<title>Abstract</title> P2x purinoreceptor 7 (P2RX7), an ATP-gated ion channel, is known to play pivotal roles in the progression of Alzheimer’s disease (AD), although its cell type-specific pathological mechanisms have yet to be elucidated. Here, we show that genetic deletion of P2rx7 mitigates brain atrophy, tau accumulation and cognitive impairment in PS19 tauopathy mice. Specific deletion of P2rx7 in microglia, but not astrocytes, significantly suppresses tau propagation from the entorhinal cortex to CA1 in th…

Abstract Extracellular vesicles (EVs) are critical mediators of neuronal communication and have been implicated in propagating pathological processes in neurodegenerative diseases, including Alzheimer’s disease (AD). However, the molecular interactome of neuronal EVs in vivo remains poorly defined. Here, we employed TurboID-CD9–based proximity biotinylation to label and capture EV-interacting proteins in the hippocampus of wild-type (WT) and APP NLGF knock-in AD mouse models. Adeno-associated viral delivery of hSy…

Digital watermarking has become essential for protecting intellectual property and ensuring content authenticity in the digital age. However, a significant challenge remains in developing watermarking techniques that are both robust against various attacks (such as compression, noise, and cropping) and imperceptible to the human eye, which is crucial for maintaining the quality of the original content. This paper addresses these challenges by proposing an advanced digital image watermarking technique that combines…

A profile face is an extreme face pose. This makes the facial poses harder to detect compared to normal facial poses due to a lack of facial feature information. Hence, this paper proposes the combination of three different networks to detect the profile faces in an image. The CNN architecture proposed to be used is SSD MobileNetV2 with FPN, where it is divided into three different networks. MobileNetV2 acts as the backbone of the overall architecture. The main function is to extract feature maps from the input im…

Brain cancer diagnosis using MRI scans is aided by the advancement of artificial intelligence, a promising tool in medical imaging, but further optimisation is needed due to privacy constraints and limited medical imaging data availability. To address these challenges, this study proposes a hybrid algorithm that integrates Convolutional Neural Networks (CNNs) with Generative Adversarial Networks (GANs) for data augmentation and improved classification accuracy. To enhance training efficiency, an additional 15 epoc…