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Preprint REVIEW | doi:10.20944/preprints202409.0826.v1

Factors Impacting the Adoption and Acceptance of ChatGPT in Educational Settings: A Narrative Review of Empirical Studies

Mousa Al-kfairy

Subject: Computer Science And Mathematics, Information Systems Keywords: ChatGPT in education; intention to use; acceptance; narrative review; Information Systems theoriess

Online: 11 September 2024 (10:59:44 CEST)

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This narrative review synthesizes findings from empirical studies to explore the factors influencing the adoption of ChatGPT in higher education. The review highlights several critical determinants, both confirmed and debatable, of ChatGPT acceptance among students and educators. Previous studies have predominantly utilized theories such as the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Diffusion of Innovations (DoI) theory. Confirmed factors include performance expectancy, effort expectancy, social influence, facilitating conditions, and trust, which significantly predict user attitudes and intentions toward adopting ChatGPT. Perceived usefulness and ease of use are core components influencing adoption positively. However, some factors have shown inconsistent impacts. While generally critical, effort expectancy and facilitating conditions vary based on context. Social influence, demographic characteristics (age, gender), extrinsic motivation, and technology readiness exhibit inconsistent effects, suggesting that intrinsic motivations may be more critical. Data collection primarily used online surveys with structured questionnaires, varying widely in sample sizes from small pilot studies to large-scale surveys and covering diverse academic disciplines. Practical implications suggest enhancing perceived usefulness and ease of use through training and technical support, building trust by addressing privacy concerns, and leveraging social influence to drive adoption. The review underscores the need to refine technology acceptance models to incorporate broader psychological and contextual factors, integrate intrinsic motivation theories, and adopt a systems thinking approach. Addressing limitations such as potential selection bias and the quality and scope of existing studies, future research can develop robust models and provide deeper insights into ChatGPT adoption dynamics in higher education, supporting its effective integration to enhance learning outcomes and foster educational innovation.

Preprint ARTICLE | doi:10.20944/preprints202409.0440.v1

A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios

Alessandro Orro, Gian Angelo Geminiani, Francesco Sicurello, Marcello Modica, Antonio Augello, Matteo Botteghi

Subject: Computer Science And Mathematics, Information Systems Keywords: occupational health monitoring; cloud computing; real-time emergency management; wearable device; IoT; digital health

Online: 5 September 2024 (12:33:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0139.v1

AI-Based Digital Therapeutics for Adolescent Mental Health Management and Disaster Response

Sungwook Yoon

Subject: Computer Science And Mathematics, Information Systems Keywords: digital therapeutics; adolescent mental health; AI-based intervention; disaster response; multi-modal data analysis

Online: 3 September 2024 (11:37:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2166.v1

Digital Tools for Climate Health: Empowering Advocates in the Age of Environmental Challenges

Joy Fabuluje

Subject: Computer Science And Mathematics, Information Systems Keywords: Digital health; climate health; environmental health; public health; mobile health applications; community engagement; climate-related health risks

Online: 29 August 2024 (12:31:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2099.v1

The Transformative Role of Digital Health in Nigeria's Remote Communities

Joy Fabuluje

Subject: Computer Science And Mathematics, Information Systems Keywords: remote communities; healthcare delivery; policy implications; digital health interventions; telehealth, telemedicine

Online: 29 August 2024 (09:23:08 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.2039.v1

Challenges in the automation of Education 4.0 using Industry 4.0 Technologies - A Systematic Review

Amuthakkannan Rajakannu, Ahmed Hassan Al bulushi, Vijayalakshmi K

Subject: Computer Science And Mathematics, Information Systems Keywords: Industry 4.0; Education 4.0; Artificial Intelligence; Robotics; Virtual Reality; Block chain technology; gamification; IoT; Digital Laboratories

Online: 28 August 2024 (10:07:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1741.v1

Emerging Trends in Sustainable Digital Transformation Strategies Across Higher Education Institutions: A Systematic Review

Bakang Nthutang, Mampilo Phahlane, Lario Malungana

Subject: Computer Science And Mathematics, Information Systems Keywords: sustainability; sustainable development; digital transformation; higher education; technology; innovation

Online: 23 August 2024 (17:17:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1691.v1

Protecting Small and Medium Enterprises: A Specialized Cybersecurity Risk Assessment Framework and Tool

Mohammed El-Hajj, Zuhayr Aamir Mirza

Subject: Computer Science And Mathematics, Information Systems Keywords: SMEs; Risk Assessment; Cybersecurity Framework; NIST; ISO; Risk Mitigation

Online: 23 August 2024 (07:15:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1570.v1

Advanced Visitor Profiling for Personalized Museum Experiences Using Telemetry-Driven Smart Badges

Rosen Ivanov

Subject: Computer Science And Mathematics, Information Systems Keywords: visitor profiling; smart museums; smart badges; content personalization

Online: 21 August 2024 (13:33:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1258.v1

Explaining Clusters in RDF Datasets: Computational Aspects

Francesco M Donini, Simona Colucci, Eugenio Di Sciascio

Subject: Computer Science And Mathematics, Information Systems Keywords: Clusterization; Explanation in Artificial Intelligence (XAI); Least Common Subumer (LCS); RDF

Online: 16 August 2024 (17:09:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0776.v1

Using Logs to Mitigate Process Variability and Reliance on Practitioners in Traditional Business Process Automation Software

Thiago Medeiros de Menezes, Ana Carolina Salgado

Subject: Computer Science And Mathematics, Information Systems Keywords: Business Process Automation; Requirements Engineering; requirements specification; software architecture; software design; software development; software engineering

Online: 12 August 2024 (10:42:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1622.v2

Digital Genome and Self-Regulating Distributed Software Applications with Associative Memory and Event-Driven History

Rao Mikkilineni, W. Patrick Kelly, Gideon Crawley

Subject: Computer Science And Mathematics, Information Systems Keywords: Distributed Software Application; Digital Genome; Self-Regulation; Autopoiesis; Associative Memory; Event-Driven Interaction History

Online: 9 August 2024 (12:12:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0536.v1

Matching and Rewriting Rules in Object-Oriented Databases

Giacomo Bergami, Oliver Robert Fox, Graham Morgan

Subject: Computer Science And Mathematics, Information Systems Keywords: direct acyclic graphs; generalised semistructured model; graph grammars; graph query languages; algorithms; operator algebras ;

Online: 8 August 2024 (12:16:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0381.v1

Addressing the Interoperability of Electronic Health Records: Proposing the TASSIPS Framework

Adetunji Ademola, Carlisle George, Glenford Mapp Ezra

Subject: Computer Science And Mathematics, Information Systems Keywords: Interoperability; Electronic health records; Semantic; Security; Privacy; Healthcare Out-comes; Framework

Online: 6 August 2024 (12:35:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2248.v1

SMPTC3: Secure Multi-party Protocol Based Trusted Cross-chain Contracts

Hanyu Mao, Tiezheng Nie, Minghe Yu, Xiaomei Dong, Xiaohua Li, Ge Yu

Subject: Computer Science And Mathematics, Information Systems Keywords: Blockchain; Cross-chain; Multi-party Secure Computation; Security

Online: 30 July 2024 (09:28:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1009.v1

UsingTask Support Requirements During Socio-Technical Systems Design

Andreas Gregoriades, Alistair Sutcliffe

Subject: Computer Science And Mathematics, Information Systems Keywords: Human Factors; Socio-technical Systems; Task Support Requirements; Virtual Reality

Online: 15 July 2024 (15:57:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0802.v1

