Frequency of Risk Factors for Stroke In Young Pakistani Population

Background and Objective: There is paucity of data regarding risk factors of stroke in young Pakistanis. The objective of this study was to identify the frequency of risk factors for ischemic stroke in the young Pakistani population. Methods: This was a retrospective Cross sectional study conducted at Aziz Fatima Hospital Neurology outpatient’s department between January 2022 to April 2022. All patients presenting with an ischemic stroke within the past month and age between 20 and 49 years were included. Data was collected from patient notes using a table which listed the patient’s demographic information and risk factors. All the patients had appropriate investigations on site to look for cardiac and vessel abnormalities along with relevant blood tests. The results were then assessed using univariate analysis to divide patients according to age, gender and prevalence of risk factors. Results: A total of 53 patient’s data was collected. The mean age was 39 years. The commonest risk factor was hypertension (58%). The other important risk factors were diabetes mellitus (34%), dyslipidemia (26%), ischemic heart disease (22%), smoking (21%), large vessel occlusion (7%), atrial fibrillation (5%) and vasculitis (4%). Positive family history of stroke was found in 26%. Conclusion: Hypertension was the commonest risk factor for young age group under 50 years, followed by diabetes mellitus. Our younger population also had a higher frequency of causes like dyslipidemia, ischemic heart disease and smoking

Effects of Perception of Organizational Politics on Employee’s Well-Being: The Mediating Role of Trust and Interpersonal Conflicts

Perception of organizational politics (POP) is a critical issue for all organizations. Most of the researchers indicate that it has a negative effect on employee’s performance. This study finds the relationship between POP and employee’s well-being (EWB) by using interpersonal conflicts at work (ICW) and interpersonal trust at work (ITW) as mediators. The well-being of employees is an important factor to be studied because it covers overall happiness of employees which includes job satisfaction, performance, job loyalty etc. Therefore, without concerning the employee’s well-being, no organization can compete or lead in the competitive environment. So there is a research gap which needs to conduct a research study on employee’s well-being with the reference to perception of organizational politics. The main focus of this study is to find out the relationship between employee’s well-being and perception of organizational politics with the mediating effect of interpersonal conflicts at work and interpersonal trust at work. The sample size of this study is in a number of 223 with cross-sectional study and conducted in the famous city Lahore, Pakistan

Impact of HR Practices on job Satisfaction of University Teacher: Evidence from Universities in Pakistan

This study investigates the dynamic process through which HR practices (compensation practices, employee performance evaluation practices, promotion practices, empowerment practices) in universities influence individual’s pattern of job satisfaction over the time. Self reported survey method was used to collect data form selected lecturers, associate professors, assistant professors and professors. Finally, sample of 100 participate in this activity in proportion to the percentage of each group in the population. Result of Study described that teacher satisfaction is not predicted by these set of HR practices so there are some other factor which effect satisfaction. Copyright © www.iiste.org Keywords: HR Practices, Satisfaction, University Teachers, Pakista

“Compete OR Leapfrog: Creating Blue Ocean through Entrepreneurial Orientation”

Abstract: The study analyzes the role of entrepreneurial orientation with mediating effect of knowledge creation process to creating Blue Ocean in corporate sector in Pakistan. Objectives/Value There is an increasing competition among companies due to globalization and technological advancements. Thus, it requires a study to measure the multifaceted influence of entrepreneurial orientation on knowledge creation process and Blue Ocean besides the actual paradigm of this terminology. Prior Work This concept has been well discussed in this research arena since its inception in 2005. Numerous such initiatives have already been taken, however this concept invites a lot more addition, related companies are still in pursuit to materialize the research concepts. Approach We highlight the contingencies in the shift from a red ocean to Blue Ocean. The study uses exploratory approach; primary data is collected from 391 professionals working in different sectors of Pakistan. The study uses structural equation model (SEM) technique to test the hypotheses. Results The study found a positive relationship between entrepreneurial orientation and Blue Ocean, entrepreneurial orientation, knowledge creation process, and Blue Ocean. Implications The study throws light on the importance of entrepreneurial orientation and knowledge creation process to head on this fast-paced competition.&nbsp

Awareness and Knowledge Regarding Cervical Cancer Screening and its Association with Demographic Characteristics

