Search results for " modeling"
showing 10 items of 2411 documents
Modeling Heterogeneous copolymerization of fluorinated monomers in scCO2
2009
In recent years the use of supercritical carbon dioxide (scCO2) in polymer processing and reaction has emerged as a “green” alternative to replace both environmentally hazardous organic solvents and water, whose utilization involves the production of large amount of waste streams. Moreover, scCO2 is non-toxic, inexpensive, and often exhibits intense plasticizing effect on polymers. In this work, the copolymerization of fluorinated monomers in scCO2 is explored. Batch free-radical copolymerization reactions of vinylidene fluoride (VDF) and hexafluoropropylene (HFP) have been carried out at temperature of 50 C and pressure of 400 bar using DEPDC as initiator and different amounts of stabilize…
Quantum Creativity and Cognition in Humans and Robots
2022
In this research, we present a categorical framework to connect research on creativity and cognition for humans and robots, in light of the quantum paradigm. These fields and their relationships suggest a wider vision: modeling human creativity/cognition through quantum computing, and creating robots that can help us learn more about the humans themselves. We represent the human–robot comparison through functors (function generalization). Fundamental elements to understand human creativity are motivation and feedback as aesthetic pleasure. Is it possible to model it? Can the quantum paradigm help us in such an endeavor? We envisage the concept of emergence and quantum computing as decisive…
A new approach for clustering of effects in quantile regression
2017
In this paper we aim at nding similarities among the coefficients from a multivariate regression. Using a quantile regression coefficients modeling, the effect of each covariate, given a response (also multivariate) is a curve in the multidimensional space of the percentiles. Collecting all the curves, describing the effects of each covariate on each response variable, we could be able to assess if only one or more covariates have same effects on different responses.
Influence of Offline Activities and Customer Value Creation on Online Travel Community Continuance Usage Intention
2019
The purpose of this study is to empirically test a model that examines the roles of offline activities and customer value creation on tourists’ continuance use of online travel communities (OTCs). Hypotheses were tested through a sample of 251 respondents on Amazon Mechanical Turk (MTurk). SmartPLS structural equation modelling was used to test the structural model. Results indicated that offline activities significantly influence hedonic and social values, while this support was not found with functional value. Similarly, while offline activities positively influence continuance usage intention, no positive relationship was established between offline activities and recommendation intentio…
Environmental values and customer-perceived value in industrial supplier relationships
2017
This study addresses a gap in the research on supply channel management by integrating environmental values and value creation in the context of buyer-supplier relationships. This study has two objectives: (i) to explore the environmental values structure of industrial customers, and (ii) to test the effect of environmental values on overall value perceptions. The effect of customer's environmental values on the supplier's environmental image and customer-perceived value is tested with structural equation modeling using the PLS method. The empirical analysis is based on a global sample of industrial companies that have a high impact on the environment (n = 121). Key findings of this study a…
Developing and Validating a Behavioural Model of Cyberinsurance Adoption
2021
Business disruption from cyberattacks is a growing concern, yet cyberinsurance uptake remains low. Using an online behavioural economics experiment with 4800 participants across four EU countries, this study tests a predictive model of cyberinsurance adoption, incorporating elements of Protection Motivation Theory (PMT) and the Theory of Planned Behaviour (TPB) as well as factors in relation to risk propensity and price. During the experiment, participants were given the opportunity to purchase different cybersecurity measures and cyberinsurance products before performing an online task. Participants likelihood of suffering a cyberattack was dependent upon their adoption of cybersecurity me…
Time-domain effective-one-body gravitational waveforms for coalescing compact binaries with nonprecessing spins, tides and self-spin effects
2018
We present TEOBResumS, a new effective-one-body (EOB) waveform model for nonprecessing (spin-aligned) and tidally interacting compact binaries.Spin-orbit and spin-spin effects are blended together by making use of the concept of centrifugal EOB radius. The point-mass sector through merger and ringdown is informed by numerical relativity (NR) simulations of binary black holes (BBH) computed with the SpEC and BAM codes. An improved, NR-based phenomenological description of the postmerger waveform is developed.The tidal sector of TEOBResumS describes the dynamics of neutron star binaries up to merger and incorporates a resummed attractive potential motivated by recent advances in the post-Newt…
A Mobile Diary Method for Studying Children’s and Adolescents’ Emotions : A Pilot Study
2015
Researching children’s and adolescents’ emotions from their own perspectives possesses special requirements for the data collection tools used. In this study, children’s and early adolescents’ emotions were investigated using a mobile diary method. The article describes and evaluates this data collection method and presents empirical results on fluctuation in the emotions of children and adolescents (n = 60, aged 7–14 years). The data, in the form of short text messages, were collected over one week. Every evening, children received seven questions on their emotions. Multilevel modeling was used to analyze the data. The results illustrate the potential of the mobile diary method with childr…
Data-Driven Evolutionary Optimization: An Overview and Case Studies
2019
Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…
The conservation potential of brook-side key habitats in managed boreal forests
2011
Today, maintaining biodiversity is included in the targets of boreal forest management. A widespread approach in northern Europe is to identify and preserve woodland key habitats within managed forests. Woodland key habitats are expected to be patches that host populations of threatened and declining species, and the preservation of these patches is assumed to enable the persistence of the focal species in the landscape. In Finland, the criteria for selecting woodland key habitats are defined in the Finnish Forest Act, and the selection has been done by forest practitioners. Our objective was to determine whether the surroundings of boreal brooks and rivulets qualified as key habitats are t…