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Acceptability of a digital return-to-work intervention for common mental disorders : a qualitative study on service user perspectives

Background: There is an evident discrepancy between need and provision of evidence-based return-to-work (RTW) interventions in existing mental health services. Online dissemination of evidence-based interventions is presumed to reduce this gap. However, there is almost no knowledge available on perceived acceptability of digital RTW interventions among service users, which are factors that might i

Survival, causes of death and recurrence up to 3 years after stroke : A population-based study

Background and purpose: Up-to-date population-based information about long-term survival, causes of death and recurrence after stroke is needed. Methods: Four hundred consecutive individuals in a population-based cohort of first-ever stroke between 2015 and 2016 in Lund, Sweden, were followed up to 3 years regarding (i) survival (Swedish Population Register); (ii) causes of death (Swedish Causes o

Effects of Sex on Early Outcome following Repair of Acute Type A Aortic Dissection : Results from the Nordic Consortium for Acute Type A Aortic Dissection (NORCAAD)

Background Female sex is known to have increased perioperative mortality in cardiac surgery. Studies reporting effects of sex on outcome following surgical repair for acute Type A aortic dissection (ATAAD) have been limited by small cohorts of heterogeneous patient populations and have shown diverging results. This study aimed to compare perioperative characteristics, operative management, and pos

Recognition and synthesis of human movements by parametric HMMs

The representation of human movements for recognition and synthesis is important in many application fields such as: surveillance, human-computer interaction, motion capture, and humanoid robots. Hidden Markov models (HMMs) are a common statistical framework in this context, since they are generative and are able to deal with the intrinsic dynamic variation of movements performed by humans. In thi

Primary and secondary diagnoses of gambling disorder and psychiatric comorbidity in the Swedish health care system-A nationwide register study

Background: Psychiatric comorbidity is common in gambling disorder, a condition with low rates of treatment seeking. There is a paucity of documented nationwide data on gambling disorder and its co-occurring psychiatric comorbidities in the health care system. Methods: This is a nationwide register-based study of all patients aged above 18 years who were diagnosed with gambling disorder (correspon

A targeted metabolomic protocol for quantitative analysis of volatile organic compounds in urine of children with celiac disease

Volatile organic compounds (VOCs) in biological samples have gained popularity for disease monitoring and diagnosis. Celiac disease (CD) is one of the many prevalent health conditions which are challenging to diagnose. The aim of this study was to optimize a solid phase microextraction followed by gas chromatography-mass spectrometry, for quantitative analysis of a wide range of VOCs in the urine

Open source ERP business model framework

ERP systems became popular with large organizations in the 1990s. In the 21st Century, these products were expanded by addition of supply chain management (SCM) and customer relationship management (CRM), as well as access through the Web, creating the ERP II concept. Efforts to increase the market led vendors to serve not only large organizations, but also focus more on small-to-medium sized ente

The link between plasticity parameters and process parameters in orthogonal cutting

In the present study the plasticity parameters in the Johnson Cook plasticity model are determined on the basis of process parameters in orthogonal cutting by use of inverse analysis. Previously established links between material parameters and process parameters in the cutting process such as chip thickness ratio, cutting forces, temperatures, deformation zones, is used serve as a starting point

Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning

To avoid over-treatment of prostate cancer patients following screening for elevated prostate-specific antigen (PSA) levels, keeping patients on active surveillance has been suggested as an alternative to radical treatment. This means reoccurring visits for patients with low-grade cancer to monitor progression. The Prostate Cancer Research International Active Surveillance (PRIAS) study was initia

A Workshop for Accessible Crisis Information

Libraries have been pinpointed as a possible hub for information and safety during a crisis. We present a workshop design to contribute to the education of librarians with the goal to make them more able to provide inclusive and accessible information in a crisis. The workshop was carried out during a conference for librarians. The results from the workshop indicate that there is a need for furthe

Recording of non-musculoskeletal manifestations, comorbidities and safety outcomes in European spondyloarthritis registries : A survey

Objectives: Real-world evidence is needed to inform treatment strategies for patients with PsA and axial SpA (axSpA) who have non-musculoskeletal manifestations (NMMs), various risk factors and comorbidities. International collaboration is required to ensure statistical power and to enhance generalizability. The first step forward is identifying which data are currently being collected. Across 17

Antimicrobial resistance in the Nordics : mapping existing surveillance systems and assessing the impact of COVID-19 using regression models

Background: Coronavirus disease 2019 (COVID-19) pandemic constituted the largest global health crisis in recent generations. It may also have disrupted the pattern of antimicrobial use (AMU) and subsequently affected the development of antimicrobial resistance (AMR) – a grave human health concern. This study aimed to give an overview of existing AMR surveillance systems and evaluate the impact of

On the Origin of Information Dynamics in Early Life

We hypothesize that predictable variations in environmental conditions caused by night/day cycles created opportunities and hazards that initiated information dynamics central to life’s origin. Increased daytime temperatures accelerated key chemical reactions but also caused the separation of double-stranded polynucleotides, leading to hydrolysis, particularly of single-stranded RNA. Daytime solar

Corruption in Context : Institutions, Infrastructure and Economic Development

Corruption is one of the most pressing and systemic issues of the 21st century,significantly hindering sustainable socio-economic development acrossnations. It undermines trust in authorities and legal institutions, which inturn diminishes investment activities, restricts entrepreneurial growth, andexacerbates social inequality. Kazakhstan, as a country actively working tomodernize public administ

The actions and interactions of family genetic risk scores for alcohol use disorder and major depression on the risk for these two disorders

We know little about how genetic risk factors for two disorders jointly act and interact in predisposing to illness. Therefore, in the Swedish population, born 1970–1990 (n = 2,116,082) and followed through 2015, we examine, using additive Cox models, the impact of the family genetic risk scores (FGRS) for alcohol use disorder (AUD) and major depression (MD), their interaction with each other and

Genetic Landscape of the ACE2 Coronavirus Receptor

Background: SARS-CoV-2, the causal agent of COVID-19, enters human cells using the ACE2 (angiotensin-converting enzyme 2) protein as a receptor. ACE2 is thus key to the infection and treatment of the coronavirus. ACE2 is highly expressed in the heart and respiratory and gastrointestinal tracts, playing important regulatory roles in the cardiovascular and other biological systems. However, the gene