基于群数据的科学研究在医学健康照护领域备受关注。群数据指由多个数据集组成的数据集群。群数据具有明显的群特性,即不同数据集间个体的异质性。为了规范基于群数据的研究报告模式,研究人员于2022年11月在The BMJ发表了“Transparent ...基于群数据的科学研究在医学健康照护领域备受关注。群数据指由多个数据集组成的数据集群。群数据具有明显的群特性,即不同数据集间个体的异质性。为了规范基于群数据的研究报告模式,研究人员于2022年11月在The BMJ发表了“Transparent reporting of multivariable prediction models developed or validated using clustered data:TRIPOD‑Cluster checklist”(TRIPOD‑Cluster指南清单)。本文对该指南清单的关键内容进行了解读和评述,旨在促进对该指南清单的正确理解和应用。同时,从基于群数据模型的异质性和因果可解释性两个方面对该指南清单进行了拓展和延伸。展开更多
In this study, we analyze Cluster observations of whistler-mode chorus and hiss waves during the event of August 19-21, 2006. Chorus is present outside the plasmasphere and hiss occurs inside the plasmasphere. Using a...In this study, we analyze Cluster observations of whistler-mode chorus and hiss waves during the event of August 19-21, 2006. Chorus is present outside the plasmasphere and hiss occurs inside the plasmasphere. Using a recently constructed plasma boundary layer model, we perform a ray-tracing study on the propagation of chorus. Numerical results show that chorus can penetrate into the plasmasphere through the plasma boundary layer, evolving into hiss. The current data analysis and modeling provide a further observational support for the previous findings that chorus is the origin of plasmaspheric hiss.展开更多
This paper simultaneously investigates variable selection and imputation estimation of semiparametric partially linear varying-coefficient model in that case where there exist missing responses for cluster data. As is...This paper simultaneously investigates variable selection and imputation estimation of semiparametric partially linear varying-coefficient model in that case where there exist missing responses for cluster data. As is well known, commonly used approach to deal with missing data is complete-case data. Combined the idea of complete-case data with a discussion of shrinkage estimation is made on different cluster. In order to avoid the biased results as well as improve the estimation efficiency, this article introduces Group Least Absolute Shrinkage and Selection Operator (Group Lasso) to semiparametric model. That is to say, the method combines the approach of local polynomial smoothing and the Least Absolute Shrinkage and Selection Operator. In that case, it can conduct nonparametric estimation and variable selection in a computationally efficient manner. According to the same criterion, the parametric estimators are also obtained. Additionally, for each cluster, the nonparametric and parametric estimators are derived, and then compute the weighted average per cluster as finally estimators. Moreover, the large sample properties of estimators are also derived respectively.展开更多
A heterogeneous wireless sensor network comprises a number of inexpensive energy constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the improved cluster head in ...A heterogeneous wireless sensor network comprises a number of inexpensive energy constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the improved cluster head in a coordinated way. Employing clustering techniques in such networks can achieve balanced energy consumption of member nodes and prolong the network lifetimes.In classical clustering techniques, clustering and in-cluster data routes are usually separated into independent operations. Although separate considerations of these two issues simplify the system design, it is often the non-optimal lifetime expectancy for wireless sensor networks. This paper proposes an integral framework that integrates these two correlated items in an interactive entirety. For that,we develop the clustering problems using nonlinear programming. Evolution process of clustering is provided in simulations. Results show that our joint-design proposal reaches the near optimal match between member nodes and cluster heads.展开更多
OBJECTIVE: To use the theory of Traditional Chinese Medicine to identify the major symptom patterns of Parkinson's disease.METHODS: Journal databases were searched for relevant articles in the last 30 years. Artic...OBJECTIVE: To use the theory of Traditional Chinese Medicine to identify the major symptom patterns of Parkinson's disease.METHODS: Journal databases were searched for relevant articles in the last 30 years. Articles were reviewed for symptom patterns of Parkinson's disease and analyzed using frequency analysis, cluster analysis, and other methods of data extraction.RESULTS: The analyses indicated that the most frequent symptom patterns of Parkinson's disease are Yin deficiency of kidney and liver, deficiency of Qi and blood, phlegm heat and wind stirring, blood stasis and wind stirring, and deficiency of Yin and Yang.CONCLUSION: Taken together, the analyses identified the primary symptom patterns of Parkinson's disease as Yin deficiency of kidney and liver, deficiency of Qi and blood, phlegm heat and wind stirring, and blood stasis and wind stirring.展开更多
文摘基于群数据的科学研究在医学健康照护领域备受关注。群数据指由多个数据集组成的数据集群。群数据具有明显的群特性,即不同数据集间个体的异质性。为了规范基于群数据的研究报告模式,研究人员于2022年11月在The BMJ发表了“Transparent reporting of multivariable prediction models developed or validated using clustered data:TRIPOD‑Cluster checklist”(TRIPOD‑Cluster指南清单)。本文对该指南清单的关键内容进行了解读和评述,旨在促进对该指南清单的正确理解和应用。同时,从基于群数据模型的异质性和因果可解释性两个方面对该指南清单进行了拓展和延伸。
基金supported by National Natural Science Foundation of China(Nos.40925014,41274165,41204114)the Open Research Program from Key Laboratory of Basic Plasma Physics,Chinese Academy of Sciences(CAS)+1 种基金the Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Provincethe Construct Program of the Key Discipline in Hunan Province,China
文摘In this study, we analyze Cluster observations of whistler-mode chorus and hiss waves during the event of August 19-21, 2006. Chorus is present outside the plasmasphere and hiss occurs inside the plasmasphere. Using a recently constructed plasma boundary layer model, we perform a ray-tracing study on the propagation of chorus. Numerical results show that chorus can penetrate into the plasmasphere through the plasma boundary layer, evolving into hiss. The current data analysis and modeling provide a further observational support for the previous findings that chorus is the origin of plasmaspheric hiss.
