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Stature estimation in the South-East Asian population: A systematic review

Ismail NA, Abu Bakar SN, Abdullah N, Shafie MS, Mohd Nor F

Malays J Pathol, 2019 Aug;41(2):83-89.
PMID: 31427544

INTRODUCTION: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region.
MATERIALS AND METHODS: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study.
RESULTS: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation.
CONCLUSION: The most widely used regression equations for stature estimation in South-East Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.

Matched MeSH terms: Research
Dataset on the influence of software development agility on software firms' performance in Bangladesh

Sadia F, Mahmud I, Dhar E, Jahan N, Hossain SS, Zaidi Satter AKM

Data Brief, 2019 Apr;23:103741.
PMID: 31372407 DOI: 10.1016/j.dib.2019.103741

The article identifies the relationship among different agile software development approaches such as response extensiveness, response efficiency, team autonomy, team diversity, and software functionality that software teams face difficult challenges in associating and achieving the right balance between the two agility dimensions. This research strategy, in terms of quantity, is descriptive and correlational. Statistical analysis of the data was carried out, using SmartPLS 3.0. Statistical population, consist of employees of software industries in Bangladesh, who were engaged in 2017 and their total number is about 100 people. The data show that the response extensiveness, response efficiency, team autonomy, team diversity, and software functionality have impact on software development agility and software development performance.

Matched MeSH terms: Research Design
Antiangiogenic properties of nanoparticles: a systematic review

Saeed BA, Lim V, Yusof NA, Khor KZ, Rahman HS, Abdul Samad N

Int J Nanomedicine, 2019;14:5135-5146.
PMID: 31371952 DOI: 10.2147/IJN.S199974

Nanoparticles appear to be one of the most promising agents that offer efficacy in angiogenesis-related disease therapy. The objective of this research is to systematically review studies that have probed into the effect of nanoparticles on angiogenesis. Selected inclusion criteria were used to extract articles, references that were cited in the initial search were sought to identify more potential articles, and articles that did not meet the inclusion criteria and duplicates were discarded. The spherical shape was shown to be the most common shape employed to investigate the role of nanoparticles in angiogenesis therapy. The size of nanoparticles appears to play a crucial role for efficacy on angiogenesis, in which 20 nm emerged as the preferred size. Gold nanoparticles exhibit the most promise as an antiangiogenesis agent, and the toxicity was adjustable based on the dosages applied.

Matched MeSH terms: Research
The top 50 most-cited articles published in the International Endodontic Journal

Ahmad P, Dummer PMH, Noorani TY, Asif JA

Int Endod J, 2019 Jun;52(6):803-818.
PMID: 30667524 DOI: 10.1111/iej.13083

AIM: To analyse the main characteristics of the top 50 most-cited articles published in the International Endodontic Journal from 1967 to 2018.
METHODOLOGY: The Clarivate Analytics' Web of Science 'All Databases', Elsevier's Scopus, Google Scholar and PubMed Central were searched to retrieve the 50 most-cited articles in the IEJ published from April 1967 to December 2018. The articles were analysed and information including number of citations, year of publication, contributing authors, institutions and countries, study design, study topic, impact factor and keywords was extracted.
RESULTS: The number of citations of the 50 selected papers varied from 575 to 130 (Web of Science), 656 to164 (Elsevier's Scopus), 1354 to 199 (Google Scholar) and 123 to 3 (PubMed). The majority of papers were published in the year 2001 (n = 7). Amongst 102 authors, the greatest contribution was made by four contributors that included Gulabivala K (n = 4), Ng YL (n = 4), Pitt Ford TR (n = 4) and Wesselink PR (n = 4). The majority of papers originated from the United Kingdom (n = 8) with most contributions from King's College London Dental Institute (UK) and Eastman Dental Hospital, London. Reviews were the most common study design (n = 19) followed by Clinical Research (n = 16) and Basic Research (n = 15). The majority of topics covered by the most-cited articles were Outcome Studies (n = 9), Intracanal medicaments (n = 8), Endodontic microbiology (n = 7) and Canal instrumentation (n = 7). Amongst 76 unique keywords, Endodontics (n = 7), Mineral Trioxide Aggregate (MTA) (n = 7) and Root Canal Treatment (n = 7) were the most frequently used.
CONCLUSION: This is the first study to identify and analyse the top 50 most-cited articles in a specific professional journal within Dentistry. The analysis has revealed information regarding the development of the IEJ over time as well as scientific progress in the field of Endodontology.

