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Fulltext AVERT2 (a very early rehabilitation trial, a very effective reproductive trigger): retrospective observational analysis of the number of babies born to trial staff

Bernhardt J, Lindley RI, Lalor E, Ellery F, Chamberlain J, Van Holsteyn J, et al.

BMJ, 2015 Dec 11;351:h6432.
PMID: 26658193 DOI: 10.1136/bmj.h6432

OBJECTIVE: To report the number of participants needed to recruit per baby born to trial staff during AVERT, a large international trial on acute stroke, and to describe trial management consequences.
DESIGN: Retrospective observational analysis.
SETTING: 56 acute stroke hospitals in eight countries.
PARTICIPANTS: 1074 trial physiotherapists, nurses, and other clinicians.
OUTCOME MEASURES: Number of babies born during trial recruitment per trial participant recruited.
RESULTS: With 198 site recruitment years and 2104 patients recruited during AVERT, 120 babies were born to trial staff. Births led to an estimated 10% loss in time to achieve recruitment. Parental leave was linked to six trial site closures. The number of participants needed to recruit per baby born was 17.5 (95% confidence interval 14.7 to 21.0); additional trial costs associated with each birth were estimated at 5736 Australian dollars on average.
CONCLUSION: The staff absences registered in AVERT owing to parental leave led to delayed trial recruitment and increased costs, and should be considered by trial investigators when planning research and estimating budgets. However, the celebration of new life became a highlight of the annual AVERT collaborators' meetings and helped maintain a cohesive collaborative group.
TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry no 12606000185561.
DISCLAIMER: Participation in a rehabilitation trial does not guarantee successful reproductive activity.

Matched MeSH terms: Research Personnel/statistics & numerical data*
Fulltext Plant Disease Detection and Classification: A Systematic Literature Review

Ramanjot, Mittal U, Wadhawan A, Singla J, Jhanjhi NZ, Ghoniem RM, et al.

Sensors (Basel), 2023 May 15;23(10).
PMID: 37430683 DOI: 10.3390/s23104769

A significant majority of the population in India makes their living through agriculture. Different illnesses that develop due to changing weather patterns and are caused by pathogenic organisms impact the yields of diverse plant species. The present article analyzed some of the existing techniques in terms of data sources, pre-processing techniques, feature extraction techniques, data augmentation techniques, models utilized for detecting and classifying diseases that affect the plant, how the quality of images was enhanced, how overfitting of the model was reduced, and accuracy. The research papers for this study were selected using various keywords from peer-reviewed publications from various databases published between 2010 and 2022. A total of 182 papers were identified and reviewed for their direct relevance to plant disease detection and classification, of which 75 papers were selected for this review after exclusion based on the title, abstract, conclusion, and full text. Researchers will find this work to be a useful resource in recognizing the potential of various existing techniques through data-driven approaches while identifying plant diseases by enhancing system performance and accuracy.

Matched MeSH terms: Research Personnel
Representing landslides as polygon (areal) or points? How different data types influence the accuracy of landslide susceptibility maps

Simon N, de Roiste M, Crozier M, Abdul Ghani Rafek

Sains Malaysiana, 2017;46:27-34.

In the literatures, discussions on the accuracy of different models for landslide analysis have been discussed widely.
However, to date, arguments on the type of input data (landslides in the form of point or polygon) and how they affect
the accuracy of these models can hardly be found. This study assesses how different types of data (point or polygon)
applied to the same model influence the accuracy of the model in determining areas susceptible to landsliding. A total
of 137 landslides was digitised as polygon (areal) units and then transformed into points; forming two separate datasets
both representing the same landslides within the study area. These datasets were later separated into training and
validation datasets. The polygon unit dataset uses the area density technique reported as percentage, while the point
data uses the landslide density technique, as means of assigning weighting to landslide factor maps to generate the
landslide susceptibility map that is based on the analytical hierarchy process (AHP) model. Both data groups show striking
differences in terms of mapping accuracy for both training and validation datasets. The final landslide susceptibility
map using area density (polygon) as input only has 48% (training) and 35% (validation) accuracy. The accuracy for
the susceptibility map using the landslide density as input data achieved 89% and 82% for both training and validation
datasets, respectively. This result showed that the selection of the type of data for landslide analysis can be critical in
producing an acceptable level of accuracy for the landslide susceptibility map. The authors hope that the finding of this
research will assist landslide investigators to determine the appropriateness of the type of landslide data because it will
influence the accuracy of the final landslide potential map.

