Reviewerly/exHarmony huggingface dataset:
Excerpts from the history of libraries

The article provides a brief overview of the history of the beginning and development of libraries: from the oldest library of Ashurbanipal, in whose collection books were clay cuneiform tablets to the recognized world’s best multifunctional city library of Helsinki with modern equipment. The author hadn’t task to create a detailed chronology of the history of libraries development. Author focused on not only to public libraries, but also to University libraries, since University libraries have always been the flagships of librarianship. The important role of national libraries in the formation of statehood is mentioned. The websites of the MSU Scientific Library, the Russian National Library, and the Central City Library of Helsinki Oodi (Finland) were analyzed. The influence of the invention of printing on libraries is noted. The history of library’s functions expansion is considered: from the function of protection book heritage to the function of support of readers. The role and significance of the library in educating the masses is noted. The author mentions the ideological component of educational activities of libraries in Soviet Russia. The author speaks about the serious impact of global technological changes that took place in the XXI century and the introduction of digital technologies in library’s activities, and the search for new forms of library’s work. Conclusions were drawn about the direction in which libraries are being transformed as a socio- cultural institution. Author relied on the scientific works of Boris F. Volodin, Alexey G. Glukhov and other researchers in this field, while preparing this article.
Analisis Kelayakan Isi Buku Siswa Kelas Iv Sd/Mi Tema Cita-Citaku Kurikulum 2013

This study aims to analyze and describe the suitability of the contents of the fourth grade books on the theme of the 2013 curriculum. This type of research is a qualitative study, with a content analysis design. The data collection technique is done through documentation technique, with an instrument in the form of a checklist. The data analysis technique was carried out in several stages, namely: preparation for selecting textbooks, making scoring criteria, analyzing predefined standards / categories, calculating the percentage of each aspect, determining the percentage of textbook assessment criteria with the percentage: 81.25 <% <100 very feasible, 62.5 <% ≤ 81.25 feasible, 43.75 <% ≤ 62.25 less feasible and 25 <% ≤ 43.75 not feasible, and drawing conclusions from the categories analyzed. The validity of the data was carried out in a way, namely: through the instrument validation test and observation persistence. The results showed that this textbook met the eligibility criteria for the content, namely from the spiritual dimension, the score was 66.67%, the social dimension was 100%, the knowledge dimension was 95.83%, and the skill dimension was 87.50%. In this study, we can find out the suitability of the contents of the fourth grade book in the theme of ‘Cita-citaku” of the 2013 curriculum, so that we can find out how suitable it is to be used in the world of education.
Class-agnostic Object Detection

Object detection models perform well at localizing and classifying objects that they are shown during training. However, due to the difficulty and cost associated with creating and annotating detection datasets, trained models detect a limited number of object types with unknown objects treated as background content. This hinders the adoption of conventional detectors in real-world applications like large-scale object matching, visual grounding, visual relation prediction, obstacle detection (where it is more important to determine the presence and location of objects than to find specific types), etc. We propose class-agnostic object detection as a new problem that focuses on detecting objects irrespective of their object-classes. Specifically, the goal is to predict bounding boxes for all objects in an image but not their object-classes. The predicted boxes can then be consumed by another system to perform application-specific classification, retrieval, etc. We propose training and evaluation protocols for benchmarking class-agnostic detectors to advance future research in this domain. Finally, we propose (1) baseline methods and (2) a new adversarial learning framework for class-agnostic detection that forces the model to exclude class-specific information from features used for predictions. Experimental results show that adversarial learning improves class-agnostic detection efficacy.
양보 표현 문법 항목의 특성 연구 : 복합 표현 ‘-다손 치더라도’, ‘-(ㄴ)다고 해도’, ‘-만 해도’, ‘-아/어 봤자’를 중심으로

When learning various grammar items presented in Korean textbooks on actual education fields of Korean language, students encounter many grammar items in one meaning, which makes it difficult for them to learn. Especially, in Korean grammar, there are many expressions belonging to different grammar units, but they are grammatically similar in meaning, thus, making it more difficult to learn Korean grammar. Moreover, in the case of complex grammar expressions, as they are not so frequently presented in Korean textbooks or Korean grammar books, it is difficult to teach and learn them on actual education fields. But it is necessary to do studies on these complex expressions because learners encounter them outside the educational fields. In this study, the characteristics of subject matching constraint preceding predicate constraints, sentence termination constraints, negative sentence constraints, tense constraints, etc. were examined by targeting the composite expressions such as ‘-다손 치더라도’, ‘-(ㄴ)다고 해도’, ‘-만 해도’, and ‘아/어 봤자,’which have the meaning of concession. And efficient teaching methods for congruent meaning complex expressions in grammar education were discussed based on these characteristics.
Mining representative approximate frequent coexpression subnetworks

