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Search Results: 1 - 10 of 290410 matches for " Chen-Yuan E. Lu "
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Using Mobile Health to Support the Chronic Care Model: Developing an Institutional Initiative
Shantanu Nundy,Jonathan J. Dick,Anna P. Goddu,Patrick Hogan,Chen-Yuan E. Lu,Marla C. Solomon,Arnell Bussie,Marshall H. Chin,Monica E. Peek
International Journal of Telemedicine and Applications , 2012, DOI: 10.1155/2012/871925
Abstract: Background. Self-management support and team-based care are essential elements of the Chronic Care Model but are often limited by staff availability and reimbursement. Mobile phones are a promising platform for improving chronic care but there are few examples of successful health system implementation. Program Development. An iterative process of program design was built upon a pilot study and engaged multiple institutional stakeholders. Patients identified having a “human face” to the pilot program as essential. Stakeholders recognized the need to integrate the program with primary and specialty care but voiced concerns about competing demands on clinician time. Program Description. Nurse administrators at a university-affiliated health plan use automated text messaging to provide personalized self-management support for member patients with diabetes and facilitate care coordination with the primary care team. For example, when a patient texts a request to meet with a dietitian, a nurse-administrator coordinates with the primary care team to provide a referral. Conclusion. Our innovative program enables the existing health system to support a de novo care management program by leveraging mobile technology. The program supports self-management and team-based care in a way that we believe engages patients yet meets the limited availability of providers and needs of health plan administrators. 1. Introduction Despite the availability of effective treatments, chronic diseases are often poorly controlled and remain a leading cause of preventable morbidity and mortality and excess costs worldwide [1, 2]. Outcomes are generally worse for patients of lower socioeconomic status, including racial and ethnic minorities, who experience higher rates of disease and complications, lower quality and access to care, and limited health literacy and social support [3, 4]. The Chronic Care Model (CCM) has been proposed as a multicomponent intervention to improve chronic care [5, 6]. Self-management support is a cornerstone of CCM and has been linked to improved health outcomes in a range of chronic conditions [7]. Yet, in practice, self-management support programs are poorly reimbursed, difficult to scale, and often unavailable [8]. Payers and providers recognize the need for self-management support programs, but often lack the human or financial resources needed to adequately provide them [8]. Existing programs may not be suitable for racial and ethnic minorities and traditionally rely on one-on-one or group sessions, which are resource intensive [8, 9]. In addition,
Predicting Rotator Cuff Tears Using Data Mining and Bayesian Likelihood Ratios
Hsueh-Yi Lu, Chen-Yuan Huang, Chwen-Tzeng Su, Chen-Chiang Lin
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0094917
Abstract: Objectives Rotator cuff tear is a common cause of shoulder diseases. Correct diagnosis of rotator cuff tears can save patients from further invasive, costly and painful tests. This study used predictive data mining and Bayesian theory to improve the accuracy of diagnosing rotator cuff tears by clinical examination alone. Methods In this retrospective study, 169 patients who had a preliminary diagnosis of rotator cuff tear on the basis of clinical evaluation followed by confirmatory MRI between 2007 and 2011 were identified. MRI was used as a reference standard to classify rotator cuff tears. The predictor variable was the clinical assessment results, which consisted of 16 attributes. This study employed 2 data mining methods (ANN and the decision tree) and a statistical method (logistic regression) to classify the rotator cuff diagnosis into “tear” and “no tear” groups. Likelihood ratio and Bayesian theory were applied to estimate the probability of rotator cuff tears based on the results of the prediction models. Results Our proposed data mining procedures outperformed the classic statistical method. The correction rate, sensitivity, specificity and area under the ROC curve of predicting a rotator cuff tear were statistical better in the ANN and decision tree models compared to logistic regression. Based on likelihood ratios derived from our prediction models, Fagan's nomogram could be constructed to assess the probability of a patient who has a rotator cuff tear using a pretest probability and a prediction result (tear or no tear). Conclusions Our predictive data mining models, combined with likelihood ratios and Bayesian theory, appear to be good tools to classify rotator cuff tears as well as determine the probability of the presence of the disease to enhance diagnostic decision making for rotator cuff tears.
