Reviewerly/exHarmony huggingface dataset:
An alternative characterization of MAR in shared parameter models for incomplete longitudinal data and its utili

textabstractDropout is a common complication in longitudinal studies, especially since the distinction between missing not at random (MNAR) and missing at random (MAR) dropout is intractable. Consequently, one starts with an analysis that is valid under MAR and then performs a sensitivity analysis by considering MNAR departures from it. To this end, specific classes of joint models, such as pattern-mixture models (PMMs) and selection models (SeMs), have been proposed. On the contrary, shared-parameter models (SPMs) have received less attention, possibly because they do not embody a characterization of MAR. A few approaches to achieve MAR in SPMs exist, but are difficult to implement in existing software. In this article, we focus on SPMs for incomplete longitudinal and time-to-dropout data and propose an alternative characterization of MAR by exploiting the conditional independence assumption, under which outcome and missingness are independent given a set of random effects. By doing so, the censoring distribution can be utilized to cover a wide range of assumptions for the missing data mechanism on the subject-specific level. This approach offers substantial advantages over its counterparts and can be easily implemented in existing software. More specifically, it offers flexibility over the assumption for the missing data generating mechanism that governs dropout by allowing subject-specific perturbations of the censoring distribution, whereas in PMMs and SeMs dropout is considered MNAR strictly.
STRESS MANAGEMENT IN PEDAGOGIC ACTIVITY: BASIC ORGANISATION DIRECTIONS

The article examines issues related to the study of the problem fi eld of the stress phenomenon in pedagogic activity, consideration of the features of its manifestation in the pedagogic environment, the possibilities of organising stress management in the functional space of pedagogic work. Topicality of the research direction outlined in the article is determined by the high social signifi cance of pedagogic activity, which represents a special socio-professional space in which the whole spectrum of social relations, the variety of communicative contacts that are realised at different levels of the organisation of the educational process and with different categories of participants in educational relations are focused, hich objectively entails the emergence of situations that can destabilise a pedagogue’s personality, modify the procedural route of pedagogic activity and lead to the emergence and development of stress. A theoretical analysis of scientifi c research is conducted, devoted to the study of the conceptual space of the stress problem, its essential characteristics, manifestations in the pedagogic environment, factors determining the occurrence of stress among pedagogues, the content of stress management in the functional coordinates of pedagogic activity. Based on the study, a system of principles is defi ned that sets the guidelines for the substantive-procedural dynamics of stress management, which determines the priority personal and organisational vectors of the anti-stress management trajectory. The contents of the leading areas of stress management in pedagogic activity are disclosed, key organisational and pedagogic tools for their implementation in the pedagogic environment are identifi ed. According to the results of the study, it was found that the organisation of systematic work on stress management in pedagogic activities implemented in an educational organisation, the active integration of pedagogues as key subjects of pedagogic work into its functional and process orbit, is an important factor in increasing the personal and professional success of a pedagogic worker, a necessary condition for the effectiveness of pedagogic activity and the development of the pedagogic environment.
Sosialisasi Konservasi Penyu Laut Berbasis Edukasi di SMPN 1 Desa Keude Panga Kecamatan Panga Kabupaten Aceh Jaya Provinsi Aceh

According to observation and interview that undertaken in Panga District Aceh Jaya Regency that there are 3 species of sea turtle with coastal line is 9.3. km. The third of such sea turtle including Olive ridley sea turtle(Lepidochelys olivacea), hawkbill sea turtle (Eremochelys imbricate), leatherback sea turtle (Dermochelys coriacea). The target of community that involved in socialization of sea turtle are student of junior high school. Earlier education to young generation regarding the important of sea turtle conservation educated-based is the effort for keeping sea turtle in natural with undertook the socialization to young generation in order to grow a caring and loving to sea turtle sustainablity. Coastal community still undertook to hunting sea turtle’s eggs for trading in the traditional market dan restaurants. It is caused by lack of understanding and awareness regarding sea turtle that threaten scarce. In this activity, the researcher will undertake persuasive approaach and solutive in changing a mindset of young generation gradually that inhabit in near nesting site. In this activity including suvey activity prior to socialization that near the nesting site, socialization activity in the SMPN 1 Panga that selected as target school in the socialization of Sea Turtle Conservation, conducting the retelling story games, and conducting hatchlings release programme to the sea with community elements.
Secure and Efficient Matrix Multiplication with MapReduce

