Reviewerly/exHarmony huggingface dataset:
ANASTASIYA MEDOVA PHENOMENOLOGY OF MUSICAL EXPERIENCE Krasnoyarsk, Reshetnev Siberian State University of Science &amp; Technology; Krasnoyarsk State Pedagogical University named after V.P.Astafiev, 2021. ISBN 978-5-86433-873-5 ISBN 978-5-00102-500-9

In my review, I analyze the main theses of Anastasiya Medova’s monograph entitled Phenomenology of Musical Experience (2021). The author of the book raises the issue of what it is that we generally hear as music, as well as many directly or indirectly related other issues with regard to both the essence and the ontological status of music. According to her, it is only the phenomenological methodology that can provide an answer to these questions, which deals with the specifics of a musical object always in the context of the specifics of musical experience. Particular emphasis in the review is placed on the concept of reduction, as it is used in relation to music. It is designed to clear the experience of all elements not related to music as such, including sensitive shape-associations that often arise while listening to music. Another important point in the study of A. A. Medova is her posing of the question as to the regional nature of music and its possible correlation with the sphere of aesthetic in general. In this regard, I point out that the author of the monograph seeks to justify the irreducibility of music to the aesthetic sphere and that her solution of the problem of the possible regionality of music remains insufficiently determined. I also emphasize that one of the points of interest in the book is that Medova works with specific material, notably with the interpretation of significant works of musical art and the analysis of important theoretical statements about the essence of music.
The Penerapan Zeigarnik Effect Sebagi Motivasi Pengerjaan Tugas Akhir Pada Sistem Informasi Tugas Akhir Mahasiswa

The final project is a scientific work based on independent research by students to measure students' abilities by applying the lessons they have learned. In the process, sometimes there are obstacles in the administrative and guidance processes that make students uncomfortable and unmotivated and delay doing their final assignments, especially during the current pandemic which is difficult to be in the outside environment. By utilizing existing technology, an information system design was made that implements a user experience design, namely the Zeigarnik Effect as a stimulation for students to be more motivated in working on the final project. To determine the effect of the application of the Zeigarnik Effect on the design of the Final Project Information System for Students of the Faculty of Computer Science, Sriwijaya University, a Design Thinking approach was used in finding solutions to problems encountered and measuring the System Usability Scale (SUS) and User Experience Questionnaire (EUQ) to determine the level of usability and the evaluation value of the UX factor in the design of the information system is one of the motivational variables in the stimulation factor. So as to produce an information system design that has usability values ​​that are easy to use and meet user satisfaction and motivate users in working on the final project.
Sentiment Analysis Based on Aspects Using FastText Feature Expansion and NBSVM Classification Method

Telkomsel is a service that the people of Indonesia widely use. Complaints from users referring to Telkomsel's service and signal aspects are often made in Twitter tweets with harsh or good language. This is done because users continue to demand to get better service. Therefore, an aspect-based sentiment analysis technique is needed to determine a person's view of each aspect, such as Telkomsel's service and signal aspects. Aspect-based sentiment analysis is a solution to find out the opinions of Telkomsel users based on their aspects. In its implementation, the NBSVM method is used as a classification model that is proven to work well compared to other methods, namely MNB and SVM. The implementation of the expansion of the FastText feature can affect the level of performance model, and the best results are obtained in the Top 1 feature on the signal aspect and Top 5 on the service aspect with a combination of Twitter corpus and news. In this study, the data used is unbalanced and has been handled by applying SMOTE and AdaBoost techniques to the FastText feature expansion model. Based on the results of the tests that have been carried out, SMOTE can handle data imbalances compared to AdaBoost. The performance results of the FastText feature expansion model after SMOTE are applied to get F1-Score 91.24% in the signal aspect and F1-Score 88.75% in the service aspect.
The Mixed Format of Education is a Promising Direction of Training Students of Economic Specialties

Unpredictable abrupt changes in the external environment of the education ecosystem have necessitated the introduction of distance and mixed learning formats into practice and the transformation of forms of interaction between students and teachers. The high quality of students' training in higher education institutions has recently been ensured thanks to the implementation of online courses and the organization of mixed forms of education based on them, which involve remote work to familiarize students with theoretical material by performing skill-oriented tasks remotely, face-to-face seminars and final control of the development of academic disciplines. The subject of the article is a methodological approach to the organization of learning processes taking into account the challenges of the external environment and internal restructuring based on the integration of modern pedagogical teaching methods and technological solutions in order to form a new generation of human capital. The purpose of the work is to substantiate the construction of an integrated design—problem approach in conditions of mixed learning using LMS Canvas as a tool to improve the quality of training of a new generation of human capital. The conceptual foundations of designing the implementation of students' research work in a mixed learning format as an element of professional training of human capital are considered. The conclusions are made that the active inclusion of students in the modern process of the knowledge economy brings them to a high level of responsibility and strict compliance with deadlines for individual stages of work.
DNNEmu: A Lightweight Performance Emulator for Distributed DNN Training

