Reviewerly/exHarmony huggingface dataset:
Stride Random Erasing Augmentation

This paper presents a new method for data augmentation called Stride Random Erasing Augmentation (SREA) to improve classification performance. In SREA, probability based strides of one image are pasted onto another image and also labels of both images are mixed with the same probability as the image mixing, to generate a new augmented image and augmented label. Stride augmentation overcomes limitations of the popular random erasing data augmentation method, where a random portion of an image is erased with 0 or 255 or the mean of a dataset without considering the location of the important feature(s) within the image. A variety of experiments have been performed using different network flavours and the popular datasets including fashion-MNIST, CIFAR10, CIFAR100 and STL10. The experiments showed that SREA is more generalized than both the baseline and random erasing method. Furthermore, the effect of stride size in SREA was investigated by performing experiments with different stride sizes. Random stride size showed better performance. SREA outperforms the baseline and random erasing especially on the fashion-MNIST dataset. To enable the reuse, reproduction and extension of SREA, the source code is provided in a public git repository https://github.com/kmr2017/stride-aug.
Fault-Tolerant Quantum Error Correction and Fault-Tolerant Quantum Computing

This chapter is devoted to one of the most important applications of quantum error correction, namely the protection of quantum information as it dynamically undergoes computation through so-called fault-tolerant quantum computing. The chapter starts with an introduction of fault-tolerance basics and transversal operations (Section 11.1). It continues with fault-tolerant quantum computation concepts and procedures (Section 11.2). In Section 11.2, the universal set of fault-tolerant quantum gates is introduced, followed by fault-tolerant measurement, fault-tolerant state preparation, and fault-tolerant-encoded state preparation by using Steane's code as an illustrative example. Section 11.3 is devoted to a rigorous description of fault-tolerant quantum error correction. This section starts with a short review of some basic concepts from stabilizer codes. In Subsection 11.3.1, fault-tolerant syndrome extraction is described, which is followed by a description of fault-tolerant-encoded operations in Subsection 11.3.2. Subsection 11.3.3 is concerned with the application of quantum gates on a quantum register by means of a measurement protocol. This method, when applied transversally, is used in Subsection 11.3.4 to enable fault-tolerant error correction based on arbitrary quantum stabilizer code. Fault-tolerant stabilizer codes are described in Subsection 11.3.4. In Subsection 11.3.5, the [5,1,3] fault-tolerant stabilizer code is described as an illustrative example. Section 11.4 is devoted to fault-tolerant computing, in particular to fault-tolerant implementation of the Toffoli gate. Furthermore, in Section 11.5, accuracy threshold theorem is formulated and proved. Finally, in Section 11.6 surface code-based large-scale quantum computing is discussed. After providing the summary remarks in Section 11.7, in the final section (Section 11.8) a set of problems is provided for interested readers to get a deeper understanding of fault-tolerance theory.
The Analysis of the Image-Metaphor Semantic Field Structure in R. Bradbury’s Novel «Fahrenheit 451»

This article is devoted to identification of the image-metaphor semantic field in R. Bradbury’s anti-utopian novel «Fahrenheit 451». The reserch applies cluster analysis aimed at the classification of multi-level features that are identi-&#x0D; fied by qualitative methods within the framework of a single classification scheme. Firstly, we distinguished a list of semantic features, organized within five semantic plans: «categorical» (substantive, verbal, adverbial, adjective features), «anthropological» (anthropo-somatic, anthropo-mental features), «social» (socio-personal, socio-non-personal features), «naturalistic» (natural-biogenic, natural-abiogenic features) and «ontological» (onto-material, onto-non-material features). These semantic features are independently defined according to the di-&#x0D; rect and figurative subject of image-metaphors. Then, with the help of the cluster analysis, we are able to group all the previously identified semantic features into clusters and select the corresponding typical metaphors
Analysis of human resources management practices: the impact of training on performance efficiency of employees of Akhmet Yassawi University

