Displaying publications 1 - 20 of 45 in total

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  1. Pratoomsoot C, Sruamsiri R, Dilokthornsakul P, Chaiyakunapruk N
    PLoS One, 2015;10(1):e108681.
    PMID: 25633206 DOI: 10.1371/journal.pone.0108681
    Many randomised controlled trials (RCTs) of herbal interventions have been conducted in the ASEAN Communities. Good quality reporting of RCTs is essential for assessing clinical significance. Given the importance ASEAN placed on herbal medicines, the reporting quality of RCTs of herbal interventions among the ASEAN Communities deserved a special attention.
    Matched MeSH terms: Information Dissemination*
  2. Calisher C, Carroll D, Colwell R, Corley RB, Daszak P, Drosten C, et al.
    Lancet, 2020 03 07;395(10226):e42-e43.
    PMID: 32087122 DOI: 10.1016/S0140-6736(20)30418-9
    Matched MeSH terms: Information Dissemination*
  3. Teo HC, Campos-Arceiz A, Li BV, Wu M, Lechner AM
    PLoS One, 2020;15(9):e0239009.
    PMID: 32932516 DOI: 10.1371/journal.pone.0239009
    International attention on the environmental impacts of China's Belt and Road Initiative (BRI) is increasing, but little is known internationally about the large corpus of Chinese BRI environmental research. We present the first systematic review of the Chinese and English-language BRI environmental research, supported with text mining and sentiment analysis. We found that the research is dominated by Chinese authors writing about BRI routes within China in Chinese, even though concerns around BRI are largely about impacts and benefits within host countries, and the volume of publications in English is recently catching up. Different disciplines and methods are well-represented across languages, apart from specific types of Chinese social science papers. The sentiments of academic research are largely neutral and less polarised than media discourse. We recommend that scientists and practitioners should pay more attention to BRI environmental impacts in developing countries and proactively engage local voices.
    Matched MeSH terms: Information Dissemination/methods*
  4. Hasan SS, Ahmadi K
    Acad Med, 2017 02;92(2):140.
    PMID: 28118247 DOI: 10.1097/ACM.0000000000001517
    Matched MeSH terms: Information Dissemination*
  5. Ismail, N. A., Ab. Karim, M. S., Othman, M., Abd. Halim, N.
    MyJurnal
    The central question to be examined in this study is associated with the value of the Malays traditional culinary practices of Malay chef in preparing the traditional food in Malaysian hotels. Present understanding highlighted that hotels are giving high priority on their superior services, such as luxury accommodations and intimate hospitalities. As such, promoting local foods in their dining establishment has taken a back seat. Research from past scholars indicated that hotel in Malaysia can be the one stop center for the local and international tourists to get the first hand information about local food specialities. On the hindsight, very limited efforts have been put into practice on the promotions of local food especially Malay cuisines in hotels. Main issue such as mass-produced Malay cuisines in the commercial kitchens, for example, should be highlighted to ensure that hotels are not jeopardizing the originality of traditional food preparations. Therefore, a qualitative reasearch focusing in in-depth interview with 10 Malay chefs was conducted in hotels around the Klang Valley. The results are so profound that majority of the Malay chefs under study shared similar understandings on technology advancements and modernizations that have taken place in their daily food preparations. Another finding revealed that one of the most challenging factors in preventing the Malay chefs to prepare the Malay food as it has been done traditionally is the attitude and awareness of the young generations to understand the values in traditional culinary practices. This study concludes with suggestion that aggressive knowledge sharing and information dissemination among the Malay chefs in hotels are needed to effectively market the traditional Malay food.
    Matched MeSH terms: Information Dissemination
  6. Loh KH, Muhammad Ali Syed Hussein, Chong VC, Sasekumar A
    Sains Malaysiana, 2015;44:41-47.
    Two new records of moray eels (Muraenidae), Gymnothorax margaritophorus Bleeker, 1864 and Strophidon sathete (Hamilton 1822), are reported for Malaysia. They are represented by two specimens each, all collected from Sabah waters. The present study also provides the current taxonomic and distributional information of the Malaysian moray eels. To date, there are 33 species belonging to six genera of the Muraenidae in Malaysian waters based on the published records.
    Matched MeSH terms: Information Dissemination
  7. Stefaniak JD, Lam TCH, Sim NE, Al-Shahi Salman R, Breen DP
    Eur J Neurol, 2017 08;24(8):1071-1076.
    PMID: 28636179 DOI: 10.1111/ene.13336
    BACKGROUND AND PURPOSE: Trial discontinuation and non-publication represent major sources of research waste in clinical medicine. No previous studies have investigated non-dissemination bias in clinical trials of neurodegenerative diseases.

