Reviewerly/exHarmony huggingface dataset:
In the Shadows of Instagram: How Marginalized Groups Resist Stigmatization on Social Media Platforms

In our research, we focus on moral stigma as an additional and structural diversity dimension that unproportionally intersects with precarious working conditions of those being affected. Marginalized groups facing soft or hard moral stigmatization regarding their occupations, such as pole dancers, sex workers, or strippers, flee into digital spaces to build their business ties, organize learning, and make livelihoods. However, obscure content moderation practices in the digital hinder communication within and among marginalized groups facing moral stigmatization and thus, enforce the precarity. Consequently, marginalized groups either leave or organize resistance. We focus on strategies of the pole dance community as a marginalized group to resist moral stigmatization encoded in the content moderation practices of Instagram. Applying a ‘communication constitutes organization (CCO)-perspective’, we see content moderation and the encoded moral stigma as co-constitutive for organization and therefore, for organizing resistance. We conducted a netnography and analyzed 288 communicative acts uttered by the pole dance community and other marginalized groups. We identified three strategies of resistance that evolve from individual to collective resistance and from emphasizing differences and, thereby, stigmatizing to emphasizing similarities among pole dancers and other marginalized groups. The findings show how the moral stigmatization in the digital is contestable through content moderation and how it constitutes collective resistance re-establishing and finally fighting it.
THE ROLE OF THE TEACHER IN THE PROCESS OF TRANSITION BETWEEN PRESCHOOL AND PRIMARY SCHOOL

V. Valjan Vukić 1, I. Tikvić2 1University of Zadar (CROATIA) 2Primary School Zadarski Otoci (CROATIA)
Digitizing Physical Assets on Blockchain 2.0: A Smart Contract Approach to Land Transfer and Registry

The real estate market in many African countries reflects inefficiency, indiscipline, suspicion, and fraudulent activity. Beyond the direct personal and financial costs, the friction of the existing property transfer process prevents assets from being utilized and valued at their maximum utility. The frustrations and lack of trust affect most real estate markets across Africa, including Ghana, where we will focus the investigation and examples in this paper. Remarkably, the existing Ethereum blockchain platform and smart contract capabilities can be used to bring efficiency, accuracy, trust, and value to the property transfer and registration process without a significant investment in new infrastructure.
Analysing Action and Intention Recognition in Human-Robot Interaction with ANEMONE

The ANEMONE is a methodological approach for user experience (UX) evaluation of action and intention recognition in human-robot interaction that has activity theory as its theoretical lens in combination with the seven stages of action model and UX evaluation methodology. ANEMONE has been applied in a case where a prototype has been evaluated. The prototype was a workstation in assembly in manufacturing consisting of a collaborative robot, a pallet, a tablet, and a workbench, where one operator is working in the same physical space as one robot. The purpose of this paper is to provide guidance on how to use ANEMONE, with a particular focus on the data analysis part, through describing a real example together with lessons learned and recommendations.
Toward Co-creative Dungeon Generation via Transfer Learning

Co-creative Procedural Content Generation via Machine Learning (PCGML) refers to systems where a PCGML agent and a human work together to produce output content. One of the limitations of co-creative PCGML is that it requires co-creative training data for a PCGML agent to learn to interact with humans. However, acquiring this data is a difficult and time-consuming process. In this work, we propose approximating human-AI interaction data and employing transfer learning to adapt learned co-creative knowledge from one game to a different game. We explore this approach for co-creative Zelda dungeon room generation.
ENHANCE LEARNING PROCESS THROUGH RANDOM TESTING

1 Defense University Center at Spanish Naval Academy (SPAIN)2 University of Vigo, Chemical Engineering Department, EEI (SPAIN)
MENINGKATKAN PEMAHAMAN KONSEP BELAJAR IPS TEMA 5 PAHLAWANKU DENGAN MEDIA PEMBELAJARAN VISUAL PADA SISWA KELAS IV

This media development aims to produce a valid and effective learning media product as one of the learning resources for social science learning in grade 4 elementary school. The development of media learning using ASSURE model which has 6 stages, namely: (1) student analysis, (2) determining learning objectives, (3) choosing methods, media and materials, (4) using media and materials, (5) encouraging student participation, (6) evaluation and improvement. The subject of this multimedia development of social studies is grade 4 elementary school students. The development of multimedia learning is declared valid for use in class IV IPS learning. This is obtained from the validation of media experts, material experts, individual students, small groups, large groups / klasikal. After the expert test and trial to students then conducted posttest that aims to find out the effectiveness of the use of this learning media. The test results obtained in the use of multimedia learning ips showed that the students managed to obtain grades above the established KKM. By demikan can be concluded that the development of multimedia learning ips is very effective to be used in conducting the learning process.
Additional acquisition sessions monotonically benefit retention and relearning

