Reviewerly/exHarmony huggingface dataset:
STUDENT ATTITUDES TOWARD THE USE OF CHATBOTS IN CUSTOMER SERVICE

The article addresses an important and current problem related to the use of chatbots in customer service, according to students. The aim of the research was to recognize the attitude of respondents to chatbots in the context of customer service and to determine the development prospects for their use in this area. The research examined the recognizability of chatbots among respondents, the frequency of contact between respondents and chatbots, as well as the impression (feeling) of respondents using chatbots. As a research method, student survey was used. Research has shown that chatbots are still a new tool for respondents, however they have great potential in customer service, as they are user-friendly and are very useful in the area of customer service. Research has shown that the role of chatbots in this area should increase. This can have a good effect on the image of the brand / company.
Overview of Blockchain

Blockchain is a distributed, decentralized, public ledger for securely exchanging digital currency and transaction information.Blockchain was invented in 2008 by satoshi Nakamoto as public ledger for cryptocurrency bitcoin.Blockchain allows the participants to verify the transactions independently.This paper explains the concept of blockchain, characteristics, how blockchain works, and its security mechanisms.It attempts to highlights role of Blockchain in various fields.Key aspects: Improved accuracy by removing human involvement in verification.Cost reductions by eliminating third-party verification Decentralization makes it harder to tamper with.Transactions are secure, private and efficient.Transparent technology.I.
Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach

The objective of unsupervised graph representation learning (GRL) is to learn a low-dimensional space of node embeddings that reflect the structure of a given unlabeled graph.Existing algorithms for this task rely on negative sampling objectives that maximize the similarity in node embeddings at nearby nodes (referred to as "cohesion") by maintaining positive and negative corpus of node pairs.While positive samples are drawn from node pairs that co-occur in short random walks, conventional approaches construct negative corpus by uniformly sampling random pairs, thus ignoring valuable information about structural dissimilarity among distant node pairs (referred to as "separation").In this paper, we present a novel Distance-aware Negative Sampling (DNS) which maximizes the separation of distant node-pairs while maximizing cohesion at nearby node-pairs by setting the negative sampling probability proportional to the pair-wise shortest distances.Our approach can be used in conjunction with any GRL algorithm and we demonstrate the efficacy of our approach over baseline negative sampling methods over downstream node classification tasks on a number of benchmark datasets and GRL algorithms.
Application-Oriented Approach for Detecting Cyberaggression in Social Media

The paper discuses and demonstrates the use of named-entity recognition for automatic hate speech detection. Our approach also addresses the design of models to map storylines and social anchors. They provide valuable background information for the analysis and correct classification of the brief statements used in social media. Furthermore, named-entity recognition can help to tackle the specifics of the language style often used in hate tweets, a style that differs from regular language in deliberate and unintentional misspellings, strange abbreviations and interpunctuations, and the use of symbols. We implemented a prototype for our approach that automatically analyzes tweets along storylines. It operates on a series of bags of words containing names of persons, locations, characteristic words for insults, threats, and phenomena reflected in social anchors. We demonstrate our approach using a collection of German tweets that address the vitally discussed topic “refugees” in Germany.
ANALISIS KESALAHAN BERDASARKAN NEWMAN ERROR ANALYSIS TERHADAP MATERI PELUANG KEJADIAN MAJEMUK DITINJAU DARI GENDER DAN SELF CONFIDENCE PADA SISWA KELAS XII SMK DI BANDUNG BARAT

This study attempts to analyze their students on a compound the occurrence of matter newman. In terms of gender and the level of confidence. The study is done at student of class XII one vocational schools in west Bandung. By taking sample 5 male students and 5 female students.The methods used are qualitative descriptive with an instrument the written test , the survey, and an interview. A written test given 4 to word problems in one because there are two questions. The results, female students more confidence than male students. For female students are experiencing a mistake at the transformation while male students is starting to understand the problems at the mistake.
Correction to “Noise Adaptation Generative Adversarial Network for Medical Image Analysis”

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The estimates of the historical concept and personality of V.O. Klyuchevsky in pre-revolutionary Russian historical journals

The time of troubles»: historiographical
Methods of Composing and Conducting an Interactive Ethnographic Excursion in the Museum of an Educational Institution

