Displaying publications 1 - 20 of 103 in total

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  1. Fulltext A collaborative approach for research paper recommender system
    Haruna K, Akmar Ismail M, Damiasih D, Sutopo J, Herawan T
    PLoS One, 2017;12(10):e0184516.
    PMID: 28981512 DOI: 10.1371/journal.pone.0184516
    Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user's expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.
    Matched MeSH terms: Cooperative Behavior*
  2. Fulltext Asia Cohort Consortium: challenges for collaborative research
    Song M, Rolland B, Potter JD, Kang D
    J Epidemiol, 2012;22(4):287-90.
    PMID: 22672913 DOI: 10.2188/jea.je20120024
    In this era of chronic diseases, large studies are essential in investigating genes, environment, and gene-environment interactions as disease causes, particularly when associations are important but not strong. Moreover, to allow expansion and generalization of the results, studies should be conducted in populations outside Western countries. Here, we briefly describe the Asia Cohort Consortium (ACC), a collaborative cancer cohort research project that was first proposed in 2004 and now involves more than 1 million healthy individuals across Asia. There are approximately 50 active members from Bangladesh, China, India, Japan, Korea, Malaysia, Singapore, Taiwan, Thailand, the United States, and elsewhere. To date, the work of the ACC includes 3 articles published in 2011 on the roles of body mass index, tobacco smoking, and alcohol consumption in mortality, diabetes, and cancer of the small intestine. Many challenges remain, including data harmonization, resolution of ethical and legal issues, establishment of protocols for biologic samples and transfer agreements, and funding procurement.
    Matched MeSH terms: Cooperative Behavior*
  3. Fulltext APBioNet-transforming bioinformatics in the Asia-Pacific region
    Khan AM, Tan TW, Schönbach C, Ranganathan S
    PLoS Comput Biol, 2013 Oct;9(10):e1003317.
    PMID: 24204244 DOI: 10.1371/journal.pcbi.1003317
    Matched MeSH terms: Cooperative Behavior
  4. Fulltext Elder Abuse: A Silent Cry
    Esther, E., Shahrul, K., Low, W.Y.
    Malaysian Journal of Psychiatry, 2006;14(1):29-34.
    MyJurnal
    \Elderly abuse exists in our society but is hardly ever reported. This problem often remains undetected because of poor public awareness and lack of knowledge among health care personnel. This article addresses the definition of elderly abuse, characteristics of the abused elderly and their abusers as well as strategies to detect and manage it. Collaboration between health care professionals and government bodies is needed to identify and manage elderly abuse. Ultimately, a legislative "Elder Protective Act" should be implemented to safeguard the rights of our vulnerable elderly.
    Matched MeSH terms: Cooperative Behavior
  5. Fulltext Collaboration at the Departmental, School, National and International Levels at the International Medical University, Kuala Lumpur
    Michael John Rathbone
    International e-Journal of Science, Medicine & Education, 2013;7(11):57-64.
    MyJurnal
    The nature, extent and definition of a collaboration varies between individuals, disciplines, departments and institutions. It depends upon such factors as the people involved, the nature of the research problem, the research environment, the institutional culture and demographic factors. This paper will examine the concept of collaborative research and discuss its place and position in an evolving university.
    Matched MeSH terms: Cooperative Behavior
  6. Fulltext T-DepExp: simulating transitive dependence based coalition formation
    Ashutosh, Kumar Singh, Billy, Pik Lik Lau, Terence, Peng Lian Tan
    Pertanika Journal of Science & Technology, 2015;23(1):105-117.
    MyJurnal
    In this paper, we introduce T-DepExp system to simulate the transitive dependence based coalition formation (CF). It is a multi-agent based simulation (MABS) tool that aims to enhance cooperation between agents through transitive dependence. Previously, the transitive dependence was introduced by An and his colleagues for expressing the indirect dependence between agents in their cooperation. However, it did not receive much attention. Although it has a few problems need to be addressed, we try to propose our own mechanism to increase the efficiency of the transitive dependence based CF. To simulate MAS dependence relationship, we have included two fundamental dependence relationships in this MABS tool, which are AND-Dependence and OR-Dependence. In addition, the architecture of the T-DepExp system is presented and discussed. It allows possible integration of other features such as budget mechanism and trust model. Subsequently, hypothesis for the experiments and experimental setup are explained. The overall system will be demonstrated for its functionality and the experimental results will also be discussed.
