Displaying publications 1 - 20 of 221 in total

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  1. Sandosham AA
    Med J Malaya, 1969 Mar;23(3):189-91.
    PMID: 4240072
    Matched MeSH terms: Research Personnel/education*
  2. Moorthy K, Mohamad MS
    Bioinformation, 2011;7(3):142-6.
    PMID: 22125385
    A random forest method has been selected to perform both gene selection and classification of the microarray data. In this embedded method, the selection of smallest possible sets of genes with lowest error rates is the key factor in achieving highest classification accuracy. Hence, improved gene selection method using random forest has been proposed to obtain the smallest subset of genes as well as biggest subset of genes prior to classification. The option for biggest subset selection is done to assist researchers who intend to use the informative genes for further research. Enhanced random forest gene selection has performed better in terms of selecting the smallest subset as well as biggest subset of informative genes with lowest out of bag error rates through gene selection. Furthermore, the classification performed on the selected subset of genes using random forest has lead to lower prediction error rates compared to existing method and other similar available methods.
    Matched MeSH terms: Research Personnel
  3. Rosnani Ginting, Amir Yazid Ali
    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
  4. Suriani, M.J., Aidy Ali, Sapuan, S.M., Khalina, A.
    MyJurnal
    This paper reviewed the aspect of fatigue approaches and analysis in a fibre reinforced composite materials which have been done by researchers worldwide. The aim of this review is to provide a better picture on analytical approaches that are presently available for predicting fatigue life in composite materials. This review also proposes a new interpretation of available theories and identifies area in fatigue of natural fibre reinforced composite materials. Thus, it was concluded there are still very limited studies on fatigue analysis of natural fibre reinforced composite materials, especially using non-destructive technique (NDT) methods and a new mathematical modelling on fatigue should be formulated.
    Matched MeSH terms: Research Personnel
  5. Scully, B., Nambiar, P.
    Ann Dent, 2002;9(1):-.
    MyJurnal
    Craniofacial superimposition methods are employed for the identification of unknown skulls or living persons. There are many such methods and of particular interest is that technique developed by Furue which is inexpensive to set-up. A study was undertaken to ascertain the validity of this technique and to correlate our findings with other researchers.
    Matched MeSH terms: Research Personnel
  6. Nazrina Aziz
    Sains Malaysiana, 2014;43:1973-1977.
    There are two main reasons that motivate people to detect outliers; the first is the researchers' intention; see the example of Mr Haldum's cases in Barnett and Lewis. The second is the effect of outliers on analyses. This article does not differentiate between the various justifications for outlier detection. The aim was to advise the analyst about observations that are isolated from the other observations in the data set. In this article, we introduce the eigenstructure based angle for outlier detection. This method is simple and effective in dealing with masking and swamping problems. The method proposed is illustrated and compared with Mahalanobis distance by using several data sets.
    Matched MeSH terms: Research Personnel
  7. Siti Hawa Binti Aziz, Zuliana Bt Abdul Mutalib
    MyJurnal
    The problem of constructing such a continuous function is called data fitting. Many times, data given only at discrete points. With interpolation, we seek a function that allows us to approximate f(x) such that functional values between the original data set values may be determined. The process of finding such a polynomial is called interpolation and one of the most important approaches used are Lagrange interpolating formula. In this study, researcher determining the polynomial interpolation by using Lagrange interpolating formula. Then, a mathematical modelling was built by using MATLAB programming to determine the polynomial interpolation for a given points using the Lagrange method. The result of the study showed that the manual calculating and the MATLAB mathematical modelling will give the same answer for evaluated x and graph.
    Matched MeSH terms: Research Personnel
  8. Mohamed NA, Alanzi ARA, Azizan AN, Azizan SA, Samsudin N, Salarzadeh Jenatabadi H
    PLoS One, 2024;19(1):e0290376.
