Reviewerly/exHarmony huggingface dataset:
Colleen M. Flood, Vanessa MacDonnell, Jane Philpott, Sophie Thériault, <b>and</b> Sridhar Venkatapuram, <b>eds.</b>Vulnerable: The Law, Policy and Ethics of COVID-19. Ottawa, ON: University of Ottawa Press, 2020. 630 pp.

Colleen M. Flood, Vanessa MacDonnell, Jane Philpott, Sophie Thériault, and Sridhar Venkatapuram, eds.Vulnerable: The Law, Policy and Ethics of COVID-19. Ottawa, ON: University of Ottawa Press, 2020. 630 pp. - Volume 36 Issue 1
FAULT DETECTION AND MONITORING OF PV SOLAR PANELS USING IOT

Solar energy is becoming increasingly attractive as we grapple with global climate changes. However, while solar energy is free, non-polluting, and inexhaustible, solar panels are fixed. As such, they cannot take advantage of maximum sunlight as weather conditions and seasons change. A solar panel receives the most sunlight when it is perpendicular to the sun’s rays, but the sunlight direction changes regularly with changing seasons and weather. Currently, most solar panels are fixed, i.e., the solar array has a fixed orientation to the sky and does not turn to follow the sun. To increase the unit area illumination of sunlight on solar panels, we designed a solar tracking electricity generation system. The design mechanism holds the solar panel and allows the panel to perform an approximate3-dimensional (3-D) hemispheroidal rotation to track the sun’s movement during the day and improve the overall electricity generation. This system can achieve the maximum illumination and energy concentration and cut the cost of electricity by requiring fewer solar panels, therefore, it has great significance for research and development. The main use of this report is to utilize the maximum power from the sun. Now a day we are in heavy need to use the solar power as in the coming days everything we use might depend on this kind of systems.
Research Guides: Liaisons: Open House

Librarian Liaisons for Divisions and Pathways Areas of Interest Spring 2021 E-Resources Open House
Methods Of Conducting Demonstration Experiments Using The Platform “Physics At School”

The article briefly describes the result of the work on conducting virtual demonstrations and experiments using digital technologies in the teaching of physics.
Pengembangan Media Pembelajaran Modul Interaktif Menggunakan Lectora Inspire Pada Mata Pelajaran Simulasi Dan Komunikasi Digital

Abstract : This study aims to develop and determine the feasibility of learning media for desktop-based interactive modules on digital citizenship material at SMK TI Airlangga Samarinda for the 2020/2021 academic year. The type of research used is Research and Development (R&D). The results of this study are: 1) Development of desktop-based Interactive Module learning media on Simulation and Digital Communication subjects with theapplication Lectora Inspire. 2) The feasibility test can be seen in the questionnaire results obtained from three media experts with 23 indicators, the total score is 268 out of a maximum score of 345 with the category Feasible, the percentage of feasibility is 77.68%. Testing by material experts with 10 indicators obtained a total score of 43 out of a maximum score of 50 in the category Very Appropriate with a percentage of 86% feasibility. Testing of five media users with 15 indicators obtained a total score of 310 from a maximum score of 375 in the category Very Appropriate with a percentage of 82.67% feasibility. Based on this description, it can be concluded that the desktop-based interactive learning media with the Lectora Inspire developed is suitable for use in Simulation and Digital Communication learning on Digital Citizenship material. Keywords:  Interactive Learning Media, Lectora Inspire
Utility and Impact of QR Codes and Barcodes in Scholarly Journals

