http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : David Wang (검색결과 129 건)
- 무료
- 기관 내 무료
- 유료
-
-
-
Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome
Wang, Helen H.,Lee, Dong Ki,Liu, Min,Portincasa, Piero,Wang, David Q.H. The Korean Society of Pediatric Gastroenterology 2020 Pediatric gastroenterology, hepatology & nutrition Vol.23 No.3
The metabolic syndrome, by definition, is not a disease but is a clustering of individual metabolic risk factors including abdominal obesity, hyperglycemia, hypertriglyceridemia, hypertension, and low high-density lipoprotein cholesterol levels. These risk factors could dramatically increase the prevalence of type 2 diabetes and cardiovascular disease. The reported prevalence of the metabolic syndrome varies, greatly depending on the definition used, gender, age, socioeconomic status, and the ethnic background of study cohorts. Clinical and epidemiological studies have clearly demonstrated that the metabolic syndrome starts with central obesity. Because the prevalence of obesity has doubly increased worldwide over the past 30 years, the prevalence of the metabolic syndrome has markedly boosted in parallel. Therefore, obesity has been recognized as the leading cause for the metabolic syndrome since it is strongly associated with all metabolic risk factors. High prevalence of the metabolic syndrome is not unique to the USA and Europe and it is also increasing in most Asian countries. Insulin resistance has elucidated most, if not all, of the pathophysiology of the metabolic syndrome because it contributes to hyperglycemia. Furthermore, a major contributor to the development of insulin resistance is an overabundance of circulating fatty acids. Plasma fatty acids are derived mainly from the triglycerides stored in adipose tissues, which are released through the action of the cyclic AMP-dependent enzyme, hormone sensitive lipase. This review summarizes the latest concepts in the definition, pathogenesis, pathophysiology, and diagnosis of the metabolic syndrome, as well as its preventive measures and therapeutic strategies in children and adolescents.
-
Less Volatile Value-at-Risk Estimation Under a Semi-parametric Approach
David K. Wang,Shih-Feng Huang 한국증권학회 2023 Asia-Pacific Journal of Financial Studies Vol.52 No.3
In this study, we propose a two-step, less-volatile value-at-risk (LVaR) estimation using a generalized nearly isotonic regression (GNIR) model. In the proposed approach, a VaR sequence is first produced under the generalized autoregressive conditional heteroskedasticity (GARCH) framework. Then, the VaR sequence is adjusted by GNIR, and the generated estimate is denoted as LVaR. The results of an empirical investigation show that LVaR outperformed other VaR estimates under the classic equally weighted and exponentially weighted moving-average frameworks. Furthermore, we show not only that LVaR is less volatile, but also that it performed reasonably well in various backtests.
-
Three-Dimensional Lock and Key Colloids
Wang, Yu,Wang, Yufeng,Zheng, Xiaolong,Yi, Gi-Ra,Sacanna, Stefano,Pine, David J.,Weck, Marcus American Chemical Society 2014 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.136 No.19
<P>Colloids with well-defined multicavities are synthesized through the hydrolytic removal of silica cluster templates from organo-silica hybrid patchy particles. The geometry of the cavities stems from the originally assembled cluster templates, displaying well-defined three-dimensional symmetries, ranging from spherical, linear, triangular, tetrahedral, trigonal dipyramidal, octahedral, to pentagonal dipyramidal. The concave surface of the cavities is smooth, and the cavity shallowness and size can be varied. These particles with multicavities can act as “lock” particles with multiple “key holes”. Up to <I>n</I> “key” particles can self-assemble into the lock particles via depletion interaction, resulting in multivalent, site-specific, reversible, and flexible bonding.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jacsat/2014/jacsat.2014.136.issue-19/ja502699p/production/images/medium/ja-2014-02699p_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ja502699p'>ACS Electronic Supporting Info</A></P>
-
Fatigue Performance Analysis of Pavements with RAP Using Viscoelastic Continuum Damage Theory
Yizhuang David Wang,Behrooz Keshavarzi,Youngsoo Richard Kim 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.6
This paper presents the results of a study to evaluate the fatigue performance of pavements that contain RAP materials. The studyis based on two different accelerated loading tests conducted in the United States. Each of these two projects has correspondingpavements with and without RAP mixtures that were constructed over the same aggregate base and subgrade and subjected to thesame traffic loading and environmental conditions. The primary reason for selecting these two projects is that they exhibited oppositetrends in a comparison of the fatigue cracking performance of their pavements with and without RAP. The asphalt mixtures in the testpavements were characterized using the simplified viscoelastic continuum damage model. The fatigue cracking performance of thepavements was then modeled using the characterized material properties, in situ pavement structures and traffic loads, and climateconditions in FlexPAVE™, a three-dimensional layered viscoelastic finite element program with moving load analysis. The resultantfatigue cracking performance predictions matched the field observations well. Both the simulation results and the field observationsalso showed that the fatigue cracking performance of the asphalt mixtures that contained RAP materials differed according topavement structure and the fatigue cracking-resistant quality of the RAP mixtures.