The methodological techniques for conducting an interactive ethnographic excursion in the museum of the educational institution are reviewed in the article. It has been hypothesized that the introduction of elements of interactivity and immersivity into the structure of an ethnographic excursion will allow for a stronger and deeper learning of the material of the excursion. In order to confirm the hypothesis, an analysis of theoretical material on the topic of the study was carried out, a modern view of the museum of the educational institution as an object for transmitting cultural experience, as a guardian of historical memory was revealed. Methods. The research was carried out using the following methods: analysis of theoretical material, survey of participants of the museum and pedagogical process in order to identify the most effective methods of functioning of the museum, modeling, involving organization of various formats of activity of the museum of the educational institution, as well as methods of empirical level – observation, description, experiment. The results of the study, given in the work, confirmed that unlike the traditional excursion, which involves passive participation of students, interactive excursions allow to involve students in active interaction with the guide, motivate them to “independent” study and consideration of exhibits of the museum. The survey of participants of the museum and pedagogical process confirmed that emotional immersion in the material of the excursion contributes to its better learning and memorization.
Ažuriranje zapisov v VIAF in priporočila za kakovostnejši prikaz slovenskih normativnih zapisov v VIAF

The article describes the process of updating Slovenian authority records in VIAF, the entry of identifiers into the CONOR.SI database and their display in COBISS+.For most authority records, the updating in VIAF went smoothly, whereas in some records for personal names errors occurred during the process of putting them into clusters, which were then sorted into four groups and compared with the typical entry-related issues described in the VIAF Guidelines.Based on the entry of records in VIAF and the analysis of erroneous links, we compiled general recommendations for creating authority records for personal names in order to avoid errors in the future, which occur in the CONOR.SI authority database during cataloguing.The aim of this article is also to educate cataloguers on the importance of authority control on a global level and to emphasise that their intellectual contribution is not negligible.
An Efficient (n, n) Visual Secret Image Sharing using Random Grids with XOR Recovery

Visual cryptography by name itself suggests cryptography related to images.It is a branch of cryptography that deals with the encryption and decryption of images.Visual cryptography demonstrates a visual secret sharing scheme in which an image has been divided into n shares and original image can be decrypt with these shares without / less computational efforts.This paper proposed an efficient (n, n) visual secret image sharing method using random grids.This scheme gives the complete retrieval of secret image using XOR stacking without the need of a codebook.The Random Grid based Visual Cryptography results no pixel expansion.The proposed method works for 3 n  (shares) for retrieval of original image.Experimental results demonstrate that the proposed method produces better results in terms of simplicity, visual quality and performance.
Cross-Correlation Based Automated Segmentation of Audio Samples.

This paper presents an audio file segmentation method in an attempt to mitigate the issue of variable durations of the same utterance by different individuals, e.g.: Speech-Language Pathologist (SLP) and dyslalic subjects. The Method section describes the manner of determination of the maximum cross-correlation value between the 2 audio files and the subsequent automated segmentation thereof in order to extract 2 valid pronunciation samples of the target consonant. The method is aimed at pre-processing audio files and supplying homogeneously-trimmed audio samples to a computerized SSD Screening system. The results obtained on a batch of 30 pronunciations are presented and briefly discussed in the third section while the last section is reserved for conclusions and perspectives.
Improving The Eighth Grade Students’ Reading Comprehension Achievement by Using Semantic Mapping Technique

English is a foreign language (EFL) for Indonesian students. Therefore, many students still get difficulties to comprehend an English reading text that they read. To overcome the problem, this classroom action research investigated how to improve the students' active participation and their reading comprehension achievement by using Semantic Mapping technique. The research participants were the eighth-grade students at SMPN 8 Jember. Based on the results of the observation and a reading comprehension test, it can be concluded that the implementation of Semantic Mapping technique could improve the eighth-grade students’ achievement in reading comprehension of descriptive text. The research results also showed that the students became more fun and more actively participated both individually and in a group during the teaching and learning process of reading comprehension.
IMPLEMENTING RECIPROCAL TEACHING METHOD IN IMPROVE THE STUDENTS’ READING COMPREHENSION ABILITY

This research was designed to improve the students’ reading comprehension in English through the implementation of Reciprocal Teaching Method. The research employed a collaborative classroom action research design in which the researcher and the collaborative teacher worked together in preparing a suitable procedure of Reciprocal Teaching Method, designing the lesson plan, determining of the criteria of success, implementing the action, observing, and doing reflections. The subjects of this research were 40 students of Grade XI BHS 2 at MA. Nurul Jadid Problolinggo in the academic year 2019/2020. The data of this research were obtained through (1) observation sheet, to obtain information about teacher’s and the students’ activities and performance during the implementation of Reciprocal Teaching Method, (2) quiz, to identify whether the students had made progress in reading comprehension, and (3) questionnaire, to get information from the students whether the strategy applied could motivate the students to actively involve during the teaching and learning process. The result of the research showed that the Reciprocal Teaching Method in the teaching-learning of reading comprehension was effective in improving the students’ reading comprehension. The improvement was indicated by the increase of the students’ average score throughout the cycle of action that was 72.63 in the preliminary study; 79.88 in the test of Cycle 1. Besides, students were motivated and active in the class using the method in terms of learning to work together and to help each other in a group with different competence, which was showed by the result of their works.
AI4Good - The Ethical and Societal Implications of using AI in Scientific Discovery

