MyMedR

Displaying publications 1 - 20 of 315 in total

Abstract:

Sort:

Fulltext A control chart based on cluster-regression adjustment for retrospective monitoring of individual characteristics

Ong HC, Alih E

PLoS One, 2015;10(4):e0125835.
PMID: 25923739 DOI: 10.1371/journal.pone.0125835

The tendency for experimental and industrial variables to include a certain proportion of outliers has become a rule rather than an exception. These clusters of outliers, if left undetected, have the capability to distort the mean and the covariance matrix of the Hotelling's T2 multivariate control charts constructed to monitor individual quality characteristics. The effect of this distortion is that the control chart constructed from it becomes unreliable as it exhibits masking and swamping, a phenomenon in which an out-of-control process is erroneously declared as an in-control process or an in-control process is erroneously declared as out-of-control process. To handle these problems, this article proposes a control chart that is based on cluster-regression adjustment for retrospective monitoring of individual quality characteristics in a multivariate setting. The performance of the proposed method is investigated through Monte Carlo simulation experiments and historical datasets. Results obtained indicate that the proposed method is an improvement over the state-of-art methods in terms of outlier detection as well as keeping masking and swamping rate under control.

Matched MeSH terms: Databases, Factual*
EcoliOverExpressionDB: a database of recombinant protein overexpression in E. coli

Habibi N, Samian MR, Hashim SZ, Norouzi A

Protein Expr Purif, 2014 Mar;95:92-5.
PMID: 24333540 DOI: 10.1016/j.pep.2013.11.014

Recombinant protein production is a significant biotechnological process as it allows researchers to produce a specific protein in desired quantities. Escherichia coli (E. coli) is the most popular heterologous expression host for the production of recombinant proteins due to its advantages such as low cost, high-productivity, well-characterized genetics, simple growth requirements and rapid growth. There are a number of factors that influence the expression level of a recombinant protein in E. coli which are the gene to be expressed, the expression vector, the expression host, and the culture condition. The major motivation to develop our database, EcoliOverExpressionDB, is to provide a means for researchers to quickly locate key factors in the overexpression of certain proteins. Such information would be a useful guide for the overexpression of similar proteins in E. coli. To the best of the present researchers' knowledge, in general and specifically in E. coli, EcoliOverExpressionDB is the first database of recombinant protein expression experiments which gathers the influential parameters on protein overexpression and the results in one place.

Matched MeSH terms: Databases, Factual*
Association between cardiovascular diseases and apical periodontitis: an umbrella review

Jakovljevic A, Duncan HF, Nagendrababu V, Jacimovic J, Milasin J, Dummer PMH

Int Endod J, 2020 Oct;53(10):1374-1386.
PMID: 32648971 DOI: 10.1111/iej.13364

BACKGROUND: The existence of an association between cardiovascular diseases (CVDs) and apical periodontitis (AP) remains unclear because results obtained from previous clinical studies and reviews are inconsistent or inconclusive.
OBJECTIVE: To conduct an umbrella review to determine whether there is an association between CVDs and the prevalence of AP in adults.
METHODS: The protocol of the review was registered in the PROSPERO database (CRD42020185753). The literature search was conducted using the following electronic databases: Clarivate Analytics' Web of Science Scopus, PubMed and Cochrane Database of Systematic Reviews, from inception to May, 2020, with no language restrictions. Systematic reviews with or without meta-analysis that evaluated the association between CVDs and AP were included. Other types of studies, including narrative reviews, were excluded. Two reviewers independently performed a literature search, data extraction and quality assessment of included studies. Any disagreements or doubts were resolved by a third reviewer. The quality of the reviews was assessed using the AMSTAR 2 tool (A measurement tool to assess systematic reviews), with 16 items. A final categorization of the systematic reviews classified each as of 'high', 'moderate', 'low' or 'critically low' quality.
RESULTS: Four systematic reviews were included in the current review. Three reviews were graded by AMSTAR 2 as 'moderate' quality, whereas one review was graded as 'critically low' quality.
DISCUSSION: Only one systematic review included a meta-analysis. Substantial heterogeneity amongst the primary studies included within each systematic review was notable in preventing a pooled analysis.
CONCLUSIONS: From the limited 'moderate' to 'critically low' quality evidence available, the current umbrella review concluded that a weak association exists between CVDs and AP. In the future, well-designed, longitudinal clinical studies with long-term follow-up are required.

