Reviewerly/exHarmony huggingface dataset:
re3data COREF &amp;#8211; Enhancing the re3data service as a community-driven and trustworthy resource for research data repositories and portals

&amp;lt;p&amp;gt;re3data is the global registry for research data repositories. As of January 2021, the service lists over 2620 digital repositories across all scientific disciplines and provides an extensive description of repositories based on a detailed metadata schema (https://doi.org/10.2312/re3.008). A variety of funders, publishers, and scientific organizations around the world refer to re3data within their guidelines and policies, recommending the service to researchers looking for appropriate repositories for storage and discovery of research data. With over 750 entries the field of geosciences is one of the most strongly represented subject groups in the registry.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The re3data COREF project (Community Driven Open Reference for Research Data Repositories) started in January 2020 and receives funding from the German Research Foundation (DFG) for 36 months. With its main focus on the current project the presentation will outline the further professionalization of re3data and the provision of reliable and individualizable descriptions of research data repositories. This includes updates and revisions of the metadata schema, the advancement of the technical infrastructure as well as an enhanced overall (technical) service model concept to embed and connect the service within the research data landscape as a community-driven source and reference for trustworthy repositories.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In addition, outcomes from the first re3data COREF stakeholder survey and workshop held in November 2020 will be presented, introducing diverse use cases of the re3data service and examples for the reuse of its metadata. The presentation will address how re3data currently interlinks with external parties and how more advanced options for easier and trustworthy integration of third-party information can be facilitated.&amp;lt;/p&amp;gt;
Foraminiferal Biostratigraphy of Well Z, OPL 310, Offshore Dahomey Basin, South-Western Nigeria

The sedimentary succession penetrated by the Well Z, OPL 310 Dahomey basin, South western Nigeria has been investigated for their microfaunal content. A total of fifty ditch cutting samples from the well were processed and analysed for foraminifera following the standard procedures. The result of the analysis revealed moderately rich and diverse macrofauna totalling a hundred and seven (107) species out of which sixty-five (65) are benthonic and forty-two (42) are planktonic foraminifera species. The sedimentological analysis of the samples revealed two (2) sedimentary sequences: a basal sandstone unit characteristically milky white, coarse to pebbly, sub-angular and poorly sorted with alternation of marine shale overlain by a dark grey, non-fissile shale wih glauconite pellets and mica flakes alternating with sandstone which shows that sediments belong to Oshosun and Afowo Formation respectively. Based on First Downhole Occurrences (FDO) and Last Downhole Occurrences (LDO) of the foraminiferal index forms, four planktonic foraminiferal zones and One benthonic zone corresponding to the P14, P18-P21, N9-N14, N16 and N17 of Blow (1969, 1979) were proposed for the well. The planktonic zones are Globorotalia opima opima Interval zone, Orbulina universa - Globorotalia mayeri Concurrent-range Zone, Globorotalia acostaensis Interval range Zone, Globorotalia plesiotumida Taxon range Zone and the benthonic foraminiferal zone proposed is Uvigerina hourqi Taxon range zone. These zones were used to delineate the sedimentary succession from Middle Eocene to Late Miocene age.
Upaya Peningkatan Hasil Belajar Siswa Mata Pelajaran Matematika Materi Pecahan Sederhana Dengan Metode Demonstrasi Dan Diskusi Pada Kelas III Semester Iidi Sekolah Dasar Negeri Kotakan Tahun Pelajaran 2019/2020

The background of this research is that students find it very difficult with geomery and measurement material in mathematics, because of that many students get low scores. This condition affects student achievement which is still low. Therefore, it is necessary to conduct research to improve the mindset of students in learning and improve student achievement in grade 3 SDN Kotakan Kec. Karanganyar, Demak Regency. This type of research conducted in this research is classroom action research. The focus of the research is efforts to improve students' abilities in completing assignments, namely math problems, geometry and measurement material. In Class 3 Students SD N Kotakan, Karanganyar District, Demak Regency. Data collection was carried out by conducting observations, tests, interviews, field notes, documentation. The data analysis used is qualitative data which is analyzed by collaborators. The results showed: (1) the implementation stages of using the experimental method can be carried out in accordance with the theory used. (2) when learning the teacher is more creative, so that students are more enthusiastic and feel happy. This can be seen in the increasing class average score. In the pre-test the class average value of 64, while the class average value at the end of the action cycle I was 66, the class average at the end of the action cycle II was 72. Then in cycle II the learning outcomes were said to be complete because the average already above KKM 70.
Library Guides: A Faculty Guide to Kanopy Streaming Video: Kanopy Method 2 - The Public Site

How faculty can find, request, and link to Kanopy streaming videos, and also check license expiration dates.
Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data.