This year the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) will be running a workshop at the WebSci ’20 Conference in Southampton, UK. Artificial and Augmented Intelligence systems have the potential to make a real difference in the scientific discovery domain however this brings a new wealth of ethical and societal implications to consider with regards to this research (e.g. human enhancement, algorithmic biases, risk of detriment). This workshop looks to explore the ethical and societal issues centered around using intelligent technologies (Artificial Intelligence, Augmented Intelligence, Machine Learning, and in general Semantic Web Knowledge Technologies) to further scientific discovery, with a strong consideration of data ethics and algorithmic accountability. Advances in technology and software are rarely inherently bad in themselves, however that unfortunately does not preclude them from being subverted to ill intent by others; furthermore, as demonstrated by the examples above, even an unintentional lack of care towards ethical codes and algorithmic accountability can lead to societal and ethical implications of scientific discovery. It is our responsibility as researchers to consider these issues in our research; are we conducting studies ethically? What ethical codes can we put in place for scientific discovery research to mitigate against ethical and societal issues. These are really important issues, and they require an interdisciplinary focus between scientists, social scientists and technical experts in order to be comprehensively addressed. AI4Good is a day long workshop including five keynotes, discussion sessions and an interactive activity. The first keynote is from Dr Will McNeill, from the University of Southampton. Will is a lecturer in Philosophy, and he will speak about Ethical Frameworks and Ethical Judgements. The second keynote will be given by Dr Cian O’Donnovan, a Researcher at UCL. Cian’s research is based on understanding how the benefits of emerging technologies can best contribute to a flourishing world. Cian’s talk will be on AI Ethics from the Ground Up: Cultivating Capabilities for Care. The third keynote will be given by Jacqui Ayling, a PhD Student at the University of Southampton. Jacqui’s PhD is on the topic of researching data protection and innovation in smart cities. She will be talking about Data Ethics for AI & Algorithmic Accountability. The fourth keynote will be given by Dr Peter Craigon from the University of Nottingham. Peter is a Research Fellow specialising in Ethics, and his talk will focus on the Moral IT Cards that he has developed. The final keynote will be given by Dr Samantha Kanza, an Enterprise Fellow at the University of Southampton. Samantha coordinates the AI for Scientific Discovery Network and developed a keen interest in the ethical and societal issues of technology whilst completing her PhD in Web Science. She will be presenting on Ethics for AI for Scientific Discovery.
A risk investment evaluation method based on dynamic bayesian network and fuzzy system

In order to enhance the risk investment evaluation algorithm precision of forestry rights mortgage of farmers, this paper provides a method of risk investment validating process of forestry rights mortgage of farmers based on dynamic Bayes network (DBN) and fuzzy system. For that have to be processed fuzzy data in time arrangement and evaluate the circumstance viably, Intuitionistic Fuzzy Dynamic Bayesian Network (IFDBN) is assembled. Intuitionistic fuzzy thinking is implanted into DBN as a virtual node in this method. Also, another technique to change over the intuitionistic fuzzy thinking yield into likelihood that could contribution to DBN as proof is proposed. Firstly, it analyzes the risk investment of forestry rights mortgage of farmers, raises the risk evaluation system and adopts normalization and factor analysis methods to pre-process the model index; secondly, by aid of a four-layer DBN model, it puts forward the hierarchical DBN model of risk investment, having input layer, fuzzy layer, fuzzy inference layer and output layer, designs the composition and calculation mode of fuzzy function module and DBN module; Finally, it verifies the viability of the calculation through experimental examination.
A new Systemic Taxonomy of Cyber Criminal activity

Cybercrime commonly refers to a broad range of different criminal activities that involve computers and information systems, either as primary tools or as primary targets. Cybercrime Science combines the methodology of Crime Science with the technology of Information Security. The few existing taxonomies of Cybercrime provide only general insights into the benefits of information structures; they are neither complete nor elaborated in a systemic manner to provide a proper framework guided by real system-principles. The main problem with such taxonomies is the inability to dynamically upgrade, which is why there is no timely cybersecurity actions. The current and past approaches were based mainly on the technical nature of cyberattacks and such approaches classified the impact of the activities from a criminological perspective. In this article, we present a systemic taxonomy of Cybercrime, based on definitions of the field items and the related data specifications. We develop a new method for estimating the fractal dimension of networks to explore a new taxonomy of Cybercrime activity. This method can serve to dynamically upgrade taxonomy and thus accelerate the prevention of cybercrime.
Building in Resilience Through Graduate Skills Computer Science Assessment