    Matched MeSH terms: Cooperative Behavior
  7. The use of jigsaw learning technique in teaching medical students prescribing skills
    Sim SM, Foong CC, Tan CH, Lai PS, Chua SS, Mohazmi M
    Med Teach, 2014 Feb;36(2):182.
    PMID: 24156275 DOI: 10.3109/0142159X.2013.848977
    Matched MeSH terms: Cooperative Behavior*
  8. A framework for cohesive healthcare coalition formation
    Cheah YN, Chong YH, Neoh SL
    Stud Health Technol Inform, 2006;124:575-80.
    PMID: 17108579
    The mobilisation of cohesive and effective groups of healthcare human resource is important in ensuring the success of healthcare organisations. However, forming the right team or coalition in healthcare organisations is not always straightforward due to various human factors. Traditional coalition formation approaches have been perceived as 'materialistic' or focusing too much on competency or pay-off. Therefore, to put prominence on the human aspects of working together, we present a cohesiveness-focused healthcare coalition formation methodology and framework that explores the possibilities of social networks, i.e. the relationship between various healthcare human resources, and adaptive resonance theory.
    Matched MeSH terms: Cooperative Behavior*
  9. An Integrated Systems Approach is Needed to Ensure the Sustainability of Antibiotic Effectiveness for Both Humans and Animals
    So AD, Shah TA, Roach S, Ling Chee Y, Nachman KE
    J Law Med Ethics, 2015;43 Suppl 3:38-45.
    PMID: 26243242 DOI: 10.1111/jlme.12273
    The growing demand for animal products and the widespread use of antibiotics in bringing food animals to market have heightened concerns over cross-species transmission of drug resistance. Both the biology and emerging epidemiology strongly support the need for global coordination in stemming the generation and propagation of resistance, and the patchwork of global and country-level regulations still leaves significant gaps. More importantly, discussing such a framework opens the door to taking modular steps towards solving these challenges - for example, beginning among targeted parties rather than all countries, tying accountability to financial and technical support, or taxing antibiotic use in animals to deter low-value usage of these drugs. An international agreement would allow integrating surveillance data collection, monitoring and enforcement, research into antibiotic alternatives and more sustainable approaches to agriculture, technical assistance and capacity building, and financing under the umbrella of a One Health approach.
    Matched MeSH terms: Cooperative Behavior*
  10. Fulltext A novel state space reduction algorithm for team formation in social networks
    Rehman MZ, Zamli KZ, Almutairi M, Chiroma H, Aamir M, Kader MA, et al.
    PLoS One, 2021;16(12):e0259786.
    PMID: 34855771 DOI: 10.1371/journal.pone.0259786
    Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dataset. Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF's. In SSR-TF, communication cost finds the possibility of collaboration between researchers. The graph reduction scales the large data to only appropriate skills and the experts, resulting in real-time extraction of experts for collaboration. This approach is tested on five organic and benchmark datasets, i.e., UMP, DBLP, ACM, IMDB, and Bibsonomy. The SSR-TF algorithm is able to build cost-effective teams with the most appropriate experts-resulting in the formation of more communicative teams with high expertise levels.
    Matched MeSH terms: Cooperative Behavior*
  11. Fulltext Academic performance and personal experience of local, international, and collaborative exchange students enrolled in an Australian pharmacy program
    Davey AK, Grant GD, Anoopkumar-Dukie S
    Am J Pharm Educ, 2013 Sep 12;77(7):148.
    PMID: 24052651 DOI: 10.5688/ajpe777148
    To assess the academic performance and experiences of local, international, and collaborative exchange students enrolled in a 4-year Australian bachelor of pharmacy degree program.
    Matched MeSH terms: Cooperative Behavior*
  12. Fulltext Isu dan cabaran dalam memberi perkhidmatan kesihatan semasa banjir di kawasan pedalaman – pengalaman daerah Kluang
    Maimon, A.K., Hamidah, A.L., Zuhaida, A.J.
