Reviewerly/exHarmony huggingface dataset:
GOOGLE TRANSLATE SEBAGAI ALTERNATIF MEDIA PENERJEMAHAN TEKS BAHASA ASING KE DALAM BAHASA INDONESIA

The development of Information and Communication Technology (ICT) is progressing very rapidly. Due to the strong era of globalization where computers and the dynamic internet become facilities that have dominated various life activities, so educational activities also require the availability of these facilities. Google Translate becomes one of the translation machines that can be used by academics in translating literature written in foreign languages. Google Translate is one of the media that can make it easier for someone to translate text from various languages into the desired language. This paper uses a descriptive qualitative approach with this literature study method aimed at describing the process of translating foreign language texts and pronunciation into appropriate Indonesian. The media can be used to translate text, both by word, phrase, clause, sentence, and even discourse. However, it is often found errors and irregularities in the translation of the entered text. The results of this study are that academics are greatly helped by the existence of the Google Translate application as a learning medium. Despite the lack of this application, learning academics still have a positive perception of their use. They believe that the results of the translation will remain accurate as long as they can match the context.
Geochemical Characterization and Presence of Rare Earth Elements in the Recent Depositions at the Islands of the Eastern Bay of Bengal, Bangladesh

This study presents geochemical characterization, as well as, quantification of rare earth elements in the recent beach deposition at the two major islands of the eastern Bay of Bengal-Kutubdia and Moheshkhali. Placer sand samples from near surface depositions were analyzed by heavy mineral separation, mineralogical identification, chemical composition and elemental mapping. X-ray diffraction (XRD), X-ray fluorescence (XRF), Scanning Electron Microscopy with Energy Dispersive Spectroscopy (SEM-EDS) were used to obtain these results. The heavy mineral concentration in different raw sand samples resulted by heavy liquid separation technique revealed that the average abundance of heavy minerals is 69.67% in Kutubdia island and 9.32% in Moheshkhali island, respectively. The X-ray patterns of Kutubdia and Moheshkhali sand samples show the presence of zircon, quartz, hematite, magnetite, ilmenite, chromite, kyanite, anatase, rutile and garnet. Chemical composition of heavy mineral sands from Kutubdia and Moheshkhali islands were analyzed using X-ray fluorescence method (XRF) for major oxides and trace elements. The concentration is of Na2O, MgO, Al2O3, SiO2, P, K2O, CaO, TiO2, V2O5, Cr2O3, MnO, Fe2O3, CoO, ZnO, SrO, Y2O3 ZrO2, Nb2O5, MoO3, HfO2, WO3, ThO2, U3O8, CeO2, Nd2O and Er2O3 were determined. A significant amount of various rare earth elements (REEs) in the elemental composition of few samples was also identified. The study is expected to be useful in the baseline and environmental aspects of both the islands.
Datalog Rewritability and Data Complexity of ALCHOIF with Closed Predicates

We study the relative expressiveness of ontology-mediated queries (OMQs) formulated in the expressive Description Logic ALCHOIF extended with closed predicates. In particular, we present a polynomial-time translation from OMQs into Datalog with negation under the stable model semantics, the formalism that underlies Answer Set Programming. This is a novel and non-trivial result: the considered OMQs are not only non-monotonic but also feature a tricky combination of nominals, inverse roles, and role functionality. We start with atomic queries and then lift our approach to a large class of first-order queries where quantification is “guarded” by closed predicates. Our translation is based on a characterization of the query answering problem via integer programming, and a specially crafted program in Datalog with negation that finds solutions to dynamically generated systems of integer inequalities. As an important by-product of our translation, we get that the query answering problem is co-NP-complete in data complexity for the considered class of OMQs. Thus, answering these OMQs in the presence of closed predicates is not harder than answering them in the standard setting. This is not obvious as closed predicates are known to increase data complexity for some existing ontology languages.
ORIENTED VEHICLE DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON FEATURE AMPLIFICATION AND CATEGORY BALANCE BY OVERSAMPLING DATA AUGMENTATION

