Globally stable blowup profile for supercritical wave maps in all dimensions.

We consider wave maps from the -dimensional Minkowski space into the -sphere. It is known from the work of Bizoń and Biernat (Commun Math Phys 338(3): 1443-1450, 2015) that in the energy-supercritical case, i.e.

Process-based screening of porous materials for vacuum swing adsorption based on 1D classical density functional theory and PC-SAFT.

Adsorption-based processes are showing substantial potential for carbon capture. Due to the vast space of potential solid adsorbents and their influence on the process performance, the choice of the material is not trivial but requires systematic approaches. In particular, the material choice should be based on the performance of the resulting process.

Discovery of giant unit-cell super-structure in the infinite-layer nickelate PrNiO.

The discovery of unconventional superconductivity often triggers significant interest in associated electronic and structural symmetry breaking phenomena. For the infinite-layer nickelates, structural allotropes are investigated intensively. Here, using high-energy grazing-incidence x-ray diffraction, we demonstrate how in-situ temperature annealing of the infinite-layer nickelate PrNiO ( ≈ 0) induces a giant superlattice structure.

Biplanar Lateral Hemi-Wedge Osteotomy for the Correction of Severe Tibial Varus Deformity.

Indication for this hemi-wedge high tibial osteotomy is the combination of medial osteoarthritis or cartilage damage, varus deformity of >10°, and medial proximal tibial angle of <80°. The proximal lateral tibia is exposed via a skin incision of approximately 10 cm length between the tibial tuberosity and the head of the fibula. After detachment of the anterior tibial muscle, a first oblique guidewire marks the main osteotomy plane and a second guidewire marks the hemi-wedge.

Five-year comparison of clinical and echocardiographic outcomes of pure aortic stenosis with pure aortic regurgitation or mixed aortic valve disease in the COMMENCE trial.

Objective: To compare outcomes of aortic valve replacement (AVR) in patients with pure aortic stenosis (Pure AS) and those with pure aortic regurgitation (Pure AR) or mixed AS and AR (MAVD) in the COMMENCE trial.

Methods: Of 689 patients who underwent AVR in the COMMENCE trial, patients with moderate or severe AR with or without AS (Pure AR + MAVD; n = 135) or Pure AS (n = 323) were included. Inverse probability of treatment weighting Kaplan-Meier survival curves were used for time-to-event endpoints, and longitudinal changes in hemodynamics were evaluated using mixed-effects models.

Association between the proportionality of functional mitral regurgitation and survival after mitral valve operation.

Objective: The concept of proportionate and disproportionate functional mitral regurgitation suggests that transcatheter edge-to-edge mitral repair may benefit patients with a smaller left ventricle relative to a higher regurgitant burden. The clinical relevance of proportionality remains unknown in mitral operations for ischemic mitral regurgitation. We aimed to characterize the association between mitral regurgitation proportionality and outcomes after mitral valve operations.

Mitral valve replacement versus repair for severe mitral regurgitation in patients with reduced left ventricular ejection fraction.

Objective: This study compares early and long-term outcomes following mitral valve (MV) repair and replacement in patients with mitral regurgitation (MR) and reduced left ventricular ejection fraction (LVEF).

Methods: Patients with primary or secondary MR and LVEF <50% who underwent MV replacement or repair (with/without atrial septal defect closure and/or atrial fibrillation ablation) between 2005 and 2017 at our center were retrospectively analyzed using unadjusted and propensity score matching techniques (42 pairs).

Results: A total of 356 patients with either primary (n = 162 [45.

Interatrial block is an independent risk factor for new-onset atrial fibrillation after cardiac surgery.

Objectives: This study aims to investigate the association between interatrial conduction block and postoperative atrial fibrillation, which can precipitate acute cardiopulmonary instability and is associated with subsequent heart failure, stroke, and mortality following cardiac surgery.

Methods: Perioperative 12-channel electrocardiograms from 3405 patients undergoing myocardial revascularization, valve surgery, aortic surgery, or combinations thereof, were considered. Clinical and electrographic parameters were compared between patients with and without atrial fibrillation, and significant variables were analyzed using univariate and multivariate logistic regression.

Comparing percutaneous coronary intervention and coronary artery bypass grafting for left main stenosis on the basis of current regional registry evidence.

Objectives: There is an ongoing debate whether percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) is the better choice for treatment of left main (LM) stenosis. We aimed to provide external validation for the recently reviewed guideline recommendations for invasive LM therapy by evaluating the impact of CABG or PCI on long-term survival from local reports of different regions in the world. We performed a systematic review and meta-analysis to address contemporary registry studies comparing PCI and CABG for patients with LM stenosis.

The potential of GPT-4 advanced data analysis for radiomics-based machine learning models.

Background: This study aimed to explore the potential of the Advanced Data Analytics (ADA) package of GPT-4 to autonomously develop machine learning models (MLMs) for predicting glioma molecular types using radiomics from MRI.

Methods: Radiomic features were extracted from preoperative MRI of  = 615 newly diagnosed glioma patients to predict glioma molecular types (IDH-wildtype vs IDH-mutant 1p19q-codeleted vs IDH-mutant 1p19q-non-codeleted) with a multiclass ML approach. Specifically, ADA was used to autonomously develop an ML pipeline and benchmark performance against an established handcrafted model using various MRI normalization methods (N4, Zscore, and WhiteStripe).

Deciphering Polymer Interactions in Bioconjugates with Different Architectures by Structural Analysis via Time-resolved Limited Proteolysis Mass Spectrometry.

