Long COVID facts and findings: a large-scale online survey in 74,075 Chinese participants.

Background: Research on long COVID in China is limited, particularly in terms of large-sample epidemiological data and the effects of recent SARS-CoV-2 sub-variants. China provides an ideal study environment owing to its large infection base, high vaccine coverage, and stringent pre-pandemic measures.

Methods: This retrospective study used an online questionnaire to investigate SARS-CoV-2 infection status and long COVID symptoms among 74,075 Chinese residents over one year.

RecNet: advanced encoder-decoder architecture for SHG-FROG pulse reconstruction with enhanced noise immunity and convergence.

This paper presents RecNet, an innovative convolutional neural network designed for reconstructing cecond harmonic generation frequency-resolved optical gating (SHG-FROG) traces. Unlike conventional approaches, RecNet incorporates noiseless sample constraints through a domain knowledge embedded loss function, enhancing the network's robustness to noise and interpretability. The encoder-decoder architecture is intentionally selected to match the dimensions of the trace diagram with intermediate representations, facilitating the effective application of these constraints.

Research on atrial fibrillation diagnosis in electrocardiograms based on CLA-AF model.

Aims: The electrocardiogram (ECG) is the primary method for diagnosing atrial fibrillation (AF), but interpreting ECGs can be time-consuming and labour-intensive, which deserves more exploration.

Methods And Results: We collected ECG data from 6590 patients as YY2023, classified as Normal, AF, and Other. Convolutional Neural Network (CNN), bidirectional Long Short-Term Memory (BiLSTM), and Attention construct the AF recognition model CNN BiLSTM Attention-Atrial Fibrillation (CLA-AF).

Dynamic docking algorithm for UGV to UAV based on single planning under disturbed conditions.

This paper investigates the initial dynamic docking problem to mobile and trajectory-disturbed targets for tracking and recovering drones by Unmanned Ground Vehicles (UGVs). First, the target status is estimated by employing the Extended Kalman Filter (EKF). Then, the drone's perturbation is mapped to a dynamic docking point, quantifying the target motion deviation.

[Adiposity-related anthropometric parameters, indoles and atherosclerotic cardiovascular disease in Chinese adults: a prospective cohort study].

To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China. In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods.