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Asthma is a common health problem. Both common and rare genetic risk factors may contribute to asthma, but few large-scale whole-exome sequencing studies elucidating the contribution of rare variations to asthma have been published. Two published UK Biobank portals: the Genebass portal (N = 269,171) and the Astra Zeneca portal (N = 484,111) (https://azphewas.com/and https://app.genebass.org/) were

The photoelectric effect explained by Einstein is often regarded as a one-electron phenomenon, whereas the interaction of the escaping electron with other electrons, referred to as electron correlation, plays an important role in multielectron systems. In this Letter, we study the attosecond photoionization of the outer s subshell of argon in its substantial minimum cross-section region formed by

Entomological lidar can provide rapid, non-intrusive assessment of insect abundance, diversity and composition, and has the potential to shed light on species specific preferences for habitats or environmental conditions. However, few studies have to date demonstrated comparisons of insect diversity and abundance across sites using photonic methods. Here, we present a first comparative entomologic

Partial-volume effects (PVEs) arise from the limited spatial resolution of PET and SPECT imaging systems, causing the systematic underestimation of activity concentration in structures that may hold critical diagnostic, treatment, or dosimetric information that impacts patient management. Recovery coefficient (RC)-based partial-volume correction (PVC) is one of the simpler approaches used to corre

L-DOPA-induced dyskinesia (LID) is a debilitating complication of dopamine replacement therapy in Parkinson's disease and the most common hyperkinetic disorder of basal ganglia origin. Abnormal activity of striatal D1 and D2 spiny projection neurons (SPNs) is critical for LID, yet the link between SPN activity patterns and specific dyskinetic movements remains unknown. To explore this, we implemen

This master thesis investigates the legal foundations for training of artificial intelligence (AI) models using personal data, with an emphasis on compliance with the European Union’s General Data Protection Regulation (GDPR). The core issue addressed is the lack of clear legal basis for AI training processes that involve the collection and use of personal data (gathered directly or indirectly thr

This thesis examines the Energy Charter Treaty's (ECT) Fair and Equitable Treatment (FET) standard, how it was modernized in 2024, and how this modernization affects the legal position of developing and energy-exporting nations, especially those in the Caspian Sea region. The goal is to determine whether modernization broadens states' regulatory latitude to pursue the energy transition and

Syftet med detta arbete var att undersöka hur data på ett smidigt sätt kan överföras från Excel till en relationsdatabas, samt hur en sådan databas kan användas för att effektivisera processer inom automationsprojekt. Arbetet inleddes med intervjuer för att identifiera vilka delar av automationsprojekten som upplevdes som ineffektiva, samt vilka lösningar som efterfrågades. Därefter inleddes progrThe purpose of this project was to investigate how data can be efficiently transferred from Excel to a relational database, and how such a database can be used to streamline processes within automation projects. The work began with interviews aimed at identifying inefficiencies in current workflows and gathering insights on desired solutions. Based on the findings, the development phase was initia

Parkinson's disease (PD) is characterized by a set of motor symptoms that depend on nigrostriatal dopaminergic degeneration and respond well to pharmacological dopamine replacement using L-DOPA. However, replacing dopamine with either L-DOPA or dopamine receptor agonists leads to the appearance of motor and nonmotor complications within a few years. Strong emphasis is currently placed on developin

l-DOPA-induced dyskinesia (LID) is a prevalent complication of dopamine replacement therapy in Parkinson’s disease. In addition to its clinical importance, LID represents a paradigm to unravel how altered signaling downstream of dopamine receptors can disrupt mechanisms of synaptic plasticity and motor information processing in the cortico-basal ganglia network. This chapter focuses on experimenta

We present memory-based language modeling as an efficient, eco-friendly alternative to deep neural network-based language modeling. It offers log-linearly scalable next-token prediction performance and strong memorization capabilities. Implementing fast approximations of k-nearest neighbor classification, memory-based language modeling leaves a relatively small ecological footprint both in trainin

A meditation on gratitude, strangeness, and listening with careA deceptive cadence suggests resolution but withholds it, opening instead to uncertainty, fragility, and the unexpected. This philosophical-existential inquiry takes that musical figure as a metaphor for life itself—disrupted by illness, sustained by another’s gift, and reshaped by the presence of death. Music here becomes a vital comp

The aim of this study was to perform histopathological reassessment of primary resections of locally advanced colon cancer (CC) within a randomized controlled trial, with specific focus on surgical margins and synchronous locoregional peritoneal metastases (SL-PM), and to provide learning points for both surgeons and pathologists. All histopathological slides of patients with c/pT4N0-2M0 or perfor

BackgroundSome patients scheduled for cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) only undergo explorative laparotomy (open/close procedure) due to extensive tumor spread or challenges in achieving complete cytoreduction (CC0). This study aimed to evaluate the surgical outcomes and overall survival in patients with peritoneal surface malignancy (PSM) who only

dolescents with an immigrant background have poorer educational performance than their native counterparts, which may partly be explained by the quality of their neighbourhood area upon immigration to Sweden. An important part of neighbourhood quality is neighbourhood socioeconomic status (NSES). This study examines the impact of initial NSES on subsequent school grades in refugees by using a natuAdolescents with an immigrant background have poorer educationalperformance than their native counterparts, which may partly be explainedby the quality of their neighbourhood area upon immigration to Sweden. Animportant part of neighbourhood quality is neighbourhood socioeconomicstatus (NSES). This study examines the impact of initial NSES on subsequentschool grades in refugees by using a natural

This study investigates the effects of high-frequency temporal light modulation (TLM) on neural activity using functional magnetic resonance imaging (fMRI) in healthy individuals (age 18–50 years). We examined stimulation frequencies both below (50 Hz) and above (≥100 Hz) the perceptible threshold for visual flicker. Our findings revealed that 50 Hz TLM, which is perceived as flickering, leads to

Wall-bounded turbulent flows are central to a wide range of engineering applications, where surface roughness can significantly influence both frictional drag and convective heat transfer. While the momentum effects of roughness have been significantly advanced in the literature, the thermal counter parts remain insufficiently understood. This study addresses the critical gap in understanding roug

Background: MicroRNA-379 (miR-379) has been reported to play a tumour-suppressing role in several cancer types. Our previous work demonstrated that miR-379 overexpression attenuates the metastatic spread of prostate cancer (PCa) both in vitro and in vivo. However, the underlying mechanisms remain poorly understood. Methods: To elucidate the mechanisms by which miR-379 affects metastases, we perf

Cancer is a disease of the genome caused by oncogene activation and tumor suppressor gene inhibition. Deep sequencing studies including large consortia such as TCGA and ICGC identified numerous tumor-specific mutations not only in protein-coding sequences but also in non-coding sequences. Although 98% of the genome is not translated into proteins, most studies have neglected the information hidden