33 research outputs found
A BIBLIOMETRIC STUDY ON CHINESE HERBAL MEDICINE TREATMENT OF CARDIOVASCULAR DISEASES
Background: The aims of this study are to evaluate and summarize the scientific production in the field of Chinese herbal medicine (CHM)
treatment of cardiovascular disease (CVD).
Methods: A systematic bibliometric search was performed based on the PubMed database covering relative publications between January 1,
1995, and December 31, 2014. Core of the search strategy include the key word cardiovascular disease and the Medical Subject Heading
Chinese herbal medicine. The number, type, country, major journals, and research focus of articles were analyzed in accordance with
bibliometrics methodologies.
Results: The retrieve results were analyzed and described in the form of texts, tables, and graphs. A total of 3,826 articles were identified,
40.28% of which were original articles. All articles were from 50 countries/territories. China was ranked first with 2,258 articles, followed by
Japan with 173 articles. 665 articles were published by Zhongguo Zhong Xi Yi Jie He Za Zhi.
Conclusion: The publication activity of literature has grown rapidly in the past 20 years, indicating enhanced attention and increasing research
input to CHM treatment of CVD. Owing to its great advances in scientific studies, CHM will continue to play an important role in medical
research
A Network-Based Approach to Investigate the Pattern of Syndrome in Depression
In Traditional Chinese Medicine theory, syndrome is essential to diagnose diseases and treat patients, and symptom is the foundation of syndrome differentiation. Thus the combination and interaction between symptoms represent the pattern of syndrome at phenotypic level, which can be modeled and analyzed using complex network. At first, we collected inquiry information of 364 depression patients from 2007 to 2009. Next, we learned classification models for 7 syndromes in depression using naïve Bayes, Bayes network, support vector machine (SVM), and C4.5. Among them, SVM achieves the highest accuracies larger than 0.9 except for Yin deficiency. Besides, Bayes network outperforms naïve Bayes for all 7 syndromes. Then key symptoms for each syndrome were selected using Fisher's score. Based on these key symptoms, symptom networks for 7 syndromes as well as a global network for depression were constructed through weighted mutual information. Finally, we employed permutation test to discover dynamic symptom interactions, in order to investigate the difference between syndromes from the perspective of symptom network. As a result, significant dynamic interactions were quite different for 7 syndromes. Therefore, symptom networks could facilitate our understanding of the pattern of syndrome and further the improvement of syndrome differentiation in depression
Multiresolution Foliage for Forest Rendering
A-09-19International audiencePlants are important objects in virtual environments. High complexity of shape structure is found in plant communities. Level of detail (LOD) of plant geometric models becomes important for interactive forest rendering. We emphasize three major problems in current research: the time consumption in LOD model construction and extraction, the balance between visual effect and data compression, and the time consumption in the communication between Central Processing Unit (CPU) and Graphics Processing Unit (GPU). We present a new foliage simplification framework for LOD model and forest rendering. By an uneven subdivision of the tree crown volume, the cost for LOD model construction is drastically reduced. With a GPU-oriented design of LOD storage structure for foliage, the costly hierarchical traversal of a binary tree is replaced by a sequential lookup of an array. The structure also decreases the communication between the CPU and the GPU in rendering. In addition, Leaf density is introduced to adapt compression to the local distribution of leaves, so that more visually relevant details are kept. According to foliage nature (broad leaves or needles), higher compression are finally reached using mixed polygon/line models. This framework is implemented on virtual scenes of simulated trees with high detai
3D craniofacial registration using thin-plate spline transform and cylindrical surface projection.
Craniofacial registration is used to establish the point-to-point correspondence in a unified coordinate system among human craniofacial models. It is the foundation of craniofacial reconstruction and other craniofacial statistical analysis research. In this paper, a non-rigid 3D craniofacial registration method using thin-plate spline transform and cylindrical surface projection is proposed. First, the gradient descent optimization is utilized to improve a cylindrical surface fitting (CSF) for the reference craniofacial model. Second, the thin-plate spline transform (TPST) is applied to deform a target craniofacial model to the reference model. Finally, the cylindrical surface projection (CSP) is used to derive the point correspondence between the reference and deformed target models. To accelerate the procedure, the iterative closest point ICP algorithm is used to obtain a rough correspondence, which can provide a possible intersection area of the CSP. Finally, the inverse TPST is used to map the obtained corresponding points from the deformed target craniofacial model to the original model, and it can be realized directly by the correspondence between the original target model and the deformed target model. Three types of registration, namely, reflexive, involutive and transitive registration, are carried out to verify the effectiveness of the proposed craniofacial registration algorithm. Comparison with the methods in the literature shows that the proposed method is more accurate
Fast Forest Visualization on Hierarchical Images and Visibility
Fast visualization of plant functional and structural information facilitates the understanding of the natural disturbance of trees in a forest. It is an important work in forest management on forest growth, species composition, forest structure and dynamic changes at different scales. Plant growth modeling has been widely researched, and many successful methodologies have been developed
Distribution of the reflexive error.
<p>Magnitudes from small to large are colored blue to red.</p