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Artigo de periodico
Challenging the safety and efficacy of topically applied chlorogenic acid, apigenin, kaempferol, and naringenin by HET-CAM, HPLC-TBARS-EVSC, and laser Doppler flowmetry (2024)
Ruscinc, Nadia ; Serafim, Ricardo Augusto Massarico; Almeida, Cíntia; Rosado, Catarina ; Baby, André Rolim
Source: Fronters Chemistry. Unidade: FCF
Subjects: POLIFENÓIS, COSMÉTICOS, ANTI-INFLAMATÓRIOS, ANTIOXIDANTES
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ABNT
RUSCINC, Nadia et al. Challenging the safety and efficacy of topically applied chlorogenic acid, apigenin, kaempferol, and naringenin by HET-CAM, HPLC-TBARS-EVSC, and laser Doppler flowmetry. Fronters Chemistry, v. 12, p. 1-11 art. 1400881, 2024Tradução . . Disponível em: https://dx.doi.org/10.3389/fchem.2024.1400881. Acesso em: 06 nov. 2024.
APA
Ruscinc, N., Serafim, R. A. M., Almeida, C., Rosado, C., & Baby, A. R. (2024). Challenging the safety and efficacy of topically applied chlorogenic acid, apigenin, kaempferol, and naringenin by HET-CAM, HPLC-TBARS-EVSC, and laser Doppler flowmetry. Fronters Chemistry, 12, 1-11 art. 1400881. doi:10.3389/fchem.2024.1400881
NLM
Ruscinc N, Serafim RAM, Almeida C, Rosado C, Baby AR. Challenging the safety and efficacy of topically applied chlorogenic acid, apigenin, kaempferol, and naringenin by HET-CAM, HPLC-TBARS-EVSC, and laser Doppler flowmetry [Internet]. Fronters Chemistry. 2024 ; 12 1-11 art. 1400881.[citado 2024 nov. 06 ] Available from: https://dx.doi.org/10.3389/fchem.2024.1400881.
Vancouver
Ruscinc N, Serafim RAM, Almeida C, Rosado C, Baby AR. Challenging the safety and efficacy of topically applied chlorogenic acid, apigenin, kaempferol, and naringenin by HET-CAM, HPLC-TBARS-EVSC, and laser Doppler flowmetry [Internet]. Fronters Chemistry. 2024 ; 12 1-11 art. 1400881.[citado 2024 nov. 06 ] Available from: https://dx.doi.org/10.3389/fchem.2024.1400881.
Artigo de periodico
Levelling-up rhodolith-bed science to address global-scale conservation challenges (2023)
Tuya, Fernando ; Schubert, Nadine ; Aguirre, Julio; Basso, Daniela ; Bastos, Eduardo de Oliveira ; Berchez, Flávio ; Bernardino, Ângelo Fraga ; Bosch, Néstor E. ; Burdett, Heidi L. ; Espino, Fernando ; Fernández-Gárcia, Cindy ; Francini Filho, Ronaldo Bastos ; Gagnon, Patrick ; Hall-Spencer, Jason Michael ; Haroun, Ricardo ; Hofmann, Laurie C. ; Horta, Paulo Antunes ; Kamenos, Nicholas A. ; Gall, Line Le ; Magris, Rafael Almeida ; Martin, Sophie ; Nelson, Wendy A. ; Neves, Pedro; Olivé, Irene ; Otero-Ferrer, Francisco J. ; Peña, Viviana ; Pereira-Filho, Guilherme Henrique ; Ragazzola, Federica ; Rebelo, Ana Cristina ; Ribeiro, Cláudia; Rinde, Eli ; Schoenrock, Kathryn ; Silva, João; Sissini, Marina Nasri ; Tâmega, Frederico Tapajós de Souza
Source: Science of the Total Environment (print). Unidades: IB, CEBIMAR
Subjects: ECOLOGIA MARINHA, ALGAS MARINHAS
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ABNT
TUYA, Fernando et al. Levelling-up rhodolith-bed science to address global-scale conservation challenges. Science of the Total Environment (print), v. 892, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2023.164818. Acesso em: 06 nov. 2024.
