Reviewerly/exHarmony huggingface dataset:
Classroom Interaction in an Online Speaking Class

&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; The qualitative study aims to look into the patterns and characteristics of interaction in an online speaking course. This research was conducted at Sekolah Vokasi Universitas Gadjah Mada (UGM) Yogyakarta's Oral English for Daily Communication Class of the Applied English Study Program. The researcher observed the online learning sessions to learn about the online teaching and learning process synchronously on &lt;em&gt;Google Meet&lt;/em&gt;. The findings revealed that the teacher and students produced various patterns of interaction involving teacher-class, teacher-student, student-teacher, student-student, and teacher-group interaction, as well as mixed interaction features such as confirmation check, code switching, self-repetition, clarification request, elicitation, completion, other-repetition, and correction.&lt;/p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Tujuan dari penelitian kualitatif ini adalah untuk melihat pola dan karakteristik interaksi yang terjadi dalam kelas berbicara yang dilaksanakan secara daring. Penelitian ini dilaksanakan di Kelas Komunikasi Harian Sekolah Vokasi Universitas Gadjah Mada (UGM) Yogyakarta Program Studi Bahasa Inggris Terapan. Peneliti mengamati sesi pembelajaran daring untuk mempelajari proses belajar mengajar yang berlangsung sinkron di &lt;em&gt;Google Meet&lt;/em&gt;. Hasil analisa data menunjukkan bahwa guru dan siswa menghasilkan berbagai pola interaksi yang melibatkan interaksi guru-kelas, guru-siswa, siswa-guru, siswa-siswa, dan interaksi guru-sekelompok siswa, serta berbagai macam fitur interaksi seperti &lt;em&gt;confirmation check, code switching, self-repetition, clarification request, elicitation, completion, other-repetition &lt;/em&gt;dan&lt;em&gt; correction&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;
Location Privacy-Preserving Query Scheme Based on the Moore Curve and Multi-User Cache

With the rapid development of the Internet of Things, location-based services have emerged in many social and business fields. In obtaining the service, the user needs to transmit the query data to an untrusted location service provider for query and then obtain the required content. Most existing schemes tend to protect the user’s location privacy information while ignoring the user’s query privacy. This paper proposes a secure and effective query privacy protection scheme. The multi-user cache is used to store historical query results, reduce the number of communications between users and untrusted servers, and introduce trust computing for malicious users in neighbor caches, thereby reducing the possibility of privacy leakage. When the cache cannot meet the demand, the user’s location coordinates are converted using the Moore curve, processed using encryption technology, and sent to the location service provider to prevent malicious entities from accessing the transformed data. Finally, we simulate and evaluate the scheme on real datasets, and the experimental results demonstrate the safety and effectiveness of the scheme.
Pengembangan Sumber Belajar Geografi Berbasis Spasial dengan Augmented Reality untuk Meningkatkan Kemampuan Berpikir Tingkat Tinggi

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; The development of spatial-based geography learning resources in the form of animated videos and AStone (Augmented Reality Stone) using the Lee &amp;amp; Owens method. The geography learning resources development is customized to the material and student needs. The results of the development were validated on material experts with 98.5% results and media experts with 100% results. The feasibility of learning resources was tested in small groups with 92% results and large groups with 97% results for students in XI IPS 1 in SMAN 1 Cluring and 98% for geography teachers. Based on the results of questionnaires and questions, geography learning resources in animated videos and AStone (Augmented Reality Stone) are practicable to be applied to lithospheric dynamics material and improve students’ higher-order thinking skills.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Pengembangan sumber belajar geografi berbasis spasial berupa video animasi dan AStone (&lt;em&gt;Augmented Reality Stone&lt;/em&gt;) dengan menggunakan metode Lee &amp;amp; Owens. Pengembangan sumber belajar geografi disesuaikan dengan kebutuhan materi dan siswa. Hasil pengembangan diuji validasikan pada ahli materi dengan hasil 98,5% dan ahli media dengan hasil 100%. Kelayakan sumber belajar diujicobakan pada kelompok kecil dengan hasil 92% dan kelompok besar dengan hasil 97% siswa kelas XI IPS 1 dan 98% guru geografi. Berdasarkan hasil angket dan soal, sumber belajar geografi berupa video animasi dan AStone (&lt;em&gt;Augmented Reality Stone&lt;/em&gt;) sangat layak diterapkan pada materi dinamika litosfer dan dapat meningkatkan kemampuan berpikir tingkat tinggi.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
The Implementation of Reading to Learn Pedagogy in Indonesian Junior Schools: Impact on Students’ Writing Skills and Students’ Perceptions

