The MITRE ATT&CK (Registered trademark) framework is a globally recognized repository of adversarial Tactics, Techniques, and Procedures (TTPs) based on real-world cyber threats.It provides a model for analyzing attack behaviors and enhancing incident attribution.Business Email Compromise (BEC) frauds, a growing cyber threat, exploit email c
Exploring Copper Oxide and Copper Sulfide for Non-Enzymatic Glucose Sensors: Current Progress and Future Directions
Millions of people worldwide are affected by diabetes, a chronic disease that continuously grows due to abnormal glucose concentration levels present in the blood.Monitoring blood glucose concentrations is therefore an essential diabetes indicator to aid in the management of the disease.Enzymatic electrochemical glucose sensors presently account fo
In vivo mice brain microcirculation monitoring based on contrast-enhanced SD-OCT
In this paper, we proposed a contrast-enhanced homemade spectral domain optical coherence tomography (SD-OCT) method for monitoring of brain microcirculation.We used the polyethylene glycol (PEG)-ylated gold nanorods (GNRs) String Decorations as a contrast-enhanced agent, obtained clearly 2D and 3D OCT images of blood vessels and dynamic changes of
Natural autoantibodies to the gonadotropin-releasing hormone receptor in polycystic ovarian syndrome.
ContextPolycystic ovarian syndrome (PCOS) is a complex disease with different subtypes and unclear etiology.Among the frequent comorbidities are autoimmune diseases, suggesting that autoantibodies (aAb) may be involved in PCOS pathogenesis.ObjectiveAs the gonadal axis often is dysregulated, we tested the hypothesis that aAb to the gonadotropin-rele
Enhancing Intrusion Detection with LSTM Recurrent Neural Network Optimized by Emperor Penguin Algorithm
Intrusion detection systems (IDS) have been developed to identify and classify these attacks in order to prevent them from occurring.However, the accuracy and efficiency of SUN CARE these systems are still not satisfactory.In previous research, most of the methods used were based on ordinary neural networks, which had low accuracy.Therefore, this t