Reviewerly/exHarmony huggingface dataset:
Update from the Standards Vice President: Immersive Media

<fig orientation="portrait" position="float" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <graphic orientation="portrait" position="float" xlink:href="devli-2911817.tif"/> </fig> Whether it’s 360° video, augmented reality, virtual reality, immersive sound, or object-based audio, you’ve probably had some experience with Immersive Media (the technology, not the company) in the past 12 months. The most common experience is to look at a social media picture on your phone and then, as you move the device, the picture pans in front of your eyes. This is known as the magic window viewer and is, in many ways, the simplest way to experience immersive visual media. It does not require an expensive headset, nor does it require a 40-core server to dynamically render gigabytes of video while simultaneously heating your room with the excess heat from all that computation.
A framework for the consensus decision-making based on arguments and common knowledge formation

In an argumentative dialogue, agents exchange arguments to approve or disapprove a decision alternative. The problem arises when a group of agents with incomplete information needs to reach consensus on the decision. This study proposes a framework for decision-making where the argumentative agents can build the necessary common knowledge to make a decision based on every formula of the exchanged arguments. Each formula receives votes indicating either support or rejection. When a formula receives more supporting votes than rejection ones, that is, it is accepted by the majority, it becomes common knowledge. In this case, there is a consensus about that information, which influences the strength of the argument comprising the formula. The framework for decision-making permits to analyze the arguments related to every decision alternative and rank them based on the strength of the arguments. This framework is an alternative for existing ones based on preferences expressed by numerical values, allowing agents to explain the rationale behind the decisions.
Assessing Students� Speaking Skills at 2nd Semester Students of English Study Program IAIN Curup

Speaking skill in English language learning is sometimes difficult for learners. Some students in second semester in IAIN Curup at English study program experienced errors in daily communication. This research tried to disclose what errors that the students did, to what extent the errors occurred. Qualitative approach was considered appropriate in this research because it did not try to generalize the findings but to deepen the case. Observation and open-ended Interview were applied to gather the data. As the instruments, field notes and voice recorder were utilized. The result shows that the students made errors in the four categories namely error in the using of be + adjectives, misplace be present time and past time, missing verbs and error in applying preposition. Errors occurred in the circumstances of choosing sentence verbs time signal and the lack of awareness in placing be for a sentence. Keywords: Speaking errors, grammar, sentence construction
Pengaruh Motivasi Belajar Terhadap Kemampuan Membaca Pemahaman Mahasiswa STBA-PIA Semester

The aim of this research was to find whether learning motivation had a significant effect on the 5th semester of STBA-PIA students’ reading comprehension in Mandarin. This research applied ex post facto design and random sampling. The population of this study was 170 students majoring in Chinese Literature at STBA-PIA in academic year 2013/2014. The sample was 50 students. The data was collected by using questionnaire to find their learning motivation and HSK 5 test. The data was analysed by using validity test, reliability test, data description and ttest. This study showed that tcount was 7.674 and ttable (dk=48) was 1.67. The tcount &gt; ttable (7.674 &gt; 1.67) which showed that there was a significant effect of learning motivation on the 5th semester STBA-PIA students’ reading comprehension in which the significant level was 5%. Ha was accepted while Ho was rejected.
An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles

This work uses outlier ensembles to detect fraudulent calls in telephone communication logs made on the network of POST Luxembourg. Outlier detection on high-dimensional data is challenging and developing an approach which is robust enough is of paramount importance to automatically identify unexpected events. For use in real-world business applications it is important to obtain a robust detection method, i.e. a method that can perform well on different types of data, to ensure that the method will not impact that business in unexpected ways. Many factors affect the robustness of an outlier detection approach and this experimental analysis exposes these factors in the context of outlier ensembles using feature bagging. Real-world problems demand knowledge about possible candidate approaches that address the problem, and decide for the best performing method using a train-test split of labeled data. In the unsupervised setup the knowledge about performance is missing during the learning phase thus is difficult to decide during that phase. Hence, in this setup it is important to know about how the performance is affected before the learning phase. Hence, this analysis demonstrates that despite the collective power of outlier ensembles they are still affected by i) data normalization schemes, ii) combination functions iii) outlier detection algorithms.
APIUaaS: a reference architecture for facilitating API usage from a data analytics perspective

