Reviewerly/exHarmony huggingface dataset:
Requirements for the Educational Process with Regard to the Achievements of Digital Pedagogy

The article reveals the requirements for the educational process in higher education institutions in the context of digitalization of the modern society. The general characteristics of the digital generation of today's student youth are considered. It is emphasized that, today, in the digital society, the possibilities of quick access to the latest digital technologies determine the way of thinking and behavior of young people. Based on the analysis of the findings of the modern researchers in the field of digital pedagogy, the basic requirements for the organization of the educational process at higher education institutions in a rapidly digitalizing modern society are outlined. They are as follows: providing detailed information and self-defined learning aimed at developing students’ autonomy; personalized learning, which involves the construction of an individual learning trajectory with the mandatory development of an individual plan of learning; the use of active methods of learning (role-playing games, quests, etc.), gamification and simulation, which focuses on the metacognitive involvement of students in educational activities and is characterized by a high degree of interactivity, motivation and emotional attitude to the perception of the educational material; correlation of digital pedagogy with lifelong learning. It is noted that the practical implementation of the model of continuing education justifies the need to form and improve the basics of digital literacy depending on the sphere of human life. It is emphasized that digital learning contributes to developing continuous motivation of young people to acquire new, most objective knowledge, relevant skills and abilities. It is determined that the use of the findings and means of digital pedagogy in the educational process has also led to a change in the traditional pedagogical conceptual apparatus and the emergence of new pedagogical phenomena that require research into their content.
Sliding Space-Frequency Processing of Finite Two-Dimensional Real Discrete Signals Based on the Fourier Transform with Variable Parameters

In the field of Fourier processing of finite signals, three main directions of scientific research have been identified: Fourier processing of one-dimensional finite signals - processing of scalar functions of a scalar argument, Fourier processing of two-dimensional finite signals - processing of scalar functions of a vector argument, multichannel Fourier processing - processing of vector functions of a scalar argument. As part of the creation of a generalized theory of Fourier processing of finite signals, the authors proposed: the theory of spectral analysis of discrete signals at finite intervals in the bases of parametric exponential functions and the theory of two-dimensional digital signal processing in Fourier bases with variable parameters. The developed theories, generalizing the theory of Fourier processing of one-dimensional and two-dimensional signals, are based: on the introduction of new concepts of the shift of finite discrete signals in one-dimensional and two-dimensional cases and the introduction of new basic Fourier processing systems of discrete signals, which have the properties of multiplicativity, functions in the system. The mathematical apparatus of two-dimensional discrete Fourier transform with variable parameters in matrix and algebraic form is considered. A new method for processing finite two-dimensional real discrete signals in the spatial-frequency domain based on the discrete Fourier transform with variable parameters, the method of sliding spatial-frequency processing, has been introduced. An efficient method and algorithm for fast diagonal sliding spatial-frequency processing of finite two-dimensional real discrete signals based on the discrete Fourier transform with variable parameters has been developed. The estimation of the efficiency and effectiveness of the algorithm of the diagonal sliding two-dimensional discrete Fourier transform with variable parameters from the point of view of computational costs is carried out. As a result of experimental studies on model two-dimensional discrete finite signals, the validity, efficiency and reliability of the proposed method of sliding spatial-frequency processing of finite two-dimensional real discrete signals based on the discrete Fourier transform with variable parameters have been proved. A comparison (from the point of view of computational costs) of the developed method of sliding spatial-frequency processing of finite two-dimensional real discrete signals based on the discrete Fourier transform with variable parameters with the standard method of sliding processing of this type of signals is carried out.
DIGITAL LIGHT AS A CONCEPT OF MEDIA THEORY

This article introduces the concept of “digital light” into the Russian-language space of media theory, and also offers its conceptualization as a distributed network medium that transforms cultural practices. The article substantiates the need to distinguish digital light as a separate concept. Unlike the concept of “electric light” introduced by McLuhan, the content of the concept of “digital light” is based on the constructive and physical features of this medium, and not on abstract ideas about “pure information”. This article describes the media properties of digital light, determined by its semiconductor structure and the property of sampling the electrical signal. It substantiates the productivity of considering these structures in the context of a broad concept of digital light, rather than individual technological forms or software solutions. Considered not as a separate technological form, like a light bulb or a screen, but as covering the entire set of radiating and controlling means, and as a dynamic developing network, the elements of which can be both visible to a person and invisible to him (as a part of the infrastructure), digital light creates various situations of multi-channel exchange of electrical signals, eliminating the boundaries between its own digital structure and the illuminated objects of the environment. In particular, digital light allows interactive digital installations to exist and can process and visualize big data in real time. Digital light, understood in this way, turns out to be a medium with its own “message”, which overcomes McLuhan’s claim of electric light as a “medium without a message”.
DIGITAL EDUCATIONAL RESOURCES IN HIGHER PEDAGOGICAL SCHOOL: TRANSITION TO A NEW PARADIGM