    PMID: 38261595 DOI: 10.1371/journal.pone.0290376
    Sustainable construction and demolition waste management relies heavily on the attitudes and actions of its constituents; nevertheless, deep analysis for introducing the best estimator is rarely attained. The main objective of this study is to perform a comparison analysis among different approaches of Structural Equation Modeling (SEM) in Construction and Demolition Waste Management (C&DWM) modeling based on an Extended Theory of Planned Behaviour (Extended TPB). The introduced research model includes twelve latent variables, six independent variables, one mediator, three control variables, and one dependent variable. Maximum likelihood (ML), partial least square (PLS), and Bayesian estimators were considered in this study. The output of SEM with the Bayesian estimator was 85.8%, and among effectiveness of six main variables on C&DWM Behavioral (Depenmalaydent variables), five of them have significant relations. Meanwhile, the variation based on SEM with ML estimator was equal to 78.2%, and four correlations with dependent variable have significant relationship. At the conclusion, the R-square of SEM with the PLS estimator was equivalent to 73.4% and three correlations with the dependent variable had significant relationships. At the same time, the values of the three statistical indices include root mean square error (RMSE), mean absolute percentage error (MPE), and mean absolute error (MSE) with involving Bayesian estimator are lower than both ML and PLS estimators. Therefore, compared to both PLS and ML, the predicted values of the Bayesian estimator are closer to the observed values. The lower values of MPE, RMSE, and MSE and the higher values of R-square will generate better goodness of fit for SEM with a Bayesian estimator. Moreover, the SEM with a Bayesian estimator revealed better data fit than both the PLS and ML estimators. The pattern shows that the relationship between research variables can change with different estimators. Hence, researchers using the SEM technique must carefully consider the primary estimator for their data analysis. The precaution is necessary because higher error means different regression coefficients in the research model.
    Matched MeSH terms: Research Personnel
  9. Chau DM
    Nature, 2020 11;587(7832):9.
    PMID: 33144704 DOI: 10.1038/d41586-020-03082-x
    Matched MeSH terms: Research Personnel/education*; Research Personnel/ethics*
  10. Rehman FU, Ismail H, Al Ghazali BM, Asad MM, Shahbaz MS, Zeb A
    PLoS One, 2021;16(12):e0261573.
    PMID: 34937055 DOI: 10.1371/journal.pone.0261573
    Drucker's knowledge-worker productivity theory and knowledge-based view of the firm theory are widely employed in many disciplines but there is little application of these theories in knowledge-based innovation among academic researchers. Therefore, this study intends to evaluate the effects of the knowledge management process on knowledge-based innovation alongside with mediating role of Malaysian academic researchers' productivity during the Pandemic of COVID-19. Using a random sampling technique, data was collected from 382 academic researchers. Questionnaires were self-administered and data was analyzed via Smart PLS-SEM. Knowledge management process and knowledge workers' productivity have a positive and significant relationship with the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. In addition, knowledge workers' productivity mediates the relationship between the knowledge management process (knowledge creation, knowledge acquisition, knowledge sharing, and knowledge utilization) and knowledge-based innovation during the Pandemic of COVID-19. Results have also directed knowledge sharing as the key factor in knowledge-based innovation and a stimulating task for management discipline around the world during the Pandemic of COVID-19. This study provides interesting insights on Malaysian academic researchers' productivity by evaluating the effects of knowledge creation, acquisition, sharing, and application on the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. These useful insights would enable policymakers to develop more influential educational strategies. By assimilating the literature of defined variables, the main contribution of this study is the evaluation of knowledge creation, acquisition, sharing, and utilization into knowledge-based innovation alongside the mediating role of knowledge workers productivity in the higher education sector of Malaysia during the Pandemic of COVID-19.
    Matched MeSH terms: Research Personnel/psychology*; Research Personnel/trends
  11. 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
  12. Goh HH, Bourne PE
    PLoS Comput Biol, 2020 06;16(6):e1007946.
    PMID: 32584810 DOI: 10.1371/journal.pcbi.1007946
    Matched MeSH terms: Research Personnel*
  13. Misron N, Harun NH, Lee YK, Sidek RM, Aris I, Wakiwaka H, et al.
    Sensors (Basel), 2014;14(2):2431-48.
