3,100 research outputs found

    Enhancing healthcare services through cloud service: a systematic review

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    Although cloud-based healthcare services are booming, in-depth research has not yet been conducted in this field. This study aims to address the shortcomings of previous research by analyzing all journal articles from the last five years using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) systematic literature review methodology. The findings of this study highlight the benefits of cloud-based healthcare services for healthcare providers and patients, including enhanced healthcare services, data security, privacy issues, and innovative information technology (IT) service delivery models. However, this study also identifies challenges associated with using cloud services in healthcare, such as security and privacy concerns, and proposes solutions to address these issues. This study concludes by discussing future research directions and the need for a complete solution that addresses the conflicting requirements of the security, privacy, efficiency, and scalability of cloud technologies in healthcare

    Digital transformation in food supply chains: an implementation framework

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    Purpose Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA). Design/methodology/approach A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research. Findings The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation. Originality/value The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully

    THE IMPACT OF HUMAN-CENTRIC LIGHTING PARAMETERS ON OLDER ADULT’S PERCEPTION, AND COGNITIVE PERFORMANCE

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    Population aging is a prominent demographic challenge. Older adults face increased risks of sleep dysfunctions, depression, and cognitive impairments due to physical, biological, and psychological factors associated with aging. These behavioral issues elevate safety risks at home, which necessitates the transition to assisted living facilities. Extensive research highlights the influence of healthcare environmental design, particularly related to architectural lighting impacts on residents' well-being and quality of life. To optimize older adults' health and well-being, it is essential to consider both the visual and non-visual effects of architectural lighting. Visual impacts include parameters related to task performance and visual acuity, while non-visual impacts may include outcomes such as circadian rhythm regulation, sleep quality, mood enhancement, and cognitive performance, thereby emphasizing the importance of implementing a holistic conceptual approach to human-centric lighting in indoor environments.While existing gerontology studies have primarily focused on light-level attributes, such as radiant flux, illuminance, and equivalent melanopic lux, there has been limited exploration of spectral and spatial pattern parameters in indoor lighting. The primary objective of this research is to investigate the impact of both quantitative and qualitative aspects of lighting design, including spatial layout characteristics such as uniformity, direction, centrality, and spectral attributes like correlated color temperature (CCT), on the visual perception, preference, mood, cognitive performance, and overall well-being of older adults in assisted living facilities. The study employed a multi-method approach across three main research phases. In phase I, a Q-sort survey involving 60 participants assessed the impact of diverse spatial light patterns on visual perception and preference. In phase II, a within-subject design evaluated the cognitive performance of 32 older adults in similar lighting scenarios within real and virtual environments. Lastly, in phase III, the study examined the relationship between spatial and spectral light patterns and cognitive performance through virtual reality testing with 32 participants. Results revealed significant effects of different spatial light patterns on older adults' environmental impressions, including visual preference, stress levels, and cognitive performance. Uniform and indirect lighting were preferred, with no substantial differences between peripheral and central spatial arrangements of light layers. Non-uniform lighting induced a relaxed impression, while uniform lighting heightened perceived stress. Furthermore, the study demonstrated the suitability of virtual reality environments (VR) for assessing cognitive performance and subjective perception. The findings underscore the substantial influence of spatial and spectral light patterns on the cognitive performance of older adults in assisted living facilities. This research contributes to the understanding of the visual and non-visual effects of human-centric lighting on the well-being of older adults. By considering spatial and spectral light attributes, designers can enhance cognitive function, reduce impairments, and cultivate healthier and more efficient living environments

    E-learning in the Cloud Computing Environment: Features, Architecture, Challenges and Solutions

