Reviewerly/exHarmony huggingface dataset:
A grammar-based approach for XML schema extraction and heterogeneous document integration

The availability of vast amounts of heterogeneous XML web data motivates finding efficient methods to search, integrate, query, and present this data. The structure of XML documents is useful for achieving these tasks; however, not every XML document on the web includes a schema. We discuss challenges and solutions in the area of generation and integration of XML schemas. We propose and implement a framework for efficient schema extraction and integration from heterogeneous XML document collections collected from the web. Our approach introduces the schema extended context-free grammar (SECFG) to model XML schemas, including detection of attributes, data types, and element occurrences. Unlike other implementations, our approach supports the generation of XML schemas in any XML schema language, e.g., DTD or XSD. We compare our approach with other proposed approaches and conclude that we offer the same or better functionality more efficiently and with greater flexibility. The approach we propose is flexible enough to facilitate integration of and translation to tabular (relational) data.
CONTENT OF SEQUENTIAL FORMATION OF HUMANITIES TEACHERS’ PEDAGOGICAL REFLECTION IN POSTGRADUATE EDUCATION

The article is dedicated to the problem of formation of humanities teachers’ pedagogical reflection in postgraduate education. Pedagogical reflection of humanities teachers is defined as an integral characteristic of the personality, as a mechanism of professional self-improvement and self-actualization, which manifests itself in the ability of the teacher to take analytical position toward his/her professional activity and him/herself as its subject, considering the developing potential of the humanities. Reflection is an ability that can be shaped and developed, and the most effectively this is achieved in conditions of specially organized activity, in particular in postgraduate education. Experimental methods of humanities teachers’ pedagogical reflection in postgraduate education (cognitive-motivational, integrative-practical, creative-professional stages) were developed and tested. The experimental educational process was preceded by a propaedeutic stage aimed at updating content of postgraduate pedagogical education from the standpoint of a reflexive paradigm, providing an integrative approach to the educational process, developing educational and methodological support for the educational process to ensure the formation of pedagogical reflection, conducting a methodological seminar with teachers who were involved in the experiment. The first – cognitive-motivational – stage was aimed at providing positive motivation of humanities teachers for the formation of pedagogical reflection in postgraduate education; providing teachers with knowledge about the concept "pedagogical reflection", familiarizing them with methods of diagnosis and development of pedagogical reflection. The second – integrative and practical – stage was aimed at attracting teachers to active professionally-oriented reflexive activity, carried out on the basis of the integrative course "Reflective Practice for Teachers of the Humanities", aimed at the formation of reflexive skills. The aim of the third – creative-professional – stage was to immerse teachers into active reflexive professional activity during the period of pedagogical practice and in the intercourse period in postgraduate education; stimulate creative application of the formed reflexive skills. Methods and means of training: reflexive-oriented problem lectures, reflexive disputes, reflexive exercises and games, individual and group reflection, reflexive analysis of pedagogical situations, pedagogical practice, reflexive analysis of teacher’s activity at the lesson, self-analysis, self-assessment and mutual evaluation; setting at self-development and self-realization
Politeness Strategies: Negotiation in Procurement Services of Traditional Entertainments

This paper aims to describe kinds of politeness strategies and features of the politeness in Javanese cultural context where Javanese people incur activities in the procurement of Javanese traditonal entertainments. The study used qualitative approach assigning 20 research subjects and analyzed 42 corpuses as the cources of data. Data of this study were divided into politeness techniques, politeness strategies, and impoliteness strategies. Results show that of five politeness strategies, one does not appear in the negotiation that is using affective tag to show a certain concern.  Four techniques that appear are: to speak indirectly, to lie politely, to use euphimism, and to use modal tags to show uncertainty. Four politeness strategies, including bald on-record, positive politeness, negative politeness, and off-record politeness all exist as the medium of interactions. Finally, impoliteness strategies exist in the form of bald on-record impoliteness, negative impoliteness, positive impoliteness, and enternaining impoliteness.  In context of Javanese culture, this study shows its novelty that Javanese culture has its own universal cultural values in politeness.
Integrasi Sistem Informasi Kepuasan Belajar Mengajar Program Studi Teknik Informatika Dengan Sistem Informasi Akademik Unram Menggunakan Web Service

One of the tasks of a university is teaching. To keep the quality by improving the teaching qualifications, materials, teaching facilities, and infrastructure. but, one of the important things is to keep the quality of teaching. The quality of teaching can be measured from the feedback of the students. Informatics Department of Mataram University has a system to get feedback from its students called SIKBM (a questioner system for teaching). Unfortunately, not of all the students will fill this questioner because there is no interest for the students. So, we apply a web service system that connects SIKBM and SIA (academic information system). It will force the students to access SIKBM as a requirement to fill KRS (Course selection sheet) on SIA. The result shows that on even semester of 2017, we gain feedback for all of the courses we did not get in the previous years.
Las TIC una Ventana que Facilita la Enseñanza en el Aula.

