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Background: The growing availability of electronic health records (EHRs) presents an opportunity to enhance patient care by uncovering hidden health risks and improving informed decisions through advanced deep learning methods. However, modeling EHR sequential data, that is, patient trajectories, is challenging due to the evolving relationships between diagnoses and treatments over time. Significa

Under sustained global warming, Arctic climate is projected to become more responsive to changes in North Pacific meridional heat transport as a result of teleconnections between low and high latitudes, but the underlying mechanisms remain poorly understood. Here, we reconstruct subarctic humidity changes over the past 400 kyr to investigate the role of low-to-high latitude interactions in regulat

Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific guidelines to improve the reuse of bioimages an

In recent years, there has been an increasingly larger fraction of intermittent energy sources. In the northern parts of Europe, the main source of intermittent power is wind power. This source of power is low inertia, inconsistent and will always fluctuate with different magnitudes, leaving a need for balancing. One source of balancing is to have the widespread non-zero inertia combined heat and

Aims: Economic simulation models, such as the IHE Type 2 Diabetes Cohort Model (IHE-DCM-T2), are used widely to inform resource allocation for Type 2 Diabetes (T2D) treatments. Recently, IHE-DCM-T2 was augmented with Japanese-specific risk equations to align with the Japanese healthcare context. This study extends prior model validation of IHE-DCM-T2 to cover the Japanese risk equations for applic

The relevance of institutions for regional development has been well established in economic geography. In this context, local and regional governments play a central role, particularly through place-based and place-sensitive strategies. However, systematic and scalable insights into their priorities and strategies remain limited due to data availability. This paper develops a methodological appro

S100A8 plays a critical role in the pathogenesis of several inflammatory diseases and multiple types of cancer. Therefore, targeting the S100A8 function may alleviate the pathogenic process in various diseases. Here, specific single-chain variable fragment (scFv) antibodies targeting recombinant S100A8 (rS100A8) were selected by phage display technique and characterized using cDNA sequencing, immu

OBJECTIVES: Asphalt is frequently used as road pavement and consists of bitumen as a binder, and fillers. Bitumen consists of a complex mixture of hydrocarbons, where a minor component is polycyclic aromatic hydrocarbons (PAHs). Many PAHs are classified as carcinogenic to humans. Bitumen fumes from road paving have been classified as possibly carcinogenic. Paving and milling are open processes gen

Background: Mental health problems are an increasing challenge for primary healthcare. It puts strain on the healthcare professionals with limited time and resources. In several countries, healthcare professionals can refer patients with mental health issues to structured arts programmes, namely Arts on Prescription (AoP). This study explores the qualitative findings from a 3-year study on Arts on

Advances in spring phenology (SOS) and increases in terrestrial gross primary productivity (GPP) are well-documented. However, the impact of an earlier SOS on the duration and rate of carbon uptake (GPPrate) during the early growing season (EGS) remains unclear, leaving the overall influence of these factors on EGS GPP uncertain. Using satellite and carbon flux data across the Northern Hemisphere,

While the ecological roles of colored integument have been extensively studied, what regulates global patterns of color variation remains poorly understood. Here, using a global dataset of 1249 squamates, we evaluate whether and how six key eco-environmental variables and their interactions shaped the evolutionary history of their coloration. We show that only habitat openness consistently associa

Introduction:The pulp and paper industry is a major global sector, with most mills focused on producing fibres and electricity. Converting these mills into lignocellulosic biorefineries can make them central to a circular bioeconomy. This involves optimizing wood use for fibres, biochemicals, biofuels, and advanced materials, while improving efficiency and reducing waste. This lecture explores mem

Background: Inhaled nanomaterials can translocate from the lungs into systemic circulation and reach the liver, which is the main secondary organ for nanomaterial uptake, potentially causing adverse effects. Understanding how inhaled nanomaterials localize within liver tissue is important for understanding their clearance mechanisms and potential toxicity. Previous in vivo studies have primarily f

Correlated electron physics is intrinsically a multiscale problem, since high-energy electronic states screen the interactions between the correlated electrons close to the Fermi level, thereby reducing the magnitude of the interaction strength and dramatically shortening its range. Thus the handling of screening is an essential ingredient in the first-principles modeling of correlated electron sy

Background: Aggregated alpha-Synuclein (αSyn) is a hallmark pathology in Parkinson’s disease but also one of the most common co-pathologies in Alzheimer’s disease (AD). Preclinical studies suggest that αSyn can exacerbate tau aggregation, implying that αSyn co-pathology may specifically contribute to the Aβ-induced aggregation of tau that drives neurodegeneration and cognitive decline in AD. To in

Precise statistics about crop types and productions can support establishing more efficient decisions in the food security framework. The applicability of remote sensing imagery has been confirmed worldwide in crop-related studies. In this chapter, time series Sentinel-1 and Sentinel-2 images were integrated, along with crop inventory, to generate crop-type maps in Imperial County, CA, USA, within

Bakgrund: Amning innebär hälsofördelar både för mor och barn. Trots att majoriteten av kvinnor önskar att amma, minskar andelen barn som helammas. Amningsstödet har beskrivits som otillräcklig, med brister inom den postnatala vården. Kvinnor har i tidigare studier lyft fram avsaknaden av fördjupade bedömningar av amningen samt brist på känslomässigt stöd under vårdtiden efter förlossningen. Faktor

Abstrakt Bakgrund: Att bli förälder är en av de största omställningarna i livet. Socialstyrelsen rekommenderar utbildning i föräldraskapsstöd i mindre grupper för att stärka blivande föräldrars förmåga att möta barnets behov, känna sig trygga i sin nya roll, skapa trygghet under förlossningen och underlätta omställningen efter förlossningen. Tidigare studier visar på både variation i innehåll och

Att skriva SQL-satser för att hämta användardata är ofta en ansträngande uppgift som kräver god kännedom om hur datainsamlingen fungerar, och hur användare interagerar med applikationen. För utvecklare som endast skriver SQL ibland innebär det mycket kontextväxling och tid som går åt till att åter bekanta sig med dataanalyseringsarbetet. För att lösa detta problemet utvecklades en intern AI-agentWriting SQL to extract usage data is a strenuous task that requires extensive knowledge of logging practices and user interactions within an application. For engineers and developers who write SQL only intermittently, the resulting context switching and re-familiarization can consume valuable work hours. To address this challenge, an internal AI agent was developed to transform natural language i

Denna kandidatuppsats undersöker i vilken utsträckning litteratursökning och sammanfattning inom klinisk farmakologi kan delvis automatiseras genom använd- ning av en lokalt implementerad språkmodell (LLM) i kombination med en Hämt- ningsförbättrad generering (RAG)-komponent, utformad som ett fritextbaserat kliniskt beslutsstöd för medicinska experter. Kandidatuppsatsen syftar till att utveckla enThis thesis investigates the extent to which literature search and summarisation in clinical pharmacology can be partially automated by utilising a locally deployed Large Language Model (LLM) coupled with a Retrieval-Augmented Generation (RAG) component, designed as a free-text clinical decision support tool for medi- cal experts. The thesis aims to develop a prototype system consisting of a local