Understanding the uneven spread of COVID-19 in the context of the global interconnected economy

The worldwide spread of the COVID-19 pandemic is a complex and multivariate process differentiated across countries, and geographical distance is acceptable as a critical determinant of the uneven spreading. Although social connectivity is a defining condition for virus transmission, the network paradigm in the study of the COVID-19 spatio-temporal spread has not been used accordingly. Toward contributing to this demand, this paper uses network analysis to develop a multidimensional methodological framework for understanding the uneven (cross-country) spread of COVID-19 in the context of the globally interconnected economy. The globally interconnected system of tourism mobility is modeled as a complex network and studied within the context of a three-dimensional (3D) conceptual model composed of network connectivity, economic openness, and spatial impedance variables. The analysis reveals two main stages in the temporal spread of COVID-19, defined by the cutting-point of the 44th day from Wuhan. The first describes the outbreak in Asia and North America, the second stage in Europe, South America, and Africa, while the outbreak in Oceania intermediates. The analysis also illustrates that the average node degree exponentially decays as a function of COVID-19 emergence time. This finding implies that the highly connected nodes, in the Global Tourism Network (GTN), are disproportionally earlier infected by the pandemic than the other nodes. Moreover, countries with the same network centrality as China are early infected on average by COVID-19. The paper also finds that network interconnectedness, economic openness, and transport integration are critical determinants in the early global spread of the pandemic, and it reveals that the spatio-temporal patterns of the worldwide spreading of COVID-19 are more a matter of network interconnectivity than of spatial proximity.

Tax Policy in the COVID-19 Pandemic: A Review of Publications in Leading Economic Journals

In the context of the world-long coronavirus pandemic, it is now essential that it is successful to overcome, break out painlessly and restore economic growth as soon as possible. Tax policy has a significant place in solving these problems. The purpose of the review is to identify, generalize and interpret information on the nature, degree of systemicity, depth, quality, discussion, existing trends and trends, synergy of tax policy research in the conditions of the coronacism in leading economic journals to identify problematic and understudied areas of knowledge that are important for tax science and practice, which require an early solution and whose development is the most in-demand in modern historical conditions. The scientific community in any scientific industry, including the tax industry, is required to build a single interconnected system of dynamically and effectively developing knowledge, rather than simply producing a set of interesting but disparate ideas. The research methods are a strategy of identifying keywords and search terms from the sphere of taxation and pandemic, screening sources and their primary filtering, content analysis of selected articles, critical reflection of groups of articles. As a result, it has been revealed that the palette of tax problems in the covid-19 environment explored in the publications of leading economic journals is fairly broad, but it goes beyond the front, not ahead of it develop models of various forward-looking scenarios for alternative tax options in force majeure; a clear interpretation of the pandemic realities of the pressing problems of the tax agenda of the present historical moment; writing new reviews as tax publications emerge between Cand19 and the exit from the medical and economic crisis.

Security Awareness in the Internet of Everything

Our societal infrastructure is transforming into a connected cyber-physical system of systems, providing numerous opportunities and new capabilities, yet also posing new and reinforced risks that require explicit consideration. This chapter addresses risks specifically related to cyber-security. One contributing factor, often neglected, is the level of security education of the users. Another factor, often overlooked, concerns security-awareness of the engineers developing cyber-physical systems. Authors present results of interviews with developers and surveys showing that increase in security-awareness and understanding of security risks, evaluated as low, are the first steps to mitigate the risks. Authors also conducted practical evaluation investigating system connectivity and vulnerabilities in complex multi-step attack scenarios. This chapter advocates that security awareness of users and developers is the foundation to deployment of interconnected system of systems, and provides recommendations for steps forward highlighting the roles of people, organizations and authorities.

CONCEPTUAL FRAMEWORK FOR HEAVY-DUTY VEHICLE PLATOONING IN PHYSICAL INTERNET SYSTEMS

One of today's most significant challenges is sustainability, which is closely linked to environmentally friendly solutions and resource efficiency. As a solution to these goals, the concept of the Physical Internet emerged, defining the logistics network of the future as a global, open, and interconnected system. Concerning the conditions of vehicles based on Physical Internet-based systems, we cannot ignore the latest vehicle technology innovations that appear more and more intensively in parallel. The framework proposes planning at the strategic, tactical, and operational levels. Different levels of coordination implement different approaches to platoon coordination in line with the network architecture of PI-based logistics systems. We recommend the highest level of offline design in fixed π-hubs. The tactical level involves designing π-hubs online. We propose the implementation of speed-based solutions at the operational planning level.

