To maintain the continuous functionality of e-participation systems and foster user trust, robust cybersecurity measures are essential, safeguarding privacy and deterring scams, harassment, and the spread of misinformation. This paper's proposed model investigates the moderating impact of cybersecurity protection mechanisms and citizen education levels on the relationship between VSN diffusion and e-participation initiatives. Furthermore, this research model is investigated across various phases of e-participation (e-information, e-consultation, and e-decision-making) and the five facets of cybersecurity (legal, technical, organizational, capacity development, and interoperability). Improvements in VSN use, fueled by strengthened cybersecurity and public awareness, have noticeably increased e-participation, most noticeably in e-consultation and e-decision-making, showcasing the diverse importance of cybersecurity measures across the three stages of e-participation. In summary, due to the recent concerns about platform manipulation, the dissemination of misinformation, and data breaches related to VSN use in e-participation, this study highlights the necessity for regulations, policies, partnerships, technical frameworks, and research to assure cybersecurity, and further emphasizes the importance of education to support effective engagement in e-participation initiatives. ultrasound in pain medicine Using a research model built upon the Protection Motivation Theory, Structuration Theory, and Endogenous Growth Theory, this study examines data from 115 countries, which were publicly available. Recognizing the significance of both theoretical and practical implications, and acknowledging inherent limitations, this paper suggests future research trajectories.

The purchase and sale of real estate typically involves a lengthy process, requiring significant effort, numerous intermediaries, and the payment of substantial fees. Blockchain technology offers the real estate sector a dependable system for monitoring transactions, thereby fortifying trust among the involved parties. Although blockchain technology has potential advantages, its use in real estate transactions is still in a very early stage. Subsequently, we explore the determinants of blockchain technology acceptance among real estate purchasers and vendors. Based on the combined efficacy of the unified theory of technology acceptance and use model and the technology readiness index model, a research model was conceptualized. The data gathered from 301 real estate buyers and sellers was analyzed with the partial least squares method. In relation to blockchain integration, the study posits that real estate stakeholders' success hinges upon prioritizing psychological elements above purely technological concerns. This study's findings enhance the existing knowledge base on blockchain technology in real estate, offering practical recommendations for stakeholders.

The upcoming, potentially ubiquitous, computing model, the Metaverse, has the capacity to change numerous facets of societal work and life experiences. Though the metaverse is anticipated to yield considerable advantages, its potential for harm remains largely uncharted, with the current discourse primarily rooted in logical extrapolations from precedents set by analogous technologies, consequently lacking substantial academic and expert perspectives. Leading academics and experts from diverse disciplinary backgrounds offer informed and multifaceted narratives, thereby responding to the pessimistic perspectives in this study. Analyzing the darker aspects of the metaverse, we identify concerns regarding vulnerabilities in technology and consumer protection, privacy violations, the potential for diminished reality, human-computer interface issues, identity theft, intrusive advertising, misinformation, propaganda, phishing schemes, financial crimes, terrorist activities, abuse, pornography, concerns regarding social inclusion, mental health effects, potential for sexual harassment, and unforeseen negative outcomes linked to the metaverse. The paper's concluding section synthesizes recurring themes, formulates propositions, and elucidates practical and policy implications.

There has been long-standing recognition of ICT's position as a prime driver in achieving sustainable development goals (SDGs). Hepatoid adenocarcinoma of the stomach This paper examines the impact of information and communication technology (ICT) on the relationship between gender (in)equality (SDG 5) and income inequality (SDG 10). ICT, as an institutional actor, is examined through the lens of the Capabilities Approach, which elucidates the relationships between ICT, gender disparity, and income inequality. A cross-lagged panel analysis is undertaken in this study, using 86 countries' publicly available archival data from 2013 to 2016. A key contribution of this research is the exposition of the link between (a) ICT usage and gender disparity, and (b) gender disparities and income discrepancies. Cross-lagged panel data analysis is employed to advance our understanding of the evolving relationships among information and communication technologies (ICT), gender equality, and income inequality. Our findings hold implications for both research and application, which are elaborated upon in the following sections.

