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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
Exosomes in Bone Cancer: Unveiling their Vital Role in Diagnosis, Prognosis, and Therapeutic Advancements Gangadaran, Prakash Gangadaran, P 10 교신저자 Kyungpook Natl Univ, Sch Med, Dept Biomed Sci, FOUR KNU Convergence Educ Program Biomed Sci Creat, Daegu 41944, South Korea AAV-3102-2021 Gangadaran, Prakash prakashg@knu.ac.kr;abc2000@knu.ac.kr;Krishnana1@ufs.ac.za;
Exosomes in Bone Cancer: Unveiling their Vital Role in Diagnosis, Prognosis, and Therapeutic Advancements Ahn, Byeong-Cheol Ahn, BC 11 교신저자 Kyungpook Natl Univ, Sch Med, Dept Nucl Med, Daegu 41944, South Korea prakashg@knu.ac.kr;abc2000@knu.ac.kr;Krishnana1@ufs.ac.za;
Exosomes in Bone Cancer: Unveiling their Vital Role in Diagnosis, Prognosis, and Therapeutic Advancements Ahn, Byeong-Cheol Ahn, BC 11 교신저자 Kyungpook Natl Univ Hosp, Dept Nucl Med, Daegu 41404, South Korea prakashg@knu.ac.kr;abc2000@knu.ac.kr;Krishnana1@ufs.ac.za;
Exosomes in Bone Cancer: Unveiling their Vital Role in Diagnosis, Prognosis, and Therapeutic Advancements Ahn, Byeong-Cheol Ahn, BC 11 교신저자 Kyungpook Natl Univ, Sch Med, Dept Biomed Sci, FOUR KNU Convergence Educ Program Biomed Sci Creat, Daegu 41944, South Korea prakashg@knu.ac.kr;abc2000@knu.ac.kr;Krishnana1@ufs.ac.za;
Exosomes in Bone Cancer: Unveiling their Vital Role in Diagnosis, Prognosis, and Therapeutic Advancements Krishnan, Anand Krishnan, A 12 교신저자 Univ Free State, Fac Hlth Sci, Sch Pathol, Dept Chem Pathol, ZA-9300 Bloemfontein, South Africa C-5178-2015 Krishnan, Anand prakashg@knu.ac.kr;abc2000@knu.ac.kr;Krishnana1@ufs.ac.za;
Expected Benefits of Coordinated Energy Storage Operation in Stochastic Unit Commitment With Enhanced Deliverability of Reserves Park, Heejung Park, H 1 교신저자 Kyungpook Natl Univ, Sch Energy Engn, Daegu 37224, South Korea h.park@knu.ac.kr;mckim@chungbuk.ac.kr;
Expected Benefits of Coordinated Energy Storage Operation in Stochastic Unit Commitment With Enhanced Deliverability of Reserves Kim, Myungchin Kim, M 2 교신저자 Chungbuk Natl Univ, Sch Elect Engn, Cheongju 28644, South Korea h.park@knu.ac.kr;mckim@chungbuk.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Kim, Bolam Kim, B 1 Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Manchuri, Amaranadha Reddy Manchuri, AR 2 Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea J-3982-2016 Manchuri, Amaranadha Reddy daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Oh, Gi-Taek Oh, GT 3 Keimyung Univ, Dept Chem Engn, 1095 Dalgubeol Daero, Daegu 42601, South Korea daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Lim, Youngsu Lim, Y 4 Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Son, Yuhwa Son, Y 5 Korea Radioact Waste Agcy, LILW Technol Team, 19 Chunghyochun Gil, Gyeongju Si 38062, Gyeongsangbug D, South Korea daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Choi, Seho Choi, S 6 Korea Radioact Waste Agcy, LILW Technol Team, 19 Chunghyochun Gil, Gyeongju Si 38062, Gyeongsangbug D, South Korea daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Kang, Myunggoo Kang, M 7 Korea Radioact Waste Agcy, LILW Technol Team, 19 Chunghyochun Gil, Gyeongju Si 38062, Gyeongsangbug D, South Korea daesung@knu.ac.kr;
Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents Jang, Jiseon Jang, J 8 Korea Radioact Waste Agcy, HLW Technol Dev Inst, 174 Gajeong Ro, Daejeon 34129, South Korea daesung@knu.ac.kr;
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