Displaying publications 1 - 20 of 54 in total

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  1. Fulltext The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis
    Abbasi GA, Tiew LY, Tang J, Goh YN, Thurasamy R
    PLoS One, 2021;16(3):e0247582.
    PMID: 33684120 DOI: 10.1371/journal.pone.0247582
    In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, particularly in emerging markets like Malaysia. The purpose of the study is to examine whether the application of deep learning-based dual-stage Partial Least Square-Structural Equation Modelling (PLS-SEM) & Artificial Neural Network (ANN) analysis enable better in-depth research results as compared to single-step PLS-SEM approach and to excavate factors which can predict behavioural intention to adopt cryptocurrency. The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model were extended with the inclusion of trust and personnel innovativeness. The model was further validated by introducing a new path model compared to the original UTAUT2 model and the moderating role of personal innovativeness between performance expectancy and price value, with a sample of 314 respondents. Contrary to previous technology adoption studies that used PLS-SEM & ANN as single-stage analysis, this study further enhanced the analysis by applying a deep learning-based dual-stage PLS-SEM and ANN method. The application of deep learning-based dual-stage PLS-SEM & ANN analysis is a novel methodological approach, detecting both linear and non-linear associations among constructs. At the same time, it is regarded as a superior statistical approach as compared to traditional hybrid shallow SEM & ANN single-stage analysis. Also, sensitivity analysis provides normalised importance using multi-layer perceptron with the feed-forward-back-propagation algorithm. Furthermore, the deep learning-based dual-stage PLS-SEM & ANN revealed that trust proved to be the strongest predictor in driving user intention. The introduction of this new methodology and the theoretical contribution opens the vistas of the extant body of knowledge in technology-adoption related literature. This study also provides theoretical, practical and methodological contributions.
    Matched MeSH terms: Trust
  2. Fulltext Should doctors apologize and disclose medical errors?
    Aimi Nadia Mohd Yusof
    Medical Health Reviews, 2009;2009(2):5-16.
    MyJurnal
    No vaccination is available to provide doctors with the immunity from errors and mistakes. Humans make mistakes everyday and eventually doctors will make mistakes or errors during their practice. Therefore, knowing how to handle the mistakes is crucial in improving patient safety and management. Disclosure of errors can be argued to play a significant role in respecting the patients’ rights and interest. We need to know that in a doctor-patient relationship, trust and vulnerability exist. If errors occur and doctors try to keep patients away from the truth, patients may no longer maintain their trust and this could lead to a negative turn in the relationship. Moreover, if errors are disclosed, doctors then may face a legal and ethical dilemma on whether to apologize for the errors made. This issue of apology has created debates among health professionals and lawyers in searching for the best answer. Apology can be a powerful tool to reconcile relationships but at the same time can also be a tool of deception.
    Matched MeSH terms: Trust
  3. Factors influencing stakeholders attitudes toward genetically modified aedes mosquito
    Amin L, Hashim H
    Sci Eng Ethics, 2015 Jun;21(3):655-81.
    PMID: 24906652 DOI: 10.1007/s11948-014-9557-5
    Dengue fever is a debilitating and infectious disease that could be life-threatening. It is caused by the dengue virus which affects millions of people in the tropical area. Currently, there is no cure for the disease as there is no vaccine available. Thus, prevention of the vector population using conventional methods is by far the main strategy but has been found ineffective. A genetically modified (GM) mosquito is among the favoured alternatives to curb dengue fever in Malaysia. Past studies have shown that development and diffusion of gene technology products depends heavily upon public acceptance. The purpose of this study is to identify the relevant factors influencing stakeholders' attitudes toward the GM Aedes mosquito and to analyse the relationships between all the factors using the structural equation model. A survey was carried out on 509 respondents from various stakeholder groups in the Klang Valley region of Malaysia. Results of the survey have confirmed that public perception towards complex issues such as gene technology should be seen as a multi-faceted process. The perceived benefit-perceived risk balance is very important in determining the most predominant predictor of attitudes toward a GM mosquito. In this study the stakeholders perceived the benefit of the GM mosquito as outweighing its risk, translating perceived benefit as the most important direct predictor of attitudes toward the GM mosquito. Trust in key players has a direct influence on attitudes toward the GM mosquito while moral concern exhibited an indirect influence through perceived benefits. Other factors such as attitudes toward technology and nature were also indirect predictors of attitudes toward the GM mosquito while religiosity and engagement did not exhibited any significant roles. The research findings serve as a useful database to understand public acceptance and the social construct of public attitudes towards the GM mosquito to combat dengue.
    Matched MeSH terms: Trust
  4. Fulltext Determinants of the willingness to participate in biobanking among Malaysian stakeholders in the Klang Valley
    Amin L, Hashim H, Mahadi Z, Ismail K
    BMC Med Res Methodol, 2018 12 05;18(1):163.
    PMID: 30518344 DOI: 10.1186/s12874-018-0619-2
    BACKGROUND: The demand in biobanking for the collection and maintenance of biological specimens and personal data from civilians to improve the prevention, diagnosis and treatment of diseases has increased notably. Despite the advancement, certain issues, specifically those related to privacy and data protection, have been critically discussed. The purposes of this study are to assess the willingness of stakeholders to participate in biobanking and to determine its predictors.

