Reviewerly/exHarmony huggingface dataset:
Ontological approach to development of web-content generation method

The object of research is the process of automated creation of web content based on information presented in an ontological form. One of the most problematic places in web development is the process of creating a user interface. This is due to the fact that this process is complex and requires more time and money than other development stages.During the study, there was applied a software development model, which is, based on the development of an ontology, and then a software application for its processing. This approach is called «Ontology-driven development» (or the software development process controlled by the ontology).An intellectual model is obtained for representing the elements of web resources, which is represented in the form of an ontology, as well as the software core of the system for generating web pages, based on information stored in the ontology. This is due to the process, which is need to obtain a set of finite elements of the user interface (HTML, CSS, JS elements) from which web pages are formed.Setting addressing between pages of a web resource has a number of features. In particular, an appropriate approach was proposed for linking the address of the final web page with the controller, which is responsible for generating its content. These functions are similarly to the so-called «router», which is used in classical web-based systems (e. g. JSP for Java). A distinctive feature of this approach is in the set of information from which the web page is formed. This information, as well as its address is stored and loaded from the ontology.Due to the presented approach, the process of designing and developing of the user interface is simplified in comparison with classical ones. This approach is effective for web projects and, in the perspective, for other applications (desktop, mobile, etc.). Also, the proposed method will increase the possibility of reusing already developed elements of the user interface, as well as ensure the creation of a base of ready-made solutions for the developers in the form of corporate memory.
Improving Students’ Vocabulary Mastery Through Story Telling Strategy and Hand Puppet Media

This study aims to investigate the improvement of students’ vocabulary mastery through story telling strategy and the use of hand puppet media in grade VI of SDN Keras I Diwek Jombang. This was qualitative and quantitative study employing pretest-posttest individual design. The research population was students in grade VI of SDN Keras I Diwek Jombang in semester 2 in the academic year of 2018/2019. The data were collected by three instrument, those are observation sheet, field notes, and test the tests were administered to investigate students’ vocabulary mastery before and after treatment. The test instrument validated through expert judgment by using validation sheet. After tests validated, tests examined to the population in this study. The results of the study showed that the scores of students’ vocabulary mastery in the whole class before treatment were 38.3 in cycle 1 and 42.965 in cycle 2. Meanwhile the average of students’ score after treatment was 79.63 in cycle 1 and 80.63 in cycle 2. From the data, it can be concluded that there were effects or improvement of storytelling strategy and hand puppet media on vocabulary mastery in grade VI of SDN Keras I Diwek Jombang in the academic year of 2018/2019
A Response Assessment on the Implementation of Senior High School TVL Track through Data Mining Technique

This paper re-evaluates the accurateness of the students' responses in the actual evaluation conducted in assessing the implementation of senior high school Technology Vocational Livelihood (TVL) track as basis to curricular intervention program done in some Senior High Schools in the Division of Surigao del Norte, Philippines.In this study, the use of data mining technique particularly the prediction was observed to test the accurateness of the responses as perceived by the 769 senior high school students.The use of the C4.5 algorithm depicted a 71% accuracy when applied in the evaluation dataset when performed using the 10-folds cross-validation scheme in WEKA software.The average accuracy percentage denotes that the findings, technologal philosophy formulated, and the proposed curricular instruction program from actual study is worthy of implementation.It is hoped that the study will contribute to the two major kinds of literature; data mining and in higher education mining.
THE CONDITIONS OF INDEPENDENT WORK OF FUTURE TECHNICIANS-PROGRAMMERS DURING THE USE OF INTERACTIVE ELEMENTS OF THE CONTROLLED FROM DISTANCE COURSE

The article describes the practical experience of the introduction and application of distance learning technology for students of Kharkiv computer-technological college of National Technical University “Kharkiv Polytechnic Institute”. In the course of the study, the conditions of independent work of future technicians-programmers during the use of interactive elements of the Moodle environment on the example of the discipline «Development of client-server applications», are considered. The rational means, forms and teaching methods, which are realised with the help of electronic educational course, are proposed. The advantages of distance learning, which contribute to improving the quality of knowledge and the development of professional competencies of junior specialists, are provided.
Development Of Research Competence Of University Students During Learning Mathematics

