The relationship between self-construal, job satisfaction and organizational commitment

This study aimed to investigate the relationship between self-construal, job satisfaction and organizational commitment among young working adults in Malaysia. The objective of the study was to examine the significance of job satisfaction and organizational commitment based on participant's self-construal. Data was collected via online survey from 420 young working adults in Malaysia aged between 21 to 30 years (M=26.30 years). Descriptive statistics and Pearson 's correlation analyses were used in the data analysis. Pearson 's correlations showed that self-construal was significantly positive correlated with job satisfaction and job satisfaction was significantly associated with all three organizational commitment constructs, namely affective commitment, continuance commitment and normative commitment. Particularly, job satisfaction was positively correlated with affective commitment and normative commitment but negatively correlated with continuance commitment. The results indicated that self-perception has significant influence on young working adults' attitudes on job and organizations that they work with as a whole

Relationships between self-construal, social comparison and job satisfaction with organizational commitment among young working adults in Malaysia

Organizational commitment among young working adults has significant influence on the high employee turnover rate. Recent research found that Malaysian employees showed highest turnover rate among seven countries being surveyed. In addition,loyalty towards the organization also found decreased among young working adults.The purpose of this study aimed to examine the relationships between self-construal,social comparison, job satisfaction and organizational commitment among young working adults in Malaysia. The present study also determined the mediating effect of job satisfaction on the relationships between self-construal with organizational commitment and between social comparison with organizational commitment. A total of 420 young working adults in Malaysia aged between 21 to 30 years (M=26.30 years, SD=1.82) participated in the present study with 96.7% response rate. All data were collected using self-administered questionnaires via online survey. The revised version of Organizational Commitment Questionnaire (OCQ), Job Satisfaction Survey (JSS), Self-Construal Scale (SCS) and Social Comparison Scale were used to assess young working adults’ perception on each variable. SPSS software was used for analysis the data. Descriptive statistics, Pearson’s correlation and regression analysis were also used in this study. Results showed that there were more young working adults who claimed themselves as interdependent self (n=196) than independent self (n=188). In addition, findings from Pearson’s correlation analyses showed that self-construal (r = .29,p<.001), social comparison (r = .52, p<.001) and job satisfaction (r = .40, p<.001) were significantly positive correlated with organizational commitment. The findings also indicated that self-construal, social comparison and job satisfaction were significantly associated with all three organizational commitment constructs, namely affective commitment, continuance commitment and normative commitment. Hence, regression analyses were performed when all variables showed significant relationships. On the other hand, two series of regression equations were performed to assess the mediating effect of job satisfaction between self-construal and social comparison on organizational commitment. The findings showed that there was a significant partial mediation on the influence of self-construal on organizational commitment through job satisfaction. Also,there was a significant partial mediation on influence of social comparison on organizational commitment through job satisfaction. Therefore, job satisfaction considered as an important factor which may enhance organizational commitment level of young working adults in Malaysia. Theoretically, the present findings underlined the role of self-perceptions in influencing the attitudes on job and organizations that they worked with among young working adults as a whole. Practically, the findings implied that organizations should take into account young working adult’s perspectives on their current job in order to create committed workforce

In vitro cytotoxic and antiproliferative effects of portulaca oleracea methanol extract on breast, cervical, colon and nasopharyngeal cancerous cell lines

Portulaca oleracea is a ubiquitous garden weed that has been traditionally used as antidiabetic and anti-inflammation agent. However, the potential anti-proliferative and cytotoxic effects of Portulaca oleracea towards cancerous cells are still unclear. Human hormone dependent breast cancer MCF-7 cell, colon cancer HT-29, cervical cancer Hela cell and nasopharyngeal cancer CNE-1 cell were used in this study. P. oleracea was extracted using methanol and the cytotoxicity against various cancerous cell lines was evaluated using 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide solution (MTT) assay. The antiproliferation effect and cell cycle arrest were assessed using BrdU proliferation assay and flow cytometry cell cycle RNase/PI analysis, respectively. Portulaca oleracea methanol extract was able to reduce viability of all the tested cancerous cell lines. However, IC50 was only observed in CNE-1 cell (92 μg/mL). BrdU incorporation assay indicated anti-proliferation of Portulaca oleracea treated MCF-7 cells in a dose-dependent manner. A significant increase in the sub G0/G1cell population phase observed by cell cycle analysis indicates the occurrence of apoptotic events. In conclusion, Portulaca oleracea showed anti-proliferative effect on CNE-1, HeLa and HT-29 and DNA fragmentation on MCF-7 cells

Real-time Machine Health Monitoring System using Machine Learning with IoT Technology

Machine health monitoring is the main focal point for now as many industries are evolving to industry 4.0. Industry 4.0 is the revolution in industrial that involve the Internet of Things (IoT) and artificial intelligence toward automation and data sharing for production efficiency improvement. The existing established methods for machine health monitoring were not in real-time and there was no real-time correction of data from the load and processing of data on the computer. In tracking machine health efficiency this approach wasn’t very successful. Real-time machine health monitoring can improve overall equipment effectiveness (OEE), reduce electricity consumption, minimize unplanned downtime, and extend machine lifetime. In this research paper, we propose to design a real-time machine health monitoring system using machine learning with IoT technology that can analyze the supply balancing condition on a 3-phase system. This system is built with compact physical hardware and can capture the electrical data from the load then send it to the server. The server will progress data and train the data using machine learning. The system was installed on a blender machine in a factory. In this research, a system which is able to monitor the machine operation and classify the operation stages of the machine was developed. Besides that, the system also capable to monitor the load balancing condition of the machine

Development of a microRNA Panel for Classification of Abnormal Mammograms for Breast Cancer

10.3390/cancers13092130CANCERS13

Association between Breast Cancer Polygenic Risk Score and Chemotherapy-Induced Febrile Neutropenia: Null Results

10.3390/cancers14112714CANCERS141

Cohort profile: The Singapore Breast Cancer Cohort (SGBCC), a multi-center breast cancer cohort for evaluation of phenotypic risk factors and genetic markers

10.1371/journal.pone.0250102PLOS ONE16