Distributed deep learning system usually leverages large-scale GPU clusters to speed up training. Therefore, for organizations lacking GPU resources temporarily, it is difficult to evaluate distributed communication optimization. Specifically, due to the complex interaction between computation and communication, accurately predicting the performance of distributed training is an almost impossible task. In this paper, we propose DNNEmu, a lightweight performance emulator for distributed DNN training to help ML developers design and optimize the communication strategies before target machines are available. Based on our key observation that the computation overhead could be predicted by input features and replaced by simulation programs, we use CPUs to emulate the communication and computation of distributed training. DNNEmu makes layer-wise predictions based on profiling traces collected by the layer-wise profiler, and emulates DNN training by simulating computation. DNNEmu contains three integrated modules: (i) the layer-wise profiler profiling operators with layer names; (ii) the performance predictor predicting the layer-wise operator runtime; and (iii) the computation simulator simulating the actual computation with the predicted runtime. DNNEmu is implemented over MXNet and requires no changes to the developers’ models or inputs. We show that DNNEmu can emulate distributed training with an average estimation error of $$7.2\%$$ .
The current situation of English teaching in primary schools of China and application research of SPOC-based teaching model

With modern information technology widely applied to school teaching in all aspects, blended teaching based on SPOC is increasingly popular with colleges and universities. However, it’s still rare to see the applied research into it for English teaching in primary schools. In order to explore the application of SPOC in English teaching of primary schools, this paper analyzed the current situation of English teaching in primary schools in China in detail, and then proposed a blended teaching model based on the SPOC platforms of Cloud Class and 17zuoye.com. We also conducted an experiment that lasts about one year by tracking and recording the performance of two groups of classes in Zhongwu Primary School with an experimental class and a control class in each group. After analyzing the experimental data, we found that the SPOC-based teaching model proposed in this paper can achieve good practical results, and can be applied and promoted for future teaching in other schools.
Transmitter Gelombang Frekuensi Radio (RF) FM Berbasis Raspberry Pi

In recent years, technology in the telecommunications sector has developed rapidly, especially with the global situation encouraging the use of long-distance communications. One of these developments is the use of the Raspberry Pi, abbreviated as Raspi, as a substitute for conventional computers for receiving and transmitting FM radio signals. Raspberry Pi is a mini and portable computer that can be used as an alternative to conventional computers in general, such as the use of teleconference media, offices, Big Data, and as a video player with high resolution. The problem in using a computer as an FM radio signal transceiver system is its complex and expensive infrastructure. When compared to the Raspberry Pi 3 with a price range of IDR 500,000 - IDR 1,000,000, a transceiver system using conventional computers requires a computer in general at a price far exceeding the said price. Using Raspi makes it easy to transmit FM radio signals by simply coding through the Raspi terminal. In this study, the authors propose a transmitter system using a Raspberry Pi 3B+ which is connected to a dipole antenna at a working frequency of 100 – 101 MHz. Raspi is operated using the SSH protocol for remote desktops. The operating system used is Raspberry Pi OS with the use of a MAC computer (MAC OS) as a remote desktop. The results show that the Raspberry Pi device can be used to transmit FM radio signals at a frequency of 100 - 101 MHz. The dipole antenna tested using VNA (Vector Network Analyzer) with a length of 71 cm and a linear form can transmit a signal with a VSWR of 1.08 - 1.95:1 at a working frequency of 94.9 - 103.06 MHz and a return loss of -28.1 dBm at a frequency of 98.98 MHz.&#x0D;
Lyudmila D. Akimova

