Reviewerly/exHarmony huggingface dataset:
What Are They Talking about? Relation Extraction from News to Identify Research Directions in Emerging Technologies

Emerging technologies are characterized by their uncertainty, rapid evolution, and major impact.We focus on identifying research directions in these technologies.Identifying these research directions requires keeping in pace with the development of the technologies, and reaching out to individuals and society, beyond organizations.This is made possible by big data analytics.This paper uses design science research to propose and apply a methodology that performs text mining on news crawled from the Internet to identify research directions for an emerging technology.The methodology uses relation extraction on the news documents to extract relations between terms of the emerging technology and information systems constructs.These relations are then analyzed to suggest research avenues.We apply the methodology to blockchain, a major emerging technology, and derive insights from this application.
ІНТЕНСИФІКАЦІЯ ТРУДОВОГО НАВЧАННЯ В УМОВАХ ОБМЕЖЕНОГО ЧАСУ ЗАСОБАМИ ЗНАКОВО-СИМВОЛІЧНИХ СТРУКТУР ТА УКРУПНЕННЯМ НАВЧАЛЬНОЇ ІНФОРМАЦІЇ

The article considers pedagogical technologies of intensification of labor training by means of integration of its content with the help of sign-symbolic structures and use of enlarged didactic units in order to significantly increase the mastery of educational material while significantly reducing the workload for students in labor training lessons. Defining the effective use of time as the main criterion for the effectiveness of the lesson, means are proposed to increase the productivity of learning in a limited time to study the topics and sections of the curriculum. Reserves for improving the effectiveness of the lesson of labor training are seen not in the extensive increase in time to study certain topics and sections of the curriculum, but in the rationalization of cognitive activity of students, innovative optimization of the educational process. Scientific research is aimed at solving the problem of intensification of learning in a limited time by means of sign-symbolic structures and the consolidation of educational information. The ideographic (figurative-symbolic) basis of sign-symbolic structures is analyzed, which consists in the possibility of expressing the whole concept by means of a conditional image or drawing. Sign-symbolic visual systems are created by encoding verbally presented information. During training, the reverse process is also widely used - decoding or deployment of information given symbolically. The idea of ​​teaching educational material in large blocks allows you to significantly increase the amount of learning while significantly reducing the load on the student, when one lesson can be studied material of several lessons. Depending on the level of academic achievement of each individual student, educational material can be presented to students in a broader or narrower, in-depth or review versions. The main feature of lessons of labor training with the use of enlarged didactic units is the consolidation and application of new knowledge and skills in practice in the same lesson, where these knowledge and skills were first formed. During the lessons the main attention is paid to the analysis of condensed information, teaching students the ability to expand and collapse information that contains the studied educational material.
All-Russian Scientific-Practical Conference “Ex-libris as an Information Resource for Studying Book Culture”

Announcement
The Role and Role of Social Society Principles in Society

The article analyzes the place and role of the principles of social cohesion in the life of the society specific to the social sphere. In this case, a comparative analysis of the scientific and practical experience of developed countries. It was stated that social solidarity is a sociological interpretation of interests, goals, interests and mutual understanding, and the problem of ensuring the stability of human rights and freedoms was put forward.
PEER VICTIMIZATION IN JAY ASHER’S THIRTEEN REASONS WHY

Peer victimization is a common issue in literary works. This study is conducted in qualitative approach of analysis of peer victimization and how it impacted the main character through the narratives in the Thirteen Reasons Why novel. The goal of the study is to analyze how Peer Victimization impacted the main character, Hannah Baker which is described using the theory of Peer Victimization by Finkelhor (2012) and the interpersonal theory of suicide by Joiner (2005). The result of this study shows that Hannah Baker is the victim who experienced all kinds of violent behavior caused by her peers including physical violence, sexual victimization, and psychological/emotional victimization. This study also shows suicide is one of the impacts of Peer Victimization that happens in the novel resulted from the thwarted belonging and perceived burdensome that the main character felt which produce the desire for ending her life. The effects of peer victimization vary on different cases and suicide is one of the prevalent solutions chosen by the character that depicted in literary works.
SOME EXPERIMENTS ON THE CONSTRUCTION AND ANALYSIS OF THE DE BRUIJN GRAPH

This paper describes the experience of solving the problem of finding chains in the De Bruijn graph using parallel computations and distributed data storage.
ABOUT THE SOFT SKILLS OF SPECIALISTS IN THE CULTURAL AND CREATIVE INDUSTRIES

