HAUSDORFF DISTANCE MODEL-BASED IDENTITY AUTHENTICATION FOR IP CIRCUITS IN SERVICE-CENTRIC INTERNET-OF-THINGS ENVIRONMENT

Hausdorff Distance Model-Based Identity Authentication for IP Circuits in Service-Centric Internet-of-Things Environment

Rapid advances in the Internet-of-Things (IoT) have exposed the underlying hardware devices to security threats.As the major component of hardware devices, the integrated circuit (IC) chip also suffers the threat of illegal, malicious attacks.To protect against attacks and vulnerabilities of a chip, a credible authentication is of fundamental impor

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Data Archive for the BRAIN Initiative (DABI)

Abstract Data sharing is becoming ubiquitous and can be advantageous for most biomedical Bundle Builder research.However, some data are inherently more amenable to sharing than others.For example, human intracranial neurophysiology recordings and associated multimodal data have unique features that warrant special considerations.The associated data

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A piecewise heat equation with constant and variable order coefficients: A new approach to capture crossover behaviors in heat diffusion

While the equation depicting the heat flow within homogeneous has VALERIAN been applied in several fields with some success, it has also faced several difficulties to depict heat diffusion in some non-homogeneous media.For particular behaviours adequate differential operators have been applied, for instance, a long-range behaviour has been depicted

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Application of targeted high-throughput sequencing as a diagnostic tool for neonatal genetic metabolic diseases following tandem mass spectrometry screening

BackgroundTandem mass spectrometry (MS/MS) is a crucial technique for detecting inborn errors of metabolism (IEM) in newborns.However, the high false positive rate poses challenges in diagnosing specific types of diseases.Therefore, this study aimed to evaluate the role of targeted next-generation sequencing (NGS) in the accurate diagnosis of posit

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