Reviewerly/exHarmony huggingface dataset:
Methodological Approaches To Future Teachers' Training To Design Students' Educational Activities

The need for future teachers to master the basics of designing educational activities is becoming more and more evident when considering the peculiarities of modern school education.As a cardinal condition for increasing the developing potential of school education, the development and implementation of federal state standards of general education provide for a transition in education to a strategy for designing education processes that provide an atmosphere for the formation of a personality as a subject of one's own life.The designing educational activities technology implementation makes it possible to prepare a future teacher for professional activity in a modern school characterized by a high level of variability and uncertainty.The current situation in higher education gives grounds to assert that the design of educational activities is one of the educational technologies for developing future teachers' competencies.The logic of the methodology reveals the understanding of the essence, content, and design features of younger schoolchildren's educational activities in the framework of the didactic training of the future teacher.The structure of methodological knowledge assumes three levels of developing future teacher's training: general scientific, factual-scientific, and technological.The General scientific level is based on a systematic approach.Specifically, the factual-scientific stage is established on the practical use of the personality-oriented, competence-based, contextual, and activity-based approaches provisions in their interaction during future teacher training.The systematic use of methodological approaches provides methodological synergy, resulting in their interaction efficiency.
THE EFFECTS OF BUILDING INFORMATION MODELING (BIM) IMPLEMENTATION IN THE SUCCESS OF CONSTRUCTION PROJECTS

Building Information Modeling (BIM) is one of the most exciting recent advances in the field of architecture, enginering and construction (AEC), which is a significant advance in digital technology for virtual building modeling. The aim of this final project is to evaluate the impact of the benefits of BIM adoption, BIM adoption factors, challanges and barriers, both partially and simultaneously on critical success factors in Building Information Modeling (BIM) based projects. Respondents of this study were 40 contractors and construction consultants representing 14 construction companies in Indonesia with experience using Building Information Modeling (BIM) based applications. The method used is in the form of quantitative research using descriptive and statistical analysis through the SPSS 25.0 application. The results of the analysis showed that: (a) the advantages of adopting BIM have a positive and significant effect on critical success factors, (b) factors related to BIM adoption have a positive and significant effect on critical success factors (c) challenges and obstacles do not have a negative effect on critical success factor, (d) simultaneously there is an effect of the advantages of adopting BIM, factors related to BIM adoption, challenges and obstacles to critical success factors in Building Information Modeling (BIM) based projects.
Discourse functions of lexical bundles in Indonesian EFL learners’ argumentative essays: A corpus study

Lexical bundles are functional units that are essential to building texts. However, lexical bundles vary due to some aspects, e.g., nativity, professionalism, text genre, etc. This study explored functional categories of lexical bundles in EFL written production, i.e., argumentative essays, focusing on 3-, 4-, and 5-word sequences employed by English major students in Indonesia. The data were taken from a learner corpus comprising 169 argumentative essays with 87.939 tokens. The lexical bundles were identified by using computerized and manual procedures. The identified bundles were then classified into functional categories and subcategories by Hyland. The results show that all functional categories were identified in the learner corpus proving the importance of those functions in students’ essays. Regarding the distribution, research-oriented bundles are the most frequent bundles in the corpus, while text-oriented bundles are the least frequent. Although all functional categories were found, the structuring signals (a subcategory of text-oriented bundles) were absent in the corpus. Moreover, this study found the gap between tokens and types of each bundle function, indicating the restricted variants of bundles used by the learners. Considering the low frequency of text-oriented bundles, the absence of structuring bundles, and restricted bundles, thus the exposure of more lexical bundles serving multiple functions in writing materials is necessary, especially bundles used for organizing and structuring texts.
Eliciting Gestures for Novel Note-taking Interactions

Handwriting recognition is improving in leaps and bounds, and this opens up new opportunities for stylus-based interactions. In particular, note-taking applications can become a more intelligent user interface, incorporating new features like autocomplete and integrated search. In this work we ran a gesture elicitation study, asking 21 participants to imagine how they would interact with an imaginary, intelligent note-taking application. Participants were prompted to produce gestures for common actions such as select and delete, as well as less common actions (for gesture interaction) such as autocomplete accept/reject, 'hide', and search. We report agreement on the elicited gestures, finding that while existing interactions are prevalent (like double taps and long presses) a number of more novel interactions (like dragging selected items to hotspots or using annotations) were also well-represented. We discuss the mental models participants drew on when explaining their gestures and what kind of feedback users might need to move to more stylus-centric interactions.
Lightweight Cryptographic Techniques in 5G Software-Defined Internet of Things Networking

