Search

Your search keyword '"Nei, Y."' showing total 97 results
Start Over Author "Nei, Y."
97 results on '"Nei, Y."'

2. Selecting Projects on the Brazilian R&D Energy Sector: A Fuzzy-Based Approach for Criteria Selection

Author

Dalton G. B. Souza, Carlos E. S. Silva, and Nei Y. Soma

Subjects
AHP, criteria selection, DEMATEL, fuzzy, MCDM, project portfolio, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Many companies around the world rely on R&D to better their chances for profit and permanence in a dynamic market. To keep up with ongoing changes, many ideas arise and some transform into projects. Since resources are limited, organizations seek to select only the most suitable projects to meet their objectives. This is an old practice. However, project portfolio characteristics have changed. The portfolio objectives of today go beyond profit: strategy, environment and society have also become important, along with many other decision criteria. Computational power has also been enhanced, making multi-data decision approaches more feasible, even for small-profit organizations. In the last half century, many authors have proposed multicriteria decision making (MCDM) methods for project portfolio selection (PPS) for Research and Development (R&D). Nevertheless, only a few paid due importance to the criteria used, which would be a central issue on any multicriteria decision. Thus, in order to contribute to the R&D PPS field of study, this work investigates the hypothesis that the criteria used in R&D PPS can be selected in an uncertain environment, according to their influence and importance. To do so, we propose a novel MCDM approach for criteria selection, that integrates Fuzzy-based DEMATEL (Decision Making Trial and Evaluation Laboratory) and Fuzzy-AHP (Analytic Hierarchy Process) Extend Analysis methods. We are also presenting a case study for a representative electrical-public Brazilian R&D organization, that from 2008 to 2018 managed R&D project portfolios valued at around US$1.2 billion. The results reflect current Brazilian concerns on the prioritized criteria, such as environmental, social and technical criteria, especially on the face of the disaster occurrences that took place on the media on the last years. In an overall manner, the results provide guidance on the topic and facilitate knowledge accumulation and creation concerning the criteria selection process in MCDM-based R&D PPS.

Published
2020
Full Text
View/download PDF

6. Global consortium for the classification of fungi and fungus-like taxa

Author

Hyde, K.D., Abdel-Wahab, M.A., Abdollahzadeh, J., Abeywickrama, P.D., Absalan, S., Afshari, N., Ainsworth, A.M., Akulov, O.Y., Aleoshin, V.V., Al-Sadi, A.M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T.B., Anderson, J., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C.C.S., Araújo, J.P.M., Ariyawansa, H.A., Armand, A., Arumugam, E., Asghari, R., Assis, D.M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A.H., Bakhshi, M., Banihashemi, Z., Bao, D.F., Baral, H.O., Barata, M., Barbosa, F., Barbosa, R.N., Barreto, R.W., Baschien, C., Belamesiatseva, D.B., Bennett Reuel, M., Bera, I., Bezerra, J.D.P., Bezerra, J.L., Bhat, D.J., Bhunjun, C.S., Bianchinotti, M.V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M.E.S., Caeiro, M.F., Cai, L., Cai, M.F., Calabon, M.S., Calaça, F.J.S., Callalli, M., Camara, M.P.S., Cano-Lira, J.F., Cantillo, T., Cao, B., Carlavilla, J.R., Carvalho, A., Castañeda-Ruiz, R.F., Castlebury, L., Castro-Jauregui, O., Catania, M.D.V., Cavalcanti, L.H., Cazabonne, J., Cedeño-Sanchez, M.L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C.Y., Chen, K.H., Chen, J., Chen, Q., Chen, W.H., Chen, Y.P., Chethana, K.W.T., Coleine, C., Condé, T.O., Corazon-Guivin, M.A., Cortés-Pérez, A., Costa-Rezende, D.H., Courtecuisse, R., Crouch, J.A., Crous, P.W., Cui, B.K., Cui, Y.Y., da Silva, D.K.A., da Silva, G.A., da Silva, I.R., da Silva, R.M.F., da Silva Santos, A.C., Dai, D.Q., Dai, Y.C., Damm, U., Darmostuk, V., Daroodi, Z., Das, K., Davoodian, N., Davydov, E.A., Dayarathne, M.C., Decock, C., de Groot, M.D., De Kesel, A., dela Cruz, T.E.E., De Lange, R., Delgado, G., Denchev, C.M., Denchev, T.T., de Oliveira, N.T., de Silva, N.I., de Souza, F.A., Dentinger, B., Devadatha, B., Dianese, J.C., Dima, B., Diniz, A.G., Dissanayake, A.J., Dissanayake, L.S., Doğan, H.H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z.Y., Dos Santos, L.A., Drechsler-Santos, E.R., Du, T.Y., Dubey, M.K., Dutta, A.K., Egidi, E., Elliott, T.F., Elshahed, M.S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H.C., Fan, X.L., Fan, Y.G., Fedosova, A.G., Fell, J., Fernandes, I., Firmino, A.L., Fiuza, P.O., Flakus, A., Fragoso de Souza, C.A., Frisvad, J.C., Fryar, S.C., Gabaldón, T., Gajanayake, A.J., Galindo, L.J., Gannibal, P.B., García, D., García-Sandoval, S.R., Garrido-Benavent, I., Garzoli, L., Gautam, A.K., Ge, Z.W., Gené, D.J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A.J., T.b., Gibertoni, Góes-Neto, A., Gomdola, D., Gomes de Farias, A.R., Gorjón, S.P., Goto, B.T., Granados-Montero, M.M., Griffith, G.W., Groenewald, J.Z., Groenewald, M., Grossart, H.P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L.F.P., Gutierrez, A.C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y.F., Hapuarachchi, K.K., Harder, C.B., Harrington, T.C., Hattori, T., He, M.Q., He, S., He, S.H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K.T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S.K., Huanraluek, N., Hur, J.S., Hurdeal, V.G., Hustad, V.P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jayalal, R.G.U., Jayasiri, S.C., Jayawardena, R.S., Jeewon, R., Jerônimo, G.H., Jesus, A.L., Jin, J., Johnston, P.R., Jones, E.B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G.P., Kang, J.C., Karimi, O., Karpov, S.A., Karunarathna, S.C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P.M., Kitaura, M.J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K.H., Latha, K.P.D., Lee, H.B., Leonardi, M., Leontyev, D.L., Lestari, A.S., Li, C.J.Y., Li, D.W., Li, H., Li, H.Y., Li, L., Li, Q.R., Li, W.L., Li, Y., Li, Y.C., Liao, C.F., Liimatainen, K., Lim, Y.W., Lin, C.G., Linaldeddu, B.T., Linde, C.C., Linn, M.M., Liu, F., Liu, J.K., Liu, N.G., Liu, S., Liu, S.L., Liu, X.F., Liu, X.Y., Liu, X.Z., Liu, Z.B., Lu, L., Lu, Y.Z., Luangharn, T., Luangsa-ard, J.J., Lumbsch, H.T., Lumyong, S., Luo, L., Luo, M., Luo, Z.L., Ma, J., Machado, A.R., Madagammana, A.D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S.S.N., Maimaiti, Y., Malosso, E., Manamgoda, D.S., Manawasinghe, I.S., Mapook, A., Marasinghe, D.S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, Tom W., McKenzie, E.H.C., Meiras-Ottoni, A., Melo, R.F.R., Mendes, A.R.L., Mendieta, S., Meng, Q.F., Menkis, A., Menolli, N Jr., Mešić, A., Meza Calvo, J.G., Mikhailov, K.V., Miller, S.L., Moncada, B., Moncalvo, J.M., Monteiro, J.S., Monteiro, M., Mora-Montes, H.M., Moreau, P.A., Mueller, G.M., Mukhopadyay, S., Murugadoss, R., Nagy, L.G., Najafiniya, M., Nanayakkara, C.M., Nascimento, C.C., Nei, Y., Neves, M.A., Neuhauser, S., Niego, A.G.T., Nilsson, R.H., Niskanen, T., Niveiro, N., Noorabadi, M.T., Noordeloos, M.E., Norphanphoun, C., Nuñez Otaño, N.B., O’Donnell, R.P., Oehl, F., Olariaga, I., Orlando, F.P., Pang, K.L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, Olinto Liparini, Perera, R.H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A.J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C.L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C.A., Radek, R., Rahnama, K., Raj, K.N.A., Rajeshkumar, K.C., Rämä, Teppo, Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A.R., Raza, M., Ren, G.C., Robledo, G.L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L.R., Salvador-Montoya, C.A., Samant, B., Samarakoon, B.C., Samarakoon, M.C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santiago, A.L.C.M.A., Santamaria, B., Santos, A.C.S., Sarma, V.V., Savchenko, A., Savchenko, K., Saxena, R.K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, Laura, Selcuk, F., Senanayake, I.C., Seto, K., Shabashova, T.G., Shen, H.W., Shen, Y.M., Silva-Filho, A.G.S., Simmons, D.R., Singh, R., Sir, E.B., Song, C.G., Souza-Motta C.M. Sruthi, O.P., Stadler, M., Stchigel, A.M., Stemler, J., Stephenson, S.L., Strassert, J.F.H., Su, H.L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y.F., Sun, Y.R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T.H., Tanaka, Kazuaki, Tang, A.M.C., Tang, X., Tanney, J.B., Tavakol, N.M., Taylor, J.E., Taylor, P.W.J., Tedersoo, L., Tennakoon, D.S., Thamodini, G.K., Thines, Marco, Thiyagaraja, V., Thongklang, N., Tiago, P.V., Tian, Q., Tian, W.H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, Dhanushka, Ulukapi, M., Untereiner, W.A., Uzunov, B.A., Valle, L.G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R.K., Vieira, L.C., Vieira, W.A.S., Vizzini, A., Walker, A., Walker, A.K., Wanasinghe, D.N., Wang, C.G., Wang, K., Wang, S.X., Wang, X.Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D.P., Wei, X.L., White, J.F., Wijayawardene, N.N., Wijesinghe, S.N., Wijesundara, D.S.A., Wisitrassameewong, K., Worthy, F.R., Wu, F., Wu, G., Wu, H.X., Wu, N., Wu, W.P., Wurzbacher, C., Xiao, Y.P., Xiong, Y.R., Xu, L.J., Xu, R., Xu, R.F., Xu, R.J., Xu, T.M., Yakovchenko, L., Yan, J.Y., Yang, H., Yang, J., Yang, Z.L., Yang, Y.H., Yapa, N., Yasanthika, E., Youssef, N.H., Yu, F.M., Yu, Q., Yu, X.D., Yu, Y.X., Yu, Z.F., Yuan, H.S., Yuan, Y., Yurkov, Andrey, Zafari, D., Zamora, Juan Carlos, Zare, Rasoul, Zeng, M., Zeng, N.K., Zeng, X.Y., Zhang, F., Zhang, H., Zhang, J.F., Zhang, J.Y., Zhang, Q.Y., Zhang, S.N., Zhang, W., Zhang, Y., Zhang, Y.X., Zhao, C.L., Zhao, H., Zhao, Q., Zhao, R.L., Zhou, L.W., Zhou, M., Zhurbenko, M.P., Zin, H.H., Zucconi, L., Hyde, K.D., Abdel-Wahab, M.A., Abdollahzadeh, J., Abeywickrama, P.D., Absalan, S., Afshari, N., Ainsworth, A.M., Akulov, O.Y., Aleoshin, V.V., Al-Sadi, A.M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T.B., Anderson, J., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C.C.S., Araújo, J.P.M., Ariyawansa, H.A., Armand, A., Arumugam, E., Asghari, R., Assis, D.M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A.H., Bakhshi, M., Banihashemi, Z., Bao, D.F., Baral, H.O., Barata, M., Barbosa, F., Barbosa, R.N., Barreto, R.W., Baschien, C., Belamesiatseva, D.B., Bennett Reuel, M., Bera, I., Bezerra, J.D.P., Bezerra, J.L., Bhat, D.J., Bhunjun, C.S., Bianchinotti, M.V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M.E.S., Caeiro, M.F., Cai, L., Cai, M.F., Calabon, M.S., Calaça, F.J.S., Callalli, M., Camara, M.P.S., Cano-Lira, J.F., Cantillo, T., Cao, B., Carlavilla, J.R., Carvalho, A., Castañeda-Ruiz, R.F., Castlebury, L., Castro-Jauregui, O., Catania, M.D.V., Cavalcanti, L.H., Cazabonne, J., Cedeño-Sanchez, M.L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C.Y., Chen, K.H., Chen, J., Chen, Q., Chen, W.H., Chen, Y.P., Chethana, K.W.T., Coleine, C., Condé, T.O., Corazon-Guivin, M.A., Cortés-Pérez, A., Costa-Rezende, D.H., Courtecuisse, R., Crouch, J.A., Crous, P.W., Cui, B.K., Cui, Y.Y., da Silva, D.K.A., da Silva, G.A., da Silva, I.R., da Silva, R.M.F., da Silva Santos, A.C., Dai, D.Q., Dai, Y.C., Damm, U., Darmostuk, V., Daroodi, Z., Das, K., Davoodian, N., Davydov, E.A., Dayarathne, M.C., Decock, C., de Groot, M.D., De Kesel, A., dela Cruz, T.E.E., De Lange, R., Delgado, G., Denchev, C.M., Denchev, T.T., de Oliveira, N.T., de Silva, N.I., de Souza, F.A., Dentinger, B., Devadatha, B., Dianese, J.C., Dima, B., Diniz, A.G., Dissanayake, A.J., Dissanayake, L.S., Doğan, H.H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z.Y., Dos Santos, L.A., Drechsler-Santos, E.R., Du, T.Y., Dubey, M.K., Dutta, A.K., Egidi, E., Elliott, T.F., Elshahed, M.S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H.C., Fan, X.L., Fan, Y.G., Fedosova, A.G., Fell, J., Fernandes, I., Firmino, A.L., Fiuza, P.O., Flakus, A., Fragoso de Souza, C.A., Frisvad, J.C., Fryar, S.C., Gabaldón, T., Gajanayake, A.J., Galindo, L.J., Gannibal, P.B., García, D., García-Sandoval, S.R., Garrido-Benavent, I., Garzoli, L., Gautam, A.K., Ge, Z.W., Gené, D.J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A.J., T.b., Gibertoni, Góes-Neto, A., Gomdola, D., Gomes de Farias, A.R., Gorjón, S.P., Goto, B.T., Granados-Montero, M.M., Griffith, G.W., Groenewald, J.Z., Groenewald, M., Grossart, H.P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L.F.P., Gutierrez, A.C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y.F., Hapuarachchi, K.K., Harder, C.B., Harrington, T.C., Hattori, T., He, M.Q., He, S., He, S.H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K.T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S.K., Huanraluek, N., Hur, J.S., Hurdeal, V.G., Hustad, V.P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jayalal, R.G.U., Jayasiri, S.C., Jayawardena, R.S., Jeewon, R., Jerônimo, G.H., Jesus, A.L., Jin, J., Johnston, P.R., Jones, E.B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G.P., Kang, J.C., Karimi, O., Karpov, S.A., Karunarathna, S.C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P.M., Kitaura, M.J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K.H., Latha, K.P.D., Lee, H.B., Leonardi, M., Leontyev, D.L., Lestari, A.S., Li, C.J.Y., Li, D.W., Li, H., Li, H.Y., Li, L., Li, Q.R., Li, W.L., Li, Y., Li, Y.C., Liao, C.F., Liimatainen, K., Lim, Y.W., Lin, C.G., Linaldeddu, B.T., Linde, C.C., Linn, M.M., Liu, F., Liu, J.K., Liu, N.G., Liu, S., Liu, S.L., Liu, X.F., Liu, X.Y., Liu, X.Z., Liu, Z.B., Lu, L., Lu, Y.Z., Luangharn, T., Luangsa-ard, J.J., Lumbsch, H.T., Lumyong, S., Luo, L., Luo, M., Luo, Z.L., Ma, J., Machado, A.R., Madagammana, A.D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S.S.N., Maimaiti, Y., Malosso, E., Manamgoda, D.S., Manawasinghe, I.S., Mapook, A., Marasinghe, D.S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, Tom W., McKenzie, E.H.C., Meiras-Ottoni, A., Melo, R.F.R., Mendes, A.R.L., Mendieta, S., Meng, Q.F., Menkis, A., Menolli, N Jr., Mešić, A., Meza Calvo, J.G., Mikhailov, K.V., Miller, S.L., Moncada, B., Moncalvo, J.M., Monteiro, J.S., Monteiro, M., Mora-Montes, H.M., Moreau, P.A., Mueller, G.M., Mukhopadyay, S., Murugadoss, R., Nagy, L.G., Najafiniya, M., Nanayakkara, C.M., Nascimento, C.C., Nei, Y., Neves, M.A., Neuhauser, S., Niego, A.G.T., Nilsson, R.H., Niskanen, T., Niveiro, N., Noorabadi, M.T., Noordeloos, M.E., Norphanphoun, C., Nuñez Otaño, N.B., O’Donnell, R.P., Oehl, F., Olariaga, I., Orlando, F.P., Pang, K.L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, Olinto Liparini, Perera, R.H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A.J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C.L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C.A., Radek, R., Rahnama, K., Raj, K.N.A., Rajeshkumar, K.C., Rämä, Teppo, Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A.R., Raza, M., Ren, G.C., Robledo, G.L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L.R., Salvador-Montoya, C.A., Samant, B., Samarakoon, B.C., Samarakoon, M.C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santiago, A.L.C.M.A., Santamaria, B., Santos, A.C.S., Sarma, V.V., Savchenko, A., Savchenko, K., Saxena, R.K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, Laura, Selcuk, F., Senanayake, I.C., Seto, K., Shabashova, T.G., Shen, H.W., Shen, Y.M., Silva-Filho, A.G.S., Simmons, D.R., Singh, R., Sir, E.B., Song, C.G., Souza-Motta C.M. Sruthi, O.P., Stadler, M., Stchigel, A.M., Stemler, J., Stephenson, S.L., Strassert, J.F.H., Su, H.L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y.F., Sun, Y.R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T.H., Tanaka, Kazuaki, Tang, A.M.C., Tang, X., Tanney, J.B., Tavakol, N.M., Taylor, J.E., Taylor, P.W.J., Tedersoo, L., Tennakoon, D.S., Thamodini, G.K., Thines, Marco, Thiyagaraja, V., Thongklang, N., Tiago, P.V., Tian, Q., Tian, W.H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, Dhanushka, Ulukapi, M., Untereiner, W.A., Uzunov, B.A., Valle, L.G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R.K., Vieira, L.C., Vieira, W.A.S., Vizzini, A., Walker, A., Walker, A.K., Wanasinghe, D.N., Wang, C.G., Wang, K., Wang, S.X., Wang, X.Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D.P., Wei, X.L., White, J.F., Wijayawardene, N.N., Wijesinghe, S.N., Wijesundara, D.S.A., Wisitrassameewong, K., Worthy, F.R., Wu, F., Wu, G., Wu, H.X., Wu, N., Wu, W.P., Wurzbacher, C., Xiao, Y.P., Xiong, Y.R., Xu, L.J., Xu, R., Xu, R.F., Xu, R.J., Xu, T.M., Yakovchenko, L., Yan, J.Y., Yang, H., Yang, J., Yang, Z.L., Yang, Y.H., Yapa, N., Yasanthika, E., Youssef, N.H., Yu, F.M., Yu, Q., Yu, X.D., Yu, Y.X., Yu, Z.F., Yuan, H.S., Yuan, Y., Yurkov, Andrey, Zafari, D., Zamora, Juan Carlos, Zare, Rasoul, Zeng, M., Zeng, N.K., Zeng, X.Y., Zhang, F., Zhang, H., Zhang, J.F., Zhang, J.Y., Zhang, Q.Y., Zhang, S.N., Zhang, W., Zhang, Y., Zhang, Y.X., Zhao, C.L., Zhao, H., Zhao, Q., Zhao, R.L., Zhou, L.W., Zhou, M., Zhurbenko, M.P., Zin, H.H., and Zucconi, L.

