bluuebunny/crossref_metadata_2025 huggingface dataset:
Economic Assessment of Seasonal Unevenness in Railway Infrastructure Loading
Authors: Macheret D. A. , Razuvaev A. D. , Ledney A. Yu.
Published: December 2020

The article considers the problem of seasonal uneven transportation and its impact on transport infrastructure loading. The objective of the study is to develop scientifically sound recommendations for monitoring seasonal unevenness of transportation and infrastructure loading based on its adequate assessment; conducting economic assessment of the impact of seasonality of transportation on the indicators of current and investment activity of railway transport; making recommendations to further reduce unevenness of transportation, or at least prevent its growth. The authors solved the following tasks: a reasoned, logically structured sequence of economic assessment of the impact of seasonality of transportation on the indicators of current and investment activities of railway transport was formed, and scientifically based recommendations were proposed to further reduce uneven transportation (toprevent its growth). The following methods were used: logical and analytical tools, methods of statistical analysis, economic-mathematical modelling and technical and economic calculations. As a result of the study, the authors revealed that seasonal uneven loading of railway infrastructure leads to a decrease in quality of transportation and a deterioration in the market image of the railway industry, an increase in operating costs and cost of transportation, that is, to a decrease in efficiency and competitiveness of railways. The uneven transportation negatively affects the effectiveness of investments in development of railway transport. The analysis made it possible to formulate a theoretical model of influence of seasonal unevenness of railway infrastructure loading on efficiency of its use and development. It is advisable to use the methodological toolkit for assessing seasonal unevenness of railway infrastructure loading for its in-depth retrospective analysis, identifying the main factors affecting unevenness indicators and determining the maximum permissible level of seasonal unevenness. The developed model of influence of seasonal unevenness of loading on use and development of railway infrastructure allows to carry out economic assessment of seasonal unevenness, is a tool to improve planning and management of transportation activities and development of railways. The reduction in seasonal unevenness of transportation should be considered as a factor increasing the economic efficiency of not only the current, but also investment activity of the railway transport, while its growth should be considered as a specific type of risk for effectiveness of implementation of railway infrastructure development projects.
Framing Immigration and Illegal Immigration in the 2016 Presidential Campaigns: Comparing Donald Trump and Bernie Sander’s Position
Authors: YANG JIN
Published: December 2020

This study compared the U.S. TV news coverage of Donald Trump’s and Bernie Sanders’ talking points on immigration in the 2016 presidential campaign. Utilizing six common frames on immigration in general and adopting framing’s function approach (which consists of definition, causes and solutions aspects of an issue or a topic under discussion) to illegal immigration, the study content analyzed 153 TV news transcripts. Trump's talking points highlighted the claim that immigrants were dangerous because they brought crimes to U.S., and they had to be deported and borders must be secured. Sanders’ talking points emphasized the idea of a nation of immigrants where even illegal immigrants should be entitled to basic human rights, and immigration reform constituted a better solution. The causes for illegal immigration, however, were largely marginalized in the TV news coverage. Keywords: Framing immigration, framing illegal immigration, framing’s function approach, 2016 U.S. presidential campaign, U.S. TV news coverage of election
Value-Based Communication during Covid-19 Pandemic: A Study on the Twitter Messages of Turkish Ministry of Health
Authors: MENGU SEDA , MENGU MURAT , GUNAY KEMAL
Published: December 2020

Influencing the whole world by obliging people to change their daily practices along with their relations and assume different life styles, Covid-19 has brought about some likely deleterious effects in Turkey as well. Undoubtedly, it has caused disturbance and even panic in social and psychological sense. In such cases of uncertainty and panic, communication with the public should be clear, explicit, alleviating and to some extent, guiding. People can be guided and convinced more easily if the level of distress and uncertainty decreases. Such a way of governing and compelling communication consists of different directions, requirements and combined effort. If co-operation is appropriately based on values, this process will be much easier. To that end, public discourse during the outbreak of the pandemic in 2019 was as successful as it was based on the daily life and language of society. Noteworthy, there are similarities between value-based collaboration and governmentality. Policies, customs, patterns and guidelines help maintain control and guidance over collaboration. At this point cooperation acts as a matter of participating in language games that build social and organisational realities that are created, debated, distributed and changed by means of mutual action and cooperation. The purpose of this study is to analyse the messages sent by the Ministry of Health during the pandemic in Turkey via social media, particularly Twitter, in order to find out to which extent these messages encompass the features of value-based communication. Thus, discourse analysis and descriptive research model are going to be implemented together. More specifically, the first tweet in which Corona was first referred was sent on January 25, 2020 and from then on 505 Tweets were posted. For the discourse analysis, 100 tweets that have received the most interaction are going to be used. As for the other descriptive analyses; on the other hand, all 505 tweets are going to be utilized in cluster analysis. Keywords: value-based communication, discourse, social media, pandemic
Diseño de los programas Beca Salario y Jóvenes Escribiendo el Futuro
Authors: Aguirre Salgado José Carlos
Published: December 2020

