Reviewerly/exHarmony huggingface dataset:
Blockchain-Based Decentralized Verifiable Credentials: Leveraging Smart Contracts for Privacy-Preserving Authentication Mechanisms to Enhance Data Security in Scientific Data Access

Managing and exchanging sensitive information securely is a paramount concern for different domains such as scientific, finance, cybersecurity, and healthcare. The increasing reliance on computing workflows and digital data transactions requires ensuring that sensitive information is protected from unauthorized access, tampering, or misuse and ensuring data integrity and transparency. To address this need, several approaches have been proposed such as JWT, SciTokens, Verifiable Credentials, and Smart Contracts which provide different methods for managing and exchanging information securely in centralized or decentralized and trustworthy environments. However, each technology offers unique advantages and limitations that require a comprehensive analysis to understand its potential and challenges. In our previous study, we conducted a comprehensive analysis of these approaches for authenticating and securing access to scientific data. This research further proposes a novel blockchain-based verifiable credentials that integrate the concept of Smart Contracts. The aim of this study is to introduce a decentralized and privacy-preserving authentication mechanism to enable stakeholders to share, verify, or revocation of their data with enhanced security, transparency, and trust. The proposed framework utilizes two different blockchain frameworks, Hyperledger Fabric and Ethereum to conduct comprehensive research to evaluate the effectiveness of both frameworks for the development of verifiable credentials. Our analysis indicates that Hyperledger Fabric offers enhanced security and ensures robust integrity through a private network and chaincode mechanism for authentication and access to data. As a result of our analysis, we adopt Hyperledger Fabric for the implementation and demonstration of the final version of our framework. We evaluate the proposed approach with a set of educational data to measure the effectiveness of the system. We find the proposed framework enables users to share data effectively within a secure network and only authorized stakeholders are allowed to access the shared data.
Qualitative Study of Factors Causing Double Numbering of Medical Record Documents at Dharma Yadnya Hospital Denpasar

Introduction: Duplication is when two medical record numbers have the same identity or patient. Duplication or double numbering of medical records occurs because the patient's medical record file is not found when the patient comes for treatment, or the patient needs to remember to bring the Medical Index Card (MIC). This study wanted to determine the factors that cause duplication or double numbering of medical record documents. Method: Data collection was carried out by in-depth interviews, observation, and documentation using case study research with qualitative descriptive methods. The Miles and Huberman method is used in data analysis. The sample of this study amounted to 5 people with purposive sampling techniques. Results: The results of the study showed that the implementation of medical record documents in the registration section uses a computerized system, numbering system using the Unit Numbering System (UNS), alignment system using the Straight Numerical Filling (SNF) system, storage system using a Decentralized system, and the leading cause of duplication of medical record numbers at Dharma Yadnya Hospital is that when patients come for treatment often do not bring MIC or other identity cards. Conclusion: From the study results, the implementation of taking medical record documents has not followed the Standard Operational Procedure (SOP) because it has yet to implement tracers. So, tracers are recommended, and officers must be careful in carrying out health services following existing SOP regulations.
Making Worlds in the Pluriverse Panel at Congress: About

These are select transcripts from a moderated panel titled “Making Worlds in the Pluriverse” held as part of Congress of the Humanities and Social Sciences 2023 at York University in Toronto.
Dynamic Rule Extraction Method Based on Computer Fuzzy Chinese Language Recognition System

In the whole dynamic rule extraction method optimization design, how to improve the accuracy of feature extraction and improve the recall rate is the key problem that needs to be solved. This paper studied the importance of dynamic rule extraction, analyzed the application of fuzzy logic in dynamic rule extraction, and explored the methods and steps of data preprocessing and feature selection as well as the generation and update mechanism of dynamic rules. Based on the discussion of the data results, this paper drew the following conclusions: The accuracy of dynamic rule extraction method is about 14.7% higher than the comprehensive average growth rate of traditional methods. Meanwhile, the overall average growth rate of recall rate is around 8 %. This shows that the dynamic rule extraction method based on computer fuzzy Chinese language recognition system has a good effect in practical application. With the growth and diversity of corpora, this method has improved the performance of computer systems in processing Chinese text.
Lord Rama Devotees Algorithm: A New Human-Inspired Metaheuristic Optimization Algorithm

Several Human-Inspired Metaheuristic Optimization Algorithms were proposed in literature. But the concept of DevoteesInspired Metaheuristic Optimization Algorithms is not yet explored. In this article, Lord Rama Devotees Algorithm (LRDA) is proposed which is a new Devotees-Inspired Metaheuristic Optimization Algorithm.
A Modified BGM-PHD Filter with Unknown Detection Probability

