Reviewerly/exHarmony huggingface dataset:
Cybersafety Threats - from Deception to Aggression (Dagstuhl Seminar 19302)

A number of malicious activities, such as cyberbullying, disinformation, and phishing, are becoming increasingly serious, affecting the wellbeing of Internet users both financially and psychologically.These malicious activities are inherently socio-technical, and therefore effective countermeasures against them must draw not only from engineering and computer science, but also from other disciplines.To discuss these topics and find appropriate countermeasures, we assembled a group of researchers from a number of disciplines such as computer science, criminology, crime science, psychology, and education.Through five days of brainstorming and discussion, the participants developed a roadmap for future research on these topics, along four directions: modelling the attackers, measuring human behavior, detection and prevention approaches for online threats to adolescents, and understanding unintended consequences of mitigation techniques.
Study on Association Factors Causing Lung Cancer Based on Apriori Algorithm

In recent years, morbidity of lung cancer has been constantly rising worldwide, particularly in China. The paper, taking relevant data of 2000 patients of lung cancer as research subjects, preprocesses original data, then, studies frequent item set and association rules of Apriori algorithm, on which relevant factors causing lung cancer is analyzed. According to experiment results, the association factors proposed by the algorithm in this paper has feasibility and effectiveness in some degree.
A Study on Improved Outlier Detection and Prediction Based on Hybrid Machine Learning

Data collection and preprocessing are important processes for training prediction models. If researcher cannot find outliers of wrongly collected, the noise data will be learned in the prediction model learning as well. Therefore, it can be considered that the removal of the outliers is essential for preprocessing process in order to learn prediction model more accurately. In this paper, proposing hybrid machine learning for outlier detection and prediction by applying two algorithms. Two medical data were selected for the experiment, and the information gain was calculated before applying the DBSCAN, and two attributes with the highest relevance to the label value were extracted. DBSCAN parameters were selected based on extracted attributes. First, in the outlier detection process, in this paper, experiment was implemented with the proposed algorithm using the characteristics of DBSCAN, which is a density-based algorithm, and preprocessed the learning data three times. Second, the preprocessed data was evaluated by Neural Network and Boosted Decision Tree. Experimental results show that model accuracy of preprocessed data is similar or better than model accuracy of raw data. Applying the hybrid model proposed in this paper, it is expected higher accuracy and generalization of outliers and frequent medical data.
Towards Universal Languages for Tractable Ontology Mediated Query Answering

An ontology language for ontology mediated query answering (OMQA-language) is universal for a family of OMQA-languages if it is the most expressive one among this family. In this paper, we focus on three families of tractable OMQA-languages, including first-order rewritable languages and languages whose data complexity of the query answering is in AC0 or PTIME. On the negative side, we prove that there is, in general, no universal language for each of these families of languages. On the positive side, we propose a novel property, the locality, to approximate the first-order rewritability, and show that there exists a language of disjunctive embedded dependencies that is universal for the family of OMQA-languages with locality. All of these results apply to OMQA with query languages such as conjunctive queries, unions of conjunctive queries and acyclic conjunctive queries.
The Role of Forensics in Criminal Investigations

We intend to discuss in this paper about forensics and the role it has it in for discovery, investigation of criminal offenses and to identify persons involved in committing them based on other sciences such as physics, biology, chemistry, mathematics. The basic ideas which we will discuss are the first steps taken in the investigation of homicide, peculiarities research on site in case of murder, the peculiarities of the research killing depending on means and methods used by the perpetrator to suppress the victim's life, activities for investigation of murder, development version prosecution valuations type personality profiling the offender and carry out criminal prosecution.
Enhancing the Ability in Writing Narrative Text of Junior High School through Picture Series

The objective of this study is to find out whether the use of picture series significantly improves the achievement on writing narrative text of the eighth grade students of Junior High School. The subject of this study is the eighth grade students of SMP Negeri 76 Jakarta. The sample of this study is the students VIII-4 consisting 30 students. The method of this research is descriptive qualitative method.. The technique for collecting the qualitative data was gathered through students’ writing text and observation sheet. Qualitative data showed that the students were interested in using pictures as the learning media in writing narrative text. From the findings can be seen that student’s narrative writing is found improved through picture series. Students’ responses toward the use of picture series activity in EFL writing classroom were mostly positive. It can be concluded that picture series was an interesting alternative. Under certain condition, it was said more intensive than other approach and this gives them chances to be aware on their mistakes in writing. Overall, the students’ revised version drafts are more developed. As suggested by researchers and teachers, picture series should be implemented thoroughly, carefully, and well-planned.
Teaching Conditional Sentence Using Presentation, Practice, Production (PPP) Technique in Vocational School

