Reviewerly/exHarmony huggingface dataset:
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Axiom-based Probabilistic Description Logic

The paper proposes a new type of probabilistic description logics (p-DLs) with a different interpretation of uncertain knowledge. In both approaches (classical state of the art approaches and the approach of this paper), probability values are assigned to axioms in a knowledge base. While In classical p-DLs, the probability value of an axiom is interpreted as the probability of the axiom to be true in contrast to be false or unknown, the probability value in this approach is interpreted as the probability of an the axiom to be true in contrast to other axioms being true. The paper presents the theory of that novel approach and a method for the treatment of such data. The proposed description logic is evaluated with some sample knowledge bases and the results are discussed.
A Comparative Study of Javanese and English Refusals to Invitations Used by Javanese Learners of English

This research describes the use of politeness strategies in Javanese and English refusal to invitations by Javanese learners of English in Muhammadiyah University of Surakarta. This research is descriptive qualitative research. In this research participated by forty Javanese learners of English at first semester at English department, Muhammadiyah University of Surakarta with Javanese background. The data were spoken utterances, of refusal strategies obtained through oral DCT (Discourse Completion Task) scenarios. The subjects of the research were taken using proportional random sampling technique consisting twenty males and twenty females of Javanese learners of English participants. The writer analyzed the data of refusal strategies based on Beebe et al. (1990), while that of politeness were analyzed based on Brown and Levinson (1987). The findings indicate that there are similarities and differences among the Javanese and English refusals. Both groups preferred using direct refusal strategies. The participants between those English and Javanese generally used similar sequential orders, although differences were found due the variations of semantic formula and adjunct which were particularly used to express politeness.
Utilizing Relevant RGB–D Data to Help Recognize RGB Images in the Target Domain

Abstract With the advent of 3D cameras, getting depth information along with RGB images has been facilitated, which is helpful in various computer vision tasks. However, there are two challenges in using these RGB-D images to help recognize RGB images captured by conventional cameras: one is that the depth images are missing at the testing stage, the other is that the training and test data are drawn from different distributions as they are captured using different equipment. To jointly address the two challenges, we propose an asymmetrical transfer learning framework, wherein three classifiers are trained using the RGB and depth images in the source domain and RGB images in the target domain with a structural risk minimization criterion and regularization theory. A cross-modality co-regularizer is used to restrict the two-source classifier in a consistent manner to increase accuracy. Moreover, an L 2,1 norm cross-domain co-regularizer is used to magnify significant visual features and inhibit insignificant ones in the weight vectors of the two RGB classifiers. Thus, using the cross-modality and cross-domain co-regularizer, the knowledge of RGB-D images in the source domain is transferred to the target domain to improve the target classifier. The results of the experiment show that the proposed method is one of the most effective ones.
LANGUAGE LEARNING DESIGN FOR PRONUNCIATION INSTRUCTION: LISTEN-AND-READ METHOD

Regardless fewer studies have been conducted in pronunciation teaching, pronunciation has a significant role in language learning to make the meaningful communication occured, as pronouncing word in different ways will cause different in meaning of the word. Therefore, this article concentrated on the innovative language learning design particularly in pronunciation instruction in an EFL setting, in order to improve the students’ phonemes of English, and their listening skill as well. This was a classroom research based on observation carried out in a class consisted of 26 students with basic proficiency level. The observation was conducted once a week in a 2x50 minutes teaching time, for 16 meetings. The last 25 minutes learning time was set for pronunciation. The procedure consisted of three activities: brainstorming words, applying the ‘listen-and-read’ method, and carrying out evaluation. The findings indicated that there was a significant improvement on students’ ability in recognizing the sound of the language, and at the same time improving their pronunciation on being intelligible and comprehensible
An Analysis On Strategy Used by Male and Female Teacher in Teaching Reading Comprehension at SMK N 2 Sragen in 2018/ 2019 Academic Year