Therapeutic proteins are commonly conjugated with polymers to modulate their pharmacokinetics but often lack a description of the polymer-protein interaction. We deployed limited proteolysis mass spectrometry (LiP-MS) to reveal the interaction of polyethylene glycol (PEG) and PEG alternative polymers with interferon-α2a (IFN). Target conjugates were digested with the specific protease trypsin and a "heavy" 15N-IFN wild type (IFN-WT) for time-resolved quantification of the cleavage dynamics.

Cross-tissue comparison of epigenetic aging clocks in humans.

Epigenetic clocks are a common group of tools used to measure biological aging-the progressive deterioration of cells, tissues, and organs. Epigenetic clocks have been trained almost exclusively using blood-based tissues, but there is growing interest in estimating epigenetic age using less-invasive oral-based tissues (i.e.

Post-Degradation Recovery of CsPbI Quantum Dot Solar Cells.

The stability of perovskite quantum dot solar cells is one of the key challenges of this technology. This study reveals the unique degradation behavior of cesium lead triiodide (CsPbI) quantum dot solar cells. For the first time, it is shown that the oxygen-induced degradation and performance loss of CsPbI quantum dot photovoltaic devices can be reversed by exposing the degraded samples to humidity, allowing the performance to recover and even surpass the initial performance.

Prediction of Temperature-Dependent Henry's Law Constants by Matrix Completion.

Methods for predicting Henry's law constants describing the solubility of solutes in solvents as a function of temperature are essential in chemical engineering. While isothermal properties of binary mixtures can conveniently be predicted with matrix completion methods (MCMs) from machine learning, we advance their application to the temperature-dependent prediction of in the present work by combining them with physical equations describing the temperature dependence. For training the methods, experimental data for 122 solutes and 399 solvents ranging from 173.

Diffusion Generative Models for Designing Efficient Singlet Fission Dimers.

Diffusion generative models, a class of machine learning techniques, have shown remarkable promise in materials science and chemistry by enabling the precise generation of complex molecular structures. In this article, we propose a novel application of diffusion generative models for stabilizing reactive molecular structures identified through quantum mechanical screening. Specifically, we focus on the design challenge presented by singlet fission (SF), a phenomenon crucial for advancing solar cell efficiency beyond theoretical limits.

Insights into Interlayer Dislocation Augmented Zinc-Ion Storage Kinetics in MoS Nanosheets for Rocking-Chair Zinc-Ion Batteries with Ultralong Cycle-Life.

Increasing attention to sustainability and cost-effectiveness in energy storage sector has catalyzed the rise of rechargeable Zinc-ion batteries (ZIBs). However, finding replacement for limited cycle-life Zn-anode is a major challenge. Molybdenum disulfide (MoS), an insertion-type 2D layered material, has shown promising characteristics as a ZIB anode.

Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study.

Objective: The aim of this study was to compare image quality features and lesion characteristics between a faster deep learning (DL) reconstructed T2-weighted (T2-w) fast spin-echo (FSE) Dixon sequence with super-resolution (T2) and a conventional T2-w FSE Dixon sequence (T2) for breast magnetic resonance imaging (MRI).

Materials And Methods: This prospective study was conducted between November 2022 and April 2023 using a 3T scanner. Both T2 and T2 sequences were acquired for each patient.

Intertwined people-nature relations are central to nature-based adaptation to climate change.

Adaptation to climate change is a social-ecological process: it is not solely a result of natural processes or human decisions but emerges from multiple relations within social systems, within ecological systems and between them. We propose a novel analytical framework to evaluate social-ecological relations in nature-based adaptation, encompassing social (people-people), ecological (nature-nature) and social-ecological (people-nature) relations. Applying this framework to 25 case studies, we analyse the associations among these relations and identify archetypes of social-ecological adaptation.

Objectification of Skin Firmness: In Vivo Evaluation of 300 Women in Relation to Age.

Background: The concept of "skin quality" (SQ) has gained widespread attention, with a recent international consensus defining it and outlining four "emergent perceptual categories" (EPCs), each accompanied by specific parameters and associated measurement methods. No research has confirmed whether the parameters linked to these EPCs vary objectively with age. This gap in data is significant, as understanding how these parameters correlate with age could be essential for creating an objective, age-adjusted classification of SQ.

Bayesian thresholded modeling for integrating brain node and network predictors.

Progress in neuroscience has provided unprecedented opportunities to advance our understanding of brain alterations and their correspondence to phenotypic profiles. With data collected from various imaging techniques, studies have integrated different types of information ranging from brain structure, function, or metabolism. More recently, an emerging way to categorize imaging traits is through a metric hierarchy, including localized node-level measurements and interactive network-level metrics.

Phenotype-Led Identification of IL-10 Upregulators in Human CD4 T-cells and Elucidation of Their Pharmacology as Highly Selective CDK8/CDK19 Inhibitors.

Therapeutics promoting the endogenous production of IL-10 have the potential to restore homeostasis in inflammatory disorders such as inflammatory bowel disease (IBD). Here we describe the identification of a series of IL-10 upregulators based on a pyrimidyl-piperidine scaffold through a high throughput phenotypic CD4 T-cell multiplex assay. optimization of the initial hit yielded a lead with good potency and an clearance profile, compound 3-7, which additionally demonstrated efficacy in a murine endotoxin challenge PK-PD mechanistic model.

Identification of biomarkers for chronic renal fibrosis and their relationship with immune infiltration and cell death.

Background: Chronic kidney disease (CKD) represents a significant global public health challenge. This study aims to identify biomarkers of renal fibrosis and elucidate the relationship between unilateral ureteral obstruction (UUO), immune infiltration, and cell death.

Methods: Gene expression matrices for UUO were retrieved from the gene expression omnibus (GSE36496, GSE79443, GSE217650, and GSE217654).