La Asociación Nacional de Instituciones y Universidades de Educación Superior (ANUIES) explica que, desde que México se unió a la Organización para la Cooperación y el Desarrollo Económicos (OCDE) en 1994, se ha generado mayor índice de desigualdad económica y la tasa más escasa de cobertura de educación superior, colocándose en un lugar bajo en el indicador en el promedio ponderado en Latinoamérica. Es por eso que esté artículo explica el objetivo principal que tiene la nueva beca Jóvenes Escribiendo el Futuro, que es disminuir la deserción escolar por motivos ecónomicos de estudiantes en el nivel superior de instituciones públicas durante el périodo 2018-2024, haciendo una comparación con una beca anterior llamada Beca Salario, la cual le asemejaba en el objetivo de la beca actual, pero con un monto menor a ésta.
Mito y racionalidad, la ruptura de Caravaggio
Authors: Cruz Revueltas Juan Cristóbal , López Pedraza Martha Elisa
Published: December 2020

La pregunta sobre el papel que juega el mito ha sido una interrogante central al menos desde la evocación de “la caverna” por Platón. Si le creemos a Hans Blumenberg, al mito no se le puede relegar a la figura de aquello opuesto a la razón. De acuerdo con el filósofo alemán, en realidad hay una continuidad funcional entre imagen, metáfora, mito y razón: su objetivo común es el de neutralizar lo que él denomina “el absolutismo de la realidad”. En otras palabras, al igual que pasamos de la angustía ante lo desconocido al simple temor ante lo conocido, ellas comparten la función de ser medios para conjurar los terrores de la realidad confiriéndoles ya sea una imagen, un nombre o sometiéndolos a una categoría. Ahora bien, si estas simulitudes no impiden que E. Cassirer sostenga el deseable sobrepasamiento del mito por la razón, Blumenberg considera que el mito es insuperable. Y sin embargo, este defensor del mito que es Blumenberg no puede dejar de reconocer que también puede constituir un peligro. Como veremos a continuación apoyándonos en la figura de la Medusa, este problema no podía dejar de plantearse durante el Renacimiento, época en la que, a la vez, reaparecen la fuerza fecunda del mito y la voluntad de racionalizar la experiencia de la racionalidad.
Sobre el poder y la identidad docente
Authors: Anaya Torres Edgar Daniel
Published: December 2020

El trabajo tiene como objetivo describir, en sentido teórico interpretativo, la forma en que los docentes, al asumir su identidad, adquieren un conjunto de narrativas, conductas y prácticas que fungen como brújula para actuar dentro de su labor en la vida cotidiana; dicha identidad, se encuentra trazada por el momento histórico, social, político; y tienen un impacto en el trabajo cotidiano docente, para explicar este punto se utiliza una metáfora que entrama diferentes momentos desde la modernidad a la posmodernidad . El apartado teórico define a la identidad desde Theodor Adorno, para unirlo con el concepto de poder de Michel Foucault, y contextualizarlo con la vida cotidiana a partir de Agnes Heller. Para abordar el problema, se realiza una revisión teórica con una búsqueda epistémica, se utiliza como unidad de análisis la identidad, y como categorías: discurso, poder, lenguaje y vida cotidiana. En la discusión se construye un andamio de elementos teóricos para proponer puntos de fuga, lo cual implica encontrar espacios donde la identidad docente rompa mediante creatividad, narrativas, estética, para generar la posibilidad de resignificar la práctica docente desde la reconstrucción de subjetividades.
Políticas de internacionalización en una universidad del sureste de México
Authors: Peralta Mazariego Enrique , Silva Payró Martha Patricia , López González Hugo Enrique
Published: December 2020

El presente estudio revisa la situación actual de una institución de educación superior (IES) del sureste de México, tomando en consideración el grado de implementación de políticas internacionales, nacionales y estatales en la educación terciaria. Esta ies tiene como uno de sus ejes rectores la calidad educativa para lograr la internacionalización, debido a que éste es el mecanismo por el cual se logra tener impacto y reconocimiento internacional. Se realizó una investigación cuantitativa de tipo descriptivo y documental, sustentada en una revisión del estado del arte y el análisis de documentos sobre internacionalización, informes de la institución y políticas educativas de los distintos niveles de gobierno. La IES cuenta con políticas de internacionalización como eje transversal en su Plan de Desarrollo Institucional (PDI); hay esfuerzos por posicionarla en el nivel internacional, principalmente a través de profesores que han formado redes de colaboración para la investigación, y se ha mejorado la calidad educativa en la búsqueda de estudiantes extranjeros y en beneficio de los nacionales, docentes y personal administrativo.
Perspectiva del desarrollo empresarial fitness en Acapulco, México
Authors: Román Miranda Ana Laura , Lezama Ruiz Noemí , Maldonado Astudillo Yan Pallac
Published: December 2020

