Publications by authors named "G Schwarz"

Dysfunctions in autophagy, a cellular mechanism for breaking down components within lysosomes, often lead to neurodegeneration. The specific mechanisms underlying neuronal vulnerability due to autophagy dysfunction remain elusive. Here we show that autophagy contributes to cerebellar Purkinje cell (PC) survival by safeguarding their glycolytic activity.

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Background: Patients with ischemic stroke (IS) or TIA face an elevated cardiovascular risk, warranting intensive lipid-lowering therapy. Despite recommendations, adherence to guidelines is suboptimal, leading to frequent undertreatment. This study aims to evaluate the statin use after IS and TIA.

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Background: Severe left ventricular (LV) systolic dysfunction (ejection fraction [EF] < 30%) is a known cardiovascular risk factor and a major cause of cardioembolism. However, less severe forms of LV disease (LVD), such as mild-to-moderate LV dysfunction and LV wall motion abnormalities (LVWMAs), are considered potential minor cardiac sources in Embolic Stroke of Undetermined Source (ESUS), but their role is underexplored. This study aims to evaluate the prevalence of LVD in ESUS and its association with adverse vascular events and mortality.

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Objectives: The aim of this study was to evaluate ground reaction forces (GRFs) in cats after unilateral total hip replacement (THR) and compare them with cats after femoral head and neck ostectomy (FHO).

Methods: The databases of the Small Animal Clinic of the Veterinary University in Vienna and three referral clinics were searched for cats that had undergone unilateral THR with the BioMedtrix Micro total hip system or FHO more than 6 months previously. Owners were invited to complete a survey and bring their cats for re-examination, inlcuding clinical and orthopaedic examinations, hip radiography and a gait analysis using a pressure-sensitive plate.

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This work explores the transformative potential of quantum computing (QC) in plastic and reconstructive surgery, highlighting its ability to enhance predictive modeling, surgical planning, and intraoperative guidance. By leveraging QC's superior computational power, clinicians have the capacity to improve personalized treatment plans and optimize surgical outcomes. Despite the challenges of cost, technical limitations, and ethical considerations, the integration of QC into clinical practice and research promises significant advancements in patient care and surgical innovation.

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