A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020

Personally expressed identity is who or what an individual themselves says they are, and it should be studied at scale. At scale means with data on millions of individuals, which is newly available and comes timestamped and geocoded. This work introduces a dataset for the study of identity at scale and describes the method for collecting and aggregating such data. Further, tools and theory for working with the data are presented. A demonstration analysis provides evidence that personal, individual development and changing cultural norms can be observed with these data and methods.

A Dataset for the Study of Identity at Scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio - 2015-2020

Personally expressed identity is who or what an individual themselves says they are, and it should be studied at scale. At scale means with data on millions of individuals, which is newly available and comes timestamped and geocoded. This work introduces a dataset for the study of identity at scale and describes the method for collecting and aggregating such data. Further, tools and theory for working with the data are presented. A demonstration analysis provides evidence that personal, individual development and changing cultural norms can be observed with these data and methods.

Role of COVIDsafe app and control measures in Australia in combating COVID-19 pandemic

Purpose COVID-19 (C19) has been destroying the world's health and emergency response system for almost the past year. Policymakers and health practitioners are trying their best to save the public through various policy development and initiatives in this regard. This study aims to examine the containment measures and their impacts on Australia's C19 situation in Australia's COVIDsafe app background. Design/methodology/approach This study investigates the role of the Australian Government's (AG) Health Containment (HC) and Stringency response (SR) in combating the C19 situation in Australia. The time horizon has been taken from January to October 2020 and applied Linear Regression with graphical demonstration analysis by STATA-18 version and MS Word chart features. Findings By applying linear regression and graphical demonstration, statistics revealed that AG made various policy developments during the C19 pandemic. However, due to inconsistent and unsustainable measures, the second C19 wave hit Australia much harder than the first wave. COVIDsafe app has been a vital AG in this regard; however, it did not show its progress during the second wave due to privacy issues. After the more focused and aggressive research and development measures, AG overcame the App drawbacks and controlled the situation, demonstrating 92% recovered statistics from C19. Practical implications The study concludes that AG should enforce many prudent policy measures and distinct E-government features in the COVIDsafe app and make it secure so people will use it in probable forthcoming C19 waves. Originality/value This study has examined the Government of Australia's containment measures in the background discussion of the COVIDsafe app.

MELCOR Demonstration Analysis of Accident Scenarios at a Spent Nuclear Reprocessing Plant

The work presented in this paper applies the MELCOR code developed at Sandia National Laboratories to evaluate the source terms from potential accidents in non-reactor nuclear facilities. The present approach provides an integrated source term approach that would be well-suited for uncertainty analysis and probabilistic risk assessments. MELCOR is used to predict the thermal-hydraulic conditions during fires or explosions that includes a release of radionuclides. The radionuclides are tracked throughout the facility from the initiating event to predict the time-dependent source term to the environment for subsequent dose or consequence evaluations. In this paper, we discuss the MELCOR input model development and the evaluation of the potential source terms from the dominated fire and explosion scenarios for a spent fuel nuclear reprocessing plant.

A Study on the Impact of Communication Activities on Organizational Satisfaction: Based on the Mediating Effect of Organizational Trust

This study aims to verify that the higher the communication activity, the higherthe organization's organizational satisfaction is. Some prior studies have commented on the relationship between these, there are almost no specific studies that usean organizational fairness as a controlled effect to identify the concept of communication activities and organizational trust and to verify the impact on organizational satisfaction. Methods/Statistical analysis: The study was conducted with the survey from 227 workersworking for the company. Every survey item was measured using a Likert 5-point scale.Various analyses such as demonstration analysis, technical statistical analysis, exploratory factor analysis, reliability analysis identifiable factor analysis, structural model analysis, mediated effect, andcontrol effect test were conducted with SPSS and AMOS 22.0. Findings: The findings were as follows: First, communication activities were found tohave a positive impact on organizational satisfaction. Second, communication activities were found to have a positive impact on organizational confidence. Third, organizational confidence was found to have a positive impact on organizational satisfaction. Fourth, there was a difference in the path between the organization impartiality involuntary group and voluntary group. Improvements/Applications: The findings suggest that communication activities within an organization have been identified in important prior studies, but we believe that in-depth research is needed to increase organizational fairness.

DIGITALIZATION OF DIAGRAMS FOR DETERMINING COEFFICIENTS OF WATER RESIDUAL RESISTANCE TO SHIP’S MOVEMENT

The article presents calculating the water resistance to the movement of the vessel, which is quite difficult and time-consuming task. The accuracy of solving this task directly affects the analysis of the ship propulsion. The programs of automated analysis of ship propulsion have become very popular in the shipbuilding industry; they help to increase the efficiency of solving these problems. The existing programs of digitizing graphs have been analyzed. Digitalization comprises building a graph in CAD system with further transforming the file into DFX format in the developed program. A new program for digitizing diagrams which are used in calculating water resistance to the vessel movement has been proposed. The algorithm and operation principle have been presented, as well as a distinctive feature of the developed program. The minimum system requirements for installing the program on a personal computer are indicated. The demonstration analysis of the program by input of source data for calculation and the output area of the work report were made. Based on a diagram representing the dependences of the coefficient of residual water resistance to the movement of the vessel on the overall completeness coefficient for the V-shaped bow of the vessel there is given an example of the sequence of data entry methods and getting results. There have been stated the advantages and weak points of Wizard DFX Digitizer software compared to other means of graphs digitalization. The advantages are: reduced time for graph digitalization and growing precision of the results due to application of CAD tools, ability to save digitizing results and friendly CAD system interface. The weak points are: manual digitizing process, the need to take into account certain specific features of each CAD system.