Yan Li

In this work, we propose an all-optical stroboscopic scheme to simulate an open quantum system. By incorporating the tritter, consisting of a group of beam splitters, we find the emergence of spontaneous antiphase synchronization in the steady state. To better understand the synchronization and entanglement properties within the system, we utilize the relative error measure and find the distribution of logarithmic negativity in parameter space shows similar structures with the results of synchronization measure. Finally, we derive the adjoint master equation corresponding to the system when the synchronization condition is satisfied and explain the existence of oscillations. In addition, we explore the effect of non-Markovianity on synchronization, and we find that it only slows down the time for the system to reach the steady state but does not change the synchronization properties of the steady state. Our work provides a promising scheme for experimental studies focused on synchronization and other nonequilibrium steady states.

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The main purpose of the paper is to transforming the commensurate time-delay systems (TDSs) with multi-inputs to fully actuated systems via differential flatness. The flat output of commensurate TDSs with multi-inputs can be constructed explicitly on the basis of the solution to the Bezout identity. By taking the flat output of TDSs as the generalised state, the commensurate TDSs with multi-inputs can be equivalently transformed into a higher-order fully actuated systems (HOFAS). Then the finite spectrum assignment (FSA) problem of the commensurate TDSs with multi-inputs can be addressed immediately by the utilisation of the HOFAS approach. A numerical example illustrates the effectiveness of the results presented in this paper.

Measurement burst designs typically administer brief cognitive tests four times per day for 1 week, resulting in a maximum of 28 data points per week per test for every 6 months. In Alzheimer's disease clinical trials, utilizing measurement burst designs holds great promise for boosting statistical power by collecting huge amount of data. However, appropriate methods for analyzing these complex datasets are not well investigated. Furthermore, the large amount of burst design data also poses tremendous challenges for traditional computational procedures such as SAS mixed or Nlmixed. We propose to analyze burst design data using novel hierarchical linear mixed effects models or hierarchical mixed models for repeated measures. Through simulations and real-world data applications using the novel SAS procedure Hpmixed, we demonstrate these hierarchical models' efficiency over traditional models. Our sample simulation and analysis code can serve as a catalyst to facilitate the methodology development for burst design data.

Situated in close proximity to the Korea Peninsula and the Japan Islands, Shandong Province in China (SDP) has emerged as a focal point for global attention due to its significant surface ozone (O ) and aerosol pollution. Despite this attention, there are notable gaps in knowledge across various interconnected research domains, encompassing climate change, atmospheric circulation, anthropogenic emissions, and the chemistry of O and aerosols. The impact of frequent heat waves on regional O and aerosol pollution remains unclear, while our comprehension of atmospheric circulation dynamics and the chemistry involved with O and aerosols is still hampered by substantial limitations. The unique topography and geographical setting of SDP, with its complex interplay of factors like sea–land breezes, mountain–valley winds, and urban heat islands, make it an ideal location for investigating the dynamics of O and aerosol chemistry. Moreover, it is essential to explore the effects of transboundary transport on O and aerosol pollution and delve into the underlying mechanisms contributing to their combined pollution effects. To bridge these knowledge gaps, the Innovative Collaboration-Based Ozone and Aerosol Observation Network in Northeast Asia has been established through collaborative efforts involving the Bureaus of Ecology and Environment, Meteorology in SDP, and the Chinese Academy of Sciences. This network encompasses various components, including air quality and weather stations, a network of low-cost air quality sensors, monitoring stations focused on atmospheric photochemical smog and aerosol chemical speciation, and vertical measurement systems targeting O and its precursor gases (utilizing light detection and ranging, balloon sounding, and drone-based measurements), as well as measurements conducted via vehicles and ships. Additionally, preliminary findings from this comprehensive observational campaign will be shared.

Abstract Background: Coronary heart disease (CHD), the leading cause of death globally, is a complex disease often association with metabolic

Aims This study aimed to explore the correlation between radiomics features of pericoronary adipose tissue (PCAT) and gene expression in patients with coronary artery disease (CAD), with the goal of identifying novel imaging biomarkers for evaluating CAD.

Background Pulmonary hypertension (PH) is a malignant vascular disease characterized by pulmonary arterial remodeling. Neural cell adhesion molecule 1 (NCAM1) is a cell surface glycoprotein that is involved in a variety of diseases, including cardiovascular disease. However, the role of NCAM1 in PH remains underexplored.