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Climate variability and its effects on regional hydrology : A case study for the Baltic Sea drainage basin

As climate models can be used to reproduce historical climates, the outcomes can be used to put climate extremes in to a proper historical perspective. This also allows investigation of nonlinear properties of hydrologic processes (e.g. precipitation, runoff) to better understand regional hydrologic dynamics. To this end, the present study uses results from a so-called 'paleosimulation' (i.e. simu

The ratio FEV1/FVC and its association to respiratory symptoms—A Swedish general population study

Chronic airflow limitation (CAL) can be defined as fixed ratio of forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) < 0.70 after bronchodilation. It is unclear which is the most optimal ratio in relation to respiratory morbidity. The aim was to investigate to what extent different ratios of FEV1/FVC were associated with any respiratory symptom. In a cross-sectional general populat

Cultural atavism in the face of an environmental disaster : Skopje 2014 in the limelight

Great social challenges of today, and the conflicts arising therefrom, no longer come one by one. What makes them great is their entanglement in one other and across multiple levels. Similarly, spatial conflicts seldom arise in isolation, but result from simmering tensions that may manifest in a more insidious fashion, namely by appealing to intangible values. This chapter looks into one such spat

Identifying and modelling clinical subpopulations from the Malmö breast tomosynthesis screening trial

Virtual Clinical Trials (VCT) are an effective tool to evaluate the performance of novel imaging systems using computer simulations. VCT results depend on the selection of virtual patient populations. In the case of breast imaging, virtual patients should be matched to a desired clinical population in terms of selected anatomical or demographic descriptors. We are developing a virtual population o

Artificial intelligence together with mechanical imaging in mammography

Artificial intelligence (AI) applications are increasingly seeing use in breast imaging, particularly to assist in or automate the reading of mammograms. Another novel technique is mechanical imaging (MI) which estimates the relative stiffness of suspicious breast abnormalities by measuring the distribution of pressure on the compressed breast. This study investigates the feasibility of combining

Evolution of the Microstructure and Mechanical Properties of cBN-Based Cutting Tools with Silicides Compounds as Binder Phase

Silicide based compounds are widely used for coatings due to their high melting temperature, oxidation resistance and moderate density. Employment of binders based on silicides of transitional metals can provide cBN-based cutting tools with higher chemical stability and better performance. The relationship between phase composition, microstructure and mechanical properties of novel polycrystalline

Evaluation of progressive damage in barre granite using ultrasonic velocity tomography and digital image correlation

Full-field measurement techniques have the significant advantage of taking measurements along the complete specimen specially assisting in the characterization of heterogeneous rocks. This research's objective was therefore to evaluate and characterize the damage occurring inside uniaxially-loaded Barre granite specimens using two non-destructive full-field measurement techniques, namely, the ultr

Environmental and anthropogenic correlates of migratory speeds among Atlantic salmon smolts

Dams, weirs, and hydropower facilities are often cited as migratory barriers which impart significant reductions in fitness among migratory fish species. Even where upstream and downstream passage options are available, barrier passage can still often result in energetic or physical costs which compound delays or cause mortality. Past studies have identified variables associated with such fitness

Fatigue after heart transplantation – a possible barrier to self-efficacy

Rationale: Recovery after heart transplantation is challenging and many heart recipients struggle with various transplant-related symptoms, side-effects of immunosuppressive medications and mental challenges. Fatigue has been reported to be one of the most common and distressing symptoms after heart transplantation and might therefore constitute a barrier to self-efficacy, which acts as a moderato

MSIWarp : A General Approach to Mass Alignment in Mass Spectrometry Imaging

Mass spectrometry imaging (MSI) is a technique that provides comprehensive molecular information with high spatial resolution from tissue. Today, there is a strong push toward sharing data sets through public repositories in many research fields where MSI is commonly applied; yet, there is no standardized protocol for analyzing these data sets in a reproducible manner. Shifts in the mass-to-charge

Pseudoaneurysm Development after Drug-Eluting Balloon (DEB) Angioplasty of a Venous Femoropopliteal Bypass Graft

Endovascular recanalization of occluded venous femoropopliteal bypass grafts is widely used because of easy access. This case report describes pseudoaneurysm developing 4 weeks after endovascular recanalization of an occluded in situ venous femoropopliteal graft. The patient was treated for a popliteal aneurysm with a venous femoropopliteal bypass graft, which subsequently occluded. Four weeks aft

Assessment of search strategies in literature-review-based candidate theses within a nursing program

Background: The majority of candidate theses in baccalaureate nursing programs in Sweden are written as literature studies. Being able to carry out a systematic and structured literature search is an essential part of thesis-related work. Aim: The aim of the current study was to investigate changes in nursing students’ search strategies in candidate theses. Methods: A retrospective, quantitative s

Improving Performance of Feedback-Based Real-Time Networks using Model Checking and Reinforcement Learning

Traditionally, automatic control techniques arose due to need for automation in mechanical systems. These techniques rely on robust mathematical modelling of physical systems with the goal to drive their behaviour to desired set-points. Decades of research have successfully automated, optimized, and ensured safety of a wide variety of mechanical systems. Recent advancement in digital technology ha

Australian Bogong moths Agrotis infusa (Lepidoptera : Noctuidae), 1951–2020: decline and crash

The Bogong moth Agrotis infusa is well known for its remarkable long-distance migration – a return journey from the plains of southeast Australia to the Australian Alps – as well as for its cultural significance for Indigenous Australians. Each Spring, as many as four billion moths are estimated to arrive in the Australian Alps to aestivate in cool mountain caves and in boulder fields, bringing wi

Temperature adaptation of soil microbial respiration in alpine, boreal and tropical soils : An application of the square root (Ratkowsky) model

Warming is expected to stimulate soil microbial respiration triggering a positive soil carbon-climate feedback loop while a consensus remains elusive regarding the magnitude of this feedback. This is partly due to our limited understanding of the temperature-adaptive response of soil microbial respiration, especially over broad climatic scales. We used the square root (Ratkowsky) model to calculat

The effect of breast density on the performance of deep learning-based breast cancer detection methods for mammography

Mammographic sensitivity in breasts with higher density has been questioned. Higher breast density is also linked to an increased risk for breast cancer. Even though digital breast tomosynthesis (DBT) offers an attractive solution, for varied reasons it has not yet been widely adopted in screening. An alternative could be to boost the performance of standard mammography by using computer-aided det