Advances in high-throughput microarray and RNA-sequencing technologies have lead to a rapid accumulation of gene expression data for various biological conditions across multiple species. Mining frequent gene modules from a set of multiple gene coexpression networks has applications in functional gene annotation and biomarker discovery. Biclustering algorithms have been proposed to allow for missing coexpression links. Existing approaches report a large number of edgesets which are computationally intensive to analyze, and have high overlap among the reported subnetworks. In this work, we propose an algorithm to mine frequent dense modules from multiple coexpression networks using an online data summarization method. Our algorithm mines a succinct set of representative subgraphs that have little overlap which reduces the downstream analysis of the reported modules. Experiments on human gene expression data show that the reported modules are biologically significant as evident by the high enrichment of GO molecular functions and KEGG pathways in the reported modules.
실습선 교육 기간과 승선 학기에 따른 해기능력 변화에 관한 연구

This study conducted a self-assessment survey on 50 evaluation items for students majoring nautical science who boarded H University training ships in order to ascertain the degree of improvement in their maritime ability according to the STCW agreement and training period. The trainees’ maritime competence and basic understanding of maritime functions were evaluated, and an in-depth analysis was conducted to see how these have changed since their embarkation. The analysis showed a significant improvement in their understanding of maritime functions after the third evaluation in both the first and second semesters. The results also showed areas the trainees need to improve on for each semester’s embarkation group, and an additional study plan is needed to make up for the lack of nautical skills in the training course. The result of analysis on the degree of improvement of maritime ability according to the training period of training ships derived from this study can be used for the reorganization of training ships and maritime college curriculum in the future.
영어 읽기활동이 듣기능력 향상 및 정의적 인식에 미치는 효과 연구

The purpose of this paper is to examine how reading activities conducted in listening class influence on students’ listening comprehension, perceptions, and elimination of obstacles related to listening. For this study, two experimental groups such as Reading Aloud (RA) and Jigsaw Reading (JR) and one control group such as Traditional Listening (TL) were employed, and one hundred thirty nine college students with similar TOEIC scores participated in this study. After 12 weeks of experiment, the pre-post test scores of three groups were statistically analyzed using dependent t-tests and one-way ANOVA tests. A questionnaire with 36 questions and an in-depth interview for 10 students from 3 groups were conducted. Finally, there was an in-depth interview with 10 students from different classes. As a result of study, the RA and JR activity were effective on listening comprehension compared to TL activity. Also, JR activity was found to be the most effective and enjoyable method to improve listening. (Chungnam National University)
Rasio Kekerasan Resin Komposit Bulk Fill dengan Berbagai Teknik Penyinaran LED

Bulk-fill composite resin is the latest technology that can be directly applied to the 4 mm deep without incremental technique. This resin composite bulk-fill contains ivocerin which more reactive than conventional composite resin photo initiator. Resin composite polymerization is obtained by using a light curing with several illumination techniques: stepped, ramped, and pulse. The purpose of this study is to determine the effect of these irradiations techniques to the ratio of top and bottom hardness value of bulk-fill composite resin. Composite resin bulk-fill samples were prepared in diameter 6 mm and 4 mm. Group I was irradiated by stepped techniques, group II with ramped techniques, and group III with pulse technique (n = 5). Each group was irradiated for 10 seconds using a large light emiting diode (LED) light with 1000 mWcm2 at the same distance. Then, the samples were soaking in distilled water at 37oC for 24 hours, hardness test was performed on the top and bottom using a Micro Vicker Hardness Tester. Vickers ratio was obtained from the ratio of the bottom to the top of hardness value. Data were analyzed using statistical applications and use One Way Anova followed by Pos Hoc Tukey test. The results of this study found that the hardness value of stepped technique was 0,685±0.036 VHN, ramped technique was 0,744±0.023 VHN and pulse technique was 0,682±0.108 VHN. There was no significant difference between the stepped, ramped, and pulse techniques to the hardness of bulk-fill composite resin. Conclusions, the hardness of bulk-fill composite was no differ after irradiation by different techniques in LED light.
USGS Science Data Policies: An Evolving Culture of Data Management

