Reviewerly/exHarmony huggingface dataset:
SelfieHelper : Improving Selfie Experiences for People with Visual Impairments

Selfies have been a major social trend for several years, recently. However, a number of people with visual impairments are excluded due to accessibility problems although their use of social media is as high as sighted people. To improve their selfie experiences, we propose SelfieHelper, a mobile application for taking and managing selfies for people with visual impairments, and conducted a design probe study with 8 participants with visual impairments. Based on the collected subjective opinions and the potential and limitations we have discovered in this study, we discuss how a future selfie assistance application for people with visual impairments can promote independent selfie-related activities such as taking and organizing selfies with the ultimate goal of lowering the potential barriers for them to participate in online social activities.
Special aspects of the ontological approach application in intelligent system development for certain types of problems in chemistry

The article describes several aspects of the ontological approach application to the intelligent system development. This approach is grounded on the application domain modeling by means of applied logic theories. The basic thesaurus for the development of professional activity models is created (based on the ontological approach). All the definitions from this dictionary are presented. The examination of the “Atomic weight” term and other chemistry term evolution brings to the sharp focus the fact that in the knowledge-intensive application domains not only the knowledge but also the ontology changes over time. Consequently, intelligent system developer should consider the opportunity of knowledge and metaknowledge alteration to prolong the intelligent system lifecycle and intelligent system update. For this purpose, intelligent system development should start after the application domain specification modelling. The created algorithm for the development of the application domain specification, which includes three steps: ontological analysis of the application domain, the major purpose of which consists in the search of the adequate conceptualization, includes the following subtasks: informal problem statement, concept analysis, scope analysis, situation analysis – synthesis of the application domain model and proving the hypothesis of the model adequacy. The steps of the algorithm are supported by the description of the intellectual activity task solution. This problem is the classification problem. The novelty of the article is the solution developed for the classification of the chemical elements in Mendeleev’s Periodic table based on the values of the isotope abundance and atomic weight. Major steps of application domain ontology model development are illustrated with the help of the solution to the stated problem. The model that this article provides includes the knowledge ontology and the situation ontology. The key steps of the application domain specification development: ontological analysis, ontology model synthesis, and adequacy criteria – are discussed the most thoroughly.
Pengaruh Promosi Pendidikan Terhadap Minat Peserta Didik Baru MAN 3 Banyuwangi

This research is directed to 4 points, such as (1) how is education marketing pass promotion strategy in MAN 3 Banyuwangi 2018/2019 academic year? (2) how is Man 3 Banyuwnagi new student’s interes 2018/2019 academic year (3) is there some afefect an education marketing pass promotion strategy towards MAN 3 Banyuwangi new student’s interest 2018/2019 academic year? (40 How big of an effecting education marketing pass promotion staretgy towards new student’s 2018/2019 academic year?.The type of this research was descriptif quantitative with the method product moment on the data validity test and for searching data reliability using alpha formula. Arter analyzing the data wich is collected, found that (10 education marketing pass promotion strategy in Man 3 Banyuwangi 2018/2019 academic year was good (2) Man 3 Banyuwangi new student’s interest 2018/2019 academic year was strong (3) there is an affect of education marketing pass prmotion strategy towards MAN 3 Banyuwangi new student’s interest 2018/2019 academic year (40 the affect of education marketing pass promotion strategy towards new students’ interest 2018/2019 academic year of Man 3 Banyuwangi is 53,5%.
SENTIMENT ANALYSIS OF DIGITAL WALLET SERVICE USERS USING NAÏVE BAYES CLASSIFIER AND PARTICLE SWARM OPTIMIZATION

Digital wallet services provide many conveniences and benefits to its users. However, not all digital wallet service users have a positive opinion of the service. Sentiment analysis in this study aims to determine the opinions given by Dana and Isaku digital wallet service users whether they contain positive or negative opinions and apply the Naïve Bayes Classifier and Particle Swarm Optimization (PSO) method to the sentiment analysis of digital wallet service users. The Naïve Bayes Classifier method is used because it is simple, fast, high accuracy, and has good enough performance to classify data, but the Naïve Bayes Classifier has the disadvantage that each independent variable is assumed to cause a decrease in the accuracy value. Therefore, this research added an attribute weighting method, namely Particle Swarm Optimization (PSO) to increase the accuracy of the classification of the Naïve Bayes Classifier. This study uses data taken from Twitter as many as 490 tweet data. The test results using the confusion matrix and ROC curve show an increase in accuracy of the Naïve Bayes Classifier Dana digital wallet from 60.00% to 91.67% and I.Saku digital wallet from 53.23% to 85.00%. T-Test and Anova test results show that the two classification methods tested have significant (significant) differences in Accuracy values.
I prefissi verbali dal latino classico all'italiano: problemi di classificazione su base etimologica Il prefisso ad-

