bluuebunny/crossref_metadata_2025 huggingface dataset:
TRADE RESTRICTIONS IN THE CONTEXT OF FOREIGN TRADE LIBERALIZATION
Authors:   Kyiv National University of Trade and Economics, Pugachevska Kateryna
Published: December 2020

Research on the impact of the external component on economic growth shows the prevailing view of the positive impact of foreign trade and its liberalization on economic growth. At the same time, discussions on trends in foreign trade liberalization are part of the issue of contradictory impact of free cross-border movement of goods, capital and labor on the economic development. The majority of sources on endogenous growth contains a range of models for the relationship between trade restrictions and economic growth. Therefore, the aim of the article is to study trade restrictions in the context of foreign trade liberalization. At a high level of economic development, the liberalization of the economy allows to increase the benefits of foreign trade, but the issues related to the opening of national markets in the economic periphery remain controversial. The article considers the essence and classification of foreign trade restrictions. The views of scholars of leading economic schools on the relationship between trade liberalization and economic growth have been represented. It has been determined, that the main trends in the liberalization of foreign trade are: expanding the scope of regulatory measures by both national governments and global trade institutions; coordination and intensification of international cooperation in the areas of multilateral liberalization of foreign trade; growing non-tariff barriers to the development of international trade. The results of the study allow to deepen the understanding of the peculiarities of ensuring national economic interests in the conditions of dynamization of foreign trade. Key words: trade restrictions, national economic interests, import regulation, foreign trade liberalization, tariff and non-tariff restrictions.
ANALYSIS OF ECONOMIC SUPPORT MEASURES IN THE CONDITIONS OF THE COVID-19 PANDEMIC
Authors:   Mukachevo State University, Chernychko Tetiana , Ihnatyshyn Maria ,   Mukachevo State University
Published: December 2020

The successful functioning of the country's economy is closely linked to the optimal provision of the budget. The effectiveness of the state's economic policy and its impact on economic and financial stability, living standards, etc. depend on this. This issue becomes especially relevant in certain crisis periods, such as 2020 and the COVID-19 pandemic. The aim of the article is to study the state and trends of COVID-19's impact on the economic situation in the world and to determine the social and economic losses that Ukraine suffers from the pandemic of this disease. The article substantiates that the reduction of the state's financial capabilities requires reformatting the state's financial policy instruments in favor of other, less expensive sources of incentives. It has been determined that the vast majority of countries in the world allocate tax incentives as an influential stimulus to economic development. The system of incentive measures to support business in such countries as Germany, Italy, USA has been analyzed. Peculiarities and direction of stimulating measures applied in Ukraine have been determined. It has been concluded that in the context of the "corona crisis" Ukraine has taken steps taken by all civilized countries of the world: it reduces the planned budget revenues and increases spending on countering the pandemic. However, the system of proposed incentives is not enough to support business structures. It has been substantiated that the vast majority of measures are not economic but social. The scientific novelty of the obtained results is to determine the need to use the tools of more active tax and budget policy aimed at thorough support of business structures, in order to reduce the negative impact of the global economic crisis. It has been determined that first of all the support of small business and the self-employed population of Ukraine, as the most vulnerable category of business structures of Ukraine, should be important. Further research will focus on the analysis of the economic consequences of quarantine, economic losses after overcoming coronavirus disease. Key words: economic crisis, coronavirus, COVID-19, budget expenditures, stimulating tax instruments.
CORPORATE LAW AND CORPORATE CULTURE AS A MEANS OF INFLUENCING EFFICIENCY
Authors:   Mukachevo State University, Korolovich Oksana , Resler Maryna ,   Mukachevo State University, Pihosh Vasyl ,   Mukachevo State University
Published: December 2020

Corporate law and corporate culture are a set of means of multidirectional influence on the efficiency of corporate legal entities, using the means of generating the effects of influence on efficiency in general, affecting specific numerical indicators of activity. In addition, corporate law regulates the relations that may arise during the creation, implementation and termination of economic activity, determines the means, forms and structure of the organization. The purpose of the article is to determine the features and basic principles by which corporate law and corporate culture form models of behavior that help achieve goals and optimize certain processes in the activities of corporate legal entities. The research methodology is based on the methods of logical analysis. In addition, the study used the method of critical analysis of scientific literature and practical experience. The results of the study allowed us to consider corporate culture and corporate law as specific means of modeling staff behavior or management. They are such tools that form a scientific novelty and allow to achieve such an image of staff interaction that is acceptable for the efficiency of corporate legal entities. This is especially true because corporate rights are subjective in nature and arise within a specific relationship based on objective law. The basic result that forms the novelty was the structuring of corporate culture and corporate law, which is implemented in terms of: model basis, which determines the features and basic principles of influencing the behavior of staff; patterns of behavior in the organization, which determine the internal environment, where each employee invests in a common goal (efficiency of the enterprise). The study of the model basis of corporate culture and corporate law, models of behavior in the organization allowed to outline the basic principles by which they positively affect the efficiency of corporate legal entities. The selected principles of corporate culture and corporate law provide a positive impact on the efficiency of corporate legal entities, only if the formation of clan or adhocratic types of corporate culture. The practical significance of the study is to identify elements for software development that will help corporate entities to involve employees in work processes, as well as to create and strengthen corporate culture. Keywords: corporate culture; corporate law; efficiency; corporate entity; personnel model or type of behavior
Обобщение экспериментальных и теоретических исследований физико-механических свойств грунтов Центральной Якутии : монография / Под общей редакцией С.А. Новицкой. – М.: «КДУ», «Университетская книга», 2020. – 162с.
Authors: М.Н. Царапов , П.И. Котов , С.С. Волохов , Р.Г. Мотенко , Г.П. Пустовойт
Published: December 2020

