Reviewerly/exHarmony huggingface dataset:
Undergraduate Preservice EFL Teachers' Digital Technology Engagement and Beliefs

In today’s world, technology plays a vital role in every aspect of daily life both personally and professionally. To this, the domain of education is not an exception. Indeed, as an ever-progressing field that is interrelated and intertwined with real life where instantaneous change and development exist due to the period of modernisation and globalisation, education necessitates more technology integration, especially in language teaching to address diverse sorts of learners. In addition, teacher beliefs hold a key point in putting theory into practice. Therefore, conducted on 52 preservice EFL teachers studying at a Turkish state university, the current study aimed to investigate teacher beliefs and engagement with digital technology with a survey research design following a quantitative trend. Descriptively analysed results indicated that preservice teachers positively view digital technology as a complementary means for their instructional purposes within the classroom and know the importance thereof. Inferential statistics done indicated a significant difference in the participants’ beliefs between genders only. On the other hand, the participants are dissatisfied with their institution’s technical infrastructure and resources providing information on digital technology use. Furthermore, they report to have received insufficient education regarding digital technology use. Thus, the suggestions would be to resolve technical issues, provide more relevant resources, and enhance digital technology education within the faculties of education.
GeoNet: Artificial Neural Network Based on Geometric Network

Artificial neural network has achieved great success in many fields. Considering the unique advantages of naturally generated networks, we combine the geometric complex network model with the existing neural network model to build a neural network with geometric space structure characteristics. We proposes a GeoNet neural network model based on a random geometric network structure and finds that the neural network with a natural structure has good classification performance, and the classification accuracy is higher than the widely used neural network structure.
Services of cloud-oriented open science systems for supporting scientific and educational activities

The article reveals the essence of the concept of open science based on three main principles: open access to scientific publications, openresearch data, and open cooperation. The differences between traditional research and joint, collaborative parallel research are illustrated.The services of cloud-oriented open science systems are analyzed and systematized for use in scientific and educational activities: specialized search engines, content visualization services, services for efficient data storage and exchange, communication services, scientific papers repositories, etc. The European Open Science Cloud is characterized.
OBSKP: Oracle Bone Studies Knowledge Pyramid Model With Applications

Oracle Bone Studies (OBS) benefit a lot from the introduction of computer science and artificial intelligence (AI), which changes the traditional way of organization of OBS knowledge, and results in a rapid accumulation of important research data. However, these data are not fully explored, and the processing faces challenges in the storage, representation, sharing and reuse of OBS big data, due to the lack of knowledge organization and management tools and knowledge application models for OBS. To address the two outstanding problems faced by OBS research bottleneck: high dependence on expert knowledge but low degree of knowledge sharing and reuse; poor computability and interpretability due to qualitative analysis. A new knowledge organization model carved from multiple dimensions such as refinement, fragmentation, conceptualization, networking, vectorization, and multimodal fusion is proposed. The OBS Knowledge application Pyramid (OBSKP) model is proposed from the perspective of Computational Oracle Bone Studies (COBS). The OBSKP shows the direction for the OBS research in the era of AI and provides the storage and representation standards and specifications for the subsequent OBS research data. Moreover, several important applications based on the OBSKP are presented.
Preimage Sampling in the Higher-bit Approximate Setting with a Non-spherical Gaussian Sampler

Approximate lattice trapdoors are introduced to improve the efficiency of lattice-based hash-and-sign signature. There are two improvements of the approximate setting for such schemes. The first is to use a non-spherical Gaussian sampler, and the second is the higher-bit approximate setting. In this paper we consider further improvements of the approximate setting, namely we combine the higher-bit approximate setting with the use of a non-spherical Gaussian sampler. We assess the effectiveness of this approach by doing an analysis with a proof-of-concept implementation. We observe that our construction brings several improvements, especially in the public key size and signature size. Moreover, an exhaustive search for parameter sets make us aware of new parameters choices which lead to better results in the higher-bit approximate setting than those of previous work.
HSS: A Hierarchical Semantic Similarity Hard Negative Sampling Method for Dense Retrievers