APA
Tuya, F., Schubert, N., Aguirre, J., Basso, D., Bastos, E. de O., Berchez, F., et al. (2023). Levelling-up rhodolith-bed science to address global-scale conservation challenges. Science of the Total Environment (print), 892. doi:10.1016/j.scitotenv.2023.164818
NLM
Tuya F, Schubert N, Aguirre J, Basso D, Bastos E de O, Berchez F, Bernardino ÂF, Bosch NE, Burdett HL, Espino F, Fernández-Gárcia C, Francini Filho RB, Gagnon P, Hall-Spencer JM, Haroun R, Hofmann LC, Horta PA, Kamenos NA, Gall LL, Magris RA, Martin S, Nelson WA, Neves P, Olivé I, Otero-Ferrer FJ, Peña V, Pereira-Filho GH, Ragazzola F, Rebelo AC, Ribeiro C, Rinde E, Schoenrock K, Silva J, Sissini MN, Tâmega FT de S. Levelling-up rhodolith-bed science to address global-scale conservation challenges [Internet]. Science of the Total Environment (print). 2023 ; 892[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.164818
Vancouver
Tuya F, Schubert N, Aguirre J, Basso D, Bastos E de O, Berchez F, Bernardino ÂF, Bosch NE, Burdett HL, Espino F, Fernández-Gárcia C, Francini Filho RB, Gagnon P, Hall-Spencer JM, Haroun R, Hofmann LC, Horta PA, Kamenos NA, Gall LL, Magris RA, Martin S, Nelson WA, Neves P, Olivé I, Otero-Ferrer FJ, Peña V, Pereira-Filho GH, Ragazzola F, Rebelo AC, Ribeiro C, Rinde E, Schoenrock K, Silva J, Sissini MN, Tâmega FT de S. Levelling-up rhodolith-bed science to address global-scale conservation challenges [Internet]. Science of the Total Environment (print). 2023 ; 892[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.164818
Artigo de periodico
The global biogeography of tree leaf form and habit (2023)
Ma, Haozhi; Crowther, Thomas W; Mo, Lidong; Maynard, Daniel S; Brancalion, Pedro Henrique Santin ; César, Ricardo Gomes
Source: Nature Plants. Unidade: ESALQ
Subjects: ÁRVORES FLORESTAIS, BIOGEOGRAFIA, ECOLOGIA FLORESTAL, FOLHAS (PLANTAS), INVENTÁRIO FLORESTAL
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ABNT
MA, Haozhi et al. The global biogeography of tree leaf form and habit. Nature Plants, v. 9, p. 1795–1809, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41477-023-01543-5. Acesso em: 06 nov. 2024.
APA
Ma, H., Crowther, T. W., Mo, L., Maynard, D. S., Brancalion, P. H. S., & César, R. G. (2023). The global biogeography of tree leaf form and habit. Nature Plants, 9, 1795–1809. doi:10.1038/s41477-023-01543-5
NLM
Ma H, Crowther TW, Mo L, Maynard DS, Brancalion PHS, César RG. The global biogeography of tree leaf form and habit [Internet]. Nature Plants. 2023 ; 9 1795–1809.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1038/s41477-023-01543-5
Vancouver
Ma H, Crowther TW, Mo L, Maynard DS, Brancalion PHS, César RG. The global biogeography of tree leaf form and habit [Internet]. Nature Plants. 2023 ; 9 1795–1809.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1038/s41477-023-01543-5
Artigo de periodico
The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes (2023)
Santos, Anderson Paulo Avila ; Nata'ala, Muhammad Kabiru ; Kasmanas, Jonas Coelho ; Bartholomäus, Alexander ; Keller-Costa, Tina ; Jurburg, Stephanie D ; Tal, Tamara ; Camarinha-Silva, Amélia ; Saraiva, João Pedro ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Stadler, Peter F ; Sanches, Danilo Sipoli ; Rocha, Ulisses Nunes da
Source: Animal Microbiome. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, ECOLOGIA MICROBIANA, METADADOS, BASES DE DADOS
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ABNT
SANTOS, Anderson Paulo Avila et al. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Animal Microbiome, v. 5, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1186/s42523-023-00267-3. Acesso em: 06 nov. 2024.