When observing a phenomenon, severe cases or anomalies are often characterised by deviation from the expected data distribution. However, non-deviating data samples may also implicitly lead to severe outcomes. In the case of unsupervised severe weather detection, these data samples can lead to mispredictions, since the predictors of severe weather are often not directly observed as features. We posit that incorporating external or auxiliary information, such as the outcome of an external task or an observation, can improve the decision boundaries of an unsupervised detection algorithm. In this paper, we increase the effectiveness of a clustering method to detect cases of severe weather by learning augmented and linearly separable latent representations.We evaluate our solution against three individual cases of severe weather, namely windstorms, floods and tornado outbreaks.
Development of students’ research competences through educational and project activities

This article reveals the role of educational and project activities in developing students’ research competencies in modern educational process at university. Students’ productive development is possible only with their comprehensive training for these types of activities. Insufficient theoretical, methodological, and practical development of this problem in Kazakhstani science determined the relevance of this article’s topic. The analysis of the study of theoretical sources and practical experience allows us to conclude that students are insufficiently prepared for educational and project activities in developing research competencies. Most students do not comprehend the importance of developing research competencies in educational and project activities, having a relatively general understanding of them. Therefore they practically lack the relevant skills and abilities. The direction of further research is developing a methodology for the development of students’ research competencies in project and research activities within pedagogical and musical disciplines in the university educational process.
Prime numbers and random walks in a square grid

In recent years, computer simulations have played a fundamental role in unveiling some of the most intriguing features of prime numbers. In this paper, we define an algorithm for a deterministic walk through a two-dimensional grid, which we refer to as a prime walk. The walk is constructed from a sequence of steps dictated by and dependent on the sequence of the last digits of the primes. Despite the apparent randomness of this generating sequence, the resulting structure-in both two and three dimensions-created by the algorithm presents remarkable properties and regularities in its pattern, which we proceed to analyze in detail.
PERANAN RELAWAN BACA DALAM MENINGKATKAN LITERASI MASYARAKAT DESA LEMBANG LOHE KECAMATAN KAJANG KABUPATEN BULUKUMBA

This study aims to obtain information and knowledge based on data or facts that are valid, correct and reliable about the role of reading volunteers in improving community literacy. This research was conducted from June 2020 to August 2020 in Lembang Lohe Village, Kajang District, Bulukumba Regency. This research is a qualitative research. With data collection techniques used are observation, interviews, documentation, and literature. Researchers get research data from informants. The key informants of this research are the coordinator and facilitator who is also the manager of the Smart House. Meanwhile, the core informants were reading volunteers and community learning participants in Lembang Lohe Village, Kajang District, Bulukumba Regency. Based on the results of these field findings, reading volunteers have a series of programs to support their role in increasing the literacy of rural communities. The programs implemented in each activity have gradually increased interest in reading, writing and arithmetic. Starting from a sense of interest in books, a sense of pleasure in reading, a sense of need for reading, and an attitude of trying to find a reading. The programs that support the improvement of literacy in rural communities are studying every weekend, and a mobile library. Despite the many obstacles faced on their journey to improve the literacy of rural communities, reading volunteers are still active in carrying out their programs.
THE INFLUENCE OF SHARED READING STRATEGY TOWARDS STUDENTS’ READING ABILITY AT THE EIGHT CLASS OF SMP NEGERI 11 BANDAR LAMPUNG IN 2018/2019

The objective of this research were to know and describe whether there is positive influence of shared reading strategy towards students’ reading ability and to know whether the average score of students’ reading ability who learn reading through shared reading strategy is higher than those who learn reading through conventional strategy. In this research, the writer used quasi experimental design and the sampling of research was cluster random sampling. The samples are class VIII B as the experimental class which consists of 31 students and VIII C as the control class which consists of 29 students. While in collecting the data the writer used a test in the form multiple choice type. The data were analyzed by using formula. In this case, the result of  computation show that = 2.80 while the value of  is 0.05 = 2.00 and 0.01 = 2.66. In other words,  was higher than .Therefore, the alternative hypothesis () is accepted while null hypothesis () is rejected. It means that there is a significant influence of students’ reading ability between students taught by using Shared Reading Strategy than students taught by using conventional strategy. Besides, the writer found that the mean score of the experimental class was higher than control class. The mean score of the experimental class is 70 while the mean of the scores of control class is 62.67. Thus, the result of the research showed that shared reading strategy is effective to be applied in teaching reading.
Cybercrime and Law Enforcement

