Generic model Research Papers - Academia.edu (original) (raw)

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- by Vikas Gautam
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- Industrial and Organizational Psychology, Industrial, Generic model
- by Ramon Aldag
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- Marketing, Psychology, Cognitive Science, Problem Solving
- by Ismail H. Altas
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- Information Technology, Human Factors, Fuzzy Logic, Power System

Genetic influences on personality differences are ubiquitous, but their nature is not well understood. A theoretical framework might help, and can be provided by evolutionary genetics. We assess three evolutionary genetic mechanisms that could explain genetic variance in personality differences: selective neutrality, mutation-selection balance, and balancing selection. Based on evolutionary genetic theory and empirical results from
behaviour genetics and personality psychology, we conclude that selective neutrality is largely irrelevant, that mutation-selection balance seems best at explaining genetic
variance in intelligence, and that balancing selection by environmental heterogeneity seems best at explaining genetic variance in personality traits.We propose a general model of heritable personality differences that conceptualises intelligence as fitness components
and personality traits as individual reaction norms of genotypes across environments, with different fitness consequences in different environmental niches. We also discuss the place of mental health in the model. This evolutionary genetic framework highlights the role of
gene-environment interactions in the study of personality, yields new insight into the person-situation-debate and the structure of personality, and has practical implications for
both quantitative and molecular genetic studies of personality.

- by Geoffrey Miller
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- Genetics, Psychology, Evolutionary Psychology, Intelligence
- by Towhidul Islam and +1
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- Marketing, Econometrics, Forecasting, Diffusion of Innovation
- by Sigrun Olafsdottir
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- Psychology, Attention-Deficit/Hyperactivity Disorder, Mental Health, Fear
- by Ismail H. Altas and +1
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- Information Technology, Human Factors, Fuzzy Logic, Power System
- by Visvanathan Ramesh
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- Computer Vision, Automotive Engineering, Tracking, Real Time Systems
- by John Keller
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- Instructional Design, Educational Technology, Personality, Learning Design
- by mohun ritesh
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- Environmental Engineering, Sustainable Development, Small angle X-ray and neutron scattering, Municipal Solid Waste Management
- by Yoav Bashan
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- Microbiology, Medical Microbiology, Agriculture, Canadian
- by Joe Henrich
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- Psychology, Cognitive Science, Anthropology, Culture
- by Toon Taris
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- Psychology, Stress Management, Business and Management, Cross Validation
- by Anthony Lai
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- Antennas & Radio Wave Propagation, Metamaterials, Composite Materials, Simulation
- by Cynthia Fekken
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- Marketing, Psychology, Cognitive Science, Personality
- by Towhidul Islam
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- Marketing, Econometrics, Forecasting, Diffusion of Innovation
- by vinay shende
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- Energy Policy, Carbon Sequestration, Multidisciplinary, Policy Analysis
- by Constance Hammen and +1
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- Psychology, Cognitive Science, Personality Assessment, Adolescent
- by Muhiuddin Haider
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- Communication, Health Communication, Public Health, TIME
- by Praveena Akula
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- Theory of Constraints, Multidisciplinary, Business Management, Production economics
- by Ahmed Bouridane
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- Face Recognition, Probability, Algorithm Design, Individual variation
- by Budiman Minasny
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- Parameter estimation, Biological Sciences, Environmental Sciences, Spatial Variability
- by Ali Ghaffari
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- Mechanical Engineering, Applied Mathematics, Thermodynamics, Genetic Algorithm
- by Robert Elston
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- Genetics, Mathematics, Breeding, Probability
- by Lieven Quintens
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- Marketing, Internationalization, Standardization, Business and Management
- by Juan Gómez
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- Multidisciplinary, Fracture and cohesive zone model, Inverse Analysis, Computer Program
- by J. Munoz and +2
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- Entrepreneurship, Business and Management, Entrepreneurship Management, United States
- by Patrick S . W . Fong
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- Knowledge Management, Construction Industry, Factor analysis, Project manager
- by Ivanka Prichard and +1
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- Psychology, Body dissatisfaction, Public health systems and services research, Sex Roles
- by M. Hessien and +2
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- Mechanical Engineering, Chemical Engineering, Experimental Design, Powder technology
- by Klaus Rothermund
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- Psychology, Cognitive Science, Aging, Human Development
- by Patrick Palmieri
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- Psychology, Prejudice, Job Satisfaction, Occupational Health Psychology
- by Francesco Pontarollo
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- Complementary and Alternative Medicine, Low Dose, Action, Chaotic Dynamics

Most current wildlife habitat models, such as resource selection functions, typically assume a static environment, extrapolate poorly in space and time, and often lack linkages to population processes. We submit that more mechanistic habitat models that directly consider bottom-up resources affecting growth and reproduction (i.e., food) and top-down limitations affecting survival are needed to effectively predict habitat quality, especially in

- by Greg McDermid and +3
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- Animal Behaviour, Environmental Change, Biological Sciences, Seasonality