Abstract

The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, ‘to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation’, or ‘are there too many genera in the Boletales?’ and even more importantly, ‘what should be done with the tremendously diverse ‘dark fungal taxa?’ There are undeniable differences in mycologists’ perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based

Published
2023

7. Global consortium for the classification of fungi and fungus-like taxa

Author

Hyde, KD, Abdel-Wahab, MA, Abdollahzadeh, J, Abeywickrama, PD, Absalan, S, Afshari, N, Ainsworth, AM, Akulov, OY, Aleoshin, VV, Al-Sadi, AM, Alvarado, P, Alves, A, Alves-Silva, G, Amalfi, M, Amira, Y, Amuhenage, TB, Anderson, J, Antonín, V, Aouali, S, Aptroot, A, Apurillo, CCS, Araújo, JPM, Ariyawansa, HA, Armand, A, Arumugam, E, Asghari, R, Assis, DMA, Atienza, V, Avasthi, S, Azevedo, E, Bahkali, AH, Bakhshi, M, Banihashemi, Z, Bao, DF, Baral, HO, Barata, M, Barbosa, F, Barbosa, RN, Barreto, RW, Baschien, C, Belamesiatseva, DB, Bennett Reuel, M, Bera, I, Bezerra, JDP, Bezerra, JL, Bhat, DJ, Bhunjun, CS, Bianchinotti, MV, Błaszkowski, J, Blondelle, A, Boekhout, T, Bonito, G, Boonmee, S, Boonyuen, N, Bregant, C, Buchanan, P, Bundhun, D, Burgaud, G, Burgess, T, Buyck, B, Cabarroi-Hernández, M, Cáceres, MES, Caeiro, MF, Cai, L, Cai, MF, Calabon, MS, Calaça, FJS, Callalli, M, Cano-Lira, JF, Cantillo, T, Cao, B, Carlavilla, JR, Carvalho, A, Castañeda-Ruiz, RF, Castlebury, L, Castro-Jauregui, O, Catania, MDV, Cavalcanti, LH, Cazabonne, J, Cedeño-Sanchez, ML, Chaharmiri-Dokhaharani, S, Chaiwan, N, Chakraborty, N, Chaverri, P, Cheewangkoon, R, Chen, C, Chen, CY, Chen, KH, Chen, J, Chen, Q, Chen, WH, Chen, YP, Chethana, KWT, Coleine, C, Condé, TO, Corazon-Guivin, MA, Cortés-Pérez, A, Costa-Rezende, DH, Courtecuisse, R, Crouch, JA, Crous, PW, Cui, BK, Cui, YY, da Silva, DKA, da Silva, GA, da Silva, IR, da Silva, RMF, da Silva Santos, AC, Dai, DQ, Dai, YC, Damm, U, Darmostuk, V, Daroodi, Zoha, Das, K, Davoodian, N, Davydov, EA, Dayarathne, MC, Decock, C, de Groot, MD, De Kesel, A, dela Cruz, TEE, De Lange, R, Delgado, G, Denchev, CM, Denchev, TT, de Oliveira, NT, de Silva, NI, de Souza, FA, Dentinger, B, Devadatha, B, Dianese, JC, Dima, B, Diniz, AG, Dissanayake, AJ, Dissanayake, LS, Doğan, HH, Doilom, M, Dolatabadi, S, Dong, W, Dong, ZY, Dos Santos, LA, Drechsler-Santos, ER, Du, TY, Dubey, MK, Dutta, AK, Egidi, E, Elliott, TF, Elshahed, MS, Erdoğdu, M, Ertz, D, Etayo, J, Evans, HC, Fan, XL, Fan, YG, Fedosova, AG, Fell, J, Fernandes, I, Firmino, AL, Fiuza, PO, Flakus, A, Fragoso de Souza, CA, Frisvad, JC, Fryar, SC, Gabaldón, T, Gajanayake, AJ, Galindo, LJ, Gannibal, PB, García, D, García-Sandoval, SR, Garrido-Benavent, I, Garzoli, L, Gautam, AK, Ge, ZW, Gené, DJ, Gentekaki, E, Ghobad-Nejhad, M, Giachini, AJ, Gibertoni, TB, Góes-Neto, A, Gomdola, D, Gomes de Farias, AR, Gorjón, SP, Goto, BT, Granados-Montero, MM, Griffith, GW, Groenewald, JZ, Groenewald, M, Grossart, HP, Gueidan, C, Gunarathne, A, Gunaseelan, S, Gusmão, LFP, Gutierrez, AC, Guzmán-Dávalos, L, Haelewaters, D, Halling, R, Han, YF, Hapuarachchi, KK, Harder, CB, Harrington, TC, Hattori, T, He, MQ, He, S, He, SH, Healy, R, Herández-Restrepo, M, Heredia, G, Hodge, KT, Holgado-Rojas, M, Hongsanan, S, Horak, E, Hosoya, T, Houbraken, J, Huang, SK, Huanraluek, N, Hur, JS, Hurdeal, VG, Hustad, VP, Iotti, M, Iturriaga, T, Jafar, E, Janik, P, Jayalal, RGU, Jayasiri, SC, Jayawardena, RS, Jeewon, R, Jerônimo, GH, Jesus, AL, Jin, J, Johnston, PR, Jones, EBG, Joshi, Y, Justo, A, Kaishian, P, Kakishima, M, Kaliyaperumal, M, Kang, GP, Kang, JC, Karimi, O, Karpov, SA, Karunarathna, SC, Kaufmann, M, Kemler, M, Kezo, K, Khyaju, S, Kirchmair, M, Kirk, PM, Kitaura, MJ, Klawonn, I, Kolarik, M, Kong, A, Kuhar, F, Kukwa, M, Kumar, S, Kušan, I, Lado, C, Larsson, KH, Latha, KPD, Lee, HB, Leonardi, M, Leontyev, DL, Lestari, AS, Li, CJY, Li, DW, Li, H, Li, HY, Li, L, Li, QR, Li, WL, Li, Y, Li, YC, Liao, CF, Liimatainen, K, Lim, YW, Lin, CG, Linaldeddu, BT, Linde, CC, Linn, MM, Liu, F, Liu, JK, Liu, NG, Liu, S, Liu, SL, Liu, XF, Liu, XY, Liu, XZ, Liu, ZB, Lu, L, Lu, YZ, Luangharn, T, Luangsaard, JJ, Lumbsch, HT, Lumyong, S, Luo, L, Luo, M, Luo, ZL, Ma, J, Machado, AR, Madagammana, AD, Madrid, H, Magurno, F, Magyar, D, Mahadevan, N, Maharachchikumbura, SSN, Maimaiti, Y, Malosso, E, Manamgoda, DS, Manawasinghe, IS, Mapook, A, Marasinghe, DS, Mardones, M, Marin-Felix, Y, Márquez, R, Masigol, H, Matočec, N, May, T, McKenzie, EHC, Meiras-Ottoni, A, Melo, RFR, Mendes, ARL, Mendieta, S, Meng, QF, Menkis, A, Menolli Jr, N, Mešić, A, Meza Calvo, JG, Mikhailov, KV, Miller, SL, Moncada, B, Moncalvo, JM, Monteiro, JS, Monteiro, M, Mora-Montes, HM, Moreau, PA, Mueller, GM, Mukhopadyay, S, Murugadoss, R, Nagy, LG, Najafiniya, M, Nanayakkara, CM, Nascimento, CC, Nei, Y, Neves, MA, Neuhauser, S, Niego, AGT, Nilsson, RH, Niskanen, T, Niveiro, N, Noorabadi, MT, Noordeloos, (Machiel E.), Norphanphoun, C, Nuñez Otaño, NB, O’Donnell, RP, Oehl, F, Olariaga, I, Orlando, FP, Pang, KL, Papp, V, Pawłowska, J, Peintner, U, Pem, D, Pereira, OL, Perera, RH, Perez-Moreno, J, Perez-Ortega, S, Péter, G, Phillips, AJL, Phonemany, M, Phukhamsakda, C, Phutthacharoen, K, Piepenbring, M, Pires-Zottarelli, CLA, Poinar, G, Pošta, A, Prieto, M, Promputtha, I, Quandt, CA, Radek, R, Rahnama, K, Raj, KNA, Rajeshkumar, KC, Rämä, T, Rambold, G, Ramírez-Cruz, V, Rasconi, S, Rathnayaka, AR, Raza, M, Ren, GC, Robledo, GL, Rodriguez-Flakus, P, Ronikier, A, Rossi, W, Ryberg, M, Ryvarden, LR, Salvador‑Montoya, CA, Samant, B, Samarakoon, BC, Samarakoon, MC, Sánchez-Castro, I, Sánchez-García, M, Sandoval-Denis, M, Santiago, ALCMA, Santamaria, B, Santos, ACS, Sarma, VV, Savchenko, A, Savchenko, K, Saxena, RK, Scholler, M, Schoutteten, N, Seifollahi, E, Selbmann, L, Selcuk, F, Senanayake, IC, Shabashova, TG, Shen, HW, Shen, YM, SilvaFilho, AGS, Simmons, DR, Singh, R, Sir, EB, Song, Chang-Ge, Souza-Motta, CM, Sruthi, OP, Stadler, M, Stchigel, AM, Stemler, J, Stephenson, SL, Strassert, JFH, Su, HL, Su, L, Suetrong, S, Sulistyo, B, Sun, YF, Sun, YR, Svantesson, Sten, Sysouphanthong, P, Takamatsu, S, Tan, TH, Tanaka, K, Tang, AMC, Tang, X, Tanney, JB, Tavakol, NM, Taylor, JE, Taylor, PWJ, Tedersoo, L, Tennakoon, DS, Thamodini, GK, Thines, M, Thiyagaraja, V, Thongklang, N, Tiago, PV, Tian, Q, Tian, WH, Tibell, L, Tibell, S, Tibpromma, S, Tkalčec, Z, Tomšovský, M, Toome-Heller, M, Torruella, G, Tsurykau, A, Udayanga, D, Ulukapi, M, Untereiner, WA, Uzunov, BA, Valle, LG, Van Caenegem, W, Van den Wyngaert, S, Van