Summary: I examine verbal prefixation analyzing the functional changes of the Latin ad- prefix from Classical Latin to Italian. In order to conduct the research properly I needed to separate the verbs in ety- mological groups directly derived from Latin (Classical, Vulgar or Late Latin) from the verbs created in the Romance period and the Latin loan verbs. The different origin of the verbs influences our expectation regarding the analyzability of a given verb (the recognisability of the prefix as an independent element and its semantic value - which can be different from that of its Latin origin). This division is not as clear cut as it seems to be, because, in the case of the Italian, phonetic evidence in favour of one group or another is often missing. I present the possible solutions I found for the grouping problems using semantic evidence, comparison with the other Romance languages, dating of the given verb, etc. Furthermore, I highlight the general and specific factors which determine the assignment of a certain verb to a certain group in order to obtain a precise but still flexible set of verbal categories.
Model Identifikasi Pemalsuan Ijazah menggunakan Gabor Wavelet dan Gaussian Mixture Models Super Vektor (GMM-SV)

Various cases occur related to certificate falsification and some people and educational institutions have to deal with the law, this problem is not impossible to abuse along with advances and technological innovation with various tools that can be used by anyone. Identifying the diploma document must be of particular concern to tertiary institutions to minimize the associated fake diplomas and the diploma legalization process. In legalizing the diploma for STMIK Indonesia Banda Aceh students, checking the authenticity of the certificate is only by bringing the original certificate and photocopy of the certificate or by contacting the academic party who issued the certificate, this process is sometimes missed by officers when the queue is crowded. The specific objectives of the research include implementing a model and feature method of Gabor Wavelet and Gaussian Mixture Models Super Vector (GMM-SV) for document identification to speed up diploma identification. The flow of this research starts from the input in the form of a basic image as an image that a reference for the authenticity of the diploma. Then the test image input is an image that will be tested for authenticity. The results showed that using the Gabor Wavelet feature and the Gaussian Mixture Models Super Vector (GMM-SV) could identify fake diplomas with an accuracy rate of 92.8%.Keywords:Model, Identification, Certificate Falsification, Gabor Wavelet, Gaussian Mixture Models Super Vector (GMM-SV).
BAHASA GURU DALAM PEMBELAJARAN BAHASA JERMAN DI SMA

This article is a result of literature review that aims to explain teacher talk in context of teaching and learning German as a foreign language at senior high schools. Therefore, some relevant theories are studied, reviewed, compared and presented by the author in order to obtain the aims of this research. The result showed that teaching and learning German as a foreign language, German language should be applied by the students not only as a learning object but also as their daily practice. German language as the teacher talk has a broad influence towards students’ German learning outcomes. Based on the general purpose of teacher talk, which is to make the delivered message easily understood by the students, teachers use modified German language in teaching and learning process. In this case, teachers modify their language to fit the students’ German skill by considering the linguistic order such as simplifying sentences, talking slowly, making the clearer articulation, and using vocabulary that has been known by the students. To discover the tendency of German language used by teachers in class, it is necessary to analyze teacher talk. To analyze teacher talk we can use Flanders Interaction Analysis Categories (FIAC). It is one of the instruments of social interaction analysis.
Introduction to the special issue: Unification

In the days of its foundation, the field of science covered by UNIF – a series of annual international workshops on unification – was still in its infancy. With the advent of automated reasoning, term rewriting, logic programming, natural language processing, and program analysis, the areas of computer science concerned by unification were seething with excitement. With the coming out of researches in constraint solving and admissibility of inference rules and with the breaking out of applications, such as type checking, query answering, and cryptographic protocol analysis, the development of unification was not long in going at full speed.
Model Pembelajaran STAD Berbantuan Media Scrapbook Untuk Meningkatkan Hasil Belajar Siswa Sekolah Dasar

