Reviewerly/exHarmony huggingface dataset:
Use of problem-based learning technology in institutions of higher education

The aim of the article is to establish the basic elements of the use of problem-based learning in HEIs. The three-phase process of implementing the technology of problem-based learning is presented. The results of the implementation of problem-based learning aimed at the development of pre-professional competencies, knowledge transfer, satisfaction and achievement, adequacy of time and effort are presented. The positive role of problem-based learning through understanding the meaning of the course; ability to self-study; ability to learn together; interest in science; ability to solve scientific problems in everyday life. The best models of problem-based learning (Flipped learning-PBL, TBL, CPS, AL-models) are identified. Were noted strategies of activation, which were used in the system PBL (a clear presentation of the focus; confidence in the student potential; stimulation of desire to solve difficult problems; planning for participation; presentation and enticement of unique point of view of the student; the possibility of presentation; gaining competence). The practical value of the study was to present the links of the elements of problem-based learning aimed at its successful implementation in HEIs.
Knowledge of Reading Comprehension of Thai Language with 5W1H Techniques

This article aims to present ideas about reading comprehension in Thai language in terms of meaning, importance, type, principles and usefulness in reading comprehension. Including the theory of reading comprehension of the importanceof Thai language with 5W1H techniques. Reading comprehension using the 5W1H technique is a fast, easy to read skill recognition. When reading is finished, the story can capture the issues and know the story. Because nowadays most people find knowledge from reading. Especially reading comprehension important Whether reading from books, texts or other technology media. In order to be read more efficiently, there is a need for techniques to read as well. The 5W1H technique is a technique that helps develop reading skills, captures the importance that readers can think, interpret, analyze, criticize and summarize ideas from readable stories. Step by step and develop a lot of reading.
Review of Research on Gesture Recognition Based on Radar Technology

In order to know the development context of radar gesture recognition and predict the possible future development trends, the research and development of gesture recognition based on radar technology in recent years was sorted out. Focusing on key technologies such as dynamic gesture information perception, gesture echo signal preprocessing and feature extraction in radar gesture recognition technology, and classification algorithms for gesture recognition, the relevant literature published at home and abroad is summarized and existing methods are summarized. The performance of the system is analyzed and evaluated; the problems to be solved in the research direction are sorted out and the future research directions are prospected. The results show that radar gesture recognition technology has made great progress in human-computer interaction applications. With the deepening of related research, the gesture recognition system based on radar technology will develop towards intelligence.
Course Recommender System Architecture with Sentiment Score

Recommender systems are widely used these days for recommendation of courses. The recommender systems have gained acceptance among users because of their better results. This paper proposes a novel model on optimizing recommender system using sentiment score as a booster method. TOPSYS method is best suited for multi-criteria decision making (MCDM) problems. Sentiment Analysis has been added to existing recommender systems in the form of sentiment score for improving the recommendations. The sentiment analysis will add novelty and will eventually improve recommender system.
MODERN UNIVERSITY: INTRACORPORATE SOCIAL CONTROL OF THE ORGANIZATION OF THE EDUCATIONAL PROCESS IN A PANDEMIC

The article is devoted to the analysis of the capabilities of a modern university in the field of creating a system of social control and prompt response in a pandemic. The social responsibility of a progressive university for employees and students does not allow crisis situations to be left without proper and timely regulation, despite the stochastic nature of external risks. External challenges should reveal the adaptive potential of a successful educational corporation, create new tools for managing efficiency and internal environment. In this regard, an important element of management is the establishment of continuous feedback, control of important indicators of public assessment for making timely management decisions and optimizing the situation. The article proposes a system of such social control through the organization of monitoring, qualitative research, monographic and express measurements, offers as an example a number of important indicators of perception and assessment of the pandemic situation on the part of the student and teaching community, identifies management accents that are subject to analysis and dynamic control, as well as some solutions, adopted by a modern university to stabilize the situation.
Emotion Recognition via Sentiment and Critical Discourse Analysis in Catastrophic Contexts