The advent of high-technology has had a profound impact on law enforcement personnel throughout the country. In 2018, there were more than four billion Internet users Worldwide. What is more, there was a 219% increase in Internet usage Worldwide between 2000-2018. The increase in Internet usage has caused concern for law enforcement at the Federal, state, and local levels. This study explored how local law enforcement agencies, within the United States, are addressing cybercrime. The discussion begins with a brief history of the development of the computer and the Internet and ends with a discussion about how law enforcement agencies are addressing the issue of cybercrime. In order to address this issue, this study is guided by the following research question, “Are law enforcement agencies addressing the issue of cybercrime?” This study found support for the research question. The findings also suggest that more training in the area of cybercrime and cyber-investigation is needed to reduce the incidence and prevalence of computer-related offenses.
LibGuides: Music Business Marketing: Books & eBooks

This guide provides resources and strategies for Marketing Concepts as they relate to the music business.
Inequalities and Quantum Entanglement: From the Cauchy-Schwarz Inequality to Non-linear Entanglement Witnesses

In this thesis, two topics are studied: mathematical inequalities and non-linear quantum entanglement witnesses. First, various inequalities, like the Cauchy-Schwarz inequality (on finite dimensional vector spaces) and Jensen's inequality, along with their extensions and generalisations, are proved and discussed. The intimate relationship between these inequalities is studied. Because this thesis was restricted to finite dimensional vector spaces, the consequences of generalising the results to infinite dimensional vector spaces are finally determined. Secondly, the topic of entanglement detection is discussed - specifically, non-linear entanglement witnesses are considered. A bipartite and multipartite entanglement criterion based on the previously discussed inequalities are introduced and assessed extensively by considering their optimality, how they relate to other criteria as well as their limitations.
The Efficiency of Higher Education and Training Economics in the Arab Gulf Countries in the Light of the Global Competitiveness Index (GCI) Standards (2010- 2018) - Comparative analytical study: كفاءة اقتصاديات التعليم العالي والتدريب في دول الخليج العربي في ضوء معايير مؤشر التنافسية العالمية (GCI) (2010 – 2018) - دراسة تحليلية مقارنة –

The study aimed to discuss Arab Gulf states in the global competitiveness index issued annually by the World Economic Forum during the period (2010- 2018) in terms of the economic efficiency index, and the efficiency factor of higher education and training economics. That is for the hypothesis claimed that there is an effect of the efficiency of higher education and training economics in Arab Gulf states on the economic efficiency considering global competitiveness index standards. The study analyzed the situation of each of Arab Gulf states (Saudi Arabia- Kuwait- United Arab Emirates- Oman- Bahrain- Qatar) in terms of the overall rate and ranking, and used first- degree mathematical equations with one, two and three variable to reach the result of the situation of Arab Gulf states regards the top-ranking countries and the backward ranking countries, whether in the economic efficiency or in the efficiency factor of higher education and training economics. The study used a mathematical equation to analyze the effect of the efficiency factor of higher education and training economics in Arab Gulf states on the economic efficiency, and came out with several results based on mathematical equations and economic aspects with regard to the efficiency factor of higher education and training economics in Arab Gulf states. The study found that the degree of impact of the efficiency factor of higher education and training economics on the economic efficiency in Arab Gulf states in light of global competitiveness index standards are considered medium to tend to rise, reaching (11.20%) out of (17%).
ONLINE LEARNING DURING COVID 19 PANDEMIC: HOW SELF-REGULATED LEARNING STRATEGIES AFFECT STUDENT ENGAGEMENT?

The coronavirus disease 19 (COVID-19) pandemic has many impacts in educational setting, such as switching learning process into online. Online learning is not easy in Indonesia due to inadequate facilities and students who are still not able to be independent learner. Thus, self-regulated learning strategies can help students to be more engaged in the online learning process. The purpose of this study was to determine students' involvement in distance learning process during the pandemic in terms of students' ability to self-regulate in learning. This study involved 521 participants who were active students in distance learning during the COVID-19 pandemic, consisting of 161 men and 360 women aged 18-21 years. The results showed a significant correlation between self-regulated learning and student engagement (r = .748, p = 0.000). The results of linear regression test obtained significant result F (df1, df2) = 659.20, p = .000). The regression coefficient R2 shows that self-regulated learning influenced 55.9% on student engagement, then 44.1% is influenced by other factors outside of self-regulated learning. In conclusion, this research shows significant effect of SRL on student engagement.
Prediction Analysis of Cancer Cells Using ML Classification Algorithms

