bluuebunny/crossref_metadata_2025 huggingface dataset:
AN INDUSTRIAL DESIGN AS INTELLECTUAL PROPERTY UNDER THE LAWS OF THE REPUBLIC OF BELARUS
Authors:   Head of the Department of Intellectual Property of the A.S. Griboyedov Moscow University, Bliznets Ivan A. , Vanyukov Pavel D. ,   Postgraduate Student of the Department of Intellectual Rights of the Kutafin, Boyko Olga S. ,   Patent Attorney of the Republic of Belarus
Published: August 2024

In this article, the authors have made an attempt at giving a short description of such intellectual deliverable as an industrial design and listed some issues that are controversial on the practical level by reviewing an industrial design from the standpoint of purely formal expert examination existing in the Republic of Belarus and expert examination limits.
POWER GENERATION, ECONOMY AND LAW IN THE ARCTIC ZONE OF RUSSIA
Authors:   enior Research Scientist of the Department of Entrepreneurial and Corporate Law, Battakhov Petr P.
Published: August 2024

The article examines the correlation of interconnected areas: energy, economics and law. It was emphasized that energy resources for solving the strategic tasks of the state are effective areas for the development of economic activity in the Arctic zone of Russia. It is emphasized in the Arctic that the profit mechanism is associated with the production of hydrocarbons on the Arctic shelf. Important problems of the structure of the infrastructure complex and environmental protection during the extraction of minerals on the shelf by methods of new technologies are touched upon. It is justified that strategic directions as an economy and law should be combined to adopt a special legal regime for all subjects of the Arctic zone of Russia. An array of regulatory legal acts on economic activity in the Arctic has been investigated. It is proposed to adopt a comprehensive federal law for the development of the country’s economy in relation to raw materials energy.
Financial Platform as a Means of Risk Distribution in a Loan Agreement
Authors:   Postgraduate Student of the S.N. Lebedev Department of International Private and Civil Law, Yakusheva Maria A.
Published: August 2024

In this article the author considers the possibility of using the financial platform mechanism as a new way of distributing risks between the parties to a loan agreement. As a result of the analysis of legislative and doctrinal sources, as well as the existing practice of using the financial platform, the author concludes that despite the existing shortcomings in regulation, the financial platform has the necessary technical capabilities and powers enshrined in the relevant legislation allowing it, along with traditional models, to be an effective mechanism for distributing the risks of the parties.
The Legal Regime of Urban Vegetation in Russia and Foreign Countries
Authors:   Leading Research Scientist of the Institute of Legislation and Comparative Law, Minina Elena L. , Shupletsova Yulia I. ,   Leading Research Scientist of the Institute of Legislation and Comparative Law
Published: August 2024

The article notes that the legal regime of urban vegetation has been and remains the subject of debate for many years by both legal scholars and practitioners. The need to establish uniform rules for the legal protection of green spaces on the lands of populated areas at the federal level periodically leads to the emergence of new draft federal laws. However, despite all the efforts made, such rules have not yet been established. The authors of the article set the task of analyzing the existing legislation of Russia and the constituent entities of the Russian Federation, as well as the legislation of a number of foreign countries in the field of protection of urban vegetation in order to determine approaches to establishing a unified regime for such plantings.
Possibilities of Forensic Economic Examinations in the Investigation of Crimes Related to the Circulation of Cryptocurrency
Authors:   Chief State Forensic Expert of the Department of Economic Examinations, Vinogradova Marina M.
Published: August 2024

Based on the practice developed in the department of economic examination of the FBU RFCSE under the Ministry of Justice of Russia, the possibilities of forensic economic examination are revealed, which is appointed during the investigation of criminal cases related to the circulation and theft of cryptocurrency. The main differences between cryptocurrency and digital fiat money are shown. It is clarified that cryptocurrency has only market value. Public sources of information on cryptocurrency transactions are described, which can be used by both law enforcers and experts. The features of conducting complex computertechnical and economic examinations are considered. It has been established in which cases it is sufficient to appoint an economic examination. The limits of competence of an expert economist when studying transactions with cryptocurrency are outlined, and it is explained what issues can be resolved by him.
On Certain Problems of Criminal Evasion as a Continuing Crime with a Focus on Malicious Failure to Enforce a Court Order (Article 315 of the Criminal Code of the Russian Federation)
Authors:   Postgraduate Student of the Department of Criminal Law and Criminology of the Law Faculty of the Lomonosov, Volkovoy Dmitry S.
Published: August 2024

In this article, through the prism of one of the decisions of the Constitutional Court of the Russian Federation, the problems of malicious non-execution of judicial act as a continuing crime are considered, in connection with which the issues of the criminal-legal significance of an unfulfilled duty in the structure of a continuing crime are analyzed, as well as determining the moment of the end of malicious non-execution of a judicial act. To this end, the theory of criminal law and judicial practice are studied. The author substantiates the conclusion that, contrary to the position of the Constitutional Court of the Russian Federation, the application of criminal law norms on evasion within the framework of the construction of continuing crimes entails a violation of the principle of prohibiting the repeated conviction of the guilty person for the same crime.
Improving Ways to Counter Cybercrime Based on Foreign Experience
Authors:   Associate Professor of the Department of Criminal Procedure Law of the Academy of the Ministry of Internal Affairs, Sabyrbaeva Ainura B.
Published: August 2024

