Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Insects|February 26, 2025
An Evaluation of <i>Spodoptera littoralis</i> and <i>Spodoptera exigua</i> as Natural Prey for the Generalist Predator <i>Chrysoperla carnea</i>Agustín Garzón, Óscar Giovanni Gutiérrez-Cárdenas, Beatriz Dáder, et al.
Cirugia Espanola|May 3, 2022
Risk factors for surgical failure in patients undergoing surgery for primary hyperparathyroidismSantiago Olguín Joseau, Ariel Arias, Agustín Garzón, et al.
Cirugia Espanola|July 13, 2021
Risk factors for surgical failure in patients undergoing surgery for primary hyperparathyroidismSantiago Olguín Joseau, Ariel Arias, Agustín Garzón, et al.
Insects|November 10, 2020
The Role of <i>Chrysoperla carnea</i> (Steph.) (Neuroptera: Chrysopidae) as a Potential Dispersive Agent of Noctuid BaculovirusesOscar Giovanni Gutiérrez-Cárdenas, Ángeles Adán, Inés Beperet, et al.
Pest Management Science|June 22, 2023
A novel use of Nesidiocoris tenuis (Reuter) (Hemiptera: Miridae) as inoculative agent of baculovirusesOscar Giovanni Gutiérrez-Cárdenas, Ángeles Adán, Pilar Medina, et al.
Ecotoxicology (London, England)|March 16, 2016
Lethal and sublethal effects of pesticides on Chrysoperla carnea larvae (Neuroptera: Chrysopidae) and the influence of rainfastness in their degradation pattern over timeJader Braga Maia, Geraldo Andrade Carvalho, Pilar Medina, et al.
Revista De La Facultad De Ciencias Medicas (Cordoba, Argentina)|December 28, 2021
Six-year experience of microvascular free-flap reconstruction of head and neck neoplasmsSantiago Olguín Joseau, Ariel Arias, Juan Carlos Sánchez, et al.
BMC Pediatrics|May 29, 2024
Integrating classification and regression learners with bioimpedance methods for estimating weight status in infants and juveniles from the southern Cuba regionTaira Batista Luna, Jose Luis García Bello, Agustín Garzón Carbonell, et al.
BMC Pediatrics|May 6, 2024
The role of various physiological and bioelectrical parameters for estimating the weight status in infants and juveniles cohort from the Southern Cuba region: a machine learning studyTaira Batista Luna, Jose Luis García Bello, Agustín Garzón Carbonell, et al.
Pageof 1