Vooren, N, Velez, P, Verma, RK, Vieira, LC, Vieira, WAS, Vizzini, A, Walker, A, Walker, AK, Wanasinghe, DN, Wang, CG, Wang, K, Wang, SX, Wang, XY, Wang, Y, Wannasawang, N, Wartchow, F, Wei, DP, Wei, XL, White, JF, Wijayawardene, NN, Wijesinghe, SN, Wijesundara, DSA, Wisitrassameewong, K, Worthy, FR, Wu, F, Wu, G, Wu, HX, Wu, N, Wu, WP, Wurzbacher, C, Xiao, YP, Xiong, YR, Xu, LJ, Xu, R, Xu, RF, Xu, RJ, Xu, TM, Yakovchenko, L, Yan, JY, Yang, H, Yang, J, Yang, ZL, Yang, YH, Yapa, N, Yasanthika, E, Youssef, NH, Yu, FM, Yu, Q, Yu, YX, Yu, ZF, Yuan, HS, Yuan, Y, Yurkov, A, Zafari, D, Zamora, JC, Zare, R, Zeng, M, Zeng, NK, Zeng, XY, Zhang, F, Zhang, H, Zhang, JF, Zhang, JY, Zhang, QY, Zhang, SN, Zhang, W, Zhang, Y, Zhang, YX, Zhao, CL, Zhao, H, Zhao, Q, Zhao, RL, Zhou, LW, Zhou, M, Zhurbenko, MP, Zin, HH, Zucconi, L, Hyde, KD, Abdel-Wahab, MA, Abdollahzadeh, J, Abeywickrama, PD, Absalan, S, Afshari, N, Ainsworth, AM, Akulov, OY, Aleoshin, VV, Al-Sadi, AM, Alvarado, P, Alves, A, Alves-Silva, G, Amalfi, M, Amira, Y, Amuhenage, TB, Anderson, J, Antonín, V, Aouali, S, Aptroot, A, Apurillo, CCS, Araújo, JPM, Ariyawansa, HA, Armand, A, Arumugam, E, Asghari, R, Assis, DMA, Atienza, V, Avasthi, S, Azevedo, E, Bahkali, AH, Bakhshi, M, Banihashemi, Z, Bao, DF, Baral, HO, Barata, M, Barbosa, F, Barbosa, RN, Barreto, RW, Baschien, C, Belamesiatseva, DB, Bennett Reuel, M, Bera, I, Bezerra, JDP, Bezerra, JL, Bhat, DJ, Bhunjun, CS, Bianchinotti, MV, Błaszkowski, J, Blondelle, A, Boekhout, T, Bonito, G, Boonmee, S, Boonyuen, N, Bregant, C, Buchanan, P, Bundhun, D, Burgaud, G, Burgess, T, Buyck, B, Cabarroi-Hernández, M, Cáceres, MES, Caeiro, MF, Cai, L, Cai, MF, Calabon, MS, Calaça, FJS, Callalli, M, Cano-Lira, JF, Cantillo, T, Cao, B, Carlavilla, JR, Carvalho, A, Castañeda-Ruiz, RF, Castlebury, L, Castro-Jauregui, O, Catania, MDV, Cavalcanti, LH, Cazabonne, J, Cedeño-Sanchez, ML, Chaharmiri-Dokhaharani, S, Chaiwan, N, Chakraborty, N, Chaverri, P, Cheewangkoon, R, Chen, C, Chen, CY, Chen, KH, Chen, J, Chen, Q, Chen, WH, Chen, YP, Chethana, KWT, Coleine, C, Condé, TO, Corazon-Guivin, MA, Cortés-Pérez, A, Costa-Rezende, DH, Courtecuisse, R, Crouch, JA, Crous, PW, Cui, BK, Cui, YY, da Silva, DKA, da Silva, GA, da Silva, IR, da Silva, RMF, da Silva Santos, AC, Dai, DQ, Dai, YC, Damm, U, Darmostuk, V, Daroodi, Zoha, Das, K, Davoodian, N, Davydov, EA, Dayarathne, MC, Decock, C, de Groot, MD, De Kesel, A, dela Cruz, TEE, De Lange, R, Delgado, G, Denchev, CM, Denchev, TT, de Oliveira, NT, de Silva, NI, de Souza, FA, Dentinger, B, Devadatha, B, Dianese, JC, Dima, B, Diniz, AG, Dissanayake, AJ, Dissanayake, LS, Doğan, HH, Doilom, M, Dolatabadi, S, Dong, W, Dong, ZY, Dos Santos, LA, Drechsler-Santos, ER, Du, TY, Dubey, MK, Dutta, AK, Egidi, E, Elliott, TF, Elshahed, MS, Erdoğdu, M, Ertz, D, Etayo, J, Evans, HC, Fan, XL, Fan, YG, Fedosova, AG, Fell, J, Fernandes, I, Firmino, AL, Fiuza, PO, Flakus, A, Fragoso de Souza, CA, Frisvad, JC, Fryar, SC, Gabaldón, T, Gajanayake, AJ, Galindo, LJ, Gannibal, PB, García, D, García-Sandoval, SR, Garrido-Benavent, I, Garzoli, L, Gautam, AK, Ge, ZW, Gené, DJ, Gentekaki, E, Ghobad-Nejhad, M, Giachini, AJ, Gibertoni, TB, Góes-Neto, A, Gomdola, D, Gomes de Farias, AR, Gorjón, SP, Goto, BT, Granados-Montero, MM, Griffith, GW, Groenewald, JZ, Groenewald, M, Grossart, HP, Gueidan, C, Gunarathne, A, Gunaseelan, S, Gusmão, LFP, Gutierrez, AC, Guzmán-Dávalos, L, Haelewaters, D, Halling, R, Han, YF, Hapuarachchi, KK, Harder, CB, Harrington, TC, Hattori, T, He, MQ, He, S, He, SH, Healy, R, Herández-Restrepo, M, Heredia, G, Hodge, KT, Holgado-Rojas, M, Hongsanan, S, Horak, E, Hosoya, T, Houbraken, J, Huang, SK, Huanraluek, N, Hur, JS, Hurdeal, VG, Hustad, VP, Iotti, M, Iturriaga, T, Jafar, E, Janik, P, Jayalal, RGU, Jayasiri, SC, Jayawardena, RS, Jeewon, R, Jerônimo, GH, Jesus, AL, Jin, J, Johnston, PR, Jones, EBG, Joshi, Y, Justo, A, Kaishian, P, Kakishima, M, Kaliyaperumal, M, Kang, GP, Kang, JC, Karimi, O, Karpov, SA, Karunarathna, SC, Kaufmann, M, Kemler, M, Kezo, K, Khyaju, S, Kirchmair, M, Kirk, PM, Kitaura, MJ, Klawonn, I, Kolarik, M, Kong, A, Kuhar, F, Kukwa, M, Kumar, S, Kušan, I, Lado, C, Larsson, KH, Latha, KPD, Lee, HB, Leonardi, M, Leontyev, DL, Lestari, AS, Li, CJY, Li, DW, Li, H, Li, HY, Li, L, Li, QR, Li, WL, Li, Y, Li, YC, Liao, CF, Liimatainen, K, Lim, YW, Lin, CG, Linaldeddu, BT, Linde, CC, Linn, MM, Liu, F, Liu, JK, Liu, NG, Liu, S, Liu, SL, Liu, XF, Liu, XY, Liu, XZ, Liu, ZB, Lu, L, Lu, YZ, Luangharn, T, Luangsaard, JJ, Lumbsch, HT, Lumyong, S, Luo, L, Luo, M, Luo, ZL, Ma, J, Machado, AR, Madagammana, AD, Madrid, H, Magurno, F, Magyar, D, Mahadevan, N, Maharachchikumbura, SSN, Maimaiti, Y, Malosso, E, Manamgoda, DS, Manawasinghe, IS, Mapook, A, Marasinghe, DS, Mardones, M, Marin-Felix, Y, Márquez, R, Masigol, H, Matočec, N, May, T, McKenzie, EHC, Meiras-Ottoni, A, Melo, RFR, Mendes, ARL, Mendieta, S, Meng, QF, Menkis, A, Menolli Jr, N, Mešić, A, Meza Calvo, JG, Mikhailov, KV, Miller, SL, Moncada, B, Moncalvo, JM, Monteiro, JS, Monteiro, M, Mora-Montes, HM, Moreau, PA, Mueller, GM, Mukhopadyay, S, Murugadoss, R, Nagy, LG, Najafiniya, M, Nanayakkara, CM, Nascimento, CC, Nei, Y, Neves, MA, Neuhauser, S, Niego, AGT, Nilsson, RH, Niskanen, T, Niveiro, N, Noorabadi, MT, Noordeloos, (Machiel E.), Norphanphoun, C, Nuñez Otaño, NB, O’Donnell, RP, Oehl, F, Olariaga, I, Orlando, FP, Pang, KL, Papp, V, Pawłowska, J, Peintner, U, Pem, D, Pereira, OL, Perera, RH, Perez-Moreno, J, Perez-Ortega, S, Péter, G, Phillips, AJL, Phonemany, M, Phukhamsakda, C, Phutthacharoen, K, Piepenbring, M, Pires-Zottarelli, CLA, Poinar, G, Pošta, A, Prieto, M, Promputtha, I, Quandt, CA, Radek, R, Rahnama, K, Raj, KNA, Rajeshkumar, KC, Rämä, T, Rambold, G, Ramírez-Cruz, V, Rasconi, S, Rathnayaka, AR, Raza, M, Ren, GC, Robledo, GL, Rodriguez-Flakus, P, Ronikier, A, Rossi, W, Ryberg, M, Ryvarden, LR, Salvador‑Montoya, CA, Samant, B, Samarakoon, BC, Samarakoon, MC, Sánchez-Castro, I, Sánchez-García, M, Sandoval-Denis, M, Santiago, ALCMA, Santamaria, B, Santos, ACS, Sarma, VV, Savchenko, A, Savchenko, K, Saxena, RK, Scholler, M, Schoutteten, N, Seifollahi, E, Selbmann, L, Selcuk, F, Senanayake, IC, Shabashova, TG, Shen, HW, Shen, YM, SilvaFilho, AGS, Simmons, DR, Singh, R, Sir, EB, Song, Chang-Ge, Souza-Motta, CM, Sruthi, OP, Stadler, M, Stchigel, AM, Stemler, J, Stephenson, SL, Strassert, JFH, Su, HL, Su, L, Suetrong, S, Sulistyo, B, Sun, YF, Sun, YR, Svantesson, Sten, Sysouphanthong, P, Takamatsu, S, Tan, TH, Tanaka, K, Tang, AMC, Tang, X, Tanney, JB, Tavakol, NM, Taylor, JE, Taylor, PWJ, Tedersoo, L, Tennakoon, DS, Thamodini, GK, Thines, M, Thiyagaraja, V, Thongklang, N, Tiago, PV, Tian, Q, Tian, WH, Tibell, L, Tibell, S, Tibpromma, S, Tkalčec, Z, Tomšovský, M, Toome-Heller, M, Torruella, G, Tsurykau, A, Udayanga, D, Ulukapi, M, Untereiner, WA, Uzunov, BA, Valle, LG, Van Caenegem, W, Van den Wyngaert, S, Van Vooren, N, Velez, P, Verma, RK, Vieira, LC, Vieira, WAS, Vizzini, A, Walker, A, Walker, AK, Wanasinghe, DN, Wang, CG, Wang, K, Wang, SX, Wang, XY, Wang, Y, Wannasawang, N, Wartchow, F, Wei, DP, Wei, XL, White, JF, Wijayawardene, NN, Wijesinghe, SN, Wijesundara, DSA, Wisitrassameewong, K, Worthy, FR, Wu, F, Wu, G, Wu, HX, Wu, N, Wu, WP, Wurzbacher, C, Xiao, YP, Xiong, YR, Xu, LJ, Xu, R, Xu, RF, Xu, RJ, Xu, TM, Yakovchenko, L, Yan, JY, Yang, H, Yang, J, Yang, ZL, Yang, YH, Yapa, N, Yasanthika, E, Youssef, NH, Yu, FM, Yu, Q, Yu, YX, Yu, ZF, Yuan, HS, Yuan, Y, Yurkov, A, Zafari, D, Zamora, JC, Zare, R, Zeng, M, Zeng, NK, Zeng, XY, Zhang, F, Zhang, H, Zhang, JF, Zhang, JY, Zhang, QY, Zhang, SN, Zhang, W, Zhang, Y, Zhang, YX, Zhao, CL, Zhao, H, Zhao, Q, Zhao, RL, Zhou, LW, Zhou, M, Zhurbenko, MP, Zin, HH, and Zucconi, L

