Reviewerly/exHarmony huggingface dataset:
Eesti keele kui teise keele õpikute lausete analüüs ja selle rakendamine eri keeleoskustasemete sõnastike näitelausete automaatsel valikul

Artikli eesmärk on välja töötada korpuspäringusüsteemi Sketch Engine heade näitelausete tööriista GDEX (Good Dictionary Example) eesti mooduli versioonid, mis aitavad korpusest tuvastada eri keeleoskustasemetele vastavaid eri leksikaalse, süntaktilise ja grammatilise keerukusega näitelause kandidaate. Selleks analüüsin eesti keele kui teise keele õpikute lauseid ning teen kindlaks, missugused parameetrid eri keeleoskustasemeid eristavad. Uute eesti mooduli versioonide aluseks on sõnastike näitelausete analüüsi põhjal loodud GDEX-i eesti mooduli versioon 1.4, mille parameetreid vastavalt õpikulausete analüüsi tulemustele kohandan. Uurimistöö tulemusi rakendades saab luua eri keeleoskustasemete õppekorpused, mis sobivad kasutamiseks sõnastikuportaalides (nt Sõnaveeb), keeleõpperakendustes (nt etSkELL) ja muu õppevara loomisel. *** Analysis of CEFR-graded coursebook sentences and their use for automatic detection of good dictionary examples The aim of the study was to develop new Estonian GDEX configurations for A-, B- and C-language proficiency levels. GDEX (Good Dictionary Example) (Kilgarriff et al. 2008) is a software module of the corpus query system Sketch Engine (Kilgarriff et al. 2004), which helps to identify good dictionary example candidates from large corpora. In order to identify which specific parameters characterise sentences in each proficiency level, full sentences from the Estonian Coursebook Corpus 2018 were analysed using a program called Analyser of Sentence Parameters developed at the Institute of the Estonian Language. The analyser allows to find out how long the sentences and tokens are, what kind of verb forms are used, what syntactic properties the sentences have etc. The analysis showed that compared to the latest Estonian GDEX configuration 1.4 such parameters as sentence and token length, occurrence of certain verb forms and parts of speech needed to be adjusted. Accordingly, for A-level the sentence length was set to 3–14 tokens (optimal interval 4–7 tokens), for B-level 3–18 tokens (optimal interval 4–12) and for C-level 4–23 tokens (optimal interval 6–14 tokens). A new classifier that penalises tokens longer than 9 characters on A-level and tokens longer than 11 characters on B-level was introduced. On A- and B-levels certain verb forms were penalised or banned from appearing in the sentence. etSkELL – a corpus tool for Estonian language learning – and the dictionary portal Sõnaveeb (Wordweb) are introduced as possible ways to implement the new GDEX configurations output. The results of this paper can be applied in compiling corpora and teaching materials for different language proficiency levels.
LIBRARY 2.0: THE APPLICATION OF WEB 2.0 TECHNOLOGY TO LIBRARY AND INFORMATION SERVICES.

The implication of Web 2.0 technologies to libraries and information centres resulted in the coining of the term Library 2.0.This paper aims at seeking the use of Web 2.0 applications by the library and information professionals.Library 2.0 is a concept for different library and information services.This article suggests that recent thinking describing the changing "Web" as "Web 2.0" will have substantial implications for libraries.The paper discusses the theory and definition to the practice of librarianship, specifically addressing how the technology Web 2.0 such as synchronous messaging and streaming media, blogs, wikis, social networks, tagging, RSS feeds library thing, podcasts, YouTube, Second Life and mash-ups might intimate changes in how libraries provide access to their collections and user support for that access.Conclusion stated that the implementation of Web 2.0 technologies in libraries is very much fruitful to cope with the changing paradigm.Copy Right, IJAR, 2019,.
A model of mining approximate frequent itemsets using rough set theory