In 1994 a squared two-dimensional barcode was invented by Toyota Company which changed and speed up the concept of tracking and identification. They chose its name QR which stands for Quick Response code. Quick Response codes can convey data such as show a geographical location, make a phone call, link to a simple text, link to a website or template email, access to a portable document format (PDF), display an image, link and download a specific application on a mobile device or Wi-Fi login. Academic journal leaders should notice that QR code as a unique shaped matrix code is increasingly being used by prestigious publishers and scientific journals. But has been ignored by eastern scientific journals and academic institutes for many years. As the author checked all English Iranian journals, no Iranian academic publication or publisher has and uses QR code or even barcode on their websites or on their journal covers till 16 Dec 2019. In this review, the author aimed to explore the use of QR codes specifically for academic publications, identify perceptions towards their use, and any information that has been encountered during implementation.
Smart Contracts: A Remedial Analysis

The perpetual script of a smart contract, that executes an agreement machine-to-machine without prejudice, guarantees performance of ‘contractual terms’ enabling the exchange or transaction of cryptoassets and other forms of property. Yet, smart contracts as recognisable or valid legal instruments within the boundaries of contract or property law remain uncertain and contentious. Contrary to perceptions of contractual streamlining and efficiency, understanding the uncertainty smart contracts produce lies in the technology's failure to meet many of the fundamental principles of contract law and theory concerning, for example, breach of promise and remedy for breach. Smart contracts appear to reduce contracting to a form and standard well below that developed by contract law and theory over many centuries in both civil and common law jurisdictions. Including elements of the law of restitution, this article's remedial analysis will examine smart contracts considering ‘traditional’ contract law to understand and, where possible, test the legal legitimacy of this post-human technology, and explore the potential of smart contracts to supplement or, in time, supersede traditional contract law.
Education and self-education of students in the socionamic activity in the context of "new reality"

The current study addresses the issues of education and self-education of nurturant students in the transition to distance learning during the coronavirus pandemic, considering the purposeful and rational nature of this phenomenon, substantiates the need to manage this process; attention is focused on the fact that the educational system of universities should be responsible not only for training but also for upbringing, for the development of the creative potential of the individual, for the formation of professional skills; the possibility of changing the format of training is analysed based on their equipment of teachers with methodological developments and recommendations, modified programs prepared in accordance with the nature of the discipline; the authors note that distance education of artistic and pedagogical students should be aimed at the formation of professional skills based on the "live" interaction of the subjects of the educational process.
A Comparative Study of Algorithms for Recommender Systems

Recommender Systems have become a very useful tool for a large variety of domains. Researchers have been attempting to improve their algorithms in order to issue better predictions to the users. However, one of the current challenges in the area refers to how to properly evaluate the predictions generated by a recommender system. In the extent of offline evaluations, some traditional concepts of evaluation have been explored, such as accuracy, Root Mean Square Error and Mean Absolute Error for top-N recommendations. In recent years, more research have proposed some new concepts such as novelty, diversity and coverage. These concepts have been addressed with the goal to satisfy the users’ requirements. Numerous definitions and metrics have been proposed in previous work. On the absence of a specific summarization on evaluations of recommendation combining traditional metrics and recent progresses, this paper surveys and organizes the main research that present definitions about concepts and propose metrics or strategies to evaluate recommendations. In addition, this survey also settles the relationship between the concepts, categorizes them according to their objectives and suggests potential future topics on user satisfaction. We compare five experimental methodologies, broadly covering the variants reported in the literature. In our experiments with three state-of-the-art recommenders, four of the evaluation methodologies are consistent with each other and differ from error metrics, in terms of the comparative recommenders’ performance measurements. The other procedure aligns with RMSE, but shows a heavy bias towards known relevant items, considerably overestimating performance.
Speech To Sign Language Translator For Hearing Impaired

The growth of the Internet has increased multi-folds in recent years. The Internet has become the medium of communication since the Covid-19 pandemic had started. The usage of communication via online means that the audio and visual content has also increased rapidly. Though it has been a boon for the major section of the people, differently-abled like the hearing-impaired people have limited resources to make use of. This project is aimed to design an application that converts the speech and text input into a sequence of sign language visuals. Speech recognition is used to convert the input audio to text and it is further translated into sign language. Natural Language Processing algorithms are used for word segmentation and extraction of root words. The translation happens to the Indian Sign Language in an effort to make this project more regional to the people of India.
PESQUISA EMPÍRICA SOBRE CSCW PUBLICADOS NA CONFERÊNCIA ACM/CSCW ENTRE OS ANOS DE 2008 A 2018

