Reviewerly/exHarmony huggingface dataset:
Pengembangan Media Pembelajaran Pendidikan Kewarganegaraan Berbasis Flash Player di SD Negeri Pucangan 04 Kecamatan Kartasura

The purpose of this development research was to describe the development and feasibility of flash player-based Civics learning media in SD Negeri Pucangan 04 Kartasura. The method used in this development research is Research and Development using the modified Borg and Gall development model into three stages, they are: exploration studies, product development and trial product evaluation. The results and feasibility of this development research are as follows: first, media expert validation of the display aspects and programming aspects obtained an average score of 3.49 percent 69% with a feasible category. Second, the results of the material expert validation score an average of 3.70 percent 74% with a feasible category. Third, the results of the practitioner test (class VI teacher) obtained an average score of 4.76 with a percentage of 95% with a very feasible category. Fourth, the results of users' responses to the statements given answered yes 90% with a very feasible category. Thus, it can be stated that Flash Player-based Citizenship Education learning media deserve to be disseminated.Keyword: development, media, citizenship education, flash player
Classification Model for Bullying Posts Detection

Nowadays, many research tasks are concentrating on Social Media for Analyzing Sentiments and Opinions, Political Issues, Marketing Strategies and many more. Several text mining structures have been designed for different applications. Harassing is a category of claiming social turmoil in different structures and conduct toward a singular or group, to damage others. Investigation outcomes demonstrated that 7 young people out of 10 become the casualty of cyber bullying. Throughout the world, many prominent cases are existing due to the bad communications over the Web. So there could be suitable solutions for this problem and there is a need to eradicate the lacking in existing strategies in dealing problems with cyber bullying incidents. A prominent aim is to design a scheme to alert the people those who are using social networks and also to prevent them from bullying environments. Tweet corpus carries the messages in the text as well as it has ID, time, and so forth. The messages are imparted in informal form and furthermore, there is variety in the dialect. So, there is a requirement to operate a progression of filtration to handle the raw tweets before feature extraction and frequency extraction. The idea is to regard each tweet as a limited blend over a basic arrangement of topics, each of which is described by dissemination over words, and after that analyze tweets through such topic dispersions. Naturally, bullying topics might be related to higher probabilities for bullying words. An arrangement of training tweets with both bullying and non-bullying texts are required to take in a model that can derive topic distributions from tweets. Topic modeling is used to get lexical collocation designs in the irreverent content and create significant topics for a model.
SEMANTIC-SYNTACTICAL STRUCTURE OF SIMPLE SENTENCES WITH SEMI-PREDICATIVE ADJECTIVE COMPONENTS

semAntic-sYntActicAl structure Of simple sentences with semi-predicAtive Adjective cOmpOnents summary.The article explores simple sentences with semipredictive adjective components in semantic-syntactic aspect; secondary predication has been analysed as a marker of semantic complication of simple sentences with semipredicative adjectival components.Semipredicativeness is defined as a syntactic category of a simple (monopredicative) complicated sentence, that has acquired formal features, namely, its structuring according to a certain grammatical pattern, where the participle, the verbal adverb, the adjective or the noun with an apositive function take a central position; its intonation of detachment; its syntactic autonomy and dismemberment.In this respect, semipredicative adjectival components is interpreted as embodied through detachment mono-or multi-lexeme syntactic formations appearing as a result of shortening of a simple elementary sentence into a non-sentence proposition.A central position in it is occupied by a secondary attributive syntaxeme represented by an adjective, that is grammatically and semantically related to a basic part of a simple complicated sentence and it illustrates secondary predicative-attributive relations (sometimes bearing adverbial features).The research focuses on the study of the results of simple sentences with semipredicative adjectival components as representatives of macrosituations that are formed through combination of statements about basic and secondary situations.Grammatical and semantic correlations of secondary adjectival syntaxemes with a subject and predicate of the basic structure of a simple unelementary sentence.Basic types of realization of semantic-syntactical relations between the proposition represented by a sentence and the shortened proposition have been characterized through categories of relative temporality, relative modality and partial induvidualization of semipredicative adjectival components.
BoostGAN for Occlusive Profile Face Frontalization and Recognition