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This study investigates the effect of Reading to Learn Pedagogy on the writing skill of Indonesian students and their perceptions of the usefulness of the pedagogy. A quasi-experimental study involved 32 seventh graders and 54 ninth graders and two teachers of Junior High School in Indonesia. They were assigned into two groups: experimental and control. The treatment was conducted at eight sessions, including the pre-test and post-test. The scores of pre-test and post-test in writing were used as a base of quantitative data analysis, whereas the student questionnaire was used to obtain data on their perceptions of the usefulness of the Reading to Learn Pedagogy. The result reveals that the Reading to Learn Pedagogy effectively enhances the students' writing skills. Additionally, the students perceived each stage of the Reading to Learn valuable pedagogy in promoting their writing skill and accepted the pedagogy to be implemented to become a better writer of other types of text required by the curriculum.&lt;/p&gt;&lt;p class="Abstract"&gt;&lt;strong&gt;Abstrak:&lt;em&gt; &lt;/em&gt;&lt;/strong&gt;Penelitian ini menyelidiki pengaruh Reading to Learn Pedagogy terhadap keterampilan menulis siswa Indonesia dan persepsi mereka tentang kegunaan pedagogi tersebut. Rancangan penelitian adalah kuasi eksperimen melibatkan 32 siswa kelas tujuh dan 54 siswa kelas sembilan serta dua guru SMP di Indonesia. Mereka dibagi menjadi dua kelompok: eksperimen dan kontrol. Perlakuan dilakukan dalam delapan sesi, meliputi pre-test dan post-test. Nilai pre-test dan post-test secara tertulis digunakan sebagai dasar analisis data kuantitatif, sedangkan angket siswa digunakan untuk memperoleh data tentang persepsi mereka tentang kegunaan Reading to Learn Pedagogy. Hasil penelitian menunjukkan bahwa Reading to Learn Pedagogy efektif meningkatkan keterampilan menulis siswa. Selain itu, para siswa merasakan setiap tahap pedagogi bermanfaat berharga dalam meningkatkan keterampilan menulis mereka dan menerima pedagogi yang akan diterapkan untuk menjadi penulis yang lebih baik dari jenis teks lain yang ditentukan oleh kurikulum.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
Kelayakan dan Pengaruh Modul Digital Usaha dan Energi berbasis Multimedia Interaktif terhadap Penguasaan Konsep

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p class="Abstrak"&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; An interactive multimedia-based digital module developed to improve students' mastery of concepts. This research uses research and development (R&amp;amp;D) methods with the ADDIE model. The ADDIE model consists of 5 stages, is analysis stage, design stage, development stage, implementation stage, and evaluation stage. Inferential statistical data analysis used paired sample t-test. The results of data analysis show that the value of t&lt;sub&gt;count &lt;/sub&gt;= -32.879 &amp;gt; t&lt;sub&gt;table&lt;/sub&gt; = 2.080, then there is an influence of digital modules on concept mastery. The feasibility of digital modules is 93.5% and practicality is 88.5%. The results showed that development of digital modules is feasible and practical to be applied in the learning process and had an effect on increasing students' mastery of concepts.&lt;/p&gt;&lt;p class="Abstrak"&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Modul digital berbasis multimedia interaktif dikembangkan untuk meningkatkan penguasaan konsep. Penelitian ini menggunakan metode &lt;em&gt;Research and Development&lt;/em&gt; (R&amp;amp;D) dengan model ADDIE. Model ADDIE terdiri dari 5 tahap yaitu tahap &lt;em&gt;analysis, &lt;/em&gt;tahap&lt;em&gt; design, &lt;/em&gt;tahap&lt;em&gt; development, &lt;/em&gt;tahap&lt;em&gt; implementation, &lt;/em&gt;dan tahap&lt;em&gt; evaluation&lt;/em&gt;. Analisis data statistik inferensial menggunakan uji paired sample t-test. Hasil data analisis menunjukkan bahwa nilai t&lt;sub&gt;hitung&lt;/sub&gt; = -32.879 &amp;gt; t&lt;sub&gt;tabel&lt;/sub&gt;= 2.080, maka terdapat pengaruh modul digital terhadap penguasaan konsep. Kelayakan modul digital sebesar 93.5% dan kepraktisan sebesar 88.5%. Hasil penelitian menunjukkan bahwa pengembangan modul digital layak dan praktis diterapkan dalam proses pembelajaran serta berpengaruh terhadap peningkatan penguasaan konsep siswa.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
IMAGE ENHANCEMENT AND DE-NOISING TECHNIQUES OF MAGNETIC RESONANCE IMAGES