The article substantiates the need to introduce new technologies to counter cybercrime and money laundering obtained by criminal means. Foreign experience in law enforcement cooperation both within the country and between other countries (communication point, computer software, system programs, etc.) is being studied, as well as proposals are being made to effectively combat cybercrime.
Controversial Issues of Subjective Signs of Corpus Delicti under Art. 156 of the Criminal Code of the Russian Federation
Authors:   Associate Professor of the Department of Criminal Law and Process of the Moscow State University, Popov Dmitry V.
Published: August 2024

The article discusses controversial issues related to the mandatory feature of the subjective side of the corpus delicti provided for in Article 156 of the Criminal Code of the Russian Federation as guilt, as well as to the subject of this crime. The position is substantiated, according to which the failure to fulfill the duties of raising a minor, combined with ill-treatment of him, is committed only with direct intent. Based on the analysis of the disposition of Article 156 of the Criminal Code of the Russian Federation, normative legal acts of the Russian Federation and explanations of the Plenum of the Supreme Court of the Russian Federation, the circle of persons who may be subjects of the specified corpus delicti is determined.
The Role of Local Self-Government Bodies in the Prevention of Drug Addiction and Drug-Related Crimes
Authors:   Associate Professor of the Department of Criminal Law of the Orel State University, Maslakova Elena A.
Published: August 2024

The article examines the role of local governments in the prevention of drug abuse and drug crime. Attention is paid to the main directions of preventive work of local governments in this area, and ways to improve this activity are considered.
Conflict of Interest. A Review of the Practical Guide for Municipal Administration. Moscow, 2023. 377 p.
Authors:   Head of the Department of Corruption Prevention Methodology of the Institute of Legislation and Comparative Law, Truntsevsky Yury V.
Published: August 2024

The development and improvement of the institution of conflict of interest prevention necessitates a collaborative effort between government agencies, public organizations, and the expert community. This is the only way to create an effective anti-corruption system and safeguard the interests of citizens and society at large. Municipal governance represents a pivotal domain of state activity, exerting a profound impact on the quality of life of citizens. However, instances of conflict of interest, corruption, and abuse are pervasive, eroding trust in the authorities. The book, entitled Conflict of Interest. A Practical Guide for Municipal Administration, is of great relevance, both in theoretical and practical terms. In the modern world, the issue of conflict of interest is becoming increasingly significant and requires a comprehensive approach to resolution. The authors of the book effectively integrate theoretical aspects of conflict of interest analysis with practical guidance for specialists in municipal administration. In their handbook, the authors address the issue of combating corruption at the municipal level, emphasizing the necessity for effective action by authorities and public organizations in this domain. It is essential that the legislation be transparent and effective in order to prevent and punish abuses.
Using e-learning for translation subjects in Algerian universities: The reality of distance education
Authors: Mebarki Amel
Published: August 2024

The higher education sector in Algeria continues to shape the future of hybrid (blended) learning. There are certain obstacles associated with teaching certain disciplines, including translation, through virtual classrooms. The current study aims to investigate the reality of online learning at Algerian institutions and ascertain how instructors and students feel about using e-learning platforms for translation-related courses. Two research tools, an interview and a questionnaire, were used to gather and analyze data. The study's conclusions showed that while online learning can be somewhat beneficial, it is not as effective as in-person instruction, especially when it comes to time management and examinations. Additionally, it was shown that both instructors and students encountered difficulties with online learning (OL), including adjusting to the virtual setting and a deficiency in motivation and interaction. The study found that while OL is helpful, it cannot replace in-person instruction. The study therefore suggested hybrid learning, which combines online and in-person training.
Keywords: challenges; online learning; students’ perceptions; teachers’ perceptions; translation subjects.
Español para extranjeros a través de novelas colombianas
Authors: Cárdenas Fonseca Pedro Leonidas , Motta Ávila José Humberto , Rodríguez Pérez José Bernardino , Waked Hernández Myriam Teresa , Ramírez Avendaño Alberto , Rico Cadena Julián Alberto , Raquel Laura , Alejandra Camila , Julio Carlos , Alexander Santiago , Marcel Johan
Published: August 2024

