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  1. AU="Mazzini, Silvia"
  2. AU=MacDonald Vicki E
  3. AU="Yu, Fuli"
  4. AU=Xiang Fangfei
  5. AU="Negm, H. M."
  6. AU="Bloch, Stephen"
  7. AU="Arroyo, Alonso"
  8. AU="Duxbury, Darren"
  9. AU="Sahoo, Anusmita"
  10. AU="Ohnishi, Toshiyuki"
  11. AU="Engelhardt, John F"
  12. AU="Pike, J Wesley"
  13. AU="Heijdra Suasnabar, Jan M"
  14. AU="Galanaud, Damien"
  15. AU="Edmison, Anna"
  16. AU="Hall, Charles B"

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  1. Artikel ; Online: Delirium Diagnosis, Complication Recognition, and Treatment Knowledge among Nurses in an Italian Local Hospital: A Cross-Sectional Study.

    Ceccarelli, Andrea / Ballarin, Maddalena / Montalti, Marco / Ceccarelli, Paola / Mazzini, Silvia / Minotti, Alice / Gori, Davide / Senni, Marco

    Nursing reports (Pavia, Italy)

    2024  Band 14, Heft 2, Seite(n) 767–776

    Abstract: Delirium, a multifactorial condition with an acute onset and diverse clinical manifestations, poses a significant challenge in the care of hospitalized individuals aged 65 years and older. This study aimed to evaluate the level of knowledge among nursing ...

    Abstract Delirium, a multifactorial condition with an acute onset and diverse clinical manifestations, poses a significant challenge in the care of hospitalized individuals aged 65 years and older. This study aimed to evaluate the level of knowledge among nursing healthcare personnel regarding the diagnosis, recognition of complications, and treatment of delirium. A paper questionnaire consisting of 18 multiple-choice questions was distributed to nurses in twelve operational units located in four facilities within a local hospital in a specific geographical region under the jurisdiction of the Romagna Local Health Authority in Italy. Out of 194 respondents, the overall acceptance rate was 64.2%. The findings revealed an insufficient understanding of delirium among the nursing staff, with more than 40% of respondents answering incorrectly to five out of nine questions related to delirium knowledge, diagnosis, prevention, and treatment. Notably, gender emerged as a significant determinant, with female participants exhibiting a substantial odds ratio (OR) of 3.50 (
    Sprache Englisch
    Erscheinungsdatum 2024-03-27
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ISSN 2039-4403
    ISSN (online) 2039-4403
    DOI 10.3390/nursrep14020059
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Buch ; Online: A domain-specific modeling and analysis environment for complex IoT applications

    Ihirwe, Felicien / Di Ruscio, Davide / Mazzini, Silvia / Pierantonio, Alfonso

    2021  

    Abstract: To cope with the complexities found in the Internet of Things domain, designers and developers of IoT applications demand practical tools. Several model-driven engineering methodologies and tools have been developed to address such difficulties, but few ... ...

    Abstract To cope with the complexities found in the Internet of Things domain, designers and developers of IoT applications demand practical tools. Several model-driven engineering methodologies and tools have been developed to address such difficulties, but few of them address the analysis aspects. In this extended abstract, we introduce CHESSIoT, a domain-specific modeling environment for complex IoT applications. In addition, the existing supported real-time analysis mechanism, as well as a proposed code generation approach, are presented
    Schlagwörter Computer Science - Software Engineering ; Computer Science - Programming Languages
    Erscheinungsdatum 2021-09-19
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel: Healthcare Service Quality Evaluation in a Community-Oriented Primary Care Center, Italy.

    Ceccarelli, Andrea / Minotti, Alice / Senni, Marco / Pellegrini, Luca / Benati, Giuseppe / Ceccarelli, Paola / Federici, Andrea / Mazzini, Silvia / Reali, Chiara / Sintoni, Francesco / Gori, Davide / Montalti, Marco

    Healthcare (Basel, Switzerland)

    2023  Band 11, Heft 17

    Abstract: Community-oriented primary care (COPC) is an inclusive healthcare approach that combines individual care with a population-based outlook, striving to offer effective and equitable services. This study concentrates on assessing the perceived quality of a " ...

