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Institution

Gadjah Mada University

EducationYogyakarta, 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, Tourism, Government, Catalysis


Papers
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Journal ArticleDOI
TL;DR: Rotavirus prevalence increased slightly in the cool, dry season and a high proportion of genotype P[6] was detected, in combination with the common G types G1 and G9.
Abstract: Globally rotavirus is the leading cause of diarrhea-related hospitalizations and deaths among young children but the burden of rotavirus disease in Indonesia is poorly documented. From January through December 2006 we conducted prospective surveillance (inpatient and outpatient) among children aged <5 years at 6 hospitals in 6 provinces of Indonesia using standardized methodology. Of 2240 enrolled children hospitalized for diarrhea 1345 (60%) were rotavirus positive. Of 176 children enrolled in outpatient clinics in 3 hospitals 73 (41%) were rotavirus positive. Among children hospitalized for diarrhea dehydration was more common among those who tested positive for rotavirus than among those who did not (91% vs 82%; [Formula: see text]) as was vomiting (86% vs 67%; [Formula: see text]). Children aged 6-23 months experienced 72% of all rotavirus episodes. Rotavirus prevalence increased slightly in the cool dry season. The most commonly detected genotypes were G9 (30%) and P[6] (56%). G1P[6] and G9P[6] accounted for 34% and 21% of strains respectively. A high proportion of genotype P[6] was detected in combination with the common G types G1 and G9. Available rotavirus vaccines would likely be efficacious against the most common circulating strains but continued monitoring of uncommon genotypes is needed.

64 citations

Journal ArticleDOI
20 Jun 2017-PLOS ONE
TL;DR: Research on social determinants of health and policy-relevant research need to be expanded and strengthened to the extent that a reduction of the total NCD burden and inequalities therein should be treated as related and mutually reinforcing priorities.
Abstract: BACKGROUND: Chronic noncommunicable diseases (NCDs) have emerged as a huge global health problem in low- and middle-income countries. The magnitude of the rise of NCDs is particularly visible in So ...

64 citations

Journal ArticleDOI
30 Nov 2017
TL;DR: In this paper, the optimal mixing temperature and duration of sonication in liposomes preparation using new heating methods and sonication were performed by factorial design with 2 factors and 3 levels to obtain optimal liposome size.
Abstract: Liposomes are a delivery system used in pharmaceutical products and cosmetics. Liposomes have many advantages such as increase stability and efficacy, can be targeted to reduce toxicity and increase accumulation at the target site and are biocompatible. Preparation of liposomes can be done by conventional or new methods which are still being developed. Conventional methods often require a long time and organic solvents which may be toxic. Heating (Mozafari method) is one of the new methods developed in the manufacture of liposomes without organic solvents. Mixing temperature can affect the physical properties of liposomes. The particle size has become one of the important physical properties because it affects the absorption of the drug. Sonication is an easy method of choice in reducing the size of liposomes. Optimization of mixing temperature and duration of sonication in liposomes’ preparation using new heating methods and sonication were performed by factorial design with 2 factors and 3-levels to obtain optimal liposome size. Data were analyzed with two-way ANOVA. The results showed that both mixing temperature and sonication duration significantly affect liposome size, but the interaction was not statistically significant. Data analysis also showed that mixing temperature, sonication, and their interaction do not affect the polydispersity index of liposome. Results showed the optimum mixing temperature and sonication duration that can produce liposomes with size below 100 nm is at 60°C for 30 minutes.

64 citations

Proceedings ArticleDOI
06 Mar 2018
TL;DR: The research findings showed that adding PCA method version 2 could increase the accuracy of speech recognition from the conventional MFCC method without PCA in increasing from 86.43% to 89.29% and decreasing of the data dimension from 26 to 10 feature dimensions.
Abstract: In the pattern recognition system, there are many methods used. For speech recognition system, Mel Frequency Cepstral Coefficients (MFCC) becomes a popular feature extraction method but it has various weaknesses especially about the accuracy level and the high of result feature dimension of the extraction method. This paper presents the combination of MFCC feature extraction method with Principal Component Analysis (PCA) to improve the accuracy in Indonesian speech recognition system. By combining MFCC and PCA, it was expected to increase the accuracy system and reduce the feature data dimension. The result of MFCC data features extraction added with delta coefficients formed matrix data that later would be reduced using PCA. PCA method in the process of data reduction was designed to be two versions. Then the result of PCA reduction data was processed to the classification process using K-Nearest Neighbour (KNN) method. Composing the data was formed from 140 speech data that were recorded from 28 speakers. The research findings showed that adding PCA method version 1 could reduce the feature dimension from 26 to 12 by the same accuracy of speech recognition with the conventional MFCC method without PCA, that is 86.43%. Whereas PCA method version 2 could increase the accuracy of speech recognition from the conventional MFCC method without PCA in increasing from 86.43% to 89.29% and decreasing of the data dimension from 26 to 10 feature dimensions.

64 citations

Journal ArticleDOI
TL;DR: In this article, the influence of molybdenum disulfide (MoS2) powder suspended in dielectric fluid on the performance of micro-EDM of Inconel 718 with focus in obtaining quality microholes.
Abstract: Inconel 718 is an extremely hard and difficult-to-cut material used extensively in manufacturing because of its superior wear and corrosion resistance. Microelectrical discharge machining (micro-EDM) is one of the effective methods of machining this extremely hard material. However, due to short circuiting and arcing, the surface of microholes produced by micro-EDM has black traces and cones. This study investigates the influence of molybdenum disulfide (MoS2) powder suspended in dielectric fluid on the performance of micro-EDM of Inconel 718 with focus in obtaining quality microholes. It was observed that MoS2 powder suspension with 50 nm of size and 5 g/l of concentration can produce better quality microholes in Inconel 718. Moreover, it was also found that 50 nm MoS2 powder was the best powder size to achieve the highest material removal rate.

64 citations


Authors

Showing all 17450 results

NameH-indexPapersCitations
Bunsho Ohtani7137119052
Lawrence H. Moulton7126620663
John M. Nicholls6623119014
Paul Meredith5930815489
Bernd M. Rode5244111367
Jan-Willem C. Alffenaar432946378
Bernd Lehmann412186027
Nawi Ng391524470
Jean-Philippe Gastellu-Etchegorry381924860
Mohd Hamdi381905846
Keiko Sasaki363195341
Jos G. W. Kosterink361675132
A. C. Hayward341066538
Eileen S. Scott331773187
Michael R. Dove331424334
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202346
2022201
20212,264
20203,105
20192,810
20182,588