Reviewerly/exHarmony huggingface dataset:
Pengembangan Buku Scientific Approach Berbasis QR Code Berintegrasi Kahoot

The development research produced a scientific approach textbook on the subject of Sharia Financial Instution Services based on QR Code and integrated kahoot for student XI class in semester I of sharia banking expertise. The purpose of study is to determine the development process of textbook, the feasibility of textbook dnd students responses of textbook wich is using BSNP standard. The 4-D model (Define, Design, Develope, Disseminate) from Thiagarajan was used as a development model of textbook. The results of the feasibility of islamic financial instution service textbook show an average material, language and graphic worth of 86,72% with very valid criteria. The result of product trial showed a precentage of 95,6% with veriy valid criteria. Thus, Sharia Financial Instution Service textbook is declared to be very valid and can be used in the learning process. DOI : https://dx.doi.org/10.17977/UM014v13i22020p84
Security in Cloud Computing Environments

Cloud Computing Security is an important theme connected to international privacy laws such as the European GDPR. Companies are required to secure their systems and encrypt sensible personal data t ...
THE EFFECTIVENESS OF RORY’S STORY CUBES ONLINE GAME TO IMPROVE STUDENTS’ WRITING SKILL IN RECOUNT TEXT (Pre-Experimental study at the English Club of SMK Garuda Nusantara Demak in the Academic Year 2019/2020)

Aulia, Syifa. 2020. The Effectiveness of Rory’s Story Cubes Online Game to Improve Students’ Writing Skill in Recount Text (Pre-Experimental study at the English Club of SMK Garuda Nusantara Demak in the Academic Year 2019/2020). A Graduating Paper. English Education Department. Teacher Training, and Education Faculty. State Institute for Islamic Studies Salatiga. Counselor: Nur Muthmainnah, M.Pd.This research focuses on the effectiveness of Rory’s Story Cubes online game to teach writing skill in recount text for English Club of SMK Garuda Nusantara Demak. The objectives of the research are: (1) To know the difference of students’ writing skill in recount text at the English Club of SMK Garuda Nusantara Demak in the academic year 2019/2020 before and after they were taught using Rory’s story cubes online game. (2) To find out the effectiveness of Rory’s story cubes online game to improve writing skill in recount text at the English Club of SMK Garuda Nusantara Demak in the academic year 2019/2020. This research was pre-experimental research. The data was analyzed using paired sample t-test. The subject of this research was the students of English Club of SMK Garuda Nusantara Demak. It involved 10 students. The data were collected through test and documentation. There were two kinds of tests used to collect the data, they were pre-test and post-test.Based on the research findings, the result shows that the mean score before and after treatment was improved from 72.3 became 85.9. Rory’s Story Cubes online game is effective to improve students’ writing skill in recount text. It is proven with the mean score of the post-test. The t-test value is higher than t-table (5.540 > 2.262). The researcher concludes that using Rory’s Story Cubes online game could improve students’ writing skill in recount text and could be one of a good technique in teaching writing a text especially recount text. Keywords: Rory’s Story Cubes Online Game, Writing, Recount text
p-Laplacian Spectral Clustering Applied in Software Testing

Software testing plays a vital role in the software development life cycle. Having a more accurate and cost-efficient testing process is still demanded in the industry. Thus, test optimization beco ...
Monitoring and Tuning Performance for Azure SQL

You now have seen how to secure your Azure SQL deployment. Another aspect to ensure you have the best possible database for your application is understanding how to monitor and tune performance. If you know SQL Server, here is some good news. The engine that powers Azure SQL is the same one for SQL Server! This means that just about any performance capability you need exists for Azure SQL. It also means that many of the same tasks and skills you use for SQL Server apply to Azure SQL. This means in this chapter, we will explore all the capabilities and tasks you normally use to monitor and tune performance for a SQL Server and compare it with Azure SQL.
Warren Hunting Smith Library: Explore More Faculty Services: Welcome!

This guide provides an introduction for new and current faculty to the services available in the Warren Hunting Smith Library. Please check the quick links for commonly requested services at our library.
A qualitative study to explore the experience of women regarding premenstrual syndrome (PMS) and how it affects the DLA and strategies used by them to overcome it

Premenstrual syndrome (PMS) can be said to be the physical, psychological and behavioral symptoms that can occur in the two weeks before a woman's monthly period.A qualitative study was conducted with a goal to study in depth regarding Premenstrual syndrome (PMS) among women of reproductive age (20-45years).The study was conducted on 14 female faculties and PG students.Focal group interview was conducted on the participants which extended up to 45 minutes.In focus group majority 12 (70.58%) of participants was from the age group of 25-30 years and 8 (47.06%) of the study participants were faculties of the college.Total 5 themes were generated which are Physical consequences, Psychological problems, Family & Social Consequences, diversional therapy & Environmental Modifications. the findings of the study can open up new strategies to identify PMS and its coping strategies.
Shining a Spotlight on Media Freedom: Media Coverage of the Global Campaign for Media Freedom

