Objective: To observe and compare the clinical effects of different electroacupuncture waveforms on primary dysmenorrhea. Methods: This was a prospective, randomized, three-group, parallel-controlled trial. Participants with primary dysmenorrhea were randomly divided into dense-sparse wave, continuous wave, and discontinuous wave groups in a 1:1:1 ratio. Two lateral Ciliao (BL 32) points were used. All three groups started treatment 3–5 days before menstruation, once a day for six sessions per course of treatment, one course of treatment per menstrual cycle, and three menstrual cycles. The primary outcome measure was the proportion with an average visual analog scale (VAS) score reduction of ≥50% from baseline for dysmenorrhea in the third menstrual cycle during treatment. The secondary outcome measures included changes in dysmenorrhea VAS scores, Cox Menstrual Symptom Scale scores and the proportion of patients taking analgesic drugs. Results: The proportion of cases where the average VAS score for dysmenorrhea decreased by ≥50% from baseline in the third menstrual cycle was not statistically significant (P > .05). Precisely 30 min after acupuncture and regarding immediate analgesia on the most severe day of dysmenorrhea, there was a statistically significant difference in the dense-sparse wave group compared with the other two groups during the third menstrual cycle (P < .05). Additionally, there was a statistically significant difference between the dense-sparse wave and discontinuous wave groups 24 h after acupuncture (P < .05). Conclusions Waveform electroacupuncture can alleviate primary dysmenorrhea and its related symptoms in patients. The three groups showed similar results in terms of short- and long-term analgesic efficacy and a reduction in the number of patients taking analgesic drugs. Regarding achieving immediate analgesia, the dense-sparse wave group was slightly better than the other two groups.

This study was conducted to evaluate recipients' perception of service quality, satisfaction, and behavioral intention in home delivered meals program in the US. Out of 398 questionnaires, 265 (66.6%) were collected, and 209 questionnaires (52.5%) were used for the statistical analysis. A Confirmatory Factor Analysis (CFA) with a maximum likelihood was first conducted to estimate the measurement model by verifying the underlying structure of constructs. The level of internal consistency in each construct was acceptable, with Cronbach's alpha estimates ranging from 0.7 to 0.94. All of the composite reliabilities of the constructs were over the cutoff value of 0.50, ensuring adequate internal consistency of multiple items for each construct. As a second step, a Meals-On-Wheels (MOW) recipient perception model was estimated. The model's fit as indicated by these indexes was satisfactory and path coefficients were analyzed. Two paths between (1) volunteer issues and behavioral intention and (2) responsiveness and behavioral intention were not significant. The path for predicting a positive relationship between food quality and satisfaction was supported. The results show that having high food quality may create recipient satisfaction. The findings suggest that food quality and responsiveness are significant predictors of positive satisfaction. Moreover, satisfied recipients have positive behavioral intention toward MOW programs.
Food Quality ; Intention ; Meals ; Surveys and Questionnaires

Objective To evaluate the regulation of the TRPV1 receptor on the expression of EGFR protein and the effects on related cell functions.Methods Human pancreatic cancer cells PANC-1 were cultured and treated by over-expression and siRNA.Cell proliferations were detected by CCK-8 experiment.RT-PCR test was used to detect the expression of onco-genes Akt2 and K-ras.Results EGFR protein was down-regulated by TRPV1 over-expression or by agonist activation in pan-creatic cancer cells.EGFR protein was increased by the interference of TRPV 1 expression.The proliferation rate of pancreatic cancer cells was decreased and Akt2,K-ras were significantly inhibited by TRPV1 over-expressing.Conclusion The expres-sion of TRPV1 in pancreatic cancer cells regulated the EGFR protein content.The cell proliferation and oncogene expression were inhibited by TRPV1 over-expressing.

Astragali radix(AR,the dried root of Astragalus)is a popular herbal remedy in both China and the United States.The commercially available AR is commonly classified into premium graded(PG)and ungraded(UG)ones only according to the appearance.To uncover novel sensitive and specific markers for AR grading,we took the integrated mass spectrometry-based untargeted and targeted metabolomics ap-proaches to characterize chemical features of PG and UG samples in a discovery set(n=16 batches).A series of five differential compounds were screened out by univariate statistical analysis,including arginine,calycosin,ononin,formononetin,and astragaloside Ⅳ,most of which were observed to be accumulated in PG samples except for astragaloside Ⅳ.Then,we performed machine learning on the quantification data of five compounds and constructed a logistic regression prediction model.Finally,the external validation in an independent validation set of AR(n=20 batches)verified that the five com-pounds,as well as the model,had strong capability to distinguish the two grades of AR,with the pre-diction accuracy＞90％.Our findings present a panel of meaningful candidate markers that would significantly catalyze the innovation in AR grading.