Displaying publications 1 - 20 of 446 in total

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  1. Tan, S.L., Belaton, B., Rajion, Z.A., Samsudin, A.R.
    MyJurnal
    We present an algorithm to reduce the number of slices from 2D contour cross sections. The main aim of the algorithm is to filter less significant slices while preserving an acceptable level of output quality and keeping the computational cost to reconstruct surface(s) at a minimal level. This research is motivated mainly by two factors; first 2D cross sections data is often huge in size and high in precisions – the computational cost to reconstruct surface(s) from them is closely related to the size and complexity of this data. Second, we can trades visual fidelity with speed of computations if we can remove visually insignificant data from the original dataset which may contains redundant information. In our algorithm we use the number of contour points on a pair of slices to calculate the distance between them. Selection to retain/reject a slice is based on the value of distance compared against a threshold value. Optimal threshold value is derived to produce set of slices that collectively represent the feature of the dataset. We tested our algorithm over six different set of data, varying in complexities and sizes. The results show slice reduction rate depends on the complexity of the dataset, where highest reduction percentage is achieved for objects with lots of constant local variations. Our derived optimal thresholds seem to be able to produce the right set of slices with the potential of creating surface(s) that traded off the accuracy and speed requirements.
    Matched MeSH terms: Motivation
  2. Chiu LH
    Int Nurs Rev, 2005 Mar;52(1):46-51.
    PMID: 15725276
    To present several key factors that motivated Malaysian registered nurses to undertake a post-registration degree through an Australian university. The overall research study, from which this paper is drawn, looked at the professional learning of Malaysian registered nurses and the subsequent impact on their careers.
    Matched MeSH terms: Motivation*
  3. Jie Z, Roslan S, Muhamad MM, Md Khambari MN, Zaremohzzabieh Z
    Int J Environ Res Public Health, 2022 Oct 15;19(20).
    PMID: 36293911 DOI: 10.3390/ijerph192013323
    (1) Background: The influence of academic boredom and intrinsic motivation on students' learning and achievements is receiving more attention from scholars. Nevertheless, studies on how intervention decreases academic boredom and promotes intrinsic motivation during study remain unexplored. (2) Purpose: The purpose of this study is to investigate whether positive education intervention based on the PERMA model would help Chinese college students with learning-related academic boredom, class-related academic boredom, and intrinsic motivation. (3) Methods: This study is quasi-experimental research with a control group including pre-test and post-test. The study was conducted with 173 students, including 86 (n1 = 86) experimental and 87 (n2 = 87) control group students. (4) Results: Results revealed that students in the intervention condition reported significant reductions in learning-related academic boredom and class-related academic boredom, and significant increases in intrinsic motivation in comparison to their counterparts in the control group. (5) Conclusions: These findings indicate that positive education intervention for college students is a promising approach to reducing academic boredom and increasing intrinsic motivation among Chinese college students.
    Matched MeSH terms: Motivation*
  4. Wang S, Ibrahiem MH, Li M
    Int J Environ Res Public Health, 2022 Dec 18;19(24).
    PMID: 36554915 DOI: 10.3390/ijerph192417034
    As one of the largest payment platforms in China, Alipay, launched a green behavior project called Ant Forest. The purpose of taking this initiative by Alipay is to make the world greener. This mobile application has motivated many users to plant millions of trees. However, minimal studies have been conducted to empirically disclose the factors that motivate Alipay users to participate in Ant Forest. A mixed-method approach is used to examine the factors influencing Alipay users to participate in Ant Forest and the level of satisfaction they got from it. The qualitative method was carried out through a structured questionnaire from 400 Alipay users and qualitative data from 20 users who have applied to Ant Forest and successfully planted trees. Additionally, alongside the mixed method employed to rationalize the relationship highlighted, a multiple regression model was employed to predict the value of a dependent variable (level of satisfaction) based on the value of several independent variables (namely, number of years engaged with Ant Forest activities, age, gender, profession, and education). The empirical results show that intrinsic motivations (enjoyment, social interaction, fulfilment, altruism) and extrinsic motivations (external rewards, competition) influence Alipay users to participate in the Ant Forest project. Further insights are presented in the concluding section for all stakeholders for environmental sustainability among the users of Alipay.
