[Prediction of formability of flavonoid extract granules by dry granulation based on design space and RBFNN].

In this paper, a flavonoid extract powder properties-process parameters-granule forming rate prediction model was constructed based on design space and radial basis function neural network(RBFNN) to predict the formability of flavonoid extract gra-nules. Box-Behnken experimental design was employed to explore the mathematical relationships between critical process parameters and quality attributes. The design space of critical process parameters was developed, and the accuracy of the design space was verified by Monte Carlo method(MC). Design Expert 10 was used for Box-Behnken design and mixture design. Scutellariae Radix mixed powder was prepared and its powder properties were measured. The mixed powder was then subjected to dry granulation and the granule forming rate was determined. The correlations between powder properties were analyzed by variance influence factor(VIF), and principal component analysis(PCA) was performed for the factors with strong collinearity. In this way, a prediction model of powder properties-process parameters-granule forming rate was established based on RBFNN, the accuracy of which was evaluated with examples. The results showed that the model had a good predictive effect on the granule forming rate, with the average relative error of 1.04%. The predicted value and the measured value had a high degree of fitting, which indicated that model presented a good prediction ability. The prediction model established in this study can provide reference for the establishment of quality control methods for Chinese medicinal preparations with similar physical properties.

[Research on Bayesian fault diagnosis model of traditional Chinese medicine dry granulation based on failure model and effect analysis (FMEA)].

This paper aims to construct a Bayesian(BN) fault diagnosis model of traditional Chinese medicine dry granulation based on the failure model and effect analysis(FMEA), effectively control risk factors and ensure the quality of granules.Firstly, the risk ana-lysis of dry granulation process was carried out with FMEA, and the selected medium and high risk factors were taken as node variables to establish corresponding BN network with causality.According to the mathematical reasoning method of probability theory, the model was accurately inferred and verified by Netica, and the granule nonconformance was used as the evidence for reversed reasoning to determine the most likely cause of the failure that affected the granule quality.The BN fault diagnosis model of traditional Chinese medicine dry gra-nulation was established based on the medium and high risk factors of process, prescription and equipment screened out by FMEA, such as roller pressure, raw material viscosity, clearance between rollers in the paper.The fault diagnosis of traditional Chinese medicine dry granulation process was then carried out according to the model, and the posterior probability of each node under the premise of nonconforming granule quality was obtained.This method could provide strong support for operators to quickly eliminate faults and make decisions, so as to improve the efficiency and accuracy for fault diagnosis and prediction, with innovation in its application.

[Material properties and tensile strength prediction model of traditional Chinese medicine tablets based on PCA-RBF neural network].

This paper constructs a prediction model of material attribute-tensile strength based on principal component analysis-radial basis neural network( PCA-RBF),in order to predict the formability of traditional Chinese medicine tablets. Firstly,design Expert8. 0 software was used to design the dosage of different types of extracts,the mixture of traditional Chinese medicine with different physical properties was obtained,the powder properties of each extract and the tensile strength of tablets were determined,the correlation of the original input layer data was eliminated by PCA,the new variables unrelated to each other were trained as the input data of RBF neural network,and the tensile strength of the tablets was predicted. The experimental results showed that the PCA-RBF model had a good predictive effect on the tensile strength of the tablet,the minimum relative error was 0. 25%,the maximum relative error was2. 21%,and the average error was 1. 35%,which had a high fitting degree and better network prediction accuracy. This study initially constructed a prediction model of material properties-tensile strength of Chinese herbal tablets based on PCA-RBF,which provided a reference for the establishment of effective quality control methods for traditional Chinese medicine preparations.

Acupuncture for emotional disorders in patients with inflammatory bowel disease: a systematic review protocol.

