Institution
National University of Malaysia
Education•Kuala 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.
Topics: Population, Heat transfer, Thin film, Membrane, Photovoltaic system
Papers published on a yearly basis
Papers
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Sahlgrenska University Hospital1, National University of Ireland, Galway2, Population Health Research Institute3, King Saud University4, College of Health Sciences, Bahrain5, Ankara University6, University of the Western Cape7, Aga Khan University8, National University of Malaysia9, Post Graduate Institute of Medical Education and Research10, Loyola University Chicago11, North-West University12, University of La Frontera13, Simon Fraser University14, Peking Union Medical College15, Centers for Disease Control and Prevention16, Isfahan University of Medical Sciences17, St. John's Medical College18, Laval University19, Wrocław Medical University20, Ottawa Hospital21, Queen's University22, University of Kuala Lumpur23, Universiti Teknologi MARA24, Independence University25, Dubai Health Authority26, University of London27
TL;DR: Major cardiovascular events were more common among those with low levels of education in all types of country studied, but much more so in low-income countries, and differences in outcomes between educational groups were not explained by differences in risk factors.
295 citations
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TL;DR: In this article, three combustion methods and two grinding methods were used to investigate physical characteristics and chemical aspects of rice husk ash (RHA) produced using a rudimentary furnace of the National University of Malaysia (UKM).
290 citations
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TL;DR: This review presents the recent SOC estimation methods highlighting the model-based and data-driven approaches and delivers potential recommendations for the development of SOC estimation method of lithium-ion battery in EV applications.
Abstract: Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising features of high voltage, high energy density, low self-discharge and long lifecycles. The successful operation of EV is highly dependent on the operation of battery management system (BMS). State of charge (SOC) is one of the vital paraments of BMS which signifies the amount of charge left in a battery. A good estimation of SOC leads to long battery life and prevention of catastrophe from battery failure. Besides, an accurate and robust SOC estimation has great significance towards an efficient EV operation. However, SOC estimation is a complex process due to its dependency on various factors such as battery age, ambient temperature, and many unknown factors. This review presents the recent SOC estimation methods highlighting the model-based and data-driven approaches. Model-based methods attempt to model the battery behavior incorporating various factors into complex mathematical equations in order to accurately estimate the SOC while the data-driven methods adopt an approach of learning the battery's behavior by running complex algorithms with a large amount of measured battery data. The classifications of model-based and data-driven based SOC estimation are explained in terms of estimation model/algorithm, benefits, drawbacks, and estimation error. In addition, the review highlights many factors and challenges and delivers potential recommendations for the development of SOC estimation methods in EV applications. All the highlighted insights of this review will hopefully lead to increased efforts toward the enhancement of SOC estimation method of lithium-ion battery for the future high-tech EV applications.
289 citations
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TL;DR: A review of the implementation of membrane technology for produced water treatment could contribute to the knowledge required for the increased introduction of scaled-up membrane technology in the petroleum industry as discussed by the authors, which encompasses the capabilities and performance optimization possibilities of microfiltration, ultrafiltration and nanofiltration membranes.
Abstract: This review provides insight into the implementation of membrane technology in the petroleum industry for treating produced water that is generated from conventional oilfields in upstream and downstream processes. The ever-evolving and increasingly stringent regulatory standards for discharging produced water pose colossal environmental and economic implications because the bulk of this produced water is disposed into the environment. Thus, a review of the implementation of membrane technology for produced water treatment could contribute to the knowledge required for the increased introduction of scaled-up membrane technology in the petroleum industry. This review encompasses the capabilities and performance optimization possibilities of microfiltration, ultrafiltration, nanofiltration, and reverse osmosis membranes. The level of applications that these membrane technologies might attain within the petroleum industry were determined, and these implementations were correlated with the purpose, performance efficiency, treatment system configurations, necessary pretreatment procedures, quality of treated produced water, fouling occurrence and control, foulants, cleaning procedures, raw produced water content, potential challenges with corresponding applied solutions, and economic factors. This review also maps current and future trends and provides a perspective on the outlook for advances in novel membrane applications for produced water treatment.
288 citations
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Christopher J L Murray1, Charlton S K H Callender1, Xie Rachel Kulikoff1, Vinay Srinivasan1 +1092 more•Institutions (424)
TL;DR: This work estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods and used the cohort-component method of population projection, with inputs of fertility, mortality, population, and migration data.
287 citations
Authors
Showing all 26827 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jonathan E. Shaw | 114 | 629 | 108114 |
Sabu Thomas | 102 | 1554 | 51366 |
Biswajeet Pradhan | 98 | 735 | 32900 |
Haji Hassan Masjuki | 97 | 502 | 29653 |
Mika Sillanpää | 96 | 1019 | 44260 |
Choon Nam Ong | 86 | 444 | 25157 |
Keith R. Abrams | 86 | 355 | 30980 |
Kamaruzzaman Sopian | 84 | 989 | 25293 |
Benedikt M. Kessler | 82 | 385 | 24243 |
Michel Marre | 82 | 444 | 39052 |
Peter Willett | 76 | 479 | 29037 |
Peter F. M. Choong | 72 | 532 | 18185 |
Nidal Hilal | 72 | 395 | 21524 |
Margareta Nordin | 72 | 267 | 19578 |
Teuku Meurah Indra Mahlia | 70 | 339 | 17444 |