    METHODS: ClinicalTrials.gov was searched for all randomized, interventional, phase II-IV trials that were registered between 1 January 2000 and 31 December 2009 and included adults with Alzheimer's disease, motor neurone disease, multiple sclerosis or Parkinson's disease. Publications from these trials were identified by extensive online searching and contact with authors, and multiple logistic regression analysis was performed to identify characteristics associated with trial discontinuation and non-publication.

    RESULTS: In all, 362 eligible trials were identified, of which 12% (42/362) were discontinued. 28% (91/320) of completed trials remained unpublished after 5 years. Trial discontinuation was independently associated with number of patients (P = 0.015; more likely in trials with ≤100 patients; odds ratio 2.65, 95% confidence interval 1.21-5.78) and phase of trial (P = 0.009; more likely in phase IV than phase III trials; odds ratio 3.90, 95% confidence interval 1.41-10.83). Trial non-publication was independently associated with blinding status (P = 0.005; more likely in single-blind than double-blind trials; odds ratio 5.63, 95% confidence interval 1.70-18.71), number of centres (P = 0.010; more likely in single-centre than multi-centre trials; odds ratio 2.49, 95% confidence interval 1.25-4.99), phase of trial (P = 0.041; more likely in phase II than phase IV trials; odds ratio 2.88, 95% confidence interval 1.04-7.93) and sponsor category (P = 0.001; more likely in industry-sponsored than university-sponsored trials; odds ratio 5.05, 95% confidence interval 1.87-13.63).

    CONCLUSIONS: There is evidence of non-dissemination bias in randomized trials of interventions for neurodegenerative diseases. Associations with trial discontinuation and non-publication were similar to findings in other diseases. These biases may distort the therapeutic information available to inform clinical practice.

