Skill Formation Strategies for Sustaining 'The Drive to Maturity' in Pakistan.

This paper outlines some problems in the articulation of a national skill formation strategy seeking to sustain ‘the drive to maturity’ of the Pakistan economy. We examine the thought of two economists—Adam Smith and Amartya Sen—to identify market-, society-, and state-related skills that they theorise as necessary for sustaining an economy’s ‘drive to maturity’. We then briefly outline Michel Foucault’s social theory to contextualise these skill formation paradigms within the institutional structure characteristic of mature capitalism. We argue that integration within global capitalist order leaves little room for the articulation of such a skill formation national strategy. Pakistan is therefore likely to share the fate of the majority of the under-developed countries which are experiencing de-skilling and detechonolgising

Interference Analysis For Wells Produced At Constant Pressure

Thesis (M.S.) University of Alaska Fairbanks, 198

Skill Formation Strategies for Sustaining ‘The Drive to Maturity’ in Pakistan

Skill formation is a multi-faceted process. Skills are necessarily (by definition) instrumental—i.e. means for the achievement of a metaphysically defined objective. In Modernity,1 this metaphysical presupposed ‘rational’ purpose of existence (both individual and societal) is freedom [Kant (2001)]. In the history of Modernity, the primary source of the growth of freedom has been capital accumulation.2 A nation committed to Modernity (‘Enlightened Moderation’) is necessarily committed to articulating a skill formation strategy which can transform ‘human being’ into ‘human capital’. This transformation requires three distinct types of skills: individual, communitarian and political. This is because capitalism is not just a ‘lifeworld’ in the Habermasian sense but a system [Foucault (1976)]. Capitalist individuality requires a prioritisation of the preference for preference itself (‘choice’) over all preferences. This is necessary for the internalisation of capitalist norms (the commitment to profit/utility maximisation and competition to achieve this end). Capitalist individuality must also posses the skills which allow it to rationally identify and pursue its interest in the market and in the firm. It must also have the selfdiscipline to function as a diligent and co-operative participant in the capitalist work process

Relationship between Individual and Social Characteristics of Medical Students of Iran and Academic Failure: Systematic Review

Background & Objective: Recognition of the causes and correlates of academic failure, which is one of the failures of the education system, is an important practical issue in education researches. Despite the large number of studies in this field in Iran, no comprehensive reviews of all published documents in this respect have been carried out. Thus, the aim of the present study was the systematic review of all texts published during the previous 15 years and determination of the role of individual, personality, and social factors related to academic failure of students. Methods: In the present study, documents were systematically reviewed and information gathered. Articles, which were related to the causes of academic failure of students of medical universities in Iran and published from March 1999 until February 2010, were studied. Using census method, 1008 articles were screened. The full text of 26 articles with minimum quality of research was available. Results: Based on the findings of the study, male gender, higher age of entry to college, marriage, mental and physical problems, lack of interest in the field of education, lower average score of school diploma or previous degree, longer duration of time from diploma to university admission, lack of studying during the term, greater use of the internet, and lack of scientific and research activities are individual factors that can lead to academic failure in students. Based on the systematic review of literature, the causes of academic failure of students were having a second job, living in the dormitory, and a non-empirical diploma. Among familial and social factors, low education level of father and mother, financial problems, family problems, large number of family members, poor social activity, and being an extrovert were associated with academic failure. Conclusion: Despite the many studies on the causes of academic failure, it seems that the standards and definitions used in different studies vary. Therefore, to promote the quality of work, standardization must be performed. The views of faculty members were largely consistent with the facts found in the literature. This showed that university teachers’ experiences in this regard are reliable. Moreover, considering the major listed causes, it seems that groups who are at higher risk of academic failure can be identified and preventive measures applied to them. Key Words: Systematic review, Medical sciences, Students, Academic achievement, Academ

Governing the Labour Market: The Impossibility of Corporatist Reforms

This paper argues that a return to corporatist governance structures is impossible in Pakistan. Section 1 outlines neo-classical labour market regulation rationalities presented by Hayek, Wieser, and Sen. Section 2 compares and contrasts Fordist and Post-Fordist modes of labour market regulation. And Section 3 seeks to establish the impossibility of institutionalising corporatist governance structures in the labour markets of Pakistan. Neo-classical theory sees relations between labour and the representatives of capital (‘managers’) as relations created spontaneously by individuals in the pursuit of their rational self-interest. The capitalist individual, be he labourer or manager, defines ‘maximisation of utility’ as his ‘rational self interest’, and order within the labour market requires a reconciliation of individual (the labourer’s) and aggregate (the manager’s) utility maximisation (with aggregate utility maximisation being represented by shareholders value). Labour market order is thus impeded if

Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval

This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval. Finding such a space is a challenging task since the features and representations of text and image are not comparable. In this work, we introduce an end-to-end deep multimodal convolutional-recurrent network for learning both vision and language representations simultaneously to infer image-text similarity. The model learns which pairs are a match (positive) and which ones are a mismatch (negative) using a hinge-based triplet ranking. To learn about the joint representations, we leverage our newly extracted collection of tweets from Twitter. The main characteristic of our dataset is that the images and tweets are not standardized the same as the benchmarks. Furthermore, there can be a higher semantic correlation between the pictures and tweets contrary to benchmarks in which the descriptions are well-organized. Experimental results on MS-COCO benchmark dataset show that our model outperforms certain methods presented previously and has competitive performance compared to the state-of-the-art. The code and dataset have been made available publicly.Comment: 6 pages and 2 figures, Learn more about this project at https://iasbs.ac.ir/~ansari/deeptwitte

The most-cited articles in Data in Brief Journal: A bibliometric analysis using Scopus data

Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. This data analysis would discuss the most-cited articles in Data in Brief Journal including the countries, authors. The data was collected on 31st May 2020 of Scopus database. The literature review was conducted using the keyword: ISSN (2352-3409). The bibliometric analysis is visualized utilizing the VosViewer software

Patterns of Iran’s Research Collaboration in the field of Pharmacology and Pharmacy: A Bibliometric Study

Purpose: This research aims to analyze and visualize the structure of Iranian scholarly networks in the field of “pharmacology and pharmacy”. This study includes an overview of co-authorship, efficiency and ranking of the researches, visualizing the co-authorship network, changes in the main core of the publications and macro and micro-level metrics such as social influence. Methods: This research utilizes social network analysis (SNA). The preliminary data of this research includes all the Iran’s documents in Web of Science in “Pharmacology and Pharmacy” during the period of 2005 to 2016. After the preprocessing of 6204 records and creating relational matrix, a combination of bibliometric software (including UCINET, NetDraw, HistCite and VOSviewer) were used to analyze and uncover network features. Results: Results indicated that most papers are multi-authored. Four-authored articles are the main common authorship pattern. Some measures such as author frequency, multi-authored papers, and single-authored papers in each time interval are ascending. Moreover, “density” reduction of the scientific collaborations indicates that fragmentation level has increased based on the “clustering coefficient” in each period. Besides, Iranian researchers of the field has the most collaboration with the scholars of England (%2.85), U.S.A. (2.61%) and Canada (1.76%), respectively. Conclusions: Fragile structure and low closeness of the network imply low maturity of Iran’s research in the field of “pharmacology and pharmacy”. Also, test of the correlation coefficients indicates that with increasing “degree centrality” and “betweenness centrality”, the “number of articles” increases as well. However, there is no correlation between “closeness centrality” and “number of articles”