bluuebunny/crossref_metadata_2025 huggingface dataset:
Different paths to COVID-19’s conspiratorial beliefs for the religious and spiritual: The roles of analytic and open-minded thinking
Authors: Brzóska Paweł , Nowak Bartłomiej , Piotrowski Jarosław , Żemojtel-Piotrowska Magdalena , Sawicki Artur Józef , Jonason Peter
Published: November 2022

With the threat of COVID-19, conspiratorial beliefs have proliferated, and people’s religiosity has risen. However, religiosity may only capture a narrow range of people’s meta-physical beliefs, spirituality may capture other aspects, and both of which may be associated with conspiratorial beliefs differently. To better understand the distinction between these traits, in a community sample of 662 Poles, we examined the correlations between them and misperceptions about COVID-19 (i.e., conspiracy and false factual beliefs) and the mediating role of analytic thinking and a tendency to be open-minded about evidence. Religiosity and spirituality were associated with misperceptions—directly and indirectly—but the associations were positive in the former and negative in the latter. The research points to the importance of studying both religiosity and spirituality in the context of cognition and misperceptions.
Opportunity Hoarding and Elite Reproduction: School Segregation in Post-Apartheid South Africa
Authors: Gruijters Rob J. , Elbers Benjamin , Reddy Vijay
Published: November 2022

School integration is an important indicator of equality of opportunity and racial reconciliation in contemporary South Africa. Despite its prominence in public and political discourse, however, there is no systemic evidence on the levels and patterns of school segregation. Drawing on the literature on the post-apartheid political settlement and sociological theories of opportunity hoarding, we explain how the small White minority and, to a lesser extent, the new Black middle class monopolized access to South Africa’s most prestigious schools following the abolition of de jure segregation in 1994. Using the 2021 Annual School Survey—an administrative dataset covering all South African schools—and the 2019 TIMSS school survey, we find very high levels of school segregation along racial as well as socioeconomic lines. White students almost exclusively attend former White schools, have little exposure to the low-income Black majority, and are vastly overrepresented in elite public and private schools. We argue that in South Africa and other contexts with under-resourced education systems, elite capture of the few high-performing schools serves to reproduce race and class privilege.
A voz da quebrada: aberrâncias biográficas, friccionalidades e transgressão do cistema
Authors: Neves Thiago Tavares das , Postinguel Danilo
Published: November 2022

Analisamos, a partir de Linn da Quebrada, as dinâmicas de negociação da cultura pop com a subalternidade por meio de aberrâncias audiovisuais, estudos de gênero e transgressão. Linn, opera como uma chave epistemológica para entender as interseções entre os estudos de gênero e a comunicação. Assumimos como recurso metodológico as letras de suas músicas, que compreendidas como materialidades comunicacionais, narram não apenas a trajetória de vida da cantora, mas uma identidade coletiva de gênero abjeta.
Acervo secular inédito revela ao mundo o fotógrafo amador estereoscópico Manoel Dantas
Authors: Passos Renata Luz , Nobre Itamar de Morais
Published: November 2022

Em pesquisa documental, perfilamos biograficamente o potiguar Manoel Dantas (1867-1924), como fotógrafo estereoscópico amador do início do séc. XX. Partimos do acesso inédito a 2.146 fotografias em vidro, objetos e documentos de seu acervo. Objetivamos investigar os usos e funções que este intelectual destinou às imagens. Acreditamos que as práticas deste fotógrafo, ainda anônimo, pode oferecer novos dados para a história da mídia.
The Principal's Role in Improving Teacher Professionalism at Madrasah Ibtidaiyah Negeri
Authors: Mariani Ari , Wanto Deri , Yanto Murni
Published: November 2022

This study aims to present or find a description of the principal's role in improving teachers' professionalism at Madrasah Ibtidaiyah Negeri (MIN) 03 Kepahiang. The method used in this study is a qualitative method with a descriptive approach. Data was obtained and collected through interviews and observations. The data analysis technique used to obtain valid data uses data reduction (summarizing), data presentation (a collection of information), and concluding (whole description). The conclusion obtained from this research is that the principal's role in improving teachers' professionalism at Madrasah Ibtidaiyah Negeri (MIN) 03 Kepahiang has a role as a manager, educator, motivator, and supervisor. Efforts made by school principals are to provide coaching and training such as professional teacher training (TPT), as well as assigning tasks according to expertise in their respective fields. The principal's efforts in improving teachers' professionalism are carried out to realize the goals, vision, and mission of education. The principal's role in increasing teacher professionalism uses participatory and situational leadership styles. Teachers can develop their abilities according to their respective competencies without being limited; there is the provision of coaching and training that will be followed by teachers at Madrasah Ibtidaiyah Negeri (MIN) 03 Kepahiang such as teacher
Vücut Seslerinden Bölge Tanımlanması için İdeal Kayıt Süresinin Belirlenmesinde MFCC ve GTCC Özniteliklerinin Etkisinin Karşılaştırılması
Authors: BALLİ Osman
Published: November 2022

