Reviewerly/exHarmony huggingface dataset:
USE OF FORESIGHT TECHNOLOGIES IN DESIGN AND IMPLEMENTATION OF MASTER,S PROGRAMS IN THE FOREIGN LANGUAGE EDUCATION FIELD

Statement of the problem. The article deals with the possibility of modernizing master,s programs in the field of foreign language education through the use of foresight technologies based on the systematization of expert knowledge and designed not only to form strategic thinking, but also to activate cognitive activity of teachers and students. The need to develop new meta-subject technologies is caused by a contradiction between recognition of the prevalence of interactive teaching methods over traditional ones and insufficient development of an algorithm for their use in practice. The master,s programs implemented at the department of foreign languages of the KSPU named after V.P Astafiev, namely: “Modern linguistic education” (full-time education) and “Innovative technologies in foreign language education” (part-time education), major 44.04.01 “Pedagogical education” – are taken as an example. The purpose of the article is to present the authors,&nbsp;recommendations on the introduction of foresight technologies in the process of designing and implementing master,s programs in the field of foreign language education, that take into account the requirements of new Federal State Educational Standards and are aimed at the formation of universal and professional students,&nbsp;competencies. The methodology consists of analysis of existing master,s programs in the field of foreign language education; study of the results of interdisciplinary research of Russian and foreign scientists on the use of subject-language foresight technologies; analysis and generalization of the authors,&nbsp;experience in designing and implementing master,s programs in the field of foreign language education. Results. Authors,&nbsp;recommendations on the introduction of foresight technologies in master,s programs in the field of foreign language education, approved in practice in the context of higher education have been developed. Conclusion. Analyzing the results of approved recommendations, the authors come to the conclusion that use of the foresight technologies in the design and implementation of master,s programs in the field of foreign language education contributes to the formation of students,&nbsp;strategic thinking and activation of their cognitive activity. The author,s recommendations can be applied in the course of masters` training, major 44.04.01 Pedagogical education (full-time and part-time forms).
Modality Shifting Attention Network for Multi-modal Video Question Answering

This paper considers a network referred to as Modality Shifting Attention Network (MSAN) for Multimodal Video Question Answering (MVQA) task. MSAN decomposes the task into two sub-tasks: (1) localization of temporal moment relevant to the question, and (2) accurate prediction of the answer based on the localized moment. The modality required for temporal localization may be different from that for answer prediction, and this ability to shift modality is essential for performing the task. To this end, MSAN is based on (1) the moment proposal network (MPN) that attempts to locate the most appropriate temporal moment from each of the modalities, and also on (2) the heterogeneous reasoning network (HRN) that predicts the answer using an attention mechanism on both modalities. MSAN is able to place importance weight on the two modalities for each sub-task using a component referred to as Modality Importance Modulation (MIM). Experimental results show that MSAN outperforms previous state-of-the-art by achieving 71.13\% test accuracy on TVQA benchmark dataset. Extensive ablation studies and qualitative analysis are conducted to validate various components of the network.
Project 3: The R Form Mailer

Email is something that we simultaneously love and hate. It’s great in that it allows us to conduct quite a bit of business and pleasure through its use, but it can also be an overwhelming avalanche of information when we log in for the first time in several days (or hours, if you’re unlucky!). In this chapter, we’re going to discuss how R can work with email in a few interesting ways. First, we’ll talk about the email packages that R supports. We’ll then dig into one specific package that hooks R up to one of the most popular email providers on the Web: Gmail. We’ll take a side trip down the road of data encryption and security and then return to the big payoff: the R Form Mailer – automated email sending through just a script, making it more flexible than alternatives such as Mail Merge. By the end of this chapter, you’ll be able to send out a bulk email that calculates a salesperson’s commission, without ever needing to take out your calculator. Let’s jump in!
Text Mining of the Midterm Goals of National Universities for the Development of Their Individual Characteristics

This paper attempts to discover the distinguishing characteristics of Japanese national universities, and to determine the strengths of each university by analyzing their midterm goals. We propose a method that extracts words from documents, analyzes them, and visualizes the features of documents on the basis of these extracted words. We developed two systems, a cross-tabulation search engine and a keyword map search engine, for the midterm goal document. In these systems, the user both decides the viewpoint to be compared and analyzed and inputs the search word, so that the relation of the words related to the search word is visualized, and a novel comparison analysis method among university organizations is realized. In this paper, we report the outline of these systems and the results of the verification of the two systems, using “regional contribution” as an example.
Technology Embedding of Classroom Teaching: Types, Issues and Responses