    Matched MeSH terms: Motivation*
  5. Xu X, Rogers RA
    PLoS One, 2023;18(3):e0275625.
    PMID: 36893159 DOI: 10.1371/journal.pone.0275625
    After the cold war, some countries gradually seek to regional cooperation when they could not handle various transnational challenges alone. Shanghai Cooperation Organization (SCO) is a good example. It brought Central Asian countries together. This paper applies the text-mining method, using co-word analysis, co-occurrence matrix, cluster analysis, and strategic diagram to analyze the selected articles from newspapers quantitatively and visually. In order to investigate the Chinese government's attitude toward the SCO, this study collected data from the China Core Newspaper Full-text Database, which contains high-impact government newspapers revealing the Chinese government's perception of the SCO. This study characterizes the changing role of SCO as perceived by the Chinese government from 2001 to 2019. Beijing's changing expectations in each of the three identified subperiods are described.
    Matched MeSH terms: Motivation*
  6. Tan C, Yi L, Haider A, Kwen L, Mamnoon R, Li K, et al.
    J Environ Public Health, 2022;2022:1663120.
    PMID: 36060872 DOI: 10.1155/2022/1663120
    Teachers' management effectiveness can reflect the comprehensive ability and effective evaluation of the teaching management objectives of the school and can also reflect the effectiveness management of the school to a certain extent. In the environment of sustainable and innovative development, the rapid development of education has made improving the management efficiency and motivation of university teachers became the key direction of university management. In order to study the impact of teachers' management efficacy and motivation on college students' academic achievement and postemployment social responsibility cognition under sustainable innovation, this study compares the impact of teachers in different periods on students and analyzes the changes of teachers in different periods on students. Finally, it is concluded that teachers' management efficiency and motivation under sustainable innovation can promote students' employment achievement and social responsibility cognition, improve the teaching quality of colleges and universities, and provide high-quality talents for the country. The educational concept of sustainable innovation is conducive to improving teachers' independent innovation and realizing the educational function of cultivating students' personalized development in colleges and universities.
    Matched MeSH terms: Motivation*
  7. Yusoff N, Alias M, Ismail N
    F1000Res, 2023;12:1286.
    PMID: 38196406 DOI: 10.12688/f1000research.140765.1
    Background: Green purchasing is an important aspect of sustainable consumption, which decreases society's environmental effect. Although numerous research has been conducted to investigate the determinants of green buying behaviour, there has been a lack of effort in comprehensively analysing these findings. The purpose of this study is to examine the available literature on the factors that influence green purchasing behaviour. Methods: The review focused on empirical research published in peer-reviewed English-language publications between 2017 and 2021 in Web of Science and Scopus. The research took place from May to June 2021. Mixed Methods Appraisal Tool (MMAT) is used to assess the risk of bias in systematic literature reviews. Results: 41 articles were included, with significant focus on the retailing sector. Most of these studies were centred in Asian countries, primarily China and India. The Theory of Planned Behaviour was the most prominent, appearing 15 times, followed by the Theory of Reasoned Action (seven times). Analysis identified five main themes and 15 sub-themes related to green purchase behaviour drivers. These themes were categorized by occurrence: People (34 papers), marketing (13), knowledge (12), environment (12), and influence (nine). The dominant driver was people (34 studies), encompassing sub-themes including motivation (three), perception (eight), behavioural (13), and psychographic characteristics (10). Conclusions: This study has given an overview of the present status of green purchasing behaviour, which serves as a foundation for future studies and guidance for policymakers and practitioners. However, it does not include unpublished materials and non-English papers. Secondly, it focuses on articles from two databases within the last five years which doesn't encompass all article types, prompting the need for future exploration. Thirdly, extending the review's time frame could unveil more pronounced GPB patterns. Lastly, although all eligible papers were assessed based on criteria, the chance of overlooking some papers is acknowledged.