İnsan vücudunun durumu hakkında bilgi almak için yapılabilecek en hızlı yöntemlerden birisi vücut seslerini analiz etmektir. Seslerin dijital ortama aktarılabilmesi bu analizi kolaylaştırmaktadır. Bu çalışmada kalp, akciğer ve karın bölgelerinden alınan ses verilerinden bölge tespiti yapılmıştır. Eğitimde 12 kişiden alınan 4000 örnekleme frekansına sahip 20s lik veriler kullanılmıştır. Veriler 9 farklı saniyede incelenmiştir. Her bir saniye için tüm veriler bölünmüş ve eğitim için hazırlanmıştır. MFCC ve GTCC kullanılarak öznitelikler çıkarılmış ve bu öznitelikler CNN modelinde eğitilmiştir. MFCC ve GTCC katsayılarının sonuçlar üzerindeki etkisi kıyaslanmıştır. Eğitimde en iyi sonuç %98 ile 1,5 saniyelik kayıtlardan alınan MFCC katsayısından, validationlarda ise en iyi sonuç %85 ile 1 saniyelik kayıtların MFCC katsayılarından elde edilmiştir. Genel validation sonuçlarına bakıldığında MFCC sonuçlarının daha başarılı olduğu görülmüştür.
ISM 2.4 GHz Band Antenna Model for RF Energy Harvesting Systems
Authors: GÖÇEN Cem , AKDAG Ismail , BELEN Mehmet Ali , MAHOUTİ Peyman , KAYA Adnan , PALANDÖKEN Merih
Published: November 2022

In today’s world many technological devices can operate with very low power levels. Despite this situation, these devices need to be fed with a sustainable energy source and constantly charged. This low level power need can be attained from ambient electromagnetic waves from any radio frequency sources. Radio frequency energy harvesting systems can be offered to feed these type of devices and these systems have been used in many areas in recent years. In this study, an antenna designment that can be used in RF energy harvesting systems is emphasized. Within the scope of this study, an RF energy harvesting antenna operating at 2.4 GHz frequency has been modeled. The electromagnetic performance and antenna fundamental parameters of the RF energy harvesting antenna are numerically calculated using a commercial 3D based on a transmission line matrix (TLM) and the finite integration technique (FIT). The physical extents of the antenna are 35 x 28 x 1.6 mm. The proposed RF energy harvesting antenna has 2.1 dBi directivty and %98.1 radiation efficiency performance parameters. The antenna proposed here can be have usage areas such as an RF energy harvesting antenna for low-power medical devices, self sustainable wireless devices in Internet of Things (IoT), Wireless Body Sensor Network (WBSN) devices.
Study of refractory raw materials of the Republic of Kazakhstan
Authors:   Karaganda Technical University named after Abylkas Saginov, Sidorina E.A. , Isagulov A.Z. ,   Karaganda Technical University named after Abylkas Saginov, Rabatuly M. ,   Karaganda Technical University named after Abylkas Saginov, Nogaeva K.A. ,   Kyrgyz State University of Geology, Mining and Development of Natural Resources Named after Academician Usengazy Hassanali
Published: November 2022

Important aspects of increasing the competitiveness of domestic metallurgy and mechanical engineering are increasing the durability of thermal units and involving non-traditional, cheaper energy resources in production. One of these resources is carbon waste from the aluminum industry - electrode scrap and waste from the carbon lining of electrolyzers. The problem of their use as substitutes for solid fuels (coke coal) in the metallurgical, engineering and energy industries is fluorine- and alkali-containing salts that impregnate them, destroying the traditional lining of thermal units. The development of effective refractories resistant to fluorine- and alkali-containing corrodants (melts and gases) makes it possible to increase the competitiveness and efficiency of thermal units both through the use of cheaper energy carriers and by increasing the duration of their campaign. An important aspect is the simultaneous disposal of hazardous industrial waste and the reduction of the environmental burden on the ecosphere of the Republic of Kazakhstan. The basis for the development of new refractory materials resistant to fluorine- and alkali-containing corrodants is the analysis of the existing raw material base of the Republic of Kazakhstan and the choice of materials that make it possible to obtain aluminosilicate refractories with increased chemical resistance. In the work, the phase and chemical composition of refractory clays and kaolins of the Republic of Kazakhstan were studied, their rheological and thermophysical properties were investigated. Selected raw materials for the development of technology for the production of dense aluminosilicate refractory products.
Investigation of optical and physico-chemical properties of titanium-doped V₂O₅ nanofilms
Authors:   Akhmet Yassawi International Kazakh-Turkish University, Aimbetova I. , Jiménez-Castañeda R. ,   University of Cadiz, Clavijo-Blanco J. ,   University of Cadiz, Umirov B. ,   Akhmet Yassawi International Kazakh-Turkish University, Seitov B. ,   Akhmet Yassawi International Kazakh-Turkish University
Published: November 2022

