Reviewerly/exHarmony huggingface dataset:
State educational policy in Russia: digest of expert assessments. part i. current issues and problems

In the new year 2023, the Russian state and society entered with the need to solve a number of issues and problems in the field of education, not only accumulated earlier, but also acquired directly during 2022. The prevailing, first of all, foreign policy situation left no doubt about the need to abandon the so-called«Bologna system», in connection with which appropriate decisions were taken at the government level. Due to the prevailing final understanding of the rejection and inequality of the Russian side as a participant in the Bologna process, almost all its participants took absolutely correct and appropriate measures of state response to the current situation. The expert scientific community began to speak out and exchange their positions on the upcoming transformations both in the system of «school education» and higher education. This article presents the opinions of Russian scientists, mainly doctors of sciences, representing various branches of modern Russian science — philosophers, political scientists, sociologists, lawyers, economists on the directions of transformations in the Russian education system in the near future.
Design of Network Big Data Anti Attack System for Carbon Emission Measurement Based on Deep Learning

In order to ensure the integrity and security of carbon emission measurement data, a big data anti attack system design of carbon emission measurement network based on deep learning is proposed. Using the deep learning algorithm, the anti attack system of carbon emission measurement network big data is optimized from two aspects of hardware and software functions. Refit the network traffic collector, parallel processor, memory and other hardware equipment, and adjust the connection mode between the communication network and the system circuit. With the support of the hardware system, the corresponding model is established according to the carbon emission measurement principle and network structure, and the standard characteristics of different types of network attacks are set. Collect the real-time data of carbon emission measurement network, extract the network data features by using the deep learning algorithm, and detect the current network attack type through feature matching, so as to realize the big data anti attack function of the system. Through the system test experiment, it is concluded that compared with the traditional anti attack system, under the function of the optimized design system, the amount of successful data of carbon emission measurement network attack is reduced by 2.12 GB, and the response speed is significantly improved.
A Critical Analysis of Monolingual and Bilingual Pupils’ Ability to Predict Outcome and Comprehend Sentences in a Reading Comprehension

This study was carried out to analyze the monolingual and bilingual pupils’ ability to predict outcome and comprehend sentences in a reading comprehension passage. The research design adopted for the study was Quasi-experimental design. The study was conducted in Uyo, Akwa Ibom State. The population of the study comprised all 5,074 primary schools. The sample size that was used for the study consisted of 127, drawn from primary 3 pupils from 4 private primary schools in Uyo Senatorial District. The main instrument used for data collection in the study was titled “Performance of Monolingual and Bilingual Pupils” (PMBP). To ensure face and content validity of the instrument, the PMBP was given to the researcher’s supervisor and four experts (two in the Department of Early Childhood Education and two in English Department, all in the University of Uyo). In order to ensure the reliability of the research instrument, the PMBP was trial-tested on 30 private primary school children who were not part of the study, but the respondents have similar characteristics with those in the study area. The research questions 1-2 were answered using mean and standard deviation statistics, while the null hypotheses 1-2 were analyzed using Analysis of Covariance (ANCOVA). Decisions on the 2 null hypotheses were taken at .05 level of significance. The study concluded that monolingual and bilingual pupils do not differ significantly in their ability to predict outcome and comprehend sentences in reading comprehension passage. One of the recommendations made was that government, through effective monitoring, should ensure that all private schools teach the vernacular as a subject to their pupils as stipulated in the National Policy on Education for effective implementation.
FP-1: ROBOTICS AND HEALTH: AVATAR TECHNOLOGY FOR SUPPORTING OUR FUTURE SOCIETY

The speaker has been involved in research on tele-operated robots, that is, avatars, since around 2000. Research on Geminoid modeled on oneself is not only scientific research that understands the feeling of presence of human beings, but also practical research that allows one to move one's existence to a remote place and work in a remote place. In this lecture, the speaker will introduce a series of research and development of tele-operated robots, avatars, such as Geminoid and discuss in what kind of society humans and robots will coexist in the future. By using avatars, anyone, including the elderly and people with disabilities, will be able to freely participate in various activities with abilities beyond ordinary people while expanding their physical, cognitive, and perceptual abilities using a large number of avatars. Anyone will be able to work and study anytime, anywhere, minimize commuting to work, and have plenty of free time in the future society.
A New Density Clustering Method based on Dynamic Local Density

