Measuring Push, Pull And Personal Factors Affecting Turnover Intention: A Case Of University Teachers In Pakistan

It has been observed that professional and qualified teacher’s retention become a challenge for Higher Education Institutions (HEIs) in Pakistan as the turnover rate has been significantly increased in recent years. The main objective of this paper is to access personal, push and pull factors and to find out that which factors contribute more to turnover intention. Primary data were collected from 100 teachers of 5 HEIs using questionnaire methods. The results indicate that all factors (personal, pull and push) have contributed in the employees’ turnover intentions. However, some facets of personal factor have significantly contributed in turnover intentions.Turnover, Higher Education Institution, Job Quit, Personal Factors, Push Factors, Pull Factors

Women Councilors for Women\u27s Empowerment in Pakistan

There are considerable disparities between the status of men and women in Pakistan. In Global Gender Gap Report 2014, Pakistan is ranked at 141 among 142 countries of the world and the overall gender gap calculated is 44.78%. Pakistan occupies the last place in the regional ranking of gender gap. In order to reduce this gap, empower women and reduce poverty, the government of Pakistan has adopted various social, economic, legal and political strategies and policies. The reservation of 33% seats for women at union council (village level), tehsil council (sub-district level) and district council level under the new local government plan (devolution plan) in 2000 is one of the strategies adopted for empowerment of women. This created a critical mass of 39,964 women councilors in Pakistan. In order to assess the effectiveness and impact of women councilors for women’s empowerment, a study was conducted in two selected districts of Pakistan, i.e. Abbottabad (Kyber Pakhtunkhwa Province) and Attock (Punjab Province). Primary data were collected from 54 women councilors of both the districts. The result shows that participation of women councilors in local government remained good. Hence, the economic effect was quite surprising. However, no separate funds/schemes were initiated for women. Their influence over changing polices remained weak. The women councilors in the new local government system increased awareness and coordination among women. However, they were unable to reduce violence and awaken other women regarding their rights

Exploring the Link between Poverty-Pollution-Population (3Ps) in Pakistan: Time Series Evidence

The relationship between poverty, population growth and environment has been widely debated inside the academic circles. There is a general consensus that poverty is a major cause of population growth and environmental degradation and reversely population growth is the major cause of poverty and environmental degradation. The present study examines the impact of poverty on environment (air pollution) and population and reversely the impact of population on environment (air pollution) and poverty in the specific context of Pakistan during a period of 1975-2009. Data is analyzed using Ordinary Least Square (OLS) regression method and Autoregressive Distributed Lag (ARDL)-bounds testing approach to examine the linkage. The results of the OLS test show that rapid population and air pollution has a significant contributor to poverty in Pakistan. However, the results nullify the conventional view that poverty is a major cause of environmental degradation (or air pollution), while the result supports the hypothesis that population have a deleterious impact on increasing poverty. The results of bounds test show that there is a stable long-run relationship between population, poverty and pollution in Pakistan. On the other hand, results of the causality test show that there is a unidirectional causal flow from population to carbon dioxide emission. The post reform period is observed with the estimated coefficient of the poverty dummy variable (POVDUM) which shows that poverty in Pakistan has increased due to deprived performance of federal policies on pro-poor reforms in Pakistan. The post reform period is observed with the population dummy variable (POPDUM) reflecting that population growth has increased significantly during the said reform period. Keywords: Population, Air Pollution, Poverty, Headcount Ratio, Population Dynamics, Carbon Dioxide Emission, Time Series, Bounds Test, Pakistan

An Investigation of the Major Wheat Weeds in Different Zones of Dera Ismail Khan

On account of huge yield losses, weed infestation is a serious threat in wheat crops throughout the country. A comprehensive survey to find out the major weeds in wheat in Dera Ismail Khan was carried out during the crop season of 2012-13. Wheat fields at seed farms of Rakhmanghan, RakhZandani, Rata Kulachi and adjacent farmer’s fields to each seed farm were investigated. Data was collected at the peak growth stage of weeds and the quadratic method was used to record relative density (RD), relative frequency (RF), relative crowding coefficient (RCC) and importance value index (IVI). The results revealed that the major and most problematic weed of wheat at all the locations was Avena fatua (wild oat) on account of having maximum IVI at Rakh Manghan (78.51 & 77.44), Rata Kulachi (77.82 & 77.54) and Rakh Zandani (77.51 & 77.53) seed Farms and Farmer’s fields respectively. Rumex dentatus (dock) and Convolvulus arvensis (Lehli) were the second and third abundantly occurring weeds at almost all the seed farms and farmer fields on account of having the second and third highest IVI values at all the locations. Therefore Avena fatua (wildoat), Rumex dentatus (dock) and Convolvulus arvensis (lehli) seed were collected to find out the yield losses through further experimentation

Evaluation the effectiveness of abridged IMNCI (7-Day) course v standard (11-Day) course in Pakistan

Background: The conventional IMCI training for healthcare providers is delivered in 11 days, which can be expensive and disruptive to the normal clinical routines of the providers. An equally effective, shorter training course may address these challenges.Methods: We conducted a quasi-experimental study in two provinces (Sindh and Punjab) of Pakistan. 104 healthcare providers were conveniently selected to receive either the abridged (7-day) or the standard (11-day) training. Knowledge and clinical skills of the participants were assessed before, immediately on conclusion of, and six months after the training.Results: The improvement in mean knowledge scores of the 7-day and 11-day training groups was 31.6 (95% CI 24.3, 38.8) and 29.4 (95% CI 23.9, 34.9) respectively, p = 0.630 while the improvement in mean clinical skills scores of the 7-day and 11-day training groups was 23.8 (95% CI: 19.3, 28.2) and 23.0 (95% CI 18.9, 27.0) respectively, p = 0.784. The decline in mean knowledge scores six months after the training was - 12.4 (95% CI - 18.5, - 6.4) and - 6.4 (95% CI - 10.5, - 2.3) in the 7-day and 11-day groups respectively, p = 0.094. The decline in mean clinical skills scores six months after the training was - 6.3 (95% CI - 11.3, - 1.3) in the 7-day training group and - 9.1 (95% CI - 11.5, - 6.6) in the 11-day group, p = 0.308.Conclusion: An abridged IMNCI training is equally effective as the standard training. However, training for certain illnesses may be better delivered by the standard course