In this paper, undoped and Ti-doped V2O5 thin ﬁlms were fabricated and deposited onto glass substrates using a «doctor blading» method. Then, the effects of Ti-doping on the optical properties of the thin ﬁlms were investigated. Titanium doping concentration of 0.25-0.75 at.% has been investigated. After treatment in air at different temperatures, the obtained films was characterised by various techniques such as scanning electron microscopy (SEM), X-ray diffraction (XRD) and photoluminescence (PL). It was found that the as-obtained doped films possessed thermochromic properties and optical switching characters. According to optical tests, thin linings of vanadium dioxide alloyed with Ti have optical properties that are effective for application. Because of their capacity to automatically control interior solar irradiation, lower air-conditioning energy consumption, and maintain a comfortable internal thermal climate, smart windows have drawn increased interest in recent years. The doping strategy and integrating with functional coatings can regulate the properties of obtained V2O5 ﬁlms.
Extraction of gold from low-sulfide gold-bearing ores by beneficiating method using a pressure generator for pulp microaeration
Authors:   “Institute of Metallurgy and Ore Beneficiation” JSC, Toktar G. ,   Satbayev University, Magomedov D.R. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Коizhanova A.K. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Abdyldaev N.N. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University, Bakraeva A.N. ,   “Institute of Metallurgy and Ore Beneficiation” JSC; Satbayev University
Published: November 2022

Research results on the study of the material composition of low-sulfide gold-bearing ore from the East Kazakhstan deposit are presented. The main non-metallic minerals of the original sample and beneficiation products include quartz, chlorite (clinochlore), carbonates (calcite and dolomite). Pyrite is present predominantly in the form of cubic crystals, sometimes in the form of clusters. The grain size is from 0.03 to 0.40.5 mm, the size of the clusters reaches several mm. Iron oxides (goethite, hydrogoethite) were formed on pyrite, possibly magnetite and ilmenite. The assay test found that the test sample contains 6.04 g/t Au and 7.9 g/t Ag. The content of sulfide minerals is 11.81%. A significant part of gold (85.51%) is in a finely disseminated state in sulfides, as well as in rock-forming minerals 1.22%. The paper presents the results of laboratory studies of the gold- ore beneficiation ability using gravity concentration processes. Gravity enrichment tests were performed on laboratory equipment: Knelson KS-MD 3 centrifugal concentrator, SKO-05 concentration table, and a two-chamber diaphragm jig (OML TsNIGRI type (jig of Central Geological Research Institute for Nonferrous and Precious Metals)). The obtained results of ore beneficiation on the concentration table show the possibility of obtaining a gravity concentrate with a gold grade of 48.9 g/t with a gold recovery of 40.08%. When separating the gravity concentrate on a jig, the gold extraction was 31.6% at a content of 51.4 g/t. It was found that that according to a single-stage beneficiation scheme in a centrifugal concentrator, a gold-bearing concentrate with a gold content of 58.3 g/t was obtained with a recovery of 80.6%. The dependence of the gold extraction and its content in the gravity concentrate on the output at the Knelson centrifugal concentrator is shown. The results of ore flotation beneficiation show the possibility of obtaining waste grade flotation tailings with a gold grade of 0.8 g/t. The extraction of gold into the combined concentrate, with a gold content of 49.7 g/t, is 88.88%.
A study on the application feasibility of McClusky's Educational Needs of the Ageing as a theoretical framework for the analysis of older adults’ educational needs
Authors:   Korean Society of Educational Gerontology, Choi Soo Yeon , Choi Ilseon
Published: November 2022

As the elderly population grows and its dynamics change, there is an increasing demand for expanding the diversity of and improving the quality of old adult education programs. Therefore, as a theoretical framework for systematically analyzing the educational needs of the older adults, the applicability of McClusky's Educational Needs of the Ageing was examined. McClusky identified five educational needs: coping needs, expressive needs, contributive needs, influence needs, the need for transcendence. McClusky’s Educational Needs of the Ageing is an educational perspective based on life-span development, and it is a meaningful reference frame to evaluate the efficacy and comprehensiveness of an elderly education program.
Through the evaluation of McClusky’s Educational Needs in terms of ageing discourse and changes in social approaches to old age, it was confirmed that while coping and expressive needs are the main focus of current old adult education programs, contributive, influence, and transcendence needs are equally important.
Therefore, we argue that a balanced approach to the five Educational Needs is necessary. In addition, we re-evaluated the contributive, influence, and transcendence needs by reflecting on the evolution of societal perceptions on old age and role of the older adults.
Is the exchange of support with parents-in-laws and with pro-parents fair?
Authors:   Korean Society of Educational Gerontology, Suh Jung Bun , Han Jungran , Lee Nam , Yang Hee
Published: November 2022

