Objective:To evaluate the clinical efficacy of stone needle therapy based on blood stasis theory for different traditional Chinese medicine(TCM)syndrome types of patients with knee osteoarthritis in early and middle s...Objective:To evaluate the clinical efficacy of stone needle therapy based on blood stasis theory for different traditional Chinese medicine(TCM)syndrome types of patients with knee osteoarthritis in early and middle stage.Methods:Totally 36 patients with knee osteoarthritis were enrolled in the orthopaedic ward between March 2016 and December 2017,and diagnosed as qi stagnation and blood stasis syndrome,cold dampness and stasis syndrome,or phlegm and stasis syndrome according to TCM syndrome differentiation.After treatment,stone needle was used for ironing on the different meridian acupoints according to different syndrome.The efficacy of patients with the above three syndromes was respectively evaluated,and the visual analogue scale(VAS)score and western ontario and mcMaster universities arthritis Index(WOMAC)score of the three groups were calculated before treatment,2 weeks,and 4 weeks after treatment.Results:The effective rates of the three groups were 86.67%,81.82%,and 80.00%,respectively.After 2 weeks and 4 weeks of treatment,the VAS and WOMAC scores of the three groups decreased significantly compared to treatment before(P<0.05).Conclusion:Stone needle therapy for ironing on the acupoints around the knee joint has a good therapeutic effect on knee osteoarthritis of different syndrome types,which is worthy of further application.展开更多
This article discusses the covariance correlation tensor (CCT) in quantum network theory for four Bell bases in detail. Furthermore, it gives the expression of the density operator in terms of CCT for a quantum networ...This article discusses the covariance correlation tensor (CCT) in quantum network theory for four Bell bases in detail. Furthermore, it gives the expression of the density operator in terms of CCT for a quantum network of three nodes, thus gives the criterion of entanglement for this case, i.e. the conditions of complete separability and partial separability for a given quantum state of three bodies. Finally it discusses the general case for the quantum network of nodes.展开更多
We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is driven by algori...We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is driven by algorithmic information theory (AIT), in general, and algorithmic randomness and Kolmogorov complexity (KC), in particular. The processing and recognition tasks addressed include data discrimination and multilayer open set data categorization, change detection, data aggregation, clustering and data segmentation, data selection and link analysis, data cleaning and data revision, and prediction and identification of critical states. The unifying theme throughout the paper is that of “compression entails comprehension”, which is realized using the interrelated concepts of randomness vs. regularity and Kolmogorov complexity. The constructive and all encompassing active learning (AL) methodology, which mediates and supports the above theme, is context-driven and takes advantage of statistical learning, in general, and semi-supervised learning and transduction, in particular. Active learning employs explore and exploit actions characteristic of closed-loop control for evidence accumulation in order to revise its prediction models and to reduce uncertainty. The set-based similarity scores, driven by algorithmic randomness and Kolmogorov complexity, employ strangeness / typicality and p-values. We propose the application of the IIM framework to critical states prediction for complex physical systems;in particular, the prediction of cyclone genesis and intensification.展开更多
文摘Objective:To evaluate the clinical efficacy of stone needle therapy based on blood stasis theory for different traditional Chinese medicine(TCM)syndrome types of patients with knee osteoarthritis in early and middle stage.Methods:Totally 36 patients with knee osteoarthritis were enrolled in the orthopaedic ward between March 2016 and December 2017,and diagnosed as qi stagnation and blood stasis syndrome,cold dampness and stasis syndrome,or phlegm and stasis syndrome according to TCM syndrome differentiation.After treatment,stone needle was used for ironing on the different meridian acupoints according to different syndrome.The efficacy of patients with the above three syndromes was respectively evaluated,and the visual analogue scale(VAS)score and western ontario and mcMaster universities arthritis Index(WOMAC)score of the three groups were calculated before treatment,2 weeks,and 4 weeks after treatment.Results:The effective rates of the three groups were 86.67%,81.82%,and 80.00%,respectively.After 2 weeks and 4 weeks of treatment,the VAS and WOMAC scores of the three groups decreased significantly compared to treatment before(P<0.05).Conclusion:Stone needle therapy for ironing on the acupoints around the knee joint has a good therapeutic effect on knee osteoarthritis of different syndrome types,which is worthy of further application.
文摘This article discusses the covariance correlation tensor (CCT) in quantum network theory for four Bell bases in detail. Furthermore, it gives the expression of the density operator in terms of CCT for a quantum network of three nodes, thus gives the criterion of entanglement for this case, i.e. the conditions of complete separability and partial separability for a given quantum state of three bodies. Finally it discusses the general case for the quantum network of nodes.
文摘We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is driven by algorithmic information theory (AIT), in general, and algorithmic randomness and Kolmogorov complexity (KC), in particular. The processing and recognition tasks addressed include data discrimination and multilayer open set data categorization, change detection, data aggregation, clustering and data segmentation, data selection and link analysis, data cleaning and data revision, and prediction and identification of critical states. The unifying theme throughout the paper is that of “compression entails comprehension”, which is realized using the interrelated concepts of randomness vs. regularity and Kolmogorov complexity. The constructive and all encompassing active learning (AL) methodology, which mediates and supports the above theme, is context-driven and takes advantage of statistical learning, in general, and semi-supervised learning and transduction, in particular. Active learning employs explore and exploit actions characteristic of closed-loop control for evidence accumulation in order to revise its prediction models and to reduce uncertainty. The set-based similarity scores, driven by algorithmic randomness and Kolmogorov complexity, employ strangeness / typicality and p-values. We propose the application of the IIM framework to critical states prediction for complex physical systems;in particular, the prediction of cyclone genesis and intensification.