It is the change of an eraSome people leave an imprint in everyones lives around them.&#x0D; Lyudmila Dmitrievna Akimova was one of them.&#x0D; In our (the E-4 department employees) lives, she occupied a very important place, since for several years, she remained the editor-in-chief of the prestigious journal Refrigeration Technology. A lecturer at the Bauman Moscow State Technical University is inextricably linked with the publication of his/her thoughts in the form of scientific articles, thus warranting a permanent communication with the journal editors.&#x0D; The journal Refrigerating Technology helped us to share with professionals what we thought were discoveries and simultaneously learn from the colleagues in the field of low temperatures. In addition, we were aware of all refrigeration measures not only in Russian Federation, but throughout the world. Lyudmila Dmitrievna Akimova helped us to permanently monitor this pulse for several years for which we are deeply grateful to her.&#x0D; Her good memories will always be cherished.&#x0D; The staff of the E-4 department, Bauman Moscow State Technical University.
Psychological and pedagogical examination of the personality model of the future leader of the national technology initiative

Introduction. The problem of creating psychological and pedagogical conditions for the formation of the personality of the future leader of the National Technology Initiative is one of the topical areas in modern education. This issue is especially relevant in modern socio-economic conditions that require new specialists who are ready and able to create new technologies. Materials and Methods. As the main methods, the analysis of sources on the problem under study was used, including regulatory documents, scientific articles on the research topic, as well as generalization and systematization of the data obtained. A psychological and pedagogical examination of the personality model of the future leader of the National Technology Initiative was carried out. Results. A draft personality model of the future leader of the National Technology Initiative is outlined, built on the basis of a generalized opinion of experts. Based on the analysis of personality theories, the main criteria for the personality model of the future leader of the National Technology Initiative are determined. The algorithm of group expert assessment of the personality model of the future leader of the national technological initiative is presented. Methods for registering indicators of the formation of personality substructures of the future leader of the National Technology Initiative are pedagogical and psychological diagnostics, and expert evaluation. Trends of positive dynamics of personality development of the future leaders of the National Technology Initiative were revealed. Discussion and Conclusions. In the work, a psychological and pedagogical examination of the personality model of the future leader of the National Technology Initiative was carried out. As a result, a draft personality model of the future leader of the National Technology Initiative was obtained, built on the basis of a generalized opinion of experts. This model included a description of the qualities of the future leader of the National Technology Initiative and a means of forming and diagnosing these qualities.
On the uniform observability of the relative pose estimation problem using bearing measurements and epipolar constraints

This paper proposes a comprehensive observability analysis of the relative pose estimation of a monocular camera (moving in three-dimensional space) from bearing measurements and epipolar constraints. It extends our previous work on observer design for the particular case of 3-source points with unknown 3D coordinates. The paper addresses the observability analysis of the more general case of n-source points (n ≥ 3) using persistence of excitation of the translational motion and bearing references (or equivalently, the position of the origin of the reference frame with respect to the source points). The key contribution of this work is to show that the persistence of excitation is not enough to guarantee uniform observability. In particular, we show that uniform observability also depends on bearing references and the number of observed source points.
A Robust Receding-Horizon Collision Avoidance Strategy for Constrained Unmanned Ground Vehicles Moving in Shared Planar Environments

This paper deals with the reference tracking and collision avoidance control problems for constrained unmanned ground vehicles moving in shared planar environments. The proposed solution improves the strategy developed in [1] by minimizing the number of vehicle’s full stops required to avoid collisions. This is achieved through a modified traffic manager algorithm that can exploit, in a receding horizon fashion, a preview of the successive vehicle’s waypoints. Such information is properly used to speed up or speed down the vehicles and minimize the chances of future collisions and vehicle’s full stops. The proposed control solutions enjoys recursive feasibility regardless of the waypoint prediction horizon.
SMTWM: Secure Multiple Types Wildcard Pattern Matching Protocol from Oblivious Transfer

Secure wildcard pattern matching (SWPM) involves both sender and receiver entities, where the sender holds long text and the receiver holds short pattern containing wildcard characters. The receiver only learns the position information which the short pattern string appears in the long text string, and does not disclose any information to either party other than the input length. However, standard SWPM considers single kind of wildcard which is not suitable in many scenarios, e.g., normal genes mutate into different kinds of mutated genes in the gene matching scenario. In our study, to better address the above problem, we construct an extended SWPM variant called secure multiple types wildcard pattern matching (SMTWM). In SMTWM functionality, the pattern contains multiple types of wildcard characters, such as (*, #). Besides, wildcards of each type can match special and different characters in the text. Considering the DNA sequence which contains ‘AGCT’ as example, the wildcard ‘*’ can match A and G, and the whidcard ‘#’ can match C and T. We propose a SMTWM protocol based on the oblivious transfer (OT) and the private equality test (PEQT) protocol in semi-honest model. Furthermore, the protocol simply needs a few number of public key operations and some fast symmetric key primitive using OT extension technique. Our experiments have shown that when the length of pattern is $$2^{8}$$ and the length of text is $$2^{16}$$ , the running time is less than 0.4 and 2.5 s in the LAN and WAN.
Approximation of Nonlinear Filters for Continuous-Time Markov Chains under Randomly-Sampled Observations

