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Interpretation of data from faint dwarf galaxies is made challenging by observations limited to only the brightest stars. We present a major improvement to tackle this challenge by undertaking zoomed cosmological simulations that resolve the evolution of all individual stars more massive than 0.5 M⊙, thereby explicitly tracking all observable stars for the Hubble time. For the first time, we predi
The widespread adoption of lithium-ion batteries (LIBs) across energy storage systems, electric vehicles, and consumer electronics is accelerating, yet the safety challenges associated with thermal runaway (TR) events remain incompletely understood. This report presents a structured review of current knowledge regarding flammable and toxic gas emissions from LIBs during TR, the consequences for fi
Studying the behavior of multiple participants using networked eye-tracking setups is of increasing interest to researchers. However, to conduct such studies, researchers have had to create complicated ad hoc solutions for streaming gaze over a local network. Here we present TittaLSL, a toolbox that enables creating networked multi-participant experiments using Tobii eye trackers with minimal prog
Negative symptoms in schizophrenia spectrum are associated with minimal treatment responses. The search for effective treatments is potentially hampered by heterogenous study-designs and sample characteristics depending on the intervention category. This PRISMA-compliant systematic review/synthesis aims to describe the literature on negative symptoms interventions for schizophrenia spectrum disord
Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolu
A critical challenge in developing anion exchange membrane (AEM) water electrolysis is to design high-performance AEMs with chemical and mechanical stability under harsh alkaline environments. Herein, we report the rational design and synthesis of QP(T-3-Pip) featuring flexibly linked isomeric piperidinium cations via a Friedel-Crafts polyhydroxyalkylation between terphenyl and commercial 3-piperi
Background: The purpose of this analysis was to revisit the open US Food and Drug Administration (FDA) inspection list results from clinical trials and show the possibilities of evaluating inspection results between different world regions and explore what aspects of clinical trial deficiencies are most often reported.Aims: The aim of this study was to evaluate inspection results from different re
As the impact of climate change intensifies, there is an urge to adapt Swedish residential buildings with a special focus on improving their energy efficiency and resilience. In this study, adaptive strategies through Artificial Intelligence and Reinforcement Learning will be provided for the energy management of different Swedish residential buildings. The aim will be the optimization of energy u
Abstract: Perfusion MRI techniques—including dynamic susceptibility contrast (DSC) MRI, dynamic contrast-enhanced (DCE) MRI, arterial spin labeling (ASL) MRI, and intravoxel incoherent motion (IVIM) MRI—hold strong potential as imaging techniques for diagnosing, staging, and monitoring disease across a range of clinical applications. However, clinical adoption, especially of quantitative parameter
Lithium-ion batteries (LIBs), particularly Nickel-Cobalt-Aluminum (NCA) variants, are widely recognized as essential for applications such as electric vehicles, renewable energy storage, and portable electronics. The superior energy density, extended lifespan, and thermal stability of NCA batteries make them a preferred choice for demanding applications, including electric marine propulsion. In th
A set of nineteen C-galactopyranosyl ligands, which included constrained compounds based on a bicyclic trans-decalin type system. were synthesized via click chemistry from 2-(β-d-C-galactopyranosyl) ethylene azide intermediates. The compounds were evaluated for binding to various galectins and the most promising inhibitor from the series was a constrained 3-O-benzylated galactopyranose derivative,
INTRODUCTION: Health promotion in everyday settings is of great importance for both individual health and organizational sustainability. A settings-based approach emphasizes how social, physical, and organizational contexts shape the conditions for health. Central principles in health promotion are participation, empowerment, and person-centeredness, which emphasize the active role of the person o
Denna avhandling undersöker styrningen av koldioxidavskiljning och -lagring (CCS) i den nuvarande fasen av policydriven implementering inom europeisk klimatpolitik. Min forskning placeras i mellan etablerad kritik av CCS och dess framväxande, centrala roll i bindande nettonollstrategier. Jag intar en kritiskt pragmatisk hållning som erkänner att CCS är en omtvistad teknik som innebär risker för inThis thesis examines the governance of Carbon Capture and Storage (CCS) technology in its current phase of policy-driven deployment within European climate policy. Positioned in the gap between established critique of CCS and its newly central role in binding net-zero strategies, my research adopts a critical-pragmatic stance to acknowledge that CCS is a contentious technology embodying risks of c
This case study investigates the development of subject-specific literacy in Physical Education and Health (PEH) for second language (L2) learners within a Swedish secondary school context. Integrating Systemic Functional Linguistics (SFL) and Legitimation Code Theory (LCT), the study introduces the concept of embodied cohesion to analyze how meaning is constructed across verbal, graphic, and phys
In order for any learning-based model to be considered reliable, it needs a well-behaved uncertainty or confidence estimate. Most modern neural networks do produce a confidence estimate in the form of their softmax output probability. However, the softmax probability is invalid for out-of-distribution data. Gaussian processes are known to produce a well-behaved confidence estimate that is aware of
Case study research plays an important role for social and political scientists working within the qualitative tradition, with the field of international relations (IR) being no exception. This article provides methodological reflections on the challenges of investigating ‘elusive’ cases within the global governance domain of IR. Taking stock of my experience of studying global multi-stakeholder p
Children with hemophilia have a significantly higher risk of intracranial hemorrhage (ICH) compared to the normal population. Prophylaxis reduces the risk of ICH and earlier initiation of prophylaxis may now be feasible, especially in hemophilia A (HA). The aim of the study is to explore the potential for preventing ICH by earlier start of prophylaxis by assessing the natural course of ICH before
In contemporary enterprises, customer satisfaction analysis has become a critical area of concentration. Being able to understand and predict customer satisfaction is becoming more and more important as companies try to develop and launch new products. Leveraging customer data intelligently and employing robust data analytics techniques are essential for meeting this imperative. With this objectiv
Plasma p-tau217 and tau positron emission tomography (PET) are strong prognostic biomarkers in Alzheimer’s disease (AD), but their relative performance in predicting future cognitive decline among cognitively unimpaired (CU) individuals is unclear. In a head-to-head comparison study including nine cohorts and 1,474 individuals, we show that plasma p-tau217 and medial temporal lobe tau-PET signal d
