bluuebunny/crossref_metadata_2025 huggingface dataset:
La atención a la diversidad en los centros escolares. Normalización e inclusión del alumnado con necesidades específicas de apoyo educativo (ANEAE).
Authors: Pernas Pico Claudia María
Published: May 2022

Los cambios en la sociedad en general y en la escuela en particular han implicado otros cambios en la organización de los centros educativos; esto es lo que se conoce como atención a la diversidad, puesto que hay que hacer un apartado muy grande y muy amplio para los niños con necesidades específicas de apoyo educativo (ANEAE). Los principios de normalización e inclusión sustentan los pilares básicos de la educación de este tipo de alumnado. Lo que se pretende es reflexionar sobre la educación que impartimos los docentes, más en concreto, ante la diversidad que inunda las aulas. Es una reflexión desde la práctica diaria, fundamentada en analizar y profundizar en el centro, la comunidad educativa, el claustro de profesores y los padres; teniendo muy en cuenta los niños y niñas con necesidades educativas especiales (NEE) derivadas de discapacidad o de trastornos graves de conducta.
Actualidad y perspectivas del sector no universitario de educación superior en Europa
Authors: Ramírez Torrado Carla
Published: May 2022

Este artículo presenta los resultados de una investigación que analiza el desarrollo y situación actual del sector no-universitario de educación superior en algunos países europeos; inicialmente, se analiza lo ocurrido en el momento de su aparición, finales de los años sesenta y comienzo de los setenta; luego se presenta las características de su desarrollo, y para finalizar, los efectos que ha tenido y podría tener el proceso de Bolonia en las transformaciones del sector no-universitario de educación superior europeo.
Caracterización de habilidades de pensamiento crítico en estudiantes de educación media a través del test hctaes
Authors: Beltrán Castillo María Juliana , Torres Merchán Nidia Yaneth
Published: May 2022

Este artículo tiene como finalidad describir en un estado inicial las habilidades que permiten el desarrollo del pensamiento crítico en estudiantes de grado undécimo, del IED Garcés Navas de Bogotá, a través de la aplicación del Test HCTAES propuesto por Halpern (2006). Los resultados arrojados por este diagnóstico ofrecerán una oportunidad para mejorar los procesos de enseñanza y aprendizaje desde el área de la Química y para potenciar las habilidades que poseen los estudiantes, a través del diseño y aplicación de un programa de intervención cognitiva.
Cultura científica en el sistema educativo del departamento de la Guajira, Colombia
Authors: Arteta Bonivento Reynaldo José
Published: May 2022

La investigación tuvo como propósito indagar sobre la evolución de la cultura científica al interior de las instituciones educativas de carácter publico y privado en el departamento de La Guajira, en la república de Colombia; empleando para tal efecto, un cuestionario que se aplicó a una muestra de 192 estudiantes pertenecientes a último grado de básica secundaria de varias instituciones educativas, que por su importancia fueron seleccionadas. La investigación fue de tipo descriptiva, no experimental y transeccional. La técnica utilizada fue el cuestionario de afirmaciones con respuesta con cinco alternativas en una escala tipo Lickert y los datos extraídos de éste fueron organizados, tabulados y analizados utilizando técnicas estadísticas básicas. Los resultados obtenidos, muestran que existe un buen nivel de cultura científica en las instituciones educativas; existen fortalezas en cuanto a la utilización de procesos científicos, en la aplicación de los conceptos científicos y en el manejo de los temas de carácter científico; sin embargo, se evidencia una debilidad en aspectos tales como la comunicación de resultados y la escogencia de los temas objeto de investigación. Es importante notar que no es claro el concepto que tienen los estudiantes acerca de la dimensión contextual de la cultura científica. Por lo anteriormente expuesto, se propone diseñar e implantar una metodología adecuada, para que los estudiantes puedan escoger la temática de investigación y el diseño de líneas de investigación por parte de las instituciones; fortalecer el conocimiento en los estudiantes para que entiendan el papel que desempeñan sus investigaciones en el diseño de políticas públicas y, finalmente, se hace necesario dar a conocer o diseñar un programa de incentivos para jóvenes investigadores
Concepciones docentes sobre la promoción del desarrollo de la destreza “observar” y su evidencia en la práctica pedagógica
Authors: Escalante Barrios Elsa Lucía
Published: May 2022