Содержит обобщение экспериментальных и теоретических исследований физико-механических свойств грунтов Центральной Якутии для разработки нормативных документов по проектированию и строительству зданий и сооружений в условиях меняющегося климата на территории РС(Я). Издание предназначено для студентов и аспирантов по направлению «Геология», специализирующихся по гидрогеологии, геокриологии, инженерной геологии, а также по курсу механики мерзлых грунтов в геологических, геологоразведочных, горных, транспортных, инженерно-строительных и гидротехнических вузах. Она также рассчитана на широкий круг исследователей, сотрудников проектных, изыскательских и производственных организаций, работающих в области хозяйственного освоения криолитозоны.
Book Review
Authors: Schultz Cecilia
Published: December 2020

Lawrence Hamilton. Amartya Sen. Cambridge: Polity Press, 2019. ISBN-13:978-1-5095-1984-2.
Aproximación a la percepción social del patrimonio natural y cultural entre sectores clave de turismo en Los Tuxtlas, Veracruz, México
Authors: León Estrada Xochitl del Alba , Piñar Álvarez María de los Ángeles
Published: December 2020

Esta investigación analiza la percepción social del patrimonio natural y cultural (especialmente arqueológico) entre sectores claves de San Andrés Tuxtla y Catemaco, Veracruz, en la Reserva de la Biósfera de Los Tuxtlas. Metodológicamente, aplicamos entrevistas semiestructuradas para diagnosticar necesidades de formación sobre patrimonio natural y cultural a productores de bienes y servicios turísticos y funcionarios públicos, y realizamos talleres con enfoque colaborativo para sensibilizar, revalorizar y reactivar aspectos de cultura material e inmaterial que impulsen productos turísticos orientados a conservar el patrimonio natural y cultural. Los resultados muestran percepciones desiguales sobre el patrimonio natural y cultural, también un reconocimiento del potencial que representa la cultura y los elementos patrimoniales cuyo aprovechamiento puede ser beneficioso para las economías local y regional, siempre que haya una participación transversal de los sectores involucrados. Se concluye que es necesaria la valoración de la cultura para su inclusión en programas de formación sobre turismo cultural sustentable, fortalecer la vinculación entre sectores gubernamentales, sector privado, población local, académicos y turistas, recalcando la importancia de reactivar y reforzar las identidades de una sociedad asentada en un territorio cultural y ecológicamente rico.
Efficiency of a cogeneration plant based on a diesel engine under uneven electrical load conditions
Authors: Antipov Y. U.A , Val'yekho Malbdonado P.R. , Oshchepkov P. P , Shatalov I. K , Shatalova I. I
Published: December 2020

A feature of electrical energy is that it must be produced at a given moment as much as the consumer needs. However, the graphs of energy consumption are very uneven over the time of day. In order to cover peak loads, the highly mobile equipment, which is often less economical, is used. This equipment is operated at partial power modes, where its efficiency is markedly reduced. One of the real ways to get out of this situation can be the use of heat pumps (HP) in circuits with cogeneration units (CU) based on heat engines. In this case, it becomes possible to use the heat engine in an economical mode throughout the day, and direct excess electricity at night to the heat pump drive. The paper considers two options for the operation of a cogeneration plant based on a diesel engine in power supply schemes for an individual consumer under conditions of an uneven electrical load schedule. Wartsila 12V32 is taken as an example of a CU. Such plants are operated in different regions of the Russian Federation. The main data of the CU in the design mode are given. Diesel generator: electric power - 6000 kW, hourly fuel consumption - 1080 kg/h, thermal power - 5240 kW, exhaust gas temperature - 485 °C, effective efficiency - 0,46, fuel heat utilization factor 0,89. In the first version, the CU operates in a standard mode. This ensures the generation of electrical power in accordance with the schedule. In the second version, the CU is used in conjunction with the HP to obtain additional thermal power. Calculations have shown that by including a heat pump in a cogeneration unit operating in an uneven electrical load schedule mode, it is possible to ensure that the diesel engine operates at maximum efficiency during the whole day and to increase the fuel heat utilization rate by 17-20 %.
Research on the price of harvesters in the secondary market as an aspect of changing their technical condition
Authors: Piskunov M. A
Published: December 2020

