In an effort to circumvent the high cost of standard countermeasures against side-channel attacks in post-quantum cryptography, some works have developed low-cost detection-based countermeasures.These countermeasures try to detect maliciously generated input ciphertexts and react to them by discarding the ciphertext or secret key.In this work, we t
Abstract Enhancing the properties of advanced drug candidates is aided by the direct incorporation of specific chemical groups, avoiding the need to construct the entire compound from the ground up.Nevertheless, their chemical intricacy often poses challenges in predicting reactivity for C-H activation reactions and planning their synthesis.We adop
Templates modeling just the dominant mode of gravitational radiation are generally sufficient for the unbiased parameter inference of near-equal-mass compact binary mergers.However, neglecting the subdominant modes can Baby Formula bias the inference if the binary is significantly asymmetric, very massive, or has misaligned spins.In this work, we e
Research questionCan machine learning models accurately predict the risk of early miscarriage following single vitrified-warmed blastocyst transfer (SVBT)?DesignA dual-center retrospective analysis of 1,664 SVBT cycles, including 308 early miscarriage cases, was conducted across two reproductive centers.Multiple machine learning models, such as Log
Carbon monoxide (CO) is a commonly poisonous gas.It is important to detect CO in daily life.Herein, a new and sensitive surface enhanced Raman scattering (SERS) and resonance Rayleigh scattering (RRS) coupled di-mode method was developed for CO, based on gold nano-enzyme catalysis and gold nanoprobes.CO can react with HAuCl4 Acessories to generate