A través del lenguaje popular y las manifestaciones de la cultura, contenidos en los resúmenes de las narraciones de ocho novelas representativas colombianas, el aprendiente de ELE incursiona en disímiles universos imaginarios que, a la vez, se concretan en escenas reales de la vida cotidiana. Esto le permite una inmersión en el habla viva de la gente que habita diferentes espacios geográficos y sociales. El corpus es un caleidoscopio de la vida colombiana: ¡Que viva la música! de Andrés Caicedo, Los Parientes de Ester de Luis Fayad, La Virgen de los Sicarios de Fernando Vallejo, Sin remedio de Antonio Caballero, El álbum secreto del sagrado corazón de Rodrigo Parra Sandoval, Delirio de Laura Restrepo, La Marquesa de Yolombó de Tomás Carrasquilla y Finale Capriccioso con Madonna de Rafael Humberto Moreno-Durán. En estas novelas, por efecto del proceso semiósico, la lengua devela la riqueza de sentidos que llega a convertirse en un desafío motivador para el aprendiente e, incluso, para el hablante nativo; por esto, está dirigido al Nivel C del MCER.Al mismo tiempo que se dinamizan los cuatro tipos de actividad comunicativa (comprensión, expresión, interacción y mediación), se activa la competencia intercultural por medio de los ocho talleres didácticos diseñados con base en las novelas referidas. Para esto, se proponen variadas y ricas estrategias pedagógico-didácticas que promueven la enseñanza y el aprendizaje del español como lengua extranjera, desde la literatura. En suma, Español para extranjeros a través de novelas colombianas no solo es un libro resultado de investigación, sino un texto didáctico para habitar el lenguaje y la cultura populares.
A FMKL-GLD Quantile Method for Estimating Economic Growth in Nigeria in the Presence of Multicollinearity and Outlier
Authors: Ebiwonjumi Ayooluwade , Chifurira Retius , Chinhamu Knowledge
Published: August 2024

Nigeria’s economic growth posed to be a serious concern to policymakers, economics and scholars due to the challenges of economic characteristics, consequences and contradictions. Despite the effort made by the Central Bank of Nigeria in implementing several policies such as tightening of monetary policy rate and heavy borrowing for infrastructural development to stimulate economic growth in the past few years. The economic growth in Nigeria between 1999-2007 was 6.95 percent, between 2008-2010, it was stood 7.98 percent and it was 4.80 percent between 2011-2015 and from 2016 till day the economic growth stood at 0.81 percent. In this study, we estimate parameters to determine Nigerian economic growth in the presence of multicollinearity and outliers. We employed the FMKL-GLD quantile model to quarterly data from 1986 to 2021 obtained from the Central Bank of Nigeria. Exploratory data analysis (EDA) and diagnostic test carried out ascertained the presence of multicollinearity and outlier. However, it was discovered that in model that  INDT, RINR, REXR and OPEN contributed positively to the economic growth to the turn of 0.15%, 0.24%, 0.06% and 1.76%  while, it was revealed that EXDT contributed negatively to the economic growth in Nigeria thus, reduced economic growth by 0.02% and as such showed the tendency and potential macroeconomic variables under study as a veritable determinant of economic growth. The location, scale and space parameters , , , and  for the fitted FMKL-GLD model were -0.0253, 34.1488 -0.3303, and -0.5758. Therefore, it can be concluded based on the location, scale and space parameters from FMKL-FGLD and GLD Q,Q plots as well as the estimated parameter of RGDP, FMKL-FGLD was the best model that described the economic situation in Nigeria by showing that economy was growing in retrogressive direction and the need for drastic effort and strong willed to curtail the situation. To achieve this, the adoption of economic openness to the development and the growth of economy in Nigeria is a veritable policy direction that must be strictly followed.
Prediction problem for continuous time stochastic processes with periodically correlated increments observed with noise
Authors: Luz Maksym , Moklyachuk Mikhail
Published: August 2024

We propose solution of the problem of the mean square optimal estimation of linear functionals which depend on the unobserved values of a continuous time stochastic process with periodically correlated increments based on observations of this process with periodically stationary noise. To solve the problem, we transform the processes to the sequences of stochastic functions which form an infinite dimensional vector stationary sequences. In the case of known spectral densities of these sequences, we obtain formulas for calculating values of the mean square errors and the spectral characteristics of the optimal estimates of the functionals. Formulas determining the least favorable spectral densities and the minimax (robust) spectral characteristics of the optimal linear estimates of functionals are derived in the case where the sets of admissible spectral densities are given.
Optimized Parameter Estimation and Integrating Neural Network Forecasting of Dynamic Plant-Livestock Model for Early Warning in Agro-Environment Control Systems
Authors: Puoetsile Agolame , Lekgari Mokaedi , Kassa Semu , Mengistu Tsidu Gizaw
Published: August 2024