Matched MeSH terms: Databases, Factual
An Architecture of a Query Evaluation System For Deductive Databases

Ali Mamat

Sains Malaysiana, 1996;25.

The technology of deductive database is now mature enough due to the considerable research efforts that have been made on the field for the last ten years. This achievement is demonstrated by the emergence of efficient and easy to use systems with their capability of supporting a declarative, rule based style of expressing queries and applications on databases. This paper describes an overview of architecture of a query evaluation system for deductive databases that has been developed.
Teknologi pangkalan data deduktif sudah matang hasil daripada penyelidikan yang telah banyak dilakukan dalam tempoh 10 tahun yang lepas. Pencapaian ini dibuktikan melalui kemunculan sistem yang cekap dan mudah guna serta mempunyai keupayaan untuk mengungkap pertanyaan dan penggunaan ke atas pangkalan data secara deklaratif menerusi penggunaan petua. Dalam kertas ini diterangkan suatu ringkasan mengenai senibina sistem penilaian pertanyaan untuk pangkalan data deduktif yang sudah dibangunkan.

Matched MeSH terms: Databases, Factual
Fulltext Recent Techniques in Nutrient Analysis for Food Composition Database

Md Noh MF, Gunasegavan RD, Mustafa Khalid N, Balasubramaniam V, Mustar S, Abd Rashed A

Molecules, 2020 Oct 06;25(19).
PMID: 33036314 DOI: 10.3390/molecules25194567

Food composition database (FCD) provides the nutritional composition of foods. Reliable and up-to date FCD is important in many aspects of nutrition, dietetics, health, food science, biodiversity, plant breeding, food industry, trade and food regulation. FCD has been used extensively in nutrition labelling, nutritional analysis, research, regulation, national food and nutrition policy. The choice of method for the analysis of samples for FCD often depends on detection capability, along with ease of use, speed of analysis and low cost. Sample preparation is the most critical stage in analytical method development. Samples can be prepared using numerous techniques; however it should be applicable for a wide range of analytes and sample matrices. There are quite a number of significant improvements on sample preparation techniques in various food matrices for specific analytes highlighted in the literatures. Improvements on the technology used for the analysis of samples by specific instrumentation could provide an alternative to the analyst to choose for their laboratory requirement. This review provides the reader with an overview of recent techniques that can be used for sample preparation and instrumentation for food analysis which can provide wide options to the analysts in providing data to their FCD.

Matched MeSH terms: Databases, Factual*
Fulltext Development and validation of a Database Forensic Metamodel (DBFM)

Al-Dhaqm A, Razak S, Othman SH, Ngadi A, Ahmed MN, Ali Mohammed A

PLoS One, 2017;12(2):e0170793.
PMID: 28146585 DOI: 10.1371/journal.pone.0170793

Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and effective DBF activities. However, these are often narrow in focus and address specified database incident types. We have analysed 60 such models in an attempt to uncover how numerous DBF activities are really public even when the actions vary. We then generate a unified abstract view of DBF in the form of a metamodel. We identified, extracted, and proposed a common concept and reconciled concept definitions to propose a metamodel. We have applied a metamodelling process to guarantee that this metamodel is comprehensive and consistent.

Matched MeSH terms: Databases, Factual*
Fulltext A charismatic new species of green lacewing discovered in Malaysia (Neuroptera, Chrysopidae): the confluence of citizen scientist, online image database and cybertaxonomy

Winterton SL, Guek HP, Brooks SJ

Zookeys, 2012.
PMID: 22936863 DOI: 10.3897/zookeys.214.3220

An unusual new species of green lacewing (Neuroptera: Chrysopidae: Semachrysa jadesp. n.) is described from Selangor (Malaysia) as a joint discovery by citizen scientist and professional taxonomists. The incidental nature of this discovery is underscored by the fact that the species was initially photographed and then released, with images subsequently posted to an online image database. It was not until the images in the database were randomly examined by the professional taxonomists that it was determined that the species was in fact new. A subsequent specimen was collected at the same locality and is described herein along with another specimen identified from nearby Sabah.