Este artículo describe un estudio de caso realizado en una institución educativa de la ciudad de Barranquilla con el objetivo de establecer si las concepciones sobre la promoción del desarrollo de la destreza de pensamiento “observar”, de sus docentes del grado de transición del nivel preescolar, son evidentes en su práctica pedagógica. La investigación se abordó desde una perspectiva cualitativa y se iluminó a la luz de las teorías de Villarini (1991), Amestoy de Sánchez (1992), Raths (1997) y Priestley (1996). Sus resultados demostraron que las concepciones de los docentes evidencian la importancia del desarrollo de la destreza de pensamiento “observar” como base para el desarrollo de destrezas de pensamiento más complejas y facilitadoras de otros aprendizajes; sin embargo, en la práctica no se evidencia intencionalidad pedagógica ni claridad metodológica para desarrollarla, y de igual forma, no se estimula la multisensorialidad implícita en esta importante destreza. Los primeros pasos que se están dando hacia esta tarea son producto de concepciones institucionalizadas que, en un futuro, podrían generar espacios de aprendizaje adecuados para el desarrollo de esta importante destreza.
More ideational than material: Exploring the contemporary role of student voices in Chilean universities
Authors: Darwin Stephen
Published: May 2022

A key promise of neoliberalist ideologies in higher education is the valorization of student choice as a means of (re)shaping practices and improving the responsiveness of institutions. The power of this neoliberal imaginary (Ball, 2012) was grounded in market-like policies that demanded institutional accountability to both afford competition and maximizing prospects of student satisfaction. A key consequence of this imperative has been burgeoning institutional and system-level investment in metric-based instruments designed to measure and compare student experiences, engagement or satisfaction. However, how effective of these neoliberal policies been in empowering student choice and in producing more reflexive institutions? The research reported here investigated the influence of student voices in one of the earliest adopters of this neoliberal imaginary: the Chilean higher education system. This qualitative study explored the contemporary institutional role and function of student voices using a university typology, with data developed through artefact analyses and interviews with educational leaders. The findings suggest that institutions have heterogeneous orientations ranging from pseudo-democratic to instrumental forms of engagement, reflecting the distinctive sociocultural histories of institutions. However, the outcomes suggest that student voices are not a substantial presence in quality assurance or improvement practices.
1968 no Brasil também foi assim!
Authors: Bauer Carlos
Published: May 2022

O ensaio analisa a presença dos estudantes, dos operários e dos movimentos de guerrilha e de resistência armada à ditadura civil-militar em alguns episódios políticos registrados a partir de 1968 no Brasil. Partimos de uma reflexão sobre a estreita relação que esses personagens sociais mantiveram na luta contra os arbítrios do terror estatal reinante e da importância da herança política e organizativa que propiciaram aos movimentos sociais que irromperam, desde a segunda metade da década de 1970, produzindo uma significativa inflexão do papel de sua intervenção na cena social e política do país. A presença desses instantes de resistência e o reconhecimento do seu caráter pedagógico como parte indissolúvel da história dos movimentos sociais permite entendê-los como aqueles que tomam uma direção inesperada, contrária à edificação da ordem e dos mecanismos de dominação que são próprios da sociedade capitalista; mas que ousam virar o mundo de ponta cabeça e semear no solo fértil da história a utopia de uma sociedade sem explorados, nem exploradores.
A conceptual model of a real virtual laboratory
Authors:   Tomsk State University of Control Systems and Radioelectronics, Dmitriev Vyacheslav M. , Gembuh Lev A. ,   Tomsk State University of Control Systems and Radioelectronics
Published: May 2022

The article proposes a structural and functional scheme of a real-virtual laboratory, defines the main blocks of a real-virtual laboratory and the connections between them. For the purposes of formalization, information education modules have been introduced, illustrating the transformation of input and internal variables and characteristics into output by each block. Some remote real-virtual laboratories with the ghost of their structural schemes are also briefly considered. The elements included in remote real-virtual laboratories with ghost descriptions of functions performed in laboratories are described. Goal. To develop a conceptual model of a real-virtual laboratory, proposing its structural and functional scheme and defining the main blocks of a real-virtual laboratory, their functions, as well as the connections between them. Methods. To develop a new structure for a real-virtual laboratory, it is necessary to analyze known scientific results and practical solutions, for which scientific publications published in various sources in English and Russian are used, as well as programming methods of modern controllers, their means of communication with computers and laboratory equipment, and methods of network programming. Results. A brief overview of the existing remote laboratories with a ghost of their structure and a description of the mechanism of interaction of the remote user with the laboratory is made. A structural and functional scheme of a real-virtual laboratory is proposed, its main blocks and connections between them are determined. For the purposes of formalization, information transformation modules have been introduced, illustrating the transformation of each block of input and internal variables and characteristics into output. Conclusion. As a result of reviewing some of the remote laboratories' realizations, it was concluded that most of them were built using a foreign paid development environment. In this regard, taking into account the general situation in the world and specifically in our country, we can conclude that the development of its own implementation of a remote laboratory in the domestic development environment is a necessary measure. The paper presents a structural and functional scheme of the RVL, reflecting its block structure. The process of functioning of the laboratory reflects the modules of information transformation of input variables and parameters into output characteristics. This formalism can be used to build a functional model of a real-virtual laboratory.
Mathematical modeling of recommender system and data processing of a telecommunications company using machine learning models
Authors:   Financial University under the Government of the Russian Federation, Andriyanov Nikita A. , Atakhodzhaeva Madina-Bonu R. ,   Financial University under the Government of the Russian Federation, Borodin Evgeny I. ,   Financial University under the Government of the Russian Federation
Published: May 2022