In the timber industry complex of Russia, medium-sized and small enterprises with a volume of timber harvesting up to 100 thousand cubic meters per year occupy a share of 48 % in the total volume. Most of these enterprises do not have the capacity to purchase new harvesters. An alternative to the new harvesters are the harvesters from the secondary market. Thus the study of changes in the technical condition of harvesters during their operation is an actual study for Russia. The data on the models, age, number of hours worked and the cost of harvesters that are offered on the secondary market was collected. 202 commercial offers were collected. In total there are 31 harvesters under 5 years of operation; 99 harvesters from 5 to 10 years of operation; 56 - from 10 to 15 years of operation; and 16 - older than 15 years of operation. There are 73 John Deere harvesters (including the outdated Timberjack models), with 8 tracked vehicles, 29 Ponsse harvesters; 49 Komatsu harvesters (including the outdated Valmet models) with 4 harvesters based on a tracked excavator; 37 harvesters of different models made on the basis of tracked excavators and 18 harvesters of other models. Hypothetically assuming that there is a connection between the price of the harvester and its condition, correlations were analyzed between the price and the age of the harvester and between the price and the number of worked hours of the harvester. The relationship between the price and the age is described by power and exponential curves, with coefficients of determination of 0,56 and 0.54, respectively. Filtering data by power range (160-205 kW) and by model (three models were considered: John Deere 1270; Ponsse Ergo; Komatsu 931) did not lead to clear certainty about the form of regression, although it slightly increased the coefficient of determination. There are groups of factors that can influence the type of regression: the seller's factor, the repair factor, the operation factor, and the technical characteristics factor, but determining the degree of influence of these groups requires additional research. The dependence between the price and the number of worked hours is characterized by a very weak relation due to a large spread of data owing to incorrect values of the hours marked by sellers. General regression trends for harvesters are consistent with data for other types of tractors. But to determine unambiguity in regressions requires the accumulation of empirical data on the reliability of machinery and changes in their price over a number of years.
Survey on Formal Concept Analysis Based Supervised Classification Techniques
Authors: Azibi Hayfa , Meddouri Nida , Maddouri Mondher
Published: December 2020

Classification is a data mining task and which is a two-phase process: learning and classification. The learning phase consists of constructing a classifier or a model from a labeled set of objects. The classification phase consists classifying new objects by using the generated classifier. Different approaches have been proposed for supervised classification problems through Formal Concept Analysis, and which is a mathematical theory to build upon hierarchies of formal concepts. The proposed approaches in literature rely on the use of single classifier and ensemble methods. Single classifier methods vary between them according to different criteria especially the number of formal concepts generated. We distinguish overall complete lattice methods, sub-lattice methods and concept cover methods. Methods based on ensemble classifiers rely on the use of many classifiers. Among these methods, there are methods based on sequential training and methods based on parallel training. However, with the large volume of data generated from various sources, the process of knowledge extraction with traditional methods becomes difficult. That’s why new methods based on distributed classifier have recently appeared. In this paper, we present a survey of many FCA-based approaches for classification by dividing them into methods based on a mono-classifier, methods based on ensemble classifiers and methods based on distributed classifiers. Different methods are presented and compared within this paper.
Energy Disaggregation Using Principal Component Analysis Representation
Authors: Dantas Pierre V. , Sabino S. Júnior Waldir , Carvalho Celso B.
Published: December 2020

The main purpose of disaggregation is to decompose a signal into a set of other signals that together constitute it. This approach could be applied to audio signals, health care, home automation, ubiquitous systems and energy systems. It may be unworkable to individually measure the energy consumption of loads in a system simultaneously and, through disaggregation, we can make an inference using a main meter. The main contribution of this work is to use PCA to extract representativeness of an energy consumption signal we want to disaggregate, identifying its most relevant characteristics. The field of study is relevant because it allows information to be obtained in a simpler and cheaper way about the individual consumption of loads that make up a system. This opens up perspectives for other approaches such as smart grids and IoT. We demonstrate that when compared to other techniques, the proposal produces more accurate disaggregation results.
Solving a Fuzzy Linear Equation with a Variable, Using the Expected Interval of a Fuzzy Number
Authors: Abramonte Richard , Escobar Eder , Aliaga Antenor , Gutierrez Flabio
Published: December 2020

In this work, a fuzzy linear equation AX + B = 0, is solved, were A, B y C are triangular diffuse numbers, could also be trapezoidal. For this type of equations there are several solution methods, the classic method that does not always obtain solutions, the most used is the method of alpha cuts and arithmetic intervals that although it always finds a solution, as a value is taken closer to zero (more inaccurate), the solution satisfies less to the equation. The new method using the expected interval, allows to obtain a smaller support set where the solutions come closer to satisfying the equation, also allows to find a single interval where the best solutions for decision making are expected to be found. It is recommended to study the incorporation of the concept of the expected interval in the methods to solve systems of fuzzy linear equations
An Octave Package to Perform Qualitative Analysis of Nonlinear Systems Immersed in R4
Authors: Escobar Eder , Abramonte Richard , Aliaga Antenor , Gutierrez Flabio
Published: December 2020

