Reviewerly/exHarmony huggingface dataset:
A Study on the Possibility of Applying National Competency Standards for Software Education

Background/Objectives: In this study suggests that the NCS-based curriculum is applied to secondary and tertiary education such as universities, colleges, vocational schools, and specialized high schools.Methods/Statistical analysis: In this study, a qualitative research and analysis method was used for the application method and application cases for software education based on the NCS information and communication field system under development.Findings: Presenting the necessity of reforming information education centering on software education, the source of national competitiveness for fostering creative talents who will lead students' dreams and meals and lead the era of happiness education and creative economy through 'Primary and Secondary Software Education Promotion Plan' Was intended.Improvements/Applications: In order to prepare educational indicators of knowledge, skills, and attitudes leading to competency, a mid-to-longterm standard development plan has been established between the Ministry of Education and the Ministry of Employment and Labor from 2010 to 2014.
Integritet och skadestånd : Om skyddet för personuppgifter och privatliv i svensk rätt

How can tort law help protect privacy in the digital age? This central issue is examined from different perspectives throughout the thesis, with an emphasis on personal information (also called inf ...
Prediksi Mahasiswa Berpotensi Berhenti Kuliah Secara Sepihak Menggunakan Data Mining Algoritma C4.5

Students are a call to a student who has sat in college; there are many reasons why students decide to stop taking one-sidedly lectures which result in many losses that will be experienced by the campus, starting from reduced campus quantities and campus quality, adding to the accumulation of unclear student data and will cause and slow down the campus reporting performance. Hence, it is necessary to predict students who have the potential to stop studying unilaterally by looking at several criteria and digging up information on potential student data by applying data mining science and approaching one of the classification approach algorithms, namely the C4.5 algorithm; the results obtained from the study can see the predictive rule of students who have the potential to unilaterally quit college.
The CLASSLA-StanfordNLP model for morphosyntactic annotation of non-standard Croatian 1.0

This model for morphosyntactic annotation of non-standard Croatian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the hr500k training corpus (http://hdl.handle.net/11356/1210), the ReLDI-NormTagNER-hr corpus (http://hdl.handle.net/11356/1241), the RAPUT corpus (https://www.aclweb.org/anthology/L16-1513/) and the ReLDI-NormTagNER-sr corpus (http://hdl.handle.net/11356/1240), using the CLARIN.SI-embed.hr word embeddings (http://hdl.handle.net/11356/1205). These corpora were additionally augmented for handling missing diacritics by repeating parts of the corpora with diacritics removed. The model produces simultaneously UPOS, FEATS and XPOS (MULTEXT-East) labels. The estimated F1 of the XPOS annotations is ~95.11.
Seo Hang-seok’s Pro-Japanese Activities and the Mislabeling of Local Music Drama

This paper aims to examine the cultural geography of late Japanese occupation period, in which Seo Hang-seok, who followed the lineage of New Drama Movement through Theatre Art Research Group and Hyundai Theatre Company, threw himself in Music Drama and achieved ‘success.’ In particular, as Korea went through the problematic period of 1940s and 1970s, certain works and performances that have the room for being interpreted as Pro-Japanese were labeled the ‘Local Music Drama’ in the 1970s and gained a certain position in the history of performing arts. In this process, the duality of its ‘success’ will be revealed.BR I will also assert that naming of the genre as ‘Local Music Drama’ is a misleading one. Pak Yong-gu’s mislabeling of this genre as Local Music Drama, which was never mentioned in its time, is something unrelated to the localism, Orientalism, or nation (minjok) that was formed in the colonial discourse, which is associated with the imperial Japan’s Japanization strategy. It is a case of arbitrary appropriation that was first mentioned by Bak Yong-gu in the 1970s. Since then, the name has often been brought up by the scholars of performing arts in the hope of moving up the origin of Korean Music Drama (musical) to earlier years based on its name. While questions are being raised about the origin of the term, Local Music Drama, as the signifier, Local Music Drama keeps being mentioned by the scholars, it ends up creating the effect of reality. A thorough review and reflection of this historical process is needed. This paper attempts to access and reevaluate Seo Hang-seok’s 1940s’ activities in Music Drama, and other contemporary materials that are scarcely left and have been unnoticed thus far.
Contribution of continuous waveform processing to induced seismicity realtime monitoring during geothermal stimulation at Geldinganes, Iceland.