Source code examples are key resources for software developers to learn application programming interfaces (APIs) and to understand corresponding usage patterns. Developers usually have to utilise, evaluate and understand code examples from multiple sources, which involve heavy manually processing efforts. To reduce such efforts, there has been growing interest in developing source code mining and recommendation systems. This study proposes API usage as a service (APIUaaS), a reference architecture for facilitating API usage, which allows infrastructures to be built for recommending proper API code examples based on semi-automatic data analytics. This reference architecture contains five logical layers and six global-level architectural concerns. API queries are accepted from programmers, and corresponding code example candidates are extracted from the data sources layer. The detailed structural links between API elements and source codes are captured and stored in the data model & code assets layer. During the recommendation phase, API usages mining, clustering and ranking algorithms are enabled in the knowledge discover & intelligent model layer. Services such as code assist and bug detection are assembled in the API usage services layer. Finally, the authors evaluate APIUaaS from three perspectives: rationality, feasibility, and usability.
LEXICAL METAPHOR IN PRINTED CAR ADVERTISEMENTS

This study deals with the use of Lexical Metaphor in Printed Car Advertisements. The objective of the study was to describe the types of lexical Metaphor used in Printed Car Advertisements and to elaborate the reasons why those kinds of lexical metaphor used in that way. This study was conducted by using descriptive qualitative research. The source of data was taken from slogan of magazines and brochure which containing 28 texts printed. The data were analyze using content analysis technique by describing the kinds of lexical metaphors. The data obtained through purposive sampling technique with focused on the lexis (words) that contained of lexical metaphors., the realization of lexical metaphor and the reason were analyzed by using systematic functional linguistic approach. The instrument in this study was the researcher itself. The result showed that there are eight concepts of lexical metaphor, namely Noun-Noun, Noun-Verb, Noun Adjective, Intransitive-Verb, Adjective-Adjective, Intransitive_Verb-Noun, Noun-Pronuon, Verb_Pronoun. The findings showed that advertisers construct different slogan for persuading the consumers or to positively dispose toward their brand. As a form of marketing strategy, advertising ideology work and it played an important role to beautify or describe his literature, feeling and thought. Potentially to make specific product or brand name more appealing and memorable. The reason were attention getting, persuasion, innovation and creativity, prestige, technological words, to fun and memo ability cause the owner thought that tag line/branding cannot translate directly in English the message cannot deliver well consumers because English has own term in the market/business.Keywords: Metaphor, Printed advertisement, Lexical.
LEECH�S POLITENESS PRINCIPLE IN LENONG BETAWI HUMOROUS DIALOGUE ENTITLED �ANAK DURHAKA�

Lenong Betawi is one of community theatrical performance that still exists. It has a significant role in criticizing current social life. This paper aims to find Leech�s politeness principle in the Lenong Betawi humorous dialogue entitled �Anak Durhaka.� A story staged by Sanggar Surya Kencana group and held by Betawi Culture Institute. The method used was a content analysis by using politeness principle of Leech. The percentage results of fulfillment politeness maxims obtained 12.28% for agreement maxim, 10.52% for tact maxim, 8.11% for sympathy maxim, 2.41% for generosity maxim, 1.97% for approbation maxim, and 0.87% for modesty maxim. It means that agreement maxim as the highest and modesty maxim as the lowest fulfillment politeness maxims in Lenong Betawi humorous dialogue. Meanwhile, the percentage results of violation politeness maxims obtained 9.21% for agreement maxim, 2.63% for tact maxim, 13.81% for sympathy maxim, 4.16% for generosity maxim, 20.83% for approbation maxim, and 13.15% for modesty maxim. It means approbation maxim as the highest and tact maxim as the lowest violation politeness maxims in Lenong Betawi humorous dialogue. Finally, it can be concluded that the violation politeness maxims is more found than fulfillment politeness maxims in Lenong Betawi humorous dialogue entitled �Anak Durhaka.�
PENGEMBANGAN BAHAN AJAR BERDASARKAN PENDEKATAN SAINTFIK UNTUK SISWA SMP NEGERI 2 SUNGAI LIMAU

Problems found in Sungai Limau 2 Public Elementary School toward teacher books and student books that researchers did still find material substance that is not in accordance with the 2013 curriculum. This research is research & development (R & D). This study aims to describe the feasibility of teaching materials in validity, effectiveness and practicality. Research and development is a research method used to develop or validate products used in education and learning. The development of teaching materials is based on the development of the ADDIE model (analysis, design, develop, implement and evaluation). First, the analysis phase is the first stage carried out by someone developing a learning module. Secondly, the design is based on what has been formulated in the analysis phase. Third, the development stage, namely the production stage, everything that has been made in the design stage is then realized. Fourth, the implementation phase is the implementation of the learning module that is ready for student use. Fifth, evaluation phase, which can be done in formative and summative forms.The results of the study show that short story text teaching materials based on the developed scientific approach are valid, practical, and effective.
Design and Implementation of MOOC Platform Based on Computer Network Technology

