947 research outputs found

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

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    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

    Measuring the Impact of Industrialization and Financial Development on Water Resources: A Case Study of Pakistan

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    The objective of the study examines the impact of industrialization and financial development on water resources, in the specific context of Pakistan. Data set from 1975-2009 are taken for time series analysis. The result reveals that economic growth positively linked with the water resource, as water plays a pivotal role in the economic development of a country. Thus limiting this resource would affect the process of economic growth. Industrial processes have a negative environmental impact which causing water pollution. Financial development has an indirect effect on water consumption, as it shows that private firms finds more funding opportunities in a country, therefore, avoid dirty industry game.Economics growth, financial development, industrialization, water resource, cointegration, bonds test, Pakistan.

    Impact of Internal Physical Environment on Academicians' Productivity in Pakistan: Higher Education Institutes Perspectives

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    This study empirically examines the impact of indoor physical environment on academicians' productivity in different higher education institutes of Khyber Pakhtoonkhawa (KPK) province of Pakistan. The study is based on primary data collected from one hundred and forty four educationists' of various institutes in Pakistan. A structured questionnaire was used for data collection. The data was analyzed using the techniques of rank correlation coefficient and multiple regression analysis. All the findings were tested at 0.01 and 0.05 level of significance. The finding of this study shows that office design is very important in terms of increasing employee's productivity. The study opines that comfortable and contented office design motivates and energized the employees to increase their performance. Keywords: Ergonomics, Productivity, Office design, Higher education institutes, Correlation, Regression, Pakistan

    Machine Learning based Energy Management Model for Smart Grid and Renewable Energy Districts

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    The combination of renewable energy sources and prosumer-based smart grid is a sustainable solution to cater to the problem of energy demand management. A pressing need is to develop an efficient Energy Management Model (EMM) that integrates renewable energy sources with smart grids. However, the variable scenarios and constraints make this a complex problem. Machine Learning (ML) methods can often model complex and non-linear data better than the statistical models. Therefore, developing an ML algorithm for the EMM is a suitable option as it reduces the complexity of the EMM by developing a single trained model to predict the performance parameters of EMM for multiple scenarios. However, understanding latent correlations and developing trust in highly complex ML models for designing EMM within the stochastic prosumer-based smart grid is still a challenging task. Therefore, this paper integrates ML and Gaussian Process Regression (GPR) in the EMM. At the first stage, an optimization model for Prosumer Energy Surplus (PES), Prosumer Energy Cost (PEC), and Grid Revenue (GR) is formulated to calculate base performance parameters (PES, PEC, and GR) for the training of the ML-based GPR model. In the second stage, stochasticity of renewable energy sources, load, and energy price, same as provided by the Genetic Algorithm (GA) based optimization model for PES, PEC, and GR, and base performance parameters act as input covariates to produce a GPR model that predicts PES, PEC, and GR. Seasonal variations of PES, PEC, and GR are incorporated to remove hitches from seasonal dynamics of prosumers energy generation and prosumers energy consumption. The proposed adaptive Service Level Agreement (SLA) between energy prosumers and the grid benefits both these entities. The results of the proposed model are rigorously compared with conventional optimization (GA and PSO) based EMM to prove the validity of the proposed model

    Impact of Internal Physical Environment on Academicians' Productivity in Pakistan: Higher Education Institutes Perspectives

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    This study empirically examines the impact of indoor physical environment on academicians' productivity in different higher education institutes of Khyber Pakhtoonkhawa (KPK) province of Pakistan. The study is based on primary data collected from one hundred and forty four educationists' of various institutes in Pakistan. A structured questionnaire was used for data collection. The data was analyzed using the techniques of rank correlation coefficient and multiple regression analysis. All the findings were tested at 0.01 and 0.05 level of significance. The finding of this study shows that office design is very important in terms of increasing employee's productivity. The study opines that comfortable and contented office design motivates and energized the employees to increase their performance. Keywords: Ergonomics, Productivity, Office design, Higher education institutes, Correlation, Regression, Pakistan

    Potential Drug-Drug Interactions in Psychiatric Ward of a Tertiary Care Hospital: Prevalence, Levels and Association with Risk Factors