The topic of soft skills of modern specialists is especially important and relevant, because they make up 85% of all human skills and they are particularly key in today's networked society based on communication and technology. The purpose of this report is to study the concept of soft skills and to select the factors common to all professionals, determining the characteristics of soft skills of professionals in the field of cultural and creative industries. The following research tasks are determined by the set goal: 1) to perform a literary review of well-known publications on the subject; 2) to make a content analysis of some useful models; 3) to analyze a new concept of education and training based on improving quality and efficiency, incl. and through social and cultural cohesion; 4) to clarify the phenomenon of “double reflexivity”, which allows an informed and proactive attitude to the social and professional world through personal choices. The research uses the methods of bibliographic search and content analysis of literature sources, concepts and documents; hypothesis verification; system analysis and decomposition of system connections and others. Based on the study, it can be hypothesized that the recognition of the characteristics of different generations of individuals and organizational systems, as well as the constant cultivation of soft skills through training and motivation, can create good and competitive professionals in any field and especially in the field of information, cultural and creative industries – for work in physical and digital environment. All set tasks have been completed and the main points of reference in the report have been discussed. The conclusion summarizes the results achieved and outlines priorities. The study was verified with a bibliography. The study was verified with a bibliographic references list. The publication was supported by the Bulgarian National Science Fund of the Ministry of Education and Science in Bulgaria, within the project “Communication Model for an Interactive Educational Environment for Continuous and Postgraduate Professional and Continuing Education in the Field of Cultural and Creative Industries” under contract № DN05/1, 14.12.2016, headed by Assoc. Prof. Dr. Rumelina Vasileva.
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks

In high-dimensional state spaces, the usefulness of Reinforcement Learning (RL) is limited by the problem of exploration. This issue has been addressed using potential-based reward shaping (PB-RS) previously. In the present work, we introduce Final-Volume-Preserving Reward Shaping (FV-RS). FV-RS relaxes the strict optimality guarantees of PB-RS to a guarantee of preserved long-term behavior. Being less restrictive, FV-RS allows for reward shaping functions that are even better suited for improving the sample efficiency of RL algorithms. In particular, we consider settings in which the agent has access to an approximate plan. Here, we use examples of simulated robotic manipulation tasks to demonstrate that plan-based FV-RS can indeed significantly improve the sample efficiency of RL over plan-based PB-RS.
어휘 교육과정에 대한 이론적·실제적 도전과 개발 방향

This paper has examined the possibilities and limitations of vocabulary curriculum for improving disciplinary literacy, focusing on how they can be realized in the curriculum. Representative vocabulary items for improving disciplinary literacy can be seen as academic vocabulary and technical vocabulary. And suggesting a vocabulary list or vocabulary group by grade group or school (elementary/secondary/high school, etc.) is asked. For example, Emotional vocabulary can be handled in the 3 grade, and logical relation vocabulary in the 6 grade. In order to present educational content in this manner, more practical further discussions for concrete practice must follow.However, before further discussion, this aspect is somewhat controversial, and consensus itself is not easy. This is because various disagreements may exist. Therefore, a more full-fledged theoretical and practical discussion about it must be accomplished, forming a consensus about the necessity and exploring the possibility. The discussion in this paper can be evaluated as part of that.
An Ontology Approach to Manage Land Use Planning Knowledge in Iran

Land-use planning knowledge in Iran includes a large body of data and information that necessitates efficient managing methods. Through definition of knowledge in land use planning studies of each sector, data exchange and sharing of information become easier and more useful. In recent years, ontological structuring of the terms related to a specific domain of knowledge and the relationships among them has developed greatly. The use of ontology approach facilitates exchange of information and understanding of the concepts and the relationships among users in different areas of knowledge. In this paper, using the software Protege, the relationships were defined among land use information via the Web Ontology Language (WOL). Due to the vast extent of data gathered in land use planning studies in different fields, this study is limited to the environmental sector. The main purpose of this paper is to provide a model for managing land use planning knowledge based on ontology, and create a framework of concepts and different relationships in this field. In doing this, the hope is to share data and knowledge among specialists and organizations involved and increase the efficiency of these studies in Iran. As we know, the land use planning for the 31 provinces of Iran is becoming completed where each province has used its hard and software to handle and disseminate data and information produced during the process. Using the ontology concept introduced in the paper can help unify these measures and prevent reinventing the wheel as much as possible.
How do employees learn security behavior? Examining the influence of individual cultural values and social learning on ISP compliance behavior.

