Reviewerly/exHarmony huggingface dataset:
Studying the Variability of System Setting Effectiveness by Data Analytics and Visualization

Search engines differ from their modules and parameters; defining the optimal system setting is challenging the more because of the complexity of a retrieval stream. The main goal of this study is to determine which are the most important system components and parameters in system setting, thus which ones should be tuned as the first priority. We carry out an extensive analysis of 20, 000 different system settings applied to three TREC ad-hoc collections. Our analysis includes zooming in and out the data using various data analysis methods such as ANOVA, CART, and data visualization. We found that the query expansion model is the most significant component that changes the system effectiveness, consistently across collections. Zooming in the queries, we show that the most significant component changes to the retrieval model when considering easy queries only. The results of our study are directly re-usable for the system designers and for system tuning.
Redefining EFL (English as a Foreign Language) Teachers' Roles in Technology-Integrated Instruction

In this digital era, teachers are demanded to have the capability to cope with digital native students. One way to approach them is by incorporating technology into instructional process. Technology has been proven to be beneficial in classroom context despite several accompanying challenges. While most research focuses on beliefs, practices, challenges, benefits, and opportunities of technology-integrated instruction, this research highlights the shifting roles of English as a foreign language (EFL) teachers while integrating technology in their teaching. Data collected from interview and lesson plans analysis generate information on technology-based learning activities in EFL classroom and the shifting roles of teachers within technology-integrated instruction. Respondents manage to identify challenges they face while integrating technology in EFL classroom as well as offering solutions to those problems respective to their contexts.
Hierarchical Feature Selection with Orthogonal Transfer

Feature selection is an indispensable preprocessing step in high-dimensional data classification, which has an effect on both the running time and the result quality of the subsequent classification processing steps. Most existing approaches use flat strategies, which treat each category or class separately and ignore hierarchical structure. In this paper, we propose a hierarchical feature selection algorithm with orthogonal transfer. We first compute the weight of the feature to the category by hierarchical SVM with orthogonal transfer. More specifically, we use an objective that is a convex function of the normal vectors to compute the weight. Then, we select features using the weight and predict the class label for a test sample according to classifier. Finally, extensive experimental results on various real-life datasets have demonstrated the superiority of the proposed algorithm.
Pelatihan Internet Pembuatan Blog bagi Guru-Guru HIMAPAUDI Kecamatan Kemayoran, Jakarta

INTERNET TRAINING OF BLOG MAKING FOR TEACHERS OF HIMAPAUDI OF KEMAYORAN DISTRICT, CENTRAL JAKARTA. In the current era of Digitization 4.0, all data and information must use technology based on a fully computerized system, where output is displayed and produced in electronic form. Thus the need for internet for HIMAPAUDI Teachers is in dire need and necessary for Internet training. Especially in the case of making BLOGs. Blog creation training using Blogspot by following the rules for making Blogs. Before the training process, the pretest test was conducted, the results of which were decidedly less than expected. After going through the training process, participants were asked to fill out instrumentation in the form of a questionnaire, and the results were processed using the direct rating method, method combined with pure mathematics, using five variables and 10 question indicators, it turns out the results obtained using a combination of these two methods give the predicate value very well and through the graphic line the results are scoring 87.27. Thus it can be said that there is an increase in learning outcomes through this training. Thus the training process can provide a significant improvement in the achievement of the progress of HIMAPAUDI teachers in the Kemayoran District, Central Jakarta.
Towards Generating Explanations for ASP-Based LinkAnalysis using Declarative Program Transformations

The explication and the generation ofexplanationsare prominent top-ics in artificial intelligence and data science, in order to make methods and sys-tems more transparent and understandable for humans.This paper investigates the problem oflink analysis, specifically link predictionand anomalous link discovery insocial networksusing the declarative methodof Answer set programming (ASP). Applying ASP for link prediction providesa powerful declarative approach, e. g., for incorporating domain knowledge forexplicative prediction. In this context, we propose a novel method for generatingexplanations – as offline justifications – using declarative program transforma-tions. The method itself is purely based on syntactic transformations of declara-tive programs, e. g., in an ASP formalism, using rule instrumentation.We demonstrate the efficacy of the proposed approach, exemplifying it in an ap-plication on link analysis in social networks, also including domain knowledge
Autonomous Passive Localization Algorithm for Shared Bikes

