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  1. Siddique J, Shamim A, Nawaz M, Faye I, Rehman M
    Front Psychol, 2020;11:591753.
    PMID: 33613353 DOI: 10.3389/fpsyg.2020.591753
    The increasing interest in online shopping in recent years has increased the importance of understanding customer engagement valence (CEV) in a virtual service network. There is yet a comprehensive explanation of the CEV concept, particularly its impact on multi-actor networks such as web stores. Therefore, this study aims to fill this research gap. In this study, past literature in the marketing and consumer psychology field was critically reviewed to understand the concept of CEV in online shopping, and the propositional-based style was employed to conceptualize the CEV within the online shopping (web stores) context. The outcomes demonstrate that the valence of customer engagement is dependent on the cognitive interpretation of signals that are prompted by multiple actors on a web store service network. If the signals are positively interpreted, positive outcomes such as service co-creation are expected, but if they are negatively interpreted, negative outcomes such as service co-destruction are predicted. These notions create avenues for future empirical research and practical implications.
    Matched MeSH terms: Empirical Research
  2. Chong BW, Othman R, Putra Jaya R, Mohd Hasan MR, Sandu AV, Nabiałek M, et al.
    Materials (Basel), 2021 Apr 09;14(8).
    PMID: 33918757 DOI: 10.3390/ma14081866
    Concrete mix design and the determination of concrete performance are not merely engineering studies, but also mathematical and statistical endeavors. The study of concrete mechanical properties involves a myriad of factors, including, but not limited to, the amount of each constituent material and its proportion, the type and dosage of chemical additives, and the inclusion of different waste materials. The number of factors and combinations make it difficult, or outright impossible, to formulate an expression of concrete performance through sheer experimentation. Hence, design of experiment has become a part of studies, involving concrete with material addition or replacement. This paper reviewed common design of experimental methods, implemented by past studies, which looked into the analysis of concrete performance. Several analysis methods were employed to optimize data collection and data analysis, such as analysis of variance (ANOVA), regression, Taguchi method, Response Surface Methodology, and Artificial Neural Network. It can be concluded that the use of statistical analysis is helpful for concrete material research, and all the reviewed designs of experimental methods are helpful in simplifying the work and saving time, while providing accurate prediction of concrete mechanical performance.
    Matched MeSH terms: Empirical Research
  3. Mukhtar F, Oei TP
    Depress Res Treat, 2011;2011:123642.
    PMID: 21804939 DOI: 10.1155/2011/123642
    This paper aimed to review the literature on depression that focused on its assessment and treatment in Malaysia. PsycINFO, Medline, local journals were searched, and 18 published articles were included in this paper. Results indicate that research on depression in Malaysia, particularly validation studies and psychotherapy research, was weak and fragmented, with minimal empirical evidence available. Pharmacotherapy still dominated the treatment for depression, and, in terms of psychotherapy, Cognitive Behavioural Therapy (CBT) was recently practiced, but only a few studies have reported on the treatment efficacy of CBT. Major limitations of studies were noted, and, consequently, the problems that are associated with the implementation and future direction of clinical and research on depression in Malaysia were discussed. In short, the contribution of empirical research on the assessment and treatment for depression remained inconsistent and fragmented and urgently in need of further empirical investigation.
    Matched MeSH terms: Empirical Research
  4. Noman AHM, Gee CS, Isa CR
    PLoS One, 2017;12(5):e0176546.
    PMID: 28486548 DOI: 10.1371/journal.pone.0176546
    This study examines the influence of competition on the financial stability of the commercial banks of Association of Southeast Asian Nation (ASEAN) over the 1990 to 2014 period. Panzar-Rosse H-statistic, Lerner index and Herfindahl-Hirschman Index (HHI) are used as measures of competition, while Z-score, non-performing loan (NPL) ratio and equity ratio are used as measures of financial stability. Two-step system Generalized Method of Moments (GMM) estimates demonstrate that competition measured by H-statistic is positively related to Z-score and equity ratio, and negatively related to non-performing loan ratio. Conversely, market power measured by Lerner index is negatively related to Z-score and equity ratio and positively related to NPL ratio. These results strongly support the competition-stability view for ASEAN banks. We also capture the non-linear relationship between competition and financial stability by incorporating a quadratic term of competition in our models. The results show that the coefficient of the quadratic term of H-statistic is negative for the Z-score model given a positive coefficient of the linear term in the same model. These results support the non-linear relationship between competition and financial stability of the banking sector. The study contains significant policy implications for improving the financial stability of the commercial banks.