    METHODS: A survey of 469 respondents from various stakeholder groups in the Klang Valley region of Malaysia was carried out. Based on previous research, a multi-dimensional instrument measuring willingness to participate in biobanking, and its predictors, was constructed and validated. A single step Structural Equation Modelling was performed to analyse the measurements and structural model using the International Business Machines Corporation Software Package for Social Sciences, Analysis of Moment Structures (IBM SPSS Amos) version 20 with a maximum likelihood function.

    RESULTS: Malaysian stakeholders in the Klang Valley were found to be cautious of biobanks. Although they perceived the biobanks as moderately beneficial (mean score of 4.65) and were moderately willing to participate in biobanking (mean score of 4.10), they professed moderate concern about data and specimen protection issues (mean score of 4.33). Willingness to participate in biobanking was predominantly determined by four direct predictors: specific application-linked perceptions of their benefits (β = 0.35, p trust in key players (β = 0.20, p trust in key players) as well as indirect factors are well accounted for.
    Matched MeSH terms: Trust
  5. Fulltext Perceived benefits and risks: A survey data set towards Wolbachia-infected Aedes Mosquitoes in Klang Valley
    Arham AF, Amin L, Mustapa MAC, Mahadi Z, Arham AF, Yaacob M, et al.
    Data Brief, 2020 Oct;32:106262.
    PMID: 32944607 DOI: 10.1016/j.dib.2020.106262
    Perceived Benefits and Risks: A survey data set towards Wolbachia-infected Aedes Mosquitoes in the Klang Valley, Malaysia. Introduction: The paper presents data collected using measures of perceived benefits, perceived risks, trust in key players, attitude towards nature versus material, attitude towards technology, religiosity, and attitude towards the Wolbachia-infected Aedes mosquitoes (WiAM) technique. The validated questionnaires were used to randomly survey targeted stakeholders in the Klang Valley, Malaysia, who had been asked to voluntarily participate in face-to-face interviews. Completed questionnaires were received from 399 respondents (adults above 18 years old) and comprised two stakeholder groups: scientists (n = 202), and the public (n = 197). The detailed findings serve numerous opportunities to examine the social acceptance of Wolbachia-infected Aedes mosquitoes, to ensure the development of policy and action plans, and to encourage further study by other researchers interested in the measures and data presented.
    Matched MeSH terms: Trust
  6. Fulltext Stakeholders' attitudes to outdoor residual spraying technique for dengue control in Malaysia: A PLS-SEM approach
    Arham AF, Amin L, Mustapa MAC, Mahadi Z, Yaacob M, Ibrahim M
    PLoS Negl Trop Dis, 2021 Jun;15(6):e0009493.
    PMID: 34185785 DOI: 10.1371/journal.pntd.0009493
    Outdoor Residual Spraying (ORS) technique is a complementary preventive measure for dengue. The alarming number of dengue cases in Malaysia requires an alternative method to control dengue besides the traditional method such as fogging. However, the introduction of new technologies depends on social acceptance. Therefore, this study was important to determine the factors that influence stakeholders' attitudes towards the ORS and the moderating factor. A validated instrument was used to randomly interview 399 respondents representing two stakeholder groups which consist of scientists, and the public in Klang Valley, Malaysia. The findings revealed that the stakeholders claimed to have a high degree of religiosity, a high level of trust in the key players, perceived ORS as having high benefits, and displayed highly positive attitudes towards the ORS. The attitudes model towards the ORS model was developed using the SmartPLS software version. The perceived benefit was endorsed as the most important direct predictor of attitudes towards the ORS (ß = 0.618, P<0.001), followed by trust in the key players (ß = 0.151, P<0.001). It is also interesting to note that religiosity served as a moderator for the association between perceived benefit (ß = 0.075, P = 0.024) and perceived risk (ß = 0.114, P = 0.006) with attitudes towards the ORS. The identified predictor factors of stakeholders' attitudes toward the ORS and the moderating factor can serve as indicators for social acceptance of ORS in developing countries. These indicators can help the policymakers in decision making to implement this technique.
    Matched MeSH terms: Trust
  7. 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: Trust
  8. Fulltext The Belt-and-Road Initiative as a paradigm change for European Union-China security cooperation? The case of Central Asia
    Barton B
    Asia Eur J, 2021 Apr 27.
    PMID: 33935611 DOI: 10.1007/s10308-021-00606-6
