Open Access

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2026-01-22
13:39
OpenAccess [FZJ-2026-00910] Journal Article
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Deep learning-based 3D reconstruction of dentate nuclei in Friedreich’s ataxia from T2*weighted MR images
Dentate nucleus (DN) degeneration is a key neuropathological feature in Friedreich’s ataxia (FRDA), and its accurate quantification is critical for understanding disease progression. However, its visualization and volumetry require iron-sensitive imaging techniques and time-consuming segmentation procedures, posing challenges for conventional ML approaches due to small datasets typical of rare diseases. [...]
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2026-01-22
13:35
OpenAccess [FZJ-2026-00909] Preprint
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Disentangling Brain-Psychopathology Associations: A Systematic Evaluation of Transdiagnostic Bifactor Models
Understanding the neurobiological basis of mental health disorders remains a central goal in psychiatry. However, identifying robust brain-psychopathology associations with neuroimaging has proven difficult, in part due to substantial heterogeneity within and comorbidity between diagnostic categories. [...]
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2026-01-22
13:28
OpenAccess [FZJ-2026-00906] Journal Article

The Association between Sleep Disturbances, Imaging Biomarkers and Cognitive Decline along the Trajectory of Alzheimer's Disease
BackgroundAlzheimer's Disease (AD) is a prevalent and debilitating neurodegenerative condition that significantly impacts global health. Increasing evidence indicates that sleep disturbances, including insomnia and Sleep-Disordered Breathing (SDB), may act as modifiable risk factors for AD. [...]
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2026-01-22
13:28

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2026-01-22
12:45

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2026-01-22
11:18
OpenAccess [FZJ-2026-00870] Journal Article
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Enabling Ginkgo as Numerics Backend in nekRS Employing A Loosely-Coupled Configuration File Concept
In computational fluid dynamics (CFD), the choice of numerical methods can significantly impact the overall simulation runtime. While it is virtually impossible to know the optimal solver plus preconditioner configuration for every hardware and application setup, it is valuable for CFD engineers to have access to and evaluate different numerical methods to customize the setup for efficient execution. [...]
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2026-01-22
11:07
OpenAccess [FZJ-2026-00869] Journal Article
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Benchmarking the efficacy of salvage systemic therapies for recurrent meningioma: A RANO group systematic review and meta-analysis to guide clinical trial design
Neuro-Oncology 27(7), 1670 - 1685 () [10.1093/neuonc/noaf009]
Background. Despite advances in our understanding of the molecular underpinnings of meningioma progressionand innovations in systemic and local treatments, recurrent meningiomas remain a substantial therapeutic challenge.The objective of this systematic review and meta-analysis is to provide a historical baseline, contemporaryanalysis, and propose a “rate of probable interest” to inform future clinical trial design and development on behalfof the Response Assessment in Neuro-Oncology meningioma group.Methods. [...]
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2026-01-22
10:42
OpenAccess [FZJ-2026-00855] Journal Article
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Laminar and turbulent hydrogen-enriched methane flames: Interaction of thermodiffusive instabilities and local fuel demixing
Blending hydrogen with methane provides a practical approach for transitioning existing energy infrastructure to hydrogen-based carriers. However, under fuel-lean conditions, increasing the hydrogen content causes flames to transition rapidly from methane-like combustion to hydrogen-dominated flames, primarily driven by thermodiffusive instabilities that significantly enhance turbulent flame speeds. [...]
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2026-01-22
09:44

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2026-01-22
09:26
OpenAccess [FZJ-2026-00840] Contribution to a conference proceedings
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What Will the Grace Hopper-Powered Jupiter Supercomputer Bring for Sparse Linear Algebra?
SCA/HPCAsia 2026: Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, OsakaOsaka, Japan, 26 Jan 2026 - 29 Jan 20262026-01-262026-01-29 New York, NY, USA : ACM New York, NY, USA 228 - 235 () [10.1145/3773656.3773691]
The first exascale supercomputer in Europe, JUPITER, is currently being built using the NVIDIA Grace Hopper superchips as main building blocks. JUPITER is designed to provide computing power for both data-driven (AI) workloads and numerics-based simulation workloads. [...]
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