Rural to Urban Migration in Pakistan : The Gender Perspective

This paper analyses gender dimensions in rural to urban migration (age 10 years and above) in Pakistan. The study is based on Labour Force Surveys 1996-2006. The findings of the study show that overtime internal migration (age 10 years and above) remained unchanged. Female migrants dominate in internal migration (age 10 years and above). In case of female migration, marriage plays a vital role. Further the direction of migration reveals that over time in internal migration the share of rural to urban migration has increased while urban to urban migration declined, however, the share of urban to urban migration remains highest in internal migration. Females are dominating in recent rural to urban move compared to long term and total rural to urban migration. Gender composition of intra-provincial move of rural to urban migration reveals that in all provinces female migrants are dominated. Further, the trend of intra and inter provincial move indicates that in all provinces long distance movement of females has increased. Not only the share of female migrant in rural to urban migration increased but there seems to be an increasing trend in family migration to cities. This seems to be due to the changes in agrarian structure and rural economy particularly increased in landless households, declined in share cropping and rise in small land holding. In addition to this , the trend in intra and inter-provincial move reveals that except in province of NWFP in all three provinces migration to long distance has an upward trend. Gender composition reveals that in all these three provinces the proportion of both male and female migrants increased over time.Rural to Urban Migration, Agrarian Structure

Detection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks

Myocardial Infarction is one of the leading causes of death worldwide. This paper presents a Convolutional Neural Network (CNN) architecture which takes raw Electrocardiography (ECG) signal from lead II, III and AVF and differentiates between inferior myocardial infarction (IMI) and healthy signals. The performance of the model is evaluated on IMI and healthy signals obtained from Physikalisch-Technische Bundesanstalt (PTB) database. A subject-oriented approach is taken to comprehend the generalization capability of the model and compared with the current state of the art. In a subject-oriented approach, the network is tested on one patient and trained on rest of the patients. Our model achieved a superior metrics scores (accuracy= 84.54%, sensitivity= 85.33% and specificity= 84.09%) when compared to the benchmark. We also analyzed the discriminating strength of the features extracted by the convolutional layers by means of geometric separability index and euclidean distance and compared it with the benchmark model

Optical bistability in one dimensional doped photonic crystals with spontaneously generated coherence

We investigate optical bistability in a multilayer one-dimensional photonic crystal where the central layer is doped with $\Lambda$-type three level atoms. We take into account the influence of spontaneously generated coherence when the lower atomic levels are sufficiently close to each other, in which case Kerr-type nonlinear response of the atoms is enhanced. We calculate the propagation of a probe beam in the defect mode window using numerical nonlinear transfer matrix method. We find that Rabi frequency of a control field acting on the defect layer and the detuning of the probe field from the atomic resonance can be used to control the size and contrast of the hysteresis loop and the threshold of the optical bistability. In particular we find that, at the optimal spontaneously generated coherence, three orders of magnitude lower threshold can be achieved relative to the case without the coherence.Comment: 9 pages, 7 figure

Gender Differences in Demand for Schooling

The comparison of human development indicators in Table 1 shows that Pakistan’s performance is below the average for South Asian countries and below the average for the developing countries. Furthermore, gender differences in human development are also significant within country and across countries. For example, in 1999, differences in male and female literacy rate was 24 points in Pakistan, higher then the difference in less developed countries (equalling 15 points). [See HDC (2001)]. Similarly, within Pakistan, male literacy rate increased from 35 percent in 1980-81 to 56.6 percent in 1998-99 whereas female literacy rate increased from 16 percent in 1980-81 to 32.6 percent in 1998-99. This shows that despite doubling of female literacy rate, the gap between male and female literacy rate widened from 19 percent in 1980-81 to 24 percent in 1998-99. Similarly, another indicator of human capital, i.e., the net enrolment rates at primary level exhibited a declining trend in 1990s, particularly among males. An important reason for the decline could be rise in poverty. Table 2 shows a sustained increase in net enrolment ratio with income, and the positive income effect is higher in urban areas. In rural areas, the enrolment rate increases with income but there is slight decline in female enrolment rate at the highest income level. Thus, despite rapid rise in female enrolment the gender, differences persist and income is the main factor affecting demand for education.