Density-based clustering is an important research direction of data mining because density-based clustering algorithms can find clusters with arbitrary shape and are robust to noises. Local density estimation is widely used in the task of clustering and outlier detection. Traditionally, distance-based and statistic-based local density estimation methods are usually adopted for data mining. However, the effectiveness and stability of local density estimation models for clustering are still to be improved. In this paper, we propose a novel density clustering method based on dynamic local density estimation. First, we show Poisson distribution to fit the distribution of reverse <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$k$</tex> nearest neighbor counts and describe the model of dynamic local density estimation. Second, we construct a cluster order based on dynamic local density. Finally, decision graph is developed for density clustering and the identified break points partition the cluster order into clusters. Experiment results show that the new dynamic local density estimation model is effective and can help improve the performance of density clustering.
The Effects of Augmented Reality Modality and User-Product Interaction Design on Consumers’ Product Evaluation: A Cognitive-Experiential Self-Theory Perspective

This research examined the effects of augmented reality (AR) design factors in a mobile shopping app on consumers’ product information processing and product evaluation. An online experiment using a 2 (AR Modality: single vs. dual modality) × 2 (User-Product Interaction: yes vs. no) × 2 (Product: watch vs. flower vase) mixed design was conducted with 480 U.S. mobile shoppers. The findings demonstrate the rational (through cognitive attention and utilitarian value) and experiential (through sense of presence and hedonic value) information processing processes that impact product evaluation in an AR mobile app. Further, the effect of user-product interaction differed by products. This study provides both theoretical and practical implications by suggesting the applicability of learning theories to consumers’ product information learning in the AR environment as well as the importance of tailoring AR design features in a retailer’s mobile shopping app depending on the types of product they carry.
Turbo: A High-Performance and Secure Off-Chain Payment Hub

The scalability problems of blockchain systems are drastically amplified with the emergence of large-scale instantaneous transaction scenarios. Off-chain protocols are a prominent approach to alleviate these challenges. Payment channels allow two parties to lock funds inside the payment channel to enable instant transactions without involving the blockchain. The latest proposed payment hub (PH) allows off-chain transactions between multi-party through a tumbler. However, existing PH suffers from the problem of centralization, low throughput, and expensive challenge processes. We present Turbo, which allows direct, fast, and low-cost off-chain transactions between muti-party. Turbo allows any party to initiate arbitration against the guilty leader via the Immediate Fraud Proof Challenge (IFPC). Compared to NOCUST, Turbo increases throughput by approximately 30x and decreases the cost of the challenge by 50%. Moreover, Turbo reduces the complexity of the challenge process to O (1).
Omnidirectional Stereo Vision Study from Vertical and Horizontal Stereo Configuration

In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the camera calibration is very decisive in its stereo matching. In this study, we will perform stereo matching for an omnidirectional camera with vertical and horizontal configuration so that the result of the image's depth has a 360-degree field of view by transforming the image using a calibration-based method. The result is that by using a vertical camera configuration, the image can be stereo matched directly, but by configuring a horizontal image, it is necessary to carry out a different stereo-matching process in each direction. Stereo matching with the semi-global matching method has better image results than block matching with more image objects detectable by the semi-global block matching method with a maximum disparity value of 32 pixels and with a window size of 21 pixels.
Blockchain-enabled access control to prevent cyber attacks in IoT: Systematic literature review

Internet of Things (IoT) enables communication among objects to collect information and make decisions to improve the quality of life. There are several unresolved security and privacy concerns in IoT due to multiple resource constrained devices, which lead to various cyber attacks. The conventional access control techniques depend on a central authority that further poses privacy and scalability issues in IoT. Various problems with access control in IoT can be resolved to prevent various cyber attacks using the decentralization and immutability properties of the blockchain. This study explored the current research trends in blockchain-enabled secure access control mechanisms and also identifies their applicability in creating reliable access control solutions for IoT. The basic properties of blockchain, such as decentralization, auditability, transparency, and immutability, act as the propulsion that provides integrity and security, disregarding the participation of an external entity. Initially, the application of blockchain was created only for cryptocurrencies but with the introduction of Ethereum, which allows the writiting and execution of smart contracts, applications other than cryptocurrencies are also being created. As various research articles have been written on the usage of different types of blockchains for creating secure access control solutions for IoT, this study intends to find and examine such primary researches as well as come up with a systematic review of various findings. This study perceives the most frequently utilized blockchain for creating blockchain-based access control solutions to prevent various cyber attacks and also discusses the improvement in access control mechanisms using blockchain along with smart contracts in IoT. The present study also discusses the obstacles in building decentralized access control solutions for IoT systems as well as future research areas. For new researchers, this article is a nice place to start and a strong reference point.
Graph Strategy for Interpretable Visual Question Answering

