Reviewerly/exHarmony huggingface dataset:
WORLD EXPERIENCE IN IMPROVEMENT OF PEDAGOGICAL STAFF DEVELOPMENT MOTIVATION SYSTEM

The article highlights the topicality of using the world experience to improve the system of motivation for the teaching staff development. Authors emphasize the need to use various innovative methods and the best European practices in the management process of educational institutions; emphasize the numerous opportunities and new mechanisms for teachers’ professional development that provide ways to motivate employee development. The article partly describes the foreign experience of using innovations in improvement of educator development motivation system. Authors analyze the tools for motivating the teaching staff development: identifying categories of employees, in particular, «innovators» and «pioneers» for further work with them, conducting competitions for the best blended learning type projects, creating a success situation and teaching staff encouragement system. Researches claim that the activity of educational institutions in the terms of reform requires the innovative and active behavior of the staff and development of their creative abilities.
Application of Network-based Autonomous Cooperative Learning Model in Computer Teaching

Web-based autonomous cooperative learning can effectively overcome the shortcomings of traditional teaching models and is conducive to improving the effectiveness of computer teaching. The questionnaire survey method was used to find the problems of disconnected computer operation, insufficient communication between teachers and students, and other problems in computer teaching applications. By sorting out the problems, it is proposed that a network-based autonomous cooperative learning model can be introduced to improve computer teaching.
A STUDY ON THE APPLICATION OF "MOBILE MICRO-WRITING + AUTOMATIC CORRECTION + ENGLISH WECHAT" MODEL IN THE INSTRUCTION OF COLLEGE ENGLISH WRITING IN CHINA

In order to change the problems of low teaching efficiency and slow development of students' writing ability in the course of College English Writing in China, this paper puts forward a teaching model of mobile micro-writing + automatic correction + English WeChat, and conducted a 32-class-hour instructional reform experiment in 16 weeks to two classes of sophomores majoring in English. The results show that more than 90% of the students in the experimental class support the teaching model, and their interest in English writing, self-awareness of writing and English writing ability have been significantly improved, especially their average score of English writing has increased by 25.51%. Furthermore, they have significant advantages over the control class in writing time, word number, composition score, writing length, vocabulary use, sentence length, and so on. In the meantime, this study analyzes the existing problems of the intelligent correction system, which provides a reference for the non-English speaking countries' English writing teaching. Article visualizations:
ДРУГОЙ ШУКШИН: ЗАМЕТКИ О СОВРЕМЕННОМ ШУКШИНОВЕДЕНИИ

The article is devoted to the review of monographs on the work of V.M. Shukshin, published over the past five years. Researchers of the creative heritage of the writer and film director managed to offer new prospects in the study of his works. In the monograph by D.V. Maryin, “The non-artistic work of V.M. Shukshin,” for the first time, letters, documentary autobiographies, draft notes, and social and political essays of the writer were systematically studied. The scientific significance of the research by Altai philologists “Semiotics of the artistic space of V.M. Shukshin” and “Geopoetics of V.M. Shukshin” consists in attempts to describe a holistic model of the writer’s artistic world. A book by I.V. Shestakova, “The artistic and visual principles of cinema by V.M. Shukshin,” is distinguished by a synthetic approach to Shukshin’s creativity. According to the author of this work, Shukshin’s film making is a single space for the interaction of literary, pictorial, and musical forms of arts. In addition to film critics, historians, philosophers and sociologists actively joined in the work on Shukshin’s works. The textbook by Prof. S.I. Grigoriev, (Post-Doctoral degree in Sociology) has run through several editions. S.V. Tsyb, Barnaul historian, had published his book entitled “V.M. Shukshin and historical time” by the 90th anniversary of Shukshin.
Innovations and Implementation of Robotics and Artificial Intelligence

Robotics & AI 2020 will focus on current advances in the research and leading Strategies in the field of Robotics & AI and its development with a theme “Innovations and Implementation of Robotics and Artificial Intelligence. With the rising introduction of industrial automation, the anticipated demand for robotics and artificial intelligence is growing significantly. Robotics and Artificial Intelligence have shown most of the development in almost every area such as manufacturing, technology, telecommunications, science, and logistics requiring specific workflow. With the rising introduction of industrial automation, the anticipated demand for robotics and artificial intelligence is growing significantly.
Is high-dimensional photonic entanglement robust to noise?

