Reviewerly/exHarmony huggingface dataset:
CMC training corpus Janes-Tag 2.1

Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word normalisation, morphosyntactic tagging, lemmatisation and named entity annotation of non-standard Slovene. As the corpus has been carefully manually annotated, it is also suitable for detailed linguistic explorations which require highly accurate and reliable annotations. As an update to version 2.0, this version corrects some minor errors in NER annotation and introduces, in addition to MULTEXT-East morphosyntactic descriptions, also Universal Dependencies morphological features and the corpus in CoNLL-U format. The UD features are also included in the vert file.The first version of this corpus is described in:ERJAVEC, Tomaž, CIBEJ, Jaka, ARHAR HOLDT, Spela, LJUBESIC, Nikola, FISER, Darja. 2016. Gold-standard datasets for annotation of Slovene computer-mediated communication. In Proceedings of RASLAN 2016: Recent Advances in Slavonic Natural Language Processing. Brno: Tribun EU, 2016, pp. 29-40, https://nlp.fi.muni.cz/raslan/raslan16.pdfFISER, Darja, LJUBESIC, Nikola, ERJAVEC, Tomaž. 2018. The Janes project: language resources and tools for Slovene user generated content. Language Resources & Evaluation. https://rdcu.be/7RX4 Note that a related corpus, Janes-Norm is also available, cf. http://hdl.handle.net/11356/1084.
The Effects of SDGs-based Convergence Education Program on Core Competence of Elementary School Students

본 연구는 초등학생들을 대상으로 지속가능발전목표(SDGs)에 연계된 지속가능발전교육(ESD) 내용을 주제로 한 융복합교육 프로그램 수업을 적용하여 2015 개정 교육과정에 제시된 6개 핵심역량 신장에 미치는 영향을 알아보는 것에 그 목적이 있다. 이를 위해 ESD와 역량, 융복합교육 개념을 관통하는 맥락성에 기반하여, 기 개발된 SDGs-ESD 콘텐츠맵을 바탕으로 2015 개정 교육과정을 분석한 뒤 적합한 주제를 선정하였다. 융복합교육 프로그램은 ABCD 원리를 적용하여 ADDIE 모형의 절차에 따라 개발하였으며, 총 20차시 분량의 2개 프로그램으로 전문가 집단의 타당도 검증을 받아 5학년 학생들에게 적용하였다. 연구 결과에 따르면, SDGs 기반 융복합교육 프로그램의 적용은 초등학생들의 핵심역량 향상에 기여하는 것으로 분석되었다. 특히, 2015 개정 교육과정 중 지식정보처리 역량, 창의적 사고 역량, 심미적 감성 역량이 프로그램 적용 후 유의미하게 향상되었다. 비교집단의 핵심역량 전체 평균도 약간 향상되었으나 통계적으로 유의미하지는 않았다. 마지막으로 학생 인터뷰 결과를 통해 실험집단 학습자들은 대체로 융복합교육 프로그램을 긍정적으로 생각하고 있으며, 융복합교육 프로그램이 핵심역량 신장에 기여할 뿐 아니라, 학습자의 참여를 끌어내는 데도 도움이 됨을 짐작할 수 있었다. 이에 융복합교육 실행 확대를 위한 후속 연구가 적극 요구된다.The purpose of this study is to find out the impact on the six core competences presented in the revised 2015 curriculum by applying the Convergence education about ESD (Sustainable Development Education) subject to the Sustainable Development Goals (SDGs) for elementary school students. To this end, based on the contextuality that penetrates the concept of ESD, competence and convergence education, the 2015 revised curriculum was analyzed based on the SDGs-ESD content map developed previously, and the appropriate topics were selected. The convergence education program was developed according to the ADDIE model procedure by applying the ABCD principle. The program was applied to 5th grade students after the validity of the expert group was verified with two programs of 20 lessons. According to the research results, the application of SDGs-based convergence education program contributes to the improvement of core competencies of elementary school students. In particular, among the core competences of2015 revised curriculum, knowledge information processing, creative thinking, and aesthetic sensitivity were significantly improved after application of the program. In addition, according to the average improvement the average change of the core competencies of the comparative group, it was found that the 2015 revised curriculum was a competency-based curriculum. Finally, the results of the student interviews showed that the experimental group learners generally considered the convergence education program positively, and that the convergence education program not only contributed to the enhancement of core competencies, but also helped to induce the participation of the learners. Therefore, further research is needed to expand the implementation of convergence education.
Information users’ preference on the use of print and Electronic Resources in Selected Universities in Tanzania: A Survey

