Reviewerly/exHarmony huggingface dataset:
THE ABILITY OF THE SECOND YEAR STUDENTS OF SMP KATOLIK TRISAKTI 1 MEDAN IN USING VERB BE

Grammar is a description of certain organizing aspects of a written particular language. One of the grammar topic is verb BE. Verb BE is important in English Grammar, BE is the one of the elementary and earlier phases of subject verb agreement. The purpose of this research was to describe the ability of the second year students in using verb BE. This research was descriptive research. The population of this research was the second year students were take as a sample, and totals 40 students. The instrument of collecting data was a test concerning verb BE. The try out test was done in order to know the validity, reliability, item difficulty and power discrimination of test items. The result showed that 9 students (22.50%) belong to high category, 28 students (70%) to moderate category, and 3 students (7.50%) to low category. The mean score was 65.10 it was only 30% of the total students who can do the test well with 12 students who get score above 70. It means that the second year students at SMP Katolik Trisakti 1 Medan are not yet able to use the verb BE. Some students do not understand the rule of verb BE, how to apply it in sentences because there were a lot of rules and exception in verb BE. The students also had some difficulties in using verb BE. The students did not know the form of some tenses such as simple present tense, simple past tense etc. Based on the total incorrect answers made by the students in each tense was 349. The percentage studentsÂ mistakes made using verb Be in Present Tense was 28.57%, and the percentage students mistakes made using verb Be in Past Tense was 11.46%, So the most mistakes made by the second year students in using verb Be was in present tense, the percentage was 28.57%. Thus, the students are suggested to study more the lesson of verb BE and to do the assignments well. The teacher also expected to give explanation of the materials of verb BE crearly
Toward Metrics for Differentiating Out-of-Distribution Sets

Vanilla CNNs, as uncalibrated classifiers, suffer from classifying out-of-distribution (OOD) samples nearly as confidently as in-distribution samples. To tackle this challenge, some recent works have demonstrated the gains of leveraging available OOD sets for training end-to-end calibrated CNNs. However, a critical question remains unanswered in these works: how to differentiate OOD sets for selecting the most effective one(s) that induce training such CNNs with high detection rates on unseen OOD sets? To address this pivotal question, we provide a criterion based on generalization errors of Augmented-CNN, a vanilla CNN with an added extra class employed for rejection, on in-distribution and unseen OOD sets. However, selecting the most effective OOD set by directly optimizing this criterion incurs a huge computational cost. Instead, we propose three novel computationally-efficient metrics for differentiating between OOD sets according to their level of in-distribution sub-manifolds. We empirically verify that the most protective OOD sets -- selected according to our metrics -- lead to A-CNNs with significantly lower generalization errors than the A-CNNs trained on the least protective ones. We also empirically show the effectiveness of a protective OOD set for training well-generalized confidence-calibrated vanilla CNNs. These results confirm that 1) all OOD sets are not equally effective for training well-performing end-to-end models (i.e., A-CNNs and calibrated CNNs) for OOD detection tasks and 2) the protection level of OOD sets is a viable factor for recognizing the most effective one. Finally, across the image classification tasks, we exhibit A-CNN trained on the most protective OOD set can also detect black-box FGS adversarial examples as their distance (measured by our metrics) is becoming larger from the protected sub-manifolds.
Evaluasi Tingkat Keterpakaian Koleksi Perpustakaan di Dinas Perpustakaan dan Kearsipan Kota Padang Panjang

AbstractThis paper discusses the evaluation of the level of use of library collections in the Padang Panjang Library and Archives Service. The purpose of using this paper is: (1) to describe the compatibility of the use of collections in the Padang Panjang Municipal Library and Archives Service; (2) describe the frequency of use of the library collection; (3) describes the number of collections used by the library.The research method used in testing this final paper is descriptive method. Data collection is done through a process of observation and interviews.The discussion in this paper is calculated from January 2018 to June 2019. The first indicator is to describe the intensity of the use of collections. The number of collections described as a comparison for collections used. The number of collections purchased was 5,257 copies or 27.38% of the 19,197 collections available. And for unused collections, 13,940 copies or 72.62% of the total collection. Based on the number of uses of the collection, only ¼ collections are used and used by users. The second indicator is the frequency of use of collections which are described based on frequency graphs per class. The results of using the graph can be seen the level of usage of the collection per month. For the class with the most collections, the class is 800 with 2,246 copies and the lowest class is 700 with 97 copies. The last indicator is the number of collections used based on the criteria of the year published and the name of the publisher. For the year published from 2015 to 2018 the number of collections used was 1,270 while the publisher's name was approved 5,246 copies. Both of these criteria also oppose the level of use of collections in libraries because these collections are more often used and known by users. Keywords: Usability, collection, amount.
THE EFFECT OF VOCABULARY MASTERY ON THE POETRY WRITING SKILLS