Author(s): Fiechter, Joshua; Sense, Florian; Collins, Michael Gordon; Krusmark, Michael; Jastrzembski, Tiffany | Abstract: Spacing is a highly effective encoding strategy that has been shown to benefit memory in a variety of domains. Recent work has emphasized the evaluation of spaced practice under conditions that more closely reflect daily life. This work found that spacing repetitions over days, weeks, or months is effective over retention intervals as long as one year. One aspect of spaced study that has received less attention, however, is the relationship between the number of acquisition sessions and final retention. That is, if a student preparing for an exam plans to allocate 10 hours to preparing for that exam, is there an optimal, or perhaps minimal, number of study sessions that they should engage in to best leverage the benefits of spacing? In the present experiment we had participants complete 16 practice tests of Japanese-English pairs (e.g., boushi – hat). These practice tests were either all completed in one session, or distributed across two, three, or four sessions. These sessions were spaced either 1, 7, 30, or 90 days apart. Participants completed four test trials following a retention interval of 90 days, 180 days, or some variable length. Our results suggest that the number of acquisition sessions monotonically enhanced first-trial test performance as well as relearning, though evidence for enhanced relearning between one and two sessions was ambiguous. Unexpectedly, these monotonic trends were stable across practice lags and retention intervals. These findings suggest that, in addition to the temporal lag between practice episodes, the number of sessions over which one elects to distribute those episodes also has ramifications for long-term retention, and that each additional session yields meaningful benefits.
USING RECOMMENDATION SYSTEM TO HELP STUDENTS CHOOSE A CAREER FIELD BASED ON THEIR INTERESTS

Several          researchers          study Recommendation Systems to assist users in the retrieval of relevant goods and services, mostly used in e-commerce. Several          researchers          study Recommendation Systems to assist users in the retrieval of relevant goods and services, mostly used in e-commerce. However, there is limited information of the impact of Recommendation Systems in other domains like education. Thus, the objective of this study is to summarize the current knowledge that is available as regards Recommendation Systems that have been employed within the education domain to support educational practices.
Interpretation Support System for Classification Patterns Using HMM in Deep Learning with Texts

This paper describes an interpretation support system for classification patterns extracted from deep learning with texts using HMM, and verified its effectiveness. It is well known that classification patterns by deep learning models are often difficult to interpret the reasons derived. In the proposed system, the content of deep learning results is extracted using HMMs, and classification patterns are provided for the system users to interpret the learned features. Then, the system displays learned network structures so that anyone can easily understand learning results. In verification experiments to confirm the effectiveness of the system, based on the learning result of deep learning classifying sentences, in the experiment, the subjects were divided into two groups. One group used the proposed system. The other group used the system that displays words with high TFIDF values. The both groups were instructed to give meanings of classification patterns peculiar to each output. The results show that the subjects who used the proposed system were able to understand the meanings of the classification patterns of deep learning with texts more deeply than those who used the comparison system.
Unusual Crowd Activity Detection Using Open CV and Motion Influence Map

Suspicious behavior is dangerous in public areas that may cause heavy causalities. There are various systems developed on the basis of video frame acquisition where motion or pedestrian detection occur but those systems are not intelligent enough to identify the unusual activities even at real time. It is required to recognized scamper situation at real time from video surveillance for quick and immediate management before any casualties. Proposed system focuses on recognizing suspicious activities and target to achieve a technique which is able to detect suspicious activity automatically using computer vision. Here system uses OpenCV library for classifying different kind of actions at real time.
DIGITAL SKILLS DEVELOPMENT FOR INTANGIBLE CULTURAL HERITAGE PRESERVATION IN VET SECTOR