Smart Governance Tool's Design to Monitor the Commitments of Bio-Business Licensing in Indonesia

Muhammad Mahreza Maulana, Arif Imam Suroso, Yani Nurhadryani, Kudang Boro Seminar

Subject: Computer Science And Mathematics, Information Systems Keywords: smart city; smart governance tool; system design; text summarization; prototype

Online: 10 July 2024 (04:25:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0721.v1

Enterprise Architecture Technology, Controls, and Viewpoints

Tobi Towoju

Subject: Computer Science And Mathematics, Information Systems Keywords: Enterprise Architecture (EA); Governance Architecture; Business Architecture; Information Architecture; Technical Architecture; Business Process Redesign (BPR); COBIT Framework; Lean Methodology; TOGAF Framework; Capgemini; Integrated Architecture Framework (IAF); IT Governance; Risk Management; AI in Enterprise Architecture; Human-Computer Interaction (HCI); Virtual Reality (VR); Augmented Reality (AR); Digital Transformation; Strategic Alignment; Organizational Efficiency

Online: 10 July 2024 (03:27:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0622.v1

Transforming Experiential Learning: The Role of Advanced Human-Computer Interaction Technologies in Modern Education and Hands-On Learning

Tobi Towoju

Subject: Computer Science And Mathematics, Information Systems Keywords: Experiential Learning; Human-Computer Interaction; Virtual Reality; Augmented Reality; Artificial Intelligence; 5G Technology; Haptic Feedback; Educational Technology; Cognitive Learning Theory; Immersive Learning.

Online: 8 July 2024 (11:52:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0353.v1

Real-Time Home Automation System using BCI Technology

Marius Valentin Drăgoi, Ionuț Nisipeanu, Aurel Frimu, Ana Maria Tălîngă, Anton Hadăr, Tiberiu Gabriel Dobrescu, Cosmin Petru Suciu, Andrei Rareș Manea

Subject: Computer Science And Mathematics, Information Systems Keywords: BCI; EEG; Home security; Raspberry PI; Disabled people; Biometric

Online: 4 July 2024 (02:59:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0122.v1

Easy Laundry on Mobile Phone

Wisnu Uriawan, Ahmad Juaeni Yunus, Dimas Arya Nurhakim, Citra Aulia, Ahmad Badru Al Husaeni, Adil Zukhruf Firdaus, Annasrulloh Hidayat

Subject: Computer Science And Mathematics, Information Systems Keywords: Application, Shuttle laundry services,SDLC, Waterfall model, Laravel, Black box testing

Online: 2 July 2024 (10:14:55 CEST)

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In this digital era, laundry applications come as an innovative solution to meet the laundry needs of modern people who often have busy schedules and limited time. This research aims to make a significant contribution to our broader understanding of how digital innovations can revolutionize mundane tasks. This research uses the Waterfall model, which is one of the methods in the Software Development Life Cycle (SDLC). The development process begins with the Requirement Analysis stage, where application requirements and specifications are collected and thoroughly analyzed to ensure that the developed application will meet user expectations. After that, the System Design stage is conducted, where the application architecture, user interface design, and database structure are designed in detail to ensure conformity with the previously identified needs.The next stage is Implementation, where program code is written and application features are developed according to the design that has been made. The final stage is Integration and Testing, where all application components are combined and tested thoroughly to detect and fix any errors or bugs that may exist. The results of this study produced a web-based shuttle laundry service application using the Laravel framework called "All Fresh Laundry". This application can order clothes washing services according to its membership, where there are 3 types of membership based on price and of course have different benefits. In addition, the testing phase of this application using black box testing shows that all menu features function properly according to their functions. Each component of the "All Fresh Laundry" app was thoroughly tested to ensure that no errors or malfunctions occurred. The results of this testing make it clear that every feature, from online ordering to laundry status tracking, works well and meets the specifications that have been set, so that this application can provide an optimal and reliable user experience.

Preprint ARTICLE | doi:10.20944/preprints202407.0082.v1

RnP: Management Information System for Camping Equipment using Agile Method

Wisnu Uriawan, Devi Mulyana, Dika Haekal Firza Pratama, Aghiz Ghifari, Amanda Zulfa Salsabila, Alya Nurul Lathifah, Alfin Nurul Yamin

Subject: Computer Science And Mathematics, Information Systems Keywords: Camping gear rental; accessibility; cashless transactions; transparency; user experience; laravel; vue js

Online: 1 July 2024 (15:03:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.0108.v1

Guardians of the Web: The Evolution and Future of Website Information Security

Md Saiful Islam

Subject: Computer Science And Mathematics, Information Systems Keywords: Artificial intelligence; Public-key cryptography; Blockchain; Quantum computing; Information Security

Online: 1 July 2024 (13:29:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0508.v2

HCI and Data: Interacting in a New Era of Virtualization

Iván Durango, José A. Gallud, Victor M. R. Penichet

Subject: Computer Science And Mathematics, Information Systems Keywords: Human-Data Interaction; Human-Computer Interaction; Big Data; Data virtualization; Data Accessibility; Data Management; Data Privacy; Data Ethics; Data-Driven Decision-Making

Online: 1 July 2024 (08:12:01 CEST)

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The rapid technological progress has ushered in a new era of human-computer interaction, where the distinction between the physical and virtual realms is becoming increasingly blurred. This research paper explores the profound and multifaceted intersection of Human-Data Interaction (HDI) and Data Virtualization (DV), examining how emerging technologies can significantly enhance the exploration, comprehension, and utilization of complex, multidimensional data sets. Informed by the insights gleaned from prior research in this domain , the present study delves into the potential of DV techniques to improve HDI, with a particular focus on three experimental investigations conducted within the realms of education, healthcare, and retail. The findings reveal the benefits and potential challenges associated with the implementation of DV in these diverse contexts, offering valuable guidance for the design and development of future HDI systems. Drawing upon a diverse array of authoritative sources, this paper presents a holistic, forward-looking perspective on the future of HDI, underscoring the critical role that DV will play in shaping the next generation of human-computer interfaces and facilitating a deeper, more intuitive understanding of the digital world. Furthermore, the paper presents a preliminary framework for integrating HDI principles into standard design practices. This framework outlines key considerations and guidelines to help designers and developers incorporate HDI techniques more effectively into the development of data-driven applications and interfaces.The proposed framework outlines key considerations for enhancing data accessibility and comprehension, empowering users to exercise greater control over their data, and cultivating transparent dialogues between data providers and end-users. By establishing this conceptual foundation, the paper aims to facilitate the seamless integration of HDI principles into standard design practices, ultimately leading to more intuitive, user-centric, and ethically-grounded approaches to data interaction and utilization.