    Malaysian Journal of Community Health, 2009;15(3):68-74.
    MyJurnal
    Infrastructure damage due to land slide, fallen bridge and broken and submerged roads become the main constraint in providing good medical services to the flood victims and isolated places in the remote area. The health care provider has to face a huge challenge at delivering the medical services to the flood victims in Kluang district especially to the remote and isolated areas. This gives us a meaningful and valuable experience in managing such problem. From the true experience of the medical and health team and also the flood victims, few problems and major issues were detected. Other than the environmental factor, human error is another major area of concern of which the failure to interact with the District Flood Operation Centre leading to miscommunication resulting in delay of management of the patient. In smaller proportion, poor inter-agency collaboration and lacking of good equipment was also noted to be affecting the health care services. The issues raised here will hopefully be making better in managing disaster in the future.
    Matched MeSH terms: Cooperative Behavior
  13. Fulltext Preparing nursing students for interprofessional learning
    Jalina Karim, Nabishah Mohamad, John HV Gilbert, Ismail Saibon, Subhan Thamby Mohd Meerah, Hamidah Hassan, et al.
    Education in Medicine Journal, 2014;6(2):27-32.
    MyJurnal
    Introduction: Teaching strategy for nursing students need to be varied for the future preparation and to increase confident level in delivering quality care to patients. Interprofessional learning (IPL) is a way to encourage collaboration among health professional teams that will drive them to collaborate with, from and about other profession and thus, it allow students to have greater knowledge. Currently, they are unable to learn together during the clinical posting due to professional boundaries. Objective: To explore nursing student knowledge and perception on interprofessional learning. Method: This paper presents a focus group discussion with a group of nursing students (n= 8). A semi structured guide was used and focused on knowledge, experiences and benefit related to IPL. Result: Data was analysed and four major themes emerged; 1. learning with, from and about other health professionals, 2. communication skills, 3. teamwork and 4. future preparation. Conclusion: This study suggested that the interprofessional learning in the teaching and learning strategy should be introduced to the nursing students as to involve them with interprofessional learning and extend their understanding on other health professionals roles. In addition, it is an opportunity for them to work collaboratively with other health professionals.
    Matched MeSH terms: Cooperative Behavior
  14. Fulltext Development and application of coupled system dynamics and game theory: A dynamic water conflict resolution method
    Zomorodian M, Lai SH, Homayounfar M, Ibrahim S, Pender G
    PLoS One, 2017;12(12):e0188489.
    PMID: 29216200 DOI: 10.1371/journal.pone.0188489
    Conflicts over water resources can be highly dynamic and complex due to the various factors which can affect such systems, including economic, engineering, social, hydrologic, environmental and even political, as well as the inherent uncertainty involved in many of these factors. Furthermore, the conflicting behavior, preferences and goals of stakeholders can often make such conflicts even more challenging. While many game models, both cooperative and non-cooperative, have been suggested to deal with problems over utilizing and sharing water resources, most of these are based on a static viewpoint of demand points during optimization procedures. Moreover, such models are usually developed for a single reservoir system, and so are not really suitable for application to an integrated decision support system involving more than one reservoir. This paper outlines a coupled simulation-optimization modeling method based on a combination of system dynamics (SD) and game theory (GT). The method harnesses SD to capture the dynamic behavior of the water system, utilizing feedback loops between the system components in the course of the simulation. In addition, it uses GT concepts, including pure-strategy and mixed-strategy games as well as the Nash Bargaining Solution (NBS) method, to find the optimum allocation decisions over available water in the system. To test the capability of the proposed method to resolve multi-reservoir and multi-objective conflicts, two different deterministic simulation-optimization models with increasing levels of complexity were developed for the Langat River basin in Malaysia. The later is a strategic water catchment that has a range of different stakeholders and managerial bodies, which are however willing to cooperate in order to avoid unmet demand. In our first model, all water users play a dynamic pure-strategy game. The second model then adds in dynamic behaviors to reservoirs to factor in inflow uncertainty and adjust the strategies for the reservoirs using the mixed-strategy game and Markov chain methods. The two models were then evaluated against three performance indices: Reliability, Resilience and Vulnerability (R-R-V). The results showed that, while both models were well capable of dealing with conflict resolution over water resources in the Langat River basin, the second model achieved a substantially improved performance through its ability to deal with dynamicity, complexity and uncertainty in the river system.