    Matched MeSH terms: Empirical Research
  5. Chin WC, Chin WC, Zaidi Isa, Abu Hassan Shaari Mohd Nor
    Sains Malaysiana, 2012;41:1287-1299.
    The accuracy of financial time series forecasts often rely on the model precision and the availability of actual observations for forecast evaluations. This study aimed to tackle these issues in order to obtain a suitable asymmetric time-varying volatility model that outperformed in the forecast evaluations based on interday and intraday data. The model precision was examined based on the most appropriate time-varying volatility representation under the autoregressive conditional heteroscedascity framework. For forecast precision, the evaluations were conducted under three loss functions using the volatility proxies and realized volatility. The empirical studies were implemented on two major financial markets and the estimated results are applied in quantifying their market risks. Empirical results indicated that Zakoian model provided the best in-sample forecasts whereas DGE on the other hand indicated better out-of-sample forecasts. For the type of volatility proxy selection, the implementation of intraday data in the latent volatility indicated significant improvement in all the time horizon forecasts.
    Matched MeSH terms: Empirical Research
  6. Govindapillai S, Soon LK, Haw SC
    F1000Res, 2021;10:881.
    PMID: 34900233 DOI: 10.12688/f1000research.72843.2
    Knowledge graph (KG) publishes machine-readable representation of knowledge on the Web. Structured data in the knowledge graph is published using Resource Description Framework (RDF) where knowledge is represented as a triple (subject, predicate, object). Due to the presence of erroneous, outdated or conflicting data in the knowledge graph, the quality of facts cannot be guaranteed. Trustworthiness of facts in knowledge graph can be enhanced by the addition of metadata like the source of information, location and time of the fact occurrence. Since RDF does not support metadata for providing provenance and contextualization, an alternate method, RDF reification is employed by most of the knowledge graphs. RDF reification increases the magnitude of data as several statements are required to represent a single fact. Another limitation for applications that uses provenance data like in the medical domain and in cyber security is that not all facts in these knowledge graphs are annotated with provenance data. In this paper, we have provided an overview of prominent reification approaches together with the analysis of popular, general knowledge graphs Wikidata and YAGO4 with regard to the representation of provenance and context data. Wikidata employs qualifiers to include metadata to facts, while YAGO4 collects metadata from Wikidata qualifiers. However, facts in Wikidata and YAGO4 can be fetched without using reification to cater for applications that do not require metadata. To the best of our knowledge, this is the first paper that investigates the method and the extent of metadata covered by two prominent KGs, Wikidata and YAGO4.
    Matched MeSH terms: Empirical Research
  7. Arulananth TS, Kuppusamy PG, Ayyasamy RK, Alhashmi SM, Mahalakshmi M, Vasanth K, et al.
    PLoS One, 2024;19(4):e0300767.
    PMID: 38578733 DOI: 10.1371/journal.pone.0300767
    Semantic segmentation of cityscapes via deep learning is an essential and game-changing research topic that offers a more nuanced comprehension of urban landscapes. Deep learning techniques tackle urban complexity and diversity, which unlocks a broad range of applications. These include urban planning, transportation management, autonomous driving, and smart city efforts. Through rich context and insights, semantic segmentation helps decision-makers and stakeholders make educated decisions for sustainable and effective urban development. This study investigates an in-depth exploration of cityscape image segmentation using the U-Net deep learning model. The proposed U-Net architecture comprises an encoder and decoder structure. The encoder uses convolutional layers and down sampling to extract hierarchical information from input images. Each down sample step reduces spatial dimensions, and increases feature depth, aiding context acquisition. Batch normalization and dropout layers stabilize models and prevent overfitting during encoding. The decoder reconstructs higher-resolution feature maps using "UpSampling2D" layers. Through extensive experimentation and evaluation of the Cityscapes dataset, this study demonstrates the effectiveness of the U-Net model in achieving state-of-the-art results in image segmentation. The results clearly shown that, the proposed model has high accuracy, mean IOU and mean DICE compared to existing models.