This study aimed to improve students’ learning outcomes through the STAD model aided by Scrapbook media in theme 7 "The Beauty of Diversity in My Country" in the content of Indonesian Language and Social Sciences subject of fourth grade of elementary school. The method used in this study was classroom action research conducted in fourth grade of elementary school, which numbered 19 students. This research was conducted in two cycles, each cycle consisting of four stages, namely planning, implementation, observation and reflection. Data collection was obtained through tests, observations, interviews and documentation. The results showed that an increase in students’ learning outcomes in the cognitive aspect of cycle I gained a classical completeness of 63.16%, then an increase in cycle II gained a classical completeness of 78.95% in Indonesian Languange Subject. In the Social Science subject, cycle I received a classical completeness of 52.63% and increased in cycle II gained 73.69% classical completeness. Psychomotor domain of students’ learning outcomes also experienced an increase when Indonesian Language cycle I gained an average of 72.28% and increased in cycle II by 77.31% with good criteria. In the Social Science, cycle I obtained an average of 72.63% and increased in the cycle II by an average of 80.94% with good criteria. It can be concluded that the application of the STAD learning model assisted by Scrapbook media can improve student learning outcomes in the cognitive and psychomotor domains.
Video Classification Method of Multi-Way Convolutional Network Based on Deep Metric Learning

Aiming at the significant impact of video semantic changes on video classification results, in the video classification process, witch in includes the large intra-class dispersion and inter-class similarity during video, this paper proposes a multi-way convolutional network video classification method based on deep metric learning. The method includes a 3D network-based multi-way convolutional network and a metric learning method based on the allocation of negative sample intervals. The network is mainly divided into three parts: segmented video feature extraction, similarity measurement based on deep metric learning, and classification. Firstly, the multi-channel convolutional network can extract the features of different periods of the video, and obtain the depth features of the video through feature fusion. Secondly, by calculating the error based on the interval function of the average semantic distance of negative samples and backpropagating, the network can learn the difference in semantic distance between samples. Finally, the network combines classification tasks with metric learning during the training process to make the network classification results better. Experiments on the data set UCF101, compared with existing methods, the multi-way convolutional network video classification method based on deep metric learning can effectively improve the accuracy of video classification.
Hubungan Kemandirian Belajar dan Hasil Belajar Matematika Siswa Sekolah Dasar di Kecamatan Buluspesantren

This study aimed to prove the existence of a positive correlation between students’ self-regulated learning and mathematics learning outcomes of fourth grade students and to know the magnitude of the contribution of self-regulated learning to the mathematics learning outcomes of fourth grade students in Buluspesantren. This research was a quantitative research by correlational method. Sampling was done by cluster random sampling technique with the help of SPSS application version 18. The number of samples in this study was 266 students in eleven State Elementary Schools throughout the Buluspesantren district. The data retrieval used questionnaires and tests. Data analysis used Pearson product moment correlation test with a significance level of 0.05 and used effective contributions. In testing the correlation, it was obtained sig = 0.000 (sig 0.05), meaning that there was a positive and significant relationship between self-regulated learning and mathematics learning outcomes which showed the higher the self-regulated learning skill of students, the higher the mathematics learning outcomes of students. On the other hand, the lower the self-regulated learning skill of students, the lower the mathematics learning outcomes of students. Self-regulated learning skill contributed to mathematics learning outcomes by 20.35%. The results of this study were in accordance with existing theories and are also supported by relevant research
Types of Violence, its Causes and Consequences

the changes taking place in Kazakhstan in recent years have exacerbated many problems, including social ones. These, of course, include the problem of increasing violence in various forms of violence, including in the family. According to sociological, health, criminology, law, press organizations, in a significant part of families in Kazakhstan, violence becomes a daily, habitual, transmitted from generation to generation way of life. The article discusses the forms of violence associated with its causes, works and articles, concepts, views and opinions of many foreign and domestic scientists. During the writing of the article, the works of foreign and domestic scientists, statistical materials of the Republic of Kazakhstan were considered, including the opinions of some scientists on the study of forms and causes of violence. K. Lorenz, L. Berkowitz, A. bass, V. According to the writings of kreihi, violence is considered as a process with a certain duration, length and periods, as well as a special kind of aggression of violence. Lenore Walker’s three-phase theory used the concept of stages in the cycle of violence. Special attention is paid to the works of S. Pinker, R. W. Vernon, M. E. brown, Anne Burgess and Linda Holmstrom, etc. I. I. Shurygina, L. Berkowitz, P. D. Pavlenok, L. ya. Kurochkina, E. F. leichenko and other scientists. These authors, studying the types, causes and consequences of violence, noted that violence is forced and illegal. Key words: violence, aggression, use of force, cruelty, behavior, coercion.
Analyzing the Visuals and the Message Sent in the INAI Spot in Mexico