High-dimensional entangled states are of significant interest in quantum science as they increase the information content per photon and can remain entangled in the presence of significant noise. We develop the analytical theory and show experimentally that the noise tolerance of high-dimensional entanglement can be significantly increased by modest increases to the size of the Hilbert space. For example, doubling the size of a Hilbert space with local dimension d=300 leads to a reduction of the threshold detector efficiencies required for entanglement certification by two orders of magnitude. This work is developed in the context of spatial entanglement, but it can easily be translated to photonic states entangled in different degrees of freedom. We also demonstrate that knowledge of a single parameter, the signal-to-noise ratio, precisely links measures of entanglement to a range of experimental parameters quantifying noise in a quantum communication system, enabling accurate predictions of its performance. This work serves to answer a simple question: "Is high-dimensional photonic entaglement robust to noise?". Here we show that the answer is more nuanced than a simple "yes" or "no" and involves a complex interplay between the noise characteristics of the state, channel, and detection system
The multi-parameter curriculum assessment scheme via fuzzy analytic hierarchy process: A case study

This paper proposes an efficient assessment scheme for curriculum quality of higher education by using of fuzzy analytic hierarchy process. The influencing factors of assessment quality are analyzed in terms of knowledge instruction, personnel cultivation and social service, and then a multi-parameter assessment index system for curriculum quality of higher education and its corresponding mathematical assessment model are established based on fuzzy analytic hierarchy process (FAHP). Meanwhile, the concrete assessment steps of curriculum quality are presented in detail. Additionally, to verify the rationality and feasibility of the proposed assessment method, the higher education course of Military History as the example would be studied.
Towards Secure and Usable Authentication for Augmented and Virtual Reality Head-Mounted Displays

Immersive technologies, including augmented and virtual reality (AR & VR) devices, have enhanced digital communication along with a considerable increase in digital threats. Thus, authentication becomes critical in AR & VR technology, particularly in shared spaces. In this paper, we propose applying the ZeTA protocol that allows secure authentication even in shared spaces for the AR & VR context. We explain how it can be used with the available interaction methods provided by Head-Mounted Displays. In future work, our research goal is to evaluate different designs of ZeTA (e.g., interaction modes) concerning their usability and users' risk perception regarding their security - while using a cross-cultural approach.
Effect of Communication Tools on Perception of Communication and Employee Engagement

Background: While numerous factors influence employee engagement, communication is considered the cornerstone of an engaged workforce. When department operations run 24/7 and staff work 3 days a week, face to face communication can be limited compared to traditional workplace settings. The primary purpose of this study was to evaluate the effect new communication tools would have on the perception of communication in employee engagement scores, particularly communication drivers. Methods: We conducted pre/post surveys of staff perceptions of communication and trend analysis of 2018/2019 employee engagement results. New communication tools included a smart phone app, department newsletter, communication board, start of shift check-ins. We hypothesized an improvement in post-implementation survey results and post-implementation employee engagement survey drivers in communication category, demonstrating improvement in both perception of communication and employee engagement. Results: The pre/post implementation surveys showed 68% of staff were satisfied with overall communication pre-implementation compared to 65% post-implementation. While there was a slight decrease in overall satisfaction with communication, the respondents were given an option to provide comments which revealed overall positive opinions about the new communication tools. For the employee engagement survey, two questions in the Communication and Input category were evaluated for positive agreement by answering either Strongly Agree or Agree. 51.3% agreed in 2019 “I am kept informed of the organization’s future plans and direction” compared to 50.6% in 2018, a 0.7% improvement. 72.7% agreed in 2019 “My manager communicates messages that my coworkers need to hear, even when the information is unpleasant” compared to 62.7% in 2018, a 10.1% improvement. Conclusions: We did not demonstrate improvement in perception of communication by implementation of these communication tools. We did see improvement in employee engagement responses, however, we cannot conclude that the new communication tools specifically contributed. We identified factors which may have influenced results during this timeframe, including leadership changes, management of confidential HR matters, and general adjustment to change. Ongoing assessment and evaluation of communication methods are needed to determine best approaches as staff demographics change, department needs shift, and technology evolves. Disclosures: None
Book Review: Library Licensing: A Manual for Busy Librarians

One of the many challenges librarians face is reviewing and negotiating licensing agreements. Halaychik and Reagan discuss these challenges in Library Licensing: A Manual for Busy Librarians. The scope of this book is much broader than the title seems to indicate, covering not only license-related topics regarding electronic resources in its six chapters, but also information on contract management software, Integrated Library Systems (ILS) and maintenance, and services agreements. For this reason, the book can feel unfocused at times. Chapter 1 briefly introduces basic information about contracts, while chapters 2 through 6 give a broad overview of the mechanics of a contract (including common clauses within contracts) and information concerning organizing, managing, and administering contracts, with examples of checklists and contracts in chapter 5 and subsequent appendixes.
당대 중국(1950∼1980)의 서구 모더니즘 문학 수용과 전유 양상 ― 잭 케루악과 왕쑤오, 샐린저와 쑤퉁을 중심으로