APA
Santos, A. P. A., Nata'ala, M. K., Kasmanas, J. C., Bartholomäus, A., Keller-Costa, T., Jurburg, S. D., et al. (2023). The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Animal Microbiome, 5, 1-13. doi:10.1186/s42523-023-00267-3
NLM
Santos APA, Nata'ala MK, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes [Internet]. Animal Microbiome. 2023 ; 5 1-13.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1186/s42523-023-00267-3
Vancouver
Santos APA, Nata'ala MK, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes [Internet]. Animal Microbiome. 2023 ; 5 1-13.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1186/s42523-023-00267-3
Artigo de periodico
Vet-ICD-O-Canine-1, a system for coding canine neoplasms based on the human ICD-O-3.2 (2022)
Pinello, Katia ; Baldassarre, Valeria ; Steiger, Katja ; Paciello, Orlando; Pires, Isabel ; Laufer-Amorim, Renée ; Oevermann, Anna ; Niza-Ribeiro, João ; Aresu, Luca ; Rous, Brian ; Znaor, Ariana; Cree, Ian A; Guscetti, Franco ; Palmieri, Chiara ; Dagli, Maria Lúcia Zaidan
Source: Cancers. Unidade: FMVZ
Subjects: CÃES, NEOPLASIAS EM ANIMAL, REGISTROS DE DOENÇAS
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ABNT
PINELLO, Katia et al. Vet-ICD-O-Canine-1, a system for coding canine neoplasms based on the human ICD-O-3.2. Cancers, v. 14, n. 6, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.3390/cancers14061529. Acesso em: 06 nov. 2024.
APA
Pinello, K., Baldassarre, V., Steiger, K., Paciello, O., Pires, I., Laufer-Amorim, R., et al. (2022). Vet-ICD-O-Canine-1, a system for coding canine neoplasms based on the human ICD-O-3.2. Cancers, 14( 6), 1-14. doi:10.3390/cancers14061529
NLM
Pinello K, Baldassarre V, Steiger K, Paciello O, Pires I, Laufer-Amorim R, Oevermann A, Niza-Ribeiro J, Aresu L, Rous B, Znaor A, Cree IA, Guscetti F, Palmieri C, Dagli MLZ. Vet-ICD-O-Canine-1, a system for coding canine neoplasms based on the human ICD-O-3.2 [Internet]. Cancers. 2022 ; 14( 6): 1-14.[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/cancers14061529
Vancouver
Pinello K, Baldassarre V, Steiger K, Paciello O, Pires I, Laufer-Amorim R, Oevermann A, Niza-Ribeiro J, Aresu L, Rous B, Znaor A, Cree IA, Guscetti F, Palmieri C, Dagli MLZ. Vet-ICD-O-Canine-1, a system for coding canine neoplasms based on the human ICD-O-3.2 [Internet]. Cancers. 2022 ; 14( 6): 1-14.[citado 2024 nov. 06 ] Available from: https://doi.org/10.3390/cancers14061529
Artigo de periodico
MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes (2022)
Nata'ala, Muhammad Kabiru ; Santos, Anderson Paulo Avila ; Kasmanas, Jonas Coelho ; Bartholomäus, Alexander ; Saraiva, João Pedro ; Silva, Sandra Godinho ; Keller-Costa, Tina ; Costa, Rodrigo; Gomes, Newton Carlos Marcial ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Stadler, Peter F ; Sanches, Danilo Sipoli ; Rocha, Ulisses Nunes da
Source: Environmental Microbiome. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, METADADOS, BANCO DE DADOS, ECOLOGIA MICROBIANA
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ABNT
NATA'ALA, Muhammad Kabiru et al. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes. Environmental Microbiome, v. 17, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1186/s40793-022-00449-7. Acesso em: 06 nov. 2024.
