Reviewerly/exHarmony huggingface dataset:
Differences and Similarities of Chinese Cultural Words Based on Intercultural Communication Translation

With the expansion of economic globalization, international exchanges have become the common phenomenon. Language is the carrier of culture and a necessary condition for cross-cultural communication. Translation is the expression of one language in another language, and the output of this language includes the thinking rules, habits and transfer of ideas of the source language. English translation is an important method to improve English application ability and promote cultural exchange. Any misunderstanding and misuse of the translation will undoubtedly cause negative effects. This paper is intended to explore some effective translation strategies and techniques for translating Chinese cultural words. In this regard, translators need to have an in-depth and comprehensive understanding and mastery of the Chinese and Western cultures. In the process of translation, they should fully follow the principles of appropriateness and use scientific and reasonable translation methods to accurately express the true meaning to the audience, so as to strengthen the Chinese and Western cultures. Keywords: Chinese cultural words; differences and similarities；intercultural communication; translation strategies
The impact of green entrepreneurship on the organizational structure of projects in Jordan

This study aims to demonstrate the impact of environmental leadership (initiative, risk tolerance, proactive innovation) on the organizational structure of mining projects. The study community is a mining enterprise in Jordan. The study sample consisted of project managers, quality managers and human resources managers. The descriptive analytical approach has been followed. The study sample was taken randomly, and the study sample was calculated by Stephen Thompson’s formula and numbered 109 singles. The researcher relied on the development of a questionnaire by a group of specialists and experts and its distribution by the study community sample. The results were analyzed and the hypotheses of the study were tested using the SPSS program. Most notably, there is a statistically significant impact of green entrepreneurship on the organizational structure of enterprises, and the impact has been positive. The more green entrepreneurship1٪, the greater the enterprise structure, the more 0.823%. The study recommended that senior management of mining projects should be encouraged to develop their organizational structures by adopting environmental leadership strategies, focusing on the continuous improvement of capacities for mining projects in Jordan and introducing innovative, environmentally friendly practices.&#x0D;
High dimensional statistical inference: theoretical development to data analytics

This article is due to appear in the Handbook of Statistics, Vol. 43, Elsevier/North-Holland, Amsterdam, edited by Arni S. R. Srinivasa Rao and C. R. Rao. In modern day analytics, there is ever growing need to develop statistical models to study high dimensional data. Between dimension reduction, asymptotics-driven methods and random projection based methods, there are several approaches developed so far. For high dimensional parametric models, estimation and hypothesis testing for mean and covariance matrices have been extensively studied. However, practical implementation of these methods are fairly limited and are primarily restricted to researchers involved in high dimensional inference. With several applied fields such as genomics, metagenomics and social networking, high dimensional inference is a key component of big data analytics. In this chapter, a comprehensive overview of high dimensional inference and its applications in data analytics is provided. Key theoretical developments and computational tools are presented, giving readers an in-depth understanding of challenges in big data analysis.
The impact of social media, big data and IOT on the supply chain management performance

The development of Industry 4.0, a new digital industrial technology, has a favorable effect on how well the supply chain functions. Big Data, Social Media, and the Internet of Things (IoT) have all been proposed as ways to enhance supply chain performance. Although there has been limited exploratory research in this area, the favorable impact of the Internet of Things (IoT), Social Media, and Big Data on Supply Chain on supply chain and company performance has been empirically confirmed. How the logistics sector is being impacted by Big Data, IoT, and Social Media from a business and customer perspective? Can the Supply Chain be managed and controlled more effectively because of the integration of social media and ICT? Does Supply chain management get better with the incorporation of information and communication technology? The initial goal of this study is to demonstrate the connection that already exists between supply chain management, social media, big data, and the internet of things. Second, we'll discuss how the integration of social media, big data, and the internet of things has affected the sustainability, efficiency, and various flows of supply chain management.
Impact of Distance Learning on Pharmacy and Pharm.D Undergraduates’ during the COVID-19 Pandemic in Jordan