    Matched MeSH terms: Empirical Research
  8. NOORIHA ABDULLAH, MOHD FAIZOL RIZAL MOHD RASID, NURHAFIZAH NORMAN@ZAKARIA
    MyJurnal
    This paper describes the Malaysian car owners’ preference to purchase their car through car lease swap arrangement. Since owning a car nowadays is a necessity for most individuals, people will try to find the easiest and fastest way to own a car. Hence, the aim of this paper is to describe the issues of car lease swap businesses conducted in Malaysia, in particular to understand the reasons, business mechanism, and benefits of buying a car via this method. Due to limited empirical studies on car lease swap arrangement in Malaysia, the research adopted a qualitative approach, which utilises the snowball method to identify its participants. Interviews were conducted with relevant parties, who were directly involved in car lease swap business, which include the car lease dealers, the car owners and third parties (buyers). The findings indicate that the car lease dealers were the most to gain out of this business, meanwhile the car owners were worse off. Compared to the third parties, the car owners benefited from the convenient arrangement of the business. Nevertheless, due to its vague legality, it is possible to have negative implications on all parties involved. As such, future research should look at all parties involved in investigating the issues of this car lease swap business, such as relevant government agencies and all other stakeholders.
    Matched MeSH terms: Empirical Research
  9. Lawrence RJ
    PMID: 28704943 DOI: 10.3390/ijerph14070763
    The low impact of scientific research on the relations between housing and health during the last 30 years can be attributed to a number of reasons. First, statistical analyses have meant to improve understanding of the relations between what are interpreted and measured as causal factors. However, any single statistical approach fails to account for the dynamic non-linear relations between multiple factors and therefore cannot analyze systemic complexity. Second, there has been too little accumulation and validation of knowledge from scientific research owing to the dominance of cross-sectional studies, and the lack of coordinated research agendas using these approaches in order to confirm empirical findings. Hence, there is little evidence indicating that public policies in both the housing and the public health sectors in specific localities have benefited from the accumulated evidence of empirical research. Third, the findings from empirical studies have been published in academic journals and monographs but rarely disseminated to actors and institutions in the public and private sectors. Hence housing and health research and policy formulation have not been consolidated during the last three decades. The author of this communication argues for a radical shift from conventional disciplinary and multi-disciplinary contributions to transdisciplinary research programmes and projects that formulate and apply innovative approaches founded on conceptual frameworks that apply systems thinking for the integration of knowledge and know-how of researchers, policy makers, and professional practitioners in precise localities.
    Matched MeSH terms: Empirical Research
  10. Sorokowski P, Sorokowska A, Karwowski M, Groyecka A, Aavik T, Akello G, et al.
    J Sex Res, 2021 01;58(1):106-115.
    PMID: 32783568 DOI: 10.1080/00224499.2020.1787318
    The Triangular Theory of Love (measured with Sternberg's Triangular Love Scale - STLS) is a prominent theoretical concept in empirical research on love. To expand the culturally homogeneous body of previous psychometric research regarding the STLS, we conducted a large-scale cross-cultural study with the use of this scale. In total, we examined more than 11,000 respondents, but as a result of applied exclusion criteria, the final analyses were based on a sample of 7332 participants from 25 countries (from all inhabited continents). We tested configural invariance, metric invariance, and scalar invariance, all of which confirmed the cultural universality of the theoretical construct of love analyzed in our study. We also observed that levels of love components differ depending on relationship duration, following the dynamics suggested in the Triangular Theory of Love. Supplementary files with all our data, including results on love intensity across different countries along with STLS versions adapted in a few dozen languages, will further enable more extensive research on the Triangular Theory of Love.
    Matched MeSH terms: Empirical Research
  11. Barlow M, Watson B, Morse K, Jones E, Maccallum F
    J Health Organ Manag, 2023 Sep 26;ahead-of-print(ahead-of-print).
    PMID: 37749761 DOI: 10.1108/JHOM-06-2023-0171
    PURPOSE: The response of the receiver to a voiced patient safety concern is frequently cited as a barrier to health professionals speaking up. The authors describe a novel Receiver Mindset Framework (RMF) to help health professionals understand the importance of their response when spoken up to.