&amp;lt;p&amp;gt;At Geldinganes Island, Reykjavik, Iceland a hydraulic stimulation was recently&amp;amp;#160;conducted to enhance the productivity of an existing hydrothermal well. An&amp;amp;#160;experimental cyclic soft stimulation concept was applied. Seismic risk was&amp;amp;#160;assessed with an appropriate monitoring network which was set up and operated&amp;amp;#160;before, during, and for some time after the stimulation activities. An advanced&amp;amp;#160;traffic light system was developed and operated for the first time in this&amp;amp;#160;setup.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A crucial element in such traffic light systems is the real-time monitoring of&amp;amp;#160;background and induced seismicity. During the experiment, real-time seismograms&amp;amp;#160;from the monitoring network were streamed over the internet to three different&amp;amp;#160;institutions (ISOR, ETHZ and GFZ), where they were analysed independently, with&amp;amp;#160;different combinations and setups of automatic, semi-automatic and manual&amp;amp;#160;methods. Both, classic pick based approaches and modern full-waveform methods&amp;amp;#160;were applied. Locations, magnitudes, and centroid moment tensor solutions were&amp;amp;#160;determined.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Many things can go wrong in real-time or near-real-time processing of seismic&amp;amp;#160;data. Sensor failures, transmission failures, timing issues, processing&amp;amp;#160;hardware failures, computational limitations, software bugs and human error,&amp;amp;#160;just to name a few. In a temporary network the challenges are additionally&amp;amp;#160;salted by the need to validate sensor responses, orientations, gain factors and&amp;amp;#160;site conditions in a short time frame between station setup and beginning of&amp;amp;#160;the experiment. Furthermore, tuning of advanced analysis methods can be&amp;amp;#160;difficult without example events at hand.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this contribution, we would like to share our lessons learned in&amp;amp;#160;near-real-time processing of data from a heterogeneous temporary seismic&amp;amp;#160;network.&amp;amp;#160;&amp;lt;/p&amp;gt;
Analisis Performansi Proses Migrasi Dengan Metode Self Healing Dan Scheduling Pada Container Orchestration

Abstrak Cloud computing merupakan sebuah teknologi yang menjadikan internet sebagai pusat pengelolaan data dan aplikasi. Teknologi ini sudah sangat banyak digunakan dalam sebuah perusahaan untuk membuat sistem dan menjalankan bisnis mereka. Cloud computing yang memiliki arsitektur container akan menampung semua layanan dalam satu sistem. Jika suatu saat sistem tersebut mengalami masalah seperti system down maka semua layanan pada sistem tersebut tidak dapat diakses, otomatis pengguna atau perusahaan tidak dapat melakukan kegiatannya. Oleh karena itu dibutuhkan solusi untuk mengatasi masalah tersebut yaitu dengan proses memindahkan suatu layanan dari satu sistem ke sistem yang lain, proses ini disebut migrasi, dan dengan menggunakan container orchestration solusi tersebut dapat berjalan dengan cepat karena dalam container orchestration terdapat controller yang memungkinkan perpindahan layanan dari satu container ke container yang lain. Proses migrasi di container orchestration akan dilakukan dengan menggunakan metode Self Healing. Metode ini yang akan membantu proses migrasi dalam container orchestration. Penelitian ini bertujuan untuk membandingkan container orchestration mana yang lebih cepat dalam proses migrasi. Melalui pengujian sebanyak sepuluh kali dapat disimpulkan bahwa Kubernetes lebih cepat dalam menjalankan proses migrasi dengan metode self healing. Kata kunci : Cloud Computing, Container Orchestration, Kubernetes ,DockerSwarm, Migration, Self Healing Abstract Cloud computing is a technology that makes the internet the center of data and application management. This technology has been very widely used in a company to create systems and run their business. Cloud computing which has a container architecture will hold all services in one system. If one day the system experiences problems such as system down, all services on the system cannot be accessed, the user or company automatically cannot perform its activities. Therefore we need a solution to overcome these problems, namely by the process of moving a service from one cloud system to another, this process is called migration, and by using container orchestration the solution can run quickly because in the container orchestration there is a controller that allows movement services from one cloud system to another. The migration process in the container orchestration will be carried out using the Self Healing method. This method will help the migration process in container orchestration. This study aims to compare which container orchestration is faster in the migration process. Through testing as much as ten times it can be concluded that Kubernetes is faster in carrying out the migration process with the self healing method. Keywords: Cloud Computing, Container Orchestration, Kubernetes, Dowcker Swarm, Migration, Self Healing
Time-frequency analysis of reactor neutron noise under bubble disturbance and control rod vibration

