scholarly journals Decision making and performance of Malaysian rugby sevens referees

2015 ◽  
Vol 4 ◽  
Author(s):  
Mohamad Nizam
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Significant Relationship ◽  
Field Performance ◽  
Rugby Union ◽  
Future Research ◽  
Experience Level ◽  
Research Findings ◽  
And Performance ◽  
One Way Anova

<p>This study aims to examine the decision making by rugby sevens referees, and its relationship with the referees’ performance. The instruments used in this study are the Rugby Referee Decision Making Test (α=.74) and the Referee Sevens Field Performance Evaluation (α=.94). It was administered to 132 rugby sevens referees (mean age 33.4 + 1.5 years; 132 males) from the Malaysian Rugby Union (MRU), which have been refereeing in 10 rugby sevens tournaments in Malaysia. Descriptive and Inferential statistics (one way ANOVA and Pearson’s Correlation) were employed to analyse the data. Decision Making ( = 24.13, SD= 5.24) and performance ( = 136.45, SD = 4.47) were identified at a moderate level. The findings indicated no significant differences [F= (3, 128) =.246, p&gt;0.05] in the decision making across age level, but there were significant differences [F= (3, 128) =63.159, p&lt;0.05] across experience level. Highly experienced referees scored significantly higher in all decision making constructs compared to less experienced referees. The research findings have revealed a positive and significant relationship between decision making (r= .61, p&lt;.05) and referee performance. In conclusion, the decision making can help rugby sevens referees’ performance, and it is recommended that referees should increase<strong> </strong>the use of decision making in future<strong> </strong>training and assessment. Future research should investigate the effectiveness of decision making interventions in enhancing referees’ performance in the future.</p>

Impact and paybacks of biomedical research findings in Malaysia 2005–2015

2021 ◽  
Author(s):  
Pei Kuan Lai ◽  
S Nalliah ◽  
CL Teng ◽  
NLP Chen
Keyword(s):  
Decision Making ◽  
Health System ◽  
Capacity Building ◽  
Biomedical Research ◽  
Knowledge Production ◽  
Future Research ◽  
Relevant Research ◽  
Research Findings ◽  
The Impact ◽  
Health System Policy

Background: Impact in research encompasses health, economic, and cultural benefits beyond adding to the knowledge base. Funders are under immense pressure to be accountable for the paybacks from funded research.Aims and objectives: The aim of this study was to look into the impact of funded biomedical research between the years 2005 and 2015 in Malaysia from the aspects of knowledge production, research targeting and capacity building, as well as health system policy and decision making.Methods: This study employed a convergent parallel mixed-methods research design. Biomedical projects related to breast cancer, coronary heart disease, and dengue, funded by the Ministry of Health (MOH), Ministry of Higher Education (MOHE), and Ministry of Science, Technology, and Innovation (MOSTI) between the years 2005 and 2015, were included.Findings: From the questionnaire responses (n=58), on average each funded project managed to produce two outputs and one higher degree student. More than half (61.4%) of the funded projects led to subsequent future research. However, low citations in systematic reviews (10.3%), health policies (6.9%), and clinical practice guidelines (5.2%) were reported. In-depth interviews with the key opinion leaders also saw that most of the local research findings were found to be irrelevant to be adopted into policies by the policymakers.Discussion and conclusions: Paybacks on knowledge production as well as research targeting and capacity building had been achieved, but impact on health system policy and decision making had not been well attained, due to the lack of relevant research findings needed by the policymakers.<br />Key messages<br /><ul><li>Payback on knowledge production was achieved, as there had been a lot of new knowledge generated as captured in academic publications, conference proceedings, policy briefs, technical reports, and research highlights, which is important to advance the frontiers of knowledge.</li><br /><li>Payback on research targeting was achieved, with the current research leading to future study with identification of the knowledge gap and generation of new ideas for new research.</li><br /><li>Payback on capacity building was achieved with the training of researchers, building up research capacity and competencies, production of MSc and PhD graduates, promotion of lecturers, and development of new partnerships and networks.</li><br /><li>Impact on health system policy and decision making was not well attained. There had been a lack of relevant research data and findings being incorporated into policymaking, due to the basic and fundamental nature of most of the funded biomedical research in Malaysia.</li></ul>

scholarly journals Review on automated follicle identification for polycystic ovarian syndrome

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
A A Nazarudin ◽  
Noraishikin Zulkarnain ◽  
A. Hussain ◽  
S. S. Mokri ◽  
I. N. A. M. Nordin
Keyword(s):  
Performance Evaluation ◽  
Ultrasound Imaging ◽  
Polycystic Ovarian Syndrome ◽  
Speckle Noise ◽  
Future Research ◽  
Health Treatment ◽  
Time Consumption ◽  
Non Invasive ◽  
And Performance ◽  
Ovarian Syndrome

Polycystic Ovarian Syndrome (PCOS), is a condition of the ovary consisting numerous follicles. Accurate size and number of follicles detected are crucial for treatment. Hence the diagnosis of this condition is by measuring and calculating the size and number of follicles existed in the ovary. For diagnosis, ultrasound imaging has become an effective tool as it is non-invasive, inexpensive and portable. However, the presence of speckle noise in ultrasound imaging has caused an obstruction for manual diagnosis which are high time consumption and often produce errors. Thus, image segmentation for ultrasound imaging is critical to identify follicles for PCOS diagnosis and proper health treatment. This paper presents different methods proposed and applied in automated follicle identification for PCOS diagnosis by previous researchers. In this paper, the methods and performance evaluation are identified and compared. Finally, this paper also provided suggestions in developing methods for future research.