APA
Nata'ala, M. K., Santos, A. P. A., Kasmanas, J. C., Bartholomäus, A., Saraiva, J. P., Silva, S. G., et al. (2022). MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes. Environmental Microbiome, 17, 1-10. doi:10.1186/s40793-022-00449-7
NLM
Nata'ala MK, Santos APA, Kasmanas JC, Bartholomäus A, Saraiva JP, Silva SG, Keller-Costa T, Costa R, Gomes NCM, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes [Internet]. Environmental Microbiome. 2022 ; 17 1-10.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1186/s40793-022-00449-7
Vancouver
Nata'ala MK, Santos APA, Kasmanas JC, Bartholomäus A, Saraiva JP, Silva SG, Keller-Costa T, Costa R, Gomes NCM, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes [Internet]. Environmental Microbiome. 2022 ; 17 1-10.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1186/s40793-022-00449-7
Trabalho de evento-anais periodico
Searching for dark matter with the Southern Wide-field Gamma-ray Observatory (SWGO) (2022)
Viana, Aion ; Albert, Andrea; Harding, J. Patrick; Hinton, Jim; Schoorlemmer, Harm; Souza, Vitor de
Source: Proceedings of Science. Conference titles: International Cosmic Ray Conference - ICRC. Unidade: IFSC
Subjects: ASTROFÍSICA, FÍSICA DE ALTA ENERGIA, RAIOS GAMA
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ABNT
VIANA, Aion et al. Searching for dark matter with the Southern Wide-field Gamma-ray Observatory (SWGO). Proceedings of Science. Trieste: Scuola Internazionale Superiore di Studi Avanzati - SISSA. Disponível em: https://doi.org/10.22323/1.395.0555. Acesso em: 06 nov. 2024. , 2022
APA
Viana, A., Albert, A., Harding, J. P., Hinton, J., Schoorlemmer, H., & Souza, V. de. (2022). Searching for dark matter with the Southern Wide-field Gamma-ray Observatory (SWGO). Proceedings of Science. Trieste: Scuola Internazionale Superiore di Studi Avanzati - SISSA. doi:10.22323/1.395.0555
NLM
Viana A, Albert A, Harding JP, Hinton J, Schoorlemmer H, Souza V de. Searching for dark matter with the Southern Wide-field Gamma-ray Observatory (SWGO) [Internet]. Proceedings of Science. 2022 ; 395 555-1-555-10.[citado 2024 nov. 06 ] Available from: https://doi.org/10.22323/1.395.0555
Vancouver
Viana A, Albert A, Harding JP, Hinton J, Schoorlemmer H, Souza V de. Searching for dark matter with the Southern Wide-field Gamma-ray Observatory (SWGO) [Internet]. Proceedings of Science. 2022 ; 395 555-1-555-10.[citado 2024 nov. 06 ] Available from: https://doi.org/10.22323/1.395.0555
Artigo de periodico
Predictors of enhancing human physical attractiveness: data from 93 countries (2022)
Kowal, Marta ; Sorokowski, Piotr ; Pisanski, Katarzyna ; Valentova, Jaroslava Varella ; Varella, Marco Antonio Correa ; Frederick, David A ; Al-Shawaf, Laith ; García, Felipe E ; Giammusso, Isabella ; Gjoneska, Biljana ; Kozma, Luca ; Otterbring, Tobias ; Papadatou-Pastou, Marietta ; Pfuhl, Gerit ; Stöckli, Sabrina ; Studzinska, Anna ; Toplu-Demirtas, Ezgi; Touloumakos, Anna K ; Bakos, Bence E; Batres, Carlota ; Bonneterre, Solenne; Czamanski-Cohen, Johanna; Dacanay, Jovi C; Deschrijver, Eliane; Fisher, Maryanne ; Grano, Caterina; Grigoryev, Dmitry; Kačmár, Pavol ; Kozlov, Mikhail; Manunta, Efisio; Massar, Karlijn; McFall, Joseph P; Mebarak, Moises; Miccoli, Maria Rosa; Milfont, Taciano