The use of appropriate strategies with student characteristics can help in reading comprehension. Regardless to this matter, this research has purpose to describe the implementation of strategies applied by the male and female teachers of SMK N 2 Sragen in the teaching and learning process of English reading skill in the tenth grade. This research employed descriptive qualitative research. The data collection technique applied in this research were observation, interview, documentation and visual materials, and deciding the protocol of information record. The data analysis consists of three streams of activity, they are data reduction, data display, and drawing conclusion or verification proposed by Miles and Huberman (1984: 21-23). Triangulation technique used in this research was by using triangulation method. Based on the findings of the research, it was found that the male English teacher at the tenth grade showed that generally, the male teacher used various teaching strategies in teaching reading comprehension. They are memorizing, question answer relationship and game. The response of the students on the strategies applied by the male English teacher were positive, and the most favorite strategy is game used by the male teacher. Meanwhile, female teacher applied two strategies, they are game and the strategy of SQ4R in teaching reading comprehension which include Survey, Question, Read, Recite, Record, Review. The findings on students’ respons toward the use of strategy in teaching reading comprehension by the female English teacher showed that they like following the teacher’s lesson. The teachers’ way in teaching reading games like crossword puzzle and picture match motivate them to laern reading and feel easy to understand the material.
慈育大学中文系一至四年级学生综合课预习情况研究 (STUDY ON THE COMPREHENSIVE COURSES PREPARATION FOR STUDENTS IN GRADES 1 TO 4 OF THE CHINESE DEPARTMENT OF BUNDA MULIA UNIVERSITY)

This study is mainly to understand the comprehensive class preparations (preview) done by the first to fourth grade students of the Chinese Department of the Bun da Mulia University, to understand their methods and effects, and to find out the factors that affect their preparation. Hope through this research we can clearly understand the students' comprehensive class preparations and find out the factors that affect their preparation and find solutions. This research used questionnaire to collect data. The results obtained from the analysis of the data are as follows: students have a certain understanding of the importance of the comprehensive class preparation, but they are not active; students think that the preparation can make it easier for them to understand the lessons taught by the teachers, develop self-learning ability and independent thinking ability, improve their abilities; teachers often arrange preparation for students, but there are very few preparation guides; some students who do not like to do preparation before class will also do the preparation; the factors that affect students' preparation are: fatigue, too difficult or too complicated content, work, etc. Students must learn to divide the timing of study and other activities, and not allow other activities to affect the time students spend. Students also need guidance in the preparation, so we hope teachers may provide guide book for students as they'll be needing it for do the preparation before class.
Information Security in an Internet of Things Network Based on Blockchains and User Participation

The amount of connected Internet of Things devices has seen a large growth during the last couple of years and shows no signs of slowing down. Considering the momentum of the technological advancem ...
An Extended Approach for Data Privacy in Cloud-Based on Word Encryption

Today outsourcing sensitive data to the cloud server is a major concern. Encrypting this data is one such solution to the problem which hides the actual data from the server. Even, the index is encrypted for further protection. In most of the data privacy algorithms, the index is constructed on the original file and then both index and document are encrypted. However, leakage of the secret key allows the cloud server to decrypt and figure out the data. This motivated us to propose a method based on the encryption of every word in a file. This method achieves its efficiency by applying a new idea where index is constructed on these encrypted words. The algorithm further ensures the security by encrypting the search query passed by the subscriber. Hence, the search is only on encrypted words in the index. The cloud server is oblivious of the data in all ways
An Agent-Based Approach for Cleanup Problem: Analysis of Human-Like Behavior

Neural networks for solving complex tasks need not have a structure similar to a brain. From the macro perspective, it is meaningful to utilize a neural network that has the functions of an organism in order to grasp the intelligence of organisms. We focused on the fact that memory, for-getting, and the various information perception functions of humans can be represented by a self-organizing map (SOM), and we considered a SOM-based agent that autonomously changes its behavior while observing the behavior of others, like a human. In this study, we conducted a multi-agent simulation using the SOM-based agent on a cleanup problem consisting of a chain of tasks of picking up and disposing of garbage routinely carried out by humans, and verified the human-like behavior observed in the agents. Consequently, we confirmed that the comparatively optimal behavior of agents is derived and their human-like cooperative and altruistic behavior emerges when they mildly observe others.
Optimalisasi Perpustakaan Sekolah SebagaiSumber belajar Pada Siswa Kelas Atas Di PYP AlFirdaus WCIS surakarta