As the new demands on curriculum teaching in the information age, the application of various technologies is profoundly affecting classroom teaching today.The technology-embedded classroom approach includes technologyassisted teaching, technology-integrated teaching, and technology-based teaching.There are still some deficiencies in the technological embedding of course teaching, the technological presentation of knowledge destroys the ecosystem of classroom, the technological controlled teaching hinders the development of teacher-student relationship, and the value orientation under technological efficiency neglects the integrated development of students.It is recommended to develop an ecological view of technological development, a pedagogical system focused on teacher-student interaction and an evaluation system with a multi-valued orientation.
High Efficiency Ring-LWE Cryptoprocessor Using Shared Arithmetic Components

A high efficiency architecture for ring learning with errors (ring-LWE) cryptoprocessor using shared arithmetic components is presented in this paper. By applying a novel approach for sharing number theoretic transform (NTT) polynomial multiplier and polynomial adder in encryption and decryption operations, the total number of polynomial multipliers and polynomial adders used in the proposed ring-LWE cryptoprocessor are reduced. In addition, the processing time of NTT polynomial multiplier is speeded up by employing multiple-path delay feedback (MDF) architecture and deploying pipelined technique between all stages of NTT processes. As a result, the proposed architecture offers a great reduction in terms of the hardware complexity and computation latency compared with existing works. The implementation result for the proposed ring-LWE cryptoprocessor on Virtex-7 FPGA board using Xilinx VIVADO shows a significant decrease in the number of slices and LUTs compared with previous works. Moreover, the proposed ring-LWE cryptoprocessor offers higher throughput and efficiency than its predecessors.
Spatiotemporal Attacks for Embodied Agents

Adversarial attacks are valuable for providing insights into the blind-spots of deep learning models and help improve their robustness. Existing work on adversarial attacks have mainly focused on static scenes; however, it remains unclear whether such attacks are effective against embodied agents, which could navigate and interact with a dynamic environment. In this work, we take the first step to study adversarial attacks for embodied agents. In particular, we generate spatiotemporal perturbations to form 3D adversarial examples, which exploit the interaction history in both the temporal and spatial dimensions. Regarding the temporal dimension, since agents make predictions based on historical observations, we develop a trajectory attention module to explore scene view contributions, which further help localize 3D objects appeared with the highest stimuli. By conciliating with clues from the temporal dimension, along the spatial dimension, we adversarially perturb the physical properties (e.g., texture and 3D shape) of the contextual objects that appeared in the most important scene views. Extensive experiments on the EQA-v1 dataset for several embodied tasks in both the white-box and black-box settings have been conducted, which demonstrate that our perturbations have strong attack and generalization abilities.
LibGuides: Changes in the Library: Webinar Recordings

This is a guide to the upcoming changes to the ICC Library, including new login information, OpenAthens, and Primo VE.
Privacy Preserving Visual Log Service with Temporal Interval Query using Interval Tree-based Searchable Symmetric Encryption

Visual logs become widely available via personal cameras, visual sensors in smart environments, or surveillance systems.Storing such data in public services is a common convenient solution, but it is essential to devise a mechanism to encrypt such data to protect sensitive information while enabling the capability to query visual content even in encrypted format at the services.More precisely, we need smart systems that their security and practicality must be balanced against each other.As far as we know, in spite of their importance in preserving personal privacy, such reliable systems have not gained sufficient attention from researchers.This motivates our proposal to develop a smart secure service for visual logs with a temporal interval query.In our system, visual log data are analyzed to generate high-level contents, including entities, scenes, and activities happening in visual data.Then our system supports data owners to query these high-level contents from their visual logs at the server-side in a temporal interval while the data are still encrypted.Our searchable symmetric encryption scheme TIQSSE utilizes interval tree structure and we prove that our scheme achieves efficient search and update time while also maintaining all important security properties such as forward privacy, backward privacy, and it does not leak information outside the desired temporal range.
PORTRAYING EFL STUDENTS’ LEARNING STYLES IN UTILIZING MOBILE –ASSISTED LANGUAGE LEARNING: HOW TO BE A GOOD LANGUAGE LEARNER?