Lightweight cryptography (LWC) is an area of cryptographic techniques with low computational complexity and resource requirements. There must be a reason for using it in Internet of Things (IoT) network with a strict resource constraints environment. The key features of a 5G network are low latency, high throughput, heterogeneous network architecture, and massive connectivity. A new area of network architecture called SDN-IoT comes into the picture to control and manage IoT devices in a network with low latency and high throughput. SDN helps to reprogram the network according to the application’s requirements. Also, higher mobile applications lead to higher data growth. SDN helps to secure, manage, and control the huge data in the network. SDN-IoT architecture divides the network into three layers: The infrastructure layer, the control layer, and the service or application layer. In this chapter, we are focusing on the LWC algorithms from different perspectives so that they will fit into different layers of SDN-IoT network. We will discuss all the pros and cons of implementing LWC algorithms in hardware and software environments and also, the different layers of the SDN-IoT network. We also discuss SDN security architecture and different performance metrics for LWC algorithms.
Tnd Box Uno Stacko Media Development On Thematic Lessons

This research on the development of the TND Box Uno Stacko media is based on several things including (1) the lack of use of media to support the thematic learning process (2) lack of interest in learning, and students' learning motivation. In overcoming these problems, it is necessary to develop media in the form of developing TND Box Uno Stacko media. The study was conducted in class IV SDN Tanjung as many as 20 students. This research was conducted based on several objectives, namely (1) producing a product in the form of TND Box Uno Stacko media for fourth-grade students at SDN Tanjung, (2) knowing the level of attractiveness of the TND Box Uno Stacko media. This study uses the ADDIE development model. The results of the TND Box Uno Stacko validation are 98.6 media experts with very valid categories, 91.6 linguists (very valid) validation results, 87 material expert validation results (very valid), 91.9 user expert validation results (very valid). Field test results show the attractiveness rate reaches 99% (very interesting). So it was concluded that the TND Box Uno Stacko media was proven to be valid and interesting for fourth graders at SDN Tanjung.
The development of lexical inhibition in spoken word recognition

As a spoken word unfolds over time, similar sounding words (cap and cat) compete until one word “wins”. Lexical competition becomes more efficient from infancy through adolescence. We examined one potential mechanism underlying this development: lexical inhibition, by which activated candidates suppress competitors. In Experiment 1, younger (7-8 years) and older (12-13 years) children heard words (cap) in which the onset was manipulated to briefly boost competition from a cohort competitor (cat). This was compared to a condition with a nonword (cack) onset that would not inhibit the target. Words were presented in a visual world task during which eye movements were recorded. Both groups showed less looking to the target when perceiving the competitor-splice relative to the nonword-splice, showing engagement of lexical inhibition. Exploratory analyses of linguistic adaptation across the experiment revealed that older children demonstrated consistent lexical inhibition across the experiment and younger children did not, initially showing no effect in the first half of trials and then a robust effect in the latter half. In Experiment 2, adults also displayed consistent lexical inhibition in the same task. These findings suggest that younger children do not consistently engage lexical inhibition in typical listening but can quickly bring it online in response to certain linguistic experiences. Computational modeling showed that age-related differences are best explained by increased engagement of inhibition rather than growth in activation. These findings suggest that continued development of lexical inhibition in later childhood may underlie increases in efficiency of spoken word recognition.
Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets

The paper presents an image denoising scheme by combining a method that is based on directional quasi-analytic wavelet packets (qWPs) with the state-of-the-art Weighted Nuclear Norm Minimization (WNNM) denoising algorithm. The qWP-based denoising method (qWPdn) consists of multiscale qWP transform of the degraded image, application of adaptive localized soft thresholding to the transform coefficients using the Bivariate Shrinkage methodology, and restoration of the image from the thresholded coefficients from several decomposition levels. The combined method consists of several iterations of qWPdn and WNNM algorithms in a way that at each iteration the output from one algorithm boosts the input to the other. The proposed methodology couples the qWPdn capabilities to capture edges and fine texture patterns even in the severely corrupted images with utilizing the non-local self-similarity in real images that is inherent in the WNNM algorithm. Multiple experiments, which compared the proposed methodology with six advanced denoising algorithms, including WNNM, confirmed that the combined cross-boosting algorithm outperforms most of them in terms of both quantitative measure and visual perception quality.
Analysis of the Lack of Chinese Culture in Foreign Language Teaching in Colleges and Universities and Reconstruction