Abstract

The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and funguslike taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, ‘to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation’, or ‘are there too many genera in the Boletales?’ and even more importantly, ‘what should be done with the tremendously diverse ‘dark fungal taxa?’ There are undeniable differences in mycologists’ perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based o

Published
2023
Full Text
View/download PDF

8. Global consortium for the classification of fungi and fungus-like taxa

Author

Hyde, K. D., Abdel-Wahab, M. A., Abdollahzadeh, J., Abeywickrama, P. D., Absalan, S., Afshari, N., Ainsworth, A. M., Akulov, O. Y., Aleoshin, V. V., Al-Sadi, A. M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T. B., Anderson, J. L., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C. C. S., Araújo, J. P.M., Ariyawansa, H. A., Armand, A., Arumugam, E., Asghari, R., Assis, D. M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A. H., Bakhshi, M., Banihashemi, Z., Bao, D. F., Baral, H. O., Barata, M., Barbosa, F. R., Barbosa, R. N., Barreto, R. W., Baschien, C., Belamesiatseva, D. B., Reuel, M. Bennett, Bera, I., Bezerra, J. D. P., Bezerra, J. L., Bhat, D. J., Bhunjun, C. S., Bianchinotti, M. V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M. E. S., Caeiro, M. F., Cai, L., Cai, M. F., Calabon, M. S., Calaça, F. J. S., Callalli, M., Camara, M. P. S., Cano-Lira, J. F., Cantillo, T., Cao, B., Carlavilla, J. R., Carvalho, A., Castañeda-Ruiz, R. F., Castlebury, L., Castro-Jauregui, O., Catania, M. D., Cavalcanti, L. H., Cazabonne, J., Cedeño-Sanchez, M. L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C. Y., Chen, K. H., Chen, J., Chen, Q., Chen, W. H., Chen, Y. P., Chethana, K. W. T., Coleine, C., Condé, T. O., Corazon-Guivin, M. A., Cortés-Pérez, A., Costa-Rezende, D. H., Courtecuisse, R., Crouch, J. A., Crous, P. W., Cui, B. K., Cui, Y. Y., da Silva, D. K. A., da Silva, G. A., da Silva, I. R., da Silva, R. M. F., da Silva Santos, A. C., Dai, D. Q., Dai, Y. C., Damm, U., Darmostuk, V., Zoha, Daroodi, Das, K., Davoodian, N., Davydov, E. A., Dayarathne, M. C., Decock, C., de Groot, M. D., De Kesel, A., de la Cruz, T. E. E., De Lange, R., Delgado, G., Denchev, C. M., Denchev, T. T., de Oliveira, N. T., de Silva, N. I., de Souza, F. A., Dentinger, B., Devadatha, B., Dianese, J. C., Dima, B., Diniz, A. G., Dissanayake, A. J., Dissanayake, L. S., Doğan, H. H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z. Y., Dos Santos, L. A., Drechsler-Santos, E. R., Du, T. Y., Dubey, M. K., Dutta, A. K., Egidi, E., Elliott, T. F., Elshahed, M. S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H. C., Fan, X. L., Fan, Y. G., Fedosova, A. G., Fell, J., Fernandes, I., Firmino, A. L., Fiuza, P. O., Flakus, A., de Souza, C. A.Fragoso, Frisvad, J. C., Fryar, S. C., Gabaldón, T., Gajanayake, A. J., Galindo, L. J., Gannibal, P. B., García, D., García-Sandoval, S. R., Garrido-Benavent, I., Garzoli, L., Gautam, A. K., Ge, Z. W., Gené, D. J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A. J., Gibertoni, T. B., Góes-Neto, A., Gomdola, D., de Farias, A. R. Gomes, Gorjón, S. P., Goto, B. T., Granados-Montero, M. M., Griffith, G. W., Groenewald, J. Z., Groenewald, M., Grossart, H. P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L. F.P., Gutierrez, A. C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y. F., Hapuarachchi, K. K., Harder, C. B., Harrington, T. C., Hattori, T., He, M. Q., He, S., He, S. H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K. T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S. K., Huanraluek, N., Hur, J. S., Hurdeal, V. G., Hustad, V. P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jany, J. L., Jayalal, R. G.U., Jayasiri, S. C., Jayawardena, R. S., Jeewon, R., Jerônimo, G. H., Jesus, A. L., Jin, J., Johnston, P. R., Jones, E. B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G. P., Kang, J. C., Karakehian, J. M., Karimi, O., Karpov, S. A., Karunarathna, S. C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P. M., Kitaura, M. J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K. H., Latha, K. P.D., Lee, H. B., Leonardi, M., Leontyev, D. L., Lestari, A. S., Li, C. J.Y., Li, D. W., Li, H. Y., Li, L., Li, Q. R., Li, W. L., Li, Y., Li, Y. C., Liao, C. F., Liimatainen, K., Lim, Y. W., Lin, C. G., Linaldeddu, B. T., Linde, C. C., Linn, M. M., Liu, F., Liu, J. K., Liu, N. G., Liu, S., Liu, X. F., Liu, X. Z., Liu, Z. B., Lu, L., Lu, Y. Z., Luangharn, T., Luangsa-ard, J. J., Lumbsch, H. T., Lumyong, S., Luo, L., Luo, M., Luo, Z. L., Ma, J., Machado, A. R., Madagammana, A. D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S. S.N., Maimaiti, Y., Malosso, E., Manamgoda, D. S., Manawasinghe, I. S., Mapook, A., Marasinghe, D. S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, T. W., McKenzie, E. H.C., Meiras-Ottoni, A., Melo, R. F.R., Mendes-Alvarenga, R. L., Mendieta, S., Meng, Q. F., Menkis, A., Menolli, N., Mešić, A., Calvo, J. G.Meza, Mikhailov, K. V., Miller, S. L., Moncada, B., Moncalvo, J. M., Monteiro, J. S., Monteiro, M., Mora-Montes, H. M., Moreau, P. A., Mueller, G. M., Mukhopadyay, S., Murugadoss, R., Nagy, L. G., Najafiniya, M., Nanayakkara, C. M., Nascimento, C. C., Nei, Y., Neves, M. A., Neuhauser, S., Niego, A. G.T., Nilsson, R. H., Niskanen, T., Niveiro, N., Noorabadi, M. T., Noordeloos, M. E., Norphanphoun, C., Otaño, N. B.Nuñez, O’Donnell, R. P., Oehl, F., Olariaga, I., Orlando, O. P., Pang, K. L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, O. L., Perera, R. H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A. J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C. L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C. A., Radek, R., Rahnama, K., Raj, K. N.A., Rajeshkumar, K. C., Rämä, T., Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A. R., Raza, M., Ren, G. C., Robledo, G. L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L. R., Salvador-Montoya, C. A., Samant, B., Samarakoon, B. C., Samarakoon, M. C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santamaria, B., Santiago, A. L.C.M.A., Sarma, V. V., Savchenko, A., Savchenko, K., Saxena, R. K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, L., Selcuk, F., Senanayake, I. C., Shabashova, T. G., Shen, H. W., Shen, Y. M., Silva-Filho, A. G.S., Simmons, D. R., Singh, R., Sir, E. B., Song, C. G., Souza-Motta, C. M., Sruthi, O. P., Stadler, M., Stchigel, A. M., Stemler, J., Stephenson, S. L., Strassert, J. F.H., Su, H. L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y. R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T. H., Tanaka, K., Tang, A. M.C., Tang, X., Tanney, J. B., Tavakol, N. M., Taylor, J. E., Taylor, P. W.J., Tedersoo, L., Tennakoon, D. S., Thamodini, G. K., Thines, M., Thiyagaraja, V., Thongklang, N., Tiago, P. V., Tian, Q., Tian, W. H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, D., Ulukapi, M., Untereiner, W. A., Uzunov, B. A., Valle, L. G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R. K., Vieira, L. C., Vieira, W. A.S., Vizzini, A., Walker, A., Walker, A. K., Wanasinghe, D. N., Wang, C. G., Wang, K., Wang, S. X., Wang, X. Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D. P., Wei, X. L., White, J. F., Wijayawardene, N. N., Wijesinghe, S. N., Wijesundara, D. S.A., Wisitrassameewong, K., Worthy, F. R., Wu, F., Wu, G., Wu, H. X., Wu, N., Wu, W. P., Wurzbacher, C., Xiao, Y. P., Xiong, Y. R., Xu, B., Xu, L. J., Xu, R., Xu, T. M., Yakovchenko, L., Yan, J. Y., Yang, H. D., Yang, J., Yang, Z. L., Yang, Y. H., Yapa, N., Yasanthika, E., Youssef, N. H., Yu, F. M., Yu, Q., Yu, X. D., Yu, Y. X., Yu, Z. F., Yuan, H. S., Yuan, Y., Yurkov, A., Zafari, D., Zamora, J. C., Zare, R., Zeng, M., Zeng, N. K., Zeng, X. Y., Zhang, F., Zhang, H., Zhang, J. F., Zhang, J. Y., Zhang, Q. Y., Zhang, S. N., Zhang, W., Zhang, Y., Zhao, C. L., Zhao, H., Zhao, Q., Zhao, R. L., Zhou, L. W., Zhou, M., Zhurbenko, M. P., Zin, H. H., Zucconi, L., Hyde, K. D., Abdel-Wahab, M. A., Abdollahzadeh, J., Abeywickrama, P. D., Absalan, S., Afshari, N., Ainsworth, A. M., Akulov, O. Y., Aleoshin, V. V., Al-Sadi, A. M., Alvarado, P., Alves, A., Alves-Silva, G., Amalfi, M., Amira, Y., Amuhenage, T. B., Anderson, J. L., Antonín, V., Aouali, S., Aptroot, A., Apurillo, C. C. S., Araújo, J. P.M., Ariyawansa, H. A., Armand, A., Arumugam, E., Asghari, R., Assis, D. M.A., Atienza, V., Avasthi, S., Azevedo, E., Bahkali, A. H., Bakhshi, M., Banihashemi, Z., Bao, D. F., Baral, H. O., Barata, M., Barbosa, F. R., Barbosa, R. N., Barreto, R. W., Baschien, C., Belamesiatseva, D. B., Reuel, M. Bennett, Bera, I., Bezerra, J. D. P., Bezerra, J. L., Bhat, D. J., Bhunjun, C. S., Bianchinotti, M. V., Błaszkowski, J., Blondelle, A., Boekhout, T., Bonito, G., Boonmee, S., Boonyuen, N., Bregant, C., Buchanan, P., Bundhun, D., Burgaud, G., Burgess, T., Buyck, B., Cabarroi-Hernández, M., Cáceres, M. E. S., Caeiro, M. F., Cai, L., Cai, M. F., Calabon, M. S., Calaça, F. J. S., Callalli, M., Camara, M. P. S., Cano-Lira, J. F., Cantillo, T., Cao, B., Carlavilla, J. R., Carvalho, A., Castañeda-Ruiz, R. F., Castlebury, L., Castro-Jauregui, O., Catania, M. D., Cavalcanti, L. H., Cazabonne, J., Cedeño-Sanchez, M. L., Chaharmiri-Dokhaharani, S., Chaiwan, N., Chakraborty, N., Chaverri, P., Cheewangkoon, R., Chen, C., Chen, C. Y., Chen, K. H., Chen, J., Chen, Q., Chen, W. H., Chen, Y. P., Chethana, K. W. T., Coleine, C., Condé, T. O., Corazon-Guivin, M. A., Cortés-Pérez, A., Costa-Rezende, D. H., Courtecuisse, R., Crouch, J. A., Crous, P. W., Cui, B. K., Cui, Y. Y., da Silva, D. K. A., da Silva, G. A., da Silva, I. R., da Silva, R. M. F., da Silva Santos, A. C., Dai, D. Q., Dai, Y. C., Damm, U., Darmostuk, V., Zoha, Daroodi, Das, K., Davoodian, N., Davydov, E. A., Dayarathne, M. C., Decock, C., de Groot, M. D., De Kesel, A., de la Cruz, T. E. E., De Lange, R., Delgado, G., Denchev, C. M., Denchev, T. T., de Oliveira, N. T., de Silva, N. I., de Souza, F. A., Dentinger, B., Devadatha, B., Dianese, J. C., Dima, B., Diniz, A. G., Dissanayake, A. J., Dissanayake, L. S., Doğan, H. H., Doilom, M., Dolatabadi, S., Dong, W., Dong, Z. Y., Dos Santos, L. A., Drechsler-Santos, E. R., Du, T. Y., Dubey, M. K., Dutta, A. K., Egidi, E., Elliott, T. F., Elshahed, M. S., Erdoğdu, M., Ertz, D., Etayo, J., Evans, H. C., Fan, X. L., Fan, Y. G., Fedosova, A. G., Fell, J., Fernandes, I., Firmino, A. L., Fiuza, P. O., Flakus, A., de Souza, C. A.Fragoso, Frisvad, J. C., Fryar, S. C., Gabaldón, T., Gajanayake, A. J., Galindo, L. J., Gannibal, P. B., García, D., García-Sandoval, S. R., Garrido-Benavent, I., Garzoli, L., Gautam, A. K., Ge, Z. W., Gené, D. J., Gentekaki, E., Ghobad-Nejhad, M., Giachini, A. J., Gibertoni, T. B., Góes-Neto, A., Gomdola, D., de Farias, A. R. Gomes, Gorjón, S. P., Goto, B. T., Granados-Montero, M. M., Griffith, G. W., Groenewald, J. Z., Groenewald, M., Grossart, H. P., Gueidan, C., Gunarathne, A., Gunaseelan, S., Gusmão, L. F.P., Gutierrez, A. C., Guzmán-Dávalos, L., Haelewaters, D., Halling, R., Han, Y. F., Hapuarachchi, K. K., Harder, C. B., Harrington, T. C., Hattori, T., He, M. Q., He, S., He, S. H., Healy, R., Herández-Restrepo, M., Heredia, G., Hodge, K. T., Holgado-Rojas, M., Hongsanan, S., Horak, E., Hosoya, T., Houbraken, J., Huang, S. K., Huanraluek, N., Hur, J. S., Hurdeal, V. G., Hustad, V. P., Iotti, M., Iturriaga, T., Jafar, E., Janik, P., Jany, J. L., Jayalal, R. G.U., Jayasiri, S. C., Jayawardena, R. S., Jeewon, R., Jerônimo, G. H., Jesus, A. L., Jin, J., Johnston, P. R., Jones, E. B.G., Joshi, Y., Justo, A., Kaishian, P., Kakishima, M., Kaliyaperumal, M., Kang, G. P., Kang, J. C., Karakehian, J. M., Karimi, O., Karpov, S. A., Karunarathna, S. C., Kaufmann, M., Kemler, M., Kezo, K., Khyaju, S., Kirchmair, M., Kirk, P. M., Kitaura, M. J., Klawonn, I., Kolarik, M., Kong, A., Kuhar, F., Kukwa, M., Kumar, S., Kušan, I., Lado, C., Larsson, K. H., Latha, K. P.D., Lee, H. B., Leonardi, M., Leontyev, D. L., Lestari, A. S., Li, C. J.Y., Li, D. W., Li, H. Y., Li, L., Li, Q. R., Li, W. L., Li, Y., Li, Y. C., Liao, C. F., Liimatainen, K., Lim, Y. W., Lin, C. G., Linaldeddu, B. T., Linde, C. C., Linn, M. M., Liu, F., Liu, J. K., Liu, N. G., Liu, S., Liu, X. F., Liu, X. Z., Liu, Z. B., Lu, L., Lu, Y. Z., Luangharn, T., Luangsa-ard, J. J., Lumbsch, H. T., Lumyong, S., Luo, L., Luo, M., Luo, Z. L., Ma, J., Machado, A. R., Madagammana, A. D., Madrid, H., Magurno, F., Magyar, D., Mahadevan, N., Maharachchikumbura, S. S.N., Maimaiti, Y., Malosso, E., Manamgoda, D. S., Manawasinghe, I. S., Mapook, A., Marasinghe, D. S., Mardones, M., Marin-Felix, Y., Márquez, R., Masigol, H., Matočec, N., May, T. W., McKenzie, E. H.C., Meiras-Ottoni, A., Melo, R. F.R., Mendes-Alvarenga, R. L., Mendieta, S., Meng, Q. F., Menkis, A., Menolli, N., Mešić, A., Calvo, J. G.Meza, Mikhailov, K. V., Miller, S. L., Moncada, B., Moncalvo, J. M., Monteiro, J. S., Monteiro, M., Mora-Montes, H. M., Moreau, P. A., Mueller, G. M., Mukhopadyay, S., Murugadoss, R., Nagy, L. G., Najafiniya, M., Nanayakkara, C. M., Nascimento, C. C., Nei, Y., Neves, M. A., Neuhauser, S., Niego, A. G.T., Nilsson, R. H., Niskanen, T., Niveiro, N., Noorabadi, M. T., Noordeloos, M. E., Norphanphoun, C., Otaño, N. B.Nuñez, O’Donnell, R. P., Oehl, F., Olariaga, I., Orlando, O. P., Pang, K. L., Papp, V., Pawłowska, J., Peintner, U., Pem, D., Pereira, O. L., Perera, R. H., Perez-Moreno, J., Perez-Ortega, S., Péter, G., Phillips, A. J.L., Phonemany, M., Phukhamsakda, C., Phutthacharoen, K., Piepenbring, M., Pires-Zottarelli, C. L.A., Poinar, G., Pošta, A., Prieto, M., Promputtha, I., Quandt, C. A., Radek, R., Rahnama, K., Raj, K. N.A., Rajeshkumar, K. C., Rämä, T., Rambold, G., Ramírez-Cruz, V., Rasconi, S., Rathnayaka, A. R., Raza, M., Ren, G. C., Robledo, G. L., Rodriguez-Flakus, P., Ronikier, A., Rossi, W., Ryberg, M., Ryvarden, L. R., Salvador-Montoya, C. A., Samant, B., Samarakoon, B. C., Samarakoon, M. C., Sánchez-Castro, I., Sánchez-García, M., Sandoval-Denis, M., Santamaria, B., Santiago, A. L.C.M.A., Sarma, V. V., Savchenko, A., Savchenko, K., Saxena, R. K., Scholler, M., Schoutteten, N., Seifollahi, E., Selbmann, L., Selcuk, F., Senanayake, I. C., Shabashova, T. G., Shen, H. W., Shen, Y. M., Silva-Filho, A. G.S., Simmons, D. R., Singh, R., Sir, E. B., Song, C. G., Souza-Motta, C. M., Sruthi, O. P., Stadler, M., Stchigel, A. M., Stemler, J., Stephenson, S. L., Strassert, J. F.H., Su, H. L., Su, L., Suetrong, S., Sulistyo, B., Sun, Y. R., Svantesson, S., Sysouphanthong, P., Takamatsu, S., Tan, T. H., Tanaka, K., Tang, A. M.C., Tang, X., Tanney, J. B., Tavakol, N. M., Taylor, J. E., Taylor, P. W.J., Tedersoo, L., Tennakoon, D. S., Thamodini, G. K., Thines, M., Thiyagaraja, V., Thongklang, N., Tiago, P. V., Tian, Q., Tian, W. H., Tibell, L., Tibell, S., Tibpromma, S., Tkalčec, Z., Tomšovský, M., Toome-Heller, M., Torruella, G., Tsurykau, A., Udayanga, D., Ulukapi, M., Untereiner, W. A., Uzunov, B. A., Valle, L. G., Van Caenegem, W., Van den Wyngaert, S., Van Vooren, N., Velez, P., Verma, R. K., Vieira, L. C., Vieira, W. A.S., Vizzini, A., Walker, A., Walker, A. K., Wanasinghe, D. N., Wang, C. G., Wang, K., Wang, S. X., Wang, X. Y., Wang, Y., Wannasawang, N., Wartchow, F., Wei, D. P., Wei, X. L., White, J. F., Wijayawardene, N. N., Wijesinghe, S. N., Wijesundara, D. S.A., Wisitrassameewong, K., Worthy, F. R., Wu, F., Wu, G., Wu, H. X., Wu, N., Wu, W. P., Wurzbacher, C., Xiao, Y. P., Xiong, Y. R., Xu, B., Xu, L. J., Xu, R., Xu, T. M., Yakovchenko, L., Yan, J. Y., Yang, H. D., Yang, J., Yang, Z. L., Yang, Y. H., Yapa, N., Yasanthika, E., Youssef, N. H., Yu, F. M., Yu, Q., Yu, X. D., Yu, Y. X., Yu, Z. F., Yuan, H. S., Yuan, Y., Yurkov, A., Zafari, D., Zamora, J. C., Zare, R., Zeng, M., Zeng, N. K., Zeng, X. Y., Zhang, F., Zhang, H., Zhang, J. F., Zhang, J. Y., Zhang, Q. Y., Zhang, S. N., Zhang, W., Zhang, Y., Zhao, C. L., Zhao, H., Zhao, Q., Zhao, R. L., Zhou, L. W., Zhou, M., Zhurbenko, M. P., Zin, H. H., and Zucconi, L.

