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Data from: Staffs’ and managers’ perceptions of how and when discrete event simulation modeling can be used as a decision support
负责人:
关键词:
orthopedic care;Simulation modeling;Healthcare improvement;focus group;Rheumatology;emergency care.
DOI:
doi:10.5061/dryad.5f5m7
摘要:
Objective To explore healthcare staffs’ and managers’ perceptions of how and when discrete event simulation modeling can be use
Data from: Comparing the impact of future cropland expansion on global biodiversity and carbon storage across models and scenarios
负责人:
关键词:
Land-use change;biodiversity;Carbon storage;integrated models
DOI:
doi:10.5061/dryad.sj3tx961p
摘要:
of cropland areas in response to changes in climate and food demand, although there are large uncertainties in results between models and scenarios. This study
Data from: Social role specialization promotes cooperation between parents
负责人:
关键词:
parental care;Evolution: social;Selection: sexual;Behavior: social;Coevolution;Modeling: individual based;Methods: computer simulations
DOI:
doi:10.5061/dryad.h4g74
摘要:
often specialize in providing different types of care. However, theoretical models of care often assume that 'care' is a single variable, and hence tha
Data from: Occupancy models for data with false positive and false negative errors and heterogeneity across sites and surveys
负责人:
关键词:
informative prior;imperfect detection;occupancy model;scenario;observation;phantom species;Mniotilta varia;detection probability;confirmed detection;hierarchical Bayesian model;Monte Carlo simulation
DOI:
doi:10.5061/dryad.t68v8
摘要:
performance in Monte Carlo simulations of a variety of scenarios. Our models also have the ability to improve inference by incorporating previous knowledge through informative priors
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
负责人:
关键词:
Cognitive Agent-based Computing;Multiagent System;Agent-Based Modeling;Green Computing;Computer applications;Carbon Footprint;Software Tools
DOI:
doi:10.5061/dryad.mq793
摘要:
Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network
Data from: Modelling social care provision in an agent-based framework with kinship networks
负责人:
关键词:
agent-based modelling;social care;Kinship networks
DOI:
doi:10.5061/dryad.h69t34v
摘要:
can produce similar patterns of care need and availability as is observed in the real world, despite the model containing minimal empirical data. We propose
ameterization for simulation models
负责人:
关键词:
Plant;Demography;Ecology: population;Ecology: spatial;Dispersal;Pinus uncinata;Modeling: individual based;Temperate Forest;Methods: computer simulations
DOI:
doi:10.5061/dryad.8422
摘要:
or krummholz tree lines to climate change. The method presented here can be widely applied in individual-based simulation models and will turn model
Data from: Linkage into care among newly diagnosed HIV-positive individuals tested through outreach and facility-based HIV testing models in Mbeya
负责人:
关键词:
HIV;Linkage to care;HIV testing;Facility-based HIV testing;Mobile and outreach HIV testing
DOI:
doi:10.5061/dryad.4g0vt
摘要:
ed the ratios and time variance in linkage to care using the Kaplan-Meier estimator and Log rank tests. Cox proportional hazards regression models to evaluate
Data from: Quantifying and reducing uncertainties in estimated soil CO2 fluxes with hierarchical data-model integration
负责人:
关键词:
diffusion model;soil carbon;soil respiration;2007-2011;global change experiments;soil CO2 flux
DOI:
doi:10.5061/dryad.mb605
摘要:
linear (steady state) and non-linear (non-steady state, diffusion based) models of C versus t, within in a hierarchical Bayesian framework. Data are from
Data from: Statistical inference of allopolyploid species networks in the presence of incomplete lineage sorting
负责人:
关键词:
Pachycladon;allopolyploid;Bayesian;phylogenetics;Silene;hybridization;Brassicaceae;Caryophyllaceae;network
DOI:
doi:10.5061/dryad.nn3j4
摘要:
are inferred. Here, two new models for the statistical inference of the evolutionary history of allopolyploids are evaluated using simulation

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