In this work, the AutonomousSystems4D package is presented, which allows the qualitative analysis of non-linear differential equation systems in four dimensions, as well as drawing the phase surfaces by immersing R4 in R3. The package is programmed in the computational tool Octave. As a case study applied to the new Lorenz 4D System, sensitivity was found in the initial conditions, Lyapunov exponents, Kaplan Yorke dimension, a stable and unstable critical point, limit cycle, Hopf bifurcation, and hyperattractors. The package could be adapted to perform qualitative analysis and visualize phase surfaces to autonomous systems, e.g. Sprott 4D, Rossler 4D, etc. The package can be applied to problems such as: design, analysis, implementation of electronic circuits; to message encryption.
Using Conversation Analysis for Examining Social Media Interactions
Authors: Farina Matteo
Published: December 2020

Social media research has grown exponentially in recent years. However, it seems that to date only a few studies have applied Conversation Analysis (CA) to study social media interactions. The aim of this paper is to show the benefits of using CA for the analysis of this type of social interactions.
A Study on the Effect of DropConnect to Control Overfitting in Designing Neural Networks
Authors: Lim Hyun-il
Published: December 2020

The neural network is an approach of machine learning by training the connected nodes of a model to predict the results of specific problems. The prediction model is trained by using previously collected training data. In training neural network models, overfitting problems can occur from the excessively dependent training of data and the structural problems of the models. In this paper, we analyze the effect of DropConnect for controlling overfitting in neural networks. It is analyzed according to the DropConnect rates and the number of nodes in designing neural networks. The analysis results of this study help to understand the effect of DropConnect in neural networks. To design an effective neural network model, the DropConnect can be applied with appropriate parameters from the understanding of the effect of the DropConnect in neural network models.
Intelligence Accounting Information Fusion System: Theory, Model and Framework
Authors: Duan Xinsheng
Published: December 2020

It is defined in this paper that the intelligence accounting information fusion system is an intelligence accounting information system based on accounting information fusion (briefly AIF). This is a new accounting information system that goes beyond the traditional accounting information system, based on AIF and has the function of intelligent decision-making support. Intelligence accounting information fusion system must have four conditions or functions. First, the system should have basic accounting information generation functions. Second, the system should have the ability to obtain other relevant information from various channels, called information acquisition intelligence. Third, the information obtained should be expressed and stored intelligently, called information expression and information storage intelligence. Fourth, the system should have intelligent decision support function. This paper will research firstly on AIF, establish theory for AIF to support the stakeholders to make decision using both accounting information and non-accounting information. Then, the paper will study the intelligence accounting information system based on AIF. The theory and the realization of intelligence accounting information fusion system will be studied based on methods and technologies in the field of Artificial Intelligence and Expert Systems.
Modeling Multi-Order Adaptive Processes by Self-Modeling Networks
Authors: Treur Jan
Published: December 2020

A self-modeling network for some base network is a network extension that represents part of the base network structure by a self-model in terms of added network nodes and connections for them. By iterating this construction, multi-order network adaptation is easily obtained. A dedicated software environment for self-modeling networks that has been developed supports the modeling and simulation processes. This will be illustrated for a number of adaptation principles from a number of application domains.
Design and Implementation of Substation Operation Safety Monitoring and Management System Based on Three-Dimensional Reconstruction
Authors: Yang Yingyi , Wu Hao , Yang Fan , Mai Xiaoming , Chen Hui
Published: December 2020

In order to reduce operational risks and to improve the risk management and control level in substation, a substation operation safety monitoring and management system (3D2S2M) has been structured based on three-dimensional (3D) laser modeling technology. In this paper, we introduce how to build such a system and to describe its implementation details. A 3D lidar scanning technology is used to perform a holographic scan of the whole internal area in a substation to obtain color point cloud data of buildings and all equipment. Then, a novel 3D visualization safety monitoring and management system, named 3D2S2M, is developed by performing a 3D reconstruction of the point cloud data. Based on the real 3D scene model of 3D2S2M, the method of 3D distance measurement is used to replace manual on-site investigation for improving operation and maintenance efficiency. In addition, a real-time high-accuracy localization method is proposed, in order to identify and analyze the positioning and the behavior of the personnel, and the movement trajectory of the equipment. By combining positioning information and the electronic fence that used in 3D2S2M, risk levels of the personnel (or equipment) are evaluated and the corresponding alarm is issued to prevent dangerous behavior, thereby the operation risk is reduced in substation.
Investigation of the Effect of Different Covariance Estimation Methods on the Performance of Least Squares Compressive Covariance Sensing
Authors: Alwan Nuha A.S.
Published: December 2020

