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Keywords = opinion injection strategies

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11 pages, 228 KiB  
Article
Current Practice and Perspectives on Subcutaneous Immunoglobulin Replacement Therapy in Patients with Primary Antibody Deficiency Among Specialized Nurses in Poland
by Dorota Mizera, Radosław Dziedzic, Anna Drynda, Aleksandra Matyja-Bednarczyk, Agnieszka Padjas, Magdalena Celińska-Löwenhoff, Bogdan Jakieła and Stanisława Bazan-Socha
Nurs. Rep. 2024, 14(4), 3280-3290; https://doi.org/10.3390/nursrep14040238 - 1 Nov 2024
Viewed by 1192
Abstract
Background/Objectives: Inborn errors of immunity (IEI) encompass various congenital disorders, resulting in immunity defects and recurrent infections. Home-based subcutaneous immunoglobulin replacement therapy (scIgRT) is the best treatment option for those with primary antibody deficiency (PAD). However, the lack of standardized procedures in patient [...] Read more.
Background/Objectives: Inborn errors of immunity (IEI) encompass various congenital disorders, resulting in immunity defects and recurrent infections. Home-based subcutaneous immunoglobulin replacement therapy (scIgRT) is the best treatment option for those with primary antibody deficiency (PAD). However, the lack of standardized procedures in patient training remains a challenge. Our study investigates nurses’ practice and perspectives, aiming to identify areas for improvement in at-home scIgRT practice. Methods: We prepared a structured survey regarding scIgRT, including needle choice experience and perception of adverse events, and distributed it among qualified nurses involved in patient training and scIgRT supervising. Results: We included 56 nurses with a median age of 50 years. Among them, 67.9% represented adult care providers, while 32.1% supervised IgRT in children. Most respondents (83.9%) used the classic or assisted with hyaluronidase scIgRT preparations. Single-channel needles were administered most commonly (85.7%). The needle length was mostly chosen solely by a nurse (57.1%) or in cooperation with the patient (23.2%). Next, 9 mm and 12 mm needles were used most often (92.9% and 78.6%, respectively). As expected, the 6 mm needle was more frequently applied for children compared to adults (n = 16, 88.9% vs. n = 11, 28.9%, p < 0.001), while 12 mm was primarily used in adults (n = 35, 92.1% vs. n = 9, 50.0%, p < 0.001). Visual skin fold assessment was the basis for the needle selection (58.9%), followed by the injection site rule (26.8%) or a choice between two available needle types for thinner or thicker patients (25.0%). Results of this survey indicate that, according to nurses’ opinions presented in this survey, the needle length could be associated with local scIgRT adverse events, such as side needle leakage or local burning. Yet, it was likely unrelated to general adverse signs, such as headaches or dizziness. Most respondents (66.1%) indicated that, even if local adverse events occur, patients are reluctant to change scIgRT preparation or needle length. Most participants (69.6%) reported that the optimal administration technique needs to be discussed with the patient before and during scIgRT. Conclusions: This study sheds light on scIgRT practice in Poland, emphasizing deficiency in needle selection technique. Future research should focus on standardized training and advanced needle selection procedures on patient outcomes, investigating the correlation between needle strategies and adverse events, as well as the effectiveness of scIgRT. Full article
(This article belongs to the Special Issue Nursing in the World of Rare Diseases)
20 pages, 591 KiB  
Article
Differential Private Federated Learning in Geographically Distributed Public Administration Processes
by Mirwais Ahmadzai and Giang Nguyen
Future Internet 2024, 16(7), 220; https://doi.org/10.3390/fi16070220 - 23 Jun 2024
Cited by 2 | Viewed by 1324
Abstract
Public administration frequently deals with geographically scattered personal data between multiple government locations and organizations. As digital technologies advance, public administration is increasingly relying on collaborative intelligence while protecting individual privacy. In this context, federated learning has become known as a potential technique [...] Read more.
Public administration frequently deals with geographically scattered personal data between multiple government locations and organizations. As digital technologies advance, public administration is increasingly relying on collaborative intelligence while protecting individual privacy. In this context, federated learning has become known as a potential technique to train machine learning models on private and distributed data while maintaining data privacy. This work looks at the trade-off between privacy assurances and vulnerability to membership inference attacks in differential private federated learning in the context of public administration applications. Real-world data from collaborating organizations, concretely, the payroll data from the Ministry of Education and the public opinion survey data from Asia Foundation in Afghanistan, were used to evaluate the effectiveness of noise injection, a typical defense strategy against membership inference attacks, at different noise levels. The investigation focused on the impact of noise on model performance and selected privacy metrics applicable to public administration data. The findings highlight the importance of a balanced compromise between data privacy and model utility because excessive noise can reduce the accuracy of the model. They also highlight the need for careful consideration of noise levels in differential private federated learning for public administration tasks to provide a well-calibrated balance between data privacy and model utility, contributing toward transparent government practices. Full article
(This article belongs to the Special Issue Information and Future Internet Security, Trust and Privacy II)
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8 pages, 667 KiB  
Proceeding Paper
Upscaling Reputation Communication Simulations
by Viktoria Kainz, Céline Bœhm, Sonja Utz and Torsten Enßlin
Phys. Sci. Forum 2022, 5(1), 39; https://doi.org/10.3390/psf2022005039 - 26 Dec 2022
Viewed by 1188
Abstract
Social communication is omnipresent and a fundamental basis of our daily lives. Especially due to the increasing popularity of social media, communication flows are becoming more complex, faster and more influential. It is therefore not surprising that in these highly dynamic communication structures, [...] Read more.