There are many facts affecting human face recognition, such as pose, occlusion, illumination, age, etc. First and foremost are large pose and occlusion problems, which can even result in more than 10% performance degradation. Pose-invariant feature representation and face frontalization with generative adversarial networks (GAN) have been widely used to solve the pose problem. However, the synthesis and recognition of occlusive but profile faces is still an uninvestigated problem. To address this issue, in this paper, we aim to contribute an effective solution on how to recognize occlusive but profile faces, even with facial keypoint region (e.g. eyes, nose, etc.) corrupted. Specifically, we propose a boosting Generative Adversarial Network (BoostGAN) for de-occlusion, frontalization, and recognition of faces. Upon the assumption that facial occlusion is partial and incomplete, multiple patch occluded images are fed as inputs for knowledge boosting, such as identity and texture information. A new aggregation structure composed of a deep GAN for coarse face synthesis and a shallow boosting net for fine face generation is further designed. Exhaustive experiments demonstrate that the proposed approach not only presents clear perceptual photo-realistic results but also shows state-of-the-art recognition performance for occlusive but profile faces.
The Effect of Teachers` Language of Possibility on the Nurturing of the Students` Multiple literacies

The Effect of Teachers` Language of Possibility on the Nurturing of the Students` Multiple literacies
Behavior and attitude of the mobile phones users towards SMS advertising: A study in an emerging economy

Advertisement through SMS is a commonly used medium in the era of technology.Companies are utilizing this medium of advertisement quite frequently.Rapid increase of the usage of mobile phone has developed an innovative way of utilizing this marketing tools.Due to the exponential growth in telecommunication industry after introduction of SMS and MMS, this study has conducted to investigate the consumer attitude towards SMS advertisement and its relationship with behavior.Entertainments, irritation, product involvement and appeal were used in order to investigate attitude of the consumer.A questionnaire was used to examine the relationship among variables of the study.Overall 350 useable responses were gathered.SEM was used to obtain the results of the overall model.Result of the study indicates that 1 product involvement, appeal and entertainment have a positive impact on attitude towards advertisement.Only irritation was found to be negatively insignificant.(2) Relationship between consumer attitude towards SMS advertising and attitude was positively significant.(3) Positive and direct relationship between attitude and consumer behavior was also found.(4) Permission appeared to be significant on consumer attitude towards mobile advertisement, which confirmed that prior permissions required to gain the positive response of the consumer.(5) Consumer are attracted by rewards therefore monetary benefits was also found to be significant factor.
Perancangan Sistem Informasi Inventaris Gereja GBIS Nusukan Berbasis Web

GBIS Nusukan Church is a church located in Cangakan, Nusukan, Banjarsari, Surakarta. GBIS Nusukan Church does not yet have an information system in managing the church's goods, finances and activities. The information in the GBIS Nusukan Church such as goods, church activities and financial arrangements that have not been neatly arranged and data management manually makes it difficult for church officials to process data and spend more time. In order to deal with these problems an information system is needed that can be accessed easily, anywhere and anytime by church officials along with conveying fast, accurate and accurate information about goods, finance or Church activities of the GBIS Nusukan Church to residents. Because of this problem a website-based church inventory information system was created with a codeigniter framework, MySQl database, and Hypertext Preprocessor (PHP) aimed at facilitating church officials in processing data on church goods, activities and finances as well as making it easier for residents to find information about the church through the website system. The stages of this research include requirements analysis, implementation, system testing and system design. The GBIS Nusukan Church's inventory information system was tested using the black box method and submitted statements that were filled in directly by residents and Church officials of the GBIS Nusukan Church which resulted in 80% stating that this website was suitable for use by residents and officers. For making this web-based church inventory information system can make it easier to process church information.
Context-Aware Recommender Systems: Challenges and Opportunities

In this review, we attempt to highlight major concepts, techniques, challenges and future trends of context-aware recommender systems in social and scientific domains. The primary objective of this paper is to sum up the most recent developments in this rich knowledge area. A set of techniques and major frameworks available for context-based recommender systems are classified and introduced. Along with classical content-based, collaborative filtering and matrix factorization based techniques, we investigate the most recent research areas, i.e., deep learning and fuzzy logic based methodologies. Finally, we close by portraying potential future research opportunities with respect to utilizing context information in recommendation process.
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to many NLP tasks. However, existing sememe KBs are built on only a few languages, which hinders their widespread utilization. To address the issue, we propose to build a unified sememe KB for multiple languages based on BabelNet, a multilingual encyclopedic dictionary. We first build a dataset serving as the seed of the multilingual sememe KB. It manually annotates sememes for over $15$ thousand synsets (the entries of BabelNet). Then, we present a novel task of automatic sememe prediction for synsets, aiming to expand the seed dataset into a usable KB. We also propose two simple and effective models, which exploit different information of synsets. Finally, we conduct quantitative and qualitative analyses to explore important factors and difficulties in the task. All the source code and data of this work can be obtained on https://github.com/thunlp/BabelNet-Sememe-Prediction.
Analytical Study of Security Ciphers Based on Quality of Service Parameters