The development and implementation of high-tech technologies largely depends on the reproduction of scientific staff potential. In this regard, universities already at the level of bachelor degree program should pay particular attention to the training of students for future research activities.Commonly, graduate bachelors who have entered a Master program are not sufficiently proficient in scientific methods to continue their studies. This fact indicates that in a bachelor program there is a shortage of educational resources for the development of research competence. For the purpose of its development, the authors propose to give more opportunities to scientifically oriented students to show their abilities in academic disciplines. The subject area of mathematics provides great opportunities for the development of mathematical modeling as a method of scientific research, and therefore, the development of research competence of students. In order to use effectively these features, it is advisable to analyze the educational material from the point of view of the idea of individualized learning. In this case, the evaluation criteria may be the possibility of the adaption of educational material for a student and the expansion of the applied spectrum of mathematical information. As a tool for the development of the research competence of students, the authors propose a construction task. Solving this problem a student learns to use mathematical modeling as a method of scientific research.
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation

Learning general latent-variable probabilistic graphical models is a key theoretical challenge in machine learning and artificial intelligence. All previous methods, including the EM algorithm and the spectral algorithms, face severe limitations that largely restrict their applicability and affect their performance. In order to overcome these limitations, in this paper we introduce a novel formulation of message-passing inference over junction trees named predictive belief propagation, and propose a new learning and inference algorithm for general latent-variable graphical models based on this formulation. Our proposed algorithm reduces the hard parameter learning problem into a sequence of supervised learning problems, and unifies the learning of different kinds of latent graphical models into a single learning framework, which is local-optima-free and statistically consistent. We then give a proof of the correctness of our algorithm and show in experiments on both synthetic and real datasets that our algorithm significantly outperforms both the EM algorithm and the spectral algorithm while also being orders of magnitude faster to compute.
The Use of Instagram as a Media to Teach Students' Writing Recount Text

Abstract. The objective of this research is to find out whether there is a significant difference between students’ writing recount text before and after being taught by using Instagram as a media or not. In this research, the researcher used quantitative method and used quasi-experiment as the design of the research. The number of sample is 36 students from X MIPA 4 which are taken by using cluster random sampling technique. The researcher uses test as the instrument of the research. The test is in the form of writing test to know the students’ writing ability before and after being taught by using Instagram as a media. The result of the research shows that the students’ mean score have an improvement from 6.8 to 8.8 and from good categorize to excellent categorize. And the standard deviation from the students score has decreased from 0.89 to 0.83 which means that the students’ post-test score is well distributed than the pre-test score. The calculation of t-test shows that the Ho is rejected and Ha is accepted. It is because the to (t obtain) falls in the critical region and to (t obtain) is more than tt (t critical). The to (t obtain) is 5.3 while the tt (t critical) is 2.042. In conclusion, there is a significant difference between students’ writing recount text before and after being taught by using Instagram as a media. Key Words: Instagram, Media, Recount Text, English Writing
DENİZLİ ÇAL İLÇESİNDE İNTERNET VE MEDYA KULLANIMI İLE BİLGİ KİRLİLİĞİNİN KULLANICILARIN ALIŞKANLIKLARINA YANSIMASI

The phenomenon of social media is now indispensable in daily life.Users can access the daily life information and developments more quickly and easily by following their friends and current events through social media.In addition to easy access to information on social media, we face an important problem such as information pollution.Sites provide ads with false and irrelevant news headlines that can attract users' attention in order to gain more followers.When users are curious about the page, it increases the number of times the pages are displayed.When users read the news, they see that they have no relation to the title.In the study, Information Pollution on the Internet (İKK) scale was applied to artisans and students in Çal district of Denizli in order to measure information pollution.In this study, 387 people were reached and 95% reliability and validity were achieved.Within the scope of the study, the reliability of the information obtained from the social media and the usage period of the social media were compared.It has been revealed that individuals have long social media usage times and find it difficult to distinguish information.In addition, they did not have enough awareness about the information they learned from social media.
Non-negative Matrix Factorization Based Learning from Label Proportions for Vehicle Loan Default Detection

Abstract In traditional supervised learning, the model is trained through a large number of known labels. In reality, the amount of data increases rapidly, and the cost of manual annotation is high. Besides, under the restriction of privacy protection, it is infeasible to obtain labels of a large number of samples. However, the proportion of samples in a certain class can be easily obtained. Thanks to label proportional learning, we can obtain the instance-level classifier merely based on the proportional information. In addition to this, label proportional learning with minor instance-level labeling can potentially improve the accuracy of the model. Hence, in this paper, we propose an improved model based on non-negative matrix factorization to solve semi-supervised label proportional learning, called semi-supervised proportion Matrix Factorization (SPMF). In order to effectively predict car default customers, our method leverage a small number of known labels and the remaining sample label proportional information to construct a classification model. In our experiment, customers defaults can be predicted and high prediction accuracy can be guaranteed. This study is potentially useful for Internet auto financial institutions to properly avoid default risks and establish a more reliable credit rating mechanism. Particularly, our approach provides an alternative way to effectively solve default customer identification under the privacy protection constraint.
A study of semantic augmentation of word embeddings for extractive summarization

