Rice (Oryza sativa L.) is one of the most important staple foods in the world, however most improved rice varieties are susceptible to drought stress.A two-year study was conducted to explore the effects of various drought stresses and subsequent recovery on the accumulation and degradation of proline, total soluble SMI sugar and starch in differen
BioCPPNet: automatic bioacoustic source separation with deep neural networks
Abstract We introduce the Bioacoustic Cocktail Party Problem Network (BioCPPNet), a lightweight, modular, and robust U-Net-based machine learning architecture optimized for bioacoustic Keratin Booster source separation across diverse biological taxa.Employing learnable or handcrafted encoders, BioCPPNet operates directly on the raw acoustic mixture
Enhancing Person Detection in UAV Color Images: Empirical Study and Novel Techniques for Improved Performance
This research article presents an in-depth empirical study and optimization approach for enhancing person detection in UAV (Unmanned Aerial Vehicle) color Turners images.The study focuses on fine-tuning the state-of-the-art object detection algorithms, mainly Faster R-CNN, to maximize its performance for detecting individuals in UAV imagery.Key asp
Multi-Segment Direct Inject nano-ESI-LTQ-FT-ICR-MS/MS For Protein Identification
Abstract Reversed phase high performance liquid chromatography (HPLC) interfaced to electrospray tandem mass spectrometry (MS/MS) is commonly used for the identification of peptides from proteolytically cleaved proteins embedded in a polyacrylamide gel matrix as well as for metabolomics screening.HPLC separations are time consuming (30-60 min avera