Matched MeSH terms: Research Personnel
Fulltext The effectiveness of a DEAL-Based intervention to reduce stress and depression symptoms

Muhamad Saiful Bahri Yusoff, Mohd Jamil Yaacob, Nyi, Nyi Naing, Abdul Rahman Esa

Education in Medicine Journal, 2015;7(1):1-15.
MyJurnal

Many researchers have emphasized the importance of teaching stress management and self-care skills to medical students as they are vulnerable to develop psychological health problems. The researchers designed a 4-hour intervention based on the DEAL model to address these problems. This study aimed to determine outcomes of the DEAL-based intervention on medical students’ stress, anxiety and depression symptoms. Methods: A randomized controlled trial study was conducted on 171 medical students. Their stress, anxiety and depression symptoms were measured by the 21-item Depression Anxiety Stress Scale at five intervals; at 2 weeks before the intervention, and at 1 week, 8 weeks, 16 weeks and 32 weeks after the intervention. The mixed model ANCOVA was applied to determine the effect of the intervention on the participants’ psychological health at five intervals. Results: A total of 153 medical students (intervention = 73 and control = 80) completed this study. Results showed that the intervention group experienced significantly lower stress and depression symptoms than the control group. Although anxiety scores are consistently lower in the intervention group, no significant differences between groups were found. Conclusion: These results support the favourable outcomes of the intervention on psychological health of medical students. It is a promising intervention to be considered by medical schools as it consumes minimal amount of time, money, training and man power as well can be implemented easily.

Matched MeSH terms: Research Personnel
Fulltext Swiftlets and edible bird’s nest industry in Asia

Looi, Qi Hao, Abdul Rahman Omar

The Pertanika Journal of Scholarly Research Reviews, 2016;2(1):32-48.
MyJurnal

Swiftlet
s
are small insectivorous birds which breed throughout Southeast Asia and
the South Pacific.
Among many swiftle
t species, only a few are notable to produce edible bird’s
nest
s
(EBN) from the secreted saliva during breeding seasons.
The taxonomy of swiftlet
s
remains one of the most controversial in the avian species due to the high similarity in
morphological charac
teristics among the species. Over the last few decades, researchers have
studied the taxonomy of swiftlet
s
based on the morphological
trade
, behavior, and genetic
traits
.
However, despite all the efforts,
the
swiftlet taxonomy remains unsolved.
The
EBN is one of
the
most expensive animal products
and frequently being referred
to
as the “
Caviar of the East
”.
The
EBN market value varies from
US
$1000.00 to
US
$10,000.00 per kilogram depend
ing
on
its grade, shape, type and origin.
Hence, bird’s nest harve
sting is considered a lucrative industry
in many countries in Southeast Asia.
However,
the
industry faced several challenges over the
decades such as the authenticity of the EBN, the quality assurance and the depletion of swiftlet
population. Furthermore,
there is limited scientific evidence regarding EBN’s medical benefits
as
claimed by manufacturers. This paper reviews the taxonomy of swiftlet
s
, its morphological
characteristics, the challenges currently encountered by the industry, and finally the
compos
ition and medical benefits of EBN.

Matched MeSH terms: Research Personnel
Fulltext Operational utility of the reverse-transcription recombinase polymerase amplification for detection of dengue virus

Tan KK, Azizan NS, Yaacob CN, Che Mat Seri NAA, Samsudin NI, Teoh BT, et al.

