Institution
Gadjah Mada University
Education•Yogyakarta, Indonesia•
About: Gadjah Mada University is a education organization based out in Yogyakarta, Indonesia. It is known for research contribution in the topics: Population & Adsorption. The organization has 17307 authors who have published 21389 publications receiving 116561 citations. The organization is also known as: University of Gajah Mada & Universitas Gadjah Mada.
Topics: Population, Adsorption, Medicine, Context (language use), Government
Papers published on a yearly basis
Papers
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TL;DR: Ginger extracts and its compound, 6-shogaol, reduced pain symptoms in PDN via its effect on decreasing TRPV1 and NMDAR2B expressions in the spinal cord, with very limited effect on pancreatic islets.
35 citations
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01 Mar 2018
TL;DR: Indonesia is the world's third largest democracy (after India and the USA) and the only fully democratic Muslim democracy, yet it remains little known in the comparative politics literature as mentioned in this paper.
Abstract: Indonesia is the world's third largest democracy (after India and the USA) and the only fully democratic Muslim democracy, yet it remains little known in the comparative politics literature. This book aspires to do for Indonesian political studies what The American Voter did for American political science. It contributes a major new case, the world's largest Muslim democracy, to the latest research in cross-national voting behavior, making the unique argument that Indonesian voters, like voters in many developing and developed democracies, are 'critical citizens' or critical democrats. The analysis is based on original opinion surveys conducted after every national-level democratic election in Indonesia from 1999 to the present by the respected Indonesian Survey Institute and Saiful Mujani Research and Consulting.
34 citations
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TL;DR: In this article, a thorough investigation about the influence of palm sugar on the rheological, microstructural and textural characteristics of chocolate was carried out through partial replacement of sucrose as chocolate sweetener.
Abstract: Palm sugar, a natural alternative sweetener which can be made from the nectar of several species of palm tree flowers, recently gains more interest. Due to its physicochemical characteristics, utilisation of palm sugar as chocolate sweetener results in different quality attributes of chocolate. In this work, a thorough investigation about the influence of palm sugar on the rheological, microstructural and textural characteristics of chocolate was carried out through partial replacement of sucrose as chocolate sweetener. Accordingly, five sucrose–palm sugar blends with different palm sugar (PS) proportion, namely PS0, PS25, PS50, PS75, and PS100 were used as chocolate sweetener. The results showed that the Casson yield value of chocolate containing palm sugar was lower than the Casson yield value of chocolate sweetened with pure sucrose which could be attributed to the presence of agglomerates in the chocolate suspension. However, palm sugar-sweetened chocolate exhibited a higher Casson viscosity and thixotropy which could be mainly attributed to the presence of glucose and fructose and the relatively high moisture content. These factors also influenced the hardness of the chocolate to some extent. A lower melting temperature and enthalpy value of the sugar phase in chocolate were observed by DSC, whereas visualisation using SEM, polarised and normal light microscopy indicated increased agglomeration due to the presence of moisture, amorphous sugar and chemical “impurities”. Rheological behaviour of molten chocolate, hardness and polarised–normalised light microscopy were evaluated at a constant temperature of 40, 20, and 50 °C, respectively, while the melting profile was measured from 20 to 200 °C at a rate of 5 °C/min.
34 citations
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TL;DR: In this article, single and binary H2/CO2 gas permeation was studied through a silicalite-1 composite membrane consisting of a thin zeolite film (< 1 µm) supported on α-alumina.
34 citations
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TL;DR: By using C4.5 algorithms, data can be interpreted in the form of a decision tree, to aid the understanding of the clinician, and the proposed system can provide better performance by category.
Abstract: Objectives
The interpretation of clinical data for the diagnosis of coronary heart disease can be done using algorithms in data mining. Most clinical data interpretation systems for diagnosis developed using data mining algorithms with a black-box approach cannot recognize examination attribute relationships with the incidence of coronary heart disease.
34 citations
Authors
Showing all 17450 results
Name | H-index | Papers | Citations |
---|---|---|---|
Bunsho Ohtani | 71 | 371 | 19052 |
Lawrence H. Moulton | 71 | 266 | 20663 |
John M. Nicholls | 66 | 231 | 19014 |
Paul Meredith | 59 | 308 | 15489 |
Bernd M. Rode | 52 | 441 | 11367 |
Jan-Willem C. Alffenaar | 43 | 294 | 6378 |
Bernd Lehmann | 41 | 218 | 6027 |
Nawi Ng | 39 | 152 | 4470 |
Jean-Philippe Gastellu-Etchegorry | 38 | 192 | 4860 |
Mohd Hamdi | 38 | 190 | 5846 |
Keiko Sasaki | 36 | 319 | 5341 |
Jos G. W. Kosterink | 36 | 167 | 5132 |
A. C. Hayward | 34 | 106 | 6538 |
Eileen S. Scott | 33 | 177 | 3187 |
Michael R. Dove | 33 | 142 | 4334 |