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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
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
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
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
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
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
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
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
Iridium ditelluride (IrTe2) as a two-dimensional (2D) transition metal dichalcogenide (TMDC) has attracted significant attention as a promising catalyst for oxygen evolution reactions (OERs). Although its electrochemical performance has been explored, detailed surface–state analyses are essential to fully elucidate the underlying catalytic mechanisms. Here, we fabricated surface-modulated IrTe2 th
Bifunctional DNA glycosylases employ an active site lysine or the N-terminus to form a Schiff base with an abasic (AP) site base excision repair intermediate. For 8-oxoguanine DNA glycosylase 1 (OGG1), cleaving this reversible structure is the rate-determining step in the initiation of 8-oxoguanine (8-oxoG) repair in DNA. Evolution has led OGG1 to use a product-assisted catalysis approach, where t
Photonics technologies play a crucial role in driving technological advancements within the agrifood industry, aiming to deliver a sustainable food and agriculture, and offering healthy, nutritious and safe food for all of us. Particularly, optical sensors and imaging systems, together with machine-learning processing and advanced lighting, play a pivotal role in monitoring crop and soil health wi
Nyborg, L. & Psouni, E. (2023). , 1
Temperature variability and long-term warming are increasingly threatening agricultural sustainability in southern Rwanda, where smallholder farmers rely on climate-sensitive crops. However, comprehensive spatiotemporal assessments of temperature extremes and their impacts on agriculture remain limited. This study used daily minimum and maximum temperature data from 1983 to 2021 for Huye District,
Accurately predicting head motion is essential for reducing motion-to-photon (MTP) latency in XR systems. However, standard evaluation practices often conflate true prediction error with residual calibration artifacts-such as global rotation bias, lever-arm offsets, or sub-frame time skews-even after alignment. These small but realistic miscalibrations can dominate reported errors and obscure the
As populations age and multimorbidity becomes increasingly prevalent, the demand for high risk surgical procedures continues to rise. Although short term surgical outcomes in Sweden are generally favourable, evidence regarding long term morbidity and mortality following non cardiac surgery remains limited. This thesis investigates perioperative determinants of long term outcomes, with the aim of i
OBJECTIVES: Implementation of the Stroke Action Plan for Europe (2018-2030) (SAP-E) was initiated in 2019. It is now updated at mid-term to reflect and respond to challenges for stroke care in Europe in 2025. METHODS: The SAP-E covers the entire chain of stroke care. The sections (state of the art, current status and targets) were developed by working groups and finalised based on inputs from the
In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The