Datasets can be described by decision tables. In real-life applications, data are usually incomplete and uncertain, which presents big challenges for mining frequent itemsets in imprecise databases. This paper presents a novel model of mining approximate frequent itemsets using the theory of rough sets. With a transactional information system constructed on the dataset under consideration, a transactional decision table is put forward, then lower and upper approximations of support are available which can be easily computed from the indiscernibility relations. Finally, by a divide-and-conquer way, the approximate frequent itemsets are discovered taking consideration of support-based accuracy and coverage defined. The evaluation of the novel model is conducted on both synthetic datasets and real-life applications. The experimental results demonstrate its usability and validity.
PENGARUH PENGGUNAAN TEKNIK COPY THE MASTER TERHADAP KETERAMPILAN MENULIS TEKS EKSPOSISI SISWA KELAS VIII SMP NEGERI 5 PARIAMAN

ABSTRACT The purpose this research are (1) To find out the exposition text writing skills at class VIII SMP at 5 Pariaman before using copy the master technique. (2) To find out the exposition text writing skills ot class VIII SMP at 5 Pariaman after using copy the master technique. (3) To analyze the effects of using copy the master technique towards the exposition text writing skills at class VIII SMP at 5 Pariaman. This is quantitative research using quasi experiment. Based on data analysis, using copy the master technique affects to students class VIII SMP at 5 Pariaman the exposition text writing skills. Kata kunci: Pengaruh, Teknik Copy The Master, Menulis Teks Eksposisi
Static Load Balancing Technique for Geographically Partitioned Public Cloud

Large number of users are shifting to the cloud system for their different kind of needs. Hence the number of applications on public cloud are increasing day by day. Handling public cloud is becoming unmanageable in comparison to other counterparts. Though fog technology has reduced the load on centralized cloud resources to a remarkable extent, still load handled at cloud end is significantly high. Geographic partitioning of public cloud can resolve these issues by adding manageability and efficiency in this situation. Dividing public cloud in smaller partitions opens ways to manage resources and requests in a better way. But, partitioned clouds introduce different ends for submission and operations of tasks and virtual machines. We have tried to handle all these complexities in this paper. Proposed work is focused upon load balancing in the partitioned public cloud by combining centralized and decentralized approaches, assuming the presence of fog layer. A load balancer entity is used for decentralized load balancing at partitions and a controller entity is used for centralized level to balance the overall load at various partitions. In the proposed approach, it is assumed that jobs are segregated first. All the jobs which can be handled locally by fog resources are not forwarded to the cloud layer directly. Those are processed locally by decentralized fog resources. Selection of an appropriate Virtual Machine (VM) for filtered set of job, which are forwarded to cloud environment, is done in three steps. Initially, selecting the partition with a maximum available capacity of resources. Then finding the appropriate node with maximum available resources, within a selected partition. And finally, the VM with minimum execution time for a task is chosen. Results are compared with the results produced in this work with First Come First Serve (FCFS) and Shortest Job First (SJF) algorithms, implemented in same setup i.e. partitioned cloud. This paper compares the Waiting Time, Finish Time and Actual Run Time of tasks using these algorithms. After initial experimentation, it is found that in most of the cases, while comparing above parameters, the proposed approach is producing better results than FCFS algorithm. But results produced by SJF algorithm produce better results. To reduce the number of unhandled jobs, a new load state is introduced which checks load beyond conventional load states. Major objective of this approach is to reduce the need of runtime virtual machine migration and to reduce the wastage of resources, which may be occurring due to predefined values of threshold. The implementation is done using CloudSim.
Understanding and Correcting Inaccurate Calorie Estimations on Amazon Mechanical Turk