The purpose of the study is to develop data modeling methods for projecting recommender algorithms using doubly stochastic autoregressive models of random processes and checking their adequacy by applying machine learning algorithms to cluster users in a simulated data set and predict probabilities of interest. Research methods. The article discusses the methods used in the construction of recommender systems. At the same time, the problem of modeling user behavior using a doubly stochastic model is considered. This model is proposed for generating artificial data. The doubly stochastic model allows generating non-stationary processes, thus creating users with different probabilistic properties in different groups of objects of interest. After that, artificially created users (and their activity) are clustered based on a modified K-means algorithm. The main modification is the need for automatic pre-estimation of the number of clusters, and not its choice by a person. Next, the behavior of representatives of each user group for new events is modeled. Based on the generated information and training data, the problem of predictiing and ranking the services offered is solved. At the same time, at the first stage, the use of regression models is sufficient to assign users to a group and form offers for this user. Results of the study. On the training data in 2 clusters, high determination indices were achieved, which indicates approximately 90% of the explained variance when using the proposed doubly stochastic model. Particular attention is paid to the work of modern recommender systems on the example of the Disco system developed by Yandex. In addition, pre-processing and preliminary analysis of data from the real sector was performed, namely, the data of a telecommunications company are being studied. For the purpose of issuing relevant proposals for communication services, a test recommender system has been developed. Conclusion. Thus, the main results of the work include a mathematical model that simulates the reaction of users to various services, as well as a logistic regression model used to predict the probability of a user's interest in a new service. Based on predicted probabilities, it is not difficult to rank new proposals. Approbation on the synthesized data showed the high efficiency of the model.
Methodology for solving problems of classification of appeals/requests of citizens to the “hotline” of the President of the Russian Federation
Authors:   South Ural State University, Bunova Elena V. , Serova Vlada S. ,   South Ural State University
Published: May 2022

The use of neural networks for the classification of text data is an important area of digital transformation of socio-economic systems. The article is devoted to the description of the methodology for classifying citizens' appeals. The proposed technique involves the use of a convolutional neural network. The stages of processing citizens' appeals in the amount of 7000 appeals are described. In order to reduce the dimension of the problem, methods of filtering and removing stop words were applied. The resulting data set allows you to choose the best classifier in terms of accuracy, specificity, sensitivity. Training and test samples were used, as well as cross-validation. The article shows the effectiveness of using this method to distribute requests on 15 topics of citizens' appeals to the “hotline” of the President of the Russian Federation. Automating the classification of received appeals by topic allows them to be processed quickly for further study by the relevant departments. The purpose of the study is automation of the distribution of citizens' appeals to the President's hotline by category based on the use of modern machine learning methods. Materials and methods. The development of software that automates the process of distributing citizens into categories is carried out using a convolutional neural network written in the Python programming language. Results. With the help of the prepared data set, the pre-trained model of NL BERT and sciBERT was trained by the deep learning method. The model shows an accuracy of 86% in the estimates of quality metrics. Conclusion. A pre-trained model was trained using a convolutional neural model using a prepared data set. Even if the forecast does not match the real category, the model gives a minor error, correctly determines the category of the appeal. The results obtained can be recommended for practical application by authors of scientific publications, scientific institutions, editors and reviewers of publishing houses.
Analytic hierarchy process: An approach based on the theory of latent variables
Authors:   Voronezh State Technical University, Barkalov Sergey A. , Karpovich Miron A. ,   Voronezh State Technical University, Moiseev Sergey I. ,   Voronezh State Technical University
Published: May 2022