Background: Breast Cancer is one of the most occurring cancers among all the diseases in medical science.About 1 in 8 women are suffering from breast cancer in their lifetime.In 2020, an estimated 276,480 new cases of invasive breast cancer are expected to be diagnosed in women along with 48,530 new cases of non-invasive breast cancer.Apart from women, men are also suffering from breast cancer, but the rate of occurrence is low in men.Aim: To classify the breast cancer cells from original mammographic images using processing steps of Gaussian smoothing, Threshold segmentation, Feature Extraction. Methodology: Breast cancer datasets are collected and preprocessed using attributes-like Menopause, Node-Capes, INV Nodes, Irradiate and Class.Three Machine Learning classifiers such as Bagging, Naive Bayes, and Naive Bayes Multinomial are applied for the classification analysis.Results: Bagging classifier gives efficiency in the range of 77-86% when we consider Menopause, Node-Capes and Irradiate attributes and Naive Bayes classifier gives efficiency in the range of 71-78% for INV-Nodes and Class attributes.Conclusion: It is observed that the bagging classifier gives best efficiency when we consider Menopause, Node-Capes and Irradiate attributes and Naive Bayes is best suits for INV-Nodes and Class attributes.
Internet projects in the formation of professional competences in students

The purpose of the article was to carry out an analysis of the experience of implementing Internet projects in the formation of the professional competence of students. The study involved 154 students aged 20 to 23 years. The article reveals the scale of general self-efficacy of R. Schwarzer and M. Erusalem and the Karpov reflexivity questionnaire as methods that allow determining the student's ability to independently navigate in conditions of uncertainty and solve professional problems, correct their actions to achieve the best result. The effectiveness of the Internet design of students of higher educational institutions was calculated as a percentage of the maximum possible result.
LibGuides: OPEN FL: FL Guides and Resources

Guide for the open and affordable learning community of Florida, OPEN FL. Florida institutional Libguides and websites with information on OER.
Segmentation and analysis of Pap smear microscopic images using the K-means and J48 algorithms

A Pap smear is used to early detection cervical cancer. This study proposes the segmentation and analysis method of Pap smear cells images using the K-means algorithm so that cytoplasmic cells, nuclear cells, and inflammatory cells can be segmented automatically. The results of the feature analysis from the cytoplasmic, nuclear, and inflammatory cell images were classified using the J48 algorithm with 37 training data. The training resulted in an accuracy of 94.594 %, precision of 95 %, and sensitivity of 94.6 %. The classification of 24 testing images resulted in an accuracy of 91.6%, a precision of 92.5 %, and a sensitivity of 91.7 %.
HSE Library Guides: Introduction to HSE Library Services: OpenAthens

Introduction to HSE Library Services What is OpenAthens; where to start setting up your OpenAthens account from the HSE Library homepage; pdf guide; short video tutorial
Evaluasi Situs Web Menggunakan Website Accessibility Conformance Evaluation Methodology (WCAG-EM) 2.0 pada Situs-Situs E-Commerce di Indonesia

E-Commerce website in Indonesia have grown rapidly. Accessibility test on these kind of website have not been done, this trigger the question, Are disable people capable of using these website to raise their economic. This study is done by using WCAG 2.0 framework to two of the biggest emarketplace website on Indonesia. Bukalapak and Tokopedia. The result those website have shown that there were very low accesibility score between those website.
VISUALIZATION TECHNOLOGIES IN THE TEACHING PROFESSIONAL DISCIPLINES' PROCESS

The article considers the using video materials’ problem in the professional training of future engineers-teachers, in particular, the visualization of didactic materials in the professional training of future specialists in computer technology. It is proved that it is necessary to change the paradigm of teaching computer disciplines in the context of didactic materials’ visualization as a basis for material abstraction. It is established that teaching computer disciplines is carried out in a very variable subject area and a large number of different methods and tools. One of the main principles of student learning is a high level of educational material abstraction. The classical methods of teaching the discipline "Content Management Systems" are considered, which provide a lecture-practical form of teaching with mostly textual didactic materials It is proved that classical teaching methods have a low level of abstraction compared to the video materials using. It is shown that the quality and efficiency of the educational process improve due to the using video materials' technical advantages. Such advantages include speed, maneuverability, efficiency, ability to view and listen to fragments and other multimedia functions; didactic – interactivity (creating the effect of presence, authenticity, the reality of events, interest, desire to learn, and see more). The didactic bases of video materials application in teaching students of content management systems are determined. Video materials have been developed for students to use content management systems and introduced into the training of future engineers-teachers. It is established that the educational videos using has significant potential, increases the efficiency of education, and guarantees quality professional training of students. Key words: higher education, professional training, future engineers-teachers, information technologies, content management systems, video materials.