In the paper, we consider the task of Visual Question Answering, an important task for creating General Artificial Intelligence (AI) systems. We propose an interpretable model called GS-VQA. The main idea behind it is that a complex compositional question could be decomposed into a sequence of simple questions about objects’ properties and their relations. We use the Unified estimator to answer questions from that sequence and test the proposed model on CLEVR and THOR-VQA datasets. The GS-VQA model demonstrates results comparable to the state of the art while maintaining transparency and interpretability of the response generation process.
Evolution of the display of high technologies and social networks in the «terminator» universe in 1984-2022

The article is devoted to a comprehensive analysis of the transformation of the reflection of computer technologies and network resources in the Terminator cinematic and literary universe created by the American director J. Cameron in the mid 1980s and early 2020s. In this study the authors substantiate the relevance and scientific component of the problem under study. The paper considers the degree of importance of high technologies and social networks in modern public life. The article provides a justification for the fallacy of the judgment, according to which works of fiction of a fantastic orientation perform purely entertaining function and do not carry a significant semantic load. This article also provides an argument for choosing the Terminator fantastic universe as an example for research, wit an analysis of the reasons for its great popularity and high degree of significance for contemporary art. The authors of the work subject the key components of the topic under consideration to reflection, taking into account the changes that have taken place in the public consciousness over three and a half decades, takin inti account the differences in historical and political realities – from the last quarter of the 20-th century to the present, until the beginning of the third decade of the XXI century. This article provides a comparative analysis of the reasons for significant differences in the display of high technology and online resources in cinema and fiction. The work draws parallels and analogies with historical events, analyzes the use of the religious meanings used in the Terminator universe. The authors of the article analyze the moral issues that are raised by the creators of the fantastic universe of Terminator in the context of the positive and negative consequences of the intense growth of the role of high technologies and communicative Internet sites in the life of human society.
Correlation coefficient of 110 alert amount and weather factors based on SPSS

Encountering with new social environment and data technology, the Police Commanding & Allocating System need grasp the opportunity to utilize infinite cyber data resource and integrate data technology with modern police activities. Urgent command delivered by Control Centre usually makes policemen on duty feel overwhelmed and exhausted. Correct prediction of 110 Amount Alert can help policemen on duty form reasonable psychological expectation and make enough preparation in advance. As is known, weather of a day in the near future is easily and correctly predicted. If correlation of 110 Alert Amount and weather factors is found, we can roughly predict 110 Alert Amount in the future one or two days based on weather forecast.
WEB-BASED CLUSTER OPTIMIZATION USING K-MEDOIDS AND DAVIES BOULDIN INDEX

Abstract: Clustering data has always been a fascinating subject to research numerous perspectives. A variety of knowledge is produced by the calculating process utilizing various algorithms. The genesis of cluster optimization is based on differences of opinion about the cluster's results. In general, cluster and optimization findings are generated using software such as Matlab, RapidMiner, and programming languages like Python. Users, however, have not been satisfied with the results so far. The various outcomes are the primary motivations for continuing to create and develop applications. The goal of this research is to create an application that can evaluate cluster data using the K-Medoids method, which can then be further optimized using the Davies Bouldin Index (DBI). Because the target application is students and lecturers who use it in learning and observers of the cluster field, the application can indeed be accessible through a browser to make it easier to use. For ease of using it, the program is available on both desktop and mobile platforms. Through separately created applications, it is intended that this research will give an alternative to clustering and optimization. Keywords: application, cluster, dbi, k-medoids, optimization Abstrak: Clusterisasi data selalu menjadi topik yang menarik untuk dikembangkan dari berbagai sisi. Proses perhitungannya yang menggunakan berbagai algoritma menghasilkan knowledge yang beragam. Perbedaan pendapat terhasil hasil cluster menjadi dasar munculnya optimalisasi cluster. Umumnya hasil cluster dan optimalisasi diperoleh dari pengolahan menggunakan aplikasi yakni Matlab, RapidMiner, dan bahasa pemrograman seperti Pyhton. Namun demikian hasil yang muncul belum mampu memuaskan pengguna. Hasil yang berbeda menjadi alasan utama pembuatan maupun pengembangan aplikasi masih terus dilakukan. Penelitian ini bertujuan untuk membangun sebuah aplikasi yang dapat memproses data cluster menggunakan algoritma K-Medoids untuk selanjutnya dioptimalisasi dengan Davies Bouldin Index (DBI). Untuk memudahkan penggunaan, aplikasi dapat diakses pada browser karena target aplikasi adalah mahasiswa dan dosen yang menggunakan pada pembelajaran serta pemerhati bidang cluster. Aplikasi dirancang pada platform desktop dan mobile demi memudahkan pengaksesan. Diharapkan, penelitian ini memberikan alternatif dalam proses clusterisasi dan optimalisasi melalui aplikasi yang dirancang mandiri. Kata kunci: aplikasi; cluster; dbi; k-medoids; optimalisasi
Egocentric Computer Vision for Hands-Free Robotic Wheelchair Navigation