    Security cooperation has increasingly come to prominence in the realm of relations between the European Union (EU) and China as a policy area primed for fostering deeper bilateral strategic convergence. Where leaders on both sides have talked up security cooperation particularly by pointing to recent successes (on counter-piracy, Iran), EU-China scholars have largely qualified these as exceptions to the rule. The rule being that the gulf between Brussels and Beijing continues to be too wide on norms, geopolitics and trust for them to live up to their ambitious rhetoric on security cooperation. Taking this into consideration, this paper sets out to examine whether the Belt-and-Road Initiative (BRI) - given its magnitude and high stakes - can change the dynamics of bilateral security cooperation. Looking at this through the lens of three distinct theories applicable to the study of EU-China relations, it would appear that even bilateral security overlap pertaining to the BRI cannot reverse these deeply entrenched behavioural patterns.
    Matched MeSH terms: Trust
  9. Trust in Supervisor and Job Engagement: Mediating Effects of Psychological Safety and Felt Obligation
    Basit AA
    J Psychol, 2017 Nov 17;151(8):701-721.
    PMID: 29043913 DOI: 10.1080/00223980.2017.1372350
    In the social context of job engagement, the role of trust in supervisor in predicting engagement of employees has received attention in research. Very limited research, however, has investigated the mechanisms mediating this dynamic relationship. To address this important gap in knowledge, the aim of this study was to examine psychological safety and felt obligation as two psychological mechanisms mediating the effect of trust in supervisor on job engagement. Drawing from job engagement and social exchange theories, the mediating roles of psychological safety and felt obligation in the trust-engagement relationship were empirically investigated in the Malaysian context. Using self-report questionnaires, data were collected from 337 nurses employed in a public hospital located near Kuala Lumpur, Malaysia. Results fully supported the proposed serial multiple mediator model. Trust in supervisor was indirectly related to job engagement via psychological safety followed by felt obligation. This study provides empirical evidence that trust in supervisor makes employees feel psychologically safe to employ and express their selves in their job roles. This satisfaction of the psychological safety need is interpreted by employees as an important socioemotional benefit that, in turn, makes them feel obligated to pay back to their organization through their enhanced level of job engagement. Implications for theory and practice were discussed.
    Matched MeSH terms: Trust*
  10. Fulltext A Trusted Reputation Management Scheme for Cross-Chain Transactions
    Chen K, Lee LF, Chiu W, Su C, Yeh KH, Chao HC
    Sensors (Basel), 2023 Jun 29;23(13).
    PMID: 37447883 DOI: 10.3390/s23136033
    Blockchain has become a well-known, secured, decentralized datastore in many domains, including medical, industrial, and especially the financial field. However, to meet the requirements of different fields, platforms that are built on blockchain technology must provide functions and characteristics with a wide variety of options. Although they may share similar technology at the fundamental level, the differences among them make data or transaction exchange challenging. Cross-chain transactions have become a commonly utilized function, while at the same time, some have pointed out its security loopholes. It is evident that a secure transaction scheme is desperately needed. However, what about those nodes that do not behave? It is clear that not only a secure transaction scheme is necessary, but also a system that can gradually eliminate malicious players is of dire need. At the same time, integrating different blockchain systems can be difficult due to their independent architectures, and cross-chain transactions can be at risk if malicious attackers try to control the nodes in the cross-chain system. In this paper, we propose a dynamic reputation management scheme based on the past transaction behaviors of nodes. These behaviors serve as the basis for evaluating a node's reputation to support the decision on malicious behavior and enable the system to intercept it in a timely manner. Furthermore, to establish a reputation index with high precision and flexibility, we integrate Particle Swarm Optimization (PSO) into our proposed scheme. This allows our system to meet the needs of a wide variety of blockchain platforms. Overall, the article highlights the importance of securing cross-chain transactions and proposes a method to prevent misbehavior by evaluating and managing node reputation.
    Matched MeSH terms: Trust*
  11. 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: Trust
  12. Fulltext Responding to the COVID-19 Pandemic in Developing Countries: Lessons from Selected Countries of the Global South