Matched MeSH terms: Research Design
Fulltext Marks recorded in Co-curricular Registration System using QR code

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
Binary Particle Swarm Optimization for Variables Selection Optimization in Taguchi’s T-Method

Khairur Rijal Jamaludin, Nolia Harudin, Faizir Ramlie, Mohd Nabil Muhtazaruddin, Che Munira Che Razali, Wan Zuki Azman Wan Muhamad

MATEMATIKA, 2020;36(1):69-84.
MyJurnal

Prediction analysis has drawn significant interest in numerous field. Taguchi’s T-Method is a prediction tool that developed practically but not limited to small sample analysis. It was developed explicitly for multidimensional system prediction by relying on historical data as the baseline model and adapting the signal to noise ratio (SNR) as well as zero proportional concepts in strengthening its robustness. Orthogonal array (OA) in T-Method is a variable selection optimization technique in improving the prediction accuracy as well as help in eliminating variables that may deteriorate the overall performance. However, the limitation of OA in dealing with higher multidimensionality restraint the optimization accuracy. Binary particle swarm optimization used in this study helps to cater to the limitation of OA as well as optimizing the variable selection process to better prediction accuracy. The results show that if the historical data consist of samples with higher correlation of determination (R2) value for the model creation, the optimization process in reducing the number of variables would be much reliable and accurate. Comparing between T-Method+OA and T-Method+BPSO in four different case study, it shows that T-Method+BPSO performing better with greater R2 and means relative error (MRE) value compared to T-Method+OA.

Matched MeSH terms: Research Design
Fulltext Rigour in qualitative research: is there a panacea to it?

AHMED, ABUBAKAR, MURTALA MUHAMMAD

Malaysian Journal of Qualitative Research, 2017;4(1):60-68.
MyJurnal

Despite the reported limitations of the qualitative research in comparison to other methodologies, we contend that the common criticisms against it are too often using criteria explicitly analogous to quantitative reasoning. We critically analysed the reported limitations of qualitative research in the literature to deconstruct the conflicting discourses that enable an understanding of their subjectivity. Also, we provide a philosophical justification that both qualitative and quantitative methodologies are appropriate for studying a different form of reality. Lincoln and Guba’s four principles for determining the quality of qualitative research rigour along with confirmability, transferability, credibility and dependability are deemed appropriate rather than the commonly employed internal and external validity, reliability and objectivity. Finally, we argued that a widespread use of a different standard for judging the quality of qualitative research consequential to its philosophical stance is the panacea for the unfair criticisms in the future.

Matched MeSH terms: Qualitative Research
New Three-Term Conjugate Gradient Method with Exact Line Search

Mohd Rivaie, Fuziyah Ishak, Nur Idalisa, Nurul Hafawati Fadhilah

MATEMATIKA, 2020;36(3):197-207.
MyJurnal

Conjugate Gradient (CG) methods have an important role in solving large
scale unconstrained optimization problems. Nowadays, the Three-Term CG method has
become a research trend of the CG methods. However, the existing Three-Term CG
methods could only be used with the inexact line search. When the exact line search
is applied, this Three-Term CG method will be reduced to the standard CG method.
Hence in this paper, a new Three-Term CG method that could be used with the exact
line search is proposed. This new Three-Term CG method satisfies the descent condition
using the exact line search. Performance profile based on numerical results show that
this proposed method outperforms the well-known classical CG method and some related
hybrid methods. In addition, the proposed method is also robust in term of number of
iterations and CPU time.

