42 research outputs found

    Relationship Between Trade Balance and Real Exchange Rate (Marshal Lerner Condition): Evidence from Pakistan

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    The study analyzed the Marshal Lerner Condition implementation in Pakistan from the year 1961 to 2013, data gathered from the State Bank, World Bank and IMF statistics. We find the relationship between the trade balance and real exchange rate in Pakistan. On the annual time series data for the years 1961-2013 we used unit root test for stationarity, and johansen鈥檚 cointegration test for long-run equilibrium relationship between the variables for each model. The central outcomes of this study are: long run relationship exists between trade balance and exchange rate, these relationships are explaining that exports significantly affect with the exchange rate in short-run and in long-run also. The long run relationship also exists and devaluation of the currency improve the trade balance by increasing the exports and decreasing the imports. Keywords: Exchange rate, Trade balance DOI: 10.7176/JESD/11-7-01 Publication date: April 30th 202

    Economics of Wheat Production in Mohmand Agency, Khyber Pakhtunkhwa, Pakistan

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    The central theme of this research endeavour was to compute the cost and net returns of wheat crop. This study has also highlighted the significant variables contributing in wheat productivity. The study universe was two focused villages namely Malok-Korona and Peer-Qila of Ekaghund Tehsil, Mohmand Agency. The proportional allocation sampling technique was used to get the required sample size of 70 respondents. However, 26 respondents from Malok-Korona and 44 respondents from Peer-Qila were interviewed through face to face interview technique. The marked findings of this study divulge that vast majority of the farmers (61.43%) were using certified seed and the study area was predominantly dependent upon rainfall as reported by 60 % of the respondents. It is further revealed that the mean cost of production incurred by the sampled growers was estimated as Rs. 30,000 per acre. Income trend observed by 70 per cent of the respondent through wheat crop was found Rs.40000 per acre. The average income of farmers through wheat crop was Rs.35286 per acre. The estimated results of regression analysis corroborate the expected sign of the majority of coefficient of explanatory variables. Among explanatory variables seed, irrigation and labor days were significant while urea and FYM were found insignificant for crop yield. The study recommends that attempts for awareness, supply of loans, inputs like fertilizer, pesticide, apt agriculture approaches, demonstration plots and training programs should be made available to farmers for higher wheat production in Mohmand Agency

    Molecular Analyses of Phenylketonuria in The Intellectually Disabled Children from Faisalabad, Punjab, Pakistan

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    ABSTRACT Background and Objective: Phenylketonuria (PKU) is a rare inherited metabolic disorder, caused by mutations in the phenylalanine hydroxylase (PAH). It is a treatable disorder if diagnosed earlier in life. The objective was to identify PKU patient(s) amongst the intellectually disabled children. Methods: Blood samples (n=100) were collected from intellectually disabled children from Faisalabad, Pakistan. Screening was performed on plasma samples through High Performance Liquid Chromatography (HPLC), and DNA samples were examined for mutation analysis of PAH through direct PCR and SSCP analyses. Results: In the current study, 85% consanguinity rate was observed, with the average BMI (16.15 kg/m2) and head circumference(50.21 cm) was observed and the age range of the patients were 8-14 years. Moreover, through biochemical and genetic analyses, not a single PKU patient was identified. Conclusion: Based on just one previous report and our small dataset it is concluded that either mutations are not common in the hotspot regions or chances of occurrence of PKU might be rare in Pakistan. Moreover, there is a need of more research on large scale to find the incidence of PKU in Pakistan

    Beyond the horizon, backhaul connectivity for offshore IoT devices

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    The prevalent use of the Internet of Things (IoT) devices over the Sea, such as, on oil and gas platforms, cargo, and cruise ships, requires high-speed connectivity of these devices. Although satellite based backhaul links provide vast coverage, but they are inherently constrained by low data rates and expensive bandwidth. If a signal propagated over the sea is trapped between the sea surface and the Evaporation Duct (ED) layer, it can propagate beyond the horizon, achieving long-range backhaul connectivity with minimal attenuation. This paper presents experimental measurements and simulations conducted in the Industrial, Scientific, and Medical (ISM) Band Wi-Fi frequencies, such as 5.8 GHz to provide hassle-free offshore wireless backhaul connectivity for IoT devices over the South China Sea in the Malaysian region. Real-time experimental measurements are recorded for 10 km to 80 km path lengths to determine average path loss values. The fade margin calculation for ED must accommodate additional slow fading on top of average path loss with respect to time and climate-induced ED height variations to ensure reliable communication links for IoT devices. Experimental results confirm that 99% link availability of is achievable with minimum 50 Mbps data rate and up to 60 km distance over the Sea to connect offshore IoT devices