In light of the arrival of innovative procedures for improving machine learning (ML) transparency, traditional decision-support-oriented information systems necessitate an update to their approach in providing more usable insights for practitioners. The multifaceted approach to decision-making in humans, coupled with insights gained from group-level machine learning model interpretations, might not always lead to consistent results when applied to individual interventions. By merging established predictive and explainable machine learning methods, this study formulates a hybrid machine learning framework for decision support systems. The framework aims to anticipate human decisions and develop personalized interventions. This framework seeks to deliver useful insights, enabling the development of personalized interventions. A large and comprehensive integrated dataset, encompassing freshman college students' demographics, education, finances, and socioeconomic backgrounds, provided the context for a study on the issue of student attrition. Feature importance scores were compared at both the group and individual levels. The results show that although group-level insights can be helpful in altering long-term plans, applying them as a standardized approach to designing and executing individual interventions typically yields unsatisfactory outcomes.

Data sharing and intercommunication across systems are facilitated through semantic interoperability. This study introduces an ostensive information architecture for healthcare systems, aiming to reduce ambiguity arising from the diverse application of signs in different contexts. The ostensive information architecture, built upon consensus principles, initially stems from information systems re-design principles, and can be generalized to other sectors with needs for inter-system information exchange. In response to challenges encountered during the implementation of FHIR (Fast Health Interoperability Resources), a supplementary lexical approach to semantic exchange is presented, differing from the existing paradigm. Through the utilization of Neo4j, a semantic engine is developed around an FHIR knowledge graph to offer semantic interpretation and illustrative examples. Employing the MIMIC III (Medical Information Mart for Intensive Care) datasets and diabetes datasets, the effectiveness of the proposed information architecture was shown. In information system design, we further analyze the advantages of segregating semantic interpretation and data storage, along with the semantic reasoning that anchors patient-centric care, driven by the Semantic Engine.

Our lives and societal well-being can be substantially enhanced by the immense power of information and communication technologies. Digital spaces, unfortunately, have become hotbeds for misleading information and hate speech, intensifying societal divisions and jeopardizing the fabric of society. Acknowledged in the literature, this dark aspect of polarization, alongside the socio-technical character of fake news, necessitates a unique strategy to understand its intricacies. In light of this sophistication, this research employs complexity theory and a configurational design to investigate the consequences of diverse disinformation campaigns and hate speech on societies prone to polarization across 177 countries by way of a multi-country analysis. The results showcase the irrefutable influence of disinformation and hate speech in creating polarized societies. By examining internet censorship and social media monitoring, the study arrives at a balanced conclusion that these actions are perhaps indispensable in combating disinformation and controlling polarization, but it also highlights the potential for these actions to inadvertently encourage an environment ripe with hate speech, thus increasing the very polarization they are meant to address. The theoretical and practical implications are elaborated upon.

The Black Sea's salmon farming operation, concentrated within the winter months, is limited to a seven-month period, hampered by the high water temperatures prevalent during the summer. To ensure consistent salmon growth throughout the year, a strategy of temporary cage submersion during the summer months may be considered. This research sought to compare the economic performance of submerged and surface cages employed in Turkish Black Sea salmon farming, evaluating structural costs and returns. The temporary submersion of the cages yielded a remarkable 70% rise in economic profits, reflecting improved financial indicators, including a significant net profit increase to 685,652.5 USD per year and a substantially higher margin of safety (896%), as opposed to the traditional surface cage method (397,058.5 USD annual net profit and 884% margin of safety). click here Both cage system profits, according to the What-if analysis, were affected by variations in sale price. The simulation projecting a 10% reduction in export market value predicted reduced revenues, and the submerged cage encountered less financial loss than its surface counterpart.