In 2013, the Office of Science and Technology Policy (OSTP) issued a memorandum directing Federal agencies with over $100 million in annual research and development expenditures to develop a plan to support increased access to federally funded research results. In response, the US Geological Survey developed a Public Access Plan and published four new data management policies. The policies focus on review and approval of scientific data supporting scholarly conclusions, requirements for metadata, preservation, and data management planning. The new policies, in conjunction with the Public Access Plan, represent a shift in culture in how the USGS manages and provides access to its science data. The USGS recognizes that successful implementation of these new policies requires multiple pillars of support, from USGS leadership and staff buy-in, to effective tools. Active community engagement in the Bureau is stimulated through the Community for Data Integration (CDI), an open forum for community discussion and engagement, and an important component creating buy-in and contributing to the success of the new policies. Also critical are a suite of tools available to scientists to ensure their ability to implement the policies. Finally, support from leadership that manifests in the Fundamental Science Practices Advisory Council (FSPAC), a committee of representatives from across the Bureau who preside over policies and guidance is a critical component. While far from complete, the USGS has shifted its approach to science data management by engaging the community, offering tools to support policy, and providing leadership support for the quality and scientific integrity of USGS science data.
ANDROID-BASED RUSA (RUANG SISWA) LEARNING MEDIA WITH APPYPIE APPLICATION TO ENHANCE LEARNING MOTIVATION AND OUTCOME OF ANIMALIA MATERIAL OF GRADE X STUDENTS OF SENIOR HIGH SCHOOL: A RESEARCH AND DEVELOPMENT

This research aims to identify the effect of RUSA (Ruang Siswa), an Android-based learning media with appypie application, and figure out the validity of the media to enhance motivation and learning outcome of grade X students in Animalia material. The method of this research was Pre-experimental. The type of (R&D). This development model applied Borg & Gall procedure which was limited up to the seventh step, that is, product revision. Based on the hypothetical test of the effect of RUSA (Ruang Siswa) on students’ motivation using t test, and the effect of RUSA on learning outcome using Ancova test, it was obtained that the significance value of RUSA (Ruang Siswa) was 0.000. Since the significance value was 0.000 < 0.05, H0 was rejected and H1 was accepted. Based on the result of validity test by media experts, the validity percentage was 74.50% classified as valid criteria, Material expert was 77.03% with classified as valid criteria, Language expert was 83.33% classified as very valid criteria. In addition, the data from students showed the percentage of 89.14% classified as valid criteria, and from the Biology teachers was 75.33% classified as valid criteria. Therefore, it is clear that there was an effect of using RUSA (Ruang Siswa) on students’ motivation and learning outcome. Referring to the validity result, RUSA (Ruang Siswa) is valid to use.
Conclusion

This chapter explores the role of Third Space Theory and mobile learning practices in the context of marginalised groups. It offers an outline for developing Mobile Assisted Third Spaces (MATS) and argues how these are manifest in projects supporting rural farmers in South Africa. Further it explores how these spaces generate inclusive practices which combat hegemony and promote more democratic power relationships and the potential this has not only for a local but also a global community. The potential of MATS to promote more democratic global practices through education is explored.
LibGuides: 3D Printing Guide: Printing Guidelines

How to utilize the Learning Resource Center 3D printer. Includes direction on obtaining files for print and the procedures for requesting a print. How to utilize the ACOM LRC's 3D printer. Includes direction on obtaining files for print and the procedures for preparing and sending for print.
Sequent-Type Calculi for Systems of Nonmonotonic Paraconsistent Logics.

Paraconsistent logics constitute an important class of formalisms dealing with non-trivial reasoning from inconsistent premisses. In this paper, we introduce uniform axiomatisations for a family of nonmonotonic paraconsistent logics based on minimal inconsistency in terms of sequent-type proof systems. The latter are prominent and widely-used forms of calculi well-suited for analysing proof search. In particular, we provide sequent-type calculi for Priest's three-valued minimally inconsistent logic of paradox, and for four-valued paraconsistent inference relations due to Arieli and Avron. Our calculi follow the sequent method first introduced in the context of nonmonotonic reasoning by Bonatti and Olivetti, whose distinguishing feature is the use of a so-called rejection calculus for axiomatising invalid formulas. In fact, we present a general method to obtain sequent systems for any many-valued logic based on minimal inconsistency, yielding the calculi for the logics of Priest and of Arieli and Avron as special instances.
Extracting the Significant Degrees of Attributes in Unlabeled Data using Unsupervised Machine Learning

We propose a valid approach to find the degree of important attributes in unlabeled dataset to improve the clustering performance. The significant degrees of attributes are extracted through the training of unsupervised simple competitive learning with the raw unlabeled data. These significant degrees are applied to the original dataset and generate the weighted dataset reflected by the degrees of influentialvalues for the set ofattributes. This work is simulated on the UCI Machine Learning repository dataset. The Scikit-learn K-Means clustering with raw data, scaled data, and the weighted data are tested. The result shows that the proposed approach improves the performance.
Imaging with Squeezed Vacuum

