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Extracellular vesicle impact on immunity following blood transfusion

Purpose of the Review: Recent insights into extracellular vesicles (EVs) derived from platelet (PC) and red blood cell concentrates (RBC), which form during blood product processing and storage. Recent Findings: EVs impact transfusion outcomes by modulating immune and inflammatory responses. Acting as lipid mediators and expressing adhesion molecules, EVs contribute to immune signaling via cytokin

Dispersions of weakly charged thermoresponsive microgels at high densities

Poly-N-isopropylacrylamide-based microgels in aqueous dispersion exhibit a pronounced thermoresponse that allows to control their size and thus the volume fraction via temperature. Here, we study the phase behavior of aqueous dispersions of weakly charged microgels with small silica cores, employing different scattering techniques. From temperature- and concentration-dependent experiments in prese

Constraints on the hadronic light-by-light tensor in corner kinematics for the muon g − 2

The dispersive approach to the hadronic light-by-light contribution to the muon g − 2 involves an integral over three virtual photon momenta appearing in the light-by-light tensor. Building upon previous works, we systematically derive short-distance constraints in the region where two momenta are large compared to the third, the so-called Melnikov-Vainshtein or corner region. We include gluonic c

Fatigue in adults with congenital heart disease aged over 40 years

Background: Fatigue is a symptom that has been described among adult patients with congenital heart disease (CHD), but the prevalence and impact of fatigue on the patient's daily life has been poorly studied. This study (i) examines the prevalence of fatigue in patients aged over 40 years with moderately complex or complex congenital heart disease compared to controls and (ii) explores the relatio

Improved TDS forecasting in data-scarce regions using CEEMDAN and AI-driven hydro-climatic analysis

Total dissolved solids (TDS) are a key water quality parameter, reflecting the concentration of dissolved salts in aquatic systems. Accurate TDS forecasting is essential for sustainable water resource management, particularly in data-scarce regions. This study proposes a novel and generalized AI-based framework to forecast TDS up to six months ahead using a limited set of hydro-climatic input vari

The anomalous magnetic moment of the muon in the Standard Model : an update

We present the current Standard Model (SM) prediction for the muon anomalous magnetic moment, aμ, updating the first White Paper (WP20) [1]. The pure QED and electroweak contributions have been further consolidated, while hadronic contributions continue to be responsible for the bulk of the uncertainty of the SM prediction. Significant progress has been achieved in the hadronic light-by-light scat

Force, Fear, and Consent to Marriage : Supplications to the Apostolic Penitentiary in the late Middle Ages

In this paper I investigate the petitions to invalidate forced marriages submitted to the Apostolic Penitentiary during the pontificate of Pope Innocent VIII (1484-1492). The supplications will be analyzed both in relation to the late medieval scholarly discussion of force and fear as impediment to marriage, and in relation to the lived reality that emerges in the petitioner’s narratives. The Peni

Immunosuppressants for IgG4-related disease

OBJECTIVES: This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the benefits and harms of immunosuppressants with or without corticosteroids compared to corticosteroid monotherapy for the treatment of IgG4-related disease in people 18 years or older.

Longer scans boost prediction and cut costs in brain-wide association studies

A pervasive dilemma in brain-wide association studies1 (BWAS) is whether to prioritize functional magnetic resonance imaging (fMRI) scan time or sample size. We derive a theoretical model showing that individual-level phenotypic prediction accuracy increases with sample size and total scan duration (sample size × scan time per participant). The model explains empirical prediction accuracies well a

Studies in Earth-system economic history

The urgency of global climate change and other geological-scale anthropogenic impacts also suggests new perspectives on economic history. This thesis argues for the inclusion into economic history of more Earth-system centred feedbacks, both in terms of environmental and climatic consequences and environmental and climatic causes, where consequences in one realm may again become causal in the othe

Comprehensive multifaceted analysis for unveiling the driving factors of groundwater decline

Groundwater, as a vital water resource in arid and semi-arid regions, plays a crucial role in sustaining human livelihoods, agriculture, and industry. Over recent decades, these areas have witnessed rapid groundwater depletion, raising concerns about resource sustainability. This research provides a comprehensive analysis of the factors contributing to the decline in groundwater levels (GWL) withi

Do eye trackers estimate eyeball rotation? : The relationship between tracked eye image feature and estimated saccadic waveform

The eyeball is not rigid and deforms during saccades. As a consequence, the saccade waveform recorded by an eye tracker may depend on which structure of the eye is used to estimate eyeball rotation. Here, we systematically describe and compare signals co-recorded from the retina, the cornea (corneal reflection, CR), the pupil, and the lens (fourth Purkinje reflection, P4) during saccades. We found

Different plasma biomarker patterns associated with coronary atherosclerosis in low- versus high-risk individuals – an observational cross-sectional study

Background and aims: Targeted omics techniques can be used to identify systemic blood biomarkers associated with coronary artery disease (CAD) and cardiovascular disease (CVD) events. Our aim was to study associations between plasma protein, metabolite biomarkers and subclinical CAD in a low and a high CVD risk population. Methods: The Swedish CArdioPulmonary bioImage Study (SCAPIS) was used for i

In-depth patient-specific analysis of tumor heterogeneity in melanoma brain metastasis : Insights from spatial transcriptomics and multi-region bulk sequencing

Melanoma brain metastases (MBM) exhibit extensive intertumor and intratumor heterogeneity (ITH), driven by a complex tumor microenvironment. The aim of this study was to perform a detailed analysis of individual MBM patient tumors using a multiomics approach, integrating spatial transcriptomics with multi-region bulk exome, proteome, and transcriptome profiling for a small group of four patient sa

Studies of phase-change materials using ultrafast X-ray diffraction

This thesis is focused on the investigation of the ultrafast structural response of the phase change material (PCM) Ge$_2$Sb$_2$Te$_5$ following laser excitation. Phase change materials are a group of materials capable of rapid, non-volatile, switching between an amorphous and a crystalline phase. The two phases exhibit high optical and electrical contrast, meaning the optical reflectivity and the

Neural network connectivity by optical broadcasting between III-V nanowires

Biological neural network functionality depends on the vast number of connections between nodes, which can be challenging to implement artificially. One radical solution is to replace physical wiring with broadcasting of signals between the artificial neurons. We explore an implementation of this concept by light emitting/receiving III-V semiconductor nanowire neurons in a quasi-2D waveguide. They

Exploring New Functional Plant-Based Ingredients: The Functional Potential of Bolivian Andean Foods

In recent years, unbalanced diets and high consumption of processed foods have primarily contributed to the rise of diet-related diseases, such as obesity and diabetes, among others. One way to address these problems is to increase the consumption of plant-based foods rich in fibre, healthy fats, and protein. The growing interest in plant-based foods continues to rise, leading to a rapid expansion

Charge transfer between van der Waals coupled metallic 2D layers

Van der Waals heterostructures have become a rapidly growing field in condensed matter research, offering a platform to engineer novel quantum systems by stacking different two-dimensional (2D) materials. A diverse range of material combinations, including hexagonal boron nitride, transition metal dichalcogenides and graphene, with electronic properties spanning from insulating to semiconducting,