The paper proposes a mathematical model for evaluating the attractiveness of alternatives by a qualitative criterion, which is based on the method of evaluating latent variables according to the Rasch model. This model is intended for assessing the attractiveness of alternatives in expert evaluation using the hierarchy analysis method based on a paired comparison of alternatives. The proposed method will make it possible to obtain objective estimates of alternatives on a linear scale, which do not depend on the composition of the alternatives being evaluated. Aim. The purpose of the study is to describe a new mathematical apparatus that allows one to obtain estimates of the attractiveness of alternatives and has a number of advantages over traditional methods of evaluation. The proposed model is based on the theory of latent variables, and more precisely, on the Rasch model for estimating latent variables. Materials and methods. The basis of the model for evaluating alternatives described in the paper is the method of paired comparisons. However, unlike the traditional mathematical apparatus of the hierarchy analysis method, the method for identifying the preference of one alternative over another for each of their pairs is based on a probabilistic approach, so preference estimates are less abstract and more objective. The paper gives a mathematical substantiation of the proposed model, compares the results of estimation by the proposed model with the results obtained by traditional methods. Computational experiments are also described that substantiate the adequacy of the obtained estimates. Results. A mathematical model has been developed, which is an alternative to the hierarchy analysis method (T. Saaty) for assessing the attractiveness of alternatives using the method of paired comparisons. Unlike the traditional evaluation method, the model allows you to obtain independent estimates of alternatives on a linear scale, and the criteria for comparing alternatives are probabilistic in nature, which allows for an objective assessment. Computational experiments have shown the adequacy and good stability of the obtained estimates to changes in the initial data. Conclusion. The proposed method for processing expert information obtained from paired comparisons of alternatives will make it possible to obtain the most objective assessments of them and can be used as a mathematical apparatus for decision support systems in many areas of scientific and practical activity.
Creating and testing models of uncertainty systems
Authors:   Perm National Research Polytechnic University, Bil'fel'd Nikolaj V. , Varlamova Svetlana A. ,   Perm National Research Polytechnic University, Zakharov Vadim V. ,   South Ural State University
Published: May 2022

Technological objects can be subject to various changes in the life cycle process, arising from the peculiarities of technological processes. Such changes include, for example, the formation of scale in the aggregates. As a result, the mathematical description of the object obtained at the previous stages of the life cycle may not correspond to the current state of the automation object. Such systems are called robust. The aim of the work is to define functions for the analysis and description of a high-pressure heater using the MATLAB system, using the Robust Toolbox library. Materials and methods. The initial data of the work was the transfer function of the heater through the flow channel, obtained experimentally. A controller was synthesized for this object and a description of the system and the transient process in MATLAB were presented. The next stage of work was the synthesis of uncertain parameters using the ureal function. As a result, the object received not specific parameter values, but an interval for each of the object's parameters. As a result, an object with uncertain parameters and graphs of its transients was obtained. At the next stage, the nominal parameters of the object were identified and the stability of the system was checked. A system with nominal parameters is stable, so it is possible to perform an analysis of a system with uncertain parameters. To do this, the calculation of robust stability was performed. Robust stability calculation was performed by means of MATLAB, using the robuststab function. As a result of the work, the function allows you to determine a number of values for estimating the system and a combination of system parameters at which the system under consideration becomes unstable. At the next stage of the study, the worst parameters of the system from the selected set were determined; the obtained values differ from the parameters of the robust instability of the system. As a result, the transfer functions of a system with nominal parameters, the worst parameters, and an unstable system are obtained, and the transfer functions are constructed. Results. With the help of the tool for analyzing robust systems, the study of the object was carried out, the ranges of parameters were determined, under which the system will remain stable.
Particle swarm parametric optimization of a constrained state feedback controller
Authors:   Institute of Artificial Intelligence, MIREA – Russian Technological University, Chernyshev Nikolai N. , Nizhenets Tatyana V. ,   Donetsk National Technical University
Published: May 2022

The key to increasing the efficient functioning of automatic control systems for technical facilities and processes in various areas of industry is the optimal setting of the state feedback controller parameters, for instance, so as to minimize the duration of transient processes or achieve the minimum value of the integral control quality assessment. The optimization problem is solved for an integrand of a kind that ensures that the integral assessment better expresses the quality of control. At the same time, the control quality indicators are in a rather complex relation to the set parameters of the controller, which greatly complicates the analytical synthesis procedure. Numerical optimization algorithms differ in the way the adjustable parameters are changed, the most effective being those that achieve the result in a shorter computational time. Aim. The goal is to obtain the optimal parameter values for a state feedback controller with an integral component and limitations for continuous linear stationary systems based on the stochastic metaheuristic particle swarm method. Materials and methods. The modern theory of automatic control, swarm intelligence are used to solve the problem of optimizing the parameters of the state feedback controller and controlling technical systems. Results. The process of parametric optimization of a constrained state feedback controller using the particle swarm method for a one-dimensional controlled object is described. The results of simulation using the method of direct enumeration of the controller parameters and the particle swarm method are described and compared. Conclusion. The results of numerical studies allow us to conclude that the developed algorithm for particle swarm parametric optimization of a constrained state feedback controller is highly accurate and fast.
Management of the natural resource potential of the Perm region on the basis of a second-order finite-difference model
Authors:   Perm National Research Polytechnic University, Zatonskiy Andrey V. , Sirotina Natalia A. ,   Perm National Research Polytechnic University
Published: May 2022