This paper is based on a study that examined information users’ preference on use of print and electronic resources in selected universities in Tanzania. A survey method was used as the research design to facilitate the collection of data from the three sampled universities in Tanzania, namely the University of Dar es Salaam (UDSM), the Open University of Tanzania (OUT) and Tumaini University-Dar es Salaam College (TUDARco). Purposive sampling technique was used to select respondents, comprising undergraduate and post-graduate students, academic and research staff. Empirical data for the study were collected using a questionnaire survey and interview guide. Out of 350 administered questionnaires, 327 were successfully completed and used for the study, yielding a 93.4 Percent return rate. The study found out that print resources are more preferred than electronic ones. These findings are not in congruency with the popular assumption that the ready availability of online resources has supplanted print resources. However, one significant finding in this study is that e-resources popularity has started to gain ground across the three universities under review. The respondents suggested fostering the use of both print and electronic resources in universities, for wider access of knowledge, particularly in the resource-limited contexts prevailing in Tanzania. Based on the findings, the study concluded that a hybrid collection is the panacea to optimising resources as it provides users with more access choices between the two formats.
Essence and the stages of the primary school teachers' preparation for the work in the conditions of inclusive education

This article addresses the problem of continuous primary school teachers' preparation for the work in conditions of inclusive education. A review of scientific research was conducted and the essence of the concept «continuous primary school teachers' preparation for the work in the conditions of the inclusive education“ was clarified. The stages of continuous primary school teachers' preparation to the work in the conditions of inclusive education was highlighted. They are: primaryprofessional, system-professional and acme-professional. The main problems of continuous primary school teachers preparation to the work in the conditions of inclusive education, that needs theoretical substantiation and solving was defined. Targets of the continuous primary school teachers' preparation for the work in the inclusive education conditions was proposed.
LibGuides: Guide to Staying Home: At Home with Kids

This guide includes resources provided or recommended by the Kraemer Family Library for making the most of UCCS's remote learning period.
New Methodologies for Fashion Recommender Systems

Traditional Recommender Systems rely on finding similarities between users and/or between items. In its broadest definition, a Recommender System tries to predict the preference a user would give t ...
Wearable Pedobarography System for Monitoring of Walk Related Parameters

Health care costs have increased over the last decades due to an ageing population. Therefore, research in personal health monitoring (PHM) has increased in response to this. PHM has advantages suc ...
Library Guides: Virtual Reality Multimedia Production: AR/VR Hardware

Research guide for the AR/VR Graduate Certificate program at Mohawk College. Hardware technology used in AR/VR
Projection/interactive surface opportunities in smart vehicles

Future smart and autonomous vehicles offer opportunities to improve the comfort of drivers and passengers during their journey. Entertainment activities or video conferencing within vehicles require high quality projection surfaces. Vehicle interior surfaces are expected to undergo a revolutionary change to meet the needs of future consumers. Use of technologies such as a 5G network, machine learning and cloud communication create the opportunity to personalize the vehicle experience. Driving information, advertisements, and information on-demand can be displayed as needed on projection surfaces for improved communication and convenience. Interactive surfaces will improve the customer experience by allowing the vehicle occupant to easily control and give commands within the vehicle. Vehicles will also sense the customer and automatically react to specific needs. In this paper, we will discuss technology trends and our evaluation of opportunities and limitations.
Subject Guides: Open Research: a Practical Guide: Home

This Practical Guide provides helpful support and links to recommended external resources for a range of open research practices.
APCS for NPP on the basis of home-grown technologies

Abstract The report summarizes the history of the development of domestic APCS, including the Soviet period. It is noted that the USSR-located NPPs were equipped only with automatic process control systems (APCS) of domestic production. In the 90s Russia undertook gradual transition to development of software and hardware tools using imported hardware components almost completely. In addition, various systems and software and hardware facilities, which were developed in the course of revision of the documentation received under license contracts, became widely used in the NPPs of WWER type. In the area of RBMK modernization, the strategy was adopted aimed at on development and implementation of domestic hardware and software tools in the systems important to safety. The author states that recently a policy has been adopted in the industry focused on intensive development of the domestic hardware and software tools and systems for the NPP APCS.
The New Age of Democracy—Voting System

Elections are one of the biggest events to take place in any democratic country. In India, which has a population of 1.2 Billion, elections are especially important as it selects the leader of about one-sevenths of the World’s Population. The usual method of voting is through the use of Electronic Voting Machines (EVM). In this modern era, where technology is being used in every sphere of life, considering the fact that Voting is one of the fundamental rights of every citizen of a democratic country, technology should be used to stop any unfair means being used in the elections. The objective of this project is to develop a system which will be suitable for elections in countries like India. In this project we use Arduino and Finger Print Scanner which will identify its voters and prevent digital malpractices. We also propose a mobile application which will enable the voters to cast their vote from anyplace they want. The proposed system is more digital, technology-based and secure.
The Biomedical Research in Italy and the role of BIBLIOSAN

