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Institution

National Chung Cheng University

EducationChiayi City, Taiwan
About: National Chung Cheng University is a education organization based out in Chiayi City, Taiwan. It is known for research contribution in the topics: CMOS & Fuzzy logic. The organization has 10287 authors who have published 13569 publications receiving 262317 citations. The organization is also known as: CCU.


Papers
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Journal ArticleDOI
TL;DR: This paper describes a self-organizing, multihop, mobile radio network which relies on a code-division access scheme for multimedia support that provides an efficient, stable infrastructure for the integration of different types of traffic in a dynamic radio network.
Abstract: This paper describes a self-organizing, multihop, mobile radio network which relies on a code-division access scheme for multimedia support. In the proposed network architecture, nodes are organized into nonoverlapping clusters. The clusters are independently controlled, and are dynamically reconfigured as the nodes move. This network architecture has three main advantages. First, it provides spatial reuse of the bandwidth due to node clustering. Second, bandwidth can be shared or reserved in a controlled fashion in each cluster. Finally, the cluster algorithm is robust in the face of topological changes caused by node motion, node failure, and node insertion/removal. Simulation shows that this architecture provides an efficient, stable infrastructure for the integration of different types of traffic in a dynamic radio network.

1,695 citations

Journal ArticleDOI
TL;DR: By use of the membrane-templated synthesis route, hydrous RuO2 (RuO2.xH2O) nanotubular arrayed electrodes were successfully synthesized by means of the anodic deposition technique, exhibiting unexpectedly ultrahigh power characteristics with its frequency "knee" reaching ca.
Abstract: By use of the membrane-templated synthesis route, hydrous RuO2 (RuO2·xH2O) nanotubular arrayed electrodes were successfully synthesized by means of the anodic deposition technique. The desired three-dimensional mesoporous architecture of RuO2·xH2O nanotubular arrayed electrodes with annealing in air at 200 °C for 2 h simultaneously maintained the facility of electrolyte penetration, the ease of proton exchange/diffusion, and the metallic conductivity of crystalline RuO2, exhibiting unexpectedly ultrahigh power characteristics with its frequency “knee” reaching ca. 4.0−7.8 kHz, 20−40 times better than that of RuO2 single crystalline, arrayed nanorods. The specific power and specific energy of annealed RuO2·xH2O nanotubes measured at 0.8 V and 4 kHz is equal to 4320 kW kg-1 and 7.5 W h kg-1, respectively, demonstrating the characteristics of next generation supercapacitors.

1,612 citations

Journal Article
TL;DR: A vague set is a set of objects, each of which has a grade of membership whose value is a continuous subinterval of according to the inequality of the following type:
Abstract: A vague set is a set of objects, each of which has a grade of membership whose value is a continuous subinterval of

1,567 citations

Journal ArticleDOI
TL;DR: In this paper, the authors showed that the dependence of λmax for longitudinal resonance on the mean aspect ratio shows a deviation from the classical electrostatic model prediction at mean aspect ratios around 4 ± 1.
Abstract: Aqueous solutions containing a high yield of suspended gold nanorods have been successfully synthesized via an electrochemical method. The control of preparing gold nanorods with different aspect ratios can be attained. Their absorption spectral features show a dominant surface plasma band corresponding to the longitudinal resonance, SPl, and its λmax shifts markedly to the red as the aspect ratio is increased. Meanwhile, the dependence of λmax for longitudinal resonance on the mean aspect ratio shows a deviation from the classical electrostatic model prediction at mean aspect ratios around 4 ± 1, where it limits the validity of the classical electrostatic approximation.

1,537 citations

Journal ArticleDOI
TL;DR: It is asserted that epithelial ovarian cancers derive from a subpopulation of CD44(+)CD117(+) cells, thus representing a possible therapeutic target for this devastating disease.
Abstract: The objective of this study was to identify and characterize a self-renewing subpopulation of human ovarian tumor cells (ovarian cancer-initiating cells, OCICs) fully capable of serial propagation of their original tumor phenotype in animals. Ovarian serous adenocarcinomas were disaggregated and subjected to growth conditions selective for self-renewing, nonadherent spheroids previously shown to derive from tissue stem cells.To affirm the existence of OCICs, xenoengraftment of as few as 100 dissociated spheroid cells allowed full recapitulation of the original tumor (grade 2/grade 3 serous adenocarcinoma), whereas >10 5 unselected cells remained nontumorigenic.Stemness properties of OCICs (under stem cell–selective conditions) were further established by cell proliferation assays and reverse transcription–PCR, demonstrating enhanced chemoresistance to the ovarian cancer chemotherapeutics cisplatin or paclitaxel and up-regulation of stem cell markers (Bmi-1, stem cell factor, Notch-1, Nanog, nestin, ABCG2, and Oct-4) compared with parental tumor cells or OCICs under differentiating conditions.To identify an OCIC cell surface phenotype, spheroid immunostaining showed significant up-regulation of the hyaluronate receptor CD44 and stem cell factor receptor CD117 (c-kit), a tyrosine kinase oncoprotein.Similar to sphere-forming OCICs, injection of only 100 CD44 + CD117 + cells could also serially propagate their original tumors, whereas 10 5 CD44CD117 cells remained nontumorigenic.Based on these findings, we assert that epithelial ovarian cancers derive from a subpopulation of CD44 + CD117 + cells, thus representing a possible therapeutic target for this devastating disease. [Cancer Res 2008;68(11):4311–20]

1,264 citations


Authors

Showing all 10320 results

NameH-indexPapersCitations
Pan-Chyr Yang10278646731
Ming-Jer Tsai9942840109
Pi-Tai Chou9061430922
F. J. Himpsel8447624463
Ru-Shi Liu8273826699
Stephen Z. D. Cheng7952622603
Chi-Chang Hu7029917923
Chin-Chen Chang69120522366
Keshab K. Parhi6874920097
Shie-Ming Peng6587322887
Din Ping Tsai6553218101
Jiann T. Lin5819010801
Ludwik Adamowicz5764214509
Chia Chun Chen5616310634
Theodore E. Madey5525910347
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
202256
2021481
2020522
2019431
2018475