Object: Human resources management (HRM) provides the necessary guidance in order to reach the most efficient result through the most effective way. This paper aims to determine the relation between the descriptive characteristics and HRM practices, and the impact of training practices on the performance of employees. Methods: The authors used the questionnaire method in collecting data and the 5-point Likert system to assess them. Then, the obtained data were analyzed by using SPSS Statistics program. The authors applied the factor analysis, T-test, ANOVA test, regression analysis methods. Findings: This paper determines the impact of training practices, namely, the satisfaction factor and motivation factor, to the performance efficiency of the employees. When the satisfaction factor increases by one unit, the performance level will decrease by 0.145 units. There is a positive correlation between the performance and the motivation factor. If the motivation factor increases by one unit, performance level will also increase by 0.413 units. Conclusion: Training activities increase the professional and technical knowledge of the employees as well as improve their abilities and corporate culture. Thus, it is necessary to provide a working environment where employees can continuously learn and develop themselves through training.
Few2Decide: towards a robust model via using few neuron connections to decide

Abstract Researches have shown that image classification networks are vulnerable to adversarial examples, which seriously limits their application in safely critical scenarios. Existing defense methods usually employ adversarial training or adjust the network structure to resist adversarial attack. Although these defense methods can improve the model robustness to some extent, they often significantly decrease the accuracy on the clean data and bring additional computational cost. In this work, we analyze the impact of adversarial example on neuron connections and propose a Few2Decide method to train a robust model by dropping part of non-robust connections in the fully connected layer. Our model can get high perturbed data accuracy without increasing trainable parameters, meanwhile, get high clean data accuracy. Experimental results prove that our method can provide a robust model and achieve state-of-the-art performance on the CIFAR-10 dataset. Specifically, our Few2Decide method achieves 73.01% adversarial accuracy on the CIFAR-10 dataset under the challenging untargeted attack in white-box settings with an attack strength 8/255, using ResNet-20[4 $$\times $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>×</mml:mo></mml:math> ] architecture.
Awareness, Acceptability, and Perception of Stakeholders on the Vision and Mission of Cavite State University, Teacher Education Department Goals, and Education Program Objectives

This descriptive study aimed to determine the extent of awareness of various stakeholders on the Vision and Mission Statements of Cavite State University, Teacher Education Department Goals, and Education Program Objectives (VMGO), the acceptability level of the VMGO statements of the University, and the level of perception on the VMGO’s congruency and alignment to curricular education activities, operations, and projects. The study which was conducted at Cavite State University Imus Campus was able to yield data from 817 internal and external stakeholders.&#x0D; Results reveal that both the internal and external stakeholders are highly aware of the VMGO of the University and its dissemination in various forms of media. Moreover, they highly understand and accept the VMGO statements. Likewise, their perceptions include strong agreement that the VMGO statements are clearly stated and highly congruent and aligned with the University policies and curricular activities of the Teacher Education Department programs.
From the Environment-Assisted Paradigm to the Quantum Switch

The quantum switch has been witnessing growing attention in the last years due to its advantage in several quantum technologies applications. In particular, it has been proven that the quantum switch can significantly improve the communication rates beyond the limits of conventional quantum Shannon theory. In this paper, we theoretically prove that the quantum switch can be interpreted as a particular instance of the Environment-assisted quantum communication paradigm. The developed analysis is crucial to better understand the limitations of the quantum switch. Furthermore, the analysis is key to shed the light on control strategies within the Environment-assisted communication paradigm.
Innovative features of education in Kazakhstan’s Lyceum-Gymnasium

Educational and training institutions that ensure successful learning and diverse working life must implement problem-oriented analyses of the education system and form future self-education and positive activity skills of the individual. The article deals with historical trends in the development of educational institutions such as lyceums and gymnasiums in Kazakhstan. Data collection was in two parts. The first data collected was secondary data and it was used to analyze the current situation in education. The detailed theoretical analysis of literary sources reveals the peculiarities of formation of the structure of functioning of educational institutions, the analysis of the tendencies of implementation of innovative educational programs in the system of education is carried out. The primary data was collected using an experiment. Based on the data obtained as a special elective course for undergraduate students, the article describes the recommendations aimed at changing the educational system to deepen the historical and pedagogical peculiarities of the development of educational institutions of students.&#x0D; Keywords: educational institutions; gymnasium; innovation; lyceum; structural system of education.
Terapia de oxigenoterapia hiperbárica como tratamento a eventos adversos graves secundários à toxicidade do metotrexato, relato de caso / Hyperbaric oxygen therapy as treatment for severe adverse events secondary to the methotrexate toxicity, case report

