Results 111 to 120 of about 23,228 (258)
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone +3 more
wiley +1 more source
ABSTRACT The circular economy is gaining traction as a transformative approach to address climate change and the shortcomings of the linear economic model, which is defined by unsustainable production and consumption patterns. This study explores the implementation of circularity principles in the Spanish automotive industry, with particular attention ...
Salvador Perez‐Canto +2 more
wiley +1 more source
Decomposition of an elementary curve into Jordan curves [PDF]
openaire +2 more sources
Governance Drivers of Fossil Fuel Divestment: Evidence From Global Banks
ABSTRACT Climate change poses increasing transition risks for the banking sector, as financial institutions remain exposed to fossil fuel activities despite growing sustainability commitments. This study examines whether corporate governance influences banks' decisions to adopt fossil fuel divestment policies.
Rosella Carè +3 more
wiley +1 more source
Metabolic syndrome prediction based on body composition indices
Background Metabolic syndrome (MetS) is an important public health issue that has been lately linked as a growing concern worldwide. The objective To find out which anthropometric and body composition indices can prognosticate MetS in Jordanian adult ...
Buthaina Alkhatib +3 more
doaj +1 more source
Geographic biases and gaps in the sampling of plant–pollinator networks
Plant–pollinator interactions are essential for maintaining biodiversity and supporting food production, yet inferences drawn from network syntheses may be shaped by where interaction data are generated and which datasets are most reused. Here, we quantify the global distribution of published plant–pollinator networks, assess how publication rates vary
Emanuelle L. S. Brito +3 more
wiley +1 more source
Citizen science deepens the ecological and climatic dimensions of mosquito surveillance
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias +2 more
wiley +1 more source
Letting People in: Redefining Collaboration in Wildland–Urban Interface Governance
ABSTRACT Intensifying wildfire regimes and expanding human settlements into wilderness areas have heightened concerns about the wildland–urban interface (WUI) due to the associated increase in fire risk. However, the WUI presents broader social‐ecological challenges that go beyond wildfire risk and remain understudied.
Clara Mosso +5 more
wiley +1 more source

