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Active Physics-Informed Deep Learning: Surrogate Modeling for Nonplanar Wavefront Excitation of Topological Nanophotonic Devices.
Nano Lett
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Institute of Experimental and Applied Physics, Kiel University, Leibnizstr. 11-19, Kiel 24098, Germany.
Topological plasmonics combines principles of topology and plasmonics to provide new methods for controlling light, analogous to topological edge states in photonics. However, designing such topological states remains challenging due to the complexity of the high-dimensional design space. We present a novel method that uses supervised, physics-informed deep learning and surrogate modeling to design topological devices for desired wavelengths.
View Article and Find Full Text PDFForecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan.
BMC Public Health
January 2025
Al-Barkaat Institute of Management Studies, Aligarh 202122, Dr. A. P. J. Abdul Kalam Technical University, Lucknow 226010, India.
Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan.
View Article and Find Full Text PDFVimentin Inhibits Neuronal Apoptosis After Spinal Cord Injury by Enhancing Autophagy.
CNS Neurosci Ther
January 2025
Dongguan Key Laboratory of Stem Cell and Regenerative Tissue Engineering, the First Dongguan Affiliated Hospital, School of Basic Medical Sciences, Guangdong Medical University, Dongguan, China.
Aims: Neuron death is caused primarily by apoptosis after spinal cord injury (SCI). Autophagy, as a cellular response, can maintain cellular homeostasis to reduce apoptosis. We aimed to investigate the effect and the mechanism of vimentin knockdown on autophagy and neural recovery after SCI.
View Article and Find Full Text PDFAdolescent cerebellar nuclei manipulation alters reversal learning and perineuronal net intensity independently in male and female mice.
J Neurosci
January 2025
Arizona State University, Department of Psychology, Tempe, AZ, 85287 USA.
The cerebellum, identified to be active during cognitive and social behavior, has multisynaptic connections through the cerebellar nuclei (CN) and thalamus to cortical regions, yet formation and modulation of these pathways are not fully understood. Perineuronal nets (PNNs) respond to changes in local cellular activity and emerge during development. PNNs are implicated in learning and neurodevelopmental disorders, but their role in the CN during development is unknown.
View Article and Find Full Text PDFDisruption of extracellular matrix and perineuronal nets modulates extracellular space volume and geometry.
J Neurosci
January 2025
Institute of Neuroimmunology, Slovak Academy of Science, 84510 Bratislava, Slovakia.
Extracellular matrix (ECM) is a network of macromolecules which has two forms - perineuronal nets (PNNs) and a diffuse ECM (dECM) - both influence brain development, synapse formation, neuroplasticity, CNS injury and progression of neurodegenerative diseases. ECM remodeling can influence extrasynaptic transmission, mediated by diffusion of neuroactive substances in the extracellular space (ECS). In this study we analyzed how disrupted PNNs and dECM influence brain diffusibility.
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