Terapia de oxigenoterapia hiperbárica como tratamento a eventos adversos graves secundários à toxicidade do metotrexato, relato de casoHyperbaric oxygen therapy as treatment for severe adverse events secondary to the methotrexate toxicity, case report
An Internet Articles Retrieval Agent Combined With Dynamic Associative Concept Maps to Implement Online Learning in an Artificial Intelligence Course

Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study developed an Internet articles retrieval agent combined with dynamic associative concept maps (DACMs). The system used text mining technology to analyze keywords to filter computer science articles. In previous research, concept maps were manually constructed; in this study, such maps can be automatically and dynamically generated in real time. In a case study of a fundamental course of artificial intelligence, this study designed two experiments to compare students’ learning behaviors while using this system and the Google search engine. The results of the first experiment showed that the experimental group searched for more knowledge articles on computer science using this agent, compared to the control group using the Google search engine. The learning performance of the experimental group was significantly better than that of the control group, while the cognitive load of the experimental group was significantly lower than that of the control group. Furthermore, the results of the second experiment showed that the learning progress of students using the agent was significantly greater than that of students who used the Google search engine. This illustrates that the agent effectively filtered computer science articles, and DACMs helped students gain a deeper understanding of academic concepts and knowledge related to artificial intelligence.
Information Security in Educational Environment

One of the most active consumers and generators of information is the education, where the intellectual and moral potential of future generations is formed. Currently, there are abundant examples of inaccurate, distorted or primitive information presentation in the Internet space. The purposes of the study are to identify the risk factors and threats of information security in higher education; to give a theoretical justification for the urgent necessity of information security at engineering university; to provide successful socialization and personal development in modern society within the era of digital transformation. The study is based on the analysis of psychological, pedagogical and sociological sources, empirical methods: observation, conversation and survey. It allows to study the complex system of potential and real threats to the information security of an individual and society and to assess the main information objects from the point of view of security of students and teachers. The experiment was carried out at Kazan National Research Technological University. The respondents were first, second and third year Bachelors of the Faculty of Plastics and Composites Processing. The respondents were asked to assess the presence of digital safety components in the educational space. Analyzing the data of students’ answers, one can state a high degree of understanding of threats and negative consequences in the digital space, as well as the prevailing desire of students to gain knowledge, recommendations for identifying destructive forms of influence on the Internet, to get acquainted with the strategies for the development of critical thinking and self-development. The system of higher education should focus on ensuring digital security of the subjects of the educational process, preventing harm from dangerous information influences on the cognitive, mental, moral or physical state of the individual.
Training of Students of Engineering and Pedagogical Specialties of Developing Educational Internet Projects

During the last decades, information technologies have been defining the development of modern society. Distance learning, multimedia, online lessons, educational websites, and so on are used in almost all spheres of social and educational activities. However, these aspects are of particular importance in engineering and pedagogical education, since engineering educators are called cadre personnel, whose purpose is to train qualified workers in the system of vocational education. Professional training of competitively qualified workers significantly depends on the professional competence of engineering and pedagogical personnel, as well as on the implementation of information technologies in the educational process. Fluency in Internet technologies, communication and interaction skills in the virtual environment become almost mandatory requirements for training future engineering educators. Thus, information technologies should be selected and applied in a coordinated manner in the process of carrying out various activities, between which recursive connections can be established.
Modelling Network Latency and Online Video Gamers’ Satisfaction with Machine Learning

The Gamer’s Private Network (GPN) technology improves and stabilizes latency of communication between players and servers in online video games, especially when players are distributed worldwide. Latency is known to be the most critical factor in gaming quality of experience. We investigate GPN latency improvement over normal internet and its relationship to player satisfaction using complex, massive data sets, machine learning techniques, and game genres or types. The conclusions confirm the added value of GPN technology for players but also quantify how it meets the exact needs of specific game types.
Overseas Study Tour Organization as a Factor of Intercultural Communication Development of Engineering University Students