Abstract. Vehicles usually lack detailed information and are difficult to be trained on the high-resolution remote sensing images because of small size. In addition, vehicles contain multiple fine-grained categories that are slightly different, randomly located and oriented. Therefore, it is difficult to locate and identify these fine categories of vehicles. Considering the above problems in high-resolution remote sensing images, this paper proposes an oriented vehicle detection approach. First of all, we propose an oversampling and stitching method to augment the training dataset by increasing the frequency of objects with fewer training samples in order to balance the number of objects in each fine-grained vehicle category. Then considering the effect of the pooling operations on representing small objects, we propose to improve the resolution of feature maps so that detailed information hidden in feature maps can be enriched and they can better distinguish the fine-grained vehicle categories. Finally, we design a joint training loss function for horizontal and oriented bounding boxes with center loss, to decrease the impact of small between-class diversity on vehicle detection. Experimental verification is performed on the VEDAI dataset consisting of 9 fine-grained vehicle categories so as to evaluate the proposed framework. The experimental results show that the proposed framework performs better than most of competitive approaches in terms of a mean average precision of 60.7% and 60.4% in detecting horizontal and oriented bounding boxes respectively.
DEVELOPMENT OF DIGITAL COMPETENCES OF FUTURE SPECIALISTS IN INFORMATION SECURITY AT UNIVERSITY

Digital transformation of modern society causes higher education to develop both universal and professional digital competencies of students. This is critical for the future specialists in the field of information security, as their training has some specific features, which determine the relevance of this article. The goal of the research is to justify the development of digital competencies of information security students in the context of Education 4.0 paradigm and the national program for the development of digital economy. The theoretical significance of the study is the clarification of the concept of digital competencies, trends and the possible consequences of their development in Russian and foreign practice. The scientific novelty is in identifying the features and problems of the development of digital competencies of information security specialists, as well as in substantiating the prospective possibilities of these problems overcoming in training information security students at university. The effectiveness of new approaches to the organization of digital skills training of students in the course called information security risk management is shown.
A dual channel class hierarchy based recurrent language modeling

In recurrent language models the usage of the class hierarchy of vocabulary is a major direction to overcome over-large vocabulary issue, yet the hierarchy is not aligned within the models, including the embedding, hidden and softmax layer. Currently most methods employ the hierarchical information in embedding and/or softmax layers. It is interesting to ask if incorporating such information into hidden layer will be beneficial to the overall language modeling performance. Therefore, in this research we propose a dual channel class hierarchy (DCCH) model that utilizes two channels of RNNs to form a class hierarchy within the model, where class-channel is used to capture class sequence’s information. Furthermore, we study two auxiliary techniques in class organization: word hierarchy initialization and class exchange, to boost the overall performance. Finally, experiments on the PTB, WikiText-103, Wiki-fr and OBW datasets evaluate the potential of proposed model and our observation.
PENDIDIKAN KARAKTER DALAM KOMIK GIGANA (DIGITAL MITIGASI BENCANA) GEMPA BUMI KARYA SITI ANAFIAH DAN SHANTA REZKITA

The purpose of this study was to determine character education in the Gigana (Digital Disaster Mitigation) Comic Earthquake. This type of research is a qualitative descriptive study. This research uses the Abrams model pragmatic theory, which is the study of language usage that is associated with the context of its use. Data collection techniques namely refer, read, and note. Data analysis using Miles and Huberman consisting of data reduction, data display, and conclusion drawing and verification. The results of the study show that Comics as reading can benefit readers, namely children. Character education can be found in children's reading, one of them through comics. In the comic titled Comics Gigana (Digital Disaster Mitigation) Earthquakes by Siti Anafiah and Shanta Rezkita found 6 character values, namely peace, independence, responsibility, peace, environmental care, and social care. Such character education can be found through characters, characterizations, plot, settings, and mandates in the story.
IMPACT OF GDP, FOREIGN DIRECT INVESTMENT, INFLATION RATE, AND INTERST RATE ON STOCK MARKET VALUES IN SAUDI ARABIA

This study aims to find the long run and short run equilibrium relationships between stock market values (MV) and macroeconomic variables (GDP, foreign direct investment (FDI), inflation rate (INF), and interest rate (IR)) using annual time series data for the 1993-2018 period.The results indicate that all macroeconomic variables are stationary in the first difference and co-integrated with MV.The results also indicate that there is a long run relationship between MV and all macroeconomic variables and between GDP and all other variables.But there is one short run relationship between stock market values and all variables in lagged.The results of this study suggest that Saudi Arabian policy makers should pay attention to the effects of monetary policies and economic activity measurement on the stock market index.
REVEALING THE HIDDEN: USING A CO-DESIGN APPROACH TO EXPLORE ON CAMPUS ENERGY USE THROUGH THE REPRESENTATION OF CONSUMPTION DATA