Matched MeSH terms: Databases, Factual
Fulltext An elemental concentration open source database for hogdahl-convention and westcott-formalism based on ko-inaa method in malaysia

Yavar, A.R., S. Sarmani, Tan, C.Y., N.N. Rafie, Lim, S.W. Edwin, Khoo, K.S.

Journal of Nuclear and Related Technologies, 2012;2012(2):93-98.
MyJurnal

An electronic database has been developed and implemented for ko-INAA method in Malaysia. Databases are often developed according to national requirements. This database contains constant nuclear data for ko-INAA method; Hogdahl-convention and Westcott-formalism as 3 separate command user interfaces. It has been created using Microsoft Access 2007 under a Windows operating system. This database saves time and the quality of results can be assured when the calculation of neutron flux parameters and concentration of elements by ko-INAA method are utilised. An evaluation of the database was conducted by IAEA Soil7 where the results published which showed a high level of consistency.

Matched MeSH terms: Databases, Factual
A bibliometric analysis of rejuvenators in reclaimed asphalt pavement

Odubela CA, Yaacob H, Warid MNBM, Karim KJBA, Zakka WP

Environ Sci Pollut Res Int, 2023 Mar;30(11):28575-28596.
PMID: 36710309 DOI: 10.1007/s11356-023-25265-5

This study looked at the state-of-the-art present knowledge base and trends in the area of using rejuvenators in reclaimed asphalt pavement (RAP) by systemic analysis and visualisation using VOSviewer and Scopus analyser; a total of 1872 studies were mined from the Scopus database for the purpose of this study. This quantitative approach to the review of literature removes author bias. The study was able to identify keywords and their cluster groups making up of core research domains ((1) asphalt binder composition and properties, (2) reclaimed asphalt mixtures (recycling), (3) reclaimed asphalt performance characteristics, (4) reclaimed asphalt sustainability, (5) rejuvenating agents and their performance, and (6) area of application). The study was able to identify the top authors; their document counts and citations; the most influential journals, institutions, and countries leading the way in the research domain; and the link between these authors and keywords within the existing body of literature in the research area. This study will help policymakers in identifying the main research themes and possible area of investments for further research in RAP. This study will also be a valuable compendium to researchers who intend to broaden the scope of the research area.

Matched MeSH terms: Databases, Factual
Mapping the global research landscape on malnutrition for patients with chronic kidney disease: a visualization analysis

Shakhshir MH, Vanoh D, Hassan M, Zyoud SH

J Health Popul Nutr, 2023 Sep 23;42(1):101.
PMID: 37742012 DOI: 10.1186/s41043-023-00445-8

BACKGROUND: Chronic kidney disease (CKD) is seen as a diverse disease and a primary contributor to global mortality. Malnutrition arises within chronic illness, which involves protein energy depletion and inadequate levels of essential nutrients. These factors increase the likelihood of death and the overall impact of the disease on affected individuals. Consequently, this study aims to utilize bibliometric and visual analysis to assess the current state of research, the latest advances and emerging patterns in the fields of CKD and malnutrition.
METHODS: Extensive research was conducted using the Scopus database, which is the most authoritative database of research publications and citations, to focus on CKD research between 2003 and 2022, as indicated by title and author keywords. Then, within this vast collection of academic publications, a notable subset of articles was exclusively dedicated to investigating the relationship between CKD and malnutrition. Finally, we performed bibliometric analysis and visualization using VOSviewer 1.6.19 and Microsoft Excel 2013.
RESULTS: Large global research between 2003 and 2022 resulted in 50,588 documents focused on CKD, as indicated by title and author keywords. In this extensive collection of scientific publications, a staggering portion of 823 articles is devoted exclusively to investigating the link between CKD and malnutrition. Further analysis reveals that this body of work consists of 565 articles (68.65%), 221 reviews (26.85%), and 37 miscellaneous entries (4.50%), which encompass letters and editorials. The USA was found to be the most productive country (n = 173; 21.02%), followed by Italy (n = 83; 10.09%), Sweden (n = 56; 6.80%), Brazil (n = 54; 6.56%) and China (n = 51; 6.20%). The most common terms on the map include those related to the topic of (a) malnutrition in hemodialysis patients and predicting factors; terms associated with the (b) impact of malnutrition on cardiovascular risk and complications in CKD patients; and terms related to the (c) dietary protein intake and malnutrition in CKD.
CONCLUSIONS: This study is the first of its kind to analyze CKD and malnutrition research using data from Scopus for visualization and network mapping. Recent trends indicate an increasing focus on protein-energy wasting/malnutrition in hemodialysis patients and predicting factors, dietary protein intake, and malnutrition in CKD. These topics have gained significant attention and reflect the latest scientific advances. Intervention studies are crucial to examining diet therapy's impact on patients with stages 1 to 5 CKD. We hope this study will offer researchers, dietitians and nephrologists valuable information.