This paper describes the design and implementation of MOOC platform for network technology major of wuhan polytechnic. It mainly includes the functions of the MOOC platform and the teaching methods based on the MOOC platform. And the realization of MOOC platform functions.
Implementing Automaton Behavior with Fuzzy Controllers

Structural diagrams of control automata using fuzzy controllers for building control systems are proposed, types of behaviors of such automata that differ from the traditional ones by the possibility of parametric and structural adaptation of behavior, the formation of parallel activity relative to the state activity interval are described.Examples of the use of the proposed functional structures are given.
Correction to: Weighted feature-task-aware regularization learner for multitask learning

In the original version of this article, some errors were retained in copy-editing. They are corrected as follows.
Chatbot for Healthcare System Using Artificial Intelligence

Healthcare is very important to lead a good life.However, it is very difficult to obtain the consultation with the doctor for every health problem.The idea is to create a medical chatbot using Artificial Intelligence that can diagnose the disease and provide basic details about the disease before consulting a doctor.This will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot.The Healthcare AI Chatbot can perform various tasks, including symptom checking, medication reminders, appointment scheduling, and general health information.The chatbot can also provide users with virtual consultations, which can be useful in situations where the user is unable to visit a healthcare professional in person.
Investigating the Impact of BA (English Literature) Components in Enhancing the Confidence Level of Students

The focus of this study is the confidence level of students of the Bachelor of Arts (English Literature) degree programme at a University or Post Graduate Level Colleges in Lahore, Pakistan. The research was conducted to measure the impact of a few components of the BA (English Literature) degree program in building the confidence level of students. For purposes of this study the primary data was collected using a questionnaire. A set of 150 questionnaires was distributed to the subjects of the study. There were 35 questions divided into 5 groups in the questionnaire. The data was collected from the students of the BA (English Literature) degree program and the faculty members of the University of Education, Lahore, Government Degree College Samanabad and Women Islamia College, Cooper Road Lahore located in the Lahore region. The variables used in the study were components like teaching skills and communication, academic curriculum structure, non-academic curriculum structure, code of conduct and social activities. The SPSS analysis revealed a great impact of the BA (English Literature) degree program in building the confidence levels of students. The study concluded that the BA (English Literature) degree program is of much benefit to students in their future careers.
Analysis of Factors Affecting Digital Textbook Pricing in Korea

The use of paper books for teaching and learning has many limitations in terms of cost and efficiency. The advantages of digital textbooks are emphasized in many studies. Researchers say that the use of digital textbooks as mediators of the 21st century provides the ability to solve a variety of educational and learning problems for the future. However, many stakeholders in education, such as teachers, students, parents, publishers and educators, are not prepared to accept it and infrastructure is incomplete. In Korea, digital textbooks are used in classrooms in 2018. Publishers are creating new digital textbooks containing sophisticated digital content in accordance with government guidelines, teachers want to create customized lessons for each student level, and profitability and market expectations are changing the importance of digital asset pricing in the textbook market. In this paper, we explore factors that affect digital textbook pricing, to help publishers maximize revenue over their product lifecycle.
Construction and Practice of an Excellent Grass-Roots Level Teaching Units in Colleges and Universities

It is of great significance to build an excellent grass-roots level teaching unit for improving a professional teaching quality and a course teaching level in colleges and universities. This paper discusses the requirements and evaluation standards for constructing an excellent grass-roots teaching units in colleges and universities from following aspects: rules and regulations construction, teaching team construction, teaching organization process, curriculum and textbook construction, teaching research, specialty construction, practical teaching, condition guarantee and talent cultivation ability. Combined with relevant standards, a practical process of building an excellent grass-roots teaching unit is discussed for the Department of Light Industry Machine, Zhengzhou University of Light Industry. Related works of constructing an excellent grass-roots teaching unit for the Department of Light Industry Machinery, Zhengzhou University of Light Industry, improves the specialty construction level and provides reference for the construction of peer units in colleges and universities.
Ranking Loss: A Novel Metric Learning Method for Person Re-identification