Medical images have noise, such as salt and pepper, speckle, and gaussian noise. So, getting the accuracy of magnetic resonance images is challenging always. The accuracy of brain images is essential for the clinical diagnosis process. The nonlinear method of median and morphological filters is used for enhancement, contrast adjustment, and histogram equalization for medical images and speech processing, to preserve them from noise and edge features. Because of its edge-preserving properties, this median spatial filter window is critically important and better for removing impulsive noise and speckle noise. Nine different shapes of windows and five different sizes of windows and five noise density injections are used for evaluating the performance of the median filter. The first person J.W.Tukey, did the smoothing process by median rank selection filter. The denoising using morphological process is also considered for analysis. These two nonlinear methods like median filtering and morphological methods are used for the restoration of noise from the original image. These two methods are applied in normal and seizure-affected images to calculate quality assessment metrics and also the performance evaluation metrics from magnetic resonance images. Any image needs to be denoised to get the accuracy, precision, and F-measure kind of common feature evaluation metrics. This paper evaluates two nonlinear filtering methods and their performance evaluated based on shapes and size of windows and for suppressing or de-noising to produce original noise-free images to assist clinically.
Klasterisasi Penjawab Berdasar Kualitas Jawaban pada Platform Brainly Menggunakan K-Means

Brainly is a Community Question Answering (CQA) educational platform that makes it easy for users to find answers based on questions posed by students. Questions from students are often answered quickly by many answerers interested in the field being asked. The number of available answers is the choice of students to be able to receive answers and give a good rating to the answerer. Based on the number of good ratings, an answerer can be said to be an expert in certain subjects. Therefore, this research focuses on finding expert answering groups who have quality answers. K-means clustering is possible to group the answering data into two different clusters. The first cluster is expert users with ten respondents, and The second cluster is a non-expert cluster with 474 respondents. The expert cluster data is expected to help the questioner to be able to ask questions directly to the experts and obtain quality answers. Meanwhile, the number of clusters is determined based on the test results using a silhouette score that obtains a value of 0.971, with the optimal number of clusters being two clusters.
Simple Color Calibration Method by Projection onto Retroreflective Materials

Retroreflective materials have the property of directional reflection, reflecting light strongly in the direction of the light source, and have been used for road traffic signs. In recent years, retroreflective materials have been used in entertainment and industrial technologies, in combination with projection mapping technology. In general, color calibration is important when projectors are used to control reflected colors. In this study, we investigated a simple color calibration method for retroreflective materials with a 3D shape under the condition that they are observed in the same direction as the light source. Three types of retroreflective materials with different reflective properties were used. First, to measure the reflective properties of each reflective material, the reflective material was fixed to a flat plate and rotated, while the reflected light was measured in the same direction as the light source. It was then confirmed that the reflected light intensity varied smoothly with angular change, and appropriate measurement angles were investigated based on the AIC criterion, aiming to interpolate the reflectance characteristics from a small number of measurement angles. Color calibration was performed based on the reflectance characteristics obtained from the derived measurement angles, and the experiments showed that good color calibration was possible with fewer measurements.
Correction: Tøttrup et al. A Real-Time Method for Time-to-Collision Estimation from Aerial Images. J. Imaging 2022, 8, 62

The authors wish to make the following corrections to the article [...].
On the issue of evaluating educational programs for additional professional education

The article considers the problems of assessing the program of additional vocational education, considering the new realities, the management environment, the widespread introduction of the digital economy, which place new demands on workers and their professional competencies or even changes in their work activities. A methodology is proposed for calculating the integrated index of the educational program effectiveness, including vocational education, considering important economic, social, organizational, and educational components, which involves considering their quantitative and qualitative characteristics. The main conceptual elements of the evaluation system of additional programs are reflected, and the scale and evaluation standards are proposed. The economic effect of the program is determined in cost terms based on the expected revenues and expenses for the program. The article shows an example of calculating private indicators of the effectiveness of educational programs for additional vocational training, and their translation into the relative effect is carried out with the help of the profitability indicator. This allows choosing the educational product necessary for specific consumers to attract additional extra-budgetary funds for the development of science in educational institutions. In addition, the issue of training the necessary personnel in demand for business is being addressed. According to societal needs, personnel with specified professional competencies appear on the labor market. All this creates conditions for realizing the interests of employees, employers, and the state.
Recombination of the academic mobility format of higher schoolteachers in the context of digitalization of education

