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Din sökning på "fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins The service is affordable and quick..qajn" gav 154784 sökträffar

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C1q is the initiator of the classical complement pathway and opsonizes apoptotic cells to facilitate phagocytosis. Deficiency of C1q is the strongest known risk factor for development of systemic lupus erythematosus (SLE)a, which appears to be related to ensuing impaired clearance of apoptotic material. The objective of the current study was to investigate new ligands for C1q on the surface of apo

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Studying how animals interface with a virtual reality can further our understanding of how attention, learning and memory, sensory processing, and navigation are handled by the brain, at both the neurophysiological and behavioural levels. To this end, we have developed a novel vision-based tracking system, FicTrac (Fictive path Tracking software), for estimating the path an animal makes whilst rot

Specialistsjuksköterskeprogrammen

Inom specialistsjuksköterskeutbildningarna sker oftast kortare utbyten på en klinik utomlands. För alla inriktningarNätverket NordsneNordsne är ett nätverk som de senaste åren har fokuserat på intensivkurser med olika teman. Lunds universitet koordinerar nätverket och följande universitet ingår (länkarna leder vidare till andra webbplatser):Karlstads universitetSahlgrenska akademinUniversity of Ic

https://www.student.med.lu.se/internationella-mojligheter-0/studera-utomlands/specialistsjukskoterskeprogrammen - 2026-07-15

Kathleen Mühlen Axelsson

Avdelningschef Kontaktinformation E-post: kathleen [dot] muhlen_axelsson [at] ub [dot] lu [dot] se Telefon: +46 46 222 90 93 Mobil: +46 73 059 62 30Organisation Avdelningen för Bevarande och Digitalisering WebbplatsKathleen Mühlen Axelssons profil i Lunds universitets forskningsportalAndra roller Konservator Avdelningen för Bevarande och Digitalisering Publikationer Visar av publikationer. Sortera

https://www.lub.lu.se/internt/kathleen-muhlen-axelsson - 2026-07-15

Rektorsbeslut handlaggningsordning lok infrastruktur 2021

BESLUT 2021-12-16 Dnr STYR 2021/ 2717 LuNns UNIVERSITET Re ktor Revidering av handläggningsordning gällande u n iversitetsgemensam fi nans ieri ng av forskni n gs i nfrastruktu r vid Lunds universitet Bakgrund Universitetet avsätter ca tjugo miljoner kronor årligen till finansiering av lokal forskningsinfrastruktur. F orm och ftirutsättningar ftir detta universitetsgemensamma stödprogram - från ut

https://www.medarbetarwebben.lu.se/sites/medarbetarwebben.lu.se/files/2022-01/rektorsbeslut_handlaggningsordning_lok_infrastruktur_2021.pdf - 2026-07-15

Ekonomisk-historiska seminariet: Giulia Martini

2 september 2026 13:15 till 14:30 | Seminarium Den 2 september kommer Giulia Martini, doktorand i ekonomisk historia vid Göteborgs universitet, presentera sin pågående forskning vid Ekonomisk-historiska institutionens seminarium. Martini skriver sin avhandling inom projektet "Women’s Access to Resources in Sub-Saharan Africa during the colonial era". Vid seminariet kommer hon presentera pappret "I

https://www.ehl.lu.se/evenemang/ekonomisk-historiska-seminariet-giulia-martini - 2026-07-16

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This paper introduces a two-dimensional extension of the well established Rietveld refinement method for modeling neutron time-of-flight powder diffraction data. The novel approach takes into account the variation of two parameters, diffraction angle 2θ and wavelength λ, to optimally adapt to the varying resolution function in diffraction experiments. By doing so, the refinement against angular- a

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Industrial pasteurisation is a heat-intensive process with significant potential for decarbonisation. This study investigates how open-source Modelica libraries can be adapted for industry, especially for food industry, and integrated to replace fossil-based thermal systems. Investigations are done to evaluate models of heat pumps, thermal energy storage, specifically the stratified tank, and sol

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Network cameras observe physical spaces but lack an inherent understanding of the scenes they see. This thesis presents a pipeline for floor and wall instance segmentation from a single uncalibrated RGB image, requiring no scene-specific prior information such as camera intrinsics, depth sensors, floor plans, or labelled floor and wall data for training. The detected instances are intended to supp

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Electronic Image Stabilization is a method to digitally stabilize a video feed to remove unwanted motion by transforming the image. The aim is to create a better viewing experience, reduce bitrate, and simplify further video analytics. This thesis explores different algorithms to stabilize Pan-Tilt-Zoom surveillance cameras made by Axis Communications. Many scenarios are investigated, but the case

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Förarapplikationer används i allt större utsträckning hos yrkesförare för att stödja företags ruttplanering, orderhantering, dokumentation och intern/extern kommunikation. När förare behöver läsa, tolka och/eller interagera med information i situationer kopplade till körning kan dessa system även skapa visuell, manuell och kognitiv distraktion, vilket ökar risken för trafikrelaterade skador. DettaDriver applications are increasingly used in professional driving to support route planning, order management, documentation, and communication. When drivers need to read, interpret, or interact with information in close proximity to driving, these systems can also create visual, manual, and cognitive distractions, increasing traffic safety risk. This master's thesis was conducted in collabora

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Background. Airborne SARS-CoV-2 plays a prominent role in COVID-19 transmission. Numerous studies have sampled air from patient rooms, but airborne spread to other hospital areas such as corridors is less investigated. Methods. Size-fractionated aerosol particles were collected weekly, with 12 hours of sampling time daily, in corridors at two infectious disease wards in southern Sweden between Mar

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Importance: Accurate risk prediction of morbidity and mortality in patients with heart failure with preserved ejection fraction (HFpEF) may help clinicians risk stratify and inform care decisions. Objective: To develop and validate a novel prediction model for clinical outcomes in patients with HFpEF using routinely collected variables and to compare it with a biomarker-driven approach. Design, Se

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Music therapy is a “vocally demanding profession” [1, p. 46]. Currently, little is known about the prevalence and about the possible risk factors for voice disorders within music therapy. As music therapy workspaces may not always be ideal in terms of acoustics, the aim of the study is to investigate room acoustics and noise as risk factors for possible voice disorders among music therapists in Fi

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In the last decades, the development of high-throughput molecular assays has revolutionised cancer diagnostics, paving the way for the concept of personalised cancer medicine. This progress has been driven by the introduction of such technologies through biomarker-driven oncology trials. In this review, strengths and limitations of various state-of-the-art sequencing technologies, including gene p

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With continuously improving signal-to-noise ratios, a statistically sound analysis of quasi-elastic neutron scattering (QENS) spectra requires to fit increasingly complex models which poses several challenges. Simultaneous fits of the spectra for all recorded values of the momentum transfer become a standard approach. Spectrometers at spallation sources can have a complicated non-Gaussian resoluti

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As we’re living in a modern society, most of us have been connected to the water and electricity grid, However, there’re still billions of people who are still lack of reliable water and electricity resource. In some developing countries like India and Philippines, the demand for electricity and water are far more than actual production, which causes frequent electricity and water shortage problem

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Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR are essential in order to properly be able to monitor the risk. This thesis examines a copula approach for estimating VaR for portfolios of commodities. The predictions are made from a semi- parametric model with Monte Carlo methods. The underlying model is constructed by choosing the best fit from