Abstract

The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, 'to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation', or 'are there too many genera in the Boletales?' and even more importantly, 'what should be done with the tremendously diverse 'dark fungal taxa?' There are undeniable differences in mycologists' perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee

Published
2023

11. Formation control method based on artificial potential fields for aircraft flight simulation

Author

Andre N Costa, Felipe LL Medeiros, Joao PA Dantas, Diego Geraldo, and Nei Y Soma

Subjects
Modeling and Simulation, Computer Graphics and Computer-Aided Design, Software
Abstract

As simulation becomes more present in the military context for variate purposes, the need for accurate behaviors is of paramount importance. In the air domain, a noteworthy behavior relates to how a group of aircraft moves in a coordinated way. This can be defined as formation flying, which, combined with a move-to-goal behavior, is the focus of this work. The objective of the formation control problem considered is to ensure that simulated aircraft fly autonomously, seeking a formation, while moving toward a goal waypoint. For that, we propose the use of artificial potential fields, which reduce the complexities that implementing a complete cognition model could pose. These fields define forces that control the movement of the entities into formation and to the prescribed waypoint. Our formation control approach is parameterizable, allowing modifications that translate how the aircraft prioritize its sub-behaviors. Instead of defining this prioritization on an empirical basis, we elaborate metrics to evaluate the chosen parameters. From these metrics, we use an optimization methodology to find the best parameter values for a set of scenarios. Thus, our main contribution is bringing together artificial potential fields and simulation optimization to achieve more robust results for simulated military aircraft to fly in formation. We use a large set of scenarios for the optimization process, which evaluates its objective function through the simulations. The results show that the use of the proposed approach may generate gains of up to 27% if compared to arbitrarily selected parameters, with respect to one of the metrics adopted. In addition, we were able to observe that, for the scenarios considered, the presence of a formation leader was an obstacle to achieving the best results, demonstrating that our approach may lead to conclusions with direct operational impacts.

Published
2021

12. Developing and Assessing a Human-Understandable Metric for Evaluating Local Interpretable Model-Agnostic Explanations.

Author

Silva, Rafael M. J. O., Sbrana, Attilio, de Castro, Paulo A. L., and Soma, Nei Y.

Subjects
CONVOLUTIONAL neural networks, DEEP learning, SENTIMENT analysis
Abstract

Deep learning models, despite their potential, often function as "black boxes", posing significant challenges to interpretability, particularly in sensitive fields such as healthcare and finance. Addressing this issue, we introduce a novel, human-understandable metric aimed at enhancing the interpretability of local interpretable model-agnostic explanations (LIME). Distinct from previous methodologies, this metric is designed to assess the shift in classification probability upon the removal of features (words), thereby providing a unique insight into interpretability. We deploy a convolutional neural network (CNN) for sentiment analysis, interpret predictions utilizing LIME, and evaluate these explanations using three distinct metrics: our proposed metric, a conventional model-based metric, and human evaluations. Through rigorous validation, our metric demonstrated high recall performance, a key indicator of relevant instance retrieval. Results showed worst-case and best-case recalls of 80.29% and 98.19% respectively, against a logistic regression metric for "good" and "excellent" classifications. Comparisons with human evaluations using single-word explanations revealed worst-case and best-case recalls of 82.03% and 94.37%, respectively. These high recall values highlight our metric's effectiveness in aligning with both human judgments and model-based metrics, emphasizing its capacity to capture essential explainability aspects. Furthermore, our study also outlines certain LIME limitations, setting the stage for future interpretability-focused AI research. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

19. Formation control method based on artificial potential fields for aircraft flight simulation.

Author

Costa, Andre N, Medeiros, Felipe LL, Dantas, Joao PA, Geraldo, Diego, and Soma, Nei Y

Subjects
FORMATION flying, MILITARY airplanes
Abstract

As simulation becomes more present in the military context for variate purposes, the need for accurate behaviors is of paramount importance. In the air domain, a noteworthy behavior relates to how a group of aircraft moves in a coordinated way. This can be defined as formation flying, which, combined with a move-to-goal behavior, is the focus of this work. The objective of the formation control problem considered is to ensure that simulated aircraft fly autonomously, seeking a formation, while moving toward a goal waypoint. For that, we propose the use of artificial potential fields, which reduce the complexities that implementing a complete cognition model could pose. These fields define forces that control the movement of the entities into formation and to the prescribed waypoint. Our formation control approach is parameterizable, allowing modifications that translate how the aircraft prioritize its sub-behaviors. Instead of defining this prioritization on an empirical basis, we elaborate metrics to evaluate the chosen parameters. From these metrics, we use an optimization methodology to find the best parameter values for a set of scenarios. Thus, our main contribution is bringing together artificial potential fields and simulation optimization to achieve more robust results for simulated military aircraft to fly in formation. We use a large set of scenarios for the optimization process, which evaluates its objective function through the simulations. The results show that the use of the proposed approach may generate gains of up to 27% if compared to arbitrarily selected parameters, with respect to one of the metrics adopted. In addition, we were able to observe that, for the scenarios considered, the presence of a formation leader was an obstacle to achieving the best results, demonstrating that our approach may lead to conclusions with direct operational impacts. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

29. STRUCTURE DETERMINATION OF ORNITHINE-LINKED CISPLATIN BY INFRARED MULTIPLE PHOTON DISSOCIATION ACTION SPECTROSCOPY

Author

He, Chenchen, primary, Rodgers, M, additional, Chow, C, additional, Armentrout, Peter, additional, McNary, Christopher, additional, Steinmetz, Vincent, additional, Maitre, Philippe, additional, Oomens, Jos, additional, Berden, Giel, additional, Martens, Jonathan, additional, Gao, Juehan, additional, Bao, Xun, additional, Nei, Y-W, additional, Roy, Harrison, additional, Hamlow, Lucas, additional, and Kimutai, Bett, additional

Published
2016
Full Text
View/download PDF

36. LattesMiner

Author

Alves, Alexandre D., primary, Yanasse, Horacio H., additional, and Soma, Nei Y., additional

Published
2011
Full Text
View/download PDF

37. Infrared Multiple PhotonDissociation Action Spectroscopyof Deprotonated DNA Mononucleotides: Gas-Phase Conformations and Energetics.

Author

Nei, Y.-w., Hallowita, N., Steill, J. D., Oomens, J., and Rodgers, M. T.

Subjects
*INFRARED spectroscopy, *PROTON transfer reactions, *DNA, *NUCLEOTIDES, *GAS phase reactions, *CONFORMATIONAL analysis, *BIOENERGETICS, *ACTION spectrum
Abstract

The gas phase structures of the deprotonated 2′-deoxymononucleotidesincluding 2′-deoxyadenosine-5′-monophosphate (dA5′p),2′-deoxycytidine-5′-monophosphate (dC5′p), 2′-deoxyguanosine-5′-monophosphate(dG5′p), and thymidine-5′-monophosphate (T5′p)are examined via infrared multiple photon dissociation (IRMPD) actionspectroscopy and theoretical electronic structure calculations. Themeasured IRMPD action spectra of all four deprotonated DNA mononucleotidesexhibit unique spectral features in the region extending from ∼600to 1800 cm–1such that they can be readily differentiatedfrom one another. The measured IRMPD action spectra are compared tothe linear IR spectra calculated at the B3LYP/6-311+G(d,p) level oftheory to determine the conformations of these species accessed inthe experiments. On the basis of these comparisons and the computedenergetic information, the most stable conformations of the deprotonatedforms of dA5′p, dC5′p, and T5′p are conformerswhere the ribose moiety adopts a C3′ endoconformationand the nucleobase is in an anticonformation. Bycontrast, the most stable conformations of the deprotonated form ofdG5′p are conformers where the ribose adapts a C3′ endoconformation and the nucleobase is in a synconformation. In addition to the ground-state conformers, severalstable low-energy excited conformers that differ slightly in the orientationof the phosphate ester moiety were also accessed in the experiments. [ABSTRACT FROM AUTHOR]

Published
2013
Full Text
View/download PDF

38. Recurrent Optic Perineuritis With Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease Complicated With Granulomatous Polyangiitis.

Author

Nagahata K, Suzuki S, Yokochi R, Nei Y, and Hagino N

Abstract

Optic perineuritis (OPN) is an intraorbital inflammatory disease that targets the optic nerve sheath, which can cause severe vision loss. OPN has been recently reported to be sometimes caused by myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD). MOGAD is rarely reported to be complicated with other autoimmune diseases. We report the first rare case of MOG-associated OPN complicated with granulomatous with polyangiitis (GPA). The vision loss, in this case, was initially considered to be caused by cavernous sinusitis in GPA. However, she was diagnosed with MOGAD with serial MRI findings and positive MOG antibody and had been successfully treated with glucocorticoid and tocilizumab for one and half years. This case emphasized the importance of evaluating the MOG antibody in a patient with recurrent OPN, complicated with vasculitis., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Nagahata et al.)

Published
2022
Full Text
View/download PDF

39. Automated computed tomography quantification of fibrosis predicts prognosis in combined pulmonary fibrosis and emphysema in a real-world setting: a single-centre, retrospective study.