    Matched MeSH terms: Information Dissemination*
  8. Asim Z, Sorooshian S
    Sao Paulo Med J, 2017 08 21;136(1):96-97.
    PMID: 28832811 DOI: 10.1590/1516-3180.2017.0122210517
    Matched MeSH terms: Information Dissemination/ethics*
  9. Nur Ajrun Khalid, Rohana Yusof
    MyJurnal
    Rapid progress of Information Communication Technology (ICT) will accelerate the distribution of
    information from government to the people; however the monopoly of technology ICT services will
    lead to inequality of information distribution in between of normal people and disabled people.
    Embrace with the inequality of ICT distribution directly make the group of disabled people left behind
    at the information age, or the situation also known as digital divide. Hence, this article attempts to
    identify and examine the issues facing by disabled people in order to catch up the fast diffusion of ICT.
    Matched MeSH terms: Information Dissemination
  10. Azrul Ghazali, Sivadass Thiruchelvam, Kamal Nasharuddin Mustapha, Ahmad Kamal Kadir, Fatin Faiqa Norkhairi, Nora Yahya, et al.
    ASM Science Journal, 2018;11(2):117-123.
    MyJurnal
    Series of catastrophic floods that we have witnessed over the last decade in Malaysia have necessitated the adoption of reliable early warning system. Ultimate concern during any event of natural or manmade disaster would be information dissemination to lessen the disaster impact on lives and property. The Bertam Valley incident in the wee hours of 23rd October 2013 has been considered as the game changer of how we view the role of vulnerable communities in facing dam-related disasters. Empowerment of local communities has been considered as vital in disaster management, as they are often the first responders to disaster. Local Community-Based Early Warning System (CBEWS) is a smart mechanism operated by the communities. This study revolves around the actual implementation of such system in Cameron Highlands in the effort of increasing human resilience towards damrelated disasters. While establishing the system, the Bertam Valley community has received support from different individuals and organisations. It is paramount that the community develops and maintains close coordination and strong links with these stakeholders. The performance of early warning systems can be evaluated via key parameters such as timeliness, accuracy, reliability, user friendliness, flexibility, and costs & benefits.
    Matched MeSH terms: Information Dissemination
  11. Lin CJ, Lin HY, Yu CY, Wu CF
    Sains Malaysiana, 2015;44:1721-1728.
    In this paper, an interactively recurrent functional neural fuzzy network (IRFNFN) with fuzzy differential evolution (FDE)
    learning method was proposed for solving the control and the prediction problems. The traditional differential evolution
    (DE) method easily gets trapped in a local optimum during the learning process, but the proposed fuzzy differential
    evolution algorithm can overcome this shortcoming. Through the information sharing of nodes in the interactive layer,
    the proposed IRFNFN can effectively reduce the number of required rule nodes and improve the overall performance of
    the network. Finally, the IRFNFN model and associated FDE learning algorithm were applied to the control system of the
    water bath temperature and the forecast of the sunspot number. The experimental results demonstrate the effectiveness
    of the proposed method.
    Matched MeSH terms: Information Dissemination
  12. Hamzah N, Malim NHAH, Abdullah JM, Sumari P, Mokhtar AM, Rosli SNS, et al.
    Neuroinformatics, 2023 Jul;21(3):589-600.
    PMID: 37344699 DOI: 10.1007/s12021-023-09637-3
    The sharing of open-access neuroimaging data has increased significantly during the last few years. Sharing neuroimaging data is crucial to accelerating scientific advancement, particularly in the field of neuroscience. A number of big initiatives that will increase the amount of available neuroimaging data are currently in development. The Big Brain Data Initiative project was started by Universiti Sains Malaysia as the first neuroimaging data repository platform in Malaysia for the purpose of data sharing. In order to ensure that the neuroimaging data in this project is accessible, usable, and secure, as well as to offer users high-quality data that can be consistently accessed, we first came up with good data stewardship practices. Then, we developed MyneuroDB, an online repository database system for data sharing purposes. Here, we describe the Big Brain Data Initiative and MyneuroDB, a data repository that provides the ability to openly share neuroimaging data, currently including magnetic resonance imaging (MRI), electroencephalography (EEG), and magnetoencephalography (MEG), following the FAIR principles for data sharing.
    Matched MeSH terms: Information Dissemination
  13. Ali A, Al-Rimy BAS, Tin TT, Altamimi SN, Qasem SN, Saeed F
    Sensors (Basel), 2023 Aug 28;23(17).
    PMID: 37687931 DOI: 10.3390/s23177476
    Precision medicine has emerged as a transformative approach to healthcare, aiming to deliver personalized treatments and therapies tailored to individual patients. However, the realization of precision medicine relies heavily on the availability of comprehensive and diverse medical data. In this context, blockchain-enabled federated learning, coupled with electronic medical records (EMRs), presents a groundbreaking solution to unlock revolutionary insights in precision medicine. This abstract explores the potential of blockchain technology to empower precision medicine by enabling secure and decentralized data sharing and analysis. By leveraging blockchain's immutability, transparency, and cryptographic protocols, federated learning can be conducted on distributed EMR datasets without compromising patient privacy. The integration of blockchain technology ensures data integrity, traceability, and consent management, thereby addressing critical concerns associated with data privacy and security. Through the federated learning paradigm, healthcare institutions and research organizations can collaboratively train machine learning models on locally stored EMR data, without the need for data centralization. The blockchain acts as a decentralized ledger, securely recording the training process and aggregating model updates while preserving data privacy at its source. This approach allows the discovery of patterns, correlations, and novel insights across a wide range of medical conditions and patient populations. By unlocking revolutionary insights through blockchain-enabled federated learning and EMRs, precision medicine can revolutionize healthcare delivery. This paradigm shift has the potential to improve diagnosis accuracy, optimize treatment plans, identify subpopulations for clinical trials, and expedite the development of novel therapies. Furthermore, the transparent and auditable nature of blockchain technology enhances trust among stakeholders, enabling greater collaboration, data sharing, and collective intelligence in the pursuit of advancing precision medicine. In conclusion, this abstract highlights the transformative potential of blockchain-enabled federated learning in empowering precision medicine. By unlocking revolutionary insights from diverse and distributed EMR datasets, this approach paves the way for a future where healthcare is personalized, efficient, and tailored to the unique needs of each patient.
    Matched MeSH terms: Information Dissemination
  14. Khan N, Yaqoob I, Hashem IA, Inayat Z, Ali WK, Alam M, et al.
    ScientificWorldJournal, 2014;2014:712826.
    PMID: 25136682 DOI: 10.1155/2014/712826
    Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a data life cycle that uses the technologies and terminologies of Big Data. Future research directions in this field are determined based on opportunities and several open issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal techniques to address Big Data.
    Matched MeSH terms: Information Dissemination
  15. Ahmad T, Sattar K, Akram A
    Saudi J Biol Sci, 2020 Sep;27(9):2287-2292.
    PMID: 32884409 DOI: 10.1016/j.sjbs.2020.06.007
    Background: Social media has become the fastest growing platform for sharing and retrieving information and knowledge, and YouTube is one of the most popular and growing sources of health and educational information video-sharing website. But, videos on this open platform are not peer-assessed, therefore, the accessible data should be adequately assessed. Till date, no exploration and analysis for assessing the credibility and usefulness of Medical professionalism videos available on YouTube are conducted.

