Reviewerly/exHarmony huggingface dataset:
An Interactive Visual Tool to Enhance Understanding of Random Forest Predictions

Random forests are known to provide accurate predictions, but the predictions are not easy to understand. In order to provide support for understanding such predictions, an interactive visual tool has been developed. The tool can be used to manipulate selected features to explore “what-if” scenarios. It exploits the internal structure of decision trees in a trained forest model and presents this information as interactive plots and charts. In addition, the tool presents a simple decision rule as an explanation for the prediction. It also presents the recommendation for reassignments of feature values of the example that leads to change in the prediction to a preferred class. An evaluation of the tool was undertaken in a large truck manufacturing company, targeting the fault prediction of a selected component in trucks. A set of domain experts were invited to use the tool and provide feedback in post-task interviews. The result of this investigation suggests that the tool indeed may aid in understanding the predictions of a random forest, and also allows for gaining new insights.
Analisis Usability Pada Website Universitas Xyz Palembang

XYZ University Palembang is an education institute that using internet during academic process has 5 faculty. In this study, there was still weaknesses from the website; the website could not measure the level of user satisfaction, user could not interact with website and the University could not know how well the use of the website. With those problems, user satisfaction measurement usability analysis in XYZ University Palembang had to do in order to know how great user satisfaction in interaction with website. AMOS, SPSS, and SEM Analysis technique was used in website measurement usability. The result of this study had not reach the 5 aspects of usability, it was proven based on the measurement that the factor of content has more than 50% contribution, while the ease of use, customization, and download delay was less than 50%. So it is worth saying that the user was notsatisfaction.
Методические подходы к развитию информационной компетенции студентов вуза

The article defines the understanding of methodological approaches to the development of information competence of university students. It describes modern scientific concepts and methodological foundations that formed the basis for the selection of methodological approaches of the process under study. The combination of the content component, methods, means and forms of organizing the process of developing the information competence of university students is highlighted.
К вопросу о реализации федерального проекта «Цифровая образовательная среда»

The article shows the impact e-learning on modern approaches to the traditional educational process. Reveals the problems and contradictions of the use of e-learning in general education institutions.
A COMPARATIVE ANALYSIS OF EMOTION PREDICTION ON A TEXT BY CNN, LSTM AND BI-LSTM

Sentiment Analysis is a field of Natural Language Processing (NLP) that develops the system that tries to automatically identify and extract the emotions depicted by the text. Nowadays people can generate their opinion, views, and attitude about a product, person or issue in social media whenever and wherever possible. This opinionative and user-generated content occupies the major source of information on the World Wide Web. Identifying the emotion depicted by this text is very useful in many applications such as marketing analysis, public relations, product reviews, net promoter scoring, product feedback, and customer service. Generally, it identifies sentiment like joy, sadness, fear, anger and the like. And also the attributes of the expression such as its Polarity, Subject and the Opinion holder who express the sentiment. Ciphering of emotion and emotion intensity portrait by a text is a very challenging task. The crucial step of emotion analysis is feature extraction from the text because it defines the accuracy of emotion prediction. In this paper, emotion prediction is computed by using Convolutional Neural Network (CNN), Long Short Term Memory (Conv - LSTM) and Bidirectional Long Short Term Memory (BI-LSTM). As a result, BI-LSTM outperforms all the models with high accuracy.
PENGARUH MOTIVASI GELAR, MOTIVASI KUALITAS, MOTIVASI KARIR, DAN MOTIVASI EKONOMI TERHADAP MINAT MAHASISWA AKUNTANSI AKAKOM STEPHEN JAMBI UNTUK MENGIKUTI PENDIDIKAN PROFESI AKUNTANSI (PPAk)

