Objective: The detection of arterial pulsating signals at the skin periphery with Photoplethysmography (PPG) are easily distorted by motion artifacts. This work explores the alternatives to the aid of PPG reconstruction with movement sensors (accelerometer and/or gyroscope) which to date have demonstrated the best pulsating signal reconstruction.
Approach: A generative adversarial network with fully connected layers (FC-GAN) is proposed for the reconstruction of distorted PPG signals.
Canning extends the shelf life of seafood products while preserving their quality. It is increasingly considered a more sustainable food processing method due to the primary fishing methods used for key species and the lower energy costs compared to the production of fresh and frozen fish. However, canning can change key components, allow some contaminants to persist, and generate undesirable compounds.
View Article and Find Full Text PDFNitric oxide (NO) is a multifunctional signaling molecule in plants, playing key roles in germination, microbial symbiosis, and nodule formation. However, its instability requires innovative approaches, such as using nanoencapsulated NO donors, to prolong its effects. This study evaluated the impact of treating soybean () seeds with the NO donor S-nitrosoglutathione (GSNO), encapsulated in polymeric nanoparticles, on the germination, nodulation, and plant growth.
View Article and Find Full Text PDFPlants encounter various environmental stresses throughout development, including shade, high light, drought, hypoxia, extreme temperatures, and metal toxicity, all of which adversely affect growth and productivity. Organic acids (OAs), besides serving as intermediates in the tricarboxylic acid (TCA) cycle, play crucial roles in multiple metabolic pathways and cellular compartments, including mitochondrial metabolism, amino acid metabolism, the glyoxylate cycle, and the photosynthetic mechanisms of C4 and CAM plants. OAs contribute to stress tolerance by acting as root chelating agents, regulating ATP production, and providing reducing power for detoxifying reactive oxygen species (ROS).
View Article and Find Full Text PDFTraumatic Brain Injury (TBI) is a form of brain injury caused by external forces, resulting in temporary or permanent impairment of brain function. Despite advancements in healthcare, TBI mortality rates can reach 30%-40% in severe cases. This study aims to assist clinical decision-making and enhance patient care for TBI-related complications by employing Artificial Intelligence (AI) methods and data-driven approaches to predict decompensation.
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