    Chowdhury AZ, Jomo KS
    Development (Rome), 2020 Nov 10.
    PMID: 33192031 DOI: 10.1057/s41301-020-00256-y
    Reviewing selected policy responses in Asia and South America, this paper draws pragmatic lessons for developing countries to better address the COVID-19 pandemic. It argues that not acting quickly and adequately incurs much higher costs. So-called 'best practices', while useful, may be inappropriate, especially if not complemented by effective and suitable socio-economic measures. Public understanding, support and cooperation, not harsh and selective enforcement of draconian measures, are critical for successful implementation of containment strategies. This requires inclusive and transparent policy-making, and well-coordinated and accountable government actions that build and maintain trust between citizens and government. In short, addressing the pandemic crisis needs 'all of government' and 'whole of society' approaches under credible leadership.
    Matched MeSH terms: Trust
  13. Fulltext Interpersonal touch: the lost art of mankind - a review
    Choy, H.H., Khalib, A.L.
    Malaysian Journal of Public Health Medicine, 2013;13(1):48-58.
    MyJurnal
    Surprisingly little was known about the importance of touch in life which was placed at a lower emphasis than the rest-namely visual, auditory, olfactory sense and etc. This writing aimed to decipher the significances of interpersonal touch, its culture, practices, barriers and challenges, which were then conveyed to the public as a form of health promotion. Methodology includes narrative review where the suitable literatures used were searched using ScienceDirect database under the keywords of “Interpersonal Touch”, “Oxytocin” and “Touch”. In this review, we have highlighted some of the most critical points which should have been promoted to the public. For example, touch satisfies individual psychosomatic and psychosocial needs. It forms a non-verbal communication culture which interacts about emotions, trust, compliance and more. Furthermore, it has been linked to the secretion of multifunctional bioactive chemical-oxytocin which was well-known in its therapeutic advantages for a wide range of commonest chronic diseases and social ills. Although some dysfunctional consequences may be resulted, incorporating genuine interpersonal touch into today’s efforts is undeniably viewed as a good option in solving many social problems.
    Matched MeSH terms: Trust
  14. Fulltext Investigating revisit intention of medical tourists in China through nutritional knowledge, perceived medical quality, and trust in the physiologist: A recommendation on health tourism policy measures
    Fengmin Z, Baijun W, Jiangtao B, Li L, Patwary AK
    Front Public Health, 2022;10:893497.
    PMID: 36091519 DOI: 10.3389/fpubh.2022.893497
    Good medical care has long been a top priority in health tourism to keep the flow of visitors coming for medical treatment. Medical tourism encompasses a range of treatments, from basic check-ups to surgical operations. For its friendly character and high quality of service, China has earned a reputation as one of Asia's top destinations for health tourism. Along with India and Taiwan, Japan, Thailand, and South Korea are China's top tourism destinations. Considering the above fact, this study aims to examine the influence of nutritional knowledge, perceived medical quality, and trust in physiologists on revisiting the intention of medical tourists in China. This study is cross-sectional and follows a quantitative approach. The researchers used questionnaires as a survey tool to obtain information from the respondents. The respondents of this chosen international tourists in China who come for medical treatment purposes. A systematic random sampling technique was used to select the respondents, and 315 usable responses were collected from the respondents and proceeded with further analysis. The study conducted structural equation modeling using Smart PLS version 3. The results found that nutritional knowledge, perceived medical quality, and trust in physiologists significantly influence the revisit intention of medical tourists in China.
    Matched MeSH terms: Trust
  15. Trust in physician among patients with type 2 diabetes mellitus in Luyang Health Clinic, Sabah and its association with treatment adherence and glycaemic control
    Flecia K, Mohd FA
    Med J Malaysia, 2023 May;78(3):329-335.
    PMID: 37271842
    INTRODUCTION: A patient's trust in their physician is associated with their self-reported health outcome. However, the relationship between trust in physician with therapeutic and health outcome has not been adequately explored. Therefore, this study aims to assess the level of trust in physician among type 2 diabetes mellitus patients and its association with treatment adherence and glycaemic control.