For a continuous-time Markov chain with finite state space and an observation process with additive Gaussian noise, we consider the problem of designing optimal filters when the measurements of the observation process are available at randomly sampled time instants. We first define the optimal filter in this setting, and derive a recursive expression for it in the form of a continuous-discrete filter. Our main result is oriented at comparing the performance of the proposed filter with the continuous-time counterpart, that is, the classical Wonham filter obtained from continuous observation process. In particular, we show that by taking the sampling process to be a Poisson counter, and increasing the mean sampling rate, the expected value of the posterior conditional distribution of continuous-discrete filter converges to the posterior distribution of a purely continuous Wonham filter.
Image-based Visual Servoing via Nonsingular Fast Terminal Adaptive Sliding Mode Control for a Quadrotor UAV Subjected to Wind Fields

This paper presents the design of an image-based visual servoing developed under a nonsingular fast terminal adaptive sliding mode strategy. The approach considers a quadrotor UAV executing a dynamic target tracking against wind turbulence. The image projection of the target is extracted through a virtual camera method to establish an image features vector that allows controlling the position and heading of the rotorcraft through a nonsingular fast terminal adaptive sliding mode controller, which provides robustness against model uncertainties and bounded external disturbances; and chattering reduction due to the nonoverestimation of its gain. Furthermore, a Lyapunov stability analysis guarantees the practical finite-time convergence of the closed-loop system. Finally, simulation results demonstrate the feasibility and advantages of the proposed visual-based control scheme.
Safe Robot Navigation in a Crowd Combining NMPC and Control Barrier Functions

We propose a sensor-based scheme for safe robot navigation in a crowd of moving humans. It consists of two modules, i.e., the crowd prediction and motion generation module, which run sequentially during every sampling interval. Using information acquired online by an on-board sensor, the crowd prediction module foresees the future motion of the humans in the robot surroundings. Based on such prediction, the motion generation module produces feasible commands to safely drive the robot among the humans by combining a nonlinear Model Predictive Control (NMPC) algorithm with collision avoidance constraints formulated via discrete-time Control Barrier Functions (CBFs). We show the effectiveness of the proposed approach via simulations obtained in CoppeliaSim on the Pioneer 3-DX mobile robot in scenarios of different complexity.
New Classes of Bent Functions via the Switching Method

The switching method is a powerful method to construct bent functions. In this paper, using this method, we present two generic constructions of piecewise bent functions from known ones, which generalize some earlier works. Further, based on these two generic constructions, we obtain several infinite families of bent functions from quadratic bent functions and the Maiorana-MacFarland class of bent functions by calculating their duals. It is worth noting that our constructions can produce bent functions with the optimal algebraic degree.
Modeling of a Photovoltaic Panel and Solar Tracking Control

Generating energy from the sun is a trend of the last decades. In general, most of the electrical energy generated from solar radiation is generated by photovoltaic panels. Normally the performance of these systems depends on the position in which they are installed. Hence the importance of knowing the equations that govern the phenomenological relationships of the system, such as voltage, current and power. This paper describes the model of a photovoltaic panel and the equations that govern it. In addition, two simulations of algorithms for controlling the position of a photovoltaic panel so that it always points in the direction of maximum radiation are presented.
MY CHALLENGING ON QUIZIZZ: EFL LEARNERS’ PERCEPTIONS ON QUIZIZZ IN LITERAL READING

Over the years, the teaching and learning of English have changed from conventional chalk and talk methods to modern methods that involve various platforms such as Quizizz, which is free and easy to use. This study attempts to explores on EFL learners’ perceptions on Quizizz in Literal Reading. Using the case study approach, a total of 30 EFL learners were identified in this research. The results show that EFL learners’ Perceptions look highly upon Quizizz and its implementation in the classroom because it brings many benefits to the learners, including improvement in language proficiency and learning abilities. As a final result, EFL learners’ Perceptions toward E-Learning Quizizz in Literal Reading it can be concluded that 60.8% of respondents agreed, 26.8% stated strongly agree and 12, 4% disagreed related to the using of Quizizz in Literal Reading.