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Search Results: 1 - 10 of 51107 matches for " CHEONG Kuai-da "
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Landscape pattern of avian habitats in Macau

ZHANG Min,ZOU Fas-heng,LEONG Kun-fong,CHEONG Kuai-da,

生态学杂志 , 2009,
Abstract: 以2006年澳门地区TM遥感图像为主要数据源,在RS、GIS技术支持下,根据与鸟类活动密切相关的生境特征,利用Fragstats 3.3分析生境格局的基本特征和地区差异,讨论了景观的破碎化程度、连通性、景观异质性等对鸟类有重要影响的生境因素。结果显示:澳门的鸟类生境格局在澳门半岛和路氹离岛差异较大,与其城市化的程度有较高的相关性;澳门半岛以建设用地为基底,绿地数量少且破碎,景观多样性和异质性较低;路氹离岛以林地为基底,中部填海区的建设用地和裸地以大斑块存在,生境类型分布较澳门半岛均匀,连通性较佳,总体鸟类生境格局优于澳门半岛。澳门半岛有鸟类72种,其中陆生鸟类48种、水鸟24种;路氹离岛有鸟类146种,其中陆生鸟类94种、水鸟52种。对鸟类调查数据分析发现,生境格局对于鸟类物种数、多样性和均匀度方面均有一定影响。澳门在珠江口地区候鸟迁徙和湿地保护方面的重要性较高,在城市发展过程中应重视提高景观多样性和异质性,保护重要鸟类生境,以适应不同鸟类对各种生境的需求。
Current status and prospect of acupuncture-moxibustion in treatment of cancer pain: a review
Zhong Xi Yi Jie He Xue Bao , 2008,
Quantum Cohomology Rings of Lagrangian and Orthogonal Grassmannians and Total Positivity
Daewoong Cheong
Mathematics , 2006,
Abstract: We verify in an elementary way a result of Peterson for the maximal orthogonal and Lagrangian Grassmannians, and then find Vafa-Intriligator type formulas which compute their 3-point, genus zero Gromov-Witten invariants. Finally we study total positivity of the related Peterson varieties and show that Rietsch's conjecture about the total positivity holds for these cases.
Comparative study on endoscopic mucosal resection and endoscopic submucosal dissection for the treatment of elevated colorectal lesions

XU Ying
, KUAI Rong, LI Ji, YANG Da-ming, ZHOU Fen-li, JIN Yun-fei, PENG Hai-xia

- , 2016, DOI: 10.3969/j.issn.1674-8115.2016.07.030
Abstract: 目的 评估内镜下黏膜切除术(EMR)和内镜下黏膜剥离术(ESD)治疗结直肠隆起性病变的有效性和安全性,并分析影响EMR治疗后局部复发的危险因素,以改善EMR及ESD治疗的适应证。方法 回顾性总结427例(606枚)EMR治疗和70例(80枚)ESD治疗结直肠隆起性病变患者的临床及手术资料,并分析获得随访的145例EMR和30例ESD患者的临床及手术资料。比较2组在手术并发症、局部复发率方面的差异,分析EMR组中局部复发相关危险因素。结果 ESD组中手术并发症为7.14%(5/70),EMR组为2.58%(11/427),2组在穿孔、大出血等并发症上的发生率无统计学差异(P=0.06);EMR组的局部复发率为22.76%(33/145),明显高于ESD组3.33%(1/30)(P<0.05)。多因素分析结果提示,结直肠非单发病灶为EMR术后发生局部复发的危险因素。结论 虽然ESD的手术并发症发生率高于EMR,但可更完整地切除病灶,术后局部复发率也更低;对于存在结直肠多发病灶的患者,EMR治疗后需密切随访。
: Objective To evaluate the efficacy and safety of endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) for the treatment of elevated colorectal lesions and analyze the risk factors for the local recurrence after EMR in order to improve the indications of EMR and ESD treatments. Methods The clinical and surgical data of 427 patients (with 606 colorectal lesions) undergoing EMR and 70 patients (with 80 colorectal lesions) undergoing ESD were retrospectively summarized. The clinical and surgical data of 145 patients undergoing EMR and 30 patients undergoing ESD obtained from follow-up visits were analyzed. The complications and local recurrence rates of two groups were compared and the risk factors for the local recurrence in the EMR group were analyzed. Results The rates of surgical complications in the ESD group and the EMR group were 7.14% (5/70) and 2.58% (11/427), respectively. There was no statistical difference in the rate of complications such as perforation and massive hemorrhage between two groups (P=0.06). The local recurrence rate of the EMR group was 22.76% (33/145), which was significantly higher than 3.33% (1/30) of the ESD group (P<0.05). The multiple factor analysis showed that multiple colorectal lesions were the risk factor for the local recurrence after EMR. Conclusion The rate of complications of ESD is higher than that of EMR with more complete resection of lesions and lower local recurrence rate. For patients with multiple colorectal lesions, close follow-up is required after EMR
Fuzzy cluster analysis of therapeutic effects of electro-acupuncture at different parameters
Le KUAI,Hua-yuan YANG
Zhong Xi Yi Jie He Xue Bao , 2009,