Information and Communications Technology – ICT have been having an influence in several human’s life aspects. ICT work as agents of social change. In this article, there will be outstanded the importance of ICT as essential tools for the class methodological development in which the student has a clear, creative and meaningful approach to the new age components surrounding us. It is important to recognize the important role of technology for carrying out activities and acquiring knowledge. Technology can offer different sources like multimedia materials that allow students facing different experiences developing cognitive, ethic, social and attitude skills making easier constructive learning. The teacher becomes the guide and the knowledge referent.
Leveraging Education Sector Using Cognitive Big Data for the Recruitment Process and Sustainable Development

Nowadays, we are not confined to traditional education. We are on the verge to make our education system more job oriented by providing various vocational trainings to our students. The various universities and higher education are facing the problem of inadequate placement. Even the job providers have to quell ample amount of time to judge the potential candidates. The right placement is a challenge for both the recruiters and the candidates. The cognitive science and big data can untangle the conundrum. The main goal of this paper proposal can be stated as: To display the appropriate job offer from the job provider, select the perfect profile for the job at the right place at the right time, and connect the perfect profile to the job provider. The outliers must also be suggested with right start-ups.
PENERAPAN METODE ROLE PLAYING UNTUK MENINGKATKAN HASIL BELAJAR PKN SISWA KELAS V SDN 004 TERATAK BULUH KECAMATAN SIAK HULU KABUPATEN KAMPAR

The role-playing method is a method of role-playing by providing real experience in learning. The research method used was classroom action research, this study was conducted in two cycles and each cycle was conducted three times. Data collection techniques in this study used teacher observation sheets, student activity sheets, and student learning outcomes. Learning tools consist of the syllabus, and plan for implementing learning. Learning outcomes in the first cycle, the number of students who get a high classification score amounted to 9 people with a percentage of 36%, and a moderate classification of 16 people with a percentage of 64%. In the second cycle, the results of high classification learning were 20 people with a percentage of 80%, and in the middle classification, there were 5 people with a percentage of 20%. So it was concluded that using the role-playing method can improve learning outcomes of PKn.
Development of Hadoop Massive Data Migration System

At present, the amount of data generated by high-energy physics experiments is increasing. When Hadoop, a large data processing platform, is used to process high-energy physics data, it is faced with the actual needs of data migration. However, the existing migration tools do not support data transmission between HDFS and other file systems, and their performance has obvious defects. Starting from the requirements of synchronization and archiving of high energy physical data, this paper designs and implements a universal mass data migration system. By extending the access mode of HDFS data, MapReduce is used to migrate data directly between HDFS data nodes and other storage systems/media. In addition, the system designs and implements the dynamic priority scheduling model, and evaluates and chooses the dynamic priority of multi-task. The system has been applied to data migration in large high altitude air shower Observatory (LHAASO) cosmic ray and other physical experiments. The actual operation results show that the system has good performance and can meet the data migration requirements of various experiments.
The Incidence of Malaria in Human Population of Shergarh District Mardan Pakistan

Inayat Ullah, Sulaiman Shams, Ibrar Ullah, Hazrat Wali, Rishma, Mehwish Nawaz and Sahib Gul Afridi* Author Affiliations Department of Biochemistry, Mardan KPK, Pakistan Received: June 06, 2019 | Published: June 13, 2019 Corresponding author: Sahib Gul Afridi, Department of Biochemistry, Mardan KPK, Pakistan DOI: 10.26717/BJSTR.2019.18.003210 Also View In:
PEMANFAATAN CERITA ANAK SEBAGAI ALTERNATIF BAHAN PEMBELAJARAN APRESIASI SASTRA DI KELAS III SEKOLAH DASAR