The purpose of this study is to explore the process of adoption and influence of Western modernist literature which was published as internal publication in the 1960s and exerted the greatest influence in the 1980s. The huge influence which Kerouac and Salinger exerted on the Chinese writers in the 1980s can be witnessed in the cases of Wang Shuo and Su Tong. Influence of the Western modernist writers on Chinese counterparts began and expanded from the ‘internal publication’ books of the 1960s and 1970s. These ‘internally published’ books are the very sign that the Chinese were undergoing changes in their perception of the world. The symbol of Beat Generation in China presents a method to understand the new way in Chinese literature and culture in the early 21st century. What is more important is that it is a clear symbol proving that the literature in China after the socialist period is a continuation of the socialist literature through withdrawn and submerged potential, not disconnection from the socialist literature.
Sequential Adversarial Anomaly Detection for Dependent Events

We consider the sequential anomaly detection problem in the one-class setting when only the anomalous sequences are available. We propose an adversarial sequential detector by solving a minimax problem, optimizing the detection performance for the worst-case sequences that mimic the anomalous sequences statistically, and specifically capture the dependence in a sequence of events using the marked point process model. When applying the detector sequentially, we evaluate the likelihood of a given sequence recursively and compare it with a time-varying threshold, which is also learned from data through the minimax problem. Using numerical experiments on simulations and realworld datasets, we demonstrate the superior performance of our proposed method.
A Comparative Study of Blindhide and Filterfirst Algorithm in Digital Images for Steganography Techniques

The study was conducted in the field of hiding messages using the media image.This model is often referred to as steganography technique.Image media used for insertion are BMP (Bitmap Picture) format images, JPEG (Joint Photographic Expert Group) and PNG (Portable Network Graphics).The secret message form that is inserted is in the txt format.The application used for insertion is the Digital Invisible Ink Toolkit.Research parameters include image quality testing, and quantitative testing on each Blindhide algorithm and the Filterfirst algorithm.Image Quality test results using MSE, PSNR, showed significant differences, while the value of SC showed differences but not substantial.The results of testing and analysis evaluations that have been carried out on each image turned out to be an average value of the MSE value of the Blindhide algorithm 0.024 greater than the Filterfirst algorithm 0.023, PSNR Blindhide algorithm 31.91 smaller than the Filterfirst 32.03 algorithm, SC Blindhide algorithm 0.99986 smaller than the Filterfirst algorithm 0.99988.This shows that the insertion of a secret message into the image using the Filterfirst algorithm is safer and will not be suspected.
Artificial Reality + Education: Guangzhou Children's Library Services Innovation

To integrate the application of advanced technologies with library services promotion and transformation is important. However, the application of artificial reality technology in library services is still at the starting stage, it's newfangled and to be explored. This article introduces new technology adoption and service promotion by Guangzhou Children's Library under the tendency of information revolution, to apply new technology to education will probably be more meaningful to children than just games. with the continuous innovation of library services, we believe that children's library will have better development in the future.
Instructional Design of Blended Teaching Based on Mosoteach : —In the Case of Customer Service Course (Bilingual)

This article takes the “Customer Service” bilingual course offered to the Business English major students as an example. Under the guidance of the concept of blended teaching and based on Mosoteach, a mobile teaching and learning platform, the instructional design, teaching implementation, and effect reflection of the course are presented. It is an exploration of bilingual courses teaching in higher vocational education.
On Parameter Tuning in Meta-learning for Computer Vision

Learning to learn plays a pivotal role in meta-learning (MTL) to obtain an optimal learning model. In this paper, we investigate mage recognition for unseen categories of a given dataset with limited training information. We deploy a zero-shot learning (ZSL) algorithm to achieve this goal. We also explore the effect of parameter tuning on performance of semantic auto-encoder (SAE). We further address the parameter tuning problem for meta-learning, especially focusing on zero-shot learning. By combining different embedded parameters, we improved the accuracy of tuned-SAE. Advantages and disadvantages of parameter tuning and its application in image classification are also explored.
Working memory task performance among media multitaskers

