risk of re-hospitalization and mortality among patients with acute coronary syndrome in Pakistan

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    Objectives: Areca nut is widely consumed in many parts of the world, especially in South and Southeast Asia, where cardiovascular disease (CVD) is also a huge burden. Among the forms of CVD, acute coronary syndrome (ACS) is a major cause of mortality and morbidity. Research has shown areca nut chewing to be associated with diabetes, hypertension, oropharyngeal and esophageal cancers, and CVD, but little is known about mortality and re-hospitalization secondary to ACS among areca nut users and non-users. Methods: A prospective cohort was studied to quantify the effect of areca nut chewing on patients with newly diagnosed ACS by categorizing the study population into exposed and non-exposed groups according to baseline chewing status. Cox proportional hazards models were used to examine the associations of areca nut chewing with the risk of re-hospitalization and 30-day mortality secondary to ACS. Results: Of the 384 ACS patients, 49.5% (n=190) were areca users. During 1-month of follow-up, 20.3% (n=78) deaths and 25.1% (n=96) re-hospitalizations occurred. A higher risk of re-hospitalization was found (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.29 to 3.27; p=0.002) in areca users than in non-users. Moreover, patients with severe disease were at a significantly higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) and re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001). Conclusions: The 30-day re-hospitalization rate among ACS patients was found to be significantly higher in areca users and individuals with severe disease. These findings suggest that screening for a history of areca nut chewing may help to identify patients at a high risk for re-hospitalization due to secondary events

    Experimental study on silver nanoparticles: synthesis, photo-degradation and analysis

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    The aim of present study was waste water treatment via advanced oxidation process (AOP). Wet chemical precipitation method was used to prepare silver nanoparticles (Ag NPs). The Ag NPs were employed for photo catalytic degradation of Congo red (CR) dye in aqueous medium. The scanning electron microscopy (SEM) investigation shows agglomerated form of Ag NPs. The average sizes of agglomerations are below 600 nm. Energy dispersive X-rays spectroscopy (EDX) and ultraviolet light visible spectroscopy (UV/Vis) also established the formation of Ag NPs. The photo-degradation study reveals that Ag NPs degraded by 73% of CR dye in 480 min. Catalytic dosage study shows the dye degradation was increased vice versa as increased the amount of Ag NPs and then almost level off after 0.025 g of catalyst. In pH study it was observed that degradation of CR dye increased as pH increased. The recovered catalyst study also significantly degraded the CR dye

    Screening for cystic fibrosis: The importance of using the correct tools

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    Background: Cystic Fibrosis (CF) is a potentially lethal genetic disorder. The most frequent mutation worldwide in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene is designated as the Delta F508 mutation. This mutation was found in only 33% of Pakistani patients studied. Since the common Pakistani mutations remain to be identified, appropriate screening tools are required to identify disease. Sweat chloride determinations remain the gold standard for diagnosing CF. This study was done to emphasize the importance of using the correct tests.Methods: The study was conducted at the Aga Khan University Hospital. The CFTR delta F508 mutation was tested on blood samples from patients suspected with CF. Sweat chloride analysis using pilocarpine iontopharesis was done with a positive value of greater than 60 meq/L.Results: 57 pediatric samples were screened for the delta F508 mutation and were positive in only 10.6% of all patients tested. 12/57 (21%) had a preliminary sweat test. 6/12 (50%) of these patients had an abnormal sweat test and 3/6 patients with an abnormal sweat chloride (50%) had deltaF508 mutations-- 2/6 (33%) were homozygotes and 1 was a compound heterozygote. Since 79% did not have a sweat test, it was difficult to assess whether this subset of patients had cystic fibrosis with a CFTR mutation other than the delta F508 tested or no CF.Conclusion: Sweat chloride analysis is critical to distinguish CF from other causes of severe pulmonary and pancreatic insufficiencies and to define patients requiring further analysis

    Drag and Drop Image CAPTCHA

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    The massive and automated access to Web resources through robots has made it essential for Web service providers to make some conclusion about whether a user is human or robot. A Human Interaction Proof (HIP) like Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) offers a way to make such a distinction. CAPTCHA is essentially a modern implementation of Turing test, which carries out its job through a particular text based, image based or audio based challenge response system. In this paper we present a new image based CAPTCHA technique. Properties of the proposed technique offer all of the benefits of image based CAPTCHAs; grant an improved security control over the usual text based techniques and at the same time improve the user-friendliness of the Web page. Further, the paper briefly reviews various other existing CAPTCHA techniques
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