Notes

Escherichia coli type-1 fimbriae are generally necessary to defeat first bottlenecks associated with contamination on low-dose inoculation within a porcine model of cystitis.
The total score of the IES-R scale was 3.47. A significant association emerged between exposure and the risk of contagion (p-value = 0.003), stress was more present among nurses than among physicians (77.5% vs. 67.4%; p = 0.003). Among physical symptoms, headache (52.2%; n=402) and pressure injuries (24.8% n= 191) prevailed.

The results of the study show that mental health monitoring of health workers, who are at risk of developing major psychological disorders, is a priority.
The results of the study show that mental health monitoring of health workers, who are at risk of developing major psychological disorders, is a priority..
Little is known about the students' engagement in the training experience and how it is lived by the health professional students. We aim at building a theoretical model of the engagement process starting from their lived experiences with Grounded Theory approach.

In-depth qualitative interviews are conducted with 12 students from the Master Degree Courses in Nursing, Physiotherapy and Prevention Techniques in the environment and in the workplace, who had carried out and/or were doing internships in the same territory (2nd and 3rd year). Results The health professions' student engagement in the training program is developed in three main phases initial phase, central phase and final phase, where emotions, behaviours, awareness contribute to the development of the entire engagement process with different relevance. The intertwining of these different components that develop along the stages of the experience gives life to the core category growing through relationship, which expressed the crucial role of the relational network built during the internship experience in shaping students' engagement.

The results of this study underline the crucial role of students' engagement in the internship experience in favouring both better learning outcomes and perspective professional success and wellbeing. (www.actabiomedica.it).
The results of this study underline the crucial role of students' engagement in the internship experience in favouring both better learning outcomes and perspective professional success and wellbeing. (www.actabiomedica.it).
The Covid-19 pandemic has clearly impacted the Italian healthcare system. The growing number of patients in critical conditions has required a reorganization of the hospitals wards and of other healthcare structures, by changing the working routines of health professionals. The aim of the study is to explore if and how the nursing care towards Covid-19 positive patients have changed during the pandemic.

Qualitative study with a phenomenological approach conducted through semi-structured interviews. Interviews have been carried out during the months of October and November 2020. 3BDO Our research involved 21 nursing professionals attending post-graduate courses at the Department of Medicine and Surgery of the University of Parma (academic year 2019/2020) and who have worked during the pandemic period in health services structures and organizations.

The interviews showed how, during the period of the pandemic emergency, the care relationship between nurses and patients has changed because of the priority givenn before Covid-19, nursing was already in part denoted by a loss of caring, a missed nursing care.
Understanding the patient's experience of mental illness can foster better support for this population and greater partnership with healthcare professionals. This study aims to explore the application of visual methods in the psychiatric field and, in particular, the experience of people suffering from psychotic disorders because it is still an open question that has not been only partially empirically examined.

This qualitative study was conducted using two visual methods (auto-photography and photo-elicitation) associated with the narrative that emerged from an unstructured interview, in a clinical setting of adult Mental Health in Italy, between October 2019 and February 2020. A total of 5 patients and 5 corresponding referring healthcare professionals were identified and enrolled. Patients were asked to produce photographs following 4 thematic areas "Fun", "Time", "Something indispensable", "Place where I feel good".

A total of 85 photographs were produced. Visual methods have proved to be a useful technique in qualitative research in the area of adult psychiatry. From the interviews, it emerged that visual methods have allowed psychotic patients to use a new language to be able to communicate their emotions.

The healthcare professionals involved also confirm the potential of this tool which, when combined with the traditional interview, is able to deepen the patient's knowledge by overcoming the verbal barriers that often make it difficult to reconstruct the individual experience of illness.
The healthcare professionals involved also confirm the potential of this tool which, when combined with the traditional interview, is able to deepen the patient's knowledge by overcoming the verbal barriers that often make it difficult to reconstruct the individual experience of illness.
Interprofessional collaboration in the healthcare sector contributes to the delivery of high quality and safe services to patients across different subdivisions of the healthcare system which is faced with constant challenges. The international literature offers a plethora of tools for assessing the collaboration between health workers, but only a few of these have been validated in the Italian language. One that has undergone such validation is the interprofessional collaboration (IPC) scale, which measures the perception of collaboration among health professionals. An advantage of this scale is that is addresses all workers within the system, and is not limited to specific professions. The aim of the present study was to apply the validated Italian version of the IPC scale, to a context different to the one used for its validation, to measure the level of collaboration between different health care workers.