    Matched MeSH terms: Cooperative Behavior
  15. Fulltext Tackling dementia globally: the Global Dementia Prevention Program (GloDePP) collaboration
    Chan KY, Adeloye D, Asante KP, Calia C, Campbell H, Danso SO, et al.
    J Glob Health, 2019 Dec;9(2):020103.
    PMID: 31893025 DOI: 10.7189/jogh.09.020103
    Matched MeSH terms: Cooperative Behavior
  16. Professional pharmacist organizations--their role in the development of Australian pharmacists within General Practitioner Super Clinics
    Poulsen JH, Kaae S, Mak V
    Res Social Adm Pharm, 2014 Sep-Oct;10(5):807-8.
    PMID: 24986542 DOI: 10.1016/j.sapharm.2014.05.002
    Matched MeSH terms: Cooperative Behavior
  17. Fulltext Developing consensus measures for global programs: lessons from the Global Alliance for Chronic Diseases Hypertension research program
    Riddell MA, Edwards N, Thompson SR, Bernabe-Ortiz A, Praveen D, Johnson C, et al.
    Global Health, 2017 03 15;13(1):17.
    PMID: 28298233 DOI: 10.1186/s12992-017-0242-8
    BACKGROUND: The imperative to improve global health has prompted transnational research partnerships to investigate common health issues on a larger scale. The Global Alliance for Chronic Diseases (GACD) is an alliance of national research funding agencies. To enhance research funded by GACD members, this study aimed to standardise data collection methods across the 15 GACD hypertension research teams and evaluate the uptake of these standardised measurements. Furthermore we describe concerns and difficulties associated with the data harmonisation process highlighted and debated during annual meetings of the GACD funded investigators. With these concerns and issues in mind, a working group comprising representatives from the 15 studies iteratively identified and proposed a set of common measures for inclusion in each of the teams' data collection plans. One year later all teams were asked which consensus measures had been implemented.

    RESULTS: Important issues were identified during the data harmonisation process relating to data ownership, sharing methodologies and ethical concerns. Measures were assessed across eight domains; demographic; dietary; clinical and anthropometric; medical history; hypertension knowledge; physical activity; behavioural (smoking and alcohol); and biochemical domains. Identifying validated measures relevant across a variety of settings presented some difficulties. The resulting GACD hypertension data dictionary comprises 67 consensus measures. Of the 14 responding teams, only two teams were including more than 50 consensus variables, five teams were including between 25 and 50 consensus variables and four teams were including between 6 and 24 consensus variables, one team did not provide details of the variables collected and two teams did not include any of the consensus variables as the project had already commenced or the measures were not relevant to their study.

    CONCLUSIONS: Deriving consensus measures across diverse research projects and contexts was challenging. The major barrier to their implementation was related to the time taken to develop and present these measures. Inclusion of consensus measures into future funding announcements would facilitate researchers integrating these measures within application protocols. We suggest that adoption of consensus measures developed here, across the field of hypertension, would help advance the science in this area, allowing for more comparable data sets and generalizable inferences.

    Matched MeSH terms: Cooperative Behavior
  18. Performance measures of strategic university-industry collaborations in Malaysia: dyadic multicases approach
    Chong, Aik Lee, Sakaria Abas, Yee, Angelina Seow Voon
    CREAM : Current Research in Malaysia (Penyelidikan Terkini di Malaysia), 2013;2(1):5-24.
