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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
Application of biosolid for berseem clover fertilization: Fodder characteristics and health risk assessment Kumar, Pankaj Kumar, P 5 교신저자 Soc Agroenvironm Sustainabil, Res & Dev Div, Dehra Dun 248007, India AAF-2231-2019 Kumar, Pankaj 0000-0003-0346-0910 Kumar, Pankaj kumarpankajgkv@gmail.com;
Application of biosolid for berseem clover fertilization: Fodder characteristics and health risk assessment Fayssal, Sami Abou Fayssal, SA 6 Univ Forestry, Fac Agron, Dept Agron, Sofia 1797, Bulgaria ABF-6226-2020 Abou Fayssal, Sami 0000-0003-1106-2568 Abou Fayssal, Sami kumarpankajgkv@gmail.com;
Application of biosolid for berseem clover fertilization: Fodder characteristics and health risk assessment Fayssal, Sami Abou Fayssal, SA 6 Lebanese Univ, Fac Agr, Dept Plant Prod, Beirut 1302, Lebanon ABF-6226-2020 Abou Fayssal, Sami 0000-0003-1106-2568 Abou Fayssal, Sami kumarpankajgkv@gmail.com;
Application of biosolid for berseem clover fertilization: Fodder characteristics and health risk assessment Adelodun, Bashir Adelodun, B 7 Univ Ilorin, Dept Agr & Biosyst Engn, Ilorin 240103, Nigeria O-2941-2018 Adelodun, Bashir kumarpankajgkv@gmail.com;
Application of biosolid for berseem clover fertilization: Fodder characteristics and health risk assessment Adelodun, Bashir Adelodun, B 7 Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea O-2941-2018 Adelodun, Bashir kumarpankajgkv@gmail.com;
Application of biosolid for berseem clover fertilization: Fodder characteristics and health risk assessment Eid, Ebrahem M. Eid, EM 8 Kafrelsheikh Univ, Fac Sci, Bot Dept, Kafr Al Sheikh 33516, Egypt O-2723-2013 Eid, Ebrahem kumarpankajgkv@gmail.com;
Application of CuNPs and AMF alleviates arsenic stress by encompassing reduced arsenic uptake through metabolomics and ionomics alterations in Elymus sibiricus Gatasheh, Mansour K. Gatasheh, MK 1 King Saud Univ, Coll Sci, Dept Biochem, POB 2455, Riyadh 11451, Saudi Arabia AAP-9414-2021 Gatasheh, Mansour anisalibot@gmail.com;miansheerazusman@gmail.com;
Application of CuNPs and AMF alleviates arsenic stress by encompassing reduced arsenic uptake through metabolomics and ionomics alterations in Elymus sibiricus Shah, Anis Ali Shah, AA 2 교신저자 Univ Educ, Dept Bot, Div Sci & Technol, Lahore, Pakistan AAV-2232-2020 Shah, Dr. Anis 0000-0003-2071-9939 Shah, Anis Ali anisalibot@gmail.com;miansheerazusman@gmail.com;
Application of CuNPs and AMF alleviates arsenic stress by encompassing reduced arsenic uptake through metabolomics and ionomics alterations in Elymus sibiricus Kaleem, Muhammad Kaleem, M 3 Univ Educ, Dept Bot, Div Sci & Technol, Lahore, Pakistan anisalibot@gmail.com;miansheerazusman@gmail.com;
Application of CuNPs and AMF alleviates arsenic stress by encompassing reduced arsenic uptake through metabolomics and ionomics alterations in Elymus sibiricus Usman, Sheeraz Usman, S 4 교신저자 Univ Educ, Dept Bot, Div Sci & Technol, Lahore, Pakistan KZU-1594-2024 Usman, Sheeraz 0000-0002-4218-0682 Usman, Sheeraz anisalibot@gmail.com;miansheerazusman@gmail.com;
Application of CuNPs and AMF alleviates arsenic stress by encompassing reduced arsenic uptake through metabolomics and ionomics alterations in Elymus sibiricus Shaffique, Shifa Shaffique, S 5 Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, 80 Daehak Ro, Daegu 41566, South Korea KUC-7102-2024 shaffique, shifa anisalibot@gmail.com;miansheerazusman@gmail.com;
Application of Deep Neural Networks for the Parameter Identifications of Lumped and Distributed Parameter Models Under Severe Noises and Various Initial Values Song, Byoung-Gyu Song, BG 1 Kyungpook Natl Univ, Sch Mech Engn, Daegu, South Korea 0009-0008-8054-4396 Song, Byoung-Gyu nckang@knu.ac.kr;
Application of Deep Neural Networks for the Parameter Identifications of Lumped and Distributed Parameter Models Under Severe Noises and Various Initial Values Kang, Namcheol Kang, N 2 교신저자 Kyungpook Natl Univ, Sch Mech Engn, Daegu, South Korea nckang@knu.ac.kr;
Application of Machine-Learning for Detecting Gas Indicator Distribution from Seismic Data Won, Jongpil Won, J 1 Kyungpook Natl Univ, Dept Geol, Daegu 41566, South Korea hgjun@knu.ac.kr;
Application of Machine-Learning for Detecting Gas Indicator Distribution from Seismic Data Jun, Hyunggu Jun, H 2 교신저자 Kyungpook Natl Univ, Dept Geol, Daegu 41566, South Korea hgjun@knu.ac.kr;
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