Validity of Selection Tests: A Study

1980 ◽  
Vol 5 (4) ◽  
pp. 267-274
Author(s):  
Mirza S. Saiyadain
Keyword(s):  
Performance Evaluation ◽  
Performance Appraisal ◽  
Performance Measures ◽  
Significant Relationship ◽  
Test Scores ◽  
Performance Measure ◽  
First Year ◽  
Subsequent Performance ◽  
Evaluation Scores ◽  
And Performance

Several reasons have been offered for the depressed values of coefficients of correlation between performance evaluation scores and test scores for tests that otherwise seem to have high validity. Most of these studies have concerned themselves with only the first year performance measure. This study was undertaken to broadbase the validity design by including performance measures of three subsequent years. Data on the test and performance scores of a sample of executives were analysed. The results indicate that though test scores may not show significant relationship with the first year performance appraisal score, they show positive and significant relationship with subsequent performance appraisal scores. The results are explained in terms of changed performance evaluation.

scholarly journals Design and Implementation of Pay for Performance

2013 ◽  
pp. 396-423 ◽  
Author(s):  
Michael Gibbs
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Performance Measures ◽  
Pay For Performance ◽  
Employee Selection ◽  
Job Design ◽  
Future Research ◽  
Practical Implementation ◽  
Design And Implementation ◽  
Subjective Performance Evaluation

A large, mature and robust economics literature now provides a useful framework for understanding incentives. This chapter uses the lessons of that literature to discuss how to design and implement pay for performance in practice. A unified treatment of properties of numeric performance measures is provided, including how performance measures relate to employee knowledge and decision making. Subjective performance evaluation, and the tie of evaluations to rewards, are analyzed. Practical implementation issues, such as matching of pay for performance to job design, motivating creativity, and links between incentives and employee selection, are considered. The chapter concludes with suggested directions for future research.

Structure, mechanism, and performance evaluation of natural gas hydrate kinetic inhibitors

2018 ◽  
Vol 38 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Sheida Shahnazar ◽  
Samira Bagheri ◽  
Amin TermehYousefi ◽  
Javad Mehrmashhadi ◽  
Mohd Sayuti Abd Karim ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Gas Hydrates ◽  
Oil And Gas ◽  
Future Research ◽  
Water Molecules ◽  
Natural Gas Hydrate ◽  
The Past ◽  
Thermodynamic Conditions ◽  
Gas Molecules ◽  
And Performance

AbstractIce-like crystal compounds, which are formed in low-temperature and high-pressure thermodynamic conditions and composed of a combination of water molecules and guest gas molecules, are called gas hydrates. Since its discovery and recognition as the responsible component for blockage of oil and gas transformation line, hydrate has been under extensive review by scientists. In particular, the inhibition techniques of hydrate crystals have been updated in order to reach the more economically and practically feasible methods. So far, kinetic hydrate inhibition has been considered as one of the most effective techniques over the past decade. This review is intended to classify the recent studies regarding kinetic hydrate inhibitors, their structure, mechanism, and techniques for their performance evaluation. In addition, this communication further analyzes the areas that are more in demand to be considered in future research.

scholarly journals How Teacher Characteristics Relate to How Teachers Use Dashboards: Results From Two Case Studies in K-12

2021 ◽  
Vol 8 (2) ◽  
pp. 6-21
Author(s):  
Anouschka van Leeuwen ◽  
Carolien A. N. Knoop-van Campen ◽  
Inge Molenaar ◽  
Nikol Rummel
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Teacher Characteristics ◽  
Specific Form ◽  
Future Research ◽  
Teacher Decision Making ◽  
And Performance ◽  
K 12 ◽  
Initial Framework

Teacher dashboards are a specific form of analytics in which visual displays provide teachers with information about their students; for example, concerning student progress and performance on tasks during lessons or lectures. In the present paper, we focus on the role of teacher dashboards in the context of teacher decision-making in K–12 education. There is large variation in teacher dashboard use in the classroom, which could be explained by teacher characteristics. Therefore, we investigate the role of teacher characteristics — such as experience, age, gender, and self-efficacy — in how teachers use dashboards. More specifically, we present two case studies to understand how diversity in teacher dashboard use is related to teacher characteristics. Surprisingly, in both case studies, teacher characteristics were not associated with dashboard use. Based on our findings, we propose an initial framework to understand what contributes to diversity of dashboard use. This framework might support future research to attribute diversity in dashboard use. This paper should be seen as a first step in examining the role of teacher characteristics in dashboard use in K–12 education.