BIBLIOSAN is a system funded in 2003 by the Italian Ministry of Health and whose aim is to achieve a cooperative network amongst more than 60 libraries of the Italian biomedical research institutes and hospitals. The paper aims to provide an overview of the most relevant issues faced during the past 15 years, on the ways to deal with them and on the adopted solutions. The network is now able to assure a shared catalogue of the collections owned by each partner, a tested and efficient system for the exchange and delivery of documents and articles, the organization of a relevant number of e-learning and on-site training courses for users and librarians and overall to guarantee the subscriptions to about 10,000 e-journals published by all the most important scientific publishers such as Elsevier, Wiley, Nature publishing Group, etc. A rapid glance to the possible future evolutions and improvements of the system will be also provided.
COHESION IN KECIL-KECIL PUNYA KARYA

Children need to create cohesion in their writings since it is an important aspect of good writing. Thus, this study aims to analyze cohesion in children’s writing in terms of the use of cohesive devices. Using Halliday and Hasan’s (1976) theory of cohesion, this study analyzes the type of cohesive devices used in stories written by children and describe the function of the cohesive devices. The data were collected from three stories written by three different children in a book titled ‘Rahasia Cempaka’. It is a collection of short stories included in Kecil-Kecil Punya Karya project published by Mizan. The three stories are ‘Sejuta Maaf Tebusan Perjanjian’, ‘Isi Hati Seorang Siswa’, and ‘Solusi Terbaik untuk Anak Paling Baik’. In terms of the type of cohesive devices used, there are four out five types of cohesive devices found in the stories. The types of cohesive devices used are reference, conjunction, substitution, and ellipsis. Personal Reference came out as the most dominant cohesive devices used by children in their writings with 52.73%, while nominal subtitutions came out as the least with 0.15% occurrences. In addition, in terms of its function, the cohesive devices found in the stories show that children use the cohesive devices in accordance with their functions to create a cohesive and a comprehensible text. It may indicate the children have good writing abilities and have awareness regarding creating cohesive text.Keywords: children’s writing, cohesion, cohesive devices
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes

The canonical solution methodology for finite constrained Markov decision processes (CMDPs), where the objective is to maximize the expected infinite-horizon discounted rewards subject to the expected infinite-horizon discounted costs’ constraints, is based on convex linear programming (LP). In this brief, we first prove that the optimization objective in the dual linear program of a finite CMDP is a piecewise linear convex (PWLC) function with respect to the Lagrange penalty multipliers. Next, we propose a novel, provably optimal, two-level gradient-aware search (GAS) algorithm which exploits the PWLC structure to find the optimal state-value function and Lagrange penalty multipliers of a finite CMDP. The proposed algorithm is applied in two stochastic control problems with constraints for performance comparison with binary search (BS), Lagrangian primal–dual optimization (PDO), and LP. Compared with the benchmark algorithms, it is shown that the proposed GAS algorithm converges to the optimal solution quickly without any hyperparameter tuning. In addition, the convergence speed of the proposed algorithm is not sensitive to the initialization of the Lagrange multipliers.
A $\lambda$-model with $\infty$-groupoid structure based on Scotts $\lambda$-model $D_\infty$

The lambda calculus is a universal programming language that represents the functions computable from the point of view of the functions as a rule, that allow the evaluation of a function on any other function. This language can be seen as a theory, with certain pre-established axioms and inference rules, which can be represented by models. Dana Scott proposed the first non-trivial model of the extensional lambda calculus, known as $D_\infty$ , in order to represent the $\lambda$-terms as the typical functions of set theory, where it is not allowed to evaluate a function about itself. Here we propose a construction of a $\infty$-groupoid from any lambda model endowed with a topology, with the purpose of projecting $D_\infty$, with the Scott topology, to an extensional lambda model with an $\infty$-groupoid structure under a composition operation between cells.
LibGuides: University Library Updates: COVID-19 Resources

This guide will help you to use the library resources and services during temporarily limited operations. Please feel free to contact a librarian with any questions.
Analysis Framework for Smart Technology Capability in Logistics Industry

In the fourth industrial revolution, logistics environment has rapidly changed with continuous new technology development and business method to efficiently secure competitive advantage in intense competition of a global market environment. Logistics industry has consistently built its smart technology environment appropriate for efficiently managing and improving its logistics fields. The smart technology for logistics industry is critical to efficiently execute distribution activities and to effectively raise its performances in a smart technology environment. The smart technology capability of logistics industry is a crucial medium to achieve the efficient logistics activities and successful logistics performances in a global logistics market. It has to be synthetically managed and improved to advance the logistics business environment and strengthen its competitiveness. Hence, this study presents an overall and objective analysis framework to reasonably manage and upgrade the smart technology capability that can properly support its logistics fields in a smart technology environment. This research confirms the developed analysis framework by reliability analysis and factor analysis based on previous studies. The 16-item analysis framework verified in terms of reliability and validity can efficiently analyze a smart technology capability for logistics industry in a total smart technology perspective.
MyToutatice - Application Notes