Current research on technology for fitness is often focused on tracking and encouraging healthy lifestyles. In contrast, we adopt an approach based on improving consumer knowledge of food energy. An interactive survey was distributed on Amazon Mechanical Turk to assess how well crowdworkers can judge the calories in a series of foods. Our subjects yielded results comparable to traditional participants, exhibiting well-known phenomena such as underestimating the energy contained in foods perceived to be healthy. Several techniques from the online education literature, such as prompts for reflection, were also investigated for their efficacy at increasing estimation accuracy. Although calories were more accurately judged after applying these methods on aggregate, the effects of individual techniques on our participants were inconclusive. A more thorough investigation is thus needed into effective educational methods for correcting calorie estimations on the Web.
DEVELOPING MIND MAPPING TECHNIQUE IN TEACHING WRITING DESCRIPTIVE TEXT GRADE XI AT SMAN 1 SIBORONGBORONG

This research was aimed at develops technique as media in teaching writing descriptive texts. This study was conducted using R &amp; D method by Borg &amp; Gall (2003). The research took place at SMAN 1 Siborongborong. The sample consisted of class 11-XI. The evaluators of the media were two experts. The instruments employed in this study were questionnaire, interview, and test. The findings of the study were the quality of the developed technique as media viewed from the experts is very good (88 %). The final product of the technique as media was assessed by gave questionnaires to the students to know the students’ responses about the media. Most students gave positive responses. Most students said that the media was interesting and it could help them to understand descriptive texts easily. The results of the test show that the technique as media improved their ability in writing descriptive texts (average score: 80, 12).The scoring system was based on five aspects; namely content, organization, vocabulary, language use, mechanics. Therefore, the writer suggests that English teachers develop technique as one of the creative way to improve the students’ ability in writing descriptive texts.Keywords: Descriptive texts, pictures, writing.
Towards Efficient Tracing in Software Product Lines: Research Methodology

Software Product Lines represent a solution for massive development with minimum costs, while assuring product high quality and interesting time to market. In fact, Software Product Lines systems are used for massive productions, and are based on systematic reuse of commun components, while offering the ability to add specific development, in order to satisfy particular users or market needs. However, to maintain such complex and large-scale systems, it is mandatory to adopt a suitable tracing policy that satisfies the system constraints, especially cost and complexity. Unfortunately, tracing is rearly applied in Software Product Lines as it presents several constraints, especially its cost. Through our research work, we tried to come up with elements that would help break this prejudice. Therefore, we worked on a cost and Return on Investment estimation model that helps identify the optimal conditions (phase and policy) for implementing a tracing solution. As a result of our work, we found that implementing specific trace links, in a targeted approach that meets business goals, and starting from the Domain Engineering phase, costs less and presents the most interesting Return on Investment. To conduct this study and reach those findings, we followed the Design Science Research Methodology. In this article, we detail the steps of our research according to this methodology&amp;rsquo;s phases.
Image Processing &amp; Neural Network Based Breast Cancer Detection

A large percentage of cancer patients are breast cancer patients. The main available methodology to examine the breast cancer is the Mammography. It detects the signs of breast cancer as different signs supports the experts&amp;rsquo; decision. Actually, the Mammography is based on human perception and observations. So, build an AI computerized system will take major role in early signs detection. This paper presents an image processing with aid of artificial neural networks computations for computerized signs detection and exploration of breast cancer. The input material is the mammogram images, and the output helps the pathologists to take a decision. A set of input mammogram images was used for development, testing, and evaluation. The mammographic image will be preprocessed and then the features will be extracted using discrete wavelet transformation with aid of Weiner filtration. A historical data of extracted features were used to train a neural network, while the historical extracted features contains both Cancer and non-Cancer images. The combination of neural network machine learning, and rigid image processing techniques resulted accurate outputs. The methodology and results are showed and discussed later in this paper.
Arquivistas e os desafios profissionais: um estudo empírico