scholarly journals Organizational culture, strategic planning and performance: empirical evidence from organizations in Malaysia

2018 ◽  
Vol 7 (2.10) ◽  
pp. 62
Author(s):  
Sarminah Samad
Keyword(s):  
Organizational Culture ◽  
Strategic Planning ◽  
Organizational Performance ◽  
Future Research ◽  
Government Organizations ◽  
Positive Effects ◽  
Research Findings ◽  
Future Research Directions ◽  
And Performance ◽  
The Relationship

This study examined the influence of strategic planning on organizational performance of selected government organizations in Malaysia. Consequently, it determined the moderating effect of organizational culture on the relationship between strategic planning and organizational performance. A quantitative study was carried out on a sample of 291 officers in Malaysian government organizations. The obtained data based on self-administered questionnaires was analyzed using SmartPartial Least Squares (PLS). The study revealed that strategic planning dimensions have positive effects on performance of government organizations. The results found that organizational culture has significantly moderated the relationship between strategic planning and performance. The implications from the research findings, limitation of study and future research directions are discussed. 

The Aviation Operational Environment

2011 ◽  
pp. 241-282 ◽  
Author(s):  
Ronald John Lofaro ◽  
Kevin M. Smith
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Automated System ◽  
Use Value ◽  
Flight Crew ◽  
Operational Environment ◽  
Decision Performance ◽  
Flight Simulators ◽  
And Performance

This chapter will focus on the role of pilot/flightcrew training and performance evaluation in the identification and management of risk, especially while aloft and in changing conditions. The chapter will integrate different- but we posit interrelated, topic areas: First, a decision-making paradigm for flight crew’s use in the operational environment. Second, training and performance evaluation in flight simulators (FS), as well as the design and development of FS scenarios to test decision performance. Third, Relevant Federal Aviation regulations (FAR’s) and approved programs in current pilot/flightcrew training. Fourth, accident investigations; the role and use-value of accident investigation data in flying safety. Finally, the authors will present recommendations for the next steps in the development and use of new and emerging technologies for maximum pilot/flight crew decision performance and safety. This will be done via a collaborative ground-air, automated system and is what we propose to achieve our goal, increasing safety of flight.

Multiple Attributes Decision Making Algorithms for Vertical Handover in Heterogeneous Wireless Networks

2011 ◽  
pp. 52-71 ◽  
Author(s):  
Enrique Stevens-Navarro ◽  
José D. Martínez-Morales ◽  
Ulises Pineda-Rico
Keyword(s):  
Decision Making ◽  
Heterogeneous Wireless Networks ◽  
Heterogeneous Systems ◽  
Vertical Handover ◽  
Multiple Attribute Decision Making ◽  
Access Networks ◽  
Future Research ◽  
Wimax Networks ◽  
Heterogeneous Wireless Systems ◽  
And Performance

The envisioned heterogeneous wireless systems are expected to integrate multiple access networks over a common IP platform. In such systems, since mobile users expect to achieve the Always Best Connected (ABC) experience, heterogeneous systems have to support the vertical handover of users among different access networks. On the other hand, the field of Multiple Attribute Decision Making (MADM) has proved to be a suitable tool to study the vertical handover process. This chapter presents a survey of MADM algorithms that have been proposed for vertical handover. First, the authors describe the procedures of methods such as SAW, MEW, TOPSIS, ELECTRE, and VIKOR. Then, the chapter compares them by mean of simulations and performance analysis for an heterogeneous system integrated by WLAN, UMTS, and WiMAX networks, when users conduct different applications. The chapter concludes with a summary of open issues and future research directions in the area of vertical handover.

scholarly journals Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 43 ◽  
Author(s):  
Naveed Ilyas ◽  
Ahsan Shahzad ◽  
Kiseon Kim
Keyword(s):  
Neural Network ◽  
Performance Evaluation ◽  
Convolutional Neural Network ◽  
Smart Cities ◽  
Future Research ◽  
Crowd Counting ◽  
Crowd Management ◽  
Adaptive Monitoring ◽  
Potential Applications ◽  
And Performance

Traditional handcrafted crowd-counting techniques in an image are currently transformed via machine-learning and artificial-intelligence techniques into intelligent crowd-counting techniques. This paradigm shift offers many advanced features in terms of adaptive monitoring and the control of dynamic crowd gatherings. Adaptive monitoring, identification/recognition, and the management of diverse crowd gatherings can improve many crowd-management-related tasks in terms of efficiency, capacity, reliability, and safety. Despite many challenges, such as occlusion, clutter, and irregular object distribution and nonuniform object scale, convolutional neural networks are a promising technology for intelligent image crowd counting and analysis. In this article, we review, categorize, analyze (limitations and distinctive features), and provide a detailed performance evaluation of the latest convolutional-neural-network-based crowd-counting techniques. We also highlight the potential applications of convolutional-neural-network-based crowd-counting techniques. Finally, we conclude this article by presenting our key observations, providing strong foundation for future research directions while designing convolutional-neural-network-based crowd-counting techniques. Further, the article discusses new advancements toward understanding crowd counting in smart cities using the Internet of Things (IoT).

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