INTRODUCTION: Emotional disorders are often observed in inflammatory bowel disease (IBD). IBD with emotional disorders leads to poor quality of life. This systematic review aims to assess the effectiveness of acupuncture in patients with IBD with emotional disorders. METHODS AND ANALYSIS: Nine electronic databases, including Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, Allied and Complementary Medicine Database, Cumulative Index to Nursing & Allied Health Literature, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, VIP Database and Wanfang Database, will be searched from inception to October 2021 without language restriction. The grey literature containing conference proceedings, as well as systematic reviews listed in the reference of definite publications, will also be retrieved. Randomised controlled trials either in English or Chinese reporting acupuncture therapy for IBD with emotional disorders will be included. The primary outcome is changes of emotional functioning outcomes. The Colitis Activity Index, Crohn's Disease Activity Index, C reactive protein and adverse events will be assessed as the secondary outcomes. More than two assessors will conduct the study retrieval and selection, as well as the data extraction and evaluation of the risk of bias. Data synthesis will be performed using a random-effects model based on the results of heterogeneity. Data analysis will be performed using RevMan software (V.5.4). Moreover, the dichotomous data will be presented as risk ratios, and the continuous data will be calculated using weighted mean difference or standard mean difference. ETHICS AND DISSEMINATION: This systematic review contains no individual patient data; thus, ethical approval is not required. Moreover, this review will be disseminated in a peer-reviewed journal or relevant conference. PROSPERO REGISTRATION NUMBER: CRD42020176340.

Effectiveness and safety of acupuncture therapy for inflammatory bowel disease: a protocol of systematic review and meta-analysis.

INTRODUCTION: Previous reviews have suggested that the effectiveness of acupuncture for inflammatory bowel disease (IBD) has not well been demonstrated due to the limited randomised controlled trials (RCTs). In recent years, the growing research on acupuncture for IBD make it possible to conduct a further systematic review and synthesise more sufficient clinical data to evaluate the effectiveness and safety of acupuncture for IBD. METHODS AND ANALYSIS: Nine electronic databases without language restriction will be retrieved from inception to March 2021, including the Cochrane Library, MEDLINE, EMBASE, Ovid, the Allied and Complementary Medicine Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, the Chongqing Chinese Science and Technology Periodical Database and Wanfang Database. The RCTs on acupuncture for IBD will be included. The data screening, data extraction and the assessment of risk bias will be performed respectively by two reviewers. The quality of evidence will be evaluated by using the Grading of recommendation Assessment, Development and Evaluation application. The meta-analysis will be performed if heterogeneity analysis conducted on the RevMan software (V.5.3) is insignificant. The primary outcome was symptoms alleviation after acupuncture treatment or even in the follow-up. ETHICS AND DISSEMINATION: Ethical approval will not be needed because data of this review are not involved in patient's information and privacy. The results will be published and diffused in a peer-reviewed journal or relative conferences. TRIAL REGISTRATION NUMBER: CRD42020157903.

The cerebral mechanism underlying the acupoints with specific effect for gallbladder stone disease: protocol for a randomized controlled task-fMRI trial.

BACKGROUND: As it has been recorded in ancient Chinese classics, Yanglingquan (GB34) and Dannangxue (EX-LE6) are two important acupoints that can regulate the function of the gallbladder. Acupuncture at these two acupoints is considered particularly effective for gallbladder disease treatment, especially for alleviating gallbladder stone disease (GSD) symptoms that can be aggravated after intaking high-fat food. However, the superior effect between the two acupoints still needs to be further explored, as well as the underlying central mechanism has never been investigated to date. METHODS AND DESIGN: Ninety participants diagnosed with GSD will be randomly divided into group A (acupuncture at GB34), group B (acupuncture at EX-LE6), and group C (acupuncture at non-acupoint) in a ratio of 1:1:1. All of them will receive a 30-min acupuncture treatment with fatty-food cues being presented before and after acupuncture. During the task, participants will be scanned by MRI and required to rate their desire for high-/low-fat food with an 11-point Likert scale. Additionally, the participants' pain/discomfort sensation will be evaluated using the Numeric Rating Scale (NRS) at four timepoints, including before the 1st task fMRI scan, before and after acupuncture, and after the 2nd task fMRI scan. For both behavior and fMRI data, the ANOVA analysis will be conducted among three groups to testify the immediate effect of GB34 and EX-LE6. The post hoc t-test will be employed to further explore the superiority between acupuncture with GB34 and EX-LE6. Furthermore, correlation analyses will be conducted to investigate a possible correlation between neural changes and clinical data. DISCUSSION: In comparison to the non-acupoint, the results will firstly explore the superior effect between acupuncture with GB34 and EX-LE6 on GSD patients by observing their behavioral and neural response change to fatty-food cue, and then to investigate the underlying central mechanism. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2000034368 . Registered on 3 July 2020.