En México, el sobrepeso y la obesidad afectan a siete de cada diez adultos. Estas tendencias propiciaron que el número de gimnasios pasara, de 2200 en 2010, a 7826 en 2012. Sin embargo, la permanencia de los socios es una problemática inherente al sector. La investigación tiene como objetivo identificar un modelo de gestión empresarial fitness que impacte en la retención de socios. El desarrollo empresarial fitness se determinó a través de la gestión, servicio, comunicación, recursos humanos e instalaciones. Se recopilan entrevistas a profesionales del acondicionamiento físico y socios activos. Para el análisis de datos se utilizó la estadística descriptiva. Se encontró que el sector está dominado por el sexo femenino y el 70% de la población permanece por un periodo no mayor a siete meses. La gestión empresarial se centró en el coach, por el contacto directo, la comunicación a través de redes sociales y el servicio con horarios y días definidos. Las empresas muestran una rentabilidad de hasta el 69%, lo cual las convierte en una oportunidad de autonegocio para personas vinculadas con el sector.
Difusión de estufas ahorradoras de leña en Santo Domingo Ocotitlán, Tepoztlán
Authors: Montes de Oca Erika Román , Frías Álvarez Karina Lizzet , Licea Resendiz Jesús Eduardo , Ayala Enríquez María Inés
Published: December 2020

A partir del descubrimiento de los problemas tanto de salud como ambientales que causa la utilización de fogones dentro de las cocinas de las familias rurales por el uso de la madera como combustible, se han implementado diferentes estrategias para disminuir o eliminar el humo. Una de las tecnologías empleadas son las estufas ahorradoras de leña. Las personas que más sufren enfermedades a causa del uso de estos fogones son las amas de casa, ya que pasan muchas horas dentro de la cocina y con el paso del tiempo se les diagnostican enfermedades de la vista y pulmonares gracias al humo. Por eso se le da la importancia para que las familias de zonas rurares conozcan las alternativas que existen e implementen estufas ahorradoras de leña, además de que también se contribuye al cuidado del medio ambiente y a la conservación de bosques en nuestro país.
Riesgos del conocimiento tradicional de anfibios y reptiles de la Sierra de Montenegro
Authors: García Flores Alejandro , Monroy Martínez Rafael , Monroy Ortiz Columba
Published: December 2020

Se hizo una investigación en la Reserva Estatal Sierra de Montenegro (resmn), la cual está ubicada en el estado de Morelos. Se trata de un área natural protegida que cuenta con una extensión de 7329 hectáreas (ha), dos zonas núcleo de Montenegro con 478 ha y las Trincheras con 1113 ha, y una zona de amortiguamiento de 5739 ha. El objetivo de esta investigación era dar seguimiento al tema de los riesgos en los que se encuentran los anfibios y reptiles frente a la política económica y la falta de planificación urbana. Esto trae como consecuencia los cambios de uso de suelo de la cubierta vegetal. El análisis se vincula con el tema del cambio climático y las repercusiones que tienen las especies antes mencionadas.
Analysis of the actions of NPP personnel in making decisions
Authors: Berberova Maria , Hakimova Aida , Zolotarev Oleg
Published: December 2020

The operational experience of nuclear facilities shows that personnel reliability has a significant impact on safety. We consider the reliability of the staff as the property (ability) of the staff to accurately and timely perform the necessary actions prescribed by the operating instructions, both during normal operation and in an accident. Personnel Reliability Analysis (PRA) is one of the significant tasks of probabilistic safety analysis. There are problem situations at NPP: the analysis methods and techniques used, the variety of solving tasks, the wide range and diverse nature of errors that a human operator can potentially make, the numerous factors affecting the probability of a particular error. All this makes it necessary to develop an automated personnel reliability analysis system that can support a specialist performing probabilistic safety analysis (PSA) in terms of performing the reliability analysis of the human operator, to ensure the required accuracy, quality and completeness of the results of the personnel reliability analysis.
Application of bionic models for situation management
Authors: Gerget Olga , Markova Nataliia
Published: December 2020

The article discusses the concept of choosing the sequence of control actions in order to minimize the possibility of the system state transition to an adverse one. For this purpose, the bionic model based on the synthesis of information approach, neural networks and a genetic algorithm is developed. The functionality of each of the model elements and their interaction are presented in this paper. Special attention is paid to neuroevolutionary interaction. At the same time, information about control actions is encapsulated in the gene, which allowed increasing the functionality of the algorithm due to multidimensional data representation. The article describes the principle of data representation in bionic models, which differs from the existing ones by the possibility of explicit or implicit representation of the control action in the chromosome. In the explicit representation one neural network is formed, it describes the effect of any of the control actions involved in the training. An implicit view creates a set of models, each of which describes the effect of only one control action. A brief description of the software implemented in the Python programming language is provided.
Direct calculation of the optimal weight for MIS
Authors: Ershov Sergey , Voloboy Alexey , Zhdanov Dmitriy , Zhdanov Andrey , Frolov Vladimir
Published: December 2020

