Emotional Intelligence Level of Year One and Two Medical Students of University Malaysia Sarawak: Association With Demographic Data

Emotional intelligence is the ability to monitor one’s own and other’s emotions, to discriminate among them, and to guide one’s thinking and actions. It is very important to assess as it helps to reason out our emotional responses. The objective of this study is to assess the emotional intelligence level of Year one and two medical students of UNIMAS. Majority has strength in all the domains except managing emotions domain where 51.5% need attention. No respondent fall into the development priority competency. There were no significant difference among all the domains between two groups but Year 1 students need more attention in managing emotions domain compared to Year 2 students. There was no significant association between demographic characteristics – age, residency, qualification and ethnicity – but there was a significant association (p value of 0.038) in male with empathy domain. Further study should be done on groups spanning from Year 1 to Year 5 as they have a greater difference in age as well as exposure to clinical practice which may have a significant impact on their emotional intelligence

Documents Clustering using Partitional Clustering Methods

Document clustering is text processing that groups documents with similar concept. Clustering is defined as a process of partitioning a set of objects (patterns) into a set disjoined group (clusters). Its goal is to reduce the amount of data by categorizing or grouping similar data items together and obtain useful information. Clustering methods can be divided into two basic types: hierarchical and partitional clustering. This system used two partitional clustering methods. They are Self-Organizing Map (SOM) and K-Means. Self-Organization Maps is an artificial neural network model that is well suited for mapping high dimensional data into a two-dimensional representation space. SOM clustering is one of the well-known unsupervised clustering techniques. The goal of K-Means is to find k points of a dataset that can best represent the dataset in a certain mathematical sense (to be detailed later). These k points are also known as cluster centers, prototypes, centroids, or code words, and so on. The most known class of partitioned clustering algorithms is the K-Means algorithm and its variants. In this paper, documents are clustered by SOM algorithm how these are related to each other and K-Means start by randomly selecting k point cluster means; then assigns each document to its nearest cluster mean

A study on the relationship between organizational commitment and job satisfaction among staff of some Universities in Mandalay

The purpose of the present study was to examine the relationship between organizational commitment and job satisfaction among staff of some Universities in Mandalay. In order to do so, firstly we constructed Myanmar version of the Organizational Commitment and Job Satisfaction Scale based on the original scale of Organizational Commitment Scale by Allen and Meyer (1990) and General Satisfaction Scale by Taylor and Bowers (1972). To examine the relationship between organizational commitment and job satisfaction, a sample of 200 (35 males and 165 females) University staffs from Mandalay was studied by using this test. In order to find out the correlation between organizational commitment and job satisfaction, Pearson’s Product Moment method and regression analysis was used. According to the results of Pearson’s Product Moment method, we found that affective, continuance and normative organizational commitment was positively correlated with job satisfaction. According to the results of regression analysis, affective, continuance and normative organizational commitment was significant relationship with job satisfaction. In order to examine the relationship between job satisfaction and demographic variables, t-test analysis and ANOVA analysis was used. According to the results of t-test analysis, male and female were significantly difference in job satisfaction. Similarly, single and married were significantly difference in job satisfaction. According to ANOVA analysis, education and length of service were significant related with job satisfaction. But age and income were not significant related with job satisfaction

There and back again: Reclaiming and reconstructing the idea of home in the novels of Kazuo Ishiguro and Ruth Ozeki

Bachelor'sBachelor of Arts (Honours

Simulation System for Performance Analysis of Scheduling Algorithm with Uniprocessor

Multiprogramming is used to improve the efficiency of the micro-processor. That is when the currently running process is blocked due to waiting for an I/O event, another process may be scheduled to run. At this moment, the issue of scheduling is involved, deciding which process should be executed by the processor, because usually more than one process may be ready for being scheduled.This paper presents performance analysis for different scheduling algorithms for multi-programming in uniprocessor environment Performance analysis is based on average turn-around time, average waiting time and average ratio or turn-around time to service time. Performance analysis shows that RR requires more waiting time and therefore , increase more turn-around time and turn- around to service time ratio. On the other hand,Short Process Next (SPN),Shortest Remaining Time (SRT) and Highest Response Ratio Next (HRRN) algorithms perform the best

Clinical and molecular surveillance of artemisinin resistant falciparum malaria in Myanmar (2009–2013)

Abstract Background Emergence of artemisinin-resistant malaria in Southeast Asian countries threatens the global control of malaria. Although K13 kelch propeller has been assessed for artemisinin resistance molecular marker, most of the mutations need to be validated. In this study, artemisinin resistance was assessed by clinical and molecular analysis, including k13 and recently reported markers, pfarps10, pffd and pfmdr2. Methods A prospective cohort study in 1160 uncomplicated falciparum patients was conducted after treatment with artemisinin-based combination therapy (ACT), in 6 sentinel sites in Myanmar from 2009 to 2013. Therapeutic efficacy of ACT was assessed by longitudinal follow ups. Molecular markers analysis was done on all available day 0 samples. Results True recrudescence treatment failures cases and day 3 parasite positivity were detected at only the southern Myanmar sites. Day 3 positive and k13 mutants with higher prevalence of underlying genetic foci predisposing to become k13 mutant were detected only in southern Myanmar since 2009 and comparatively fewer mutations of pfarps10, pffd, and pfmdr2 were observed in western Myanmar. K13 mutations, V127M of pfarps10, D193Y of pffd, and T448I of pfmdr2 were significantly associated with day 3 positivity (OR: 6.48, 3.88, 2.88, and 2.52, respectively). Conclusions Apart from k13, pfarps10, pffd and pfmdr2 are also useful for molecular surveillance of artemisinin resistance especially where k13 mutation has not been reported. Appropriate action to eliminate the resistant parasites and surveillance on artemisinin resistance should be strengthened in Myanmar. Trial registration This study was registered with ClinicalTrials.gov, identifier NCT02792816