The study of emotions in a human computing interaction context has gained special attention during the last years. Different AI-based tools have emerged in order to smartly analyze content -and particularly emotions- in social networks with marketing, financial, and/or political purposes. However, effective emotion recognition is still a hard task due to the presence of ironies, sarcasm, hybrid languages, and argot in most people comments. Additionally, the presence of such components may be larger when the comment is related to a controversial concern such as the current coronavirus vaccine or political corruption scandals. In this paper, we explore the combination of AI-based and linguistic techniques, namely sentiment analysis and critical discourse analysis, in order to effectively study the emotions on social networks. We take as case study a set of important corruption episodes occurred in Chile, which has internationally been observed as its corruption index has systematically been increased from 2012. During this period, different respected institutions and companies have been involved in important corruptions cases. This concern in conjunction to other social aspects triggered the Chilean social outbreak at the end of 2019, which added to the COVID-19 pandemic have generated a very complex scenario for the whole country. This complicated situation has of course turned people more sensible and overreactive, making the social networks a proper test bed worth to carefully analyze. We illustrate interesting where the proposed technique combination allows us to properly identify people having negative, positive or neutral connotations related to a given topic.
Detection of word boundary in Bengali colloquial speech based on pitch profile and Convolutional Neural Network

Word segmentation is a decisive part in any speech to text conversion. Works have been done on popular languages for word boundary, especially on English. But a very few work is conducted on Bengali language, especially on colloquial speech. In speech recognition word boundary detection is significant and crucial task. To understand and fixing the problems on efficiently detecting where the words are present in a signal is still challenging. In this paper, we extract the feature of the existence of words based on the pitch profile of a speech. We cluster the pitch profile and Silhouette index is used to select the words boundary with the help of Convolutional Neural Network (CNN)..
Syllable Neural Language Models for English Poem Generation

Automatic Poem Generation is an ambitious Natural Language Generation (NLG) problem. Indeed, models have to replicate the precise structure of poems, rhymes, meters, while producing creative and emotional verses. Furthermore, the lack of abundant poetic corpora, especially for ancient poetry, is a serious limitation for the development of strong poem generators. In this paper, we propose a syllable neural language model to the case of English language, focusing on the generation of verses with the style of a target author: William Wordsworth. To alleviate the problem of limited available data, we exploit transfer learning. Furthermore, we bias the generation of verses according to a combination of different scoring functions based on meter, style and gram-mar in order to select lines more compliant with the author’s characteristics. The results of both quantitative and human evaluations shows the effectiveness of our approach. In particular, human judges struggle to recognize real verses from the generated ones.
Content-based Recommender System for Detecting Complementary Products : Evaluating Siamese Neural Networks for Predicting Complementary Relationships among E-Commerce Products

As much as the diverse and rich offer on e-commerce websites helps the users find what they need at one market place, the online catalogs are sometimes too overwhelming. Recommender systems play an ...
Forming Students' Conscientious Attitude to Technical Translation Classes in a Globalized World

This paper examines the process of managing technologies in the orientation of the university students` personality forming in technical translation classes from the position of a system-based approach in the globalization context. Observations show that technical fields students use the choice of language for translation not with the aim of broadening their general horizons and raising their educational level, but with the intention of acquiring specific knowledge and competencies necessary in the present and future. Due to globalization and integration students migrate abroad. The educational system faces the challenge of increasing its competitiveness. Technical translation teachers need to: set clear, well-prepared tasks for students; to reveal the scientific basis of pedagogical principles and recommended methodological provisions; apply optimal loads in tasks; give short explanations before doing new exercises; use live speech; take into account the commonality of goals; create subgroups, targeted samples depending on the characteristics of students. Autonomous and distance learning are associated with the formation of their willingness and habits to work independently and actively, the ability to consciously evaluate their linguacultural experience and the ability to correct it, make their own independent decisions and take responsibility for the results of technical translation. The implementation of this principle provides the students` mastery of various strategies for working with the language, which are based on interdisciplinary subjects of the curriculum. Fulfilment of individual, differentiated by the level of complexity and subject matter tasks develops the skills of autonomous work, the ability to work with reference literature, individually formulate and transmit the information received to others, develops thinking and creativity
LibGuides: Business Management: Help?