    Matched MeSH terms: Motivation*
  8. Ali QM, Nisar QA, Abidin RZU, Qammar R, Abbass K
    Environ Sci Pollut Res Int, 2023 Dec;30(60):124474-124487.
    PMID: 35349063 DOI: 10.1007/s11356-022-19888-3
    The research aims to examine the role of green human resource management (GHRM) in the university's environmental performance. Furthermore, this research also focuses on the mediating effect of green commitment and pro-environmental behavior. It also aims to check how green self-efficacy moderates the relationship between green commitment and pro-environmental behavior. The paper opted for a quantitative design using the convenience sampling technique/approach by collecting the data through a structured questionnaire on 208 academic staff currently employed in the university. The data were collected from August until December 2021 on two campuses (Gujranwala, Jhelum) of the University of Punjab in Pakistan. The current study results give empirical insights that show how green human resource management practices lead to environmental performance at a greater level in a university setting. Study results proposed that change in behavior of employees through human resource management practices can ultimately affect the organization's environmental performance. Further results also demonstrate that green self-efficacy moderates the relationship between green commitment and pro-environmental behavior. This study highlights the role of the university staff's level of commitment and self-efficacy, which are beneficial for enhancing the university's environmental performance. The originality of this study fills the gap in how green commitment mediates the relationship of green human resource management and environmental performance further; it fulfills the gap of green self-efficacy that moderates the relationship of pro-environmental behavior and green commitment. The study sheds light on green human resource management practices in the higher education sector. It emphasizes the vital role of academic staff's environmentally conscious behavior in enhancing a university's environmental performance. The further study highlighted the increasing concept of green human resource management as a set of building the ability, enhancing motivation, and providing opportunities to influence workers' pro-environmental behaviors. The conclusion of the current research was capable of validating the positive concerns of green GHRM, behaviors, and commitments for environmental performance.
    Matched MeSH terms: Motivation*
  9. Tao Y, Yu J
    BMC Psychol, 2024 Feb 16;12(1):80.
    PMID: 38365708 DOI: 10.1186/s40359-024-01572-5
    BACKGROUND: The study explores language acquisition in Chinese English as a Foreign Language (EFL) education, where English proficiency is crucial for global opportunities. As China gains prominence, the demand for English skills rises beyond communication to include academic and business success. The Chinese education system emphasizes proficient English writing for further education and professional achievement. This research investigates the complex linguistic context for EFL learners in China, analyzing the intersection of psychological factors, cultural nuances, varied pedagogy, and individual experiences.

    METHODS: Structural Equation Modeling (SEM) is utilized for analysis, enabling the creation of a metric set to explore intangibles such as perfectionism, learning self-efficacy, motivation, study habits, cultural influences, and introspection. The research utilizes a diverse sample from multiple universities across different regions of China, incorporating demographic factors to encompass the varied characteristics within the EFL learner community.

    RESULTS: Results reveal that perfectionism (β = 0.30, p 

    Matched MeSH terms: Motivation*
  10. Hannah Nadiah Abdul Razak, Mohd. Azdi Maasar, Nur Hafidzah Hafidzuddin, Ernie Syufina Chun Lee
    MyJurnal
    The aim of this research is to apply the variance and conditional value at risk (CVaR) as risk measures in portfolio selection problem. Consequently, we are motivated to compare the behavior of two different type of risk measures (variance and CVaR) when the expected returns of a portfolio vary from a low return to a higher return. To obtain an optimum portfolio of the assets, we minimize the risks using mean variance and mean CVaR models. Dataset with stocks for FBMKLCI is used to generate our scenario returns. Both models and dataset are coded and implemented in AMPL software. We compared the performance of both optimized portfolios constructed from the models in term of risk measure and realized returns. The optimal portfolios are evaluated across three different target returns that represent the low risk low returns, medium risk medium returns and high risk high returns portfolios. Numerical results show that the composition of portfolios for mean variance are generally more diversified compared to mean CVaR portfolios. The in sample results show that the seven optimal mean CVaR0:05 portfolios have lower CVaR0:05 values as compared to their optimal mean variance counterparts. Consequently, the standard deviation for mean variance optimal portfolios are lower than the standard deviation of its mean CVaR0:05 counterparts. For the out of sample analysis, we can conclude that mean variance portfolio only minimizes standard deviation at low target return. While, mean CVaR portfolios are favorable in minimizing risks at high target return.
    Matched MeSH terms: Motivation
  11. Gurbinder Kaur, J.S., Hamidah, H., Blackman, I., Belan, I.
    Medicine & Health, 2011;6(2):86-97.
    MyJurnal
    Stress has a negative effect on student nurses well-being and can impede learning or motivate them and is conducive to learning. This study examined the perceived stress and factors that influenced daily students’ life among both the Diploma and Bachelor of Nursing students. A total of 241 nursing students were involved in this research project. Findings of this study indicated that junior nursing students (
    Matched MeSH terms: Motivation
  12. Choong Boon Ng, Wah June Leong, Mansor Monsi
    MyJurnal
    The nonlinear conjugate gradient (CG) methods have widely been used in solving unconstrained optimization problems. They are well-suited for large-scale optimization problems due to their low memory requirements and least computational costs. In this paper, a new diagonal preconditioned conjugate gradient (PRECG) algorithm is designed, and this is motivated by the fact that a pre-conditioner can greatly enhance the performance of the CG method. Under mild conditions, it is shown that the algorithm is globally convergent for strongly convex functions. Numerical results are presented to show that the new diagonal PRECG method works better than the standard CG method.
    Matched MeSH terms: Motivation
  13. Nazrina Aziz
    Sains Malaysiana, 2014;43:1973-1977.
    There are two main reasons that motivate people to detect outliers; the first is the researchers' intention; see the example of Mr Haldum's cases in Barnett and Lewis. The second is the effect of outliers on analyses. This article does not differentiate between the various justifications for outlier detection. The aim was to advise the analyst about observations that are isolated from the other observations in the data set. In this article, we introduce the eigenstructure based angle for outlier detection. This method is simple and effective in dealing with masking and swamping problems. The method proposed is illustrated and compared with Mahalanobis distance by using several data sets.
    Matched MeSH terms: Motivation
  14. Yang C, Simon G, See J, Berger MO, Wang W
    Sensors (Basel), 2020 May 27;20(11).
    PMID: 32471231 DOI: 10.3390/s20113045
    Collecting correlated scene images and camera poses is an essential step towards learning absolute camera pose regression models. While the acquisition of such data in living environments is relatively easy by following regular roads and paths, it is still a challenging task in constricted industrial environments. This is because industrial objects have varied sizes and inspections are usually carried out with non-constant motions. As a result, regression models are more sensitive to scene images with respect to viewpoints and distances. Motivated by this, we present a simple but efficient camera pose data collection method, WatchPose, to improve the generalization and robustness of camera pose regression models. Specifically, WatchPose tracks nested markers and visualizes viewpoints in an Augmented Reality- (AR) based manner to properly guide users to collect training data from broader camera-object distances and more diverse views around the objects. Experiments show that WatchPose can effectively improve the accuracy of existing camera pose regression models compared to the traditional data acquisition method. We also introduce a new dataset, Industrial10, to encourage the community to adapt camera pose regression methods for more complex environments.
    Matched MeSH terms: Motivation
  15. Ab Aziz MZ, Tengku Ismail TA, Ibrahim MI, Yaacob NM, Mohd Said Z
    Int J Environ Res Public Health, 2022 Sep 29;19(19).