L; Prokop, Pavol; Aavik, Toivo; Arriaga, Patrícia; Baiocco, Roberto; Čeněk, Jiří; Çetinkaya, Hakan; Duyar, Izzet; Guemaz, Farida; Ishii, Tatsunori; Kamburidis, Julia A; Khun-Inkeeree, Hareesol; Lidborg, Linda H; Manor, Hagar; Nussinson, Ravit; Omar-Fauzee, Mohd Sofian B; Pazhoohi, Farid; Ponnet, Koen; Santos, Anabela Caetano; Senyk, Oksana; Spasovski, Ognen; Vintila, Mona; Wang, Austin H; Yoo, Gyesook; Zerhouni, Oulmann; Amin, Rizwana; Aquino, Sibele; Boğa, Merve; Boussena, Mahmoud; Can, Ali R; Can, Seda; Castro, Rita; Chirumbolo, Antonio; Çoker, Ogeday; Cornec, Clément; Dural, Seda; Eder, Stephanie J; Moharrampour, Nasim Ghahraman; Grassini, Simone; Hristova, Evgeniya; Ikizer, Gözde; Kervyn, Nicolas; Koyuncu, Mehmet; Kunisato, Yoshihiko; Lins, Samuel; Mandzyk, Tetyana; Mari, Silvia; Mattiassi, Alan D. A; Memisoglu-Sanli, Aybegum; Morelli, Mara; Novaes, Felipe C; Parise, Miriam; Banai, Irena Pavela; Perun, Mariia; Plohl, Nejc; Sahli, Fatima Zahra; Šakan, Dušana; Smojver-Azic, Sanja; Solak, Çağlar; Söylemez, Sinem; Toyama, Asako; Wlodarczyk, Anna; Yamada, Yuki; Abad-Villaverde, Beatriz; Afhami, Reza; Akello, Grace; Alami, Nael H; Alma, Leyla; Argyrides, Marios; Atamtürk, Derya; Burduli, Nana; Cardona, Sayra; Carneiro, João; Castañeda, Andrea; Chałatkiewicz, Izabela; Chopik, William J; Chubinidze, Dimitri; Conroy-Beam, Daniel; Contreras-Garduño, Jorge; Silva, Diana Ribeiro da; Don, Yahya B; Donato, Silvia; Dubrov, Dmitrii; Duračková, Michaela; Dutt, Sanjana; Ebimgbo, Samuel O; Estevan, Ignacio; Etchezahar, Edgardo; Fedor, Peter; Fekih-Romdhane, Feten; Frackowiak, Tomasz; Galasinska, Katarzyna; Gargula, Lukasz; Gelbart, Benjamin; Yepes, Talia Gomez; Hamdaoui, Brahim; Hromatko, Ivana; Itibi, Salome N; Jaforte, Luna; Janssen, Steve M. J ; Jovic, Marija; Kertechian, Kevin S; Khan, Farah; Kobylarek, Aleksander; Koso-Drljevic, Maida; Krasnodębska, Anna; Križanić, Valerija; Landa-Blanco, Miguel; Mailhos, Alvaro; Marot, Tiago; Dorcic, Tamara Martinac; Martinez-Banfi, Martha; Yusof, Mat Rahimi; Mayorga-Lascano, Marlon; Mikuličiūtė, Vita; Mišetić, Katarina; Musil, Bojan; Najmussaqib, Arooj; Muthu, Kavitha Nalla; Natividade, Jean C; Ndukaihe, Izuchukwu L. G; Nyhus, Ellen K; Oberzaucher, Elisabeth; Omar, Salma S; Ostaszewski, Franciszek; Pacquing, Ma. Criselda T; Pagani, Ariela F; Park, Ju Hee; Pirtskhalava, Ekaterine; Reips, Ulf-Dietrich; Reyes, Marc Eric S; Röer, Jan P; Şahin, Ayşegül; Samekin, Adil; Sargautytė, Rūta; Semenovskikh, Tatiana; Siepelmeyer, Henrik; Singh, Sangeeta; Soltys, Alicja; Sorokowska, Agnieszka; Soto-López, Rodrigo; Sultanova, Liliya; Tamayo-Agudelo, William; Tan, Chee-Seng; Topanova, Gulmira T; Bulut, Merve Topcu; Trémolière, Bastien; Tulyakul, Singha; Türkan, Belgüzar N; Urbanek, Arkadiusz; Volkodav, Tatiana; Walter, Kathryn V; Yaakob, Mohd Faiz Mohd; Zumárraga-Espinosa, Marcos
Source: Evolution and Human Behavior. Unidade: IP
Subjects: ATRAÇÃO INTERPESSOAL, APARÊNCIA FÍSICA, PSICOLOGIA EVOLUCIONISTA, REDES SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KOWAL, Marta et al. Predictors of enhancing human physical attractiveness: data from 93 countries. Evolution and Human Behavior, v. no 2022, n. 6, p. 455-474, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.evolhumbehav.2022.08.003. Acesso em: 06 nov. 2024.
