Search

Social capital plays a crucial role in enhancing community resilience during flood disasters. This study investigates the influence of social capital on community resilience in Nanjing, China. Social capital is composed of five aspects: cohesion, collective efficacy, sense of belonging, trust and reciprocity and informal social control. Factor analysis and multiple regression analysis are employed to analyze the dimensions of social capital and its impact on community resilience. Our results demonstrate that social cohesion and collective efficacy are the most representative factors of social capital. Reformed housing communities typically have higher cohesion than those in commercial and affordable housing. Affordable housing communities in flood-prone areas have higher collective efficacy but lower trust and reciprocity. Commercial housing communities have higher informal social control but have great internal differences in collective efficacy. We strongly urge government decision makers to enhance flood resilience by fostering social capital within local communities.

It is well known that driving while fatigued is dangerous and can lead to serious traffic accidents. However, there is a lack of studies on the mechanism of fatigue. This paper sought to infer changes in the cardiovascular system through hand and head skin temperature peripheral factors via an integrated lumped parameter model. A multi-layer inner structure with variable blood perfusion was used to construct a full-body thermal model. The cardiovascular system model provided blood perfusion using lumped parameters. The peripheral resistance and heart rate in the cardiovascular system model were adjusted to match the experimental temperatures of the head and hands obtained from induced fatigue experiments. The simulation results showed that the heart rate and blood pressure decreased, and the peripheral skin resistance of the hands and head increased after fatigue. A decrease in heart rate and an increase in peripheral resistance affect the magnitude of blood flow to the periphery of the body, leading to a decrease in skin temperature during fatigue. The present integrated model elucidates a key effect of human fatigue on the cardiovascular system, which is expected to help improve the accuracy of fatigue monitoring systems.

Verticillium wilt (VW) is a soil-borne fungal disease caused by Verticillium dahliae Kleb, which leads to serious damage to cotton production annually in the world. In our previous study, a transmembrane protein 214 protein (TMEM214) gene associated with VW resistance was map-based cloned from Gossypium barbadense (G. barbadense). TMEM214 proteins are a kind of transmembrane protein, but their function in plants is rarely studied. To reveal the function of TMEM214s in VW resistance, all six TMEM214s were cloned from G. barbadense in this study. These genes were named as GbTMEM214-1_A/D, GbTMEM214-4_A/D and GbTMEM214-7_A/D, according to their location on the chromosomes. The encoded proteins are all located on the cell membrane. TMEM214 genes were all induced with Verticillium dahliae inoculation and showed significant differences between resistant and susceptible varieties, but the expression patterns of GbTMEM214s under different hormone treatments were significantly different. Virus-induced gene silencing analysis showed the resistance to VW of GbTMEM214s-silenced lines decreased significantly, which further proves the important role of GbTMEM214s in the resistance to Verticillium dahliae. Our study provides an insight into the involvement of GbTMEM214s in VW resistance, which was helpful to better understand the disease-resistance mechanism of plants.

Waterlogging occurs when field soil is saturated with water induced by extensive rainfall or improper irrigation, which is a severe abiotic stress influencing wheat plant growth and yield production. At the germination stage, waterlogging usually induces rot of seeds and reduced germination rate and seedling survival. Development of tolerant wheat varieties is the most efficient approach to improve seed germination and mitigate the damages caused by waterlogging. In this study, we screened 432 wheat accessions at germination stage by waterlogging treatment, and identified 27 tolerant accessions with a germination rate of over 80% after treatment. To identify quantitative trait loci (QTL) for waterlogging tolerance, two segregation populations were developed by crossing waterlogging-tolerant cultivars Shannong 135 and Huaimai 18 with sensitive cultivars Siyang 936 and CD1840, respectively. Three QTL qWlg5A, qWlg7B and qWlg2D for waterlogging tolerance were detected on chromosomes 5A, 7B and 2D through bulked segregation analysis genotyped by wheat 55K SNP array. Two, one, and two kompetitive allele specific PCR (KASP) assays linked with qWlg5A, qWlg7B and qWlg2D were developed and validated in the two populations, respectively. The identified waterlogging tolerant germplasm lines, the QTL for waterlogging tolerance and the high-throughput KASP markers, were highly valuable in improving waterlogging tolerance in wheat-marker-assisted breeding.