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 to constitutional complaint procedures: A real chance?

In a recent decision, the European Court of Human Rights concluded that the constitutional complaint before the Hungarian Constitutional Court can be seen as an effective domestic remedy. This decision shows the growing role of constitutional complaint procedures even in the international system of human rights protection; therefore, it is worth examining how national laws ensure efficient access to such procedures. The current paper aims to analyse a specific aspect of this complex problem, namely, the question of legal aid in constitutional court proceedings – particularly constitutional complaints procedures – in Germany, Austria and Hungary. As a general staring point, it is intended to derive the need for legal aid from the national constitutions, followed by an analysis on the availability of legal aid schemes for constitutional complaint procedures and their conditions. The examination is based on the national legal provisions and case-law, as well as the relevant secondary literature. This comparative study can enable some conclusions to be drawn on the question of how constitutional complaints can become more efficient tools in the protection of fundamental rights for those in need, as well.

Perception of Climate Change Effects over Time and the Contribution of Different Areas of Knowledge to Its Understanding and Mitigation

Climate change is a current subject that is attracting more and more attention, whether from academics or the public. This public attention is mainly due to the frequently published news in the media, reporting consequences caused by extreme weather events. On the other hand, scientists are looking into the origins of the phenomenon, seeking answers that will somehow help to mitigate the effects of climate change. This article presents a review of some of the different possible approaches taken on climate change, to demonstrate the need to build a multidisciplinary perspective of the problem. It is understood that only the integration of different perspectives, presented by different areas of knowledge, such as natural sciences, social and economic sciences and human sciences, will make it possible to build modeling and predictive scenarios, which realistically may represent the development of the earth system under the influence of climate change. In this way, with the support of all areas of knowledge, the creation of forecast models where all possible changes to the different variables of the earth system may be simulated will allow for the mitigation measures presented to be analyzed in advance and, thus, prioritized. This review shows that a multi and interdisciplinary approach, based on the knowledge acquired from different knowledge and science fields, presents itself as the way to solve this global and complex problem caused by climate change.

Review on Study Methods for Reciprocally Enwrapping Surfaces

The processing of the piece surfaces involves the transformation of the blank into a piece, the defining characteristics of the surfaces (the form, dimensions, deviations, etc.), depending to a large extent on the parameters of the generated processes of the surfaces. Generating surfaces by enveloping represents a complex problem, this mode of generating being a constant concern of researchers due to its advantages. A very important issue is the cutting edge profiling of the future tool, which will generate the wanted profile of the piece. Throughout time, researchers have studied the problems of enveloping surfaces and stated theorems related to them, based on which practical solutions have been conceive to determine the generating and generated surfaces form. The paper presents an overview on study methods for reciprocally enwrapping surfaces, as well as methods for profiling tools for generating helical surfaces by the kinematic method and by the method of decomposing the helical movement. This review can represent a basis for future research articles and projects.

Farm Animal Veterinarians’ Knowledge and Attitudes toward Antimicrobial Resistance and Antimicrobial Use in the Republic of Serbia

Antimicrobial resistance (AMR) is considered one of the most prevalent global health issues in both veterinarian and human medicine. This complex problem requires a “One Health” approach with the cooperation of all healthcare sectors, as well as agriculture, finance, and consumers. We conducted a survey with the objective to assess the knowledge and attitudes of farm animal veterinarians toward AMR and antimicrobial use in the Republic of Serbia with a small focus on mastitis therapy. A total of 110 respondents completed the questionnaire, which represents a response rate of 27.3%. The majority of our respondents (n = 102, 92.7%) completely agreed that AMR currently represents severe concern in the health sector. Unfortunately, less than one-third (n = 34, 30.9%) of the respondents had only heard about antimicrobial stewardship. Participants showed a positive attitude toward prudent antimicrobial use and were open to solutions to the AMR crisis. We noticed a certain gap between farm veterinarians’ desire to improve and perform better in daily practice, while at the same time feeling like they did not have enough guidance, help, and resources.