Abstract: Objective: To probe into the application of fuzzy cluster in analysis of therapeutic effects of electro-acupuncture at different parameters on adjuvant-induced arthritis (AA) in rats.Methods: One hundred Wistar rats were randomly divided into ten groups: normal control group, untreated group and eight electro-acupuncture groups at different parameters. There were ten rats in each group. AA rats were treated by electro-acupuncture at different frequencies (2 Hz or 100 Hz), waveforms (successive wave or intermittent wave) and current intensities (0.1 mA or 0.2 mA). Firstly, the anti-inflammatory and analgesic effects of electro-acupuncture at different parameters were compared with orthogonal experiment, and then with the application of fuzzy mathematics, the data of joint swelling, pain threshold and the contents of β-endorphin (β-EP) and interleukin-1β (IL-1β) after the treatment in all groups were standardized by the method of data range normalization. Programming and solution were done by MATLAB. The methods of fuzzy similar matrix and the transitive closure were used in similarity evaluation of therapeutic effects of electro-acupuncture at different parameters.Results: Based on index determination and variance analysis, both the normal control group and untreated group were clustered to one category as λ equaled to 0.72. Electro-acupuncture at 100 Hz, successive wave, 0.2 mA, electro-acupuncture at 100 Hz, intermittent wave, 0.1 mA and electro-acupuncture at 100 Hz, intermittent wave, 0.2 mA were clustered to one category and had similar good anti-inflammatory and analgesic effects. The therapeutic effects of the remaining electro-acupuncture types were similar.Conclusion: Fuzzy cluster analysis provides a better method for evaluating the overall therapeutic effects of electro-acupuncture with multiple factors.
G-parking functions and tree inversions
David Perkinson,Qiaoyu Yang,Kuai Yu
Mathematics , 2013,
Abstract: A depth-first search version of Dhar's burning algorithm is used to give a bijection between the parking functions of a graph and labeled spanning trees, relating the degree of the parking function with the number of inversions of the spanning tree. Specializing to the complete graph answers a problem posed by R. Stanley.
Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks
Feng Wang,Haiyan Wang,Kuai Xu
Computer Science , 2011,
Abstract: Online social networks have recently become an effective and innovative channel for spreading information and influence among hundreds of millions of end users. Many prior work have carried out empirical studies and proposed diffusion models to understand the information diffusion process in online social networks. However, most of these studies focus on the information diffusion in temporal dimension, that is, how the information propagates over time. Little attempt has been given on understanding information diffusion over both temporal and spatial dimensions. In this paper, we propose a Partial Differential Equation (PDE), specifically, a Diffusive Logistic (DL) equation to model the temporal and spatial characteristics of information diffusion in online social networks. To be more specific, we develop a PDE-based theoretical framework to measure and predict the density of influenced users at a given distance from the original information source after a time period. The density of influenced users over time and distance provides valuable insight on the actual information diffusion process. We present the temporal and spatial patterns in a real dataset collected from Digg social news site, and validate the proposed DL equation in terms of predicting the information diffusion process. Our experiment results show that the DL model is indeed able to characterize and predict the process of information propagation in online social networks. For example, for the most popular news with 24,099 votes in Digg, the average prediction accuracy of DL model over all distances during the first 6 hours is 92.08%. To the best of our knowledge, this paper is the first attempt to use PDE-based model to study the information diffusion process in both temporal and spatial dimensions in online social networks.