The purpose of this study was to investigate the reciprocity of intergenerational support exchanges and its characteristics which married women feel in the intergenerational relationship with their own parents and parents-in-law. For the purpose, we investigated the reciprocity of intergenerational support exchanges on 327 married women with children attending kindergartens in Chungcheongnam-Do using a structured questionnaire. To verify the difference between groups, we conducted t-test, one-way ANOVA, and paired t-test using SPSS 21.0. The main results were as follows: 1) In the relationship with parents-in-law, the subjects felt that they were giving more total, instrumental, economic, and information support to their parents-in-law than they were receiving from their parents-in-law; 2) On the contrary, the subjects felt that they were receiving more total, emotional, and informational support from their pro-parents than they were giving to their pro-parents were; 3) The subjects showed matrilinealization or bilateralization that they received more emotional, instrumental, economic, informational, and total support from their pro-parents than form their parents-in-law, and they gave more emotional, instrumental, informational, and total support to their pro-parents than to their parents-in-law. Finally, based on the research results, we proposed some suggestions to resolve family problems and intergenerational conflicts in the future.
A Study on the Effect of Sense of IBASHO on Life Satisfaction in the Elderly : Home and The Third Place
Authors:   Korean Society of Educational Gerontology, Ko EunJung , Shin SooKyung , Kim ByoungNyun , Kim HyunMin , Seo JongGun , Lee BbeunSae
Published: November 2022

The purpose of this study is to examines the effect of the elderly's place experience on the satisfaction of life in old age. We measured the ‘Sense of IBASHO’ by the elderly at home and in the ‘third place’ with a Korean version of the sense of IBASHO scale(K-SIS). Sense of IBASHO includes complex elements and it means ‘a place where you can feel like yourself'. The subjects were elderly people over the age of 65 years living in Seoul and Gyeonggi-do. Results Showed that the Sense of IBASHO had a positive effect on the life-satisfaction of the elderly. First, physical and social factors in the Sense of IBASHO experienced at home are factors that increase life-satisfaction and lower negative emotions. Second, the higher the physical aspect of Sense of IBASHO in the third place, the higher the life-satisfaction and positive emotion. In addition, the higher the personal aspect of Sense of IBASHO, the lower the negative emotion and the higher the self-worth perception. In conclusion, in order to increase the life-satisfaction of the elderly, it is important to consider the difference between home and the third place to obtain the Sense of IBASHO. Based on the results, we discussed the policies and practical approaches of social welfare.
Vietnamese teacher educators’ perceptions of silence during online English as a Foreign Language classes
Authors: Huynh Hoang Huy , Adams Megan
Published: November 2022

Teacher educators in university English as foreign language (EFL) classrooms often emphasise verbal communication alongside teacher-student relationships, students’ emotions, and the classroom climate. These factors all contribute to either encourage or discourage students’ willingness to communicate verbally (Butler, 2011). Yet, an area with limited research is understanding the teachers' perspectives of students' silence during online learning throughout the COVID-19 pandemic. Utilising Redmond et al.’s (2018) conceptual model of cognitive, behavioural, and emotional engagement in online learning, we examine how three undergraduate EFL teacher educators in Vietnam interpret students’ silence while teaching EFL through online Zoom classes. Drawing on three in-depth semi-structured interviews (n=3 hours), findings indicated that silence was experienced by the teacher educators in different ways; as a thinking/learning opportunity, an indication of teachers' uncertainty, and as conscious disengagement.
Silence as a pedagogical issue: Heuristic perspectives
Authors: Kоrol Andrei D
Published: November 2022

The article is aimed to specify the concept of “silence” from the view point of pedagogy on the basis of literature sources analysis, to reveal methodological foundations for designing the didactics of silence, its content, forms and methods. The role and place of silence in learning is examined on the basis of a synthesis of extensive cultural, historical, philosophical and pedagogical experience. Pedagogical silence is considered in two ways: silence as a stage when there is nothing to say and silence as a competence where the student “reveals” himself – meanings, goals, his mission – and creates his own knowledge. Special attention is given to the relationship of silence, “interrogation” and heuristics. Speaking and silence reflect two fundamental ways of existence of a human being – their expansion outside and their deepening inward both having two basis views on the nature of the world and man in it. That involves the differences in the atomistic and wave nature of consciousness, thinking, and language characteristic of civilizations of the Western and Eastern cultural types. A philosophical and methodological basis for silence in learning based on a heuristic dialogue has been drawn up. The author conducted a comprehensive analysis and summed up the experience in the field of studying the topic of silence presented a holistic view of the main components of didactics of silence: goals, content, methods, assessment criteria. The scholar also elaborated a methodology, technology, tasks, assessment criteria and structure of the lesson content using silence methods. The author found that silence competency correlates with questioning competency.
Entrepreneurship Education, Orientation, and Internship Motivation as Antecedents of Higher Students Intention for Entrepreneurship
Authors: Narmaditya B. S. , Seprillina L. , Istiqomah N. , Radzi N. B. M. , Wibowo A. , Sahid S.
Published: November 2022

The entrepreneurial intention takes a major role in providing a new business creation. Despite major studies that have shown that entrepreneurship education is influential in driving intentions, few discuss this relationship by involving individual entrepreneurial orientation and internship motivation. This study is designed to investigate determinant factors affecting university students’ entrepreneurial intentions. To understand the nexus between entrepreneurship education and college students’ entrepreneurial intention, the hypotheses provide the intermediary role of entrepreneurial orientation, and this study presents evidence from Indonesia on the link between internships and intention for business. Using structural equation modeling (SEM) with partial least squares (PLS), the findings indicate that students’ entrepreneurial orientation and entrepreneurship education can drive students’ internship motivation and intention for entrepreneurship. Furthermore, it is de monstrated that internship motivation can moderate the link between entrepreneurial orientation, entrepreneurship education, and university students’ entrepreneurial intention.
How to Attract Women in STEM and Help Them Become Successful: The Review of Practices of Overcoming Gender Stereotypes
Authors: Maloshonok N. G. , Shcheglova I. A. , Vilkova K. A. , Abramova M. O.
Published: November 2022