The article examines the key features of the post-non-classical worldview, analyzes the principles of the synergetic paradigm. The conclusion is made about the current state of natural science education at the higher pedagogical school and the need to improve its quality. Based on the experience gained at Samara State Socio-Pedagogical University in the process of teaching the discipline "Natural Science picture of the world", new approaches in natural science education are proposed. The main attention is paid to the issue of selection and implementation of digital information technologies in the pedagogical process in the natural science education of humanities students.
Adaptive Learning Rate and Spatial Regularization Background Perception Filter for Visual Tracking

In recent years, the correlation filter (CF) has excellent accuracy and speed in the field of visual object tracking. Training samples for CF are usually generated by circular shifts. Although such training samples combined with Fourier transform can be effective in reducing computational effort. They also give rise to boundary effects. Spatial regularization can effectively suppress the boundary effect, but the learning rate are fixed. They cannot be adaptively adjusted to match environmental changes, and the background information is not suppressed. In this paper, we propose a new Correlation filter model, namely Adaptive Learning Rate and Spatial Regularization Background Perception Filter for Visual Tracking (SRAL). Firstly, the SRAL uses real background information as negative samples to train the filter model. Secondly, we use the Average Peak to Correlation Energy (APCE) and the response value error between the two frames to adjust the learning rate together. In addition, the introduction of the regular term destroys the closed solution of CF, and this problem can be effectively solved by the use of the alternating direction method of multipliers (ADMM). Extensive experimental evaluations on three large tracking benchmarks are performed, which demonstrate the good performance of the proposed method over some of the state-of-the-art trackers.
Predicting the Threat: Investigating Insider Threat Psychological Indicators With Deep Learning

The term "insider threat" can take many forms, ranging from an information security risk to the threat of an active shooter.Accordingly, it is beneficial to researchers and practitioners to understand the relationship between psychological factors and the different types of threats an insider may pose to an organization.This research advances this understanding.Specifically, we investigate the three-way relationship between user-generated text, psychological factors espoused in insider threat literature, and risk indicator categories used by the U.S. Government.We employ advancements in machine learning and Natural Language Processing to investigate this relationship.Specifically, we use Bidirectional Encoder Representations from Transformers (BERT) for word embedding and vector space modeling.Our results indicate that there are indeed associations between established risk categories and the psychological factors seen as predictive of malicious insiders.Our exploratory research also reveals that further research is warranted to advance the predictive capability of insider threat modeling 1 .
Hubungan antara Fasilitas Belajar di Sekolah dengan Hasil Belajar Peserta Didik Kelas V di Sekolah Dasar Negeri

The problem in this reseach is the low learning outcomes of grade V students at SD Negeri 01 Gapura. The purpose of this study was to analyze and know the significant relationship between learning facilities and learning outcomes of class V SD Negeri 01 Gapura. The research method uses is quantitative. The population was 40 students and using saturated samples. The data collection tool using a questionnaire was tested for validity and reliability. The data analysis technique used product moment correlation formula. The results showed that there was a positive and significant relationship between learning facilities and learning outcomes of class V elementary school students 01 Gapura Kotabumi Lampung Utara.
Scrutiny of Digital Video Watermarking and QR Codes

The economic activity on the internet and media require safeguard to enhance the sanctuary to the data. Digital watermarking is an information masking technique wherever Associate in Nursing data or message is cloaked within a symbol clear to the user. This research includes the discussion about the watermarking concepts, Barcodes and QR codes, and algorithms used for the watermarking emerging better robustness, data security and increasing embedding capability. Here we also discussed about the software’s used for watermarking.
Profit Maximization for Cloud Broker in Cloud Computing