The current study explored the Working memory task performance of media multitaskers.  The storage i.e. memory and processes concerned with it i.e. working, is called working memory. Due to the availability and easy accessibility of the media technologies, the youth have been found to squeeze more media content simultaneity (Carrier et al., 2009; Rideout et al., 2010). Using several media types simultaneously, they engage in “media multitasking.” It is problematic due to its adverse consequences for cognitive control i.e. executive functioning (Wallis, 2010). For the purpose of the study, the sample comprised of 80 girl subjects randomly chosen from the Government schools of Chandigarh (Age range =14-18 years; Mean age=16.4 years).  The subjects were classified into Heavy, Moderate and Light media multitaskers using Media Multitasking Index questionnaire by Ophir et al (2009) and their working memory functioning was studied using OSPAN task. The results arrived at through ANOVA were found to be insightfully meaningful for use with media multitaskers.
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version

Learning-based approaches for solving large sequential decision making problems have become popular in recent years. The resulting agents perform differently and their characteristics depend on those of the underlying learning approach. Here, we consider a benchmark planning problem from the reinforcement learning domain, the Racetrack, to investigate the properties of agents derived from different deep (reinforcement) learning approaches. We compare the performance of deep supervised learning, in particular imitation learning, to reinforcement learning for the Racetrack model. We find that imitation learning yields agents that follow more risky paths. In contrast, the decisions of deep reinforcement learning are more foresighted, i.e., avoid states in which fatal decisions are more likely. Our evaluations show that for this sequential decision making problem, deep reinforcement learning performs best in many aspects even though for imitation learning optimal decisions are considered.
An Efficient and Secure Multilevel Keyword Ranked Search for Encrypted Data

with the growing digital communication and networks, the data owners are motivated to outsource their complex data to the global storage space. Greater flexibility and economic saving are the advantages of this global storage space. Before outsourcing the sensitive data, it has to be encrypted in order to enforce the data privacy. In the encrypted data, search service is important to get the necessary data. The stored data is relatively large so it requires multiple keywords in the search query and it will return document in the order of their relevance to these keywords searched. Related works on searchable encryption focus on single keyword search or Boolean keyword search and rarely sort the result and for the multi-keyword search coordinate matching, i.e., as many matches as possible, to effectively capture the relevance of outsourced documents to the query keywords and inner product similarity to evaluate such similarity measure. In Multi-keyword Ranked Search under the coordinate matching, the ranking helps for the efficient retrieval. The multilevel keyword ranked search is implemented by using the cache to reduce the search time.
Based on the OBE concept Research and Construction of University Academic Information Feedback Mechanism

Various institutions have been developing student academic quality evaluation system in recent years. But most colleges focus only on applications, ignoring theoretical research, so there are Academic Quality Evaluation System with no clear ideas. The purpose of this article is to construct a highly efficient and effective information feedback system with a clear idea in the context of “OBE” (Outcomes-based Education), with the help of the students' school assistant group. It has unique theoretical significance.
Natural Language Technologies for Internet Applications

Natural Language Processing (NLP) and related technologies are critical for the success of many Internet applications such as digital libraries, e-commerce and customer service. This talk presents some recent research efforts and trends of four sets of NLP technologies for Internet applications. First, neural language model has been a very popular research direction in the last a few years that serves as the foundation of many NLP technologies and has significantly improved the performance of many applications; Second, machine translation techniques have been substantially advanced to better bridge the language barriers for many Internet applications; Third, the identification of inappropriate Internet text information (e.g., pornographic content) is a challenging research topic due to the diversified text representation; Fourth, machine reading comprehension has been become an important question and answering technology to directly satisfy information needs of many Internet users. These technologies will be discussed with examples from large-scale real-world applications.
Assessment of Somatosensory Sensitivity and Activity of the Electroencephalogram using Body Surface Electrical Stimulation in Virtual Reality Environments

The aim of this study was to assess Virtual Reality (VR) based visual auditory stimulation can relieve pain. To achieve this, the impact that body surface electrical stimulation has on the body surface potentials and activity in the central nervous system in VR environments were extracted. Twenty-two adults participated in this study. The body surface potentials and Electroencephalogram frequencies were measured under various conditions: non-viewing, viewing neutral clips, viewing unpleasant clips, and viewing pleasant clips. The pain index was calculated from the body surface potentials. Participants were asked to complete subjective pain measurement scales. Results showed that the pain index and the relative subjective pain score decreased when presented with unpleasant and pleasant video clips. The incidence of alpha waves declined when presented with unpleasant clips, while the incidence of beta waves increased when presented with unpleasant and pleasant video clips. Inattentiveness to pain due to VR immersion and descending pain inhibition due to awareness of emotional stress after viewing VR clips were considered to have contributed to the decline in the pain index and in relative subjective pain score. This study suggests that it is possible to relieve pain by VR viewing related to unpleasant or pleasant.