Defining the Middle Corona.

The middle corona, the region roughly spanning heliocentric distances from 1.5 to 6 solar radii, encompasses almost all of the influential physical transitions and processes that govern the behavior of coronal outflow into the heliosphere. The solar wind, eruptions, and flows pass through the region, and they are shaped by it. Importantly, the region also modulates inflow from above that can drive dynamic changes at lower heights in the inner corona. Consequently, the middle corona is essential for comprehensively connecting the corona to the heliosphere and for developing corresponding global models. Nonetheless, because it is challenging to observe, the region has been poorly studied by both major solar remote-sensing and in-situ missions and instruments, extending back to the Solar and Heliospheric Observatory (SOHO) era. Thanks to recent advances in instrumentation, observational processing techniques, and a realization of the importance of the region, interest in the middle corona has increased. Although the region cannot be intrinsically separated from other regions of the solar atmosphere, there has emerged a need to define the region in terms of its location and extension in the solar atmosphere, its composition, the physical transitions that it covers, and the underlying physics believed to shape the region. This article aims to define the middle corona, its physical characteristics, and give an overview of the processes that occur there.

Bibliometric Analysis (2000-2024) of Research on Artificial Intelligence in Nursing.

We conducted a bibliometrics analysis utilizing the Web of Science database, selecting 1925 articles concerning artificial intelligence (AI) in nursing. The analysis utilized the network visualization tool VOSviewer to explore global collaborations, highlighting prominent roles played by the United States, China, and Japan, as well as institutional partnerships involving Columbia University and Harvard Medical School. Keyword analysis identified prevalent themes and co-citation analysis highlighted influential journals. A notable increase in AI-related publications in nursing was observed over time, reflecting the growing interest in AI in nursing. However, high-quality clinical research and increased scientific collaboration are needed.

Scale of Assessment of Caregiver Care Burden of People With Dementia: A Systematic Review of Literature.

Cases of dementia have increased significantly in recent years. The family represents the main cornerstone of assistance to the elderly suffering from dementia, in particular the caregiver. Family members who take on the role of caregiver are subjected to physical, psychological, emotional, social and financial stress, which can be conceptualised with the term "burden". The aim of this study was to investigate which tools are best suited to measure the type of burden based on the type of dementia for each caregiver. A literature search was undertaken in MEDLINE, CINHAL and The Cochrane Database in September 2022, including articles from the last 20 years and using a combination of keywords and defined inclusion criteria. This literature review has been performed according to the PRISMA statement. From a total of 116 articles regarding the use of burden rating scales for caregivers, 18 scales were selected. The review provides a useful overview of burden assessment scales, classified into three categories, one-dimensional, multidimensional, or distinct concept with a subjective and objective component, in order to adopt appropriate strategies to assess caregiver burden and improve the quality of their health, both in the community and in hospitals. Indeed, the domestic context is the most studied as there is a greater risk of developing the burden of the caregiver: for this reason, some scales include the assessment of both the caregiver and the patient receiving treatment.

The Social and Professional Image of the Nurse: Results of an Online Snowball Sampling Survey among the General Population in the Post-Pandemic Period.

Background. The COVID-19 pandemic has transformed people's lifestyles by imposing social, economic, and labor changes. Health professionals have been in the spotlight, occasionally even elevated to the status of "heroes", as they have been at the forefront of the health emergency. Media exposure has undoubtedly played a pivotal role in the evolution and perception of the public's image of nurses, especially within the Italian context. Currently, there is only one study conducted in Italy during the pandemic period. For this reason, we have opted to delve further into this subject during the post-pandemic period, with the ultimate goal of identifying this perceptual evolution. Methods. An online snowball sampling survey was conducted among the Italian population using social networks between August 2022 and January 2023. The survey utilized the Nursing Attitude Questionnaire (NAQ) to collect data. Results. The sample consisted of 564 individuals. Among the respondents, 63.8% (n = 360) were familiar with the nursing pathway, and the level of agreement regarding the training of nurses was 81.5% (n = 260). In terms of recognizing the professional role of nurses, variations emerged in certain domains of the NAQ. Specifically, professional values of nurses were more pronounced in northern and central Italy (M = 26.27). Moreover, stereotypes were more prevalent in the north (23.73 ± 3.538) and the center (23.13 ± 4.104) (p = 0.001). Conclusions. The sample acknowledged a unique competence inherent to nurses that cannot be replaced by other professionals. The study population perceives the nursing profession as pivotal within the IHS (Integrated Health System). However, the attractiveness of the profession remains exceedingly low. This study was not registered on a publicly available registry.