Electroacupuncture Ameliorated Locomotor Symptoms in MPTP-Induced Mice Model of Parkinson's Disease by Regulating Autophagy via Nrf2 Signaling.

Parkinson's disease (PD) is a prevalent and challenging neurodegenerative disorder, and may involve impaired autophagy. Nuclear factor erythroid-2-related factor 2 (Nrf2) is crucial for regulating autophagy-related genes, maintaining cellular homeostasis. Electroacupuncture (EA), a complementary and alternative therapy for PD, has gained widespread clinical application.

[Clinical application of mineralized collagen scaffolds in surgical treatment of skull defects].

Objective: To explore the clinical application value of mineralized collagen (MC) bone scaffolds in repairing various types of skull defects, and to assess the suitability and repair effectiveness of porous MC (pMC) scaffolds, compact MC (cMC) scaffolds, and biphasic MC composite (bMC) scaffolds.

Methods: A retrospective analysis was conducted on the clinical data of 105 patients who underwent skull defect repair with pMC, cMC, or bMC between October 2014 and April 2022. The cohort included 63 males and 42 females, ranging in age from 3 months to 55 years, with a median age of 22.

[Sphingosine kinase-1 regulates migration and invasion of gastric cancer cells targeting the nuclear factor-κB signaling pathway].

Objective: To investigate the role of sphingosine kinase-1 (SPHK1) in regulating migration and invasion of gastric cancer (GC) cells.

Methods: TIMER2.0, GEPIA and HPA databases were used to investigate SPHK1 expression in GC, and its association with prognosis of the patients was analyzed using Kaplan-Meier Plotter database.

Evolutionary architecture search for generative adversarial networks using an aging mechanism-based strategy.

Generative Adversarial Networks (GANs) have emerged as a key technology in artificial intelligence, especially in image generation. However, traditionally hand-designed GAN architectures often face significant training stability challenges, which are effectively addressed by our Evolutionary Neural Architecture Search (ENAS) algorithm for GANs, named EAMGAN. This one-shot model automates the design of GAN architectures and employs an Operation Importance Metric (OIM) to enhance training stability.