This study aims to determine the effect of the degree motivation, quality motivation, career motivation, and economic motivation of the interest in students akakom stephen Jambi in taking part in the accounting profession education. The population in this study is a students akakom stephen jambi accounting major. The sampling technique using sensus method. The data analysis technique used is by using multiple regression. Statistical hypothesis testing using the F and statistical test t. The results showed that : (1)  the degree motivation, quality motivation, career motivation, and economic motivation simultaneously on interest in students akakom stephen Jambi in taking part in the accounting profession education, (2) degree motivation effect on interest in students akakom stephen Jambi in taking part in the accounting profession education, (3) quality motivation effect on interest in students akakom stephen Jambi in taking part in the accounting profession education, (4) career motivation affect on interest in students akakom stephen Jambi in taking part in the accounting profession education, (5) economic motivation not effect on interest in students akakom stephen Jambi in taking part in the accounting profession education.
Cycle-Accurate Debugging of Embedded Designs Using Recurrent Neural Networks

This research work presents a methodology for debugging embedded designs by using recurrent neural networks. In this methodology, a cycle-accurate lossless debugging system with unlimited trace window is used for debugging. The lossless trace resembles a time data series. A recurrent neural network trained either through a golden reference or from the actual time series can be used to predict the incoming debugging data. A bug can be easily isolated based upon the discrepancy between the received and the predicted time series. This allows to draw conclusions to speed up the debugging process.
RUSSIAN EXPERIENCE OF “LONGLIFE LEARNING”: SYNERGY OF THE STATE AND EDUCATION SYSTEMS

N. Sakharchuk, R. VoskerichyanPeoples’ Friendship University of Russia (RUDN University) (RUSSIAN FEDERATION)
Connecting Intellectual Property and Human Rights in the Law School Syllabus

The relationship between human rights and intellectual property has attracted the attention of policy makers, international agencies, scholars, and activists. Courses exploring the connections between the two areas of law are also finding their way into law school curricula. Drawing on the author’s experience teaching and designing the syllabus for a very early courses in this field, this chapter explores how courses exploring the IP/human rights interface can enrich law students’ understanding of both areas.
FUNCTIONING OF INCLUSIVE EDUCATIONAL ENVIRONMENT IN PROVINCIAL RUSSIAN TOWNS

N. Kondratenko1, D. Vorontsova1, O. Kudinova2, S. Shashkova1, V. Kudinova2 1Tula State University (RUSSIAN FEDERATION) 2Tula State Lev Tolstoy Pedagogical University (RUSSIAN FEDERATION)
MULTIDIMENSIONAL RESEARCH ON THE IMPACT OF OPEN EDUCATIONAL RESOURCES

M.R. Ariza1, A. Quesada1, A.M. Abril1, P.G. Rodríguez2 1University of Jaén (SPAIN) 2University of Córdoba (SPAIN)
MANAJEMEN DAN KEPEMIMPINAN PERPUSTAKAAN

In the world of education, the library is an information place that serves as a learning resource or learning laboratory that allows educators and educators improve their quality. But the most important  thing  in  optimizing  the function  of  the  library  is  the reading interest that must be owned by someone and also the library management that can increase reading interest .
Sistem Informasi Bujang Gadis Kota Pagar Alam Berbasis Web

Each district and the cities in Indonesia have a separate icon to showcase their respective regions. Start from the culture until the potential of tourism object. One of the most well known icon until the territory was visited by many tourists is tourism object. This is shown by the number of domestic tourists and also foreign tourists who visited in each area in Indonesia one of the Pagar Alam town. Pagar Alam town rich natural tourism potential and other tourism.Bujang Gadis PagarAlam town stand since 2002. But submitting information about Bujang Gadis Pagar Alam town it was still not optimat because it still used brochures and word of mount as well as in is’s registration participant had to collect and submit documen directly to the tourism office of Pagar Alam. Of these problem, a Bujang Gadis Pagar Alam town information system is designed. This study uses software Macromedia Dreamwaver, Xampp, PHPprogramming languageandMySQL asdatabase.
A Study on Securing Non-financial Data Using Blockchain Mechanism

