scholarly journals The Development of Cellular Automata-based Entrepreneurial Growth Simulator

2021 ◽  
Vol 5 (1) ◽  
pp. 63
Author(s):  
Cecilia E. Nugraheni ◽  
Vania Natali

Entrepreneurship plays an essential role in the economic growth of a country. These roles include creating jobs, reducing unemployment, increasing people's income, combining production factors (nature, labor, capital, and expertise), and increasing national productivity. For the economy to thrive and healthy, it requires at least 4% of the population who work as entrepreneurs. Due to this vital role, entrepreneurial growth must be maintained. One of the efforts to do this is by monitoring growth directly and continuously. Besides that, another way is to do a simulation. By knowing the condition of entrepreneurship at one time and all the factors that affect entrepreneurial growth, simulations can be carried out to determine or predict future conditions. Based on this simulation, essential steps can be taken, or policies can be made to maintain profitable entrepreneurial growth. This paper presents a mathematical model that can simulate and visualize entrepreneurship's growth in six provinces of Sumatra Island, Indonesia. This mathematical model uses cellular automata as its basis and is called Entrepreneurial Cellular Automata (ECA). One of the advantages of Cellular Automata is that it is easy to visualize. The entrepreneurial model used as a reference is a model from the Global Entrepreneurship Monitoring (GEM). This mathematical model has been implemented in a simulator program. This paper describes the simulator development and the use of simulator to simulate and visualize the entrepreneurial growth of the six provinces.

Mathematics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 608
Author(s):  
Danielle Burton ◽  
Suzanne Lenhart ◽  
Christina J. Edholm ◽  
Benjamin Levy ◽  
Michael L. Washington ◽  
...  

The 2014–2016 West African outbreak of Ebola Virus Disease (EVD) was the largest and most deadly to date. Contact tracing, following up those who may have been infected through contact with an infected individual to prevent secondary spread, plays a vital role in controlling such outbreaks. Our aim in this work was to mechanistically represent the contact tracing process to illustrate potential areas of improvement in managing contact tracing efforts. We also explored the role contact tracing played in eventually ending the outbreak. We present a system of ordinary differential equations to model contact tracing in Sierra Leonne during the outbreak. Using data on cumulative cases and deaths, we estimate most of the parameters in our model. We include the novel features of counting the total number of people being traced and tying this directly to the number of tracers doing this work. Our work highlights the importance of incorporating changing behavior into one’s model as needed when indicated by the data and reported trends. Our results show that a larger contact tracing program would have reduced the death toll of the outbreak. Counting the total number of people being traced and including changes in behavior in our model led to better understanding of disease management.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Bin Wang ◽  
Lei Zhang ◽  
Tong Dai ◽  
Ziran Qin ◽  
Huasong Lu ◽  
...  

AbstractEmerging evidence suggests that liquid–liquid phase separation (LLPS) represents a vital and ubiquitous phenomenon underlying the formation of membraneless organelles in eukaryotic cells (also known as biomolecular condensates or droplets). Recent studies have revealed evidences that indicate that LLPS plays a vital role in human health and diseases. In this review, we describe our current understanding of LLPS and summarize its physiological functions. We further describe the role of LLPS in the development of human diseases. Additionally, we review the recently developed methods for studying LLPS. Although LLPS research is in its infancy—but is fast-growing—it is clear that LLPS plays an essential role in the development of pathophysiological conditions. This highlights the need for an overview of the recent advances in the field to translate our current knowledge regarding LLPS into therapeutic discoveries.


2021 ◽  
Vol 13 (3) ◽  
pp. 1705-1714
Author(s):  
Chusnul Muali ◽  
Moh Rofiki ◽  
Hasan Baharun ◽  
Zamroni Zamroni ◽  
Lukman Sholeh

This study aims to describe Sufistic-based Kiai leadership's role in shaping Santri character at the Pesantren Nurul Jadid Paiton Probolinggo. This research is a case study qualitative approach, with Kiai as the subject. We collected data using interview, documentation, and observation techniques, then analyzed using reduction techniques, presenting data, and drawing conclusions. The results showed that the Sufistic-based Kiai's leadership had an essential role in fostering the character of the Santri. The study results indicate that the Sufistic-based Kiai leadership has a vital role in promoting the surface of the Santri. Kiai is a person who gives influence in building character with Uswah (Modelling). This study also found that the factors that influence low morale are that Santri has a common understanding of the latest technological developments. In Sufistic-based leadership, there are four things that a leader must possess: 1) The Tawasuth, 2) The nature of I'tidal, 3) The Tawazun, and 4) The Tasamuh.