Dense Retriever (DR) for Open-domain textual question answering (OpenQA), which aims to retrieve passages from large data sources like Wikipedia or Google, has gained wide attention in recent years. Although DR models continuously refresh state-of-the-art performances, their improvement relies on negative sampling during the training process. Existing sampling strategies mainly focus on developing a complex algorithm based on computer science, and ignore the abundant semantic features of datasets. We discover that there exists obvious changes in semantic similarity and present a three-level hierarchy of semantic similarity: same topic, same class, other class, whose rationality is further demonstrated by ablation study. Based on this, we propose a hard negative sampling strategy named Hierarchical Semantic Similarity (HSS). Our HSS model performs negative sampling at semantic levels of topic and class, and experimental results on four datasets show that it achieves comparable or better retrieval performance compared with existing competitive baselines. The code is available in https://github.com/redirecttttt/HSS.
Ecology of childhood: the problem of imagination development of younger schoolchildren

The article emphasizes the need to develop the imagination of younger schoolchildren as an important factor in the formation of their creative personality. It is emphasized that primary school age is a sensitive period for the development of imagination, and therefore the task of a modern primary school is to use a period favorable for the development of this mental function.The role of the teacher in the development of students' imagination is revealed. It is emphasized that the main priority in the educational process of primary school should be to ensure proper childhood ecology. The teacher needs to organize the educational process so that it is environmentally friendly for children. The teacher's task is to preserve the creative tendency of the preschool age, to strengthen it in the younger school age, in other words, to preserve the creative potential of the child in new conditions where abstract, conceptual, theoretical knowledge prevails.It was found that in order to ensure the activation and effective course of the imagination development process in younger schoolchildren, it is necessary for the teacher to create and observe the following psychological and pedagogical conditions: possession of scientific knowledge and technological skills regarding the development of imagination of students; taking into account the age, gender and individual psychological characteristics of the development of imagination of younger schoolchildren; ensuring a favorable psychological atmosphere in the course of extracurricular and extracurricular educational activities; creation of a creatively developing educational environment, as well as organization of joint creative activities with students; building educational and educational interaction with students on the basis of a dialogical approach; the use of a system of creative tasks, innovative technologies for the development of imagination; promoting the manifestation and realization of students' interests and abilities by involving them in various types of creative activities.
On Reconciling Constructivism and Primordialism: Tribute to Andrei Vladimirovich Golovnev

The article brings forward the idea of ethnic plurality as an alternative to multinationalism (mnogonarodnost).The author employs the constructivist approach to reality, which does not renounce primordialism, but helps to understand how primordial feelings and loyalties are invoked and manifest themselves.The paper outlines the critical contributions of constructivism to the study of ethnicity and ethnopolitics.Constructivism expounds massive shifts in identities and, hence, ethnic composition, the emergence and disappearance of new groups through procedures of re-identification and rewriting.Constructivism explains how ethnic divisions can be created and changed through political influence or indoctrination.The constructivist approach overcomes the negative content when ethnic diversity is associated with risks to nation-building, with less democratic, less well-governed, and more contentious societies.Finally, the paper proposes a development to the theory of ethnicity by updating the language of description and by focusing not on quantitative markers (classifications, numbers) but on the reproduction, management, and use of ethnicity.The author supports the idea of two forms of ethnic identity, i. e., the nominal and activated forms.
QUASI-PROFESSIONAL EDUCATIONAL ENVIRONMENT IN THE PROFESSIONAL TRAINING OF FUTURE TEACHERS

During the distance education process caused by COVID-19, students do not have sufficient opportunity to do pedagogical practice, which requires strengthening their practice-oriented component of learning in other forms. This article substantiates the relevance of quasi-professional educational environment in the system of professional training of future teachers, which implies the creating conditions at the university as close as possible to the realities of the teacher's work. The conditions which allowed to improve the graduates’ readiness to do their professional duties were developed and experimentally proven. The peculiarities of quasi-professional tasks based on imitation of real work situations, where student has no rules or samples for the completing, are revealed. In this way, they independently develop possible models for their behavior in similar situations, based on theoretical and methodological knowledge and skills. The effectiveness of the author's system of quasi-professional tasks aimed at the development of students' pedagogical thinking and their mastery of the experience of modeling lessons is presented and examined. They are represented by three groups: didactic, methodological and technological, each of which has a specific purpose. It allows to cover all the spheres of professional development of higher education students: motivational, cognitive-operational and reflexive.
Supplemental Tables 1 - 7 from Lung Squamous Cell Carcinomas with Basaloid Histology Represent a Specific Molecular Entity

