Prejudice and Fear as Influences in Relation to a Successful Organ Donation - Experiences of Immigrants Living in Sweden.

Objectives: The purpose of this study was to determine whether fear and prejudice in relation to organ donation and the transplantation of organs may influence the decision to become an organ donor.

Materials And Methods: Data were collected through four group interviews using open-ended questions and qualitative content analysis. Forty participants, 16 males and 24 females from seven countries, participated in the focus group interviews.

When time does not heal all wounds: three decades' experience of immigrants living in Sweden.

Aim: To investigate how immigrants from the Balkan region experienced their current life situation after living in Sweden for 30 years or more.

Materials: The study was designed as a qualitative study using data from interviews with informants from five Balkan countries. The inclusion criteria were informants who were immigrants to Sweden and had lived in Sweden for more than 30 years.

A General Framework for Progressive Data Compression and Retrieval.

In scientific simulations, observations, and experiments, the transfer of data to and from disk and across networks has become a major bottleneck for data analysis and visualization. Compression techniques have been employed to tackle this challenge, but traditional lossy methods often demand conservative error tolerances to meet the numerical accuracy requirements of both anticipated and unknown data analysis tasks. Progressive data compression and retrieval has emerged as a promising solution, where each analysis task dictates its own accuracy needs.

Progressive Tree-Based Compression of Large-Scale Particle Data.

Scientific simulations and observations using particles have been creating large datasets that require effective and efficient data reduction to store, transfer, and analyze. However, current approaches either compress only small data well while being inefficient for large data, or handle large data but with insufficient compression. Toward effective and scalable compression/decompression of particle positions, we introduce new kinds of particle hierarchies and corresponding traversal orders that quickly reduce reconstruction error while being fast and low in memory footprint.

Calling as a resource for health and occupational wellbeing among the care sector workers in Finland.

Background: The salutogenic approach in workplace health promotion emphasizes resources to gain and maintain good health and wellbeing. One of these resources could be calling, but its relation to the salutogenic approach is unknown.

Objective: To explore the associations between salutogenic measures of health and occupational wellbeing and calling among workers from the care and educational sectors.

Dried blood spot is the feasible matrix for detection of some but not all hepatitis B virus markers of infection.

Objective: Use of dried blood spots (DBS) for detection of hepatitis B virus (HBV) markers of infection has the potential to facilitate diagnosis of HBV infection especially in resource-limited countries. The aim of this study was to evaluate the feasibility of DBS for detection of various markers of HBV infections.

Results: Fifty-four DBS samples were engineered from well-characterized plasma samples.

Swedish managers' experience of yearly staff development dialogues, aiming for employee development, performance, and well-being.

Background: Societal development and a competitive corporate climate have resulted in increased emphasis on performance management (PM) but also sustainability and health challenges in working life. Opportunities for employee well-being, development and performance are thus highly relevant for organisations and society. PM includes a manager-employee dialogue process and is identified as a complex challenge when combined with employee development and well-being.

As a Member of the Surgical Team, the Nurse Anesthetist's View of Using the WHO Surgical Safety Checklist in Swedish Health Care.

Introduction: In Sweden, during specialty training, the nurse anesthetist learns how to ensure patient safety in a health-care setting by implementing the surgical checklist measures during perioperative care. To date, there are still considerable shortcomings when it comes to implementing these patient safety measures in Swedish hospitals.

Aim: The purpose of this study is to describe the use of the WHO surgical safety checklist (WHOSSC) by surgical teams, with special emphasis on nurse anesthetists to increase patient safety.

AMM: Adaptive Multilinear Meshes.

Adaptive representations are increasingly indispensable for reducing the in-memory and on-disk footprints of large-scale data. Usual solutions are designed broadly along two themes: reducing data precision, e.g.

Postoperative Pain After Robot-Assisted Laparoscopic Ventral Hernia Repair.

Robot-assisted ventral hernia repair, when performed correctly, may reduce the risk for pain and discomfort in the postoperative period thus enabling shorter hospital stay. The aim of the present study was to evaluate postoperative pain following robot-assisted laparoscopic repair. The approach was selected after an intraoperative decision to complete the repair as: (1).

Meetings are an Important Prerequisite for Flourishing Workplace Relationships.

Relationships among colleagues, managers, and care recipients are mutually important, and need to be highlighted in workplace health promotion. The aim was to explore prerequisites for flourishing workplace relationships in a municipal healthcare setting for old people. As part of this process, we explored the staff's suggestions on how work relationships could be improved.

Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution.

To address the problem of ever-growing scientific data sizes making data movement a major hindrance to analysis, we introduce a novel encoding for scalar fields: a unified tree of resolution and precision, specifically constructed so that valid cuts correspond to sensible approximations of the original field in the precision-resolution space. Furthermore, we introduce a highly flexible encoding of such trees that forms a parameterized family of data hierarchies. We discuss how different parameter choices lead to different trade-offs in practice, and show how specific choices result in known data representation schemes such as zfp [52], idx [58], and jpeg2000 [76].