Compressive covariance sensing (CCS) can recover the second-order statistics of a signal that has undergone compression, and this can be achieved without the requirement of sparsity conditions. Instead, certain structure information in the statistical domain is to be captured during compression. In particular, least squares compressive covariance sensing is considered which requires the estimation of the covariance of the available compressed signal in order to recover the covariance matrix of the original signal. Different covariance estimation methods are applied and the CCS performance compared, in the presence of white Gaussian noise, in terms of the normalized mean square error between the true and recovered covariance.
Ad-Hoc Network Access Control System and Method for Edge NFC Terminal
Authors: Bao Yiqin , Sun Zhengtang
Published: December 2020

With the rapid development of wireless communication technology, Near field communication (NFC) and Ad-Hoc network (ZigBee) have attracted wide attention for their security, speed and low power consumption. NFC has been used in access control research. In the past, the system only considered the switch control of the door lock, but could not achieve safety management in large building scenarios, resulting in security loopholes and poor maintenance of access control. In order to solve the above problems, Automatic networking access control system based on NFC and ZigBee technology is implemented. The access control and Internet of Things system (IoT) are fused through NFC. NFC identity information is transmitted through ZigBee to the management for identity authentication. The wireless transmission adopts the improved reduced AES advanced encryption algorithm R-AES, which ensures reliable data transmission. On this basis, the security of access control is realized. Practical results show that the Ad-Hoc network access control system and method for edge NFC terminal can improve the management efficiency and security of building access control.
Navigation Signal Design and Ranging Performance Evaluation of Cn Band Based on Satellite-to-Ground Link
Authors: Chen Xiaofei , Wang Xue , Lu Xiaochun , Ke Jing , Guo Xia
Published: December 2020

As the only priority frequency band for navigation services except L protected by ITU, the Cn band could provide navigation services to solve problems of spectrum congestion and vulnerability to interference faced in L using global navigation satellite systems. However, Cn band navigation still faces some problems such as limited-bandwidth and link uncertainty. To solve these problems, an orthogonal MSK signal is designed in this paper under Cn limited bandwidth constraint. The analysis results show that although it’s ranging performance of narrow correlation spacing has been deteriorated, the performance of wide correlation spacing has been improved, and it can reduce 98.7% power interference to adjacent radio astronomy band. On the other hand, the Cn band navigation signal test based on the satellite-to-ground link is carried out in this paper. The test results show that the trend of designed signals’ ranging performance is consistent with the simulation results and its rain attenuation is 0.5–1dB.
A General Theory of Contract Conflicts with Environmental Constraints
Authors: Pace Gordon J.
Published: December 2020

One advantage of using formal deontic logic to represent and reason about normative texts is that one can analyse such texts in a precise and incontrovertible manner. Conflict analysis is one such analysis technique — assessing whether a number of contracts, or more generally normative texts, are internally consistent, in that they may not lead to a situation in which active norms conflict or even contradict each other. In this paper we extend existing techniques from the literature to address conflicts in the context of environmental constraints on actions regulated by the contract, and which the parties involved can carry out. The approach is logic-agnostic and we show how it can be applied to a service provision contract written in 𝒞ℒ.
Free Choice Permission in Defeasible Deontic Logic
Authors: Governatori Guido , Rotolo Antonino
Published: December 2020

Free Choice Permission is one of the challenges for the formalisation of norms. In this paper, we follow a novel approach that accepts Free Choice Permission in a restricted form. The intuition behind the guarded form is strongly aligned with the idea of defeasibility. Accordingly, we investigate how to model the guarded form in Defeasible Deontic Logic extended with disjunctive permissions.
Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents
Authors: Westermann Hannes , Šavelka Jaromír , Walker Vern R. , Ashley Kevin D. , Benyekhlef Karim
Published: December 2020

Human-performed annotation of sentences in legal documents is an important prerequisite to many machine learning based systems supporting legal tasks. Typically, the annotation is done sequentially, sentence by sentence, which is often time consuming and, hence, expensive. In this paper, we introduce a proof-of-concept system for annotating sentences “laterally.” The approach is based on the observation that sentences that are similar in meaning often have the same label in terms of a particular type system. We use this observation in allowing annotators to quickly view and annotate sentences that are semantically similar to a given sentence, across an entire corpus of documents. Here, we present the interface of the system and empirically evaluate the approach. The experiments show that lateral annotation has the potential to make the annotation process quicker and more consistent.
Permissioned Blockchains: Towards Privacy Management and Data Regulation Compliance
Authors: Alves Paulo Henrique , Frajhof Isabella Z. , Correia Fernando A. , De Souza Clarisse , Lopes Helio
Published: December 2020

Data privacy and protection has been a trending topic in recent years. The COVID 19 pandemic has brought about additional challenges and tensions. For example, sharing health data across several organizations is crucial for significant control and reduction of massive infection and death risks. This implies the need for broadly collecting and using personal and sensitive data, which raises the complexity of data protection and privacy challenges. Permissioned blockchain technology is one way to empower users in controlling how their data flows through the net, in a transparent and secure way, through an immutable, unified, and distributed database ruled by smart contracts. Given this background, we developed a second layer data governance model for permissioned blockchains based on the Governance Analytical Framework principles to be applied in pandemic situations. The model has been designed to organize the relationship between data subjects, data controller, and data processor. Regarding privacy concerns, our proposal complies with the Brazilian General Data Protection Law.
Evaluating the Data Privacy of Mobile Applications Through Crowdsourcing
Authors: Chrysakis Ioannis , Flouris Giorgos , Ioannidis George , Makridaki Maria , Patkos Theodore , Roussakis Yannis , Samaritakis Georgios , Stan Alexandru , Tsampanaki Nikoleta , Tzortzakakis Elias , Ymeralli Elisjana
Published: December 2020

