Characteristics and comparative study of medicinal materials between China and India based on data mining from literatures.

ETHNOPHARMACOLOGICAL RELEVANCE: China and India have unique traditional medicine systems with vast territory and rich medical resources. Traditional medicines in China include traditional Chinese medicine, Tibetan medicine, Mongolian medicine, Uyghur medicine, Dai medicine, etc. In the third national survey of Chinese medicine resources, 12694 medicinal materials were identified. Traditional medicines in India include Ayurveda, Unani, Siddha, Homoeopathy, etc. There are 7263 medicinal materials in India. AIM OF THE STUDY: To reveal the characteristics of medicinal materials between China and India respectively, and to compare the similarities and differences in terms of properties, tastes, medicinal parts and therapeutic uses and to promote the exchange of traditional medicine between China and India and the international trade of traditional medicine industry. METHODS: The information of medicinal materials between China and India was extracted from The Chinese Traditional Medicine Resource Records and Pharmacopoeia of the People's Republic of China, as well as from 71 Indian herbal monographs. The information of each medicinal material, such as types, families, genera, properties, distribution, medicinal parts, efficacy, therapeutic uses, dosage form and dosage, was recorded in Excel for statistical analysis and visual comparison. RESULTS: A total of 12694 medicinal materials in China and 5362 medicinal materials in India were identified. The medicinal materials were mostly distributed in Southwest China and northern India. Plants were the main sources of medicinal materials. The common medicinal parts in China were whole medicinal materials, roots and rhizomes, and India used more renewable fruits, seeds and leaves. They are commonly used in the treatment of digestive system diseases. There were 1048 medicinal materials used by both China and India, which were distributed in 188 families and 685 genera. The Chinese and Indian pharmacopoeias had a total of 80 species of medicinal materials used by both China and India. CONCLUSIONS: The characteristics of medicinal materials between China and India were somewhat different, which was conducive to provide a reference basis for traditional medicine in China or India to increase the medicinal parts and indications when using a certain medicinal material, as well as to expand the source of medicine and introduce new resources. However, there were certain similarities and shared medicinal materials, which can tap the potential of bilateral trade of medicinal materials between China and India, so as to promote the medical cultural exchange and economic and trade cooperation between the two countries.

A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car.

In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the introduced DuSP method and the symmetrically similar structures of the controller and its parameter estimator of MFAC. Then, the proposed DuSP-MFAC scheme is successfully implemented in an autonomous car "Ruilong" for the lateral tracking control problem via converting the trajectory tracking problem into a stabilization problem by using the proposed preview-deviation-yaw angle. This MFAC-based lateral tracking control method was tested and demonstrated satisfactory performance on real roads in Fengtai, Beijing, China, and through successful participation in the Chinese Smart Car Future Challenge Competition held in 2015 and 2016.

Electroacupuncture for postoperative pain management after total knee arthroplasty: Protocol for a systematic review and meta-analysis.

BACKGROUND: Total knee arthroplasty (TKA) is one of the most common joint replacement surgeries in the United States. Postoperative pain is still a major complication after TKA. Electroacupuncture (EA) has been commonly used in clinical practice for pain after TKA, but its effects and safety remain uncertain. This protocol is described for a systematic review to investigate the beneficial effects and safety of EA for postoperative pain after TKA. METHODS: Randomized controlled trials (RCTs) related to EA treatment of pain after TKA will be collected from 3 databases of English literature, namely PubMed, Embase, and Cochrane Library, and 4 databases of Chinese literatures, namely CBM, CNKI, VIP and Wanfang database. The retrieved trials will be those published from the time when the respective databases were built to January 2018. The therapeutic effects according to the change from baseline in the amount of pain measured by the visual analogue scale (VAS) or numerical rating scale, will be accepted as the primary outcomes. We will use RevMan V.5.3 software as well to compute the data synthesis carefully when a meta-analysis is allowed. RESULTS: This systematic review and meta-analysis will provide a high-quality synthesis of current evidence of EA for pain after TKA. CONCLUSION: The conclusion of our systematic review will provide evidence to judge whether EA is an effective intervention for patient with postoperative pain after TKA. PROSPERO REGISTRATION NUMBER: PROSPERO CRD 42018082407.

Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems.

In this paper, a novel data-driven model-free adaptive predictive control method based on lazy learning technique is proposed for a class of discrete-time single-input and single-output nonlinear systems. The feature of the proposed approach is that the controller is designed only using the input-output (I/O) measurement data of the system by means of a novel dynamic linearization technique with a new concept termed pseudogradient (PG). Moreover, the predictive function is implemented in the controller using a lazy-learning (LL)-based PG predictive algorithm, such that the controller not only shows good robustness but also can realize the effect of model-free adaptive prediction for the sudden change of the desired signal. Further, since the LL technique has the characteristic of database queries, both the online and offline I/O measurement data are fully and simultaneously utilized to real-time adjust the controller parameters during the control process. Moreover, the stability of the proposed method is guaranteed by rigorous mathematical analysis. Meanwhile, the numerical simulations and the laboratory experiments implemented on a practical three-tank water level control system both verify the effectiveness of the proposed approach.

[Assessment of methodology and report quality of systematic evaluation and meta-analysis of acupuncture-moxibustion in China].

OBJECTIVE: To assess the methodology and report quality of systematic evaluation and Meta-analysis of acupuncture and moxibustion in China. METHODS: Retrieve CBM, CNKI, WF and VIP database, collect data from the information system established by Epidata 2.1, assess the methodology and report quality by using the QQAQ and QUOROM, calculate the percentage of adequate rate. RESULTS: Thirty-eight reviews, including twenty six systematic evaluation and twelve Meta-analyses, met the enrolled criteria. Twenty-two kinds of diseases and six diseases systems were included. The methodology quality scores were generally low (3.34 +/- 1.44). The causes of the problems were insufficient literature resource, bias in data collections and inaccurate merging methods. The report quality was relatively low in abstracts, methods, trial flow, introduction and data merging. CONCLUSION: The amount of literatures on systematic evaluation and Meta-analysis of acupuncture is gradually increasing from 2002. However, the quality control is not ideal. It is important to improve the methodology and report quality.