Modeling Information Diffusion in Online Social Networks with Partial Differential Equations
Haiyan Wang,Feng Wang,Kuai Xu
Computer Science , 2013,
Abstract: Online social networks such as Twitter and Facebook have gained tremendous popularity for information exchange. The availability of unprecedented amounts of digital data has accelerated research on information diffusion in online social networks. However, the mechanism of information spreading in online social networks remains elusive due to the complexity of social interactions and rapid change of online social networks. Much of prior work on information diffusion over online social networks has based on empirical and statistical approaches. The majority of dynamical models arising from information diffusion over online social networks involve ordinary differential equations which only depend on time. In a number of recent papers, the authors propose to use partial differential equations(PDEs) to characterize temporal and spatial patterns of information diffusion over online social networks. Built on intuitive cyber-distances such as friendship hops in online social networks, the reaction-diffusion equations take into account influences from various external out-of-network sources, such as the mainstream media, and provide a new analytic framework to study the interplay of structural and topical influences on information diffusion over online social networks. In this survey, we discuss a number of PDE-based models that are validated with real datasets collected from popular online social networks such as Digg and Twitter. Some new developments including the conservation law of information flow in online social networks and information propagation speeds based on traveling wave solutions are presented to solidify the foundation of the PDE models and highlight the new opportunities and challenges for mathematicians as well as computer scientists and researchers in online social networks.
Self-perceived competence correlates poorly with objectively measured competence in Evidence Based Medicine among medical students
Nai Lai, Cheong Teng
BMC Medical Education , 2011, DOI: 10.1186/1472-6920-11-25
Abstract: We recruited a group of medical students in their final six months of training between March and August 2006. The students were receiving a clinically-integrated EBM training program within their curriculum. We evaluated the students' self-perceived competence in two EBM domains ("searching for evidence" and "appraising the evidence") by piloting a questionnaire containing 16 relevant items, and objectively assessed their competence in EBM using an adapted version of the Fresno test, a validated tool. We correlated the matching components between our questionnaire and the Fresno test using Pearson's product-moment correlation.Forty-five out of 72 students in the cohort (62.5%) participated by completing the questionnaire and the adapted Fresno test concurrently. In general, our students perceived themselves as moderately competent in most items of the questionnaire. They rated themselves on average 6.34 out of 10 (63.4%) in "searching" and 44.41 out of 57 (77.9%) in "appraising". They scored on average 26.15 out of 60 (43.6%) in the "searching" domain and 57.02 out of 116 (49.2%) in the "appraising" domain in the Fresno test. The correlations between the students' self-rating and their performance in the Fresno test were poor in both the "searching" domain (r = 0.13, p = 0.4) and the "appraising" domain (r = 0.24, p = 0.1).This study provides supporting evidence that at the undergraduate level, self-perceived competence in EBM, as measured using our questionnaire, does not correlate well with objectively assessed EBM competence measured using the adapted Fresno test.International Medical University, Malaysia, research ID: IMU 110/06Evidence Based Medicine (EBM) has been incorporated into the curricula of many medical schools over the past two decades. Teaching learning activities and assessments in EBM are mainly based on the clearly defined domains of asking answerable clinical questions, searching for evidence, appraising the evidence and applying the evidence [1]
Using an Ishikawa diagram as a tool to assist memory and retrieval of relevant medical cases from the medical literature
Kam Cheong Wong
Journal of Medical Case Reports , 2011, DOI: 10.1186/1752-1947-5-120
Abstract: In this report, an Ishikawa diagram is used to demonstrate how to relate potential causes of a major presenting problem in a clinical setting. This tool can be used by teams in problem-based learning or in self-directed learning settings.An Ishikawa diagram annotated with references to relevant medical cases and literature can be continually updated and can assist memory and retrieval of relevant medical cases and literature. It could also be used to cultivate a lifelong learning habit in medical professionals.Doctors are accustomed to learning from their more experienced peers as well as from their own experiences in treating their patients [1]. Because of this, it is important that they develop learning techniques that are proactive and encourage a lifelong learning orientation. Case reports can provide valuable sources of information for others to learn from. Studying medical cases is an effective way to enhance clinical reasoning skills and reinforce clinical knowledge [2]. A case report provides important and detailed information about a patient that is often lost in larger studies [3]. Reading case reports is also intellectually stimulating. When clinicians or medical students analyze a clinical problem, they usually start with potential common causes. For example, if a patient presents with secondary amenorrhea, a clinician will consider common causes such as pregnancy and use of contraceptive medications before exploring other less common but critical causes such as hyperprolactinemia, ovarian cancer and so on.When clinicians are faced with a puzzling clinical problem, they may search journals that publish clinical cases for information about the condition [4]. There are various sources for medical cases such as the Journal of Medical Case Reports, BMJ Case Reports and the New England Journal of Medicine. However, because of the diversity of the case reports, it may be difficult to recall and organize the located material in a systematic manner in order to e
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