Reviewerly/exHarmony huggingface dataset:
Collaborative Processes in Science and Literature: an In-Depth Look at the Cases of CERN and SIC

In this paper we examine how the process of collaboration works in science and literature. In the first part, we discuss the features of scientific collaboration and literary collaboration and the differences between them. In the second part, we analyze two processes of collaboration, each from a different field: the case of CERN and high-energy physics and the case of Scrittura Industriale Collettiva and its Great Open Novel. Lastly, we try to compare those two processes and deduce the common traits of a successful collaboration.
Stylistic Syntactic Structure Extraction and Semantic Clustering for Different Registers

Stylistic syntactic structure extraction refers to extracting the syntactic structures that distinguish different registers, and semantic clustering refers to utilizing the clustering method to bring syntactic structures together with similar semantics. Following these two aspects, we can better understand the essence of registers and acquire the guidelines of classification. In this work, we study the syntactic structures used for distinguishing Novel, News, and Interview through four methods: Pearson Correlation Coefficient (PCC), Chi-Square Test (CST), Random Forest (RF) and Multi-Layer Perception (MLP). Moreover, we serialize the syntactic structures as the inputs of attention network and then train attention network to learn the vector representation of syntactic structures with adjusting parameters. Finally, we mine the typical syntactic-semantic cliques for Novel, News, and Interview with density clustering (DeBaCl). This work is valuable for analyzing the syntactic structures of registers and their semantic characteristics.
Algorithmic definitions for KLM-style defeasible disjunctive Datalog

Datalog is a declarative logic programming language that uses classical logical reasoning as its basic form of reasoning. Defeasible reasoning is a form of non-classical reasoning that is able to deal with exceptions to general assertions in a formal manner. The KLM approach to defeasible reasoning is an axiomatic approach based on the concept of plausible inference. Since Datalog uses classical reasoning, it is currently not able to handle defeasible implications and exceptions. We aim to extend the expressivity of Datalog by incorporating KLM-style defeasible reasoning into classical Datalog. We present a systematic approach for extending the KLM properties and a well-known form of defeasible entailment: Rational Closure. We conclude by exploring Datalog extensions of less conservative forms of defeasible entailment: Relevant and Lexicographic Closure. We provide algorithmic definitions for these forms of defeasible entailment and prove that the definitions are LM-rational.
The Importance of Non-Profit Organization in Globalized World: International Comparison of American and European Continent

Research background: In developed countries, we see a significant increase in the importance of non-profit organizations thank to public initiative. The primary objective is to improve the quality of life in society. Cooperation between private, public and non-profit sectors creates synergy effects. The primary problems of non-profit organizations include legislation that does not sufficiently motivate entrepreneurs to support non-profit subjects, but also a shortage of employees and volunteer. Purpose of the article: Despite the fact that, under the conditions of globalization, there is a greater interconnection of the economies of individual countries, also in the area of non-profit sector, there is still exist important differences between the operation and importance of non-profit organization in an American and European continent. Methods: Firstly, theoretical part of the paper provides historical development of non-profit sector based on primary theoretical approaches. Secondly, practical part of the paper describes non-profit sector on American and European continent. In other words, the paper summarises theoretical and empirical knowledge on importance of non-profit sector in various countries around all the world. Paper main aim is the highlighted the importance of non-profit sector under the conditions of globalization with the emphasis on the international comparison of American and European point of view. Findings &amp; Value added: The results show that non-profit sector plays significant role in building national economies. This paper is the one part of the project outputs focused on non-profit sector. In developed countries, we see a significant increase in the importance of non-profit organizations thank to public initiative.
An Axiom-Based Comparison of the Core and Other Core Extensions

We propose new axiomatizations of the core and three related solution concepts that also provide predictions for (classes of) games in which the core itself is empty. Our results showcase the importance of the reduced game formulation and identify the corresponding converseconsistency property as the differentiating characteristic between the core and its various extensions. Existing axiomatizations of the core and similar concepts include the required form of feasibility in the generic definition of a solution concept and/or are restricted to the domain of games for which existence is guaranteed. We dispense of both practices, thus opening up the possibility of comparing, via basic axioms, solution concepts that have different feasibility constraints and domains.
New Students’ Perceptions on the Implementation of Zoning-Based PPDB