The development of intercultural communication of future engineers is determined by the emerging new types of international scientific and technical relations, such as the exchange of scientific and technical information, research and production corporations, international engineering, transfer of specialists and scientists. Therefore, with the development of modern economic cooperation forms, the need for specialists owning new communication capabilities increases. The purpose of the study is to identify the linguistic, psychological and socio-cultural aspects of organization an overseas study tour, to analyze peculiarities of the intercultural communication development among students of an engineering university in the framework of organizing a overseas study tour, to offer ready-made organizational solutions and a model of preparatory measures for preparing a trip of this type. The study is based on theoretical (analysis of psychological, pedagogical, sociological literature, normative documentation and products of students’ educational activities) and empirical research methods (observation, questioning) to study the potential of organizing an overseas study tour in order to develop intercultural communication among students of an engineering university. During the study, students were involved in all stages of organizing the overseas study tour, during which they showed their readiness for written and oral intercultural communication, qualitatively improved their personal skills and strengthened the level of language training. The study found that the role and importance of intercultural communication among students of an engineering university is presently increasing. Its development is largely facilitated by overseas study tours and individual experience of independent decision-making on a wide range of issues related to their organization.
Las TIC como vía de comunicación familia-escuela en la educación compensatoria

The coexistence of social diversity in Spain has led to a situation of socio-economic inequality. This situation prompted the first Compensatory Educational Centers to originate from the Spanish educational system in the 1960s, whose purpose is to support the socio-educational insclusion of students. The main aim of this research is related to the possible association between socio-economic differences and a higher rate of school failure, taking into account the difficulties arising from the Covid-19 situation as ICTs have been established as the main means of communication. The objective of this study is to bring to light the use of ICT resources as a means of communication in the educational field made by the families of the Andalusian Compensatory Educational Centers, and to contrast them with the use by normative families. The sample comprises students and families from the already mentioned schools of the 2nd cycle of Early Childhood Education. To do this, the access to digital devices, the frequency with which they use the educational platforms iPasen / iSéneca, Classroom, or other alternative routes, and their purposes are analyzed. The information is compiled through questionnaires elaborated ad hoc for the research, where the main results point out specific differences between both populations regarding the access and use of the several digital resources. Finally, it can be concluded that the socio-economic level can be considered a determining factor in the communication between the family and the school.
Sparse and Low-Rank Joint Dictionary Learning for Person Re-Identification

In the past decade, the scientific community has become increasingly interested in the re-identification of people. It is still a challenging problem due to its low-quality images; occlusion between objects; and huge changes in lighting, viewpoint and posture (even for the same person). Therefore, we propose a dictionary learning method that divides the appearance characteristics of pedestrians into a shared part, which comprises the similarity between different pedestrians, and a specific part, which reflects unique identity information. In the process of re-identification, by removing the shared part of a pedestrian’s visual characteristics and considering the unique part of each person, the ambiguity of the pedestrian’s visual characteristics can be reduced. In addition, considering the structural characteristics of the shared dictionary and special dictionary, low-rank, l0 norm and row sparsity constraints instead of their convex-relaxed forms are introduced into the dictionary learning framework to improve its representation and recognition capabilities. Therefore, we adopt the method of alternating directions to solve it. The experimental results of several commonly used datasets show the effectiveness of our proposed method.
“Quantum Memory” Quantum Computers and Noiseless Phton Echoes

One of the most important applications of quantum computing is to crack classical cryptosystem. Previous studies showed that the number of qubits required to crack the widely used 2048-bit RSA cipher is about 20 million, which is far beyond the current technology for quantum computing. Recently, É. Gouzien and N. Sangouard of the French Alternative Energies and Atomic Energy Commission proposed a quantum computing architecture based on a two-dimensional grid of superconducting qubits and a three-dimensional multimode quantum memory. They showed that only 13k qubits are required to crack a 2048-bit RSA integer with the help of a long-lived quantum memory with 28 million spatial modes and 45 temporal modes. Their results clearly demonstrate the values of quantum memories in quantum computing and provide an alternative approach for building practically useful quantum computers. Quantum computers require quantum memories to work at microwave band, which remains an outstanding challenge. Based on a detailed analysis of atomic radiations during the quantum storage process, we recently proposed a noiseless-photon-echo protocol which can successfully eliminate the spontaneous emission noise in photon echoes. This protocol is expected to further enable microwave quantum storage and the construction of “quantum memory” quantum computers.