BMC Infect Dis, 2018 04 11;18(1):169.
PMID: 29642856 DOI: 10.1186/s12879-018-3065-1

BACKGROUND: A method for rapid detection of dengue virus using the reverse-transcription recombinase polymerase amplification (RT-RPA) was recently developed, evaluated and made ready for deployment. However, reliance solely on the evaluation performed by experienced researchers in a well-structured and well-equipped reference laboratory may overlook the potential intrinsic problems that may arise during deployment of the assay into new application sites, especially for users unfamiliar with the test. Appropriate assessment of this newly developed assay by users who are unfamiliar with the assay is, therefore, vital.
METHODS: An operational utility test to elucidate the efficiency and effectiveness of the dengue RT-RPA assay was conducted among a group of researchers new to the assay. Nineteen volunteer researchers with different research experience were recruited. The participants performed the RT-RPA assay and interpreted the test results according to the protocol provided. Deviation from the protocol was identified and tabulated by trained facilitators. Post-test questionnaires were conducted to determine the user satisfaction and acceptability of the dengue RT-RPA assay.
RESULTS: All the participants completed the test and successfully interpreted the results according to the provided instructions, regardless of their research experience. Of the 19 participants, three (15.8%) performed the assay with no deviations and 16 (84.2%) performed the assay with only 1 to 5 deviations. The number of deviations from protocol, however, was not correlated with the user laboratory experience. The accuracy of the results was also not affected by user laboratory experience. The concordance of the assay results against that of the expected was at 89.3%. The user satisfaction towards the RT-RPA protocol and interpretation of results was 90% and 100%, respectively.
CONCLUSIONS: The dengue RT-RPA assay can be successfully performed by simply following the provided written instructions. Deviations from the written protocols did not adversely affect the outcome of the assay. These suggest that the RT-RPA assay is indeed a simple, robust and efficient laboratory method for detection of dengue virus. Furthermore, high new user acceptance of the RT-RPA assay suggests that this assay could be successfully deployed into new laboratories where RT-RPA was not previously performed.

Matched MeSH terms: Research Personnel
Fulltext Excessive smartphone usage among early adolescents: impact on social competence

Syed Ahmad Muhajir Alhaddad Syed E, Nurul Hudani Md N, Agnis S

Jurnal Psikologi Malaysia, 2018;32:1-11.

The benefit mobile technology brings is not limited to learning and entertainment but it also modifies human aspect of social communication. Despite the high number of previous research available concerning smartphones, there is still a gap of research that needs to be addressed such as its effect towards social competence. As the social system becomes complex, communication technology evolves to ensure the social needs are accomplished. For this study, 236 students aged between 13-14 years old were recruited and given a set of questionnaire which comprised Mobile Phone Problem Use Scale, Social Competence Scale for Teenagers and Self Scoring Self-Control Scale. In this study, the researcher attempted to examine the effect of excessive smartphone usage on social competence with self-control as mediator. Regression analysis was used to estimate the effect between the variables. The result indicates that there is negative relationship between excessive smartphone usage and social competence. However, when self-control is tested in the model as a mediator, excessive smartphones usage was not prevalent to predict social competence. This concludes to the apparent role of self-control as a mediator. The implication of study has contributed to the practical importance and methodological aspect of studies involving social competence and self-control.

Matched MeSH terms: Research Personnel
Fulltext Husbands’ experience with their wives’ breast cancer: a qualitative study

Yusoff, N., Reiko Yap, K.M., Ahmad, A.

Malaysian Journal of Public Health Medicine, 2012;12(1):31-38.
MyJurnal

This study aims to explore the life experience of the husbands of women who survived breast cancer for more than five years following breast removal. Basic interpretative of qualitative methodology was applied in order to construct the phenomenon of breast cancer from the perspective of husbands. This approach allowed researchers to explore in-depth the experience of husbands in facing breast cancer of their wives. Four themes were identified. These are marital
challenges, pattern of life, supportive atmosphere and psychological defenses. Health strategies should direct the family member to the specific pathway in order to facilitate them towards the effective action of healthcare at their level. Evidence from this study is a direction for future research and health planning for better health policy.