Time-frequency analysis technique is an effective analysis tool for non-stationary processes. In the field of reactor neutron noise, the time-frequency analysis method has not been thoroughly researched and widely used. This work has studied the time-frequency analysis of the reactor neutron noise experimental signals under bubble disturbance and control rod vibration. First, an experimental platform was established, and it could be employed to reactor neutron noise experiment and data acquisition. Secondly, two types of reactor neutron noise experiments were performed, and valid experimental data was obtained. Finally, time-frequency analysis was conducted on the experimental data, and effective analysis results were obtained in the low-frequency part. Through this work, it can be concluded that the time-frequency analysis technique can effectively investigate the core dynamics behavior and deepen the identification of the unstable core process.
Peningkatan Hasil Belajar IPA Materi Ciri-ciri Khusus Makhluk Hidup Melalui Penerapan Puzzle Picture Game Pada Siswa Sekolah Dasar

This research aims to improve the learning outcomes of 6th  Grade students of Public Elementery School 01 Mukomuko City through puzzle pictured games in the material of special characteristics of living things. The collaboration or discussion activities carried out in the first cycle are still dominated by a number of students. Students who appear to speak to that and students who are at the lower level are still shy to express their opinions. While in the second cycle students become more active, motivated, more challenged to learn, positive attitudes appear and less negative attitudes. Students are more often actively involved in drawing up puzzles, interacting with group friends and caring about their friends, active in class discussions and diligently reading sourcebooks to solve questions in the student worksheets. The final test results of learning in the initial conditions before being given an action only reached an average value of 56.25 with only 29.2% (7 students) completing the minimum criteria. At the end of the first cycle learning test, there was an increase in the average value of students 68.75 with mastery learning by 70.8% (17 students). This means that 7 students have not yet reached the minimum criteria that have been set ie 70.00. Therefore researchers need to continue the second cycle by improving the learning process in accordance with the results of the reflection of the first cycle of activities. In the second cycle, the average value of students has reached 85.4 shows that the learning process of the second cycle has shown a very sharp improvement, where mastery learning achieved even exceeding the target set. All this is caused by the involvement and seriousness of students in discussions getting higher.
LibGuides: Guide to Online Sources: Reference sources

Even in the best of times so much of our lives is online, this includes research! This LibGuide will lead you to great places to find all types of sources online. This is a guide to where you can find the best encyclopedias to get you started on your research. Encyclopedias will not always have the word encyclopedia in the title and they should never be the main source for your research.
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies.

Multimodal image registration is a very challenging problem for deep learning approaches. Most current work focuses on either supervised learning that requires labelled training scans and may yield models that bias towards annotated structures or unsupervised approaches that are based on hand-crafted similarity metrics and may therefore not outperform their classical non-trained counterparts. We believe that unsupervised domain adaptation can be beneficial in overcoming the current limitations for multimodal registration, where good metrics are hard to define. Domain adaptation has so far been mainly limited to classification problems. We propose the first use of unsupervised domain adaptation for discrete multimodal registration. Based on a source domain for which quantised displacement labels are available as supervision, we transfer the output distribution of the network to better resemble the target domain (other modality) using classifier discrepancies. To improve upon the sliced Wasserstein metric for 2D histograms, we present a novel approximation that projects predictions into 1D and computes the L1 distance of their cumulative sums. Our proof-of-concept demonstrates the applicability of domain transfer from mono- to multimodal (multi-contrast) 2D registration of canine MRI scans and improves the registration accuracy from 33% (using sliced Wasserstein) to 44%.
Bharati Mukherjee’s Wife: A Psychological Aspects

The story of Wife begins with Dimple Dasgupta, a young girl who like all other Indian girls, wants to marry of her dream hero. Her parents were very much hurried and worried about her marriage. They were looking for an engineer because Mr. Dasgupta was an electrical engineer and his neighbours were also engineers, but Dimple wanted to marry a neurosurgeon. Dimple has a belief that marriage bring us freedom, love and big parties so she wishes to get married soon. To make her body slim, beautiful, fit and fair she starts using cosmetics. First Mrs. Dasgupta was not much worried about her marriage but when Dimple got sick, her mother found that her sickness symbolises that now her body has been prepared for marriage. As Dimple was student, she was preparing herself for the university exam. But she got the rumour by her best friend Paramita Ray that the university exam had been postponed. Everyone likes to call Paramita Ray as Pixie. She was very fond of novels, films and magazines. She believed that, “Love had to be more than films stats holding hands on a tear- stained page.”
Development of a multi-agent system for solving domain dictionary construction problem