文摘This paper simultaneously investigates variable selection and imputation estimation of semiparametric partially linear varying-coefficient model in that case where there exist missing responses for cluster data. As is well known, commonly used approach to deal with missing data is complete-case data. Combined the idea of complete-case data with a discussion of shrinkage estimation is made on different cluster. In order to avoid the biased results as well as improve the estimation efficiency, this article introduces Group Least Absolute Shrinkage and Selection Operator (Group Lasso) to semiparametric model. That is to say, the method combines the approach of local polynomial smoothing and the Least Absolute Shrinkage and Selection Operator. In that case, it can conduct nonparametric estimation and variable selection in a computationally efficient manner. According to the same criterion, the parametric estimators are also obtained. Additionally, for each cluster, the nonparametric and parametric estimators are derived, and then compute the weighted average per cluster as finally estimators. Moreover, the large sample properties of estimators are also derived respectively.
基金supported by National Natural Science Foundation of China(Nos.61304131 and 61402147)Grant of China Scholarship Council(No.201608130174)+2 种基金Natural Science Foundation of Hebei Province(Nos.F2016402054 and F2014402075)the Scientific Research Plan Projects of Hebei Education Department(Nos.BJ2014019,ZD2015087 and QN2015046)the Research Program of Talent Cultivation Project in Hebei Province(No.A2016002023)
文摘A heterogeneous wireless sensor network comprises a number of inexpensive energy constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the improved cluster head in a coordinated way. Employing clustering techniques in such networks can achieve balanced energy consumption of member nodes and prolong the network lifetimes.In classical clustering techniques, clustering and in-cluster data routes are usually separated into independent operations. Although separate considerations of these two issues simplify the system design, it is often the non-optimal lifetime expectancy for wireless sensor networks. This paper proposes an integral framework that integrates these two correlated items in an interactive entirety. For that,we develop the clustering problems using nonlinear programming. Evolution process of clustering is provided in simulations. Results show that our joint-design proposal reaches the near optimal match between member nodes and cluster heads.
基金Supported by Surface Project of National Natural Science Foundation of China,"TCM Compound Rehmannia Formula Regulating Basal Ganglia Loop to Treat Parkinson's Disease"(No.30973722)Surface Project of National Natural Science Foundation of China"Mechanism of TCM Compound Rehmannia Granule Regulating MAPK/ERK Signaling Pathway in Parkinson's Disease"(No.81573899)+2 种基金Shanghai TCM Research and Technology Support Project"Development of TCM Compound Rehmannia Granule Treating Parkinson's Disease"(No.12401900302)Shanghai TCM Research and Technology Support Project"Toxicological Research on TCM Compound Rehmannia Granules Treating Parkinson's Disease"(No.16401902400)Shanghai Municipal Health Bureau Scientific Research Project"Based on the Neural Plasticity Compound Rehmannia Treating Parkinson's Disease"(No.2012J009A)
文摘OBJECTIVE: To use the theory of Traditional Chinese Medicine to identify the major symptom patterns of Parkinson's disease.METHODS: Journal databases were searched for relevant articles in the last 30 years. Articles were reviewed for symptom patterns of Parkinson's disease and analyzed using frequency analysis, cluster analysis, and other methods of data extraction.RESULTS: The analyses indicated that the most frequent symptom patterns of Parkinson's disease are Yin deficiency of kidney and liver, deficiency of Qi and blood, phlegm heat and wind stirring, blood stasis and wind stirring, and deficiency of Yin and Yang.CONCLUSION: Taken together, the analyses identified the primary symptom patterns of Parkinson's disease as Yin deficiency of kidney and liver, deficiency of Qi and blood, phlegm heat and wind stirring, and blood stasis and wind stirring.