This research aims to determine the perceptions of new students on the implementation of zoning-based PPDB (New Learner Admission Activities). The method in this research was mixed-method approach. Primary data was obtained through distributing questionnaires filled out by students. Samples were taken using purposive sampling technique in five cities, including Bandung, Surakarta, Surabaya, Pontianak and Serang. The data analysis technique used the Miles and Huberman model. The results show that the school which initially received the favourite label is still the favourite one because of the facilities and infrastructure and the implementation of the existing learning process in the school. The zoning system based on student perceptions does not reduce enthusiasm for learning. The zoning-based PPDB for junior high school and senior high school is more guaranteed for students who live close to the school to get the target school. The zoning system has been well implemented in four cities, including Surabaya, Bandung, Surakarta and Pontianak. In addition, the zoning system can save money.
New text steganography method using the arabic letters dots

&lt;span&gt;With the increasing technological and electronic development, methods have been developed to hide important information using text steganography as a new technology, since it is not noticeable and easy to send and receive. The use of the Arabic language is one of the new methods used to hide data. In this work, we preview our method that depends to use the part of Arabic language properties to embed the secret English message in to cover text to create text steganography. More than half of the Arabic characters contain dots. Several characters have upper dots and others have lower dots. Some have one dot others have two dots. Few have even three dots. In this new idea, we will use the dots of charters to embed the English secret message. First, we will compress the secret message by using the 5-Bit Encoding (T-5BE) to make the cover text able to embed more bits of the secret message by 37.5%. Then we start using the Arabic semantic dictionary to correct the hiding path and enhancement the stego-cover text to eliminate errors caused by switching words. In this research, we were able to extract experimental results that show that the proposed model achieves high masking accuracy in addition to the storage capacity of the cover text.&lt;/span&gt;
Personal Socialization as a Subject of Psychological, Pedagogical and Sociological Research

The article deals the problem of personality socialization in philosophical, sociological, psychological and pedagogical research. In philosophical context, the process of socialization means the development of a personality in the phylogenetic and ontogenetic terms, which determines the role of this process in the development of not only an individual, but society as a whole; socialization involves active interaction between the individual and society. In a sociological context, socialization is seen as the acceptance of social norms, rules, and models of behavior in the context of culture, highlighting the active or passive role of the person himself in this process. In the psychological context, socialization theories reveal the specifics of the development of various aspects of personality. Socialization is viewed as the development of individual properties and qualities of a person in the process of interaction with the environment. On the basis of social experience is the internal position of the individual, her individuality, which indicates her active position in the process of socialization. In pedagogical research, socialization is investigated in the aspect of the upbringing process. Socialization is viewed as a controlled and purposeful process of forming in a student the values, norms, attitudes, patterns of behavior inherent in a given society, which will allow the student to perform the most important function of the student's transition from the object of training and education to the subject of social development, and in the future - to an active subject of self-education and self-development.
Furniture Positioning Using Augmented Reality

Buying furniture has been a daunting task for every family.Checklist associated with buying furniture is a long one and matching of the furniture item in their house is a very important aspect.The customers have a hard task in imagining the matching of the furniture item in their house.Here the concept of Augmented Reality comes to the aid of customers.With the help of augmented reality the customer can actually view how the furniture will be look at their house and based on that make intelligent purchase.This application will be beneficial to the furniture sellers as they will be able to market their products in a better and more efficient way.Thus the sellers will be able to provide better service to customers and grow their business.Intended to build a UNITY3d model based android application that will help customers visualize the furniture item set at their place.A sample booklet for the furniture will be provided to the customers by the seller.This booklet will have all the images of furniture item sets and customer can scan this and view the 3d model of the items at their home and can check which item suits them most.The use of Vuforia is very important along with the unity 3d as Vuforia stores the marker images which will be used as the marker for projecting the 3d model of the furniture item sets.
Design Thinking for Cyber Deception

Cyber deception tools are increasingly sophisticated but rely on a limited set of deception techniques.In current deployments of cyber deception, the network infrastructure between the defender and attacker comprises the defence/attack surface.For cyber deception tools and techniques to evolve further they must address the wider attack surface; from the network through to the physical and cognitive space.One way of achieving this is by fusing deception techniques from the physical and cognitive space with the technology development process.In this paper we trial design thinking as a way of delivering this fused approach.We detail the results from a design thinking workshop conducted using deception experts from different fields.The workshop outputs include a critical analysis of design provocations for cyber deception and a journey map detailing considerations for operationalising cyber deception scenarios that fuse deception techniques from other contexts.We conclude with recommendations for future research.
Responses of Russian universities to the challenges of Covid-19 pandemic

