Progression of Rhinitis to Rhinosinusitis: A Cohort Study

Introduction: Chronic rhinitis (CR) and rhinosinusitis are prevalent conditions affecting people all over the world. Their exact relationship is still not fully understood. We sought to find out, whether CR is a risk factor for chronic rhinosinusitis (CRS) and which main subgroup or other factors could be predisposing. Methods: Patients with diagnosed CR between 2005 and 2010 were selected from the electronic medical record and were contacted by phone call. They were interviewed and screened for possible CRS using internationally approved questionnaires, e.g. NOSE-D and SNOT-20-GAV. Those with elevated scores were invited for a clinical examination. Results: Of 113 patients available for statistical analysis (48/65 = f/m), mean age of 52 ± 15 years, 13 patients were diagnosed with CRS. Extrapolated for the total cohort of 334, calculated prevalence was 9.5%. No statistical significantly higher probability of developing CRS for either main subgroup of CR was found. Age of onset, prior surgery of the nose, and use of topical nasal treatments were associated with the development of CRS in multivariate analyses (OR = 0.1, 3.2, and 3.2, respectively). Discussion/conclusions: Only a small number of rhinitis patients developed CRS, questioning the paradigm of CR being a clear risk factor for CRS. Keywords: Age of onset; Chronic rhinitis; Chronic rhinosinusitis with/without polyps; Disease burden; Risk factor

Celebrating Economies of Change: Brave Visions for Inclusive Futures

This issue has been inspired by a path-breaking conference held by the Canadian Society for Ecologi-cal Economics (CANSEE), which took place this past May 2019 in Waterloo, Ontario. Entitled Engaging Economies of Change, the conference aimed to ex-pand existing research networks in the economy-environment nexus by building connections beyond the academy in order to meaningfully engage with the practicalities of building and implementing change. This issue captures the rich content shared during the event, as well as descriptions of the pro-cesses and efforts made to create a welcoming and respectful space where academics and community activists could build alliances and discuss common challenges. The conference organizers – all graduate students and activists themselves -- called this ‘building a brave space’.This research was supported by the Social Sciences and Humanities Research Council of Canad

Patients’ experiences of safety in a hospital learning department:A qualitative study

Objectives: This study aimed to explore experiences of the safety of hospital-admitted patients in learning departments where students and nurses provide care together. Methods: This general qualitative explorative study was conducted in a University Medical Center in the Netherlands. Patients admitted to a learning department were purposefully sampled. Semi-structured individual interviews were conducted. Data was collected between February and April 2021. Thematic analysis was used to analyse the data. Results: Five main themes emerged after interviewing patients (n = 13): having accountable nurses, trust through autonomy and support, taking time to communicate, a safe learning environment with backup, and being unaware of being in a learning department. All patients indicated that they feel safe in a learning department. Conclusion: Patients felt safe being admitted to a learning department and experienced no differences in feeling safe between nurses and students. Patients can feel safer in the department if they are informed in advance that they have been admitted to a learning department, so they are aware of the presence of students

Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers

Major internet service providers have built and are currently building the world's largest data centres (DCs), which has already resulted in significant global energy consumption. Energy saving measures, from chip to building level, have been introduced gradually in recent decades. However, there is further potential for savings by assessing the performance of different DCs on a wider scale and evaluating information technology (IT) workload distribution strategies among these DCs. This paper proposes a methodology to optimize the electricity consumption and CO2 emissions by distributing IT workload across multiple imaginary DCs. The DCs are modelled and controlled in a virtual test environment based on a building energy simulation (BES) tool (TRNSYS). A controller tool (Matlab) is used to support testing and tuning of the optimization algorithm. A case study, consisting of the distribution of IT workload across four different types of data centers in multiple locations with different climate conditions, is presented. The case study will illustrate.</p

Experienced career perspectives of nursing students and their supervisors in learning departments:a qualitative study

Due to the nursing shortage, positive work environments are needed to retain (student) nurses. More and attractive internships for students need to be ensured. In order to provide more internship places learning departments were developed, which are characterized by a buddy system and supervisors who coaches at least two students during a shift. Gaining knowledge about career perspectives and job satisfaction is essential within the context of learning departments, as both will contribute to quality and safety of care and will support lifelong learning. The current study aimed to investigate how nurses and nursing students working and learning in learning departments experience preconditions for career opportunities

Optimizing the total energy consumption and CO₂ emissions by distributing computational workload among worldwide dispersed data centers

Major internet service providers have built and are currently building the world's largest data centres (DCs), which has already resulted in significant global energy consumption. Energy saving measures, from chip to building level, have been introduced gradually in recent decades. However, there is further potential for savings by assessing the performance of different DCs on a wider scale and evaluating information technology (IT) workload distribution strategies among these DCs. This paper proposes a methodology to optimize the electricity consumption and CO2 emissions by distributing IT workload across multiple imaginary DCs. The DCs are modelled and controlled in a virtual test environment based on a building energy simulation (BES) tool (TRNSYS). A controller tool (Matlab) is used to support testing and tuning of the optimization algorithm. A case study, consisting of the distribution of IT workload across four different types of data centers in multiple locations with different climate conditions, is presented. The case study will illustrate.</p

Using Goal- and Grip-Related Information for Understanding the Correctness of Other’s Actions: An ERP Study

Detecting errors in other’s actions is of pivotal importance for joint action, competitive behavior and observational learning. Although many studies have focused on the neural mechanisms involved in detecting low-level errors, relatively little is known about error-detection in everyday situations. The present study aimed to identify the functional and neural mechanisms whereby we understand the correctness of other’s actions involving well-known objects (e.g. pouring coffee in a cup). Participants observed action sequences in which the correctness of the object grasped and the grip applied to a pair of objects were independently manipulated. Observation of object violations (e.g. grasping the empty cup instead of the coffee pot) resulted in a stronger P3-effect than observation of grip errors (e.g. grasping the coffee pot at the upper part instead of the handle), likely reflecting a reorienting response, directing attention to the relevant location. Following the P3-effect, a parietal slow wave positivity was observed that persisted for grip-errors, likely reflecting the detection of an incorrect hand-object interaction. These findings provide new insight in the functional significance of the neurophysiological markers associated with the observation of incorrect actions and suggest that the P3-effect and the subsequent parietal slow wave positivity may reflect the detection of errors at different levels in the action hierarchy. Thereby this study elucidates the cognitive processes that support the detection of action violations in the selection of objects and grips

Waterontzouting door omgekeerde osmose in de tuinbouw

Brochure om meer kennis en achtergrondinformatie omtrent waterontzouting te verschaffe