Cites around the world are looking for ways to reduce the energy consumption associated with the built environment, but there are a number of significant challenges in this.These include, difficulties in making energy consumption data meaningful, particularly when people are not financially liable for consumption, and communicating the complexity associated with energy mix.In this research, data physicalisation principles are applied through a co-design approach to investigate how the users of a university campus understand the concept of energy.Key findings include a tension between a scientific understanding of energy and the experience of various forms of human energy including both physical and metaphysical understandings of energy, and the importance of translating energy data from the quantitative into an emotional context in which people can be encouraged to stop and take note.This is reflected upon in the context of sustainability transitions and behaviour change approaches more generally.The paper also reflects on the process of using a series of creativity tools to facilitate the co-design process, asking the same group of participants to reflect on similar questions using multiple co-design and creativity techniques.The results of this approach show promise as a way of facilitating complex co-design processes with diverse groups of stakeholders.
Formation of Research Competence of Students by Means of Mobile Education

The article outlines the need of reforming the higher education system, which should be aimed at educating graduates who are able to coordinate their future professional activities independently by means of mobile education. The authors conclude that this is impossible without the formation of research competence of students during their studies at the university. One of the main tasks of higher education is not only to present information to students, but to form the ability to obtain it independently, to be able to process it and to look for non-standard solutions. Motivational, communicative, reflexive, personal components within the structure of research competence are revealed in the article. The results of experimental work of formation of research competence of students by means of mobile education are presented. The authors conclude that educational activity becomes more continuous and motivated within formation of research competence of students by means of mobile education.
Reloading or the “Old Tale for a New Freak”: What the Libraries of the Support Universities Live Today

Appearing in Russia of the new cluster of support universities changes their activity in the case of connection with different regional communities. In order to research the experience of support universities’ libraries the Omsk state technical university (OmSTU) scientific library had organized and hold the special webinar. In the preparatory stage the great analytical work had been done. The analysis of support universities libraries’ cites had been performed. It allowed to distinguish events, directed on the interaction with the regional audience. Synchronous studying of strategic universities’ documents allowed the analysis of the role of libraries in realization of universities’ development programms.The results of this work and the opinions, formed during the webinar, are described in this article. Authors also offer the decisions for an effective collaboration and experience exchange between the support universities’ libraries. For example, on the special event of The Russian Library Association section of the higher educational institutions’ libraries.
Combining Machine and Automata Learning for Network Traffic Classification

Viewing the generated packets of an application as the words of a language, automata learning can be used to derive the behavioral packet-based model of applications. The alphabets of the learned automata, manually defined in terms of packets, may cause overfitting. As some packets always appear together, we apply machine learning techniques to automatically define the alphabet set based on the timing and statistical features of packets. Using the learned automata models, the classifier should detect the accepted words of the models in the input. To improve this time-consuming process, we present a framework, called NeTLang, that identifies the application model in terms of k-testable languages. The classification problem is reduced to observing only $$\varTheta (k)$$ symbols from the input with the help of machine learning techniques. Our framework utilizes the two diverse automata learning and machine learning techniques to build on their strengths (to be fast and accurate) and to eliminate their weaknesses (i.e., ignoring temporal relations among packets). According to our results, NeTLang outperforms the state-of-the-art methods using each technique alone.
The Establishment of a System of Agricultural Engineering Education in the USSR in the 1920s and 1930s

On the basis of archival materials and scientific literature, the article examines the history of agro-engineering education in the USSR during the global socio-economic and political transformations of the 1920s - 1930s. The article shows the importance of radical restructuring of the entire system of vocational education in accordance with the first Five-Year Plans. Presented are the major normative documents regulating the organization and further development of agricultural engineering universities. It is noted that the establishment of educational institutions took into account the specifics of soil and climatic zones, so that agricultural engineering universities would produce specialists familiar with the characteristics of the soil, climate, landscape of the respective zone, and able to work with equipment designed for the particular region. Between 1930 and 1941, nine agro-engineering universities were created, each designed with an eye for the regional specifics. The article highlights the key features of the formation of agro-engineering education, which consists in the use of local resources (primarily human and material) and of the technical base of industrial enterprises and advanced Sovkhoz state farms. The authors come to the conclusion that the creation of specialized higher educational institutions to train engineers for agricultural production became an urgent need as the collectivization of agriculture and the industrialization of production was unfolding; it established a powerful foundation for the further development of agricultural engineering education, of science, and of agricultural machine production in our country.
Aesthetic Paradigm of Art: a Role in Shaping Human Future