The article is devoted to the problem of natural resource potential management based on a finite-difference model of the 2nd order. In previous studies, it was found that the management of natural resource potential using finite-difference models allows us to obtain qualitative forecasts in comparison with the traditionally used linear multiple models. Purpose of work. The purpose of this work is to build a finite-difference model of a complex indicator of the second-order natural resource potential based on statistical data and to evaluate its predictive properties on the example of the Perm Region. Materials and methods. The second-order finite-difference model was obtained by adding autoregressive terms of the first and second orders to the multiple linear regression model. Based on trends, a forecast of factors was made and the corresponding model values were calculated. The ability to control the factors determining the PRP was established on the basis of their qualitative analysis. Estimates of the impact of changes in factors on the level of PRP were made by increasing and decreasing the forecast values of the selected controlled and uncontrolled factors by 5%. A system of recommendations for the regional government on the management of the natural resource potential of the Perm Region for 2019 and 2020 has been developed. The results of the study. It was revealed that during both forecast periods, the negative dynamics of the PRP as a result of a decrease in uncontrolled factors – a decrease of 0.01 in 2019. and by 0.02 in 2020. it is compensated by its positive dynamics as a result of the growth of controlled factors – an increase of 0.15 in 2019 and 0.16 in 2020. Since an increase in controlled factors by 5% allows for a significant increase in PRP, an increase in controlled factors by less than 5% is sufficient to compensate for the negative impact of unmanaged factors. Discussion and conclusion. The results obtained allow us to assert that the use of a second-order finite-difference model makes it possible to effectively manage the level of the natural resource potential of the region.
Development of a decision support system of city's social infrastructure accessibility based on GIS-technologies
Authors:   South Ural State University, Tashkin Artem O. , Hollay Aleksandr V. ,   South Ural State University
Published: May 2022

There are three main problems of interaction people with limited mobility with social infrastructure facilities (SIF): the first is physical, the second is the inaccessibility of information about the SIF, and the third is social. The accessibility of SIF and information about it can be ensured through use electronic maps of urban areas and SIF (digital city). These circumstances determine the relevance of the deve¬lopment and creation of a geoinformation support system for decision support in the field of social infrastructure accessibility for people with limited mobility. An original approach to the development and creation of technology to meet the needs for obtaining formalized spatial data, as a social tool for geographic orientation, an information and reference system for supporting decision-making in the field of social development is proposed. The purpose of the study is to develop a system for managing and monitoring the city’s social infrastructure facilities. Materials and methods. The conceptual model of the system was developed using GIS technologies and the theory of formal concept analysis (FCA). The online version is implemented using PHP, JavaScript. Results. The paper presents a methodology for implementing a decision support system. An Internet version of the system has been implemented. The system functionality and interface were tested with the involvement focus groups of people, interested in using the development. Conclusion. A system for managing and monitoring city’s social infrastructure facilities has been deve¬loped and implemented. The work is useful in the field of municipal management of social infrastructure, as well as for people with disabilities and researchers.
Knowledge management on the example of a machine-building enterprise and a higher education institution
Authors:   Ufa State Aviation Technical University, Sapozhnikov Alexey Yu. , Kulikov Grigory G. ,   Ufa Scientific and Production Enterprise “Molniya”, Kuznetsov Alexander A. ,   Ufa State Aviation Technical University, Yurlov Mikhail V. ,   Ufa State Aviation Technical University
Published: May 2022

Thе article discusses the problem of knowledge management. Meaning of the role of human resources, organizational management and information technologies in efficiency advancement of modern companies is the reason why active research of the knowledge management problem got started in the second half of 1990s. Main aim of knowledge management is to transform knowledge and experience of employees into company capital. Information technologies today are the main drive for transformation of mo¬dern businesses which is the main factor for the fourth industrial revolution INDUSTRY 4.0. This is why today’s goal model of knowledge-intensive industry enterprises contains task of IT solution creation that handles knowledge management. Aim: creating a metamodel of knowledge management system (KMS) using TOGAF methodology. Developing a KMS architecture for it to be used on industrial enterprise and higher education institution. Research methods used: complex approach and structural analysis of the process of system design using SADT (Structured Analysis and Design Technique) and TOGAF (The Open Group Architecture Framework) methodologies. Results. Developed metamodel of KMS architecture shows application of SADT and TOGAF methodologies on a given subject area in order to create knowledge ma-nagement system of industrial enterprise and higher education institution. Developed functional model describes mechanism of how knowledge is collected and formalized in form of hypertext and productional knowledge bases when conducting collaborative projects and their transfer to industries KMS. Conclusion. Developed productional rules allow integration of organizational and functional structure of enterprise and higher education institution from point of advancing IT efficiency, to create a central intelligent sphere when conducting collaborative projects, to allow knowledge collection at local knowledge management systems and to transfer this knowledge in industry enterprises.
Study of nonlinear digital filtering of signals using generative competitive neural network
Authors:   South Ural State University, Tsibulis Dmitry E. , Ragozin Andrey N. ,   South Ural State University, Darovskikh Stanislav N. ,   South Ural State University, Kulganatov Askar Z. ,   South Ural State University
Published: May 2022