Consumers are largely unaware regarding the use being made to the data that they generate through smart devices, or their GDPR-compliance, since such information is typically hidden behind vague privacy policy documents, which are often lengthy, difficult to read (containing legal terms and definitions) and frequently changing. This paper describes the activities of the CAP-A project, whose aim is to apply crowdsourcing techniques to evaluate the privacy friendliness of apps, and to allow users to better understand the content of Privacy Policy documents and, consequently, the privacy implications of using any given mobile app. To achieve this, we developed a set of tools that aim at assisting users to express their own privacy concerns and expectations and assess the mobile apps’ privacy properties through collective intelligence.
Towards Transparent Human-in-the-Loop Classification of Fraudulent Web Shops
Authors: Odekerken Daphne , Bex Floris
Published: December 2020

We propose an agent architecture for transparent human-in-the-loop classification. By combining dynamic argumentation with legal case-based reasoning, we create an agent that is able to explain its decisions at various levels of detail and adapts to new situations. It keeps the human analyst in the loop by presenting suggestions for corrections that may change the factors on which the current decision is based and by enabling the analyst to add new factors. We are currently implementing the agent for classification of fraudulent web shops at the Dutch Police.
From Prescription to Description: Mapping the GDPR to a Privacy Policy Corpus Annotation Scheme
Authors: Poplavska Ellen , Norton Thomas B. , Wilson Shomir , Sadeh Norman
Published: December 2020

The European Union’s General Data Protection Regulation (GDPR) has compelled businesses and other organizations to update their privacy policies to state specific information about their data practices. Simultaneously, researchers in natural language processing (NLP) have developed corpora and annotation schemes for extracting salient information from privacy policies, often independently of specific laws. To connect existing NLP research on privacy policies with the GDPR, we introduce a mapping from GDPR provisions to the OPP-115 annotation scheme, which serves as the basis for a growing number of projects to automatically classify privacy policy text. We show that assumptions made in the annotation scheme about the essential topics for a privacy policy reflect many of the same topics that the GDPR requires in these documents. This suggests that OPP-115 continues to be representative of the anatomy of a legally compliant privacy policy, and that the legal assumptions behind it represent the elements of data processing that ought to be disclosed within a policy for transparency. The correspondences we show between OPP-115 and the GDPR suggest the feasibility of bridging existing computational and legal research on privacy policies, benefiting both areas.
Los tres problemas filosóficos en el pensamiento primitivo
Authors: Ñahuincopa Arango Antonio
Published: December 2020

En este artículo estudio y analizo de forma tripartita algunas cuestiones fundamentales en los presocráticos: en primer lugar, se aborda el problema de superación del mito por el logos; como segundo punto, el asunto del origen: ¿cuál es el principio de todas las cosas? Y, en tercer lugar, se examina la cuestión de lo uno y lo múltiple: ¿cómo puede derivarse lo distinto a partir de lo idéntico? – tema que es abordado desde la interpretación polémica de Platón y Aristóteles sobre el pensamiento de Parménides (ser inmóvil) y Heráclito (el devenir) y su posible solución. Estas tres cuestiones tienen su relevancia, pero de modo especial la pregunta por el origen. Dado que, es una pregunta clave que nos lleva también a interrogarnos sobre nosotros mismos, como seres inteligentes, capaces de otear, ver y analizar como de una montaña los problemas existenciales y trascendentales de la realidad. Para una mejor compresión, empiezo con las cuestiones preliminares.
Lichenoid vulvar dermatoses: clinical presentation, morphology, and dermatoscopic signs
Authors:   St. Petersburg State University, St. Petersburg, Russian Federation, Parygina O.V. ,   City Dermatovenerological Dispensary, St. Petersburg, Russian Federation, Smirnova I.O. ,   St. Petersburg State University, St. Petersburg, Russian Federation,   City Dermatovenerological Dispensary, St. Petersburg, Russian Federation,   I.I. Mechnikov North-Western State Medical University, St. Petersburg, Russian Federation, Oganesyan M.V. ,   St. Petersburg State University, St. Petersburg, Russian Federation, Petunova Y.G. ,   St. Petersburg State University, St. Petersburg, Russian Federation,   City Dermatovenerological Dispensary, St. Petersburg, Russian Federation, Shin N.V. ,   St. Petersburg State University, St. Petersburg, Russian Federation, Zhelonkina A.O. ,   St. Petersburg State University, St. Petersburg, Russian Federation, Zhelonkin A.R. ,   St. Petersburg State University, St. Petersburg, Russian Federation
Published: December 2020