Cross-Strait Charter Flights Arrangement: A Viable Model for Taiwan-China Negotiation?
Chen-yuan Tung
UNISCI Discussion Papers , 2005,
Abstract:
Effects of Ox-LDL on Macrophages NAD(P)H Autofluorescence Changes by Two-photon Microscopy
Ching-Ting Lin,En-Kuang Tien,Szu-Yuan Lee,Long-Sheng Lu,Chau-Chung Wu,Chen-Yuan Dong,Chii-Wann Lin
Physics , 2007,
Abstract: Ox-LDL uptakes by macrophage play a critical role in the happening of atherosclerosis. Because of its low damage on observed cells and better signal-to- background ratio, two-photon excitation fluorescence microscopy is used to observe NAD(P)H autofluorescence of macrophage under difference cultured conditions- bare cover glass, coated with fibronectin or poly-D-lysine. The results show that the optimal condition is fibronectin coated surface, on which, macrophages profile can be clearly identified on NAD(P)H autofluorescence images collected by two-photon microscopy. Moreover, different morphology and intensities of autofluorescence under different conditions were observed as well. In the future, effects of ox-LDL on macrophages will be investigated by purposed system to research etiology of atherosclerosis.
Using Finite Element Analysis and Experimental Analysis on Vibration of a Piezoelectric Micro Pump  [PDF]
Bo-Wun Huang, Jung-Ge Tseng, Chien-Hua Chang, Chen-Yuan Li
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.38128
Abstract:

Due to the rise of biological and MEMS technology in recent years, some micro flow system components have drawn attention and been developed by many investigators. The importance of micro-pumps manufactured is higher than the other part of micro flow system since it is the power source of the entire micro-flow system and responsible for driving working fluid in the microfluidic system. In actual operation, the instability and bad dynamic characteristics of the micro-pump will cause larger fluid flow mobility error, such as transport behavior and response procedures failure, etc., and even damage the microfluidic system. Therefore, to investigate the stability and dynamic characteristics of a micro pump is necessary. The Finite element analysis (FEA), ANSYS Workbench, is employed to analyze the dynamic characteristics of this micro pump, and experiment is also considered in this study.

Study on An Infrequent Multi-day Air Pollution Episode in Shanghai
上海市一次罕见的连续11天空气污染过程的特征及成因分析

WANG Jing,FU Qing-Yan,WANG Han-Zhen,LU Tao,LIN Chen-Yuan,FENG Jing,
王璟
,伏晴艳,王汉峥,陆涛,林陈渊,冯静

气候与环境研究 , 2008,
Abstract: 2005年11月22日~12月2日上海市环境空气质量罕见地出现连续11天轻度污染,作者从天气形势和气象因子变化着手,初步分析了此次污染事件的成因.结果表明:轻度污染期间,上海市主要受高压脊控制,天气晴朗,气温回升,日夜温差大,地面风速很小,早晚易出现逆温和轻雾,这种停滞的气象条件不利于大气污染物扩散,易造成轻度空气污染.后向轨迹和PM10与PM2.5浓度变化分析阐明,如果气旋移动在北方引起沙尘天气,冷空气南下途中没有显著降水,伴随锋面移动的大风天气极有可能长距离输送高空浮尘,造成下游地区PM10浓度显著上升,出现典型的颗粒物污染.
Analysis of Control Structure for Turning Maneuvers
Chia-Hung Shih,Saburo Yamamura,Chen-Yuan Chen
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/481438
Abstract: Although there have been a variety of studies about vehicular maneuvers on land or sea, maneuvers within a small area that require direction changes have rarely been discussed. The arrival or departure of ships to or from ports requires safe and effective turning maneuvers within a narrow area. In this study, we decompose the maneuver procedure into several operations, then establish an operational model, simplifying the behaviors of rudders and thrusters that operate the turning maneuver, ignoring the environmental factors. This proposed model is a unified model that can be applied to all types of ships, regardless of individual characteristics. Each operation is defined as an isolated procedure that has its own effect on the maneuver behavior and the whole maneuver procedure can be treated as a combination of these operations. A case study using this model to construct the optimal turning maneuver within a limited sea area is also provided.