Video presentant : l'installation de l'application Notes la creation de Notes (via l'application et via le drive) le partage d'une note
An Improved Cuckoo Search Algorithm for Design Optimization of Structural Engineering Problems

This paper proposes an adaptive cuckoo search algorithm (ACSA) for optimization of structural engineering problems. ACSA – an improved cuckoo search algorithm, utilizes an adaptive step size selection strategy its diversification process. This approach improves the convergence characteristic while preserves the balance between intensification and diversification performances in the CSA simultaneously. The effectiveness of the ACSA in solving structural optimization problems is demonstrated through nine structural engineering problems. Performance assessment shows that the ACSA outperforms the standard CSA and other methods available in the literature in most of the case studies.
Energy-Aware Virtual Data Center Embedding

As one of the most significant challenges in the virtual data center, the virtual data center embedding has attracted extensive attention from researchers. The existing research works mainly focus on how to design algorithms to increase operating revenue. However, they ignore the energy consumption issue of the physical data center in virtual data center embedding. In this paper, we focus on studying the energy-aware virtual data center embedding problem. Specifically, we first propose an energy consumption model. It includes the energy consumption models of the virtual machine node and the virtual switch node, aiming to quantitatively measure the energy consumption in virtual data center embedding. Based on such a model, we propose two algorithms regarding virtual data center embedding: one is heuristic, and the other is based on particle swarm optimization. The second algorithm provides a better solution to virtual data center embedding by leveraging the evolution process of particle swarm optimization. Finally, experiment results show that our proposed algorithms can effectively save energy while guaranteeing the embedding success rate.
Scale-adaptive vehicle tracking based on background information

To solve the problem of low accuracy and poor robustness of vehicle tracking in complex traffic scenes, scale-adaptive vehicle tracking based on background information is therefore proposed to this paper. The traditional correlation filter tracking algorithm is less dependent on background information. This easily leads to tracking error. We propose to use the background information of the vehicle and the surrounding as a sample set to establish a position classifier. It transforms the target tracking problem into the classification of the target and the background. This also improves the position accuracy of the tracking target response point when the background is complex. The dimensions of the vehicle change as the relative distance between the vehicle and the camera changes, affecting the tracking reliability. This algorithm crops Histogram of Oriented Gradient (HOG) features of the different-scale vehicle images and establishes a scale classifier. It determines the best scale of the target built on the output response peak of the scale classifier. This improves the adaptability of classifier against vehicle scale change. Extensive experimental results demonstrate that the method improves the accuracy and robustness of vehicle tracking significantly.
Teaching Speaking to Young Learners Using Role Play Method

The aims of this study are: (1) to describe the use of the Role Play method in teaching speaking English for the fifth graders of MIN Poso, and (2) to determine whether the Role Play method is effective or not for the fifth graders of MIN Poso. The researcher uses descriptive method to explain the result of teaching learning process by using Role Play Method. Data are collected from observation of teaching and learning processes and documentation, and analyzed by using the theory of Landouse, Susan House, and Adam and Bidle. The results of this study are (1) English teachers in MIN Poso use four steps in teaching English speaking through Role Play method. (2) Role Play method is effectively used in teaching the fifth graders of MIN Poso to speak English because more students are active and it can increase students’ interest to speak English language. Keywords: English to young learners, speaking, role play method
A Case Study on Flipped Learning in a University Tourism Discussion Class

Higher education institutions are under greater pressure to identify a new pedagogy that can promote students' motivation and achievement in learning. Flipped learning (FL) classrooms have been considered to be an effective alternative to traditional lecture-style classes. Students in FL classroom re expected to engage in three steps: watching pre-class lectures (i.e., online lectures), participating in in-class activities (i.e., discussions), and completing post-class assignments that are aimed to promote active learning and the in-depth understanding of the class materials. This study evaluated the effects of FL in the context of tourism education in which student-centered group discussions comprised the in-class activities. The research applied Keller’s (1987) Attention, Relevance, Confidence, and Satisfaction (ARCS) model to investigate whether FL classrooms motivate students’ active learning and class participation. Eighteen students who completed the FL-style tourism class were invited to participate in semi-structured interviews. The transcribed data were analyzed using content analysis to identify the key motivators of each of ARCS model components. Related to each ARCS components, the most frequently mentioned categories were sharing opinion/group learning, the usefulness of sustainable development goals, speech skills, and the connection between pre- and in-class activities, respectively. The final part of the paper provides recommendations for FL use in tourism education and the limitations of the study.