APA
Kowal, M., Sorokowski, P., Pisanski, K., Valentova, J. V., Varella, M. A. C., Frederick, D. A., et al. (2022). Predictors of enhancing human physical attractiveness: data from 93 countries. Evolution and Human Behavior, no 2022( 6), 455-474. doi:10.1016/j.evolhumbehav.2022.08.003
NLM
Kowal M, Sorokowski P, Pisanski K, Valentova JV, Varella MAC, Frederick DA, Al-Shawaf L, García FE, Giammusso I, Gjoneska B, Kozma L, Otterbring T, Papadatou-Pastou M, Pfuhl G, Stöckli S, Studzinska A, Toplu-Demirtas E, Touloumakos AK, Bakos BE, Batres C, Bonneterre S, Czamanski-Cohen J, Dacanay JC, Deschrijver E, Fisher M, Grano C, Grigoryev D, Kačmár P, Kozlov M, Manunta E, Massar K, McFall JP, Mebarak M, Miccoli MR, Milfont TL, Prokop P, Aavik T, Arriaga P, Baiocco R, Čeněk J, Çetinkaya H, Duyar I, Guemaz F, Ishii T, Kamburidis JA, Khun-Inkeeree H, Lidborg LH, Manor H, Nussinson R, Omar-Fauzee MSB, Pazhoohi F, Ponnet K, Santos AC, Senyk O, Spasovski O, Vintila M, Wang AH, Yoo G, Zerhouni O, Amin R, Aquino S, Boğa M, Boussena M, Can AR, Can S, Castro R, Chirumbolo A, Çoker O, Cornec C, Dural S, Eder SJ, Moharrampour NG, Grassini S, Hristova E, Ikizer G, Kervyn N, Koyuncu M, Kunisato Y, Lins S, Mandzyk T, Mari S, Mattiassi ADA, Memisoglu-Sanli A, Morelli M, Novaes FC, Parise M, Banai IP, Perun M, Plohl N, Sahli FZ, Šakan D, Smojver-Azic S, Solak Ç, Söylemez S, Toyama A, Wlodarczyk A, Yamada Y, Abad-Villaverde B, Afhami R, Akello G, Alami NH, Alma L, Argyrides M, Atamtürk D, Burduli N, Cardona S, Carneiro J, Castañeda A, Chałatkiewicz I, Chopik WJ, Chubinidze D, Conroy-Beam D, Contreras-Garduño J, Silva DR da, Don YB, Donato S, Dubrov D, Duračková M, Dutt S, Ebimgbo SO, Estevan I, Etchezahar E, Fedor P, Fekih-Romdhane F, Frackowiak T, Galasinska K, Gargula L, Gelbart B, Yepes TG, Hamdaoui B, Hromatko I, Itibi SN, Jaforte L, Janssen SMJ, Jovic M, Kertechian KS, Khan F, Kobylarek A, Koso-Drljevic M, Krasnodębska A, Križanić V, Landa-Blanco M, Mailhos A, Marot T, Dorcic TM, Martinez-Banfi M, Yusof MR, Mayorga-Lascano M, Mikuličiūtė V, Mišetić K, Musil B, Najmussaqib A, Muthu KN, Natividade JC, Ndukaihe ILG, Nyhus EK, Oberzaucher E, Omar SS, Ostaszewski F, Pacquing MCT, Pagani AF, Park JH, Pirtskhalava E, Reips U-D, Reyes MES, Röer JP, Şahin A, Samekin A, Sargautytė R, Semenovskikh T, Siepelmeyer H, Singh S, Soltys A, Sorokowska A, Soto-López R, Sultanova L, Tamayo-Agudelo W, Tan C-S, Topanova GT, Bulut MT, Trémolière B, Tulyakul S, Türkan BN, Urbanek A, Volkodav T, Walter KV, Yaakob MFM, Zumárraga-Espinosa M. Predictors of enhancing human physical attractiveness: data from 93 countries [Internet]. Evolution and Human Behavior. 2022 ; no 2022( 6): 455-474.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.evolhumbehav.2022.08.003
Vancouver
Kowal M, Sorokowski P, Pisanski K, Valentova JV, Varella MAC, Frederick DA, Al-Shawaf L, García FE, Giammusso I, Gjoneska B, Kozma L, Otterbring T, Papadatou-Pastou M, Pfuhl G, Stöckli S, Studzinska A, Toplu-Demirtas E, Touloumakos AK, Bakos BE, Batres C, Bonneterre S, Czamanski-Cohen J, Dacanay JC, Deschrijver E, Fisher M, Grano C, Grigoryev D, Kačmár P, Kozlov M, Manunta E, Massar K, McFall JP, Mebarak M, Miccoli MR, Milfont TL, Prokop P, Aavik T, Arriaga P, Baiocco R, Čeněk J, Çetinkaya H, Duyar I, Guemaz F, Ishii T, Kamburidis JA, Khun-Inkeeree H, Lidborg LH, Manor H, Nussinson R, Omar-Fauzee MSB, Pazhoohi F, Ponnet K, Santos AC, Senyk O, Spasovski O, Vintila M, Wang AH, Yoo G, Zerhouni O, Amin R, Aquino S, Boğa M, Boussena M, Can AR, Can S, Castro R, Chirumbolo A, Çoker O, Cornec C, Dural S, Eder SJ, Moharrampour NG, Grassini