    Abstract Community-oriented primary care (COPC) is an inclusive healthcare approach that combines individual care with a population-based outlook, striving to offer effective and equitable services. This study concentrates on assessing the perceived quality of a "Casa della Comunità" (CdC) implemented by the Romagna Local Health Authority, which embraces the COPC model. Through the examination of user experiences, the study aims to comprehend the influence of the CdC's care delivery model on the community's perception of service quality. From 13-18 March 2023, paper questionnaires were distributed by trained healthcare professionals and volunteers. The cross-sectional study enrolled participants aged 18 or older, capable of understanding written Italian, and willing to take part voluntarily. A total of 741 questionnaires were collected, resulting in an overall acceptance rate of 85.6%. Among the respondents, 37.9% were female, with an average age of 55.4 ± 16.2 years. While the respondents generally held a positive view of the quality, the results displayed varying levels of satisfaction across the different areas. Multivariate analysis revealed significant associations between factors such as gender, employment status, financial resources, education level, and distance from the healthcare center with the perceived quality of the facility in terms of accessibility, environment, staff, continuity of care, and overall satisfaction. The study yielded valuable insights, identifying strengths and areas for improvement and underscoring the importance of ongoing monitoring studies to enhance patient satisfaction continuously.
    Sprache Englisch
    Erscheinungsdatum 2023-08-25
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare11172396
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Buch ; Online: Model-based analysis support for dependable complex systems in CHESS

    Ihirwe, Felicien / Mazzini, Silvia / Pierini, Pierluigi / Debiasi, Alberto / Tonetta, Stefano

    2020  

    Abstract: The challenges related to dependable complex systems are heterogeneous and involve different aspects of the system. On one hand, the decision-making processes need to take into account many options. On the other hand, the design of the system's logical ... ...

    Abstract The challenges related to dependable complex systems are heterogeneous and involve different aspects of the system. On one hand, the decision-making processes need to take into account many options. On the other hand, the design of the system's logical architecture must consider various dependability concerns such as safety, reliability, and security. Moreover, in case of high-assurance systems, the analysis of such concerns must be performed with rigorous methods. In this paper, we present the new development of CHESS, a cross-domain, model-driven, component-based, and open-source tool for the development of high-integrity systems. We focus on the new recently distributed version of CHESS, which supports extended model-based development and analyses for safety and security concerns. Finally, we present contributions of CHESS to several international research projects.

    Comment: 10 pages, 11 figures
    Schlagwörter Computer Science - Software Engineering ; Computer Science - Programming Languages
    Thema/Rubrik (Code) 005
    Erscheinungsdatum 2020-09-13
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Buch ; Online: Low-code Engineering for Internet of things

    Ihirwe, Felicien / Di Ruscio, Davide / Mazzini, Silvia / Pierini, Pierluigi / Pierantonio, Alfonso

    A state of research

    2020  

    Abstract: Developing Internet of Things (IoT) systems has to cope with several challenges mainly because of the heterogeneity of the involved sub-systems and components. With the aim of conceiving languages and tools supporting the development of IoT systems, this ...

    Abstract Developing Internet of Things (IoT) systems has to cope with several challenges mainly because of the heterogeneity of the involved sub-systems and components. With the aim of conceiving languages and tools supporting the development of IoT systems, this paper presents the results of the study, which has been conducted to understand the current state of the art of existing platforms, and in particular low-code ones, for developing IoT systems. By analyzing sixteen platforms, a corresponding set of features has been identified to represent the functionalities and the services that each analyzed platform can support. We also identify the limitations of already existing approaches and discuss possible ways to improve and address them in the future.

    Comment: 8 pages, 3 figures, 1 table
    Schlagwörter Computer Science - Software Engineering ; Computer Science - Programming Languages
    Erscheinungsdatum 2020-09-03
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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