RWTH Aachen University

Impact of Menopause and Menopausal Hormone Therapy on Liver–Kidney–Metabolic Health

Menopause is associated with unfavorable metabolic changes that may contribute to the development of metabolic dysfunction-associated steatotic liver disease (MASLD), chronic kidney disease (CKD), and increased cardiometabolic risk. Within the evolving cardiovascular-kidney-metab...

Correlation of polygenic risk score and clinical phenotype in patients with genetic generalized epilepsy

Abstract Objective The polygenic risk score (PRS) for individuals with genetic generalized epilepsy (GGE) quantifies the common risk variants in genes identified in genome‐wide association studies. We hypothesized that the phenotype of GGE patients differs based on their GGE PRS....

Hidden barriers of education and artificial intelligence: rethinking equity, affordances and ability

Purpose This article investigates how artificial intelligence (AI) reshapes digital inequality in education by introducing the concepts of the AI divide and ability divide. It examines how exclusion emerges not only from unequal access or skills but from differential capacities t...

Toward Material‐Specific Peptides From in Silico Guided Peptide Engineering to Target PET in the Presence of PS

ABSTRACT Synthetic polymers are indispensable but pose major recycling challenges, particularly in mixed plastic waste streams. Enzymatic recycling offers a promising route to specific polymer depolymerization into oligomers and monomers. This requires controlling molecular recog...

Bilateral internal carotid artery dissection and occlusion in Eagle syndrome treated with emergency single-session bilateral carotid artery stenting: a case report

Eagle syndrome (stylocarotid variant) is a rare but potentially life-threatening cause of internal carotid artery (ICA) dissection and ischemic stroke. Bilateral ICA dissection due to Eagle syndrome has been treated with both staged and single-session bilateral carotid stenting e...

A simultaneous approach for training neural differential-algebraic systems of equations

Abstract Neural differential-algebraic systems of equations (DAEs) are a modeling paradigm where some unknown relationships within a DAE are modeled with a neural network and learned from data. Training neural DAEs is more challenging than training neural ordinary-differential eq...

Robust design of multi-energy systems accounting for mixed-integer operational problems

Identifying robust designs for multi-energy systems is computationally challenging. As rigorous approaches are often computationally intractable, heuristics are employed to generate candidate designs. Specifically, we consider a heuristic that iteratively identifies and adds extr...

Longitudinal progression, metrics, age-dependence, and modifiers of ataxia severity in SCA27B: a multicentre study of 219 patients

Background Spinocerebellar Ataxia 27B (SCA27B) is a novel, frequent and likely treatable late-onset autosomal-dominant ataxia caused by GAA repeat-expansions in FGF14 . For understanding disease evolution and imminent trial planning, metrics of the most widely used clinical outco...

Delivering building demand flexibility for grid-interactive operation: from perception and cognition to decision, execution, and verification

As both buildings and power systems undergo rapid decarbonization, demand flexibility (DF) in buildings has emerged as a key enabler for renewable energy integration, grid reliability, energy resilience, and efficient and low carbon operation. By dynamically adjusting building en...

DifferentiableThermodynamic Phase-Equilibria forMachine Learning

Abstract Accurate prediction of phase equilibria remains a central challenge in chemical engineering. Physics-consistent machine learning methods that incorporate thermodynamic structure into neural networks have recently shown strong performance for activity-coefficient modeling...

SEQUENCES WITH INEQUALITIES

Abstract We consider infinite sequences of positive numbers. The connection between log-concavity and the Bessenrodt–Ono inequality has been the focus of several papers. It has applications in the white noise distribution theory and combinatorics. We improve a recent result by Be...

Reliability challenges for resistive random-access memory-based parallel logic computing

<title>Abstract</title> Conventional computing architectures are reaching their scalability limits, while their energy demands increase rapidly. A bottleneck is the separation of memory and processing units, which requires a continuous data transfer. This memory wall increases th...

Effect of intravenously administered norepinephrine on early postoperative tissue perfusion of radial free forearm flaps in the head and neck region – retrospective analysis in the context of continuous flap monitoring

Abstract Background Postoperative flap monitoring following microvascular head and neck reconstruction can be conducted by continuous flap tissue perfusion measurement with an attached surface probe using the Oxygen-to-see (O2C) analysis system. However, intravenously administere...

A coupled backward stochastic differential equation (BSDE) framework for metastable transition precursors in a stochastically forced Duffing oscillator

This work develops a coupled backward stochastic differential equation framework for metastable transition precursors in a stochastically forced Duffing oscillator. The nonlinear oscillator evolves forward under additive noise, while two coupled backward fields are introduced to...

Accelerated Interior Point Algorithms for Rate‐Independent Single Crystal Plasticity at Small Strains

ABSTRACT Rate‐independent single crystal plasticity requires robust solution methods due to the non‐uniqueness of slip system activity. The interior point method, which enforces the yield criterion via slack variables and a so‐called barrier term, has proven both robust and compu...

Comparing End-of-Life carbon accounting methodologies reveals the need for standardization

Abstract This study provides a comparative assessment of existing methodologies and allocation approaches for quantifying End-of-Life (EoL) Greenhouse Gas (GHG) emissions in product life cycles, emphasizing the importance of harmonization and standardization in carbon accounting....

Non-isothermal reduction of TeO2 by hydrogen: Integrated distributed-activation-energy-model (DAEM)-shrinking-core-model (SCM) kinetic modeling and enthalpy-entropy compensation analysis

The non-isothermal reduction of TeO 2 (tellurium dioxide) by hydrogen (H 2 ) was investigated using thermal analysis (TG/DTG) techniques at multiple heating rates (1.0, 4.8, 9.6, and 18.8 K/min). Reaction kinetics were evaluated through an integrated Distributed Activation Energy...

Continual learning for autoregressive PDE surrogates under evolving physical regimes

Abstract Deploying machine learning surrogates in scientific simulations faces multifaceted challenges, primary among which is the lack of Continual Learning (CL) capabilities—specifically, the inability to adapt to new physical regimes without significantly degrading performance...

A quality measure for repeating multiple-unit spike patterns

We propose a quality measure for spatio-temporal spike patterns (STPs) in multiple-neuron recordings. In such recordings, repeating STPs or pattern repetitions (PRs) are often found, with many of these generated by chance. To rule those out, statistical tests have been developed...

Modification of Surface and Subsurface Properties of Additively Manufactured Inconel 718 Components Through Post-Process and Interlayer Machine Hammer Peening

Additive manufacturing (AM) enables rapid, near-net-shape fabrication with high material efficiency, but the resulting components often exhibit surface roughness, microstructural heterogeneity, and tensile residual stresses that reduce their performance. Machine hammer peening (M...