Learning appreciation of literature in elementary schools (SD) requires learning materials that are in accordance with the characteristics of elementary school students. Literary appreciation learning materials in addition to having to pay attention to children's development must also consider the elements in the literary work itself, which includes aspects of the form and aspects of content. The selection of materials for learning literary appreciation in elementary schools can be done by utilizing children's stories in children's mass media and children's story books. The use of children's stories as material for learning literature appreciation in elementary schools is reflected in the learning strategies designed by the teacher, namely in the selection of the types of learning activities and the preparation of steps for teaching and learning activities.
COMMUNICATIVE TRANSLATION METHOD OF ENGLISH INDONESIAN TRANSLATION IN BOOK “THE ONE MINUTE MANAGER” BY KENNETH BLANCHARD, PH.D AND SPENCER JOHNSON, M.D

The objective of this research mainly aims to find out the proofs that the translator used communicative translation in Indonesian book version. This paper was directed to answer two basic questions about the strategies that used by the translator to translate in target language and the proofs which shows that in target language the translator used communicative translation method. The writer used the theory of Newmark about communicative translation method that is used to analyze the data. It amplifies that analysis based on the theory by expert will make easier to analysis. This research used qualitative method in which the writer undertakes research through describing the data. The writer found that the translation method that used by the translator is communicative translation method. In translation by the translator pay attention the meaning of source language so that the message in target language can be received by the readers.
SoCRATES: Scala radar for test smells.

Test smells are indications of poorly designed unit tests. Previous studies have demonstrated their negative impact on test understanding and maintenance. Moreover, surveys show that developers are not able to identify test smells, hindering optimal software quality. Automated tools can aid developers to handle these issues and detect test smells in the early stage of software development. However, few tools are publicly available and all of them target JUnit -- the most popular testing framework in Java. To overcome these limitations, we propose SoCRATES. This fully automated tool is able to identify six test smells in Scala Test which is the most prevalent testing framework in Scala. An empirical investigation on 164 Scala projects shows that our tool is able to reach a high precision without sacrificing recall. Moreover, the results show that Scala projects have a lower diffusion than Java projects. We make SoCRATES publicly available as an IntelliJ IDEA plugin, as well as an open-source project in order to facilitate the detection of test smells.
A Modified Grey Wolf Optimizer by Individual Best Memory and Penalty Factor for Sonar and Radar Dataset Classification

Meta-heuristic Algorithms (MA) are widely accepted as excellent ways to solve a variety of optimization problems in recent decades. Grey Wolf Optimization (GWO) is a novel Meta-heuristic Algorithm (MA) that has been generated a great deal of research interest due to its advantages such as simple implementation and powerful exploitation. This study proposes a novel GWO-based MA and two extra features called Individual Best Memory (IBM) and Penalty Factor (PF) to train Feed-forward Neural Network (FNN) for the classification of Sonar and Radar datasets. Besides, FNN is accompanied by Feature Selection (FS) using GWO. Experiments were done on Sonar and Radar datasets obtained from the University of California, Irvin (UCI) to evaluate the performance of the proposed MA; the results demonstrated the proposed MA is markedly better than GWO in terms of classification accuracy, avoiding local optima stagnation, and convergence speed. This framework can be applied to naval navigation systems or atmospheric research.
A pilot test on the application of an e-book with videos in the teaching and learning of compounding for pharmacy students

The e-book phenomenon has taken us to a whole new era in knowledge dissemination. Although printed books still have their place in the heart of many, the application of e-books may compliment the current role of printed books, besides serving as a low-cost option with less physical storage space needed. Printed books have always been a source of reference for students. However, this is not always practical especially in the laboratory settings where students’ rapid movements may cause liquid spillage and unwanted accidents on the printed books. Hence, e-books may become a handy option with more easily updated information. Pharmacy, as with other professional courses, requires graduates to develop specific knowledge and skills such as the skill of medication compounding. This reported pilot study was conducted on the application of a practical guide e-book for compounding in pharmacy, which provided guidance to students on laboratory ethics, product documentation, prescription interpretation and pre-formulation calculation, with incorporated product preparation videos for easy and fast referencing. Students were able to refer to the videos in the e- book during practical classes to learn and avoid any mistakes during product preparations. The results showed that 39% of students agreed on the application of the e-book in practical classes, but 59% of them preferred the e-book for revision purposes. The e-book should complement and not totally replace the printed laboratory books, and would be useful to enhance students’ experience in laboratory teaching and practical classes. The presentation and the content of the e-book needs further refinement to ease its use and application
A Machine Learning Algorithm in Automated Text Categorization of Legacy Archives

