Trajectory Tracking Controller for Quadrotor by Continual Reinforcement Learning in Wind-Disturbed Environment.

The extensive deployment of quadrotors in complex environmental missions has revealed a critical challenge: degradation of trajectory tracking accuracy due to time-varying wind disturbances. Conventional model-based controllers struggle to adapt to nonlinear wind field dynamics, while data-driven approaches often suffer from catastrophic forgetting that compromises environmental adaptability. This paper proposes a reinforcement learning framework with continual adaptation capabilities to enhance robust tracking performance for quadrotors operating in dynamic wind fields.

Micro Expression Recognition via Dual-Stream Spatiotemporal Attention Network.

Microexpression can manifest the real mood of humans, which has been widely concerned in clinical diagnosis and depression analysis. To solve the problem of missing discriminative spatiotemporal features in a small data set caused by the short duration and subtle movement changes of microexpression, we present a dual-stream spatiotemporal attention network (DSTAN) that integrates dual-stream spatiotemporal network and attention mechanism to capture the deformation features and spatiotemporal features of microexpression in the case of small samples. The Spatiotemporal networks in DSTAN are based on two lightweight networks, namely, the spatiotemporal appearance network (STAN) learning the appearance features from the microexpression sequences and the spatiotemporal motion network (STMN) learning the motion features from optical flow sequences.

The aqueous extract of Lycopus lucidus Turcz exerts protective effects on podocytes injury of diabetic nephropathy via inhibiting TGF-β1 signal pathway.

Diabetic nephropathy (DN) is known as a major microvascular complication leading cause of end-stage renal disease, it generally followed by the process of podocyte fragmentation and detachment. Transforming growth factor β1 (TGF-β1) signaling pathway plays a pivotal role in the initiation and progression of DN. In present study, we aim to investigate the effect of lycopus extracts on podocytes injury and TGF-β signaling.

Association of chronic kidney disease and coronary artery disease in 1,010 consecutive patients undergoing coronary angiography.

Background: Patients with chronic kidney disease (CKD) are more likely to have complications due to cardiovascular disease (CVD). This study was performed to investigate the prevalence of chronic kidney disease (CKD) and the relation of CKD and number of stenosed coronary vessels in patients who had undergone coronary angiography with suspected coronary artery disease (CAD).

Methods: The data of 1,010 consecutive patients who underwent coronary angiography for suspected CAD in Zhongda Hospital were analyzed.