    DESIGN/METHODOLOGY/APPROACH: The framework draws on the broader receiver-focussed literature and integrates innovative findings from a series of empirical studies. These studies examined different receiver behaviour within vignettes, retrospective descriptions of real interactions and behaviour in a simulated interaction.

    FINDINGS: The authors' findings indicated that speaking up is an intergroup interaction where social identities, context and speaker stance intersect, directly influencing both perceptions of and responses to the message. The authors' studies demonstrated that when spoken up to, health professionals poorly manage their emotions and ineffectively clarify the speaker's concerns. Currently, targeted training for receivers is overwhelmingly absent from speaking-up programmes. The receiver mindset framework provides an evidence-based, healthcare specific, receiver-focussed framework to inform programmes.

    ORIGINALITY/VALUE: Grounded in communication accommodation theory (CAT), the resulting framework shifts speaking up training from being only speaker skill focussed, to training that recognises speaking up as a mutual negotiation between the healthcare speaker and receiver. This framework provides healthcare professionals with a novel approach to use in response to speaking up that enhances their ability to listen, understand and engage in point-of-care negotiations to ensure the physical and psychological safety of patients and staff.

    Matched MeSH terms: Empirical Research
  12. Azharudin Mukhtaruddin, Muzamir Isa, Mohd Fadzil Ain, Mazlee Mohd Noor, Mohd Rafi Adzman, Mohamad Nur Khairul Hafizi Rohani
    MyJurnal
    Partial discharge (PD) is a phenomenon that may lead to dielectric breakdown and can provide important information for condition monitoring on electrical power equipment, in particular transformer. One of the methods is the detection of the electromagnetic (EM) wave signal emitted by PD. Although the frequency spectrum in EM is very wide, this paper discusses the detection of EM only at ultra-high frequency (UHF). One of the detectors that can be used to detect EM is the antenna. There are a lot of antenna designs that have been proposed to detect the signal. The designs can be generally divided into two: PCB-based design and physical antenna design. An example of the latter is monopole. Some of the proposed antennas were left at the design stage while others went to be applied in actual PD experimentation. Discussion on the capabilities of these antennas can lead to the selection of a suitable antenna.
    Matched MeSH terms: Empirical Research
  13. Khan, M.R.T., Chamhuri, S., Farah, H.S.
    MyJurnal
    The term ‘sustainable’ has become a buzz word in today’s business world. Consumption of green food is just one facet or ‘trip’ to the whole journey of sustainable development. This paper explores and synthesizes the findings of research on green food consumption in Malaysia. The already conducted studies in Malaysia have revealed various demographic and psychographic factors contributing to consumers’ intension to buy green food. This study revealed that majority of Malaysians consider food safety and health issue to be their prime reason for buying green food. To ensure the long term sustainability, the green food as well as the broad food industry in Malaysia must evidently understand the consumers’ buying motives of green food. Although mentionable limitation of the paper is the reliance on only published literature, this can be used as input for further large scale empirical research. The paper concludes with implications and suggestions for further research.
    Matched MeSH terms: Empirical Research
  14. Adeleke AQ, Bahaudin AY, Kamaruddeen AM, Bamgbade JA, Salimon MG, Khan MWA, et al.
    Saf Health Work, 2018 Mar;9(1):115-124.
    PMID: 30363069 DOI: 10.1016/j.shaw.2017.05.004
    Background: Substantial empirical research has shown conflicting results regarding the influence of organizational external factors on construction risk management, suggesting the necessity to introduce a moderator into the study. The present research confirmed whether rules and regulations matter on the relationships between organizational external factors and construction risk management.

    Methods: Based on discouragement and organizational control theory, this research examined the effects of organizational external factors and rules and regulations on construction risk management among 238 employees operating in construction companies in Abuja and Lagos, Nigeria. A personally administered questionnaire was used to acquire the data. The data were analyzed using partial least squares structural equation modeling.

    Results: A significant positive relationship between organizational external factors and construction risk management was asserted. This study also found a significant positive relationship between rules and regulations and construction risk management. As anticipated, rules and regulations were found to moderate the relationship between organizational external factors and construction risk management, with a significant positive result. Similarly, a significant interaction effect was also found between rules and regulations and organizational external factors. Implications of the research from a Nigerian point of view have also been discussed.

