scholarly journals Geodetic evaluation of terrain surface subsidence around mine shifts of KWK Bogdanka in 1976-1983

2013 ◽  
Vol 12 (3) ◽  
pp. 075-082
Author(s):  
Witold Borowski ◽  
Jacek Zyga
Keyword(s):  
Dynamic Model ◽  
Process Parameters ◽  
Land Subsidence ◽  
Rural Areas ◽  
Deformation Process ◽  
Dynamic Network ◽  
Surface Subsidence ◽  
Rock Deformation ◽  
Dynamic Network Model ◽  
Measuring Network

An attempt to apply a measuring dynamic network model into land subsidence process evaluation is described in the presented essay. The surface subsidence process, occurring on rural areas around KWK Bogdanka, is suspected to be consequent upon orogen drainage, related to drilling of mining shafts. The elaboration of archival measuring data with the use of a dynamic model of measuring network enabled to extend the interpretation extension of the interpretation of the observed settlements process for potential drainage process parameters, affecting a specific rock deformation process.

scholarly journals Forecasting based on Bayesian type models

2015 ◽  
Vol 15 (3) ◽  
pp. 6570-6584
Author(s):  
Peter Bidyuk ◽  
Aleksander Peter Gozhjy ◽  
Alexandr T Rofymchuk
Keyword(s):  
Logistic Regression ◽  
Data Analysis ◽  
Dynamic Model ◽  
Network Model ◽  
Probabilistic Models ◽  
Statistical Data ◽  
Dynamic Network ◽  
Bayesian Data Analysis ◽  
Dynamic Network Model ◽  
Analysis Models

A review of some Bayesian data analysis models is proposed, namely the models with one and several parameters. A methodology is developed for probabilistic models construction in the form of Bayesian networks using statistical data and expert estimates. The methodology provides a possibility for constructing high adequacy probabilistic models for solving the problems of classification and forecasting. An integrated dynamic network model is proposed that is based on combination of probabilistic and regression approaches; the model is distinguished with a possibility for multistep forecasts estimation. The forecast estimates computed with the dynamic model are compared with the results achieved with logistic regression combined with multiple regression. The best results were achieved in this case with the combined dynamic net model. 

The dynamic nature of depression: a new micro-level perspective of mental disorder that meets current challenges

2013 ◽  
Vol 44 (7) ◽  
pp. 1349-1360 ◽  
Author(s):  
M. Wichers
Keyword(s):  
Dynamic Network ◽  
Building Blocks ◽  
Major Depressive ◽  
Dynamic Network Model ◽  
Healthy State ◽  
Behavioural Patterns ◽  
Micro Level ◽  
Continuous Dynamic ◽  
Dynamic Interplay ◽  
Over Time

The examination of moment-to-moment, ‘micro-level’ patterns of experience and behaviour using experience sampling methodology has contributed to our understanding of the ‘macro-level’ development of full-blown symptoms and disorders. This paper argues that the micro-level perspective can be used to identify the smallest building blocks underlying the onset and course of mental ill-health. Psychopathology may be the result of the continuous dynamic interplay between micro-level moment-to-moment experiences and behavioural patterns over time. Reinforcing loops between momentary states may alter the course of mental health towards either a more or less healthy state. An example with observed data, from a population of individuals with depressive symptoms, supports the validity of a dynamic network model of psychopathology and shows that together and over time, this continuous interplay between momentary states may result in the cluster of symptoms we call major depressive disorder. This approach may help conceptualize the nature of mental disorders, and generate individualized insights useful for diagnosis and treatment in psychiatry.

Dynamic Network Model Analysis Based on Communication Network

2014 ◽  
Vol 989-994 ◽  
pp. 2639-2642
Author(s):  
Nan Qi Yuan ◽  
Tian Jiang ◽  
Shi Bai ◽  
Hao Sun ◽  
Jing Mei Zhao
Keyword(s):  
Communication Network ◽  
Convergence Rate ◽  
Network Model ◽  
Dynamic Network ◽  
Model Analysis ◽  
Vicsek Model ◽  
Dynamic Network Model ◽  
Weighted Model

In order to research dynamic network astringency reaching uniformity, this paper perfects the Vicsek model and puts forward improving dynamic network astringency efficiency by weighted model. We prove that the convergence rate of weighted model is faster than the classic Vicsek model and it can optimize dynamic network.

