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Št. zadetkov: 5
Effect of the nitrogen environment on indium gallium zinc oxide thin film transistors with low temperature ultraviolet annealing
Kunsik An, Yoon Jae Moon, Jun Young Kim, Joel Ndikumana, Kyung-Tae Kang
Izvirni znanstveni članek
Oznake: MEC;IGZO TFTs;low temperature;nitrogen annealing effect;oxide semiconductor;thin film transistor;
This study explores the influence of nitrogen gas flow rate on the electrical characteristics of indium-gallium-zinc-oxide (IGZO) thin-film transistors (TFTs) annealed under heat-assisted UV illumination. The aim is to understand how nitrogen flow rates impact the performance of solution-processed I ...
Leto: 2025 Vir: Repozitorij Univerze v Ljubljani (RUL)
History of Protestantism in Ukraine
Ho-woog Kim, Jun-ki Chung
Izvirni znanstveni članek
Oznake: Calvinism;Christianity;Lutheranism;Reformation;Protestantism;Stundism;
This article examines the history and current state of Protestantism in Ukraine. The research explores the causes and consequences of the growth and decline of Protestantism in the country, as well as the development and situation of Protestant communities in modern Ukraine. The study utilizes gener ...
Leto: 2023 Vir: Teološka fakulteta (UL TEOF)
Successful multiculturalism in education
Kang-Hyun Kim, Jun-ki Chung
Izvirni znanstveni članek
Oznake: cultural inclusivity;educational infrastructure;diversity;social coexistence;inclusiveness;
Članek analizira uresničevanje načel multikulturalizma na področju izobraževanja v Ukrajini, katerega namen je spodbujanje medsebojnega razumevanja in sožitja različnih kultur. Uporabljene metode vključujejo sintezo ter kulturno, konceptualno in strukturno analizo, s pomočjo katerih so opredeljeni k ...
Leto: 2025 Vir: Inštitut za narodnostna vprašanja (INV)
AGRA: analysis of gene ranking algorithms
Simon Kocbek, Rune Saetre, Gregor Štiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou, Jun-ichi Tsujii
Izvirni znanstveni članek
Oznake: genetic algorithms;
Often, the most informative genes have to be selected from different gene setsand several computer gene ranking algorithms have been developed to cope with the problem. To help researchers decide which algorithm to use, we developed the Analysis of Gene Ranking Algorithms (AGRA) system that offers a ...
Leto: 2011 Vir: Fakulteta za zdravstvene vede (UM FZV)
Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from Pubmed publications
Simon Kocbek, Rune Saetre, Gregor Štiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou, Jun-ichi Tsujii
Objavljeni povzetek znanstvenega prispevka na konferenci
Oznake: DNA microarray;gene ranking;algorithms;Pubmed publications;
Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from Pubmed publications
Leto: 2011 Vir: Fakulteta za zdravstvene vede (UM FZV)
Št. zadetkov: 5
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