This article reviews 95 empirical research articles published at the ACM/CSCW conference between the years 2008 to 2018 in which the author uses the keywords “CSCW”, “ Groupware ” and “Health”. The articles were classified according to the type of empirical research they report, following the methodology published by Wainer and Barsottini. The classes are Design and Evaluation, Descriptive, Exploratory, Bibliographic or articles without empirical research. The results show that the CSCW field is constantly changing with a predominance of studies of design and evaluation of systems and processes. Most of the studies are based on ethnographic and qualitative analysis in order to produce data that encourage the development of tools. Thus respecting the workflow and amplifying the quality of the product.
En-Is Semi-Synthetic Parallel Name Robustness Corpus

A semi-synthetic parallel corpus, based on the ParIce corpus. Person names have been identified in both source and target sentences in each pair. They are then replaced with other names of the same gender and having the same declension, sourced from news articles. By mixing this data with other parallel corpora during training, a network can see many more names than it would otherwise, helping it learn the correct translation of Icelandic person names.Samhliða halfgervimalheild unnin upp ur ParIce malheildinni. Mannanofn eru merkt serstaklega, beggja vegna i hverju setningapari. Þeim er svo skipt ut fyrir onnur nofn af sama kyni og i sama falli. Nofnin eru fengin af islenskum frettavefjum. Með þvi að blanda þessari malheild saman við aðrar i þjalfun ma lata þýðingarlikan sja mun fleiri mannanofn en annars, og hjalpa þvi þannig að laera meðferð islenskra mannanafna.
Evaluation of the Effective Factors in Locating a Photovoltaic Solar Power Plant Using Fuzzy Multi-Criteria Decision-Making Method

The energy of processes is mainly supplied by fossil fuels. Short life of fossil energy sources and increasing environmental pollution caused by fossil fuels and increasing demand have made researchers introduce new solutions for supply of energy. Energy production in a photovoltaic solar power plant is cost-effective due to being clean and renewable. The power generation of these plants is affected by their site due to climate conditions, effective radiation periods, and the rate of solar radiation absorption. Therefore, finding the optimal location to establish a solar power plant is important. Identifying effective location criteria and the importance of these criteria is effective in choosing the optimal location.In this research, in the first phase, the effective criteria in locating a photovoltaic solar power plant were investigated based on the Delphi method. Then, in the second phase, based on the criteria identified in the first phase, fuzzy hierarchy method was used to compare the criteria with each other and determine the importance of each of them. The results of the study showed that the rate of solar radiation and average temperature were the most important criteria in locating photovoltaic solar power plant. Moreover, the criteria of slope, distance to main roads, distance to power lines, and land use were of highest importance in locating a photovoltaic solar power plant.
M-LEARNING ADOPTION: COMPARING ADOPTERS AND NON-ADOPTERS INSTRUCTORS

This paper investigates higher education instructors’ attitude towards mobile learning (m-learning), focusingon the motives behind their decision to adopt m-learning in their daily activities. Supported by the diffusion ofinnovations theory, the researchers interviewed both instructors who had already adopted m-learning and instructorswho had not. Data from the interviews were subjected to content analysis and results suggest that, nomatters the difference in perception between adopters and non-adopters, there are three fundamental pillarsthat allow for innovation in teaching practices: (1) the instructor’s personal interest in innovating and changingthose practices, (2) institutional support, and (3) government support.
몽골인 한국어 학습자의 시제 및 높임법 사용의 문법적 오류 분석 연구

In this paper, we analyzed the errors made in tense and honorification by Mongolian learners of the Korean language. The error rate for tense was 25.2%, due to omission, substitution, and addition in order of frequency, while that for honorification was 15.8%, with the largest number of errors caused by substitution followed by omission and addition. This error analysis was performed for all grades to identify the types of errors made by Mongolian learners, comparing and contrasting the Korean and Mongolian languages to determine the reasons for those errors. It is expected that these findings will contribute greatly to teachers’ and learners'' understanding of the difficulties experienced and indicate the direction in which Korean language education should proceed.
Ambiguity in Medical Concept Normalization: An Analysis of Types and Coverage in Electronic Health Record Datasets.