The standard Probability Hypothesis Density (PHD) filter requires manually presetting the detection probability before tracking. In addition, incorrect settings would lead to deterioration in filter performance. Beta GM-PHD filter introduces the unknown detection probability modeled by Beta distribution into the Bayes recursion to enhance the robustness under the lack of detection model parameters. However, the limitation that biases the target number and detection probability estimations significantly affects the application of the Beta GM-PHD filter. In this paper, the mechanism of the estimation biases is analyzed and a simple but effective modification is presented. Simulation results demonstrate that the modified filter provides more accurate detection probability and target state estimates in unknown and space-varying detection probability scenarios.
The Effectiveness of the Short Story Writing Program in Developing Students' Creative Writing Skills

This research is motivated by the low ability of creative writing. Students still find it difficult to write literary works, especially short stories. This study aims to analyze the effect of the short story writing program on the creative writing skills of high school students. Analysis was carried out on aspects of word choice (shape, synonyms, collocation) and aspects of creativity in making short stories (fluency, flexibility, originality and elaboration). The method used in this research is quasi-experimental. The instrument used is a test of creative writing skills and indicators for assessing aspects of word choice and creativity. Research participants consisted of 250 high school students. The number of samples was divided into 125 students in the experimental group and 125 students in the control group. Data were analyze using descriptive statistics, t test, analysis of variance test (ANOVA) to investigate significant differences between the means and calculate the effect size using SPSS. The results of the study show that short story writing programs can improve students' creative writing skills. The improvement of students' short story writing skills can be seen in the improvement in the quality of writing from several aspects, namely the aspect of word choice (forms, synonyms, collocations) and aspects of creativity in making short stories (fluency, flexibility, originality and elaboration). From the results of the study it can be concluded that this creative writing program can improve the ability to write short stories.
HathiTrust Post45 Fiction Dataset

This dataset contains metadata and HathiTrust IDs for fiction held by the HathiTrust Digital Library published between 1945 and 2013. The HathiTrust IDs can be used to computationally access a list of words for each page for each volume, which can enable many kinds of computational text analysis. The dataset also contains ISBSNs, OCLC numbers, and other related OCLC information (such as the number of holdings of each title across WorldCat libraries) for volumes where this information could be identified.
Exploring Usage Patterns and Semantic Differences in Suffixes ‘-dab-’ and ‘-seureob-’ Using Corpus.

In this paper, we analyze some usage patterns and semantic differences of the suffixes ‘-dab-’ and ‘-seureob-’ based on spoken and written corpora. To do so, relevant sentences that include either suffix are extracted from the corpus, providing a rich set of authentic usage patterns of the two suffixes. We demonstrate that the two suffixes cannot be distinguished solely based on the semantic features of the expressions they attach to, nor can they be explained solely by differences in the relationship between the subject and the (preceding) lexeme. Alternatively, based on these observations, this study suggests that the suffix ‘-dab-’ signifies ‘not deviating from a generalized concept related to the lexeme’ and that the suffix ‘-seureob-’ signifies ‘evoking a sense or mood related to the lexeme’. Furthermore, this study explores the relationship between the derived patterns of ‘-dab-’ and ‘-seureob-’ based on semantic features found in the shared lexeme list. Lastly, it emphasizes that the inherent positivity or negativity of lexemes is context-dependent and not determined by the characteristics of the lexeme or the suffix alone. All in all, this study critically surveys some major analyses on the similarities and differences between ‘-dab-’ and ‘-seureob-’, mostly on the basis of the usage patterns found in one of the largest corpora currently available, and then a more comprehensive view of the phenomena is proposed, showing how it can explain examples not discussed in previous research.
CYBERCRIME AND THE ROLE OF THE HADOOBI AUTHORITY IN PROTECTING COPYRIGHT

This study seeks to show that information and communication technology has enabled Internet users to commit other crimes that affected copyright and related rights by very modern technical means, as the moral and material rights of the author and the owners of rights related to the author are the fruits of their creativity in the fields of literature and art, they are the product of the so-called literary and artistic works, these rights have known wide circulation in the digital domain, these rights of a literary and financial nature find their framework in Moroccan law. These rights are widely exploited today in the Internet environment, as the latter provided the way to benefit from them by the exploiters of the Internet, and enabled their owners to publish their literary and artistic works and creations, but this environment posed several problems that affected those rights, especially literary and artistic works. Such as downloading them without the permission of their authors and exploiting them for commercial or profit purposes by others without paying their authors a fair reward for that exploitation, and also the difficulty of identifying the exploiters of these literary and artistic works, which misses the opportunity for authors to enjoy and benefit from their moral and material rights resulting from their intellectual creations, if users of Internet networks and platforms sharing digital content have the right to exploit intellectual works and benefit from their advantages, so should a degree of protection be guaranteed to the authors of these intellectual creations. In some cases, we find that these platforms block or pirate some intellectual creations that have achieved high rates of viewing, and then claim that these intellectual contents have been pirated or penetrated by Internet users, which poses with it the difficulty of determining the party responsible for the act of penetration or piracy.
The Human Potential in Relation to Noonomy Theory: of Transformation of the «Economic Man» to the «Culture Man»