As cloud computing evolves, more and more applications are moving to the cloud. Cloud brokers are are like Middlemen between cloud service providers and cloud users. Thus, cloud brokers can significantly reduce the cost of consumers. In addition to reducing the cost per user, the cloud broker can also accommodate the price difference between on-demand virtual machines and dedicated virtual machines. The problem with the current system is that if many customers request a large amount of cloud services at once, the cloud service broker cannot purchase enough cloud services from CSP to meet the needs of all customers. Then there is a peak demand problem where the customer cannot complete the job. As a result, dynamic conditions not only lead to financial problems, but can also negatively impact the customer experience. To solve this problem, the system focuses on guaranteed quality of service for all requests, reduces waste of resources, increases security and maximizes revenue. All jobs are scheduled by the job scheduler and assigned to different VMs in a centralized way. Many factors such as market demand, application volume, SLA, service rental cost, etc. are taken into account to formulate an optimal configuration problem of profit maximization.
The Effectiveness of Children YouTube Songs and Flashcard Games to Teach Vocabulary to Kindergarten Pupils

Teaching English to young learners has attracted many people in the last decades worldwide, so that English has been increasingly practised at the kindergarten levels. The role of parents is very crucial in the early stage of a child. This research shows the effective interaction between kindergarten children’s YouTube songs, flashcard games, and parental involvement in vocabulary learning at Kindergarten Karangturi with online teaching. This research was a quasi-experimental study with a 2x2 factorial design that focuses on two or more independent variables or factors on at least one dependent variable. This study employed two independent variables: teaching with YouTube songs and flashcard games based on the design. This study reveals that there was no significant interaction between two teaching media in teaching vocabulary and parent’s involvement. Using YouTube songs and flashcard games as the vocabulary teaching media to pupils with high parent involvement was effective. However, it also reveals that using youtube songs and flashcard games was ineffective as the vocabulary teaching media to pupils with low parent involvement. This study shows no significant difference in teaching vocabulary with YouTube songs compared with flashcard games to Karangturi Kindergarten pupils. Further research was expected to continue this study by finding another method to teach young learners English to enhance their language mastery.
Research on the Cultivation Mode of Innovative and Entrepreneurial Talents in Law under the Background of New Liberal Arts

As one of the new liberal arts categories, law has always been a key subject of national legal construction. With the continuous development of science and technology and the rapid progress of society, enterprises' demand for legal talents has changed from single type to compound type. The current training mode of legal talents in our country cannot meet the needs of the rapid development of the society. In view of this, combined with the traditional theoretical teaching mode of talent training for law majors, the new talent training methods should be added to explore the suitable mode for the cultivation of innovative and entrepreneurial talent for law majors in China. Starting from the theory and practice, combining with the characteristics of each university, the ultimate goal is to cultivate the compound legal talents with innovative and entrepreneurial ability.
Design and Development of Intelligent Moving Machine Using LabVIEW

The intelligent moving machine is designed for fast response, cost effectiveness and it avoids the obstacle in its path so it is called safe intelligent moving machine (SIMM). An introduction of intelligent behavior of moving machine that can adapt the change as like environment. Also describes the application of intelligent machines. This work presents design and development of an automatic intelligent system for industrial environment using LabVIEW and its real-time hardware implementation. The machine moves forward, backward, left and right through the signals supplied by the control station. LabVIEW programming has been proved to be more efficient than microcontroller to track this intelligent moving machine with the help of DAQ. The additional feature is that our vehicle is also identifying the obstacle in its path when it moving and generates necessary control commands to avoid it.
Forecasting the Existence of Chocolate with Variation and Seasonal Calendar Effects Using the Classic Time Series Approach

Chocolate is the raw material for making cakes, so consumption of chocolate also increases on Eid al-Fitr. However, this is different in the United States where the tradition of sharing chocolate cake is carried out on Christmas. To monitor the existence of this chocolate can be through the movement of data on Google Trends. This study aims to predict the existence of chocolate from the Google trend where the use of chocolate by the community fluctuates according to the calendar variance and seasonal rhythm. The method used is classic time series, namely nave, double exponential smoothing, multiplicative decomposition, addictive decomposition, holt winter multiplicative, holt winter addictive, time series regression, hybrid time series, ARIMA, and ARIMAX. Based on MAPE in sample, the best time series model to model the existence of chocolate in Indonesia is ARIMAX (1,0,0) while for the United States it is Hybrid Time Series Regression-ARIMA(2,1,[10]). For forecasting the existence of chocolate in Indonesia, the best models in forecasting are ARIMA (([11],[12]),1,1) and Naïve Seasonal. In contrast to the best forecasting model for the existence of chocolate in the United States, namely Hybrid Naïve Seasonal-SARIMA (2,1,0)(0,0,1)12 Hybrid Time Series Regression- ARIMA(2,1,[10]), Time Series Regression, Winter Multiplicative, ARIMAX([3],0,0).
Improving visual multi‐object tracking algorithm via integrating GM‐PHD and correlation filter