The research utilizes the Lotka-Volterra prey-predator model to study Plant-Herbivore dynamics, focusing on the relationship between traditional livestock farming and vegetation conditions. Advanced methods are developed to improve the precision and efficiency of parameter estimation in these models. Neural networks are incorporated to enhance forecasting abilities, and an extension of the Plant-Herbivore models includes Botswana's climate and livestock variables. Efficient parameter space exploration is achieved using the Runge-Kutta method along with Multistart and the local solver $fmincon$ in MATLAB. This method improves parameter estimation accuracy. To address the impact of homogeneity assumptions in the data, estimate aggregation through weighting and time conversion is applied. Furthermore, the study investigates the use of nonlinear least squares to further refine the process, allowing for the identification of parameters that best fit observed livestock data, even with non-linearity. By using optimized parameter estimation techniques along with normalized nonlinear least squares, the cumulative error was reduced from an initial 1563.4521 to a final value of 0.0038, well within the specified thresholds (1.0, 0.1, and 0.01). Comparisons between Autoregressive Integrated Moving Average (ARIMA) and Neural Network Auto-Regressive (NNAR) models showed that NNAR models outperformed ARIMA models, with lower variance estimates (0.000004 - 0.000562) compared to ARIMA (0.103 - 0.155). NNAR models displayed Mean Error (ME) values ranging from -0.0012 to 0.0140, indicating a close match between forecasts and actual values with minor deviations. As a result, NNAR forecasting was used for predicting soil moisture, death, and harvest rates, which were integrated into the extended Plant-Herbivore model. This integration enabled the estimation of livestock production trajectories for 2021-2022, along with corresponding interpretations. The study also assessed the uncertainty propagation from NNAR forecasts onto the Plant-Herbivore dynamic model, revealing an increase in uncertainty with longer lead times.
Julia sets of transcendental functions via a viscosity approximation-type iterative method with s-convexity
Authors: Ahmad Iqbal , Sajid Mohammed , Ahmad Rais
Published: August 2024

In this article, we explore and analyze the different variants of Julia set patterns for the complex exponential function $W(z) =\alpha e^{z^n}+\beta z^2 + \log{\gamma^t}$ and complex sine function $T(z) =\sin({z^n})+\beta z^2 + \log{\gamma^t}$, where $n\geq 2, \alpha, \beta\in\mathbb{C}, \gamma\in\mathbb{C}\backslash {0}$, and $t\in\mathbb{R}, ~t\geq 1$ by employing a viscosity approximation-type iterative method with $s$-convexity. We utilize a viscosity approximation-type iterative method with s-convexity to derive an escape criterion for visualizing Julia sets. This is achieved by generalizing the existing algorithms, which led to visualization of beautiful fractals as Julia sets. Additionally, we present graphical illustrations of Julia sets to demonstrate their dependence on the iteration parameters. Our study concludes with an analysis of variations in the images and the influence of parameters on the color and appearance of the fractal patterns. Finally, we observe intriguing behaviors of Julia sets with fixed input parameters and varying values of $n.$
Modelling and forecasting Masvingo Province maternal mortality using time series models
Authors: Makoni Tendai , Ndlovu Nomagugu T
Published: August 2024

In light of the Zimbabwean government's efforts, particularly through the Ministry of Health and Child Care (MoHCC), to reduce maternal mortality rates and achieve the aim of Sustainable Development Goal (SDG) number three, target one (SDG 3.1), which aims to reduce the global maternal mortality rate to fewer than 70 deaths per 100,000 live births, maternal mortality rates in Zimbabwe continue to rise. Time series techniques were used to model and predict quarterly maternal mortality statistics for Masvingo Province from January 2014 to December 2021. The time plot analysis revealed significant fluctuations in mortality, with the highest rates of maternal deaths recorded in 2018. The application of the Box-Jenkins methodology identified the ARIMA(2, 1, 1) model as the most suitable for modeling and forecasting quarterly maternal deaths among the fitted models. The suitability of the model was validated by the Akaike Information Criterion (AIC), and its forecast accuracy was confirmed by the Mean Absolute Error (MAE) and the root mean square error (RMSE). Consequently, it was used to project future maternal deaths. The projected values indicate a slight increase in quarterly mortality rates during the period, but there appears to be a relatively stable trend with moderate fluctuations, suggesting that Zimbabwe has not met the targets of SDG 3.1. These results underscore the need to re-assess current intervention programs aimed at reducing maternal mortality. The findings of the study could guide the refinement of existing strategies and the implementation of innovative solutions to urgently address unacceptably high mortality rates. Using statistical models such as the one used in this study, the Ministry of Health and Child Care (MoHCC) can make informed decisions in the health sector and implement effective interventions to combat maternal mortality.
Optimization of the K-Nearest Neighbor Algorithm to Predict Bank Churn
Authors: Akakpo Sonia , Dambra Patrick , Paz Rachell , Smyth Timothy , Torre Frank , Yu Chunhui
Published: August 2024

Bank churn occurs when customers switch from one bank to another. Although some customer loss is unavoidable, it is important for banks to avoid voluntary churn as it is easier and cheaper to keep an existing customer than to gain a new one. In our paper, we train and optimize a machine learning algorithm, specifically a k-nearest neighbors algorithm, to predict whether or not a customer will leave their bank using existing demographic and financial information. Bygiving banks a reliable method for predicting whether or not a customer will churn, they can prioritize certain groups in an effort to increase retention rates. We compare the accuracy of our algorithm to other types of machine learning algorithms, such as random forest and logistic regression models, and increase the accuracy of the k-nearest neighbor algorithm by optimizing the k value used in our model, as well as utilizing 10-folds cross-validation. We determine the most important attributes and weight them appropriately. After optimizing this model, we are able to predict with 85.72% accuracy whether or not the customer will churn.
Public health challenges in the context of the influx of refugees from Ukraine to Poland
Authors: Sosada Nicol , Mierzwa Agnieszka , Syrkiewicz-Świtała Magdalena
Published: August 2024