Opportune and accurate position information of the ubiquitous shared bikes can help users rapidly find the available bicycle around them. In order to remove the professional locating device of bicycles and reduce industrial costs, a passive positioning method for shared bikes named PSA is proposed in this paper with the support of activity recognition based on deep learning. First, an action recognition module based on LSTM algorithm is constructed through training three-axis accelerator data collected by commercial mobile phone to distinguish user's riding state from other actions like walking or running; then, the GPS module embedded in the user's mobile phone will record the location when the state changes from riding to non-riding, which is regarded as the bike's return location. Furthermore, considering the variety of state changing during riding procedure, a duration threshold mechanism is added for the sake of fault tolerance processing. Several simulations and test-bed experiments were conducted to verify the feasibility and practicality of the proposed method, where the accuracy of activity recognition in practical data set can reach more than 95% and the detection time in public data set is less than 0.2s. In addition, this method reduces phone operations and enhances the convenience of the experience.
Policy to Prevent and Combat Cyber-crime in Africa

The global nature of the Internet has enabled extremely fast communication and transfer of most forms of human activity to the network, including those negatively received.Cyberspace is increasingly being spoken of as a new social space in which the same problems are reflected in the real world.Cybercrime is therefore a modern form of crime, exploiting the possibilities of digital techniques and the environment of computer networks.The research subject of this article is the policy of combating and preventing the phenomenon of cybercrime, while the research subject is Africa.At the beginning, the following research hypotheses were adopted: the slow pace of economic development of African countries is conditioned by the lack of appropriate legal regulations in the field of policy against cybercrime.This favors the development of economic cybercrime, which in turn testifies to the lack of measurement and control tools to limit and counter the very phenomenon of cybercrime in this area.Secondly, more importantly, the slow pace of ratification of international agreements also indicates that it will probably take longer than originally assumed that appropriate instruments of public international law could be legally binding within the African Union.Thirdly, the assumption was made that Africa is a potential for future economic development.In turn, the increase in the absorption and use of the Internet will contribute to its economic growth over time, which will continue to lead to the growth of cybercrime.The author, within the framework of this, publication, tries to show institutional and legal deficiencies on selected examples and indicate scenarios for preventing this phenomenon.
AN ANALYSIS OF IDEATIONAL MEANING REALIZED ON RECOUNT TEXTS IN ENGLISH TEXTBOOK FOR SENIOR HIGH SCHOOL GRADE X

This research is aimed at analyzing the ideational meaning realized on recount texts in English textbook for Senior High School Grade X. The objectives of this study are to describe the dominant processes and circumstances realized on recount texts in English textbook. The researcher employed qualitative descriptive as the research design. The data were taken and collected through a documents collection. The documents were collected from English textbook for Senior High School Students Year X (revised 2017). This book was published by Pusat Kurikulum and Perbukuan, Balitbang, Kemendikbud (2017). There were 4 recount texts that analyzed and identified. The researcher used transitivity analysis as tool to analyzes recount texts. The results of data analysis showed that the dominant processes found on recount texts is material processes. It occurred 90 times (51.8%) in the textbook and it refers to process of construing material of action and doing. Meanwhile, the dominant circumstances found on recount texts is circumstances of time. It is occurred 40 times (44.4%) and it refers to answer question such as “when?” and also to give information about times. Finally, this research is recommended for the students of English education program who want to improve their understanding about SFL especially in ideational meaning. Keywords: Ideational meaning, recount texts, textbook
MOTIVASI BERPRESTASI SEBAGAI MEDIASI PADA HUBUNGAN ANTARA DUKUNGAN SOSIAL DAN KETERLIBATAN SISWA DI SEKOLAH

Students engagement is a very important variable to support students' academic achievement and success. Previous studies showed that the students who disengage will show a lazy behavior and will mislead them to dismiss their classes and even lead them to stop getting to school.This research aims to give an understanding to all professionals around the students', such as their parents, teachers, and peers about the importance of stimulating the students' motivation so that they will engage in some particular school activities. The specific purpose of this study is to examine the correlation between the social support and students engagement at school mediated by achievement motivation.This research is a correlational research. The dependent variable (y) is students engagement measured by the school engagement index. While the Independent Variable (x) is a social support measured by using child and adolescents social support (CASS). Veriable mediation is an achievement motivation measured by Achievement Motive Scale. Data were analyzed by using the path analysis method. Participants were 120 students of senior high school number 3 Palopo selected by using the proportional sampling technique.The results showed that there was a significant positive correlation among social support, achievement motivation, and students engagement. While achievement achievement motivation can not be functioned as the mediator on the relationship of social support and student engagement, it is shown from the direct correlation which is greater than the indirect one. The results of this study contribute to the education sector in particular to minimize the students’ disengagement.
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning

The seeded Watershed algorithm / minimax semi-supervised learning on a graph computes a minimum spanning forest which connects every pixel / unlabeled node to a seed / labeled node. We propose instead to consider all possible spanning forests and calculate, for every node, the probability of sampling a forest connecting a certain seed with that node. We dub this approach Leo Grady (2006) already noted its equivalence to the Random Walker / Harmonic energy minimization. We here give a simpler proof of this equivalence and establish the computational feasibility of the Probabilistic Watershed with Kirchhoff's matrix tree theorem. Furthermore, we show a new connection between the Random Walker probabilities and the triangle inequality of the effective resistance. Finally, we derive a new and intuitive interpretation of the Power Watershed.
Rancang Bangun Media Pembelajaran Matematika Matriks Untuk Kelas X Di SMK Muhammadiyah 1 Sragen Berbasis Mobile Learning

In the world of education, especially schools the development of science and technology plays an important role in the learning process. Along with the development of technology, learning media used by educators participate in developing, educators not only use conventional media such as Student Worksheets (LKS) or textbooks but educators are required to make innovations that make it easier for students to accept the material presented. The purpose of this research is to develop mobile learning learning media that can be used in the learning process, this research uses research and development (RD 2) Material expert assessment with an average score of 75 included in the extraordinary category; and 3) Student assessment with an average grade of 70,119 included in both categories. The assessment was obtained from the SUS (System Usability Scale) questionnaire. The conclusion of this research is that by using mobile learning media learning can increase students' learning motivation.
Honour, Hate and Violence in Social Media: Insights from India

Honour-based hate content is predominantly generated from family hate content and may affect humanity. In the Indian context, analysis of multiple resources such as literature, reported articles and social media sites pertinent to honour-based hate content is less. Therefore, the purpose of this paper is to identify and understand the influencing factors and emotions of honour-based hate content. A review of literature, news articles on honour killing and the analysis of Twitter content are made to attain the purpose. In India, factor like marrying a person against family members' ideologies is observed as dominating among other factors of honour-based hate content. It has been also observed that emotions such as anger, fear, disgust and sadness are used to express hate. Possible impacts of honour-based hate content on family and society are discussed. The analysis of emotions about honour and hate content increases novelty of the article.
Quaternary group ring codes: Ranks, kernels and self-dual codes

We study $ G $-codes over the ring $ {\mathbb{Z}}_4 $, which are codes that are held invariant by the action of an arbitrary group $ G $. We view these codes as ideals in a group ring and we study the rank and kernel of these codes. We use the rank and kernel to study the image of these codes under the Gray map. We study the specific case when the group is the dihedral group and the dicyclic group. Finally, we study quaternary self-dual dihedral and dicyclic codes, tabulating the many good self-dual quaternary codes obtained via these constructions, including the octacode.
A Study on Pop Music Teaching Innovation Under the Background of “Internet+”

Pop music, as an important part of the music teaching system in Colleges and universities, adopts the teaching mode based on “Internet+”, which is conducive to the integration of traditional classroom teaching and new teaching concepts. The characteristics of Internet resource richness can fully mobilize the interest of music learning of college students, so that students can actively invest in music learning to cultivate musical comprehensive qualities with an emphasis on innovation.
Penerapan Algoritma Apriori Terhadap Data Penjualan Di Swalayan Koperasi Bappenas Jakarta Pusat

Supermarkets are a place to supply daily necessities ranging from nine basic commodities to household needs. Every day there are several sales transactions, which that data will increase continue. Usually these sales data are only used as store archives, actually in sales data there are information that can be used to find out the most sales simultaneously so that a method is needed to find out which products has selling well using apriori algorithm and tools rapid miner help. From the results of analyzing the sales data, consumers who conduct basic needs product transactions obtained from the purchase of dominating item combinations are a combination of Indocafe Jar 200g and Kapal Api 165g items with the highest support value of 0,213. Then, the buyers of item combination which dominates Max Creamer 450gr item and Kapal Api 165gr confidence value are 0,958 and the buyrs combination of Gulaku Kuning and Kapal Api 165g support value are 0,259 From these results, concluded every consumer buys Indocafe Jar 200g there is an indication that consumers will also buying Api Kapal Api 165gr as well as Gulaku Kuning with Kapal api 165g and Max Creamer 450gr and Kapal Api 165gr .
Types of narcissistic self-regulation in the context of personal fulfillment