In this study we examine the effect of semantic augmentation approaches on extractive text summarization.Wordnet hypernym relations are used to extract term-frequency concept information, subsequently concatenated to sentence-level representations produced by aggregated deep neural word embeddings.Multiple dimensionality reduction techniques and combination strategies are examined via feature transformation and clustering methods.An experimental evaluation on the MultiLing 2015 MSS dataset illustrates that semantic information can introduce benefits to the extractive summarization process in terms of F1, ROUGE-1 and ROUGE-2 scores, with LSA-based postprocessing introducing the largest improvements.
Study on the “Flipped Class Model” of Teaching College English Based on Cloud Class in Private College—A Case Study of East University of Heilongjiang*

This paper analyzes the definitions and application advantages of the flipped class model and the Cloud Class, and summarizes the practical application of the Cloud Class in the college English teaching of private colleges. It is concluded that it is feasible to apply the flipped classroom teaching model to college English classes in private college.
PENERAPAN KRIPTOGRAFI PADA REST API WEB SERVICE STUDI KASUS KAFA PHOTOGRAPHY

High business competition forces businesses to adapt to the needs of increasingly complex information systems. One of the market demands is the ease of conducting transactions that are mobile but still integrated with the company's overall information system. This challenge is also faced by a small business Kafa Photography engaged in the field of photography services for public. This business requires a data access system that is secure and supports multiple interfaces. Utilizing REST web service technology that can be used as a communication bridge between different access technologies can help the intended system integration. To improve the security of business process related information, it is necessary to add a cryptographic data mechanism. This research will develop a middleware utilizing the viginere cipher cryptographic method on REST-based web service services for the Kafa Photography business venture. The results of research in the form of web service architecture which are used as connectors between different applications, namely web and mobile that support business processes. To test the functionality and compatibility of the outcome, researcher use the Postman application tool and the prototype of mobile and web applications. The effectiveness and efficiency of derivative applications that use web services to improve services for Kafa Photography customers are not measured in this study.
STUDENTS’ PERSPECTIVE ON KETRAMPILAN WAJIB BAHASA INGGRIS IN UNIVERSITAS MURIA KUDUS

Due to globalization, the need of English mastery is getting higher. Therefore, it is very important for students to master the international language in order to survive in the global competition. To prepare its alumni with good English competence Universitas Muria Kudus requires all students to pursue Ketrampilan Wajib Bahasa Inggris (English Compulsory Skill) with 0 SKS. This policy has been ruled since 2001 and organized by Language Center of Universitas Muria Kudus. To know whether the program runs effectively, at the end of each semester, there is an evaluation conducted by the instructors along with the head of the Language Center. However, it does not involve the students. Therefore, it is worthy to investigate students’ responses and opinions of the class. This study aims at describing students' perceptions on the learning process of Ketrampilan Wajib Bahasa Inggris in the academic semester of 2014/2015. To achieve the above objectives, this study was conducted by survey. Questionnaires were distributed to 98 students who were selected randomly, out of 498 students joining the class in the academic year 2014/2015. The results of data analysis shows that the learning process of Ketrampilan Wajib Bahasa Inggris class in odd semester academic year 2014/2015 ran well. This is shown from the learning strategies, learning media, learning materials, student interests, students discipline in joining the English course and student mastery were classified as good. Some improvements need to be done so that the quality of learning can be improved due to satisfactory service of Language Center.Keywords: Ketrampilan Wajib Bahasa Inggris, learning, TOEFL.
Perancangan Prototype Alat Pemilah Sampah Otomatis

The amount of waste excessive can be overcome by way of recycling.Before do recycling, the waste must be sorted first.Sorting waste automatically in a huge amount can be done by using infra red sensor, metal sensor, and light sensor.The result of test show that the automatic waste sorting have been able to sort waste according to its kind.But still there are errors in the form of waste that stuck and the error detection by sensors.
Plagiarism as a Way of Preserving a Scientific Result: an Unexpected Case from the History of Pre-Revolutionary Study of the Russian Old Believers