The article presents the results of the study, as well as the structural schemes and parameters of the components of the generative-adversarial neural network. Graphical images of the results of filtering radio signals are given. Conclusions are drawn about the possibilities of using these neural networks. The purpose of the study. Substantiation of the possibilities of using generative-sensory artificial neural networks to solve problems of digital processing of radio signals. Materials and methods. To evaluate the results of digital filtering of noisy signals, the method of mathematical modeling in the Matlab environment was used. As test signals, the following were taken: a sine wave, a signal in the form of a sum of sinusoids, a model of a real radio-technical information signal. White Gaussian noise is used as the noise component. Also, filtering of the signal is carried out, in which there is no fragment of a certain length. A training sample was generated for the neural network of the generator, consisting of noisy test signals. A training sample of the discriminator neural network was also generated, consisting of test signals that do not contain noise. Results. Based on the simulation, it is concluded that the generative-adversarial neural network successfully solves the problems of isolating a useful signal in a mixture of it with noise of various physical nature. Such a neural network structure is also able to restore a useful signal if any part of it is missing as a result of external interference. Conclusion. The existing methods of digital filtering of radio signals require certain labor and time costs associated with the calculation of digital filters. Also, when designing high-order filters, it becomes difficult to calculate these filters. The idea of using a neural network in filtering tasks makes it possible to significantly reduce the filter design time, thus simplifying the process of its implementation. A neural network, which is a self-learning system, can find solutions that are inaccessible to conventional digital filtering algorithms. The results of this work can find their application in the field of digital signal processing and in the development of software-configurable radio.
Optimum Control of Grid-Connected Solar Power System Under Asymmetrical Voltage Drop
Authors: Nguyen Van Binh
Published: May 2022

Solar power systems are now gradually dominating in providing clean, environmentally friendly energy and human health. In areas with a large share of solar power, grid connection control plays a key role in ensuring operational quality and stability, especially in the event of a grid failure. In case of asymmetrical voltage drop, the control system needs to maintain operation and create a function to assist in restoring the power grid. This study proposes a method to control the solar power system in the condition of asymmetric grid voltage drop based on the method of controlling symmetrical components. Controllers for each of the forward and inverse components are built to limit the effects of failures. The optimal control parameter calculation method is also proposed to improve the overall quality and minimize the undesired variation of the electromagnetic quantities. The simulation and experimental results are verified to evaluate the effectiveness of the grid-connected control method in converting DC power to three-phase power.
Strengthening Governance of Waqf in the Kingdom of Saudi Arabia: Status, obstacles, and institutional transformation
Authors: AlNemer Hashem
Published: May 2022

Waqf is considered as an important institution in the Islamic world for enhancing socio-economic development and increasingly attracting public interest with respect to accountability and transparency in its governance. Thus, the public has continued to demand greater clarity and best services from the institutions of waqf, especially when it comes from a country like Saudi Arabia, which possesses the most valuable waqf industry in the world. As 74% of the endowments of Waqf entities in Saudi Arabia are unknown with missing information and reports, there are many accusations about the efficiency and inability of the current waqf regulations and standards to control. The Saudi Vision 2030 asserts the importance of Waqf in financing and enhancing the socio-economic projects with a prediction growth plan to reach SR 350B by 2030. This paper explores the existing regulations and standards used by the Saudi Waqf Authority to manage and control local waqf institutions. A qualitative approach has been used to assess the obstacles, investment channels, the emergence of a new awqaf system, and the way forward for the new waqf Authority in Saudi Arabia through appraisal of documents and publications and in-depth interviews of key stakeholders. Based on the findings, several recommendations have been made to adopt the best Waqf practices, regulations, and governance.
How Selection of a Target Feature Impacts Corrective Feedback: Finding Answers Through Meta-Analysis of Chinese EFL Learners
Authors: Schenck Andrew
Published: May 2022