Matched MeSH terms: Research Design
Fulltext Aspect extraction on user textual reviews using multi-channel convolutional neural network

Da'u A, Salim N

PeerJ Comput Sci, 2019;5:e191.
PMID: 33816844 DOI: 10.7717/peerj-cs.191

Aspect extraction is a subtask of sentiment analysis that deals with identifying opinion targets in an opinionated text. Existing approaches to aspect extraction typically rely on using handcrafted features, linear and integrated network architectures. Although these methods can achieve good performances, they are time-consuming and often very complicated. In real-life systems, a simple model with competitive results is generally more effective and preferable over complicated models. In this paper, we present a multichannel convolutional neural network for aspect extraction. The model consists of a deep convolutional neural network with two input channels: a word embedding channel which aims to encode semantic information of the words and a part of speech (POS) tag embedding channel to facilitate the sequential tagging process. To get the vector representation of words, we initialized the word embedding channel and the POS channel using pretrained word2vec and one-hot-vector of POS tags, respectively. Both the word embedding and the POS embedding vectors were fed into the convolutional layer and concatenated to a one-dimensional vector, which is finally pooled and processed using a Softmax function for sequence labeling. We finally conducted a series of experiments using four different datasets. The results indicated better performance compared to the baseline models.

Matched MeSH terms: Research Design
Fulltext Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer

Rahman MA, Muniyandi RC, Albashish D, Rahman MM, Usman OL

PeerJ Comput Sci, 2021;7:e344.
PMID: 33816995 DOI: 10.7717/peerj-cs.344

Artificial neural networks (ANN) perform well in real-world classification problems. In this paper, a robust classification model using ANN was constructed to enhance the accuracy of breast cancer classification. The Taguchi method was used to determine the suitable number of neurons in a single hidden layer of the ANN. The selection of a suitable number of neurons helps to solve the overfitting problem by affecting the classification performance of an ANN. With this, a robust classification model was then built for breast cancer classification. Based on the Taguchi method results, the suitable number of neurons selected for the hidden layer in this study is 15, which was used for the training of the proposed ANN model. The developed model was benchmarked upon the Wisconsin Diagnostic Breast Cancer Dataset, popularly known as the UCI dataset. Finally, the proposed model was compared with seven other existing classification models, and it was confirmed that the model in this study had the best accuracy at breast cancer classification, at 98.8%. This confirmed that the proposed model significantly improved performance.

Matched MeSH terms: Research Design
Fulltext The Perils of Predatory Journals and Conferences

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
Fulltext Factors associated with homelessness and its medical issues among urban Malaysians: a qualitative research

Nurul Mahfuzah Ahmad Yani, Nur Zakirah Zahari, Nur Fatini Haziqah Abu Samah, Muhammad Ammar Faidhi Mohamed Azahar, Siti Munira Yasin, Mohd Shahril Ahmad Saman, et al.

Journal of Clinical and Health Sciences, 2016;1:46-58.

Homelessness continues to exist in our country even though we hear of various initiatives that have been put in place to solve this ongoing issue. The objectives of this study are, first, to explore factors that lead to homelessness, second, to determine the associated medical conditions and third, to shed light on the views of homeless individuals regarding their future perspectives.

Matched MeSH terms: Qualitative Research
Rapid 'technological lock in' and pathology - Is technology moving too fast?

Moorchung N

Malays J Pathol, 2019 Apr;41(1):1-5.
PMID: 31025631

The term "Lock In" as applied to Science and Technology refers to a technology which has been utilised for a certain amount of time and it has been determined that the technology is viable and cost effective. An analysis of the technological advancements in pathology over a period of time shows that the newer technologies in contrast to the older technologies are reaching a state of "Technological Lock In" much faster. Three different discoveries, the development of the autopsy as a research tool, the discovery of the microscope and immunohistochemistry illustrate how rapidly "Technological Lock In" is being achieved with the passage of time. Three probable scenarios are possible because of this rapid "Technological Lock In". Technology may continue to progress at the same pace (an ideal scenario), may plateau until pathologists accept and absorb new technologies or thirdly, develop very rapidly so that the technology may never reach pathology practice. What will the future be? How will technology influence the principles and practices of Pathology? Only time will tell.

