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Previous research has identified good communication as one of several key factors essential for destination resilience. However, there has been a lack of research on how communication contributes to this development. To address this gap, this study explores the communication work done by Destination Management Organizations (DMOs) with stakeholders to influence destination resilience. The study ex

The Cherenkov Telescope Array (CTA) will be the next generation ground-based observatory for very-high-energy (VHE) gamma-ray astronomy, with the deployment of tens of highly sensitive and fast-reacting Cherenkov telescopes. It will cover a wide energy range (20 GeV - 300 TeV) with unprecedented sensitivity. To maximize the scientific return, the observatory will be provided with an online softwar

Introduction: With the rapid development of treatment modalities for obesity management, there is a growing need for guidelines. This was acknowledged by the Swedish National Board of Health and Welfare and in 2020 the process of producing the first national guidelines for obesity care, including both children and adults, was initiated. The main aim was to ensure equal high standard care throughou

Recently, there has been a significant rise in research and development focused on deep learning (DL) models within healthcare. This trend arises from the availability of extensive medical imaging data and notable advances in graphics processing unit (GPU) computational capabilities. Trained DL models show promise in supporting clinicians with tasks like image segmentation and classification. Howe

Here, we present new models to fit small angle X-ray scattering (SAXS) data for the characterization of ion tracks in polymers. Ion tracks in polyethylene terephthalate (PET), polycarbonate (PC), polyimide (PI) and polymethyl methacrylate (PMMA) were created by swift heavy ion irradiation using 197Au and 238U with energies between 185 MeV and 2.0 GeV. Transmission SAXS measurements were performe

Cartesian impedance control is a type of motion control strategy for robots that improves safety in partially unknown environments by achieving a compliant behavior of the robot with respect to its external forces. This compliant robot behavior has the added benefit of allowing physical human guidance of the robot. In this paper, we propose a C++ implementation of compliance control valid for any

While the conventional forest plot is useful to present results within subgroups of patients in clinical studies, it has been criticized for several reasons. First, small subgroups are visually overemphasized by long confidence interval lines, which is misleading. Second, the point estimates of large subgroups are difficult to discern because of the large box representing the precision of the esti

Phantoms simultaneously mimicking anatomical and optical properties of real tissues can play a pivotal role for improving dosimetry algorithms. The aim of the paper is to design and develop a hybrid phantom model that builds up on the strengths of solid and liquid phantoms for mimicking various anatomical structures for prostate cancer photodynamic therapy (PDT) dosimetry validation. The model com

Kazakhstan is facing increasing water scarcity due to climate change and transboundary international water diversions. For this reason, low-quality water with high mineral content needs to be increasingly used in the future. A way to improve water quality for consumptive use is membrane treatment technology. In view of this, we investigated a new type of synthetic spatial-globular structure (SGS)

Weather impacts several aspects of our daily life, of which the way we travel is one. The relationship between weather phenomena and ridership of trains has not received much attention previously. The study we present here aims to understand the impact of temperature, wind, and precipitation on passenger volumes for commuter trains. To do so we make use of automatic passenger count and weather dat

We have developed a sampling method for beamline simulations for the proposed NNBAR experiment at the European Spallation Source. The method is based on probability density evaluation and duct source biasing and enables the simulations of the entire NNBAR beamline with high statistics while also preserving correlations of the neutron tracks. Future efforts will focus on employing these methods for

This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks and is built on, combines and further develops several different modules from previous research. The network takes an RGB image and estimates a wireframe as well as a feature space using an hourglass backbone. From t

To complete a new Swedish railway line in a much shorter timeframe than today, alter natives to the traditional methods need to be explored. One option is the use of prefabricated concrete slabs elevated on piers, analogous to the concept used in China for building new railways in record time (He et al., 2017). The method has the advantage of directly tackling the barrier effects exhibited by trad

This paper focuses on how one can relate management thinking/practices to entrepreneurial processes in the context of formal organization. In order to do this we develop a number of related 'spatial concepts' providing us with the possibility of describing entrepreneurship as a 'creation and use of space for play/innovation'. Using concepts of space, the managerial and the entrepreneurial dimensio