    PMID: 36231727 DOI: 10.3390/ijerph191912428
    Inadequate men's engagement with health services may be influenced by unmet needs and demands of the local men's community. This study aimed to explore men's experiences with primary health services and their expectations of the characteristics of friendly primary health services, from the perspective of men in Kelantan, Malaysia. A qualitative study using in-depth interviews was conducted with 15 men from six primary health facilities in Kelantan, Malaysia, who were selected based on maximum variation sampling. The data were transcribed and analyzed using the thematic analysis method. The study found that experiences with the existing primary health services were categorized into four subthemes: provision of health services, health promotion delivery, attributes of healthcare providers, and the physical environment of the health facilities. Meanwhile, the expectations of the characteristics of friendly primary health services were categorized into four subthemes: meeting the needs of men in primary health services, approaching men through effective health promotion strategies, standards of a healthcare provider from the viewpoint of men, and a comfortable physical environment for men. Prior experiences hugely influenced men's expectations of friendly primary health services. Men want these health service characteristics customized to meet their needs, allowing them to use health services with confidence and comfort. Thus, to strengthen primary health services for men, it is essential to comprehend their prior experiences with and expectations of the services.
    Matched MeSH terms: Motivation*
  16. Dapari R, Bashaabidin MSM, Hassan MR, Dom NC, Rahim SSSA, Wan Mahiyuddin WR
    Int J Environ Res Public Health, 2022 Nov 21;19(22).
    PMID: 36430081 DOI: 10.3390/ijerph192215362
    Depression, anxiety, and stress (DAS) among adolescents have become a public health concern. The aim of this study was to develop, implement, and measure an IMB-based health education intervention module for reducing DAS among adolescents in boarding schools in the state of Negeri Sembilan, Malaysia. A single-blinded cluster randomised control trial (RCT) was conducted among students with abnormal DASS-21 scores. They were divided into an intervention group (three schools, 62 participants) and a control group (three schools, 57 participants). Participants in the intervention group received IMB-based health education, while participants in the control group underwent the standard care session. To determine the effectiveness of the intervention, the Generalised Linear Mixed Model (GLMM) analysis was conducted. A total of 119 students participated in this study, and no loss to follow-up was reported. Both intervention and control groups showed significantly reduced DAS scores (p < 0.005). However, the reduction of these scores was greater in the intervention group. The GLMM analysis revealed that the intervention was effective in reducing depression (ß = -2.400, t = -3.102, SE = 0.7735, p = 0.002, 95% CI = -3.921, -0.878), anxiety (ß = -2.129, t = -2.824, SE = 0.7541, p = 0.005, 95% CI = -3.612, -0.646), and stress (ß = -1.335, t = -2.457, SE = 0.536, p = 0.015, 95% CI = -2.045, -0.266) among adolescents. The IMB-based health education module was effective in reducing DAS among adolescents in boarding schools.
    Matched MeSH terms: Motivation*
  17. Syed-Yahya SNN, Idris MA, Shimazu A
    Ind Health, 2023 Dec 06;61(6):419-431.
    PMID: 36384861 DOI: 10.2486/indhealth.2022-0064
    Much research has identified safety motivation as an essential individual-level antecedent of safety performance. Recently, scholars have shown interest in workplace support as an essential factor of safety motivation. While support from different sources is theoretically distinct, each is argued to be not just an antecedent, but also an outcome of the other. A similar reciprocal relationship is also expected between support and safety motivation. Our research utilised the Self-Determination Theory (Deci & Ryan, 1985) and Social Cognitive Theory (Bandura, 1988) to examine the role of each source of support on safety motivation; and investigate their reciprocal relationships. We used structural equation modelling to analyse three-wave longitudinal data (three months apart) from 314 firefighters throughout Malaysia. The result confirmed direct relationships and interestingly, denied that reciprocal relationships exist between organisational support, social support, and safety motivation over time. Our study recommends that the fire department should encourage support from all sources, primarily from senior management since it is the catalyst that activates support from other sources.