Ningrum Intan Pertiwi / A510150073.OPTIMIZATION OF SCHOOL LIBRARYAS A LEARNING SOURCE IN THE TOP CLASS STUDENTS IN PYP ALFIRDAUS WCIS SURAKARTA.Essay.Teacher Training and Education Faculty,Muhammadiyah University Surakarta. July, 2019.The research aims (1) to describe library optimizationas a source of learningfor upper class students; (2 the use of the school library as a learning resource forupper class students; (3) the obstacle and solutions to the use of the library as asource of learning for upper class students at PYP AL-FIRDAUS WCIS Surakarta.The type of the research is qualitative research, with a single case study design. Datacollection techniques using interview, observation, and documentation.Data analysistechniques ofthe research are interactive model.The validity of the data uses sourcetriangulation and technical. The results of the reserach shows that; (1) themanagement of the school library has been running well, the library has an agendasuch as a literacy competition; (2) the use of the library at least once a week duringliteracy hours, and the library is used as a place for discussion by students andteachers; (3) There are obstacles from the use of the school library as a learningresource such as library facilities that are not feasible, it’s not immediatelyseparated and the literacy schedule is on the same with other class; (4) the solutionsto minimize the obstacles in utilizing school library as a source of learning byseparating facilities that are not feasible and updating literacy schedules.
Double-frequency TPU method with geometric constraints and polynomial adjust

The main problem in the double-frequency algorithms is the sensitivity to noise, it is amplified when the ratio between the high frequency and the low one is large. Different proposals have been published with the intention of reducing the impact of noise. One of the most effective is the Hyun and Zhang’s algorithm which include geometric constraints to unwrap the low-frequency map without needing the unit-frequency phase map. Inspired in the Hyun and Zhang’s work, in this paper a double-frequency TPU algorithm is proposed. This does not require the calibration of the projector and instead a polynomial adjust is used to related the variations in z with the low-frequency unwrapped phase maps. Experiments successfully verified the performance of the proposed method, it was tested with low-frequency phase maps different from unit-frequency map.
Sistem Informasi Pengelolaan Event Konferensi di CV. Nyebar Inspirasi Nusantara

CV. Nyebar Inspirasi Nusantara is a business entity engaged in the field of event management, one of which is a conference. The conference is an event or means for meetings and sharing between speakers who submit papers or the results of their research. Related to those needs, it requires a lot of human resources involved, so that it also influences the financial needs for implementation, causing a system to be used to manage the process. From this problem a web-based conference management information system was developed that was able to handle all conference management. The method used in this study uses the waterfall method which has several stages including analysis, design, development, testing and implementation. The final results in this study are to produce a system that is able to overcome problems in managing the conference. Based on the black-box test results that the system can work well, as well as the results of usability testing indicated satisfaction of respondents, namely conference manager, presenter, reviewer and participant with an average of 72.42 which can be concluded that the system is in the good category and can be accepted by the user.
Reifying default reasons in justification logic

The main goal of this paper is to argue that justification logic advances the formal study of default reasons. After introducing a variant of justification logic with default reasons, we first show how the logic can be used to model undercutting attacks and exclusionary reasons. Then we compare this logic to Reiter’s default logic interpreted as an argumentation framework. The comparison is done by analyzing differences in the way in which process trees are built for the two logics.
Pulse Repetition Interval Time Series Modeling for Radar Waves using Long Short-Term Memory Artificial Recurrent Neural Networks

This project is a performance study of Long Short-Term Memory artificial neural networks in the context of a specific time series prediction problem consisting of radar pulse trains. The network is ...
Features and Characteristics of the Suweon area protests during the March 1st Movement

Examined in this article are the Manse protests that took place in the Su’weon area during late March and early April 1919, when the Manse protests and the March 1st movement itself reached its peak. Activities in Su’weon are reviewed here in terms of leaders, methods, and how they were suppressed by the Colonial authorities.BR In Su’weon, Manse protests actively took place since its beginning during mid-March, and escalated till it reached its peak in late March, early April. In Seong’ho-myeon Osan-ri, Songsan-myeon Sagang-ri, Hyangnam-myeon Bal’an-ri, Jang’an-myeon Suchon-ri, and Wujeong-myeon Hwasu-ri, the Joseon people attacked Myeon centers, administrative offices(Jujae-so), postal offices and shops run by Japanese, even set fire on them, and killed Japanese police.BR The March 1st movement in Su’weon vividly shows us how a peaceful action that began on March 1st 1919 gradually turned into violent activism later on. With the Manse protests gaining momentum, people who had been serving at the very bottom of colonial ruling, like Myeonjang figures, clerks at the Myeon offices and even minor Gujang figures all began to plan violent attacks on whatever they found as colonial targets. In response to all these attacks, arsons and killings, the Joseon Governor General office retaliated with bloody retribution, which also led to the Je’am-ri massacre.
Pengaruh Media Animasi pada Model Pembelajaran CTL (Contextual Teaching Learning) terhadap Minat Belajar Peserta Didik Kelas 4 SD N Kleco 2 Surakarta Tahun Pelajaran 2018/2019