The new geopolitical situation connected Russia’s invasion of Ukraine has put the Polish healthcare system in front of a huge challenge and the necessity to quickly take and implement strategic decisions aimed at providing the best possible healthcare for refugees without harming the Polish society. Objective: The main objective of the article is to present selected challenges of public health resulting from the influx of refugees to Poland. Materials and methods: the research part used a review of the current Polish literature containing information on the influx of refugees to Poland, Google Scholar, and PubMed scientific databases, as well as statistical data from the Central Statistical Office (CSO). Results: public health, despite many difficulties related to the lack of medical documentation, the threat to the health security of the Polish population, the excessive burden on the state budget, and problems with the implementation of Ukrainian specialists, developed and consistently implemented health strategies with the involvement of private health care. The reforms implemented by the Polish government, aimed at adapting to the new reality, have contributed to the provision of the necessary and specialized health services for refugees, without adversely affecting access to medical care for Polish citizens. Conclusions: The changes introduced by the Polish government, which contributed to the adaptation of the healthcare system to new challenges, such as providing support to refugees, were analyzed. The results of the analysis show that these modifications made it possible to provide the necessary and specialized health services for this group, without affecting the accessibility of healthcare for Polish citizens. The study suggests that such an approach can provide an effective model for adapting to contemporary migration challenges while meeting the needs of refugees and ensuring access to healthcare for the local community.
Carbon Border Adjustment Mechanism (CBAM): Geographical and commodity scope in Polish imports
Authors: Kawecka-Wyrzykowska Elżbieta
Published: August 2024

The Carbon Border Adjustment Mechanism (CBAM) is a new instrument of the EU’s European Green Deal policy. It is intended to contribute to the reduction of greenhouse gas emissions in the world. The CBAM provides for a levy (tax) to be imposed on energy-intensive imports which heavily pollute the environment. The aim of the study was to provide a quantitative assessment of the commodity and geographical coverage of the CBAM in Polish imports. Several indicators were calculated to assess the possible negative impact of CBAM. These indicators can be interpreted as rough measures of the effects of the tax. They were compared with similar indicators calculated by other authors for the whole EU.
This paper is a continuation of earlier studies of other researchers who analyzed CBAM coverage and possible implications, while adopting assumptions other than those finally included in the CBAM Regulation.
The key findings and main conclusions are as follows: Negative effects of the CBAM will be concentrated on several product groups: steel products, chemicals, polymers, and aluminum. These products accounted for as much as 96% of Poland’s external import subject to the levy. The scale of the final effects of the tax will depend mainly on the level of ETS allowance prices and the intensity of adjustments made by domestic companies and foreign partners. The study ends with two conclusions: First, manufacturers have several years to prepare a strategy to limit the negative effects of the levy (it will be charged as of 2026), but they should start the adjustments as soon as possible. Second, the carbon footprint of a product (as low as possible) is becoming an increasingly important factor in the manufacturers’ international competitiveness.
The method of descriptive analysis as well as statistical methods were used.
The consumer behavior in the context of counterfeit products: A bibliometric analysis
Authors: Jadach Robert , Łopatka Paweł
Published: August 2024

This article aims to identify the main areas of works devoted to the topic of counterfeit goods/brands consumption and to present the dynamics of changes in researchers’ interest in this subject. The research method used in the article was bibliometric analysis, complemented by content analysis of literature selected from the Scopus database. Research results: The main areas of research on the issue of counterfeit product consumption focused on 1) online consumer behavior and ethical aspects, 2) consumption of counterfeit products and brands, and 3) social aspects of consumption of counterfeit products. The earliest publications focus on purchasing behavior in the context of buying counterfeit products, followed by researchers who have focused on the ethical aspects of consuming counterfeit goods. More recent studies focus on the consumption and trade of counterfeit goods on the Internet. Conclusions: The ever-expanding global trade in counterfeit products poses a major challenge — it erodes business revenue, undermines innovation, and hampers economic growth. To effectively mitigate these phenomena, it is essential to have up-to-date knowledge of the latest scientific advances in the field. Research into the buyer behavior in the context of counterfeit goods can provide useful information for manufacturers about the scale of the problem and the possible need for remedial action.
Experimental studies of passenger cars with elastic gangways and strength assessment taking into account operating conditions
Authors:   JSC Scientific Organization «Tver Institute of Car Engineering», Sorokina Elena V. , Samoshkin Sergey L. ,   JSC Scientific Organization «Tver Institute of Car Engineering», Samoshkin Oleg S. ,   JSC «Federal Passenger Company», Korshunov Sergey D. ,   JSC Scientific Organization «Tver Institute of Car Engineering»
Published: August 2024

The introduction of innovative passenger rolling stock and two-car couplings on domestic railways required them to be equipped with fundamentally new transition platforms - elastic gangways. The article presents the results of tests to assess the strength of the wagon body and the elastic gangways transition under the influence of concentrated and area-distributed loads, taking into account the simulation of external operational factors (passage of regulatory curves by the coupling, resistance to excessive solar radiation, water, wind load).
Experimental studies of changes in the coefficient of excess air and free oxygen in the exhaust gases of a gasoline engine
Authors:   South Ural State Agrarian University, Gritsenko Alexander V. , Glemba Konstantin V. ,   South Ural State Agrarian University, Starunov Alexander V. ,   South Ural State Agrarian University, Menshenin Alexander S. ,   South Ural State Agrarian University, Chokoy Stepan A. ,   South Ural State Agrarian University
Published: August 2024

