Reviewerly/exHarmony huggingface dataset:
사회통합프로그램 한국어교원 재교육 프로그램 개선 방안 연구 - 사회통합프로그램 한국어교원 대상 설문조사를 중심으로 -

This study aims at investigating whether the new Korean Language Teacher Training program(baeum-ieum-teo) for Korea Immigration and Integration Program(KIIP), by National Institute of Korean Language which was put into practice in 2019 promotes prospective Korean language teachers' awareness of Korean language. In doing so, 48 current Korea Immigration and Integration Program teachers participated in the study. The data was collected through a questionnaire. The results of the study revealed that, in terms of multicultural society or policy, teachers prefer theoretical lectures. In terms of educational contents, it is found that teachers prefer practicum or discussion-formatted program. Also, in case of 5+ years experienced teachers, it is revealed that there is a greater demand for an environment that can enhance professional competency rather than operating classes. The topics teachers want to take in the future were teaching materials and teaching methods. Through the results of this study, we propose that Korea Immigration and Integration Program should include the contents on national policy regarding immigrated learners of Korean. We also suggest continuous development of programs that contain teaching and teaching materials that can be practically applied in class.(Chung-Ang University)
Intraoperative Data Acquisition through Visual Sensing of Surgical Workflow

A multi-camera visual sensing setup for intraoperative data acquisition inside the operation room is presented.The system is designed to allow acquisition of visual information during surgery, which can be used to analyzecontext information for surgical assistance or robotic systems. Based on a previously introduced system for dataacquisition, a new modular approach for a completely integrated and portable system is presented. Throughadditional functionality, such as disinfectability, cooling of enclosed components and integration into surgicalworkflow, it can be applied in surgical research projects, e.g. for the acquisition of staff movement data.
UofL Libraries: Lateral Reading: Video

Practice “lateral reading,” a strategy used by professional fact-checkers to investigate the reliability of online sources.
Robots Save Us Time—But Do They Make Us Happier?

Autonomous products such as robotic vacuum cleaners, lawn mowers, and playmates for our pets are meant to improve people’s lives—but do they actually make consumers happier? The authors share the results of recent research which found that owning autonomous products does in fact increase happiness, but with two important caveats: first, they found that consumers felt less comfortable using products with highly human-like features such as voices or names, and actually reported feeling guilty about relegating their dirty work to these products. Second, they found that if using a robotic product was associated with laziness, that could also decrease consumer happiness. Based on these findings, the authors offer several practical suggestions for how manufacturers can most effectively develop and market these time-saving products to the modern consumer.
The influence of imprecise quantum measurement on remote state preparation protocol

In this paper, the influence of imprecise quantum measurement on remote state preparation scheme is investigated. By analyzing the measurement parameters and corresponding errors, we obtain the evolution of output state in the process of remote state preparation. In terms of the fidelity of initial state and output state, the influence of imprecise quantum measurement is discussed. The results of this paper have the reference value for the selection of measurement basis when the quantum measurement on remote state preparation is imprecise.
Sentence Level N-Gram Context Feature in Real-Word Spelling Error Detection and Correction: Unsupervised Corpus Based Approach

Spell checking is the process of finding misspelled words and possibly correcting them.Most of the modern commercial spell checkers use a straightforward approach to finding misspellings, which considered a word is erroneous when it is not found in the dictionary.However, this approach is not able to check the correctness of words in their context and this is called real-word spelling error.To solve this issue, in the state-of-the-art researchers use context feature at fixed size n-gram (i.e.tri-gram) and this reduces the effectiveness of model due to limited feature.In this paper, we address the problem of this issue by adopting sentence level n-gram feature for real-word spelling error detection and correction.In this technique, all possible word n-grams are used to learn proposed model about properties of target language and this enhance its effectiveness.In this investigation, the only corpus required to training proposed model is unsupervised corpus (or raw text) and this enables the model flexible to be adoptable for any natural languages.But, for demonstration purpose we adopt under-resourced languages such as Amharic, Afaan Oromo and Tigrigna.The model has been evaluated in terms of Recall, Precision, F-measure and a comparison with literature was made (i.e.fixed n-gram context feature) to assess if the technique used performs as good.The experimental result indicates proposed model with sentence level n-gram context feature achieves a better result: for real-word error detection and correction achieves an average F-measure of 90.03%, 85.95%, and 84.24% for Amharic, Afaan Oromo and Tigrigna respectively.
LibGuides: So you want to know more about Serial Killers?: Home

