Reviewerly/exHarmony huggingface dataset:
Digital Media Lab: Crafting Spaces to Support Innovation

As technology permeates learning and instruction, academic libraries have an opportunity to reimagine services to meet the needs of their communities in novel and meaningful ways. In this session, you will learn how our library conceived and implemented a digital media lab after determining that our campus lacked spaces and support for students and faculty to create digital content outside of the classroom setting. The digital media lab is supported by a dedicated staff member, open to the entire campus community, and situated around sound-isolating booths designed for recording and editing. The service model encourages our community to become comfortable learning new technologies, to master the use of communication tools, and to be proficient communicators in an interconnected world. In this session we will discuss the development of the space and its service model, the myriad possibilities for utilizing the equipment, and our work with campus partners in the planning and implementation phases of this project.
Solving Sokoban with backward reinforcement learning

In some puzzles, the strategy we need to use near the goal can be quitedifferent from the strategy that is effective earlier on, e.g. due to a smallerbranching factor near the exit state in a maze. A common approach in thesecases is to apply both a forward and a backward search, and to try and alignthe two. In this work we propose an approach that takes this idea a step forward,within a reinforcement learning (RL) framework. Training a traditionalforward-looking agent using RL can be difficult because rewards are oftensparse, e.g. given only at the goal. Instead, we first train a backward-lookingagent with a simple relaxed goal. We then augment the state representation ofthe puzzle with straightforward hint features that are extracted from thebehavior of that agent. Finally, we train a forward looking agent with thisinformed augmented state. We demonstrate that this simple access to partial backward plans leads to asubstantial performance boost. On the challenging domain of the Sokoban puzzle,our RL approach substantially surpasses the best learned solvers thatgeneralize over levels, and is competitive with SOTA performance of the besthighly-crafted solution. Impressively, we achieve these results while learningfrom only a small number of practice levels and using simple RL techniques.
Engineering Approach and Framework for HCI Research

The chapter presents the specific engineering approach to HCI research, including an illustration from the literature. The latter advances contrasting views of engineering as the servant of design, which identifies user needs outside its process and as HCI comprising iterative software development life cycles. The chapter then presents the specific engineering framework for HCI research comprising engineering as discipline, general problem, particular scope, research, knowledge and practices. The specific engineering framework is followed by the engineering design research exemplar as the engineering design cycle and the engineering design research cycle. The lower-level engineering framework comprises the engineering application, the engineering interactive system, and the engineering interactive system performance. Both the exemplar and the lower-level framework are applied to the same illustration of the engineering approach taken from the literature, which contrasts engineering as the servant of design and as HCI comprising iterative software development life cycles.
THE INFLUENCE OF USING DIRECTED READING ACTIVITY (DRA) STRATEGY TOWARDS STUDENTS’ READING ABILITY AT THE ELEVENTH CLASS OF SMA GAJAH MADA BANDAR LAMPUNG IN 2018/2019

The research was aimed to improve students’ reading ability by using Direct Reading Activity (DRA) Strategy. Directed reading activity (DRA) strategy is a reading ability teaching strategy to improve student reading ability by developing background knowledge, specific purposes mind set to reading, discussing and ability development after reading. The objective of the research was to know the influence of directed reading activity (DRA) strategy towards students’ reading ability.                In this research, the writer used experimental and control class. The sample of the research was 64 from 216 students, the writer as researcher used two classes, class XI IPA 2  as experimental class and the class XI IPA 3 as a control class. The first class as experimental class which used Directed Reading Activity (DRA) strategy, and the second class as control class which used conventional technique. In taking the sample, the writer used cluster random sampling. In collecting the data, the writer used reading test. Based on the data analysis, the writer formulated ttes obtained t hit = 6.98 and table distribution t in taraf significant 5% known tdaf is t (1-1/2α) = 2,00 so that proven t hit>t daf. It means that there was positive influence of using directed reading activity (DRA) strategy towards students’ reading ability at the eleventh class of SMA Gajah Mada  Bandar Lampung In 2018/2019.
How to teach students to independent, creative thinking through practical activities

This article is about ways of teaching students to self - study, creative thinking through organizing practical lesson with innovative technologies at higher educational organization. This article describes the problem of increasing the self - activate of the assimilation of knowledge independent thinking by organizing self - education in higher educational institutions.
User Preference Model of Pollution Source Information Recommendation