Matched MeSH terms: Research Personnel
Authorship: few myths and misconceptions

Menezes RG, Kharoshah MA, Madadin M, Marakala V, Lasrado S, Al Tamimi DM

Sci Eng Ethics, 2016 12;22(6):1843-1847.
PMID: 26670920 DOI: 10.1007/s11948-015-9742-1

This article seeks to address and dispel some of the popular myths and misconceptions surrounding authorship of a scientific publication as this is often misconstrued by beginners in academia especially those in the developing world. While ethical issues in publishing related to authorship have been increasingly discussed, not much has been written about the myths and misconceptions of who might be an author. Dispelling these myths and misconceptions would go a long way in shaping the thoughts and plans of students, junior faculty and researchers in academia especially in the developing world.

Matched MeSH terms: Research Personnel/standards
Fulltext Total quality management in the health-care context: integrating the literature and directing future research

Alzoubi MM, Hayati KS, Rosliza AM, Ahmad AA, Al-Hamdan ZM

Risk Manag Healthc Policy, 2019;12:167-177.
PMID: 31576185 DOI: 10.2147/RMHP.S197038

Background: Synergistic integration of predictors and elements that determine the success of total quality management (TQM) implementations in hospitals has been the bane of theoretical development in the TQM research area. Thus, this paper aims to offer a systematic literature review to provide a foundation on which research on TQM can be built and to identify the predictors of successful TQM in the health-care context.
Materials and methods: A systematic literature survey was adopted in this paper, involving the review of 25 relevant researched articles found in the databases Science Direct, EBSCO, MEDLINE, CINAHL and PubMed.
Result: The systematic literature survey reveals five variables to be core predictors of TQM, signifying how important these variables are in the successful implementation of TQM in the health-care context. Also, it is revealed that the identified core predictors have positive effects on an improved health-care system. However, the systematic survey of the literature reveals a dearth of studies on TQM in the health-care context.
Conclusion: As TQM has become an important management approach for advancing effectiveness in the health-care sector, this kind of research is of value to researchers and managers. Stakeholders in the health sectors should introduce and implement TQM in hospitals and clinics. Nevertheless, this study has limitations, including that the databases and search engines adopted for the literature search are not exhaustive.

Matched MeSH terms: Research Personnel
Fulltext Impact of religiosity on purchase intentions towards counterfeit products: investigating the mediating role of attitude and moderating role of hedonic benefits

Yaakop AY, Hafeez HM, Faisal MM, Munir M, Ali M

Heliyon, 2021 Feb;7(2):e06026.
PMID: 33644436 DOI: 10.1016/j.heliyon.2021.e06026

This study was aimed at exploring the impact of religiosity on purchase intention towards counterfeit products by investigating the mediating role of consumer attitude. This study investigated religiosity as an independent variable, attitude towards counterfeit as a mediator while predicting the purchase intentions of the consumers. A self-administered questionnaire using a five-point Likert scale was used to collect data from the sample of 420 respondents who were from twin cities (Rawalpindi and Islamabad) of Pakistan. Structural equation modeling technique was used to achieve the set objectives. The results reveal a statistically significant effect of religiosity along with the significant mediating role of consumer attitude and the significant moderating role of hedonic benefits while predicting the purchase intentions of the consumers. This study also provides important insights for the researchers and the practitioners.

Matched MeSH terms: Research Personnel
Fulltext New smoothed location models integrated with PCA and two types of MCA for handling large number of mixed continuous and binary variables

Hamid, H., Ngu, P.A.H., Alipiah, F.M.