Matched MeSH terms: Research
Fulltext Time, love and tenderness: Doctors' online volunteering in Health Virtual Community searching for work-family balance

Mohd Yusof SA, Mohd Noor N, Othman N

J Infect Public Health, 2021 Jan;14(1):1-5.
PMID: 33341478 DOI: 10.1016/j.jiph.2020.11.004

BACKGROUND: This study will explore and understand the experience of doctors volunteering online in managing the boundaries between work and family in health virtual communities (HVC).
METHODOLOGY: A qualitative case study approach was used to explore and understand how doctors volunteering online balances between work and family in a Health Virtual Community called DoktorBudak.com (DB). A total of seventeen (17) doctors were interviewed using either face-to-face, Skype, phone interview or through email.
RESULTS: The results of this study suggested that doctors perceived the physical border at their workplace as less permeable though the ICT has freed them from the restriction to perform other non-related work (such as online volunteering (OV) works) during working hours. In addition, doctors OV use ICTs to perform work at home or during working hours, they perceive their work and family borders as flexible. Furthermore, the doctors used different strategies when it came to blending, whether to segment or integrate their work and family domains.
CONCLUSION: This study has defined issues on work-family balance and OV. Most importantly this study had discussed the conceptual framework of work-family balance focusing on doctors volunteering online and how they have incorporated ICTs such as Internet technology to negotiate the work-family boundaries, which are permeable, flexible and blending.

Matched MeSH terms: Qualitative Research
The optimization of torque ripple reduction by using DTC-multilevel inverter

Tarusan SAA, Jidin A, Jamil MLM

ISA Trans, 2021 Apr 16.
PMID: 33931170 DOI: 10.1016/j.isatra.2021.04.005

Direct Torque Control (DTC) scheme introduces a robust and simple control of electrical drive. However, its shortcomings such as broad torque ripple and variable switching frequency have offered several improvements like Space Vector Modulation (SVM) strategy, multilevel inverter (MLI) topology, etc. The conventional DTC which is fed by the two-level inverter has limited voltage vector, results in some difficulties to optimize the operation, especially at low operating speed. In contrast to MLI, the abundant of voltage vector has provided various amplitudes and angles that can overcome the problem of conventional DTC. Thus, this paper introduces the selected optimal voltage vector obtained from five-level Cascaded H-Bridge (CHB) inverter that employs in DTC hysteresis-based to achieve better optimization that similar to the DTC-SVM. Initially, the research work begins with an investigation on the performance comparison between a DTC hysteresis-based between two-level inverter (conventional method) and a five-level CHB inverter (proposed method). Here, a DC generator acted as a load is employed to control the operating speed instead of the speed controller (speed controller is negligible). Hence, the DTC method is optimized by minimizing the torque ripple as well as retaining the torque control capability at constant torque region on several operating speed. The selected optimal vector from the look-up table DTC of five-level CHB inverter must be dynamically appropriate to any change of torque (increased or decreased torque). For simplicity, this paper will only discuss the experimental results for both topologies of drive system. From the experimental results, it is verified that the torque ripples by the proposed method have achieved 10% and 50% reduction at high and low operating speed respectively. It is found that the DTC hysteresis-based result simpler control method than DTC-SVM while maintaining similar output performance.

Matched MeSH terms: Research Design
Fulltext A review on assessment and treatment for depression in malaysia

Mukhtar F, Oei TP

Depress Res Treat, 2011;2011:123642.
PMID: 21804939 DOI: 10.1155/2011/123642

This paper aimed to review the literature on depression that focused on its assessment and treatment in Malaysia. PsycINFO, Medline, local journals were searched, and 18 published articles were included in this paper. Results indicate that research on depression in Malaysia, particularly validation studies and psychotherapy research, was weak and fragmented, with minimal empirical evidence available. Pharmacotherapy still dominated the treatment for depression, and, in terms of psychotherapy, Cognitive Behavioural Therapy (CBT) was recently practiced, but only a few studies have reported on the treatment efficacy of CBT. Major limitations of studies were noted, and, consequently, the problems that are associated with the implementation and future direction of clinical and research on depression in Malaysia were discussed. In short, the contribution of empirical research on the assessment and treatment for depression remained inconsistent and fragmented and urgently in need of further empirical investigation.

