A bulk nanocrystalline (nc) pure copper with high purity and density was synthesized by electrodeposition. An extreme extensibility (elongation exceeds 5000%) without a strain hardening effect observed when the nc specimen rolled at room temperature. Microstructure analysis suggests that superplastic of originates from deformation mechanism dominated grain boundary activities rather than lattice dislocation, which is also supported tensile creep studies This behavior demonstrates new...

The area of plastic-mulched landcover (PML), an important agricultural landscape, is increasing rapidly at a rate 20% per year globally. However, the spatial and temporal distributions PML have been poorly understood because lack effective technology to extract for large geographic areas. This paper presents decision-tree classifier extracting transparent information from Landsat-5 TM images. was built with rules obtained analyzing spectral characteristics on images, covering study in...

Grain growth and strain release processes in the electrodeposited nanocrystalline (nc) Cu specimen with a high purity were investigated by means of differential scanning calorimetry, x-ray diffraction, electrical resistance measurement, high-resolution transmission electron microscopy. It was found that for as-deposited nc Cu, grain started at about 75 °C, which microstrain (111) plane (e111) began to release, while mean (100) (e100) higher temperature (150 °C). With an increment introduced...

Plastic mulching on farmland has been increasing worldwide for decades due to its superior advantages improving crop yields. Monitoring Plastic-Mulched Land-cover (PML) can provide essential information making agricultural management decisions and reducing PML’s eco-environmental impacts. However, mapping PML with remote sensing data is still challenging problematic complicated mixed characteristics. In this study, a new Object-Based Image Analysis (OBIA) approach proposed investigate the...

The rapid expansion of Plastic-Mulched Landcover (PML)，characterized by its relatively small size and short lifespan, necessitates precisely mapping PML using High-Resolution Remote Sensing Imagery (HRRSI). However, the high costs limited temporal resolution acquiring HRRSI pose significant challenges for precise identification. Image Super-Resolution (RSISR) offers a viable solution reconstructing high-resolution images from lower-resolution inputs, enhancing detection...

Plastic-mulched landcover (PML) is the land surface covered by thin plastic films. PML has been expanding rapidly worldwide and formed a significant agriculture landscape in last two decades. Large-scale may impact regional global climate, ecosystem, environment because it changes energy balance water cycles of surfaces, reduces biodiversity, deteriorates soil structure, etc. To study its impact, spatial temporal distributions dynamics have to be obtained. This paper presents threshold model...

Artificial intelligent models (AIMs) have been successfully adopted in hydrological forecasting a plenty of literatures. However, the comprehensive comparison their applicability particular short-term (i.e. hourly) water level prediction under heavy rainfall events was rarely discussed. Therefore, this study, artificial neural networks (ANN), support vector machine (SVM) and adaptive neuro fuzzy inference system (ANFIS) were selected for comparison. A study case Yaojiang watershed, southeast...

We report high strength reliability under tension of a bulk metallic glass (BMG), demonstrated by its uniformity in found over statistically significant number specimens, despite the fact that samples all showed no macroscopic plasticity. Weibull statistical analysis modulus material is 36.5, which much higher than values more typical brittle materials, further confirming BMGs’ [Appl. Mech. Rev. 5, 449 (1952)].

Subpixel mapping (SPM) is a technique that produces hard classification maps at spatial resolution finer than of the input images produced when handling mixed pixels. Existing attraction model (SAM) techniques have been proven to be an effective SPM method. The mostly differ in way which they compute attraction, for example, from surrounding pixels subpixel/pixel (SPSAM), subpixels within modified SPSAM (MSPSAM), or and touching central pixel (MSAM). However, number common defects, such as...

The southeast coastal area of China (SCAC), a typhoon-prone with long coastline, suffers severe damage from typhoons almost every year. Exploring the spatial characteristics historical typhoon-induced vegetation (VD) is crucial to predicting VD after typhoon landfalls and improving strategies for protection restoration. Remote sensing an efficient feasible approach measuring large-scale caused by natural disasters. This paper, exploring distribution landfalling Google Earth Engine (GEE),...

Plastic-mulched landcover (PML) is an important type of agricultural landscape and remote sensing effective way for monitoring mapping PML. Based on Gaofen-2 (GF-2) Landsat-8 operational land imager (OLI) fused data, this study applied object-based random forest classification (OBRFC) method, which combines image analysis (OBIA) technology with (RF) model, to map The method consists the following steps: (1) segmentation a multiresolution (MRS) algorithm; (2) selection sample objects (or...

Super-pixel methods cluster spatially connected similar pixels into perceptually meaningful regions, which are generally used as basic units instead of the original in pre-processing and segmentation high spatial resolution images for object-oriented image classification. Among a number super-pixel methods, simple linear iterative clustering (SLIC) has been widely applied due to its simplicity, efficiency, ability adhere boundaries. SLIC itself, however, was originally designed group...

Mapping plastic-mulched landcover (PML) is an important agricultural monitoring task. Because of its daily revisiting, imagery from moderate-resolution imaging spectroradiometer (MODIS) has been widely used to detect PML over a large area. However, the coarse spatial resolution and small field size make subpixel problem for accurate mapping MODIS. This study applies improved attraction model (ISAM), which estimates central moving window by all subpixels in window, map large-scale MODIS...