The Digital Agenda of the Europe 2020 Strategy set as the main objective the development of a digital single market for the smart, sustainable and inclusive growth to be generated. The cultural heritage digitization turns Europe's cultural resources into an important building block for the digital economy and provides Europe's Cultural and Creative Industries (CCIs) with a competitive edge. The pace of innovation, the changing nature of the sector, and the importance of culture to the European economy require the employed in the CCIs to have relevant digital skills and competences. Linking education with innovation is a necessary step towards increasing the labour market relevance of VET and promoting a more resource-efficient and competitive economy.In this context, the DigiCult (Digital presentation and preservation of intangible Cultural heritage) project has been designed and co-funded by the European Commission under the Erasmus Plus Programme.Its main goal is to elaborate and promote an innovative framework for digitization and efficient and cost-effective training on digital presentation, preservation and promotion of the intangible cultural heritage (ICH) of Europe from global and long-term perspectives. The provision of relevant training in ICH digitization (standards and methods) will contribute to meet common challenges such as the digital shift and need for encouragement of innovation in the cultural sector as the ability for practical application of digital skills and competences is a valuable asset to any professional qualification in this domain.The target groups are professionals, students from partner cultural organizations and the educational organisations working in the field of presentation, preservation and dissemination of intangible cultural heritage from Bulgaria, Italy, Latvia and Greece.This paper intends to present the first project results, mainly the framework for common standards and models for digitization, presentation and preservation of ICH and the training course delivered on a modern educational environment where the students/VET trainees are able to follow flexible learning paths while improving their key and transversal competences in line with the current digitization trends.
Sistem Informasi Manajemen Pada Bengkel Koh Sin Grobogan

Koh Sin Workshop is a special car repair shop that operates in the field of services both providing repair services and sales of spare parts and oil. The data management process at this workshop still uses manual method with paper media and general ledger archiving. The amount of data stored causes the time needed to search for customer data takes longer, and is vulnerable to loss of data. The purpose of this research is to develop a management information system in Koh Sin workshop. The method used in this study is the waterfall method which is often also called a linear sequential model or classic life cycle. The stages include requirements analysis, system design, coding, testing, and implementation. The purpose of this research has been achieved with the establishment of Management Information Systems at Grobogan Koh Sin Workshop that all features function properly in accordance with the expected goals. Based on the results of the blackbox and SUS testing, it can be concluded that the system can work as expected with an average respondent yield of 77.3333% and can be accepted by users.
PembuatanPresentasiBahanAjarDigitaldenganMenggunakan AplikasiKomputerdi MISAL– IKHLASIAH Medan

Intheteachingandlearningprocessintheclassroom,theteacher'staskistoprovidesubjectmattertostudentswithoptimallearningconditions,toworkforsituationsthatcanincreasestudentattention, arouseandmaintainandencouragestudentactivities,theneffortscanbemadebyateachertocreatethesituationby usingmore effective andcreativelearningmedia.One effective andcreative learning methodis thepresentationof digitalteaching materialswiththeMicrosoftPowerPoint program.Theapplicationof MicrosoftPowerpointformakingdigitalteachingmaterialpresentationsinaccordance withtherightway and principles,intheteachingandlearning process,suchasincreasinginterestinlearningsoastomake studentsperformwell.BasedoninformationobtainedfromseveralteachersatMISAl-IkhlasiahMedan thatuptonow inlearningactivitiesarestillusingconventionallearningmethodsnamelylecturemethods, practiceexercises,discussions,and questions andanswers.Toovercome this problem,itis necessary to conducttrainingfor masteringMicrosoftPowerpointas an applicationfor making digitalteachingmaterial presentations inclassfor teachers.Withthistrainingtomake presentations ofdigitalteachingmaterials to teachers,theteachingmaterialdeliveredbytheteacherismoreeffectiveandcreativesoastoincrease student interest inclass.
SISTEM PAKAR DIAGNOSA PENYAKIT IKAN GURAME DENGAN MENGGUNAKAN FIS MAMDANI

The carp (Osphronemus Goramy) including fish that was seeded in cultivation. In addition to the price of carp that are relatively more expensive than other fish and it has been easy to carp also has a higher value compared to other freshwater fish. But in the cultivation of carp diseases is one of the serious problems encountered by the fish farmers because it could potentially cause harm. Diseases that attack the carp both are still in the larval or adult forms of which are caused by parasitic infections in the form of fungi, protozoa, worms as well as bacterial infection of Aeromonas hydrophylla, Flexybacter colomnaris, and Mycobacterium sp. The multiplicity of types of disease that can attack the carp and the difficult process of detection because of the similarity of the symptoms caused fish farmers making it difficult to determine the methods of prevention and control of the right to address the disease. Detection of disease of carp is seen on the surface of the body of the fish. Therefore, it takes expert system to detect disease carp by involving technology. One of the methods used in the expert system of fuzzy inference system Mamdani. Fuzzy inference system Mamdani reasoning used in this study because of the handling of the value and accuisition of knowledge representation experts can directly representation in the form of rules, which can be understood when placed on the machine inference. The result of this reasoning is to detect diseases of the carp while delivering the right solution to tackle the disease of carp.
THE IMPACT EXTENT OF KNOWLEDGE MANAGEMENT IN APPLYING ENVIRONMENTAL MANAGEMENT SYSTEM AN APPLIED STUDY ON INDUSTRIAL AREA COMPANIES IN ABU RAWASH

