scholarly journals A Cellular Automata Model of the Relationship between Adverse Events and Regional Infrastructure Development in an Active War Theater

Technologies ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 54
Author(s):  
Bozkurt ◽  
Karwowski ◽  
Çakıt ◽  
Ahram
Keyword(s):  
Adverse Event ◽  
Cellular Automata ◽  
Adverse Events ◽  
Decision Makers ◽  
Development Projects ◽  
Infrastructure Development ◽  
Complex Interactions ◽  
Proposed Model ◽  
Ca Model ◽  
Complex Formations

This study presents a cellular automata (CA) model to assist decision-makers in understanding the effects of infrastructure development projects on adverse events in an active war theater. The adverse events are caused by terrorist activities that primarily target the civilian population in countries such as Afghanistan. In the CA-based model, cells in the same neighborhood synchronously interact with one another to determine their next states, and small changes in iteration yield to complex formations of adverse event risks. The results demonstrate that the proposed model can help in the evaluation of infrastructure development projects in relation to changes in the reported adverse events, as well as in the identification of the geographical locations, times, and impacts of such developments. The results also show that infrastructure development projects have different impacts on the reported adverse events. The CA modeling approach can be used to support decision-makers in allocating infrastructure development funds to stabilize active war regions with higher adverse event risks. Such models can also improve the understanding of the complex interactions between infrastructure development projects and adverse events.

Validation of Cellular Automata Model of Dynamic Recrystallization

2015 ◽  
Vol 651-653 ◽  
pp. 581-586 ◽  
Author(s):  
Mateusz Sitko ◽  
Łukasz Madej ◽  
Maciej Pietrzyk
Keyword(s):  
Cellular Automata ◽  
Dynamic Recrystallization ◽  
Internal Variables ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
Digital Material ◽  
Ca Model ◽  
Transition Rules ◽  
Development And Validation ◽  
Neighborhood Type

Development and validation of the micro scale cellular automata (CA) model of dynamic recrystallization (DRX) were the main goals of the present paper. Major assumptions of the developed CA DRX model, which is based on the Digital Material Representation (DMR) concept, are described. Parameters like neighborhood type, state and internal variables of the proposed model and their influence on final results are presented and discussed. Particular attention was put on description of the developed transition rules used to replicate mechanisms leading to dynamic recrystallization. Finally, obtained results in the form of flow stress curves are compared with the experimental predictions.

scholarly journals DEVELOPING A CELLULAR AUTOMATA MODEL FOR SIMULATING RAINFALL-RUNOFF PROCESS (CASE STUDY: BABOL CATCHMENT)

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 697-702
Author(s):  
N. Mahdizadeh Gharakhanlou ◽  
M. S. Mesgari
Keyword(s):  
Cellular Automata ◽  
Flood Management ◽  
Decision Makers ◽  
Second Step ◽  
Management Decision ◽  
Natural Phenomena ◽  
Rainfall Runoff ◽  
Cellular Automata Model ◽  
Ca Model

Abstract. The rainfall-runoff process is one of the central aspects of hydrology. In the rainfall-runoff process, the fast accumulation of rainwater in the catchments and rivers may lead to a flood disaster. To prevent and manage such disasters, it is essential to model and simulate the runoff process. The cellular automata (CA) is a computational model that can represent and simulate complex and dynamic natural phenomena. The main objective of this research is to develop a CA model of the rainfall-runoff process and to use it for simulating and representation of the runoff in the Babol catchment. The study is carried out in two main steps. First, several data manipulation and analyses in ArcGIS 10.3 software are used to prepare the input data of the CA model. In the second step, the CA model is developed and implemented in the NetLogo 6.0.4 platform. The total amount of runoff in each cell during the year 2016 was calculated and presented as the output of the model. A map of the total generated runoff can be an important tool for flood management decision-makers and it can also be used for managing the catchment and assessing the water resources in the study area.