This study aims to determine the effect of vocabulary mastery on poetry writing skills. The method used is correlational quantitative research. The population in this study was class X of SMA Negeri 2 Palopo, while the sample was 176 students. Data collection was conducted using a test instrument, and then the data obtained in this study were analyzed using SPSS V.20 . Based on the results of descriptive statistical calculations with the help of SPSS, it was found that the vocabulary mastery variable had an average value of 68.77, a standard deviation value of 5.416, a median value of 69, and a mode value of 67. From the 176 students, the lowest value was 52 as many as 1 person, with a percentage of 0.6%, while the highest value is 84 as many as 1 person with a percentage of 0.60%. Based on the results of these calculations, the level of mastery of student vocabulary is high, which is 81.86%. Furthermore, the results of data analysis and statistical calculations found the results of this study, namely, there is a correlation between mastery of vocabulary (X) on poetry writing skills (Y) which is 19.9%. How to conduct and determine the assessment on the poetry writing is also discussed.vocabulary mastery
LibGuides: Information Literacy for Children: Home

This is a resource for teachers and librarians to find information on teaching Information Literacy to children.
Droit d'auteur reform: an insider tale from the European Parliament

After two and a half years of intense discussion the EU introduced a droit d'auteur reform in light of the opportunities and challenges of digital revolution. The reform was necessary: the old 2000 directive considered Internet service providers as passive hosting, exempting them from copyright rules and other responsibilities, while they actually rake a huge share of European advertising markets. European Court of Justice and national courts highlighted in many occasions the need for greater legal clarity in the distinction of passive and active hosting actions for these commercial actors. Around this issue European political groups and national governments showed strong divisions, with the consequence of a difficult (but successful) negotiation. These pages contain a tale of this process and show that the opposing views did not reproduce traditional political boundaries but new fractures arising from different judgements about the value of competition and the role of technological progress, that hit in particular the Socialists & Democrats group. The final step arrived in March 2019 with a Parliament approval that confirms in Europe the rule of law and the democratic and authoritative response of EU institutions in front of the risks rising from new global monopolies and in defence of cultural diversity and pluralism.
PENINGKATAN PENGETAHUAN DAN KETERAMPILAN MENULIS CERITA FANTASI SISWA MTs MELALUI PENDEKATAN INDUKTIF

This research is a quasi-experimental research which aims to examine the knowledge and skills of writing fantasy stories between MTs students who use the Inductive approach with ordinary learning. Researchers accept the condition of the subject as it is. In instrument trial calculations and data processing using Microsoft Excel and SPSS 24 programs. The results showed: (1) The knowledge ability of writing fantasy stories of MTs students whose learning uses an inductive approach is better than those using ordinary learning with an average of 66.98 (experimental class) and 51.40 (control class); (2) The ability of MTs students to write fantasy stories whose learning uses the inductive approach is better than those who use ordinary learning with an average of 74.30 (experimental class) and 53.60 (control class); (3) There is a very strong association between knowledge skills and fantasy story writing skills with a Q value of 0.80; (4) The difficulties experienced by students in completing questions and practical assignments in writing fantasy story texts were generally in the indicators of improving fantasy stories in terms of diction, dialogue sentences, and punctuation errors.
Device classification based data encryption for internet of things

The internet of things (IoT) has gained much popularity and has become an essential topic of research, because of its vast implementations. It has emerged as a field of great potential, impact, and growth. Despite its privacy concerns and security issues, it still is growing in demand for large-scale deployment. In this paper, we propose class-specific data encryption techniques for heterogeneous IoT devices. Devices are classified based on their computational and communication capabilities. Accordingly, different schemes for data encryption/decryption are proposed at different levels of interconnection across devices of different classes. The classification makes it easy to develop, study, and analyse the behaviour of the devices, as the devices of the same class have similar properties and performance. It also helps to develop standards of security protocols, policies, and frameworks based on the device class. Simulation experiments reveal significant improvements in the solution of encryption techniques for given scenarios.
PENERAPAN REWARD UNTUK MENINGKATKAN PRESTASI BELAJAR SISWA