In recent decades, the contradiction of pollution and the inherent characteristics of pollution sources which plagues environmental protection institutions and individuals in that—from a large number of pollution source information to find their own concern of the information, and which is often not an easy thing. The user preference model is the main tool to solve this. By establishing the model of user preferences, UFTB algorithm is used to analyze the type of pollution source information and scoring data that users have seen. In establishing the recommendation model for analyzing pollution source information, the modified cosine similarity is calculated by using the co-filter algorithm, and the default value is predicted to optimize the algorithm. In order to prevent over-optimization, we should take the information of eliminating the user’s non-preferred type of pollution source, get the optimization default prediction matrix, bring the similarity data into the recommended formula to get the value and use the sort, find the N user with the highest similarity to the target user, and recommend the target user the pollution source information according to their preferences. Besides, in practice, one can design a combination recommendation system based on a variety of recommended methods.
LibGuides: At Home With Kids!: Math Minds!

Home Sick? On a School Break? A Homeschool Family? Check out these kid-approved resources! Explore Mathematics Fun!
The Anatomy of Cyber Risk

We construct novel text-based measures of firm-level cyber risk exposure based on quarterly earnings calls of 12,000+ firms from 85 countries over 20+ years. We categorize each cyber-related discussion into topics that capture sentiment, monetary loss, country names, etc. We document new facts on the worldwide rise of cyber risk and its industrial and geographical composition. We characterize most affected firms and show that our indices can predict future cyberattacks. Cyber risk exposure has significant direct and contagion effects on stock returns. Finally, there is a factor structure in our firm-level measures and shocks to the common factor are priced.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021

This paper describes the system of our team (NHK) for the WAT 2021 Japanese↔English restricted machine translation task.In this task, the aim is to improve quality while maintaining consistent terminology for scientific paper translation.This task has a unique feature, where some words in a target sentence are given in addition to a source sentence.In this paper, we use a lexically-constrained neural machine translation (NMT), which concatenates the source sentence and constrained words with a special token to input them into the encoder of NMT.The key to the successful lexically-constrained NMT is the way to extract constraints from a target sentence of training data.We propose two extraction methods: proper-noun constraint and mistranslated-word constraint.These two methods consider the importance of words and fallibility of NMT, respectively.The evaluation results demonstrate the effectiveness of our lexical-constraint method.
한국어 문법 교수-학습 내용으로서의 화용 정보의 개념과 유형 연구

The purpose of this study is to redefine the concept of pragmatic information and categorize the types of pragmatic information. The main contents of grammatical items in Korean language teaching-learning have been centered on forms and meanings that are easy to set categories and types. As a result, learners may experience pragmatic failure because they do not know information about the actual use of grammatical items. Therefore, when providing grammatical items to learners, a multidimensional approach is needed that provides a balance of morphological, semantic, and pragmatic information. To this end, this study first redefines pragmatic information for Korean grammar education as ‘knowledge related to the use of grammatical items necessary for Korean learners to properly express in Korean’. Also, pragmatic information was classified into three types related to the discourse context of ‘discourse participant, discourse situation, discourse function’ and three types related to the grammar use of ‘similar grammar, abbreviation dropout omission, and the use effect’. In addition, this study analyzes the pragmatic information presented in the current Korean language education materials. (Pusan National University)
LibGuides: Maker Kits: Wacom Drawing Tablets

Maker Kits are part of the loanable equipment available at the OSU Valley Library. These kits can be used to invent, create, and develop new skils.
LibGuides: Education: Library Resources

This guide provides students a starting point for research into topics related to education at its various levels.
Suluk Pesisiran dalam arsitektur Masjid Agung Sang Cipta Rasa Cirebon, Indonesia

The purpose of this paper is to analyze suluk on the architecture of Sang Cipta Rasa Great Mosque, Cirebon. The research is qualitative non-hypothetical through four stages of the historical method with multidisciplinary approach. The result of this research is that Wali Songo are brilliant in packaging Islamic teachings about the path to inner perfection in finding the authenticity of life leading to His goodness. Islamic teaching is not only preached through classical Javanese literary works (macapat, song) or performing arts (wayang, barong, topeng, and ronggeng), but also through mosque architecture. The conclusion of this research is that there is the beauty of coastal suluk teaching in a number of architectures element of Sang Cipta Rasa Grand Mosque. This study recommends further research on a number of other archaeological relics, either in Cirebon or along the North coast of Java that have a history of spreading Islam.
Open Source Photonics Simulation for Quantum Applications