Objective: The study aims to evaluate the impact of distance education on Pharmacy, Pharm.D and postgraduate students’ satisfaction and its associated factors during COVID -19 pandemic.&#x0D; Methods: A cross-sectional web-based survey was distributed online for Pharmacy, Pharm.D and postgraduate Diploma and Master Students across Jordanian universities. Expiratory factor analysis (EFA) and Cronbach’s alpha were conducted to examine the validity and the internal consistency of the survey, respectively. .Analysis of Covariance (ANCOVA), Chi square test and t-test were conducted to evaluate the variables associated with students’ satisfaction with distance learning.&#x0D; Results: A total of 860 students completed the survey. The EFA generated a three-factor model including positive impact, negative impact and general impact. The mean scores of the factors were 2.84 (SD=1.03), 2.78 (SD=0.92) and 2.34 (SD=1.22) respectively. Several factors were associated with students’ level of satisfaction with distant learning including gender, nationality, university type and field of study.&#x0D; Conclusion: Distance education had negative impact on Pharmacy and Pharm.D. students’ satisfaction, which opens the doors for the necessity to improve the distance education for university students. Variables including gender, nationality, university type and field of study were associated with students’ level of satisfaction.
Modeling the bandwidth of perceptual experience using deep convolutional neural networks

When observers glance upon a natural scene, which aspects of that scene ultimately reach perceptual awareness? To answer this question, we showed observers images of scenes that had been altered in numerous ways in the periphery (e.g., scrambling, rotating, filtering, etc.) and measured how often these different alterations were noticed in an inattentional blindness paradigm. Then, we screened a wide range of deep convolutional neural network architectures and asked which layers and features best predict the rates at which observers noticed these alterations. We found that higher-level layers/features predicted how often observers noticed different alterations with extremely high accuracy (i.e., at the noise ceiling). This suggests that the extent to which observers noticed alterations to a scene depend on the extent to which higher-level features of a scene were preserved or changed. These findings suggest that perceptual awareness is limited by higher-level features of the human visual system.
Inherent Twitter-like Structure of Classical Religious Sources

Classical religious texts remain an essential part of human culture due to their undiminished influence on the advancement of civilization. Although their entirely divine origin is questioned repeatedly, explicit or implicit quoting and adherence to their basic guidelines are fundamental in modern society. In this respect, these documents&amp;rsquo; inner structure and linguistic style appear to be pivotal. This paper considers the topic from the standpoint of small textual patterns classified using deep learning methods, traditionally applied to analyze short textual material like tweets. We divide the considered documents into small sequential chunks imitating tweets and categorizing them, classifying an entire text. The proposed method demonstrates that the religious text collections correspond to stable &amp;rdquo;Twitter&amp;rdquo;-like structures that adequately reflect stylistic properties. So, concise word combinations seem to be an inborn textual attribute that adequately outlines the proposed multi-source authorship. This approach differs from traditional methods of analyzing classical religious documents, which are based on the consideration and interpretation of relatively long templates. The case study consists of three famous collections of Mosaic authorship in the Old Testament (Hebrew), Pauline authorship in the New Testament (Greek), and Al-Ghazali authorship (Arabic). The obtained results go well with most previously expressed evaluations and complement them with new implications, particularly in the authorship of two famous manuscripts attributed to Al-Ghazali.
The impact of pedagogical assessment on increasing motivation to learn and the quality of education

This article discusses methodological approaches to the assessment of academic achievements, analyzes the impact of assessment on the educational motivation of students. The last decade has been a period of intensive search for new conceptual ideas and ways of development for school education. In theory and in practice, the issues of differentiation and profiling of education, integration of the content of education were actively developed, the idea of humanization of school life was introduced. However, time and practice have shown that one of these and other ideas and concepts cannot be considered as the main, all-encompassing because of their focus on improving individual components of a complex school education system. And so that it does not change now, no matter what concepts arise, we can confidently say that more and more specialists accept and actively support the idea of the quality of education as the leading and dominant one. How does the teacher's assessment affect the quality of knowledge?&#x0D; The term "motivation" is widely used in modern education. The survey data can serve as an indicator of increasing the educational motivation of students due to their confidence in the assessment results. The reliability of the assessment is an incentive to activate the educational activities of students and increase interest in this academic discipline. There were difficulties in obtaining an objective assessment in schools and possible ways to overcome them. Motivation is considered as a complex concept closely related to the "desire to learn" and embracing self-esteem, self-efficacy, effort, self-regulation, locus of control and goal orientation. The document describes a systematic methodology for the review and provides an evidence base for conclusions that substantiate concerns about the impact of the final assessment on motivation to learn. The results have implications for policy and practice. The article presents the main provisions of evaluation using the design pattern of tools and evaluation processes based on evidence-based arguments, based on the model of evidence-based design, which assists in the development of high-quality evaluation tools. The use of templates can allow teachers to make greater use of methods of classification, organization and planning of evaluation of learning outcomes based on cognitive abilities and competencies.
Acute supervision matters of student’s independent work

