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Pinus spp. somatic embryo conversion under high temperature: effect on the morphological and physiological characteristics of plantlets
(MDPI, 2020)
info:eu-repo/semantics/article,
Climatic variations in the current environmental scenario require plants with tolerance to sudden changes in temperature and a decrease in water availability. Accordingly, this tolerance will enable successful plantations ...
Tailoring the structural and magnetic properties of Co-Zn nanosized ferrites for hyperthermia applications
(Elsevier, 2018)
info:eu-repo/semantics/article,
A comparative study of the magnetic properties (magnetic moment, magnetocrystalline anisotropy) and hyperthermia response in Co-Zn spinel nanoparticles is presented. The CoxZn1-xFe2O4 nanoparticles (x = 1, 0.5, 0.4, 0.3, ...
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
(SAGE Publications, 2021)
Artículo / Artikulua,
Assessing associations between a response of interest and a set of covariates in spatial areal models is the leitmotiv of ecological regression. However, the presence of spatially correlated random effects can mask or even ...
Checking unimodality using isotonic regression: an application to breast cancer mortality rates
(Springer, 2016)
info:eu-repo/semantics/article,
In some diseases it is well-known that a unimodal mortality pattern exists. A clear example in developed countries is breast cancer, where mortality increased sharply until the nineties and then decreased. This clear ...
On the performances of trend and change-point detection methods for remote sensing data
(MDPI, 2020)
info:eu-repo/semantics/article,
Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann-Kendall and Cox-Stuart ...
Locally adaptive change-point detection (LACPD) with applications to environmental changes
(Springer, 2021)
Artículo / Artikulua,
We propose an adaptive-sliding-window approach (LACPD) for the problem of change-point detection in a set of time-ordered observations. The proposed method is combined with sub-sampling techniques to compensate for the ...
Space-time interactions in bayesian disease mapping with recent tools: making things easier for practitioners
(Edward Arnold, 2022)
Artículo / Artikulua,
Spatio-temporal disease mapping studies the distribution of mortality or incidence risks in space and its evolution in time, and it usually relies on fitting hierarchical Poisson mixed models. These models are complex for ...
Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
(Springer, 2020)
info:eu-repo/semantics/article,
Multivariate models for spatial count data are currently receiving attention in disease mapping to model two or more diseases jointly. They have been thoroughly studied from a theoretical point of view, but their use in ...
Interpolation of the mean anomalies for cloud filling in land surface temperature and normalized difference vegetation index
(IEEE, 2019)
info:eu-repo/semantics/article,
When monitoring time series of remote sensing data, it is advisable to fill gaps, i.e., missing or distorted data, caused by atmospheric effects or technical failures. In this paper, a new method for filling these gaps ...
Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh
(Wiley, 2020)
info:eu-repo/semantics/article,
Crimes against women in India have been continuously increasing lately as reported by the National Crime Records Bureau. Gender-based violence has become a serious issue to such an extent that it has been catalogued as a ...