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Virtual-Array Operational Modal Analysis of Rolling Tires Using a Single Tire Cavity Accelerometer
arXiv:2606.10437v1 Announce Type: new Abstract: The dynamics of rolling tires significantly influence the low-frequency (0-500 Hz) structure-borne noise within vehicles. Accurately characterizing these dynamics under realistic operating conditions remains challenging. Current state-of-the-art methods, primarily relying on Laser Doppler Vibrometers (LDV), are complex to implement, time-intensive, and generally limited to smooth tires in laboratory environments due to issues with speckle...
Coordinated neural, metabolic and muscular transcriptomic signatures associated with mite-biting behavior in honeybees (Apis mellifera L.)
Biting behavior is an important natural defense mechanism in honeybees (Apis mellifera) against Varroa destructor. Significant variation in this behavior exists across genetic lines of honeybees, with certain colonies exhibiting higher mite-biting activity than others. Selective breeding for enhanced biting behavior provides a promising strategy for sustainable mite control and colony resilience.
Reduced Myocardial Serine Synthesis Impairs Functional, Metabolic, and Redox Adaptations to Cardiac Stress
Background: Impaired myocardial metabolism is a defining feature of heart failure, but many defective pathways and mechanisms remain to be identified. Prior studies find phosphoglycerate kinase and its synthesized product 3-phospho-glycerate required for the serine synthetic pathway (SSP) are reduced in human HFpEF myocardium. As serine is also provided exogenously, the impact of SSP reduction is uncertain.
Two Genomes, One Metabolome: Mitonuclear Incompatibility Remodels Developmental Metabolism and Fitness in Drosophila
Mitochondrial-nuclear (hereafter mitonuclear) genetic variation can alter cellular bioenergetics and metabolism via jointly encoding the subunits of oxidative phosphorylation (OXPHOS) system. Here we tested whether genetic variation in biochemical and bioenergetic phenotype can scale up across higher levels of biological organization to affect organismal development. We used a panel of (mtDNA); nDNA genotypes created by asymmetric substitution of divergent mtDNA between Drosophila...
CytoGem-XAI:A Hypergraph Neural Network Framework for Genome-Scale Metabolic Modeling and Interpretable Analysis
Genome-scale metabolic models are essential for understanding cellular metabolism, yet existing deep learning approaches remain black boxes, and traditional flux balance analysis (FBA) cannot provide sample-specific predictions. To our knowledge, CytoGem-XAI is the first framework to combine hypergraph neural network representation with interpretable, FBA-parallel analysis and sample-specific metabolic characterization. Built upon hypergraph representations where reactions are encoded as...