Factors Influencing Job Satisfaction of Employees in Telecom Sector of Pakistan

The telecom industry plays an important role in the underpinning of a country’s economy. This study is aimed at getting a clearer view of the level of satisfaction of the employees in various telecom companies. The main concerns are the relative importance and need of different job satisfaction factors and how they contribute to the overall satisfaction of the employees. Another field of focus is the impact of different things, such as experience, age and sex on job satisfaction. The results deduced represent employee relations, salary, fringe supervision, and efficiency as the most important factors influencing job satisfaction. It was seen that job satisfaction was good in telecommunication companies This paper was utilized in understanding the importance of the environment in which the employees work, pay, fairness, promotion, job security, supervisors, and co-worker relationships and their effect on job satisfaction. All telecom companies Ufone, Zong, Telenor, Warid telecom, Pakistan Telecommunication and Mobilink were visited to collected data. Data was quantitatively collected through close-ended questionnaires with a sample size of 200 telecom sector employees. Data was analyzed through correlation and multiple regression using SPSS software and results were significant. The overall job satisfaction of the employees in the telecom sector is at the positive level. Hence, this research was mainly undertaken to investigate on the significance of factors such as working conditions, pay and promotion, job security, fairness, relationship with co-workers and supervisors in affecting the job satisfaction. This paper presents a comprehensive diagnosis of job satisfaction indices of telecom sector, the factors causing the dissatisfaction & suggestions to improve them. Keywords: Job Satisfaction, Job Dissatisfaction, employees, telecom sector, Pakistan

EFFECT OF MICRO FINANCE ON POVERTY REDUCTION OF SMALL SCALE FARMERS OF PAKISTAN

This study revealed the impact of micro finance with regard to poverty alleviation, employment generation opportunities, upraise in the standards of living of the small farmers of Pakistan along with the access of such finances and their financial cost. Small farmers often rely on the loans and finance from the formal and informal sources of finance. There is low rate of sustainability in the micro finance sector. These schemes remain for a small time period. Another challenge is that there is a need of replicable and scalable model. There is also a requirement of formalization of informal credit source which count for higher. There is high need of reducing the ambiguities in obtaining the credit from these sources. With respect to agriculture, the proportion of finance should be increase with the proportion to its contribution to the economy. The data for this study has been collected through a selfstructured questionnaire and respondents are small farmers who are availing the micro finance facility for any source; informal, formal or semi – informal. The data collected form 150 respondent from Sahiwal and Multan Region. The data has been analyzed through regression and correlation method with the use of SPSS for checking the relationship and impact of micro finance on the living of poor and employment generation. This paper also concluded that the financial cost of such finances is having significant role on the success of such schemes. The research is a contribution to the financial sector to set their focus according to the quality and quantity of micro credit to the agriculture sector

Functional and radiological outcome of osteosynthesis using proximal femoral nail antirotation II system in intertrochanteric femoral fractures

Background: Intertrochanteric fractures are relatively common injuries in adults and a common source of morbidity and mortality among the elderly. Incidence of fractures is increasing because the general life expectancy of the population has increased significantly during the past few decades. Stable fixation and early mobilization is needed in these fractures to reduce the morbidity and mortality. Extra-medullary implants are biomechanically inferior in these cases. The proximal femoral nail antirotation-II (PFNA-II) is an intra-medullary nail system designed for such fractures. The purpose of this study was to assess the results and complications of PFNA-II in intertrochanteric femur fractures.Methods: After seeking approval from institutional Ethical committee, this study was conducted on 30 patients attending our emergency department with intertrochanteric femur fractures at SKIMS Medical College Hospital Bemina, Srinagar from February 2018 to June 2019. The patients were treated with proximal femoral nail antirotation-II. Follow up was done at 2, 6, 12 and 24 weeks.  The functional outcome was assessed at 6 months follow up using the Harris Hip Score.Results: Based on the Harris hip score, 18 (60%) patients had excellent results, 10 (33%) had good results and 2 (7%) had Fair results. None of the patients had poor result. Average time to union was 12.27 weeks.Conclusions: This study found the PFNA-II to be a versatile, easy to use and dependable implant for stable as well as unstable intertrochanteric fractures. PFNA II is distinct advance over the previous methods of treatment, though it has an initial learning curve

Infollution (Information Pollution) Management, Filtering Strategy, Scalable Workforce, and Organizational Learning: A Conceptual Study