Matched MeSH terms: Databases, Factual
Enterprise resource planning implementation within science and technology park (STP) organisations: an avenue for future research. A systematic review

Harun S, Dorasamy M, Bin Ahmad AA, Yap CS, Harguem S

F1000Res, 2021;10:1148.
PMID: 37599674 DOI: 10.12688/f1000research.73347.3

Background: Enterprise resource planning (ERP) is critical to enhancing the ability to control commercial activities and results in a competitive advantage when combined with an organisation's existing competitive advantages. However, our practise review reveals that end users resist ERP implementation because the resulting changes will alter the current status quo. The implementation of an ERP system in an organisation is complex as it affects multiple areas of the business. Resistance to change is cited as a factor of ERP failure. Methods: In this study, we conducted a systematic literature review using Transfield's five stages and established a conceptual framework for ERP system implementation in science and technology parks (STPs). Articles collected from Emerald, Science Direct, ProQuest and Scopus databases between 1 st June 2021 and 15 th June 2021. Two authors were assigned to check the suitability of the articles in order to avoid risk of bias. Articles were analysed based on components of a research paper and the data was tabulated using MS Excel. Results: Only eight papers (0.011% of all the papers) appeared when we searched for papers related to ERP with a focus on post ERP Implementation, end-user behaviours, organisational performance, and the accelerated SAP (system application and product) methodology. We found that there are hardly any articles on ERP post implementations in STP context particularly based on the evaluation part of accelerated SAP. Conclusions: Results indicate the lack of studies in this field, particularly those addressing issues related to STP. This study attempted to broaden the understanding of the ERP's effectiveness, particularly in terms of an organisation's operational performance.

Matched MeSH terms: Databases, Factual
Fulltext Future trends and guidance for the triple bottom line and sustainability: a data driven bibliometric analysis

Tseng ML, Chang CH, Lin CR, Wu KJ, Chen Q, Xia L, et al.

Environ Sci Pollut Res Int, 2020 Sep;27(27):33543-33567.
PMID: 32572746 DOI: 10.1007/s11356-020-09284-0

This study conducts a comprehensive literature review of articles on the triple bottom line (TBL) published from January 1997 to September 2018 to provide significant insights and support to guide further discussion. There were three booms in TBL publications, occurring in 2003, 2011, and 2015, and many articles attempt to address the issue of sustainability by employing the TBL. This literature analysis includes 720, 132, and 58 articles from the Web of Science (WOS), Inspec, and Scopus databases, respectively, and reveals the gaps in existing research. To discover the barriers and points of overlap, these articles are categorized into six aspects of the TBL: economic, environmental, social, operations, technology, and engineering. Examining the top 3 journals in terms of published articles on each aspect reveals the research trends and gaps. The findings provide solid evidence confirming the argument that the TBL as currently defined is insufficient to cover the entire concept of sustainability. The social and engineering aspects still require more discussion to support the linkage of the TBL and to reinforce its theoretical basis. Additionally, to discover the gaps in the data sources, theories applied, methods adopted, and types of contributions, this article summarizes 82 highly cited articles covering each aspect. This article offers theoretical insights by identifying the top contributing countries, institutions, authors, keyword networks, and authorship networks to encourage scholars to push the current discussion further forward, and it provides practical insights to bridge the gap between theory and practice for enhancing the efficiency and effectiveness of improvements.