Explicit force formlulas for two dimensional potential flow with multiple bodies and multiple free vortices
Chen-Yuan Bai,Juan Li,Zi-Niu Wu
Physics , 2013,
Abstract: For problems with multiple bodies, the current integral approach needs the use of auxiliary potential functions in order to have an individual force formula for each body. While the singularity approach, based on an extension of the unsteady Lagally theorem, is restricted to multibody and multivortex flows without bound vortex and vortex production. In this paper, we consider multibody and multivortex flow and derive force formulas, in both forms of singularity approach and integral approach but without auxiliary function, that give individual forces of each body for unsteady two dimensional potential flow with vortex production on the surface of bodies. A number of problems, including Karman vortex street, Wagner problem of impulsively starting flow, interaction of two circular cylinders with circulation, and interaction of an airfoil with a bound vortex, are used to validate the force formulas.
Merged Search Algorithms for Radio Frequency Identification Anticollision
Bih-Yaw Shih,Cheng-Wu Chen,Chen-Yuan Chen,Ta-Wei Lo
Mathematical Problems in Engineering , 2012, DOI: 10.1155/2012/609035
Abstract: Nowadays, the Radio Frequency Identification (RFID) system enables the control of many devices over an open communication infrastructure ranging from a small home area network to the global Internet. Moreover, a variety of consumer products are tagged with remotely low-cost readable identification electromagnetic tags to replace Bar Codes. Applications such as automatic object tracking, inventory and supply chain management, and Web appliances were adopted for years in many companies. The arbitration algorithm for RFID system is used to arbitrate all the tags to avoid the collision problem with the existence of multiple tags in the interrogation field of a transponder. A splitting algorithm which is called Binary Search Tree (BST) is well known for multitags arbitration. In the current study, a splitting-based schema called Merged Search Tree is proposed to capture identification codes correctly for anticollision. Performance of the proposed algorithm is compared with the original BST according to time and power consumed during the arbitration process. The results show that the proposed model can reduce searching time and power consumed to achieve a better performance arbitration.
Indoor solid fuel use and tuberculosis in China: a matched case-control study
Xiaohong Kan, Chen-Yuan Chiang, Donald A Enarson, Wenhua Chen, Jianan Yang, Genwang Chen
BMC Public Health , 2011, DOI: 10.1186/1471-2458-11-498
Abstract: Cases were new sputum smear positive tuberculosis patients. Two controls were selected from the neighborhood of each case matched by age and sex using a pre-determined procedure. A questionnaire containing demographic information, smoking habits and use of solid fuel for cooking or heating was used for interview. Solid fuel (coal and biomass) included coal/lignite, charcoal, wood, straw/shrubs/grass, animal dung, and agricultural crop residue. A household that used solid fuel either for cooking and (/or) heating was classified as exposure to combustion of solid fuel (indoor air pollution). Odds ratios and their corresponding 95% confidence limits for categorical variables were determined by Mantel-Haenszel estimate and multivariate conditional logistic regression.There were 202 new smear positive tuberculosis cases and 404 neighborhood controls enrolled in this study. The proportion of participants who used solid fuels for cooking was high (73.8% among cases and 72.5% among controls). The majority reported using a griddle stove (85.2% among cases and 86.7% among controls), had smoke removed by a hood or chimney (92.0% among cases and 92.8% among controls), and cooked in a separate room (24.8% among cases and 28.0% among controls) or a separate building (67.8% among cases and 67.6% among controls). Neither using solid fuel for cooking (odds ratio (OR) 1.08, 95% CI 0.62-1.87) nor using solid fuel for heating (OR 1.04, 95% CI 0.54-2.02) was significantly associated with tuberculosis. Determinants significantly associated with tuberculosis were household tuberculosis contact (adjusted OR, 27.23, 95% CI 8.19-90.58) and ever smoking tobacco (adjusted OR 1.64, 96% CI 1.01-2.66).In a population where the majority had proper ventilation in cooking places, the association between use of solid fuel for cooking or for heating and tuberculosis was not statistically significant.The internationally recommended strategy for global tuberculosis control relies heavily on both efficie
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