Blockchain is a sequence of blocks that contains information. It is originally designed intended to timestamp digitally notary documentation. It was developed by a group of researchers and later it was discovered by Nakamoto Satoshi. Block chain is a distributed public ledger which permits to approach and records the data which are difficult to eradicate. It is a technology intended for industries and companies to cooperate with faith as well as lucidity in work in a safe way. The well-known use of blockchains is a cryptographic currency like bitcoin along with some other uses. In Blockchain, each block contains data, hash of the data, and hash of the previous block. Hash is a fingerprint that identifies a block and block of data containing within it. After the block is created the hash is calculated and it is connected to the previous hash like a chain or necklace. Blockchain in a very simple language is like a garland that secures data with high cryptocracy.
New High Secure Network Steganography Method Based on Packet Length

In network steganography methods based on packet length, the length of the packets is used as a carrier for exchanging secret messages. Existing methods in this area are vulnerable against detections due to abnormal network traffic behaviors. The main goal of this paper is to propose a method which has great resistance to network traffic detections. In the first proposed method, the sender embeds a bit of data in each pair that includes two non-identical packet lengths. In the current situation, if the first packet length of the pair is larger than the second one, it shows a ‘1’ bit and otherwise, it shows a ‘0’ bit. If the intended bit of the sender is in conflict with the current status, he/she will create the desired status by swapping the packet lengths. In this method, the paired packets can be selected freely, but in the second proposed method, the packets are divided into buckets and only packets within a single bucket can be paired together. In this case, the embedding method is similar to the previous one. The results show that the second method, despite having low embedding capacity, will be more secure in real traffic compared to the other methods. Since the packet lengths of UDP protocol are more random in comparison to TCP, the proposed methods have higher embedding capacity and they are more secure for UDP-based packets. However, these methods are only applicable to the protocols in which the packet length has not a constant value.
[Exploration of new teaching mode of Science of Meridians and Acupoints based on three-dimensional practice platform].

The new teaching mode of Science of Meridians and Acupoints based on the practice platform was explored so as to promote the mutual benefits for both teaching and learning. As the basic course of acupuncture-moxibustion and tuina specialty, Science of Meridians and Acupoints is the core theoretical and practical course. Through the establishment of on-campus practice platforms, e.g. the Technique Association of Acupuncture-Moxibustion and Tuina, physical therapy room of acupuncture-moxibustion and tuina and the practical platform for promoting outside-campus medical service, in accordance with the teaching mode of "theory → practice → re-theory → re-practice", the class teaching of theory and the skill training were optimized, the three-dimensional practice platforms for teaching Science of Meridians and Acupoints was constructed, meaning "class teaching → on-campus practice → social service". This teaching mode motivates the enthusiasm of teaching and learning, improves the teaching quality of Science of Meridians and Acupoints, enhances the professional theoretical level as well as the clinical practice ability. Such teaching mode plays a positive role in the cultivation of talents of acupuncture-moxibustion and tuina.
Power Demand Forcasting System with Reconfigurable User Interface Using Redundant Operation Data

We propose a screen design personalization method for information systems. This method inputs the screen transition diagram of the information system and the user’s screen operation history, finds a redundant part (called redundant operation) from the screen operation history, improves the screen transition diagram so that the operation does not occur, Output. The redundant operation is a series of redundant screen transitions that occur because the data items necessary for data entry must be referred to on the system screen of the information system. Since the redundant operation varies depending on the usage and environment of the user, the screen transition diagram of the output varies depending on the user, and as a result, personalization of the information system is achieved. In this research, we take up the power demand forecasting system. Since regression analysis is used for power demand prediction, it is necessary to adjust many parameters in order to perform appropriate demand prediction. This has led to complex screen transitions in the power demand prediction system. In this study, we personalized the screen design for the power demand forecasting system. The personalized power demand forecasting system can provide screen transitions suitable for the usage environment of the system.
HOMO INNOVATIVE AS AN EDUCATIONAL IDEAL IN THE CONTEXT OF TRAINING TEACHERS AT NON-LINGUISTIC UNIVERSITIES