Information generation is increasing rapidly on a global scale. The exponential advancement in information technology and communication has accentuated the problem of effective information management. Yet, employees’ cognitive ability to process information has not increased in parallel with information generation. With the exponential rise of information, information pollution (infollution) emerges as a problem on an exponential basis. Infollution is among the greatest challenges of the 21st century. Nevertheless, based on information processing theory and dynamic capability, researchers have conceptualised that agile organisations can cope with information pollution by promoting scalable workforce and organisational learning. By employing coping strategies, filtering has been hypothesised as moderating the association of scalable workplace and organisational learning with infollution management. This research will extend the literature in the domain of information management and agile organisations. It will be particularly useful for information processors to identify quality information for improved decision-making.&nbsp

Prediction of Viral Loads for Diagnosis of Hepatitis C Infection in Human Plasma Samples Using Raman Spectroscopy Coupled with Partial Least Squares Regression Analysis

Raman spectroscopy has been used to identify the biochemical changes associated with the presence of the Hepatitis C virus (HCV) in infected human blood plasma samples as compared with healthy samples, as control. The aim of the study was to establish the Raman spectral markers of hepatitis infection, which could be used for diagnostic purposes. Moreover, multivariate data analysis techniques, including Principal Component Analysis (PCA), coupled with Linear Discriminant Analysis (LDA), and Partial Least Square Regression (PLSR) are employed to further demonstrate the diagnostic capability of the technique. The PLSR model is developed to predict the viral loads of the HCV infected plasma on the basis of the biochemical changes caused by the viral infection. Specific Raman spectral features are observed in the mean spectra of HCV plasma samples which are not observed in the control mean spectra. PCA differentiated the ‘normal’ and ‘HCV’ groups of the Raman spectra and PCA-LDA was employed to increase the efficiency of prediction of the presence of HCV infection, resulting in a sensitivity and specificity 98.8% and 98.6%, with corresponding Positive Predictive Value of 99.2%, and Negative Predictive Value of 98%. PLSR modelling was found to be 99% accurate in predicting the actual viral loads of the HCV samples, as determined clinically using the Polymerase Chain Reaction (PCR) technique, on the basis of the Raman spectral changes caused by the virus during the process of the development of Hepatitis C. Copyright © 2017 John Wiley & Sons, Ltd

INHERITED GENETIC SUSCEPTIBILITY TO BREAST CANCER IN PAKISTAN

Breast cancer is a heterogeneous disease. Several genetic, environmental and lifestyle factors are involved in the aetiology of this disease. Genetic risk factors include alterations (mutations) in genes conferring risks to develop breast cancer. Depending on the associated lifetime risks of this malignancy, these genes are categorised into high-, moderate- and low-risk genes. Women carrying mutations in these genes are at an increased risk to develop breast cancer, ovarian cancer and several other malignancies. Breast carcinoma is the most reported malignancy in Pakistani females. Pakistan is a developing country with most of its population living in rural areas; hence, optimal healthcare facilities are inadequate for the early diagnosis and prevention of this disease. Hence, identification of individuals carrying mutations is clinically relevant as different strategies are available for the early detection, risk reduction and better management of this malignancy. This review summarises the findings of the major studies conducted in Pakistan to investigate the contribution of breast cancer predisposing genes. Furthermore, implications of the current studies and future research potentials are discussed.Key words: Breast cancer gene 1/2, breast cancer, checkpoint kinase 2, genetic susceptibility, Pakistan, RAD51C, tumour Protein p53, Vitamin D recepto

Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements

Optical flow is the pattern of apparent motion of objects in a scene. The computation of optical flow is a critical component in numerous computer vision tasks such as object detection, visual object tracking, and activity recognition. Despite a lot of research, efficiently managing abrupt changes in motion remains a challenge in motion estimation. This paper proposes novel variational regularization methods to address this problem since they allow combining different mathematical concepts into a joint energy minimization framework. In this work, we incorporate concepts from signal sparsity into variational regularization for motion estimation. The proposed regularization uses a robust l1 norm, which promotes sparsity and handles motion discontinuities. By using this regularization, we promote the sparsity of the optical flow gradient. This sparsity helps recover a signal even with just a few measurements. We explore recovering optical flow from a limited set of linear measurements using this regularizer. Our findings show that leveraging the sparsity of the derivatives of optical flow reduces computational complexity and memory needs.Comment: 12 pages, 9 figures, and 3 table

2-Carboxy­anilinium chloride monohydrate

In the mol­ecule of the title compound, C7H8NO2 +·Cl−·H2O, an intra­molecular N—H⋯O hydrogen bond results in the formation of a non-planar six-membered ring adopting a flattened boat conformation. In the crystal structure, inter­molecular O—H⋯O and N—H⋯Cl hydrogen bonds link the mol­ecules. There is a C=O⋯π contact between the carbonyl unit and the centroid of the benzene ring. There is a C=O⋯π contact [C⋯Cg = 3.5802 (18), C—O⋯Cg = 89 (1)°] between the carbonyl unit and the centroid of the benzene ring