Are you interested in true crime, but don't know where to start? Are you a serial killer aficionado interested in what your library has to offer? You've come to the right place!
Fortalecimiento de la comprensión lectora en niños y niñas del grado transición de 5 a 6 Años en el Jardín Infantil Esopo, mediante la implementaciòn de un objeto virtual de aprendizaje implementaciòn De Un Objeto Virtual De Aprendizaje (Ova)

This investigation approach has as a purpose to address the issue of reading comprehension in children of the kinder garden, from an LVO (Learning Virtual Object) implementation. It gets developed in a sequential and didactical way through organized activities that allow cognitive and communicative abilities and sensory skills.
Developing a smartphone app with UK migrants for UK migrants: lessons learned from focus group work

Abstract Background In 2018, 14% of people living in the UK were born abroad, yet we have a limited understanding of the broader determinants of their health. To address this knowledge gap, the Health on the MovE (HOME) smartphone application (app) study was conceived. Through app-based surveys, the study will examine how risk factors for health and well-being are distributed among migrants and how these vary over time since migration to the UK. There is a lack of research addressing the development of apps for longitudinal data collection in the general population - and we did not find any in migrant groups. Methods To better inform the design of the HOME app study, three workshops were held in 2018 and 2019, involving both migrants and App development experts. We used a semi-structured interview schedule focused on five themes: smartphones, apps and research, HOME app wireframe (screen-by-screen review of the app), types of surveys and survey schedules, resource section content, and participant engagement strategies. The participants were purposively sampled to reflect the migrant population arriving in the UK from non-EU countries. Results Migrants reported high smartphone use and were positive about the app design and app-based research. Concerns around privacy and data protection were highlighted and limits were suggested for the frequency of surveys and the number of questions used. Mental health was identified as a key topic for research. Participants requested the inclusion of resources concerning asylum claim procedures and immigrant and labour laws. Migrants advised that study recruitment material should clearly state the purpose and scope of the research and requested regular feedback on study outcomes. Conclusions The workshops provided important feedback and facilitated the co-production of the HOME app. Overall findings suggest that the study would be both acceptable to the migrant population and feasible for real-time data collection. Key messages The process identified potential barriers to the acceptability and feasibility of an app-based study for real-time data collection in the UK migrant population. Organising workshops with migrants allowed for an iterative process of co-production of the HOME app. Their critical comments resulted in subsequent changes to the app design and study methodology.
Two million COVID-19 cases in Brazil

On March 11, 2020, the World Health Organization (WHO) officially declared the 2019 coronavirus disease (COVID-19), an acute respiratory disease caused by a new coronavirus (SARS-CoV-2, previously known such as 2019-nCoV), as a pandemic COVID-19 has spread across China and received worldwide attention Here, we draw attention to the impact of the historical mark of 2 million cases confirmed by COVID-19 in Brazil and to the fact that, in absolute numbers, Brazil is the second in the world with more deaths from COVID-19 We discuss the fact that, in a moment in which Brazil seems to become the new epicenter of the COVID-19 pandemic, it has been implemented strategies for relaxing social distancing and social isolation © 2020 Faculdade de Medicina de Ribeirao Preto - U S P All rights reserved
Performance comparison of differentNoSQL structure orientations

This study proposes a performance comparison between the different structures of NoSQL databases; document, key-value, column and graph. A second study is also conducted, when looking at performanc ...
Educational Dialogue in the Conditions of Edification of Primary Education: Axiological Aspect

The article presents an empirical research of the problem of educational edification in the axiological plane, analyzes scientific literature, history, and strategies of edificatory changes in response to contemporary challenges in primary education, substantiates the features of cultural and historical and pedagogical processes related to the changes in pedagogical mentality in the context of edification and the new paradigm of education. The essence of edifying changes in the sphere of human culture and educational activity as a part of this culture are analyzed, including systematized general historical and pedagogical and general pedagogical foundations of edification in elementary education through educational dialogue as the means of active formation of a personality of the younger student. It is established that valuable and epistemological anthropocentrism determine the specifics of social philosophical analysis of the role of human-centric education, that sociocentrism of the sociological approach promotes the integration of modern theories into a unified methodological educational strategy, and that in the world a hermeneutical-dialogical tradition has been created, according to which a person develops through action and dialogue that which connects him with culture and the world. The credibility of the research results was confirmed by means of a Mann-Whitney U-test and the accuracy criterion for the differences of averages of the student's t-test for independent selections. On the basis of the research conducted the problems and directions are defined, and strategic, general pedagogical means of changes bringing edification through educational dialogue in primary education are outlined as an effective direction of its reformation.
LibGuides: IUN Virtual Library for Faculty: Media for Virtual Teaching

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction.
Room management system : Integrating Raspberry Pi with Graph API

