Search results for "model."
showing 10 items of 23664 documents
A person-oriented approach to diary data. Children’s temperamental negative emotionality increases susceptibility to emotion transmission in father-c…
2015
The notion that some individuals are more prone to emotion transmission than others has prompted the need for a person-oriented approach to emotion transmission in parent-child dyads. The present study applied a person-oriented analysis to examine the patterns of emotion transmission that can be identified in the diary data of father-child dyads, and the extent to which children with high levels of temperamental negative emotionality are particularly susceptible to emotion transmission within the family. Mothers of 149 first grade children (age 6 to 7) completed questionnaires concerning their child’s temperament. Mothers and fathers maintained diary questionnaires (for a total of 7 days) c…
Rēķināšanas sarežģītības samazināšana ar nejaušību lietošanu
2016
Maģistra darbs „Rēķināšanas sarežģītības samazināšana ar nejaušības lietošanu” iekļauj pētījumu par varbūtisko pieeju rēķināšanas sarežģītības samazināšanai un apskata divus uzdevumus, proti, mulitilneāru polinomu ģenerēšanu un dārza šļūteņu modeļa izveidi, kuriem autore ir veikusi esošo risinājumu izpēti un izstrādājusi savus risinājumu algoritmus. Multilineāru polinomu ģenerēšanas problēmai, kurā tiek ģenerēti polinomi, kura atbilstu Būla funkcijai, ir veikta multilineāro polinomu izpēte, lai noteiktu to īpašības, kuras tiek izmantotas autores izstrādātajā polinomu ģenerēšanas varbūtiskajā algoritmā. Dārza šļūteņu (Garden - Hose) modeļa problēmai, kura ir salīdzinoši jauna (2013. gadā def…
Multimodal fruition of 3D virtual environment for Cultural Heritage sites
2008
How to define deviance residuals in multinomial regression.
2015
This work is devoted to the study of diagnostic tools for categorical data models with an emphasis on the presence of continuous covariates. In particular, the aim is to define a new class of residuals from the parametric multinomial family of models and to study their asymptotics properties. In logistic regression (as in generalized linear models), there are a few different kinds of residuals; we propose a generalization of deviance residuals as defined in logistic regression to the multinomial case and propose their use in order to identify inadequacies in a multinomial model.
Conditional predictive inference for online surveillance of spatial disease incidence
2011
This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…
Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model
2022
Information and Communication Technologies (ICTs) have become a key factor in the educational context, especially in the aftermath of the COVID-19 pandemic, and, correctly implemented, can help to improve academic performance. The aim of this research was to analyse the factors that influence teachers’ decisions to use ICT more- or less frequently to carry out tasks and exercises in their classes. To this end, we estimated a multilevel logistic model with census data from the individualized evaluation of students of the Community of Madrid (Spain) carried out at the end of the 2018–2019 academic year in primary and secondary education. Additionally, we applied multiple imputation techniques…
Preclinical models for prediction of immunotherapy outcomes and immune evasion mechanisms in genetically heterogeneous multiple myeloma
2023
AbstractThe historical lack of preclinical models reflecting the genetic heterogeneity of multiple myeloma (MM) hampers the advance of therapeutic discoveries. To circumvent this limitation, we screened mice engineered to carry eight MM lesions (NF-κB, KRAS, MYC, TP53, BCL2, cyclin D1, MMSET/NSD2 and c-MAF) combinatorially activated in B lymphocytes following T cell-driven immunization. Fifteen genetically diverse models developed bone marrow (BM) tumors fulfilling MM pathogenesis. Integrative analyses of ∼500 mice and ∼1,000 patients revealed a common MAPK–MYC genetic pathway that accelerated time to progression from precursor states across genetically heterogeneous MM. MYC-dependent time …
Effect of the serum from multiple sclerosis patients on an in vitro model of blood-brain barrier.
2008
Multiple sclerosis (MS) is characterized by focal inflammatory demyelination, largely due to autoimmune responses against different components of the myelin sheet. It is also generally accepted that the pathogenesis of MS consists of inflammatory and neurodegenerative phases, where demyelination should produce partially reversible clinical deficits that can remit, due to limited remyelination, while axonal degeneration produces permanent non-remitting clinical damage. It is also assumed that nervous system inflammation is initiated by autoreactive, myelin-specific T cells that permeate the blood-brain barrier and trigger a series of events leading to tissue destruction. In addition to antib…
Highly-parallelized simulation of a pixelated LArTPC on a GPU
2023
The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The alg…