Flight-schedule using Dijkstra's algorithm with comparison of routes findings

<span>The Dijkstra algorithm, also termed the shortest-route algorithm, is a model that is categorized within the search algorithms. Its purpose is to discover the shortest-route, from the beginning node (origin node) to any node on the tracks, and is applied to both directional and undirected graphs. However, all edges must have non-negative values. The problem of organizing inter-city flights is one of the most important challenges facing airplanes and how to transport passengers and commercial goods between large cities in less time and at a lower cost. In this paper, the authors implement the Dijkstra algorithm to solve this complex problem and also to update it to see the shortest-route from the origin node (city) to the destination node (other cities) in less time and cost for flights using simulation environment. Such as, when graph nodes describe cities and edge route costs represent driving distances between cities that are linked with the direct road. The experimental results show the ability of the simulation to locate the most cost-effective route in the shortest possible time (seconds), as the test achieved 95% to find the suitable route for flights in the shortest possible time and whatever the number of cities on the tracks application.</span>

Access Under Duress

This paper examines the rapid turn to remote public meetings during the COVID-19 pandemic. Drawing on a mix of archival materials, participant observation, and interviews within and around two mid- to large cities in the Rust Belt and Midwest regions of the United States, we consider how public officials introduced digital meeting platforms and surveys in place of traditional forms of in-person public consultation. We also examine emergent strategies of residents as they worked to have their voices heard and concerns met during a time of compounding crises (e.g., pandemic, economic recession, racial violence). Drawing from this case study, we articulate the concept of disruptive testimony, forms of public witnessing that trouble established hierarchies of power, surface conflict, and open opportunities for social change. We argue consideration for collective counter-power is increasingly important to GROUP scholarship as it attends to civic engagement beyond participation in formal, sanctioned government processes.

Ionic Conductive Polymers for Electrochemical Devices

Increasing levels of pollution (especially in large cities), the rising cost of oil, and climate change are pushing the scientific community towards more sustainable solutions for the conversion and storage of energy [...]

Sources of airborne particulate matter-bound metals and spatial-seasonal variability of health risk potentials in four large cities, South Korea

Fifteen airborne particulate matter-bound metals were analyzed at 14 sites in four large cities (Seoul, Incheon, Busan, Daegu) in South Korea, between August 2013 and June 2017. Among the seven sources resolved by positive matrix factorization, soil dust and marine aerosol accounted for the largest and second largest portions in the three cities; however, in Seoul, soil dust and traffic occupied the largest and the second largest, respectively. Non-carcinogenic risk assessed by inhalation of eight metals (Cd, Co, Ni, Pb, As, Al, Mn, and V) was greater than the hazard index (HI) of 1 at four sites located at or near the industrial complexes. Cumulative incremental lifetime cancer risk (ILCR) due to exposure to five metals (Cd, Co, Ni, Pb, and As) exceeded the 10−6 cancer benchmark at 14 sites and 10−5 at six sites, which includes four sites with HI greater than 1. The largest contributor to ILCR was coal combustion in Seoul, Incheon, and Daegu, and industry sources in Busan. Moreover, industry sources were the largest contributors to non-carcinogenic risk in Seoul, Busan, and Daegu, and soil dust was in Incheon. Incheon had the highest HI in spring because of the higher contribution of soil dust sources than in other seasons. The higher ILCR in Incheon in spring and winter and higher ILCR and HI in Daegu in autumn were mainly due to the influence of industry or coal combustion sources. Statistically significant differences in the ILCR and HI values among the sampling sites in Busan and Daegu resulted from the higher contribution of industry sources at a certain site in the respective city.

Working from home and long-term housing wealth inequality in large cities of advanced economies

Purpose The purpose of this study is to explain the potential long-term impacts of working from home on housing wealth inequality in large cities of advanced economies. Design/methodology/approach This study is descriptive research and It supports the arguments by providing some emerging evidence from property markets in developed countries. Findings The authors argue that due to the unique nature of the COVID-19 crisis, it will have a different and long-term impact on housing wealth inequality. Changes in the working arrangements of many professionals will change the housing demand dynamic across different suburbs and may lead to a reduction of the housing wealth gap in the long term. In this paper, the authors propose five mechanisms that may impact housing wealth inequality. Research limitations/implications Long-term data is required to test the proposed conceptual model in this study and the effect of the COVID-19 pandemic on housing wealth across and within suburbs of large cities. Practical implications Policymakers and regulators may benefit from the discussions and suggestions provided in this study and consider the proposed avenues on how new changes in the working environment (remote working) may result in a reduction of housing wealth inequality. Originality/value This study presents a new perspective about the potential long-term impacts of working from home that is posed by the COVID-19 pandemic on housing wealth inequality in large cities of developed economies.

Water Leakage Detection System Using Arduino

Clean water is a scarce resource for the human life and is subject to wastage due to leakage of the distribution pipes in large cities. Water pipe leakage is a big problem around the world of which most of the water distribution authorities faces difficulties to detect the location of the fault. This problem of leakage can be caused by several factors such as breakage of the pipelines due to aging or ongoing constructions in urban cities like Dar es salaam, consequently due to that case, the distribution authorities face hardship to identify the cause and enable them to take action. Therefore, the aim of this project was to develop an IoT-based system for water leakage detection. The prototype was developed comprising two sensors embedded at the source and destination points to measure the flow rate of water. The result indicated that the volume of water generated at the start point can be compared with the other end to determine if there is any leakage. A greater focus on distance calculation could produce interesting findings that account for more research on IoT monitoring systems.

Salutogenesis in Health Promoting Settings: A Synthesis Across Organizations, Communities, and Environments

Settings are defined by the World Health Organization (1998) as “the place or social context in which people engage in daily activities in which environmental, organizational, and personal factors interact to affect health and well-being.” Such settings range from small-scale home/family to (international) organizations and large cities and thus differ in size, in their degree of formalized organization and their relationships to society.The chapters in Part V review how salutogenesis has been applied to health promotion research and practice in a broad range of settings: organizations in general, schools, higher education, workplace, military settings, neighborhood/communities, cities, and restorative environments. The following synthesis demonstrates that applying salutogenesis to various settings and linking salutogenesis with other models established in these settings has the great potential to generate ideas on how to advance the general salutogenic model.