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Metabolic Profiling of Obesity With and Without the Metabolic Syndrome : A Multisample Evaluation

Context: There is a dispute whether obesity without major metabolic derangements may represent a benign condition or not. Objective: We aimed to compare the plasma metabolome in obese subjects without metabolic syndrome (MetS) with normal-weight subjects without MetS and with obese subjects with MetS. Methods: This was a cross-sectional study at 2 academic centers in Sweden. Individuals from 3 pop

Electromechanical coupling in polaronic ceria

Oxygen-defective metal oxides like cerium oxides exhibit giant electrostriction and field-induced piezoelectricity due to a dynamic electrosteric interplay between oxygen defects, V O ⋅ ⋅ , and the fluorite lattice. While such mechanisms are generally attributed to oxygen vacancies, recent results also highlight that trapped cationic defects, Ce Ce ′ , i.e. small polarons, can contribute to the el

Framework for assessing situational awareness in Beyond Visual Line of Sight UAV operations

We present an Unmanned Aerial Vehicle (UAV) human-robot interaction simulation environment to evaluate operator situational awareness (SA) during Beyond Visual Line of Sight (BVLOS) operations. We have developed a modular simulator that functions as a testbed for the design of custom scenarios and the study of human-robot interaction. This simulator facilitates data collection and allows for the c

Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

In clinical practice, the glomerular filtration rate (GFR), a measurement of kidney functioning, is normally calculated using equations, such as the European Kidney Function Consortium (EKFC) equation. Despite being the most general equation, EKFC, just like previously proposed approaches, can still struggle to achieve satisfactory performance, limiting its clinical applicability. As a possible so

Innovationsbroschyr se low 1

LUNDS UNIVERSITET FORSKNING OCH INNOVATION Ny mEDICIN mOT bLODCANCER 5u mED STADEN SOm mILjöFöREbILD 6u LUNDENSISKA INNOVATIONER OCH UPPTÄCKTER 8 - 9u STORA FöRVÄNTNINGAR På KRAFTFULLT mIKROSKOP 10u 2 EN bREDARE SyN På INNOVATION LUNDS UNIVERSITET ÄR, med sina åtta fakulteter, en enorm kunskapsbank. Ett universitet präglat av mångfald är ett universitet med goda möjlighe- ter till innovation och n

https://www.lu.se/sites/www.lu.se/files/innovationsbroschyr_se_low_1.pdf - 2026-06-02

MedTech Companies In Skåne-1

MedTech Companies in Skåne Page 1 of 43 Medicon Bridge 2025-05-14 MedTech Companies in Skåne A.Menarini Diagnostic Place: Malmö Description: Menarini Diagnostics is committed to bringing innovative solutions in the In Vitro Diagnostics market and to the development of high- tech diagnostics systems and reagents to improve patients' quality of life, providing healthcare professionals with the best

https://www.bme.lth.se/sites/bme.lth.se/files/2026-05/MedTech%20Companies%20in%20Sk%C3%A5ne-1.pdf - 2026-06-02

Yttrande V 2023-331 S-fak Tryggare Hem För Barn

Lägg till titel Sida 1 av 10 REMISSYTTRANDE Diarienummer V 2023/331 Datum 2023-04-19 Regeringskansliet Yttrande över remissen: Tryggare hem för barn (SOU 2022:71) Samhällsvetenskapliga fakulteten vid Lunds universitet, som anmodats att yttra sig över rubricerade remiss, avger följande yttrande. Yttrandet har utarbetats av docent Lina Ponnert, fil. dr Lupita Svensson, fil. dr Ulrika Levander och fi

https://www.sam.lu.se/sites/sam.lu.se/files/2023-06/Yttrande_V_2023-331_S-fak_Tryggare%20hem%20f%C3%B6r%20barn.pdf - 2026-06-02

CoAction RVU 2024 Lunds Universitet version 2.0 20250512

Presentationsrubrik på en eller två rader Resultat av resvaneundersökning för Lunds universitet inom ramen för CoAction Lund hösten 2024 Version 2.0 Innehållsförteckning 2 1. Inledning 5 2. Övergripande utgångsläge 2024 7 Hur nära 1/3-delsmålet? 8 Bostadsort 10 Antal dagar på arbetet respektive på distans 11 Drivmedel 13 3. Arbetspendling 14 Färdmedelsfördelning vid resor till arbetet 15 Insatser

https://www.medarbetarwebben.lu.se/sites/medarbetarwebben.lu.se/files/2025-08/CoAction%20RVU%202024%20Lunds%20universitet_version%202.0_20250512.pdf - 2026-06-02

Binary Forward-Only Algorithms

Today, the overwhelming majority of Internet of Things (IoT) and mobile edge devices have extreme resource limitations, e.g., in terms of computing, memory, and energy. As a result, training Deep Neural Networks (DNNs) using the complex Backpropagation (BP) algorithm on such edge devices presents a major challenge. Forward-only algorithms have emerged as more computation- and memory-efficient alte

Sport surfaces in warm and dusty climate

This thesis is trying to identify and give solutions for the problems occurring in polyurethane sport surfaces in Iraq where the climate is extremely warm and dusty. One of the most important problems (called the ‘maintenance’ problem) is that the polyurethane sport surface looks very dirty because of the dust, a couple of weeks after installation of the surface the dust particles penetrates the s

Direct Imaging of Nanoscale Ferroelectric Domains and Polarization Reversal in Ferroelectric Capacitors

Ferroelectric thin films present a powerful platform for next-generation computing and memory applications. However, domain morphology and dynamics in buried ferroelectric stacks have remained underexplored, despite their importance for real device performance. Here, nanoprobe X-ray diffraction (nano-XRD) is used to image ferroelectric domains inside BiFeO3-based capacitors, revealing local disord

Membership Inference Attack in Random Forests

Machine Learning (ML) offers many opportunities, but its reliance on personal data raises privacy concerns. One such example is the Membership Inference Attack (MIA), which aims to determine whether a specific data point was part of a model’s training dataset. In this paper, we investigate this attack on Random Forests (RFs) and propose a method to quantify their vulnerability to MIA. We also demo

Federated Learning for Obstacle Detection to Assist the Visually-Impaired Using Augmented Reality

Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f

A Unified Framework for Real-Time Failure Handling in Robotics Using Vision-Language Models, Reactive Planner and Behavior Trees

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

Pinsamt att ha pojkvän? - the female gaze och konstruktionen av manlighet online

I samtida digital kultur har sociala medieplattformar blivit centrala arenor för förhandlingar kring kön, intimitet och attraktion. Tidigare forskning har i hög grad fokuserat på hur kvinnor representeras och objektifieras online, medan mindre uppmärksamhet har ägnats åt hur kvinnor kollektivt tolkar, kategoriserar och värderar män i digitala miljöer. Denna studie adresserar denna forskningslucka

Active commuting and atherosclerosis in a population-based sample of middle-aged adults : the Swedish CArdioPulmonary bioImage study (SCAPIS)

Objective To investigate the relationship between active commuting and atherosclerosis in middle age using state-of-the-art coronary CT angiography (CCTA). Methods This cross-sectional study used data from the Swedish CArdioPulmonary bioImage Study (SCAPIS) and included 23 722 randomly recruited individuals aged 50–64 years from six different regions in Sweden. The exposure was commuting mode, ass