The operation of the internal combustion engine in areas of poor and rich mixture is characterized by a decrease in the efficiency of the catalytic converter and increase in the degree of wear of the system of elements fuel supply systems, ignition and antitoxic systems. Current trends of shifting the operation of the internal combustion engine to the area of poor mixtures. leads to increased emissions of NO and CO2, deterioration of the combustion process. The diagnostic parameters, which are free oxygen and the excess air coefficient, were theoretically determined and selected for the research. The regularity of the change in O2 at 20 % and 40 % of the throttle opening from the resistance of the exhaust tract and the spark plug gap with varying injection time duration has been established. Experimental control of the parameter l showed a trend of having a maximum in the zone of injection durations, and a gradual decrease when shifting to the zone of long injection durations to the limits of the efficiency of the internal combustion engine. An increase in the resistance of the exhaust tract leads to an equidistant shift of the characteristics l upwards into the zone of large values l while significantly reducing the range of the engine performance.
Research on the application of LoRa modulation in railway transport
Authors:   Ural State University of Railway Transport, Popov Anton N. , Vershinin Ilya D. ,   Ural State University of Railway Transport
Published: August 2024

The article considers the possibility of using Internet of Things (IoT) technology in railway transport, and considers Long Range modulation (LoRa). The advantages and disadvantage for use of this type of modulation in railway transport are analyzed. The principle of operation of linear frequency modulation used in LoRaWAN technology is considered. Formulas are given for calculating the power loss of the radio signal on the radio path, as well as other parameters for determining the level of the useful signal depending on the distance of the LoRa base station. The range of action is considered depending on the spread factor. The calculations were carried out using the empirical Hata model and adapted for the railway station. Based on the results of mathematical calculations, a graph of the dependence of the useful signal level on the distance of the base station is constructed.
Selection and verification of the method of schematization in the random process of loading springs for axle box suspension
Authors:   Ural State University of Railway Transport, Smolyaninov A. V. , Duvanov D. V. ,   Ural State University of Railway Transport, Kolyasov K. M. ,   Ural State University of Railway Transport
Published: August 2024

The product life cycle contract also contains its cost for the preparation of the product, delivery to the supplier, subsequent maintenance, operation and repair of the product up to disposal. The article considers the development of a methodology for calculating the life cycle of axle box suspension springs (and later frames) of the Lastochka electric train trolley. The method of analysis is based on the assessment of the spring strength and the results of strength tests obtained during sea trials. These tests have been carried out on separate operating sections of railways, based on the results of data from the removed blocks of oscillograms recording forces from models of electric train bogies of virtual sea trials. Virtual sea trials have been conducted on certain created sections of the track, taking into account the horizontal and vertical irregularities of the track for different track conditions. The paper analyzes the tutorials on the methods for schematization of test results in the form of oscillograms recording the forces of random processes; the method of falling rain is used. The implementation in the software product of the methodology for analyzing the stress-strain state of box suspension springs and the results of sea trials, which have been proceed by the falling rain method, allows us to determine the actual service life of box suspension springs.
The technology of creating a railway tour
Authors:   Ural State University of Railway Transport, Parshina V. S.
Published: August 2024

Nowadays the current situation in the world makes domestic tourism the most relevant type of tourism for our country, and therefore there is a tendency for the development of railway tours. The purpose of the study is creating tourist railway trips. The subject of the research is the technology of designing railway tours. The mentioned statistics demonstrate the insufficient eye of rail transport for tourist trips in comparison with automobile and air transport. The place of the Russian Federation in the ranking of countries in terms of tourist passenger traffic has been shown. A generalization of the problems hindering the development of railway tourism has been carried out. Thanks to the generated list of factors significant to customers we have chosen a travel route and identified 10 priority routes for locals under study. The technology of selecting promising touristic routes and directions for improving the organization of tourist trips along the same road has been presented. This technology is a result of an assessment of their competitiveness based on the survey of passengers of specific railway routes in the region. The obtained research results can be used to justify the choice of an option when developing travel railway routes. Using the passengers’ opinions on certain routes of a particular region allows us to offer railway tours that are in demand.
Dry Port Ekaterinburg – The Base of New Transport-Logistics Architecture of Russian Federation
Authors:   Urals Logistic Association, Zhuravskaya Marina A. , Chagin Victor M. ,   Ural State University of Railway Transport
Published: August 2024

