Search results for "logistic growth"

showing 4 items of 4 documents

Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions

2021

Abstract We introduce an extended generalised logistic growth model for discrete outcomes, in which spatial and temporal dependence are dealt with the specification of a network structure within an Auto-Regressive approach. A major challenge concerns the specification of the network structure, crucial to consistently estimate the canonical parameters of the generalised logistic curve, e.g. peak time and height. We compared a network based on geographic proximity and one built on historical data of transport exchanges between regions. Parameters are estimated under the Bayesian framework, using Stan probabilistic programming language. The proposed approach is motivated by the analysis of bot…

Statistics and ProbabilityCoronavirus disease 2019 (COVID-19)Computer scienceNetwork structureGeographic proximityCOVID-19COVID-19; conditional auto-regressive; Stan; generalised logistic growthManagement Monitoring Policy and LawConditional Auto-RegressiveCOVID-19 Conditional Auto-Regressive Stan generalised logistic growthStanEconometricsIndependence (mathematical logic)Bayesian frameworkComputers in Earth SciencesLogistic functionProbabilistic programming languageSettore SECS-S/01 - StatisticaSettore SECS-S/01generalised logistic growth
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Co-evolution between Trust in Teachers and Higher Education Enabled by ICT Advancement – A Suggestion to ICT Growing Economies

2016

In light of the increasing significance of trust-based higher education towards digitally-rich learning environments, co-evolution dynamism between trust in teachers and higher education enabled by ICT advancement was analyzed. Using the rate of trust in teachers for good education in the Global Teacher Status Index, together with statistics on higher education level and ICT advancement, an empirical numerical analysis of 20 countries was attempted. It was identified that while ICT advanced countries have constructed a co-evolution between ICT, higher education and trust, ICT growing countries have not succeeded due to a vicious cycle between ICT and trust. Finland’s educational success can…

ta113Index (economics)Knowledge managementHigher educationbusiness.industrysulautuva opetusblended learningPublic relationseducational productivity paradoxlogistic growthBlended learningtrust in teachersInformation and Communications TechnologyPolitical scienceProductivity paradoxComputingMilieux_COMPUTERSANDEDUCATIONta516pedagogical loveDynamismDisengagement theorybusinessJournal of Technology Management for Growing Economies
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Growth patterns and life-history strategies in Placodontia (Diapsida: Sauropterygia)

2015

Placodontia is a clade of durophagous, near shore marine reptiles from Triassic sediments of modern-day Europe, Middle East and China. Although much is known about their primary anatomy and palaeoecology, relatively little has been published regarding their life history, i.e. ageing, maturation and growth. Here, growth records derived from long bone histological data of placodont individuals are described and modelled to assess placodont growth and life-history strategies. Growth modelling methods are used to confirm traits documented in the growth record (age at onset of sexual maturity, age when asymptotic length was achieved, age at death, maximum longevity) and also to estimate undocum…

0106 biological sciences010506 paleontology1005non-annual rest linesmedia_common.quotation_subjectlogistic growth modelvon bertalanffy growth modelZoologygrowth record10125 Paleontological Institute and Museum010603 evolutionary biology01 natural sciencesLife history theorygrowth marksSexual maturityPlacodontlcsh:Science0105 earth and related environmental sciencesmedia_common1000 MultidisciplinaryMultidisciplinarybiologyEcologyLongevityBiology (Whole Organism)biology.organism_classification144SauropterygiaSexual dimorphismTaxon560 Fossils & prehistoric lifePaleoecologylcsh:QResearch ArticleRoyal Society Open Science
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Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery

2021

Laparoscopy is an operation carried out in the abdomen or pelvis through small incisions with external visual control by a camera. This technique needs the abdomen to be insufflated with carbon dioxide to obtain a working space for surgical instruments' manipulation. Identifying the critical point at which insufflation should be limited is crucial to maximizing surgical working space and minimizing injurious effects. Bayesian nonlinear growth mixed-effects models are applied to data coming from a repeated measures design. This study allows to assess the relationship between the insufflation pressure and the intra--abdominal volume.

Random effectsFOS: Computer and information sciencesintra-abdominal pressureMarkov chain62P10 62F25Monte Carlo methodsApplications (stat.AP)Statistics - ApplicationsLogistic growth function
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