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TRIPS 2.0 : Toward more comprehensive modeling of radiocaesium cycling in forest

Because internal transfers can play a key role in radiocaesium persistence in trees, a reliable representation of radiocaesium recycling between tree organs in forest models is important for long-term simulations after radioactive fallout in Chernobyl and Fukushima. We developed an upgraded 2.0 version of the initial TRIPS (“Transfer of Radionuclides In Perennial vegetation System”) model involvin

Potential threat to human health during forest fires in the Belarusian exclusion zone

Forest fires are of special interest for Belarus because of radioactive contamination caused by the 1986 accident at the Chernobyl Nuclear Power Plant. This work aims to determine the potential activity of long-lived radionuclides in surface air caused by forest fires and to estimate the potential health threat to firefighters. The methodology is based on measurements of radioactivity released by

INVITED TALK for sub-area “Emissive, Micro‐LED, and Quantum‐Dot Display” : On the strive towards all-InGaN sub-2µm sized RGB microLEDs

III-Nitride based LEDs based on InGaN active layers on GaN work very well for the blue and green emitting LEDs. However, the large lattice mis-match between redemitting active layers, with at least 35% indium in the active layers, and the GaN substrate still limits the efficiencies obtained to very low values. Unfortunately, the approach to use GaAs based (GaAs/AlInGaP) devices for the red fails f

Key Recovery Attacks on Approximate Homomorphic Encryption with Non-Worst-Case Noise Flooding Countermeasures

In this paper, we present novel key-recovery attacks on Approximate Homomorphic Encryption schemes, such as CKKS, when employing noise-flooding countermeasures based on non-worst-case noise estimation. Our attacks build upon and enhance the seminal work by Li and Micciancio at EUROCRYPT 2021. We demonstrate that relying on average-case noise estimation undermines noise-flooding countermeasures, ev

Effectiveness of JAK Inhibitors Compared With Biologic Disease-Modifying Antirheumatic Drugs on Pain Reduction in Rheumatoid Arthritis : Results From a Nationwide Swedish Cohort Study

Objective: To compare the effectiveness of JAK inhibitors (JAKis) and biologic disease-modifying antirheumatic drugs (bDMARDs) on pain in patients with rheumatoid arthritis. Methods: In this retrospective study, we investigated patients with a diagnosis of rheumatoid arthritis, starting treatment with a JAKi (n = 1,827), a tumor necrosis factor inhibitor (TNFi; n = 6,422), an interleukin-6 inhibit

High Resolution ISAR Imaging Methods for RCS Data Analysis

Radar Cross Section measurement data is often analyzed using Inverse Synthetic Aperture Radar images. Backprojection is the conventional method to create these images but is limited in resolution. This paper builds on developments of ℓ1-minimization and iterative smooth reweighted ℓ1-minimization to get superresolution and adding another processing step with Gaussian smoothing. This step improves

Mapping the impact of malnutrition as defined by the Global Leadership Initiative on Malnutrition and nutrition impact symptoms on the possibility of returning to work after treatment for head and neck cancer

Purpose: This study aimed to investigate whether malnutrition or nutrition impact symptoms (NIS) affect the possibility of returning to work after treatment for head and neck cancer. Methods: Patients of working age with head and neck cancer were followed up from treatment initiation to 3 months (n = 238), 1 year (n = 182), and 2 years (n = 130) after treatment completion. The observed decrease in

Early Detection of Forest Bark Beetle Attack Using Time Series Spatial Variability of Spectral Indexes from Sentinel-2

Bark beetle infestations pose a significant threat to forest ecosystems, necessitating timely intervention for effective management and conservation. This study focuses on an 8,100 km2 area in southern Sweden, heavily impacted by a bark beetle outbreak triggered by a severe drought in 2018. Using spectral indices derived from Sentinel-2 data, it explores the potential of a window-based approach fo

Is Gen Z a pro-SDG generation? A critical review and reflection

Generation Z (Gen Z) will soon become the biggest living generation and the most dominant in terms of population and economic power, making them one of the tourism industry’s fastest-growing segments and a crucial market to target. There is growing evidence that Gen Z is concerned about the environmental and social effects of their consumption and is guided by strong ethical and environmental idea

Music and reading activities in early childhood associated with improved language development in preterm infants at 2–3 years of age

Introduction: Children born preterm are at increased risk for adverse neurodevelopmental outcomes. Music and reading activities in childhood could ameliorate these difficulties, as they have shown benefits on both neural and behavioral levels. However, only a few studies have assessed these potential benefits in preterm-born children. We investigated whether music and language activities in early

Ductus venosus opens in high-risk pregnancies without signs of increased central venous pressure

Objectives: It has been belived that changes in diastolic blood velocities in the fetal ductus venosus were due to increased central venous pressure secondary to increased fetal heart strain during hypoxia or heart failure. There have been recent reports of changes in ductus venosus blood velocity without signs of increased fetal heart strain. The aim of this evaluation was to compare blood veloci

BeBOP-Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks

Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned manually, the current, faster transition times call for robust, modular and interpretable solutions that also allow a robotic system to learn how to perform a task. We propose the method Behavior-based Bayesian Optimizatio

18 F-FDG-PET/CT in breast cancer imaging : Restaging and Implications for treatment decisions in a clinical practice setting

Background and purpose: Although the diagnostic accuracy of 18F-fluorodeoxyglucose – positron emission tomography/computed tomography (18F-FDG-PET/CT) for breast cancer (BC) has been well studied, few studies have evaluated the impact of 18F-FDG-PET/CT on BC patient care. This study aimed to investigate restaging and 18F-FDG-PET/CT-induced changes in clinical decision-making in patients with BC. M

Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT

Background: Access to sample-level metadata is important when selecting public metagenomic sequencing datasets for reuse in new biological analyses. The Standards, Precautions, and Advances in Ancient Metagenomics community (SPAAM, https://spaam-community.org) has previously published AncientMetagenomeDir, a collection of curated and standardised sample metadata tables for metagenomic and microbia

Faithful graphical representations of local independence

Graphical models use graphs to represent conditional independence structure in the distribution of a random vector. In stochastic processes, graphs may represent so-called local independence or conditional Granger causality. Under some regularity conditions, a local independence graph implies a set of independences using a graphical criterion known as δ-separation, or using its generalization, µ-s