Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

Generative Adversarial Networks (GANs) have emerged Dog Apparel as a powerful tool in artificial intelligence, particularly for unsupervised learning.This systematic review analyzes GAN applications in healthcare, focusing on image and signal-based studies across various clinical domains.Following Preferred Reporting Items for Systematic reviews an

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ATG8 Is Essential Specifically for an Autophagy-Independent Function in Apicoplast Biogenesis in Blood-Stage Malaria Parasites

ABSTRACT Plasmodium parasites and related pathogens contain an essential nonphotosynthetic plastid organelle, the apicoplast, derived from secondary endosymbiosis.Intriguingly, a highly conserved eukaryotic protein, autophagy-related protein 8 (ATG8), has an autophagy-independent function in the apicoplast.Little is known about the novel apicoplast

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ESPAR Antenna-Based WSN Node With DoA Estimation Capability

In this paper, we present a low-cost energy-efficient electronically steerable parasitic array radiator (ESPAR) antenna-based wireless sensor network (WSN) node designed for IEEE 802.15.4 standard that is capable of performing direction of arrival (DoA) estimation in real-life outdoor environments.To this end, we propose the Lamp WSN node architect

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