In this talk, I will describe a number of open source photonic simulation packages developed in our group for modeling large scale classical and quantum photonic circuits. These include Simphony, a high speed photonic circuit simulator; SiPANN, a photonic simulation package based on neural networks; and EMEPy, an eigenmode expansion package. Direct integration with quantum photonic circuit solvers, such as Strawberry Fields, allows for quantum photonic circuit simulation that is hardware-aware and device-specific.
Teachers' Attitudes toward the Usage of Mobile Devices in EFL Classroom

Nowadays, technology is developing in a geometrically progressive manner. Its usage in different social areas is an imperative, rather than a choice. As expected, digital devices are applicable in the educational context, as well. Hence, the scope of the present study is to examine attitudes toward mobile learning among English teachers. For this purpose, we conducted a survey with 159 teachers from both state and private schools as well as universities in Turkey. In general, our results showed that teachers have positive attitudes toward the usage of mobile devices in the ESL learning context. However, there is an almost equal number of teachers who use and who do not use mobile devices and other digital contents in their classrooms. In addition, and according to teachers, there were two main obstacles to using mobile devices in teaching processes – lack of training and students' attitudes. On the other hand, the lowest ranked obstacles were school administrations and pedagogical justification.
Robust online planning with imperfect models

Environment models are not always known a priori, and approximating stochastic transition dynamics may introduce errors, especially if only a small amount of data is available and/or model misspecification is a concern. This work introduces a robust decision-time planning method in order to cope with such imprecise models. The objective of robust planning is to find a policy with the best guaranteed performance, which we approach by transferring a two-stage minimization-maximization optimization procedure taken from the field of robust control to online planning. We assume a Markov Decision Process underlying the environment and aim for the best worst-case performance within specific model error bounds. To compute solutions, we introduce a family of locally robust decision-time planning algorithms, specifically robust Monte Carlo Tree Search (rMCTS). Robust MCTS methods are then evaluated empirically with model error bounded by Wasserstein distance, for which we find the resulting robust policies to yield safer and more uncertainty-aware behavior than their non-robust counterparts. Adaptability in model error bounds and corresponding model minimisers makesrobust MCTS extensible for a variety of online planning settings.
The Big Data Usability’s Trends in Education: A Systematic Literature Review

Technology innovation nowadays makes life easier than previous decades. In Education sector, technology has been used to enhance the learning experience such as Learning Management Systems, e-Learning, etc. Another innovation in database is Big Data. This paper uses Systematic Literature Review (SLR) to find the trends of usability of Big Data in education sector. The research found that there are mostly 2 types of trends of Big Data usability in Education they are Conceptual Trends and Research Trends. Conceptual Trends affects Functional Area such as: Curriculum; Education Management and Learning Activities. Research Trends affects: Learning Activities andCurriculum.
Just Print It / Nur Adliana Rozaidi

The study was the theoretical part of our Sports Management (Hons) Program related technology to entrepreneurship. The main goal was to familiarize the students with the organization's practical exploitation. The report has been written to learn the factors leading to a new product or services being launched. A general introduction to the new product concept occurred during the first phase of the study. In this section this study addressed the problem statements or problems, methods, and limitations. In addition, the problem statements can be divided into three categories, which are marketing, technology, and capital. Also stated in this report in the next phase of the study was description, classification, and process of new product creation. They are two different product classifications that are updates and modifications of current products, and repositioning of the products. Furthermore, the new product development process can be classified into five processes, which include research and development, product design features, concept testing, prototype building, and finally marketing testing. Screening of ideas and generation of ideas discussed in the part of research and development. Other than that, the consumer survey can be divided into three forms that are Google Style questionnaires, telephone survey, and social media use. Finally, a few tactics were used in the test marketing to get this product embraced by the audience, such as the experience of consumers, beginning with small scale and promotions. As a result, the audience's input was very helpful in meeting customer requirements and flowing the trending moment. This study also aims to be an added benefit for the consumer. Customers or users are important figures towards a company, yet the added value will be several parts of the product. The first is the product is created to fulfil the point of view of the user in which the product will be observed and judged. For example, if it's helpful they'll increase their confidence. Even significant added value to improve their happiness as this application is generated to meet the needs of those who regularly use printer in everyday activities. Eventually, delivering a pleasant and unforgettable customer experience can result in a good business success because it will spread the word of mouth or leave some positive feedback online and then make the product well known. (VerticalResponse, 2015) Hence, 'Just Print It!' built this smart application is designed to ease those mentioned above in their everyday lives because the application Just Print It has been created and modified compared other competitors. It can help the company to earn revenue from 'Just Print It' due to the special features that will benefit users.
Communication effectiveness in face-to-face and immersive virtual environment : an initial evaluation for construction