    Objective: To analyze the video sources, contents and quality of YouTube videos about the topic of medical professionalism.

    Methods: A systematic search was accomplished on YouTube videos during the period between March 1, 2020 and March 27, 2020. The phrases as significant words used throughout YouTube web search were 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', 'Attributes of professionalism'. The basic information collected for each video included author's/publisher's name, total number of watchers, likes, dislikes and positive and undesirable remarks. The videos were categorized into educationally useful and useless established on the content, correctness of the knowledge and the advices. Different variables were measured and correlated for the data analysis.YouTube website was searched the using keywords 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', and 'Attributes of professionalism'.

    Results: After 2 rounds of screening by the subject experts and critical analysis of all the 137 YouTube videos, only 41 (29.92%) were identified as pertinent to the subject matter, i.e., educational type. After on expert viewing these 41 videos established upon our pre-set inclusion/exclusion criteria, only 17 (41.46%) videos were found to be academically valuable in nature.

    Conclusion: Medical professionalism multimedia videos uploaded by the healthcare specialists or organizations on YouTube provided reliable information for medical students, healthcare workers and other professional. We conclude that YouTube is a leading and free online source of videos meant for students or other healthcare workers yet the viewers need to be aware of the source prior to using it for training learning.

    Matched MeSH terms: Information Dissemination
  16. Cicero A, Meyer D, Shearer MP, AbuBakar S, Bernard K, Carus WS, et al.
    Emerg Infect Dis, 2019 May;25(5).
    PMID: 31002062 DOI: 10.3201/eid2505.181659
    A strategic multilateral dialogue related to biosecurity risks in Southeast Asia, established in 2014, now includes participants from Singapore, Malaysia, Indonesia, Thailand, Philippines, and the United States. This dialogue is conducted at the nonministerial level, enabling participants to engage without the constraints of operating in their official capacities. Participants reflect on mechanisms to detect, mitigate, and respond to biosecurity risks and highlight biosecurity issues for national leadership. Participants have also identified factors to improve regional and global biosecurity, including improved engagement and collaboration across relevant ministries and agencies, sustainable funding for biosecurity programs, enhanced information sharing for communicable diseases, and increased engagement in international biosecurity forums.
    Matched MeSH terms: Information Dissemination
  17. Gupta R, Kanungo P, Dagdee N, Madhu G, Sahoo KS, Jhanjhi NZ, et al.
    Sensors (Basel), 2023 Feb 27;23(5).
    PMID: 36904822 DOI: 10.3390/s23052617
    With continuous advancements in Internet technology and the increased use of cryptographic techniques, the cloud has become the obvious choice for data sharing. Generally, the data are outsourced to cloud storage servers in encrypted form. Access control methods can be used on encrypted outsourced data to facilitate and regulate access. Multi-authority attribute-based encryption is a propitious technique to control who can access encrypted data in inter-domain applications such as sharing data between organizations, sharing data in healthcare, etc. The data owner may require the flexibility to share the data with known and unknown users. The known or closed-domain users may be internal employees of the organization, and unknown or open-domain users may be outside agencies, third-party users, etc. In the case of closed-domain users, the data owner becomes the key issuing authority, and in the case of open-domain users, various established attribute authorities perform the task of key issuance. Privacy preservation is also a crucial requirement in cloud-based data-sharing systems. This work proposes the SP-MAACS scheme, a secure and privacy-preserving multi-authority access control system for cloud-based healthcare data sharing. Both open and closed domain users are considered, and policy privacy is ensured by only disclosing the names of policy attributes. The values of the attributes are kept hidden. Characteristic comparison with similar existing schemes shows that our scheme simultaneously provides features such as multi-authority setting, expressive and flexible access policy structure, privacy preservation, and scalability. The performance analysis carried out by us shows that the decryption cost is reasonable enough. Furthermore, the scheme is demonstrated to be adaptively secure under the standard model.
    Matched MeSH terms: Information Dissemination
  18. Yahya M'F, Wang GM, Nimbalkar S
    Am J Orthod Dentofacial Orthop, 2023 Jul;164(1):97-105.
    PMID: 36890012 DOI: 10.1016/j.ajodo.2022.11.013
    INTRODUCTION: The evaluation of the quality of information (QOI) and clarity of information (COI) among oral health-related videos on the video-streaming Web site YouTube is scarce. This study evaluated QOI and COI regarding temporary anchorage devices contained within videos uploaded by dental professionals (DPs) on YouTube.