    MATERIALS AND METHODS: A cross-sectional study was conducted in Luyang Health Clinic from 1st June 2020 to 3rd September 2020. A self-interviewed questionnaire comprises of three sections; sociodemographic, Wake Forest Physician Trust Scale (WFS) and Adherence to Refills and Medications Scale (ARMS) was completed by 281 respondents. Glycaemic control is based on the latest Hba1c profile of the respondents. Descriptive and nonparametric bivariate analysis were performed using IBM SPSS version 26.

    RESULTS: The median (IQR) level of trust in physician was 43(8) out of a possible score range of 10 to 50. Trust in physician was correlated with treatment adherence (r=-0.12, p=0.048). There was no significant association between trust in physician with sociodemographic factors, which include age (p=0.33), gender (p=0.46), ethnicity (p=0.70), education level (p=0.50), and household income (p=0.37). Similarly, there was no significant association between the level of trust in physician with glycaemic control (p=0.709).

    CONCLUSION: In conclusion, trust in physician was associated with treatment adherence but not with glycaemic control. In our local context, the glycaemic control could be due to other factors. Further studies should include a multicentre population to assess other potential factors that could contribute to glycaemic control.

    Matched MeSH terms: Trust
  16. The effects of reciprocity, type of relationship, and culture on relationship processes
    Gertrude C Ah Gang G, Stukas AA
    Jurnal Psikologi Malaysia, 2015;olume 29:20-31.
    Equity theory suggests that perceiving equity leads to better relationship outcomes than perceiving inequity. However, cultural and relationship differences in tolerance for inequity have been found, suggesting that those from more individualistic cultures may have less tolerance for inequity with friends than those from more collectivistic cultures, with the latter group discriminating more clearly in their reactions to friends and strangers. In our first study, Kadazandusun (N=282) and Australian (N=255) participants evaluated their actual reciprocity in social support with a close friend. In our second study, 103 South East Asians and 128 Australians were randomly assigned to respond to a scenario presenting equity or inequity (underbenefit or overbenefit) with either a close friend or stranger. Study 1 found that participants from both cultures reported reduced desires for future interaction, positive feelings and closeness when they experienced under-benefit as compared to over-benefit or equity. In Study 2, participants from both cultures also reported reduced desires for future interaction, positive feelings and trust when there was inequity and reported a more negative reaction to a stranger than a close friend. These findings are consistent with equity theory and support its cross-cultural applicability.
    Matched MeSH terms: Trust
  17. Fulltext Effects of Robot Facial Characteristics and Gender in Persuasive Human-Robot Interaction
    Ghazali AS, Ham J, Barakova EI, Markopoulos P
    Front Robot AI, 2018;5:73.
    PMID: 33500952 DOI: 10.3389/frobt.2018.00073
    The growing interest in social robotics makes it relevant to examine the potential of robots as persuasive agents and, more specifically, to examine how robot characteristics influence the way people experience such interactions and comply with the persuasive attempts by robots. The purpose of this research is to identify how the (ostensible) gender and the facial characteristics of a robot influence the extent to which people trust it and the psychological reactance they experience from its persuasive attempts. This paper reports a laboratory study where SociBot™, a robot capable of displaying different faces and dynamic social cues, delivered persuasive messages to participants while playing a game. In-game choice behavior was logged, and trust and reactance toward the advisor were measured using questionnaires. Results show that a robotic advisor with upturned eyebrows and lips (features that people tend to trust more in humans) is more persuasive, evokes more trust, and less psychological reactance compared to one displaying eyebrows pointing down and lips curled downwards at the edges (facial characteristics typically not trusted in humans). Gender of the robot did not affect trust, but participants experienced higher psychological reactance when interacting with a robot of the opposite gender. Remarkably, mediation analysis showed that liking of the robot fully mediates the influence of facial characteristics on trusting beliefs and psychological reactance. Also, psychological reactance was a strong and reliable predictor of trusting beliefs but not of trusting behavior. These results suggest robots that are intended to influence human behavior should be designed to have facial characteristics we trust in humans and could be personalized to have the same gender as the user. Furthermore, personalization and adaptation techniques designed to make people like the robot more may help ensure they will also trust the robot.
    Matched MeSH terms: Trust
  18. Fulltext Trusted computing strengthens cloud authentication
    Ghazizadeh E, Zamani M, Ab Manan JL, Alizadeh M
    ScientificWorldJournal, 2014;2014:260187.
    PMID: 24701149 DOI: 10.1155/2014/260187
    Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM) are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO) and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.
    Matched MeSH terms: Trust*
  19. A cross-sectional study evaluating the knowledge and beliefs about, and the use of antibiotics amongst Malaysian university students
    Haque M, Rahman NAA, McKimm J, Binti Abdullah SL, Islam MZ, Zulkifli Z, et al.
    Expert Rev Anti Infect Ther, 2019 04;17(4):275-284.
    PMID: 30761920 DOI: 10.1080/14787210.2019.1581607
    BACKGROUND: The introduction of antibiotics into modern medicine has changed clinical care by saving millions of lives. However, misuse of antibiotics has led to their benefits being overshadowed by the development of antimicrobial resistance.