-
Development and Validation of an Attitudinal-Profiling Tool for Patients With Asthma
Aileen David-Wang,David Price,조상헌,James Chung-Man Ho,Chong-Kin Liam,Glenn Neira,Pei-Li Teh,REcognise Asthma and LInk to Symptoms and Experience 대한천식알레르기학회 2017 Allergy, Asthma & Immunology Research Vol.9 No.1
Purpose: To develop a profiling tool which accurately assigns a patient to the appropriate attitudinal cluster for the management of asthma. Methods: Attitudinal data from an online survey of 2,467 patients with asthma from 8 Asian countries/region, aged 18-50 years, having had ≥2 prescriptions in the previous 2 years and access to social media was used in a discriminant function analysis to identify a minimal set of questions for the Profiling Tool. A split-sample procedure based on 100 sets of randomly selected estimation and validation sub-samples from the original sample was used to cross-validate the Tool and assess the robustness of its predictive accuracy. Results: Our Profiling Tool contained 10 attitudinal questions for the patient and 1 GINA-based level of asthma control question for the physician. It achieved a predictive accuracy of 76.2%. The estimation and validation sub-sample accuracies of 76.7% and 75.3%, respectively, were consistent with the tool’s predictive accuracy at 95% confidence level; and their 1.4 percentage-points difference set upper-bound estimate for the degree of over-fitting. Conclusions: The Profiling Tool is highly predictive (>75%) of the attitudinal clusters that best describe patients with asthma in the Asian population. By identifying the attitudinal profile of the patient, the physician can make the appropriate asthma management decisions in practice. The challenge is to integrate its use into the consultation workflow and apply to areas where Internet resources are not available or patients who are not comfortable with the use of such technology.
-
Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome
Helen H. Wang,Dong Ki Lee,Min Liu,Piero Portincasa,David Q.-H. Wang 대한소아소화기영양학회 2020 Pediatric gastroenterology, hepatology & nutrition Vol.23 No.3
The metabolic syndrome, by definition, is not a disease but is a clustering of individual metabolic risk factors including abdominal obesity, hyperglycemia, hypertriglyceridemia, hypertension, and low high-density lipoprotein cholesterol levels. These risk factors could dramatically increase the prevalence of type 2 diabetes and cardiovascular disease. The reported prevalence of the metabolic syndrome varies, greatly depending on the definition used, gender, age, socioeconomic status, and the ethnic background of study cohorts. Clinical and epidemiological studies have clearly demonstrated that the metabolic syndrome starts with central obesity. Because the prevalence of obesity has doubly increased worldwide over the past 30 years, the prevalence of the metabolic syndrome has markedly boosted in parallel. Therefore, obesity has been recognized as the leading cause for the metabolic syndrome since it is strongly associated with all metabolic risk factors. High prevalence of the metabolic syndrome is not unique to the USA and Europe and it is also increasing in most Asian countries. Insulin resistance has elucidated most, if not all, of the pathophysiology of the metabolic syndrome because it contributes to hyperglycemia. Furthermore, a major contributor to the development of insulin resistance is an overabundance of circulating fatty acids. Plasma fatty acids are derived mainly from the triglycerides stored in adipose tissues, which are released through the action of the cyclic AMP-dependent enzyme, hormone sensitive lipase. This review summarizes the latest concepts in the definition, pathogenesis, pathophysiology, and diagnosis of the metabolic syndrome, as well as its preventive measures and therapeutic strategies in children and adolescents.
-
A Neural Network and Kalman Filter Hybrid Approach for GPS/INS Integration
Jianguo Jack Wang,Jinling Wang,David Sinclair,Leo Watts 한국항해항만학회 2006 한국항해항만학회 학술대회논문집 Vol.1 No.-
It is well known that Kalman filtering is an optimal real-time data fusion method for GPS/INS integration. However, it has some limitations in terms of stability, adaptability and observability. A Kalman filter can perform optimally only when its dynamic model is correctly defined and the noise statistics for the measurement and process are completely known. It is found that estimated Kalman filter states could be influenced by several factors, including vehicle dynamic variations, filter tuning results, and environment changes, etc., which are difficult to model. Neural networks can map input-output relationships without apriori knowledge about them; hence a proper designed neural network is capable of learning and extracting these complex relationships with enough training. This paper presents a GPS/INS integrated system that combines Kalman filtering and neural network algorithms to improve navigation solutions during GPS outages. An Extended Kalman filter estimates INS measurement errors, plus position, velocity and attitude errors etc. Kalman filter states, and gives precise navigation solutions while GPS signals are available. At the same time, a multi-layer neural network is trained to map the vehicle dynamics with corresponding Kalman filter states, at the same rate of measurement update. After the output of the neural network meets a similarity threshold, it can be used to correct INS measurements when no GPS measurements are available. Selecting suitable inputs and outputs of the neural network is critical for this hybrid method. Detailed analysis unveils that some Kalman filter states are highly correlated with vehicle dynamic variations. The filter states that heavily impact system navigation solutions are selected as the neural network outputs. The principle of this hybrid method and the neural network design are presented. Field test data are processed to evaluate the performance of the proposed method.
-
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