    PMID: 24496313 DOI: 10.3390/s140202431
    Among palm oil millers, the ripeness of oil palm Fresh Fruit Bunch (FFB) is determined through visual inspection. To increase the productivity of the millers, many researchers have proposed with a new detection method to replace the conventional one. The sensitivity of such a sensor plays a crucial role in determining the effectiveness of the method. In our preliminary study a novel oil palm fruit sensor to detect the maturity of oil palm fruit bunches is proposed. The design of the proposed air coil sensor based on an inductive sensor is further investigated to improve its sensitivity. This paper investigates the results pertaining to the effects of the air coil structure of an oil palm fruit sensor, taking consideration of the used copper wire diameter ranging from 0.10 mm to 0.18 mm with 60 turns. The flat-type shape of air coil was used on twenty samples of fruitlets from two categories, namely ripe and unripe. Samples are tested with frequencies ranging from 20 Hz to 120 MHz. The sensitivity of the sensor between air to fruitlet samples increases as the coil diameter increases. As for the sensitivity differences between ripe and unripe samples, the 5 mm air coil length with the 0.12 mm coil diameter provides the highest percentage difference between samples and it is amongst the highest deviation value between samples. The result from this study is important to improve the sensitivity of the inductive oil palm fruit sensor mainly with regards to the design of the air coil structure. The efficiency of the sensor to determine the maturity of the oil palm FFB and the ripening process of the fruitlet could further be enhanced.
    Matched MeSH terms: Research Personnel
  14. Muhammad Aa’zamuddin Ahmad Radzi, Nur Syamimi Mohd. Azharuddin, Abdulrezak Abdulahi Hashi, Azran Azhim, Munirah Sha’ban
    MyJurnal
    Tissue engineering (TE) research serves to overcome the major obstacles in organ transplantation. This paper summarizes the progress of TE in Malaysia. The online database of Elsevier’s SCOPUS was accessed. Publications related to TE from 1960 till 2017 were scrutinized. The results show an increasing trend in tissue engineering research and development in Malaysia. The search result identified and examined 264 original article publications. It is hoped that the outcomes of this study could serve as a point of reference for researchers on the status of TE research and development in Malaysia. The findings of this study could assist TE researchers in Malaysia to identify the strengths, weaknesses, opportunities and obstacles towards further enhancement in their activities. Consolidating, realigning and re-strategizing those initiatives should also be seen within the context of nurturing potential and budding researchers in TE.
    Matched MeSH terms: Research Personnel
  15. Goto N, Lim XL, Shee D, Hatano A, Khong KW, Buratto LG, et al.
    PMID: 31316357 DOI: 10.3389/fnint.2019.00019
    Recent research has shown that event-related brain potentials (ERPs) recorded while participants view lists of different consumer goods can be modulated by their preferences toward these products. However, it remains largely unknown whether ERP activity specific to a single consumer item can be informative about whether or not this item will be preferred in a shopping context. In this study, we examined whether single-item ERPs could reliably predict consumer preferences toward specific consumer goods. We recorded scalp EEG from 40 participants while they were viewing pictures of consumer goods and we subsequently asked them to indicate their preferences for each of these items. Replicating previous results, we found that ERP activity averaged over the six most preferred products was significantly differentiated from ERP activity averaged across the six least preferred products for three ERP components: The N200, the late positive potential (LPP) and positive slow waves (PSW). We also found that using single-item ERPs to infer behavioral preferences about specific consumer goods led to an overall predictive accuracy of 71%, although this figure varied according to which ERPs were targeted. Later positivities such as the LPP and PSW yielded relatively higher predictive accuracy rates than the frontal N200. Our results suggest that ERPs related to single consumer items can be relatively accurate predictors of behavioral preferences depending on which type of ERP effects are chosen by the researcher, and ultimately on the level of prediction errors that users choose to tolerate.
    Matched MeSH terms: Research Personnel
  16. Teh Faradilla Abdul Rahman, Zamri Abu Bakar
    Jurnal Inovasi Malaysia, 2019;2(2):19-39.