MapReduce is one of the most popular distributed programming paradigms that allows processing big data sets in parallel on a cluster. MapReduce users often outsource data and computations to a public cloud, which yields inherent security concerns. In this paper, we consider the problem of matrix multiplication and one of the most efficient matrix multiplication algorithms: the Strassen-Winograd ( $$\text {SW} $$ ) algorithm. Our first contribution is a distributed MapReduce algorithm based on $$\text {SW} $$ . Then, we tackle the security concerns that occur when outsourcing matrix multiplication computation to a honest-but-curious cloud i.e., that executes tasks dutifully, but tries to learn as much information as possible. Our main contribution is a secure distributed MapReduce algorithm called $$\mathrm {S2M3} $$ (Secure Strassen-Winograd Matrix Multiplication with MapReduce) that enjoys security guarantees such as: none of the cloud nodes can learn the input or the output data. We formally prove the security properties of $$\mathrm {S2M3} $$ and we present an empirical evaluation devoted to show its efficiency.
SISTEM DAN MANAJEMEN SKRIPSI PROGRAM STUDI TEKNIK GEOLOGI UPN “VETERAN” YOGYAKARTA BERBASIS WEBSITE

The thesis is one step that required to be passed by geological students to get a bachelor's degree. The thesis input process was manual since early study program formed in 1958 although has been changed in administration things. There are a lot of problems in administration process due to universities regulation that impacted lecturers and students. The impacts for lecturer are student's supervisor not evenly well distributed, not well connected between the specialization of lecturers and the student's thesis’s topic and still difficult to monitoring student's thesis progress. at the same time, the impact for students is difficult to meet the coordinator. Actually the main problem derived from management administration that not well organized. Management system based on the website is a solution to solve that problem using several function such as limitation for thesis supervisor, monitoring student’s progess and choosing any topic with any lecturer’s competencies independently. The step of this research are observation, interview, collecting support data and developing main system using Waterfall method. The result is a website that containing a thesis management system that could be accessed students, lecturers, and admin in order to simplifying and organizing thesis administration processes.
Blockchain, bitcoin and stigmergy: an explanation and a new perspective for regulation

The need for a legal framework that explains a decentralized system is compulsory to understand whether regulation could be useful and effective. Previous academic frameworks did not manage to explain the intimate development and success of a decentralized cryptocurrency system interpreting the difficult relationship among the various layers and activities. This essay tries to create a model based on swarm intelligence and stigmergy explaining the “organization without organizer”. This innovative model can be useful to obtain a new framework that accounts for the different dynamics of cryptocurrencies and how regulation could affect different classes of actors. The distinction in Essential, Native and Metamorphic actors together with the concept of the “organization without organizer” could explain some dynamics and possibility of intervention.
디지털 세대, 새로운 서사의 향유 방식과 문학교육의 미래

This study aims to assess the narrative characteristics of letter-based web fictions and webtoons among digital narratives and consider their entertainment features in order to examine the directionality of literary education for digital generation learners.The development of digital media brought about changes in not only content and the form of narrative but also reading habits in general. In particular, web fictions and webtoons are gaining popularity among teenagers as typical Snack culture. Web fictions present narrative characteristics similar to those of serial stories in newspapers, in the sense that they are regularly published in a series in a specific unit and include illustrations. owever, based on two features of the media of web and commercial potential, web fictions have been developing as a popular narrative genre with higher readability than that of serial novels in newspapers. Dialogue-centered development, insertion of attractive illustrations, and repetition of narrative formula contribute toward improving readability and the compelling power of web fictions. Webtoons create a sense of tension and speed through vertical scrolls, screen composition, and margins and deliver the dialogues and ideas of characters through diverse forms of speech balloons. Moreover, webtoons also bring in a sense of reality to narratives and increase interest and engagement by inserting multimedia, such as sound, music, photos, and videos, in the illustrations.The introduction of hypertext makes it possible for web fictions and webtoons to present openness, participation, and sharing beyond the text-text and creator-user boundary. Readers of web fictions and webtoons get actively involved in the works and begin to enjoy the narrative that transforms into a variety of media such as dramas and games, rather than merely endorsing their favorite works in a one-way direction. Furthermore, they even expand the world of a text through fan fictions.Since today''s digital generation is strongly accustomed to digital narratives that are visual, popular, and bilateral, they might find it difficult to enjoy and understand letter-centered literature. Nevertheless, this does not imply that their literary competencies are insufficient compared to the previous generation, but both are simply different. Specifically, today''s digital generation enjoys new digital narratives based on the decoding abilities with respect to multimode, bidirectionality, and transformation capacities in relation to text-text and media-media. It is imperative that today''s literature education should deal with the characteristics of more diverse narratives and the methods of enjoyment that are apt for digital generation learners.
Automatic Phonetic Labeling at Word Level Using the Dynamics of Changing Codebook Vectors

