MODELING STRESS-DEFORMED CONDITION OF ELECTIC RAILWAY CONTACT NETWORK SUPPORT CONSOLE

The article compares the results of calculation of the finite element simulation of current and temperature distribution in the scale model of the DC catenary with the data of laboratory tests. Researches were carried on various versions of the structural design of catenary model, reflecting the topological features of the wire connection, characteristic of the DC contact network. The proportions of the cross-sectional area of the scaled model wires are comparable to each other with the corresponding values for real DC catenary. The article deals with the operating conditions of the catenary model in the modes of transit and current collection. When studying the operation of the scale catenary model in the transit mode, the effect of the structural elements on the current distribution and heating of the wires was obtained. Within the framework of the scale model, theoretical assumptions about the current overload of the supporting cable near the middle anchoring have been confirmed. In the current collection mode, the experimental dependences of the current in the transverse wires of the scale model are obtained from the coordinate of the current collection point. Using the model it was experimentally confirmed that in the section of the contact wire with local wear, not only the temperature rise occurs but also the current redistribution due to the smaller cross section. Thus, the current share in other longitudinal wires of the scale model increases and their temperature rises. Scale and mathematical models are constructed with allowance for laboratory clamps and supporting elements that participate in the removal of heat from the investigated wires. Obtained study results of the scale model allow to draw a conclusion about the adequacy of the mathematical model and its correspondence to the real physical process. These conclusions indicate the possibility of applying mathematical model for calculating real catenary, taking into account the uneven contact wear wire and the armature of the contact network.

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External sources promoting resilience in adults with intellectual disabilities: A systematic literature review

Journal of Intellectual Disabilities ◽

10.1177/1744629520961942 ◽

2020 ◽

pp. 174462952096194 ◽

Cited By ~ 1

Author(s):

Femke Scheffers ◽

Xavier Moonen ◽

Eveline van Vugt

Keyword(s):

Social Network ◽

Literature Review ◽

Intellectual Disabilities ◽

Positive Emotions ◽

Network Support ◽

Increased Risk ◽

The Social ◽

The Face ◽

External Sources ◽

Adults With Intellectual Disabilities

Background: Persons with an intellectual disability are at increased risk of experiencing adversities. The current study aims at providing an overview of the research on how resilience in adults with intellectual disabilities, in the face of adversity, is supported by sources in their social network. Method: A literature review was conducted in the databases Psycinfo and Web of Science. To evaluate the quality of the included studies, the Mixed Method Appraisal Tool (MMAT) was used. Results: The themes: “ positive emotions,” “ network acceptance,” “ sense of coherence” and “ network support,” were identified as sources of resilience in the social network of the adults with intellectual disabilities. Conclusion: The current review showed that research addressing sources of resilience among persons with intellectual disabilities is scarce. In this first overview, four sources of resilience in the social network of people with intellectual disabilities were identified that interact and possibly strengthen each other.

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Predictors of free-roaming domestic dogs' contact network centrality and their relevance for rabies control

Scientific Reports ◽

10.1038/s41598-021-92308-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Charlotte Warembourg ◽

Guillaume Fournié ◽

Mahamat Fayiz Abakar ◽

Danilo Alvarez ◽

Monica Berger-González ◽

...

Keyword(s):

Disease Transmission ◽

Small World ◽

Domestic Dogs ◽

Contact Network ◽

Potential Contribution ◽

Dog Ownership ◽

Contact Patterns ◽

Rabies Control ◽

The Social ◽

Study Sites

AbstractFree roaming domestic dogs (FRDD) are the main vectors for rabies transmission to humans worldwide. To eradicate rabies from a dog population, current recommendations focus on random vaccination with at least 70% coverage. Studies suggest that targeting high-risk subpopulations could reduce the required vaccination coverage, and increase the likelihood of success of elimination campaigns. The centrality of a dog in a contact network can be used as a measure of its potential contribution to disease transmission. Our objectives were to investigate social networks of FRDD in eleven study sites in Chad, Guatemala, Indonesia and Uganda, and to identify characteristics of dogs, and their owners, associated with their centrality in the networks. In all study sites, networks had small-world properties and right-skewed degree distributions, suggesting that vaccinating highly connected dogs would be more effective than random vaccination. Dogs were more connected in rural than urban settings, and the likelihood of contacts was negatively correlated with the distance between dogs’ households. While heterogeneity in dog's connectedness was observed in all networks, factors predicting centrality and likelihood of contacts varied across networks and countries. We therefore hypothesize that the investigated dog and owner characteristics resulted in different contact patterns depending on the social, cultural and economic context. We suggest to invest into understanding of the sociocultural structures impacting dog ownership and thus driving dog ecology, a requirement to assess the potential of targeted vaccination in dog populations.