This study discusses the application of reward in the learning process in order to improve the learning achievement of students of accounting class X in SMK Negeri 1 Ciruas on economic and business subjects aiming to find out how the application of rewards in learning to improve learning achievement. Learning treatment in the form of reward giving is one type of approach in the process of teaching and learning activities that can provide stimulus to students to be more academically achievers in economics and business subjects. Academic achievement is the cognitive ability that begins with enthusiasm and the emergence of student enthusiasm in dealing with the process of teaching and learning activities.This research was conducted at SMK Negeri 1 Ciruas- Serang Banten. The research method used is Classroom Action Research with a qualitative approach. The sample of this study were all students of class X accounting SMK Negeri 1 Ciruas as many as 36 students.The results of this study indicate that there is an increase in learning achievement in economic and business subjects by using a learning approach with the application of rewards in class X Accounting students in SMK Negeri 1 Ciruas .This is evidenced by an increase in learning achievement in economics and business subjects by using a learning approach with the application of rewards in class X Accounting students in SMK Negeri 1 Ciruas. This is evidenced by an increase in the number of students who passed the Minimum completeness criteria by 28 people or 77.78%.
Factors For The Development Of Writing Skills Of Law Students In A Modular System

Teaching and learning law consists not only of learning all theoretical rules and skills, but also in the acquisition of communicative skills. Accordingly, the purpose of this article is to demonstrate how to promote writing skills in higher education especially law students in modular system. Furthermore, factor of communicative competence is a term that is necessary and much more practical in teaching and learning law direction than in other areas of competence.&#x0D; If we look at the historical background of this term, communicative skills is a term in linguistics that refers to the grammatical knowledge of syntax, morphology, phonology and the like of a language user, as well as to social knowledge of how and how.
A Decentralized System for Medical Data Management via Blockchain

With the rapid advance of data science, massive medical data are managed in data centers which may cause surveillance and security issues. This calls for building a secure data management system. In this paper, we propose a decentralized system for medical data management, to address the challenge of data privacy protection during data sharing between network nodes, leveraging the blockchain technology. We propose protocols to achieve this and normalize data format recorded on the blockchain. The entities of our system include users, contributing data; edge data hub (EDH) nodes, used for storing users’ data (an EDH stores one user’s data and is controlled by the corresponding user); service nodes, with the ability to analyze user data and customers that need the analysis of the data. To protect data privacy in the EDH, we use a secure computing platform (SCP) to process data. Furthermore, data request from a service with high credibility is more likely to be permitted by the EDH. Data authenticity is guaranteed by checking the hash value recorded on the blockchain. Moreover, we reduce the off-blockchain storage space leveraging the data sparsity. Our system thus enables data sharing, authenticity, privacy protection and storage space reduction, shedding lights on building a developable and secure data-driven world.
Popularity Agnostic Evaluation of Knowledge Graph Embeddings

In this paper, we show that the distribution of entities and relations in common knowledge graphs is highly skewed, with some entities and relations being much more popular than the rest. We show that while knowledge graph embedding models give state-of-the-art performance in many relational learning tasks such as link prediction, current evaluation metrics like hits@k and mrr are biased towards popular entities and relations. We propose two new evaluation metrics, strat-hits@k and strat-mrr, which are unbiased estimators of the true hits@k and mrr when the items follow a power-law distribution. Our new metrics are generalizations of hits@k and mrr that take into account the popularity of the entities and relations in the data, with a tuning parameter determining how much emphasis the metric places on popular vs. unpopular items. Using our metrics, we run experiments on benchmark datasets to show that the performance of embedding models degrades as the popularity of the entities and relations decreases, and that current reported results overestimate the performance of these models by magnifying their accuracy on popular items.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEGAWAI PENERIMA REWARD MENGGUNAKAN PENDEKATAN TOPSIS

The provision of employee reward for the best performance and achievement of duty is required to do by the organization/institution as the form of recognition and appreciation for the employees and as part of the organizational goal achievement process. This research aimed to develop a decision support system (SPK)) using TOPSIS method with PHP programming language and MySQL database to choose employees receiving rewards in Universitas Serang Raya. The data used derived from 2 groups namely educational employees consisting of lecturers and non-educational ones consisting of official employees. The criteria applied in the educational employees are 10 that are length of employment, dp3 value, percentage value of work attendance, percentage value of the lecturing attendance, value of the lecturer’s functional position, value of research deeds , value of community devotion , value of the questionnaire result by students, value of employment status, and value of sanctions. The criteria applied in the non educational employees are 5 that are length of employment, dp3 value, percentage value of work attendance, value of employment status, and value of sanctions. The result of this research is an information system program as a support decision tool for choosing employees receiving rewards
A software framework for optimizing the design of spaceborne hyperspectral imager architectures