The paper addresses the need to revise the importance of academic mobility of the professorial and teaching staff in the conditions of digitalization processes in the educational sphere. Information technologies are placed at the top in the current economic and social conditions. In the age of the digital economy, innovative projects are being developed and implemented providing for the emergence of completely new specialities. Universities are shifting the directions of education towards the development of unique programs. The labor market shows the demand for highly competent specialists. For these reasons, the authors have set the goal of finding out the necessary degree of recombining the format of academic mobility of higher school teachers in the conditions of changed competence requirements for a university graduate. The digital economy strategy offers new approaches to the training; respectively, the qualification requirements for teachers are raising to a new level. The implementation of the academic mobility opens up a prospect for solving this problem. Academic mobility is aimed at conducting research or exchanging experience with scientists and teachers at the sites of other universities within the framework of professional development and obtaining new knowledge. The research method was the analysis of scientific papers and information platforms of universities, as well as the study of statistical data of analytical agencies in the field of education. The purpose of the study is implemented through joint educational projects with foreign colleagues The issue of academic mobility has recently been in the focus as a key aspect of the development of the scientific and professional community. In the course of the study, we found out that the teaching staff faced the problem of a lack of digital competencies in the training process. Many teachers may not have access (or may not be able to afford) to exchange methods and technologies.
University brand management as a strategy for innovative development

The study attempts to analyze the university brand management as a positioning strategy component in the international scientific and educational space, examines the relationship between the marketing and brand strategy of Rostov State Economic University (RINH). The purpose of the study is to determine the place of branding in the university innovative development strategy; to analyze the way branding affects the university attractiveness for foreign applicants and to present, using the example of RSUE practical experience, the influence of branding on the applicants motivation to study at a particular university. Considering scientific and theoretical approaches, we can note a multidimensional understanding such category as “branding”. At the same time, both foreign and Russian colleagues refer to common features: the opinion about the consumer brand, popularity and demand in the relevant market. Despite the pandemic and its negative consequences for educational migration, in 2021 RSUE confirmed and strengthened its position in the world and national rankings. Rostov State Economic University entered the top 401-600 best universities in the world in the Times Higher Education University Impact Rankings 2021, took first place among universities in the South of Russia and entered the Top 20 universities in Russia. It seems that the formation of a general strategy of brand management and marketing of the university can be considered as an innovative practice of management of educational organizations and determines the policy of choosing the strategy of educational services as a specific product of the educational institution.
Evaluating a face generator from a human perspective

StyleGAN2 is able to generate very realistic and high-quality faces of humans using a training set (FFHQ). Instead of using one of the many commonly used metrics to evaluate the performance of a face generator (e.g., FID, IS and P&R), this paper uses a more humanlike approach providing a different outlook on the performance of StyleGAN2. The generator within StyleGAN2 tries to learn the distribution of the input dataset. However, this does not necessarily mean that higher-level human concepts are preserved. We examine if general human attributes, such as age and gender, are transferred to the output dataset and if StyleGAN2 is able to generate actual new persons according to facial recognition methods. It is crucial for practical implementations that a face generator not only generates new humans, but that these humans are not clones of the original identities. This article addresses these questions. Although our approach can be used for other face generators, we only focused on StyleGAN2. First, multiple models are used to predict general human attributes. This shows that the generated images have the same attribute distributions as the input dataset. However, if truncation is applied to limit the latent variable space, the attribute distributions change towards the attributes corresponding with the latent variable used in truncation. Second, by clustering using face recognition models, we demonstrate that the generated images do not belong to an existing person from the input dataset. Thus, StyleGAN2 is able to generate new persons with similar human characteristics as the input dataset.
Low-Latency Boolean Functions and Bijective S-boxes

In this paper, we study the gate depth complexity of (vectorial) Boolean functions in the basis of {NAND, NOR, INV} as a new metric, called latency complexity, to mathematically measure the latency of Boolean functions. We present efficient algorithms to find all Boolean functions with low-latency complexity, or to determine the latency complexity of the (vectorial) Boolean functions, and to find all the circuits with the minimum latency complexity for a given Boolean function. Then, we present another algorithm to build bijective S-boxes with low-latency complexity which with respect to the computation cost, this algorithm overcomes the previous methods of building S-boxes.As a result, for latency complexity 3, we present n-bit S-boxes of 3 ≤ n ≤ 8 with linearity 2n−1 and uniformity 2n−2 (except for 5-bit S-boxes for whose the minimum achievable uniformity is 6). Besides, for latency complexity 4, we present several n-bit S-boxes of 5 ≤ n &lt; 8 with linearity 2n−2 and uniformity 2n−4.
Generalized Methods to prove the Factorial and Multinomial Theorems for Machine Leaning and Cybersecurity

Combinatorial techniques with binomial coefficients, factorials and multinomial computation are used as computing algorithm or cryptographic algorithm for the programs development to apply in artificial intelligence and cybersecurity. Methodological advances in combinatorics and mathematics play a vital role in machine learning and cryptology for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. In this article, combinatorial geometric series is discussed more for the application of machine learning and cybersecurity.