S, Hristova E, Ikizer G, Kervyn N, Koyuncu M, Kunisato Y, Lins S, Mandzyk T, Mari S, Mattiassi ADA, Memisoglu-Sanli A, Morelli M, Novaes FC, Parise M, Banai IP, Perun M, Plohl N, Sahli FZ, Šakan D, Smojver-Azic S, Solak Ç, Söylemez S, Toyama A, Wlodarczyk A, Yamada Y, Abad-Villaverde B, Afhami R, Akello G, Alami NH, Alma L, Argyrides M, Atamtürk D, Burduli N, Cardona S, Carneiro J, Castañeda A, Chałatkiewicz I, Chopik WJ, Chubinidze D, Conroy-Beam D, Contreras-Garduño J, Silva DR da, Don YB, Donato S, Dubrov D, Duračková M, Dutt S, Ebimgbo SO, Estevan I, Etchezahar E, Fedor P, Fekih-Romdhane F, Frackowiak T, Galasinska K, Gargula L, Gelbart B, Yepes TG, Hamdaoui B, Hromatko I, Itibi SN, Jaforte L, Janssen SMJ, Jovic M, Kertechian KS, Khan F, Kobylarek A, Koso-Drljevic M, Krasnodębska A, Križanić V, Landa-Blanco M, Mailhos A, Marot T, Dorcic TM, Martinez-Banfi M, Yusof MR, Mayorga-Lascano M, Mikuličiūtė V, Mišetić K, Musil B, Najmussaqib A, Muthu KN, Natividade JC, Ndukaihe ILG, Nyhus EK, Oberzaucher E, Omar SS, Ostaszewski F, Pacquing MCT, Pagani AF, Park JH, Pirtskhalava E, Reips U-D, Reyes MES, Röer JP, Şahin A, Samekin A, Sargautytė R, Semenovskikh T, Siepelmeyer H, Singh S, Soltys A, Sorokowska A, Soto-López R, Sultanova L, Tamayo-Agudelo W, Tan C-S, Topanova GT, Bulut MT, Trémolière B, Tulyakul S, Türkan BN, Urbanek A, Volkodav T, Walter KV, Yaakob MFM, Zumárraga-Espinosa M. Predictors of enhancing human physical attractiveness: data from 93 countries [Internet]. Evolution and Human Behavior. 2022 ; no 2022( 6): 455-474.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.evolhumbehav.2022.08.003
Artigo de periodico
Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture (2022)
Liu, Bin; Sträuber, Heike ; Saraiva, João Pedro ; Harms, Hauke ; Silva, Sandra Godinho ; Kasmanas, Jonas Coelho ; Kleinsteuber, Sabine ; Rocha, Ulisses Nunes da
Source: Microbiome. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REATORES BIOQUÍMICOS, BIOINDICADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIU, Bin et al. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture. Microbiome, v. 10, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1186/s40168-021-01219-2. Acesso em: 06 nov. 2024.
APA
Liu, B., Sträuber, H., Saraiva, J. P., Harms, H., Silva, S. G., Kasmanas, J. C., et al. (2022). Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture. Microbiome, 10, 1-21. doi:10.1186/s40168-021-01219-2
NLM
Liu B, Sträuber H, Saraiva JP, Harms H, Silva SG, Kasmanas JC, Kleinsteuber S, Rocha UN da. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture [Internet]. Microbiome. 2022 ; 10 1-21.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1186/s40168-021-01219-2
Vancouver
Liu B, Sträuber H, Saraiva JP, Harms H, Silva SG, Kasmanas JC, Kleinsteuber S, Rocha UN da. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture [Internet]. Microbiome. 2022 ; 10 1-21.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1186/s40168-021-01219-2
Artigo de periodico
Laser welding of H-phase strengthened Ni-rich NiTi-20Zr high temperature shape memory alloy (2021)
Oliveira, J. P.; Shen, Jiajia; Escobar, J. D.; Salvador, Camilo ; Schell, N.; Zhou, N.; Benafan, O.
Source: Materials & Design. Unidade: IF
Subjects: MATERIAIS, LIGAS METÁLICAS, DIFRAÇÃO POR RAIOS X, RADIAÇÃO SINCROTRON
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, J. P. et al. Laser welding of H-phase strengthened Ni-rich NiTi-20Zr high temperature shape memory alloy. Materials & Design, v. 202, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.matdes.2021.109533. Acesso em: 06 nov. 2024.