Preprint ARTICLE | doi:10.20944/preprints202406.2033.v1

Mechanisms for Securing Autonomous Shipping Services and Machine Learning Algorithms for Misbehaviour Detection

Marwan Haruna, Kaleb Gebremichael Gebremeskel, Martina Troscia, Alexandr Tardo, Paolo Pagano

Subject: Computer Science And Mathematics, Information Systems Keywords: MASS; Autonomous Shipping; SECOM; Machine Learning; ICT; Cybersecurity; Misbehaviour Detection, Shore Control Centre

Online: 28 June 2024 (11:45:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1938.v1

Research on Optimizing Human Resource Expenditure in the Allocation of Materials in Universities

Li Zhao, Ying Wang

Subject: Computer Science And Mathematics, Information Systems Keywords: Task scheduling; integer Programming; multivariate function model

Online: 27 June 2024 (10:58:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1762.v1

The Future of Destruction: Analyzing the Potential Impact of Entropy on Technological Evolution in AGI, Autonomous Drones, and Applied Robotics

Iago Gaspar, Diogo Pedrosa, Duarte Gomes

Subject: Computer Science And Mathematics, Information Systems Keywords: Artificial General Intelligence; AGI; autonomous drones; applied robotics; warfare ethics; entropy metaphor; autonomous decision-making; AI safety; military operations; technology ethics; global stability

Online: 26 June 2024 (11:49:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1622.v1

Digital Genome and Self-Regulating Distributed Software Applications with Associative Memory and Event-Driven History

Rao Mikkilineni, W. Patrick Kelly, Gideon Crawley

Subject: Computer Science And Mathematics, Information Systems Keywords: Distributed Software Application; Digital Genome; Self-Regulation; Autopoiesis; Associative Memory; Event-Driven Interaction History

Online: 24 June 2024 (08:44:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1301.v1

Next generation blockchain technology: The Entropic Blockchain

Melvin M. Vopson, Serban G. Lepadatu, Anna Vopson, Szymon Łukaszyk

Subject: Computer Science And Mathematics, Information Systems Keywords: Information theory; Information entropy; Blockchain; Entropic barcoding

Online: 19 June 2024 (10:59:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1793.v1

A Secure Rubber Supply Chain Management System Based on Hyperledger Fabric Blockchain: A Use Case in Cambodia

Ratanak Keo, Muhammad Firdaus, Kyung-hyune Rhee

Subject: Computer Science And Mathematics, Information Systems Keywords: blockchain; rubber supply chain management; traceability; sustainability; security; privacy-preserving

Online: 28 May 2024 (08:10:44 CEST)

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Conventional traceability systems in Cambodian agriculture, such as Rubber Supply Chain Management (RSCM), often struggle to provide timely data and fair market prices, leading to mistrust among stakeholders, exploitation by intermediaries, and hindering progress towards ethical sourcing and sustainable practices. This research aims to showcase the potential of integrating blockchain technology, the Internet of Things (IoT), the InterPlanetary File System (IPFS), and Differential Privacy (DP) methods to empower Cambodian rubber farmers. By enhancing transparency, facilitating fair pricing, and promoting sustainable methods in the rubber industry, this integrated approach leverages Hyperledger Fabric (HLF) to create a decentralized and secure system for tracking rubber from its source to the end consumer. Integration with IPFS ensures secure and easily accessible data storage, further enhancing the system’s reliability. Additionally, the implementation of differential privacy techniques safeguards confidential data during information sharing among farmers and supply chain stakeholders, minimizing potential privacy concerns. This comprehensive system encourages consumers to make ethical and sustainable alternative options by providing accessible information on harvesting methods, processing procedures, labor conditions, and environmental impacts. The potential benefits extend beyond Cambodia, serving as a model for other developing countries aiming to modernize and enhance the agricultural distribution networks. Our results show that transaction send rates (TPS) and throughput in systems with and without differential privacy grow with increased transaction volumes. However, the system without differential privacy achieves greater scalability and efficiency above a certain threshold. However, it offers a slightly reduced latency, reflecting a trade-off between privacy and performance efficiency in blockchain-based agricultural traceability systems.

Preprint ARTICLE | doi:10.20944/preprints202405.1589.v1

Reading between the Lines: Process Mining on OPC UA Network Data

Markus Hornsteiner, Philip Empl, Timo Bunghardt, Stefan Schönig

Subject: Computer Science And Mathematics, Information Systems Keywords: Process Mining; Industrial Internet of Things; Business Process Management; Industry 4.0

Online: 24 May 2024 (09:40:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1045.v1

Reversal of the Word-Sense Disambiguation Task Using Deep Learning Model

Algirdas Laukaitis

Subject: Computer Science And Mathematics, Information Systems Keywords: word sense disambiguation; natural language processing; WordNet

Online: 15 May 2024 (13:03:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0459.v1

Optimizing Education with Data Analytics: A Feature Comparison of LMS and SIS

Jose Antonio Lagares Rodríguez, Norberto Díaz Díaz, Carlos David Barranco González

Subject: Computer Science And Mathematics, Information Systems Keywords: Adaptive learning; Data Analytics (DA); Education challenges; Learning Analytics; Learning Management Systems (LMS); Learning patterns; Personalised learning; Student performance; Student Engagement; Student Information Systems (SIS)

Online: 8 May 2024 (15:13:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0508.v1

HCI and Data: Interacting in a New Era of Virtualization

Iván Durango Blanco, José Antonio Gallud Lázaro, Victor M. Ruiz Penichet

Subject: Computer Science And Mathematics, Information Systems Keywords: Human-Data Interaction; Human-Computer Interaction; Big Data; Data virtualization; Data Accessibility; Data Management; Data Privacy; Data Ethics; Data-Driven Decision-Making

Online: 8 May 2024 (14:01:28 CEST)

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This article explores the intricate relationship between Human-Data Interaction (HDI) and Data Virtualization (DV), two integral fields that are redefining how we engage with and manage data in the digital age. Positioned at the intersection of technology and user-centric design, this study examines how DV can transcend traditional data management boundaries to significantly enhance data accessibility, legibility, and agency, thus fostering more ethical and meaningful interactions across various sectors. Opening with a detailed exposition on the evolving role of HDI, the paper contextualizes the importance of user-centric data practices within contemporary digital challenges. HDI’s principles are pivotal as they advocate for user empowerment in data interactions, ensuring that data processes are not only transparent but also negotiable and aligned with users’ needs and ethical standards. DV emerges as a transformative solution that inherently supports these principles by integrating diverse data sources into a cohesive and accessible format, thereby eliminating many of the inefficiencies found in conventional data management systems. Through a series of nuanced case studies, the paper provides empirical evidence of DV’s effectiveness across diverse domains. In healthcare, DV facilitates a holistic approach to patient care by providing seamless access to comprehensive medical records, thereby enabling faster, more accurate diagnostic and treatment processes. In the financial sector, DV proves instrumental in enhancing the detection and management of fraud, integrating transactional data across global platforms in real-time to allow for swift, proactive interventions. In education, DV supports personalized learning by synchronizing data from various educational tools, thus allowing for tailored educational experiences that respond dynamically to student performance and engagement metrics. Moreover, the paper critically addresses the ethical considerations and privacy concerns that arise with the integration of HDI and DV, particularly as data interactions become more pervasive and complex. By proposing forward-thinking research directions, it seeks to refine these technologies to better serve societal needs while addressing potential risks and governance issues. In conclusion, this study significantly contributes to the discourse on HDI by advocating for DV as an essential, innovative tool that enhances the clarity, fairness, and efficacy of data interactions. By demonstrating how DV can transform large-scale data sets into user-friendly formats that support decision-making and improve operational efficiencies, the paper underscores DV’s potential to advance a range of industries and enhance the daily lives of individuals interacting with digital systems.