A study developed from the speech at the round table Challenges of the profession: librarians and records composed of two librarians and two records managers, held on March 16, 2018, component of the IX Encontro Academico do GCI organized by the Departamento de Ciencia da Informacao from the Universidade Federal Fluminense, in the city of Niteroi, state of Rio de Janeiro. It presents a reflection on the professional challenges that can be faced by records managers in the professional exercise, from the perspective of the lived experience, in two main fronts: the general challenges, understood as competences to be developed, being: leadership, people management, management of materials, innovation and interdisciplinarity, and specific challenges, dealing with political and bureaucratic issues specifically faced by records managers. Therefore, it aims to provide a reflection on the professional challenges, specifically faced by records managers, students of the course of Archival Science and professionals in the field. As a methodological procedure, a literature review is used to survey concepts and experience as an empirical field.
PENERAPAN METODE DISKUSI UNTUK MENINGKATKAN KOGNITIF SISWA KELAS VII SMPN 7 KUNTODARUSALAM

This study aims to determine the application of discussion methods to improve cognitive grade VII students SPMN 7 Kuntodalamalam, Research data retrieval carried out from January to February 2017 in Class VII 7 Kuntodarussalam Middle School Academic Year 2017/2018. The research subjects were 32 students consisting of 10 female students and 22 male students. Data collection includes: the value of discussion, Quiz, PR and Block Exams. Using descriptive analysis. The results obtained from 6 indicators in the discussion process in cycle I and sikulus II were highest in indicator 1 (attention to discussion material) with an average of 97.97% in very good category. in the first cycle of indicator 5 (Respecting the suggestions and opinions of fellow discussion participants) with an average of 61.09% (category is very lacking), in the second cycle the lowest was on indicator 6 (Concluding material) with an average of 64.13% ( category is very lacking). The average value of the discussion of meeting students from the first cycle and the second cycle the lowest value at the first meeting with a value of 76.35 (lack of category) and a value of 82.06 (sufficient category), the highest in the second cycle of meeting 2 with a value of 79.53 (sufficient category), while in the second cycle the highest at meeting III with a value of 82.06 (sufficient category). the average quiz score in the first cycle and the second cycle the lowest Quiz 3 with a value of 80.8 (sufficient category), the highest on quiz 6 with a value of 84.4 (good category). the value of homework assignments for students is the lowest in the first cycle with a value of 88.7 and the second cycle the value of 91.3 is very good. Nilau UB obtained from the first cycle is the lowest with the highest value of 81.9 and Cycle II with a value of 84.2 with a good category. It can be concluded that the application of the discussion method can improve the cognitive grade VII of Kuntodarusalam 7th Middle School.Keywords: metode diskusi,kognitif
UNDERSTANDING THE MEANING OF LANGUAGE BIAS IN TWITTER STATUS

Through social networking sites, many users or writers convey the strict message and statement in the platform of their twitter for whom those are addressed. This study was to analyze the use of language bias in worldwide twitter status; how its form and what is the underlying motive behind the words used. The researcher only focused on the “Trending Topic” from worldwide twitter status during February 2018 by taking up 25 twitter status as samples. The result of analysis obtained that there were six categories of language bias which are used in twitter statuses such as age, sex (gender), race, social class, and traits. Semiotically, all above upon deliver were visible strictly words, but all of the words subtle conveyed some important values for readers in terms of five categories above like to be an independent person, respect and not underestimate others. In short, by understanding the clues words of language bias in social media, readers can understand easily for whom the message or statement are addressed and not easy to give a negative response as users of social media.
THE USE OF THE SCHOOL LIBRARY AT THE ELEMENTARY SCHOOL SD NEGERI 2 PEJAGOAN

&lt;em&gt;Libraries are important facilities in schools. One of the schools that has a library is SD Negeri 2 Pejagoan. Obsviously school libraries are used by students and teachers to support learning. But not all school libraries are well untilized. The purpose of this study was to describe the use of school libraries in SD Negeri 2 Pejagoan. The method used in this study is a qualitative descriptive method with data retrieval techniques, interviews, and observations. Extracting data involves there components, they are students, to teachers, and librarians. The results of this study are that the school library in the SD Negeri 2 Pejagoan has been used well. Research indicators are based on the size of the library collection, attendance intensity, and service. The percentages of the library collection 83.2% have been well benefited, while a percentage of attendance at 66.1 percent each day, and 93% of the visitors have been greatly assisted by the service provided by the library. Implementation of this study is to get the school to use the library at maximum.&lt;/em&gt;
COMPARISON OF INTERPOLATION METHODS WHEN ACHIEVING SUPER-RESOLUTION OF IMAGES BASED ON THE ANALYSIS OF SEVERAL FRAMES.

