Results 151 to 160 of about 27,601,135 (361)
Spatial Components in Disease Modelling
, 2010 Modelling of infectious diseases could help gain further understanding of their diffusion processes that provide knowledge on the detection of epidemics and decision making for future infection control measures. Conventional disease transmission models are inadequate in considering the diverse nature of a society and its location-specific factors.
Lai, PC, Kwong, KH
openaire +2 more sources
Income, distance and spatial effects in the Monocentric model. The Barcelona Metropolitan Area case. [PDF]
This paper focuses on the income distribution of households in Barcelona Metropolitan Area. For this purpose we use the Monocentric model. As the basic model does not have direct implications for this distribution, we survey the extensions of the model ...
Joan Carles Martori +2 more
core
Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
The Spatial Agent-based Competition Model (SpAbCoM) [PDF]
The paper presents a detailed documentation of the underlying concepts and methods of the Spatial Agent-based Competition Model (SpAbCoM). For instance, SpAbCoM is used to study firms' choices of spatial pricing policy (GRAUBNER et al., 2011a) or pricing
Graupner, Marten
core
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model
, 2020 Spatial prediction is commonly achieved under the assumption of a Gaussian random field (GRF) by obtaining maximum likelihood estimates of parameters, and then using the kriging equations to arrive at predicted values.
Pazdernik, Karl, Maitra, Ranjan
core
Molecular Oncology, EarlyView.Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
A Bayesian Prediction Spatial Model for Confirmed Dengue Cases in the State of Chiapas, Mexico. [PDF]
J Trop Med, 2022 Solís-Navarro M +3 more
europepmc +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
A spatial model of the plant circadian clock reveals design principles for coordinated timing. [PDF]
Mol Syst Biol, 2022 Greenwood M, Tokuda IT, Locke JCW.
europepmc +1 more source