Sökning: "Population modeling"

Visar resultat 1 - 5 av 216 avhandlingar innehållade orden Population modeling.

1. 1. Population modeling using harpacticoid copepods : Bridging the gap between individual-level effects and protection goals of environmental risk assessment

   Författare :Elin Lundström Belleza; Magnus Breitholtz; Annemette Palmqvist; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Population modeling; Eco toxicity tests; Environmental risk assessment; Harpacticoid copepods; Applied Environmental Science; tillämpad miljövetenskap;

   Sammanfattning : To protect the environment from contaminants, environmental risk assessment (ERA) evaluates the risk of adverse effects to populations, communities and ecosystems. Environmental management decisions rely on ERAs, which commonly are based on a few endpoints at the individual organism level. LÄS MER

3. 2. Home, Job and Space : Mapping and Modeling the Labor Market

   Författare :John Östh; Bo Malmberg; Lena Magnusson; Stewart Fotheringham; Uppsala universitet; []
   Nyckelord :Social and economic geography; GIS; ELMO; Estimated Labor Market Outcome; Estimated Labour Market Outcome; Accessibility; Access; Job Accessibility; Place; Employment; Unemployment; Labour; Labor; Labor Market; Labour Market; Topology; Local Labour Market Area; Modelling; Modeling; Spatial Modelling; Spatial Modeling; Spatial Mismatch; SMH; Mismatch; Commuting; Regionalization; Geography; Population Geography; Economic Geography; Time-geography; Space; Kulturgeografi;

   Sammanfattning : How does space affect individuals’ outcome on the labor market? And how do we measure it? Beyond the notion of the labor market as a system of supply and demand, lays a society of individuals and workplaces, whose relationships are undeniably complex. This thesis aims to shed some new light on how to investigate and analyze the complex labor market relationships from a spatial perspective. LÄS MER

4. 3. Modeling Genome Evolution : Creation, Change and Destruction

   Författare :Mats Pettersson; Otto Berg; Paul Sniegowski; Uppsala universitet; []
   Nyckelord :Molecular biology; Theotretical biology; Population genetics; Stochastic modeling; Genome evolution; Molekylärbiologi;

   Sammanfattning : Historically, evolution has been studied either by looking at morphological traits in living organisms and the fossil record, or by using bioinformatics and comparative genomics. While highly useful for deducing evolutionary history, these approaches are not particularly well suited for studying the mechanisms of evolution. LÄS MER

5. 4. Physiologically based pharmacokinetic modeling in risk assessment - Development of Bayesian population methods

   Författare :Fredrik Jonsson; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmaceutical biosciences; methyl chloride; dichloromethane; toluene; styrene; uncertainty; intra- individual variability; risk assessment; physiologically based modeling; Markov chain Monte Carlo; PBPK; Bayesian; population modeling; Farmaceutisk biovetenskap; Biopharmacy; Biofarmaci; Biopharmaceutics; biofarmaci;

   Sammanfattning : In risk assessment of risk chemicals, variability in susceptibility in the population is an important aspect. The health hazard of a pollutant is related to the internal exposure to the chemical, i.e. the target dose, rather than the external exposure. LÄS MER

7. 5. Population Pharmacodynamic Modeling and Methods for D2-receptor Antagonists

   Författare :Klas Petersson; Lena Friberg; Mats Karlsson; An Vermeulen; Robert Bies; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; population modeling; schizophrenia; D2-antagonists; pharmacodynamics; drug development;

   Sammanfattning : Early predictions of a potential drug candidate’s time-course of effect and side-effects, based on models describing drug concentrations, drug effects and disease progression, would be valuable to make drug development more efficient. Pharmacodynamic modeling can incorporate and propagate prior knowledge and be used for simulations of different scenarios. LÄS MER