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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Fracture resistances of heat-treated nickel-titanium files used for minimally invasive instrumentation Ha, Jung-Hong Ha, JH 3 Kyungpook Natl Univ, Coll Dent, Dept Conservat Dent, Daegu, South Korea 0000-0002-0469-4324 Ha, Jung-Hong endokwak@pusan.ac.kr; endoking@knu.ac.kr; gianluca.gambarini@uniroma1.it; golddent@pusan.ac.kr;
Fracture resistances of heat-treated nickel-titanium files used for minimally invasive instrumentation Gambarini, Gianluca Gambarini, G 4 Sapienza Univ Rome, Dept Oral & Maxillofacial Sci, I-00161 Rome, Italy endokwak@pusan.ac.kr; endoking@knu.ac.kr; gianluca.gambarini@uniroma1.it; golddent@pusan.ac.kr;
Fracture resistances of heat-treated nickel-titanium files used for minimally invasive instrumentation Kim, Hyeon-Cheol Kim, HC 5 교신저자 Pusan Natl Univ, Dent Res Inst, Dent & Life Sci Inst, Dept Conservat Dent,Sch Dent, Yangsan, South Korea AAQ-9057-2021 Kim, Hyeon 0000-0001-8032-1194 KIM, HYEON CHEOL endokwak@pusan.ac.kr; endoking@knu.ac.kr; gianluca.gambarini@uniroma1.it; golddent@pusan.ac.kr;
Fracture resistances of heat-treated nickel-titanium files used for minimally invasive instrumentation Kim, Hyeon-Cheol Kim, HC 5 교신저자 Pusan Natl Univ, Dent Res Inst, Sch Dent, Dept Conservat Dent, Geumo Ro 20, Yangsan 50612, Gyeongnam, South Korea AAQ-9057-2021 Kim, Hyeon 0000-0001-8032-1194 KIM, HYEON CHEOL endokwak@pusan.ac.kr; endoking@knu.ac.kr; gianluca.gambarini@uniroma1.it; golddent@pusan.ac.kr;
Frequency Scanning-Based Dynamic Model Parameter Estimation: Case Study on STATCOM Jo, Hyeongjun Jo, H 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Dept Elect Engn, Daegu 41566, South Korea hjun548@knu.ac.kr; wntjd9802@knu.ac.kr; soobae.kim@knu.ac.kr;
Frequency Scanning-Based Dynamic Model Parameter Estimation: Case Study on STATCOM Lee, Juseong Lee, J 2 Kyungpook Natl Univ, Sch Elect & Elect Engn, Dept Elect Engn, Daegu 41566, South Korea hjun548@knu.ac.kr; wntjd9802@knu.ac.kr; soobae.kim@knu.ac.kr;
Frequency Scanning-Based Dynamic Model Parameter Estimation: Case Study on STATCOM Kim, Soobae Kim, S 3 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Dept Elect Engn, Daegu 41566, South Korea hjun548@knu.ac.kr; wntjd9802@knu.ac.kr; soobae.kim@knu.ac.kr;
Frequency-specific neuromuscular adaptations: comparative effects of high- and low-frequency neuromuscular electrical stimulation on muscle function and quality Jo, Hyeon-Deok Jo, HD 1 Kyungpook Natl Univ, Sports Sci Res Inst, Daegu, South Korea kimmk@knu.ac.kr;
Frequency-specific neuromuscular adaptations: comparative effects of high- and low-frequency neuromuscular electrical stimulation on muscle function and quality Kim, Maeng-Kyu Kim, MK 2 교신저자 Kyungpook Natl Univ, Sports Sci Res Inst, Daegu, South Korea kimmk@knu.ac.kr;
Frequency-specific neuromuscular adaptations: comparative effects of high- and low-frequency neuromuscular electrical stimulation on muscle function and quality Kim, Maeng-Kyu Kim, MK 2 교신저자 Kyungpook Natl Univ, Sports Med Lab, Dept Phys Educ, Daegu, South Korea kimmk@knu.ac.kr;
From comparison to integration: Enhancing forward osmosis performance prediction with mathematical and RBF neural network models Nurhayati, Mita Nurhayati, M 1 Kyungpook Natl Univ, Sch Adv Sci & Technol Convergence, 2559 Gyeongsang daero, Sangju Si 37224, South Korea GOJ-8523-2022 Nurhayati, Mita sungyunlee@knu.ac.kr;
From comparison to integration: Enhancing forward osmosis performance prediction with mathematical and RBF neural network models Nurhayati, Mita Nurhayati, M 1 Indonesia Univ Educ, Dept Chem, Setiabudhi 229, Bandung 40154, Indonesia GOJ-8523-2022 Nurhayati, Mita sungyunlee@knu.ac.kr;
From comparison to integration: Enhancing forward osmosis performance prediction with mathematical and RBF neural network models Jeong, Kwanho Jeong, K 2 Chosun Univ, Dept Environm Engn, Gwangju 61452, South Korea sungyunlee@knu.ac.kr;
From comparison to integration: Enhancing forward osmosis performance prediction with mathematical and RBF neural network models Kim, Sangsik Kim, S 3 Kyungpook Natl Univ, Dept Energy Chem Engn, 2559 Gyeongsang Daero, Sangju 37224, Gyeongsangbuk D, South Korea sungyunlee@knu.ac.kr;
From comparison to integration: Enhancing forward osmosis performance prediction with mathematical and RBF neural network models Park, Jongkwan Park, J 4 Changwon Natl Univ, Sch Civil Environm & Chem Engn, Chang Won 51140, Gyeongsangnamdo, South Korea sungyunlee@knu.ac.kr;
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