Gender imbalance among students in STEM (Science, Technology, Engineering and Mathematics) is a worldwide problem leading to negative social and economic consequences. Despite the widespread “myth of gender equality” in Russia, this problem is also relevant for our country. The share of male students in most STEM fields in Russian universities significantly exceeds the share of female students, especially in engineering and technical fields. The article is aimed at analyzing the existing experience of combating gender stereotypes in STEM educational programs. It provides an overview of seven types of practices: 1) informing girls about gender stereotypes and their negative consequences; 2) practices aimed at developing “growth mindset”; 3) influence through “role models” and the formation of friendship networks based on interest in STEM; 4) class composition management; 5) organization of active learning; 6) emphasis on the public benefit of career in STEM; 7) creating a positive climate through working with stereotypes of male teachers and students. The article also discusses the applicability of these practices in the Russian educational context.
A novel approach to fuzzy c-Means clustering using kernel function
Authors: Kochuveettil Ani Davis , Mathew Raj
Published: November 2022

Clustering is an unsupervised procedure that divides a set of objects into homogeneous groups. Two types of clustering are possible, Hard clustering and Soft clustering/Fuzzy clustering. Hard clustering is not feasible for complex datasets that contain uncertainty and overlapping clusters, whereas fuzzy clustering efficiently handles it. FCM is sensitive to the initial values and challenging to cluster nonlinear data. A new approach is implemented here with the Fuzzy c-Means (FCM) clustering algorithm to improve the performance. The Kernel function ensures the linear separability of complex clusters by projecting the feature space into a higher dimension and not subject to the initial values. The Kernel-based FCM (KFCM) optimized the clustering. The relevant features are considered for clustering, and it improves the validity of clusters. The irrelevant features blur the clusters and reduce the quality. Silhouette index (SI) and Davies-Bouldin index (DBI) have been used as the evaluation function. The experiments are conducted on two benchmark datasets and one artificial dataset. The result justifies Kernel-based FCM, and the superiority of features reduced Kernel-based FCM clustering over other traditional fuzzy clustering techniques.
An intelligent big data analytics method for two-dimensional non-residential building energy forecasting
Authors: Nichiforov Cristina , Martinez-Molina Antonio , Alamaniotis Miltiadis
Published: November 2022

The wide use of sensor and information technologies in buildings resulted in the massive generation of data related to its operation. Thus, there is a need for identifying patterns in data that they may use for the optimal operation of the buildings. The case of non-residential building characteristically provides a big volume of data whose analysis requires computational efficient methods. In this paper, we introduce a new big data analytic method that is applicable to forecasting energy demand in non-residential buildings. The goal is to make energy forecasts in a two-dimensional (2D) space defined by i) the electricity load and ii) gas demand. The proposed method combines the matrix profile (MP) method with a Long-Short Term Memory (LSTM) neural network. The combination of the above tools provides an efficient method in 2D hour ahead forecasting with the big data environment of smart buildings. In specific, with respect to mean average percentage error (MAPE) the combined MP-LSTM method provides a concurrent forecast of electricity and gas around 3% and 4%, respectively.
A fuzzy-based mechanism for automatic personalized assessment in an e-learning system for computer programming
Authors: Chrysafiadi Konstantina , Virvou Maria , Tsihrintzis George A.
Published: November 2022

Testing is a significant part of the teaching and learning process. An assessment test has to include test items that are tailored to the individual learning needs of the students in order to be more accurate and support learning in a more effective way. In this paper, a fuzzy-based mechanism is presented for automatic personalized assessment in an e-learning system for computer programming. Particularly, the selection of the most appropriate test items for each individual student is based on a variety of criteria: (i) the student’s knowledge level, (ii) the student’s prior knowledge of computer programming, (iii) the type of programming errors that the student is prone to make, and (iv) the difficulty level of the test items. Linguistic values are used to determine these criteria. Additionally, 45 fuzzy rules are used over these criteria, which imitate the way of thinking of human tutors with regard to deciding about the most appropriate test items that have to be included in an adaptive test. The presented mechanism was used under real conditions and evaluated by experts and students of the Department of Informatics of the University of Piraeus, Greece with very encouraging results. Specifically, both the participating students and experts found that the presented mechanism creates non-repetitive balanced tests that meet learners’ knowledge level and needs.
Pattern to improve reusability of numerical simulation: Object-Action pattern
Authors: Ichimura Junichi , Nakatani Takako
Published: November 2022