The use of media has been used for several purposes, such as entertainment, leisure activity, or as mean to communicate.Currently, federal institutions have employed media with the purpose of being in touch with people.In this case, through radio and video spots the INAI tries to send a message that comforts and reliefs the population in Mexico.In order to discuss such message, I analyze the discourse in the radio spot and the pictures used in the video.The former is examined by the systemic functional linguistics provided by Halliday (1978) and the latter with the Machin's (2010) visual semiotic framework.The findings portray a discourse that pretends solving the problematic situation the country already faces.However, there is not a solid conclusion only a pretentious scape of the responsibility of other federal institutions.
DIFFERENTIAL PRIVACY: A NON-STOCHASTIC APPROACH TO PRIVACY PARAMETER GENERATION

The need for information continually necessitates the gathering and analysis of data. Information is generated from data supplied by individuals and as much as individuals are willing to supply their data, they are much more concerned about their privacy. Anonymization was initially thought of to providing the needed privacy but was discovered that anonymization is prone to linkage attack. This research work investigated differential privacy as a better data privacy method by analyzing three differential privacy mechanisms; the Laplace mechanism, exponential mechanism, and the median mechanism. In this study, epsilon was used as the privacy parameter. The smaller the epsilon value is indicates a greater privacy level and a lower accuracy level of information and vice versa. Researchers tend to use smaller epsilon value as researchers are much more concerned about privacy but industrial counterparts are more concerned about information accuracy. Epsilon value is therefore generated at random depending on whether privacy or accuracy is the major point of focus. Laplace mechanism was implemented in this research work using epsilon generating model that depends on the data set. The results from this research shows an improvedgenerated epsilon value that ensures privacy while maintaining accuracy of information.
UTILIZATION OF FILM GENRE AS PRIOR TEXT STUDY IN TITLE WRITING OF STUDENT CREATIVITY PROGRAM

This study aims to describe the relationship of intertextuality between the titles of the Student Creativity Program (SCP) with film genres. This research is in the form of qualitative descriptive research that is naturalistic in character. The data source used in this study originates from 5 fields of SCP funded in 2018. Data collection is performed in the form of words, phrases, clauses, and sentences through document study. Observation and note-taking techniques are utilized to collect data. The method of data analysis uses translational identity, referential identity, and abductive inferences. The referential identity method is used to identify the relationship of intertextuality in the writing of the SCP titles and film genres. An intertextual study is carried out comprehensively, by finding similarities and differences between the two. Furthermore, the abductive inferences method is utilized to draw conclusions. The data validity test uses theory triangulation. Based on data analysis, it can be concluded that the relationship of intertextuality contained in the SCP titles involves three film genres: (1) animation; (2) drama; and (3) horror. The results of this study indicate that the use of film genres of animation and drama genres as reference texts has high appeal in the writing of the titles of SCP
Implementation of Association Rules to Manage Cross-Selling and Up-Selling for IT Shop

Nowadays sales marketing strategies in showrooms are increasingly innovative. Utilizing information technology, especially data mining to obtain customer habits in shopping. Customer's shopping habits are recorded in each transaction and stored in a data warehouse. This transaction data is actually very valuable and can be elaborated to be used to manage cross selling and up selling in sales stores, including IT showroom stores. IT Showroom stores usually have unusual or unexpected customers shopping for IT needs. Therefore this potential can be exploited for analysis to get behavior from customers by analyzing transactions in a certain period of time using the Rapidminer application. Rapidminer is a fit application to solve this problem because it is equipped with various algorithms, one of which is association rules. Association rules are algorithms that can be used to analyze data and produce recommendations for cross selling and up selling.
Earthquake Early Warning System Prototype Based on Lot Using Backpropagation Algorithm

Earthquakes are vibrations that occur on the earth's surface due to the sudden release of energy from the inside that creates seismic waves. An earthquake is caused by the movement of the earth's crust (the earth's plate). The frequency of a region refers to the type and size of earthquakes experienced during a period. Along with the development of early earthquake detection system technology provides a solution to minimize earthquake events. This research will discuss the system's design to determine the occurrence of earthquakes through time pattern analysis and Peak Ground Acceleration value. By using the Radial Basis Function Method, which later to minimize the loss of life from earthquakes. And help the main tools owned by the government. This study aims to determine the occurrence of earthquakes from Peak Ground Acceleration values and time analysis patterns, which are obtained from the decision of the Backpropagation method with an accuracy rate of 88%.
Using CGI and Python

This chapter is all about how to write programs that will be stored in the cgi-bin directory. This is a special directory because users can execute programs stored in this directory. You need to be extra careful about the programs you write because they can be abused by the users or anyone else with access to your web server.