Students enrolled in computing science programmes are often more focused on gaining skills such as programming than other valuable skills such as team work, adaptability and self- regulation. An ability to react, collaborate and adapt in changing environments and to evolving timelines are valuable skills required for any professional software engineering role. However, communicating the value of such skills as well as providing opportunities for students to refine skills is challenging. In this paper we argue that developing graduate skills can help students develop the necessary resilience for facing such circumstances and propose some approaches for designing such assessment in computer science.
SEMIRING ACTIONS FOR MULTIPLE KEY SHARING IN PUBLIC KEYCRYPTOGRAPHY

Adv. Math. Sci. J. Vol. 9, No. 3 Open Access SEMIRING ACTIONS FOR MULTIPLE KEY SHARING IN PUBLIC KEYCRYPTOGRAPHY S. Nivetha and M. Chandramouleeswaran DOI: https://doi.org/10.37418/amsj.9.3.71 Full Text Abstract Abstract In this paper we discuss the semiring action problem for a public key symmetric cipher model where the action of the semiring, … page AMSJ9-N3-71 Read More »
Author Correction: Human information processing in complex networks

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Chaos-based Cryptography: A Brief Look Into An Alternate Approach to Data Security

Abstract The present scale of computing inevitably demanded increased level of data security, which is the concern of cryptography. Security of the cipher depends on the strength of the key and the algorithm used to generate the keys. Many modern cryptographic algorithms are based on Number Theory, but in recent years an alternative approach has been studied which is based on Chaos Theory. Many properties of chaotic systems such as nonlinearity, randomness, and sensitivity to initial conditions bear resemblance to those required by cryptography such as diffusion and confusion. Implementations of chaos-based cryptosystems have been proposed by other researchers and yet the strength of these systems from a cryptographic point of view has not been thoroughly considered. This paper discusses the appeal of chaos-based cryptography, some of the researches already done, and the challenges that this approach faces to be established as a fully secure method for data security.
Some Properties of Double Minimal Space

In this paper, we present some important concepts indouble minimal space and study of (interior, closure) sets this space.Moreover, we give concepts ‫ݎ݈ܽݑܴ݃݁‬ -ै ୈ -(open, closed) sets, a ै ୈ -( ࣛ, १, ी, ज़ ܽ݊݀ ࣝ) sets and find the relationship between these concepts.
How Interaction Paradigms Affect User Experience and Perceived Interactivity in Virtual Reality Environment

Interactivity is one of the major features of virtual reality (VR) comparing with traditional digital devices. Many virtual reality devices and applications provide more than one input instruments for users to experience VR content. This study compares user behavior and perceived interactivity with three interaction paradigms to investigate the influence of interaction paradigms on user experience in virtual environment. An experiment of 36 participants was conducted to measure three factors of user experience and three factors of perceived interactivity. An ANOVA test was conducted and the results show that interaction paradigms have significant influence on user total interaction frequency, playfulness of interactivity and controllability of interactivity. Results did not show significant difference on total experience time between groups, which indicates that how long time the users spent in experiencing VR were not significantly affected by what type of interaction paradigms they used. This study has theoretical and practical implications on designing and developing virtual reality user experience.
Redirecting EFL writing instruction through mind mapping technique in senior high school

The purpose of this research was to see the effects of Mind Mapping Technique toward students’ writing ability especially in writing descriptive text. The results of Post-test experiment and control class were used to confirm the hypothesis. The population of this research was all of the students at X grade of Senior High School 3 Padang Panjang, consisting of 96 students who spread in 3 classes. Two classes were taken as sample by using cluster random sampling. Writing test was used to collect the data. The treatments were done in six meetings. The data of this research were analyzed by using Statistical Product and Service Solution (SPSS) Program. The result showed that the mean score of students’ post-test at experimental class was (65.94) higher than those of control class (58.16). The calculation of the test showed that t-calculate was (8.27) higher than t-table (1.67) at the significant level of .05 meaning that students who were taught through Mind Mapping technique produced better writing skills in descriptive text. It can be concluded that teaching writing by using mind mapping technique gave significant difference on students’ writing ability at X grade of Senior High School 3 Padang Panjang. Therefore it is recommended that English teachers should use this technique to improve students’ writing ability.