Rather than looking at variables like grammatical feature type, proficiency, and L1 as separate, we must start to view them as interrelated and codependent. In this way, educators may finally learn how to maximize the effect of corrective feedback (CF). A meta-analysis of 13 studies was conducted to examine four styles of CF (implicit prompt, implicit reformulation, explicit prompt, and explicit reformulation) along with the following variables: grammatical feature type, L1 similarity (with Mandarin Chinese), and proficiency level. Results suggest that effect size is highly dependent upon the grammatical feature targeted. Explicit feedback appears to have a scaffolding effect for more semantically or syntactically complex grammatical features. Implicit reformulations (recasts) also provide scaffolding, yielding larger effect sizes than implicit prompts when used with L1 dissimilar features that are more semantically or syntactically complex.
Transformative Learning: Intercultural Adaptation of Chinese Teachers at the Confucius Institute in Spain
Authors: Fernández-Álvarez Óscar , Li Qiuyang , Chen Chen
Published: May 2022

In recent years there has been a proliferation of studies demonstrating the value of teaching abroad as much for its benefits for the training and professional development of these teachers, as for its impact and beneficial effects on students. This article uses transformative learning as a theoretical framework to interpret the achievements associated with the experience of teaching abroad, and to identify and analyze different motivational factors, adjustments, changes, challenges, and perspectives of Chinese teachers linked to a Confucius Institute in Spain, through a qualitative analysis of narratives elicited through in-depth interviews and focus groups. It highlights the role and potential of the transnational, intercultural experience of these teachers as authentic actors in the part played by the Confucius Institutes in language teaching and the promotion of Chinese culture, indicating many issues including language difficulties, professional adjustment, ideas about education, beliefs of teachers and the management of the program.
Multi-objective optimal capacity allocation of integrated energy system with co-evolution mechanism
Authors: Liu Xiaoou
Published: May 2022

With the deepening of multi-energy flow coupling and the diversification of energy utilization demand, integrated energy system (IES) puts forward higher requirements for the economy and reliability of capacity allocation scheme. However, there is a complex relationship between economy and reliability, which makes it difficult for them to achieve coordinated optimization. Therefore, an economic and reliability optimal capacity allocation method of IES based on improved co-evolution algorithm is proposed. Firstly, the timing scenario reduction method of “wind power-electrical load” based on ordered clustering algorithm and K-means clustering algorithm is proposed. Aiming at minimizing the expected annual cost of construction investment, operation and maintenance, carbon emission and energy purchase cost, and constrained by equipment operation and energy flow balance, a multi-scenario economic operation model is constructed. Considering the dissatisfaction degree of comprehensive energy consumption, the energy supply reliability evaluation model based on Markov chain Monte Carlo (MCMC) method is established. On this basis, the IES multi-objective optimal capacity allocation model is established. Further, based on the orthogonal test method, the influence factors of decision variables on IES economy and reliability are calculated, and the evolution subpopulation of economy and reliability is established, and then the optimization model’s solution method based on improved co-evolution algorithm is proposed. Finally, an example simulation analysis is carried out combined with the actual data of a certain region. The simulation results show that the proposed model can cooperatively improve the economy and reliability of IES capacity allocation scheme, and provide a reference for the optimal capacity allocation of equipment in IES.
Simulation of the crystallization processes by population balance model using a linear separation method
Authors: Pinar Izgi Zehra
Published: May 2022

Crystallization problem is one of the popular problems in wide area of science. The first principles are not used to design a crystallizer in which complicated processes include nucleation, crystal growth, attrition and agglomeration of crystals. It is modeled by the population balance model, which is one of the important models of mathematical biology and engineering, is a nonlinear partial integro-differential equation and examines the exchange of particles and the production of new particles in a system of particles. For the crystallization problem, one-dimensional and multi-dimensional models are considered and semi-analytical solutions are obtained via the linear separation method.
Delta-shock for a class of strictly hyperbolic systems of conservation laws
Authors: Li Shiwei
Published: May 2022

In this paper, a class of strictly hyperbolic systems of conservation laws which arises in connection with enhanced oil recovery is studied. The Riemann problem is solved analytically. The Riemann solutions with two kinds of different structures involving the delta-shock are obtained. For delta-shock, the generalized Rankine–Hugoniot relations and over-compressive delta-entropy condition are clarified. Further, the existence and uniqueness of delta-shock are established. The theoretical analysis is tested accurately by the numerical results.
The Cădariu–Radu method for existence, uniqueness and Gauss Hypergeometric stability of a class of Ξ-Hilfer fractional differential equations
Authors: Aderyani Safoura Rezaei , Saadati Reza , O’Regan Donal
Published: May 2022

In this paper, we apply the Cădariu–Radu method derived from the Diaz–Margolis theorem to investigate existence, uniqueness approximation of Ξ-Hilfer fractional differential equations, and Hypergeometric stability for both finite and infinite domains. An example is given to illustrate the main result for a fractional system.
Image retrieval based on weighted nearest neighbor tag prediction
Authors: Yao Qi , Jiang Dayang , Ding Xiancheng
Published: May 2022

