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Inclusive preparedness : Intellectual disability and disaster risk reduction
This licentiate dissertation emerges at the crossroads of critical disability studies and critical disasterstudies, with a commitment to justice, equality, and accessibility within the realm of disaster risk reduction(DRR). Its purpose was to develop new insights into strengthening crisis preparedness by activelyinvolving and including people with intellectual disabilities, leveraging their own kn
Male-female comparison of vasomotor effects of circulating hormones in human intracranial arteries
BACKGROUND: The purpose of this study was to examine whether there are sex differences in vasomotor responses and receptor localization of hormones and neuropeptides with relevance to migraine (vasopressin, oxytocin, estrogen, progesterone, testosterone, amylin, adrenomedullin and calcitonin gene-related peptide (CGRP)) in human intracranial arteries.METHODS: Human cortical cerebral and middle men
Is the shift in treatment patterns toward new, more expensive drugs still driving the increase in pharmaceutical expenditure? : A decomposition analysis of expenditure data in Sweden 1990-2022
BACKGROUND: Pharmaceutical expenditures (PE) are increasing worldwide raising concerns about sustainability. However, the current price index provides an incomplete picture of this trend due to the rapid introduction of new drugs on the market.OBJECTIVE: The aim of this study is to decompose PE into their components and investigate the development in Sweden from 1990 to 2022.METHODS: The PE index
Air Quality Monitoring Assists Meeting the Sustainable Development Goals in Ethiopia
Air pollution is a global challenge impacting the lives of millions of people, especially in low-income countries. Improving air quality is linked to several of the United Nations Sustainable Development Goals (SDGs). The state of particulate matter (PM) pollution in Ethiopia and the importance of a national ambient air quality monitoring program are discussed. The contributions of NASA’s upcoming
Några vanliga julväxter - med tonvikt på det botaniska
Some common Christmas plants are presented with emphasis on Botany and their connection to Christmas. The plants dis- cussed are Picea abies, Euphorbia pulcherrima, Helleborus niger, Viscum album, Ilex aquifo- lium, Schlumbergera sp., Hippeastrum × hortorum, Hyacinthus orientalis, Lycopodium s.l., and Cladonia stellaris.Some common Christmas plants are presented with emphasis on Botany and their connection to Christmas. The plants dis- cussed are Picea abies, Euphorbia pulcherrima, Helleborus niger, Viscum album, Ilex aquifo- lium, Schlumbergera sp., Hippeastrum × hor- torum, Hyacinthus orientalis, Lycopodium s.l., and Cladonia stellaris.
Clinical and molecular aspects of urinary tract infection in infants
Defending The Open Future : Replies to MacFarlane, Green, Wasserman, and Bigg & Miller
In this symposium piece, I reply to the diverse and wide-ranging set of objections to my book (The Open Future: Why Future Contingents are All False) set forth by MacFarlane, Green, Wasserman, and Bigg & Miller.
Remissyttrande: Ändrade ersättningsregler för användning av musik
Korea modernizes the lunar New Year
Birth weight and birth length affect future fracture risk differently in men and women
Summary: We wanted to determine if there are any associations between birth factors and adult fracture risk. For women only, shorter birth length was associated with lower relative fracture risk. For women and men, individuals who were long at birth as well as tall in adulthood had a substantially higher relative fracture risk. Purpose: We aimed to examine associations between birth anthropometry
Data-Driven Adaptive Dispatching Policies for Processing Networks
This letter presents and analyzes an adaptive data-driven controller that learns the optimal processing rate in a multi-unit processing network in the presence of disturbances. We formulate an optimization problem of linear cost, linear dynamics for the processing network model and an affine constraint on the dispatcher policy. A data-driven linear equation is constructed, based on which the onlin
NETest in advanced high-grade gastroenteropancreatic neuroendocrine neoplasms
Molecular blood biomarkers are lacking for high-grade (HG) gastroenteropancreatic (GEP) neuroendocrine neoplasms (NEN). To histologically distinguish between neuroendocrine carcinoma (NEC), neuroendocrine tumors G3 (NET G3), adenocarcinoma and MINEN is often challenging. The mRNA-based NETest has diagnostic, prognostic and predictive value in neuroendocrine tumors G1-2 but has not been studied in
A machine learning tool for identifying patients with newly diagnosed diabetes in primary care
Background and aim: It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC). Methods: A case-control study utilizing data on PHC visits for sex-, age, and PHC-matched controls. Stochastic gradient boosting was used to construct a model for predicting cases of diabetes based on dia
Shared genetic factors between osteoarthritis and cardiovascular disease may underlie common etiology
Osteoarthritis is one of the most common musculoskeletal diseases and increases the risk of severe cardiovascular disease, like heart attack and stroke. In some individuals, osteoarthritis and cardiovascular disease will co-occur. This co-occurrence might be due to shared risk factors, for example high age, lifestyle factors and/or a shared genetic liability for the two diseases. Here, we show tha
Free Recall Outperforms Story Recall in Associations with Plasma Biomarkers in Preclinical Alzheimer Disease
Background: A decline in episodic memory is one of the earliest cognitive characteristics of Alzheimer disease and memory tests are heavily featured in cognitive composite endpoints that are used to demonstrate treatment efficacy. Assessments of episodic memory can take many forms including free recall, associate learning, and paragraph or story recall. Plasma biomarkers of Alzheimer disease are n
Vague Disagreements : Vagueness Without Arbitrary Stipulation
According to Ruth Chang (2002, 2022), incommensurability in hard cases cannot be cases of vagueness. This is because vagueness, unlike hard cases, can always be resolved by arbitrary stipulation, leaving no resolutional remainder or substantive disagreement. Contrary to this, I argue that Chang’s argument fails because proponents of the vagueness view are in no way necessarily committed to the cla
The Nietzschean Sellars : Remarks on the Nietzsche-Sellars view of mind
We discuss the striking similarities between Friedrich Nietzsche's and Wilfrid Sellars's respective philosophies of mind. Drawing especially on recent Nietzsche scholarship by Riccardi and Katsafanas, we argue that the Nietzschean picture of consciousness is essentially the same as Sellars's view of conceptually structured thought. In particular, we argue that both consider structured thinking to
Global, regional, and national burden of stroke and its risk factors, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Background: Up-to-date estimates of stroke burden and attributable risks and their trends at global, regional, and national levels are essential for evidence-based health care, prevention, and resource allocation planning. We aimed to provide such estimates for the period 1990–2021. Methods: We estimated incidence, prevalence, death, and disability-adjusted life-year (DALY) counts and age-standard
Monotherapy with infusion therapies – useful or not?
Infusion pump-based therapies are an effective treatment option for patients with advanced Parkinson´s disease. Achieving monotherapy with infusion-based therapies could simplify the treatment regimen, provide better medication adherence, reduce adverse events and drug interactions. This review presents the literature data on the efficacy, safety, and achievability of monotherapy with all availabl