Author

Nemoto M, Nei Y, Bartholmai B, Yoshida K, Matsui H, Nakashita T, Motojima S, Aoshima M, and Ryu JH

Subjects
Aged, Cohort Studies, Female, Forced Expiratory Volume physiology, Humans, Idiopathic Pulmonary Fibrosis physiopathology, Male, Middle Aged, Prognosis, Pulmonary Emphysema physiopathology, Retrospective Studies, Tomography, X-Ray Computed trends, Idiopathic Pulmonary Fibrosis diagnostic imaging, Idiopathic Pulmonary Fibrosis epidemiology, Pulmonary Emphysema diagnostic imaging, Pulmonary Emphysema epidemiology, Tomography, X-Ray Computed methods
Abstract

Background: Combined pulmonary fibrosis and emphysema (CPFE) is a heterogeneous clinico-radiological syndrome without a consensus definition. There are limited data on the relation between the amount of parenchymal fibrosis and prognosis. In this study, we assessed the prognostic implications of the extent of fibrosis assessed by an automated quantitative computed tomography (CT) technique and the radiological and functional change over time in patients with a broad spectrum of fibrotic interstitial lung diseases (ILDs) encountered in a real-world setting., Methods: We conducted a single-centre, retrospective study of 228 consecutive patients with CPFE, encountered from 2007 to 2015 at Kameda Medical Center, Chiba, Japan. We investigated the prognostic value of automated CT fibrosis quantification and the subsequent course of CPFE., Results: Among 228 patients with CPFE, 89 had fibrosis affecting < 5% of their lungs, 54 had 5 to < 10% fibrosis, and 85 had ≥ 10% fibrosis at the time of diagnosis. Lower volume of fibrosis correlated with lower rates of mortality and acute exacerbation (p < 0.001). In particular, among those with < 5% fibrosis, only 4.5% died and none experienced acute exacerbation during follow-up, whereas 57.6% and 29.4% of those with ≥ 10% fibrosis experienced death and acute exacerbation, respectively. Although, the ≥ 10% fibrosis group had the poorest overall survival as well as the highest incidence of acute exacerbation, the incidence of decline in pulmonary function tests, change per year in total lung volume, and progression of fibrosis on chest CT was highest in the 5 to < 10% fibrosis group. The Cox proportional hazard model for CPFE progression (defined by composite criteria of death, acute exacerbation, and decline in forced vital capacity or diffusing capacity) showed fibrosis proportion was a risk factor independent of age, sex, smoking pack-years, the Charlson Comorbidity Index, lung cancer, connective tissue disease, and idiopathic pulmonary fibrosis., Conclusions: Less severe (< 5%) fibrosis at baseline was associated with disease stability and better prognosis compared to more severe fibrosis in CPFE occurring with fibrotic ILDs. Further studies including a validation cohort will be needed. Trial Registration Retrospectively registered.

Published
2020
Full Text
View/download PDF

40. Predictors of acute exacerbation in biopsy-proven idiopathic pulmonary fibrosis.

Author

Kishaba T, Hozumi H, Fujisawa T, Nei Y, Enomoto N, Sugiura H, Kitani M, and Suda T

Subjects
Acute Disease, Aged, Female, Humans, Idiopathic Pulmonary Fibrosis epidemiology, Idiopathic Pulmonary Fibrosis physiopathology, Incidence, Male, Predictive Value of Tests, Vital Capacity, Biopsy methods, Disease Progression, Idiopathic Pulmonary Fibrosis pathology
Abstract

Background: Acute exacerbation (AE) is a major cause of death in patients with idiopathic pulmonary fibrosis (IPF). Current evidence on AE-IPF has been largely based on clinical, rather than pathological, analyses., Methods: We investigated AE incidence and its predictors using clinical, radiological, and pathological data of patients diagnosed with IPF by multi-disciplinary discussion. This study, a secondary analysis of previous research, included 155 patients with IPF who underwent surgical lung biopsy (SLB). Cumulative AE incidence was evaluated by the Kaplan-Meier method. Predictors of AE-IPF were analyzed with a Fine-Gray sub-distribution hazard model. Sub-analysis was performed using propensity score-matching analysis., Results: In this cohort, the median age of the patients was 66 years and the median percent-predicted forced vital capacity was 82.8%. The cumulative AE incidence rates at 30 days and one year post SLB were 1.9% and 7.6%, respectively. On multivariable analysis, a lower percent-predicted diffusing capacity of the lung for carbon monoxide (%DL CO ) (hazard ratio 0.98 per 1% increase, P = 0.02) and fibroblastic foci (FF)-present (vs. absent; hazard ratio 3.01, P = 0.04) were independently associated with a higher incidence of AE. The propensity score-matching analysis with adjustment for age, gender, and %DL CO revealed that the cumulative AE incidence rate was significantly higher in the FF-present subgroup than in the FF-absent subgroup (1-year incidence rate, 10.5% vs. 0%, respectively; P = 0.04 by Gray's test)., Conclusions: FF and %DL CO were independent predictors of AE in patients with biopsy-proven IPF. FF may be associated with the pathogenesis of AE-IPF., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest., (Copyright © 2020 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.)

Published
2020
Full Text
View/download PDF

41. Structures, fabrication mechanisms, and emulsifying properties of self-assembled and spray-dried ternary complexes based on lactoferrin, oat β-glucan and curcumin: A comparison study.

Author

Yang W, Liang X, Xu L, Deng C, Jin W, Wang X, Kong Y, Duan M, Nei Y, Zeng J, and Li B

Subjects
Hydrogen Bonding, Hydrophobic and Hydrophilic Interactions, Particle Size, Polyphenols, Polysaccharides, Curcumin chemistry, Emulsifying Agents chemistry, Emulsions chemistry, Lactoferrin chemistry, Spray Drying, beta-Glucans chemistry
Abstract

Protein-polyphenol-polysaccharide non-covalent ternary complexes possess many unique structural and functional properties. However, rare work is available to fabricate the neutral polysaccharide-based ternary complexes. Herein, the ternary complexes composed of lactoferrin (LF), oat β-glucan (OG), and curcumin (Cur) with three binding sequences were successfully developed through self-assembly technique and spray drying technique, respectively. Spray drying could enhance the extent of the intermolecular associations among LF, OG, and Cur, leading to the formation of ternary complexes with smaller particle sizes and lower turbidities. Cur can be loaded in LF-OG complexes to form an amorphous complex through the intermolecular interactions (mainly hydrophobic interactions and hydrogen bonding). The ternary complexes can be used as potential emulsifiers to stabilize oil-in-water Pickering emulsions. The emulsifying capacity (to enhance physical stability) of the complexes was in the order as follows: the spray-dried ternary complexes > the spray-dried LF-OG complexes > the self-assembled ternary complexes > the self-assembled LF-OG complexes. The structural and functional properties (e.g., emulsifying property) of OG-based ternary complexes can be controlled by adjusting the binding sequences. These results will broaden our current understanding of protein-polyphenol-polysaccharide ternary complexes and provide more applications of OG in food, cosmetics, and pharmaceutical industries., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Published
2020
Full Text
View/download PDF

42. A High Serum Cortisol/DHEA-S Ratio Is a Risk Factor for Sarcopenia in Elderly Diabetic Patients.

Author

Yanagita I, Fujihara Y, Kitajima Y, Tajima M, Honda M, Kawajiri T, Eda T, Yonemura K, Yamaguchi N, Asakawa H, Nei Y, Kayashima Y, Yoshimoto M, Harada M, Araki Y, Yoshimoto S, Aida E, Yanase T, Nawata H, and Muta K

Abstract

Context: Elderly patients with type 2 diabetes mellitus (T2DM) have a high prevalence of frailty and/or sarcopenia. Sarcopenia is thought to be related to discordant secretions of the adrenal hormones cortisol and dehydroepiandrosterone (DHEA), as well as the sulfate ester of DHEA (DHEA-S). The current study sought to evaluate the risk factors for sarcopenia in elderly patients with T2DM., Design and Patients: We enrolled 108 consecutive elderly patients aged ≥65 years with T2DM (mean age, 76.2 ± 7.3 years; 43.5% males). Sarcopenia was assessed and diagnosed based on the Asian version of the diagnostic criteria regarding muscular strength, physical function, and muscle mass. We assessed various physical parameters, blood tests, and atherosclerosis markers and statistically determined the risk factors for sarcopenia., Results: Multiple regression analysis showed that the independent risk factors for sarcopenia were a serum cortisol/DHEA-S ratio ≥0.2, diastolic blood pressure <70 mm Hg, Hb concentration <13 g/dL, and an ankle brachial index <1.0. The strongest risk factor for sarcopenia was a serum cortisol/DHEA-S ratio ≥0.2. An increase in the serum cortisol/DHEA-S ratio reflected higher cortisol values and lower DHEA-S values in patients with sarcopenia compared with those in nonsarcopenic patients. The concentrations of cortisol and DHEA-S, as well as the cortisol/DHEA-S ratio, changed in accordance with the severity of sarcopenia., Conclusions: A relative increase in cortisol may reflect the presence of stress and stimulate muscle catabolism, whereas a relative decrease in DHEA-S may cause a decrease in the anabolic action of DHEA on muscle; the combination of these factors may lead to sarcopenia.

Published
2019
Full Text
View/download PDF

43. Low glycated hemoglobin level is associated with severity of frailty in Japanese elderly diabetes patients.

Author

Yanagita I, Fujihara Y, Eda T, Tajima M, Yonemura K, Kawajiri T, Yamaguchi N, Asakawa H, Nei Y, Kayashima Y, Yoshimoto M, Kitajima Y, Harada M, Araki Y, Yoshimoto S, Aida E, Yanase T, Nawata H, and Muta K

Subjects
Aged, Aged, 80 and over, Asian People, Female, Frailty blood, Humans, Japan, Male, Risk Factors, Severity of Illness Index, Diabetes Mellitus, Type 2 complications, Frailty complications, Frailty diagnosis, Glycated Hemoglobin analysis
Abstract

Aims/introduction: Previously, a study using a narrowly defined (physical base) frailty scale reported that both good and bad (U-shaped curve) glycated hemoglobin (HbA1c) levels were frailty risk factors in patients with type 2 diabetes mellitus. However, no such studies in Japan have shown this. We aimed to evaluate the frailty risk factors including HbA1c in elderly Japanese patients with type 2 diabetes mellitus using a broadly defined (both physical and psychosocial base) frailty scale, the Clinical Frailty Scale (CFS)., Materials and Methods: We randomly enrolled 132 elderly patients with type 2 diabetes mellitus (aged ≥65 years) and categorized the patients into nine stages of frailty using CFS. Because no patient had CFS 9, patients with a CFS score of 1-4 and 5-8 were defined as non-frail and frail, respectively. We attempted to identify the risk factors of frailty by investigating the association between CFS stage and various patient factors., Results: Multiple regression analysis showed that an increase in age, low levels of albumin, high-density lipoprotein cholesterol, systolic blood pressure, HbA1c, total cholesterol, and bodyweight were statistically significant and strong independent risk factors for frailty, suggesting that reverse metabolism owing to malnutrition in elderly type 2 diabetes mellitus patients might be involved., Conclusions: HbA1c level was not a U-shaped risk for frailty, suggesting that relatively good glycemic control might be more important for frailty than poor control in elderly type 2 diabetes mellitus patients., (© 2017 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.)

Published
2018
Full Text
View/download PDF

44. Clinical Characteristics Based on the New Criteria of Acute Exacerbation in Patients with Idiopathic Pulmonary Fibrosis.

Author

Kishaba T, Nei Y, Momose M, Nagano H, and Yamashiro S

Abstract

Objective: Idiopathic pulmonary fibrosis (IPF) is the most common parenchymal lung disease. Patients with IPF sometimes develop acute exacerbation (AE), which predicts a poor prognosis. To evaluate the predictors of 90-day mortality of AE in patients with IPF based on the new 2016 criteria., Materials and Methods: Sixty-five patients with AE were studied retrospectively between January 2001 and December 2016 at Okinawa Chubu Hospital., Results: The mean age of the patients was 74 years, with 40 (61.5%) men and 25 (38.5%) women. Among our cohort, 37 were current or ex-smokers, with a mean exposure of 32.4 pack-years. The mean grade of the modified Medical Research Council breathlessness scale was 2.8, and the mean duration of dyspnea prior to admission was 6.5 days. Clubbed fingernails were present in 29% of patients. Triggered AE occurred in 12 (18%) of patients. Patients with triggered AE had more extensive ground-glass opacity and higher consolidation scores than the idiopathic AE group (7.3 vs. 4.2, p=0.01). The triggered group had shorter survival than the idiopathic group (1.4 vs. 11.4 months, p=0.094). Serum lactate dehydrogenase (LDH), ΔLDH, and the ratio of partial pressure of oxygen to the fraction of inspiratory oxygen ratio were strong predictors of 90-day mortality. Hazard ratios were 1.003 (p=0.004), 1.004 (p=0.02), and 0.994 (p=0.010), respectively., Conclusion: Compared with idiopathic AE, triggered AE in patients with IPF had more extensive infiltration and tended toward shorter survival. Serial trends of serum LDH >2 weeks can help predict prognosis of AE in patients with IPF., Competing Interests: Conflict of Interest: No conflict of interest was declared by the authors

Published
2018
Full Text
View/download PDF

45. Clinical characteristics of dermatomyosits/polymyositis associated interstitial lung disease according to the autoantibody.

