Application of UAV in Road Safety in Intelligent Areas

With the continuous development of remote sensing(RS) technology, thesurface information can be collected conveniently and quickly by usingthe popular unmanned aerial vehicle(UAV). The application of UAVlow altitude RS technology in road safety in intelligent area has certainpractical significance. It can provide safety warning for most drivers, andprovide auxiliary decision-making for the road supervision department.Through the collection, processing, calculation and analysis of the roadimage, the UAV can find out the road obstacles with potential safety hazards, identify the road pit, calculate the radius and depth of the road pitthrough the digital mapping system, predict the accident risk according todifferent speed and provide scientific basis for the road safety monitoring.At the same time, UAV can provide repair scheme for damaged roads,estimate the quantity of materials needed for repair, and achieve the targetof resource saving and efficiency improvement. The experimental resultsshow that the UAV can not only provide scientific prediction informationfor driving safety, but also provide relatively accurate material consumption for road repair

Automatic extraction of water inundation areas using Sentinel-1 dnata for large plain areas.

Accurately quantifying water inundation dynamics in terms of both spatial distributions and temporal variability is essential for water resources management. Currently, the water map is usually derived from synthetic aperture radar (SAR) data with the support of auxiliary datasets, using thresholding methods and followed by morphological operations to further refine the results. However, auxiliary datasets may lose efficacy on large plain areas, whilst the parameters of morphological operations are hard to be decided in different situations. Here, a heuristic and automatic water extraction (HAWE) method is proposed to extract the water map from Sentinel-1 SAR data. In the HAWE, we integrate tile-based thresholding and the active contour model, in which the former provides a convincing initial water map used as a heuristic input, and the latter refines the initial map by using image gradient information. The proposed approach was tested on the Dongting Lake plain (China) by comparing the extracted water map with the reference data derived from the Sentinel-2 dataset. For the two selected test sites, the overall accuracy of water classification is between 94.90% and 97.21% whilst the Kappa coefficient is within the range of 0.89 and 0.94. For the entire study area, the overall accuracy is between 94.32% and 96.7% and the Kappa coefficient ranges from 0.80 to 0.90. The results show that the proposed method is capable of extracting water inundations with satisfying accuracy

New Therapeutic Approaches for the Treatment of Rheumatoid Arthritis may Rise from the Cholinergic Anti-Inflammatory Pathway and Antinociceptive Pathway

Due to the complex etiology of rheumatoid arthritis (RA), it is difficult to be completely cured at the current stage although many approaches have been applied in clinics, especially the wide application of nonsteroidal anti-inflammatory drugs (NSAIDs) and disease-modifying antirheumatic drugs (DMARDs). New drug discovery and development via the recently discovered cholinergic anti-inflammatory and antinociceptive pathways should be promising. Based on the above, the nicotinic acetylcholine receptor agonists maintain the potential for the treatment of RA. Therefore, new therapeutic approaches may rise from these two newly discovered pathways. More preclinical experiments and clinical trials are required to confirm our viewpoint

Exceptional high Seebeck Coefficient and Gas-Flow-Induced Voltage in Multilayer Graphene

Monolayer graphene shows Seebeck coefficient several times and gas-flow-induced voltage twenty times higher than that of bulk graphite. Here we find that the Seebeck coefficient of multilayer graphene increases monotonically with increasing layer and reaches its peak value at hexa-layer ~77% higher than for monolayer and then decreases, although the electric resistance decreases monotonically with increasing layer. The flow-induced voltage is significantly higher in 2, 4, 5, 6, 7 layered graphene than in 1, 3, 8 layered one, against the prevailing view that it should be proportional to Seebeck coefficient. These thickness effects are also in sharp contrast to that in continuous aluminum nanofilms.Comment: 5 figures,20pages,conferenc

Correction: Caveolin-1-mediated STAT3 activation determines electrotaxis of human lung cancer cells.

[This corrects the article DOI: 10.18632/oncotarget.21306.]