Learning and understanding conditional sentence for the students are something difficult because it needs carefulness and seriousness. Conditional sentence not only consists of rule to be memorized by students but also consists of meaning that should be understood by students so that many of them feel confused to memorize and understand the rule of conditional sentence. Looking at those problems, the writer chooses PPP technique to overcome those problems. Presentation, Practice, Production (PPP) is one of the techniques that can be used by the teacher to teach conditional sentence because looking at the characteristics of PPP, the writer thinks that PPP technique can overcome those problems.&#x0D; The aims of this study are to describe how to teach conditional sentence using presentation, practice, and production (PPP) and to find out advantages and disadvantages teaching conditional sentence using PPP technique. In writing this paper, the writer uses library research in which the writer collects many sources from books and internet to support the discussion.&#x0D; The result shows that the implementation of teaching conditional sentence using PPP technique is done based on three steps, they are pre teaching, while teaching, and post teaching. The advantages of teaching conditional sentence using PPP technique are (1) Students can develop their own ability in learning conditional sentence, (2) This technique can make students interested in learning process because they are given by the teacher chances to explore their ability(3) The students’ understanding about the material is extensive because they are stimulated to find out or to make sentences, (4) The teacher can modify the learning process by looking at the students’ condition and the difficulties of the material, (5) The PPP approach is relatively straight forward, and structured enough to be easily understood by both students and new or emerging teachers.&#x0D;
4K-DRM Server Protocol Packet Capture and Analysis

In order to cooperate with the formulation of the "People's Republic of China Radio and Television Industry Standards-- Technical specification of digital rights management for video audio content distribution", a fusion media copyright protection product and system test evaluation platform supporting domestic passwords was constructed, and the end-to-end multimedia copyright protection system was implemented. Test evaluation requires compatibility testing of the DRM (Digital Rights Management) system. This paper captures and filters the HTTP protocol packets in the 4K-DRM system, and then analyzes the compliance of the HTTP packet protocol such as key synchronization, key query, and content authorization to determine whether the system passes the compatibility test.
Pedagogical Practice as Way to Find out Pedagogical Barriers

There is a problem of finding out the cognitive barriers during the pedagogical practice (teaching practice) among students of training college in the article. We made an analysis of the definition “pedagogical barriers” among Russian and foreign researchers. The author’s definition of this notion is given. The importance of early finding out pedagogical barriers and working out the ways of preventive measures are presented. The methods and approaches used during the experiment are described. The results of the research on finding out pedagogical barriers are given.
Running an Efficient and Effective Big Band Soundcheck

Achieving a clear and comfortable sonic environment for performers and audience alike is key to an effective big band performance. The soundcheck must address specific issues critical to the success of the concert. This article provides recommendations regarding mic placement, bass EQ, line checking, line balancing, and house and monitor sound and includes an annotated stage plot.
Digital technology is an indispensable tool for modern scientific research

The article discusses the concepts of reliability of a data source and provides examples of ways to differentiate scientific sources and similar from the rest. The genesis of integration processes in the context of modern digital technologies in the field of scientific research is investigated. The main stages of the development of scientific knowledge are highlighted and its evolution is traced up to the appearance of the global Internet. Changes in approaches to modern research that were caused by the globalization processes of combining information are considered. The modern phenomenon of the creation of interactive databases is analyzed in the context of the noosphere theory of the Ukrainian researcher and cultural figure V.I. Vernadsky and the philosophical concept of the network paradigm of the British-American anthropologist and cybernetics G. Bateson, in whose works the mechanics of the culture of interaction in digital space are examined in detail. Examples of the use of information and communication technologies to study the signs of authenticity of Sevres porcelain manufactory products from the mid-18th to early 19th centuries are given. The ways of applying modern digital technologies in the course of scientific research are clarified.
Socio-Pedagogical Technologies of Patriotic Education of Senior Pupils of Institution of General Secondary Education in the Present Conditions