Pertanika Journal of Science & Technology, 2018;26(1):247-260.
MyJurnal

The issue of classifying objects into groups when measured variables in an experiment are mixed has attracted the attention of statisticians. The Smoothed Location Model (SLM) appears to be a popular classification method to handle data containing both continuous and binary variables simultaneously. However, SLM is infeasible for a large number of binary variables due to the occurrence of numerous empty cells. Therefore, this study aims to construct new SLMs by integrating SLM with two variable extraction techniques, Principal Component Analysis (PCA) and two types of Multiple Correspondence Analysis (MCA) in order to reduce the large number of mixed variables, primarily the binary ones. The performance of the newly constructed models, namely the SLM+PCA+Indicator MCA and SLM+PCA+Burt MCA are examined based on misclassification rate. Results from simulation studies for a sample size of n=60 show that the SLM+PCA+Indicator MCA model provides perfect classification when the sizes of binary variables (b) are 5 and 10. For b=20, the SLM+PCA+Indicator MCA model produces misclassification rates of 0.3833, 0.6667 and 0.3221 for n=60, n=120 and n=180, respectively. Meanwhile, the SLM+PCA+Burt MCA model provides a perfect classification when the sizes of the binary variables are 5, 10, 15 and 20 and yields a small misclassification rate as 0.0167 when b=25. Investigations into real dataset demonstrate that both of the newly constructed models yield low misclassification rates with 0.3066 and 0.2336 respectively, in which the SLM+PCA+Burt MCA model performed the best among all the classification methods compared. The findings reveal that the two new models of SLM integrated with two variable extraction techniques can be good alternative methods for classification purposes in handling mixed variable problems, mainly when dealing with large binary variables.

Matched MeSH terms: Research Personnel
Fulltext In-Depth Review of Augmented Reality: Tracking Technologies, Development Tools, AR Displays, Collaborative AR, and Security Concerns

Syed TA, Siddiqui MS, Abdullah HB, Jan S, Namoun A, Alzahrani A, et al.

Sensors (Basel), 2022 Dec 23;23(1).
PMID: 36616745 DOI: 10.3390/s23010146

Augmented reality (AR) has gained enormous popularity and acceptance in the past few years. AR is indeed a combination of different immersive experiences and solutions that serve as integrated components to assemble and accelerate the augmented reality phenomena as a workable and marvelous adaptive solution for many realms. These solutions of AR include tracking as a means for keeping track of the point of reference to make virtual objects visible in a real scene. Similarly, display technologies combine the virtual and real world with the user's eye. Authoring tools provide platforms to develop AR applications by providing access to low-level libraries. The libraries can thereafter interact with the hardware of tracking sensors, cameras, and other technologies. In addition to this, advances in distributed computing and collaborative augmented reality also need stable solutions. The various participants can collaborate in an AR setting. The authors of this research have explored many solutions in this regard and present a comprehensive review to aid in doing research and improving different business transformations. However, during the course of this study, we identified that there is a lack of security solutions in various areas of collaborative AR (CAR), specifically in the area of distributed trust management in CAR. This research study also proposed a trusted CAR architecture with a use-case of tourism that can be used as a model for researchers with an interest in making secure AR-based remote communication sessions.

Matched MeSH terms: Research Personnel
Fulltext The pandemic and changes in early career researchers' career prospects, research and publishing practices

Jamali HR, Nicholas D, Sims D, Watkinson A, Herman E, Boukacem-Zeghmouri C, et al.

PLoS One, 2023;18(2):e0281058.
PMID: 36791119 DOI: 10.1371/journal.pone.0281058

INTRODUCTION: As part of the Harbnger-2 project, this study aimed to discover the impact of the COVID-19 pandemic on junior researchers' work-life, career prospects, research and publishing practices and networking.
METHODS: An online international survey of 800 early career researchers (ECRs) was conducted in 2022. A questionnaire was developed based on three rounds of interviews and distributed using multiple channels including publishers, social media, and direct email to ECRs.
RESULTS: The impact of the pandemic on career prospects, morale, job security, productivity, ability to network and collaborate, and quality and speed of peer review has on the whole been more negative than positive. A quarter of ECRs shifted their research focus to pandemic-related topics and half of those who did, benefited largely due to increased productivity and impact. The majority worked remotely/from home and more than two-thirds of those who did so benefitted from it. While virtual or hybrid conferences have been embraced by the majority of ECRs, around a third still preferred face-to-face only conferences. The use of library online platforms, Sci-Hub, ResearchGate, Google Scholar and smartphone to search and access full-text papers increased. ECRs prioritised journals with fast submission procedures for the publishing of their papers and spent more time on increasing the visibility of their research. Fees were a problem for publishing open access.
CONCLUSION: Although, generally, the pandemic negatively impacted many aspects of ECRs' work-life, certain research areas and individuals benefited from being more appreciated and valued, and, in some cases, resulted in increased resources, better productivity and greater impact. Changes, such as the use of digital technologies and remote working created new opportunities for some ECRs. While continuing work flexibility and hybrid conferences might benefit some ECRs, institutions should also take measures to help those ECRs whose career and productivity have been adversely impacted.