Quality of service is a relevant term in today’s computing scenario. Quality is a subjective issue; we need to devise some parameters, based on which quality can be measured. In this paper, we devised metrics on the basis of which we compared cryptographic strengths of ciphers namely SDES (Simplified Data Encryption Standard), DES (Data Encryption Standard), 2DES (Double Data Encryption Standard), BLOWFISH, CAST (Carlisle Adams Stafford Tavares) –128  and found the strongest and weakest cipher. This comparison has been made by using metrics namely Block size, Encryption key length, Complexity of round function F, Confusion & Diffusion, S-boxes, Number of operators involved and Number of Cycles. After analyzing all the ciphers, we have arranged them in tables with respect to each metric.
Mechanical parameters identification of keloid and surrounding healthy skin using Digital Image Correlation measurements in vivo

The human skin behaves as an elastic membrane initially prestressed but not uniformly. The presence of anatomical sites favorable to the appearance of some tumors, a keloid in our case, while other sites never develop them attests to the importance of the mechanical environment of the tissue. Thus, a mechanical characterization of the tumored skin is necessary to understand the keloid expansion from a mechanical point of view. Our case study consists in modeling a bi-material structure composed of a keloid skin surrounded by healthy skin located on upper left arm of a young female. From the experimental measurements in vivo, by combining force sensor, displacement sensor and Digital Image Correlation techniques, we perform a mechanical analysis to characterize the mechanical stress fields over the entire area and on the interface ‘healthy skin/keloid skin’. Since the mechanical behavior of the tumorous skin is unknown, many physical models can be implemented and assessed very easily inside the specific digital software to fit with the real data. Once a set of mechanical parameters for both the healthy skin and the keloid skin are identified, the stress fields around the keloid are calculated. Next steps consist in determining matching preferential directions in order to define as precisely as possible the specifications of a device for preventing the growth of keloids.
Differentially Private Top-$k$ Frequent Columns Publication for High-Dimensional Data

Differential privacy (DP) is a promising scheme for releasing the results of statistical queries on sensitive data. This paper focuses on top-k frequent columns publication on sensitive data, with high result utility under differential privacy. Existing works directly select frequent columns from all columns (called one-phase scheme), which is far from ideal due to the large privacy consumption or misjudgments for columns with frequencies close to the frequency of the k th frequent column (called near-k-fluctuation-column). This paper presents a new solution Two Phase Selection (TPS) to carefully choose frequent columns in two phases. The main idea is to classify columns into two distinct categories based on whether it is one near-k-fluctuation-column or not. Frequent columns are chosen from the two categories using different techniques, which is totally different from existing solutions without classifying. Furthermore, by analyzing the distribution of near-k-fluctuation-columns, we introduce a block-centric column-choosing method privacy-free-mechanism (PFM). By partitioning columns into blocks, PFM makes the privacy consumption proportional to the number of blocks, instead of frequent columns. Extensive experiments on real datasets show that our proposals outperform the state-of-the-art techniques for top-k column publication.
Securing cloud storage through face recognition mode

In many cases benefits given by a cloud server isn’t completely trusted by clients. Presently data are corrupted by an unauthenticated user with the help of employee’s. Generally, data are securely handled by Separate Organization but some employees sell their access specifiers to hackers for money due to single level Management and data are not made safe. To overcome this issue we move towards Advance Safe technology where data are downloaded by the user (admin or organization) with the help of face detection video mode when they accept the user request by recognizing their face among the hierarchy of employees and then the data is shared from one place to another. Here Encryption Algorithm is used for sharing data in a secure means by detecting a face in hierarchy.
Direct Mappings between RDF and Property Graph Databases.

