Displaying publications 41 - 60 of 353 in total

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  1. Lai CM, Mak KK, Watanabe H, Jeong J, Kim D, Bahar N, et al.
    Public Health, 2015 Sep;129(9):1224-36.
    PMID: 26343546 DOI: 10.1016/j.puhe.2015.07.031
    OBJECTIVES: This study examines the associations of Internet addiction with social anxiety, depression, and psychosocial well-being among Asian adolescents. A self-medication model conceptualizing Internet addiction as a mediating role in relating depression and social anxiety to negative psychosocial well-being was tested.
    STUDY DESIGN: A cross-sectional survey.
    METHODS: In the Asian Adolescent Risk Behavior Survey (AARBS), 5366 adolescents aged 12-18 years from six Asian countries (China, Hong Kong, Japan, South Korea, Malaysia, and Philippines) completed a questionnaire with items of the Internet Addiction Test (IAT), Social Anxiety Scale for Adolescents (SAS-A), Center for Epidemiological Studies Depression Scale (CESD), Self-Rated Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA-SR) in the 2012-2013 school year. Structural equation modelling was used to examine the mediating role of Internet addiction in depression, social anxiety, and subjective psychosocial well-being.
    RESULTS: Significant differences on the scores of IAT, SAS-A, CESD, and HoNOSCA-SR across the six countries were found. The proposed self-medication model of Internet addiction received satisfactory goodness-of-fit with data of all countries. After the path from social anxiety to Internet addiction had been discarded in the revised model, there was a significant improvement of the goodness-of-fit in the models for Japan, South Korea, and the Philippines.
    CONCLUSIONS: Depression and social anxiety reciprocally influenced, whereas depression associated with poorer psychosocial well-being directly and indirectly through Internet addiction in all six countries. Internet addiction mediated the association between social anxiety and poor psychosocial well-being in China, Hong Kong, and Malaysia.
    KEYWORDS: Adolescents; Asian; Depression; Internet addiction; Social anxiety; Structural equation modelling
    Matched MeSH terms: Internet/utilization*
  2. T'ng ST, Ho KH, Sim DE, Yu CH, Wong PY
    Psych J, 2020 Feb;9(1):96-107.
    PMID: 31797557 DOI: 10.1002/pchj.320
    Insufficient attention has been given to the integration of the mediating effect of Internet gaming disorder (IGD) symptoms on loneliness and four components of aggression-physical aggression, verbal aggression, anger, and hostility-in the Malaysian context. In the present study, 410 participants with (a) at least 1 year of Internet gaming experience and (b) between ages 20- to 39 years were recruited using the probability proportional to size sampling method. Participants were undergraduate students and working adults. Self-reported questionnaires (the Internet Gaming Disorder Scale, University of California, Los Angeles Loneliness Scale, and the Buss-Perry Aggression Questionnaire) were used. The present study found that loneliness positively predicted four components of aggression (i.e., anger, hostility, physical aggression, and verbal aggression) and symptoms of IGD. Relationships between loneliness and the four components of aggression were partially mediated by IGD symptoms. The present study enriches and consolidates existing empirical evidence, particularly in the Malaysian context. If the mediating effect is not emphasized, it may lead to spurious conclusions that can significantly diminish the effectiveness of interventions that are meant to manage aggression.
    Matched MeSH terms: Internet
  3. Lua PL, Wan Putri Elena WD
    Malays J Med Sci, 2012 Jan;19(1):4-14.
    PMID: 22977369 MyJurnal
    The purpose of this review is to provide a summary of studies on the effectiveness nutrition education interventions used by college students. Electronic databases such as Medline, Science Direct, CINAHL (EBSCOhost), and Google Scholar were explored for articles that involved nutrition education interventions for college students and that were published between 1990 and 2011. Fourteen studies, which involved a total of 1668 college students as respondents, were identified and met the inclusion criteria. The results showed that there were 3 major forms of nutrition education interventions: web-based education, lectures, and supplement provisions. Dietary intake measures were used in almost all studies and were primarily collected with food records, recall, food frequency questionnaires, and dietary habit questionnaires. The outcome measures varied among the studies, with indicators such as consumption of food, nutrition knowledge, dietary habits, physical activity, and quality of life. Methodological issues were also identified. In general, college students experienced significant changes in their dietary habits after the interventions were employed. The highlighted methodological issues should be considered to improve the quality of similar research in future.
    Matched MeSH terms: Internet
  4. Al-Mulali U, Sheau-Ting L, Ozturk I
    Environ Sci Pollut Res Int, 2015 Jul;22(13):9717-27.
    PMID: 25631741 DOI: 10.1007/s11356-015-4142-2
    This study investigates the influence of Internet retailing on carbon dioxide (CO2) emission in 77 countries categorized into developed and developing countries during the period of 2000-2013. To realize the aims of the study, a model that represents pollution is established utilizing the panel two-stage least square (TSLS) and the generalized method of moments (GMM). The results for both regressions similarly indicated that GDP growth, electricity consumption, urbanization, and trade openness are the main factors that increase CO2 emission in the investigated countries. Although the results show that Internet retailing reduces CO2 emission in general, a disaggregation occurs between developed and developing countries whereby Internet retailing has a significant negative effect on CO2 emission in the developed countries while it has no significant impact on CO2 emission in the developing countries. From the outcome of this study, a number of policy implications are provided for the investigated countries.
