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How human exposure levels of air pollutants are related to health status is an issue of great importance for e.g. infrastructural and urban planning. This study analysed the exposure levels of NO2 for individuals depending on their country of birth. The study was conducted within three different study areas of varying characteristics and extent to decide whether any such associations existed and i
This article concerns a field study about the use of non-invasive manual lighting and shading control to save energy in listed buildings. The system was chosen to limit cabling and masonry work. The test room consists of an individual office located in a historical building in Southern Italy. The room was retrofitted with two roller shades (semi-transparent and blackout) and six LED-based pendants
Pituitary tumours, originating from endocrine cells of the anterior pituitary, are quite common, and in most cases well-controlled by surgery or medical treatment. However, a small subset of pituitary tumours presents with multiple local recurrences or tumour progression despite combined surgical, medical or radiotherapeutic treatment. These are known as aggressive pituitary tumours (APT); also ca
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
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
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
Older adults are often portrayed as unwilling or unable to address quality issues in the formal care they receive. This study explores a methodology that captures the everyday reactions of older care users to quality problems, offering a nuanced understanding of their voice and agency when dissatisfied with care services. Using a telephone diary method, eight care users were contacted twice a week
A broad discussion of the ground-state potential-energy surfaces of doubly even deformed and transitional nuclei with Z = 50-82 is presented. The surfaces are calculated microscopically as functions of the quadrupole axial ε and non-axial γ and the axial hexadecapole ε4 deformations. A correlation between the form of the surfaces and the experimental spectroscopic trends is extensively discussed.
Purpose: Prolonged stress leading to sick leave is a serious health problem, and it is crucial to find ways to support recovery. The aim of this review was to synthesize the results from qualitative research about what people with stress-related disorders experience as supportive for recovery. Methods: The systematic review was designed as a qualitative meta-synthesis following the recommendations
Surface water pollution consists of various pollutants like heavy metals (Cu, Cr, Pb, and Ni), metalloids (Se, As, and Ag), and organic pollutants (dyes, antibiotics, pharmaceuticals, pesticides, and phenolic compounds). The escalating issue of water pollution requires innovative solutions for mitigation and climate resilience. Although various advanced techniques are being developed for removing
The intervention Balancing Everyday Life™ (BEL) helps service users achieve a balance among everyday activities and enhance personal recovery. BEL builds upon research for people with mental illness and on evidence from earlier activity-based interventions. This methodological paper presents the theoretical basis for BEL, which rests on five pillars of theories and models. Further, the BEL topics
The field of high energy physics (HEPs) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionised many aspects of the data processing pipeline at collider experiments including the Large Hadron Collider (LHC). In this whitepaper, we discuss the increasingly crucial role that ML plays in real-time analysis (RTA) a
Action-detected two-dimensional electronic spectroscopy (A-2DES) provides valuable insights into ultrafast dynamics within functional materials and devices by measuring incoherent signals like photocurrent. This work details the implementation and optimization of a pulse-shaper-based A-2DES setup, focusing on methodological strategies crucial for acquiring high-fidelity data. We present a comprehe
Although Global Digital Elevation Models (GDEMs) are widely used, their spatial error distributions over extensive regions remain insufficiently understood. Using ICESat-2 Reference Control Points (RCPs) (~ 30 points/km²), this paper not only evaluates GDEMs with point-based metrics such as Root Mean Square Error (RMSE) and Mean Error (ME), but also proposes a novel raster-independent Spatial Erro