A Monte-Carlo ray tracing is nowadays standard approach for lighting simulation and generation of realistic images. A widely used method for noise reduction in Monte-Carlo ray tracing is combing different means of sampling, known as Multiple Importance Sampling (MIS). For bi-directional Monte-Carlo ray tracing with photon maps (BDPM) the join paths are obtained by merging camera and light sub-paths. Since several light paths are checked against the same camera path and vice versa, the join paths obtained are not statistically independent. Thus the noise in this method does not obey the laws which are correct in simple classic Monte-Carlo with independent samples. And, correspondingly, the MIS weights that minimize that noise must also be calculated differently. In this paper we calculate these weights for a simple model scene directly minimizing the noise of calculation. This is a pure direct numerical minimization that does not involve any doubtful hypothesis or approximations. We show that the weights obtained are qualitatively different from those calculated from classic “balance heuristic” for Monte-Carlo with independent samples. They depend on the scene distance, but not only on scattering properties of the surfaces and the distribution of light source emission.
Analysis of PSC Gross Split Implementation in Russian Offshore
Authors: Ozdoeva Alina , Kiat Mukhammad , Ilyukhin Savelii
Published: December 2020

Product Sharing Contract with Gross Split scheme come up as an alternative solution for developing a healthy, fair and sustainable international oil and gas cooperation in Russian offshore. In the application, benefits will be optimal for all parties if all legal requirements and business interests are met. Regarding that, the monitoring process on PSC GS implementation is as crucial as the negotiation process in making suitable terms and conditions for both parties. However, the real problem is negotiation participants (representatives of parties) are not fully aware of all PSC elements, which causes long, uncertain, and repetitive discussion or even results in unfair domination of one party over another. This paper shows the design of the tree and expert analysis to help all parties understand PSC elements, sensitivities, and their interactions before entering negotiation process. The methodology used is a theoretical survey (analysis & synthesis) based on world practices and Russian economical, technical, and geological characteristics. The result depicts both analyses are important materials to prepare all parties for the effective decision making process as well as support the establishment of win-win contract details.
Formation of multilevel system to counteract computer attacks
Authors: Minaev Vladimir , Koryachko Vyacheslav , Bondar Konstantin
Published: December 2020

The main trend relating to state structures and large corporations is to build Information Security Monitoring Centers the key elements of which being SIEM-systems and SOC-Centers. Speaking about SOC-Centers the task of human resources optimal allocation among information security incident reporting lines taking into consideration staff competency and line capacity seems to be urgent. This task is solved in the article given. In general, the formulation of the task presented means the functioning of SOC-Center as a new mathematical model making use of “input – resources – output” terms. The target function of SOC-Center is built in an assumption of stationarity and independency of service reporting lines as a sum of their target functions. The main idea of human resources management in this case is the aspiration to achieve maximum significance of SOC-Center system aim, i.e. its general target function when organizing the fight with computer attacks. The problem was solved by Lagrange multiplier method. The expressions for optimal allocation of human resources on SOC-center service lines leading to maximum processing of message flow related to computer attacks have been received. The conclusion about this model being useful for transferring from stationary flows to their dynamic changes in SOC-Center resource provision including new different critical situations in computer system has been made.
Procedural interior generation for artificial intelligence training and computer graphics
Authors: Feklisov Egor , Zinderenko Mihail , Frolov Vladimir
Published: December 2020

Since the creation of computers, there has been a lingering problem of data storing and creation for various tasks. In terms of computer graphics and video games, there has been a constant need in assets. Although nowadays the issue of space is not one of the developers' prime concerns, the need in being able to automate asset creation is still relevant. The graphical fidelity, that the modern audiences and applications demand requires a lot of work on the artists' and designers' front, which costs a lot. The automatic generation of 3D scenes is of critical importance in the tasks of Artificial Intelligent (AI) robotics training, where the amount of generated data during training cannot even be viewed by a single person due to the large amount of data needed for machine learning algorithms. A completely separate, but nevertheless necessary task for an integrated solution, is furniture generation and placement, material and lighting randomisation. In this paper we propose interior generator for computer graphics and robotics learning applications. The suggested framework is able to generate and render interiors with furniture at photo-realistic quality. We combined the existing algorithms for generating plans and arranging interiors and then finally add material and lighting randomization. Our solution contains semantic database of 3D models and materials, which allows generator to get realistic scenes with randomization and per-pixel mask for training detection and segmentation algorithms.
The hybrid classifier for the task of career guidance testing
Authors: Tarasova Iuliia , Andreev Vyacheslav , Ainbinder Roman , Toskin Denis
Published: December 2020