    Matched MeSH terms: Internet*
  5. Syed-Mohamad SM, Ali SH, Mat-Husin MN
    Health Inf Manag, 2010;39(1):30-5.
    PMID: 20335647
    This paper describes the method used to develop the One Stop Crisis Centre (OSCC) Portal, an open source web-based electronic patient record system (EPR) for the One Stop Crisis Center, Hospital Universiti Sains Malaysia (HUSM) in Kelantan, Malaysia. Features and functionalities of the system are presented to demonstrate the workflow. Use of the OSCC Portal improved data integration and data communication and contributed to improvements in care management. With implementation of the OSCC portal, improved coordination between disciplines and standardisation of data in HUSM were noticed. It is expected that this will in turn result in improved data confidentiality and data integrity. The collected data will also be useful for quality assessment and research. Other low-resource centers with limited computer hardware and access to open-source software could benefit from this endeavour.
    Matched MeSH terms: Internet*
  6. Lee WC, Anton BP, Wang S, Baybayan P, Singh S, Ashby M, et al.
    BMC Genomics, 2015;16:424.
    PMID: 26031894 DOI: 10.1186/s12864-015-1585-2
    The genome of the human gastric pathogen Helicobacter pylori encodes a large number of DNA methyltransferases (MTases), some of which are shared among many strains, and others of which are unique to a given strain. The MTases have potential roles in the survival of the bacterium. In this study, we sequenced a Malaysian H. pylori clinical strain, designated UM032, by using a combination of PacBio Single Molecule, Real-Time (SMRT) and Illumina MiSeq next generation sequencing platforms, and used the SMRT data to characterize the set of methylated bases (the methylome).
    Matched MeSH terms: Internet
  7. Laes JF, Aftimos P, Barthelemy P, Bellmunt J, Berchem G, Camps C, et al.
    Oncotarget, 2018 Apr 17;9(29):20282-20293.
    PMID: 29755651 DOI: 10.18632/oncotarget.24757
    Molecular profiling and functional assessment of signalling pathways of advanced solid tumours are becoming increasingly available. However, their clinical utility in guiding patients' treatment remains unknown. Here, we assessed whether molecular profiling helps physicians in therapeutic decision making by analysing the molecular profiles of 1057 advanced cancer patient samples after failing at least one standard of care treatment using a combination of next-generation sequencing (NGS), immunohistochemistry (IHC) and other specific tests. The resulting information was interpreted and personalized treatments for each patient were suggested. Our data showed that NGS alone provided the oncologist with useful information in 10-50% of cases (depending on cancer type), whereas the addition of IHC/other tests increased extensively the usefulness of the information provided. Using internet surveys, we investigated how therapy recommendations influenced treatment choice of the oncologist. For patients who were still alive after the provision of the molecular information (76.8%), 60.4% of their oncologists followed report recommendations. Most treatment decisions (93.4%) were made based on the combination of NGS and IHC/other tests, and an approved drug- rather than clinical trial enrolment- was the main treatment choice. Most common reasons given by physicians to explain the non-adherence to recommendations were drug availability and cost, which remain barriers to personalised precision medicine. Finally, we observed that 27% of patients treated with the suggested therapies had an overall survival > 12 months. Our study demonstrates that the combination of NGS and IHC/other tests provides the most useful information in aiding treatment decisions by oncologists in routine clinical practice.
    Matched MeSH terms: Internet
  8. Ng KH, Niroomand-Rad A, Hendee WR
    Med Phys, 2001 Dec;28(12):2391-3.
    PMID: 11797940
    Matched MeSH terms: Internet/trends*
  9. Reafee W, Salim N, Khan A
    PLoS One, 2016;11(5):e0154848.
    PMID: 27152663 DOI: 10.1371/journal.pone.0154848
    The explosive growth of social networks in recent times has presented a powerful source of information to be utilized as an extra source for assisting in the social recommendation problems. The social recommendation methods that are based on probabilistic matrix factorization improved the recommendation accuracy and partly solved the cold-start and data sparsity problems. However, these methods only exploited the explicit social relations and almost completely ignored the implicit social relations. In this article, we firstly propose an algorithm to extract the implicit relation in the undirected graphs of social networks by exploiting the link prediction techniques. Furthermore, we propose a new probabilistic matrix factorization method to alleviate the data sparsity problem through incorporating explicit friendship and implicit friendship. We evaluate our proposed approach on two real datasets, Last.Fm and Douban. The experimental results show that our method performs much better than the state-of-the-art approaches, which indicates the importance of incorporating implicit social relations in the recommendation process to address the poor prediction accuracy.
    Matched MeSH terms: Internet
  10. Raju C
    Med J Malaysia, 2005 Aug;60 Suppl D:75-8.
    PMID: 16315630
    This paper attempts to sensitize the participants to understand the benefits of looking at the regulations of accreditation for medical courses in the neighbouring nearby countries. Deregulation of Medical Education like what they have done will bring enormous revenue benefits for the existing assets like the airports, hospitals, hotels resorts and the communication infrastructure of Malaysia.
    Matched MeSH terms: Internet
  11. Wai YZ, Fiona Chew LM, Mohamad AS, Ang CL, Chong YY, Adnan TH, et al.
    Int J Ophthalmol, 2018;11(10):1685-1690.
    PMID: 30364221 DOI: 10.18240/ijo.2018.10.17
    AIM: To report the incidence, risk factors and visual outcomes for postoperative endophthalmitis (POE) based on 7-year data from the Malaysian Ministry of Health Cataract Surgery Registry (MOH CSR).