The article describes the concept of «patriotism» as a moral principle, social and moral quality; components of patriotism (cognitive, motivational, emotional, creative) are presented; the characteristic of patriotic education as a system that includes external ones (state, public associations, social educational institutions: family, school, etc.) is given and internal (cultural and historical values) factors. The initial concept of the socio-pedagogical technology of patriotic education of high school students in the institution of general secondary education is provided, the stages of its development (theoretical, methodical, procedural) and structure (diagnostics of problem, goal-setting, choice of tools, evaluation of the results of activity) are defined. It is proved that the most effective methods of patriotic education are active methods aimed at independent search for the truth and contribute to the formation of critical thinking, initiative and creativity (situational role games, sociodrama, method of an open tribune, socio-psychological trainings, intellectual auctions, «brain attacks», democratic dialogue, methods of collective creative work, persuasion, information and evidence method, search method, discussion, method of analyzing social situations of a moral and ethical nature).
Mapas mentales y aprendizaje móvil para la dirección del trabajo independiente en Morfofisiología

Introduction: in these times, learning and teaching implies adopting non-traditional models and promoting ways to access to knowledge, in which the development of mobile learning devices lead to the appearance of new models and methodologies for the presentation of learning contents. Objective: to show how the creation of mental maps in digital format allow students to synthesize, organize and graphically present support information for self-preparation during the implementation of independent work, as well as significant learning. Development: the results correspond to a descriptive, longitudinal and prospective research and to the preliminary application of a strategy responding to the improvement of the management of independent work in the subject morphology-physiology in Dentistry Studies at Pinar del Rio University of Medical Sciences, which was made considering the possibilities that as a learning resource offers the application for Android, Mindomo, version 3.0.15 aimed at creating schemes and mental maps, which allowed to represent the contents of the subject free of the linear organization offered by the textbooks or materials that are part of the literature. Conclusions: the schemes and mental maps created by means of mobile learning devices, allowed to synthesize, organize and graphically present to the students the support information for their self-preparation during the management of the independent work; it favored the integration of the contents of morphology and physiology, emphasizing its invariants, as well as to the significant and collaborative learning to solve the teaching tasks.
Initial Coin Offerings: Financial Innovation or Scam

In light of the development of cryptocurrencies and their growth in popularity with investors, a new funding model has emerged in the form of the Initial Coin Offering (ICO). Taking the place of an Initial Product Offering (IPO) an ICO allows investors to purchase newly created ‘coins’ from a business, rather than the traditional method of purchasing shares. Computer based crime is prevalent worldwide in the modern age, and this investment vehicle appears to provide yet more options for criminals seeking to dupe individuals out of their money. The growth of ICOs raises a number of questions; what are the rights of the investors? Are the coins redeemable? What is the attraction for the investors? Most importantly, how is the sector regulated? This paper will identify and analyse ICOs, considering them from 4 perspectives; the businesses offering the coins, the investors, the regulators (in this case the Financial Conduct Authority), and the potential criminal. Recommendations will be made on how market participants and regulators should react to ICOs. The paper will draw conclusions on the integrity of ICOs, whether they are a financial innovation or pyramid schemes that have been taken to a new dimension.
Enhance Student Learning Motivation through Literature in English Teaching

This paper proposes that literature should be used as a means to improve students’ motivation in learning English instead of as an end for literature appreciation class only. The benefits of using literature in English teaching are discussed and some strategies of using literature in classroom teaching are presented. The requirements of teachers in utilizing literature in class are also expounded.
Semi-Supervised Approach Using Nearest Neighbors Clustering and Deep Learning

The field of Deep Learning is in constant evolution, with new techniques and applications being developed by the day.Of those techniques, semi-supervised deep learning have promising results, especially in combination with the standard Convolutional Neural Network (CNN) architectures.CNNs attain state-of-the-art performance on various classification tasks assuming a sufficiently large number of labeled training examples.Unfortunately, labeling sufficiently large training data sets requires human involvement, which is expensive and time consuming.In semi-supervised learning there is not only a set of labeled samples (L), but also a set of unlabeled samples (U ), which is generally greater than the first (U > L).This paper presents a semi-supervised model using a CNN supported by a Multilayer Perceprton (MLP) network, and a clustering process by k Nearest Labeled Neighbors.The results showed that the proposed model solves the semi-supervised learning problem over different scenarios.
Intruder Model for Generating Attack Scenarios in Computer Systems