    AIMS OF STUDY: This study aimed to assess university students' knowledge and beliefs about and their use of antibiotics.

    METHODS: This cross-sectional study was conducted among 674 medical and non-medical students of the National Defence University of Malaysia, using universal and convenience sampling methods. The data was collected using a validated questionnaire and analyzed using IBM SPSS 24, and the MANOVA test and Logistic Regression were used to explore the associated factors.

    RESULTS: More than half of the respondents' knowledge was low and their health beliefs outdated. Age, race and program were significantly associated with up-to-date knowledge and beliefs about antibiotic use, factors associated with finishing a course of antibiotics were studying medicine, personal health, and ethnicity. The significant factors associated with antibiotic self-prescribing were beliefs having been prescribed antibiotics during the last one year, and trusting the doctors who did not prescribe antibiotics.

    CONCLUSION: This study has identified a concerning low knowledge about antibiotics amongst some Malaysian university students, reflected in use of un-prescribed antibiotics and a lack of adherence to treatment. There is a need for educational interventions for students regarding antibiotic usage and resistance issues.

    Matched MeSH terms: Trust
  20. Fulltext Blood biomarkers of Hikikomori, a severe social withdrawal syndrome
    Hayakawa K, Kato TA, Watabe M, Teo AR, Horikawa H, Kuwano N, et al.
    Sci Rep, 2018 02 13;8(1):2884.
    PMID: 29440704 DOI: 10.1038/s41598-018-21260-w
    Hikikomori, a severe form of social withdrawal syndrome, is a growing social issue in Japan and internationally. The pathophysiology of hikikomori has not yet been elucidated and an effective treatment remains to be established. Recently, we revealed that avoidant personality disorder is the most common comorbidity of hikikomori. Thus, we have postulated that avoidant personality is the personality underpinning hikikomori. First, we herein show relationships between avoidant personality traits, blood biomarkers, hikikomori-related psychological features, and behavioural characteristics assessed by a trust game in non-hikikomori volunteers. Avoidant personality traits were negatively associated with high-density lipoprotein cholesterol (HDL-C) and uric acid (UA) in men, and positively associated with fibrin degeneration products (FDP) and high sensitivity C-reactive protein (hsCRP) in women. Next, we recruited actual individuals with hikikomori, and compared avoidant personality traits, blood biomarkers, and psychological features between individuals with hikikomori and age-matched healthy controls. Individuals with hikikomori had higher avoidant personality scores in both sexes, and showed lower serum UA levels in men and lower HDL-C levels in women compared with healthy controls. This is the first report showing possible blood biomarkers for hikikomori, and opens the door to clarify the underlying biological pathophysiology of hikikomori.
    Matched MeSH terms: Trust
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