Recent research on information security has recognized that cultural differences need to be considered, when explaining information security policy compliance behavior (ISPCB). There is also evidence that social mechanisms, such as social learning can influence ISPCB. What existing research has neglected is a relationship between such social mechanisms and their relation to employee's individual cultural values to explain ISPCB, whereby current research shows that ISPCB as well as social learning are culture-dependent. This study examines (1) the impact of social learning on ISPCB and (2) the influence of cultural values on social learning mechanisms and their association with ISPCB.Our sample, consisting of employees related to information systems, confirm a connection between the mechanisms of SLT and ISPCB and their cultural dependence.In conclusion, we defined implication points of our theoretical research and practical recommendations.A description of future research suggestions concludes this paper.
Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Pada Transaksi Penjualan Pada PT Madu Kembang Joyo

In the sale of goods (products), companies often experience problems because of the irregular level of consumer spending. Determination of product layout is done to make it easier for consumers to find honey products so as not to disappoint consumers in finding the location of which products are suitable to be combined with other products that are often in demand by consumers, so that consumers can save time. Based on the problems faced by the company, data mining analysis tools are needed. Currently, the utilization of data that is owned is not fully maximized, it is limited to making reports. The problem of research is the accumulation of unused transaction data, the difficulty of placing products according to consumer needs. The absence of an effective product sales strategy. The application is built using the PHP programming language with the MySQL database. The data used for shopping cart analysis on the sales transaction of Joyo Flower Honey is 1 month transaction data. The combination of items with the highest support x confidence value will be used as a combination to determine the placement of the suitable item to be connected between the two products that consumers are most interested in. In addition, the combination of these items can be used by management to position the product on the shelf which will make it easier for consumers to find the product they need.
Pragmatically enriched linguovisual unit internet meme “family” in polymodal discourse

Pragmatically enriched linguovisual unit internet meme "family" in polymodal discourse]The linguovisual unit internet meme is considered in detail as a particular kind of polymodal discourse.Special attention is given to linguovisual unit internet meme, which is introduced as a picture and a caption, as a complex phenomenon of vicarious communication.The main types of relations in verbal and visual components of studying category in polymodal discourse are described.Polymodal discourse is represented as a process dealing with the modal concept to the transmitting process consisting of verbal and nonverbal channels, which take place in internet meme.The linguovisual unit internet meme possesses such components as entirety and complement and composes not only the information itself, but also the attitude to it.The representing components mechanisms of cooperation are analyzed.The pragmatically peculiarities of internet meme are discovered, which are verbalized with the help of the "family" cluster.The statistic analysis is represented.The results of the analysis show the internet meme pragmatic content percentage.
Performance evaluation of lightweight Crypto functions for Internet of things applications

Currently, the Internet of Things (IOT) and 5G technologies have gain huge popularity. The possibility for an object to communicate with others and to collect information about the environment enables a broad range of application markets. One of the main challenges in the IOT system is in the security and privacy of the generated data. The major issue in the design of a security system in IOT is in the device layer. This is due to the fact that the device layer consists of resource-constrained devices. The conventional cryptography methods, such for Advanced Encryption Standard (AES), Secure Hash Algorithm (SHA) and Rivest–Shamir–Adleman, (RSA), work well on systems which have reasonable processing power and memory capabilities. However, they do not work well with embedded systems and sensor networks. Thus lightweight cryptography methods are important. The lightweight (LW) crypto functions are designed for resource constrained devices with fixed block size and fixed permutation-based hash functions. The main LW crypto functions are Photon, Quark (QK), Spongent and Lesamnta. This paper compares between various LW crypto functions in terms of their power consumption, design, complexity and memory usage. In addition, the paper highlights the need for a new one-way hash function which supports variable transformation and variable block length size to suit several applications.
Seismic Soundoff

Lucy MacGregor highlights her 2021 Distinguished Lecture, “Multiphysics analysis: Extracting the most from diverse data sets.” She discusses how combining data sets can compensate for weaknesses in each, how utilizing gravity data improves the seismic image, the biggest obstacle in utilizing data sets, and more. Hear the full episode at https://seg.org/podcast/post/11276 .
Зигмунд Фрейд и психоанализ в свете соционики