In this paper, a new technique for automatic generation of complex intruder attacks is proposed. In this approach, the generation of attack scenarios is guided by an intruder strategy. Thus, only attack scenarios achieving the intruder objectives are generated. Therefore, the generated attack graph do not contain redundant nodes or edges, and enables a network administrator to have a better visualisation and apprehension of different attack scenarios for a computer network. In this way, our approach is made as a candidate for increasing accuracy of the attack graph generated based on the use of the intruder strategy.
Productive Game Technology as a Means of Pupils’ Social Competence Formation

The article considers productive game technology as a pedagogical means focused on a product independently created by a pupil. The modern teacher is faced with the task of comprehensive skills development of children of a certain age group and ensuring the ability to socialize in modern society. It is productive game technology that acts as a reference point for the strategy and tactics of pedagogical activity in the formation of social competence in children of early and preschool age. The purpose of the article is to consider principles which play important role in the formation of preschoolers’ social competence. Material and methods. The methodological base of the study is the work of domestic and foreign scientists and methodologists on the problem of the social competence formation of children of early and preschool age. The system of education and teaching in preschool educational institutions was applied as the material for the study. The object of the study is the process of pupils’ social competence formation by means of productive game technology. During the study the following methods were applied: the method of pedagogical observation, modeling. It is concluded that applying productive game technology, positive changes in children’s social development and their social competence formation can be noticed.
Reinforcement Learning: Past, Present, and Future Perspectives

Reinforcement learning (RL) is a systematic approach to learning and decision making. Developed and studied for decades, recent combinations of RL with modern deep learning have led to impressive demonstrations of the capabilities of today’s RL systems, and have fueled an explosion of interest and research activity. Join this tutorial to learn about the foundations of RL – elegant ideas that give rise to agents that can learn extremely complex behaviors in a wide range of settings. Broadening out, I give a (subjective) overview of where we currently are in terms of what’s possible. I conclude with an outlook on key opportunities – both for future research and for real-world applications of RL.
Performance Evaluation of Ensemble Learning Methods for Facial Expression Recognition

Recognition of facial expressions is used in a wide range of areas such as health, law, entertainment and education and plays an important role in transferring people's feelings. In this study, the performance of ensemble learning methods in facial expression recognition was evaluated. The dataset used in the study which included seven basic emotions (happy, angry, sad, disgust, fear, confusion, and neutral). This data set contains a total of 9296 facial expression images. 120 attributes were extracted from the data set and all of these attributes were used at the classification stage. Bayesian Networks, kNN and Random Forest methods were determined as the main classifiers. Adaboost, Bagging, Random Subspaces and Voting methods were used for the ensemble learning methods. As a result of the experiments carried out, it was seen that ensemble learning methods increased the success of classification. The most successful result was obtained by Random Subspaces ensemble learning method and Random Forest algorithm (91.11%). In addition, it was found that the methods can be compared by recording the realization times of the experiments.
Quasi-potential field: the simulation of motivation in complex physical structures

As a basic element of organisms, motivation shapes the action pattern. There are abundant biological and social systems that originate from motivations, which have attracted widespread attention. To pave the technical foundation of relevant researches, this paper presents an effective model to simulate the spatial distribution of motivation within complex environments, which is named as the quasi-potential field. Our modelling process includes three steps. First, we suggest an original algorithm for structure reduction, which can preserve all the topological properties of a given environment. Second, we define the quasi-potential value on the reduced structure, which works as the root of the whole field. Third, we extend the field from the root to all the available spaces. Thus, the motivation distribution in the real environment can be finally generated. In our paper, several simulation experiments are carried out to verify the effectiveness of our model, whose results are proved to be promising.
Improving Students' Reading Comprehension of Report Text with KWL Strategy

ABSTRACT&#x0D; This research was carried out to know the effectiveness of implementing KWL strategy to improve students’ reading comprehension of report text and to know whether there is a significant achievement difference between students who were taught with KWL strategy and those who were not. The instrument used was a multiple choice reading comprehension test. Seventy two eleventh graders of SMA Negeri 1 Bae Kudus were selected as the sample. They were divided equally into experimental and control group. The data collection involved pre-test, treatments, and post-test. The result of the implementation of KWL strategy in the experimental group improved the students’ participation, motivation, and interest during teaching and learning process. In addition, the results of pre-test and post-test showed that mean score of the experimental group had a higher increase from 74.58 to 90.97 than the control group (from 72.77 to 87.77). However, the Independent Sample Test showed there was no significant achievement difference between the students who were taught with KWL strategy and those who were not. (1.80) was higher than.&#x0D; Keywords: Quasi-experimental; KWL strategy; reading comprehension; report text