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    The need to constantly and consistently improve the quality and quantity of the educational system is essential. E-learning has emerged from the rapid cycle of change and the expansion of new technologies. Advances in information technology have increased network bandwidth, data access speed, and reduced data storage costs. In recent years, the implementation of cloud computing in educational settings has garnered the interest of major companies, leading to substantial investments in this area. Cloud computing improves engineering education by providing an environment that can be accessed from anywhere and allowing access to educational resources on demand. Cloud computing is a term used to describe the provision of hosting services on the Internet. It is predicted to be the next generation of information technology architecture and offers great potential to enhance productivity and reduce costs. Cloud service providers offer their processing and memory resources to users. By paying for the use of these resources, users can access them for their calculations and processing anytime and anywhere. Cloud computing provides the ability to increase productivity, save information technology resources, and enhance computing power, converting processing power into a tool with constant access capabilities. The use of cloud computing in a system that supports remote education has its own set of characteristics and requires a unique strategy. Students can access a wide variety of instructional engineering materials at any time and from any location, thanks to cloud computing. Additionally, they can share their materials with other community members. The use of cloud computing in e-learning offers several advantages, such as unlimited computing resources, high scalability, and reduced costs associated with e-learning. An improvement in the quality of teaching and learning is achieved through the use of flexible cloud computing, which offers a variety of resources for educators and students. In light of this, the current research presents cloud computing technology as a suitable and superior option for e-learning systems

    INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools

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    Introduction Population health data integration remains a critical challenge in low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy and decision-making. This paper proposes a pan-African, Findable, Accessible, Interoperable, and Reusable (FAIR) research architecture and infrastructure named the INSPIRE datahub. This cloud-based Platform-as-a-Service (PaaS) and on-premises setup aims to enhance the discovery, integration, and analysis of clinical, population-based surveys, and other health data sources. Methods The INSPIRE datahub, part of the Implementation Network for Sharing Population Information from Research Entities (INSPIRE), employs the Observational Health Data Sciences and Informatics (OHDSI) open-source stack of tools and the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to harmonise data from African longitudinal population studies. Operating on Microsoft Azure and Amazon Web Services cloud platforms, and on on-premises servers, the architecture offers adaptability and scalability for other cloud providers and technology infrastructure. The OHDSI-based tools enable a comprehensive suite of services for data pipeline development, profiling, mapping, extraction, transformation, loading, documentation, anonymization, and analysis. Results The INSPIRE datahub's “On-ramp” services facilitate the integration of data and metadata from diverse sources into the OMOP CDM. The datahub supports the implementation of OMOP CDM across data producers, harmonizing source data semantically with standard vocabularies and structurally conforming to OMOP table structures. Leveraging OHDSI tools, the datahub performs quality assessment and analysis of the transformed data. It ensures FAIR data by establishing metadata flows, capturing provenance throughout the ETL processes, and providing accessible metadata for potential users. The ETL provenance is documented in a machine- and human-readable Implementation Guide (IG), enhancing transparency and usability. Conclusion The pan-African INSPIRE datahub presents a scalable and systematic solution for integrating health data in LMICs. By adhering to FAIR principles and leveraging established standards like OMOP CDM, this architecture addresses the current gap in generating evidence to support policy and decision-making for improving the well-being of LMIC populations. The federated research network provisions allow data producers to maintain control over their data, fostering collaboration while respecting data privacy and security concerns. A use-case demonstrated the pipeline using OHDSI and other open-source tools

    Challenges of Cloud Computing in Jordanian Govt.: Insights from Telcos

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    Cloud computing offers many benefits to governments, including increased efficiency, flexibility, and cost savings. However, there are also significant challenges to adopting cloud computing services. In the case of the Jordanian government, some of these challenges include concerns about data security and privacy, lack of technical expertise, limited funding and resources, and cultural resistance to change. This paper examines the challenges faced by the Jordanian government in adopting cloud computing services and evaluates their impact on government institutions. The study collected data from three local telecommunications companies in Jordan to identify potential challenges and assess their significance through a questionnaire. The results indicated challenges that negatively affected cloud adoption, including performance, usability, and cost, as well as challenges that positively impacted adoption. Maintenance and information security challenges were rated as the most significant challenges. The study recommends promoting awareness, offering training programs, and conducting feasibility studies to overcome these challenges and improve cloud adoption. Future research should expand the study sample and investigate additional challenges impacting government organizations’ adoption of cloud computing services

    UMSL Bulletin 2023-2024

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    The 2023-2024 Bulletin and Course Catalog for the University of Missouri St. Louis.https://irl.umsl.edu/bulletin/1088/thumbnail.jp

    Multidisciplinary perspectives on Artificial Intelligence and the law

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    This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio
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