In foreign language teaching, Chinese cultural education is a very important course content. Especially in the context of the current comprehensive implementation of quality education and education reforms, special attention should be paid to infiltrating Chinese culture into foreign language teaching, comprehensively improving students’ own development capabilities, helping colleges and universities cultivate talents and enhancing students’ sense of patriotism. In this regard, this article explores the reasons for the lack of Chinese culture in foreign language teaching in colleges and universities. Analyze the current teaching situation of Chinese culture in foreign language teaching. The corresponding restructuring strategy is put forward, in order to continuously improve the patriotism of foreign language students in colleges and universities, and put forward certain reference opinions for integrating Chinese culture into foreign language teaching.
Concept of Time, Godlike Personality, Unified Field Theory, Language, Learning Theory, Number Theory, Vibing Theory &amp;amp; An Ecstasy of Thoughts

Employing a consistency argument in personality, one arrives at a Godlike personality resemblance in mortal men to the ones described in mythical stories &amp;amp; holy books. However, not stopping at this context this paper is probably a first attempt “to the best knowledge of the author” at mixing ideas, &amp;amp; perhaps making this paper more interdisciplinary. A discussion is also made on the basis of efficiency argument, that nothingness could be our most efficient language. In extension, the only force of nature perhaps ungauged yet by scientific tools or to the best of our knowledge the singularity we all are accustomed to, where all things come from, even the four forces of nature, or in adequate terms “The big bang” for now, is looked at from a new perspective i.e., from a efficiency argument. A mixing of ideas (we all want Chutni’s in the Indian sense of the word, in the food somewhere to make this paper less amuck, or this is perhaps the first “fields of inquiry” salad in the making, so enjoy as a deviation from the more conventional “dull/bland” paper on a particular field out there ;)) which contains, non-linearity from mathematics (viewed as a bifurcation not in as a powers of variables) , computations, innateness from biology or behavioral science or psychology to calligraphy to graphology is utilized in arriving at some proposition. An unconventional approach (perhaps originality isn’t that what we all are looking for, as Feynman’s book’s title “The beat of different drum…”) where at the first stroke of “Introduction” a proposal of removal of the concept of time is undertaken. We take “a no/minimum equation” approach like that of C.V. Raman’s Nature papers when he was at his prime. This preprint is a polished version of the notion article the author wrote on January 9, 2022 [https://serious-jester-4a7.notion.site/Learning-Computation-Understanding-Intuition-Vision-Ecstasy-of-thought-4d27a3d3a4a6445c8904bb2ab3848142].Keywords: Time, Godlike Personality, New Language, Non-Linearity, Linear reading of the text, Circular Reading of Text or Non-Linear reading of text, Vibing, Nutrition, Picture, Circadian Rhythms, Innateness, Efficiency, Graphology, Consistency, Music, Compression.
Effectiveness of Microsoft Kaizala and Google Classroom towards students’ mathematical communication skill and self-efficacy in learning statistics

This study aims to describe the effectiveness and differences in the effectiveness of the learning platform with Google Classroom and Microsoft Kaizala in terms of self-efficacy and students' mathematical communication skills. The population of this research is the XII grade students of SMK Negeri 1 Giritronto Wonogiri which consists of sevent classes. From the existing population, two classes were taken randomly, namely twelfth grade of TKJ-I and twelfth grade of TKJ-II as research samples. Twelfth grade of TKJ-I was given treatment by learning using the Microsoft Kaizala platform, while twelfth grade of TKJ-II was given treatment using the Google Classroom platform. The research data were analyzed by statistical one sample t-test, MANOVA test with Hotelling's T2 at a significant level of 0.05 and univariate test to determine which platform is more effective. The results showed that: (1) statistical learning using the Microsoft Kaizala platform was effective in terms of mathematical communication and self-efficacy, while the Google Classroom platform was effective in terms of mathematical communication but not effective in terms of self-efficacy; (2) there is a difference in effectiveness between the Microsoft Kaizala platform and Google Classroom. The Microsot Kaizala platform is more effective than Google Classroom in terms of the mathematical communication skills of class twelfth grade students of SMK Negeri 1 Giritronto Wonogiri.
Analysis of Rainwater Harvesting (RWH) Capacity in Leuwigajah Urban-Village, South Cimahi

Leuwigajah Urban-Village is an area belonging to Citarum Watershed. Thus, it has a high potential to experience floods during the rainy season. Meanwhile, the area often experiences drought during the dry season due to high surface runoff and low infiltration. This paper discusses the capacity of RWH needed in N.A. of R.W. 19. It discusses hydrological conditions of the Cimahi watershed by presenting an analysis of rainfall data, land use data, and extreme discharge data, both maximum and minimum extreme discharges. Therefore, the Citarum Harum Community Service team decided to build Rainwater Harvesting (RWH) as a water supply source during the dry season. The RWH was built based on people's water needs 10 years later, from 2022-to 2032. Based on the calculations explained in the Rainwater Storage Module book issued by the Ministry of Public Works and Housing, the volume of RWH needed is 125 m3. However, due to limited land, it was decided to build an RWH with dimensions of 2 m x 2 m x 2 m which can accommodate 8 m3 of water. The water in this RWH can fulfil 6.4% of daily water needs, so it is recommended to be used for emergency purposes or secondary purposes such as agriculture and plantations.
Transformation of University Structure in the Aspect of Participation in the Program of Strategic Academic Leadership ‘Priority-2030’