APA
Oliveira, J. P., Shen, J., Escobar, J. D., Salvador, C., Schell, N., Zhou, N., & Benafan, O. (2021). Laser welding of H-phase strengthened Ni-rich NiTi-20Zr high temperature shape memory alloy. Materials & Design, 202. doi:10.1016/j.matdes.2021.109533
NLM
Oliveira JP, Shen J, Escobar JD, Salvador C, Schell N, Zhou N, Benafan O. Laser welding of H-phase strengthened Ni-rich NiTi-20Zr high temperature shape memory alloy [Internet]. Materials & Design. 2021 ; 202[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.matdes.2021.109533
Vancouver
Oliveira JP, Shen J, Escobar JD, Salvador C, Schell N, Zhou N, Benafan O. Laser welding of H-phase strengthened Ni-rich NiTi-20Zr high temperature shape memory alloy [Internet]. Materials & Design. 2021 ; 202[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.matdes.2021.109533
Artigo de periodico
Standard methods for pollen research (2021)
Campos, Maria G ; Anjos, Ofelia ; Chica, Manuel ; Campoy, Pascual ; Nozkova, Janka; Abarcag, Norma Almaraz ; Barreto, Lidia M. R. C; Nordii, João Carlos; Estevinho, Leticia M; Pascoali, Ananias ; Paula, Vanessa Branco; Chopina, Altino; Dias, Luis G ; Tesic, Zivoslav L. j ; Mosic, Mirjana D; Kostic, Aleksandar Z ; Pesic, Mirjana B ; Opsenica, Dusanka M. Milojkovic ; Sickel, Wiebke ; Ankenbrand, Markus J ; Grimmer, Gudrun; Dewenter, Ingolf Steffan ; Keller, Alexander ; Forster, Frank ; Tananaki, Chrysoula H ; Liolios, Vasilios ; Kanelis, Dimitrios ; Rodopoulou, Maria Anna; Thrasyvoulou, Andreas ; Paulo, Luísa; Kast, Christina ; Lucchetti, Matteo A; Glauser, Gaetan; Lokutova, Olena; Almeida-Muradian, Ligia Bicudo de ; SzczeRsna, Teresa ; Carreck, Norman L
Source: Journal of Apicultural Research. Unidade: FCF
Subjects: PÓLEN, ANTIOXIDANTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAMPOS, Maria G et al. Standard methods for pollen research. Journal of Apicultural Research, v. 60, n. 4, p. 1–109, 2021Tradução . . Disponível em: https://doi.org/10.1080/00218839.2021.1948240. Acesso em: 06 nov. 2024.
APA
Campos, M. G., Anjos, O., Chica, M., Campoy, P., Nozkova, J., Abarcag, N. A., et al. (2021). Standard methods for pollen research. Journal of Apicultural Research, 60( 4), 1–109. doi:10.1080/00218839.2021.1948240
NLM
Campos MG, Anjos O, Chica M, Campoy P, Nozkova J, Abarcag NA, Barreto LMRC, Nordii JC, Estevinho LM, Pascoali A, Paula VB, Chopina A, Dias LG, Tesic ZL j, Mosic MD, Kostic AZ, Pesic MB, Opsenica DMM, Sickel W, Ankenbrand MJ, Grimmer G, Dewenter IS, Keller A, Forster F, Tananaki CH, Liolios V, Kanelis D, Rodopoulou MA, Thrasyvoulou A, Paulo L, Kast C, Lucchetti MA, Glauser G, Lokutova O, Almeida-Muradian LB de, SzczeRsna T, Carreck NL. Standard methods for pollen research [Internet]. Journal of Apicultural Research. 2021 ; 60( 4): 1–109.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/00218839.2021.1948240
Vancouver
Campos MG, Anjos O, Chica M, Campoy P, Nozkova J, Abarcag NA, Barreto LMRC, Nordii JC, Estevinho LM, Pascoali A, Paula VB, Chopina A, Dias LG, Tesic ZL j, Mosic MD, Kostic AZ, Pesic MB, Opsenica DMM, Sickel W, Ankenbrand MJ, Grimmer G, Dewenter IS, Keller A, Forster F, Tananaki CH, Liolios V, Kanelis D, Rodopoulou MA, Thrasyvoulou A, Paulo L, Kast C, Lucchetti MA, Glauser G, Lokutova O, Almeida-Muradian LB de, SzczeRsna T, Carreck NL. Standard methods for pollen research [Internet]. Journal of Apicultural Research. 2021 ; 60( 4): 1–109.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1080/00218839.2021.1948240

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