A spinal neural circuit for electroacupuncture that regulates gastric functional disorders.

Objective: Acupuncture therapies are known for their effectiveness in treating a variety of gastric diseases, although the mechanisms underlying these effects are not fully understood. This study tested the effectiveness of electroacupuncture (EA) at acupoints Zhongwan (RN12) and Weishu (BL21) for managing gastric motility disorder (GMD) and investigated the underlying mechanisms involved.

Methods: A GMD model was used to evaluate the impact of EA on various aspects of gastric function including the amplitude of gastric motility, electrogastrogram, food intake, and the rate of gastric emptying.

Grey modelling and real-time forecasting for the approximate non-homogeneous white exponential law BDS clock bias sequences.

Precise forecasting of satellite clock bias is crucial for ensuring service quality and enhancing the efficiency of real-time precise point positioning (PPP).The grey model with many benefits is an excellent choice for predicting real-time clock bias. However, the absolute prediction error of a small number of satellites is very high in actual forecasting process.

Clinical efficacy of lenvatinib, trans-arterial chemoembolization, and PD-1/L1 inhibitors in advanced hepatocellular carcinoma: a systematic review and network meta-analysis.

Background: Currently, the effectiveness of TACE, Lenvatinib, and PD-1/L1 inhibitors used alone or in combination has been thoroughly reported. However, the differences in effectiveness between these treatment protocols require further verification. To this end, this study employs a Bayesian network meta-analysis to compare the efficacy and safety of TACE, Lenvatinib, and PD-1/L1 inhibitors, whether administered by monotherapy or in combination, providing evidence-based medicine for the treatment of unresectable HCC.