Preprint REVIEW | doi:10.20944/preprints202405.0297.v1

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Yekti Wirani, Imairi Eitiveni, Yudho Giri Sucahyo

Subject: Computer Science And Mathematics, Information Systems Keywords: smart household waste management system; integrated household waste management system; household waste; framework; integrated sustainable waste management; PRISMA

Online: 7 May 2024 (02:43:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0124.v1

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph

Vladyslav Nechakhin, Jennifer D’Souza, Steffen Eger

Subject: Computer Science And Mathematics, Information Systems Keywords: Large Language Models; Open Research Knowledge Graph; Structured Summarization

Online: 2 May 2024 (10:14:36 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1860.v1

Exploring The Model-View-Controller (MVC) Architecture: A Broad Analysis of Market and Technological Applications

Sabina Necula

Subject: Computer Science And Mathematics, Information Systems Keywords: Model-View-Controller (MVC); Software Architecture; Web Development Frameworks; Enterprise Software Applications; AI Integration in Software; Machine Learning and MVC; Educational Tools in Software Engineering; Model-View-ViewModel (MVVM); JavaScript Frameworks; Agile Development

Online: 29 April 2024 (10:25:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1107.v1

Intermediate Judgments and Trust in Artificial Intelligence-Supported Decision-Making

Scott Humr, Mustafa Canan

Subject: Computer Science And Mathematics, Information Systems Keywords: artificial intelligence; decision-making; trust; quantum decision theory; quantum open systems modeling

Online: 18 April 2024 (02:43:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0857.v1

Insights into How to Enhance Container Terminal Operations with Digital Twins

Marvin Kastner, Nicolo' Saporiti, Ann-Kathrin Lange, Tommaso Rossi

Subject: Computer Science And Mathematics, Information Systems Keywords: container terminal; digital twin; emulation; simulation; terminal operations; Delphi study; questionnaire

Online: 12 April 2024 (17:04:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0845.v1

Prototype to Mitigate Risks and Threats for the Closure of Small and Medium-Sized Businesses with the Support of ICT

Anibal AA Altamirano Salazar, Segundo Moisés MT Toapanta Toapanta, Rodrigo RDP Del Pozo Durango, Lenin LA Altamirano Gallegos, José Antonio AOT Orizaga Trejo, Roció RM Maciel Arellano, Elizabeth EO Ordoñez CHavez

Subject: Computer Science And Mathematics, Information Systems Keywords: Information systems; Risk management model; Risk Assessment; Threats and Vulnerabilities; Closure and Bankruptcy of SMEs, Information technologies; Security of the information.

Online: 12 April 2024 (10:41:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0457.v1

Smart Manufacturing and Pro-Environmental Behaviour: A Moderated Serial Mediation Model

Emily Opoku Aboagye-Dapaah, Michael Karikari Appiah, Joshua Caleb Dagadu

Subject: Computer Science And Mathematics, Information Systems Keywords: Smart Manufacturing; Sustainable Production; Environmental Orientation; Green Innovation

Online: 7 April 2024 (05:30:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1611.v1

A Formal Model for Reliable Data Acquisition and Control in Legacy Critical Infrastructures

Jose Miguel Blanco, Jose M. Del Alamo, Juan C. Dueñas, Felix Cuadrado

Subject: Computer Science And Mathematics, Information Systems Keywords: Critical Infrastructure; Water Distribution Network; Formal Model; Digital Transformation; Data Management; Data Security; Data Acquisition

Online: 26 March 2024 (14:35:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0129.v2

DIKW as a General and Digital Twin Action Framework: Data, Information, Knowledge, and Wisdom

Michael Grieves

Subject: Computer Science And Mathematics, Information Systems Keywords: Data; Information; Knowledge; Wisdom; DIKW; Digital Twins; Intelligent Digital Twins; IDT

Online: 4 March 2024 (09:57:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1743.v1

A Fuzzy Synthetic Evaluation Approach to Assess Usefulness of Reviews by considering Bias Inherited in Sentiments and Articulacy

Dimitrios K. Kardaras, Christos Troussas, Stavroula G. Barbounaki, Panagiota Tselenti, Konstantinos Armyras

Subject: Computer Science And Mathematics, Information Systems Keywords: Fuzzy Logic; Sentiment Analysis; Reviews Usefulness; Bias; Cultural Differences; Tourism; Tripadvisor

Online: 29 February 2024 (14:47:20 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.1512.v1

Critical View of Business Architecture: Current and Future State

María Fernanda Díaz Velásquez, Carlos Andrés Tavera Romero, Javier Gamboa-Cruzado, Jesús Hamilton Ortiz Monedero

Subject: Computer Science And Mathematics, Information Systems Keywords: enterprise architecture; business architecture; Industry 4.0; business model; digital transformation; business sustainability; digital economy

Online: 27 February 2024 (09:23:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1204.v1

Extending Fraud Detection in Students Exams Using AI

Georgi Cholakov, Asya Stoyanova-Doycheva

Subject: Computer Science And Mathematics, Information Systems Keywords: e-learning; software agents; fraud detection; artificial intelligence; ChatGPT

Online: 22 February 2024 (01:22:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0989.v1

Implementing Federated Governance in Data Mesh Architecture

Anton Dolhopolov, Arnaud Castelltort, Anne Laurent

Subject: Computer Science And Mathematics, Information Systems Keywords: Decentralized Systems; Federated Governance; Metadata Management; Data Mesh; Blockchain

Online: 19 February 2024 (11:19:34 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0785.v1

Unveiling the Metaverse: A Survey of User Experience, Social Dynamics, and Technological Interoperability

Mousa Al-kfairy, Ayham Alomari, Mahmood G. Al-Bashayreh, Mohammad Tubishat

Subject: Computer Science And Mathematics, Information Systems Keywords: Metaverse; Users Perception; Social Influence; Metaverse Usability; Metaverse Interoperability

Online: 14 February 2024 (10:17:27 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0690.v2

Blockchain in Finance: A Systematic Literature Review

Bulut Karadag, Abdul Halim Zaim, Akhan Akbulut

Subject: Computer Science And Mathematics, Information Systems Keywords: Systematic literature review; blockchain; finance; blockchain Infrastructure

Online: 13 February 2024 (06:15:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0705.v1

IoT and Business Intelligence Based Model Design for Liquefied Petroleum Gas (LPG) Distribution Monitoring

Maximo Giovani Tandazo Espinoza, Byron Ivan Punina Cordova, Ronald Eduardo Tandazo Vanegas

Subject: Computer Science And Mathematics, Information Systems Keywords: Internet of Things; IoT; LPG; sensing approach; Business Intelligence; Liquefied Petroleum Gas

Online: 12 February 2024 (15:38:38 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0690.v1

Blockchain in Finance: A Systematic Literature Review

Bulut Karadag, Abdul Halim Zaim, Akhan Akbulut

Subject: Computer Science And Mathematics, Information Systems Keywords: Systematic literature review; blockchain; finance; blockchain Infrastructure

Online: 12 February 2024 (12:13:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0602.v1

The Improvement of the Use of Open Data in Public Institutions

Besart Hyseni, Lejla Abazi Bexheti

Subject: Computer Science And Mathematics, Information Systems Keywords: Improving use of open data; data utilization; data optimization; enhancing data access; open data impact; open data government; data transparency; data-driven decision making

Online: 12 February 2024 (09:34:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0404.v1

OPTORER: A Dynamic Routing and Touring Service for Indoors and Outdoor Tours

Constantinos Vassilakis, Maria Polychronaki, Dimosthenis Margaritis, Dimitrios G. Kogias, ELENI LELIGKOU

Subject: Computer Science And Mathematics, Information Systems Keywords: Routing service; UX optimization; Thematic tours marketplace; Content Creation; Public Safety and Wellbeing; Dynamic Routing; Smartphones; Wearables

Online: 7 February 2024 (08:00:46 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0424.v1

Forest Supply Chains during Digitalization: Current Implementations and Prospects in Near Future