    METHODS: Data was collected from the web-based MOH CSR. All consecutive cataract surgery patients from 1st June 2008 to 31st December 2014 were identified. Exclusion criteria were traumatic cataract or previous ocular surgery. Demographic data, ocular co-morbidities, intraoperative details and postoperative visual acuity (VA) at final ophthalmological follow-up were noted. All eyes were taken for analysis. Subjects with POE were compared against subjects with no POE for risk factor assessment using multiple logistic regressions.

    RESULTS: A total of 163 503 subjects were screened. The incidence of POE was 0.08% (131/163 503). Demographic POE risk factors included male gender (OR: 2.121, 95%CI: 1.464-3.015) and renal disease (OR: 2.867, 95%CI: 1.503-5.467). POE risk increased with secondary causes of cataract (OR: 3.562, 95%CI: 1.740-7.288), uveitis (OR: 11.663, 95%CI: 4.292-31.693) and diabetic retinopathy (OR: 1.720, 95%CI: 1.078-2.744). Intraoperative factors reducing POE were shorter surgical time (OR: 2.114, 95%CI: 1.473-3.032), topical or intracameral anaesthesia (OR: 1.823, 95%CI: 1.278-2.602), posterior chamber intraocular lens (PCIOL; OR: 4.992, 95%CI: 2.689-9.266) and foldable IOL (OR: 2.276, 95%CI: 1.498-3.457). POE risk increased with posterior capsule rupture (OR: 3.773, 95%CI: 1.915-7.432) and vitreous loss (OR: 3.907, 95%CI: 1.720-8.873). Postoperative VA of 6/12 or better was achieved in 15.27% (20/131) subjects with POE.

    CONCLUSION: This study concurs with other studies regarding POE risk factors. Further strengthening of MOH CSR data collection process will enable deeper analysis and optimization of POE treatment.