In our first project report, we analyse English-language, online news coverage and Twitter commentary about media freedom. Specifically, we ask whether the Global Campaign for Media Freedom (GCMF) has succeeded in ‘shining a spotlight’ on media freedom in its first year of activities, from July 2019- July 2020.Key Findings:*Media freedom receives more coverage than many other international human rights issues. However, this coverage has been in decline in recent years. It is also highly episodic and largely restricted to annual days / events and individual cases in which journalists are targeted or harmed.*In its first year, the GCMF has helped to shine a spotlight on media freedom, generating a significant amount of new, online, English-language news coverage and social media commentary. Notably, it generated more attention than most other international media freedom initiatives.*However, this spotlight was fleeting. Media attention was primarily focussed on the inaugural Global Media Freedom Conference in London in July 2019. The GCMF’s other initiatives generated much more limited coverage.*Media attention focused on well-known personalities associated with the campaign, especially Amal Clooney and the United Kingdom’s Foreign Secretary (at the time) Jeremy Hunt.*Disappointingly, George Clooney was also frequently mentioned in online news stories about the Global Campaign for Media Freedom (25%) – more mentions than even Jamal Khashoggi or the United Nations – despite not being involved in the campaign.
LibGuides: Finding and Using Image Resources: How to Cite Creative Common Images

This guide is designed to provide helpful links to online image resources and help on how to cite them.
AN ANALYSIS OF COHESION AND COHERENCE IN WRITING PARAGRAPH (A Case Study at Third Semester Students of English Education Department of IAIN Salatiga in the Academic Year 2019/2020)

Rahayu, Rahmadanik Siwi, 2020. AN ANALYSIS OF COHESION AND COHERENCE IN WRITING PARAGRAPH (A CASE STUDY OF THIRD SEMESTER STUDENTS OF ENGLISH EDUCATION DEPARTMENT OF IAIN SALATIGA IN THE ACADEMIC YEAR 2019/2020. A Graduating Paper. English Education Department Teacher Training and Education Faculty. State Institute for Islamic Studies (IAIN) Salatiga. Advisor: Hammam, S.Pd.,M.Pd., Ph.D. The aim of this research are to find out the cohesion and coherence problems and the cause of the problems find in paragraph written by the third semester students of English Education Department of IAIN Salatiga in the Academic Year 2019/2020.The type of this research was qualitative research which analyzed by qualitative content analysis proposed by Mayring (2014:82).The method that used in this research were using test, documentation, and interview. The finding of this research shows students? problem in cohesion is disappearance of ellipsis, while students? problem in coherence is logical order. Furthermore, the cause of students? problems is the students cannot state a clear and accurate the main idea or topic sentence is not in the right place, neither in the first paragraph nor in the last paragraphKeywords: Cohesion; Coherence; Paragraph
On the Island-(In)sensitivity of Wh-Extraction in English Sentential Subjects and Extraposition

Since Ross (1967), movement has been known to display what is called the island-sensitivity. As has long been advocated and assumed in the generative grammar, English DP and TP are the cyclic nodes/bounding nodes/barriers from which an extraction is disallowed, which turns into different versions of locality in the name of Phase Impenetrability Condition (PIC) in Chomsky (2000, 2001). With this technology, the bounding nodes enter into a new stage, Phases. In essence, however, Cyclicity, Subjacency, and PIC are all dealing with locality constraint on movement (Boecks 2012:58). While maintaining a theory-neutral stance between different versions of locality constraint on Wh-movement, the purpose of this paper is to highlight the two closely related constructions of English, Sentential Subject Construction (SSC) and its corresponding Extraposition Construction (EC) with respect to the island effect. The fact that Wh-constituent can be extracted neither from finite that-CP nor non-finite for-CP in SSC, while it freely moves out of both that-CP and for-CP in EC is analyzed with a null D head. As a consequence of this analysis, it is argued that a null D(P) is a necessary constituent in order to account for the impossibility of Wh-extraction from SSC. On the other hand, the ban on extraction is lifted in EC, due to the lack of the encapsulating DP.
LibGuides: Technical Support: Faxing

Get answers to your tech questions. Technical support for students and staff at Olds College is provided by the Learning Commons Service Desk and the Information Technology Department.
Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios

Gaze estimation is a typical approach to monitor the driver attention on the road scene. This indicator is of great importance in safe driving and in the design of the takeover control strategy for a Level 3 and Level 4 automation system. Nowadays, most of eye gaze tracking techniques are intrusive and costly, which limits their applicability over real vehicles. On the other hand, current databases used for gaze validation face the driver attention task focused on critical situations in simulation but they do not encounter actual accidents. This paper presents a low-cost and non-intrusive camera-based gaze mapping system integrating the open-source state-of-the art OpenFace 2.0 Toolkit [3] to visualise the driver attention simulation on prerecorded real traffic scenes through a heat map. The proposal has been validated by using the recent and challenging public dataset DADA2000 [9] which has 2000 video sequences with annotated driving scenarios based on real accidents. We compare our system with an expensive desktop-mounted eye-tracker, obtaining on par results and showing it is a good tool for driver attention monitoring able to be used in the design of take over systems and driving scenarios awareness systems for automated vehicles.
Classifying perceptual grouping cues using interindividual differences

Visual perceptual grouping is driven by a diverse set of known cues such as proximity, similarity, and common fate. The set of cues may be composed of different classes, such as 'extrinsic' cues (common region, connectedness) that depend on items' common relationships to third-party elements of a scene (e.g., a box that surrounds two dots groups those dots), and 'intrinsic' cues (similarity, proximity) that depend on features of the grouped items (e.g., two red dots group together if surrounded by green dots). However, these classifications heretofore relied solely on qualitative judgment and reasoning (e.g., Palmer, 1999). In this study, we exploited interindividual differences to probe relationships among grouping cues. In a 'Repetition Discrimination Task' (RDT; Palmer & Beck, 2007), participants (N=127) searched a row of alternating circles and squares for repeated items (two adjacent circles or squares) and identified the shape that was repeated. On each trial the row was grouped into pairs by one of seven cues (color similarity, proximity, common motion, temporal synchrony, common region, element connectedness, and induced perceptual grouping). Repetitions that span groups (between-groups) are found slower (slower reaction time, RT), on average, than those within-groups, an effect that scales with perceived grouping strength. For each participant and each grouping cue, we calculated an index of grouping strength (between-group minus within-group RT), and correlated effects across cues. Consistent with the existence of distinct cue classes, we found that effects of two 'extrinsic' cues (common region, element connectedness) and two 'intrinsic' cues (similarity and proximity) were the most highly correlated with one another. Hierarchical clustering analysis also suggested a broad distinction between extrinsic and intrinsic cues. Our approach suggests that grouping cues are indeed clustered into types that can be revealed through individual differences, which may be useful in guiding the construction of models of perceptual grouping.
PENGARUH PENERAPAN MODEL PEMBELAJARAN NUMBERED HEAD TOGEHTER (NHT) TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SEKOLAH MENENGAH PERTAMA

This study aims to know the effect of applying Numbered Head Together learning models to mathematics learning outcomes. The Numbered Head Together learning model is a learning model that assigns numbers to groups or provides opportunities for students to share ideas and consider the most appropriate answers. This research uses the experimental method. The population in this study were all eighth grade students of SMP Negeri 4 Negeri Agung, it has two classes with a total of 66 students. Samples were taken using a total sampling technique, which consisted of 2 classes, namely the VIII1 as an experimental class that learned through the Numbered Head Together learning model and the VIII2 as a control class that using conventional model. Data collection techniques using test, namely in written tests in the form of essays, with a total of 10 items. Data analysis was used using the t-test formula. Based on the results of data analysis that the researchers  have done, the results show that t cal = 4.76, and from the distribution table t at a significant level of 5% obtained tf = 2.00. These results remind that t cal > t tab. The results showed that the average score of experimental class was 74.94 while the control class was 62.18. From the results of research and data analysis, it can be concluded that the Numbered Head Together learning model has a positive effect on mathematics learning outcomes for VIII grade students of the even semester of SMP Negeri 4 Negeri Agung in the academic year of 2018/2019.
Intelligent Image Monitoring Technology of Marine Environmental Pollution Information

Chen, H.; Li, W., and Xie, X., 2020. Intelligent image monitoring technology of marine environmental pollution information. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 1-4. Coconut Creek (Florida), ISSN 0749-0208.With the increasing shortage of land resources, countries around the world gradually develop and use marine resources. Therefore, the marine economy has gradually become an important pillar of our national economy, which will gradually expand the scale of marine resources development. With the increase of sea related projects, the probability of marine environmental pollution events is increasing, which has seriously affected the marine ecological environment. Therefore, we need to monitor the degree of marine pollution, which can better protect the marine environment. There are many problems in traditional marine environmental pollution monitoring technology, such as short monitoring range, low monitoring accuracy, long monitoring time, etc., which cannot meet the development needs of modern industrial technology. Based on the digital remote sensing technology, this paper establishes the intelligent image monitoring technology of marine environmental pollution information, which can monitor the marine water quality in multiple dimensions. Through big data analysis, we can calculate and process the collected data, which will better complete the monitoring and analysis of marine environmental pollution. Through the intelligent image monitoring technology, we can achieve the full coverage of high-precision marine pollution monitoring, which will improve the information of marine environmental pollution samples.
Video Semantics Quality Assessment Using Deep Learning