    Matched MeSH terms: Motivation*
  18. Wong SL, McLellan R
    J Adolesc, 2024 Feb;96(2):305-321.
    PMID: 37997033 DOI: 10.1002/jad.12276
    INTRODUCTION: Adolescents' social network sites (SNS) use is prominent during the developmental period. Various adolescents' motivations for using  SNS have been reported. However, there is a lack of psychological perspectives in understanding the reasons for adolescents to use SNS. This study explored adolescents' motivation to use SNS, and a comprehensive psychological framework was used to dismantle adolescents' reasons and purposes for using SNS. Adolescents' ways of using SNS were explored to contextualize teens' SNS use.

    METHODS: Semistructured interviews with 18 Malaysian adolescents (Mage  = 15; 50% female; 10 Malay, 5 Chinese, 1 Indian, 1 Other Bumiputera) were conducted. The qualitative data were collected in 2021 in Malaysia through online video calls. Reflexive thematic analysis was the analytic approach.

    RESULTS: Six motivations for using SNS were identified: social interaction, content subscription and exploration, emotional support, participation, distraction, and self-expression. Each of the motivations was explicitly linked with different psychological needs. Adolescents were found to use SNS differently in three aspects: deliberate use (i.e., on purpose of use and time spent on SNS), content-selective, and audience-selective.

    CONCLUSION: This study demonstrates that psychological needs are the psychological reasons for adolescents' motivations for using SNS. Adolescence developmental tasks like strong peer identification and identity explorations are parts of the basic and compound psychological needs. Teens are pursuing a sense of self-coherence by using SNS. Adolescents demonstrated to use SNS differently at being deliberate and selective, which is speculated to be a result of the conflict between reflexive and reflective thought processes during SNS use.

    Matched MeSH terms: Motivation*
  19. Khoo EJ, Duenas DM, Wilfond BS, Gelinas L, Matheny Antommaria AH
    Pediatrics, 2023 Feb 01;151(2).
    PMID: 36660851 DOI: 10.1542/peds.2021-055702
    When incentives are offered to parents and their children to partake in research, there are concerns that parents may be unduly influenced by the incentives, and the children may be exploited. We present a case from a low- and middle-income country and consider the ethical issues that arise when the children are asked to participate in a multinational, double-blind, randomized, placebo-controlled trial of the effects of a nutritional supplement on growth. The first commenter, from Malaysia, notes that their residents might not share Americans' expectations regarding children's role in the consent process from a cultural perspective, which may alter the analysis of the concerns. The authors of the second commentary emphasize the use of incentives that benefit the child participant rather than their parent or are provided directly to the child participant to address the concerns. The third commentator discusses the importance of minimizing the study's risks and balancing the benefits and the risks, which attenuates the concerns.
    Matched MeSH terms: Motivation*
  20. Wee SC, Choong WW
    J Environ Manage, 2019 Mar 01;233:97-106.
    PMID: 30572268 DOI: 10.1016/j.jenvman.2018.11.127
    This research predicted the effectiveness of variety game design elements in enhancing the intrinsic motivation of users on energy conservation behaviour prior to its actual implementation to ensure cost-effective. Face-to-face questionnaire surveys were conducted at the five recognized Malaysian research universities and obtained a total of 1500 valid survey data. The collected data was run with Structural Equation Modeling (SEM) analysis using SmartPLS 3 software. The results predicted the positive effect of gamification on intrinsically motivate the users based on Self-Determination Theory (SDT). The identified nine core game design elements were found to be useful in satisfying users' autonomy, competence and relatedness need satisfactions specified by SDT. This research is useful to guide the campaign organizer in designing a gamified design energy-saving campaign and provide understanding on the causal relationships between game design elements and users' intrinsic motivation to engage on energy conservation. A game-like campaign environment is believed to be created to users by implementing the game design elements in energy-saving campaign, and subsequently users' intrinsic motivation to engage on energy conservation behaviour can be enhanced.
    Matched MeSH terms: Motivation*
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