In the light of the theory of noonomy, the article substantiates the need for priority development of human potential in the process of transformation of an “economic person” into a “cultural person”. That person is becoming increasingly characterized by the creative content of work, the rejection of simulated needs, the development of human qualities as the highest criterion of progress. This movement forces us to look at the goals and means of economic development in a new way and put the intensive development of a person and his potential as the main productive force of society and the values of social development in the center. It is shown that the category of “human potential” is qualitatively different from the narrow concept of “human capital”. Using the example of the socio-humanitarian sphere, in particular, the scientific and educational sphere, it is considered how the goals and motives of activity in this area can change if they focus on a cultural person, a creative person. Using the example of the socio-humanitarian sphere, in particular, the scientific and educational sphere, it is considered how the goals and motives of activity in this area can change if they focus on a cultural person, a creative person. The article presents the main components of this process in the field of education.
Editora Capacita: Um relato de experiência

This experience report presents the training project carried out by Editora IFTM, entitled "Editora Capacita". With the aim of helping internal and external community, in academic-scientific writing, training actions were proposed in the form of short courses and lectures, to be held online. The actions were planned and carried out with the support of the Editorial Board of the Editora IFTM, which was also responsible for part of the actions. Five of the six actions planned in the project have already been carried out and the results show that the proposal was effective in publicizing the actions and encouraging writing and participation in the submission of manuscripts to journals and ongoing calls for proposals.
Optimizing Observability: A Deep Dive into AWS Lambda Metrics

The importance of observability in AWS Lambda systems is examined in this technical article, which focuses on using Python and the AWS Lambda Powertools to improve monitoring capabilities. With serverless computing, AWS Lambda has emerged as a critical service that lets developers concentrate on writing code rather than maintaining infrastructure. Nonetheless, troubleshooting, performance improvement, and guaranteeing the dependability of serverless apps depend on effective observability. Using specially designed Python Serverless Restful API and AWS Lambda Powertools, this article thoroughly analyzes important AWS Lambda metrics, their interpretation, and techniques to improve observability while running serverless applications in the AWS Lambda environment. The author will use Python with the AWS Lambda Powertools, implemented as a Lambda layer, to facilitate seamless integration for custom metrics and advanced observability features.
Understanding Problems Encountered by Dyslexic Learners in Mathematics: A Qualitative Inquiry

Dyslexic learners often experience difficulties in mathematics, which can hurt their academic achievement and future success. This study aimed to understand the problems encountered by dyslexic learners in mathematics. The study involved five dyslexic learners in grades V and VI from public schools in the Kathmandu Valley. Data were collected through in-depth interviews and analyzed using thematic analysis. The analysis revealed five themes: difficulty applying mathematical concepts, the impact of dyslexia on mathematics achievement, challenges related to language, comprehension, and memory, math anxiety and self-esteem, and individual differences and support systems. The results of this study highlight the need for targeted support and interventions that address the specific needs of dyslexic learners in mathematics education to improve their overall academic performance. It is recommended that a multi-faceted approach be implemented to support dyslexic learners in mathematics education, which should support the learners to overcome their challenges and achieve success in mathematics.
Perbedaan Motivasi Dan Kemampuan Berpikir Kreatif Mahasiswa Melalui Multimedia Collaborative-Interactive

This Study Aims To Apply Collaborative-Interactive Multimedia Learning In Order To Determine Differences In Students’ Motivation And Creative Thinking Skills. This Research Is Quantitative Research Using Experimental Research Methods In The Form Of Quasi-Experimental Design, Then The Type Is Mid-Respond And Post-Respond With Non-Equivalent Control Group Design. The Population In This Study Were All Civil Engeneering Students At X University. The Focus Of The Research Was On A Sample Of 38 A1 And 10 A2 Student In Mathematics III. Data Analysis Techniques In This Study Used Test, Questionnaires, And Observation. The Data Analysis Technique For Mid-Respond And Post-Respond Result In This Study Were Descriptive Statistics, Validity Test, Normality Test, And Different Test. The Result Of Study Showed That There Was No Difference In Motivation And Creative Thinking Skills Of Students Treated With Collaborative-Interactive Multimedia Learning With Students Who Did Not Receive The Learning Treatment. Focusing On Students’ Creative Thinking Skills Through Collaborative-Interactive Multimedia Learning That This Arises Because The Average Obtained Is Vulnerable To Almost The Same Or Not Much Different, Namely The Mid-Test Average Of 28,792 And The Post-Test Of 30,604. Howefer, By Observation, And Quetionnaires Showed That The Average Proportion Of Collaborative-Interactive Multimedia Learning Was Stated To Be Good, Namely 83,31% So That Collaborative-Interactive Multimedia Learning Had Affected Fluency And Flexible Indicators Of The Creative Thinking Skills. Then, The Average Proportion Of Questionnaires To Student Learning Motivation Was Obtained At 82,92% So That There Was A Contribution Of Collaborative-Interactive Multimedia Learning To Student Learning Motivation.
Tool for supporting the migration of organizational information systems to „Zero Trust Architecture”