Teijo Palander, Stelian Alexandru Borz, Timo Tokola, Peter Rauch

Subject: Computer Science And Mathematics, Information Systems Keywords: Data-driven optimization; Dynamics; ERP; Logistics; Simulation; Technology

Online: 7 February 2024 (07:55:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0257.v1

Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks

Ancilon Leuch Alencar, Marcelo Dornbusch Lopes, Anita Maria da Rocha Fernandes, Julio Cesar Santos dos Anjos, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt

Subject: Computer Science And Mathematics, Information Systems Keywords: Convolutional neural network; computer vision; deep learning; digital image forensics; image processing

Online: 5 February 2024 (10:29:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0129.v1

DIKW as a General and Digital Twin Action Framework: Data, Information, Knowledge, and Wisdom

Michael Grieves

Subject: Computer Science And Mathematics, Information Systems Keywords: Data; Information; Knowledge; Wisdom; DIKW; Digital Twins

Online: 2 February 2024 (07:26:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0064.v1

MkRP: Multiple k Registry Placement for Fast Container Deployment on Edge Computing

CHUNGGEON SONG, HEONCHANG YU, Joon-Min Gil

Subject: Computer Science And Mathematics, Information Systems Keywords: container deployment; registry placement; edge computing

Online: 1 February 2024 (12:55:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0023.v1

A Conceptual Framework to Analyze Urban Digital Twins Interoperability

Mamadou Kaba Traoré

Subject: Computer Science And Mathematics, Information Systems Keywords: Urban Digital Twin; Smart City; Smart Territory; Interoperability; High-Level Model

Online: 1 February 2024 (05:43:43 CET)

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Preprint REVIEW | doi:10.20944/preprints202312.2316.v1

The Challenges of Reproducibility for Research Based on Geodata Web Services

Massimiliano Cannata, Maxime Collombin, Olivier Ertz, Gregory Giuliani, Jens Ingensand, Claudio Primerano, Daniele Strigaro

Subject: Computer Science And Mathematics, Information Systems Keywords: open science; geospatial web services; reproducibility; FAIR; interoperability; reproducible research;

Online: 29 December 2023 (13:51:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1495.v1

Predicting Team Well-Being Through Face Video Analysis With AI

Moritz Mueller, Ambre Dupuis, Tobias Zeulner, Ignacio Vazquez, Johann Hagerer, Peter A Gloor

Subject: Computer Science And Mathematics, Information Systems Keywords: Individual well-being; machine learning; non-verbal communication; video analysis; Teamwork; PERMA

Online: 20 December 2023 (09:43:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1444.v1

zk-DASTARK: A quantum-resistant, data authentication and zero-knowledge proof scheme for protecting data feed to smart contracts

Usama Habib Chaudhry, Razi Arshad, Ayesha Khalid, Indranil Gosh Ray, Mehdi Hussain

Subject: Computer Science And Mathematics, Information Systems Keywords: Decentralized Applications; Authenticated Data; Blockchain; Smart Contract; Privacy; Zero Knowledge Proof; zk-STARK; Quantum-Resistant

Online: 19 December 2023 (11:28:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1106.v1

Causal Analysis of Wood Performance Based on Liang-Kleeman Information Flow

Jiahui Huang, Zhufang Kuang, Jingchao Ma, Yixuan Fang

Subject: Computer Science And Mathematics, Information Systems Keywords: wood; mechanical properties; causal influence; Liang-Kleeman information flow;
performance prediction

Online: 14 December 2023 (14:01:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0746.v1

Optimizing Session-Aware Recommenders: A Deep Dive into GRU-Based Latent Interaction Integration

Ming-Yen Lin, Ping-Chun Wu, Sue-Chen Hsueh

Subject: Computer Science And Mathematics, Information Systems Keywords: recommender system; session-aware recommendation; latent-context information; long-term and short-term preference; gated recurrent unit

Online: 12 December 2023 (05:09:10 CET)

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Preprint HYPOTHESIS | doi:10.20944/preprints202311.1640.v1

Virtual Journeys, Real Engagement: Analyzing User Experience in a Virtual Traveling Social Platform

Ana-Karina Nazare, Alin Moldoveanu, Florica Moldoveanu

Subject: Computer Science And Mathematics, Information Systems Keywords: virtual tourism; sustainable tourism; cultural heritage digitization; user engagement; VRRO platform; case study; empirical analysis.

Online: 27 November 2023 (04:29:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1230.v1

Modeling Techno-Economic Wood Procurement from Renewable Forests for the Sustainable Energy Supply of a CHP Plant

Teijo Palander

Subject: Computer Science And Mathematics, Information Systems Keywords: logistics value chain; internal pricing mechanism; emission allowance price; carbon sink; renewable forest; security of wood supply

Online: 21 November 2023 (10:44:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1005.v1

Prioritization of Scheduled Surgeries Using Fuzzy Decision Support and Risk Assessment Methods

Luiza Fabisiak

Subject: Computer Science And Mathematics, Information Systems Keywords: surgical management; safety analysis; support Decision; FMEA; FTOPSIS

Online: 16 November 2023 (03:58:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0752.v1

A Containerized Service-based Integration Framework for Heterogeneous Geospatial Models

Lilu Zhu, Yang Wang, Yunbo Kong, Yanfeng Hu, Kai Huang

Subject: Computer Science And Mathematics, Information Systems Keywords: geospatial models; model integration framework; model servicized structure; prioritization-based orchestration; heuristic scheduling

Online: 13 November 2023 (11:03:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1920.v1

A Study of Reciprocal Job Recommendation for College Graduates Integrating Semantic Keyword Matching and Social Networking

Jinping Yao, Yunhong Xu, Jiaojiao Gao

Subject: Computer Science And Mathematics, Information Systems Keywords: job recommendation; semantic keyword matching; reciprocity; social networks; college graduates

Online: 30 October 2023 (11:05:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0437.v2

PBEMS: A Permissioned Blockchain-based Equipment Maintenance System in Smart Manufacturing

Mohammad Iqbal Saryuddin Assaqty, Ying Gao, Ali Alfatemi, Ashraf Osman Ibrahim, Anas W. Abulfaraj, Faisal Binzagr, Fezan Nabawi, Mohammad Reza Fahlevi

Subject: Computer Science And Mathematics, Information Systems Keywords: blockchain application; permissioned blockchain; equipment maintenance; smart manufacturing

Online: 28 October 2023 (12:47:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1661.v1

Is Short-Term Memory Made of Two Processing Units? Clues from Italian and English Literatures Down Several Centuries

Emilio Matricciani

Subject: Computer Science And Mathematics, Information Systems Keywords: Alphabetical Texts; Human Communication; Human Mind; Information; Linguistic Communication Channels; Miller’s Law; Processing; Sentence Modeling; Short-Term Memory; Universal Readability Index

Online: 25 October 2023 (16:17:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1590.v1

The Role of Digitalization to Achieve Resiliency During Supply Chain Disruptions: Lessons from the Experiences of Family-Owned Austrian Firms During the Covid Pandemic

Deepak Khazanchi, Reinhardt Bernsteiner

Subject: Computer Science And Mathematics, Information Systems Keywords: Digitalization; Supply Chain Disruptions; Digital Supply Chain; Resilience; Best Practices; sustainability

Online: 25 October 2023 (05:25:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1344.v2

Is Automated Consent in Solid GDPR-Compliant? An Approach for Obtaining Valid Consent with the Solid Protocol

Marcu Florea, Beatriz Esteves

Subject: Computer Science And Mathematics, Information Systems Keywords: personal information management systems; Solid; semantic web; data protection; consent