&lt;p&gt;Supplemental Table 1:A. Characteristics of the antibodies used for immunohistochemical measures B.Clinical characteristics of the CIT cohort of patients. Supplemental Table 2: A .Gene expression related statistics in the CIT cohort. B. immunohistochemistry quickscore measures of SOX4 and IVL and prediction of the basaloid satus Supplemental Table 3: Gene signatures and pathways deregulation analysis in histological subtypes. Supplemental Table 4: DNA copy number aberrations related statistics in the CIT cohort. Supplemental Table 5: 139-gene centroids used for prediction of the CIT molecular subtypes. Supplemental Table 6: Molecular subtype prediction and survival data for each sample of the CIT and 8 validation datasets. Supplemental Table 7: Gene signatures and pathways enrichment analysis in molecular subtypes in the CIT cohort and 4 validation datasets.&lt;/p&gt;
Prohibition of discrimination and hate speech in the educational context in Serbia

The right to education, as one of the rights inherent to all human beings, necessarily implies an educational process that takes place in an institution that does not tolerate discrimination or hate speech. During the previous decades, both at the European and global level, relevant standards have been established in order to obtain an educational system that adequately opposes the phenomenon of discrimination, while nurturing a climate and culture conducive to the full development of students' personal potential. Having in mind the importance of preventing discrimination and hate speech in educational context, the authors have conducted a study aimed at the comparative analysis of the international and Serbian anti-discriminatory regulatory framework in the educational settings. Normative-dogmatic and comparative methods have been applied, with the focus on the systematic interpretation of the meaning and content of the studied norms. The key results of the research indicate that the domestic national framework corresponds with the relevant international standards. However, national regulations, contrary to internationally accepted paradigms, do not pay adequate attention to the intercultural elements of the educational process, because they are focused on prohibitions and post festum interventions on discrimination and hate speech.
Challenges on the Brazilian Information Systems Education: The Professors’ Perspective

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Contribution:</i> The main contribution of this study is to gather and report on the challenges faced by IS courses based on the professors’ perspectives. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Background:</i> Information systems (ISs) area focuses on the interplay among people, processes/organizations, and technologies. As such, stimulating technical and nontechnical competencies are required from professors and students. For instance, despite the current number of IS bachelor’s degree courses, several difficulties have been faced, e.g., students dropout, novel careers in Computing and Informatics, and market waves. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Research Questions:</i> What are the challenges and difficulties of IS Education, considering the professors’ perspective? <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Methodology:</i> A survey research was executed to collect data related to the IS courses, and a qualitative analysis was performed to answer the research question based on coding procedures. The nature of the research is exploratory and descriptive. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Findings: </i>Results reveal the importance of continuous training for professors, the institutional policies to support students, the creation of hybrid courses to reduce barriers to students, and course class time offered in the mornings and afternoons.
Investigating a Key COVID-19 Question by Using Natural Language Processing on Scientific Publications

The COVID-19 pandemic has brought an unprecedented challenge to public health. Numerous scientific publications are published daily on COVID-19 to understand the unexplored facets of the disease. The sheer volume of these publications makes it daunting for researchers to quickly find information and evaluate data related to specific COVID-19 queries. Natural Language Processing (NLP), a form of artificial intelligence, assists in churning these huge piles of data with a sophisticated algorithmic approach. The purpose of this study is to investigate key a COVID-19 question by using NLP on scientific publications. Using the T5 (Text-To-Text Transfer Transformer) model, we analyzed 740,000 journal abstracts for specific answers an important COVID-19 question. We performed qualitative observations, T-Tests (p-values and inferences), and accuracy metrics (Precision, Recall, and F1 score) to evaluate the models in this study. As the number of scientific publications increases, our proposed methodology provides an efficient mechanism for performing specific information retrieval for emerging questions, diseases, and related conditions, especially for underrepresented populations.
Peramalan Kurs Rupiah Terhadap Dolar Amerika Menggunakan Jaringan Saraf Tiruan

The Indonesian rupiah (IDR) exchange rate is used to gauge Indonesia's economic stability. Maintaining the IDR exchange rate's stability is critical since it has a direct impact on Indonesia's national monetary situation, particularly during the Covid-19 pandemic. Forecasting is one way to assess government policy in terms of lowering the exchange rate. The goal of this study is to use the backpropagation artificial neural network model to model and predict the IDR exchange rate. This study uses daily data on the US Dollar (USD) to Indonesian Rupiah (IDR) exchange rate from March 2020 to December 2021. The best BPNN model is BP (2,5,1) with 2 neurons in the input layer, 5 neurons in the hidden layer, and 1 neuron in the output layer. The accuracy of prediction of this model is very good with an RMSE value is 33,66 and MAPE value is 0,1796%.
Intelligent Sales Prediction Using SVM Algorithm