Matched MeSH terms: Research Personnel
Fulltext Designing the next generation of implementation research training for learners in low- and middle-income countries

Penkunas MJ, Chong SY, Rhule ELM, Berdou E, Allotey P

Global Health, 2021 06 21;17(1):63.
PMID: 34154605 DOI: 10.1186/s12992-021-00714-3

Efficacious health interventions tested through controlled trials often fail to show desired impacts when implemented at scale. These challenges can be particularly pervasive in low- and middle-income settings where health systems often lack the capacity and mechanisms required for high-quality research and evidence translation. Implementation research is a powerful tool for identifying and addressing the bottlenecks impeding the success of proven health interventions. Implementation research training initiatives, although growing in number, remain out of reach for many investigators in low- and middle-income settings, who possess the knowledge required to contextualize challenges and potential solutions in light of interacting community- and system-level features. We propose a realigned implementation research training model that centers on team-based learning, tailored didactic opportunities, learning-by-doing, and mentorship.

Matched MeSH terms: Research Personnel
Fulltext TRIZ or DFMA Combined With QFD as Product Design Methodology: A Review

Rosnani Ginting, Amir Yazid Ali

Pertanika Journal of Science & Technology, 2016;24(1):1-25.
MyJurnal

Quality Function Deployment (QFD) is a structured methodology that uses customer and technical
requirements for designers and manufacturers to provide better products. Many researchers combine or
integrate the technique of QFD with other methodologies such as Theory Inventive of Problem Solving
(TRIZ) or Design for Manufacture and Assembly (DFMA) to optimise product design innovation and
improvement. The combined methodologies are even used to solve process problems. Initial literature
review of the application of stand-alone QFD poised several problems. Combining QFD with other
techniques, such as TRIZ and DFMA, has helped to address these issues and forms the basis of future
research. The integrated methods can solve main contradictory problems more precisely from product
demand analysis to product design, production and application. Review work of the literature, specifically
that on research and development of QFD, TRIZ and DFMA, showed that the said methodologies have
been widely and successfully implemented in several practical applications such as resolving conflicts
between customer and technical/engineering requirements and reducing production cost. This review work
provides an in-depth analysis of identifying and finding issues of strengths, weaknesses and outcomes
of the QFD when combined with TRIZ and also of QFD integrated with DFMA.

Matched MeSH terms: Research Personnel
Fulltext An Accidental Finding of Pulmonary Sequestration in an Adult

Amran, A.R.

International Medical Journal Malaysia, 2006;5(1):1-6.
MyJurnal

Pulmonary sequestration is defined as a segment of ç separated from the tracheobronchial tree and receiving its blood supply from a systemic artery rather than a pulmonary arterial branch. Classically, it has been described in two forms: (1) intralobar sequestration (ILS), in which the sequestrated part of lung lies within normal pulmonary visceral pleura, and (2) extralobar sequestration (ELS), in which the abnormal segment of lung is completely separate and enclosed in its own pleural investment. The term sequestration was coined by Pryce in 1946 to describe a disconnected bronchopulmonary mass or cyst with an anomalous systemic artery. Since this original description, terminology has become confusing as investigator has recognized many variants of sequestration not strictly meeting the original description. The spectrum now recognized as a continuum, with normal vessels supplying abnormal lung at one end and abnormal vessels supplying normal lung at the other end. Recently, we incidentally found an asymptomatic, intralobar pulmonary sequestration during CT pneumocolon.

