Results 11 to 20 of about 260,652 (177)
Abstract In their efforts to digitize public service delivery, countries increasingly use algorithms based on mathematical models, data and/or a combination of different administrative datasets to issue decisions, but recent studies point towards challenges around citizens' understanding, accessing, and filing objections to such automated decisions ...
Sarah Giest, Annemarie Samuels
wiley +1 more source
Abstract Estimating the genetic variation underpinning a trait is crucial to understanding and predicting its evolution. A key statistical tool to estimate this variation is the animal model. Typically, the environment is modelled as an external variable independent of the organism, affecting the focal phenotypic trait via phenotypic plasticity.
Gabriel Munar‐Delgado +2 more
wiley +1 more source
In the context of a sample survey, the collection of information on a sensitive variable is difficult, which may cause nonresponse and measurement errors. Due to this, the estimates can be biased and the variation may increase. To overcome this difficulty, we propose an estimator for the estimation of a sensitive variable by using auxiliary information
Monica Choudhary +5 more
wiley +1 more source
Abstract Acceleration‐based proxies for activity and energy expenditure are widely used in bio‐logging studies of animal movement and locomotion to explore biomechanical strategies, energetic costs of behaviour, habitat use and the impact of anthropogenic disturbance.
Lucía Martina Martín López +3 more
wiley +1 more source
Assessing the impact of preventative measures to limit the spread of Toxoplasma gondii in wild carnivores of Madagascar. [PDF]
Abstract Novel multihost pathogens can threaten endangered wildlife species, as well as humans and domestic animals. The zoonotic protozoan parasite Toxoplasma gondii is transmitted by members of Felidae and can infect a large number of animal species, including humans.
Rasambainarivo FT +4 more
europepmc +2 more sources
This paper designs and implements a methodology to model the evolution of the COVID‐19 pandemic, produced by the SARS‐CoV‐2 virus, in what was called the first wave in Chile, which lasted from March 2 to 31 October 2020. The models are based on sigmoidal growth curves and can be used to predict the number of daily infections and deaths in future days ...
Francisco Novoa-Muñoz, A. E. Matouk
wiley +1 more source
Fuzzy: modelo matemático do subjetivo
O presente trabalho pretende ser uma divulgação básica dos conceitos fundamentais da Teoria de Conjuntos Fuzzy, como uma forma de mostrar um novo enfoque de Matemática, da qual já existem estudos específicos no terreno da Topologia, Espaços Vetoriais ...
Maria Aparecida Perre +3 more
doaj +1 more source
Modelling in science education and learning [PDF]
Este artículo es una propuesta para la enseñanza/aprendizaje de algunos elementos de cálculo de matrices a partir del modelado matemático. De hecho, algunas situaciones cotidianas se establecen teniendo también las matrices y sus operaciones como modelo ...
Gómez Urgellés, Joan Vicenç
core +5 more sources
Not all data are equal: Influence of data type and amount in spatial conservation prioritisation
Abstract Decisions about land use significantly influence biodiversity globally. The field of spatial conservation prioritisation explores allocation of conservation effort, including for reserve network expansion, targeting habitat restoration, or minimising ecological impacts of development.
Heini Kujala +4 more
wiley +1 more source
Bounding the Dynamics of a Chaotic‐Cancer Mathematical Model
The complexity of cancer has motivated the development of different approaches to understand the dynamics of this large group of diseases. One that may allow us to better comprehend the behavior of cancer cells, in both short‐ and long‐term, is mathematical modelling through ordinary differential equations.
Paul A. Valle +4 more
wiley +1 more source