2018 ◽  
Vol 77 (12) ◽  
pp. 2761-2771
Author(s):  
Guoqiang Zheng ◽  
Kuizu Su ◽  
Shuai Zhang ◽  
Yulan Wang ◽  
Weihong Wang

Abstract Aerobic granular sludge is a kind of microbial polymer formed by self-immobilization under aerobic conditions. It has been widely studied because of its promising application in wastewater treatment. However, the granulation process of aerobic sludge is still a key factor affecting its practical application. In this paper, a three-dimensional (3D) multi-species mathematical model of aerobic granular sludge was constructed using the cellular automata (CA) theory. The growth process of aerobic granular sludge and its spatial distribution of microorganisms were studied under different conditions. The simulation results show that the aerobic granules were smaller under high shear stress and that the autotrophic bacterial content of the granular sludge interior was higher. However, the higher the dissolved oxygen concentration, the larger the size of granular sludge and the higher the content of autotrophic bacteria in the interior of the granular sludge. In addition, inhibition of toxic substances made the aerobic granule size increase more slowly, and the spatial distribution of the autotrophic bacteria and the toxic-substance-degrading bacteria were mainly located in the outer layer, with the heterotrophic bacteria mainly existing in the interior of the granular sludge.


2019 ◽  
Vol 9 (4) ◽  
pp. 66-85 ◽  
Author(s):  
Arnab Mitra

PageRank plays a vital role towards the preparation of the index for web resources. The index is processed by crawling down the relevant websites. Hence, the validation of computed PageRank is crucially significant towards the reliability enhancement of processed indexed list. On the other hand, energy efficiency and the stability of a system are crucially towards the environmental sustainability. In this regard, an energy stability-based PageRank validation model in Cellular Automata is presented in this research which facilitates a very low energy consumption by its physical components. Detailed investigations in view of energy stability explore the role of energy stability towards the validation of PageRank. Hence, an alternative approach towards the validation of PageRank using energy stability is presented in this research. Analytical results obtained with proposed approach for several Clouds further explore its potential capability as a green computing model in the Cloud.


Author(s):  
Ruslan Leonidovich Motornyuk ◽  
Stepan Mykolayovych Bilan

Methods for image identification based on the Radon transform using hexagonal-coated cellular automata in the chapter are considered. A method and a mathematical model for the detection of moving objects based on hexagonal-coated cellular automata are described. The advantages of using hexagonal coverage for detecting moving objects in the image are shown. The technique of forming Radon projections for moving regions in the image, which is designed for a hexagonal-coated cellular automata, is described. The software and hardware implementation of the developed methods are presented. Based on the obtained results, a hexagonal-coated cellular automata was developed to identify images of objects based on the Radon transform. The Radon transform allowed to effectively extract the characteristic features of images with a large percentage of noise. Experimental analysis showed the advantages of the proposed methods of image processing and identification of moving objects.


Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 988
Author(s):  
Carina Rößler ◽  
Felix Breitenecker ◽  
Martin Riegler

In this work a mathematical model and simulation for the gluing of wood particles designated for particleboards is presented. The aim is to obtain a better understanding of the gluing process. Thus, the behaviour of wood particles during gluing is investigated and the resulting adhesive distribution across the surface of the wood particles is analysed. For developing a mathematical model, the modelling methods “lattice gas cellular automata” and “random walk” were used. The model was implemented in MATLAB and different scenarios were simulated for answering the main questions of the behaviour during gluing. The influences of different parameters on the adhesive distribution were investigated and quantitatively determined by several key figures. Based on these key figures, the effects of the mixing arm, realistic size distributions of wood particles and adhesive droplets, the transfer of adhesive, and the total mass of adhesive are discussed. Furthermore the results are compared with experimental measurements. The simulation results show that the model can feasibly be used for studying the gluing of wood particles. For a possible industrial application, additional research for developing a three-dimensional model is needed.


2020 ◽  
Vol 8 (2) ◽  
pp. 183
Author(s):  
James Marcum

In this paper, an axiological analysis for the role of values in person-centered healthcare is undertaken from aesthetic, epistemic, and ethical perspectives, given the backdrop of a robust notion of personhood. To that end, personhood is first analyzed and conceptualized to provide a practical framework for situating the axiological analysis for the role of values, especially the value of human dignity, in healthcare. In terms of aesthetic values, beauty plays an essential role within person-centered healthcare, especially with respect to the value of wellbeing, and for providing a platform to analyze further both epistemic and ethical values in healthcare. With respect to epistemic values, truth - particularly in terms of the value of competence - plays a critical role in providing effective healthcare. In terms of ethical values, the good, especially with respect to the value of caring, plays a vital role in shaping how both clinicians and patients comport themselves in the clinical encounter. In a concluding section, the significance of the axiological analysis for the role of values in person-centered healthcare, in contrast to healthcare based on the biomedical model, is briefly discussed.


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