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Exploring reflexive methodology as a pluralist approach to enhance mixed methods research on coping and livability among LGBTQ people in Sweden
The article explores the use of reflexive methodology to enhance mixed methods queer psychological research in Sweden, by analysing data from a qualitative research project on how LGBTQ people cope with minority stress from four epistemological perspectives. A descriptive, hermeneutically and phenomenologically inspired analysis showed that coping should be understood from temporal perspective, wh
Drought Offsets the Controls on Colored Dissolved Organic Matter in Lakes
The concentration of colored dissolved organic matter (CDOM) in lakes is strongly influenced by climate, land cover, and topographic settings, but it is not known how drought may affect the relative importance of these controls. Here, we evaluate the controls of CDOM during two summers with strongly contrasting values of the Palmer drought index (PDI), indicating wet vs. dry conditions. We hypothe
Thick-billed Murres in breeding pairs migrate and overwinter far apart but in similar photic environments
Scheduling between mates in species with long-term pair bonds can be essential for positive fitness. The annual cycle in photoperiod is the primary environmental cue used by many animals to synchronize behavior and physiology among members of a population, and animals that migrate must have similar annual schedules to ensure successful breeding. However, we know little about whether members of mat
Storage Assignment Using Nested Metropolis Sampling and Approximations of Order Batching Travel Costs
The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing the SLAP such that it is not tied to certain order-picking methodologies, constraints, or warehouse layouts. We propose the OBP-based SLAP, where the quality of a location assignment is obtained by optimizing an Order Batching Problem (OBP). For the
Deep-learning-powered data analysis in plankton ecology
The implementation of deep learning algorithms has brought new perspectives to plankton ecology. Emerging as an alternative approach to established methods, deep learning offers objective schemes to investigate plankton organisms in diverse environments. We provide an overview of deep-learning-based methods including detection and classification of phytoplankton and zooplankton images, foraging an
Bounce : Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Impactful applications such as materials discovery, hardware design, neural architecture search, or portfolio optimization require optimizing high-dimensional black-box functions with mixed and combinatorial input spaces. While Bayesian optimization has recently made significant progress in solving such problems, an in-depth analysis reveals that the current state-of-the-art methods are not reliab
SELF-PERCEIVED VOCAL HEALTH AND SOCIAL PARTICIPATION AMONG OLDER ADULTS
The aim of this study is to investigate the association between self-perceived voice problems and social participation among older adults (65-80 years). A complementary aim was to investigate the association between self-perceived voice problems and physical activity. Method Participants were recruited through social media and asked to complete an online questionnaire. In total, 152 individuals we
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Proteomic Analysis of Primary Graft Dysfunction in Porcine Lung Transplantation Reveals Alveolar-Capillary Barrier Changes Underlying the High Particle Flow Rate in Exhaled Breath
Primary graft dysfunction (PGD) remains a challenge for lung transplantation (LTx) recipients as a leading cause of poor early outcomes. New methods are needed for more detailed monitoring and understanding of the pathophysiology of PGD. The measurement of particle flow rate (PFR) in exhaled breath is a novel tool to monitor and understand the disease at the proteomic level. In total, 22 recipient
Cystic fibrosis in Iceland and the high prevalence of the N1303K variant
Background: Cystic fibrosis (CF) is most common in populations of Northern European ancestry where the F508del variant predominates. In 2020, Iceland became a member of the European Cystic Fibrosis Society Patient Registry, and we launched an epidemiological study of CF in Iceland. The study aimed to determine the prevalence and the genetic variants present in the country. Furthermore, we aimed to
NOISE AND ROOM ACOUSTICS - RISK FACTORS FOR VOICE DISORDERS AMONG MUSIC THERAPISTS?
Music therapy is a “vocally demanding profession” [1, p. 46]. Currently, little is known about the prevalence and about the possible risk factors for voice disorders within music therapy. As music therapy workspaces may not always be ideal in terms of acoustics, the aim of the study is to investigate room acoustics and noise as risk factors for possible voice disorders among music therapists in Fi
Inverse-Design of High-Dimensional Quantum Optical Circuits in a Complex Medium
We program high-dimensional linear optical circuits within a commercial multi-mode fibre, turning it into a generalised multi-outcome measurement device, which allows us to both transport and certify high-dimensional entanglement within the transmission channel itself.
vNOTES retroperitoneal sentinel lymph node dissection for endometrial cancer staging : First multicenter, prospective case series
Introduction: The current standard treatment for endometrial cancer is a laparoscopic hysterectomy with adnexectomies and bilateral sentinel node resection. A retroperitoneal vNOTES sentinel node resection has several theoretical potential advantages. These include being less invasive, leaving no visible scars, operating without Trendelenburg, and therefore offering the anesthetic advantage of eas
α-synuclein in the pathophysiology of Alzheimer's disease
The Alzheimer's disease (AD) afflicted brain is neuropathologically defined by extracellular amyloid-β (Aβ) plaques and intraneuronal neurofibrillary tangles composed of hyperphosphorylated tau protein. However, accumulating evidence suggests that the presynaptic protein α-synuclein (αSyn), mainly associated with synucleinopathies like Parkinson's disease (PD), dementia with Lewy bodies (DLB) and
Swallowing characteristics and water swallow capacity in patients with parkinsonism
att karakterisera sväljningsproblematik hos patienter med parkinsonism med såväl instrumentella som icke-instrumentella metoderPrevalence and characteristics of dysphagia (including aspiration) in patients with parkinsonism is variable, depending on type of assessment, diagnosis, disease stage and duration. The aim of this study was to further evaluate dysphagia characteristics in patients with different types of parkinsonism with both instrumental (Flexible Endoscopic Evaluation of Swallowing, FEES) and non-instrumental
The Fat Controller: an unexpected role of SELENOI in IgM responses
Realtime simulations with inline integration and mixed mode integration
In this thesis we discuss and test ways to improve the performance of inline integration. Inline integration is a tool used for real-time simulations of complex dynamical systems. The idea is to relate information about the system to the numerical method at a model level. Real-time simulations of complex models have become standard in industry. This puts high demands on simulation tools with regar
Internet-Delivered Exposure and Response Prevention for Pediatric Tourette Syndrome : 12-Month Follow-Up of a Randomized Clinical Trial
IMPORTANCE: Behavior therapy is a recommended intervention for Tourette syndrome (TS) and chronic tic disorder (CTD), but availability is limited and long-term effects are uncertain.OBJECTIVE: To investigate the long-term efficacy and cost-effectiveness of therapist-supported, internet-delivered exposure and response prevention (ERP) vs psychoeducation for youths with TS or CTD.DESIGN, SETTING, AN