The purpose of this study was to: (1) describe the effect of animation media in CTL learning model on the learning interests of 4th grade students in SD N Kleco 2 Surakart. This research is an experimental research. Data collection techniques is questionnaires. The data analysis technique is the t-test to test the hypotheses that previously tested the prerequisite analysis with the normality and homogeneity test. The results of data analysis with a significance level of 5% were obtained tcount - (21.45) <- ttable (2.002) <ttable (2.002), then H0 was rejected and Ha was accepted so it can be concluded that there was an effect of animation media in CTL learning model on participants' learning interests students.
Approaches and technologies for the formation of future specialists' motivation

The motivation of future teachers in their profession is very important, since this profession requires the specialist to give themselves, altruism and sacrifice. The future specialist - teacher should form all the necessary qualities that are necessary for the teacher in practical activities. Competences that will be implemented in the future activities of the teacher, are formed due to the desire of the student teacher to get the necessary knowledge. And this is the presence of motivation to learn. Motivation may be formed under the influence of the teacher’s efforts, and may already be formed by the time a student enters the teacher training center. The article provides an overview of the methods for determining and adjusting the motivation for training future professional teachers.
Software Quality Prediction Using Machine Learning Application

Machine learning is one of the applications of AI which enables analysis of massive quantities of data. While it generally delivers quicker, more precise results in order to recognize profitable opportunities or hazardous risks, it may also entail additional time and resources to train it appropriately. This paper presents the survey of machine learning application in the development of software quality. Development of software quality becomes more important in real world scenario but lots of work done by various author for this. In this we discuss various machine learning techniques such as Bayesian classifier, Neural Network, decision tree and genetic algorithm etc. which helps the researchers for the better prediction of software quality.
Investigating Continuous Delivery as a Self-Service

Continuous Delivery (CD) has today become an essential part of software development for a reliable and automated quality assurance process. However, the challenge of introducing CD starts with setting up a CD pipeline and providing the necessary infrastructure for it, which may take a considerable amount of time and require expertise knowledge. This complex and costly implementation will also require maintenance once in use. The expertise required for CD is not always available in smaller teams making the QA process suffer. That is, why this master thesis has researched how software development teams can setup and maintain CD without needing expertise with a Self-Service. By look into usability, maintainability and cost aspects, a requirement specification for a Minimum Viable Product was set. A proof-of-concept design of a service was drawn up and validated with a small team by testing Software as a Service tools. (Less)
MENINGKATKAN AKTIVITAS BELAJAR PESERTA DIDIK MELALUI MEDIA PEMBELAJARAN

Media as one component in teaching and learning activities is chosen on the basis of the objectives and learning materials that have been set. This study aims at finding the various benefits of using media in improving students’ learning activities. Therefore, educators as subjects of learning must be able to develop the right media, so that the learning material delivered can be accepted by students well. In addition, the media also has a function to overcome boredom and fatigue resulting from an educator's explanation that is difficult to understand. Educators must be able to determine or decide on the right media and in accordance with the subject matter so that the learning media will facilitate students in understanding the material presented.
Exploring Differential Obliviousness

In a recent paper Chan et al. [SODA '19] proposed a relaxation of the notion of (full) memory obliviousness, which was introduced by Goldreich and Ostrovsky [J. ACM '96] and extensively researched by cryptographers. The new notion, differential obliviousness, requires that any two neighboring inputs exhibit similar memory access patterns, where the similarity requirement is that of differential privacy. Chan et al. demonstrated that differential obliviousness allows achieving improved efficiency for several algorithmic tasks, including sorting, merging of sorted lists, and range query data structures. In this work, we continue the exploration and mapping of differential obliviousness, focusing on algorithms that do not necessarily examine all their input. This choice is motivated by the fact that the existence of logarithmic overhead ORAM protocols implies that differential obliviousness can yield at most a logarithmic improvement in efficiency for computations that need to examine all their input. In particular, we explore property testing, where we show that differential obliviousness yields an almost linear improvement in overhead in the dense graph model, and at most quadratic improvement in the bounded degree model. We also explore tasks where a non-oblivious algorithm would need to explore different portions of the input, where the latter would depend on the input itself, and where we show that such a behavior can be maintained under differential obliviousness, but not under full obliviousness. Our examples suggest that there would be benefits in further exploring which class of computational tasks are amenable to differential obliviousness.
News in the editorial team

We are delighted to welcome Professor Jennifer M. Case as new Associate Editor of the European Journal of Engineering Education. She joined the editorial team in January 2019.We invited Jenni Case ...