Resultados de búsqueda - ((vary OR mary) OR very)*

  1. 521

    Desarrollo de algoritmos matemáticos para detectar la presencia de bacterias, hongos y plagas, utilizando sistemas de procesamiento de imágenes. por Grajeda González, Uziel Francisco

    Publicado 2018
    “…Due to the rapid spread and reproduction of the pest in different areas of Mexico, it is essential to use technologies such as the acquisition and processing of images, as well as the vision machine to assist monitoring and rapid counting process. It is also very important to consider in future research the release of an adequate amount of beneficial insects, such as Coccinellidae, because they can control the yellow aphid population in sorghum culture, as well as the use of hyperspectral image processing.…”
    Enlace del recurso
    Tesis
  2. 522

    A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions por Vilizzi, Lorenzo, Copp, Gordon H., Hill, Jeffrey E., Adamovich, Boris, Aislabie, Luke, Akin, Daniel, Al Faisal, Abbas J., Almeida, David, Azmai, M.N. Amal, Bakiu, Rigers, Bellati, Adriana, Bernier, Renée, Bies, Jason M., Bilge, Gökçen, Branco, Paulo, Bui, Thuyet D., Canning Clode, João, Cardoso Ramos, Henrique Anatole, Castellanos Galindo, Gustavo A., Castro, Nuno, Chaichana, Ratcha, Chainho, Paula, Chan, Joleen, Cunico, Almir M., Curd, Amelia, Dangchana, Punyanuch, Dashinov, Dimitriy, Davison, Phil I., De Camargo, Mariele P., Dodd, Jennifer A., Durland Donahou, Allison L., Edsman, Lennart, Ekmekçi, F. Güler, Elphinstone Davis, Jessica, Erős, Tibor, Evangelista, Charlotte, Fenwick, Gemma, Ferincz, Árpád, Ferreira, Teresa, Feunteun, Eric, Filiz, Halit, Forneck, Sandra C., Gajduchenko, Helen S., Gama Monteiro, João, Gestoso, Ignacio, Giannetto, Daniela, Gilles, Allan S., Gizzi, Francesca, Glamuzina, Branko, Glamuzina, Luka, Goldsmit, Jesica, Gollasch, Stephan, Goulletquer, Philippe, Grabowska, Joanna, Harmer, Rogan, Haubrock, Phillip J., He, Dekui, Hean, Jeffrey W., Herczeg, Gábor, Howland, Kimberly L., Ilhan, Ali, Interesova, Elena, Jakubčinová, Katarína, Jelmert, Anders, Johnsen, Stein I., Kakareko, Tomasz, Kanongdate, Kamalaporn, Killi, Nurçin, Kim, Jeong-Eun, Kırankaya, Şerife Gülsün, Kňazovická, Dominika, Kopecký, Oldřich, Kostov, Vasil, Koutsikos, Nicholas, Kozic, Sebastian, Kuljanishvili, Tatia, Kumar, Biju, Kumar, Lohith, Kurita, Yoshihisa, Kurtul, Irmak, Lazzaro, Lorenzo, Lee, Laura, Lehtiniemi, Maiju, Leonardi, Giovanni, Leuven, Rob S.E.W., Li, Shan, Lipinskaya, Tatsiana, Liu, Fei, Lloyd, Lance, Lorenzoni, Massimo, Luna, Sergio Alberto, Lyons, Timothy J., Magellan, Kit, Malmstrøm, Martin, Marchini, Agnese, Marr, Sean M., Masson, Gérard, Masson, Laurence, McKenzie, Cynthia H., Memedemin, Daniyar, Mendoza, Roberto, Minchin, Dan, Miossec, Laurence, Moghaddas, Seyed Daryoush, Moshobane, Moleseng C., Mumladze, Levan, Naddafi, Rahmat, Najafi Majd, Elnaz, Năstase, Aurel, Năvodaru, Ion, Neal, J. Wesley, Nienhuis, Sarah, Nimtim, Matura, Nolan, Emma T., Occhipinti Ambrogi, Anna, Ojaveer, Henn, Olenin, Sergej, Olsson, Karin, Onikura, Norio, O'Shaughnessy, Kathryn, Paganelli, Daniele, Parretti, Paola, Patoka, Jiří, Pavia, Richard Thomas B., Pellitteri Rosa, Daniele, Pelletier Rousseau, Michèle, Peralta, Elfritzson M., Perdikaris, Costas, Pietraszewski, Dariusz, Piria, Marina, Pitois, Sophie, Pompei, Laura, Poulet, Nicolas, Preda, Cristina, Puntila Dodd, Riikka, Qashqaei, Ali T., Radočaj, Tena, Rahmani, Hossein, Raj, Smrithy, Reeves, David, Ristovska, Milica, Rizevsky, Viktor, Robertson, D. Ross, Robertson, Peter, Ruykys, Laura, Saba, Abdulwakil O., Santos, José M., Sarı, Hasan M., Segurado, Pedro, Semenchenko, Vitaliy, Senanan, Wansuk, Simard, Nathalie, Simonović, Predrag, Skóra, Michał E., Slovák Švolíková, Kristína, Smeti, Evangelia, Smídová, Tereza, Spelić, Ivan, Srėbalienė, Greta, Stasolla, Gianluca, Stebbing, Paul, Stevove, Barbora, Suresh, Vettath R., Szajbert, Bettina, Ta, Kieu Anh T., Tarkan, Ali Serhan, Tempesti, Jonathan, Therriault, Thomas W., Tidbury, Hannah J., Top Karakuş, Nildeniz, Tricarico, Elena, Troca, Débora F.A., Tsiamis, Konstantinos, Tuckett, Quenton M., Tutman, Pero, Uyan, Umut, Uzunova, Eliza, Vardakas, Leonidas, Velle, Gaute, Verreycken, Hugo, Vintsek, Lizaveta, Wei, Hui, Weiperth, András, Weyl, Olaf L.F., Winter, Emily R., Włodarczyk, Radosław, Wood, Louisa E., Yang, Ruibin, Yapıcı, Sercan, Yeo, Shayne S.B., Yoğurtçuoğlu, Baran, Yunnie, Anna L.E., Zhu, Yunjie, Zięba, Grzegorz, Zitňanová, Kristína, Clarke, Stacey