Author

Kishaba T, McGill R, Nei Y, Ibuki S, Momose M, Nishiyama K, Nagano H, and Yamashiro S

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Amino Acyl-tRNA Synthetases immunology, Antibody Specificity, Female, Humans, Interferon-Induced Helicase, IFIH1 immunology, Lung Diseases, Interstitial diagnostic imaging, Male, Middle Aged, Prognosis, Retrospective Studies, Young Adult, Autoantibodies blood, Dermatomyositis complications, Dermatomyositis immunology, Lung Diseases, Interstitial complications, Lung Diseases, Interstitial immunology, Polymyositis complications, Polymyositis immunology
Abstract

Background: Dermatomyositis (DM) and polymyositis (PM) often have association with interstitial lung disease (ILD) which have disease specific autoantibody., Methodology: We reviewed medical records of DM/PM associated ILD from January 2000 to December 2017 according to the autoantibody., Result: We identified 52 patients, of whom 30 were antibody negative, 18 had anti aminoacyl-tRNA synthetases (ARS) antibodies and 4 had anti melanoma differentiation-associated gene (MDA)-5 antibody. In high resolution computed tomography (HRCT) of the chest, area of ground glass opacity (GGO), consolidation, and lung tip consolidation were more extensive in anti MDA-5 antibody positive patients (p=0.051, p=0.026, and p=0.027, respectively). Among laboratory findings, GOT had strong correlations with CPK (r=0.889, p < 0.001), and LDH (r=0.910, p < 0.001). Among roentgenographic findings, there were moderate correlations between GGO and consolidation (r=0.668, p < 0.001), and between reticular shadow and traction bronchiectasis (p=0.633, p < 0.001). ILD patients with anti MDA-5 antibodies had decreased survival (1.00 vs 84.3, 22.9 months, p < 0.001)., Conclusion: ILD patients with anti ARS antibody had intense inflammation, but reversible fibrosis and good prognosis. On the other hand, anti MDA-5 antibody positive ILD patients had shorter survival. Extent of parenchymal shadow and serum GOT were useful indicator of disease activity of PM/DM associated ILD patients in our cohort. J. Med. Invest. 65:251-257, August, 2018.

Published
2018
Full Text
View/download PDF

46. Causative species of nontuberculous mycobacterial lung disease and comparative investigation on clinical features of Mycobacterium abscessus complex disease: A retrospective analysis for two major hospitals in a subtropical region of Japan.

Author

Nagano H, Kinjo T, Nei Y, Yamashiro S, Fujita J, and Kishaba T

Subjects
Humans, Japan, Mycobacterium Infections, Nontuberculous diagnostic imaging, Radiography, Thoracic, Retrospective Studies, Tomography, X-Ray Computed, Hospitals, Mycobacterium Infections, Nontuberculous microbiology, Tropical Climate
Abstract

Nontuberculous mycobacteria (NTM) lung disease is increasing globally. Although the etiological epidemiology of NTM is different across regions, Mycobacterium avium complex (MAC) is the leading cause of NTM lung disease in most countries, including mainland Japan. Okinawa is located in the southernmost region of Japan and is the only prefecture categorized as a subtropical region in Japan, it is therefore likely the etiological epidemiology of NTM lung disease is different from mainland Japan. From 2009 to 2015, the medical records of patients, with respiratory specimens positive for NTMs, visiting or admitted to two Okinawan hospitals, were retrospectively analyzed. NTM lung disease cases were defined according to the American Thoracic Society criteria and patient epidemiology and clinical information were evaluated. Results indicate four hundred sixteen patients had bacterial cultures positive for NTM. The most common NTM was M. abscessus complex (MABC) (n = 127; 30.5%), followed by M. intracellulare (n = 85; 20.4%). NTM lung disease was diagnosed in 114 patients. Of these cases, MABC was most common (n = 41; 36.0%), followed by M. intracellulare (n = 31; 27.2%). Chronic obstructive pulmonary disease (COPD) and tracheostomy patients were more likely to develop MABC than MAC lung disease. Multivariate analysis showed a probable association between COPD and MABC lung disease. Chest computed tomography (CT) evaluation revealed bronchiectasis, nodules, and consolidation were less frequently observed in MABC patients compared with MAC patients. Our data suggests Okinawa may be one of the few places where MABC is the predominant pathogen causing NTM lung disease and our results add new insight to MABC lung disease, which is not yet well understood.

Published
2017
Full Text
View/download PDF

47. Indications of airway stenting for severe central airway obstruction due to advanced cancer.

Author

Nagano H, Kishaba T, Nei Y, Yamashiro S, and Takara H

Subjects
Aged, Airway Extubation, Airway Obstruction mortality, Female, Humans, Male, Middle Aged, Palliative Care, Prognosis, Proportional Hazards Models, Retrospective Studies, Trachea, Tracheal Stenosis etiology, Tracheal Stenosis mortality, Tracheal Stenosis therapy, Airway Obstruction etiology, Airway Obstruction therapy, Neoplasms complications, Stents
Abstract

Background: Management of severe central airway obstruction due to advanced cancer is a medical and technical challenge. The impact of airway stenting on the clinical outcome of such patients is unclear., Method: This single-center, retrospective study evaluated 21 patients who underwent airway stenting for advanced cancer. We examined predictors of the post-stenting mortality, including age, serum albumin, tracheal diameter, smoking, opioid use, respiratory failure, and performance status (PS). We also compared survival according to the PS., Results: The mean survival period after stenting was 85.2 days. On univariate analysis, age, albumin, PS before airway stenting, respiratory failure, admission route, and PS grade were the candidates as possible predictors of prognosis after the procedure. On multivariate analysis, PS before airway stenting was identified as possible predictor of prognosis after stenting (HR 1.6180, 95% CI 0.969 to 2.7015, p = 0.066). The mean survival period after stenting was significantly longer in the good PS group, compared to the poor PS group (147.8 days vs. 38.2 days,p = 0.0346)., Conclusion: Airway stenting for advanced cancer may be more effective for patients in good general condition than in those with poor performance status.

Published
2017
Full Text
View/download PDF

48. Body mass index-percent forced vital capacity-respiratory hospitalization: new staging for idiopathic pulmonary fibrosis patients.

Author

Kishaba T, Nagano H, Nei Y, and Yamashiro S

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is relentless progressive interstitial lung disease. Evaluating predictor of mortality for IPF patients is crucial. The aim of this study was to evaluate the serial trend of important indicators of prognosis and create a useful staging method for IPF patients., Methods: We retrospectively searched medical records, pulmonary function tests (PFTs), and chest high resolution computed tomography (HRCT) scans from January 1, 2008 through June 30, 2015 at our hospital. We also evaluated the same parameters 1-year later., Results: We identified 65 IPF patients. The mean age was 71.9±1.8 years (range, 22-85 years). In terms of PFTs, mean percent predicted forced vital capacity (%FVC) was 69.8±2.7. Baseline mean body mass index (BMI) was 24.3±0.6 kg/mm 2 . Mean survival was 39.2 months (range, 0.9-158.9 months). Cox proportional hazard ratios (HRs) showed the following to be predictors of mortality in IPF patients: 1-year BMI (HR: 0.899; 95% CI: 0.825-0.979; P=0.021); 1-year %FVC (HR: 0.932; 95% CI: 0.887-0.979; P=0.005) and 1-year respiratory hospitalization (HR: 3.307; 95% CI: 2.149-5.090; P<0.001). On the basis of these date, we created a new staging method for predicting mortality for IPF patients, consisting of delta BMI, delta %FVC and respiratory hospitalization within a year following diagnosis of IPF (BFR staging). We stratified patients into one of three groups according to the composite points. Mean survival of stages 1, 2, and 3 was 77.9 (30.8-158.9), 43.9 (0.9-145.2) and 14.8 (3.5-32) months (P<0.001), respectively., Conclusions: In our cohort of IPF patients, this new staging method, including delta BMI and delta %FVC and respiratory hospitalization within 1-year showed a clear survival difference., Competing Interests: The authors have no conflicts of interest to declare.

Published
2016
Full Text
View/download PDF

49. Clinical characteristics of idiopathic pulmonary fibrosis patients according to their smoking status.

Author

Kishaba T, Nagano H, Nei Y, and Yamashiro S

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is the most common form of idiopathic interstitial pneumonias (IIPs) of unknown etiology that often affects male, elderly smokers. However, it is sometimes observed in never smokers. This study aimed to clarify the clinical characteristics of IPF in never-smoking patients compared with those in smoking patients., Methods: We retrospectively reviewed medical records, pulmonary function tests, and chest high-resolution computed tomography (HRCT) scan of never-smoking and smoking IPF patients from July 1, 2008 to June 30, 2013 at our hospital., Results: We identified 32 never-smoking IPF patients and 66 smoking IPF patients. Never-smoking IPF patients developed more acute exacerbation (AE) than smoking IPF patients (50% vs. 18.2%, P<0.0001). The strongest predictor of AE in never-smoking IPF was modified Medical Research Council (mMRC) breathlessness scale [Hazards ratio (HR), 2.84, P=0.006]. The median survival time of never-smoking and smoking were 18.5 (0.1-138) and 26.3 (0.1-98.4) months, P<0.0001, respectively. The Cox proportional hazard model showed that 1-year mMRC breathlessness scale (HR, 3.24, P=0.001) and gender, age, and physiology (GAP) score (HR, 1.59, P=0.029) were strong predictors of mortality in never-smoking IPF patients at our hospital., Conclusions: In conclusion, never-smoking IPF patients developed AE more often and showed poor prognosis compared with smoking IPF patients. The 1-year mMRC breathlessness scale was an important predictor of mortality at our hospital.

Published
2016
Full Text
View/download PDF

50. Clinical characteristics of idiopathic pulmonary fibrosis patients with gender, age, and physiology staging at Okinawa Chubu Hospital.

Author

Kishaba T, Shimaoka Y, Fukuyama H, Nagano H, Nei Y, Yamashiro S, and Tamaki H

Abstract

Background: Gender, age, and physiology (GAP) staging was recently advocated for idiopathic pulmonary fibrosis (IPF). However, clinical findings of GAP staging for IPF are limited. We aimed to investigate the clinical characteristics of IPF patients according to GAP staging in our hospital., Methods: We retrospectively reviewed patient medical records and chest high-resolution computed tomography (HRCT) images from June 1, 2002, to December 31, 2012., Results: We identified 54 IPF patients with [36 men; mean age: 71 years (range, 53-85 years)]. Mean fibrosis and ground glass opacity (GGO) scores were 1.9 (0-4) and 1.6 (1-3.3), respectively. Mean percent predicted forced vital capacity (% FVC), percent predicted diffusing capacity of the lung for carbon monoxide (% DLco) were 70.6 (6.4-114.3), 49.2 (15-105.9), respectively. Cox proportional hazards model showed that gender, percent predicted diffusing capacity of the lung for carbon monoxide (% DLco), and composite physiologic index (CPI) were strong predictors of mortality. Stage III patients had more pulmonary hypertension (50% vs. 23%, 0%) and progressive modified Medical Research Council (mMRC) changes at 1 year (1.3 vs. 0.6, 1.1; P=0.07) compared with other stages., Conclusions: In our cohort, GAP staging was useful for evaluating IPF severity. Stage III patients might had more pulmonary hypertension and progressive dyspnea. Multicenter analyses are warranted to confirm these findings.

Published
2015
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results