Search results for "model [interaction]"

Testing refined shell-model interactions in the sd shell: Coulomb excitation of 26Na

2015

Background: Shell-model calculations crucially depend on the residual interaction used to approximate the nucleon-nucleon interaction. Recent improvements to the empirical universal sd interaction (USD) describing nuclei within the sd shell yielded two new interactions—USDA and USDB—causing changes in the theoretical description of these nuclei. Purpose: Transitionmatrix elements between excited states provide an excellent probe to examine the underlying shell structure. These observables provide a stringent test for the newly derived interactions. The nucleus 26Na with 7 valence neutrons and 3 valence protons outside the doubly-magic 16O core is used as a test case. Method: A radioactive b…

Testing and implementing a new approach to estimating interregional output multipliers using input-output data for South Korean regions

2020

Flegg's location quotient (FLQ) is a useful tool for estimating intraregional output multipliers. This paper uses it as one component when estimating interregional multipliers. Using statistical information criteria and official data for 16 South Korean regions, it is found that the best approach is to combine the FLQ with a simple trade model. The paper explains how the proposed procedure can be implemented for both multiple and individual regions, and also how a region-specific value for the unknown parameter δ in the FLQ formula can be determined. Finally, an illustrative case study of one of the regions is carried out.

Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion

2020

In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thicknesses of epidermis and dermis. The aim of this study is to determine the best methods for stochastic model inversion in order to improve current methods in skin related cancer diagnostics and in the future develop a non-invasive way to measure the physical parameters of the skin based partially on the results of the study. Of the compared methods, which are convolutional neural network, multi-layer …

Commentary: Long-term Practice with Domain-Specific Task Constraints Influences Perceptual Skills.

2018

ISTehnology – integrated Approach to IS Development and Benefits of its Using

2011

The system ISTechnology and benefits of its usage are analyzed in the paper. ISTechnology provides an integrated approach to business modeling and development of information systems. The system consists of a meta-model and applications. The meta-model enables defining of a platform independent business model of the organization. The applications provide the definition and interpretation of the business model. Interpretation of the business model provides functionality of the information system in the selected platform. The lessons learned confirm that the development and maintenance cost of information systems can be significantly reduced by use of the ISTechnology. The paper describes addi…

Use of ethnic humor in modern stand-up comedy

2012

Mathematical Methods for Research Excellence : Book of Abstracts

2022

A Sub-Supersolution Approach for Robin Boundary Value Problems with Full Gradient Dependence

2020

The paper investigates a nonlinear elliptic problem with a Robin boundary condition, which exhibits a convection term with full dependence on the solution and its gradient. A sub- supersolution approach is developed for this type of problems. The main result establishes the existence of a solution enclosed in the ordered interval formed by a sub-supersolution. The result is applied to find positive solutions.

Predicting sugar consumption : Application of an integrated dual-process, dual-phase model

2017

Excess consumption of added dietary sugars is related to multiple metabolic problems and adverse health conditions. Identifying the modifiable social cognitive and motivational constructs that predict sugar consumption is important to inform behavioral interventions aimed at reducing sugar intake. We tested the efficacy of an integrated dual-process, dual-phase model derived from multiple theories to predict sugar consumption. Using a prospective design, university students (N = 90) completed initial measures of the reflective (autonomous and controlled motivation, intentions, attitudes, subjective norm, perceived behavioral control), impulsive (implicit attitudes), volitional (action and c…

Designing Dynamic Sustainable Business Models to Assess the Feasibility of an Industrial Symbiosis: The Case of the Retro-Port Area of Trieste

2023

This study evaluates the managerial sustainability of implementing a decision support system for industrial symbiosis through a recent business modeling methodology. The decision support system is intended to facilitate the identification of implementable industrial symbiosis good practices in a pilot project located in the industrial retro-port area of Trieste. To evaluate the feasibility of this project, a qualitative “Dynamic business model canvas for sustainability” was designed and supported by a system dynamics approach using causal loop diagrams. The study analyzed various governance scenarios for managing the decision support system (public, private, or public–private partnership) a…