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Extended Reality (XR) serves as a broad term that encompasses several immersive technologies, including Augmented Reality (AR), Mixed Reality (MR), and Virtual Reality (VR). Currently, most XR devices are connected by cables, which restrict user mobility and negatively impact the overall Quality of Experience (QoE) for users. XR devices face limitations not only in terms of connectivity but also i
Introduction: Extrauterine pregnancy (EP), represents a significant challenge in reproductive medicine, manifesting in approximately 2% of all pregnancies, primarily implanting within the fallopian tubes (95%). Surgery remains a cornerstone in the therapeutic options for ectopic pregnancies. The most common surgical approach at the moment is laparoscopy. However a relatively new surgical technique
Beijing is particularly prone to frequent wintertime haze episodes. In this study, we introduce the FLEXPART (FLEXible PARTicle dispersion model) and SOSAA (the model to Simulate the concentration of Organic vapors, Sulfuric Acid, and Aerosols) modeling system for air quality analysis and applied the newly developed modeling system to a severe pollution episode during a case study in Beijing in No
Precise statistics about crop types and productions can support establishing more efficient decisions in the food security framework. The applicability of remote sensing imagery has been confirmed worldwide in crop-related studies. In this chapter, time series Sentinel-1 and Sentinel-2 images were integrated, along with crop inventory, to generate crop-type maps in Imperial County, CA, USA, within
Remembering everyday events involves noticing what different experiences share and preserving the details that set them apart, yet the neural processes supporting this balance remain unclear. Here, we record EEG while participants view naturalistic movie scenes that introduce episodic events with overlapping elements. Using time-resolved representational similarity analysis, we find that these eve
Objectives Critically ill COVID-19 patients admitted to the intensive care unit (ICU) are at an increased risk of acquiring bacterial bloodstream infections (BSI). We aimed to describe patient characteristics, risk factors, and the microbiological spectrum in blood cultures and evaluate the impact of ICU-acquired BSI on outcomes in a Nordic setting. Methods A prospective multicenter cohort study w
The 2021 edition of Lund Architecture Symposium (LAS21) will address the emergence of transformatory practices in architecture.The pressing contemporary challenges in global discourse require architects to dissolve – even obliterate – the conventional boundaries between design and implementation. These transformatory practices combine multiple skills from various industries to advance the conjavas
Many of society’s critical infrastructures, such as power supply, telecommunications, and transportation, have become increasingly interconnected. While this gives rise to increased efficiency, tighter connections also invites increased vulnerability and the risks of cascading failures. Moreover, at the same time as many of these vital systems have become increasingly dependent on one another, the
Multi-Criteria Evaluation Analysis (MCEA) is a decision making method employed to solve optimization problems that require the evaluation of a set of criteria to build an optimal decision. Where MCEA is integrated with GIS, optimization problems with spatial aspects, such as finding the best location of a facility across an area, could be solved. MCEA is implemented through different criteria dec
Bästa resultat får du om du öppnar den här PDF-portföljen i Acrobat X eller Adobe Reader X eller senare. Hämta Adobe Reader nu! http://www.adobe.com/go/reader_download_se Rektor Riskvärdering för Lunds universitet Enligt förordningen om intern styrning och kontroll (SFS 2007:603) ska universitetet göra en riskanalys i syfte att identifiera omständigheter som utgör risk för att de krav som framgår
https://www.lu.se/sites/www.lu.se/files/protokoll-bilagor-us150612.pdf - 2026-05-19
Enumeration of circulating tumor cells (CTCs) obtained from minimally invasive blood samples has been well established as a valuable monitoring tool in metastatic and early breast cancer, as well as in several other cancer types. The gold standard technology for detecting CTCs in blood against a backdrop of millions of leukocytes is the FDA-approved CellSearch system (Janssen Diagnostics), which r
This study explores the potential of utilizing hardware built for Machine Learning (ML) tasks as a platform for solving linear Partial Differential Equations via numerical methods. We examine the feasibility, benefits, and obstacles associated with this approach. Given an Initial Boundary Value Problem (IBVP) and a finite difference method, we directly compute stencil coefficients and assign them
The problem of substructure characteristic modes is developed using a scattering matrix-based formulation, generalizing subregion characteristic mode decomposition to arbitrary computational tools. It is shown that the modes of the scattering formulation are identical to the modes of the classical formulation based on the background Green’s function for lossless systems under conditions where both
In this paper, we propose an approach that combines Vision Language Models (VLMs) and Behavior Trees (BTs) to address failures in robotics. Current robotic systems can handle known failures with pre-existing recovery strategies, but they are often ill-equipped to manage unknown failures or anomalies. We introduce VLMs as a monitoring tool to detect and identify failures during task execution. Addi
The AI Act marks a new chapter in AI governance, affecting companies around the world seeking to offer their services within the European Union. This study focuses on the comprehensive AI Act requirements set out for high-risk AI systems. We explored the perceived compliance challenge for the AI Act's high-risk requirements and associated contributing factors; the AI Act's impact on industry in te
The current Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommend the use of the bedside creatinine-based Chronic Kidney Disease in Children (CKiD) equation to estimate glomerular filtration rate (GFR) in children and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in adults. However, this approach causes implausible changes in estimated GFR (eGFR) at the
It is shown that the behavior of an m-port circuit of maximal monotone elements can be expressed as a zero of the sum of a maximal monotone operator containing the circuit elements, and a structured skew-symmetric linear operator representing the interconnection structure, together with a linear output transformation. The Condat–Vũ algorithm solves inclusion problems of this form, and may be used
The ability to learn new tasks and quickly adapt to different variations or dimensions is an important attribute in agile robotics. In our previous work, we have explored Behavior Trees and Motion Generators (BTMGs) as a robot arm policy representation to facilitate the learning and execution of assembly tasks. The current implementation of the BTMGs for a specific task may not be robust to the ch
Aim: To determine the prevalence of neurobehavioral symptoms at 6.5 years in children born extremely preterm (EPT, <27 weeks' gestation). Methods: Population-based cohort study of infants born EPT in Sweden from 2004 to 2007. Of 486 survivors 375 were assessed and compared with 369 matched term-born controls. EPT children free from neurosensory and intellectual disabilities (neurodevelopmental dis
Lactic acid is a platform chemical that can be used for many applications. More recently, optically pure lactic acid—L- or D-lactic acid enantiomers—have been used for the polymerisation to poly-lactic acid (PLA). The possibility of tailoring the properties of this bioplastic by adjusting the ratio of each enantiomer might help to accelerate the substitution of petroleum-based plastics with bio-ba
