Search results

Filter

Filetype

Your search for "*" yielded 559722 hits

Boendelösningar för personer i hemlöshet - en systematisk kunskapsöversikt

Denna kunskapsöversikt sammanfattar effekterna av olika boendeinsatser för att motverka hemlöshet. Kunskapsöversikten har tagits fram genom en överenskommelse med Socialstyrelsen. Översikten är en uppdatering av rapporten Boendelösningar för hemlösa personer – en kunskapsöversikt, som Socialstyrelsen publicerade 2009. Underlaget består av 96 vetenskapligt granskade studier publicerade efter 2009,

Universal bacterial clade dynamics dominate under predation despite altered phenotypes and mutation targets

Recent studies have revealed bacterial genome-wide evolution to be complex and dynamic even in a constant environment, characterized by the emergence of new clades competing or temporarily coexisting as each clade undergoes evolutionary change. Previous studies on predator-prey dynamics tracking simple ecological and phenotypic metrics have shown predation to fundamentally alter prey evolution, fa

Perceiving absence: P3 signatures of surprise from occluded space

When navigating our world, we often feel that we see the whole scene around us. However, large parts of nearby space are often not visible because they are occluded by other objects. Behavioural evidence suggests that such occluded regions can be perceived as empty, which is known as the illusion of absence. Stage magicians use this illusion to make objects appear out of thin air. If an object eme

Priority European strategies for sustainable access to high-quality genetic counselling in cancer: A Delphi study

Europe’s Beating Cancer Plan is a substantial European Union (EU) investment into cancer prevention and treatment. Integration of genetic services towards personalised cancer prevention and care is a flagship of this plan. Genetic counselling is critical to this integration, facilitating informed patient decision making and improved clinical management. However, growing demands for genetic testing

Cycle characterisation and clinical complications in patients with cyclic Cushing's syndrome: insights from an international retrospective cohort study

Background: Cyclic Cushing's syndrome (cCS) features fluctuating cortisol secretion, often causing diagnostic errors or delays, and possibly poorer outcomes. We aimed to identify unpublished cCS cases to characterise clinical challenges and guide strategies for improving outcomes by characterising cycle patterns, peak frequency, and evaluating complications. Methods: This was a retrospective obser

Case Study on the Application of Machine Learning in Hydrology

This thesis presents a case study on the application of artificial intelligence (AI) in hydrology using two approaches. This topic was chosen since AI is an important tool, and water is a vital resource. The first case is on leakage detection with artificial data, while the second is on precipitation prediction with real data. For leakage detection, a random forest (RF) model and an artificial neuWater is the most vital resource, yet globally, 30% is lost through leaks. By implementing artificial intelligence (AI), this thesis has developed methods to locate leaks with high precision, as well as models to improve accuracy on satellite-based precipitation data. This thesis investigates two applications of AI on real-world problems; detecting water leaks and improving precipitation data. Th

The Power of Employees for Legitimate and Effective Crisis Communication

The chapter argues that employees play a central yet historically overlooked role in organizational crisis communication. Traditional crisis communication has emphasized external stakeholders and managerial control, but this chapter highlights internal communication as a continuous, relational, and sensemaking process that shapes organizational legitimacy. Employees are portrayed as active sensema

Catalysis across spectrum and time : Spectroscopic and electrochemical insights for material and mechanistic response

The transition toward sustainable energy systems has motivated extensive research into scalable routes for solar fuel generation. Silicon-based photoelectrodes are particularly promising due to their favorable optoelectronic properties, abundance, and compatibility with established microfabrication techniques. Nano-microstructuring silicon can enhance photoelectrochemical performance by improving

Lightweight personalisation for MEMS-based wearables : a padel stroke recognition case study

This work investigates lightweight personalisation of micro-electro-mechanical systems (MEMS)-based wearables using a public padel database as a case study. We compare a centralised CNN model, single-user models and two fine-tuning schemes (full and last-layer) on wrist-worn IMU data from 23 players and 13 stroke classes. Personalised models with data augmentation achieve weighted F1-scores above

Change in the chondroitin/dermatan structure in distal lung tissue from COPD patients

Chronic obstructive pulmonary disease (COPD) is a progressive condition characterized by airway remodeling, including emphysema and fibrosis. Proteoglycans and their glycosaminoglycan (GAG) chains are key components of the extracellular matrix and may be altered as the disease advances. This study analyzed lung tissue from COPD patients (GOLD stages II-III and IV), non-COPD smokers, and non-smoker

Dynamic multi-layer Aerial system for latent diffusion-based Generative AI Inference at the Edge

In this paper, we investigate a Multi-layer Aerial system for GenAI inference at the Edge (MAGE). Therein, ground user equipments (UEs) request image synthesis services from a remote base station (BS) that leverages the Latent Diffusion Model (LDM) for image generation. Multiple Unmanned Aerial Vehicles (UAVs) are deployed to serve the UEs for relaying their images and prompts to the BS. To reduce

A metaheuristic approach for mission assignment and task offloading in Open RAN-enabled intelligent transport systems

We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr

Active train stations

With the current climate crisis, it is time to reframe our understanding of active mobility as a solution for short journeys only. When combined with public transport, almost any journey can be an active one. To compete with private automobile travel, public transport must combine the speed of motorised transport, the reliability of dedicated right-of-way services, and the flexibility of active tr

Five Pathogenetic Classifications for Alloimmune Hemolytic Disease of the Fetus And Newborn

Maternal alloantibody-induced hemolytic disease of the fetus and newborn (HDFN) remains a significant concern worldwide. Alloimmune HDFN can be pathogenetically named by the specific alloantibodies involved. Moreover, four mechanistic pathway types are generally recognized in clinical practice: classical or extravascular hemolysis; immune-pressure-escaped, also known as antibody-mediated antigen-m