With the development of communication and computer technology, the application of big data technology has become increasingly widespread. Reasonable, effective, and fast retrieval methods for querying information from massive data have become an important content of current research. This article provides an image retrieval method based on the weighted nearest neighbor label prediction for the problem of automatic image annotation and keyword image retrieval. In order to improve the performance of the test method, scientific experimental verification was implemented. The nearest neighbor weights are determined by maximizing the training image annotation, and experiments are carried out from multiple angles based on the Mahalanobis metric learning integration model. The experimental results show that the proposed tag correlation prediction propagation model has obvious improvements in accuracy, recall rate, break-even point, and overall average accuracy performance compared with other widely used algorithm models.
Between exonormative traditions and local acceptance: A corpus-linguistic study of modals of obligation and spatial prepositions in spoken Ugandan English
Authors: Isingoma Bebwa , Meierkord Christiane
Published: May 2022

Research into Ugandan English places it in the nativisation phase of the evolution of Englishes, amidst a nexus of local acceptance with ingredients of endonormativity and ingrained exonormative traditions. The current study shows how the use of modal verbs of obligation and spatial prepositions provides insights into how the nexus of the above phenomena has shaped Ugandan English. For example, although the preference of have to over must is a global trend, in Ugandan English, it is more prevalent in Bantu-speaking than in Nilotic-speaking areas because of substrate influence. Crucially, although the use of spatial prepositions is generally similar to how they are used in, for example, (standard) British English, the peculiar use of from to encode stative location in Ugandan English is, despite some regional variations, so widespread in the country that it tends towards endonormative stabilisation.
Tellurium in carbohydrate synthesis
Authors: Das Aparna , Ray Devalina , Banik Bimal Krishna
Published: May 2022

In this article, we discuss about the influence of tellurium in carbohydrate synthesis. Mainly the chapter focuses on the importance of the tellurium during the synthesis of glycosides and during the oxidation of glucose.
The Vienna Genesis: An Example of Late Antique Purple Parchment
Authors: Hofmann Christa , Vnouček Jiří , Rabitsch Sophie , Aceto Maurizio , Melo Maria João , Malissa Antonia , Uhlir Katharina , Griesser Martina , Hradil Klaudia , Erlach Rudolf , Quandt Abigail , Sonderegger Junko , Fiddyment Sarah , Collins Matthew
Published: May 2022

The investigation and conservation of the Vienna Genesis, a Late Antique manuscript on purple parchment, included the study of parchment production and purple dyeing in the sixth century. The process of parchment making and of purple dyeing was recreated and compared with the Vienna Genesis and other manuscripts from the sixth and eighth centuries. Parchment made from the hides of young lambs and dyed with orchil resembled the folios of the Vienna Genesis. The results of material analysis and the study of parchment technology influenced decisions for the conservation and storage of the manuscript. Fragile areas of ink and parchment were stabilised with strips of adhesive coated Japanese tissue paper. The single folios are stored in folders of Japanese paper and museum matboard within a sink mat.
Effect of water contaminated with hand washing liquid on germination characteristics of wheat, flax, and lentil
Authors: Heidari Hassan , Parhoon Zahra
Published: May 2022

Due to climate change and declining water resources, some farmers are turning to wastewater. One of water pollutants is household detergent. To examine this, a study was conducted to determine the effect of water contaminated with hand washing liquid on the germination characteristics of wheat, flax, and lentil in a completely randomized design with three replications in 2020. Experimental treatments included water contaminated with different concentrations of hand washing liquid ((0, 0.01, 0.1, 1, and 10)%) of hand washing liquid in water). The results showed that with increasing concentration of the contaminant in the water, the germination percentage, the caulicle length, and the radicle length of wheat, flax and lentil decreased. It was observed that wheat had a higher resistance to hand washing liquid than lentil and flax so that at a concentration of 0.01% and 0.1%, the wheat radicle was still growing. It is recommended to avoid irrigating plants with contaminated water with high amounts of hand washing liquid.
Study on the formation and stability of polyol-in-oil emulsion
Authors: Zhang Wanping , Chen Lin , Shen Xingliang , Wang Yaping , Fang Xiang , Zhang Qianjie
Published: May 2022

In this study, the influence of polyols, emulsifiers and oils on the formation and stability of polyol-in-oil (P/O) emulsions was investigated. The interfacial tension in P/O systems is much lower than that of water-oil systems, so polyols and oils showed a greater affinity, which was not conducive to the stability of the emulsion system. High compatibility of the emulsifier and the inner and outer phases was the key to the formation of stable emulsions. Using polyethylene glycol 400 (PEG) as polyol phase, mineral oil or squalane as oil phase and cetyl PEG/PPG-10/1 dimethicone (EM 90) as emulsifier, long-term stable P/O emulsions with homogeneous droplets were successfully prepared.