TTHRESH: Tensor Compression for Multidimensional Visual Data.

Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and they increasingly demand suitable data compression strategies. We introduce a novel lossy compression algorithm for multidimensional data over regular grids. It leverages the higher-order singular value decomposition (HOSVD), a generalization of the SVD to three dimensions and higher, together with bit-plane, run-length and arithmetic coding to compress the HOSVD transform coefficients.

A Study of the Trade-off Between Reducing Precision and Reducing Resolution for Data Analysis and Visualization.

There currently exist two dominant strategies to reduce data sizes in analysis and visualization: reducing the precision of the data, e.g., through quantization, or reducing its resolution, e.

Workplace relationships impact self-rated health: A survey of Swedish municipal health care employees.

Background: The impact of positive social relationships on the health of municipal employees in the elder care sector in Sweden needs further examination.

Objective: To explore the association between health and relationships among elderly care employees using a salutogenic perspective.

Method: Survey of all employees (n = 997) in special housing, home care and Disabled Support and Services in a Swedish municipality.

Intra-islet lesions and lobular variations in β-cell mass expansion in ob/ob mice revealed by 3D imaging of intact pancreas.

The leptin deficient ob/ob mouse is a widely used model for studies on initial aspects of metabolic disturbances leading to type 2 diabetes, including insulin resistance and obesity. Although it is generally accepted that ob/ob mice display a dramatic increase in β-cell mass to compensate for increased insulin demand, the spatial and quantitative dynamics of β-cell mass distribution in this model has not been assessed by modern optical 3D imaging techniques. We applied optical projection tomography and ultramicroscopy imaging to extract information about individual islet β-cell volumes throughout the volume of ob/ob pancreas between 4 and 52 weeks of age.

Adaptive Multilinear Tensor Product Wavelets.

Many foundational visualization techniques including isosurfacing, direct volume rendering and texture mapping rely on piecewise multilinear interpolation over the cells of a mesh. However, there has not been much focus within the visualization community on techniques that efficiently generate and encode globally continuous functions defined by the union of multilinear cells. Wavelets provide a rich context for analyzing and processing complicated datasets.

Fixed-Rate Compressed Floating-Point Arrays.

Current compression schemes for floating-point data commonly take fixed-precision values and compress them to a variable-length bit stream, complicating memory management and random access. We present a fixed-rate, near-lossless compression scheme that maps small blocks of 4(d) values in d dimensions to a fixed, user-specified number of bits per block, thereby allowing read and write random access to compressed floating-point data at block granularity. Our approach is inspired by fixed-rate texture compression methods widely adopted in graphics hardware, but has been tailored to the high dynamic range and precision demands of scientific applications.

Comparative Analysis of Stress Induced Gene Expression in Caenorhabditis elegans following Exposure to Environmental and Lab Reconstituted Complex Metal Mixture.

Metals are essential for many physiological processes and are ubiquitously present in the environment. However, high metal concentrations can be harmful to organisms and lead to physiological stress and diseases. The accumulation of transition metals in the environment due to either natural processes or anthropogenic activities such as mining results in the contamination of water and soil environments.

Retention rate of zonisamide in intractable epilepsy.

Objectives: To assess the effect and tolerability of zonisamide (ZNS) as adjunctive treatment for difficult-to-treat epilepsy in adult Scandinavian patients.

Material And Methods: 151 outpatients (mean age: 42.5 years) from 18 centres in Denmark, Sweden and Norway were recruited to the study.

Assessing surgical quality: comparison of general and procedure-specific morbidity estimation models for the risk adjustment of pancreaticoduodenectomy outcomes.

Introduction: The use of outcomes to evaluate surgical quality implies the need for detailed risk adjustment. The physiological and operative severity score for the enumeration of mortality and morbidity (POSSUM) is a generally applicable risk adjustment model suitable for pancreatic surgery. A pancreaticoduodenectomy (PD)-specific intraoperative pancreatic risk assessment (IPRA) estimates the risk of postoperative pancreatic fistula (POPF) and associated morbidity based on factors that are not incorporated into POSSUM.

Grouper: a compact, streamable triangle mesh data structure.

We present Grouper: an all-in-one compact file format, random-access data structure, and streamable representation for large triangle meshes. Similarly to the recently published SQuad representation, Grouper represents the geometry and connectivity of a mesh by grouping vertices and triangles into fixed-size records, most of which store two adjacent triangles and a shared vertex. Unlike SQuad, however, Grouper interleaves geometry with connectivity and uses a new connectivity representation to ensure that vertices and triangles can be stored in a coherent order that enables memory-efficient sequential stream processing.