Optimising the distribution system of existing scarce water supply in a mountain indigenous community

Autor: Epiphania Magwilang, Francisco Armas, Annie Lourie Paredes, Helen Grace Bugnay, Rose Dagupen

Publikováno v: LHB Hydroscience Journal, Vol 109, Iss 1 (2023)

ABSTRACTDeveloping rural areas in the Philippines are in urgent need of advanced technologies and analytical solutions to optimise the use of the existing gravity-fed scarce water supply and its proportional distribution to the community. Low water v

Externí odkaz: https://doaj.org/article/6cab92eedc0a42e48d005ea98766232c

Fragmented landscape generator (flsgen): A neutral landscape generator with control of landscape structure and fragmentation indices

Autor: Gregoire Blanchard, Xavier Lorca, Dimitri Justeau-Allaire, Philippe Birnbaum, Ghislain Vieilledent, Thomas, Paul Ibanez

Publikováno v: Methods in Ecology and Evolution
Methods in Ecology and Evolution, 2022, 13 (7), pp.1412-1420. ⟨10.1111/2041-210X.13859⟩

International audience; 1. Neutral landscape models have many applications in ecology, such as supporting spatially-explicit simulations, developing, and evaluating landscape indices. However, current approaches provide few options to produce large l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1700cb09c364531da1ab538565fedbff
https://doi.org/10.1111/2041-210x.13859

Ecuación de mercado y segmentación por derivación matemática: un modelo gerencial de toma de decisiones empresariales

Autor: Sánchez-Sánchez, Juan Diego

Publikováno v: The National Administration Review; Vol. 13 No. 2 (2022): Revista Nacional de Administración; e4478
Revista Nacional de Administración; Vol. 13 Núm. 2 (2022): Revista Nacional de Administración; e4478
Portal de Revistas UNED
Universidad Estatal a Distancia
instacron:UNED

The paper presents a proposal for a mathematical and management model for a business decision-making approach, which is based on the analysis of the market segmentation theory, but linked to the specific calculation of the different existing market l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::b4c2cf41b61a88d7caaeda1d7f0e0ca5
https://revistas.uned.ac.cr/index.php/rna/article/view/4478

Laisser sa trace : utiliser les interactions pour comprendre l'évolution

Autor: Besson, Mathilde

Les interactions font partie intégrante des écosystèmes. Que ce soit aux niveaux les plus fins, comme les protéines, ou les plus larges, comme les méta-communautés, il est possible de les regrouper en réseaux et d’en étudier la structure. C

Externí odkaz: http://hdl.handle.net/1866/26847
https://orcid.org/0000-0001-9955-9979

Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning

Autor: Ståle Sviland, Franz Josef Conraths, Magdalena Larska, Miguel Ángel Miranda Chueca, Alexander Mathis, Rene Bødker, Henrik Skovgård, Claire Garros, Thomas Balenghien, Renke Lühken, David Chavernac, Ignace Rakotoarivony, Delphine Delecolle, Bethsabée Scheid, Xavier Allene, Jan Chirico, Sonja Steinke, Petter Hopp, Marie-Laure Setier-Rio, Javier Lucientes, Ellen Kiel, Franz Rubel, Mats Gunnar Andersson, Bruno Mathieu, Anders Lindström, Anders Stockmarr, Anna Orłowska, Inger Sofie Hamnes, R. Estrada, Jörn Gethmann, Roger Venail, Wesley Tack, Katharina Brugger, Carlos Barceló, Ana Carolina Cuellar, Jonathan Lhoir, Søren Nielsen, Lene Jung Kjær, Andreas Baum, Marcin Smreczak, Jean-Claude Delécolle

Publikováno v: Parasites & Vectors, Vol 13, Iss 1, Pp 1-18 (2020)
Parasites and Vectors
Parasites and Vectors, BioMed Central, 2020, 13 (1), ⟨10.1186/s13071-020-04053-x⟩
Cuéllar, A C, Kjær, L J, Baum, A, Stockmarr, A, Skovgard, H, Nielsen, S A, Andersson, M G, Lindström, A, Chirico, J, Lühken, R, Steinke, S, Kiel, E, Gethmann, J, Conraths, F J, Larska, M, Smreczak, M, Orłowska, A, Hamnes, I, Sviland, S, Hopp, P, Brugger, K, Rubel, F, Balenghien, T, Garros, C, Rakotoarivony, I, Allène, X, Lhoir, J, Chavernac, D, Delécolle, J-C, Mathieu, B, Delécolle, D, Setier-Rio, M-L, Scheid, B, Chueca, M Á M, Barceló, C, Lucientes, J, Estrada, R, Mathis, A, Venail, R, Tack, W & Bødker, R 2020, ' Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning ', Parasites & Vectors, vol. 13, no. 1, 194 . https://doi.org/10.1186/s13071-020-04053-x
Cuéllar, A C, Kjær, L J, Baum, A, Stockmarr, A, Skovgard, H, Nielsen, S A, Andersson, M G, Lindström, A, Chirico, J, Lühken, R, Steinke, S, Kiel, E, Gethmann, J, Conraths, F J, Larska, M, Smreczak, M, Orłowska, A, Hamnes, I, Sviland, S, Hopp, P, Brugger, K, Rubel, F, Balenghien, T, Garros, C, Rakotoarivony, I, Allène, X, Lhoir, J, Chavernac, D, Delécolle, J C, Mathieu, B, Delécolle, D, Setier-Rio, M L, Scheid, B, Chueca, M Á M, Barceló, C, Lucientes, J, Estrada, R, Mathis, A, Venail, R, Tack, W & Bødker, R 2020, ' Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning ', Parasites and Vectors, vol. 13, no. 1, 194 . https://doi.org/10.1186/s13071-020-04053-x
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Parasites & Vectors
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname

Background Culicoides biting midges transmit viruses resulting in disease in ruminants and equids such as bluetongue, Schmallenberg disease and African horse sickness. In the past decades, these diseases have led to important economic losses for farm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::265b3fb2d58040c684c6e420423aa719
http://link.springer.com/article/10.1186/s13071-020-04053-x