Design and implementation of high sampling rate and multichannel wireless recorder for EEG monitoring and SSVEP response detection

IntroductionThe collection and process of human brain activity signals play an essential role in developing brain-computer interface (BCI) systems.A portable electroencephalogram (EEG) device has become an important tool for monitoring brain activity and diagnosing mental diseases.However, the miniaturization, portability, and scalability of EEG re

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Comparison of the human gastric microbiota in hypochlorhydric states arising as a result of Helicobacter pylori-induced atrophic gastritis, autoimmune atrophic gastritis and proton pump inhibitor use.

Several conditions associated with reduced gastric acid secretion confer an altered risk of developing a gastric malignancy.Helicobacter pylori-induced atrophic gastritis predisposes to gastric adenocarcinoma, autoimmune atrophic gastritis is a precursor of type I gastric neuroendocrine tumours, whereas proton pump inhibitor (PPI) use does not affe

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Performance Evaluation of Multipath TCP Scheduling Algorithms

One of the goals of 5G is to provide enhanced mobile broadband and enable low latency in some use cases.To achieve this aim, the Internet Engineering Task Force has proposed the Multipath TCP by utilizing the feature of dual connectivity in 5G, where a 5G device can be served by two different base stations.However, the path heterogeneity between th

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Advancing Computational Hydroacoustics for Marine Propellers: Investigating the Limits of Incompressible Solvers in Far-Field Noise Prediction

As sound is a propagating pressure wave, it is important to obtain the hydrodynamic pressure oscillations in the fluid to calculate propeller noise.Numerical hydroacoustic simulations generally assume incompressible flow.Time delays in sound propagation are neglected due to the incompressibility assumption, leading to physically infeasible results

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Summon a demon and bind it: A grounded theory of LLM red teaming.

Engaging in the deliberate generation fr3345 of abnormal outputs from Large Language Models (LLMs) by attacking them is a novel human activity.This paper presents a thorough exposition of how and why people perform such attacks, defining LLM red-teaming based on extensive and diverse evidence.Using a formal qualitative methodology, we interviewed d

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