Lichenoid vulvar dermatoses are a heterogeneous group of diseases characterized by a number of overlapping signs and/or morphological features. Clinical similarity is accounted for by the appearance of small discrete papules with closely adjacent superficial squamae. The prototype of lichenoid dermatoses is lichen ruber planus. Histologically, lichenoid pattern is characterized by basal epithelial cell damage and a band-like infiltrate in the upper dermis. The International Society on Vulvovaginal Diseases categorizes lichen ruber planus and early lichen sclerosus as dermatoses with this histological pattern. Some authors also classify plasma cell (Zoon) vulvitis as lichenoid vulvar dermatoses. The cause of diagnostic errors lies in the similarity of the clinical and histological presentations of lichenoid vulvar dermatoses. Dermatoscopy should be considered as an additional diagnostic test. Only few studies address the key dermatoscopic signs of vulvar dermatoses. Histological study is important for the differential diagnosis. However, at some stages of disease evolution, vulvar dermatoses can have an overlapping histological pattern. This paper summarizes the data on the clinical, histological, and dermatoscopic presentation of the most common lichenoid vulvar dermatoses, i.e., lichen planus, lichen sclerosus, lichen simplex chronicus, and plasma cell vulvitis. KEYWORDS: lichenoid dermatoses, vulvar dermatoses, lichen sclerosus, lichen planus, lichen simplex chronicus, plasma cell vulvitis, Zoon vulvitis, dermoscopy. FOR CITATION: Parygina O.V., Smirnova I.O., Oganesyan M.V. et al. Lichenoid vulvar dermatoses: clinical presentation, morphology, and dermatoscopic signs. Russian Medical Inquiry. 2020;4(10):617–624. DOI: 10.32364/2587-6821-2020-4-10-617-624.
Boletín Económico Regional: Centro, III trimestre de 2020
Authors:   Departamento Técnico y de Información Económica
Published: December 2020

La economía de la región Centro presentó durante el tercer trimestre de 2020 resultados adversos frente a igual periodo del año anterior, de acuerdo con las actividades de seguimiento, manteniéndose afectadas por la pandemia de covid-19. Continuó el retroceso en transporte, la construcción, el comercio, especialmente de vehículos, y el sector pecuario. Por su parte, creció el sistema financiero tanto en captaciones como en colocaciones, y particularmente sobresalió la dinámica de los desembolsos de Finagro al renglón agropecuario, impulsado por los recursos para capital de trabajo. También crecieron en el comercio exterior las exportaciones, mientras en mayor magnitud descendieron las importaciones. La inflación permaneció baja y los indicadores del mercado laboral registraron una tasa de desempleo con deterioro histórico en todas las ciudades capitales de la región.
Pendidikan Teknologi di Sekolah Inklusi
Authors: Mayangsari Indah , Hanifah Salsabila Unik , I Tari , Rani Zulaikha Irva , Aprita Dewi Fisca
Published: December 2020

An inclusive school where a school allocates all children without exception to one room regardless of differences in physical, intellectual, social, emotional and other conditional. This includes children with disabilities, children who are lazy to learn, children who are not gifted, street children, who are in the lower class. Inclusive education technology provides a very wide open and friendly space in learning, the inclusive education system always prioritizes mutual respect for differences. Therefore the inclusive educational technology system aims to remove barriers and solve problems and support the implementation of inclusive education for children with special needs. Several adaptive technologies are very important, namely NVDA (Non-Visual Desktop Access), JAWS (Job Access With Speech), I-Chat (I Can hear and talk). This service intends not to differentiate between children from one another, regardless of their background, economy and culture, so that they can develop learning like children in general. improving the success of the goals of inclusive school education.
EEG – based study on sleep quality improvement by using music
Authors: Truong Nhut Mai , Le Quoc Khai , Huynh Quang Linh
Published: December 2020

Napping is essential for human to reduce drowsiness, contribute to improving cognitive function, reflex, short-term memory, and state. Some studies have shown that a certain amount of time for a nap can boost the body's immunity and reduce the danger of cardiovascular disease. Using music for relaxation and enjoyment to fall asleep is an effective solution that earlier studies have shown. There are many genres of music that have been used for stimulation, such as binaural beats or melodic sounds. The aim of the study was to confirm the positive effect of music on sleep quality by analyzing electroencephalography signal. There were four types of music is being used in this study: instrumental music, Ballad music, K-pop music, and Jazz. The study applied the pre-processing include filtering block, features extraction, and clustering steps to analyze raw data. This research calculated the power spectrum of Alpha wave and Theta wave, to detect the transition of wake - sleep stages by K-means clustering algorithm. Sleep latency is one of the factors that determine the quality of sleep. The sleep onset is detected based on the phase shift of the Alpha and Theta waves. The exact timing of the sleep onset was important in this study. The user interface was developed in this study to compute sleep latency in normal and musical experiment. As a result, music is an intervention in helping people fall asleep easier (mean of sleep latency in normal and musical experiment was 9.0714 min and 5.6423 min, respectively) but the standard deviation of this result was rather high due to the little number of experiments. However, the study concludes that listening to music before naptime can improve sleep latency in some participants.
Studying DOZE-OFF in student using ELECTROENCEPHALOGRAPHY system
Authors: Le Quoc Khai , Pham Thi Huong Trang , Nguyen Trung Hieu , Huynh Thi Diem Thy , Huynh Quang Linh
Published: December 2020