This work proposes a method to assess the quality of user-generated videos (UGVs) of specific social events. The method is based on matching the semantic information extracted from videos and the information obtained from text news of the same event. Deep learning techniques are used to detect objects in the video scenes. News articles are represented by a set of relevant terms automatically extracted from the news. This paper describes our method and an evaluation of it.
Тезаурусы по физике и электронике для навигации по цифровому пространству знаний

The article describes the principles and experience of building brach thesauri designed to represent subject areas within the formal ontology of the unified knowledge space. Ttrms jf the thesauri include the words that are actually used for thematic indexing of documents — keywords and classification categories. The system of the thesaurus relations is established by a semi-automatic procedure and includes: equivalence (synonymy), generic hierarchy, association, and definitive relationship.
Completing Your Knowledge of Azure SQL

You have been through the journey of deploying and configuring Azure SQL Managed Instance and Databases. You have then seen all the capabilities and tasks you need to secure your deployments, make and keep Azure SQL fast, and ensure your data is highly available. In this chapter, we will complete your knowledge for Azure SQL by looking closer at a feature comparison with SQL Server, understanding options for job management, see how ways you can help support your deployments, and review best practices for using Azure SQL.
Why Did the x-Vector System Miss a Target Speaker? Impact of Acoustic Mismatch Upon Target Score on VoxCeleb Data

Modern automatic speaker verification (ASV) relies heavily on machine learning implemented through deep neural networks. It can be difficult to interpret the output of these black boxes. In line with interpretative machine learning, we model the dependency of ASV detection score upon acoustic mismatch of the enrollment and test utterances. We aim to identify mismatch factors that explain target speaker misses (false rejections). We use distance in the first- and second-order statistics of selected acoustic features as the predictors in a linear mixed effects model, while a standard Kaldi x-vector system forms our ASV black-box. Our results on the VoxCeleb data reveal the most prominent mismatch factor to be in F0 mean, followed by mismatches associated with formant frequencies. Our findings indicate that x-vector systems lack robustness to intra-speaker variations.
A Study on the Strategies and Practices of Promoting Intelligence in Primary and Secondary Schools Based on Stem--Take the Science and Technology Games of Primary and Secondary Schools in Quannan County as an Example

The 13th Five-year Plan for Education Informatization in China clearly points out that new educational models such as STEM education and maker education should be explored. STEM, as an organizational course to cultivate students' innovation ability and computational thinking in the 21st century, is in a stage of vigorous development in China. The uneven development of primary and secondary education in China is caused by the differences in economic level, geographical location and population distribution in different regions. From the perspective of STEM education, this paper analyzes the difficulties faced by Primary and Secondary Education Reform in underdeveloped areas in China and it proposes strategies of promoting intelligence in Primary and Secondary Schools based on STEM education model -- Science and Technology Games in Primary and Secondary Schools, whose content, goals, teaching process and competition rules are carefully planned and designed. The first Junior Science and Technology Games was successfully held in Quannan County, Jiangxi Province. The empirical studies show that holding Science and Technology Games for Primary and Secondary Schools in underdeveloped areas is a new attempt to explore the strategy of promoting intelligence in Primary and Secondary Schools, which provides a strong practical basis for the development of primary and secondary education in underdeveloped areas and plays a very positive role in vigorously promoting the development of primary and secondary education in underdeveloped areas, stimulating and improving the innovation and creation ability of primary and secondary students, and cultivating their computational thinking.
Online learning and teaching during COVID-19: A case study from Oman

This paper sheds light on the experience of online learning and teaching in Oman in higher institutions under confinement circumstances. The paper targets three primary objectives. First, it seeks to study the challenges of learning and teaching online in Oman.  Second, to identify the opportunities offered by learning and teaching online and thirdto recommend solutions for better learning and teaching processes. The paper uses applied and qualitative methods. The applied method lies in the use of an experiment of 8 weeks of online teaching at the International Maritime College Oman. The qualitative approach lies in the use of students' online interviews, academic staff's online meetings' feedback, and a qualitative survey for both academic staff and students. The survey targeted around 100 participants from the International Maritime College Oman, and Majan College and responses were around 64 . Findings have revealed that although online learning and teaching is a novel experience in Oman, it is a challenging experience that has reinforced new styles of learning and teaching. A considerable majority enjoyed the experience as they have since developed independent learning skills, problem-solving skills, communication skills and technological communication and IT skills. However, the significant challenges faced were related to network issues as internet connection in Oman is generally weak. Finally, there was also the challenge of students' cooperation, autonomy and dependency, as well as compliance with educational policies and cultural issues. There were also challenges related to the technological infrastructure of the institutions mentioned above and the readiness of both academic staff and students to implement technology for online teaching and learning.