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Damselflies (Odonata: Zygoptera) have evolved highly developed visual systems for mate recognition, flight and prey detection. Wing Interference Patterns (WIPs), which are colors generated by thin-film interference in the wing membrane, could function as visual signals and play a role in sexual selection. Because the color of these signals depends on membrane thickness, a potential conflict exists

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Climate change calls for adaptive strategies to manage land system across governance levels, as differing multi-level policies distinctly shape land system and long-term ecosystem resilience. This study proposes an iterative approach for optimizing land-use pathways that balance competing policy objectives across national, provincial, and local levels without compromising ecosystem integrity in a

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Background: Creatinine-based estimated glomerular filtration rate (eGFR) equations are widely used in clinical practice but exhibit inherent limitations. On the other side, measuring GFR is time consuming and not available in routine clinical practice. We developed and validated machine learning models to assess the trustworthiness (i.e. the ability of equations to estimate measured GFR (mGFR) wit

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Cell replacement therapies using human pluripotent stem cell-derived ventral midbrain (VM) dopaminergic (DA) progenitors are currently in clinical trials for treatment of Parkinson’s disease (PD). Recapitulating developmental patterning cues, such as fibroblast growth factor 8 (FGF8), secreted at the midbrain-hindbrain boundary (MHB), is critical for the in vitro production of authentic VM DA prog

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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

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BACKGROUND: The global prevalence of dementia is rapidly expanding and is expected to triple by 2050. Approximately 45 % of dementia cases are estimated to be attributable to potentially modifiable risk factors. Identifying how these factors contribute to specific brain pathologies may improve strategies to reduce dementia incidence.OBJECTIVES, DESIGN, SETTING: The aim of this study was to identif

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Atmospheric inverse modelling and ecosystem data assimilation are two complementary approaches to estimate CH4 emissions. The inverse approach infers emission estimates from observed atmospheric CH4 mixing ratio, which provide robust large scale constraints on total methane emissions, but with poor spatial and process resolution. On the other hand, in the ecosystem data assimilation approach, the

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Atomic layer deposition (ALD) of HfOx layers has emerged as a promising strategy for interface passivation in chalcopyrite-based thin-film solar cells. However, the nucleation dynamics of (Ag,Cu)(In,Ga)Se2 (ACIGS) absorbers remain insufficiently understood, particularly regarding the interplay between absorber composition and alkali postdeposition treatments (PDTs). Here, we employ in situ ambient

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White noise has been proposed to enhance cognitive performance in children with ADHD, but findings are inconsistent, and benefits vary across tasks and individuals. Such variability suggests that diagnostic comparisons may overlook meaningful developmental differences. This exploratory study examined whether developmental characteristics and subjective evaluations of auditory and visual white nois

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Atmospheric inversions are widely used to evaluate and improve inventories of methane (CH4) emissions across scales from global to local, combining observations with atmospheric transport models. This study uses the dense network of in situ stations of the Integrated Carbon Observation System (ICOS) to explore how well in situ data can constrain European CH4 emissions. Following the concept of int

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OBJECTIVE: To explore the cerebrospinal fluid (CSF) proteome in systemic lupus erythematosus (SLE) and the associations between the CSF proteomic patterns and clinical manifestations.METHODS: CSF samples from 29 female outpatients with SLE were analyzed with label-free liquid chromatography tandem mass spectrometry. Inclusion and CSF collection were conducted irrespective of clinical manifestation

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Syftet med denna uppsats är att undersöka hur EU:s reglering av mellanhand-sansvar och de nya processuella skyldigheter som åläggs medieplattformar förhåller sig till det yttrandefrihetsrättsliga skydd som finns i Europakonvent-ionen (EKMR) och EU-stadgan. Uppsatsen innehåller en analys av det grund-läggande skyddet för yttrande- och informationsfriheten som stadgas i artikel 10 EKMR och artikel 1The aim of this study is to examine how the European Union’s regulation of intermediary liability and the new procedural obligations imposed on media platforms relate to the protection of freedom of expression contained in the European Convention on Human Rights (ECHR) and the European Union Charter. The present paper embarks on an analysis of the foundational protection of freedom of expression a

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The incidence of melanoma is rising and will require more efficient diagnostic procedures to meet a growing demand. Excisional biopsy and histopathology is still the standard, which often requires multiple surgical incisions with increasing margins due inaccurate visual assessment of where the melanoma borders to healthy tissue. This challenge stems, in part, from the inability to reliably delinea

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CONTEXT: Statin use is associated with increased risk of type 2 diabetes and mild hyperglycemia. The underlying mechanisms are not well studied and the effect of statin treatment on GLP-1 secretion or production are unknown.OBJECTIVE: To assess the effects of rosuvastatin on GLP-1 secretion and production.METHODS: We performed association studies in the Malmö Diet and Cancer study cardiovascular c

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Scale invariance is a ubiquitous observation in the dynamics of large distributed complex systems. The computation of its scaling exponents, which provide clues on its origin, is often hampered by the limited available sampling data, making an appropriate mathematical description a challenge. This work investigates the behavior of correlation functions in fractal systems under conditions of severe