Abstract In this paper, we present an approach for navigating a robotic wheelchair that provides users with multiple levels of autonomy and navigation capabilities to fit their individual needs and preferences. We focus on three main aspects: (i) egocentric computer vision based motion control to provide a natural human-robot interface to wheelchair users with impaired hand usage; (ii) techniques that enable user to initiate autonomous navigation to a location, object or person without use of the hands; and (iii) a framework that learns to navigate the wheelchair according to its user’s, often subjective, criteria and preferences. These contributions are evaluated qualitatively and quantitatively in user studies with several subjects demonstrating their effectiveness. These studies have been conducted with healthy subjects, but they still indicate that clinical tests of the proposed technology can be initiated.
Supplemental Material: Disparate crustal thicknesses beneath oceanic transform faults and adjacent fracture zones revealed by gravity anomalies

&lt;p&gt;Details on the geodynamic model, thermal correction, and additional results of all 11 transform faults. &lt;/p&gt;
Models of Blockchain Application in Government Information Systems

The purpose of the article is to study and model certain aspects (methods, algorithms for processing applications) of introducing blockchain technology into individual elements of state information systems. To achieve this goal, the following issues are sequentially considered in the article: analysis of the technical capabilities of blockchain, analysis of algorithms for processing applications on the state portal, study of the technological features of deploying a blockchain network to improve the efficiency of service provision, development of analytical relationships for studying the dependence of processing time, development of a simulation model for research processing time probabilistic characteristics. The article proposes a model for the application of blockchain technology in public information systems, for example, on the portal of public services, taking into account the large number of authorities involved in the process.
Investigation of Panty-Type Harness and Body Distribution of Load Pressure for Virtual-Reality Experience

Background/Objectives: Because the COVID-19 pandemic increases the time spent at home, the demand for active and active leisure life is steadily increasing. In particular, in the leisure and game industry, the demand for virtual-reality games combined with network technology is rapidly increasing from the desktop-type virtual-reality to active virtual reality experiences using various media and devices. Among these experiential activities, the basic equipment is mainly worn on the upper body, and the harness is worn on the lower body. However, conventional harnesses have problems as they are uncomfortable to wear and cause continuous pain.&#x0D; Methods: To improve the comfort and discomfort of the harness, a harness pattern was developed by predicting the load and pressure applied to the body using a three-dimensional (3D) virtual wearing system. After wearing the harness developed using the CLO 3D program virtual model, the clothing pressure in the flight state due to virtual wear was predicted and compared with the actual pressure distribution measured through experiments. For the experiment, pressure sensors were attached to the waist of a human mannequin to observe the change in the load and pressure distribution of the harness.&#x0D; Results: The total pressure value was very similar to the actual measured value as a result of comparing the pressure value measured the clothing pressure in the flight state due to virtual wear predicted in the CLO 3D program.&#x0D; Conclusion/Implications: Therefore, this study aims to improve the problem of existing harnesses by increasing the immersion of virthal-reality in various activities by suggesting the use of a panty-type harness that allows physical activity to be more free and distribute the instantaneously.
SwiftUI Building Blocks

In the previous chapter, you learned how to use SwiftUI to build a simple UI and how to use Xcode’s refactoring tools to keep your code nicely organized and reusable. You also used SwiftUI’s state management system which keeps your app’s views and its data model in sync all the time.
THE RESEARCH OF FACTORS AFFECTING PUBLIC SPEAKING SKILLS OF HIGH-QUALITY ENGLISH STUDIED STUDENT AT CAN THO UNIVERSITY, VIETNAM

The purpose of the study is to find out the factors affecting the public speaking skills of 45th cohort students majoring in high-quality English and make recommendations to improve and enhance the public speaking ability of EFL students from High-quality English Studies Program. The study participants included 86 high-quality English language third-year students. We used questionnaires to collect data and used SPSS statistical software to analyze data by descriptive statistical method. Research results show that students' ability to speak in public is affected by their lack of confidence in speaking. At the same time, the factors of the study program and the school environment also affect the students' public speaking skills. Based on the research results, the paper makes some pedagogical recommendations.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0569/a.php" alt="Hit counter" /&gt;&lt;/p&gt;