The article is an overview on the bases of the analyses of scientific literary sources and the materials of several round tables dedicated to the problems of the infrastructural project “Dry Port Ekaterinburg” development. The project potentials, advantages, and problems have been formulated. The problem of complexed formation of railway networks in the Ural-Arctic area aimed to create strategic railway facilities which would provide the system of way-outs to the North Sea Rout has been considered. The main idea - transport logistics architecture of the country should be changed under a complex approach for the development of different level territories and guarantee transport sovereignty of Russian Federation. The project “Dry Port Ekaterinburg” is becoming an important step of this change.
Study of the infl uence of socially oriented speed and kinetic energy on the decreasing accident rate in the system “person – car – road – environment”
Authors:   Research and Analysis Centre for Integrated Transport Solutions, Chebotaev Alik A. , Ivakhnenko Andrey M. ,   Moscow Automobile and Road Construction State Technical University (MADI), Oshorova Valeria V. ,   Russian University of Transport (MIIT), Chebotaev Dmitry A. ,   ICT Logistics
Published: August 2024

The study states that the “person - car - road - environment” system (PCRE system) is a poorly structured system. It is shown that the driver with his psychophysiological characteristics and temperament is the main participant influencing the safety of the PCRE system. The socially oriented speed chosen by drivers in a double dimension made it possible to perform experimental calculations of road safety parameters. The search for a possible decreasing accident rate in Moscow car traffic urged the extrapolation of existing road accident into an S-shaped theoretical model with an inflection point in 2026.
Application of neural networks for diagnostics of contact network devices: modern approaches and prospects
Authors:   Ural State University of Railway Transport, Bojchuk Aleksandr A. , Galkin Aleksandr G. ,   Ural State University of Railway Transport
Published: August 2024

The article discusses the prospects of using neural networks for information processing in the field of diagnostics of contact network devices. An overview of software and modern methods using neural networks has been presented, an analysis of software complexes based on fundamentally new methods of data processing obtained during the diagnosis of a contact network has been carried out. For further research, promising software solutions used for analyzing photo and video files have been noted: OpenCV, TensorFlow Object Detection API, YOLO, Amazon Rekognition Video и IBM Watson Visual Recognition.
Methodology of diagnostic tests for centrifuged reinforced concrete supports of the contact network
Authors:   Ural State University of Railway Transport, Kovalev Aleksej A. , Maksimov Andrej A. ,   Ural State University of Railway Transport, Mikava Aleksandr V. ,   Ural State University of Railway Transport
Published: August 2024

The article discusses various methods of non-destructive diagnostics of defects in contact network supports, examines the principles of operation of existing diagnostic methods, gives the reasons for the appearance of defects in reinforced concrete pillars, and proposes a conceptual idea for a diagnostic test journal based on a local QR code.
Linear load as a factor in increasing the carrying capacity of railways
Authors:   Ural State University of Railway Transport, Smol'yaninov Aleksandr V. , Baranov Dmitrij A. ,   Ural State University of Railway Transport, Kolyasov Konstantin M. ,   Ural State University of Railway Transport
Published: August 2024

The article analyzes constructive solutions in car building aimed at increasing the running load. One of the first design solutions was to reduce the length of the covered wagon along the coupling axes by 360 mm, which led to an increase in the weight of the train by 150 tons. The design of cargo gondolas in the size of the TPR with an axial load of 25 and 27 tc made it possible to reduce the length of the wagon along the coupling axes from 13.29 to 12.1 m. In this case, 81 wagons of the TPR size with a train weight of up to 8,200 tons will be located on the length of the train out of 71 typical innovative wagons. Recently, projects of eight-axle gondola cars have been developed, consisting of two sections facing each other, connected by a coupling device with absorbing devices. The eight-axle semi-rigid couplings are inscribed in the 1-T and TPR dimensions. The length of gondola cars along the coupling axes is 24.7 and 21.96 m, while the running load is 8,036 (train weight 8 thousand tons) and 9,107 t/m (train weight 9 thousand tons), which allows to increase the carrying capacity of railways by 12.6 and 26%, respectively.
Modeling the volume of shipments for urban public transport
Authors:   Ural State University of Railway Transport, Martynenko Aleksandr V. , Plotnikov Daniil S. ,   Ural State University of Railway Transport
Published: August 2024

Organizing the effective operation of urban public transport and planning the development of transport infrastructure requires predicting the volume of passenger traffic. In particular, it needs to predict the volume of passenger departures from stopping points, which depends on a large number of different factors, such as the population density near the stopping point, the types of transport departing from it, the number of routes passing through it, etc. In this article, we propose modeling outgoing passenger traffic based on a regression approach. To test the approach and determine the most appropriate specifications for regression equations, data on passenger boarding volumes at bus stops in Ekaterinburg, as well as open data from the database of apartment buildings, were used.
PERFIL DE ESTUDANTES SURDOS DO ATUAL INSTITUTONACIONAL DE EDUCAÇÃO DOS SURDOSNO PERÍODO DE 1856 A 1873
Authors: Knapik Danilo da Silva
Published: August 2024

