The Analysis Model of Local Joint Logistic Center Location Using Computer Simulation

2018 ◽  
Vol 33 (5) ◽  
pp. 443-460
Author(s):  
Min Taek Kwon
Author(s):  
Jéssica Dantas de Sá Tinôco ◽  
Bertha Cruz Enders ◽  
Andréa Sonenberg ◽  
Ana Luisa Brandão de Carvalho Lira

Abstract Objectives To analyze the concept of virtual clinical simulation in nursing education. Methods The Walker and Avant concept analysis model guided the study process and the data collection followed the integrative literature review method. Databases searched were: CINAHL, PubMed, Education Resources Information Center, and Scopus. Search terms and Boolean operators were: e-simulation OR virtual clinical simulation OR computer-simulation OR computer simulation OR virtual gaming OR virtual reality AND nursing education OR nursing. The sample comprised 45 studies. Results Virtual clinical simulation in nursing education was defined as the innovative teaching and learning technological strategy that provides immersive self-regulated training of nursing practice, reproducing real-life experiences and feedback in a virtual environment that is safe, interactive, dynamic and enjoyable. Conclusions Clarification of this concept contributes to the development of a standardized terminology to include in the nursing nomenclature system and its dissemination for the construction of nursing science.


2014 ◽  
Vol 539 ◽  
pp. 679-683
Author(s):  
Yu Ying Zheng

As the basis industry of the national economy electric power enterprise is shouldering significant social responsibility in the process of operation, also needs to face the operational risk generated by enterprise competition under the conditions of market economy. How to scientifically and efficiently manage the financial risks of power enterprises is one of the hot issues that are urgent needed to resolve in the current field. In this paper, on the basis of previous studies, firstly has combined with the structure characteristics of the fuzzy neural network model. Then it builds prediction analysis model of financial risks according to the fuzzy neural network structure. And it sets the selection of the number of neuron for the hidden layer based on the financial risks' characteristics of electric power enterprise. At last, it combines with 12 financial indicators data of electric power enterprise finance to make further computer simulation, so as to verify the scientificity of the model. And the results show that the model has strong reliability and a strong practical value.


Author(s):  
Kiyomichi Nakai ◽  
Yusuke Isobe ◽  
Chiken Kinoshita ◽  
Kazutoshi Shinohara

Induced spinodal decomposition under electron irradiation in a Ni-Au alloy has been investigated with respect to its basic mechanism and confirmed to be caused by the relaxation of coherent strain associated with modulated structure. Modulation of white-dots on structure images of modulated structure due to high-resolution electron microscopy is reduced with irradiation. In this paper the atom arrangement of the modulated structure is confirmed with computer simulation on the structure images, and the relaxation of the coherent strain is concluded to be due to the reduction of phase-modulation.Structure images of three-dimensional modulated structure along <100> were taken with the JEM-4000EX high-resolution electron microscope at the HVEM Laboratory, Kyushu University. The transmitted beam and four 200 reflections with their satellites from the modulated structure in an fee Ni-30.0at%Au alloy under illumination of 400keV electrons were used for the structure images under a condition of the spherical aberration constant of the objective lens, Cs = 1mm, the divergence of the beam, α = 3 × 10-4 rad, underfocus, Δf ≃ -50nm and specimen thickness, t ≃ 15nm. The CIHRTEM code was used for the simulation of the structure image.


2019 ◽  
Vol 3 (6) ◽  
pp. 723-729
Author(s):  
Roslyn Gleadow ◽  
Jim Hanan ◽  
Alan Dorin

Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduction of agricultural monocultures, and the destruction of insect native habitat, are all potential contributors to this grave situation. Some researchers are working towards a future where natural insect pollinators might be replaced with free-flying robotic bees, an ecologically problematic proposal. We argue instead that creating environments that are friendly to bees and exploring the use of other species for pollination and bio-control, particularly in non-European countries, are more ecologically sound approaches. The computer simulation of insect-plant interactions is a far more measured application of technology that may assist in managing, or averting, ‘Insect Armageddon' from both practical and ethical viewpoints.


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