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This paper presents a novel convolutional neural network (CNN)-based control chart for detecting localized and subtle speckle shifts (displacements) in the images. To enhance detection accuracy, especially in detecting localized and simultaneous shifts, we design a custom CNN architecture and utilize a training methodology. Moreover, instead of inputting the entire images, we divide them into equa
Objective: To identify and quantify risk factors for incident knee osteoarthritis (KOA) across the lifespan. Methods: This systematic review and meta-analysis identified eligible studies from seven electronic databases and three registries. Longitudinal cohort studies or randomised controlled trials evaluating participants who developed incident symptomatic and/or radiographic KOA were included. T
Background and purpose: Angiosarcoma (AS), a rare and highly malignant tumour, can manifest spontaneously (primary AS, pAS) or secondary to previous radiation, exposure to chemical agents or Stewart-Treves syndrome (secondary AS, sAS). The aim of this study was to characterise the clinical presentation, management, treatment and outcome—including local recurrence, metastasis and overall survival—a
This study presents an approach of inventory, morphometric analysis, and geoconservation assessment of the exceptional denudation landforms of the Markovi Kuli geosite in North Macedonia. By integrating Digital Elevation Models (DEM) and orthophoto imagery processed from the UAV-based aerial photos of the area using Agisoft Metashape software, a high-resolution 0.1 m 3D model is produced. The mode
BackgroundAntibiotics are handled in large amounts at hospitals at many different wards due to the wide range of bacterial infections that are treated. Unnecessary use and occupational exposure to antibiotics should be avoided due to the risk of bacterial resistance development and adverse health effects including skin and respiratory hypersensitivity reactions in persons handling these drugs.Obje
Objectives: This paper analyzes the educational content of the MinSmerte (MyPain) app, designed to educate patients on postoperative pain management after ambulatory surgery. It examines the complexity of instructional videos, investigating how these relate to the legitimacy claims constructed by educators – defined as assertions about the value of the information based on its relevance, authority
This study examined the role of a daytime nap in the consolidation and generalization of fear learning. 31 healthy, young adult participants (16 in the wake group and 15 in the sleep group) underwent a fear acquisition procedure in which the conditioned stimulus (CS+), a composite image consisting of a geometrical figure imposed on a background, was repeatedly paired with a mild electric shock. Th
The Amazonian Craton is host to one of Earth’s largest Proterozoic silicic large igneous provinces (SLIPs), the Orocaima SLIP (ca. 1.98 Ga). Nevertheless, the mechanism(s) responsible for this large-flux felsic magmatic event and its relationships with regional tectonics and/or mantle processes remain debated. New geochronologic and geochemical results from multiple mafic dike swarms in the Amazon
The complexity of modern healthcare continues to evolve, emphasizing the need for comprehensive collaboration among professionals from diverse backgrounds, patients, and their families to integrate care. Multidisciplinary team meetings (MDTMs) have emerged as an opportunity to advance interprofessional collaborative practice. However, despite their growing prevalence in clinical and educational co
Knee osteoarthritis (OA) and obesity are closely linked, with obesity being the primary risk factor for OA. This study used the medial meniscus of sows (250 kg, 4–6 years old) as a model for spontaneous OA, comparing them to lighter pigs (110 kg, 7–8 months old). The joints were collected according to the 3Rs principles (Replacement, Reduction and Refinement) and compared using macroscopic and mic
Accurate labels are critical for deriving robust machine learning models. Labels are used to train supervised learning models and to evaluate most machine learning paradigms. In this paper, we model the accuracy and cost of a common weak labeling process where annotators assign presence or absence labels to fixed-length data segments for a given event class. The annotator labels a segment as "pres
In Nordic countries, demand response (DR) programs are critical for enhancing energy flexibility and reducing peak electricity consumption in buildings and industry. Accurate short-term demand forecasting is essential to support these programs, especially in the context of cities with varying levels of data availability. This paper compares three different forecasting approaches for hourly electri
The Galactic center and inner disk of the Milky Way contain complex stellar populations obscured by heavy dust extinction. To study their chemical composition, high-resolution near-infrared (near-IR) spectroscopy is necessary. Expanding the set of elements measurable in the near-IR, especially neutron-capture elements, improves our ability to trace nucleosynthesis and Galactic chemical evolution.
Work and working conditions are fundamental social determinants of health. Climate change poses an urgent and growing threat to workers' health, through both direct exposure to environmental hazards and indirect exacerbation of social and health inequalities. Occupational health, which focusses on the promotion of mental and physical health and well-being of workers, is a key but often overlooked
In humans, a well-developed serotonin system is localized to the pancreatic islets while being absent in exocrine pancreas. Assessment of pancreatic serotonin biosynthesis could therefore be used to estimate the human endocrine pancreas. Proof of concept was tested in a prospective clinical trial by comparisons of type 1 diabetic (T1D) patients, with extensive reduction of β-cells, with healthy vo
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
Jorunn Joiner and Mari Komnæs also employ digital tools, albeit other ones, to shed light on the interaction between narratives of exceptionalism, travel, and place. In ‘Mapping Nordic Exceptionalism with GIS: The Odin Migration Theory and the Search for a Northern Heritage’, they use digital mapping tools to visualise the journeys of two travellers from different centuries in their search for a N
The question of the legal permissibility of heritable gene editing techniques is unsettled. The international consensus opposes clinical research and applications involving germline modifications. Building on previous work, this paper examines how international human rights law, particularly human right to science standards, can inform the regulation of this controversial advancement. We present t
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time