    Matched MeSH terms: Internet
  12. Zhou R, Luo Z, Zhong S, Zhang X, Liu Y
    Int J Environ Res Public Health, 2022 Dec 17;19(24).
    PMID: 36554845 DOI: 10.3390/ijerph192416965
    With the rapid development and widespread popularity of the Internet, employee social media use at work has become an increasingly common phenomenon in organizations. This paper analyzes 105 related papers from the Social Science Citation Index in Web of Science through Scoping Review to clarify the definition and characteristics of employee social media use and the types of social media and summarizes the current research methods. Then, the reasons for employees' willingness and refusal to use social media and the positive and negative effects of employee social media use on employees' work attitudes, behaviors, and performance are discussed. Then, the mediating variables, moderating variables, and theoretical frameworks used in the relevant studies are described, and a comprehensive model of employee social media use is constructed. Finally, this paper indicates future research directions based on the latest research results in 2020-2022, i.e., improving research methods, increasing antecedent studies, expanding consequence research, and expanding mediating variables, moderating variables, and theoretical perspectives.
    Matched MeSH terms: Internet
  13. Mokhtar AM
    Malays J Med Sci, 2017 Oct;24(5):1-6.
    PMID: 29386967 DOI: 10.21315/mjms2017.24.5.1
    The future hospital is a resilient, physical learning facility featuring digital enhancement and leveraging an ecosystem of platforms for the Internet of Things (IoT) and analytics, achieving patient-centric care delivery via multidisciplinary healthcare provider teams coordinated to meet patients' medical, psychological, social and economic needs. It exists in a just ecosystem that assimilates the care spectrum from healthy living, the prevention of disease to acute care and the rehabilitation of patients recuperating from illnesses. It will take some time for these future hospitals to be built or for current hospitals to evolve and/or transform, but efforts to spread wisdom among the stakeholders, healthcare providers and patients must start now. The development of the digital components can also begin today, as can competency building for the healthcare providers who will be staffing these future hospitals, ensuring that they are equipped with competent staff employing patient-centric care processes that cater to patients' current and future needs.
    Matched MeSH terms: Internet
  14. Yeo JG, Wasser M, Kumar P, Pan L, Poh SL, Ally F, et al.
    Nat Biotechnol, 2020 06;38(6):679-684.
    PMID: 32440006 DOI: 10.1038/s41587-020-0532-1
    Matched MeSH terms: Internet
  15. Balla A, Habaebi MH, Elsheikh EAA, Islam MR, Suliman FM
    Sensors (Basel), 2023 Jan 09;23(2).
    PMID: 36679553 DOI: 10.3390/s23020758
    Integrating IoT devices in SCADA systems has provided efficient and improved data collection and transmission technologies. This enhancement comes with significant security challenges, exposing traditionally isolated systems to the public internet. Effective and highly reliable security devices, such as intrusion detection system (IDSs) and intrusion prevention systems (IPS), are critical. Countless studies used deep learning algorithms to design an efficient IDS; however, the fundamental issue of imbalanced datasets was not fully addressed. In our research, we examined the impact of data imbalance on developing an effective SCADA-based IDS. To investigate the impact of various data balancing techniques, we chose two unbalanced datasets, the Morris power dataset, and CICIDS2017 dataset, including random sampling, one-sided selection (OSS), near-miss, SMOTE, and ADASYN. For binary classification, convolutional neural networks were coupled with long short-term memory (CNN-LSTM). The system's effectiveness was determined by the confusion matrix, which includes evaluation metrics, such as accuracy, precision, detection rate, and F1-score. Four experiments on the two datasets demonstrate the impact of the data imbalance. This research aims to help security researchers in understanding imbalanced datasets and their impact on DL SCADA-IDS.
    Matched MeSH terms: Internet
  16. Momtaz YA, Mollaei P, Taheri-Tanjani P
    Curr Aging Sci, 2021 Feb 08.
    PMID: 33563165 DOI: 10.2174/1874609814666210208180051
    INTRODUCTION: One of the consequences of aging is the prevalence of chronic and age-related diseases, such as dementia. Caring for patients with dementia has a negative impact on the caregiver's well-being. This study aimed to examine the impact of cyberspace-based education on the well-being of caregivers of demented elderly people.

    METHODS: This experimental study was done on a sample of 86 caregivers of elderly with dementia in 2018. The study sample was selected from memory clinic of Taleghani Hospital and randomly assigned into groups (intervention n = 43, control n = 43 groups). The well-being was measured using the World Health Organization - Five Well-Being Index (WHO-5), before and two months after the intervention. Cyberspace-based educational intervention was conducted for one month. The SPSS software version 23 was employed in data analysis.

    RESULTS: The mean age of the caregivers in the intervention and control groups were (M = 51.95, SD = 10.90) and (M = 51.36, SD = 15.12) respectively. No significant difference was found between two groups in terms of age, gender and level of education. The results of analysis showed that while the well-being of the intervention group was significantly increased (t (38) = -11.38, P<0.001) the well-being in the control group was significantly reduced ( t(36) =4.71 , P<0.001).

    CONCLUSION: The findings showed that cyberspace-based education can improve the well-being of caregivers of the elderly with dementia.