Searching new effective ways in teaching-learning educational policy modern school and university revise and redraft the educational programmes and curricula on a regular basis. The great amount of study time is devoted to the students independent work as it is considered to be an essential part in current-day teaching/learning process. Though, neither the management procedures nor practices have found a settlement. The article discusses the acute patterns of the traditional teaching-learning system of a foreign language and determines the main points in the effective guidance algorithm of the students independent work provided with the scientific approach to the class assignment.
E-sports discursive space: theoretical aspects of analysis

The article is devoted to the notion of discourse and discursive space and revealing the specifics of e-sports discursive space. The article touches upon some problems of research of the discourse and discursive space in Anglo-American, French, German and Russian linguistic conceptions. The notion of e-sports discursive space is introduced for the first time in the linguistic analysis and is characterized as a hybrid dimension incorporating interplay e-sport discourse, mass media discourse, sport medical discourse and internet-discourse. E-sports discursive space may be exposed as a field structure the kernel link of which appears e-sports interplay discourse, uniting game patches and some commands and orders uttered by the cyber-sportsman in the process of the game. It is compressed, well-packed by terminological nominations and directive speech acts, comprising instructions and recommendations on using the avatars. It nominates the user name as an avatar, its game characteristics (forces, power, dexterity etc) and innovations in the system of a game. The other mentioned types of discourses lay on a periphery of the discursive field. Mass-media discourse advances the e-sports discursive space in the field of media translation giving it liveliness, fancy, imagination, expressiveness and evaluative characteristics opposite to some dryness and laconism of interplay e-sports discourse. Sport-medical discourse concerns and discusses physical, psychological and emotional states of e-sportsmen. Internet discourse is realized in the form of chats, blogs an vlogs of e-sportsmen arguing about qualities of sportsmen, advantages and disadvantages of avatars ans strategies of the game. The uniting link of all the discourses included into the single whole e-sports discursive space proves to be the criterion of integrity that is expressed through the unity of the topic, semantics, structure, time and space and event and situation continuum. A special place and significance in the e-sports discursive space is taken by a discursive personality. E-sports discursive personality is realized in e-sports discursive space heterogeneously: on the first level - as a text personality of the avatar and on the second level - as a language personality of the real e-sportsman avatar carrier. The values underlying the e-sports discursive space correspond to sport discourse values getting a victory and with personal discourse orientation getting maximum success in self-development in the field of physical and mental health, psychological robustness, reaction speed, logical strategies etc. E-sport discursive space may be represented as also a cognitive one where an important place is taken by e-sport terminology.
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments

Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to simulate this learning process in machines is a challenging task, also due to the inherent difficulty in creating conditions for designing continuously evolving dynamics that are typical of the real-world. Many existing research works usually involve training and testing of virtual agents on datasets of static images or short videos, considering sequences of distinct learning tasks. However, in order to devise continual learning algorithms that operate in more realistic conditions, it is fundamental to gain access to rich, fully customizable and controlled experimental playgrounds. Focussing on the specific case of vision, we thus propose to leverage recent advances in 3D virtual environments in order to approach the automatic generation of potentially life-long dynamic scenes with photo-realistic appearance. Scenes are composed of objects that move along variable routes with different and fully customizable timings, and randomness can also be included in their evolution. A novel element of this paper is that scenes are described in a parametric way, thus allowing the user to fully control the visual complexity of the input stream the agent perceives. These general principles are concretely implemented exploiting a recently published 3D virtual environment. The user can generate scenes without the need of having strong skills in computer graphics, since all the generation facilities are exposed through a simple high-level Python interface. We publicly share the proposed generator.
Actual aspects of tutoring in inclusive education

The article discusses the changes in the role of the tutor of inclusive education in the formation of an individual education route for students with special needs in the open educational space.
A pilot experiment on the development of students' research skills when teaching mathematics under conditions of inclusion

