This dataset is generated from real-time simulations conducted in MATLAB/Simscape, focusing on the impact of smart noise signals on battery energy storage systems (BESS). Using Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), noise signals in the form of subtle millivolt and milliampere variations are strategically created to represent realistic cases of False Data Injection Attacks (FDIA). These signals are designed to disrupt the State of Charge (SoC) and State of Health (SoH) estimation blocks within Unscented Kalman Filters (UKF).
View Article and Find Full Text PDFHelicobacter pylori (H. pylori) is an extremely prevalent human pathogen globally that leads to severe illnesses. Sadly, the worldwide issue of H.
View Article and Find Full Text PDFObjectives: The objective of this web-based study is to analyze the attributes of bariatric surgery cases ensuing health implications. Additionally, the study seeks to delve into the factors influencing post-bariatric psychological evaluations and the impact of various bariatric surgeries on weight loss and psycho-social assessment scores for patients who had undergone bariatric surgeries within a specific bariatric surgery center in Egypt between January 2017 and January 2024.
Methods: An analytical cross-sectional study recruited 411 adults who had undergone different bariatric procedures by the same surgical team.
Developing and creating novel antibiotics is one of the most important targets in treating infectious diseases. Novel coumarins were synthesized and characterized using different spectroscopic techniques such as Fourier Transform Infrared (FTIR), Nuclear magnetic resonanceH and C and mass spectroscopy (MS). All of the synthesized compounds have been tested for activity and sensitivity against the microbial strains of B.
View Article and Find Full Text PDFMosquito-borne diseases represent a growing health challenge over time. Nanostructured lipid carriers (NLCs) are the second generation of solid lipid nanoparticles (SLNs), and they continue to attract significant interest as potential diagnostic and therapeutic tools in disease inhibition and insect control. Activated ingredients presented in the Poinciana leaves were extracted and GC-MS data indicated an increased abundance of terpenes, flavonoids, and phenolic substances.
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