OBJECTIVES Normalizing mentions of medical concepts to standardized vocabularies is a fundamental component of clinical text analysis. Ambiguity-words or phrases that may refer to different concepts-has been extensively researched as part of information extraction from biomedical literature, but less is known about the types and frequency of ambiguity in clinical text. This study characterizes the distribution and distinct types of ambiguity exhibited by benchmark clinical concept normalization datasets, in order to identify directions for advancing medical concept normalization research. MATERIALS AND METHODS We identified ambiguous strings in datasets derived from the 2 available clinical corpora for concept normalization and categorized the distinct types of ambiguity they exhibited. We then compared observed string ambiguity in the datasets with potential ambiguity in the Unified Medical Language System (UMLS) to assess how representative available datasets are of ambiguity in clinical language. RESULTS We found that <15% of strings were ambiguous within the datasets, while over 50% were ambiguous in the UMLS, indicating only partial coverage of clinical ambiguity. The percentage of strings in common between any pair of datasets ranged from 2% to only 36%; of these, 40% were annotated with different sets of concepts, severely limiting generalization. Finally, we observed 12 distinct types of ambiguity, distributed unequally across the available datasets, reflecting diverse linguistic and medical phenomena. DISCUSSION Existing datasets are not sufficient to cover the diversity of clinical concept ambiguity, limiting both training and evaluation of normalization methods for clinical text. Additionally, the UMLS offers important semantic information for building and evaluating normalization methods. CONCLUSIONS Our findings identify 3 opportunities for concept normalization research, including a need for ambiguity-specific clinical datasets and leveraging the rich semantics of the UMLS in new methods and evaluation measures for normalization.
Optimizing Percentile Criterion using Robust MDPs

We address the problem of computing reliable policies in reinforcement learning problems with limited data. In particular, we compute policies that achieve good returns with high confidence when deployed. This objective, known as the \emph{percentile criterion}, can be optimized using Robust MDPs~(RMDPs). RMDPs generalize MDPs to allow for uncertain transition probabilities chosen adversarially from given ambiguity sets. We show that the RMDP solution's sub-optimality depends on the spans of the ambiguity sets along the value function. We then propose new algorithms that minimize the span of ambiguity sets defined by weighted $L_1$ and $L_\infty$ norms. Our primary focus is on Bayesian guarantees, but we also describe how our methods apply to frequentist guarantees and derive new concentration inequalities for weighted $L_1$ and $L_\infty$ norms. Experimental results indicate that our optimized ambiguity sets improve significantly on prior construction methods.
Insights on Ethiopia’s State of Emergency against COVID-19: A Descriptive Overview (preprint)