    Publicado 2021
    “…In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. …”
    Enlace del recurso
    Artículo
  3. 523

    Desarrollo de algoritmos matemáticos para detectar la presencia de bacterias, hongos y plagas, utilizando sistemas de procesamiento de imágenes. por Grajeda González, Uziel Francisco

    Publicado 2018
    “…Due to the rapid spread and reproduction of the pest in different areas of Mexico, it is essential to use technologies such as the acquisition and processing of images, as well as the vision machine to assist monitoring and rapid counting process. It is also very important to consider in future research the release of an adequate amount of beneficial insects, such as Coccinellidae, because they can control the yellow aphid population in sorghum culture, as well as the use of hyperspectral image processing.…”
    Enlace del recurso
    Tesis
  4. 524
  5. 525

    A review of the effects of macroalgae in shrimp feeds and in co-culture por Cruz Suárez, Lucía Elizabeth, Tapia Salazar, Mireya, Nieto López, Martha Guadalupe, Ricque Marie, Denis

    Publicado 2008
    “…The optimum inclusion level varies depending on algae or consumer species. In many instances, the inclusion of algae in feed formulations has resulted in improved pellet quality (water stability, water holding capacity and texture), higher feed intake, improved feed efficiency, better growth performance and higher animal product quality (higher pigmentation, lower cholesterol content). …”
    Enlace del recurso
    Sección de libro.
  6. 526

    A Review of the Effects of Macroalgae in Shrimp Feeds and in Co-Culture por Cruz-Suárez, L. Elizabeth, Tapia-Salazar, Mireya, Nieto-López, Martha G., Ricque-Marie, Denis

    Publicado 2008
    “…The optimum inclusion level varies depending on algae or consumerspecies. In many instances, the inclusion of algae in feed formulations has resulted in improved pellet quality (waterstability, water holding capacity and texture), higher feed intake, improved feed efficiency, better growthperformance and higher animal product quality (higher pigmentation, lower cholesterol content). …”
    Enlace del recurso
    Artículo
  7. 527

    Neurofilamentopathy in Neurodegenerative Diseases por Liu, Quan, Xie, Fang, Alvarado Diaz, Abdiel, Smith, Mark A., Moreira, Paula I., Zhu, Xiongwei, Perry, George

    Publicado 2011
    “…Neurofilament protein alterations are found in many neurodegenerative diseases, such as amyotrophic lateral sclerosis, Parkinson, Alzheimer, and Charcot-Marie-Tooth. Abnormal modifications of neurofilament, such as mutation, oxidation and phosphorylation, are linked to the disease-related alteration. …”
    Enlace del recurso
    Artículo
  8. 528
  9. 529
  10. 530

    Análisis del discurso de los elementos nacionalistas en las películas Chicogrande (2010) y Ciudadano Buelna (2013) de Felipe Cazals por Frías, Luis Gerardo

    Publicado 2021
    “…Por lo tanto se realizó el método del análisis cinematográfico propuesto por Aumont y Marie (1990), el cual nos indica que como se ha visto en los últimos años el cine de la Revolución tiende al revisionismo pues todo sucede alrededor del conflicto, la historia se sitúa en personajes que si bien no son los héroes icónicos son cercanos a ellos y un claro ejemplo del discurso nacionalista.…”
    Enlace del recurso
    Artículo
  11. 531
  12. 532
  13. 533
  14. 534
  15. 535
  16. 536
  17. 537
  18. 538
  19. 539
  20. 540

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