This article presents a theory of cognitive change. The theory assumes that the fundamental causes of cognitive change reside in the architecture of the mind. Thus, the architecture of the mind as specified by the theory is described first. It is assumed that the mind is a three-level universe involving (1) a processing system that constrains processing potentials, (2) a set of specialized capacity systems that guide understanding of different reality and knowledge domains, and (3) a hypercognitive system that monitors and controls the functioning of all other systems. This article then specifies the types of changes that may occur in cognitive development (changes within the levels of mind, changes in the relations between structures across levels, changes in the efficiency of a structure) and a series of general (e.g., metarepresentation) and more specific mechanisms (e.g., bridging, interweaving, and fusion) that bring the changes about. It is argued that different types of change require different mechanisms. Finally, a general model of the nature of cognitive development is offered. The relations between the theory proposed in the article and other theories and research in cognitive development and cognitive neuroscience are discussed throughout.

- by Athanassios Raftopoulos and +1
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- Psychology, Cognitive Science, Developmental Psychology, Cognitive development
- by Mercedes Pascual
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- Structure, Modeling, Science, Ecological Niche Modeling
- by Sergio Neiro
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- Mechanical Engineering, Chemical Engineering, Supply Chain Management, Supply Chain
- by Audrey Thurm
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- Marketing, Psychology, Clinical Psychology, Cognitive Science
- by Oliver John
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- Emotion, Artificial Intelligence, Computer Vision, Machine Learning
- by José Manuel Sabucedo and +1
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- Environmental Psychology, Multidisciplinary, Categorical data analysis, Environmental Assessment
- by Ortrun Zuber-Skerritt
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- Action Research, Systems Thinking, Action Learning, Model

A new technique for deriving stand density from remotely sensed imagery is presented. First, an artificial stand generation model was developed in order to illustrate the importance of viewing direction. Then, artificially generated stands were used to develop a new directional filter technique for identifying local brightness minima and maxima. Statistics derived from the distances between consecutive maxima embracing a minimum were then investigated to establish a relationship with stand density. Once this relationship was established for artificial imagery, the new method was tested on selected study sites in Flanders, Belgium. Both IKONOS imagery and a scanned aerial photograph with a 1m spatial resolution, together with manually digitized and field inventory data were used to evaluate the new technique. It was found that the relationship derived from artificial imagery holds for real images. Also, a directional local filter yielded higher coefficients of determination (0.752 an...

- by Lieven Verbeke and +2
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- Forest Inventory, Stand Density, Spatial resolution, Coefficient of Determination
- by Shlomo Mizrahi
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- Internal Audit, Auditing, Public sector, Analytic Hierarchy Process
- by Michael Sagas
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- Psychology, Higher Education, Social Cognition, Social Capital

This paper addresses several issues related to the modeling and experimental design of relative permeabilities used for simulating gas condensate well deliverability. Based on the properties of compositional flow equations, we make use of the fact that relative permeability ratio k rg/k ro is a purely thermodynamic variable, replacing saturation, when flow is steady-state. The key relation defining steady-state flow in gas condensate wells is relative permeability k rg as a function of k rg/k ro. Consequently, determination of saturation and k r as a function of saturation is not important for this specific calculation. Once the k rg=f(k rg/k ro) relationship is experimentally established and correlated with capillary number (N c), accurate modeling of condensate blockage is possible. A generalized model is developed for relative permeability as the function of k rg/k ro and capillary number. This model enables us to link the ‘immiscible’ or ‘rock’ curves with ‘miscible’ or 'straight-line’ curves by a transition function dependent on the capillary number. This model is also extended to the case of high-rate, inertial gas flow within the steady-state condensate blockage regionand locally at the wellbore. We have paid particular attention to the effect of hysteresis on the relation k rg=f(k rg/k ro), based on our observation that many repeated cycles of partial/complete imbibition and drainage occur in the near-well region during the life of a gas condensate well. Finally, the composite effect of condensate blockage is handled using a ‘Muskat’ pseudopressure model, where relative permeabilities are corrected for the positive effect of capillary number dependence and the negative effect of inertial high velocity flow. Special steady-state experimental procedures have been developed to measure k rg as a function of k rg/k ro and N c. Saturations, though they can be measured, are not necessary. An approach for fitting steady-state gas condensate relative permeability data has been developed and used for modeling relative permeability curves.

- by Øivind Fevang
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- Chemical Engineering, Civil Engineering, Applied Mathematics, Thermodynamics
- by Gordon Lightbody and +1
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- Power Quality, Induction Generators, Energy efficiency, Controllability
- by Dirk Vandermeulen
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- Forensic Anthropology, Forensic Science, Face, Multidisciplinary

- by Øivind Fevang
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- Chemical Engineering, Civil Engineering, Applied Mathematics, Thermodynamics
- by Zhe Song and +1
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- Mechanical Engineering, Data Mining, Wind Energy, Neural Network