Online: 23 October 2023 (11:14:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0437.v1

PBEMS: A Permissioned Blockchain-based Equipment Maintenance System in Smart Manufacturing

Mohammad Iqbal Saryuddin Assaqty, Ying Gao, Ali Alfatemi, Fezan Nabawi, Mohammad Reza Fahlevi

Subject: Computer Science And Mathematics, Information Systems Keywords: permissioned blockchain; equipment maintenance; smart manufacturing

Online: 8 October 2023 (08:28:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1986.v1

Development and Evaluation of a Natural Language Processing System for curating a Trans-Thoracic Echocardiogram (TTE) database

Tim Dong, Nicholas Sunderland, Angus K. Nightingale, Daniel P Fudulu, Jeremy Chan, Ben Zhai, Alberto Freitas, Massimo Caputo, Arnaldo Dimagli, Stuart Mires, Mike Wyatt, Umberto Benedetto, Gianni Angelini

Subject: Computer Science And Mathematics, Information Systems Keywords: electronic health records; big Data; unstructured data; echo report; echocardiography analysis; natural language processing; data extraction; validation

Online: 28 September 2023 (09:56:28 CEST)

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Background: Although electronic health records (EHR) provide useful insights into disease patterns and patient treatment optimisation, their reliance on unstructured data presents a difficulty. Because of their narrative structure, echocardiography reports, which provide extensive pathology information for cardiovascular patients, are particularly challenging to extract and analyse. Although natural language processing (NLP) has been utilised successfully in a variety of medical fields, it is not commonly used in echocardiography analysis. Objectives: To develop an NLP-based approach for extracting and categorizing data from echocardiography reports by accurately converting continuous (e.g. LVOT VTI, AV VTI, and TR Vmax) and discrete (e.g. Regurgitation severity) outcomes in semi-structured narrative format into structured and categorized format, allowing for future research or clinical use. Methods: 135,062 Trans-Thoracic Echocardiogram (TTE) reports were derived from 146967 baseline Echocardiogram reports and split into three cohorts: Training and Validation (n = 1075), Test Dataset (n = 98) and Application Dataset (n = 133,889). The NLP system was developed and iteratively refined using medical expert knowledge. The system was used to curate a moderate-fidelity database from extractions of 133,889 reports. A hold-out validation set of 98 reports was blindly annotated and extracted by two clinicians for comparison with the NLP extraction. Agreement, discrimination, accuracy and calibration of outcome measure extractions were evaluated. Results: Continuous outcomes including LVOT VTI, AV VTI, and TR Vmax exhibited perfect inter-rater reliability using intra-class correlation scores (ICC=1.00, P< 0.05) alongside high R2 values, demonstrating an ideal alignment between the NLP system and clinicians. Good level (ICC =0.75-0.9, P<0.05) of inter-rater reliability were observed for outcomes such as LVOT Diam, Lateral MAPSE, Peak E Velocity, Lateral E' Velocity, PV Vmax, Sinuses of Valsalva, and Ascending Aorta diameters. Furthermore, the accuracy rate for discrete outcome measures was 91.38% in the confusion matrix analysis, indicating effective performance. Conclusions: The NLP-based technique yielded good results when it came to extracting and categorising data from echocardiography reports. The system demonstrated a high degree of agreement and concordance with clinician extractions. This study contributes to the effective use of semi-structured data by providing a useful tool for converting semi-structured text to structured echo report that can be used for data management. Additional validation and implementation in healthcare settings can improve data availability and support research and clinical decision-making.

Preprint ARTICLE | doi:10.20944/preprints202309.1113.v1

A Solution for Sustainable City Using Multi-Criteria Decision-Making to achieve Sustainable Developmental Goals for Industry 4.0

Akila D, Souvik Pal, Bikramjit Sarkar, Jeyalaksshmi S, Saravanan Muthaiyah, Kalaiarasi Sonai Muthu

Subject: Computer Science And Mathematics, Information Systems Keywords: Sustainable Developmental Goal; Sustainable City; Industry 4.0; Multi-Criteria Decision Making

Online: 18 September 2023 (04:03:00 CEST)

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Due to a shortage of funding and other market challenges, Small and Medium-sized Enterprises (SMEs) have a tough time adopting new technologies. Numerous technological obstacles nega-tively impact the long-term commercial achievement of SMEs. The deployment of Industry 4.0 might resolve several technological challenges. A sustainable city is a difficult structure whose economical, societal, and ecological components interact and compete with one another. There is a dearth of actual methodologies for measuring interaction. The objective of Industry 4.0 is to obtain a better degree of performance effectiveness and profitability, and greater automation. Conse-quently, the purpose of the research is to determine the influence of Industry 4.0 in fostering economic efficiency in small and medium enterprises' sustainability. A Sustainable City using Multi-Criteria Decision Making (SC-MCDM) system is designed in this research to test and achieve sustainable developmental goals. This paper then gives a technique for calculating the interaction between various standards, such as static interactions and dynamical pattern resemblance, as well as the weight variables of every indication generated by the connection. Furthermore, the ap-plication of the suggested technique is proved by assessing the sustainable development goals of twelve Chinese cities within the Triple Bottom Line (TBL) paradigm. From a geographic-temporal viewpoint, spatial variations in city sustainability reveal regional inequalities in sustainability. Indicator scores suggest that the lack of research spending, falling financing in stationary assets, shortage of financial development, and inadequate shared transit are the most significant limiting factors for most communities. Furthermore, the growth of tertiary industries, the improvement of energy performance, the expansion of green areas, and the reduction of pollution emissions are the key driving forces for enhancing sustainability. Compared to other methodologies, Multi-Criteria Decision Making (MCDM) considers the interplay between conditions, which is an excellent way to assess the sustainability of a city. The experimental findings show the impact of MCDM and sustainability to achieve sustainable development goals.

Preprint ARTICLE | doi:10.20944/preprints202309.0978.v1

A Novel Approach for Individual Design Perception based on Fuzzy Inference System Training with YUKI Algorithm

Brahim Benaissa, Masakazu Kobayashi, Keita Kinoshita, Hiroshi Takenouchi

Subject: Computer Science And Mathematics, Information Systems Keywords: Fuzzy Inference System; YUKI algorithm; Affective Design Response

Online: 14 September 2023 (09:46:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0609.v1

Dynamic Canonical Data Model: An Architecture Proposal for the External and Data Loose Coupling for the Integration of Software Units

Juan-Antonio Ruíz-Ceniceros, José-Alfonso Aguilar-Calderón, Carolina Tripp-Barba, Aníbal Zaldívar-Colado

Subject: Computer Science And Mathematics, Information Systems Keywords: Enterprise Application Integration; EAI; Loose Coupling; External Data Coupling; Software Architecture; System Integration; Legacy Systems Integration; Software Units.