Social communication is omnipresent and a fundamental basis of our daily lives. Especially due to the increasing popularity of social media, communication flows are becoming more complex, faster and more influential. It is therefore not surprising that in these highly dynamic communication structures, strategies are also developed to spread certain opinions, to deliberately steer discussions or to inject misinformation. The reputation game is an agent-based simulation that uses information theoretical principles to model the effect of such malicious behavior taking reputation dynamics as an example. So far, only small groups of 3 to 5 agents have been studied, whereas now, we extend the reputation game to larger groups of up to 50 agents, also including one-to-many conversations. In this setup, the resulting group dynamics are examined, with particular emphasis on the emerging network topology and the influence of agents’ personal characteristics thereon. In the long term, the reputation game should thus help to determine relations between the arising communication network structure, the used communication strategies and the recipients’ behavior, allowing us to identify potentially harmful communication patterns, e.g., in social media. Full article
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16 pages, 586 KiB  
Article
Benchmarking Cost-Effective Opinion Injection Strategies in Complex Networks
by Alexandru Topîrceanu
Mathematics 2022, 10(12), 2067; https://doi.org/10.3390/math10122067 - 15 Jun 2022
Cited by 3 | Viewed by 2412
Abstract
Inferring the diffusion mechanisms in complex networks is of outstanding interest since it enables better prediction and control over information dissemination, rumors, innovation, and even infectious outbreaks. Designing strategies for influence maximization in real-world networks is an ongoing scientific challenge. Current approaches commonly [...] Read more.
Inferring the diffusion mechanisms in complex networks is of outstanding interest since it enables better prediction and control over information dissemination, rumors, innovation, and even infectious outbreaks. Designing strategies for influence maximization in real-world networks is an ongoing scientific challenge. Current approaches commonly imply an optimal selection of spreaders used to diffuse and indoctrinate neighboring peers, often overlooking realistic limitations of time, space, and budget. Thus, finding trade-offs between a minimal number of influential nodes and maximizing opinion coverage is a relevant scientific problem. Therefore, we study the relationship between specific parameters that influence the effectiveness of opinion diffusion, such as the underlying topology, the number of active spreaders, the periodicity of spreader activity, and the injection strategy. We introduce an original benchmarking methodology by integrating time and cost into an augmented linear threshold model and measure indoctrination expense as a trade-off between the cost of maintaining spreaders’ active and real-time opinion coverage. Simulations show that indoctrination expense increases polynomially with the number of spreaders and linearly with the activity periodicity. In addition, keeping spreaders continuously active instead of periodically activating them can increase expenses by 69–84% in our simulation scenarios. Lastly, we outline a set of general rules for cost-effective opinion injection strategies. Full article
(This article belongs to the Special Issue Complex Network Modeling: Theory and Applications)
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26 pages, 2418 KiB  
Review
A Comprehensive Overview of Hydrogen-Fueled Internal Combustion Engines: Achievements and Future Challenges
by Zbigniew Stępień
Energies 2021, 14(20), 6504; https://doi.org/10.3390/en14206504 - 11 Oct 2021
Cited by 228 | Viewed by 34322
Abstract
This paper provides a comprehensive review and critical analysis of the latest research results in addition to an overview of the future challenges and opportunities regarding the use of hydrogen to power internal combustion engines (ICEs). The experiences and opinions of various international [...] Read more.
This paper provides a comprehensive review and critical analysis of the latest research results in addition to an overview of the future challenges and opportunities regarding the use of hydrogen to power internal combustion engines (ICEs). The experiences and opinions of various international research centers on the technical possibilities of using hydrogen as a fuel in ICE are summarized. The advantages and disadvantages of the use of hydrogen as a solution are described. Attention is drawn to the specific physical, chemical, and operational properties of hydrogen for ICEs. A critical review of hydrogen combustion concepts is provided, drawing on previous research results and experiences described in a number of research papers. Much space is devoted to discussing the challenges and opportunities associated with port and direct hydrogen injection technology. A comparison of different fuel injection and ignition strategies and the benefits of using the synergies of selected solutions are presented. Pointing to the previous experiences of various research centers, the hazards related to incorrect hydrogen combustion, such as early pre-ignition, late pre-ignition, knocking combustion, and backfire, are described. Attention is focused on the fundamental importance of air ratio optimization from the point of view of combustion quality, NOx emissions, engine efficiency, and performance. Exhaust gas scrubbing to meet future emission regulations for hydrogen powered internal combustion engines is another issue that is considered. The article also discusses the modifications required to adapt existing engines to run on hydrogen. Referring to still-unsolved problems, the reliability challenges faced by fuel injection systems, in particular, are presented. An analysis of more than 150 articles shows that hydrogen is a suitable alternative fuel for spark-ignition engines. It will significantly improve their performance and greatly reduce emissions to a fraction of their current level. However, its use also has some drawbacks, the most significant of which are its high NOx emissions and low power output, and problems in terms of the durability and reliability of hydrogen-fueled engines. Full article
(This article belongs to the Special Issue Hydrogen-Fuelled Spark-Ignition Engines)
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