Advances in computer technology have made it possible to simulate various phenomena. In this study, we propose a meta-structure of a physical phenomenon as a pattern for efficient development of simulation systems. We first focus on dynamic phenomena such as simulations of physical phenomena, and clarify the pattern based on the structure of differential algebraic equations. The pattern consists of a phenomenon-independent part (Object) and a phenomenon-dependent part (Action). In addition, variables unique to each phenomenon are given to the relationship between phenomena-dependent terms. By using such a structure, it becomes possible to separate the specific and common parts of each phenomenon, and to define a structure that can be flexibly applied to various problems. In this paper, we present the effectiveness of the pattern by applying the pattern not only to a simulation of physical phenomena, but also to a simulation of infectious diseases. We also show the relationship between Objects as expressed by Action.
Constructing reusable knowledge for machine learning projects based on project practices
Authors: Takeuchi Hironori , Imazaki Kota , Kuno Noriyoshi , Doi Takuo , Motohashi Yosuke
Published: November 2022

Recently, machine learning (ML) techniques have been introduced into various domains. This study focuses on projects for the development of ML-based service systems in which ML techniques are applied to enterprise functions. In these projects, constructing reusable knowledge on projects that develop ML-based service systems is important to effectively implement such projects. Here, the collection of insights and development of architecture and design patterns for ML-based service systems are considered. We propose a method for collecting insights by referring to a development model based on project practices and developing patterns for ML projects as an enterprise architecture model. Through a practice, we attempt to collect insights as best practices and construct design patterns for ML projects using the proposed method.
Digital SDGs framework towards knowledge integration
Authors: Yamamoto Shuichiro
Published: November 2022

The Sustainable Development Goals (SDGs) initiative by corporations requires that their business activities be linked to the 17 SDGs. Moreover, the digital transformation (DX) of enterprises requires the use of digital technology to realize a digital company with competitive advantage. It is inefficient to implement the SDGs and DX initiatives separately in an enterprise. In this paper, we propose a solution to the question, “How do we combine knowledge for the SDGs and DX?”
Hadoop framework integrated hybrid optimization algorithm for privacy preserved clustering mechanism
Authors: Banasode Praveen S. , Padmannavar Sunita S.
Published: November 2022

Big data analysis has gained immense attention throughout classical techniques, which connect in mining the hidden samples from huge data. To relieve computational complexity, the clustering technique is adapted as an imperative part. A novel model is devised for privacy preserved clustering of data with MapReduce framework. The aim is to devise an optimization technique for privacy preservation. The input data is acquired from various distributed sources. The data is further partitioned and fed to MapReduce framework, which consist of mapper and reducer. The mappers perform privacy preservation by encrypting the data with several functionalities, like encryption, Kronecker product and secret key. Here, the secret key generation is performed using proposed Chimp Grey Wolf Optimization (ChGWO) algorithm. The proposed ChGWO is developed by combining Chimp Optimization algorithm (ChOA), and Grey Wolf Optimizer (GWO). The fitness is newly developed considering utility and privacy. The privacy is Jaro Winkler similarity and utility is accuracy. Finally, the data clustering is carried out with the Deep Fuzzy Clustering (DFC). The proposed ChGWO offered enhanced efficiency with highest utility of 92.5%, highest privacy of 91.5% and highest random coefficient 65.9%.
Mathematical modeling analysis of potential attack detection in topology network based on convolutional neural network
Authors: Li Jie
Published: November 2022

New network attack platforms such as personal to personal botnets pose a great threat to cyberspace, but there is no corresponding detection method to detect them. In order to improve the security of topological networks, this research designs a mathematical modeling analysis method for potential attack detection based on convolutional neural networks. This method determines the potential attack risk assessment function through the feature extraction of vulnerable areas in network topology and the probability model of potential attacks, and then detects potential attacks by means of convolutional neural network data modeling. The experimental results show that the false detection rate and missed detection rate of the three methods for potential attacks are lower than 9% and 8% respectively, but the false detection rate and missed detection rate of the method given in the study are the lowest, and can always be kept below 5%. At the same time, the detection time of potential attacks of this method is shorter than that of the other two detection methods. The detection of potential attacks provides a technical guarantee for the safe operation of the network.
Coriolis mass flowmeter signal processing system based on time-varying signal model
Authors: Chen Nan , Xiao Ying , Liu Zhijun
Published: November 2022

In order to improve the signal processing effect and efficiency of Coriolis mass flowmeter, a signal processing system of Coriolis mass flowmeter based on time-varying signal model is designed. Based on the analysis of the structure and working principle of Coriolis mass flowmeter, the environmental factors affecting the performance of Coriolis mass flowmeter are discussed. Based on the above analysis, the signal processing environment is designed, including serial signal processing environment and dual core parallel signal processing environment. Then the effective signal processing of Coriolis mass flowmeter is completed from three aspects: initial processing, phase calculation and frequency tracking. The experimental results show that after the time-varying signal model is applied, a complete signal frame can be collected in less than 50 ms in the pre-processing process, and the signal processing frame can be completed in less than 80 ms in the post-processing process. This shows that the signal processing time of the system is short, and the phase difference detection accuracy of the signal processing system based on the time-varying signal model is high, which is of great value to further improve the application effect of Coriolis mass flowmeter.
Multi-objective genetic algorithm-based wind turbines control
Authors: Yin Jintian , Liu Li , Peng Zhihua , Chen Riheng
Published: November 2022

