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MULTI-CRITERIA ASSESSMENT AND PROCESS SELECTION MODEL FOR ADDITIVE MANUFACTURING IN THE CONCEPTUAL PHASE OF DESIGN

Additive manufacturing (AM), which was first applied for rapid prototyping, is now becoming a real option for small-batch production of final products. Further expansion of AM is closely correlated to production costs. AM can only become competitive to traditional manufacturing methods if a product is designed for AM already from the beginning as it is an expensive technology that should only be a

Heat Waves Alter Macrophyte-Derived Detrital Nutrients Release under Future Climate Warming Scenarios

In addition to a rise in global air and water mean temperatures, extreme climate events such as heat waves are increasing in frequency, intensity, and duration in many regions of the globe. Developing a mechanistic understanding of the impacts of heat waves on key ecosystem processes and how they differ from just an increase in mean temperatures is therefore of utmost importance for adaptive manag

Sensations, symptoms, and then what? Early bodily experiences prior to diagnosis of lung cancer

Lung cancer (LC) generally lacks unique core symptoms or signs. However, there are a multitude of bodily sensations that are often non-specific, not easily understood, and many times initially not recognized as indicative of LC by the affected person, which often leads to late diagnosis. In this international qualitative study, we inductively analyzed retrospective accounts of 61 people diagnosed

Sociodemographic and Clinical Characteristics of Older Adults With Suicide-Related Emergency Department Presentations

Objectives: To identify characteristics of older adult emergency department (ED) patients aged ≥65 with suicidal ideation and/or behavior. Methods: A single center retrospective chart review analyzed 392 patients (≥65) with suicidal ideation and/or behavior (2013–2019). Comprehensive full-text searches were used. Subgroup analyses for age and gender were conducted. Results: Depressive disorder was

Sphingosine-1-Phosphate, a Marker of Endothelial Injury and Disease Severity in Preeclampsia

BACKGROUND: Preeclampsia is a hypertensive pregnancy disorder marked by endothelial damage. Healthy endothelium is covered by a protective glycocalyx layer, which, when degraded, releases detectable products into the blood. Sphingosine-1phosphate (S1P) is a cardiovascular biomarker involved in glycocalyx preservation, linked to placentation and preeclampsia development. The study aimed to test the

Trends in the place of death in Sweden from 2013 to 2019 – disclosing prerequisites for palliative care

Background: The drive for home care has increasingly impacted the organization and allocation of resources within the Swedish healthcare system. Objectives: With an interest in uncovering prerequisites for palliative care, this study aimed to investigate longitudinal trends in place of death within the adult Swedish population from 2013 to 2019 and examine potential associations between place of d

Plasma endostatin at intensive care admission is independently associated with acute kidney injury, dialysis, and mortality in COVID-19

BackgroundCritical COVID-19 is associated with high mortality, and acute kidney injury (AKI) is common. Endostatin has emerged as a promising prognostic biomarker for predicting AKI and mortality in intensive care. This study aimed to investigate plasma endostatin at intensive care unit (ICU) admission as a biomarker for AKI, renal replacement therapy (RRT), and 90-day mortality in COVID-19.Method

Firefighters as first responders in out-of-hospital cardiac arrest : A retrospective study of a time-gain selective dispatch system in the Skåne Region, Sweden

AimTo analyze the impact of a time-gain selective, first-responder dispatch system on the presence of a shockable initial rhythm (SIR), return of spontaneous circulation (ROSC) and 30-day survival after out-of-hospital cardiac arrest (OHCA).MethodA retrospective observational study comprising OHCA registry data and dispatch data in the Skåne Region, Sweden (2010–2018). Data were categorized accord

The first comprehensive population size estimations for the highly endangered largest diving beetle Dytiscus latissimus in Europe

Dytiscus latissimus (Coleoptera Dytiscidae) is an endangered diving beetle throughout its range. It is one of the two species of Dytiscidae listed in Annex II of the Habitats Directive, IUCN red list and in many national level legislations and therefore strictly protected. The conservation of endangered species first of all requires an assessment of their population size. Until now, a method has n

Volcanic temperature changes modulated volatile release and climate fluctuations at the end-Triassic mass extinction

Emplacement of the Central Atlantic Magmatic Province (CAMP) is thought to have triggered global environmental changes and the end-Triassic mass extinction (ETE). However, the mechanisms linking volcanism and environmental change are unclear. Here we provide new insight into these linkages by measuring the abundance of both sedimentary five- to six-ring polycyclic aromatic hydrocarbons (PAHs) and

Exceptional points in anisotropic photonic structures : From non-Hermitian physics to possible device applications

We demonstrate that exceptional points exist in fully transparent, optically "effectively" biaxial, anisotropic micro-cavities, fabricated using an uniaxial cavity material with its axis inclined to the Bragg mirror growth direction. This is similar to the existence of singular (optic) axes in absorbing biaxial crystals, but the lack of time reversal symmetry is mediated by the mode broadening, i.

Predicting intensive care need in women with preeclampsia using machine learning–a pilot study

Background: Predicting severe preeclampsia with need for intensive care is challenging. To better predict high-risk pregnancies to prevent adverse outcomes such as eclampsia is still an unmet need worldwide. In this study we aimed to develop a prediction model for severe outcomes using routine biomarkers and clinical characteristics. Methods: We used machine learning models based on data from an i

Smoking and home oxygen therapy : a review and consensus statement from a multidisciplinary Swedish taskforce

Background: Home oxygen therapy (HOT) improves survival in patients with hypoxaemic chronic respiratory disease. Most patients evaluated for HOT are former or active smokers. Oxygen accelerates combustion and smoking may increase the risk of burn injuries and fire hazards; therefore, it is considered a contraindication for HOT in many countries. However, there is variability in the practices and p

Moving beyond Mediatized Activism for Social Justice: Creating Visual Safe/Brave Spaces for Activists

The large-scale mass mobilizations and colossal demonstrations of the last decade have shown that digital and social media platforms, globally, now play significant roles in early formation and further facilitation of activist movements, interested in progressive causes and societal changes. However, the repercussions of the very same events have also clearly shown the shortcomings of mediatized a

Samarbete ger lyckat resultat

Ta några ingenjörsstudenter, släng in ett par kognitionsvetarstudenter och ge dem ett problem att lösa. Ut kommer interaktiva dataspel för skolan och robotar som kan imitera människors rörelser. – Vi kombinerar doing och thinking, säger Agneta Gulz, professor i kognitionsvetenskap.