Matched MeSH terms: Databases, Factual
Answer to comments on "Green supply chain management/green finance: a bibliometric analysis of the last twenty years by using the Scopus database" by Fahim, Faryal and Mahadi, Batiah

Fahim F, Mahadi B

Environ Sci Pollut Res Int, 2022 Nov;29(54):82616.
PMID: 36215006 DOI: 10.1007/s11356-022-23495-7
Matched MeSH terms: Databases, Factual
Fulltext Ensemble learning method for the prediction of new bioactive molecules

Afolabi LT, Saeed F, Hashim H, Petinrin OO

PLoS One, 2018;13(1):e0189538.
PMID: 29329334 DOI: 10.1371/journal.pone.0189538

Pharmacologically active molecules can provide remedies for a range of different illnesses and infections. Therefore, the search for such bioactive molecules has been an enduring mission. As such, there is a need to employ a more suitable, reliable, and robust classification method for enhancing the prediction of the existence of new bioactive molecules. In this paper, we adopt a recently developed combination of different boosting methods (Adaboost) for the prediction of new bioactive molecules. We conducted the research experiments utilizing the widely used MDL Drug Data Report (MDDR) database. The proposed boosting method generated better results than other machine learning methods. This finding suggests that the method is suitable for inclusion among the in silico tools for use in cheminformatics, computational chemistry and molecular biology.

Matched MeSH terms: Databases, Factual
A scientometric analysis of bone cutting tools & methodologies: Mapping the research landscape

Addepalli P, Sawangsri W, Ghani SAC

Injury, 2024 Apr;55(4):111458.
PMID: 38432100 DOI: 10.1016/j.injury.2024.111458

This study undertakes a Scientometric analysis of bone-cutting tools, investigating a corpus of 735 papers from the Scopus database between 1941 and 2023. It employs bibliometric methodologies such as keyword coupling, co-citation, and co-authorship analysis to map the intellectual landscape and collaborative networks within this research domain. The analysis highlights a growing interest and significant advancements in bone-cutting tools, focusing on their design, the materials used, and the cutting processes involved. It identifies key research fronts and trends, such as the emphasis on surgical precision, material innovation, and the optimization of tool performance. Further, the study reveals a broad collaboration among researchers from various disciplines, including engineering, materials science, and medical sciences, reflecting the field's interdisciplinary nature. Despite the progress, the analysis points out several gaps, notably in tool design optimization and the impact of materials on bone health. This comprehensive review not only charts the evolution of bone-cutting tool research but also calls attention to areas requiring further investigation, aiming to inspire future studies that address these identified gaps and enhance surgical outcomes.

Matched MeSH terms: Databases, Factual
Subjective and objective financial toxicity among colorectal cancer patients: a systematic review

Azzani M, Azhar ZI, Ruzlin ANM, Wee CX, Samsudin EZ, Al-Harazi SM, et al.

BMC Cancer, 2024 Jan 05;24(1):40.
PMID: 38182993 DOI: 10.1186/s12885-023-11814-1

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer type worldwide. Colorectal cancer treatment costs vary between countries as it depends on policy factors such as treatment algorithms, availability of treatments and whether the treatment is government-funded. Hence, the objective of this systematic review is to determine the prevalence and measurements of financial toxicity (FT), including the cost of treatment, among colorectal cancer patients.
METHODS: Medline via PubMed platform, Science Direct, Scopus, and CINAHL databases were searched to find studies that examined CRC FT. There was no limit on the design or setting of the study.
RESULTS: Out of 819 papers identified through an online search, only 15 papers were included in this review. The majority (n = 12, 80%) were from high-income countries, and none from low-income countries. Few studies (n = 2) reported objective FT denoted by the prevalence of catastrophic health expenditure (CHE), 60% (9 out of 15) reported prevalence of subjective FT, which ranges from 7 to 80%, 40% (6 out of 15) included studies reported cost of CRC management- annual direct medical cost ranges from USD 2045 to 10,772 and indirect medical cost ranges from USD 551 to 795.
CONCLUSIONS: There is a lack of consensus in defining and quantifying financial toxicity hindered the comparability of the results to yield the mean cost of managing CRC. Over and beyond that, information from some low-income countries is missing, limiting global representativeness.