With the development of science and technology, new energy technology has increasingly become a hot spot of academic research. Today, solar, nuclear, tidal and wind power generation is gradually replacing thermal power generation. Aiming at the configuration problem of traditional wind power generation, this research will optimize the control of wind turbine generator sets, so as to realize the configuration optimization of the entire distribution network. In this study, a MOG (MOG) algorithm control optimization method was introduced. First, each scenario is constructed, and components such as centralized wind power plants are configured and controlled through the internal power flow program; then, decision variables are defined, and three objective functions with trade-off relationships are constructed. Finally, the MOG algorithm is used for iterative solution, and the point with the lowest violation cost is selected as the optimal solution. Simulation experiments including three different configuration scenarios were conducted in MATLAB environment for comparing the influence of different connection modes on distribution network. According to experimental results, the effectiveness of the proposed method is verified and it is proved that the proposed method can be applied to complex distribution networks.
Activity of Immunotherapy Regimens on Primary Renal Tumours: A Systematic Review
Authors: Jones James O. , Ince William H. J. , Welsh Sarah J. , Stewart Grant D.
Published: November 2022

BACKGROUND:

Immune checkpoint inhibitors (ICPIs) are widely used in treating metastatic renal cell carcinoma (RCC). Cytoreductive nephrectomy (CN) forms part of multimodality treatment in advanced disease, however there is no prospective evidence for its use in the ICPI era. Trials of neoadjuvant ICPIs in RCC are underway; understanding the anticipated effect of ICPIs on the primary tumour may help clinical decision making in both localised and advanced settings.

METHODS:

A systematic search (PubMed, Web of Science, clinicaltrials.gov) of English literature from 2012 to 2022 was performed according to PRISMA guidelines. 2,398 records were identified, 54 were included in the analysis.

RESULTS:

In the metastatic setting, response in the primary tumour (≥30% reduction in size) is seen in 33–56% of patients treated with dual ICPI or ICPI + VEGFR-TKI. Pathological complete response rates were 14% for patients undergoing CN after a period of ICPI therapy. In the neoadjuvant setting there is a single published trial of VEGFR-TKI + ICPI, 30% of patients had a≥30% reduction in size of the primary. This appears superior to single agent ICPI. Grade 3 adverse event rates are comparable to the metastatic setting.

CONCLUSIONS:

A period of ICPI combination therapy followed by nephrectomy may be considered for selected patients as a strategy to manage metastatic disease. In the neoadjuvant setting, it is not clear whether ICPI + VEGFR-TKI is superior to VEGFR-TKI alone. There is minimal data on whether either CN after ICPI in metastatic patients, or neoadjuvant ICPI therapy for localised disease, improves long term survival.
Architecture, application and implementation of a digital twin of the RFID-enabled material flow in real-time for automotive intralogistics
Authors: Knapp Henriette , Romagnoli Giovanni , Uckelmann Dieter
Published: November 2022

RFID is used in logistics in the automotive industry to automate processes and optimise material flow. However, the data generated by RFID installations during operation offer more potential for further analyses to collect even more benefits from the technology. Therefore, in this paper, RFID data will be used to create a digital twin of the RFID-enabled material flow (DTRMF) in real-time and to programme various big data analyses. The architecture of the DTRMF must meet various qualitative requirements. Since the big data and digital twin architectures available in the literature either do not optimally fulfil all these requirements, or they are not described in enough detail to support real applications, this paper presents a new digital twin architecture for RFID-enabled material flow. This architecture consists of the data ingestion layer, data processing and analyses layer, data storage layer, visualisation layer, and the optional semantic layer. In addition, suitable technologies for the implementation of the architecture are described, and the feasibility of the architecture is demonstrated and verified by means of a case study.
Prediction of time in industrial chemical accidents: A survival analysis
Authors: Sadeghi Fatemeh , Dehdashti Alireza , Gilani Neda , Fatemi Farin , Alizadeh Seyed Shamseddin , Khoshmanesh Behnoush
Published: November 2022

BACKGROUND: Chemical accidents have imposed casualties and high economic and social consequences to Iranian industries and society. OBJECTIVE: This study investigated the effect of risk factors involved in occurrences of the chemical accidents and predicted the time of occurrences in Iranian chemical factories. METHODS: A cross-sectional study was implemented in 574 chemical facilities with more than 25 employees from 2018 to 2020. Collecting data instruments were 2 checklists with 15 and 25 three-point Likert scale questions, respectively. Chi square and Monte Carlo tests assessed the relationships between independent risk factors and dependent hazardous chemical accidents. Cox semi-parametric and log-normal parametric models were used to predict the upcoming time of chemical accidents based on the impacts of risk factors understudy. Data analyses were performed using Stata and R software. RESULTS: The results showed that safety data sheets, labeling, fire extinguishing system, safe chemicals storage, separation, loading, transportation and training were statistically significant with occurrences of the chemical accidents (P-value < 0.05). Loading and transportation were mostly related to chemical incidents and reduced significantly the expected time of chemical events (P-value = 0.028). CONCLUSION: Establishing a comprehensive chemical accidents dataset and strict governmental supervision on chemical safety regulations are suggested to decrease the chemical accidents at regional and local levels in chemical plants.
Musculoskeletal complaints and associated factors in school children aged between 6 and 13 years in Istanbul during the COVID-19 pandemic: A cross-sectional study
Authors: Ozyemisci Taskiran Ozden , Topaloglu Mahir , Giray Esra , Turan Zeynep , Yilmaz Yalcinkaya Ebru , Sakarya Sibel
Published: November 2022