The study aimed to: Identify the nature of the link between knowledge management and its components and the environmental management system and its components, and the extent of the influence of knowledge management and its elements on the environmental management system and its components. The study targeted (120) workers at different administrative levels for (8) companies in the industrial zone in Abu Rawash that apply Environmental management system, with a percentage of 10% of the total number of its employees, and the study followed the descriptive approach, and data were collected through the interview and a Questionnaire list the first part of it was devoted to the for knowledge management as an independent variable that contains (4) sub-variables which are knowledge content, technology, knowledge management processes, The employees, and the second part was devoted to the environmental management system as a dependent variable that contains (4) sub-variables: planning, implementation, review, development, and the response rate was 94.17%, and the study was carried out during the period 6/19/2019 to 12/2/2020.The most important recommendations of the study:The necessity of using knowledge management in industrial companies to participate, interact and integrate with the environmental management system in these companies to achieve the desired quality and effectiveness, improve environmental performance.Optimize the use of technology to make faster and optimal decisions for environmental management.Increase interest in workers who are able Creativity and innovation,Focusing on the continuous improvement of environmental performance. Disclosure of the company's work in knowledge management. Inclusion of this in the company's environmental policy to present a bright image to interested parties and to motivate competing companies.
VISION FOR BULGARIAN HIGHER EDUCATION IN THE CONTEXT OF CURRENT WORLD PANDEMIC

D. Stoyanova, S. Denchev, S. YordanovaUniversity of Library Studies and Information Technologies (BULGARIA)
Intersectional Bias in Causal Language Models

To examine whether intersectional bias can be observed in language generation, we examine \emph{GPT-2} and \emph{GPT-NEO} models, ranging in size from 124 million to ~2.7 billion parameters. We conduct an experiment combining up to three social categories - gender, religion and disability - into unconditional or zero-shot prompts used to generate sentences that are then analysed for sentiment. Our results confirm earlier tests conducted with auto-regressive causal models, including the \emph{GPT} family of models. We also illustrate why bias may be resistant to techniques that target single categories (e.g. gender, religion and race), as it can also manifest, in often subtle ways, in texts prompted by concatenated social categories. To address these difficulties, we suggest technical and community-based approaches need to combine to acknowledge and address complex and intersectional language model bias.
Study of the Use of the Parasarg in Hindi and Prepositions in Thai

Language is a human medium used to communicate understanding between each other. The choice of words in the language to be compiled into a proper and proper manner will be beneficial for the purpose and success of the communication process. And the word connection is an important part. Because it is a part of the meaning of each word in a related sentence is properly harmonious. Hindi uses the word Parasarg to connect words in sentences and place them after the nouns and pronouns which are different from the prepositions in Thai which are placed in front of nouns, pronouns and adverbs.
On Reward Sharing in Blockchain Mining Pools

This paper proposes a conceptual framework for the analysis of reward sharing schemes in mining pools, such as those associated with Bitcoin. The framework is centered around the reported shares in a pool instead of agents and results in two new fairness criteria, absolute and relative redistribution. These criteria impose that the addition of a share to the pool affects all previous shares in the same way, either in absolute amount or in relative ratio. We characterize two large classes of economically viable reward sharing schemes corresponding to each of these fairness criteria in turn. We further show that the intersection of these classes brings about a generalization of the well-known proportional scheme, which also leads to a new characterization of the proportional scheme as a corollary.
DESIGN OF AN EXTRACURRICULAR PROJECT FOR SCIENCE COMMUNICATION WITH LOCAL COMMUNITIES

K. Takemata1, A. Minamide2, A. Kodaka2, S. Fujishima2 1Kanazawa Institute of Technology (JAPAN) 2International College of Technology, Kanazawa (JAPAN)
Digital education prospects after COVID 19

The article describes the transformation of higher education during and after the pandemic. Digital Education is examined as one of the ways that can ensure the achievement of sustainable development goals. Not only positive features of digital education but also obstacles on the way to its development and implementation are considered. It’s determined how much the scientific community is interested in the subject of digital education. There has been analyzed the sentiment of blogosphere visitors who create and discuss the content related to the topic of digital education. The analysis identifies that negative posts are associated with the topic of digital security and the risk of digital addictions. In addition, this article presents the results of Internet-based testing of students that reveal the level of digital literacy and readiness to work in a digital environment. The problems students face are mainly related to aspects such as “digital content creation skills” and “digital security”. Also, the analysis of the frequency of interaction with gadgets and the risk of student digital addiction is carried out. It’s revealed that some of the respondents have a risk of internet addiction and a high level of nomophobia.