On 30 January 2020, the World Health Organization declared the coronavirus outbreak a global COVID-19 quickly spread No country has been left untouched by the 'crowned demon' The pandemic has proven to be an unprecedented challenge for governments of many countries In Russia, lockdown restrictions were placed on the sphere of business, trade and on the services sector This article focuses on the ways in which Russian universities had to re-organize their learning process during the pandemic as well as on the experiences of students and teachers in online learning It explores the attitudes towards online learning and the current assessment of its quality by all involved;it also discusses the measures taken by the universities and governments to support students and faculty We examined the managerial approaches applied by universities;normative regulation acts of the government and universities;the available statistical data and sociological survey data Analysis has shown that all Russian universities can be divided into two groups: those that have reached advanced stages of digital transformation and 'digital newcomers' During the pandemic, while more advanced institutions opted for synchronous forms of learning, the latter had to choose asynchronous forms At the beginning of the pandemic, 13% of Russian universities did not have a high-speed Internet access Our analysis of the normative regulatory acts of different institutional systems has revealed a variety of measures realized on different levels of the education system Our study has also brought to light some interesting patterns in student and faculty levels of satisfaction with distance learning as well as benefits, drawbacks and risks of these forms of learning 88% of teachers are skeptical about the virtual mode of learning and believe that in-person classroom learning is far superior The share of students who reported being completely satisfied with online education dropped from 21% to 14% during the two months of the pandemic 34% of students do not find remote learning less effective than in-person forms The conclusion is made that universities' experience of online learning during the pandemic revealed not only the potential of digital technologies but also their limitations © 2020 Academic Conferences Limited All rights reserved
Designing AR based PWIM to Promote Students' English Vocabulary in the Higher Education of Indonesia

English as a compulsory subject in the higher education of Indonesia is thought as an English for Specific Purposes (ESP).It means that the material provided must be relevant to the study program.Besides focusing on the study program, the use of interactive instructional media in a class is a must since most of teachers believe that it can help them to reach the goal better.The teaching should be more interactive by providing interactive instructional media to attract students' motivation to learn.Nowadays, technology grows rapidly and provides various alternatives in developing instructional media.One of them is the use of Augmented Reality (AR).In this study, the AR is combined with the Picture Word Inductive Model (PWIM) to design the instructional media, named AR based PWIM.The design is used to promote students' English vocabulary of non-English Department who take Basic English course.Since vocabulary is believed as the most important thing in language learning.The research design is a research and development (R n D) design that followed ADDIE development procedures.It starts with the analysis, design, develop, implement and evaluate.Based on the development phases, it can be concluded that the design of AR based PWIM is a relevant model to promote students' English vocabulary in the higher education of Indonesia.Finally, the researchers suggest future research to conduct an experiment study related to the new AR based PWIM instructional design to measure the effectiveness of the design.
Performance Evaluation of Content-Based Image Retrieval Using Block Truncation Coding and CNN

Retrieving similar images from a large image database is a critical task.The solution to this problem is the use of a Content-Based Image Retrieval System.The images are described through their content, there is three predominant content existing in an image like color, shape, and texture.In this paper, we are evaluating the performance of the CBIR system using two methods.The first method consists of Block Truncation coding (BTC) with Grey level co-occurrence matrix (GLCM).The second method consists of Use of CNN.The feature extraction technique is achieved based on an input query image from the database and features are saved in a feature dataset.A proposed strategy retrieves similar images from a database that fulfills the user's desire.The similarity measurement can be done using the Euclidean distance and hashing technique.The overall performance of the retrieval system has been analyzed through the parameters Precision and Mean Average Precision.The experimental result shows encouraging results using CNN which leads to improving accuracy.
an Analysis of Deixis in Avenger Infinity War Movie

The purpose of this study is to find out the types of deixis and the most dominant deixis that appeared in the Avengers Infinity War Movie. This study applied descriptive qualitative research. For collecting data, the researcher used non-participatory technique and observational method. The data in this study applied the theory from Levinson. The utterances of the speaker is used as the data in this study. The researcher found 168 data of deixis. The data were analyzed into person, temporal, place, discourse, and social deixis. The result showed that there are 87 person deixis, 31 temporal deixis, 14 place deixis, 21 discourse deixis, and 15 social deixis. Based on 168 data, the most dominant types of deixis is person deixis because most of all the character in the movie used person deixis. &#x0D; Keywords: Deixis, Linguistic, Pragmatic,
appeal of cartoon characters in instructional media through animation in early childhood education in Surakarta

