## Autonomous Anomaly Detection and Predictive Maintenance in Digital Twin-Driven Smart Grid Infrastructure
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<p>**Abstract:** Post-stroke aphasia significantly impacts communication abilities, severely diminishing quality of life. Current therapies often lack personali...
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<p>**Abstract:** This paper introduces a novel deep learning framework for proactive detection of marine hull corrosion in autonomous vessel remote inspection (...
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<p>**Abstract:** This research proposes a novel system for automated anomaly detection and predictive maintenance in hypoid gear trains, leveraging a combinatio...
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<p>**Abstract:** This paper introduces a novel diagnostic platform for rapid and accurate quantification of Aβ42, total tau, and phosphorylated tau (p-tau) in c...
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<p>**Abstract:** Glioblastoma (GBM) remains a devastating cancer with limited therapeutic options due to the blood-brain barrier (BBB) and tumor heterogeneity. ...
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<p>**Abstract:** This research introduces a novel strategy for gene correction in Duchenne Muscular Dystrophy (DMD) utilizing the compact Cas14 enzyme for targe...
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<p>**Abstract:** This paper introduces a novel framework for reversing age-related decline in CD8+ T cell function through targeted manipulation of mitochondria...
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## Automated Defect Classification and Root Cause Analysis in Silicon Carbide (SiC) Emitter Tip Structures Using Multi-Modal Data Fusion and Bayesian Inference
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<p>**Abstract:** This paper introduces a novel, commercially viable approach for predicting transcription factor (TF) binding affinity across the entire genome,...
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<p>**Abstract:** Precise control of lateral root (LR) emergence is critical for optimizing crop yield and nutrient uptake. Current predictive models often lack ...
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<p>**Abstract:** Predicting paracellular drug absorption—the passage of drugs between cells—is a critical, yet challenging, aspect of ADME (Absorption, Distribu...
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<p>**Abstract:** Traditional Jaeger distributed tracing systems struggle to maintain performance and scalability under high-throughput Kubernetes workloads, par...
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<p>**Abstract:** This paper presents a novel approach to designing high-efficiency power amplifiers (PAs) for 5G/6G infrastructure utilizing self-aligned fin fi...
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<p>**Abstract:** This paper presents a novel adaptive predictive dead-time compensation (APDC) strategy for high-frequency three-phase inverters using reinforce...
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<p>**Abstract:** This paper proposes a novel approach to enhance Adeno-Associated Virus (AAV) serotype targeting specificity for Brain-Derived Neurotrophic Fact...
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<p>**Abstract:** This paper presents a novel methodology for robust Model Predictive Control (MPC) of non-linear systems subjected to stochastic perturbations. ...
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<p>**Abstract:** Current methods for tracking retroviral latency reversal suffer from limitations in sensitivity and throughput, hindering effective therapeutic...
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