A Study on Directly Interconnected Offshore Wind Systems during Wind Gust Conditions

An investigation of the effects of wind gusts on the directly interconnected wind generators is reported, and techniques toward the mitigation of the wind gust negative influences have been proposed. Using a directly interconnected system approach, wind turbine generators are connected to a single synchronous bus or collection grid without the use of power converters on each turbine. This bus can then be transformed for transmission onshore using High Voltage Alternating Current, Low-Frequency Alternating Current or High Voltage Direct Current techniques with shared power conversion resources onshore connecting the farm to the grid. Analysis of the potential for instability in transient conditions on the wind farm, for example, caused by wind gusts is the subject of this paper. Gust magnitude and rise time/fall time are investigated. Using pitch control and the natural damping of the high inertial offshore system, satisfactory overall system performance and stability can be achieved during these periods of transience.

Life–Cycle Oriented Risk Assessment Using a Monte Carlo Simulation

State of the art mechatronic systems are complex assemblies of various parts and sub-systems. In such an interconnected system, even relatively cheap parts can have a major impact on the overall performance due to unexpected failure. Hence, lifecycle management has major implications on the successful modification of existing products. Potential savings due to changes in production and procurement must be compared to the implied risk of products failing in the field due to these changes. This work documents a generic approach for risk assessment based on the distribution of the expected savings and incident costs over the whole lifecycle. To do so, a stochastic model is introduced to quantify the expected savings and costs given a non-risk-free product modification. Using a Monte Carlo simulation, the effects of uncertainty are incorporated into the risk management. The model and simulation are deployed within an industrial use case. The application demonstrates both the appropriateness of the tool and its useability.

WAVELET TRANSFORM FOR MEDIUM-RANGE STREAMFLOWS PROJECTIONS IN NATIONAL INTERCONNECTED SYSTEM

This work aims to analyze the variability of average annual streamflow time series of the SIN (Brazil) and create a projection model of future streamflow scenarios from 3 to 10 years using wavelet transform. The streamflow time series were used divided into two periods: 1931 to 2005 and 2006 to 2017, for calibration and verification, respectively. The annual series was standardized, and by the wavelet transform, it was decomposed into two bands plus the residue for each Base Posts (BP) for later reconstruction. Then an autoregressive model per band and residue was made. The projection was obtained by adding the autoregressive models. For performance evaluation, a qualitative analysis of the cumulative probability distribution of the projected years and the likelihood were made. The model identified the probability distribution function of the projected years and obtained likelihood greater than 1 in most of the SIN regions, indicating that this methodology can capture the medium-range variability.

Intersection: Reimagining the Future of Mobility Across Traditional Boundaries

Mobility and transportation mean different things to people, even to those who work in various aspects of the ecosystem - from the movement of people or goods to the development of the infrastructure that enables mobility. For decades these different parts of the ecosystem have been approached as entirely independent industries, but the quickened pace of technological change has driven the need to reconsider how these distinct groups create the vibrant tapestry that is our mobility ecosystem. This book seeks to capture the varied perspectives as a collection of diverse views on the future of mobility, to provide a clearer view on the broad base of possibility and opportunity across this interconnected system. Contributors: Jonathon Baugh, Geoffrey Boquot, Reilly Brennan, Tiffany Chu, Jordan Davis, Courtney Erlichman, Elaina Farnsworth, Valerie Lefler, Wolfgang Lehmacher & Mikail Lind, Shoshana Lew, Suzanne Murtha, Mary Nichols, Trevor Pawl, John Perrachio, Aishwarya Raman, Karina Ricks, Alex Roy, Avinash Ruguboor, Anthony Townsend, Marla Westervelt, and Candace Xie. "Amazing roster of thought leaders come together to paint a picture of a whole new mobility paradigm in the interest of safety, sustainability, and equity." -- Sven Beiker, PhD. Managing Director at Silicon Valley Mobility and Lecturer at Stanford University