 Objective: To assess awareness and knowledge regarding cervical cancer screening, Pap smear screening, HPV infection, vaccine and their association with demographic characteristics. Methodology: This is a questionnaire based cross sectional study with a sample size of 100 female patients. This study was conducted in (OB/GYN OPD) in tertiary care setting of Military Hospital and Combined Military Hospital, Rawalpindi. Duration of study was 1 month April 2018. Results: Only 44.4% of patients had heard about cervical cancer. Awareness regarding PAP smear and HPV vaccination was present in around 20% patients. The results of the study revealed that higher socio-economic status (p=0.048) and education (p=0.03) was linked to more awareness regarding cervical cancer. Educational status had a linear relationship. Conclusion: The lack of knowledge to cervical cancer occurs in higher socio economic class also. There is a need of more education for increased awareness in all patients to enhance uptake of preventive strategie

Big Data Integration for Data-Centric AI

Big data integration represents one of the main challenges for the use of techniques and tools based on Artificial Intelligence (AI) in several crucial areas: eHealth, energy management, enterprise data, etc. In this context, Data-Centric AI plays a primary role in guaranteeing the quality of the data on which these tools and techniques operate. Thus, the activities of the Database Research Group (DBGroup) of the “Enzo Ferrari” Engineering Department of the University of Modena and Reggio Emilia are moving in this direction. Therefore, we present the main research projects of the DBGroup, which are part of collaborations in various application sectors

A strong construction of S-box using Mandelbrot set an image encryption scheme

The substitution box (S-box) plays a vital role in creating confusion during the encryption process of digital data. The quality of encryption schemes depends upon the S-box. There have been several attempts to enhance the quality of the S-box by using fractal chaotic mechanisms. However, there is still weakness in the robustness against cryptanalysis of fractal-based S-boxes. Due to their chaotic behavior, fractals are frequently employed to achieve randomness by confusion and diffusion process. A complex number-based S-box and a chaotic map diffusion are proposed to achieve high nonlinearity and low correlation. This study proposed a Mandelbrot set S-box construction based on the complex number and Chen chaotic map for resisting cryptanalytic attacks by creating diffusion in our proposed algorithm. The cryptosystem was built on the idea of substitution permutation networks (SPN). The complex nature of the proposed S-box makes it more random than other chaotic maps. The robustness of the proposed system was analyzed by different analysis properties of the S-box, such as nonlinearity, strict avalanche criterion, Bit independent criterion, and differential and linear probability. Moreover, to check the strength of the proposed S-box against differential and brute force attacks, we performed image encryption with the proposed S-box. The security analysis was performed, including statistical attack analysis and NIST analysis. The analysis results show that the proposed system achieves high-security standards than existing schemes

Marketing margins of selected stakeholders in the supply chain of dates in South Punjab, Pakistan

Date is one of the major cash fruits in Pakistan. Presently Pakistan stands at sixth position in dates producing countries. Date occupies third position after citrus and mango in terms of fruit area and production. The present study was conducted to explore the current margins of various stakeholders involved in the existing marketing system of dates in two leading districts of South Punjab district, as Dera Ghazi Khan and Muzaffar Garh. A sample of 40 farmers, 30 commission agents, 30 wholesalers, 30 retailers and 30 consumers was selected randomly. Pretested questionnaires were used to collect the data from selected respondents through personal interviews. Private sector is dominant in all major marketing activities. The market intermediaries in date marketing system involve commission agent, wholesaler and retailer. Different intermediaries were taking different margins according to form of dates and locality. In Dera Ghazi khan, commission agent was getting 13.55%, wholesaler 11.71% and retailer, 18.09% margins of marketing chain for fresh date and share of growers in consumer price was 56.09%. Commission agent was taking 14.13%, wholesaler, 10.67% and retailer 17.2%; margin of marketing chain for fresh date and share of growers in consumer price was 58% in Muzaffar Garh. The price of date is much high due to long chain of marketing system. In order to reduce the wholesale and retail prices, government should take measures to establish date marketing centers and supply chain management training programs for the date growers

Progressive Entity Resolution with Node Embeddings

Entity Resolution (ER) is the task of finding records that refer to the same real-world entity, which are called matches. ER is a fundamental pre-processing step when dealing with dirty and/or heterogeneous datasets; however, it can be very time-consuming when employing complex machine learning models to detect matches, as state-of-the-art ER methods do. Thus, when time is a critical component and having a partial ER result is better than having no result at all, progressive ER methods are employed to try to maximize the number of detected matches as a function of time. In this paper, we study how to perform progressive ER by exploiting graph embeddings. The basic idea is to represent candidate matches in a graph: each node is a record and each edge is a possible comparison to check—we build that on top of a well-known, established graph-based ER framework. We experimentally show that our method performs better than existing state-of-the-art progressive ER methods on real-world benchmark datasets