Matched MeSH terms: Research Personnel
Fulltext Introduction to metodology framework in research study: a case study

Ang, Kean Hua

Malaysian Journal of Social Sciences and Humanities, 2016;1(1):17-23.
MyJurnal

This Methodology framework in research study smoothing the process of collecting data. Research
study is categorized into qualitative and quantitative research. Qualitative research refer to a studies
require careful observation, while quantitative research refers to a studies involve in statistics.
Qualitative and quantitative research study can be determined through primary and secondary data.
Primary data is defined as data that comes from original or the first source, while secondary data is
defined as data that has been collected by other researchers. Primary data can be categorized into
active and passive. Active primary data can be divided into direct interview (through face to face
between researcher and respondents) and interviewed indirectly (e.g. by phone, mail, technology),
while passive primary data involve with structured and secret characteristic, structured and open
characteristic, unstructured and secret characteristic, unstructured and open characteristic. Secondary
data involves with writing (journals, books, magazines, past records, reports and documents, internet, theses, short stories, newspaper), as well as vision and hearing (speeches, movies and videos, songs,
stories). Even secondary data has its advantages and disadvantages, but both secondary and primary
data are depend on each other in solving the society problems through the achievement of the
objectives or hyphotheses in a research study.

Matched MeSH terms: Research Personnel
Graphene/transition metal dichalcogenides hybrid supercapacitor electrode: status, challenges, and perspectives

Seman RNAR, Azam MA, Ani MH

Nanotechnology, 2018 Dec 14;29(50):502001.
PMID: 30248022 DOI: 10.1088/1361-6528/aae3da

Supercapacitors, based on fast ion transportation, are among the most promising energy storage solutions that can deliver fast charging-discharging within seconds and exhibit excellent cycling stability. The development of a good electrode material is one of the key factors in enhancing supercapacitor performance. Graphene (G), an allotrope of carbon that consists of a single layer of carbon atoms arranged in a hexagonal lattice, elicits research attention among scientists in the field of energy storage due to its remarkable properties, such as outstanding electrical conductivity, good chemical stability, and excellent mechanical behavior. Furthermore, numerous studies focus on 2D materials that are analogous to graphene as electrode supercapacitors, including transition metal dichalcogenides (TMDs). Recently, scientists and researchers are exploring TMDs because of the distinct features that make 2D TMDs highly attractive for capacitive energy storage. This study provides an overview of the structure, properties, synthesis methods, and electrochemical performance of G/TMD supercapacitors. Furthermore, the combination of G and TMDs to develop a hybrid structure may increase their energy density by introducing an asymmetric supercapacitor system. We will also discuss the future prospect of this system in the energy field.

Matched MeSH terms: Research Personnel
Fulltext Cost of type 2 diabetes mellitus in selected developing countries

Wan Norlida Ibrahim, Syed Aljunid, Aniza Ismail

Malaysian Journal of Public Health Medicine, 2010;10(2):68-71.
MyJurnal

Increasing prevalence of chronic diseases is a major contributor for rapid rise in healthcare cost in developing countries since the last decade. It was estimated that around 54% of deaths in developing countries are due to chronic non-communicable diseases which is predicted to rise by 65% by 2030. Diabetes mellitus is among the most prevalent chronic diseases suffered by more than 180 million people worldwide. By 2030 it is estimated that around 400 million people in the world will be afflicted with diabetes. Annual deaths attributable to diabetes are probably as high as 3 million with more than 80% occur in developing countries. India, China and Indonesia are three countries in the Asian region with most number of people with diabetes. The total number of cases in these three countries is expected to increase more than double from 61 million in 2000 to 163 million in 2030. China and India will suffer cumulative GDP loss of 13.8% and 16.7% respectively, over the next ten year period. Assessing economic burden of diabetes is a challenging task for researchers because identification of direct and indirect cost of the disease is often complex since patients with diabetes also suffers from other complications and co-morbidities. In conclusion, the heavy economic burden of diabetes pose major challenges to health policy makers in developing countries to assess the current approach in managing this chronic disease. Serious efforts should be made on focusing and up-scaling activities on health promotion and prevention of diabetes so that to provide a more cost-effective solution to this condition with huge and increasing economic loss.

Matched MeSH terms: Research Personnel

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