Introduction. The implementation of educational programs in a modern school involves the formation of universal educational actions, including those actions that ensure the successful implementation of research activities, the so-called research skills in all categories of students. Unfortunately, there is currently an increasing trend in the number of children and adolescents with disabilities, which actualizes the problem of introducing inclusive education. The potential of mathematics as a school discipline can be used to form and evaluate the research skills of schoolchildren under conditions of inclusion. The purpose of the article is to present the experience of organizing a pilot experiment on the formation of research skills of ninth grade students in teaching mathematics under inclusion conditions and to analyze its results. Research methods. The analysis and generalization of scientific literature on the theory of problem-based learning, on the problems of mathematical training of children with disabilities and the use of interactive teaching methods are applied. Empirical methods were used: questioning of teachers and teachers of mathematics of educational organizations; observation; design of didactic tools to ensure the process of formation of research skills of all categories of students; pilot experiment and analysis of its results. The study involved the experimental ninth grade of school No. 55 in Novokuznetsk, in which there was a student with disorders of the musculoskeletal system (DMS). In the experiment, a binomial criterion was used to process the results. Results. The students of the experimental group were involved in the process of forming research skills, while the key feature of the methodology used is its reliance on a specially developed system of multi-level research open mathematical problems and differentiated educational research with the possibility of their implementation by means of a digital educational environment in online and offline format. A statistically significant positive dynamics of the development of research skills of ninth graders, including a student with disabilities, was revealed: Zem&gt;Zcrit (2.46&gt;1.64). Conclusion. The methodological techniques for the formation of research skills of schoolchildren in teaching mathematics under conditions of inclusion are summarized; the conclusion is made about improving the quality of mathematical education and promising areas for further research.
Coresets based asynchronous network slimming

Abstract Pruning is effective to reduce neural networks’ parameters and accelerate inferences, facilitating deep learning in resource-limited scenarios. This paper proposes an asynchronous pruning method for multi-branch networks on the basis of our previous work on channel coresets constructions, to achieve module-level pruning. Firstly, this paper accelerates coreset based pruning by batch sampling with a sampling probability decided on our-designed importance function. Secondly, this paper gives asynchronous pruning solutions with an in-place distillation of feature maps for deployment on multi-branch networks such as ResNet and SqueezeNet. Thirdly, this paper provides an extension to neuron pruning by grouping weights as channels. During tests on sensitivity of different layers to channel pruning, our method outperforms comparison schemes on object detection networks, indicating advantages of data-independent channel selections in maintaining precision. As shown in tests of asynchronous pruning solutions on multi-branch classification networks, our method further decreases FLOPs with a small accuracy decline on ResNet and acquires a small accuracy increment on SqueezeNet. In tests on neuron pruning, our method achieves an accuracy comparable to existing coreset based pruning methods by two solutions of precision recovery.
The cognitive potential of social media in pre-university training as an effective teaching practice

Introduction. The paper aims to investigate the necessity of engaging social media in the modern educational process, especially at the pre-university stage. The paper presents the academic standards of effective university teaching practices and analyzes the prospects for extending traditional educational technologies from this perspective. In order to achieve the goal, the following tasks are highlighted: 1) to analyse the works on innovative and classical practices of university teaching; 2) to consider the process of evolution of pedagogical approaches to methodological techniques as well as changes in motivation of foreign students; 3) to formulate our own conclusions (based on practice) on the effectiveness of introducing social networks in the educational process. The working hypothesis is that social networks in the educational process at the pre-university stage are not only a distracting element, but can become a powerful motivational lever for learning the Russian language and Russian culture and become a component of attracting a wider range of foreign citizens to study in Russia. Thus, the research focused on traditional and innovative pedagogical and methodological research on pre-university education of foreign citizens, the study of the functionality of social networks in the educational space and as an element of “soft power” of the state, the peculiarities of thinking and motivation of modern foreign students. The following methods were used in the research: analysis of existing pedagogical and methodological experience, making changes to the traditional educational model of teaching, analysis and selection of methods of work with social networks in the educational process, evaluation of effectiveness. Results. The authors come to the conclusion regarding the expediency of introducing social networks (by the example of Instagram) into the traditional educational process at the pre-university training stage as the element which could increase the motivation of foreign students, expand the borders of Russian language and education in Russia and achieve many other aims.