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Analysis on Classroom Teaching Reform of Cultural Basic Course in Vocational School Based on Training of Vocational Core Competence in China

The training of practical application skills is not only emphasized in vocational schools of our country, professional culture basic courses are set up to meet the urgent needs of society and enterprises for applied talents.Especially in the new era and new development situation, classroom teaching reform of cultural basis in vocational school based on training of vocational core competence attaches more importance to training the students' ability to transform and apply knowledge, so that they cannot only meet the needs of social development, but also meet the personal learning requirements to the greatest extent under the complete construction of classroom teaching system.At present, there are problems in the cultural basic courses of vocational schools, such as insufficient understanding of value of cultural basic courses, lagging reform of cultural basic courses; lack of close connection with specialized courses, controversy exists in the objectives and orientation of courses, and single teaching evaluation modes.Through the construction of course platform of vocational ability education, teaching display platform, activity development platform, practice entrepreneurship platform, and social platform five major platforms, the classroom teaching reform of the cultural basis in vocational schools can be effectively promoted.
Parallelization of Hybrid Content Based and Collaborative Filtering Method in Recommendation System with Apache Spark

Collaborative Filtering as a popular method that used for recommendation system. Improvisation is done in purpose of improving the accuracy of the recommendation. A way to do this is to combine with content based method. But the hybrid method has a lack in terms of scalability. The main aim of this research is to solve problem that faced by recommendation system with hybrid collaborative filtering and content based method by applying parallelization on the Apache Spark platform.Based on the test results, the value of hybrid collaborative filtering method and content based on Apache Spark cluster with 2 node worker is 1,003 which then increased to 2,913 on cluster having 4 node worker. The speedup got more increased to 5,85 on the cluster that containing 7 node worker.
Perspective, Voice, Reference, and Warrant: A Sample of Ameliorations to the Multi-Perspective Design Requirement and Some Arguments Against It

In this concept paper I sketch these potential ameliorations at a high level and then work to address some foundational issues associated with attempts at communicating multiple perspectives in a single classification scheme. These include both Melanie Feinberg’s work on rhetorical stance of the classificationist (2010, 2012) and Birger Hjørland’s work on explicit philosophical grounding and classification scheme design (2013).
Investigation and Analysis on the Present Situation of Educational Belief of Normal University Students

The cultivation of educational belief of normal college students is conducive to promoting the professional development of teachers, strengthening the construction of teachers' team, improving teachers' accomplishment and ensuring the healthy development of basic education.A questionnaire survey on the educational beliefs of 811 normal college students in a normal college in Chengdu shows that, A questionnaire survey on the educational beliefs of 811 normal college students in a normal college in Chengdu shows that.Although it just about 42.4% normal college students basically known the knowledge of education belief.While it’s important to set up the education belief for 95.8% of normal students. As for the lowly education profile atmosphere of society and college ,which is in short of the scientifically manage and cultivate system so that to emergent the shortage of education belief for the large mount of college normal students. For the future researching statement the different gender, grand , background, minority and free or unfree normal students to make the difference to the education belief of cognitive ability ,expectation, attitude, emotion quality. Firstly, the cultivation of normal students education belief to induce them to set up the lofty education dream mission for the ultimateness demand direction. Secondly ,it should be builded up to the roundly cultivate and stimulate system.At last, it should be increasing the normal students as themselves to the main part of self-education.