Time-Space Research of the Two Safety Deceleration Models

2014 ◽  
Vol 496-500 ◽  
pp. 2950-2954
Author(s):  
Wei Jun Pan ◽  
Na Lu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Original Model ◽  
Space Research ◽  
Traffic Model ◽  
Time Space ◽  
Proposed Model ◽  
Ca Model ◽  
Combined Action ◽  
Real Traffic

The SDNS cellular automata (CA) traffic model is chosen as the method to point out the fault in the original model by analyzing the condition of safety deceleration. An improved CA model is proposed in this paper through adjustment of the evolution steps and the redefinition of safe deceleration conditions. Thousands of simulations have been carried out. Comparing with SDNS model and original safety deceleration model with the proposed model in this paper, when emerging congestion, the combined action of urging and safe deceleration enabled system self-adjustment so that efficiently mitigated congestion. This proves that the stop status of the whole traffic flow has been improved, which have been observed in real traffic.

MODELING FIXED-BLOCK RAILWAY SIGNALING SYSTEM USING CELLULAR AUTOMATA MODEL

2005 ◽  
Vol 16 (11) ◽  
pp. 1793-1801 ◽  
Author(s):  
BIN NING ◽  
KE-PING LI ◽  
ZI-YOU GAO
Keyword(s):  
Cellular Automata ◽  
Time Diagram ◽  
Signaling System ◽  
Cellular Automata Model ◽  
Railway Traffic ◽  
Proposed Model ◽  
Railway System ◽  
Ca Model ◽  
Complex Phenomena ◽  
Insight Into

In this paper, we propose a new cellular automata model to simulate the railway traffic. The proposed model is based on deterministic NaSch traffic model. The signaling system adopted in this work is the three-aspect fixed-block signaling system. In order to obtain insight into the characteristic behavior of the railway signaling system, we analyze the space-time diagram of traffic flow and the trajectory of train movement etc. The simulation results demonstrate that the proposed CA model can be successfully used for the simulations of railway signaling system. Some complex phenomena observed in railway system can be reproduced.

Cellular Automata Simulation on Dynamic Recrystallization of TA16 Alloy during Hot Deformation

2016 ◽  
Vol 849 ◽  
pp. 245-250 ◽  
Author(s):  
Fei Han ◽  
Rong Quan Chen ◽  
Chun Hui Yang ◽  
Xian Min Li ◽  
Ding Chun Wang
Keyword(s):  
Cellular Automata ◽  
Dynamic Recrystallization ◽  
Microstructural Evolution ◽  
Hot Deformation ◽  
Volume Fraction ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
Ca Model ◽  
Strain Stress ◽  
Recrystallized Grain Size

Dynamic recrystallization is responsible for the properties of the final product of TA16 alloy in hot deformation. In this study, a cellular automata model with dynamic recrystallization (DRX-CA) was developed to simulate and predict the microstructural evolution of TA16 alloy during hot deformation with material constants obtained from hot compressive tests. The proposed model has a capability of tracking the deformation history and microstructural evolution. The numerical simulation results obtained by using the developed DRX-CA model were compared to those experimental data obtained for validation and accurately capture the relations among strain, stress, volume fraction recrystallization, recrystallized grain size and deformation temperature.

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database

2019 ◽  
Vol 14 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Viswam Subeesh ◽  
Eswaran Maheswari ◽  
Hemendra Singh ◽  
Thomas Elsa Beulah ◽  
Ann Mary Swaroop
Keyword(s):  
Data Mining ◽  
Adverse Event ◽  
Adverse Events ◽  
Reporting System ◽  
Adverse Event Reporting System ◽  
Adverse Event Reporting ◽  
Disproportionality Analysis ◽  
Positive Signal ◽  
Data Mining Algorithms ◽  
Mining Algorithms

