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Closed-form conditions for bound states in the continuum are derived for planar, cylindrical, and spherical cavities enclosed by metasurfaces with electric and magnetic response. While the combined response in lossless systems enables field confinement in arbitrarily small cavities, the gain-enabled bound states in the continuum are found to coalesce with a laser mode, leading to intriguing single

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Given the increasing number of heterogeneous data stored in relational databases, file systems or cloud environment, it needs to be easily accessed and semantically connected for further data analytic. The potential of data federation is largely untapped, this paper presents an interactive data federation system (https://vimeo.com/319473546) by applying large-scale techniques including heterogeneo

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The illicit trafficking of cultural heritage represents a significant global challenge, exacerbated by digital technologies that facilitate unauthorised trade while offering new protection opportunities. The ANCHISE project addresses these challenges through a suite of six innovative, complementary tools designed to enhance the detection, prevention, and investigation of cultural property traffick

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Electric power is the foundation of modern society, yet Europe is currently facing an energy crisis, increasing interest in power generation, energy infrastructure, and grid resilience. However, power plant data are complex and multidimensional, making it difficult to gain an overview or understanding. Visualization methods can help to reduce cognitive load and facilitate exploration of such data.

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This paper contributes to semantic representation of human demonstrated actions for robot execution of time constrained tasks. We propose a semantic action encoding method based on interactions between the subject and objects in the scene. Our semantic framework is enriched with a descriptive spatial reasoning method which leads to accurate segmentation and recognition of unique action primitives.

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Background People with Parkinson’s disease (PD) need life-long rehabilitative interventions to slow disease progression and reduce impact of the disease on daily life activities. To be sustainable for the individual, activities should have a positive impact on physical, cognitive and mental health, and should be appealing and meaningful. Aim To quantitatively evaluate the health-related effects of

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Rapidly evolving academic and professional environments require essential skills such as communication, collaboration, creativity and critical thinking, which are not typically learned and assessed explicitly in formal education. These skills encompass a significant part of the competencies and are increasingly valued in an AI-driven workforce because they cannot be easily replicated by machines.

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Background: The recently launched high-throughput assays for detecting antibodies against SARS-CoV-2 has contributed to the managing strategies for the COVID-19 pandemic. This study aimed to investigate the performance of three high-throughput assays and one rapid lateral flow test relative to regulatory authorities' recommended criteria. Methods: A total of 315 samples, including 150 pre-pandemic

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This study presents a simulation-based framework for evaluating energy renovation strategies across European building typologies and climate zones. A factorial parametric approach was used to simulate over 800,000 combinations of envelope assemblies, HVAC systems, and shading controls for three archetypes (single-family, multi-family, office) across five European climate zones under both current a

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Reader with texts by Hannah Arendt, selected by Gertrud Sandqvist

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Background: Normal hand function relies on a finely tuned interaction between the sensory and motor systems within the central and peripheral nervous systems. The central nervous system continuously adapts to changed activity, environmental changes, learning, and injury — a phenomenon known as neuroplasticity. The neuroplasticity is a life-long ability and presents opportunities for therapeutic in

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BACKGROUND: – The arrhythmogenic right ventricular cardiomyopathy (ARVC) risk calculator estimates the risk of incident sustained ventricular arrhythmia (VA) and performs well in ARVC populations meeting 2010 Task Force Criteria. However, the calculator includes no measure of left ventricular (LV) structure and function, while late gadolinium enhancement (LGE) on cardiac magnetic resonance shows p

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Detection of toxic hexavalent chromium in soil, groundwater, industrial effluent, etc., is of significant interest. We demonstrate the electrochemical detection of Cr(VI) using a surface-engineered mesoporous carbon-based material. The mesoporous carbon-based material is obtained by the controlled pyrolysis of a homogenous mixture of Fe and Co complexes of hydrolyzed collagen. The as-synthesized m

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BackgroundTo enable immunotherapy for ovarian cancers, precision targets for immune priming as well as patient stratification approaches are required. The tumor microenvironment in particularly the rare subtypes of low-grade serous, mucinous, clear cell and endometrioid ovarian cancer, remains poorly characterized, and these tumors have been largely ignored in the immuno-oncology setting.MethodsWe

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This study evaluates the performance and biofilm-mediated flux stabilization of a coupled up-flow anaerobic sludge blanket (UASB) reactor and gravity-driven membrane (GDM) system equipped with electrospun nanofiber membranes (ESN) for decentralized wastewater treatment. The system was operated under fully anaerobic conditions at 37 °C over three different hydraulic retention times (HRTs: 24, 16, a

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Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan ov

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INTRODUCTION: Ventilator-associated pneumonia (VAP) is the most frequent healthcare-associated infection in intensive care units and is associated with high morbidity and mortality. Current diagnostic criteria lack specificity, leading to misclassification and unnecessary antibiotic use. Identifying patient subgroups with a common pathophysiological basis (pneumoclusters) may distinguish true VAP

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Objective: Establishing the incidence and types of complications following surgical intervention for ARM, primarily after reconstruction. Patient- and treatment-related risk factors were also determined. Background: Postoperative complications of ARM surgery vary widely, with data predominantly derived from single-center retrospective studies with limited number of patients. Whether factors such a