Did Medicaid Expansion Mitigate Disparities in Post-mastectomy Reconstruction Rates?

Background Patient and socioeconomic factors both contribute to disparities in post-mastectomy reconstruction (PMR) rates. We sought to explore PMR patterns across the US and to determine if PMR rates were associated with Medicaid expansion. Methods The NCDB was used to identify women who underwent PMR between 2004-2016. The data was stratified by race, state Medicaid expansion status, and region. A multivariate model was fit to determine the association between Medicaid expansion and receipt of PMR. Results In comparison to Caucasian women receiving PMR in Medicaid expansion states, African American (AA) women in Medicaid expansion states were less likely to receive PMR (OR .96 [.92-1.00] P < .001). Patients in the Northeast (NE) had better PMR rates vs any other region in the US, for both Caucasian and AA women (Caucasian NE ref, Caucasian-South .80 [.77-.83] vs AA NE 1.11 [1.04-1.19], AA-South (.60 [.58-.63], P < .001). Interestingly, AA patients residing in the NE had the highest receipt of PMR 1.11 (1.04-1.19), even higher than their Caucasian counterparts residing in the same region (ref). Rural AA women had the lowest rates of PMR vs rural Caucasian women (.40 [.28-.58] vs .79 [.73-.85], P < .001]. Discussion Racial disparities in PMR rates persisted despite Medicaid expansion. When stratified by region, however, AA patients in the NE had higher rates of PMR than AA women in other regions. The largest disparities were seen in AA women in the rural US. Breast cancer disparities continue to be a complex problem that was not entirely mitigated by improved insurance coverage.

Construction of the graph model for determining an ecological compatibility of a transportation process

Uncertainty of data during environmental monitoring prevents with confidently and objectively assessing the current condition of the environment, the influence of factors affecting the fuel consumption of vehicles during operation. In addition, it creates a serious problem in assessing the dynamics of this condition, especially when it comes to relatively small levels of pollution that are on the verge of the sensitivity of systems and devices in the car. It is precisely these tasks that include the determination of atmospheric pollution by emissions from road transport in conditions of variable weather and climatic conditions, carrying out routine maintenance, changing a configuration of an engine or transmission. The article discusses: a) factors related to the characteristics and vehicle systems, with the maintenance of vehicles. This category focuses on fuel consumption and CO2 emissions, which depend on the technical and operational characteristics of the vehicle, its weight and aerodynamics, tires and auxiliary systems, the quality and timeliness of maintenance and repairs; b) factors related to the environment and traffic conditions (weather conditions, road morphology and traffic conditions); c) factors related to a driver of a vehicle (driver qualifications, driving style). Optimization of factors related to vehicle systems and their characteristics has been performed; by using fuel of optimum quality and driving efficiently, you can achieve savings in fuel (financial) consumption and CO2 emissions. The article proposes the solution to a complex problem of managing the transport process while minimizing fuel consumption and CO2 emissions from passenger cars, depending on the road and climatic conditions and the driver's qualifications, based on the theory of fuzzy sets. This approach made it possible to largely compensate for the lack of objective information about the process due to its uncertainty by subjective expert data.

A Journey From Neural Networks to Deep Networks

The chapter is about deep learning fundaments and its recent trends. The chapter mentions many advanced applications and deep learning models and networks to easily solve those applications in a very smart way. Discussion of some techniques for computer vision problem and how to solve with deep learning approach are included. After taking fundamental knowledge of the background theory, one can create or solve applications. The current state-of-the-art of deep learning for education, healthcare, agriculture, industrial, organizations, and research and development applications are very fast growing. The chapter is about types of learning in a deep learning approach, what kind of data set one can be required, and what kind of hardware facility is required for the particular complex problem. For unsupervised learning problems, Deep learning algorithms have been designed, but in the same way Deep learning is also solving the supervised learning problems for a wide variety of tasks.