    MyJurnal
    The co-curricular is important for students at The Centre of Foundation Studies, Universiti Teknologi MARA Dengkil to score. This is because it contributes 10% of the merits in the students’ applications for their degree program as set up by Bahagian Pengurusan Kemasukan Pelajar (UPU). In each new cohort, almost 5,000 students registered at this academic center. Previously, the grading process was done manually based on the number of activity coupon collected by the students in their co-curricular activity card. The use of co- curricular activity card had some challenges such as involving high cost, loss of coupons and activity cards, stolen activity cards and it was difficult for the students to monitor their achievement throughout their study. The process of recording thousands of students’ marks took place almost everyday, hence it must be improvised. To solve the problems mentioned, the CRS developers had came up with the idea of using QR code as an approach to ease and speed up the scoring process. Hence, this system helps supervisors to reduce human error and ease users (supervisors and administrators). Besides, the students could monitor their co-curricular total score from time to time to know how well they are doing so far. As a result, it has fruitfully benefited to almost 5,000 students, supervisors and administrator at the Student Affairs Division (HEP) as well as reducing the cost of buying co-curricular activity cards.
    Matched MeSH terms: Research Personnel
  17. ROHAIDA MOHD. SAAT, HIDAYAH MOHD FADZIL
    MyJurnal
    This paper discusses methodological dilemma that arise in qualitative research, specifically in education field. It outlines the broad principles that underpin good qualitative research and the aspects of practice that qualitative researchers should consider when designing, conducting, and disseminating their research. Two primary methodological dilemma are (i) lack of objectivity, and (ii) issue of generalizability in qualitative research. The aim of this paper is to argue the dilemmas and encourage researchers to examine the relevance of qualitative issues to their own research. These dilemmas could be taken as important consideration for others who wish to conduct qualitative research in education.
    Matched MeSH terms: Research Personnel
  18. Ibrahim S, Saw A
    Malays Orthop J, 2020 Jul;14(2):1-6.
    PMID: 32983372 DOI: 10.5704/MOJ.2007.003
    Predatory journals and conferences have little or no peer review. Their raison d'être is for making money through the article processing charges and the conference registration fees. Without a critical evaluation, predatory journals publishing flawed results and conclusions would cloud the existing scientific literature. Predatory conferences are the offshoots of predatory publishing. The conferences are not organised by learned societies, but by profit-making event organisers. There is a need for awareness among researchers and clinicians regarding predatory publishing. The scourge of predatory publishing and conferencing should be more often highlighted during scientific meetings and publication courses.
    Matched MeSH terms: Research Personnel
  19. Jamaluddin Mahmud, Ahmad Kamil Hussain, Norzihan Rahimi, Mastura Abdul Rahim
    MyJurnal
    The finite element method is gaining acceptance in predicting mechanical response of various loading configurations and material orientations for failure analysis of composite laminates. Both fabrication of laminate samples and experimental procedures are often expensive and time consuming, and hence impractical, especially during the initial design stage. Finite element analyses require minimal amounts of input data, and the resulting stress and strain distributions can be determined throughout each individual ply. Using ANSYSTM, a commercially available finite element package, failure loads were predicted by simulating a uniaxial tensile loading on HTS40/977-2 Carbon/Epoxy composite with [+/-4512s lamination scheme. Two built-in failure theories in ANSYSTM features, viz., Maximum Stress and Tsai-Wu were applied in the simulation. The stress-strain and load-extension curves for both actual testing and FEA were then compared and the results are in good agreement. This paper is intended for researchers who have used or are considering using ANSYSTM for the prediction of failure in composite materials.
    Matched MeSH terms: Research Personnel
  20. Muntohar, A.S., Rahman, M.E., Hashim, R., Islam, M.S.
    MyJurnal
    The importance of numerical analysis in investigation of piled embankment over soft soil has been developed since 1990. Several investigators have extended the numerical analysis to model ground improvement using soil-column to support embankment or structures. This paper presents a numerical analysis of the Pulverized Fuel Ash (PFA) column-treated peat and compared with field static-loading test results. Back analysis was performed to determine the material parameters and soil stiffness surrounding soil & soil-column. Two geometrical models were used in this analysis: (a) block (Model A), and (b) column group (Model B). This situation was analyzed using commercially available finite element package PLAXIS 2D ver. 8.2. It is found that both models are reliable to simulate the field static-loading test for column-treated peat. Model B shows a higher stability to failure if compared to Model A.
    Matched MeSH terms: Research Personnel
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