BACKGROUND: Following the first COVID-19 cases in Turkey, face-to-face education was ceased after March 16, 2020 until the end of the educational year (i.e. June 19, 2020) and education was substituted remotely due to confinement. OBJECTIVE: This study aims to investigate the frequency of musculoskeletal complaints in school-age children and associated risk factors including reduced physical activity, increased screen time and poor ergonomics conditions in school-age children during the pandemic. METHODS: This cross-sectional study included parents or guardians of 960 students aged between 6–13 years old with a non-randomized sampling. A survey was administered consisting of 65 items related with sociodemographic characteristics of the children and family, online education hours, technological device(s) used, screen time, type of physical activity, presence of musculoskeletal problems and poor ergonomics conditions such as incorrect sitting posture. RESULTS: Logistic regression results demonstrated that age, excess weight gain, total daily screen time, smartphone use, incorrect sitting posture were associated with musculoskeletal complaints. CONCLUSION: The long-term closure of schools due to the pandemic may have led to an increase in musculoskeletal complaints in 6–13 years old children, based on the factors identified in this study, which were excess weight gain, increased screen time and incorrect sitting posture. These findings might help education and health authorities to develop strategies to improve musculoskeletal health of children especially in emergencies such as the pandemic.
Symbolism and Semantics of Animalistic Images in Russia's People's Paintings: Yesterday, Today, Tomorrow
Authors:   Altai State Institute of Culture, Nepriiatel Iulia
Published: November 2022

The author briefly describes genesis and meaning of imaginative systems of traditional painting of Russian and Altaians (in particular, Mezen, group of Severodvinsk, and Uymon paintings) backed by results of studies got by fine art experts and art historians. The paper shows a relation between age of various types of decorative paintings and a level of their complexity and semantic richness. Theoretic approaches to understanding of cultural senses of typical animalistic images, that produce freestanding semiotic composition are arranged. Also, the author analyzes zoomorphic motifs in ornamental systems as well; it stressed out that such systems pass sign information in a language of people's painting besides an aesthetic message.
Destiny Concept in Eastern and Western Cultures
Authors:   Altai State Institute of Culture, Nosochenko Marina
Published: November 2022

The paper analyses destiny subject in religious and philosophical doctrines and theories of the East and the West. Common for different cultures concepts related with the destiny idea are considered. Etymology of destiny term in some ancient and modern languages is studied; specific senses related with the term are looked into. Key factors determined interest to the destiny idea in mankind history, concepts of destiny in Eastern and Western cultures are compared. According to the author, tragic fatalism or heroic rioting are more typical for consciousness of the person belonging to the Western culture. The Eastern culture person regards destiny idea through the lens of quietism and self-understanding.
Problems of Development of Literature Teaching Methodology in General Academic School in the Context of Literary Centrism of Russian Culture
Authors:   Herzen State Pedagogical University, Marantsman Elena
Published: November 2022

The paper considers some problems in developing techniques of ‘Literature’ teaching as a basic subject of study in the humanities for a modern Russian general academic school. The author’s view on literary centrism as a dominant idea of mental area of the Russia’s space, key constant and resource for axiological identification of Russians is given. The author argues that displacement of classic literature in school program for texts of modern writers entails risks of axiological conflict in school system. Task of elaboration of school course of literature with taking into account of harmonical combination of all vectors of Development of Literature Teaching Methodology is articulated. Description of innovative forms of work with school students for studying classic literature is outlined, the author makes assessment of pedagogical effectiveness of such forms.
Military-Music Service in Departmental Battalion at the Kolyvan-Voskresensky Mountain District in the Second Half of the 18th Century
Authors:   Altai State Institute of Culture, Vinogradov V. A Valerii
Published: November 2022

The paper analyzes insufficiently studied issues concerning arranging of military-music affairs in Kolyvan-Voskresensky Mountain District, the Russian Empire, 1764–1800. The author considers a lineup of musicians from local military forces, describes some peculiarities of the mountain battalion's military uniform, regards musical instruments supplying, studies the military band's stock of plays and its performing activity, etc. The article traces a relation between participation of the military unit focused on musical support for official ceremonies in local entertainment events and positive changes in regional cultural life. The author reveals a level of interest on the part of Kolyvan-Voskresensky Mountain District administration of various years in development of military-music service. The study is based on archival materials (from State Archive of Altai Krai (Barnaul, Russia)) and issue-related little known released works.