Also in Proceedings of the CIB World Building Congress 2019 : Constructing Smart Cities, the Hong Kong Polytechnic University, Hong Kong, 17-21 June, 2019, p. [1423-1432] (online version)
A Heuristic for Statistical Seriation

We study the statistical seriation problem, where the goal is to estimate a matrix whose rows satisfy the same shape constraint after a permutation of the columns. This is a important classical problem, with close connections to statistical literature in permutation-based models and also has wide applications ranging from archaeology to biology. Specifically, we consider the case where the rows are monotonically increasing after an unknown permutation of the columns. Past work has shown that the least-squares estimator is optimal up to logarithmic factors, but efficient algorithms for computing the least-squares estimator remain unknown to date. We approach this important problem from a heuristic perspective. Specifically, we replace the combinatorial permutation constraint by a continuous regularization term, and then use projected gradient descent to obtain a local minimum of the non-convex objective. We show that the attained local minimum is the global minimum in certain special cases under the noiseless setting, and preserves desirable properties under the noisy setting. Simulation results reveal that our proposed algorithm outperforms prior algorithms when (1) the underlying model is more complex than simplistic parametric assumptions such as low-rankedness, or (2) the signal-to-noise ratio is high. Under partial observations, the proposed algorithm requires an initialization, and different initializations may lead to different local minima. We empirically observe that the proposed algorithm yields consistent improvement over the initialization, even though different initializations start with different levels of quality.
LibGuides: Instructional Development: Instructional Design

This guide provides multiple resources to fit with your professional instructional goals. Each tab includes books, ebooks, and articles vetted by the Teaching and Learning Centre of Innovation staff to ensure credible, valid, and up to date information.
Integral Image based Fast Convolution Operations via Separable Kernels

In this paper a method for accelerating the convolution processes, which is performed with different size of kernel filters, is proposed. The proposed method is basically based on the integral image representation approach. Integral image approaches are not directly usable with kernel filters. The convolution process is performed over sub-matrices by defining kernel filters as linear combinations of sub-matrices. Comparing the running times between standard convolution and the proposed method under different sizes of kernel filters and different resolutions of images, it has been observed that the convolution processing times for 19 × 19 and larger kernel matrices are in favor of the proposed method.
The effectiveness of FYPMS in increasing the quality of final year students project management

Final Year Project Management System (FYPMS) was developed for the purpose of managing the DFT6014 Integrated Project course taken by the final semester student of Diploma in Information Technology, Polytechnic Malaysia. Course management needs to be done effectively as this course involves a large number of students and a large number of lecturers acting as supervisors and assessors. The existing management system uses a manual method, whereby all processes in the final year project management are recorded on paper. It starts with enrolling a student group for the final year project, identifying the supervisor for the student project group, verifying the student project proposal, performing the assessment and recording the scores manually. Based on the feedback obtained from the survey indicates the need to develop a web-based system known as FYPMS. This system has been implemented to assist the management and monitoring progress of final year project. Therefore, this study was conducted to identify the users’ (students, project coordinators, assessors and supervisors) perceptions of the use of FYPMS. Descriptive studies were conducted to determine whether the implementation of FYPMS could meet the needs of internal user especially lecturers at JTMK. Feedback from the use of FYPMS was collected from target group users using Regular Random Techniques, where 13 lecturers and 104 students were enrolled in the DFT6014 Integrated Project course through questionnaires. Data obtained from the questionnaire were analyzed to determine respondents' feedback using software version 15.0 SPSS (Statistical Package for Social Sciences). The results are then presented in table form and interpreted using statistical mean interpretation by Landell, 1997. The findings show that the average mean for students and lecturers was at high level of interest (3.81 - 5.00 points) and the scores are 4.85 and 4.61 respectively. Therefore, it can be concluded that FYPMS is capable to improve the quality of the final year project management as well as solving the problems that existed are particularly related to the calculation of student project evaluation scores. This makes the course management and evaluation process more efficient and systematic and saves cost, time and energy.
Uma ferramenta para rastreamento semântico de eventos a partir de documentos da Web

Exploring large news collections created by media outlets with traditional search engines is impractical for demanding users. Thus, we propose a temporal exploration tool that aims to facilitate the consultation of news collections. We concentrated our efforts on two fronts (i) allowing users to make queries with the addition of information from documents represented by word embbedings and (ii) developing a strategy for retrieving temporal information to generate timelines presented by an appropriate interface. We evaluated our solution in a collection of a Brazilian newspaper and demonstrated that it can draw different timelines, covering different subtopics of the same theme.