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Inflation illiteracy - a micro-data analysis

Survey data Economic Tendency Survey Swedish households' perceptions of the current rate of inflation and their expectations of the future rate of inflation. They analyse what percentage of households can be considered to be poorly informed about inflation (as their responses devia on te significantly from the historical pattern of inflation), and what characterises these householdsUsing micro-level survey data from the National Institute of EconomicResearch’s Economic Tendency Survey, we find that a relatively largeshare of Swedish households is ill-informed about the rate of inflation inthe economy, with perceived and expected rates of inflation deviatingsubstantially from official measures. Probit analysis of the data indicatesthat such inflation illiteracy is related to

Shelley : Selected Poems

Percy Bysshe Shelley (1792 - 1822) was one of the major Romantic Poets and wrote what is critically recognised as some of the finest lyric poetry in the English Language. In this volume, the editors have selected the most popular, significant and frequently taught poems from the 6-volume Longman Annotated edition of Shelley's poems. Each poem is fully annotated, explained and contextualised, along

Co-creating injury prevention training for youth handball players targeting end-users at the individual, team and organizational levels

IntroductionInjury prevention training is effective in reducing injuries in youth team sports, but public health impact is limited because such training is not widely, properly, or sustainably implemented. Insufficient involvement of end-users has been identified as a main barrier to implementation. Based on results from previous studies within the I-PROTECT project, the aim was to develop a full

Lightweight Machine Learning for Seizure Detection on Wearable Devices

For patients with epilepsy, automatic epilepsy monitoring, i.e., the process of direct observation of the patient’s health status in real time, is crucial. Wearable systems provide the possibility of real-time epilepsy monitoring and alerting caregivers upon the occurrence of a seizure. In the context of the ICASSP 2023 Seizure Detection Challenge, we pro- pose a lightweight machine-learning frame

Water in Wood : A Review of Current Understanding and Knowledge Gaps

Wood-water interactions are central to the utilization of wood in our society since water affects many important characteristics of wood. This topic has been investigated for more than a century, but new knowledge continues to be generated as a result of improved experimental and computational methods. This review summarizes our current understanding of the fundamentals of water in wood and highli

Proteomic characteristics and diagnostic potential of exhaled breath particles in patients with COVID-19

BACKGROUND: SARS-CoV-2 has been shown to predominantly infect the airways and the respiratory tract and too often have an unpredictable and different pathologic pattern compared to other respiratory diseases. Current clinical diagnostical tools in pulmonary medicine expose patients to harmful radiation, are too unspecific or even invasive. Proteomic analysis of exhaled breath particles (EBPs) in c

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Balancing personal desire and social expectations, fathers who seek greater gender equality in the family today often face stereotypes at work and in society. Reflections from a collection of interviews

Weather-Related Railway Infrastructure Failures in Sweden: An Exploratory Study

The impacts of adverse weather conditions on railway infrastructure can result in delays and cancellations across the railway network and increased maintenance costs. The frequency and severity of extreme weather events are expected to rise due to climate change, making railways more vulnerable. This study aims to gain a better understanding of weather-related infrastructure failures (specifically

An improved estimate of soil carbon pool and carbon fluxes in the Qinghai-Tibetan grasslands using data assimilation with an ecosystem biogeochemical model

The accurate estimation of soil carbon (C) pool and fluxes is a prerequisite to better understand the terrestrial C feedback to climate change. However, recent studies showed considerable uncertainties in soil C estimates. To provide a reliable C estimate in the grasslands of the Qinghai-Tibet Plateau (QTP), we calibrated key parameters in a process-based ecosystem model (the CENTURY model) throug

Sizing up leadership : Norms and normativity in and around leadership measures

This thesis explores the role played by norms and social actors in establishing the acceptability and the purported validity of leadership measures. Taking an interpretivist and critical approach, I examine the subjective and normative side of supposedly objective quantitative assessment tools.Through observations, interviews, and document analysis I uncover the normative agendas and social contex