53 research outputs found
The Influence of Human Resource Management Practices on Employees Intention to Early Retirement: A Case Study of Ministry of Health, Kingdom of Bahrain
No full textAbstract: The aim of this paper is to examine the prior existence of push-pull factors that influence employees’ intention to early retirement and the influence of the new policy on these push-pull factors. Since the announcement of incentives for voluntary retirement, the issue has taken a serious level and caused unnecessary anxiety among current employees who otherwise have to take on extra burdens. A mixed approach is used to better understand this phenomenon. Opinion on the intention of early retirement of current employees is investigated through a survey and whether such opinion is supported among employees who have submitted for early retirement through interviews. The findings indicate a significant influence on HRM push factors and external pull factors on employees' intention to resign early. The external pull factor seems to override the HRM push factors. This observation is supported by those who have submitted for early retirement. This phenomenon seems to have been accelerated by the government monetary rewards policy introduced for employees to take on voluntary retirement. The findings indicate the importance of introducing targeted policy approaches rather than introducing a general policy to minimize negative implications on health employees in Bahrain.
Type of Paper: Exploratory
Keywords: Conceptual Frame, HRM Practices, Employee Intention, Early Retirement.
Title: The Influence of Human Resource Management Practices on Employees Intention to Early Retirement: A Case Study of Ministry of Health, Kingdom of Bahrain
Author: Sagaran Gopal, Muneer albahhar
International Journal of Recent Research in Social Sciences and Humanities (IJRRSSH)
ISSN 2349-7831
Vol. 9, Issue 3, July 2022 - September 2022
Page No: 119-135
Paper Publications
Website: www.paperpublications.org
Published Date: 09-September-2022
DOI: https://doi.org/10.5281/zenodo.7064491
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/The%20Influence%20of%20Human%20Resource-09092022-2.pdfInternational Journal of Recent Research in Social Sciences and Humanities (IJRRSSH), ISSN 2349-7831,Paper Publications, Website: www.paperpublications.or
Effects of salinomycin on cell-mediated immunity of broiler chickens against hydropericardium syndrome and Newcastle disease viruses
No full textMeasuring the quality of financial reports of banks listed on the Iraq Stock Exchange
No full textAbstract: The study aims to measure the level of quality of financial reports according to a set of characteristics related to the quality of profits. The study includes a sample of (13) Iraqi companies. These companies belong to an important group of different sectors represented by (banks, industry, insurance, agriculture, and tourism). The study dealt with the concept of measuring the quality of financial reports and the determinants and methods of measurement, according to a scientific theoretical framework based on a group of Arab and foreign scientific research. The study reached a set of conclusions, the most important of which is that the quality of financial reports is low in Iraqi companies. The reason is due to the high optional accruals, and that the continuity of profits is the most influential among the agents of the Iraqi companies. The quality of the financial reports. Enhance credibility and reliability.
Keywords: quality of reports, banks listed, measurement, quality measurement.
Title: Measuring the quality of financial reports of banks listed on the Iraq Stock Exchange
Author: Raghad Muneer Farhan, Ahmad Najah Hadi Jaber, Raad Abidmuslim Hraiga
International Journal of Recent Research in Commerce Economics and Management (IJRRCEM)
ISSN 2349-7807
Vol. 10, Issue 1, January 2023 - March 2023
Page No: 46-57
Paper Publications
Website: www.paperpublications.org
Published Date: 01-March-2023
DOI: https://doi.org/10.5281/zenodo.7688154
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/Measuring%20the%20quality%20of%20financial-01032023-4.pdfInternational Journal of Recent Research in Commerce Economics and Management (IJRRCEM), ISSN 2349-7807, Paper Publications, Website: www.paperpublications.or
Pharmacological activation of mesenchymal stem cells increases gene expression pattern of cell adhesion molecules and fusion with neonatal cardiomyocytes
No full textCellular therapy is considered a better option for the treatment of degenerative disorders. Different cell types are being used for tissue regeneration. Despite extensive research in this field, several issues remain to be addressed concerning cell transplantation. One of these issues is the survival and homing of administered cells in the injured tissue, which depends on the ability of these cells to adhere. To enhance cell adherence and survival, Rap1 GTPase was activated in mesenchymal stem cells (MSCs) as well as in cardiomyocytes (CMs) by using 8-pCPT-2\u27-O-Me-cAMP, and the effect on gene expression dynamics was determined through quantitative reverse transcriptase-polymerase chain reaction analysis. Pharmacological activation of MSCs and CMs resulted in the upregulation of connexin-43 and cell adhesion genes, which increased the cell adhesion ability of MSCs and CMs, and increased the fusion of MSCs with neonatal CMs. Treating stem cells with a pharmacological agent that activates Rap1a before transplantation can enhance their fusion with CMs and increase cellular regeneration
The Heart Defect Analysis Based on PCG Signals Using Pattern Recognition Techniques