Ethiopia confirmed its first COVID-19 case on March 13, 2020. At the moment of writing, (11 August 2020), over 24, 000 cases of COVID-19 are confirmed and the pandemic is rising at an unprecedented rate. Ethiopia has started taking various legal and informal measures prior to its first confirmation announcement on March 13, 2020 and since then. Among others, Ethiopia set up the Ministerial Committee led by the PM on February 29 and the committee gave a press release on March 16 announcing a postponement of ‘large gatherings and meetings including a sporting event, limiting religious institutions and places of worship to limit gatherings and closure of all public and private schools except higher learning (HI) and later on the HI was also totally closed to combat the crisis. The committee announced that the security sector to enforce measures of ceasing large gatherings to maintain social distancing’ on 23 March. Similar measures were also taken by Amhara, Southern, and Oromia regional states among the nine member states of the Ethiopian federation though without legal gazette publication. On the top of that State of Tigray declared a State of Emergency (SoE) on March 25, 2020. In a similar vein, the federal government declared SoE by the Council of Ministers (CoM) on April 8, followed by the approval of the House of Peoples Representative (HPR) on April 13, 2020. Subsequently, the Council of Ministers also adopted its implementation regulation. But the implications of these measures on human rights and freedoms, social, economic, and political rights of the public were not strictly thought and studied. Thus, the main objective of this piece was to investigate the implications of the above measures on human rights and rule of law principles. Accordingly, it sheds some light on the substantive and procedural content of SoE in light of legality principle, proportionality, and transparency, the competence of government’s power at a different level to mention the least in contrast to measures taken in various jurisdictions.
Implementasi Metode Snowball Throwing pada Pelajaran Bahasa Indonesia untuk Meningkatkan Keaktifan dan Prestasi Belajar Siswa Kelas IX SMP N 1 Pagentan

Abstract. This study aims to improve the activities and achievements of Indonesian language students in class IX B of SMP Negeri 1 Pagentan on the competence of finding themes, settings, and characterizations in short stories in one short story book 2016/2017 academic year. The results showed that learning with the Snowball Throwing method can increase the activity and learning achievement of IXB grade students of SMP Negeri 1 Pagentan in Indonesian language learning semester 1 of the 2016/2017 school year. Research on learning achievement that the author has done can improve student learning achievement from an average of 73.9 in pre-cycle to 77.8 in cycle I and 82.5 in cycle II, an increase in average learning achievement from pre-cycle to cycle I is 3.9, from cycle I to cycle II was 4.7 so the increase from pre cycle to cycle II was 8.6. By applying the snoball throwing method, it can improve student learning activities from 21.9% pre-cycle to 58.7% in cycle I and 87.5% in cycle II. The increase in student learning activity from pre cycle to cycle I was 36.8%, from cycle I to cycle II by 28.8%, so the increase from pre cycle to cycle II was 65.6%.
Research on a high-precision and high-resolution seismic wave signal acquisition system

Abstract In oil and gas exploration, high-resolution seismic acquisition is an important research content of seismic exploration methods. In order to improve the accuracy and high resolution of the seismic wave acquisition system, a seismic wave signal acquisition system based on the 32-bit high-resolution analog-to-digital converter ADS1282 is designed in cooperation with a high-anti-interference and high-resolution piezoelectric geophone, Improve the resolution of seismic wave signal acquisition from the two aspects of seismic wave pickup and analog-to-digital conversion. The system chooses the high-performance, ultra-low power consumption Microcontroller MSP430F149 as the control core of the acquisition system, which effectively reduces system power consumption. System debugging results show that the collected data of ADS1282 is stable to 24 bits, and the consistency is good.
An Analysis on User Behaviors in Online Question and Answering Communities

Community-based Question and Answering, or CQA, has been extensively studied nowadays. Studies focus on the characteristics on users help us understand the usage of the platforms, and pave the way for downstream tasks such as churn prediction, expert recommendation and spam detection. Different from previous works, we focus on analyzing the behavioral differences between different types of users, take the feedback of the community into consideration, and predict users’ future behaviors by their historical behaviors and feedback of the community. In this paper, we conduct a case study on Zhihu.com. We collect data of questions, answers, comments and users from Zhihu.com, make a brief analysis of the usage, divide the users into 3 groups named Takers, Devotees and Participants and study the differences between each type by KS tests, and conduct linear regressions to predict users’ future behaviors using their historical behaviors and feedback from the community. We find significant differences between each type of users, and find several positive correlations between users’ historical behaviors, feedback from the community and users’ future behaviors. By the analysis of users’ behaviors, our research provides a theoretical basis for the follow-up studies.