The increase in connectivity and use of “smart” devices offers companies new possibilities to improve their efficiency by using digitalization. For example, booking of meeting rooms have gone from  ...
The Role of Context in the Prediction of Acute Hypotension in Critical Care

Applying machine learning tools to forecasting adverse events in intensive care can be invaluable in providing clinicians with the time needed to intervene and improve patient outcomes. In this work, we describe an end-to-end approach to the prediction of hypotension from critical care data using off-the-shelf classification models. Standard performance metrics suggest these models effectively learn from available data, and that additional multi-modal information improves classification accuracy. However, we show that this improvement is disputable when probing further into medical context and choices in data curation, thus highlighting the need for a domain-centric design of machine learning for clinical decision support.
LibGuides: Nursing: Other Resources

Welcome to the LibGuide for Nursing. The guide helps you discover relevant literature and research, write your own research and keep up to date with your field.
LibGuides: Licensing Agreements for Electronic Materials in Libraries: About

This LibGuide provides an overview of the many issues surrounding licensing agreements in public and academic libraries, both from a Canadian perspective and from other jurisdictions.
Att sätta nytt PB i typografi : En prototypdriven studie om typografi i träningsappar

This work study how certain aspects of typography affects the usability and user experience (UX) of a fitness app. “PR” in the title refers to achieving a personal record in sports and fitness. Typ ...
Test Fonksiyonları için Kaos Tabanlı Yerçekimsel Arama Algoritmaları (CbGSA-X)

The heuristic algorithms used in the solution of optimization problems may not be able to reach the best result for each problem resolutely due to their different designs. As a consequence, literature denotes some developing structures which are added to these heuristic algorithms. Within this scope, we evaluated the performance of gravitational search algorithm (GSA), which is one of the most prominent heuristic algorithm. In the study, aiming to increase the convergence speed of the algorithm, a new algorithm has been created by integrating some chaotic mapping methods to GSA. This new algorithm has been called chaos-based gravitational search algorithm (CbGSA-X). In order to make a performance evaluation for each mapping method, we utilized test functions which were solved with GSA in literature. Finally we introduce our solutions and performed evaluations.
DESAIN SISTEM INFORMASI KEDISIPLINAN SISWA DI SEKOLAH MENEGAH KEJURUAN NEGERI 1 BUKITTINGGI

Discipline is an indicator of personal success. To adapt it needs practice and instill self-awareness starting from an early age. School is a place for self-discipline education especially for students. The role of technology is also very necessary in controlling and supervising students discipline at school. SMKN 1 Bukittinggi has a system to discipline students, but it is still done in the conventional way such as recording, giving sanctions to students who violate the discipline. To help and facilitate the school, needed a computerized system that can record, recap and given sanctions automatically. This research was conducted with the ADDIE (Analyze-Design-Develop-Implement-Evaluate) version of the Research and Development method while for the system development used the Waterfall SDLC model. Information system products tested obtained a validity test value with an average value of 87.75 which is very valid, the practicality test researchers got an average value of 92 which is very practical, and the effectiveness test researchers get an average value of 93.34 which is very effective.
The Application of Home Electronic Monitoring in Epidemic Prevention Period and Its Legal Sources

In order to ensure house-isolation and home-based quarantine people not to leave their residences, the Central Epidemic Command Center is using cell-phones to monitor them After examining the Communications Security and Surveillance Act, the COVID-19 Act, and the Communicable Disease Control Act, those statutes cannot be the basis of such measure The legislature should have more specific provisions
Generazioni 2.0 e produzioni scritte

The purpose of this article is to investigate the written productions carried out by pupils of Spanish-speaking origin of 2.0 generation of the Italian secondary school. The research question is inspired by a previous analysis (Firpo 2014) which aims to study the communicative linguistic preknowledge related to the Academic Language of foreign students of Spanish-speaking heritage language. The test was an adaptation of the Italstudio test (Firpo 2014). The test was divided into three sections: Language, Comprehension and Writing. This test was also used during the experimentation to verify the evolution of students' learning through repeated tests sessions. The same test was also submitted in Spanish to the sample of the Spanish-speaking heritage language. In this article we will analyze only the Italian written productions of a sample of 23 language students of Spanish-speaking heritage language of 2.0 generation.
Improved UAV Scene Matching Algorithm Based on CenSurE Features and FREAK Descriptor