A small story discovered while studying historiography of the 17 th century Russian church schism and of the Old Believers appeared strikingly vital in the epoch of hunt for scientific citations and fight against "improper borrowings" of scientific texts.It is on the article published at 1914 that the currently circulating information is largely based that concerns biography of the monk Avraamii (burned in 1672) -the former holy fool Athanasius, an Old Believer polemic writer, contemporary and follower of Archpriest Avvakum.At the closer examination this artilce, the most extensive and detailed of all ever written biographies of Avraamii, appeared to be a plagiary.Its author, a student of the Kiev Theological Academy, N. Demin, borrowed the text from the work of 1895 written by P. Dobromyslov, editor of the journal "Missionary Collection".It seems to be a matter of chance that researchers who revived the tradition of the Old Belief studies at the second half of the 20 th century became acquainted to the plagiary while the robbed text was left unnoticed aside from the scientific discussion.The case has been complicated additionally by the two decades' chronological gap between the original work and the plagiary, during which researchers found some new documents concerning Avraamii.Taking into consideration these documents, the plagiary author N. Demin offered several hypotheses that laid foundation for a later hypothesis concerning motives of the Avraamii's taking monastic vows.However, the dishonest deed of the Kiev student was not the only cause for the original article of P. Dobromyslov being forgotten.Rather, the main reason for that was ignoring Dobromyslov's article by a recognized pre-revolutionary classic of the Old Belief studies P.S. Smirnov.This circumstance is hard to explain, since Smirnov, the author of the fundamental work "Internal Issues in the Schism in the 17 th Century" (1898), and of a biographical article about Avraamii, very probably was personally acquainted with P. Dobromyslov.To sum up, the investigation of this case discovered a paradoxical story of a research that did not enter the scientific canon, but its result, thanks to the improper borrowing, was not lost for science.
Efficient and Secure Three-Factor User Authentication and Key Agreement Using Chaotic Maps

User authentication and key agreement are essential for implementing secure wireless communication, especially in mobile devices. Many authentication and key agreement schemes are based on both the smart card and the password. Unfortunately, most of these schemes are vulnerable, such as password guessing attack and smart card loss attack. Recently, Han et al. proposed a three-factor key agreement and authentication scheme by using fuzzy extractor and chaotic maps. However, it is proved that Han et al.’s scheme can not protect user anonymity and involves some redundant operations. To address the security defects, we proposed an improved user authentication and key agreement scheme. Although our scheme incurs slightly delay than others, it can resist various attacks. Moreover, our scheme is efficient for practical application deployments compared with other previously proposed user authentication schemes.
Sistem Informasi Manajemen Logistik dan Peralatan Studi Kasus: BPBD Kabupaten Wonogiri

&lt;em&gt;Almost all sub-districts in Wonogiri Regency have the potential to be vulnerable to natural disasters ranging from landslides, fires, floods, whirlwinds, moving land, sinking land, and drought. Losses arising from the disaster in the form of damaged homes and fatalities. Warehouse management aims to ensure the availability of logistical support and equipment at all times. An information system is created to monitor expiration dates, calculate aid allocations, and document movement of goods to calculate stock. Food logistics is prone to expiration, so it must be monitored so that it is in good condition for assistance. Calculating the allocation of aid is done to find out the number of days needed to make further distribution adjustments. The allocation calculation uses the fair share allocation method. The results achieved are managing category data, source of procurement data, sub-district data, village data, disaster data, item data, inventory data, expired data, incoming goods data, detail data of incoming goods, improper goods data, post data, calculated data, outgoing goods data, detail data of outgoing goods, and borrowing data.&lt;/em&gt;
A passion for the profession: a festschrift honoring Erich Meyerhoff

An introduction to a series of essays honoring Erich Meyerhoff (1919-2015), AHIP, FMLA, who was active in and contributed to the Medical Library Association for generations.
Data Curation for Big Interdisciplinary Science: The Pulley Ridge Experience

The curation and preservation of scientific data has long been recognized as an essential activity for the reproducibility of science and the advancement of knowledge. While investment into data curation for specific disciplines and at individual research institutions has advanced the ability to preserve research data products, data curation for big interdisciplinary science remains relatively unexplored terrain. To fill this lacunae, this article presents a case study of the data curation for the National Centers for Coastal Ocean Science (NCCOS) funded project “Understanding Coral Ecosystem Connectivity in the Gulf of Mexico-Pulley Ridge to the Florida Keys” undertaken from 2011 to 2018 by more than 30 researchers at several research institutions. The data curation process is described and a discussion of strengths, weaknesses and lessons learned is presented. Major conclusions from this case study include: the reimplementation of data repository infrastructure builds valuable institutional data curation knowledge but may not meet data curation standards and best practices; data from big interdisciplinary science can be considered as a special collection with the implication that metadata takes the form of a finding aid or catalog of datasets within the larger project context; and there are opportunities for data curators and librarians to synthesize and integrate results across disciplines and to create exhibits as stories that emerge from interdisciplinary big science. <em>The substance of this article is based upon a poster presented at RDAP Summit 2019.</em>