    Matched MeSH terms: Internet
  17. Cros A, Ahamad Fatan N, White A, Teoh SJ, Tan S, Handayani C, et al.
    PLoS One, 2014;9(6):e96332.
    PMID: 24941442 DOI: 10.1371/journal.pone.0096332
    In this paper we describe the construction of an online GIS database system, hosted by WorldFish, which stores bio-physical, ecological and socio-economic data for the 'Coral Triangle Area' in South-east Asia and the Pacific. The database has been built in partnership with all six (Timor-Leste, Malaysia, Indonesia, The Philippines, Solomon Islands and Papua New Guinea) of the Coral Triangle countries, and represents a valuable source of information for natural resource managers at the regional scale. Its utility is demonstrated using biophysical data, data summarising marine habitats, and data describing the extent of marine protected areas in the region.
    Matched MeSH terms: Internet
  18. Wong LP, Alias H
    J Behav Med, 2021 Feb;44(1):18-28.
    PMID: 32757088 DOI: 10.1007/s10865-020-00172-z
    Monitoring public psychological and behavioural responses during the early phase of the coronavirus disease 2019 (COVID-19) outbreak is important for the management and control of infection. This study aims to investigate the temporal trend in (1) avoidance and protective behaviors, (2) fear, (3) socio-economic impact, and (4) anxiety levels during the early phase of the COVID-19 pandemic. As a high level of anxiety may have a detrimental impact during an infectious disease outbreak, factors associated with anxiety were also explored. The survey was carried out for 10 weeks and the responses were divided into three periods of around 3 weeks: 25 January-21 February, 22 February-17 March and 18 March-3 April (the period the Malaysian Government issued Movement Control Order). Findings revealed that most of the pyschobehavioural variables showed small increases during first (25 January-21 February) and second (22 February-17 March) periods, and high psychobehavioral responses were reported during the third period. A total of 72.1% (95%CI = 69.2-75.0) reported moderate to severe anxiety as measured by the State-Trait Anxiety Inventory. Factor influencing moderate to severe anxiety is a high perception of severity (OR = 2.09; 95%CI = 1.48-2.94), high perceived susceptibility (OR = 1.71; 95%CI = 1.17-2.50), high impact score (OR = 1.63; 95%CI = 1.17-2.26) and high fear score (OR = 1.47; 95%CI = 1.01-2.14). In conclusion, the psychological and behavioural responses were found to increase with the progression of the outbreak. High anxiety levels found in this study warrant provision of mental health intervention during the early phase of COVID-19 outbreak.
    Matched MeSH terms: Internet
  19. Abdul Karim R, Zakaria NF, Zulkifley MA, Mustafa MM, Sagap I, Md Latar NH
    Biomed Eng Online, 2013;12:21.
    PMID: 23496940 DOI: 10.1186/1475-925X-12-21
    Telepointer is a powerful tool in the telemedicine system that enhances the effectiveness of long-distance communication. Telepointer has been tested in telemedicine, and has potential to a big influence in improving quality of health care, especially in the rural area. A telepointer system works by sending additional information in the form of gesture that can convey more accurate instruction or information. It leads to more effective communication, precise diagnosis, and better decision by means of discussion and consultation between the expert and the junior clinicians. However, there is no review paper yet on the state of the art of the telepointer in telemedicine. This paper is intended to give the readers an overview of recent advancement of telepointer technology as a support tool in telemedicine. There are four most popular modes of telepointer system, namely cursor, hand, laser and sketching pointer. The result shows that telepointer technology has a huge potential for wider acceptance in real life applications, there are needs for more improvement in the real time positioning accuracy. More results from actual test (real patient) need to be reported. We believe that by addressing these two issues, telepointer technology will be embraced widely by researchers and practitioners.
    Matched MeSH terms: Internet
  20. Arunasalam N
    Br J Nurs, 2016 Nov 24;25(21):1201-1205.
    PMID: 27882796
    Some university schools of nursing in Australia and the UK have developed collaborative links with Malaysia to deliver part-time Transnational Higher Education (TNHE) post-registration top-up nursing degree courses. It enables nurses trained to diploma level to upgrade to a degree qualification. The views of 18 Malaysian nurses who had studied with one Australian and two UK TNHE universities were explored using a hermeneutic phenomenological approach. Participants recruited via convenience and snowball sampling methods were interviewed in English and Bahasa Malaysia (Malaysian language). Thematic analysis were used to analyse data. Findings indicated nurses' frustration with technology-enhanced teaching and learning and a lack of support throughout the programme. Although nurses developed confidence in using computer technology, they remained disappointed with the level of academic support. The data and some useful strategies outlined provide important insights for TNHE providers, the Malaysian Nursing Board and private hospital employers to consider for enhancing nurses learning and experiences.
    Matched MeSH terms: Internet
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