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Hundvänlig : Utmaningar, metoder och affärsmöjligheter för besöksnäringen

Denna rapport analyserar framväxten av hundvänlig turism i Sverige och belyser dess betydelse för besöksnäringens utveckling. Studien visar att hunden i allt högre grad betraktas som en familjemedlem, vilket påverkar resenärers beteenden, val av destination och konsumtionsmönster. Hundägare utgör en reseaktiv och kommersiellt attraktiv målgrupp som främst reser inom Sverige och efterfrågar naturbaThis report analyses the emergence of dog-friendly tourism in Sweden and highlights its significance for the hospitality industry's development. The study shows that dogs are increasingly regarded as family members, influencing travellers’ behaviour, destination choices, and consumption patterns. Dog owners represent a travel-active and commercially attractive target group that primarily travels d

An evaluation of deep learning-based models for intrusion detection in industrial control systems

Industrial Control Systems (ICS) have been compromised by cyber-attacks with the development of computer and network technologies over the past few decades. Intrusion Detection Systems (IDSs) play a significant role in ensuring information security, and the key mechanism is to identify various attacks in the network accurately. One common strategy when implementing an IDS is to use a machine-learn

Towards calibration robust: : 6DoF multi-horizon head motion prediction for EdgeXR

Accurately predicting head motion is essential for reducing motion-to-photon (MTP) latency in XR systems. However, standard evaluation practices often conflate true prediction error with residual calibration artifacts-such as global rotation bias, lever-arm offsets, or sub-frame time skews-even after alignment. These small but realistic miscalibrations can dominate reported errors and obscure the

Polarisation as a challenge to parliamentary governance

This chapter examines elite polarisation as a challenge to governance in parliamentary democracies. We emphasise the distinction between ideological polarisation based on substantive policy disagreements from affective polarisation, characterised by identity-based animosity that creates barriers to cooperation even when policy compromise might otherwise be possible. While parliamentary regimes hav

Outdoor environments at three nursing homes – Focus group interviews with staff.

This study investigated how the outdoor environments at nursing homes for older persons were experienced and used to gain knowledge with implications for design. Focus group methodology was used to explore staff's view of how the residents experienced and used the outdoors. Two main themes and ten sub-themes were the result when the focus group interviews were analyzed. Theme one, being comfortabl

Identification of gut microbiome signatures and metabolites associated with albuminuria in type 2 diabetes

CONTEXT: Type 2 diabetes is a growing global concern with serious complications, including kidney damage and cardiovascular morbidity and mortality. Monitoring albuminuria, which is associated with these complications, is crucial in optimal diabetes management. Gut microbiota composition has been suggested to impact albuminuria, but large studies with granular data are lacking.METHODS: We investig

4D-ONIX for reconstructing 3D movies from sparse X-ray projections via deep learning

The X-ray flux from X-ray free-electron lasers and storage rings enables new spatiotemporal opportunities for studying in-situ and operando dynamics, even with single pulses. X-ray multi-projection imaging is a technique that provides volumetric information using single pulses while avoiding the centrifugal forces induced by conventional time-resolved 3D methods like time-resolved tomography, and

Lung Fibroblasts from Chronic Obstructive Pulmonary Disease Subjects Have a Deficient Gene Expression Response to Cigarette Smoke Extract Compared to Healthy

BACKGROUND AND AIM: Cigarette smoking is the most common cause of chronic obstructive pulmonary disease (COPD) but more mechanistic studies are needed. Cigarette smoke extract (CSE) can elicit a strong response in many COPD-related cell types, but no studies have been performed in lung fibroblasts. Therefore, we aimed to investigate the effect of CSE on gene expression in lung fibroblasts from hea

Computational methods for querying and sampling the Twitter disinformation datasets

This study attempts to apply computational methods to the Twitter Election Integrity Datasets in order to derive a basic descriptive overview of this disinformation data, and to suggest some possible routes for developing these methods to address future research questions. The results indicate substantial variations in tweet frequency over time and geographical regions, as well as differences in r

The Consequences of Negligence Claims in Arterial Surgery - An Analysis of Two Periods with an Increasing Use of Endovascular Treatment

OBJECTIVES: Patient treatment within the Swedish medical service system can claim negligence injuries to the malpractice insurance review board and request financial compensation. The aim of this paper was to analyse the consequences of a negligence claim after arterial surgery between two periods with increasing use of endovascular treatment.METHODS: This was a retrospective cohort study of the a

Cartilage oligomeric matrix protein promotes prostate cancer progression by enhancing invasion and disrupting intracellular calcium homeostasis

Cartilage oligomeric matrix protein (COMP) was recently implicated in the progression of breast cancer. Immunostaining of 342 prostate cancer specimens in tissue microarrays showed that COMP expression is not breast cancer-specific but also occurs in prostate cancer. The expression of COMP in prostate cancer cells correlated with a more aggressive disease with faster recurrence. Subcutaneous xenog

Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning

Objective To evaluate which factors are the most strongly related to self-perceived health among older men and describe the shape of the association between the related factors and self-perceived health using machine learning.Design and setting This is a cross-sectional study within the population-based VAScular and Chronic Obstructive Lung disease study (VASCOL) conducted in southern Sweden in 20

A language of movements : grammar learning in a serial reaction time test

Implicit sequence learning (ISL) has been studied using a variety of tasks two of which have been particularly influential: the serial reaction time task (SRTT) and the artificial grammar learning (AGL) task, stemming from the motor learning domain and psycholinguistics, respectively. SRTTs measure the difference in response times between a repeatedly presented and random sequences of keyboard pre

Electromechanical coupling in polaronic ceria

Oxygen-defective metal oxides like cerium oxides exhibit giant electrostriction and field-induced piezoelectricity due to a dynamic electrosteric interplay between oxygen defects, V O ⋅ ⋅ , and the fluorite lattice. While such mechanisms are generally attributed to oxygen vacancies, recent results also highlight that trapped cationic defects, Ce Ce ′ , i.e. small polarons, can contribute to the el

A unified framework for real-time failure handling in robotics using vision-language models, reactive planner and behavior trees

Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time

Arts, culture and sports engagement and self-rated health : a cross-sectional population-based study in southern Sweden

Background: International research demonstrates an association between arts and culture activities and health and wellbeing. A similar association exists for sports event attendance and health. The aim of this study was to investigate associations between arts and culture engagement and attending sports events during the past year and self-rated health (SRH). Methods: A cross-sectional study. A pu

Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

In clinical practice, the glomerular filtration rate (GFR), a measurement of kidney functioning, is normally calculated using equations, such as the European Kidney Function Consortium (EKFC) equation. Despite being the most general equation, EKFC, just like previously proposed approaches, can still struggle to achieve satisfactory performance, limiting its clinical applicability. As a possible so

Multi-beam multi-slice X-ray ptychography

X-ray ptychography provides the highest resolution non-destructive imaging at synchrotron radiation facilities, and the efficiency of this method is crucial for coping with limited experimental time. Recent advancements in multi-beam ptychography have enabled larger fields of view, but spatial resolution for large 3D samples remains constrained by their thickness, requiring consideration of multip

Blood-Based Epigenetic Biomarkers Associated With Incident Chronic Kidney Disease in Individuals With Type 2 Diabetes

There is an increasing need for new biomarkers to improve prediction of chronic kidney disease (CKD) in individuals with type 2 diabetes (T2D). We aimed to identify blood-based epigenetic biomarkers associated with incident CKD and develop a methylation risk score (MRS) predicting CKD in individuals with newly diagnosed T2D. DNA methylation was analyzed epigenome wide in blood from 487 individuals