The article studies an acute issue of university development, in particular the Russian Plekhanov University of Economics, in the context of participation in the contest of universities claiming leadership in working out new academic knowledge, technologies and innovation to be introduced in Russian economy and social sphere under the program of strategic academic leadership ‘Priority 2030’. Restructuring of the current organizational structure of governing educational and academic work acts as a fundamental trend providing implementation of the new strategic program of university development meeting the principles of ‘Priority-2030‘. After a long period of splitting education and science by vertical lines of the predominant linear-functional model, today restructuring implies their integration on the basis of a new strategic unit, i. e. higher school. Concrete advantages of higher school as a new strong point in the system of university governance were demonstrated in comparison with faculties and chairs and hyper-faculties or departments in other universities. A project mechanism of education program management was put forward, which leans on its academic leader. The authors formulated the algorithm of building the academic and educational potential of university and developed a principle scheme of the university educational and academic platform organization, illustrated by the subject field ‘Economic and Management’.
Compartmental spiking neuron model CSNM

The purpose of this work is to develop a compartment spiking neuron model as an element of growing neural networks. Methods. As part of the work, the CSNM is compared with the Leaky Integrate-and-Fire model by comparing the reactions of point models to a single spike. The influence of hyperparameters of the proposed model on neuron excitation is also investigated. All the described experiments were carried out in the Simulink environment using the tools of the proposed library. Results. It was concluded that the proposed model is able to qualitatively reproduce the reaction of the point classical model, and the tuning of hyperparameters allows reproducing the following patterns of signal propagation in a biological neuron: a decrease in the maximum potential and an increase in the delay between input and output spikes with an increase in the size of the neuron or the length of the dendrite, as well as an increase in the potential with an increase in the number of active synapses. Conclusion. The proposed compartment spiking neuron model allows to describe the behavior of biological neurons at the level of pulse signal conversion. The hyperparameters of the model allow tuning the neuron responses at fixed other neuron parameters. The model can be used as a part of spiking neural networks with details at the level of compartments of neurons dendritic trees.
The Didactic Developmental Potential Of Digital Content By Person's Cultural Intelligence

The publication analyzes the experience of creating an Internet resource that is intended for pedagogical support of independent work of students of all levels of education, contemplated in by the current legislation of the Russian Federation.The authors propose the use of digital technologies that determine the possibility of developing cultural intelligence and the subsequent formation of intercultural competence of subjects of educational activity in multiethnic learning environment on the grounds of the recognition of the need to develop tools for the interpretation of didactically significant sources and materials correlated with the regional component of educational programs (the Amur Region, the Khabarovsk Territory).As a result of the implementation of the Internet project, which combined fragmented data of a historical, geographical, botanical, ethnographic, anthropological, cultural nature, the authors testify to the successful application of the methodology of a comprehensive approach to solving educational problems proposed on the basis of digital technologies.The structural analysis method allowed the authors to create an Internet resource that meets academic requirements for developing training programs and raising the level of cultural intelligence.The statistics allowing us to assess the effectiveness of the implementation of the Internet resource, developed for the purpose of implementing the state program «The Development of Education in the Khabarovsk Territory», is based on the responses of the students of the region, as well as teachers, and citizens who have shown an interest in the peculiarities of the development of the Amur region and peculiarities of its development in present time.
Augmented Reality Needs Analysis in Science Learning: Teacher's Perspective

The use of Augmented Reality can increase the activities of students to blend into a natural learning environment no longer abstract. It was merging virtual objects and fundamental interactions anytime and anywhere, which can present 3D objects, which are the most important features of Augmented Reality, resulting in a learning experience different from before. The main purpose of this study is to focus on teachers' views related to material needs and the supporting factors in the acceptance of Augmented Reality, especially in science learning in elementary schools. This study took a sample of teachers in 20 public elementary schools in Surakarta, Central Java, Indonesia, with a total population of 200 teachers with a sample of 30 teachers. The sample includes teachers who have years of teaching experience with different schools. The result is that STEM and Augmented Reality have not been maximally applied in schools; There needs to be broader socialization and training to the need for various Augmented Reality-based science materials that need to be developed.