Confinement loss prediction in diverse anti-resonant fibers through neural networks.

In this work, genetic algorithm (GA) is employed to optimize convolutional neural networks (CNNs) for predicting the confinement loss (CL) in anti-resonant fibers (ARFs), achieving a prediction accuracy of CL magnitude reached 90.6%, which, to the best of our knowledge, represents the highest accuracy to date and marks the first instance of using a single model to predict CL across diverse ARF structures. Different from the previous definition of ARF structures with parameter groups, we use anchor points to describe these structures, thus eliminating the differences in expression among them. This improvement allows the model to gain insight into the specific structural characteristics, thereby enhancing its generalization capabilities. Furthermore, we demonstrate a particle swarm optimization algorithm (PSO), driven by our model, for the design of ARFs, validating the model's robust predictive accuracy and versatility. Compared with the calculation of CL by finite element method (FEM), this model significantly reduces the cost time, and provides a speed-up method in fiber design driven by numerical calculation.

The efficacy of platelet-rich plasma and hyaluronic acid intra-articular injection in the treatment of knee osteoarthritis: a meta-analysis / 实用医学杂志

Objective To investigate the efficacy of platelet-rich plasma and hyaluronic acid intra-articular injection in patients with knee osteoarthritis. Method The following databases, including PubMed, Embase, the Cochrane Library and WANFANG, were used for collecting the randomized controlled trials, prospective control trials and experimental research about the therapy efficacies of platelet-rich plasma and hyaluronic acid on knee osteoarthritis. The meta-analysis was performed using RevMan 5.3 for Windows. Results Eleven publications, including six RCTs, one PCT and four ER, met the inclusion criteria. There were significant differences in WOMAC scores and IKDC scores between the PRP group and the HA group. but no significant differences were observed in Lequesne index between the PRP group and the HA groups at six month post treatment. Conclusion PRP intra-articular injection was better and more durable than HA in the treatment of knee osteoarthritis.