Rural Women’s Access to Credit and Extension: A Strategy for Change

Although still ‘invisible’ to policy-makers, women’s involvement in agricultural and livestock production is empirically established through national surveys and intensive studies. The labour force participation rates for rural women in 1990-91 varied ranged between 57 percent (Agricultural Census) and 43 percent (Pakistan Integrated Household Survey). Evidence from micro studies also shows that women are active participants in the farm and livestock sectors [Freedman and Wai (1988); Masood (1988); Ali et al. (1976); Haque (1986); Khan and Bilquees (1976)]. W hile rural women’s contribution to agricultural and livestock production is well-documented, they have little or no access to productive inputs to enhance their economic participation in these sectors. Evidence based on national level data indicates that women’s participation in agricultural activities is constrained by the lack of land and other assets [Sathar and Desai (1994)]. Contrary to the general view, women belonging to households that own land or other assets have a higher labour force participation rate than landless women. While landless women are more likely to work as agricultural labourers, however, the demand for wage employment is seasonal, limited to a few activities and certain regions, and their lack of assets to work with excludes any possibility of self-employment. Findings of village level research indicate a wide gap between the technology used by rural women and the more efficient practices in livestock production, which is attributed to their lack of contact with extension services and to their lack of resources to adopt more efficient methods of livestock care.

Calculating Masses of Pentaquarks Composed of Baryons and Mesons

In this paper, we consider an exotic baryon (pentaquark) as a bound state of two-particle systems composed of a baryon (nucleon) and a meson.We used a baryon - meson picture to reduce a complicated five-body problem to a simple two-body problems. The homogeneous Lippmann-Schwinger integral equation is solved in configuration space by using one pion exchange potential. We calculate the masses of pentaquarks $\theta_{c}(uudd\bar{c})$, $\theta_{b}(uudd\bar{b})$.Comment: we need to checked our calculations again for mor confidenc

Women’s Autonomy in the Context of Rural Pakistan

The paper explores the elements that constitute women’s autonomy in rural Pakistan. Hitherto most research on women’s status in Pakistan has either been restricted to proxy measures of women’s status generally or to the urban areas. Community or region, each of which has distinctive features, have an overriding influence on this subject. Northern Punjabi women have lower economic autonomy but greater mobility and decision-making authority than women in Southern Punjab. Gender systems at the village level are also important predictors of women’s autonomy. Economic class has a weak and ambivalent influence on women’s autonomy in rural Punjab. Class influences both education and employment of women, these remains the routes to empowerment in rural settings. While most women in rural areas contribute economically, the majority works on the household farm or within the household economic unit. These women do not derive any additional autonomy as a result of this contribution. Paid employment, though offset by other restrictions on poor women, offers greater potential for women’s autonomy. Education, on the other hand, has a lesser influence on female autonomy in the rural Punjabi context.

How Do Women Decide to Work in Pakistan?

The incidence of women labour force participation is very low in Pakistan. According to the Labour Force Survey, 1999-2000 female participation rate was merely 14 percent of the total labour force. Even though average annual growth rate of female labour force participation has been increasing slightly in Pakistan; it was 4 percent in 1980-99 and has gone up to 5.1 percent during 1995-98,1 however, this rate is still very low as compared to the other South Asian countries—42 percent in Bangladesh, 41 percent in Nepal, 32 percent in India and Bhutan, 37 percent in Sri Lanka [World Bank (2002)]. This paper is an attempt to identify household related factors that lead to women participation in the economic activities. This issue has been taken up in a number of other studies.2 The innovative aspect of this paper is that it relates women’s decision to participate in economic activities with their empowerment—who makes the decision to participate in the labour force—whether it is the women themselves or others. We would like to state at the very onset that this paper is a first cut to explore the issues of women’s participation in economic activities and their and empowerment. We hope to get feedback in the conference to improve the technical aspects of this paper and explore other aspects of this issue. Some key empirical findings of this paper are that the women economic participation is significantly influenced by factors such as their age, education and marital status. The employment status of the head of the household (generally a male), presence of male member, and children of ages 0–5 are also important variables that significantly affect women’s participation in economic activities. We identified marital status, education level, family size, household’s financial status and area of residence as the main causal factors behind women making their own decisions about paid employment.