Lohmann Yu (dashbumper7)

The value of ecosystem services is affected by increasing human activities. However, the anthropogenic driving mechanisms of ecosystem services are poorly understood. Here, we established a deep learning model to approximate the ecosystem service value (ESV) of Nanjing City using 23 socioeconomic factors. A multi-view analysis was then conducted on feasible impact mechanisms using model disassembly. The results indicated that certain factors had their own significant and independent effects on ESV, such as the proportion of water areas in the land-use structure and the output value of the secondary industry. The proportion of ecological water should be increased as much as possible, whereas the output value of the secondary industry should be reasonably controlled in Nanjing. Other intrinsically related factors were likely to be composited together to affect ESV, such as industrial water consumption and industrial electricity consumption. In Nanjing, simultaneously optimizing socio-economic factors related to city size, resources, and energy use efficiency likely represents an effective management strategy for maintaining and enhancing regional ecological service capabilities. The results of this work suggest that deep learning is an effective method of deepening studies on the prediction of ESV trends and human-driven mechanisms.Atherosclerosis is a systemic process. As the population ages, increasingly more patients who undergo coronary revascularization are complicated with peripheral artery disease (PAD). However, the large body of evidence in this area has not been limited to analysis from trial-based data from younger and relatively uncomplicated patients in Western countries. The impact of PAD on the outcomes can differ by patient characteristics, and integrated analysis of large-scale data is necessary. J-PCI is a universal (all-comer) nationwide registration system in Japan, regulated and audited by professional society that controls national board-certification system. For the present study, we extracted data of 894,014 percutaneous coronary intervention (PCI) cases performed between 2014 and 2017 (mean age 70.2 years [standard deviation 11.0]). In-hospital outcomes of PAD and Non-PAD patients were compared. PAD was defined as a previous history of stenosis of peripheral arteries or abdominal aortic aneurysm. Primary outcome was in-hospital mortality, and multivariable modeling was performed. A total of 66,891 patients (8.1%) had PAD. Crude in-hospital mortality rate was higher in this group (0.99% vs. 0.67% in Non-PAD group). PAD was associated with an increased risk of in-hospital mortality (odds ratio [OR] 1.383 [95% confidence interval 1.251-1.528]). However, the impact of PAD differed by kidney condition (OR 1.578 [1.370-1.821] for patients with chronic kidney disease [CKD] and OR 1.234 [1.076-1.416] without CKD P for interaction 0.005), and by clinical presentation PAD was not associated with an increased risk of in-hospital mortality in patients undergoing PCI for silent ischemia (OR 1.211 [0.8701-1.685] P for interaction 0.002). Presence of PAD was independently associated with in-hospital mortality in patients receiving PCI. However, its impact varied substantially by the patient background or indication of the procedure.Plant roots are inhabited by an enormous variety of microorganisms, including fungi, which can control the growth as well as regulate the health of the host plants. The mycobiome composition of the roots of wheat plants, especially spelt, under drought stress has been rarely investigated. Therefore, the aim of the present study was to examine the composition of fungal communities in the root endosphere and rhizosphere of three Triticum aestivum ssp. spelta L. cultivars and one Triticum aestivum ssp. vulgare L. cultivar, grown under drought and controlled conditions in different soil preparations. Culture-dependent fungal community profiling was performed to examine the impact of rhizocompa