The author strives to reveal axiological foundations of training foreign language teachers for non-linguistic universities through the lens of cultural pluralism, heterogeneous national culture, evolution of information civilization and innovative economy. The fomation and development of a person’s innovative capacity has proved to be a major educational vector of the general education progress as well as foreign language teacher training. In this paper the concept of a homo innovative is put forward as an educational ideal of the modern world. The author demonstrates that the process of a homo innovative development is bifocal: the professional (practical) aspect related to the ability to create professional innovations has to be coupled with the culturological aspect related to the ability of a person to preserve and enrich moral values of the native and global culture. It is proved that the axiological focus of modern language teacher training could be strengthened by employing the mechanisms of meaning and value formation which can affect transformation of educational information into personal meanings and values. These mechanisms actualize the idea of integrating the cognitive ways of understanding information with the interpretative methods based on personal semantic attitude to the subject of understanding rooted in the individual values of a person. This approach is related to the methods of text interpretation as a means of developing personal meanings that were elaborated within pedagogical hermeneutics.
The Main Characteristics of Intercultural Communication in Higher Education

Basing on the experience of researchers from different countries in the field of studying intercultural communication and the mechanisms of interaction between culture, education and communication, the author tries to give an interpretation of intercultural communication in the higher education system. The paper indicates that intercultural communication in the higher education system is elitist, because its subject is representatives of intelligentsia of different cultures; denotes the strategic importance of this communication, as it provides the environment and conditions for achieving a competent education, dictated by the modern world market. The prospect of the communication lies in the fact that it serves as mental and humanitarian support for the development of the world economy and universal solidarity; its heuristic is that it contributes to the formation of conditions for acquiring new knowledge, discovering any previously unknown properties, patterns, etc.
Объекты информационных правоотношений в сфере библиотечного дела

An attempt is made to consider the specifics of special objects of information legal relations in the field of librarianship. It is suggested that the main object of information legal relations in this area is library information. It is stated that another object of information legal relations in the field of librarianship is a library information resource, which is a material form of library information. It is argued that the next object of information relations in the field of librarianship is the library Fund, which is a form of storage of library information and library information resources. The features of such a special object of legal relations in the library sphere as an electronic library, which is a key element of the electronic library environment, are considered. It is concluded that knowledge of the specifics of special objects of the library sphere is necessary to improve its legal regulation in the conditions of digital transformation and building a knowledge society in Russia.
USING THINK-TALK-WRITE STRATEGY IN TEACHING WRITING AN ANALYTICAL EXPOSITION TEXT

This research was conducted to know the effect of Think-Talk-Write strategy on the students’ writing analytical exposition improvement and to know the students’ responses toward the use of this strategy in teaching writing an analytical exposition text. This is a quasi-experimental research in which the samples were taken from two classes, experimental class (XI-IPA F) which consisted of 34 students and control class (XI-IPA G) which consisted of 36 students. The instruments of this research were pre-test and post-test. The result showed that the mean scores of pre-test in the experimental class was 61.47, while the mean score of post-test in the experimental class was 76.67. Moreover, both scores were analyzed by comparing the z-z-score of pre-test and post-test in the experimental class. The result of the z-test was -11.09 at the level significance 5% with assumption if the z-score is beyond -1.96 and 1.96, the null hypothesis (Ho) was rejected and the alternative hypothesis (Ha) was accepted. Furthermore, the result of the questionnaire showed that the students gave positive responses toward the implementation of Think-Talk-Write strategy on teaching writing analytical exposition text where 57% of students strongly agreed and 40% of students agreed with the implementation of Think-Talk-Write strategy. In conclusion, the implementation of Think-Talk-Write strategy could improve the students’ ability to write an analytical exposition text.
A Platform Development for Multilingual Law Collection and Comparative-Law Support Services: ASEAN Laws as a Case Study