No full textAbstractThe graphical recording of the heart sounds and murmurs is called Phonocardiogram or PCG and the machine is so called phonocardiograph. It has an important role in the proper and accurate diagnosis of the heart defects. It requires highly and experienced professionals to read the phonocardiogram, as usually with the stethoscope. The paper is about the implementation of a diagnostic system as a detector and classifier; for heart diseases. Various heart sound samples are classified using Support Vector Machine (SVM), K Nearest Neighbour (KNN), Bayesian and Gaussian Mixture Model (KNN) Classifiers. The output of the system is the classification of the sound as either normal or abnormal and if it is abnormal, what type of abnormality is present. In the proposed method, time domain and frequency domain features are extracted. Various frequency domain features such as energy, mean, variance and Mel Frequency Cepstral Coefficients (MFCC) are analysed
Testing Lotka’s Law and Pattern of Author Productivity in the Scholarly Publications of Artificial Intelligence
No full textArtificial intelligence has changed our day to day life in multitude ways. AI technology is rearing itself as a driving force to be reckoned with in the largest industries in the world. AI has already engulfed our educational system, our businesses and our financial establishments. The future is definite that machines with artificial intelligence will soon be captivating over trained manual work that now is mostly cared by humans. Machines can carry out human-like tasks by new inputs as artificial intelligence makes it possible for machines to learn from experience. AI data from web of science database from 2008 to 2017 have been mapped to depict the average growth rate, relative growth rate, contribution made by authors in the view of research productivity, authorship pattern and collaboration of AI literature. The Lotka’s law on authorship productivity of AI literature has been tested to confirm the applicability of the law to the present data set. A K-S test was applied to measure the degree of agreement between the distribution of the observed set of data against the inverse general power relationship and the theoretical value of α = 2. It is found that the inverse square law of Lotka follow as such
Systematic Review on Automated Testing (Types, Effort and ROI)
No full textSoftware organizations always want to build software by minimizing their resources to reduce overall cost and by maintaining high quality to produce reliable software. Software testing helps us to achieve these goals in this regard. Software testing can be manual or automated. Manual testing is a very expensive activity. It takes much time to write test cases and run them one by one. It can be error-prone due to much involvement of human throughout the process. Automated testing reduces the testing time which results in reduction of overall software cost as well as it provides other benefits i.e. early time to market, improved quality. Organizations are willing to invest in test automation. Before investment, they want to know the expected cost and benefits for AST. Effort is the main factor, which increase the cost of testing. In this thesis, a systematic review have been conducted which identifies and summarizes all the retrieved research concerning the automated testing types, effort estimation and return on investment (ROI) / cost-benefit analysis for automated testing. To conduct the systematic review, the author has developed a comprehensive plan which follows the procedure presented in [15]. This plan provides guidance to identify relevant research articles of a defined period. After the identification of research articles, it collects, evaluates and then interprets all the retrieved data about automated testing types, effort estimation and ROI. The results have been presented in statistical and descriptive form which provides different aspects of the data. The statistical results have been presented with the help of tables and graphs which show different aspects of data i.e. any gaps in research work of automated testing, number of articles for each testing type. The answers of the questions have been presented in descriptive form. The descriptive results show 22 automated testing types, 17 Industrial case studies out of 60 studies, benefits of automated testing and effort estimation models. The discussion part highlighted some important facts about the retrieved data and provides practical implications for conducting systematic reviews. Finally it is concluded that systematic reviews are good means of finding and analyzing research data about a topic, phenomena and area of interest. It also provides support to researchers for conducting and investigating more research.
Recent Advances of Deep Learning in Biology
No full textThe combined influence of new computational tools and techniques with an increase of massive data sets transforms many research fields and can lead to technological breakthroughs that billions of people can make use of it. The past few years have seen remarkable developments in machine learning and especially in deep learning (DL). Techniques developed within those two fields (DL and biology) can now analyze and learn in different formats from a large number of real-world examples. Even though there are a large number of deep learning algorithms, also implemented extensively and are increasing through frameworks and libraries. A large number of open-source applications from academia, business, start-ups, or wider open-source communities speeds up applications development in this area (DL and Biology). This chapter covers a summary of the new concepts and comparisons, as well as developments in deep learning and the use of the biological dataset. It also describes drug-treated and diseased cells capable of effectively scaling computations and efficiently in the era of cell biology. In this chapter, the author introduces deep learning and emerging biological developments, discussion of technology for specifically attraction of deep learning in the biology field. The chapter concludes considering deep learning and current attraction in biology, cell, images, and bioinformatics data set
Correction: Ali et al. Real-Time Recognition of NZ Sign Language Alphabets by Optimal Use of Machine Learning. Bioengineering 2025, 12, 1068
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