Animated learning media using cartoon characters is an appropriate means of supporting learning methods in Early Childhood Education in the Surakarta area, Central Java, Indonesia. This research method includes data collection, data analysis, and presentation of data analysis. This research method uses a qualitative descriptive approach through data sources that include learning materials, animated cartoon characters, literature study through the stages of analysis obtained from various sources of information in interactive references. The investigation stages from multiple sources of information, both literature reviews and interviews, were carried out using an interactive model, where each research component includes the steps of data collection, data reduction, presentation, and conclusion drawing. The use of cartoon characters in animation learning media is beneficial for students who are very interesting and able to receive material and participate in learning activities. Also, animated audiovisual media are needed by students and teachers by using cartoon characters in it.
Technical bias and the reproducibility crisis

Technical bias can cause lack of reproducibility. While harder to identify than other bias, it can cause consistent systemic errors in experimental data and analysis.
Predictive Optimization with Zero-Shot Domain Adaptation

Prediction in a new domain without any training sample, called zero-shot domain adaptation (ZSDA), is an important task in domain adaptation.While prediction in a new domain has gained much attention in recent years, in this paper, we investigate another potential of ZSDA.Specifically, instead of predicting responses in a new domain, we find a description of a new domain given a prediction.The task is regarded as predictive optimization, but existing predictive optimization methods have not been extended to handling multiple domains.We propose a simple framework for predictive optimization with ZSDA and analyze the condition in which the optimization problem becomes convex optimization.We also discuss how to handle the interaction of characteristics of a domain in predictive optimization.Through numerical experiments, we demonstrate the potential usefulness of our proposed framework.
FROM STRUCTURAL-COGNITIVE MODEL OF CRISIS IN PEDAGOGICAL SYSTEMS TO FORMAL IDEALIZATION OF MATHEMATICAL MODEL

Synergetic modeling of crises in social, pedagogical systems makes it possible to identify the structure of the crisis, that is common to systems of different nature. It provides a key to the study of crises, including the construction of their mathematical models. The article discusses the stage of synergetic modeling, which consists of the transition from the structural and cognitive model of the crisis to its formalization and idealization for further construction of a mathematical model. Synergetic, systemic, process approaches are the basis of the structural and cognitive model of the crisis. The results of pedagogical experiments allow us to numerically characterize the structure of the crisis, identify numerical parameters that describe the course of the crisis from the inside. Multivariate statistical analysis methods are used to process the experimental results.
Segmentation-Based Fractal Texture Analysis (SFTA) to Detect Mass in Mammogram Images

ABSTRAK Di Indonesia, kasus kanker paling banyak adalah kanker payudara yaitu 58.256 kasus atau 16,7% dari total 348.809 kasus kanker. Dibutuhkan suatu sistem yang dapat membantu pakar untuk mendeteksi kanker payudara pada wanita dengan mengindentifikasi citra mammogram. Keabnormalan dapat dideteksi dari massa pada mammogram yaitu area dengan pola tekstur dan bentuk serta batas tertentu. Berdasarkan hal tersebut maka dibuat sebuah sistem yang dapat mendeteksi massa kanker pada citra mammogram menggunakan Segmentation-Based Fractal Texture Analysis (SFTA). Tahapan pertama akuisisi citra, dilanjut dengan segmentasi menggunakan k-means dan thresholding. Hasil dari segmentasi citra dilakukan tahapan morfologi menggunakan opening dan masking. Setelah itu dilakukan ekstraksi fitur SFTA, dan klasifikasi Support Vector Machine (SVM). Hasil pengujian penelitian ini didapatkan nilai akurasi sebesar 90%, presisi sebesar 87,75%, recall sebesar 93,33%dan f1-score 90,32% dengan nilai number of threshold (nt) SFTA adalah 3 Kata kunci: mammogram, SFTA, kanker payudara, klasifikasi ABSTRACT In Indonesia, the most cancer cases were breast cancer, namely 58,256 cases or 16.7% of the total 348,809 cancer cases. A system is required to assist the expert in detecting breast cancer in women by identifying mammogram images. Abnormalities in a mammogram are determined in part of texture with a particular form and specific limit, usually called a ‘mass.’ Image acquisition is perceived as the first step, followed by segmentation using the k-means and the thresholding. Image segmentation undergoes the morphological analysis steps using opening and masking methods, after feature extraction processing by SFTA, using Support Vector Machine (SVM) for classification processing. The obtained research result revealed an accuracy value of 90%, a precision value of 87.75%, a recall value of 93.33%, and an F1-Score of 90.32%, with the number of thresholds (nt) of SFTA amounting to 3. Keywords: Breast cancer, Mammogram, Classification, SFTA