Lawmakers in the ASEAN countries need to investigate statutes of neighbor countries to draft consistent, uniform, and reasonable statutes. Moreover, the non-lawyers, who would like to invest or work oversea, should understand the statutes of the countries under consideration and compare the regulation requirements before making decision which country is good for investment or for working. This work proposes a platform for collecting and comparing laws. It consists of three modules: the first one is a Web crawling for gathering the statutes from ASEAN countries’ law archives, the second module is Document preprocessing for extracting the regulations from each statute of each country and aligning them across the text, and the last module is a service with a tool for highlighting the relevant parts of text. This paper proposes to use existing text processing tools, such as, word/word-group segmentation and document section parsing, to use Wikidata’s ontological concept for annotating those entities, and then align them across the text. However, there are two problems of concept selection, i.e. concept ambiguity and concept granularity. A near-threshold of maximum distance to the least common ancestor is computed for selecting a proper concept for entity alignment. This work did an experiment on Malaysia and Thailand’s labor law to compare the minimum wages. By testing with a several of thresholds, the threshold value two gives the most proper concept where the precision and recall of related entities alignment are 48% and 67%, respectively.
Output Power Forecasting for 6kW Thin-Film PV System using Response Surface Methodology

Photovoltaic (PV) system is an attractive option for the energy sector nowadays due to its renewable nature.However, because of the unpredictable nature of weather, it is difficult to determine the generation of the PV system beforehand.Thus, forecasting is essential for the determination of Return of Investment (ROI) of a newly installed PV system.This paper proposes the application of Response Surface Methodology (RSM) to forecast the output power of the 6kW thin-film PV System.Three environmental elements are used; irradiance, module temperature, and ambient temperature.For that, MATLAB RStool which is consisting of four models; multiple linear regression (MLR), interactions, pure quadratic, and full quadratic was used.The 5 minutes sampling size data weather station from the year 2014 of the 3-phase three environmental elements and output power of 6kW thin-film was recorded and used.Whereas, yearly 2015 data of the aforementioned elements were used for validation.Forecasting performance measures such as the determination of coefficient (R 2 ) method and root mean square error (RMSE) approach are presented.The results indicated that a full quadratic model provides the best forecasting model with a resulting R 2 value of 0.9981 and gives the least amount of RMSE which is 18.74.
LEARNING (GOOD HANDWRITING IN GREEK) BY TEACHING (A HUMANOID ROBOT)

C. Ioannou1, C. Neophytou1, T. Asselborn2, W. Johal3, T. Hadzilacos1 1Open University of Cyprus (CYPRUS) 2EPFL (SWITZERLAND) 3EPFL (SWITZERLAND) / University of New South Wales (AUSTRALIA)
TEACHING ENGINEERING STUDENTS TO READ RESEARCH LITERATURE IN ENGLISH: ALGORITHM FOR POLYNOMIAL ATTRIBUTIVE WORD COMBINATIONS (PAWC)

M. Krasilshchikova, L. Kharabadze, E. DavidenkoNational Research University of Electronic Technology MIET (RUSSIAN FEDERATION)
Reform and Practice of Forestry Engineering Robot Course Based on Online and Offline Hybrid Teaching

At present, "Forestry Engineering Robot" course is a key curriculum that has gradually formed with the development of science and technology of forest colleges and universities, and has received the attention of relevant educators and students.To form on the online and offline synchronous teaching mode by taking the information technology as the carrier, students as the main body, problems as the center and teachers as the instructor.In fact, offline classroom teaching is the main body while online teaching is as a supplement, Forestry Engineering Robot teaching reform is carried out as useful exploration.
Review of Go-To Iron Analysis Method Reveals Its Pros and Cons

Researchers validated some steps in the standard sequential chemical technique used to extract different forms of iron from rock samples but found inconsistencies in other steps.