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The Rieger syndrome is an autosomal dominant disease characterized by ocular, craniofacial, and umbilical defects. Patients have mutations in PITX2, a paired-bicoid homeobox gene, also involved in left/right polarity determination. In this study we have identified a family of genes for enzymes responsible for hydroxylizing lysines in collagens as one group of likely cognate targets of PITX2 transc

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Stormwater management is essential for preventing urban flooding and protecting water quality in receiving bodies. Traditionally viewed as a nuisance, stormwater is now being re-evaluated as an alternative resource for non-potable uses such as toilet flushing and irrigation through rainwater harvesting systems (RWHS). Within the European Union's Horizon 2020 project REWAISE, pilot studies with cer

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Galactoglucomannan (GGM) has been identified as a valuable resource and can be used in fields such as oxygen barrier films, food coatings or hydrogels. This hemicellulose can be extracted from softwood using steam explosion (STEX) under mild conditions. However, the GGM-solution also contains impurities such as lignin, lignin-carbohydrate complexes, organic acids, and salts, which require further

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Alternative food initiatives are vital for transforming food systems towards sustainability by challenging, replacing, and complementing the status quo. Understanding how these initiatives contribute to transformation requires attention not only to their intended outcomes but also to the processes through which these outcomes contribute to broader social change. Existing assessment frameworks rare

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INTRODUCTION: There is substantial heterogeneity in the reporting of outcomes in the global cranioplasty literature. This study aimed to establish a core outcome set (COS) for cranioplasty after decompressive craniectomy for stroke or traumatic brain injury.METHODOLOGY: The scope was defined according to the criteria recommended by the Core Outcome Measures in Effectiveness Trials (COMET) Initiati

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This paper explores the challenges and barriers of forced migrants at the nexus of housing and social integration, presenting the outcomes of an international and interdisciplinary collaboration funded by the JPI Urban Europe programme. Research includes the case study cities Leipzig, Lund, Riga, and Vienna, utilizing primary and secondary data in a transdisciplinary process involving theoretical

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Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) is a multilevel regression approach grounded in intersectionality theory. It examines inequalities across intersections of social identities (e.g., gender, ethnicity, class) and is argued to provide more accurate predictions of intersectional means than conventional methods that estimate group means directly or vi

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For circular retail models to successfully replace linear consumption in the future, retailers must understand the lived reality of second-hand customer journeys. However, existing customer journey mapping methods often fail to capture the non-linear, phygital, and multi-retailer nature of such journeys. This article introduces ‘messy customer journey self-mapping’, a novel qualitative method desi

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Cardiac rehabilitation (CR) is a well established intervention for secondary prevention after myocardial infarction (MI), yet substantial variability in CR delivery and patient outcomes persists globally. This review provides an in-depth overview of the SWEDEHEART-CR registry, a comprehensive Swedish national quality registry that has facilitated continuous quality improvement and clinical researc

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BACKGROUND: A growing body of evidence links microRNAs (miRNAs) to major depressive disorder (MDD). However, the causal nature of these associations remains unclear.OBJECTIVES: This study aimed to investigate the potential causal association between miRNAs and MDD by combining Mendelian Randomization (MR) analyses and experimental validation.METHODS: Single-nucleotide polymorphisms (SNPs) signific

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Psychological distress, including depression, anxiety, and stress, requires time-efficient assessment tools suited for digital and momentary settings. The Screening Tool for Psychological Distress (STOP-D) is a five-item scale developed for brief mental health screening, but it has not yet been validated in Swedish. This study aimed to evaluate the psychometric properties and diagnostic accuracy o

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Time-domain induced polarization (TDIP) data carry spectral information that can be used for petrophysical interpretation. At the same time, TDIP data can be collected in the field more efficiently than frequency-domain induced polarization (FDIP) data, thanks to the use of square-wave signals. However, TDIP field data are prone to noise, particularly strong near industrial installations and urban

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OBJECTIVES: To identify the lowest sensitivity and specificity that physicians and the general population consider acceptable for medical artificial intelligence (AI), relative to current human performance.METHODS: In a nationwide, cross-sectional survey in Sweden, 2025, random samples of 500 physicians and 500 adults from the general population were mailed a questionnaire presenting three vignett

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The optical response of gold-silver (Au-Ag) alloy nanoparticles is strongly influenced by their localized surface plasmon resonance (LSPR), which can be tuned by varying the particle composition. Accurate simulation of LSPR, often performed using Mie theory, critically depends on the choice of dielectric function, yet available datasets for gold, silver, and their alloys vary widely. In this work,

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The fields of cultural tourism and heritage management are gaining attention for their potential to be better linked, particularly in terms of practical applications. This paper proposes a taxonomy of heritage resources and related heritage-based tourism types and their linkages for specific case study areas, building on the established product class approach in cultural tourism studies. The resea

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A quantitative understanding of the hydro-environmental factors that influence the occurrence of agricultural drought events would enable more strategic climate change adaptation and drought management plans. Practical drought hazard mapping remains challenging due to possible exclusion of the most pertinent drought drivers, and to the use of inadequate predictive models that cannot describe droug

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Considering the ever increasing financial damages of floods and the need to manage the surface water, the use of new and more sufficient methods seems to be necessary. Therefore, the present study aims to investigate capability of the Gamma, Beta, Chi-square, and Weibull probability distribution functions (PDFs) for flood hydrograph derivation. The present study was conducted in the Bar watershed,