    Conclusion: Political, economy, and technology factors helped the construction companies to reduce the chance of risk occurrence during the construction activities. Rules and regulations also helped to lessen the rate of accidents involving construction workers as well as the duration of the projects. Similarly, the influence of the organizational external factors with rules and regulations on construction risk management has proven that most of the construction companies that implement the aforementioned factors have the chance to deliver their projects within the stipulated time, cost, and qualities, which can be used as a yardstick to measure a good project.

    Matched MeSH terms: Empirical Research
  15. Wang C, Qi F, Liu P, Ibrahim H, Wang X
    Environ Sci Pollut Res Int, 2023 Jun;30(30):75454-75468.
    PMID: 37219774 DOI: 10.1007/s11356-023-27742-3
    Under the new development model, the digital economy has become a new engine to promote the green development of the economy and achieve the goal of "double carbon." Based on panel data from 30 Chinese provinces and cities from 2011 to 2021, the impact of the digital economy on carbon emissions was empirically studied by constructing a panel model and a mediation model. The results show that firstly, the effect of the digital economy on carbon emissions is a non-linear inverted "U" shaped relationship, and this conclusion still holds after a series of robustness tests; secondly, the results of the benchmark regression show that economic agglomeration is an essential mechanism through which the digital economy affects carbon emissions and that the digital economy can indirectly suppress carbon emissions through economic agglomeration. Finally, the results of the heterogeneity analysis show that the impact of the digital economy on carbon emissions varies according to the level of regional development, and its effect on carbon emissions is mainly in the eastern region, while its impact on the central and western regions is weaker, indicating that the impact effect is primarily in developed regions. Therefore, the government should accelerate the construction of new digital infrastructure and implement the development strategy of the digital economy according to local conditions to promote a more significant carbon emission reduction effect of the digital economy.
    Matched MeSH terms: Empirical Research
  16. Nguyen MT, Denniston R, Nguyen HT, Hoang TA, Ross H, So AD
    PLoS One, 2014;9(1):e87272.
    PMID: 24489886 DOI: 10.1371/journal.pone.0087272
    Illicit trade carries the potential to magnify existing tobacco-related health care costs through increased availability of untaxed and inexpensive cigarettes. What is known with respect to the magnitude of illicit trade for Vietnam is produced primarily by the industry, and methodologies are typically opaque. Independent assessment of the illicit cigarette trade in Vietnam is vital to tobacco control policy. This paper measures the magnitude of illicit cigarette trade for Vietnam between 1998 and 2010 using two methods, discrepancies between legitimate domestic cigarette sales and domestic tobacco consumption estimated from surveys, and trade discrepancies as recorded by Vietnam and trade partners. The results indicate that Vietnam likely experienced net smuggling in during the period studied. With the inclusion of adjustments for survey respondent under-reporting, inward illicit trade likely occurred in three of the four years for which surveys were available. Discrepancies in trade records indicate that the value of smuggled cigarettes into Vietnam ranges from $100 million to $300 million between 2000 and 2010 and that these cigarettes primarily originate in Singapore, Hong Kong, Macao, Malaysia, and Australia. Notable differences in trends over time exist between the two methods, but by comparison, the industry estimates consistently place the magnitude of illicit trade at the upper bounds of what this study shows. The unavailability of annual, survey-based estimates of consumption may obscure the true, annual trend over time. Second, as surveys changed over time, estimates relying on them may be inconsistent with one another. Finally, these two methods measure different components of illicit trade, specifically consumption of illicit cigarettes regardless of origin and smuggling of cigarettes into a particular market. However, absent a gold standard, comparisons of different approaches to illicit trade measurement serve efforts to refine and improve measurement approaches and estimates.
    Matched MeSH terms: Empirical Research
  17. Reid A
    J Southeast Asian Stud, 2001;32(3):295-313.
    PMID: 19192500
    Matched MeSH terms: Empirical Research
  18. See HY, Mohamed MS, Mohd Noor SN, Low WY
    Account Res, 2019 01;26(1):49-64.
    PMID: 30526066 DOI: 10.1080/08989621.2018.1556646
    The review of clinical trials with human participants in Malaysia is governed by a decentralized control system. The clinical trial protocols are reviewed by 13 registered research ethics committees (RECs) in Malaysia. A governmental body, the National Pharmaceutical Control Bureau, is responsible for the inspection and oversight of these registered RECs to ensure that they comply with the regulatory requirements. However, this study highlights that each REC in Malaysia has a different standard operating procedure and ethical review process. Other procedural challenges identified include inadequate membership, poor mechanism for research monitoring after ethical approval, and insufficient resources. Establishments of a national standard of REC and a central ethics committee are suggested to ensure procedural compliance in the oversight of clinical trials in Malaysia. While there is a growing concern that procedural compliance may not have a direct impact on the protection of human subjects, our key point is that an ethical review system compliant with the national standards could serve as a strong framework to support and enhance the ethical quality of decision-making and judgement. We believe that being aware of how influential procedural compliance can be would help committees improve the ethical quality of their research review.
    Matched MeSH terms: Empirical Research
  19. Lim XY, Tan TYC, Muhd Rosli SH, Sa'at MNF, Sirdar Ali S, Syed Mohamed AF
    PLoS One, 2021;16(1):e0245471.
    PMID: 33465140 DOI: 10.1371/journal.pone.0245471
    INTRODUCTION: Hemp (Cannabis sativa subsp. sativa), commonly used for industrial purposes, is now being consumed by the public for various health promoting effects. As popularity of hemp research and claims of beneficial effects rises, a systematic collection of current scientific evidence on hemp's health effects and pharmacological properties is needed to guide future research, clinical, and policy decision making.