Career guidance testing assumes the presence of several types of individuals, and in the case when the output data of testing are images that characterize certain qualities of the subjects – several types (classes) of images. The image classes includes of selected searchable elements that determine whether an image belongs to a particular selected type (class). There is a ColourUnique M software module that allows you to automate the process of testing and saving test forms. The functions of the classifier are still performed by an expert (teacher or psychologist), which implies errors in evaluating the result due to individual characteristics of human perception, which can negatively affect the reliability of the classification. The paper considers two algorithms for evaluating images (the made test forms), one of which is a neural network, and the second is a filtering algorithm with hard – defined areas for determining the desired elements. During the implementing of these algorithms, a number of problems arose. The classifier is created in order to improve the accuracy of classification, both in comparison with expert assessment and with the first experimental data obtained. For achieve of the most reliable classification results, the authors consider the possibility of implementing a hybrid classifier for career guidance tasks.
Effective technology to visualize virtual environment using 360-degree video based on cubemap projection
Authors: Mikhaylyuk Mikhail , Timokhin Petr
Published: December 2020

The paper dealt with the task of increasing the efficiency of high-quality visualization of virtual environment (VE), based on video with a 360-degree view, created using cubemap projection. Such a visualization needs VE images on cube faces to be of high resolution, which prevents a smooth change of frames. To solve this task, an effective technology to extract and visualize visible faces of the cube is proposed, which allows the amount of data sent to graphics card to be significantly reduced without any loss of visual quality. The paper proposes algorithms for extracting visible faces that take into account all possible cases of hitting / missing cube edges in the camera field of view. Based on the obtained technology and algorithms, a program complex was implemented, and it was tested on 360-video of a virtual experiment to observe the Earth from space. Testing confirmed the effectiveness of the developed technology and algorithms in solving the task. The results can be applied in various fields of scientific visualization, in the construction of virtual environment systems, video simulators, virtual laboratories, in educational applications, etc.
Threat prediction in complex distributed systems using artificial neural network technology
Authors: Palchevsky Evgeny , Khristodulo Olga , Pavlov Sergey
Published: December 2020

In the context of this article, a method for detecting threats based on their forecasting and development in complex distributed systems is proposed. Initially, the relevance of the research topic is substantiated from the point of view of the prospective use of various methods in the framework of threat management and their forecasting in complex distributed systems. Based on the analysis of these methods, a proprietary forecasting method based on the second generation recurrent neural network (RNN) was proposed. The mathematical formulation of the problem is presented, as well as the structure of this neural network and its mathematical model of self-learning, which allows achieving more accurate (with less error) results in the framework of threat prediction (in this case, the level of water rise at gauging stations) in complex distributed systems. An analysis was also made of the effectiveness of the existing and proposed forecasting methods, which showed the stability of the neural network in relation to other forecasting methods: the error of the neural network is 3-20% of actual (real) water levels; the least squares method reaches up to 34.5%, the numerical method in a generalized form - up to 36%; linear regression model – up to 47.5%. Thus, the neural network allows a fairly stable forecast of the flood situation over several days, which allows special services to carry out flood control measures.
Hydrocarbon field development forecast based on an integrated approach
Authors: Zavyalov Dmitry
Published: December 2020

A hydrocarbon field is a large and complex system, which functioning is possible only in accordance with a project document that defines the main characteristics for the entire period of field development. Therefore, the quality of the project document largely determines the efficiency of the field system functioning. The last stage in creating a project document for the development of a field is an economic assessment. According to the experience of designing the development of hydrocarbon fields, up to 50% of capital investments are the costs of drilling new wells of various types. Thus, the economic efficiency of field development is largely determined by the volume of drilling new wells. The article presents an integrated approach to modeling the development of hydrocarbon deposits in making a production forecast. Such an integrated approach involves performing a rapid economic assessment using Economics software which allows you to calculate the main economic indicators of field development. Thus, it reduces the total number of iterations for setting the forecast for field development strategy by an average of 25% as well as improves the economic characteristics of the whole project.
Network Approach for Visualizing the Evolution of the Research of Cross-lingual Semantic Similarity
Authors: Hakimova Aida
Published: December 2020

The paper is devoted to the problem of the bibliometric study of publications on the topic “Cross-lingual Semantic Similarity”, available in the Dimensions database. Visualization of scientific networks showed fragmentation of research, limited interaction of organizations. Leading countries, leading organizations and authors are highlighted. Overlay visualization allowed us to assess the trends in citing authors. The expansion of the geography of research is shown. For international cooperation, the uniformity of semantic approaches to describing the concepts of critical infrastructure, incidents, resources and services related to their maintenance and protection is important. The stated approaches can be applied for visualization and modeling of technological development in the modern digital world. Semantic similarity is a longstanding problem in natural language processing (NLP). The semantic similarity between two words represents the semantic proximity (or semantic distance) between two words or concepts. This is an important problem in natural language processing, as it plays an important role in finding information, extracting information, text mining, web mining and many other applications.
Citizens’ digital infrastructure as a new element of modern society critical infrastructure
Authors: Reingold Leonid , Solovev Aleksandr , Grin Oleg , Reingold Elena
Published: December 2020