The Analysis report proposes a solution that grants businesses complete visibility into their inventory and streamlines sales operations from the distribution center to the store. It is used to determine the balance of existing materials when it is demanded to know the stock balance, control the levels of materials, and daily movement of the materials. Data is gathered from the web application and processed to form a group of charts called a dashboard. This dashboard helps to analyze the sales and performance of every product report. Analysis report deals with the organization’s requirements, performance analysis, sales, and financial problems, and solving them, in addition, to saving all the materials information, and process in a private system database. The quality of wood used in the furniture and performance analysis of furniture based on design are represented in form of charts for a better understanding of the user. Admin can view their financial and sales reports by daily, weekly, monthly, and yearly trends. This Furniture Web Application System is created for the convenience of the customers, of this specific shop. It is not only for users but also convenient for the owner to sell their products online along with analytics reports using machine learning techniques. To analyze reports, the system uses Support Vector Machine (SVM), a supervised machine learning technique. Keywords—furniture, machine learning, analysis report
THE EFFECT OF NETWORK LEARNING ON STUDENTS' LEARNING MOTIVATION DURING THE COVID-19 PANDEMIC AT UPTD SDN 146 BARRU MALLUSETASI DISTRICT, BARRU REGENCY

This research was conducted at UPTD SDN 146 Barru, Mallusetasi District, Barru Regency which has a problem formulation, namely: 1) What is the picture of online learning at UPTD SDN 146 Barru during the covid-19 pandemic? 2) What is the picture of student learning motivation at UPTD SDN 146 Barru during the covid-19 pandemic? 3) Is there any effect of online learning on students' learning motivation during the covid-19 pandemic at UPTD SDN 146 Barru? Therefore, this study aims: 1) To find out the description of online learning for UPTD SDN 146 Barru students during the covid-19 pandemic. 2) To find out the description of student learning motivation at UPTD SDN 146 Barru during the covid-19 pandemic. 3) To find out whether there is an effect of online learning on students' learning motivation during the covid-19 pandemic at UPTD SDN 146 Barru. This type of research is a quantitative correlational model. The data collection method uses a questionnaire and documentation, which has a population of 61 students, with a sampling technique using a saturated sampling technique. The data analysis technique used descriptive analysis and inferential analysis using simple linear regression analysis techniques. The results of the analysis show that the significance value of online learning and student learning motivation can be seen from Fcount which is greater than Ftable, so that there is a significant effect. Then the value of sig. smaller than the level of significance. These results can be concluded that there is a significant influence between online learning on students' learning motivation during the covid-19 pandemic at UPTD SDN 146 Barru, Mallusetasi District, Barru Regency. The data collection method uses a questionnaire and documentation, which has a population of 61 students, with a sampling technique using a saturated sampling technique. The data analysis technique used descriptive analysis and inferential analysis using simple linear regression analysis techniques. The results of the analysis show that the significance value of online learning and student learning motivation can be seen from Fcount which is greater than Ftable, so that there is a significant effect. Then the value of sig. smaller than the level of significance. These results can be concluded that there is a significant influence between online learning on students' learning motivation during the covid-19 pandemic at UPTD SDN 146 Barru, Mallusetasi District, Barru Regency.
THE EFFECT OF USING INSTRUCTIONAL VIDEO MEDIA ON THE LEARNING OUTCOMES OF GRADE IV STUDENT IN SOCIAL SCIENCE SUBJECTS AT SD NEGERI 91 SOREANG DESA TAMALATE KECAMATAN GALESONG UTARA

This study is an experimental study that aims to see whether there is an effect of using video media on student learning outcomes in social studies subjects for class IV SD Negeri 91 Soreang. The research design used is the None Equivalent Control Design. The independent variable of this research is video media. The dependent variable is learning outcomes. The study population was 36 students with 21 males and 15 females consisting of two classes. The sampling technique used is purpose sampling. The instrument that the researcher uses is in the form of multiple choice questions, totaling 20 questions. Data collection techniques are tests, observations and documentation. The data analysis technique used descriptive statistics and inferential statistics using independent sample T-test. The results of the hypothesis test showed that video media had an effect on learning outcomes. The application of video media in the fourth grade of SD Negeri 91 Soreang is in the very good category. Student learning outcomes in social studies subjects in the control and experimental classes were in the good category. The conclusion of this study is that video media has an effect on social studies learning outcomes for fourth grade students of SD Negeri 91 Soreang.