A questionnaire-based study was conducted on a sample consisting of 329 health professionals workn version of the IPC scale provides a useful instrument for measuring interprofessional collaboration between workers in the healthcare sector. In the present study, it revealed a satisfactory level of collaboration between health professionals in an organization located in Emilia Romagna, Italy.
The main purpose of the study is to investigate the experience of nurses who worked in the Covid-19 area focusing on the perception of their role. In particular, has been explored the nurses' perception of job satisfaction in relation to the images sent back by public opinion through the mass media and social communication channels. During the first wave of Covid-19 nurses have acquired media visibility, but their feeling is represented more by the discomfort of finding themselves suddenly glorified in the face of a lack of professional, social, and economic recognition.

A Mix-Method methodology and convenience sampling was adopted, on the population of professionals and students in post-graduate specializations,belonging to the Department of Medicine and Surgery of the University of Parma, and by nurses from the ASST-Bergamo Asst Bergamo Est, Lombardia Italy, who worked in the Covid emergency during the first wave of the pandemic, from February 2020 to May 2020. In the quantitative phase Stamm's Professivorably on Compassion Satisfaction, while keeping Compassion Fatigue levels under control.In this paper, we propose an adaptation of a protocol for a tool's validation. We have utilized this phases-theory to validate in Italian language an instrument to assess Quality of Life for people with moderate or mild dementia. We will explain the example of our Italian validation of DEMQoL-Proxy considering each De Vellis's phase. We will explain our application of De Vellis's model to Italian example described. For the first three phases, we reproduced the original validating study in which authors (Smith et al., 2005) defined what to measure, how generate a set of items and the structure of the scale. Indeed, for the last five phases we explained the adaptation of De Vellis's model to Italian validation. We hope that this model could be effective to validating goals, for researchers and in particular for all professionals who deal with caregivers and patients with moderate and mild dementia. Furthermore, the measurement of the Quality of Life makes the scale widely useful within the various professional specialties and setting. Finally, thanks to the methodological assumptions adopted following the De Vellis's eight-phase model, we can affirm that this first Italian pre-validation of the DEMQoL-Proxy seems to be an excellent forerunner for its effective validation in the Italian context.Reply to letter.Huge progress in scientific research, added to vast investments, have allowed to develop vaccines against the virus responsible for Sars-Cov-2 in times unimaginable, until recently (1). The use of these vaccines has documented their high efficacy and very low risk of adverse events. Undergoing vaccination campaigns around the world are changing the history of the COVID-19 pandemic. Never before has scientific research been a topic of widespread interest as in this period. [...].The temperature response to anthropogenic global warming and forest cover changes is dependent on regional climatic characteristics. It is challenging to segregate the impacts of the two anthropogenic changes on local temperatures and heatwaves over complex mountainous regions. Here we present estimates of regional and local heat stress responses to the recent global climate change and local forest cover loss in complex terrain in the Himalayas using a satellite-based high-resolution land-surface temperature dataset. We find large-scale decreasing trends in the observed frequency of heatwaves and heat days, and localized increases in urbanized and high-elevation regions. Our results show large-scale significant decreasing trends in annual maximum and mean surface temperatures over the period 2003-2019. link2 In locations that have witnessed large-scale forest losses, the declines in the surface temperatures were steeper compared to no-loss regions. We develop a regional multiple linear regression model to estimate the regional and local temperature responses to global climatic change and to segregate them from the response to forest cover losses. Our model estimates a regional decrease of about 2.0 °C in annual maximum temperature over the recent 2003-2019 period, which is locally modulated by the extent of urbanization, forest cover, and elevation. At the locations of intense deforestation, our model successfully predicts a steeper decrease in maximum surface temperature, and estimates the temperature response due to forest loss, after controlling for elevation and initial forest cover. The local cooling effect due to deforestation was reaffirmed by comparing the regions with contrasting forest cover losses. link3 The results suggest that forest clearing amplifies the anthropogenic climate change over the region.The current linear "take-make-waste-extractive" model leads to the depletion of natural resources and environmental degradation. Circular Economy (CE) aims to address these impacts by building supply chains that are restorative, regenerative, and environmentally benign. This can be achieved through the re-utilization of products and materials, the extensive usage of renewable energy sources, and ultimately by closing any open material loops. Such a transition towards environmental, economic and social advancements requires analytical tools for quantitative evaluation of the alternative pathways. Here, we present a novel CE system engineering framework and decision-making tool for the modeling and optimization of food supply chains. First, the alternative pathways for the production of the desired product and the valorization of wastes and by-products are identified. Then, a Resource-Task-Network representation that captures all these pathways is utilized, based on which a mixed-integer linear programming model is developed.
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