This Libguide is designed to share resources that can be used by School of Economics and Management Sciences students.
Study of Mobile Application Development using MVC Framework

Mobile Application should be secure, portable, cost-effective and be of good quality. The architecture choice is very important to ensure the quality of the application over time and to reduce development time. Model-View-Controller (MVC) is a very useful for developing Application. It has become the most powerful and leading Programming Architecture for developing a large scale of Application. MVC Developers can trust on the framework that is widely accepted as solutions for recurring problems and used to develop flexible, reusable and modular Application. In this study we investigate the advantage of using MVC Framework when building Mobile Application available on difference devices. In this study compares and contrasts two platforms, iOS and Android Devices, and discusses how to apply the MVC Framework in order to minimize the inherent differences between the platforms.
Hierarchical Few-Shot Imitation with Skill Transition Models

A desirable property of autonomous agents is the ability to both solve long-horizon problems and generalize to unseen tasks. Recent advances in data-driven skill learning have shown that extracting behavioral priors from offline data can enable agents to solve challenging long-horizon tasks with reinforcement learning. However, generalization to tasks unseen during behavioral prior training remains an outstanding challenge. To this end, we present Few-shot Imitation with Skill Transition Models (FIST), an algorithm that extracts skills from offline data and utilizes them to generalize to unseen tasks given a few downstream demonstrations. FIST learns an inverse skill dynamics model, a distance function, and utilizes a semi-parametric approach for imitation. We show that FIST is capable of generalizing to new tasks and substantially outperforms prior baselines in navigation experiments requiring traversing unseen parts of a large maze and 7-DoF robotic arm experiments requiring manipulating previously unseen objects in a kitchen.
Felician University Libraries: Company & Industry Research: Industry Profiles

This guide is intended to help students conduct research on specific companies and/or industries.
Implications for Korean Education Based on the Analysis of Academic Curriculums in Canada

In the case of Korea, the reason why the public is very interested in the education system related to the university entrance exam is that the university entrance exam is evaluated as a big factor influencing life, such as those who graduated from prestigious universities occupying a superior position in society in terms of employment. On the other hand, in Canada, the university entrance policy is not discussed in the public debate. This is because the goal of Canadian school education is to strengthen students’ competencies and vocational training for social advancement. Therefore, in this study, the characteristics of Canada’s education system and university entrance examination were examined, and through this study, the implications for the improvement of our university entrance examination system were investigated. This study emphasizes the universality of Korea’s university education as in the case of Canada at a national quality level.
Hardware-free collision detection and braking for securing drone propellers

Purpose The widespread use of drones among the general public has led to an alarming increase in accidents, some with lethal consequences. As drone blades are made from rigid materials and rotate at very high speeds, their impact with a human body can result in fatal injuries. Reliable collision detection combined with near-instantaneous braking of the drone’s rotor(s) can substantially lessen the severity of injuries sustained. The purpose of this paper is to achieve a safety solution which can be easily integrated into new products, or retrofitted into existing systems. Design/methodology/approach Through a proof of concept, this paper demonstrates the possibility of detecting a collision with a drone propeller absent any hardware modifications to the drone’s instrumentation. The solution relies on current-sensor readings, ordinarily used for monitoring the battery status of electrically actuated drones. The braking is achieved purely by reconfiguring the motor’s control strategy, without the need for additional hardware, as has been the case in previous works. Findings This paper demonstrates the possibility of detecting a collision with a drone propeller absent any hardware modifications to the drone’s instrumentation. Originality/value Compared to previous works which require installing additional hardware, the solution is purely software. This makes it very easy to integrate into existing systems or new products, at no additional cost. In experiments conducted on a prototype system, the solution was shown capable of detecting a collision and braking the motor in fewer than 20 ms. This allowed attenuating centimetre-deep cuts made to a piece of meat by an unprotected rotor to mere superficial scratches.
COMPETENCE DEVELOPMENT FOR THE EDUCATIONAL INTEGRATION OF DIGITAL RESOURCES

