ObjectiveTo find out whether there is any difference in the monitoring results of mosq-ovitraps placed in different orientations in multi-storey residential areas, so as to provide a scientific basis for routine and emergency monitoring of Aedes albopictus with mosq-ovitraps in residential areas. MethodsFrom July 6th to October 26th 2023, one mosquito ovitrap was set up in each of the 4 orientations of east, south, west and north around the buildings in a multi-storey residential area in Jinhui Town, Fengxian District, Shanghai. Data was collected and recorded 72 hours after placement. The chi-square test was used to compare the mosquito ovitrap indices (MOIs) of two independent samples, and the Kruskal⁃Wallis H test was used to compare the MOIs of multiple independent samples. ResultsAfter 16 weeks of surveillance, 997 mosquito ovitraps were recovered, of which 211 were positive, with the mosquito ovitrap index (MOI) of 21.16% and the Aedes albopictus density index of 1.03 mosquitoes·ovitrap^-1. The MOIs were higher in September (24.22%) and October (23.96%), and the MOIs in the west, south and north within the two months were all above 20.00%. From July to October, the MOIs in the east, west, south and north were 20.70%, 22.20%, 25.50% and 16.20%, respectively, and the difference in MOIs among the 4 orientations was not statistically significant (χ²=6.647, P=0.084). Stratified analysis by month showed that in August, the south side of the multi-storey residential areas had the highest MOI (31.30%), the north side had the lowest MOI (1.30%), and there was a statistically significant difference in MOI in the east, west, south and north (χ²=25.986, P<0.001). In October, the MOI in the west was the highest (33.30%) and the MOI in the east was the lowest (6.30%), the difference in MOIs of the 4 orientations was statistically significant (χ²=12.007, P=0.007). The MOIs in the south side of the building in the outskirts of the residential area from the 1st week in July to the 4th week in October was lower (19.20%) than that in the south side of the inner building (31.70%), and the difference in MOI was statistically significant (χ²=5.118, P=0.024). ConclusionThe study of MOI in different orientations in a multi-storey residential area is a preliminary exploration based on field work, and the results show that there is a difference in MOIs in different orientations during the peak breeding period of mosquitoes. Further indicators such as temperature, humidity and wind speed in different orientations can be collected to explore the influencing factors of MOIs.

The aryl hydrocarbon receptor (AhR) plays a crucial role in regulating many physiological processes. Activating the AhR-CYP1A1 axis has emerged as a novel therapeutic strategy against various inflammatory diseases. Here, a practical in situ cell-based fluorometric assay was constructed to screen AhR-CYP1A1 axis modulators, via functional sensing of CYP1A1 activities in live cells. Firstly, a cell-permeable, isoform-specific enzyme-activable fluorogenic substrate for CYP1A1 was rationally constructed for in-situ visualizing the dynamic changes of CYP1A1 function in living systems, which was subsequently used for discovering the efficacious modulators of the AhR-CYP1A1 axis. Following screening of a compound library, LAC-7 was identified as an efficacious activator of the AhR-CYP1A1 axis, which dose-dependently up-regulated the expression levels of both CYP1A1 and AhR in multiple cell lines. LAC-7 also suppressed macrophage M1 polarization and reduced the levels of inflammatory factors in LPS-induced bone marrow-derived macrophages. Animal tests showed that LAC-7 could significantly mitigate DSS-induced ulcerative colitis and LPS-induced acute lung injury in mice, and markedly reduced the levels of multiple inflammatory factors. Collectively, an optimized fluorometric cell-based assay was devised for in situ functional imaging of CYP1A1 activities in living systems, which strongly facilitated the discovery of efficacious modulators of the AhR-CYP1A1 axis as novel anti-inflammatory agents.

This study explored how the human cortical folding pattern composed of convex gyri and concave sulci affected single-subject morphological brain networks, which are becoming an important method for studying the human brain connectome. We found that gyri-gyri networks exhibited higher morphological similarity, lower small-world parameters, and lower long-term test-retest reliability than sulci-sulci networks for cortical thickness- and gyrification index-based networks, while opposite patterns were observed for fractal dimension-based networks. Further behavioral association analysis revealed that gyri-gyri networks and connections between gyral and sulcal regions significantly explained inter-individual variance in Cognition and Motor domains for fractal dimension- and sulcal depth-based networks. Finally, the clinical application showed that only sulci-sulci networks exhibited morphological similarity reductions in major depressive disorder for cortical thickness-, fractal dimension-, and gyrification index-based networks. Taken together, these findings provide novel insights into the constraint of the cortical folding pattern to the network organization of the human brain.
Humans ; Cerebral Cortex/anatomy & histology* ; Male ; Female ; Magnetic Resonance Imaging ; Adult ; Connectome/methods* ; Young Adult ; Nerve Net/anatomy & histology* ; Neural Pathways ; Depressive Disorder, Major/diagnostic imaging*

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.

Objective It screens the main factors influencing the choice of the governance structure of the medical alliances,and discusses the matching relationship between the type of governance structure and the performance of the medical alliances,which provides a reference for further promoting the medical alliances.Methods The text coding analysis of interview data from hospital administrators of 54 medical institutions was analyzed using the rooting theory,and 150 medical alliances were selected for questionnaire surveys using convenience sampling to analyze the performance of the medical alliances and the relationship with the choice of the type of governance structure using descriptive statistics,nonparametric tests,factor analysis,and multivariate linear regression.Results The results show that the following factors affect the selection of the governance structure of medical alliances:asset specificity,transaction frequency and uncertainty;regardless of the type of governance structure of the medical alliances,asset specificity and uncertainty both significantly and positively influence the performance of medical alliances.Under the governance structure of the property-type alliance,transaction frequency has no statistically significant effect on the performance of the medical alliances.Conclusion Enhancing the positive impact of asset exclusivity and uncertainty on the performance of medical alliances.