The traditional visual multi-object tracking methods based on the Gaussian mixture probability hypothesis density filter are generally not well adapted for tracking the targets in the complex scenarios, where there are a large number of unknowable newborn objects and occluded objects, even some missing objects cannot be associated with their previous trajectories when they are redetected. An improved visual multi-object tracking algorithm is proposed by integrating an improved efficient convolution operator of the correlation filter and the Gaussian mixture probability hypothesis density filter. First, a similarity matrix based on the intersection-of-union is proposed for classifying the objects of survival objects, newborn objects, and then the improved efficient convolution operator method is employed to further identify whether the objects disappear or are missing. Moreover, the feature pyramid similarity is proposed to update the objects for enhancing the tracking accuracy. Finally, compared with some challenging methods on some challenging video sequences from publicly available MOT17 dataset, the proposed Gaussian mixture probability hypothesis density–feature pyramid similarity—efficient convolution operator* method has a good performance on detecting the newborn objects, occluded objects, blurring objects and re-identifying the missing objects with higher multiple object tracking accuracy.
Clio: Digital Transformation of Legal Practice - At COVID-19 Speed

Professional services firms face evolving client needs and can better meet these needs through digital transformation.We offer the case of Clio, a leading provider of cloud-based legal technology for law firms to better serve their clients.With the onset of COVID-19, the company recognized that remote client access and services, previously embraced by early adopters, would now become essential for all law firms' survival.The company's response resulted in dramatic growth and the transition from a customer base of early adopters to customers spanning most of the innovation adoption curve.Clio's success throughout this period is attributable to three core elements of the company's strategy: (1) Deep, culturally-rooted commitment to customer success, (2) Research-based understanding of the needs of both law firms and their clients, and (3) Industry thought leadership and assistance.These elements generalize beyond Clio and the pandemic and will help guide any organization seeking to become not just a vendor but an essential partner to its customers.
Multi-Task Imitation Learning for Aircraft Autopilot Systems

In this paper, we focus on training systems for aircraft pilots through a flight simulator. In order to quantitatively evaluate the flight skills, we provide an autopilot system based on CNN. In contrast to autonomous driving vehicles, aircrafts have 6 DOF in the dynamics model. Therefore, control outputs from the autopilot are divided into vertical and horizontal components. In order for the autopilot to determine the respective control outputs, we propose a CNN with branched architecture. Furthermore, the CNN estimates a state of the aircraft, such as altitude and goal direction, in addition to the control outputs. For this purpose, multi-task imitation learning is applied for network training. In the simulation experiments, we show that the aircraft based on the autopilot system is enabled to imitate the instructed flight and land on a desired runway.
The Effects of 8 Weeks Combined Exercise on Health-related Physical Fitness and Blood Lipids in Elementary School Students

The purpose of this study was to investigate the effect of a combined exercise program consisting of aerobic exercise using skipping rope and resistance exercise using weight-bearing on health-related physical fitness factors and blood lipid factors of elementary school students. The study subjects of this study were 20 elementary school students. We divided the study subjects into two groups by equal division. We applied a combined exercise training to one group (10 people), and the other group (10 people) was organized as a control group. The control group controlled the exercise program outside of daily life. As a result of the study, the 8-week complex exercise program did not show significant improvement in the health-related physical fitness factors and blood lipid factors of elementary school students, but there was an improvement potential. In conclusion, combined exercise training of aerobic exercise using jumping rope and resistance exercise using bodyweight is worth reviewing to improve children
Training on the use of video game learning media for clean and healthy living behavior for Aisyiyah kindergarten teachers, Surakarta City

With the emergence of the Covid-19 pandemic at the end of 2019, Clean and Healthy Living Behavior (PHBS) is now more important than ever. This is inextricably linked to people's habits in maintaining their health, so that they are not exposed to Covid-19 disease. As information technology advances, so does the form of media used in learning. As a result, a video game about PHBS has been created to aid in learning and increase the knowledge of teachers at Aisyiyah Kindergarten in Surakarta City. The goal of this activity is to provide kindergarten teachers with training on how to use PHBS video games. This activity is carried out in stages, such as problem analysis, identifying teachers' characteristics, socializing about the use of interactive learning media, analyzing partner needs in interactive learning media, and training the use of PHBS video games. The activity resulted in an increase in PHBS knowledge as well as an increase in teachers' ability to use PHBS video games. The creation of PHBS video games is critical in order to assist teachers in providing PHBS material to their students.