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Atomic Iridium Species Anchored on Porous Carbon Network Support: An Outstanding Electrocatalyst for CO2 Conversion to CO

Applied Catalysis B Environmental ◽

10.1016/j.apcatb.2021.120173 ◽

2021 ◽

pp. 120173

Author(s):

Hyunsu Han ◽

Song Jin ◽

Seongmin Park ◽

Min Ho Seo ◽

Won Bae Kim

Keyword(s):

Porous Carbon ◽

Co2 Conversion ◽

Network Support ◽

Carbon Network

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Is It Possible to Forecast the Price of Bitcoin?

Forecasting ◽

10.3390/forecast3020024 ◽

2021 ◽

Vol 3 (2) ◽

pp. 377-420

Author(s):

Julien Chevallier ◽

Dominique Guégan ◽

Stéphane Goutte

Keyword(s):

Data Analytics ◽

Daily Variation ◽

A Priori ◽

Machine Learning Algorithms ◽

Support Vector ◽

Market Growth ◽

Network Support ◽

Market Participants ◽

Nearest Neighbours ◽

Stationary Behavior

This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, k-Nearest Neighbours, AdaBoost, Ridge regression), without deciding a priori which one is the ‘best’ model. The main contribution is to use these data analytics techniques with great caution in the parameterization, instead of classical parametric modelings (AR), to disentangle the non-stationary behavior of the data. As soon as Bitcoin is also used for diversification in portfolios, we need to investigate its interactions with stocks, bonds, foreign exchange, and commodities. We identify that other cryptocurrencies convey enough information to explain the daily variation of Bitcoin’s spot and futures prices. Forecasting results point to the segmentation of Bitcoin concerning alternative assets. Finally, trading strategies are implemented.

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Two-Way Contact Network Modeling for Identifying the Route of COVID-19 Community Transmission

Informatics ◽

10.3390/informatics8020022 ◽

2021 ◽

Vol 8 (2) ◽

pp. 22

Author(s):

Sung Jin Lee ◽

Sang Eun Lee ◽

Ji-On Kim ◽

Gi Bum Kim

Keyword(s):

Simulated Data ◽

Contact Network ◽

Transmission Route ◽

Time Step ◽

Source Of Infection ◽

Health Authorities ◽

Control And Prevention ◽

Community Transmission ◽

Centrality Analysis ◽

Selection Of

In this study, we address the problem originated from the fact that “The Corona 19 Epidemiological Research Support System,” developed by the Korea Centers for Disease Control and Prevention, is limited to analyzing the Global Positioning System (GPS) information of the confirmed COVID-19 cases alone. Consequently, we study a method that the authority predicts the transmission route of COVID-19 between visitors in the community from a spatiotemporal perspective. This method models a contact network around the first confirmed case, allowing the health authorities to conduct tests on visitors after an outbreak of COVID-19 in the community. After securing the GPS data of community visitors, it traces back to the past from the time the first confirmed case occurred and creates contact clusters at each time step. This is different from other researches that focus on identifying the movement paths of confirmed patients by forward tracing. The proposed method creates the contact network by assigning weights to each contact cluster based on the degree of proximity between contacts. Identifying the source of infection in the contact network can make us predict the transmission route between the first confirmed case and the source of infection and classify the contacts on the transmission route. In this experiment, we used 64,073 simulated data for 100 people and extracted the transmission route and a top 10 list for centrality analysis. The contacts on the route path can be quickly designated as a priority for COVID-19 testing. In addition, it is possible for the authority to extract the subjects with high influence from the centrality theory and use them for additional COVID-19 epidemic investigation that requires urgency. This model is expected to be used in the epidemic investigation requiring the quick selection of close contacts.

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