    METHODS: YouTube videos were systematically acquired with 4 search terms. The top 50 videos per search term by the number of views were stored in a YouTube account. A set of inclusion/exclusion criteria were applied, videos were assessed for viewing characteristics, a 4-point scoring system (0-3) was applied to evaluate QOI in 10 predetermined domains, and a 3-point scoring system (0-2) was applied to evaluate COI. Descriptive statistical analyses and intrarater and interrater reliability tests were performed.

    RESULTS: Strong intrarater and interrater reliability scores were observed. Sixty-three videos from the top 58 most-viewed DPs were viewed 1,395,471 times (range, 414-124,939). Most DPs originated from the United States (20%), and orthodontists (62%) uploaded most of the videos. The mean number of reported domains was 2.03 ± 2.40 (out of 10). The mean overall QOI score per domain was 0.36 ± 0.79 (out of 3). The "Placement of miniscrews" domain scored highest (1.23 ± 0.75). The "Cost of miniscrews placement" domain scored the lowest (0.03 ± 0.25). The mean overall QOI score per DP was 3.59 ± 5.64 (out of 30). The COI in 32 videos was immeasurable, and only 2 avoided using technical words.

    CONCLUSIONS: The QOI related to temporary anchorage devices contained within videos provided by DPs through the YouTube Web site is deficient, particularly in the cost of placement. Orthodontists should be aware of the importance of YouTube as an information resource and ensure that videos related to temporary anchorage devices contain comprehensive and evidence-based information.

    Matched MeSH terms: Information Dissemination
  19. AlHasan AJMS
    Surgery, 2023 Sep;174(3):744-746.
    PMID: 37419760 DOI: 10.1016/j.surg.2023.05.042
    Surgical journals use videos for educational and promotional purposes. YouTube is a suitable social media platform for sharing videos of journal content. The Surgery journal experience on YouTube can be used to learn important information on the nature of video content, the measurement of performance, and the benefits and challenges of using YouTube to disseminate journal content. Video content can be created to deliver information and infotainment. The online performance of videos can be measured using various metrics on YouTube Analytics, including content views and engagement metrics. There are several benefits to the use of YouTube videos by surgical journals, including the dissemination of reliable information, language versatility and diversity, open access and portability, increased visibility for authors and journals, and the humanization of the journal interface. However, challenges also need to be overcome, including viewer discretion where graphic content is concerned, copyright protection, limitations of Internet connection bandwidth, algorithmic barriers imposed by YouTube itself, and violations of biomedical ethics.
    Matched MeSH terms: Information Dissemination
  20. Subramaniam TS, Lee HL, Ahmad NW, Murad S
    Biotechnol J, 2012 Nov;7(11):1323-7.
    PMID: 23125042 DOI: 10.1002/biot.201200282
    On December 21, 2010, 6000 genetically modified (GM) mosquitoes were released in an uninhabited forest in Malaysia. The purpose of the deliberate release was a limited “marked release and recapture” (MRR) experiment, a standard ecological method in entomology, to evaluate under field conditions, the flight distance and longevity of the sterile male Aedes aegypti strain OX513A(My1), a GM strain. As with any other GM technologies, the release was received with mixed responses. As the scientific community debate over the public engagement strategies for similar GM releases, dengue incidence continues to rise with a heavy toll on morbidity, mortality and healthcare budgets. Meanwhile the wild female Aedes aegypti continues to breed offspring, surviving and evading conventional interventions for vector control.
    Matched MeSH terms: Information Dissemination*
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