The goal of this research is to develop an algorithm to automatically retrieve critical information from raw data files in NASA's airborne measurement data archive.The product has to meet specific metrics in term of accuracy, robustness and usability, as the initial decision-tree based development has shown limited applicability due to its resource intensive characteristics.We have developed an innovative solution that is much less resource intensive while offering comparable performance.As with many practical applications, the data available are noisy and correlated; and there is a wide range of features that are associated with the information to be retrieved.The proposed algorithm uses a decision tree to select features and determine their weights.A weighted Naive Bayes is used due to the presence of highly correlated inputs.The development has been successfully deployed in an industrial scale, and the results show that the development is well-balanced in term of performance and resource requirements
Inpainting an Image based on Enhanced Resolution

Abstract Inpainting is the measure of reconstructing damaged parts of images. The main goal of inpainting is to remove unwanted objects from images and fill this region with the background. At first a part of the input image is inpainted by a non-parametric patch sampling. The inpainted part of the input image allows reducing the computational complexity and less sensitive to noise. The advantage is it is easier to inpaint low resolution images than high-resolution images. In this paper a review of various techniques used for image inpainting is provided. Using this, one can recover small regions and remove noise. To the low-resolution image inpainted, a single-image super-resolution is used to resume lost areas. Keywords: Image inpainting, texture synthesis, image processing, examplar based, object removal Cite this Article: Imtiyaz Md., Kumar Abhay, Sreenivasulu G. A survey image inpainting based on enhanced resolution. Journal of Computer Technology and Applications. 2015; 6(1): 23–26p.
Kalman Filter aided by Online Estimation on Q and its Application on Target Tracking

The Kalman filter is widely used in various fields, however the unknown process noises covariance will decrease the performance of Kalman filter, even lead to filter divergence. To avoid this, an innovative Kalman filter aided by online estimation on unknown process noise covariance is proposed in this paper. It estimates the unknown covariance from the observation sequence by recursive computation. Finally a simulation on target tracking system is given to verify the efficiency and reliability of proposed algorithm.
Chapter 9. Interfaces for Capturing the Experiment Record

Electronic Laboratory Notebooks (ELNs) have many features that can support the work of scientists, but their main purpose is to replace the paper notebook in the laboratory. When we capture notes in a paper notebook, we have the flexibility to record our research in any format we choose. When we capture notes using an electronic notebook, and particularly using ELNs, the way that we capture information changes. Many ELNs make use of templates to encourage the capture of standard information and provide the opportunity to prompt users to capture items of interest that they might otherwise omit or forget to record. Using the cues provided by the formal structure, templates should improve the consistency and quality of records. There is, however, the possibility that templates may have negative as well as positive impacts because they may restrict the content that is recorded, and information that is not specifically prompted for in the template may be omitted, even if it is significant to the record. In this chapter, we will examine research into the impacts of different kinds of interfaces on the information that is captured in the laboratory. We also take a look at the role of mobile applications in bridging the gap between paper notebooks and ELNs, and how other kinds of interfaces may better support users in capturing their research in electronic form.
Application Practice of Interactive Teaching Method in College Vocal Music Teaching

Vocal music teaching is an important teaching category in China's higher education system.It plays an important role in cultivating the music quality of college students and promoting the development of education quality in China.However, as far as the present situation is concerned, the teaching effect of college vocal music teaching is not ideal, and the old teaching methods can't adapt to the changing teaching practice.In this context, interactive teaching is highly valued.In college vocal music teaching, the use of interactive teaching method is not only conducive to improving students' subjective consciousness, but also conducive to effective communication between teachers and students.This paper analyzes the present situation of college vocal music teaching in China, and discusses the significance of the application of interactive teaching in college vocal music teaching, as well as the application way of interactive teaching in college vocal music teaching.
Defect Prediction by Analysing Software Project Reports Using Logistic Regression

The large and complex software in today’s scenario has led to unavoidable circumstances wherein defects are entering the system at an enormous rate. This has caused an emerging need to assess the severity of these defects considering the shortage of resources due to which equal amount of resources cannot be allocated to all the defects. Thus, in this paper, we intend to propose a model that will be used to assess the severity level of the defect introduced in the system so that defects having higher priority can be dealt with utmost attention. The model is validated against an open source NASA dataset of PITS database using a learning based technique namely Multinominal Multivariate Logistic Regression (MMLR). A series of text mining techniques were applied for pre-processing the data. Finally, validation of the data was conducted using Receiver Operating Characteristics (ROC) characterstics.