Aim. The aim of the research is to generalize different types of "healthy" narcissistic Self-regulation and to disclose the specific of self-fulfillment and personal life satisfaction.&#x0D; Method. The empirical study involved 360 Ukrainian students (N=360), aged from 17 to 24. The following research methods were used F. W. Deneke and B. Hilgenstock’s Narcissism Inventory (1989), A. Längle and C. Orgler’s Scale of Existence (2003), E. Diener’s Satisfaction with Life Scale (1985), D. Polhus and C. Williams’s "Dark Triad of Personality" questionnaire (2002). The obtained data were processed by multivariate statistics (Statistica 8.0 and Exel), using cluster and comparative analysis (Student's t-test, Scheffe Test).&#x0D; Results. The analysis shows that the most effectively functioning narcissistic self-regulation type is characterized by high narcissism that goes together with the high self-power. The personal fulfillment indicators (such as: self-distance, self-transcendence, freedom, responsibility, existentialism, and personality) are also growing in such conditions. Adequate narcissistic self-regulation goes together with the more meaningful relations with reality and enrichment of the person’s internal emotional life. With the growth of narcissism raises rather positive life acceptance and affirmative attitudes towards “Being” and oneself in it.&#x0D; Conclusions. Narcissistic self-regulation is a mechanism that cares about the stability and integrity of the self-system, makes it possible to accept and appreciate one’s own personality. Only through the prism of prizing oneself (high, but functional narcissism) the value of other people and the world could be seen. This opens the possibility to find and fulfill the meaning of existence.
Minat Dan Motivasi Belajar Bahasa Jepang (Studi Kasus Terhadap Mahasiswa Jurusan Sastra Indonesia 2016/2017 FIB Undip)

(Title: Interest and Motivations in Japanese Learning) This article is the result of a case study for Japanese learners as the second foreign language. The large number of students taking Japanese language courses is the basis for this qualitative research. The respondent in this research was 70 Indonesian Literature students in 2016/2017. The purpose of this study research was to determine the interests and motivations of their interest in learning Japanese. There are four elements of interest and two types of motivation that are the focus of this research. With the questionnaire and interview methods, as a result it is known that the interest of the respondents is quite high based on the element of pleasure as the most answer. This element of pleasure includes the respondents' interest in the Japanese things such as anime,manga and festivals. In terms of motivation, it is indicated that the most of the respondent reason refers to type of integrative motivation. The emergence of that integrative motivation is based on their interest in the uniqueness of Japanese language and the attractiveness of Japanese cultural arts.
MEDIA KNOWLEDGE IN DIGITAL TRANSFORMATION: CONCEPTS AND MEANINGS OF FICTIONAL DIGITAL STORYTELLING

Historically, art and beauty are classified and tagged.The classes and tags are the major limitations of human's weaknesses in confronting, representing and communicating the subjects and entity of reality in the physical world.The challenge of this paper is to investigate these intellectual search dimensions of human quest in managing interpretations specifically in the arts and science of perfecting storytelling knowledge in this digital era.To empower our role as audience of today's shared content, we need to question the study for the state of digital transformation processes that digital "storytellers" are facing in this intellectual search.This paper aims to investigate and tap into that specific knowledge area, and help identifies and analyze steps of critical conditioning of the digital landscape transformation processes, as we play the role of blended content creators and engage at the same time as media content audience during stories creations and expressions sharing processes.This paper discusses the models for development of fictional storytelling concepts, examines the real-world fictional stories representation mapping steps, appropriating digitalstorytelling tasks, identifying problems in knowledge representations (creator's input) and interpretations (audience perception) and reflecting on digital world manifestation modes as possible solutions.Investigations present contributing factors for content stories representations that will infer new insights of knowledge during media content creations and development processes.Conclusion will be drawn from theoretical and experiential study insights discussing the changing needs of recognizing media, not only as "windows" for stories expressions to audience.The focus will elaborate subjective issues designers and marketing content developers are facing, aiming to draw findings to re-position content "design thinking" as "elements" for media change and value creations in digital economies context.
Proposed Aspect Based Sentiment Analysis system for English reviews

Reviews are a crucial source of opinions that may influence the decision in many areas. So there is a need for an algorithm that is efficient in understanding the aspects that the reviewers have focused on in their reviews and comments on social networks or other web applications. This paper submits a proposed approach for aspect-based sentiment analysis that consists of two steps; the firststep is by a proposedp_chunker algorithm for aspect extraction using Latent Dirchilet Analysis and noun phrase chunking, the second step is sentiment analysis using a proposed hybrid algorithm that depending on both lexicon and supervised sentiment analysis to specify the sentiment for extracted aspects. The proposed paradigm is tested using standard datasets from kaggle for both aspect extraction and sentiment analysis, the result show efficacy in the proposed method.
How to implement effective mass notification systems.

When an emergency occurs, organisations have a limited amount of time to respond before the consequences become increasingly worse. Implementing an effective emergency management notification system can help avoid potentially catastrophic outcomes. This paper provides recommendations for achieving buy-in from stakeholders as well as tips to properly implement, test, audit and improve results.