Este trabalho teve o objetivo de conhecer o perfi l de estudantes surdos, no período de 1856 a 1873, do atual Instituto Nacional da Educação de Surdos – INES. Os dados foram coletados em  diversos documentos disponíveis nos seguintes acervos: Instituto Nacional de Educação de Surdos  (INES); Biblioteca Nacional; The Center for Research Libraries (CRL); Arquivo Nacional. Foram  sistematizados e organizados os dados em categorias de acordo com o tema: matrícula; origem familiar e geográfica; causas da surdez; gênero; proventos das pensões; entrada, permanência e saída de estudantes. Os resultados demonstram a presença de 63 estudantes surdos no período escolhido, sendo que a maioria era do sexo masculino, originária do Rio de Janeiro, recebia as pensões do governo e estudou na escola por mais de seis anos do período previsto, mesmo que muitos não tenham concluído seus estudos.
O QUE TORNA UM ACERVO RARO? CONSIDERAÇÕESSOBRE O ACERVO HISTÓRICO DO INSTITUTONACIONAL DE EDUCAÇÃO DE SURDOS
Authors: Mazzo da Costa Andréa Carla , Solange Maria da Rocha
Published: August 2024

Este trabalho busca contribuir com as discussões sobre critérios qualificadores de raridades, preciosidades e singularidades,  partindo do exame de itens do Acervo Histórico do Instituto Nacional de Educação de Surdos. O Acervo integra itens  museológicos, arquivísticos e bibliográficos produzidos desde a sua fundação, em 1856. Neste estudo destacamos algumas  obras do acervo bibliográfico. Para a seleção das obras que consideramos singulares, preciosas e raras, recorremos à  bibliografia especializada, nas diretrizes da Biblioteca Nacional e aos critérios desenvolvidos pela equipe composta por uma  bibliotecária e uma historiadora e curadora do espaço. O acesso às fontes disponíveis no Acervo Histórico do INES fornece  subsídios para que surdos e ouvintes compreendam as implicações filosóficas, linguísticas, pedagógicas e políticas que fizeram parte do processo educacional do alunado surdo ao longo de séculos. Portanto, ele deve ser preservado, de modo a garantir que o público terá contato com a memória guardada naquele espaço tão precioso.
Recorriendo una identidad por la Amazonia
Authors: García Corzo Luís Alejandro
Published: August 2024

Cuatro etnias en diferentes puntos geográficos del Amazonas, en cuatro países: Bolivia, Brasil, Colombia y Venezuela y de diferentes familias lingüísticas se les ha asignado el mismo nombre. El presente artículo, a través de la etnografía y la descripción documental, tiene el propósito de recabar en el significado del nombre como sentido de origen e identidad del pueblo Tubú Humuri Massa, de igual forma en profundizar en el ejercicio de las ciencias sociales y la antropología frente a la asignación de términos a los pueblos indígenas de la Amazonia a partir del nombre asignado, como el caso de los Siriano, que ha constituido una forma ideologizada de resolución de identidades y dinámicas desconocidas frente a la otredad. Retomar el nombre implica para muchos pueblos, además de fortalecer el idioma propio, la postura que se quiere asumir frente a occidente.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT MASYARAKAT MENABUNG DI BANK SYARIAH (Studi pada Masyarakat Desa Lajut Kecamatan Praya Tengah)
Authors: Muzakkir Andre , Yunia Ulfa Variana  , Tsalasatul Fitriyah Any , Suriani
Published: August 2024

This study was conducted to find out: whether factor of trust, perception, knowledge and promotion influence partially and simultaneously on the interest of people saving in Islamic banks. This research is a quantitative study using primary data by providing questionnaires to the community in Lajut Village, Praya Tengah District, with a sample of 100 respondents. The analysis technique used is multiple regression analysis techniques.
Based on the results of the hypothesis test, the results of partial research (t test) are confirmed (X1), perception (X2), and promotion (X4) have a significant and positive effect on community interest in saving in Islamic banks with a significance level of 0.028, 0.002 and 0.000 temporarily For the Knowledge Variable (X3) has no significant effect with a significance value of 0.356. The results of research simultaneously (test f) obtained a variable trust, perception, knowledge and promotion significantly influence public interest with a significance value of 0,000.
DEMOCRATIC DIALOGUE OR POLITICAL PERFORMANCE? ANALYZING ANIES' URGENCY THROUGH THE LENS OF DELIBERATIVE DEMOCRACY
Authors: Habibur Rohman Habibur Rohman , Rizal Al Hamid
Published: August 2024

Desak Anies, as a political initiative led by Governor Anies Baswedan, it is the focus of research within the conceptual framework of deliberative democracy, which emphasizes the importance of broad, independent, and critical public participation in the political decision-making process. Through a descriptive-analytical approach, This study investigates Desak Anies from the perspective of deliberative democracy. Data on public participation and active participation invitations from Anies Baswedan were analyzed to understand the extent to which Desak Anies reflects an independent and critical public space. Even though Desak Anies encouraging public participation, further evaluation is needed to ensure that available public spaces support open discussion, equitable inclusion of different segments of society, and in-depth consideration of diverse views. This research provides in-depth insight into the role of Desak Anies in strengthening the principles of deliberative democracy in the context of contemporary politics. In addition, the study provides a basis for further reflection and improvement in democratic public participation, affirming the importance of strengthening public spaces to support a healthy and inclusive democratic process.