    MyJurnal
    Collaboration without performance measures is likened to a football game without a scoreboard. Traditionally, universities have operated in isolation industry and vice versa. University and industry were formed with different agenda and objectives. Fundamentally, a university is a nonprofit oriented organisation while industry is profit oriented. However, industrialisation and egalitarian awakening in the early 20'" century gradually brought university and industry together. Currently, university and industry are increasingly seeking avenues to collaborate strategically. Nevertheless, 50% to 70% of collaborative efforts fail prematurely due to the lack of performance measures. In light of that, there is a need to search for a set of holistic performance measures. Therefore, this study is undertaken to determine the performance measures of strategic university industry collaborations in Malaysia using dyadic multicases approach. The researcher analyses multiple cases from the perspectives of university and industry within a bounded system via qualitative research methodology. Interviews respondents were from university and industry. From the 68 interviews conducted, university and industry respondents shared their experiences on the need for performance measures to include trust, commitment, enterprise, communication, complementary, flexibility, commercialisation and resources on top of conventional performance measures like agreed objectives, timelines, financial indicators and reporting. With that, a set of holistic performance measures is established from interviews. The main contributions of the research findings are: (i) to policy-making for the Ministry of Higher Education of Malaysia; and (ii) to the body of knowledge in investigating the performance measures in satisfactory performance of strategic university-industry collaboration.
    Matched MeSH terms: Cooperative Behavior
  19. Facilitating the development of self directed learning through the design of an e-socioconstructivist learning environment (eSCLE)
    Foo, Sze-yeng, Raja Maznah Raja Hussain
    CREAM : Current Research in Malaysia (Penyelidikan Terkini di Malaysia), 2013;2(1):139-161.
    MyJurnal
    To help adults learners stay competitive in the changing work environments of the 21st century, the teaching and learning of adult learners ought to transition from the traditional didactic school of education to embrace self-directed and social forms of learning. This study proposes a conceptual framework of a mediated activity system in developing the e-socioconstructivist learning environment (eSCLE); which is a learner-centred environment incorporating the design of a physical and virtual learning space conducive for constructing knowledge and building upon existing knowledge in collaboration with others. The design of the eSCLE is a preliminary research attempt to develop instructional learning environments that reflect the unstructured seamless nature of lifelong self-directed learning. It was conducted among a cohort of Master of Instructional Technology (MIT) students enrolled in the Instructional Design and Development (IDD) Course in a local Higher Institution of Learning. Findings from survey questionnaires, content analysis, observation and interview reveal systemic tensions faced by learners in self-directing their learning in the eSCLE where it is suggested that appropriate balance and discretion in managing conflicting situations is needed. The integration of web-based technology is found to be able to scaffold self-directed learning as collaborative mediating tools where functional roles of both instructor and learner-determined web tools enable self-directed actions. Finally, the designed eSCLE is able to facilitate the development of self-directed learning as learners transition through various self-directed learning phases in a steep learning curve, towards continuous lifelong learning.
    Matched MeSH terms: Cooperative Behavior
  20. Fulltext Isu dan cabaran yang dihadapi oleh pasukan perubatan dan kesihatan semasa bencana banjir di daerah Muar dan Keluang Johor
    Zuhaida, A.J., Maznisham, M.S.
    Malaysian Journal of Community Health, 2009;15(3):60-67.
    MyJurnal
    Introduction : Flood disaster in Johor started at the end of 2006 until the early year of 2007 causing the distruction of property and human life and it was the worse flood disaster in the history of Malaysia. The Muar and Kluang Health Office had been taken all the measures in the District Plan of Action for flood disaster in the early phase of the flood. Management of the Health and Medical team was one of the measures taken for the deployment of staff systematically and optimumly use of man power during a disaster.
    Metodology : The objective for this article is to share the experience regarding human resource management during flood disaster. Data collected base on flood activities rosters used by health staff during morning briefing, analysis of record and daily flood report, interviewing the staff and flood victim involved regarding the experience and challengers they face and lastly by observing the services given to flood victim during the disasters.
    Finding : There were 41 Medical and Health Team formed and responsible at 108 flood relived centre homing 26,824 flood victims in Muar District while in Kluang, 21 Medical and health Team were providing services in 60 flood relieve centre with 36,126 flood victims. All of the activities conducted by the Medical and Health team were coordinated by the district flood operation centre. District of Muar had been receiving 16 additional staff from other state while 34 additional staff had been providing services in Kluang. Challengers that had been identified include shortage of human resource compared to the increasing need and task during the flood disaster, shortage of personal protective equipments, frequent changers and inconsistency in the format use during flood reporting and lack of psychosocial support and motivation among the staff involved in the flood disaster operation.
    Conclusion : Partnership among other department are very importance and the collaboration between them were very good.
    Matched MeSH terms: Cooperative Behavior
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