The traditional local invariant features scene matching algorithms have many redundant points, poor real-time and Low anti-geometric transformation. So we propose an unmanned aerial vehicle scene matching algorithm based on CenSurE features and FREAK descriptor. Steps of the algorithm are as follows: use the CenSurE-star operator to extract the feature points, calculate feature vectors by FREAK descriptors, then complete matching process through KNN ratio method, finally use RANSAC location model to get image transform relations, latitude and longitude. Experiments show that: compared with SIFT, SURF, ORB algorithms, this algorithm not only has better robustness for various transformation, but also greatly shorten the processing time of about 86 ms. The positioning error within 0.6 pixel, scale error within 0.02 times, rotation Angle error within 0.04°.
LibGuides: Quick Guide to Online Research: Library Staff Contacts

This guide is a primer on conducting scholarly research remotely, highlighting the most fundamental, important, and most powerful resources available to Sotheby's Institute of Art, New York MA students, faculty, and staff.
Towards reconfigurable optoelectronic hardware accelerator for reservoir computing

Reservoir Computing (RC) is a subset of Recurrent Neural Networks (RNN) and has emerged as a powerful method for large scale classification and prediction of temporal problems with a reduced training time. Silicon-Photonics architectures have enabled high speed hardware implementations of Reservoir Computing (RC). With a Delayed Feedback Reservoir (DFR) model, only one non-linear node can be used to perform RC. In literature, multi-layer photonic RC architectures have been proposed by stacking multiple reservoirs together. Such architectures have demonstrated improved performance over single reservoir networks. However, as we show in the paper, for each task, the performance improvements saturate with a different number of layers. Hence, a hardware accelerator with fixed number of reservoir layers is not optimal for all tasks. Moreover, the gain in performance also comes at the cost of increased power consumption. Therefore, in this paper we propose a new reconfigurable optoelectronic architecture for multi-layer RC. Our proposed architecture, is based on DFR model implemented by the use of Mach Zehnder Modulator (MZM) and on chip low loss delay lines for improved performance. It integrates photonic switches based on Micro Ring Resonators (MRR) to enable reconfigurability. The architecture enables layer selection and layer gating to select the number of layers required for a task. Selection of number of layers can optimize the architecture for a specific application, resulting in huge power savings, while maintaining the overall accuracy. Our experiments with NARMA task and analog speech recognition task show that by optimally configuring an up-to 4-layer architecture, power savings up to 40% can be achieved compared to state-of-the-art architectures while gaining up to 80% more accuracy. Our scalable architecture has an on-chip area overhead of 0.0184mm2 for a single delay line and MRR switch.
Tide Pooling for a Solution: Strategic Communication to Strengthen the Pūpūkea Marine Life Conservation District

Author(s): Barcina, Keelan | Abstract: This report focused on a timely marine conservation issue in Pūpūkea, O‘ahu, Hawai’i regarding the lack of enforceable administrative rules in Kapoʻo, also known as the Pūpūkea or Sharks Cove tidepool, that is a part of the Pūpūkea Marine Life Conservation District (MLCD). To support the rule change process to revise the administrative rules, I worked with Mālama Pūpūkea-Waimea (MPW), a local nonprofit, to create and apply an ArcGIS Story Map. To build the Story Map, I explored available published literature, examined human use data from Kapo‘o, and observations from beach closures in response to the COVID-19 pandemic. From theliterature, I gleaned information on the role and function of tide pools in Hawai‘i, impacts from recreational use in coastal environments, marine managed areas in Hawai‘i. From the human use data, I found that the majority of visitors at Kapo‘o engaged in swimming, snorkeling, and shoreline use; and the monthly average number of people participating in these three activities combined increased by 58 people, or 7%, from 2017 to 2019. Observations during a two-month beach closure due to the pandemic included an anecdotal increase of juvenile fish, native algae, and sightings of rarely observed marine life, with no to minimal human disturbance. The Story Map will be used by MPW to educate the Pūpūkea community and visitors and will support the group through the future rulemaking process to make MLCD rules enforceable in Kapoʻo. Future studies will be conducted to understand Kapo‘o’s ecological role in the MLCD, to explore its role as a nursery and refuge for marine life, and to determine the magnitude of fishing andrecreational impacts on the ecosystem.
Supporting Collaboration in Social VR

Author(s): Fernandes, Sean | Advisor(s): Isbister, Katherine | Abstract: Playful interactions have the potential to resolve some of the shortcomings inherent in collaboration in VR space, and offer a potential path for improving collaboration by taking greater advantage of the wide range of interactions possible in the virtual environment. Building toward this goal, this thesis experimentally evaluates two potential approaches to developing social VR collaborative experiences. The first approach offers a visual abstraction of conversational state, allowing participants to see the recent history of their conversation and adjust accordingly. The other introduces an ambient agent which does not participate in the conversation or provide any prescriptive advice, but instead passively indicates whether the conversations has become imbalanced. They were evaluated through user tests involving a collaborative problem solving task in order to establish their effectiveness in social VR situations.