An alternative solution is described regarding the phonetic labeling that compose a set of pronounced by an announcer, susceptible of being used in any language, according to the needs and characteristics associated with the proposal. The procedure is based on the monitoring of the dynamics of change of the cepstral vectors associated with the frequency of Mel (MFCCs) that make up the Book Code (LC), extracted from the word to be labeled. This dynamics of change analyzes where a transition from one vector (MFCC) of the LC occurs to another, as well as the disturbances that occur in the zone of change due to the phonetic concatenation. Metrics are established to consider coarticulation noise and define the location of the phonetic separation boundary. Two methods are used to evaluate the dynamics of vector change and deliver the most accurate labeling. The percentage of recognition and correct labeling obtained with this application is 97.9% lower by 1.06%, with respect to the percentage of recognition obtained on the same corpus of words, but using manual labeling. The more important are that, the time used in the labeling of the voice corpus automatically is significantly less than the estimate of being done manually, in addition to eliminating personal subjectivity in the labeling work.
4차산업혁명 핵심기술 도입 및 정보보호조직에 관한 탐색적 연구: 성과측면에서의 비교분석

This explorative study examines the difference in firm performance according to the adoption of the core technology of the Fourth industrial revolution, including artificial intelligence(AI), internet of things (IoT), cloud computing, and big data technology. Additionally, we investigate the importance of internal organizational structure exclusively responsible for information security. We analyze unique microdata offered by the Korea Information Society Development Institute to examine the impact of the adoption of the new technologies and the existence of organizational structure for information protection on firm performance, i.e., firm sales. By considering the core information technology as powerful knowledge assets, we argue that the adoption of such technology leads firms to have comparative advantage comparing to the competitors. Also, we emphasize the need to consider the organizational structure suitable for information security, which can become a structural asset of a firm.
PERSONALITY TYPE TENDENCY TOWARD STUDENTS’ SPEAKING ANXIETY

Pupils at the eleventh grade of SMA N 1 Morotai have different personality types, most of whom often feel anxious when speaking. This research is aimed at finding out whether or not introvert and extrovert personality types have correlation with pupils’ level of anxiety in speaking English. This research is quantitative in nature, using causal- correlative method. The population of the research was all pupils in the seventh grade of SMA N 1 Pulau Morotai. The total number of population was 140 pupils but 105 pupils were selected to participate as the sample of this research. In choosing the sample, the researchers applied Krejchie- Morgan’s table with 5% error rate. In terms of data analysis, the researchers took two instrument tests; namely personality test and level of anxiety during English speaking test. To know the personality types of the pupils, the researchers utilized Eysenck Personality Inventory (EPI) test. Questionnaire of Foreign Language Classroom Anxiety Scale (FLCAS), on the other hand, was used to know the students’ level of anxiety. Result of hypothesis testing analysis shows that there was no significant difference in the level of speaking anxiety between the pupils who have introvert and extrovert personality types. The value of sig 0.264 was found to be higher than α = 0.05.
The Role of Self-Regulation in the Development of Psychological Competence in Students of Psychology

The research featured relationship between self-regulation and psychological competence of future specialists. The study involved an analysis of theoretical approaches to this problem in domestic and foreign psychology. Psychological competence presupposes developed psychological knowledge and communicative abilities and skills, as well as a stable system of self-regulation that allows for effective management of one's behavior during professional interaction. The author established the features of psychological and communicative competences in students, as well as such regulatory qualities as self-regulation, self-control, and self-efficacy. The research revealed statistically significant relationships between the level of development of psychological and communicative competences and the characteristics of regulatory qualities. A cluster analysis showed three groups of students with different levels of communicative competence and regulatory qualities. The regulatory and communicative components of psychological competence appeared closely interrelated. Self-regulation, self-control, self-efficacy, and communicative skills of future psychologists were the instrumental basis for the development of psychological competence. A well-developed self-regulation helped students understand and control their behavioral reactions. It enabled them to carry out conscious and focused interaction with people in problematic professional situations, as well as contributed to the development of psychological competence during vocational training.
A Design Pattern Detection Method Based on Similarity Scoring