Widespread digitalization of the modern society - the emergence of digital devices, the introduction of Internet of Things, the development of Big Data processing and other technologies result in new challenges. Not only industrial and corporate automation that has already been considerably covered by the legislation initiatives but also the digitalization of everyday life has started to constitute a critical infrastructure in the modern society. This largely happens because digital devices substituting traditional technologies owned by citizens are incorporated into corporate, financial and state business processes. For instance, citizens’ devices are becoming the source of primary data for energy and utility companies. More opportunities for the direct interaction of automation solutions between themselves resulting in a controversial synergy effect have been emerging recently. The article addresses specifics of citizens’ digital infrastructure in the light of critical infrastructure, in particular the necessity and special aspects of legal and regulatory framework and possible development trends of this functionality.
About leak detection systems in the framework of LBB concept application at Russian NPPs
Authors: Arzhaev Alexander , Arzhaev Alexey , Makhanev Valentin , Antonov Mikhail , Emelianov Anton , Kalyutik Aleksander , Arzhaev Kirill , Denisov Ilya
Published: December 2020

Application of "leak before break" concept to reactor coolant circuit is obligatory for RF NPPs and the success depends also on fulfilment of requirements to the leak detection systems specified in RF national standard. During 1999-2020 requirements to the leak detection systems were permanently improved in regulatory documents. The most important changes in requirements have been done according to the Federal law on ensuring the uniformity of measurements. Paper gives comparative analyses of these evolutionary changes of requirements as well as details of their implementation during design and manufacturing of leak detection systems to supply NPP Units with VVER-440/1000/1200 and RBMK-1000 reactor facilities. Recently approved in the Russian Federation, the Federal norms and rules (FNR) in the field of atomic energy use ensure the continuity of the general requirements for reactor coolant leak monitoring (detection) systems (LDS) at nuclear power plants (NPPs) in relation to the previously valid regulatory documents.
The Effects of Dynamic Assessment on Reading Skill Performance: A Study of Indonesian EFL Learners
Authors: Suherman Andri
Published: December 2020

This research article aimed to analyze the effects of Dynamic Assessment (DA) on EFL learners' reading comprehension. The participants in this case study were five Indonesian tertiary-level EFL learners. It investigated whether mediation in DA improve the learners reading comprehension performances and analyzed the extent to which mediation in DA benefit learning. The research methods used were pre-test, mediation, and post-test. The findings revealed two main points. First, the result of the post-test showed an overall improvement for all five students. As indicated by the effect size (0.96) and the result of paired samples t-test (p-value = 0.0028), it can be concluded that the effect of DA on the participants’ reading skill performance was highly significant. Second, mediation in DA appeared to benefit learning with different characteristics in each student. The implications of this study were to provide practical insight to EFL teachers into how mediation can be developed to improve learners' reading skills and to inform EFL teachers with some suggestions to carry out mediations to benefit learning.
Analyzing the Readiness of Junior High School Educators In the Online Learning Implementation During Covid-19: An Interview Study
Authors: Sihombing Hulman , Pakpahan Betty A.S. , Situmorang Meditatio
Published: December 2020

This research has the purpose of finding out the ReadinessReadiness of junior high school teachers in the online learning, and efforts which are carried out as well as obstacles that are dealt with in the online learning implementation at the time of Covid-19 pandemic. The kind of research which is used is qualitative-descriptive, with the interview technique. The result of the research shows that the junior high school educators enthusiastically respond the online learning by preparing the online learning devices and promoting the change of learning system to the students, and the online learning system is executed by utilizing applications, such as short message service, Whatsapp group, Zoom, phone, or live chat. The result of this research shows that junior high school teachers are ready to implement online learning in spite of not being optimal and dealing with various obstacles.
Development Of Adaptive, Spritual, Academic And Social (ASAS) Programs In Revitalizing Social Interactions Of Students
Authors: Simbolon Elvri , Lumbantobing Roida , Simbolon Jupalman , Firmando Harisan Boni
Published: December 2020