    The emerging role of virtual reality training in rehabilitation

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    Virtual reality (VR) uses computer-generated simulations to create a virtual environment for users which appears, sounds, and feels like real-life objects and events. The use of VR in rehabilitation is relatively new and has demonstrated to be an effective tool in achieving desired clinical outcomes by active engagement of participants. Over the past few years, the use of VR in rehabilitation has rapidly increased because of its advantages over traditional rehabilitation techniques. These include better patient adherence to the rehabilitation protocols with high levels of engagement and motivation. This review summarises the available evidence on the role of VR in rehabilitation, its effects, and scope across different clinical conditions and outcomes. We also describe the current status of VR utilization in rehabilitation settings across Pakistan and highlight the need for further research

    Foreign Direct Investment and Sustainable Long Run Economic Growth Nexus: A Case Study of Pakistan

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    The present study examined the relationship between economic growth and FDI in Pakistan by utilizing the data for the time period 1975-2015. The study employed a number of statistical and econometric tools for the analysis. ADF test for stationarity of data, and ARDL approach to cointegration is used for parameter estimations. The study includes GDP growth rate, foreign direct investment, trade openness, inflation and labour force as the variables of the study. The results indicated that the association between FDI and GDP growth is negative, for Pakistan, in the long run, while the results illustrated the positive association among variables in short run. Trade openness enhances GDP growth both in the long and short run, the result also revealed

    A Review of antihyperlipidemic effect of synthetic phenolic compounds

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    It is seen that most of the deaths are occurring due to diseases of cardiovascular system. There is a significant impact of lifestyle changes on the quality of health. Utilization of food highly rich with saturated fat and having low fiber content is one of the factors of disarray in energy balance. It is now evinced that hyperlipidemia is depicted as a major risk factor for the premature development of atherosclerosis and its cardiovascular complications. The prevalence of obesity has doubled in the past 25 years; today, two-thirds of adults are overweight in the United State [1]

    Alzheimer Disease Detection Techniques and Methods: A Review

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    Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help of classification frameworks which are offering tools for diagnosis and prognosis. Here is the review study of Alzheimer's disease based on Neuroimaging and cognitive impairment classification. This work is a systematic review for the published work in the field of AD especially the computer-aided diagnosis. The imaging modalities include 1) Magnetic resonance imaging (MRI) 2) Functional MRI (fMRI) 3) Diffusion tensor imaging 4) Positron emission tomography (PET) and 5) amyloid-PET. The study revealed that the classification criterion based on the features shows promising results to diagnose the disease and helps in clinical progression. The most widely used machine learning classifiers for AD diagnosis include Support Vector Machine, Bayesian Classifiers, Linear Discriminant Analysis, and K-Nearest Neighbor along with Deep learning. The study revealed that the deep learning techniques and support vector machine give higher accuracies in the identification of Alzheimer鈥檚 disease. The possible challenges along with future directions are also discussed in the paper

    Un estudio sobre el uso de combinaciones de palabras en estudiantes de administraci贸n

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    Previous studies have reported lack of collocational competence and difficulties among English as a second language (ESL) learners. However, collocation is crucial in second language acquisition. This research examined the receptive and productive knowledge of collocations among the business students of COMSATS University Islamabad Vehari Campus who studied ESL. It also investigated the gap in the use of collocations at a receptive and productive level. The sample included 61 males and 39 females out of the total sample size of 100. Employing a quantitative approach, we gathered the data through a questionnaire and two collocations tests, and we analysed them via SPSS version 20. The overall result of the collocation test indicated that 66.4% of the respondents had the correct answer at the receptive level compared with only 33.7% at the productive level. Moreover, the statistical result presented a great gap in the ability to utilise collocations at the productive and receptive levels. This result also affirmed that despite their ability to understand the collocations, the students had difficulties in identifying proper English collocations confidently. Local and native language experiences might be one of the reasons that caught the students from being more confident in identifying the English collocations.Previos estudios han informado de la falta de competencia en la ubicaci贸n y las dificultades entre los estudiantes de ingl茅s como segunda lengua (ESL). Sin embargo, las combinaciones de palabras son cruciales en la adquisici贸n de un segundo idioma. Esta investigaci贸n examin贸 el conocimiento receptivo y productivo de las combinaciones de palabras entre los estudiantes de administraci贸n de la Universidad COMSATS de Islamabad (Campus de Vehari) que estudiaron ESL. Tambi茅n investig贸 la brecha en el uso de estas combinaciones a nivel receptivo y productivo. La muestra incluy贸 61 hombres y 39 mujeres, de un total de 100. Empleando un enfoque cuantitativo, recopilamos los datos mediante un cuestionario y dos pruebas de colocaciones, y los analizamos por medio del programa SPSS versi贸n 20. El resultado general de la prueba de colocaci贸n indic贸 que el 66,4 % de los encuestados ten铆a la respuesta correcta a nivel receptivo y solo el 33,7 % a nivel productivo. Adem谩s, el resultado estad铆stico present贸 una gran brecha en la capacidad de utilizar combinaciones de palabras en los niveles productivo y receptivo. Este resultado tambi茅n afirm贸 que, a pesar de su capacidad para comprender las combinaciones de palabras, los estudiantes ten铆an dificultades para identificar con seguridad (...
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