Resource Description Framework (RDF) triplestores and Property Graph (PG) database systems are two approaches for data management that are based on modeling, storing and querying graph-like data. Given the heterogeneity between these systems, it becomes necessary to develop methods to allow interoperability among them. While there exist some approaches to exchange data and schema between RDF and PG databases, they lack compatibility and even a solid formal foundation. In this paper, we study the semantic interoperability between RDF and PG databases. Specifically, we present two direct mappings (schema-dependent and schema-independent) for transforming an RDF database into a PG database. We show that the proposed mappings possess the fundamental properties of semantics preservation and information preservation. The existence of both mappings allows us to conclude that the PG data model subsumes the expressiveness or information capacity of the RDF data model.
ENSIKLOPEDIA BERDASARKAN KEANEKARAGAMAN DAN KEMELIMPAHAN PLANKTON PADA EKOSISTEM MANGROVE MENGARE GRESIK

This study aims to determine the diversity and abundance of plankton at Mangrove Ecosystem in Mengare Gresik , which is used as the basis for the constituent material of reading media in the form of an encyclopedia. This research was conducted from boasting in March-July 2019 in Mengare Gresik Forestry Ecosystem Area. The study was conducted using descriptive quantitative methods. The results showed that the diversity and abundance of plankton at  Mangrove Ecosystem in Mengare Gresik found 14 phytoplankton species and 11 zooplankton species with the value of diversity and abundance index belonging to the medium level. The results of the study were made as compilers of learning media which the end result was an encyclopedia. After doing the validation with an average value of 87.5% validation it can be stated that the encyclopedia is worthy of being used as a learning media and reading media that is interesting for students. Keyword:Diversity, Abundance, Plankton, Ensiklopedia
교육연극을 활용한 역사와 전통예술의 통합교육 프로그램 - 초등학교 저학년 역사교육의 가능성 탐구

Since 1954, there have been 10 reformations of Korean educational curriculum, including one that was confirmed in December 2015 for implementation of a new textbook composition in 2017. Up to now, the Korean educational system has not provided low grade elementary students with history education because the understanding of history requires a degree of competence with abstract concepts. However, ''Domain-specific cognition theory'' states that an effective teaching method can promote children’s understanding of any concept when it employs skills in accordance with the structure of the specific subject taught. Considering that educational programs integrating arts can enhance learning effects of children, this research supposed that an experimental model integrating Korean history and traditional arts could be a tool of teaching history for low grade elementary students. In order to reinforce the experiential teaching method, this research supposed that this integrating program needed ‘process drama’, which created an integration of history, drama and dance. An educational programme which was organized in 2015 by the Korean National Company of Dance “Play with Korean Traditional Dance : Exploring expedition for history” proved that a programme of ‘Drama in Education’ Integrating Korean history and Traditional arts excelled in educational function in terms of history and dance. This programme increased both the understanding and interest of the participants by the concreteness of the dramas. They also helped participants to naturally overcome passiveness through the physical movements of dances that actively engage them in history learning by stimulating their emotional flexibility at the same time. As dances unfolded within the historical contexts, children could learn how the dances have been created and developed in real life through dramatic activities, and gain increased understanding and interest in Korean dances. This research shows that a program that integrates history, traditional dance and theatre is an effective teaching method that enables low grade elementary students to learn history.
Kegiatan Katalogisasi Dalam Pengolahan Koleksi DVD Film Di Kepustakaan PDDI LIPI Kawasan Bandung

Cataloging is one of the important activities in the library in order to process library or collection materials.The purpose of this paper is to find out how to process library material the DVD Film collection in Kepustakaan PDDI LIPI Kawasan Bandung.There are several differences in how library materials are processed by Kepustakaan PDDI LIPI Kawasan Bandung, because they use the Resource Descripction and Access (RDA) cataloging guidelines and use the Universal Decimal Access (UDC) classification guidelines.The research method used is descriptive qualitative method that explores and knows the process of cataloging activities.The cataloging process by Kepustakaan PDDI LIPI Kawasan Bandung namely; 1) Completion of RDA Form 2) Validation of RDA Form 3) Data Entry to the Inlislite System.In addition to the different cataloging systems, the library automation system used is also different.The automation system used is the latest version of the initiative developed by Perpustakaan Nasional Republik Indonesia.Cataloging activities of DVD movie collections using RDA guidelines, are very good because the guidelines and systems that have been supported to keep abreast of technology and information.In addition, it can facilitate users in information retrieval.
Leveraging disaster recovery in the cloud as a cloud migration path: A case study.

Over the years, the 'cloud' has gained increasing traction in assisting organisations to become more resilient. Building on such successes as migrating office applications using Office 365, organisations are now looking to move disaster recovery to the cloud as a viable solution to protect critical applications at the time of disaster. This paper explores one organisation's journey through the maze that is disaster recovery cloud deployment. Using a case study format, it will explore the organisation's previous experience with cloud applications, the challenges it faced, the solutions put in place to address those challenges, the results of the deployment, the risks, and finally the benefits of the solution going forward. Finally, the paper will walk the reader through the ten steps that an organisation should take to move its own disaster recovery environment to the cloud.