In previous research work [1] where we studied the conceptions of teacher training defended in six references of digital competences for teachers, we recognized that the integration of digital technologies in the context of learning has been attempted since the last decades of the twentieth century.In fact, the central axis of the references was based on the development of digital skills for pedagogical integration.Moreover, we also know that the innovative potential of digital technologies can have a relevant role in transforming and enriching pedagogy and we are also aware that considerable effort in teacher training/education has been centred on the pedagogical exploitation of ICT in learning contexts.Aiming to ensure innovation in pedagogical practices, concerns with continuous transformation of technology-based learning seem necessary.In addition, research also points to the need to improve conditions for teacher educators' development with digital technology and professional digital competence [2].In this context, the digital skills of teachers play a fundamental role in the students' learning process, but also in the development of skills related to critical thinking, innovation, collaboration, problem solving and others that are emerging, related to a society increasingly supported by artificial intelligence applications and services [3].Training and professional development is something that must be continuously monitored in order to be able to react with the urgency necessary to fill any gap that may condition the preparation of students for the digital society.That bearing in mind, we designed a survey with the following objectives: (i) to verify and analyse the digital skills of Basic Education teachers in Portugal (1st to 3rd Cycles); (ii) to categorize the levels of teachers' digital competence; (iii) to assess the level of influence of digital competence in innovative learning practices in educational contexts.The survey was finished by 242 teachers who completed an online questionnaire asking for an individual self-evaluation of DigCompEdu [4] area 2 (digital resources) competencies: (i) selection; (ii) creation and modification; (iii) management, protection and sharing of ICT.Subjects were asked about their level of experience in the daily and professional use of ICT.As a first study that will serve as a basis for other more extensive studies in order to regularly monitor the evolution of Basic Education teachers' pedagogical integration skills with ICT, provisional findings show that teachers seem to feel able to: (i) use advanced strategies and resources comprehensively; (ii) adapt digital resources to the learning context; (iii) use interactive resources strategically.In this paper, we aim to fully present the collected data as well as to share the analysis we will be conducting, bearing in mind that teachers who participated in the survey have shown high awareness of the importance of their continuous professional development.
Estimasi Analisis Hidrologi Pada Sistem Jaringan Irigasi Daerah Sajau Hilir Ujung Kecamatan Tanjung Palas Timur Kabupaten Bulungan

The village of Sajau Hilir is one of the districts in Bulungan that has potential in the development of irrigation areas, most of the people in Sajau Hilir Villlage have a livelihood as farmers with an area of irrigation Sajau Hilir are of 68.4 Ha. Irrigation area downstream sajau have some problems that is irrigation system that still use simple irrigation system and water drainage system that less maximal. In this research conducted several stages in the form of collecting primary and secondary data. Primary data in the form of documentation in the research area. While for secondary data include data from related institutions such as data evaporation, air humidity, wind speed, air temperature, solar radiation, topographic maps, as well as conducting literature study derived from irrigation books and journals.From the results of water availability analysis in this study, it is known that the availability of water in some inflow obtained the largest mainstay discharge in February and the smallest discharge occurred in July, while the largest water needs analysis in February was 12,327 ltr/sec/ha and the smallest water requirement occurred in August at 10,986 ltr/sec/ha.In the balance balance of the analysis it is known that the availability of water in 2 (Two) DAS with the potential area of irrigation area of 68.4 ha. Based on the calculation of balance sheet, it is sufficient so that the water supply continuously.
MENGANALISIS KELEBIHAN DAN KEKURANGAN MODEL DISCOVERY LEARNING BERBASIS AUDIOVISUAL DALAM PELAJARAN BAHASA INDONESIA

The purpose of conducting this study is to analyze the advantages and disadvantages of Discovery Learning Model basis Audiovisual in Bahasa Indonesia lesson.  The method used in this study is descriptive qualitative research with Library research approach.  The data are collected from textbook, journal article and these, also Basic Competence of Bahasa Indonesia 7th grade 1st semester. The technique of data analysis involves reduction data, display  anddata verification. The result of this study showed that the implementation of discovery learning model can improve students’ motivation, stimulate students in learning and the students’ centered learning. It is more appropriate implemented in basic of competence with keyword inquiry and summary with skill of reading and learning. Its disadvantages are time consuming and the students in the class have not the same ability in receiving the information from audiovisual.
A DESCRIPTIVE OF STUDENTS CRITICAL READING SKILLS IN NARRATIVE TEXTS

The objective of this study is to know whether the response student and Finding strategies in teaching reading especially critical reading skills in narrative texts. The research problem is how students respond and what strategies are used by students to critical reading skills in narrative texts. The qualitative approach was applied in this study with a case study as the research design using sheet observation and guided free interview as instrument research. In this research, subject observation consists of 17 students and the subject interview consists of 5 students that have been choosy from the result observation was given. Based on the results of the observation and interview, the researcher could conclude that student respond and strategy was using student in study critical reading skills in the narrative text was good. This result indicates that the narrative text was effective to increase understanding reading skills students in predicting, synthesizing, and evaluating a text. Through the checklist observation, the student knows and understands critical reading in narrative text, but they still lack in using critical reading to found a message in the story. Besides that, the interview found that students knew strategy in critical reading like predicting, questioning, clarifying, and summarizing narrative text. It can be concluded that students could easier to understand the content and purpose of narrative text. As a result, it can help students in learning to critical reading in the text narrative that their knowledge skills read can increase.