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Additional file 1: Fig. S1 Structure diagram of microRNA with binding site to lncRNA00638. A mi R-16-5p. B mi R-17-3p. C mi R-21-3p. D mi R-106b-5p. E mi R-195-5p. F mi R-211-3p. G mi R-424-5p. H mi R-503-5P. I mi R-3607-5p. Fig. S2 LncRNA00638 actively participates in the ceRNA process.

Funder: Cambridge Commonwealth, European and International Trust; Id: http://dx.doi.org/10.13039/501100003343, Funder: China Scholarship Council; Id: http://dx.doi.org/10.13039/501100004543, Brain aging is a complex process that requires a multimodal approach. Neuroimaging can provide insights into brain morphology, functional organization, and vascular dynamics. However, most neuroimaging studies of aging have focused on each imaging modality separately, limiting the understanding of interrelations between processes identified by different modalities and their relevance to cognitive decline in aging. Here, we used a data-driven multimodal approach, linked independent component analysis (ICA), to jointly analyze magnetic resonance imaging (MRI) of grey matter volume, cerebrovascular, and functional network topographies in relation to measures of fluid intelligence. Neuroimaging and cognitive data from the Cambridge Centre for Ageing and Neuroscience study were used, with healthy participants aged 18-88 years (main dataset n = 215 and secondary dataset n = 433). Using linked ICA, functional network activities were characterized in independent components but not captured in the same component as structural and cerebrovascular patterns. Split-sample (n = 108/107) and out-of-sample (n = 433) validation analyses using linked ICA were also performed. Global grey matter volume with regional cerebrovascular changes and the right frontoparietal network activity were correlated with age-related and individual differences in fluid intelligence. This study presents the insights from linked ICA to bring together measurements from multiple imaging modalities, with independent and additive information. We propose that integrating multiple neuroimaging modalities allows better characterization of brain pattern variability and changes associated with healthy aging.

In May 2019, the construction of the land and space planning system was officially launched. The Ministry of Natural Resources of the State Council issued the Notice on Comprehensively Implementing Land and Space Planning, which clearly requires all regions to comprehensively launch the land and space planning and puts forward specific work requirements[1]. Later, in order to guide the preparation and implementation of land and space planning, various technical standards were successively issued. The dual-assessment technical guidelines, land use classification standards, and the compilation guidelines for provincial, city and county planning were gradually submitted for review and trial implementation. In this context, there have been more and more planning theories and practical studies based on the background of land and space planning. For tourist service towns, how to protect the style and features of the towns under the land and space planning system and preserve the local characteristics is a problem that needs to be solved urgently [2].

Rural tourism industry is a new typical tourism industry in China to promote the strategic integration and linkage development of secondary and tertiary industries, and has developed into a new path to promote the strategic integration and development of rural major projects and revitalize industries[1]. At present, China's rural cultural tourism is developing rapidly, but there are also some problems, such as single construction mode, accurate product positioning, lack of cultural connotation, etc., facing the development dilemma of high quality[2]. Under the background of rural revitalization strategy, the overall development of eco-tourism is an important direction of rural tourism development. Meiling town is located in the present Xinjian District of Nanchang City (the former Wanli District). As the central garden of Nanchang City, Meiling town has a good tourism foundation and rich eco-tourism resources, with good prospects of eco-tourism development. Taking Xujia Village in Meiling town as an example, this article analyzes the favorable and unfavorable factors of rural tourism development, and puts forward a new rural tourism development road with rural tourism as the center, ecological civilization construction as the core and rural reconstruction as the guiding concept.

In this paper, the fuzzy active disturbance rejection controller is developed to control a quadrotor with external disturbance and actuator fault, while the state observer is designed to detect the actuator fault, and based on the fault detection information, the control allocation algorithm is proposed to achieve the aim of fault-tolerant control and performance optimization control. Finally, some simulation results are demonstrated to verify the effectiveness of the developed fault-tolerant control scheme.

Background Structural brain changes associated with Alzheimer’s disease (AD) can occur decades before the onset of symptoms. The Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) score has been suggested to be associated with accelerated brain atrophy in middle-aged subjects but the regional specificity of atrophic areas remains to be elucidated. Methods 3T T1-weighted magnetic resonance imaging scans of 160 cognitively healthy middle-aged participants (mean age = 52) in the PREVENT-Dementia cohort, from baseline and from follow-up after 2 years, were examined. Images were preprocessed using Computational Anatomy Toolbox 12. Voxel-based morphometry was performed in FSL 6.0.1 to identify areas of grey matter (GM) volume differences both cross-sectionally and longitudinally between subjects with high and low baseline CAIDE score (CAIDE score was dichotomized at cohort-median). A GM percentage of change map was created for each subject for evaluation of atrophy over 2 years. Analyses were adjusted for age, gender, education and total intracranial volume. Results Compared to subjects with CAIDE score ≤ 6 (low risk), subjects with CAIDE score > 6 (high risk) showed lower GM volume in the temporal, occipital, and fusiform cortex and lingual gyrus at baseline, and greater percentage of GM loss over 2 years in the supramarginal gyrus, angular gyrus, precuneus, lateral occipital cortex, superior parietal lobule and cingulate gyrus (corrected P Conclusion This study demonstrated accelerated GM atrophy concentrated in several AD signature cortical regions in healthy middle-aged subjects with high CAIDE scores.