Deterring the development and use of nuclear weapons: a multi-level modeling approach

2017 ◽  
Vol 15 (4) ◽  
pp. 483-493
Author(s):  
Kathleen M Carley ◽  
Geoffrey P Morgan ◽  
Michael J Lanham
Keyword(s):  
Nuclear Weapons ◽  
Dynamic Network ◽  
Pacific Rim ◽  
Country Level ◽  
Dynamic Network Model ◽  
The Pacific ◽  
Stakeholder Model ◽  
Using Data ◽  
Multi Stakeholder ◽  
The Impact

We describe a multi-country, multi-stakeholder model for the accrual and use of nuclear weapons and illustrate the model’s value for addressing nuclear weapon proliferation issues using a historic Pacific Rim scenario. We instantiate the agent-based dynamic network model for information and belief diffusion using data from subject matter experts and data mined from open source news documents. We present the techniques that supported model instantiation. A key feature of this model and these techniques is enabling rapid model re-use through the ability to instantiate at two levels: generically and for specific cases. We demonstrate these generic and specific cases using a scenario regarding North Korea’s interest in nuclear weapons and the resulting impact on the Pacific Rim circa 2014, that is, prior to the fourth and fifth nuclear weapons tests by the Democratic People’s Republic of Korea. A key feature of this model is that it uses two levels of network interaction, the country level and the stakeholder level, thus supporting the inclusion of non-state actors and the assessment of complex scenarios. Using this model, we conducted virtual experiments in which we assessed the impact of alternative courses of action on the overall force posture and desire to develop and use nuclear weapons.

scholarly journals SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

2021 ◽  
Vol 235 ◽  
pp. 03035
Author(s):  
jiaojiao Lv ◽  
yingsi Zhao
Keyword(s):  
Network Model ◽  
Purchase Intention ◽  
Recommendation System ◽  
Optimal Algorithm ◽  
Dynamic Network ◽  
Distribution Model ◽  
Recommendation Algorithm ◽  
Model Based ◽  
Dynamic Network Model ◽  
Recommendation Algorithms

Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the core problem of “matching of product classification and recommendation algorithm of users’ purchase demand”. Three hypotheses are proposed: (1) inherent attributes of the product directly affect user demand; (2) classified product is suitable for different recommendation algorithms; (3) recommendation algorithm integration can achieve personalized customization. Based on empirical research on the relationship between characteristics of recommendation information (independent variable) and purchase intention (dependent variable), it is concluded that predictability and difference of recommendation information are not fully perceived and stimulation is insufficient. Therefore, SIS dynamic network model based on the distribution model of SIS virus is constructed. It discusses the spreading path of recommendation information and “infection” situation of consumers to enhance accurate matching of recommendation system.

scholarly journals Deformation-Electromagnetic Relations in Lithospheric Activity Manifestations

2018 ◽  
Vol 62 ◽  
pp. 03002
Author(s):  
Igor Larionov ◽  
Evgeny Malkin ◽  
Vladimir Uvarov
Keyword(s):  
Deformation Process ◽  
Rock Deformation ◽  
Two Dimensional ◽  
Petrographic Composition ◽  
Dipole Radiation ◽  
Electromagnetic Processes ◽  
Laser Strain Meter ◽  
Good Relation ◽  
Natural Electromagnetic Field ◽  
Crust Deformation

It has been shown that dipole radiation of accelerated charges, described by Larmor relation, is the basis of the known mechanic-electromagnetic processes of rock deformation. Comparison of crust deformation acceleration with natural electromagnetic field parameters of ELF-VLF range showed good relation. It manifests in the maxima of occurrence frequency density of synchronous deformation-electromagnetic events on two dimensional histograms. The data of a laser strain-meter and a recorder of natural electromagnetic radiation of ELF-VLF range, recorded in a zone of increased seismic activity (Kamchatka, Karymshina site), were used. The authors made an assumption on the existence of stationary regions of deformation process and mechanic-electromagnetic transformations corresponding to regions with different mechanic properties and rock petrographic composition.

scholarly journals Oscillating epidemics in a dynamic network model: stochastic and mean-field analysis

2015 ◽  
Vol 72 (5) ◽  
pp. 1153-1176 ◽  
Author(s):  
András Szabó-Solticzky ◽  
Luc Berthouze ◽  
Istvan Z. Kiss ◽  
Péter L. Simon
Keyword(s):  
Network Model ◽  
Mean Field ◽  
Dynamic Network ◽  
Field Analysis ◽  
Dynamic Network Model
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