Based on biographical data, memoirs and documents, an analysis of the psychological portrait of the founder of psychoanalysis, Sigmund Freud, is carried out. It is shown that his socionic type is the ethical-sensory introvert (RF, ESI). It is discussed what psychoanalysis and its practice would be if it were created by a person of a different type. The status of psychoanalysis and aspects of experimental confirmation of its provisions in modern science are considered.
Chroma Component Generation of Gray Images Using Multi-Scale Convolutional Neural Network

In this paper, we solved the problem of the colorization algorithms using convolutional neural networks. There are existing algorithms predicting chroma components to generate colorization images, but the color of generated images is usually dim and the saturation of them is poor. Thus, we proposed to solve the colorization problem by a pyramid-alike multi-scale convolutional neural networks and convert the color space of image from RGB to HSV to predict the chroma components. Experiments indicate our algorithm can produce colorized images with more accurate color and higher saturation than the existing work.
Detection of Cloned Recognizers: A Defending Method against Recognizer Cloning Attack

With the development of machine learning technologies and the spread of mobile terminals, cloud-based image recognition services are getting popular in recent years. However, these services might suffer from a new type of attack called “recognizer cloning attack” (RCA), in which an attacker sends a lot of images to a recognition server and receives their recognition results to train a new recognizer that mimics the function of the server’s original recognizer. We refer to the recognizers trained by RCA as “cloned recognizers” (CR). CRs allow attackers to analyze the weakness of their original recognizer and cause serious damage to the providers of the original service. To defend against RCA, we propose a method for detecting CRs in this paper. Our proposed method receives two recognizers as input and discriminates whether one of them is a CR of the other or not. We experimentally analyzed the properties of CRs and got the following two findings. First, CR and its original recognizer have the almost same recognition boundary. Second, CR provides a recognition confidence score that is almost same or quite higher than that provided by the original recognizer. Using these properties as clues, the proposed method was able to detect CRs with an accuracy of more than 80% in our experiments.
증거성 문장종결어미의 청자 인식 탐구: 서울방언 사용자와 연변방언 사용자 비교

Korean uses grammatical markers to express evidentiality which refers to the source of information of an event indicating whether speakers directly witness the event, indirectly infer the source from general knowledge or perceptual cues, or are told about the event. Many studies have explored linguistic systems for Korean evidential types. However, little has been investigated about how well speakers’ intention on expressing the source of information has delivered to listeners. In this study, we attempted to quantify the degree of listeners’ perceptual sensitivity on speakers’ linguistic cues representing whether speakers witness expressed events. Manipulating eight sentence-ending markers (i.e., -e, -ta, -ci, -canha, -ney, -te-, -kwuna, -tay) of event statements, we asked Seoul and Yanbian dialect users to rate the likelihood of speakers’ witnessing expressed events from 1 (least likely) to 5 (most likely). Our results showed that event statements ended with -e marker were scored the highest rates (speakers were highly likely to witness the events), whereas event statements ended with -tay marker were scored the lowest rates (speakers were least likely to witness the events). We discuss that the source of information cued by grammatical markers is not always perceived to listeners in a way that the marker grammar defines.
Research Guides: Data Analysis Tools: Python

covering data analysis tools that Research Data Services (RDS) at Columbia University Libraries supports
Advice for Boards of Directors

The previous chapter laid the groundwork for the habits that one needs to employ to achieve security. In the next two chapters, we are now going to focus on advice for board-level leadership on how to achieve a better state of cybersecurity. In this chapter, we will focus on advice for boards of directors and the types of questions to ask. The following chapter focuses on advice for technology and security professionals that present to boards on the topic of cybersecurity. We encourage both boards and technology/security professionals to read both these chapters so that they know what they should expect of each other.
Revisión teórica de la educación en la modalidad virtual

Society is changing and education must be at the forefront of this change, the challenges facing the educational field today worldwide make us reflect on the challenges in virtual education to achieve sustainable educational quality. The purpose of this article is to approach the variables of continuous improvement processes in educational institutions and digital skills in teachers; Therefore, an analysis of these two essential aspects in education is carried out in a virtual way. It is necessary to review the national, regional and local educational policies regarding their compliance, effectiveness and sustainability; Likewise, teacher self-training is essential to improve these skills, which is based on a positive attitude of reinventing oneself in times of crisis.