We image objects in the path of squeezed vacuum, by analyzing spatial-quantum noise statistics. Visibility and resolution of the image are linked to the squeezing mode size and the area of analyzed spatial correlations.
Cloud computing contract terms checklist for international organizations

This chapter presents the findings of an InterPARES Trust case study carried out at the International Federation of Red Cross and Red Crescent Societies (IFRC). A contract for a cloud service used by this international organization is evaluated against the InterPARES Trust Checklist for Cloud Service Contracts. The Checklist helps to identify gaps and discrepancies that exist between an organization’s records requirements and the cloud-computing terms and services offered by providers. The case study tests the Checklist in order to analyse how records-related risks are addressed in the evaluation and introduction of cloud-based services in practice. The evaluation identifies strengths and limitations in both the Checklist and the cloud contract, and makes suggestions for improvements of each.
The Process of Using Instagram in LearningWriting Descriptive Text at first grade SMA Negeri 1 Tanjung Balai

Descriptive text is a text that describe an object like things, human,animals ect., which include identification and description. The purpose of thisresearch is to describe the process of using instagram in learning writingdescriptive text.. The method in this study used descriptive qualitative researchdesign of which technique of collecting data are observation, interview anddocumentation. The subject was student of first grade in SMA N 1 Tanjung BalaiThis research applied the task of writing descriptive text to subject in threedifferent topics. The interview to subject was conducted after analyzing herdescriptive text writing in order the process of using instagram in learning writingdescriptive text. The results of this research: show that there are three findingsabout the process of using instagram in learning writing descriptive text: (a)opening activities process, (b) implementing activities process, and (c) closingactivities process. But in specifically, there are fourteen findings (1) joining to theclass meeting, (2) answering the teacher‟s greeting, (3) confirming the attendance,and (4) listening teacher‟s explanation, (5) downloading instagram application, (6)creating instagram account, (7) logging in to instagram account, (8) writingdescriptive text in the book, (9) finding the photo, (10) inserting the photo, (11)writing descriptive text in the caption, (12) posting the photo and (13) taggingteacher‟s instagram account, and (14) taking screenshot of photo.
Contrast Enhancement Algorithm Using Definite Integration Mathematical Method Trapezoidal Rule

In this paper, we propose a novel contrast enhancement algorithm based on discrete integration mathematical Trapezoidal formula. It improves the contrast of the low contrast images. Various novel algorithms have been already proposed for contrast enhancement. But these methods mainly depend on histogram equalization or modified histogram equalization. Our method is simple and easy to understand that only applies the trapezoidal rule and it is clearly shown that it works very efficiently on low contrast images. In comparison to other different exiting algorithms, the proposed method works efficiently in case of different standard low contrast images.
CYBER-SECURITY AWARENESS FOR SME MANAGERS

A. Consoli1, E. Kovatcheva2, A. Mariotti Nesurini1, S. Siarova2 1SUPSI - University of Applied Sciences and Arts of Southern Switzerland - Scuola Universitaria Professionale della Svizzera Italiana (SWITZERLAND) 2University of Library Studies and Information Technologies (BULGARIA)
Main peculiarities of Arabic-language content on the Internet

This article is dedicated to the trend that emerged in recent decades to transliterate Arabic text in the Internet comments and text messages, using the numbers for conveying the specificity of Arabic sounds. The object of this research is Arabizi &amp;ndash; the macaronic jargon in electronic correspondence of Arabic native speakers, while subject is its specific characteristics. In the course of study, the author selected the microtexts posted by Arabic-speaking audience in the popular social networks Facebook and Twitter, YouTube video hosting, as well as private correspondence via such messengers as Viber and WhatsApp. The mandatory criterion was the affiliation of words to the common Arabic lexicon, as well as validation and similarity of the materials from different sources. Misprints and erratives were left out. The selected examples were classified by age (group 1 &amp;ndash; 30 &amp;ndash; 35 years old, group 2 &amp;ndash; above 35 years old.) and nationality (from any Arab country) of their author. The scientific novelty is define by the fact that this article is first to examine the features that differentiate Arabizi from similar macaronic jargons, such as Denglish, Franglais, Spanglish, Ruglish. Possible ways for further development of language situation in the Arab world are proposed. The author determined that short messages in Arabizi virtually frame the written form that captures the specificity of oral dialect speech of the Arabic native speakers. The conclusion consists in formulation of distinctive characteristics of the indicated macaronic language that emerged as a result of interference due to familiarization of Arabs with the European languages, namely English.