Background: The signal is defined as “reported information on a possible causal relationship between an adverse event and a drug, of which the relationship is unknown or incompletely documented previously”. Objective: To detect novel adverse events of iloperidone by disproportionality analysis in FDA database of Adverse Event Reporting System (FAERS) using Data Mining Algorithms (DMAs). Methodology: The US FAERS database consists of 1028 iloperidone associated Drug Event Combinations (DECs) which were reported from 2010 Q1 to 2016 Q3. We consider DECs for disproportionality analysis only if a minimum of ten reports are present in database for the given adverse event and which were not detected earlier (in clinical trials). Two data mining algorithms, namely, Reporting Odds Ratio (ROR) and Information Component (IC) were applied retrospectively in the aforementioned time period. A value of ROR-1.96SE>1 and IC- 2SD>0 were considered as the threshold for positive signal. Results: The mean age of the patients of iloperidone associated events was found to be 44years [95% CI: 36-51], nevertheless age was not mentioned in twenty-one reports. The data mining algorithms exhibited positive signal for akathisia (ROR-1.96SE=43.15, IC-2SD=2.99), dyskinesia (21.24, 3.06), peripheral oedema (6.67,1.08), priapism (425.7,9.09) and sexual dysfunction (26.6-1.5) upon analysis as those were well above the pre-set threshold. Conclusion: Iloperidone associated five potential signals were generated by data mining in the FDA AERS database. The result requires an integration of further clinical surveillance for the quantification and validation of possible risks for the adverse events reported of iloperidone.

Adverse Effects of Natural Products: A Brief Pre-Systematic Review

2020 ◽  
Vol 01 ◽  
Author(s):  
Carla Pires ◽  
Ana Fernandes
Keyword(s):  
Systematic Review ◽  
Adverse Event ◽  
Natural Products ◽  
Adverse Events ◽  
In Vitro Study ◽  
Google Scholar ◽  
Inclusion Criteria ◽  
Exclusion Criteria ◽  
Meta Analyses

Background: Natural products are commonly used for treating health problems. These products may be associated with adverse events, which are defined as "noxious and unintended response to a medicinal product" by the European Medicine Agency. Objectives: To identify studies describing at least one adverse event (or with potential to promote an adverse event) related to the use of natural products, as well as to describe the involved product(s) and adverse event(s). Methods: A pre-systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. Keywords: "natural product(s)" and ["adverse drug reaction(s)" or "adverse effect(s)"]. Screened databases: PubMed, SciELO, DOAJ and Google Scholar. Inclusion criteria: papers describing at least one adverse event associated with the use of natural products and published between 2017 and 2019. Exclusion criteria: Repeated studies, reviews and papers written in other languages than English, Portuguese, French or Spanish. Results: 104 studies were identified (20 PubMed; 0 SciELO; 2 DOAJ; 82 Google Scholar), but only 10 were selected (4 PubMed and 6 Google Scholar): 1 in-vitro study; 2 non-clinical studies, 1 study reporting in-vitro and clinical data and 5 studies were cases reports. Globally, 997 reports of adverse drug reactions with natural products were identified, mainly non-severe cases. Conclusion: Since a limited number of studies was found, we conclude that adverse events due to natural products may be underreported, or natural products may have a good safety profile. This review contributes for assuring the safety of natural products consumers, by evaluating the knowledge/information on the potential adverse events and interactions of these products.

Uncovering the Silent Other

2017 ◽  
Author(s):  
Philipp Zehmisch
Keyword(s):  
Social Mobility ◽  
Life Histories ◽  
Historical Analysis ◽  
Racial Stereotypes ◽  
Decision Makers ◽  
Infrastructure Development ◽  
One Dimensional ◽  
Forest Clearance

Chapter 6 explores how the contracting of Ranchi labourers from Chotanagpur as successors to colonial convicts in the task of forest clearance and infrastructure development has conditioned their marginalized position in the Andaman society. Since the advent of their migration in 1918, racial stereotypes attached to their ‘aboriginality’ accompanied the Ranchis to the islands. Having been continuously exploited and discriminated against as ‘tribals’ by decision-makers and members of the Andaman society, the Ranchis remained, as a result, alienated from the lines of social mobility. A historical analysis of the Ranchis’ disenfranchisement in the first section of the chapter is followed by the presentation of three exemplary life histories of subaltern migrants in the second section. Here, the author underlines the argument that migration cannot be understood as a one-dimensional process of exploitation, but that the voices and perspectives of subalterns as silenced agents of history must be considered.

A GIS-Based Irregular Cellular Automata Model of Land-Use Change

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Data ◽  
Cellular Automata Model ◽  
Population Growth Rates ◽  
Asynchronous Development ◽  
Canadian City ◽  
Ca Model ◽  
Developing Area

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.

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