Detecting design pattern instances in UML models by using software tools can help software developers to understand，maintain and reconstruct the large-scale software projects. Most of the existing methods for automatic design pattern detection let the several considered features match separately，so that the accuracy rate and time performance are not high enough. Therefore，a design pattern detection method based on similarity scoring was proposed. First，the basic process of this method was given; then，a representation of system and patterns based on directed graph/matrix was proposed; the pattern instance search algorithm based on similarity scoring was discussed in detail; finally，a supporting tool for this method was implemented，and design patterns in an open source project were detected by using this tool. This method does not let the several considered features match separately，but uses the integral feature matrixes to match. The experimental results show that，compared with the design pattern detection methods which let the several considered features match separately，the detection accuracy rate and time performance of this method are higher. Keywords:  design pattern detection,  accuracy,  time performance,  directed graph,  software re-engineering
Involving Students into Project and Heuristic Work (On the Example of «Pedagogical Design»)

The article justifies the model for involving students in project and heuristic work, which includes the target (social order of the higher education system for training a competent university graduate and based on an understanding of heuristic project work as a special type of activity of future Bachelors of Pedagogy); content (invariant and variable content); technological (forms of organization, methods, teaching aids), diagnostic and effective components (programs: diagnostics, adjustments, evaluations). It was determined that the project and heuristic work will contribute to a more qualitative vocational training of Bachelors of Pedagogy since highly qualified teachers mastering this technique can give an innovative impetus to the development of an educational organization, develop and introduce modern educational technologies, contribute to the development of an innovative educational environment, provide high quality training of personnel, mid-level specialists, as well as graduates of universities.
End-to-End Resilience for HPC Applications.

A plethora of resilience techniques have been investigated to protect application kernels. If, however, such techniques are combined and they interact across kernels, new vulnerability windows are created. This work contributes the idea of end-to-end resilience by protecting windows of vulnerability between kernels guarded by different resilience techniques. It introduces the live vulnerability factor (LVF), a new metric that quantifies any lack of end-to-end protection for a given data structure. The work further promotes end-to-end application protection across kernels via a pragma-based specification for diverse resilience schemes with minimal programming effort. This lifts the data protection burden from application programmers allowing them to focus solely on algorithms and performance while resilience is specified and subsequently embedded into the code through the compiler/library and supported by the runtime system. In experiments with case studies and benchmarks, end-to-end resilience has an overhead over kernel-specific resilience of less than \(3\%\) on average and increases protection against bit flips by a factor of three to four.
Analyzing Various Techniques to Safeguard user Sensitive Data

There are several different ways to connect people in and around the world.One such way is the use of internet and interactive communication tools (ICT) such as smart phone, tablet, electronic devices and voice assistant.Each and every second large volume and variety of data will be generated by these devices.This kind of large volume with varying speed and variety of data is called big data.Analyzing and identifying the intelligent pattern from this data is called big data analytics.Several different data analytical methods are used to classify and identify the hidden patterns from the raw data.Data is scattered in different systems in different places.Hadoop is the open source platform for processing such distributed data.Hadoop uses the HDFS and map reduce to do distributed computation in secured way.Even though hadoop and map reduce will impose securityin its own way, the data collected and processed need more secured methods to prevent the data leakage.There are several different methods, tools and techniques available to impose the security and prevent the privacy of any user's identity.This paper will provide the overall view about the challenges faced during the data storage, data generation and processing in distributed and cloud environment.This paper is divided into 4 sections.Introduction part of map reduce, related works and challenges and vulnerability of data security are discussed in first and second sections.Different techniques used to impose the security is analyzed in the third section and fourth section is the conclusion part.
Proving Authenticity and Integrity of Digital Images using Image Forensics

As JPEG is widespread de facto image format, Most of the images available in computer systems, electronic devices and in the Web are in JPEG format hence forgery detection techniques in JPEG may explore most of the forgeries. Digital images have a very significant role in various fields like medical imaging, journalism, criminal and forensic investigations. But the easy availability of photo editing software and tools has made the process of verifying the authenticity and integrity of digital images extremely difficult. It is a common practice followed by forger to hide traces of resampling & splicing. However the tampered region usually has a different JPEG compression history than the authentic region. It identifies forgery by searching ghost which appears in resultant difference image after subtracting it from its various recompressed version at different quality levels. As number of difference images become very large it becomes difficult for human being to scan these large no of difference image. If these images were originally of different JPEG compression quality, then the digital composite may contain a trace of the original compression qualities. Technique describes way to detect whether the part of an image was initially compressed at a lower quality than the rest of the image.