If the diversity of a community is not managed properly, it will cause various problems that can lead to disharmony in the interaction patterns in that community. The diversity of students of the Faculty of Social Science and Christian Humaniora (FISHK) of IAKN Tarutung leads to a tendency to cause grouping and even create competition, which greatly affects the patterns of interactions among students. The purpose of this research is to develop the ASAS programs in revitalizing the social interaction patterns of students of the Faculty of Social Science and Christian Humaniora (FISHK) of IAKN Tarutung. This research method uses a quantitative description, which aims to explain events that are described in the form of Figures containing useful numbers. The four indicators for the Adaptive Program (A) show that 31.13% of respondents strongly agree to hold adaptive programs, 61.13% of respondents agree, 6.78% disagree, and 0.88% of respondents strongly disagree. The seven indicators for the Spiritual Program (S) show that 38.14% of respondents strongly agree to hold spiritual activities, 56.71% of respondents agree, 5.14% of respondents disagree, and no one strongly disagrees. The five indicators for the Academic Program (A) show that 29.4% of respondents strongly agree to hold an academic program, 61.6% of the respondents agree, 8.4% of respondents disagree, and 0.6% of the respondents strongly disagree. The four indicators for the Spiritual Program (S) show that 30.75% of respondents strongly agree to hold social activities, 60% of the respondents agree, 8.75% of respondents disagree, and less than one percent (0.5%) of respondents strongly disagree. From all the indicators in the ASAS program that have been implemented, it can be concluded that the ASAS (Adaptive, Spiritual, Academic and Social) programs can be as solutions in revitalizing interaction patterns among students and those can become references for readers or others in overcoming disharmony issues in a community.
University Student's Perception of Jeremiah in New Normal Era: The controversy of Jeremiah's Calling as A Prophet
Authors: sitorus Herowati , Gultom Rogate Artaida Tiarasi , Manullang Megawati , Sitorus Manusiar Hernawati , Sipahutar Roy Charly
Published: December 2020

This article describes how a great prophet, Jeremiah, who was chosen by God, worked among the Israelites who were living in exile. During his ministry, he received a lot of criticism from other prophets; there was a conflict in the news. In writing this article, a constructive theological approach was carried out for students in understanding the differences in the teachings conveyed by Jeremiah and the other prophets. This approach will explain how the content of Jeremiah's teaching is a message of peace that can be received by the Israelites as immigrants in a foreign land. How do students, as newcomers to a new place, adapt to the new context and lifestyle to feel peace?
Evaluation Of User Satisfaction Towards New Student Admission Website Quality
Authors: Panggabean Erika Christine , Sinambela Jerry Stevan
Published: December 2020

This study aims to evaluate the quality of the IAKN Tarutung PMB website using the WebQual approach. The population in this study were users of the IAKN Tarutung PMB website, where the total sample was 201 respondents by using purposive sampling Webqual 4.0. Webqual 4.0 consists of 4 variables, namely Usability, Information Quality, Service Interaction Quality, and Overall. The research method used is a survey with a questionnaire based on Webqual 4.0. The results of the validity and reliability tests show that all questionnaire items are valid and reliable because they meet the requirements. The results of multiple correlation analysis also indicate a strong relationship between the independent and dependent variables in this study. Moreover, based on the data analysis that Webqual can be used to analyze the quality of several websites, both internal (intranet) and external websites. So the conclusion is usability, information quality, and service interaction is jointly influence user satisfaction.
China and Indian Economic Relations: 21st Century and Impact of External Factors on It.
Authors: Khan Muhammad Fahim , . palwasha
Published: December 2020

In this modern interconnected world, states are relying on each other for their national interests in terms of economy and defense assistance. China and India are also relying on each other for their national and regional interests despite having border issues. In this research, China and Indian partnership have been view under the theoretical framework of the ‘theory of liberalism’ which highlights state relations to meet their national interests by using a descriptive research method. Also, explore the implications of external factors on the state relations, and their setbacks affect their relations under such circumstances how they will balance their relations, and gain maximum benefit from it.
Essay Kaitan Pembelajaran Bahasa Indonesia dengan Lingkungan
Authors: sudelma Briliani ferga
Published: December 2020

Lingkungan sekolah mempunyai dampak terhadap pembelajaran siswa di sekolah, karena jika lingkungan sekolah membuat siswa merasa tidak nyaman, maka siswa tersebut juga akan kekurangan fokusnya terhadap pembelajaran, dan jika siswa tersebut tidak fokus pada pembelajaran, siswa tidak akan mengerti apa yang diajari oleh guru didepan kelas. Jadi secara tidak langsung pembelajaran pada sekolah yang memiliki lingkungan yang memadai dan fasilitas yang nyaman, lebih baik daripada sekolah yang lingkungannya kotor dan fasilitasnya tidak nyaman. Menurut Mitsuki dan Lai (dalam Ramadhan et al, 2019), di seluruh dunia, setiap orang menghadapi masalah lingkungan yang serius, seperti pemanasan global, hujan asam, perusakanlapisan ozon, pencemaran lingkungan, kerusakan alam, dan hilangnya keanekaragaman hayatiyang dapat mengancam kehidupan generasi sekarang, terutama generasi mendatang.
The Relationship of Indonesian Language Learning with Environmental Materials
Authors: Sari Intan Juwita
Published: December 2020

The environment is one of the most influential components to support the success of students in the teaching and learning process in schools. This is in line with Dirgeyasa's opinion (in Yantama, Ramadhan, and Afnita, 2013) which states that the success and failure of the teaching and learning process is highly dependent on the reality of student input, the teaching and learning process, teacher competence, assessment, and motivation. Ramadhan et.al (2019) said that teachers play an important role in conveying this knowledge to students, because students are the next generation who are tasked with protecting the environment. Environmental education can be integrated into language learning lessons. This integration can be done by using the theme of the environment in text learning. Through the text, students can learn the language and gain environmental knowledge through the content of the text they read.
Colonial empires, actor constellations, and their legacies
Authors: Becker Bastian , Shriwise Amanda , Schmitt Carina
Published: December 2020

