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Din sökning på "Identification of severity related mutation hotspots in SARS-CoV-2 using a density-based clustering approach" gav 196123 sökträffar

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Kanari Domna Mining geosocial data from Flickr to explore tourism patterns: The case study of Athens Social media are providing a new type of geo-tagged data that by processing them, new types of knowledge can be generated and used by decision-makers in different areas including tourism. It includes e.g., identifying touristic areas that are not prioritized or advertised by touristic authorities

Registration - Perform without pressure – a compassionate approach to managing stress

Name (obligatorisk) Please type your full name. Date of birth (YYYYMMDD) (obligatorisk) Please type your date of birth as followed: YYYYMMDD. Email address (obligatorisk) Please type your email address. Phone number (obligatorisk) Please type your phone number. What are you studying? (obligatorisk) Please type what programme or course you are studying. By submitting this form, I hereby consent to

https://www.lu.se/formular/registration-perform-without-pressure-compassionate-approach-managing-stress - 2026-10-04

Stroke policy och kvalitetsregisterforskning

The Swedish Stroke Register (Riksstroke) was founded in 1994. Riksstroke includes registration of acute stroke, with a follow up after 3 months and 1 year. The Stroke policy and quality register research group has several ongoing projects based on data from Riksstroke, and in many studies also using data record linkage to other national registers and data bases. The thesis of Teresa Ullberg expl

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Vehicles equipped with sensors can participate inmobile crowdsourcing applications. Vehicular Ad Hoc Networks(VANETs) based on Dedicated Short Range Communication(DSRC) are used to carry sensing data. However, multi-hoptransmissions for gathering data to Road Side Units (RSUs) inVANETs suffer from low data rate and long end-to-end delay,which can hardly meet the QoS requirements of delay-sensitive

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The impacts of global climate change on different aspects of humanity's diverse life-support systems are complex and often difficult to predict. To facilitate policy decisions on mitigation and adaptation strategies, it is necessary to understand, quantify, and synthesize these climate-change impacts, taking into account their uncertainties. Crucial to these decisions is an understanding of how im

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Background: Asthma with low levels of type 2 (T2) biomarkers is poorly understood. Objective: To characterize severe asthma phenotypes and compare changes in asthma outcomes from pre- to postbiologic treatment along a gradient of T2 involvement. Methods: This was a registry-based cohort study including data from 24 countries. Biomarker distribution (blood eosinophil count, fractional exhaled nitri

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Background. Test automation is a widely used technique to increase the efficiency of software testing. However, executing more test cases increases the effort required to analyze test results. At Qlik, automated tests run nightly for up to 20 development branches, each containing thousands of test cases, resulting in information overload. Aim. We therefore develop a tool that supports the analysis

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Relay autotuning has proven very successful for single-input single-output systems. This paper proposes an identification method for relay autotuning of systems with two inputs and two outputs (TITO systems). The combination of asymmetric relay feedback and output error identification admits short tuning time, without the need for limit cycle convergence. The method is successfully demonstrated on