In this paper, the authors explain the developed and tested aesthetic paradigm of art. This paradigm allows knowledgeably building effective work on the aesthetic development of children at various levels of their education and taking into account modern trends in education and development of the human future.On top of that, the structural components of the paradigm have been defined, a summary of each of the components has been given, and the conditions for the effective implementation of the aesthetic paradigm of art have been explained.
A New Alternative to Museum Activities in Teaching Social Studies Course: “360-Degree Videos as a Virtual Museum”

In this study, social studies teachers working in Serdivan district of Sakarya province were asked about their opinions on virtual reality, 360-degree videos and virtual museum, it was ensured that they made a museum visit via the “360-Degree Video Based Virtual Museum Application (360DVVMA)”, and their views were examined in depth. A semi-structured interview form was used as the data collection tool in the research. 2 descriptive question items to be asked to the teachers before implementation and 5 questions items to be asked after the implementation were prepared about the virtual museum application. The question items were submitted to expert opinions, required changes were made to the items, and the semi-structured interview form was finalized. According to the findings of the study, most of 9 social studies teachers knew about the concept of virtual museum and benefited from virtual museum applications in their classes, and 4 of them had never heard the concept of virtual reality before. 5 teachers stated that they had only heard of the concept but had no experience before and 360DVVMA could be used in the classes. Furthermore, the teachers emphasized that if 360DVVMA was used in instructional processes, it would provide equal opportunities in education for students who do not have the opportunity to go to museums as well as offering a great contribution to their academic development.
Formation of research competence at the university: economic and managerial aspects

forMAtIon of reseArch coMpetence At the unIversIty: econoMIc AnD MAnAGerIAl Aspects purpose.To study the features of the influence of economic factors and management on the formation of research competence at the university as a social institution, as well as their reverse effect.Namely, the influence of university graduates with research competence on the socioeconomic development of the state.Methodology.The authors used the "qualitative metasynthesis" approach as the main research method.The authors carried out metasynthetic work, i.e., studied the currently available literature on the stated problem of the study, considered existing prac tices, as well as their results.The thematic coding strategy based on the selection and use of pragmatic and metadiscourse markers was used to synthesize the obtained research results.findings.The authors found that the attitude to and the ways of forming research competence are determined by the State policy in the field of education.In economically developed countries, research competence is one of the key markers that reveal the effectiveness of the relationship between the state and the university as a social institution.The state stimulates the development of university laboratories and research centers in exchange for professional researchers who ensure the socioeconomic develop ment of society.originality.The authors identified two key markers for the formation of research competence in university education.The first is targeted state education policy.The second is the economic and managerial autonomy of universities, which allows them to turn university laboratories into research centers that can effectively solve problems of state, regional, and global scale.practical value.The results obtained are necessary to clarify the process of reforming the Ukrainian education system.They adapt the world experience to Ukrainian reality and establish key markers for the development of economic and managerial rela tions between the state and the university as a social institution.
Knowledge Geometry in Phenomenon Perception and Artificial Intelligence

Artificial Intelligence (AI) pervades industry, entertainment, transportation, finance, and health. It seems to be in a kind of golden age, but today AI is based on the strength of techniques that bear little relation to the thought mechanism. Contemporary techniques of machine learning, deep learning and case-based reasoning seem to be occupied with delivering functional and optimized solutions, leaving aside the core reasons of why such solutions work. This paper, in turn, proposes a theoretical study of perception, a key issue for knowledge acquisition and intelligence construction. Its main concern is the formal representation of a perceived phenomenon by a casual observer and its relationship with machine intelligence. This work is based on recently proposed geometric theory, and represents an approach that is able to describe the inuence of scope, development paradigms, matching process and ground truth on phenomenon perception. As a result, it enumerates the perception variables and describes the implications for AI.
&lt;b&gt;Applicability of Magnitude Determination Method Considering Time Dependence of P-Wave Growth to Railway Earthquake Early Warning System&lt;/b&gt;

This article examines an earthquake magnitude (M) determination method to test its applicability for the railway earthquake early warning system. Although the effectiveness of the M determination method has been shown so far when multiple station approach is used, the railway system employs a single station algorithm considering immediacy of the warning. This study investigates if the M determination method can improve the performance of the system analyzing seismic records observed in Japan. As a result, the test demonstrated that the method speeds up the final M estimation without loss of accuracy, suggesting that the risks of running trains during an earthquake can be reduced by applying the new technique to the railway system.