The advancement of new digital environments and mobile technologies has significantly led to the creation of new theories and models of language education to address the needs and opportunities of the 21st century. Mobile-Assisted Language learning (MALL) is emerged as one of the technological education in promoting ubiquitous learning among students. Since the uniqueness of individuals in processing knowledge, it is necessary to recognize the effectiveness of MALL usage in facilitating diversity of students’ learning preferences. Grounded in VARK framework of learning styles questionnaires and technological acceptance model (TAM), this study aimed to portray EFL students’ learning styles in using MALL to promote learning autonomy as well as the effectiveness of MALL as a platform to learn English. Semi-structured interview of selected participants was conducted in order to gain the data needed afterward. In analysing the data, descriptive statistics and content analysis were employed. This study found that most of the students perceived MALL as beneficial to enrich their learning styles and make them easier in learning language. Furthermore, to be a good language learner, orchestrating learning styles as well as applying metacognitive strategy in utilizing MALL is suggested. However, in integrating mobile devices in the classroom, the teacher should aware with students who are unfamiliar with autonomous learning practice, dependence and less-motivated. Thus, future research is expected to investigate teacher’s strategy in integrating MALL to promote language learning autonomy. Keywords: Language learning styles, MALL, EFL, good language learner, tertiary education
Study on the North Korean Geography Textbooks of the Kim Jong-Un Era

North Korea’s education has been changed a lot when Kim Jong-Un taking power. This study is about textbooks among the changes in education in North Korea, and has been conducted mainly on geography textbooks used in high school. In Kim Jong-Un s period, the high school established Revolutionary History of Dear Sir Kim Jong-Un, an hour each week for three years. The period about Kim Jong-Un first appeared in Geography3, but the name of Kim Jong un was mentioned continuously in the textbook. The number of subjects and class hours in the field of political ideology learning these leadership activities has increased. In high school, geography textbooks consist of geography1, geography2, and geography3, and are assigned 1 hour per week for 3 years. Compared to Kim Jong-Il period, geography textbooks were printed in colour externally and the learning materials’ quantitative increase and qualitative improvement in content. In addition, there have been changes such as browsing and writing references, which reflects the leader s willingness to invest in education. The learning activities that were variously expressed in the existing geography textbooks were grouped using six picture symbols(icons), and attempts were made to improve the learning effect through linked learning with other subjects. In the future, research is needed to compare and understand each other, focusing on subjects commonly learned in the curriculum of South and North Korea. Through this study, if we grasp each other s teaching and learning categories and study the education system, the understanding between South and North Korea will be widened.
A study on Norwegian offshore policy

The world shipbuilding and shipping, offshore industries are experiencing a downturn due to oversupply, low economic growth, and low oil prices. Also, domestic shipbuilding and shipping industries are having difficult time due to bankruptcy of Hanjin shipping and restructuring of DSME. The market outlook for 2020 is still expected to be negative. In order to overcome the recession in the shipbuilding and shipping industry, Korean shipyards and shipping companies are making efforts to strengthen their competitiveness through aggressive investment inducement, restructuring, and merger and acquisition. Various countermeasures are being considered in connection with the government and academia.In order to overcome the current recession, the world’s major maritime and offshore countries are developing a variety of offshore industry clusters based on government’s strong policy support in addition to strengthening their own competitiveness and expanding their competitiveness based on competitive advantage. This is an ideal best practice.This study analyzes the Norwegian offshore policy and offshore industry clusters, one of the most representative maritime powers, and provides data for establishing policies that will lead to sound and continuous development of Korean shipbuilding, shipping, and offshore industries based on this analysis.
Automation Strategies for Unconstrained Crossword Puzzle Generation.

An unconstrained crossword puzzle is a generalization of the constrained crossword problem. In this problem, only the word vocabulary, and optionally the grid dimensions are known. Hence, it not only requires the algorithm to determine the word locations, but it also needs to come up with the grid geometry. This paper discusses algorithmic strategies for automatic crossword puzzle generation in such an unconstrained setting. The strategies proposed cover the tasks of selection of words from a given vocabulary, selection of grid sizes, grid resizing and adjustments, metrics for word fitting, back-tracking techniques, and also clue generation. The strategies have been formulated based on a study of the effect of word sequence permutation order on grid fitting. An end-to-end algorithm that combines these strategies is presented, and its performance is analyzed. The techniques have been found to be successful in quickly producing well-packed puzzles of even large sizes. Finally, a few example puzzles generated by our algorithm are also provided.
Efektifitas Pengendalian Banjir dengan Embung: Studi Kasus Taman Firdaus Universitas Sriwijaya

Flood is triggered by a decrease in catchment areas due to an increase in population, activities, and land requirements, both for settlements and economic activities. The flood occurs annually during the wet season at downstream of the campus of Sriwijaya University. In 2019, the downstream swampy land of about 100 ha was excavated and functioned as a retention basin or small reservoir called Embung. The reservoir at Taman Firdaus, Sriwijaya University, was designed by using spillway's top elevation at +5.00m. The objective of the research was to analyze the effectivity of the reservoir on the flood water level of the Kelekar river. One dimensional modelling was used to model the hydraulic routing through small reservoir and Kelekar river. Based on the results of the modeling, it can be seen that the reservoir at Taman Firdaus Universitas Sriwijaya could hold water as much as 1.446.409,39 m3, and lower the flood water level in the Kelekar River by approximately 1 to 1.5 meters.
Application of inpainting technique for reconstruction of partially detected curvilient features derived from the process of extraction of cartographic features