THE QUALITY OF HYDROGENATED OILS (BANASPATI GHEE) MANUFACTURED IN PAKISTAN

In order to assess the quality of different brands of hydrogenated oils the nickel and vitamin A contents, and the chemical constants of these oils were determined and compared with those of refined corn oil and butter fat. It was observed that the nickel and vitamin A contents of ten important brands of banaspati ghee manufactured in Pakistan varied from 18 to 105 and 3825 to 5482 IU per 100 g of the oil, respectively. Refined corn oil and butter fat contained no nickel, and appreciable amount of vitamin A, The physical and chemical constants of the oils indicate that corn oil contained unsaturated fatty acids in higher proportions as compared to hydrogenated oil and butter fat. The higher saponification, Reichert-Meissl and Polenske values of butter fat show that it contained higher amounts of low molecular weight, volatile fatty acids. The use of refined vegetable oil is recommended to maintain human health

A Preliminary Survey of Harmful Date Palm Fauna in D. I. Khan

A survey was conducted to find out date palm fauna in D.I. Khan on the variety “Dhakki” in the months of June to September, 2014. The observed insects including Rhynchoforus ferrugineus, Palaminus  simony,  Palaminus  nilgirienses  (Staphylinidae),  Sparostes  striatulus  (Carabidae), Coccinella septumpunctata (Coccinellidae), Clerada apicicornis (Lygidae),  Monomorium indicum (Formicidae)  and  Blata  orientalis  (Blattidae).  All the three stages (larva, pupa and adult)  of Rhynchophorus ferrugenius were collected from within the palm and it was found as the major insect. Among the pollinating insects; beetles, bees (honey bees and bumble bees) and flies were observed and collected. In addition to above mentioned insects, myriads of arachnids viz. Peucitia prasina, Acanthodan crassus, Acanthodan fortis and snails viz.  Monoca obstructa were also collected from the leaves and stem, respectively. All the insects had no influence on the date palm, except Red Palm Weevil (RPW)

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

Numerous wireless networks have emerged that can be used for short communication ranges where the infrastructure-based networks may fail because of their installation and cost. One of them is a sensor network with embedded sensors working as the primary nodes, termed Wireless Sensor Networks (WSNs), in which numerous sensors are connected to at least one Base Station (BS). These sensors gather information from the environment and transmit it to a BS or gathering location. WSNs have several challenges, including throughput, energy usage, and network lifetime concerns. Different strategies have been applied to get over these restrictions. Clustering may, therefore, be thought of as the best way to solve such issues. Consequently, it is crucial to analyze effective Cluster Head (CH) selection to maximize efficiency throughput, extend the network lifetime, and minimize energy consumption. This paper proposed an Accelerated Particle Swarm Optimization (APSO) algorithm based on the Low Energy Adaptive Clustering Hierarchy (LEACH), Neighboring Based Energy Efficient Routing (NBEER), Cooperative Energy Efficient Routing (CEER), and Cooperative Relay Neighboring Based Energy Efficient Routing (CR-NBEER) techniques. With the help of APSO in the implementation of the WSN, the main methodology of this article has taken place. The simulation findings in this study demonstrated that the suggested approach uses less energy, with respective energy consumption ranges of 0.1441 to 0.013 for 5 CH, 1.003 to 0.0521 for 10 CH, and 0.1734 to 0.0911 for 15 CH. The sending packets ratio was also raised for all three CH selection scenarios, increasing from 659 to 1730. The number of dead nodes likewise dropped for the given combination, falling between 71 and 66. The network lifetime was deemed to have risen based on the results found. A hybrid with a few valuable parameters can further improve the suggested APSO-based protocol. Similar to underwater, WSN can make use of the proposed protocol. The overall results have been evaluated and compared with the existing approaches of sensor networks

Confirmation of root-knot nematode resistant gene Rmi1 using SSR markers

Background: The Root Knot Nematode (RKN) is a serious economic threat to various cultivated crops worldwide. It is a devastating pest of soybean and responsible to cause severe yield loss in Pakistan. The cultivation of resistant soybean varieties against this pest is the sustainable strategy to manage the heavy loss and increase yield. There is an utmost need to identify RKN resistant varieties of soybean against cultivated in Pakistan. The presented study is an attempt to identify and confirm the presence of resistant gene Rmi1 in soybean. Method: Molecular studies have been done using Simple Sequence Repeat (SSR) marker system to identify resistant soybean varieties against Root Knot Nematode (RKN) using fifteen (15) indigenous cultivars and four (4) US cultivars. DNA was isolated, purified, quantified and then used to employ various SSR markers. The amplified product is observed using gel documentation system after electrophoresis. Results: Diagnostic SSR markers Satt-358 and Satt-492 have shown the presence of Rmi1 gene in all resistance carrying genotypes. Satt-358 amplified the fragment of 200 bp and Satt-492 generated 232 bp bands in all resistant genotypes. This study confirmed the Rmi gene locus (G248A-1) in all internationally confirmed resistant including six (6) native varieties. Conclusion: These investigations have identified six (6) resistant cultivars revealing the effective and informative sources that can be utilized in breeding programs for the selection of RKN resistance soybean genotypes in Pakistan