Matched MeSH terms: Databases, Factual
Corporate governance and shareholders' confidence in cooperativess a systematic literature review

Thangaveloo A, Dorasamy M, Bin Ahmad AA, Marimuthu SB, Jayabalan J

F1000Res, 2022;11:144.
PMID: 38434005 DOI: 10.12688/f1000research.73317.2

Background: The confidence of Bottom 40 (B40) shareholders is crucial for cooperative's sustenance within wider corporate governance. An in-depth study on cooperatives is needed, as they play a crucial role in the Malaysian economic system and contribute greatly to the country's social development. However, in the current landscape, confidence among shareholders is at stake. This study aims to identify the research gap into corporate governance for cooperativess in relation to B40 shareholder confidence, as well as identify current study challenges and develop a conceptual framework for future research. Methods: We conducted a systematic literature review, with the use of agency theory to assess shareholders' confidence. Emerald, ProQuest, InderScience, Scopus and Science Direct were the online databases used in this study to search five keyword phrases: corporate governance, confidence, cooperative, agency theory and Bottom 40% (B40) household. Tranfield's five stages were used to conduct the systematic review. Results: Only 5 of the 324 studies assess shareholders' confidence in cooperatives, as well as one paper on B40 and two papers on agency theory. Our review presents three major findings. First, research in the context of B40 shareholder's confidence in cooperatives is scarce. Second, the challenges related to shareholders' confidence in B40 are major issues in the context. Third, research on agency theory in the context of shareholders' confidence within cooperatives and corporate governance is still scant. Conclusions: This review urges the research community to conduct more studies based on the highlighted research gaps.

Matched MeSH terms: Databases, Factual
Parkinson's disease diagnosis using deep learning: A bibliometric analysis and literature review

Abumalloh RA, Nilashi M, Samad S, Ahmadi H, Alghamdi A, Alrizq M, et al.

Ageing Res Rev, 2024 Apr;96:102285.
PMID: 38554785 DOI: 10.1016/j.arr.2024.102285

Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD diagnosis research, with an increase in the number of published papers in this discipline. PD detection using DL has presented more promising outcomes as compared with common machine learning approaches. This article aims to conduct a bibliometric analysis and a literature review focusing on the prominent developments taking place in this area. To achieve the target of the study, we retrieved and analyzed the available research papers in the Scopus database. Following that, we conducted a bibliometric analysis to inspect the structure of keywords, authors, and countries in the surveyed studies by providing visual representations of the bibliometric data using VOSviewer software. The study also provides an in-depth review of the literature focusing on different indicators of PD, deployed approaches, and performance metrics. The outcomes indicate the firm development of PD diagnosis using DL approaches over time and a large diversity of studies worldwide. Additionally, the literature review presented a research gap in DL approaches related to incremental learning, particularly in relation to big data analysis.

Matched MeSH terms: Databases, Factual
A dBASE III system for managing 35 mm slides in pathology

Wong KT, Chan KS

Malays J Pathol, 1990 Dec;12(2):101-6.
PMID: 2102964

We describe the design and management of a 35 mm slide database using a menu-driven dBASE III PLUS programme and a microcomputer in a large department of pathology that also caters for the individual pathologist. Existing systems described in the literature are geared towards slides of general medicine and do not address the needs of the individual pathologist. A total of 11,481 slides in the Department of Pathology, Faculty of Medicine, University of Malaya, were filed into a single database with each record representing one slide. Nine fields which comprised the slide accession number, reference number, slide category, SNOMED codes, and a description of the slide in natural language, seemed adequate for slide definition. The menu-driven programme had functions which included the abilities to add, delete, edit and back-up records, and to search for desired slides. Although slides may be searched for in various fields, we found that searches using natural language alone were both comprehensive and efficient, provided a standard format of description was adhered to and data entries scrutinized carefully for errors. We believe therefore, that for the pathologist working alone, coded language fields are not absolutely necessary, as manual coding and additional data entry can be time consuming. As expected, for databases larger than 10,000 slides, a 80286 microprocessor-based microcomputer was more efficient. We are of the opinion that a system such as ours is very useful for a large department of pathology or the individual pathologist to file and retrieve 35 mm slides.

Matched MeSH terms: Databases, Factual*
Fulltext Patient registries supplement. Foreword

Abdul Hamid M

Med J Malaysia, 2008 Sep;63 Suppl C:vii.
PMID: 19227668
Matched MeSH terms: Databases, Factual*

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links