The paper presents basic information on the „Zero Trust Architecture” concept and a project involving a tool designed to support the migration of information systems to this architecture. Initially, the Zero Trust concept is briefly described, followed by the presentation of steps based on NSC 800-207 necessary for migrating information systems to this architecture. Subsequently, the procedure for practically using this list is outlined. Finally, the implementation of this procedure into a migration support tool is described.
IT risk evaluation – case study

The paper presents, through three examples, an IT risk evaluation method. IT risk is associated with the realization of threats that cause damage to teleinformatics systems and processed information resources. The quality risk evaluation method, demonstrated through these examples, involves four descriptive scores translated into numerical values in accordance with the PN-ISO/IEC 27005:2014-01 recommendation.
Secure Dimensionality Reduction: Applying Linear Discriminant Analysis over the TFHE Homomorphic Encryption Scheme*

In the context of the proliferating AI landscape, driven by entities like ChatGPT, the demand for extensive data utilization for training has surged, raising concerns about unauthorized data aggregation and privacy breaches. Paradoxically, this surge in data consumption has raised a critical concern— the breach of privacy stemming from unauthorized data aggregation. Sensitive data categories, including credit card details, medical records, and geographical locations, are particularly vulnerable to misuse. Homomorphic Encryption (HE), a post-quantum attack-resistant cryptographic technique, addresses this concern by enabling secure computations on encrypted data. However, HE’s potential is hindered by limitations in evaluation speed, particularly evident in high-dimensional data analysis. This paper introduces contributions, including efficient inverse matrix computation, tailored eigenvector extraction via the power method for the TFHE scheme, and eigenvalue calculation using the Rayleigh quotient within TFHE. The feasibility of applying LDA in the encrypted domain is demonstrated using Fast Fully Homomorphic Encryption over the Torus (TFHE) scheme.
NLSQL: Generating and Executing SQL Queries via Natural Language Using Large Language Models

The goal of data management has long been to make data more approachable for non-technical users. Natural language interfaces (NLIs), which let users interact with data by asking questions in natural language, have become more popular in recent years. Natural language is often vague, and user queries often don’t give enough information. This makes it hard to use NLIs for database querying. In order to solve this problem, this study suggests using large language models (LLMs) to turn free-form natural language queries into SQL statements that can then be run on databases. The proposed system, NLSQL, makes use of LLMs like GPT-3 and shows how efficiently prompt engineering can be done in order to extract from LLMs the desired code for SQL queries. NLSQL shows that using pre-trained LLMs along with the suggested priming prompts is an accurate and reliable way to create and run SQL queries in natural language, even if the queries aren’t very well written or are missing important information. Unlike traditional methods, which involve making grammar rules by hand, this method improves query inference and makes the development of NLIs faster and cheaper. The study shows that the suggested method is safe, protects privacy, and can be used with many different databases. If NLSQL is used to make databases easier for people who aren’t tech-savvy to use, they may not need as much training in SQL and related technologies, which would save a company both time and money.
Digitalisation Of Sukamandi Hulu Village Through The Creation Of An Information System Application Web-Based Population Data To Support The Concept Of Smart Government

The lack of effectiveness in the process of recording, searching and reporting population data using manual methods makes many obstacles in the activity. Population Registration is an activity routinely carried out by the government for science related to techniques, collection, recording, population data consisting of moving data, migrant data, birth data, death data. This Population Data Recording Application is designed in such a way as to facilitate data recording and report generation efficiently and effectively. This application is built with Flowchart notation, Data Flow Diagram, Entity Relationship Diagram and programming is PHP and MySql as DBMS, with engineering development methods and system modelling, needs analysis, design, coding, testing and maintenance. The Population Data Recording Application has several advantages, including being able to display the number of residents in Sukamandi Hulu Village from each month.