Abstract Extraction processes of cartographic features from digital images have been of great importance in the area of Cartography, however, the results obtained by these techniques usually have partially detected features, culminating in loss of quality of the extraction process. Thus, this work shows how to improve the quality of the extraction process, by employing an inpainting based technique proposed by Deng L-J et al . The use of this algorithm may contribute greatly to increasing quality of the process of extraction of curvilinear cartographic features partially detected in digital images and can be used in the area of cartography, supporting processes to update cartographic products.
웹기반 토론을 통한 영어 학습자의 상호작용에 대한 연구

This study aims to examine interaction types and cognitive processes involved in Web-based discussions among first-year university students in Korea. 38 students performed 20 minute synchronous written communication by using their Smartphone Kakao Talk application. Their 4 week discussion transcripts were collected and analyzed. The results reveal that two-way messages were more prevalent (75.5%) than one-way interactions and that the cognitive process of Exploration was much more frequently employed (96%). The Web-based discussion is assumed to have contributed to sharing opinions or experiences rather than integrating their ideas as well as promoting confidence in English writing and communication. (Jinju National University of Education)
Replacement freeness: A criterion for separating process calculi

We introduce a new criterion to discern the relative expressiveness of process calculi. Intuitively, a calculus is replacement free if replacing a sub-process that cannot perform any visible action by an arbitrary one never affects the capability of the resulting process to perform a visible action. By relying on two slightly different formulations of our criterion we partition the set of process calculi into three classes. Then, we prove that no suitable encodings between any two of such classes exist; hence calculi belonging to different classes have different relative expressiveness. Finally, we classify many well-known variants of the mainstream calculi CCS and the π-calculus, thus demonstrating their expressiveness gaps.
BUILDING A CULTURE OF SCHOOL LITERACY: CASE STUDY AT AL IRSYAD AL ISLAMIYYAH ELEMENTARY SCHOOL 01 PURWOKERTO

This article seeks to analyze and explain the building a culture of school literacy at Al Irsyad Al Islamiyyah Elementary School 01 Purwokerto. The main focus of this article is to answer the question of how the strategies are carried out by Al Irsyad Al Islamiyyah Elementary School 01 Purwokerto in building a culture of school literacy. The research method used was descriptive to describe the school literacy associated with its implementation in school development. Analysis of the data used to assess the data and information obtained is qualitative. Data collection techniques in this study are interviews, documentation, and library research. In this study, it was found that the strategies carried out by Al Irsyad Al Islamiyyah Elementary School 01 Purwokerto in building a culture of school literacy have shown excellent results by involving all school members, ranging from school principal, teachers, employees, students, school committees and student guardians.n
Anthropomorphic manipulator master-slave teleoperation using 3D depth sensor and color camera

Abstract The article proposes a method for anthropomorphic manipulator teleoperation based on data processing using depth and color cameras of the Kinect controller. Processing data with Kinect allows to determine the coordinates of the nodal points of the operator’s body, which, after recalculation, can be used to generate control signals for the manipulator. The article describes the algorithm and the mathematical apparatus for determining the angles of the operator’s arm joints in real time. The proposed method can be used to control the joints of the manipulator of an anthropomorphic robot, and can also be adapted to control manipulators with a kinematic structure different from the structure of human arm, or to implement other control methods such as gesture control.
Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics

Powered with telematics technology, insurers can now capture a wide range of data, such as distance traveled, how drivers brake, accelerate or make turns, and travel frequency each day of the week, to better decode driver's behavior. Such additional information helps insurers improve risk assessments for usage-based insurance (UBI), an increasingly popular industry innovation. In this article, we explore how to integrate telematics information to better predict claims frequency. For motor insurance during a policy year, we typically observe a large proportion of drivers with zero claims, a less proportion with exactly one claim, and far lesser with two or more claims. We introduce the use of a cost-sensitive multi-class adaptive boosting (AdaBoost) algorithm, which we call SAMME.C2, to handle such imbalances. To calibrate SAMME.C2 algorithm, we use empirical data collected from a telematics program in Canada and we find improved assessment of driving behavior with telematics relative to traditional risk variables. We demonstrate our algorithm can outperform other models that can handle class imbalances: SAMME, SAMME with SMOTE, RUSBoost, and SMOTEBoost. The sampled data on telematics were observations during 2013-2016 for which 50,301 are used for training and another 21,574 for testing. Broadly speaking, the additional information derived from vehicle telematics helps refine risk classification of drivers of UBI.