In order to improve the prediction precision of the safety performance function （SPF） of freeway basic segments, design and crash data of 640 segments are collected from different institutions. Three negative binomi...In order to improve the prediction precision of the safety performance function （SPF） of freeway basic segments, design and crash data of 640 segments are collected from different institutions. Three negative binomial （NB） regression models and three generalized negative binomial （GNB） regression models are built to prove that the interactive influence of explanatory variables plays an important role in fitting goodness. The effective use of the GNB model in analyzing the interactive influence of explanatory variables and predicting freeway basic segments is demonstrated. Among six models, the two models （one is the NB model and the other is the GNB model. ） which consider the interactive influence of the annual average daily traffic （AADT） and length are more reasonable for predicting results. Furthermore, a comprehensive study is carried out to prove that when considering the interactive influence, the NB and GNB models have almost the same fitting performance in estimating the crashes, among which the GNB model is slightly better for prediction performance.展开更多
The bed nucleus of the stria terminalis(BNST) plays a critical role in regulating anxiety, yet the involved specific cell types and their connections functioning in anxiety-related behaviors remains elusive. Here we i...The bed nucleus of the stria terminalis(BNST) plays a critical role in regulating anxiety, yet the involved specific cell types and their connections functioning in anxiety-related behaviors remains elusive. Here we identified two cell subpopulations—corticotropin-releasing hormone-positive(CRH+) and protein kinase C-δ-positive(PKC-δ+) neurons—each displayed discrete emotionally valenced behaviors in the anterior-dorsal BNST(ad BNST). Using whole-cell patch-clamp recordings and virus-assisted circuit tracing techniques, we delineated the local and long-range connectivity networks in a cell-type-specific manner. The results show that the CRH+ and PKC-δ+ neurons received inputs from similar brain regions and exhibited significant differences in the downstream projection density. In addition, in vivo calcium imaging as well as gain-and loss-of-function studies characterized the physiological response properties and the functional heterogeneities in modulating anxiety, further suggesting the similarity and individuality between the two ad BNST cell types. These results provide novel insights into the circuit architecture of ad BNST neurons underlying the functionally specific neural pathways that relate to anxiety disorders.展开更多
基金The National Natural Science Foundation of China(No.51408229,51278202)the Program of the Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University(No.K201204)the Science and Technology Program of Guangdong Communication Department(No.2013-02-068)
文摘In order to improve the prediction precision of the safety performance function （SPF） of freeway basic segments, design and crash data of 640 segments are collected from different institutions. Three negative binomial （NB） regression models and three generalized negative binomial （GNB） regression models are built to prove that the interactive influence of explanatory variables plays an important role in fitting goodness. The effective use of the GNB model in analyzing the interactive influence of explanatory variables and predicting freeway basic segments is demonstrated. Among six models, the two models （one is the NB model and the other is the GNB model. ） which consider the interactive influence of the annual average daily traffic （AADT） and length are more reasonable for predicting results. Furthermore, a comprehensive study is carried out to prove that when considering the interactive influence, the NB and GNB models have almost the same fitting performance in estimating the crashes, among which the GNB model is slightly better for prediction performance.
基金This work was supported by the National Natural Science Foundation of China(31671105)Science Fund for Creative Research Group of China(61721092),“National Basic Research Program of China”(973 program 2015CB755603)Director Fund of the Wuhan National Laboratory for Optoelectronics and partly supported by the open funds of the State Key Laboratory of Medical Neurobiology,Fudan University.
文摘The bed nucleus of the stria terminalis(BNST) plays a critical role in regulating anxiety, yet the involved specific cell types and their connections functioning in anxiety-related behaviors remains elusive. Here we identified two cell subpopulations—corticotropin-releasing hormone-positive(CRH+) and protein kinase C-δ-positive(PKC-δ+) neurons—each displayed discrete emotionally valenced behaviors in the anterior-dorsal BNST(ad BNST). Using whole-cell patch-clamp recordings and virus-assisted circuit tracing techniques, we delineated the local and long-range connectivity networks in a cell-type-specific manner. The results show that the CRH+ and PKC-δ+ neurons received inputs from similar brain regions and exhibited significant differences in the downstream projection density. In addition, in vivo calcium imaging as well as gain-and loss-of-function studies characterized the physiological response properties and the functional heterogeneities in modulating anxiety, further suggesting the similarity and individuality between the two ad BNST cell types. These results provide novel insights into the circuit architecture of ad BNST neurons underlying the functionally specific neural pathways that relate to anxiety disorders.