Sleep deprivation of high school and university students is currently an actual concerning issue. Sleep deprivation is one of the leading causes of dozing-off during daytime. Usually, the state of drowsiness is very little concerned, but studies on drowsiness show the importance of investigating the frequency of occurrence as well as the need to clarify the cause and propose limited measures appeared dozing-off. Dozing-off is not only an undesirable state and disrupts daily activities, but also provides information on personal health status. In that case, early alertness for dozing-off event is very helpful in preventing unwanted consequences. The study has designed a process to record dozing-off event, then constructed and implemented the hypnogram processing program that evaluated quantitative changes in polysomnography signals at sleep onset, the transition time from wake stage to sleep stage. By analyzing the energy spectrum of the signal and using wavelet transform in combine with the support vector machine algorithm, the research allows a comprehensive evaluation of the state of dozing-off. Determining the exact time of onset of sleep is very important in the study of drowsiness. Extracting the time of this event appears to help develop an application for early warning dozing-off. Besides, it allows making an initial assessment of the condition of the subject when the time of drowsiness begins suddenly. Six recordings from volunteered students were processed from a 45-minute vigilance test. All of the volunteers had no neuropathy and were well explained to the procedures used in this study. The results show that depending on kinds of different applications, signals such as EEG, EOG, or EMG are used individually or in combination to fetch suitable results. The result presented a successful method to distinguish dozing-off event with other stages.
Analyzing genetic mutations of porcine reproductive and respiratory syndrome virus strains by serial passages in cell line from field wild strain
Authors: Thy Bui Anh , Hòa Lê Thanh , Hạnh Trần Xuân , Thước Trần Linh
Published: December 2020

In this study, we compared the genetic mutation and virulence of the attenuated PRRSV strains obtained by 95 serial passages in Marc-145 cells with the parental virulent strain (designated as BG81) isolated in Vietnam. Results showed that there were marked changes in virulence: pigs inoculated with BG81 exhibited high fever ( 41◦C), which lasted for 12 days, and presented typical clinical symptoms of PRRSV; otherwise, pigs inoculated with BG895 (from passage 95), maintained mean rectal temperature from 39,5oC to 39,9oC, did not develop any significant clinical symptoms. Whole genomes of the attenuated strains were significantly different, but their sequence lengths were conserved, i.e., 15,321 nucleotides. The attenuated strain from passage 95 (BG895) contained 38 nucleotide substitutions that resulted in 14 amino acid changes. Most of these changes (about 65%) occurred before passage 50. The 14 amino acid changes were distributed in Nsp1, Nsp4, Nsp9, Nsp10, GP2, E, GP3, GP4, GP5 and N. Specially, there were two single substitutes within a codon in ORF3, corresponding to parallel mutation at position F143L. However, structural protein (M) and eight non-structural proteins (Nsp2, Nsp3, Nsp5, Nsp6, Nsp7, Nsp8, Nsp11 and Nsp12) among the 19 PRRSV proteins, remained conserved, without any mutations and supposed for consideration as irrelative to the attenuation process. It is interesting that in the gene coding for the smallest structural protein (E protein), there was the highest mutation rate among all of the structural genes analyzed, and genetically, seemed to be a highly variable region. These changes may provide the molecular bases for the observation of the attenuated phenotype in pigs. Thus, our variation results obtained between the attenuated BG895 and the parental virulent BG81 strains provide appropriate molecular data for potential use to test and control the masterseed strain in production of a PRRSV vaccine in Vietnam.
ASSESSMENT OF KNOWLEDGE, ATTITUDES AND PRACTICES ON VIRAL HEPATITIS B AND C IN HEALTH-CARE SETTINGS
Authors: Hassan Khaled
Published: December 2020

Introduction: The establishment of occupational health in all health structures, the improvement of working conditions and the generalization of antiviral B vaccination have contributed to the virtual disappearance of occupational viral hepatitis B and the very significant reduction in the incidence of viral hepatitis C.

Aim: to assess knowledge, attitudes and practices on viral hepatitis B and C in health-care settings.

Method: cross sectional study using questionnaire.

Results: The latter was significantly higher for physicians (72.4%) than for support staff (66.8%) and nurses (60.5%)Viral hepatitis was feared by 82% of caregivers. Only 47.4% of the staff claimed to be correctly vaccinated against hepatitis B.

Conclusion: The prevention of occupational viral hepatitis B and C is an objective set by the recommendations issued by the WHO and the CDC.

Keyword: Hepatitis B, Hepatitis C