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    Purpose: To identify the prevalence of potential drug-drug interactions (pDDIs) in a psychiatric ward, their levels and association with risk factors.Methods: This study was conducted in the psychiatric ward of Ayub Teaching Hospital, Abbottabad, Pakistan. Medical records of 415 patients were retrospectively reviewed for pDDIs using Micromedex Drug-Reax software. Logistic regression was applied to determine association of pDDIs with age, gender, hospital stay and number of drugs.Results: In our study, we identified total number of 825 pDDIs of 126 types, with median number of 1 pDDIs per patient. Overall 64.8 % of the patients had at least one pDDI; 27.2 % at least one major pDDI; and 58.5 % patients at least one moderate pDDI. Among 825 identified pDDIs, most were of moderate (75.6 %) or major (20.8 %) severity, good (66.4 %) or fair (29 %) type of scientific evidence; and delayed onset (71 %). The most frequent major and moderate pDDIs included haloperidol + procyclidine (127 cases), haloperidol + olanzapine (49), haloperidol + promethazine (47), haloperidol + fluphenazine (41), diazepam + divalproex sodium (40), haloperidol + trihexyphenidyl (37), lorazepam + divalproex sodium (34), fluphenazine + procyclidine (33) and olanzapine + divalproex sodium (32). There was significant association of occurrence of pDDIs with hospital stay of 7 days or longer (p = 0.005) and taking 7 or more drugs (p < 0.001).                                                       Conclusion: A high prevalence of pDDIs in the psychiatric ward was recorded, a majority of which were of moderate severity. Patients with long hospital stay and increased number of drugs were more exposed to pDDIs.Keywords: Drug-drug interactions, Potential drug-drug interaction, Prescriptions screening, Drug-related problems, Clinical pharmacy

    Impact of Devaluation on Trade Balance in Pakistan

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    The purpose of this paper is to find the impact of devaluation on trade balance in Pakistan in both long and short run using bound testing approach to Cointegration and Error Correction Mechanism (ECM). The result shows that devaluation is effective in improving trade balance and there is a cointegrated relationship between the real effective exchange rate and trade balance in the long run.

    Motivation and retention of physicians in primary healthcare facilities: a qualitative study from abbottabad, Pakistan

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    BACKGROUND: Workforce motivation and retention is important for the functionality and quality of service delivery in health systems of developing countries. Despite huge primary healthcare (PHC) infrastructure, Pakistan\u27s health indicators are not impressive; mainly because of under-utilization of facilities and low patient satisfaction. One of the major underlying issues is staff absenteeism. The study aimed to identify factors affecting retention and motivation of doctors working in PHC facilities of Pakistan. METHODS: An exploratory study was conducted in a rural district in Khyber Puktunkhwa (KP) province, in Pakistan. A conceptual framework was developed comprising of three organizational, individual, and external environmental factors. Qualitative research methods comprising of semi-structured interviews with doctors working in basic health units (BHUs) and in-depth interviews with district and provincial government health managers were used. Document review of postings, rules of business and policy actions was also conducted. Triangulation of findings was carried out to arrive at the final synthesis. RESULTS: Inadequate remuneration, unreasonable facilities at residence, poor work environment, political interference, inadequate supplies and medical facilities contributed to lack of motivation among both male and female doctors. The physicians accepted government jobs in BHUs with a belief that these jobs were more secure, with convenient working hours. Male physicians seemed to be more motivated because they faced less challenges than their female counterparts in BHUs especially during relocations. Overall, the organizational factors emerged as the most significant whereby human resource policy, career growth structure, performance appraisal and monetary benefits played an important role. Gender and marital status of female doctors was regarded as most important individual factor affecting retention and motivation of female doctors in BHUs. CONCLUSION: Inadequate remuneration, unreasonable facilities at residence, poor work environment, political interference, inadequate supplies, and medical facilities contributed to lack of motivation in physicians in our study. Our study advocates that by addressing the retention and motivation challenges, service delivery can be made more responsive to the patients and communities in Pakistan and other similar settings

    Firearm Injuries Presenting to a Tertiary Care Hospital of Karachi, Pakistan

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    Background: Violence is a public health problem in low and middle income countries. Our study attempted to define the circumstances, risk groups, extent and severity of firearm-related injuries in Patients coming to the Aga Khan University Hospital (AKUH) Karachi, Pakistan. Methods: This was a retrospective study conducted in the department of Emergency Medicine (EM) at AKUH Karachi, Pakistan. Past medical records of all Patients who were injured by firearms and were presented to the AKUH Emergency Department (ED) from June 2002 till May 2007 were reviewed. Data were recorded on the basic demographics of injured, length of hospital stay, body parts injured and the outcome (alive vs. dead). Results: Total of 286 Patients with firearm injuries were identified. Majority of them were males (92%, n=264). More than half of the Patients (63%) were in the age group of 21-40 years. Upon arrival to the hospital 85% (n=243) of Patients had Glasgow Coma Scale (GCS)\u3e= 13. The mean injury severity score (ISS) was found to be 6 (SD 4). The length of hospital stay of Patients ranged from 0 to 54 days with a mean of 7 days. Lower limb were the most affected body parts (30%, n=86) followed by abdomen pelvis (27%, n=77). Seven percent (n=21) of the Patient who were brought to the hospital were labeled as deceased on arrival . Most of the injuries were caused during the act of robbery (40%, n=103) in the city. Conclusions: Robbery was the most common cause of firearm injuries. Lower limb, abdomen and pelvis were the most affected body regions. Educational efforts, and individual, community and societal approaches are needed to alleviate firearm-related injuries
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