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Institution

MingDao University

EducationBitou, Taiwan
About: MingDao University is a education organization based out in Bitou, Taiwan. It is known for research contribution in the topics: Thin film & Coating. The organization has 557 authors who have published 903 publications receiving 17915 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the impacts of the green energy artificial floating island (GAFI) on indicator species to determine the water-quality improvement by using GAFI.

14 citations

Journal ArticleDOI
TL;DR: In this article, a fish pathogen reduction procedure that uses TiO 2 sol-gel coating Fe 3 O 4 @TiO 2 powder on glass substrate was demonstrated. But the authors did not consider the possibility of recovering from water for reuse.

14 citations

Journal ArticleDOI
TL;DR: In this article, a method for mesostructured cobalt oxide sensor fabrication by the template replication method and immobilization using dielectrophoresis process is presented, which consists of enriching the mesostructure of cobalt oxides in a microelectrode gap.
Abstract: The paper presents a method for mesostructured cobalt oxide sensor fabrication by the template replication method and immobilization using dielectrophoresis process The method consists of enriching the mesostructured cobalt oxide particles in a microelectrode gap that drove mesostructured cobalt oxide particles to a high electric field region and then exposed to CO gas The cobalt oxide sensor has improved sensing performance in carbon monoxide (CO) detection at concentration as low as 10 ppm and a very short recovering time, due to the higher surface area

14 citations

Journal ArticleDOI
TL;DR: A biotic ligand model (BLM)-based toxicodynamic approach is developed to dynamically predict both acute and chronic effective concentrations of As to tilapia in twotilapia farms located at Pudai and Chiangchun counties in southwestern Taiwan.
Abstract: Farming of tilapia Oreochromis mossambicus is an important aquacultural activity in Taiwan. Due to the elevated arsenic (As) concentration in pond water, it is important to assess the bioavailability and toxicity of As to tilapia for protection of aquatic life and human health. In the present study, we developed a biotic ligand model (BLM)-based toxicodynamic approach to dynamically predict both acute and chronic effective concentrations of As to tilapia in two tilapia farms located at Pudai and Chiangchun counties in southwestern Taiwan. Parameters revealed in the mechanistic model were obtained by fitting this model to the toxicokinetic and toxicodynamic data from our previous laboratory experiments. Based on our extended BLM concepts, the site-specific water effect ratios and ambient water quality criteria can be determined with known water chemistry. The proposed methodology was capable of bridging the gap between laboratory toxicity bioassays and field investigations. With respect to risk assessments, our research may also provide an useful means of generating and adjusting the site-specific ambient water quality criteria.

14 citations

Journal ArticleDOI
TL;DR: In this paper, a dc magnetron sputter (dcMS) deposition and a pulsed dcMS deposition methods were used respectively to deposit TiN and W 2 N coatings in a mixture gas of Ar and N 2.
Abstract: A dc magnetron sputter (dcMS) deposition and a pulsed dcMS deposition methods were used respectively to deposit TiN and W 2 N coatings in a mixture gas of Ar and N 2 . Single layer TiN and W 2 N were first obtained to determine the deposition condition for the multilayers. TiN/W 2 N multilayers were deposited and the effects of the substrate rotation speed and the N 2 /Ar concentration on microstructure, hardness, and the corrosion property have been examined. It was observed that the multilayer TiN/W 2 N adheres well onto the substrate. In addition, the hardness and the anti-corrosion property of the multilayer are also better than that of the single-layer coatings.

14 citations


Authors

Showing all 560 results

NameH-indexPapersCitations
Ming-Lang Tseng503079968
Jenn-Jiang Hwang361103541
Da-Yung Wang33742399
Anthony S.F. Chiu331144732
Jeng Jong Hwang301022319
Zeng-Yei Hseu291092730
Jyh-Ming Ting291462813
Yin-Yu Chang26541509
Chi-Lung Chang25581517
Mu-Kuan Chen25871742
Kai-Shing Yang23771516
Lawrence W. Lan23861844
Chin-Yuan Fan21451602
Kai-Wei Juang21421268
Wei-Yu Ho2033963
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20223
202135
202020
201922
201824