Online: 8 September 2023 (13:17:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0078.v2

Real-Time Epidemiology and Acute Care Need Monitoring and Forecasting for COVID-19 via Bayesian Sequential Monte Carlo-leveraged Transmission Models

Xiaoyan Li, Vyom Patel, Lujie Duan, Jalen Mikuliak, Jenny Basran, Nathaniel Osgood

Subject: Computer Science And Mathematics, Information Systems Keywords: COVID-19; Particle Filtering; Machine Learning; Epidemiologic Modeling; Compartmental Model; Projection and Intervention

Online: 7 September 2023 (10:25:49 CEST)

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COVID-19 transmission models have conferred great value in informing public health understanding, planning, and response. However, the pandemic also demonstrated the infeasibility of basing public health decision-making on transmission models with pre-set assumptions. No matter how favourably evidenced when built, a model with fixed assumptions is challenged by numerous factors that are difficult to predict. Ongoing planning associated with rolling back and re-instituting measures, initiating surge planning, and issuing public health advisories can benefit from approaches that allow state estimates for transmission models to be continuously updated in light of unfolding time series. A model being continuously regrounded by empirical data in this way can provide a consistent, integrated depiction of the evolving underlying epidemiology and acute care demand, offer the ability to project forward such a depiction in a fashion suitable for triggering the deployment of acute care surge capacity or public health measures, support quantative evaluation of tradeoffs associated with prospective interventions in light of the latest estimates of the underlying epidemiology. We describe here the design, implementation and multi-year daily use for public health and clinical support decision-making of a particle filtered COVID-19 compartmental model, which served Canadian federal and provincial governments via regular reporting starting in June 2020. The use of the Bayesian Sequential Monte Carlo algorithm of Particle Filtering allows the model to be re-grounded daily and adapt to new trends within daily incoming data – including test volumes and positivity rates, endogenous and travel-related cases, hospital census and admissions flows, daily counts dose-specific vaccinations administered, measured concentration of SARS-CoV-2 in wastewater, and mortality. Important model outputs include estimates (via sampling) of the count of undiagnosed infectives, the count of individuals at different stages of the natural history of frankly and pauci-symptomatic infection, the current force of infection, effective reproductive number, and current and cumulative infection prevalence. Following a brief description of model design, we describe how the machine learning algorithm of particle filtering is used to continually reground estimates of dynamic model state, support probabilistic model projection of epidemiology and health system capacity utilization and service demand and probabilistically evaluate trade-offs between potential intervention scenarios. We further note aspects of model use in practice as an effective reporting tool in a manner that is parameterized by jurisdiction, including support of a scripting pipeline that permits a fully automated reporting pipeline other than security-restricted new data retrieval, including automated model deployment, data validity checks, and automatic post-scenario scripting and reporting. As demonstrated by this multi-year deployment of Bayesian machine learning algorithm of particle filtering to provide industrial-strength reporting to inform public health decision making across Canada, such methods offer strong support for evidence-based public health decision making informed by ever-current articulated transmission models whose probabilistic state and parameter estimates are continually regrounded by diverse data streams.

Preprint REVIEW | doi:10.20944/preprints202309.0293.v1

Revisiting the Probabilistic Latent Semantic Analysis: The Method, Its Extensions and Its Algorithms

Figuera Pau, Garcia Bringas Pablo

Subject: Computer Science And Mathematics, Information Systems Keywords: Probabilistic Latent Semantic Analysis; PLSA

Online: 6 September 2023 (14:55:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1279.v1

A Purely Entity-Based Semantic Search Approach for Document Retrieval

Mohamed Lemine SIDI, Serkan GUNAL

Subject: Computer Science And Mathematics, Information Systems Keywords: Keywords: Information Retrieval; Document Retrieval; Knowledge graphs; Entity-based Search; Entity Linking.

Online: 17 August 2023 (09:47:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1170.v1

Mapping hierarchical file structures to semantic data models for efficient data integration into research data management systems

Henrik Tom Wörden, Florian Spreckelsen, Stefan Luther, Ulrich Parlitz, Alexander Schlemmer

Subject: Computer Science And Mathematics, Information Systems Keywords: research data management; FAIR; file structure; file crawler; semantic data model

Online: 16 August 2023 (11:05:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1036.v1

Generalized Rough Neighborhood Approximations and Related Topological Approaches

Amgad Salem Salama, Abdelfattah A. El-Atik, Ali Hussein Salem, Osamy Embaby, Mona Samy Bondok

Subject: Computer Science And Mathematics, Information Systems Keywords: Topological Approximation Spaces; Rough Sets, Nj-neighborhood; Ej-neighborhood; M_(j )–neighborhood

Online: 15 August 2023 (02:42:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0517.v1

Tourism Industry Monitoring Service Based on Analysis of Informational Web Resources

Olga A. Nikolaychuk, Dmitriy E. Kosogorov, Yulia V. Pestova, Alexander I. Pavlov

Subject: Computer Science And Mathematics, Information Systems Keywords: tourism monitoring; tourist profile of the territory; ontology; collection of data from open sources; analysis of reviews; web service; cloud platform

Online: 8 August 2023 (08:39:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1697.v1

Zakat Al Fitr Management and Information System using Agile Software Development Lifecycle

Wisnu Uriawan, Faizal Ramadhan, Haikal Azhar, Dian Hasna, Farzan Argani

Subject: Computer Science And Mathematics, Information Systems Keywords: zakat Aplication; Agile; management system

Online: 26 July 2023 (11:19:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1364.v1

Continuous Mapping of Covering Approximate Space and Topology Induced by Arbitrary Covering Relation

Xiao Shang, Pei Wang, Huo Rong Wu, Yu Han E

Subject: Computer Science And Mathematics, Information Systems Keywords: n/a; covering approximation space; covering rough continuous mapping; relation; topology.

Online: 20 July 2023 (09:55:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1344.v1

`I Consent to These Terms’: A Legal and Technical Approach for Obtaining Valid Consent in Solid

Marcu Florea, Beatriz Esteves

Subject: Computer Science And Mathematics, Information Systems Keywords: personal information management systems; solid; semantic web; data protection; consent

Online: 19 July 2023 (11:46:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1233.v1

Computing the Sound-Sense Harmony - in the poetic works by William Shakespeare and Francis Webb

Rodolfo Delmonte

Subject: Computer Science And Mathematics, Information Systems Keywords: SPARSAR = Specialized NLP system for English Poetry organized into ten feeding modules and over twenty dictionaries; Automatic Analysis of English Poems; Visualization of Linguistic and Poetic Content; Creating Clusters of Boxes of Different Dimension one for each poem according to linguistic content and positioning each box in a space; Computing Sound-Sense Harmony; Comparing Phonetic and Phonological Features with Meaning; Automatic Lexical and Semantic Sentiment Analysis of Poetry; Appraisal Theory Framework.

Online: 18 July 2023 (12:24:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1133.v1

Artificial Intelligence (AI)-Based Solution to Malaria Fatalities In Africa: An Exploratory Review

Ignatius Ogbaga

Subject: Computer Science And Mathematics, Information Systems Keywords: Artificial Intelligence (AI), Malaria prevention, Early detection, Personalized interventions, Ethical considerations

Online: 18 July 2023 (08:59:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1001.v3

Addressing the Limitations of News Recommendation System: Incorporating User Demographic for Enhanced Personalization

Zerihun Olana Asefa, Admas Abtew

Subject: Computer Science And Mathematics, Information Systems Keywords: news recommendation system; cold start problem; hybrid approach; demographic information; new users; popular news

Online: 18 July 2023 (07:42:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1117.v1

Design and Analysis of Query Models Database Preservation Information Systems Digitization of History and Endowments; Case Study of History and Waqf of Sumedang Larang Kingdom Indonesia

R. Sudrajat, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Rahmat Budiarto

Subject: Computer Science And Mathematics, Information Systems Keywords: history; endowments; query model; digital data; physical data

Online: 17 July 2023 (15:11:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1001.v2

Addressing the Limitations of News Recommendation System: Incorporating User Demographic for Enhanced Personalization

