Results 121 to 130 of about 54,883 (208)

Amazonian Fungal Diversity and the Potential of Basidiomycetes as Sources of Novel Antimicrobials. [PDF]

Biology (Basel)
Dos Santos LCRM, de Almeida JDR, de Sousa NSO, Fernandes FDS, Ennes JFV, Frickmann H, de Souza JVB, de Souza ÉS.   +7 more
europepmc   +1 more source

Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs

Networks, EarlyView.
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w)$$ G=\left(V,\kern0.3em E,\kern0.3em w\right) $$ is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP$$ \mathbf{NP} $$‐hard. Next to 13 novel data
Jannick Borowitz, Ernestine Großmann, Christian Schulz   +2 more
wiley   +1 more source

Scene-level movie data from Amazon X-Ray in the US market combined with IMDb. [PDF]

Sci Data
Shrestha S, Heo Y, Barron ATJ, Park M.
europepmc   +1 more source

Clarifying nomenclatural uncertainties in Jupunba (Caesalpinioideae, Leguminosae)

Nordic Journal of Botany, EarlyView.
Molecular phylogenetic studies have prompted substantial revisions in the systematics of the former genus Abarema, resulting in the reinstatement of the genera Punjuba and Jupunba, and a re‐circumscription of Abarema. Despite these advances, some taxa still require nomenclatural adjustments to reflect monophyletic lineages.
Ethiéne Guerra, Marcos Vinicius Batista Soares, Marli Pires Morim, João Ricardo Vieira Iganci   +3 more
wiley   +1 more source

Paternal effects without paternity? Testing non-genetic male influence on offspring size and brood size in a gynogenetic vertebrate, the Amazon molly (Poecilia formosa). [PDF]

PLoS One
Scherer U, Ehlman SM, Bierbach D, Krause J, Wolf M.   +4 more
europepmc   +1 more source

Taxonomy and diversity of Marcgraviaceae, north of the São Francisco river, northeast Brazil

Nordic Journal of Botany, EarlyView.
This study provides a comprehensive assessment of Marcgraviaceae species diversity north of the São Francisco river in northeastern Brazil, analyzing species richness and distribution patterns across 384 000 km² of phytogeographic domains. Through field collections, herbarium studies (both physical and digital), and detailed morphological analyses, we ...
Thales Carvalho, D. Victor Souza e Silva, William Matzenauer, Yuri Couceiro, Marccus Alves   +4 more
wiley   +1 more source

Social and environmental determinants of Neglected infectious diseases in quilombola communities of the Brazilian Amazon: An epidemiological and machine learning analysis. [PDF]

PLoS Negl Trop Dis
Fernandes da Silva EM, Aquino LS, Maranhão EP, de Oliveira SMS, Quaresma TC, Marinho DF, Gomes Conde VM, do Nascimento VB, Simplício IOB, do Nascimento Martins NV, Honorato M, de Souza AES, de Paula Fernandes F, Galvão EFC, Valentim LA.   +14 more
europepmc   +1 more source

Update on Ouratea cidiana Sastre (Ochnaceae), a microendemic species from the Amazon: enlightening the identity and conservation status

Nordic Journal of Botany, EarlyView.
Ouratea cidiana (Ochnaceae) is a microendemic shrub species from the Brazilian Amazonia, occurring along the banks of the Trombetas River and restricted to the Cachoeira Porteira region, in western Pará State. Since the original collection nearly forty years ago, no additional records have been made, which is concerning given the continuous decline in ...
Clebiana de Sá Nunes, Mayara Dias Caldas, Fúvio Rubens Oliveira‐da‐ Silva, Anna Luiza Ilkiu‐ Borges, André dos Santos Bragança Gil   +4 more
wiley   +1 more source

Diversity and structure of riparian forests in an industrial and urban hub of the Amazon. [PDF]

Environ Monit Assess
de Matos Rodrigues JI, Martins WBR, de Lima Guedes M, de Assis Oliveira F, Ferreira GC.   +4 more
europepmc   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source