    OBJECTIVE: To provide an overview and identify the present landscape of hemp research topics, trends, and gaps.

    METHODS: A systematic search and analysis strategy according to the preferred reporting items for systematic review and meta-analysis-ScR (PRISMA-ScR) checklist on electronic databases including MEDLINE, OVID (OVFT, APC Journal Club, EBM Reviews), Cochrane Library Central and Clinicaltrials.gov was conducted to include and analyse hemp research articles from 2009 to 2019.

    RESULTS: 65 primary articles (18 clinical, 47 pre-clinical) were reviewed. Several randomised controlled trials showed hempseed pills (in Traditional Chinese Medicine formulation MaZiRenWan) improving spontaneous bowel movement in functional constipation. There was also evidence suggesting benefits in cannabis dependence, epilepsy, and anxiety disorders. Pre-clinically, hemp derivatives showed potential anti-oxidative, anti-hypertensive, anti-inflammatory, anti-diabetic, anti-neuroinflammatory, anti-arthritic, anti-acne, and anti-microbial activities. Renal protective effects and estrogenic properties were also exhibited in vitro.

    CONCLUSION: Current evidence on hemp-specific interventions are still preliminary, with limited high quality clinical evidence for any specific therapeutic indication. This is mainly due to the wide variation in test item formulation, as the multiple variants of this plant differ in their phytochemical and bioactive compounds. Future empirical research should focus on standardising the hemp plant for pharmaceutical use, and uniformity in experimental designs to strengthen the premise of using hemp in medicine.

    Matched MeSH terms: Empirical Research
  20. Boo NY, Mohd-Amin I, Bilkis AA, Yong-Junina F
    Singapore Med J, 2006 Sep;47(9):763-8.
    PMID: 16924357
    Introduction: The aim of this study was to determine predictors of failed closure of patent ductus arteriosus (PDA) following a single course of indomethacin in symptomatic preterm infants.
    Methods: This prospective observational study was carried out on 60 preterm infants weighing less than 1,750 g with symptomatic PDA confirmed by echocardiography. At a median age of 7.0 days (interquartile range 4.0), they were given indomethacin of 0.1 mg/kg/day intravenously daily for six days. Closure of PDA was reassessed by echocardiography upon completion of therapy.
    Results: The PDA of 40 percent (n=24) of these infants remained patent. Forward logistic regression analysis showed that the only significant predictors of failed PDA closure in these infants were: PDA size (adjusted odds-ratio [OR] is 7.0; 95 percent confidence interval [CI] of OR is 2.0, 24.8; p-value is 0.002), birth weight (adjusted OR is 0.996; 95 percent CI of OR is 0.993, 1.000; p-value is 0.03) and platelet count (adjusted OR is 0.987; 95 percent CI is 0.975, 1.000; p-value is 0.045). Gestational age, maternal age and left atrium/aorta ratios were not significant predictors.
    Conclusion: Larger PDA, lower birth weight and lower platelet count were significant predictors of high failure in indomethacin therapy given late at one week of life.
    Matched MeSH terms: Empirical Research
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