Zerihun Olana Asefa, Admas Abtew

Subject: Computer Science And Mathematics, Information Systems Keywords: News Recommendation system, Cold start Problem, Hybrid Approach, Demographic information, New Users, Popular News

Online: 17 July 2023 (10:55:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1001.v1

Addressing the Limitations of News Recommendation System: Incorporating User Demographic for Enhanced Personalization

Zerihun Olana Asefa, Admas Abtew

Subject: Computer Science And Mathematics, Information Systems Keywords: news recommendation system; cold start problem; hybrid approach; demographic information; new users; popular news

Online: 14 July 2023 (11:08:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1041.v2

Enhancing Microsoft 365 Security: Integrating Digital Forensics Analysis to Detect and Mitigate Adversarial Behavior Patterns

Marshall S. Rich

Subject: Computer Science And Mathematics, Information Systems Keywords: Microsoft 365; digital forensics analysis; adversarial behavior patterns; cybersecurity; malicious login attempts; data breaches; compromised email addresses; pattern recognition; cloud-based environments

Online: 3 July 2023 (13:13:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2269.v1

A Longitudinal Analysis of Cyber Adversarial Tactics and Techniques

Marshall S. Rich

Subject: Computer Science And Mathematics, Information Systems Keywords: Behavioral Analysis; Behavioral Score; Cybersecurity; Data Analytics; Geographic Analysis; Longitudinal Study; Model Recalibration; Network Anomaly Detection; Organizational Analysis; Threat Intelligence

Online: 30 June 2023 (16:16:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2200.v1

Noise Analyses of Accelerometers Using Allan Variance for Industrial Equipment Vibration Diagnostic

Ihor Turkin, Viacheslav Leznovskyi, Andrii Zelenkov, Agil Nabizade, Lina Volobuieva, Viktoriia Turkina

Subject: Computer Science And Mathematics, Information Systems Keywords: Internet of things; digital platform; vibration diagnostics; calibration; accelerometer; industrial equipment; Allan variance

Online: 30 June 2023 (11:23:28 CEST)

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The subject of study in the article is the method of industrial equipment vibration diagnostics using Allan variance. The goal is to increase the precision and accuracy of industrial equipment's vibration diagnostics processes by developing and implementing IoT-oriented solutions based on intelligent sensors and actuators per the IEEE 1451.0-2007 standard. Tasks: justify the feasibility of using platform-oriented technologies for vibration diagnostics of industrial equipment and choose a cloud service for the implementation of the platform; develop software and hardware solutions of the IoT platform for vibration diagnostics of industrial equipment; calibrate the vibration diagnostics system and check the measurement precision and accuracy. The methods used are the microservice approach, multilevel architecture, and assessing equipment state-based Allan variance. We obtained the following results. The architecture of the IoT system for vibration diagnostics of industrial equipment developed and presented in the article is three-level. The level of autonomous sensors provides readings of vibration acceleration indicators and transmits data to the Hub level, which is implemented based on a BeagleBone single-board microcomputer through the BLE digital wireless data transmission channel. BeagleBone computing power provides work with artificial intelligence algorithms. At the third level of the server platform, the tasks of diagnosing and predicting the condition of the equipment are solved, for which the Dictionary Learning algorithm implemented in the Python programming language is applied. Verifying the accelerometer calibration method for vibration diagnostics of industrial equipment was performed using a unique stand. Correct operation of the entire system is confirmed by the coincidence of expected and measured results. In the next step, we plan the development of additional microservices that will provide the possibility of using time series analysis methods and modern artificial intelligence technologies for complex diagnostics and forecasting of the equipment state.

Preprint REVIEW | doi:10.20944/preprints202306.2152.v1

Artificial Intelligence for the design of bottom up/Top down of Organizations, funding for sustainable Research and Start-Up developments

Lucia V. Gontero Bracamonte, Angel Guillermo Bracamonte

Subject: Computer Science And Mathematics, Information Systems Keywords: Artificial Intelligence; encrypted currency; economy; sustainable development; Education and Critical Thinking; Research and Education; Science and Diplomacy; Technology Transfer

Online: 30 June 2023 (07:27:15 CEST)

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This brief communication intends to develop critical thinking on the development at different levels that could be evaluated in the well-being of humans from the local development towards a global scale or planetary point of view. Therefore it was presented and discussed how Artificial Intelligence tools could provide important contributions and influence in the design of critical thinking to develop ideas and insights within Research as well as funding for technology transfer. In this context it should be highlighted that the generation of funding and economy for sustainability that it should be based on critical thinking and analysis of what is need it from the close surrounding towards longer distances as well as in the inversed direction. In this regard, the main axes that support it are based on the importance of entailment of individuals in their close surrounding as well as to longer physical distances and cultural differences. An in this context it should be highlighted the existence of large diversity and varied Multicultural differences. These factors could affect the developments of technology, education; level, and quality of life. Thus the Economical and development indexes could be largely varied and different between them. For this reason it should highlighted the local development within shortened times by interacting to receive or provide materials with aggregated value or non-tangible values. Therefore, it could be accelerated the process of improvement in a targeted field looking for average homogeneous development everywhere. And there, it is where the link-up and transfer strategies of technology and education by creation of varied strategies in communication media. As for example the communication plays an important role to transfer knowledge within the different social status and imagining the development of thinking that later it will be the basis for the next generation of technology. By this manner, it could be coupled different levels of educations degrees by a factor in common related with curiosity and open minds to learn, work, and live together in the context of developments of new smart manners of living where economy and new encrypted currency are involucred and provide by different manners sustainability. In these perspectives the development and education at the University and higher degrees taking into account the transmission of important factors such as; i) entailment , ii) development of knowledge, and iii) transference, is fundamental. Finally, it should be highlighted the particular need of good human relationships, emotional intelligence, and diplomacy to afford from the simplest challenges to the higher ones.

Preprint ARTICLE | doi:10.20944/preprints202306.1661.v1

Internet Wizard for Enhancing Open Domain Question Answering Chatbot Knowledge-base in Education

Kovan Mzwri, Márta Turcsányi-Szabo

Subject: Computer Science And Mathematics, Information Systems Keywords: Chatbots; Dynamic knowledge base; Internet wizard; Search engine integration; Google Feature snippets; Open-domain question-answering chatbot; Knowledge graph; Student engagement; Higher education

Online: 23 June 2023 (11:02:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1041.v1

Enhancing Microsoft 365 Security: Integrating Digital Forensics Analysis to Detect and Mitigate Adversarial Behavior Patterns

Marshall S. Rich

Subject: Computer Science And Mathematics, Information Systems Keywords: Microsoft 365; digital forensics analysis; adversarial behavior patterns; cybersecurity; malicious login attempts; data breaches; compromised email addresses; pattern recognition; cloud-based environments

Online: 14 June 2023 (10:08:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0323.v1

Utilizing Text Mining for Labeling Training Models from Futures Corpus in Generative AI

Hsien-Ming Chou, Tsai-Lun Cho

Subject: Computer Science And Mathematics, Information Systems Keywords: text mining; semantic analysis; labeling bull-bear words; futures corpus; generative AI

Online: 5 June 2023 (13:18:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0107.v1

A New RSA Variant Based on Elliptic Curves

Maher Boudabra, Abderrahmane Nitaj

Subject: Computer Science And Mathematics, Information Systems Keywords: Public key Cryptography; RSA; KMOV; Demytko’s scheme; Elliptic curves; Continued fractions; Coppersmith’s method.

Online: 1 June 2023 (15:37:57 CEST)

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Computer Science and Mathematics