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Institution

National University of Malaysia

EducationKuala Lumpur, Malaysia
About: National University of Malaysia is a education organization based out in Kuala Lumpur, Malaysia. It is known for research contribution in the topics: Population & Heat transfer. The organization has 26593 authors who have published 41270 publications receiving 552683 citations. The organization is also known as: NUM & Universiti Kebangsaan Malaysia.


Papers
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Journal ArticleDOI
TL;DR: In conclusion, animal models for hypertension and atherosclerosis are invaluable in improving the authors' understanding of cardiovascular disease and developing new pharmacological therapies.
Abstract: Hypertension and atherosclerosis are among the most common causes of mortality in both developed and developing countries. Experimental animal models of hypertension and atherosclerosis have become a valuable tool for providing information on etiology, pathophysiology, and complications of the disease and on the efficacy and mechanism of action of various drugs and compounds used in treatment. An animal model has been developed to study hypertension and atherosclerosis for several reasons. Compared to human models, an animal model is easily manageable, as compounding effects of dietary and environmental factors can be controlled. Blood vessels and cardiac tissue samples can be taken for detailed experimental and biomolecular examination. Choice of animal model is often determined by the research aim, as well as financial and technical factors. A thorough understanding of the animal models used and complete analysis must be validated so that the data can be extrapolated to humans. In conclusion, animal models for hypertension and atherosclerosis are invaluable in improving our understanding of cardiovascular disease and developing new pharmacological therapies.

173 citations

Journal ArticleDOI
TL;DR: An overview of intrusion classification algorithms, based on popular methods in the field of machine learning, including ensemble and hybrid techniques were examined, considering both homogeneous and heterogeneous types of ensemble methods.

173 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed formulae that relate splitting tensile strength (STS) with that of compressive strength, water/binder (W/B) ratio and concrete age.

173 citations

Journal ArticleDOI
TL;DR: The authors examined the intellectual capital content of Marks & Spencer annual reports over a 31-year period from 1978 to 2008 using a content analysis instrument and found an overall increase in intellectual capital reporting over the 31 years but notes a particular increase in relational capital reporting and a re-ordering of sub-categories over time.
Abstract: This paper examines the intellectual capital content of Marks & Spencer annual reports over a 31 year period from 1978 to 2008 using a content analysis instrument. Motivated by the gap among prior studies in respect of longitudinal samples, the paper also sets out to note the ways in which the annual report has changed over the three decades in response to the supposed change from the assumption that fixed assets and operations were the key driver of value creation to a belief that knowledge and the stock of intellectual assets had become a more powerful explanation of value-added. The paper finds an overall increase in intellectual capital reporting over the 31 years but notes a particular increase in relational capital reporting and a re-ordering of sub-categories over time. Narrative (as opposed to quantitative) reporting has increased and ‘factual’ (as opposed to opinion and judgement) reporting has decreased. The paper concludes that annual report narratives have reflected a wider change in the market for information among investors and other stakeholders. Whilst the exact nature of these market changes was beyond the scope of this paper, it is concluded that changing patterns of ICR reflect the increased complexity of the messages being conveyed in voluntary reporting. The increased reliance on IC in value creation has, we argue, created a need for narrative of less factual certainty and with more ambiguity and circumspection in describing increasingly complex knowledge assets.

172 citations

Journal ArticleDOI
TL;DR: This review paper summaries the development of the above alloys and support materials related to reduce the usage of Pt, improve stability, and better electrocatalytic performance of Pt in DMFC.
Abstract: Platinum (Pt)-based nanoparticle metals have received a substantial amount of attention and are the most popular catalysts for direct methanol fuel cell (DMFC). However, the high cost of Pt catalysts, slow kinetic oxidation, and the formation of CO intermediate molecules during the methanol oxidation reaction (MOR) are major challenges associate with single-metal Pt catalysts. Recent studies are focusing on using either Pt alloys, such as Fe, Ni, Co, Rh, Ru, Co, and Sn metals, or carbon support materials to enhance the catalytic performance of Pt. In recent years, Pt and Pt alloy catalysts supported on great potential of carbon materials such as MWCNT, CNF, CNT, CNC, CMS, CNT, CB, and graphene have received remarkable interests due to their significant properties that can contribute to the excellent MOR and DMFC performance. This review paper summaries the development of the above alloys and support materials related to reduce the usage of Pt, improve stability, and better electrocatalytic performance of Pt in DMFC. Finally, discussion of each catalyst and support in terms of morphology, electrocatalytic activity, structural characteristics, and its fuel cell performance are presented.

172 citations


Authors

Showing all 26827 results

NameH-indexPapersCitations
Jonathan E. Shaw114629108114
Sabu Thomas102155451366
Biswajeet Pradhan9873532900
Haji Hassan Masjuki9750229653
Mika Sillanpää96101944260
Choon Nam Ong8644425157
Keith R. Abrams8635530980
Kamaruzzaman Sopian8498925293
Benedikt M. Kessler8238524243
Michel Marre8244439052
Peter Willett7647929037
Peter F. M. Choong7253218185
Nidal Hilal7239521524
Margareta Nordin7226719578
Teuku Meurah Indra Mahlia7033917444
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202382
2022363
20213,169
20202,808
20192,888
20183,299