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This study introduces an efficient workflow for functional data analysis in classification problems, utilizing advanced orthogonal spline bases. The methodology is based on the flexible Splinets package, featuring a novel spline representation designed for enhanced data efficiency. The focus here is to show that the novel features make the package a powerful and efficient tool for advanced functio
Background: Eosinophil-derived neurotoxin (EDN), an eosinophil granule protein, is a candidate biomarker in asthma to reflect eosinophilic activation. Objective: We sought to characterize the distribution of serum and nasal lavage fluid (NLF) EDN levels in different adult population subgroups and assess the determinants of high EDN levels. Methods: Serum and NLF samples were collected from a popul
Work in developmental pragmatics has shown that even though infants display refined mindreading abilities, older children struggle to understand language phenomena that rely on mindreading. This apparent mismatch might be partially explained by considering children's growing sensitivity to social categories such as their interlocutor's age. Based on recent work in philosophy of mind, we investigat
The subject of this research is the application of remote sensing and geographic information systems (GIS) in identifying, monitoring, and analyzing wildfires in the Sana River basin in Bosnia and Herzegovina in 2017. The research aims to determine the weather conditions that favor the occurrence of wildfires and their spatial impact on vegetation and to assess the degree of land degradation after
The Middle Danube (Carpathian) Basin is considered to encompass some of the thickest and most complete records of aeolian dust deposition in Europe, covering the last two glacial–interglacial cycles. In this study, independent, published chronologies based on absolute dating methods were compiled for 34 loess-palaeosol sequences and modelled using Bayesian statistics. Mass accumulation rates (MARs
Code review is a well-established and valued practice in the software engineering community contributing to both code quality and interpersonal benefits. However, there are challenges in both tools and processes that give rise to misalignments and frustrations. Recent research seeks to address this by automating code review entirely, but we believe that this risks losing the majority of the interp
Introduction: Impacts of climate change on human health receive increasing attention. However, the connections of climate change with well-being and mental health are still poorly understood.Objective: As part of the Horizon Europe project TRIGGER, we aim to deepen the understanding of the relationships between climate change and human mental health and well-being in Europe by focusing on environm
This article analyses the ethical and philosophical dimensions of preimplantation genetic diagnosis for creating saviour siblings. It evaluates the moral concerns of autonomy and instrumentalisation, while situating the debate within broader legal and philosophical frameworks of reproductive decision-making.
BACKGROUND: A history of hypertensive disorders of pregnancy is associated with at least twice the risk of incident ischemic heart disease. Whether the long-term outcome following treatment with coronary artery stenting is associated to the history of hypertensive disorders of pregnancy is unknown. METHODS AND RESULTS: We included 8364 women (age ≤65 years) undergoing first coronary artery stentin
Logs are prevalent in modern cloud systems and serve as a valuable source of information for system maintenance. Over the years, many supervised, semi-supervised, and unsupervised log analysis methods have been proposed to detect system anomalies. In particular, semi-supervised methods have garnered increasing attention as they balance reduced labeled data requirements and optimal detection perfor
Principal component analysis (PCA) and k-nearest neighbor (kNN) can be applied to extract and compare activity distributions from electrocorticogram (ECoG) signals across recorded neural activity. Here, we present a protocol for recording ECoG activity from the neocortex of rats and applying PCA and kNN on the recorded data. This protocol allows for comparison between different types of cortical a
Studies on cortical function have been a cornerstone in research trying to understand our brains for a long time. For many years now a basic feature of cortical processing has been the idea of a functional localization, with different areas or even neurons in the cortex having clear, individual, functions. This idea has been challenged from the outset, and with new methods to study the cortex the
BACKGROUND: Oesophagectomy, a corner stone in curative treatment of oesophageal cancer, is a complex procedure with high complication rates. Postoperative gastric tube decompression is debated and some centres are abandoning routine nasogastric (NG) tube use. We hypothesised that postoperative NG tube removal is non-inferior to five days of NG tube decompression, with regard to the risk of anastom
Antibody–enzyme complexes (AECs) are ideal molecular recognition elements for im-munosensing applications. One molecule possesses both a binding ability to specific targets and catalytic activity to gain signals, particularly oxidoreductases, which can be integrated into rapid and sensitive electrochemical measurements. The development of AECs using fragment antibodies rather than intact antibodie
BACKGROUND: Omentectomy has traditionally been performed in gastric cancer surgery, but omental preservation has become increasingly common. It is unclear whether omentectomy leads to additional survival benefit compared with omental preservation. This nationwide population-based cohort study aimed to assess survival and surgical outcomes comparing omental preservation to omentectomy in curative-i
Antibody–enzyme complexes (AECs) are ideal for immunosensing. Although AECs using antibody fragments can be produced by bacterial hosts, their low affinity limits their sensing applications. We have improved the affinity of AECs by combining two antibodies using Catcher/Tag systems; however, it requires multiple antibodies and an enzyme production process. In this study, to realize the production
One challenge in the continuous monitoring of insulin lies with the unavailability of a high-affinity biological recognition element (BRE) with kinetic parameters sufficient to track fluctuating concentrations of insulin in vivo. An approach to overcome this limitation is to engineer a high-affinity BRE to selectively modulate its binding kinetics in response to an external signal. Herein, we desi
This article presents an innovative participatory approach to the ethical aspects of conducting body mapping research. Drawing from experiences from an earlier project with digital sex workers, we examine how body mapping, when integrated with what we term “embodied oscillative ethics,” creates opportunities for meaningful collaboration and knowledge co-creation while addressing complex ethical ch
PurposeTo investigate long-term effects of intravitreal injections on visual outcome, retinal function and structure in eyes with central retinal vein occlusion (CRVO eyes) and macular oedema and compare with untreated CRVO eyes to determine the long-term effects of anti-vascular endothelial growth factor on photoreceptor cell function.MethodsA retrospective study of 38 eyes from 38 CRVO patients.