The object of research is the use of multi-agent systems for text data mining. The need for this study arose with a tendency to increase the amount of textual information generated in the world. Accordingly, it is necessary to develop and research methods of its processing, as well as ways to use the results of this processing, because the methods can’t exist in isolation from practice. At the same time, there is a development of multi-agent systems (MAS), where agents are endowed with some kind of intelligence, these systems can be easily scaled. The use of MAS for text analysis is a promising area.The following methods of text data analysis were used in this study: TF-IDF and RAKE methods, Word2Vec neural network models, and TextRank. The algorithms were compared for their work and the results were compared. The corpus of documents (10–12 texts, 5732–12331 words) from the subject areas of physics and biology were used as a test set. According to the results of the study, one method was chosen, on the basis of which the MAS was built to solve the problem. Additionally, Schulze methods (with one and several winners) were used for voting. With the received system additional researches concerning accuracy and speed of work, and also – influence are carried out system parameters for its operation.It has been found that TF-IDF-based analysis is useful for finding terms in documents with a weak context. The resulting system shows an accuracy of 75 % (3 of the 4 words proposed by the system are terms). The maximum operating time on test cases is 2–3 seconds, which is achieved through the use of parallel calculations and modification of the Schulze method. The results obtained in this paper are heuristic (ontology is a rather vague concept) and require additional elaboration by experts in the relevant fields. However, the results are positive within this experiment
Identifying of Practice for School Principals to Administrative Transparency from Teachers Perspectives

The study aimed to identify the practice of school principals for administrative transparency and from the viewpoint of female teachers, the study followed the analytical descriptive approach and applied the questionnaire was identified as a tool for data collection, the sample of which (138) was a teacher of government schools in the Beni Obeid distract and the Northern Mazar In the governorate of Irbid, in Hashemite Kingdom of Jordan. The results showed that the degree to which school managers exercise administrative transparency from the viewpoint of female teachers has been high, and the highest factors have come; legislation and regulations, followed by the factor of labour procedures and mechanisms and, finally, the factor of performance appraisal; All of them were highly significant. The results also showed statistically significant differences between the mean of the participants ' responses to the degree to which school managers exercise administrative transparency and all factors (legislation and regulations, procedures and mechanisms of work, performance evaluation) and the overall degree depending on the stage variable, in the interest of the basic stage. While there are no statistically significant differences according to the scientific qualification variable; years of experience. The main recommendations of the study were the annual motivational prize offered by the Ministry of Education to school principals, practices of administrative transparency, the education directorates have been activated for educational meetings among school leaders to share their experiences in the exercise of administrative transparency. هدفت الدراسة إلى التعرف على واقع ممارسة مديرات المدارس للشفافية الإدارية ومن وجهة نظر المعلمات، اتبعت الدراسة المنهج الوصفي التحليلي، وطبقت الاستبانة كأداة لجمع البيانات، وتكونت عينة الدراسة من (138) معلمة من معلمات المدارس الحكومية في لواء بني عبيد والمزار الشمالي في محافظة إربد بالمملكة الأردنية الهاشمية. أظهرت النتائج أن درجة ممارسة مديرات المدارس للشفافية الإدارية ومن وجهة نظر المعلمات جاءت بدرجة مرتفعة، وجاء أعلى المجالات؛ مجال التشريعات واللوائح، تلاه مجال إجراءات وآليات العمل، وأخيرًا مجال تقييم الأداء؛ وجميعها جاءت بدرجة مرتفعة. كما أظهرت النتائج وجود فروق ذات دلالة إحصائية بين المتوسطات الحسابية لاستجابات المشاركات بالدراسة لدرجة ممارسة مديرات المدارس للشفافية الإدارية ولجميع المجالات (التشريعات واللوائح، إجراءات وآليات العمل، تقييم الأداء) والدرجة الكلية تبعًا لمتغير المرحلة الدراسية؛ ولصالح المرحلة الأساسية. بينما لا توجد فروق ذات دلالة إحصائية تبعًا لمتغير المؤهل العلمي؛ وسنوات الخبرة. وجاءت أبرز توصيات الدراسة تخصيص جائزة سنوية تحفيزية تقدمها وزارة التربية والتعليم لمديرات المدارس الممارسات للشفافية الإدارية، وتفعيل مديريات التربية والتعليم للقاءات التربوية بين قائدات المدارس ليتبادلن خبراتهن في ممارسة الشفافية الإدارية.
LibGuides: How to Be Smart and Get Stuff Done: Home

This guide is for students who need help making the most of their asynchronous time and maximizing independent learning
Technical Fundamentals of Blockchain Systems

This work provides a short but technical introduction to the main building blocks of a blockchain. It argues that a blockchain is not a revolutionary technology but rather a clever combination of three fields: cryptography, decentralization and game theory. In addition, it summaries the differences between a public, private and federate blockchain model and the two prominent consensus mechanism Proof-of-Work (POW) and Proof-of-Stake (POS).