Person re-identification is the problem of matching pedestrians under different camera views. The goal of person re-identification is to make the truly matched pedestrian pair rank as the first place among all pairs, with the direct translation in math language, which equals that the distance of matched pedestrian pair is the minimum value of the distances of all pairs. In this paper, we propose a novel metric learning method for person re-identification to learn such an optimal feature mapping function, which minimizes the difference between the distance of matched pair and the minimum distance of all pairs, namely Ranking Loss. Furthermore, we develop an improved version of ranking loss by using p-norm as a smooth approximation of minimum function, with the advantage of manipulating parameter p to control the distance margin between matched pair and unmatched pair to benefit the re-identification accuracy. We also present an efficient solver using only a small portion of pairs in computation, achieving almost the same performance as using all. Compared with other loss function, the proposed ranking loss optimizes the ultimate ranking goal in the most direct and intuitional way, and it directly acts on the whole gallery set efficiently instead of comparatively measuring in small subset. The detailed theoretical discussion and experimental comparisons with other loss functions are provided, illustrating the advantages of the proposed ranking loss. Extensive experiments on two datasets also show the effectiveness of the proposed method compared to state-of-the-art methods.
Actual past: interaction and balance of interests of the academy of sciences and the Russian state in the XVIII – early XX century. Outlines of history

Saint Petersburg: Renommée Publishing House, 2018. V. I. 704 p. V. II. 642 p. Series “Ad fontes. Materials and studies on the history of science.” Issue 9
Pengaruh Disiplin Siswa dan Sarana Prasarana terhadap Prestasi Belajar Siswa di SMAN 9 Kota Tangerang

The purpose of this study is to analyze the influence of Student Discipline and Infrastructure Facility to Student Achievement Achievement in SMAN 9 Kota Tangerang Banten. The research method used is quantitative method through the spreading of questionnaires with population number 191 and the sample is 129 respondents, based on slovin formula. Based on the results of research using partial and multiple linear regression analysis with the help of SPSS version 23 shows that partially indicates that the Discipline Students have a positive and significant influence of 30.7% on Student Achievement, partially indicate that the infrastructure has no positive and significant effect of 3.4% against Student Achievement.Partially, both results indicate that student discipline and facilities of Infrastructure are jointly tested by F test proved to have a positive and significant influence on Student achievement siswadan influence magnitude seen from niali coefficient of determination (R²) is 9.4%
The Effectiveness of a Training Program Based on Problem Solving Strategy in Developing Classroom Management Skills for University Students

The study aimed at measuring the effectiveness of a training program based on problem solving strategy on developing the classroom management skills of the university students.The study followed the quasi-experimental method and the used tools were an observation card of the student's management skills during his teaching in the classroom and a problem-based training program.The study sample included )58( female university students during the first semester of the year 1437 -1438 H.The results showed that the overall average of the classroom management skills corresponds to the )always( score for all skills except the skills )communication and evaluation( corresponding to the degree (often).There are also statistically significant differences at the level of )α=0.01( of classroom management skills between pre-performance and post-performance.All these differences were in favor to the average grade of students in the post-performance.The study recommended enhancing the management skills of female students in the undergraduate stage and developing them through holding training courses for female students.
Education Improvement Technique

Before following any teaching technique, it is very important to Learn the Learner and then to implement the teaching technique based on the learner's capability.Hence, I propose Learner -centered Teaching methodology [LCTM] or Student -Centric Teaching Technique [SCTT].Understudy focused adapting, otherwise called student focused training, extensively incorporates strategies for instructing that a shift with the focal point of guidance from the teacher to the students.Learners focused learning scopes individuals interests first, recognizing students voice as key to the learning background.
A Sentiment Polarity Classifier for Regional Event Reputation Analysis

It is important to analyze reputation or demands for regional events, such as school festivals. In our previous works, we proposed sentiment polarity classification based on bag-of-words models and found that the traditional models were poor at classifying negative tweets. To improve the performance, we employed several classifier models based on deep learning models. In this paper, we described how to improve the performance of the sentiment polarity classification using deep learning models. We compared the performance of four models in terms of the classification accuracy and the training speed. As a result, we found that the CNN-based model, three words convolutions, was best among the four models. As the application, we also described the overview of a system based on the classifiers, which supports to analyze regional event reputation. We showed a case of a regional event analysis of a school festival by using our system.
ML-Style Multi-Abstraction Calculus with Type Inference Algorithm

ML-style multi-abstraction calculus, ߣ letmx , is introduced as an extension of the Hindley-Milner type system.The calculus has a new multiabstraction, a simultaneous application and a simultaneous explicit substitution.In comparison with some other multi-abstraction formalization, the calculus has the advantage of saving the usual α equivalence between all terms.The calculus can be used to represent contexts, where contexts in lambda calculus are lambda terms with holes.The calculus has a subject reduction property, is confluent and has a sound and complete type inference algorithm.
Use of Technology, Learning Environment, and CPD in Favor of Student Support

Knowledge could not evolve without being transferred, and that is why there had been a need for continuous development of means of such transference through making use of recent development and inventions that could sustain the quality of the process, hence the expression of “Education Technology” appeared.