Colonialism is a multifaceted phenomenon characterized by the establishment of political control, the subjugation of local populations, and economic exploitation. Even though most of today’s nation states have been colonized and subordinated to others at some point, many questions about how colonial legacies influence past and contemporary polities, politics, and policies in former colonies remain unanswered. In this paper, we address colonialism as a particular kind of transnational governance and put actors, their constellations, and strategic interactions at the center of the analysis. We argue that this actor-centric approach serves as an analytical and heuristic tool to bring about a more comprehensive and specific understanding of how colonial legacies manifest. This helps us to detect differences and similarities across and within Empires and also to identify changes and continuities between the pre- and post-independence eras.
Need Analysis of Academic Writing Teaching Model Based on Process-genre Approach: What Do They Really Need?
Authors: Helaluddin Helaluddin
Published: December 2020

This study aims to investigate the needs of students and lecturers in writing instructions using the process genre approach. Besides, this research is also based on facts which reveal that decision making on learning objectives is only taken from the curriculum and syllabus review used. But unfortunately, the preference of students and lecturers for learning needs is actually ignored. The method used in this study is a qualitative method using questionnaires and interviews as research instruments. The number of participants in this study was 3 Indonesian language lecturers and 65 students at the State Islamic University of Sultan Maulana Hasanuddin Banten. The participants of the students were selected by using a purposive random sampling technique. The results showed that the need for a writing learning model design using the process genre approach. Specifically, the findings of this study include several aspects needed by students and lecturers, namely: (1) a comprehensive learning approach involving students, colleagues, and lecturers, (2) writing assessment must cover broader aspects, and (3) the need for publication as part of the writing activity. Furthermore, the syntax in the learning model based on the needs analysis is: (1) recognize the form of the text, (2) analyze the text, (3) discuss the text, (4) write the text independently, (5) finalize the text, and (6) publish the text.
ABD1: MHC Class I A*0201-LLFGYPVYV-A6 TCR complex: convergence diagnostics of number density
Authors: Antipas Georgios S.E. , Ntallis Nikolaos
Published: December 2020

ABD1: MHC Class I A*0201-LLFGYPVYV-A6 TCR complexConvergence diagnostics of number density
Impact of Infectious Disease Risk Perception on Perceived Retail Crowding: With Special Reference to Retail Industry in Sri Lanka
Authors: AISDL
Published: December 2020

The global pandemic of COVID 19 has changed consumer behaviour to reduce the risk. This is common for all interpersonal interactions of individuals especially in maintaining the recommended interpersonal distance based on the recommendations from the health experts. Sri Lanka as a developing country affected by COVID 19, observed changes in individuals' day today’ consumption decision making due to pandemic. Importantly the retailing sector is highly influenced by the conditions since the frequency of interpersonal interactions and degree of interaction is higher in the retailing sector. Interestingly the retailing sector with its largest contributor, the SMEs need to identify the unique changes that happen to the consumer behaviour in responding to them. Accordingly, the objective of the study is to examine the impact of infectious disease risk on the perceived retail crowding in two perspectives of human density and the spatial density. The study has used a quantitative survey in collecting data with the online self-administrated questionnaire with a sample of 100 consumers. Data analysis has been done by using a PLS-SEM with the support of SmartPLS version 3. The key findings of the study emphasize the significant positive influence of infectious disease risk on human density as well as on the spatial density. Based on the findings the study attempts to provide the implications for the retailing industry to cope with situational changes in the environment.
Obesity as a risk factor for severe COVID-19 and complications
Authors: Demeulemeester Fien , De Punder Karin , van Heijningen Marloes , van Doesburg Femke
Published: December 2020

Emerging data suggest that obesity is a major risk factor for the progression of major complications such as, acute respiratory distress syndrome (ARDS), cytokine storm and coagulopathy in COVID-19. Understanding the mechanisms underlying the link between obesity and disease severity as a result of SARS-CoV-2 infection is crucial for the development of new therapeutic interventions and preventive measures in this high-risk group. We propose that multiple features of obesity contribute to the prevalence of severe COVID-19 and complications. First, viral entry can be facilitated by the upregulation of viral entry receptors, like angiotensin-converting enzyme 2 (ACE2), among others. Second, obesity-induced chronic inflammation and disruptions of leptin signaling can result in a disproportionate or hyper-inflammatory response, which together with elevated ferritin levels can be a direct cause for complications, such as ARDS and cytokine storm. Third, the negative consequences of obesity on blood coagulation can contribute to the progression of thrombus formation and hemorrhage. In this review we summarize clinical findings that provide insight into the relationship between obesity and COVID-19 disease severity and discusses potential mechanisms that could convey the risk for major complications in patients suffering from obesity.