&amp;lt;p&amp;gt;Quantifying the capacity, and uncertainty, of proposed spaceborne hyperspectral imagers to retrieve atmospheric and surface state information is necessary to optimize future satellite architectures for their science value. Given the vast potential joint trade-and-environment-space, modeling key &amp;amp;#8216;globally representative&amp;amp;#8217; points in this &amp;lt;em&amp;gt;n&amp;lt;/em&amp;gt;-dimensional space is a practical solution for improving computational tractability. Given guidance from policy instruments such as the NASA Decadal Survey and the recommended Designated Target Observables, or DOs, the downselect process can be viewed as a constrained multi-objective optimization. The need to simulate imager architecture performance to achieve downselect goals has motivated the development of new mathematical models for estimating radiometric and retrieval uncertainties provided conditions analogous to real-world environments. The goals can be met with recent advances that integrate mature atmospheric inversion approaches such as Optimal Estimation (OE) that includes joint atmospheric-surface state estimation (Thompson et al. 2018) and the EnMAP end-to-end simulation tool, EeteS (Segl et al. 2012), which utilizes OE for inversions. While surface-reflectance and retrieval simulation models are normally run in isolation on local computing environments, we extend tools to enable uncertainty quantification into new representative environments and thereby increase robustness of the downselect process by providing an advanced simulation model to the broader hyperspectral imaging community in software-as-a-service (SaaS). Here, we describe and demonstrate our instrument modeling web service and corresponding hyperspectral traceability analysis (HyperTrace) library for Python. The modeling service and underlying HyperTrace OE library are deployed on the NASA DISCOVER high-performance computing (HPC) infrastructure. An intermediate HTTP server communicates between FTP and HTTP servers, providing persistent archival of model inputs and outputs for subsequent meta-analyses. To facilitate enhanced community participation, users may simply transfer a folder containing ENVI format hyperspectral imagery and a corresponding JSON metadata file to the FTP server, from which it is pulled to a NASA DISCOVER server for processing, with statistical, graphical, and ENVI-formatted results subsequently returned to the FTP server where it is available for users to download. This activity provides an expanded capability for estimating the various science values of architectures under consideration for NASA&amp;amp;#8217;s Surface Biology and Geology Designated Observable.&amp;lt;/p&amp;gt;
Pembuatan Video Promosi Perpustakaan di Perpustakaan Universitas Islam Negeri Imam Bonjol Padang

AbstractIn this paper, it is discussed about Making Library Promotion Videos in Imam Bonjol State Islamic University Library Padang. The purpose of this paper is to describe the stages of making library promotional videos at the Imam Bonjol State Islamic University Library in Padang. This type of research is qualitative with descriptive method. Data collected through observation and interviews with the Head of Imam Bonjol State Islamic University Library Padang. Based on analyzing the data it can be concluded that the steps in making a library promotion video are follows: First, preproduction is the initial stage before the video production process consists of the discovery of ideas which are the theme of production, synopsis, treatment which gives an overview of the production theme, storyboards that describe a series of events, shooting scripts as a guide in the field, production planning, and production preparation. Second, production to realize all the steps in the preproduction stage. Third, post-production is the final stage in video production before it’s ready to be presented.Keywords: videos, promotions, libraries
Developing the Facebook-Problem Based Learning Model: A Way of Improving the Geographical Solving-Problem Skills at Senior High Schools

nThe primary purpose of this study was to develop a model of learning based on Facebook-assisted learning to improve the geographic problem-solving abilities of high school students. Research and Development was the type of research entailed. Instructional System Design entailed was Plomp consisting of (1) preliminary research (2) Prototype Phase (Prototyping phase); 3) Assessment stage. The product design stage investigates the validity and practicality with formative evaluations which include self-evaluation and one-to-one. The assessment stage uses summative evaluation which aims to assess the validity of the product in aspects of the organization, format, material and language. Practicality assesses the level of ease, the efficiency of time and benefits. As for effectiveness, it assesses student learning test results using the t-test. Exam questions are made in the form of essays and are assessed using an assessment rubric. Data is collected through discussions, observations, interviews, questionnaires and tests. The collected data were analyzed using descriptive and inferential statistics. The results showed that for the validity of the Model book and its support system (teacher's books and student books) met the valid criteria ofg 3.20 while the ICC value of the model book was 0.987, the ICC of student books was 0.943 and ICC of the teacher's book 0.965. These figures indicate that the model and the supporting system according to the expert is appropriate. The practicality results obtained are very practical that is easy to use, understood, very helpful in the learning process, the use of adequate time, and fun for students to learn. Effectiveness test results enable students to solve Geography problems in High Schools. In conclusion, the Valid, practical and effective Facebook-assisted problem-based learning model can improve the geography problem-solving ability of high school students., e-learning, facebook