Matched MeSH terms: Empirical Research
Fulltext Investigation of the key factors that influence the girls to enter into child marriage: A meta-synthesis of qualitative evidence

Kohno A, Techasrivichien T, Suguimoto SP, Dahlui M, Nik Farid ND, Nakayama T

PLoS One, 2020;15(7):e0235959.
PMID: 32678862 DOI: 10.1371/journal.pone.0235959

In this study, we synthesized findings from qualitative studies to identify the key factors that influence child marriage. We used a meta-ethnographic approach coupled with thematic synthesis. We searched literature from nine databases, which were in English language, covering areas in public health, psychology, and social science between 2008 and 2018. Twelve studies were included in the synthesis. We identified six main themes: human insecurity and conflict; legal issues; family values and circumstances; religious beliefs; individual circumstances, beliefs, and knowledge; and social norms. Our findings highlight the impact of human insecurity and conflict, as well as legal issues. In spite of global progress scaling up legislation against child marriage, the legal framework is insufficiently enforced in many settings. Most of the included studies were from the Middle East, Africa, and South Asia. Studies from other parts of the world such as Latin America and Southeast Asia, which have the highest rates of child marriage, are needed.

Matched MeSH terms: Qualitative Research
Fulltext Likert scale vs. Visual Analogue Scale on vehicle seat discomfort questionnaire: a review

Nur Athirah Diyana Mohammad Yusof, Putri Anis Syahira Mohamad Jamil, Nurul Maizura Hashim, Karmegam Karuppiah, Irniza Rasdi, Shamsul Bahri Mohd Tamrin, et al.

Malaysian Journal of Medicine and Health Sciences, 2019;15(204):159-164.
MyJurnal

Discomfort measurement has usually been attempted by asking the participants to rate the scale of their discomfort which commonly termed as a subjective scale. Various studies had conducted the discomfort level on vehicle seat by using Visual Analogue Scale (VAS) and Likert scale. VAS is a tool that use to measure a discomfort or characteristics in range across a continuum of values. Meanwhile, Likert-scale is a tool consist of items that require respondents to rate their degrees of comfort or discomfort with various declarative statements. Thus, the purpose of this study is to review, discuss and compare between the VAS and Likert scale used on the development and assessment of sitting discomfort survey in seat vehicles. The literature on various topics related to questionnaire development on discomfort in seat vehicle were collected from electronic databases. Four high-quality studies were eligible and met the inclusion and exclusion criteria. Overall, there is no evidence and conclusion that neither visual analogue scale nor Likert scale are better to one another. Therefore, it can be concluded that either of this scale still applicable for the ergonomic research application as both of this scale have their own pros and cons.

Matched MeSH terms: Qualitative Research
On estimate of Malaysian mortality rates using interpolation methods

Nur Idayu Ah Khaliludin, Zarina Mohd Khalid, Haliza Abd.Rahman

MATEMATIKA, 2019;35(2):177-186.
MyJurnal

Life table is a table that shows mortality experience of a nation. However, in Malaysia, the information in this table is provided in the five-years age groups (abridged) instead of every one-year age. Hence, this study aims to estimate the one-year age mor- tality rates from the abridged mortality rates using several interpolation methods. We applied Kostaki method and the Akima spline method to five sets of Malaysian group mortality rates ranging from period of 2012 to 2016. The result were then compared with the one-year mortality rates. We found that the method by Akima is the best method for Malaysian mortality experience as it gives the least minimum of sum of square errors. The method does not only provide a good fit but also, shows a smooth mortality curve.

Matched MeSH terms: Research Design
Fulltext Effect of Charging Parameter on Fruit Battery-Based Oil Palm Maturity Sensor

Misron N, Kamal Azhar NS, Hamidon MN, Aris I, Tashiro K, Nagata H

Micromachines (Basel), 2020 Aug 25;11(9).
PMID: 32854336 DOI: 10.3390/mi11090806

Oil palm is one of the key industries highly observed in Malaysia, due to its high demand both whether locally or internationally. The oil extraction rate (OER) in palm oil production is used as an element to identify the performance of the mills, estates and producers. In view of this, there are specific instrument or sensor needs to be implemented at the mills especially during the reception of fresh fruit bunches (FFB) transported from the field for oil content processing. This paper aims to study and propose the use of a fruit battery-based oil palm maturity sensor to analyse the effect of the sensor to various parameters. The study utilizes a charging method with different parameters, including a moisture content test on the palm oil samples. Three types of parameters are tested along with the different grades of oil palm fruit from different bunches, such as the load resistance, charging voltage and charging time. The repeatability data of the samples are obtained with the used list of values in each parameter. The results show that the parameters tested for the unripe, under ripe and ripe samples can affect the sensor sensitivity.

Matched MeSH terms: Research Design

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