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Action quality assessment refers to evaluate the action quality performed by human in video,such as calculating the quality score,level and evaluating the performance of different people.It is an important direction in video understanding and computer vision research.This paper summarizes the main methods of action quality assessment,including action quality score prediction methods,level classification and ranking methods.The performance of these methods on public datasets is also analyzed.Finally,the challenge problems in future research are discussed.

In the electrolyte containing Nd2O3 particles with different concentrations, the micro - arc oxidation technology was used to prepare the coatings on the surface of 2A12 aluminum alloy. The effects of Nd2O3 particles with different concentrations on the hardness, thickness and adhesion strength between the micro - arc oxidation coating and the substrate were studied, which provided a theoretical basis for the preparation of the coatings with good performance on the surface of 2A12 aluminum alloy by micro - arc oxidation. In addition, scanning electron microscope (SEM), X - ray diffraction (XRD) and X - ray photoelectron spectroscopy (XPS) were used to analyze the cross section morphology and phase composition of the coatings. TT - 230 eddy current thickness tester, HVS - 1000 digital Vickers hardness tester and MFT - 4000 multi - functional material surface performance tester were used to test the coating thickness, hardness, and adhesion strength, respectively. Results showed that the coatings were mainly composed of α - Al2O3, γ - Al2O3 and SiO2 phases. With the increase of Nd2O3 particle concentration, the hardness, thickness, and adhesion strength between the coating and the substrate performed a trend of first increasing and then decreasing. Moreover, when Nd2O3 particle concentration was 0.3 g/L, the micro hardness, thickness, and adhesion strength between the coating and the substrate reached the maximum value of 576.38 HV, 8.17 μm and 16.7 N. In summary, adding Nd2O3 was an effective method to enhance the properties of 2A12 aluminum alloy micro - arc oxidation coating, and the optimal concentration was 0.3 g/L.

Objective: To investigate the efficacy and safety of narrow band intense pulsed light (DPL) combined with long pulse 1 064 nm Nd∶YAG laser for infant port wine stain. Methods: A total of 98 patients with infant port wine stain were randomly divided into two groups. The treatment group (58 cases) was treated with DPL and long pulse 1 064 nm Nd∶YAG laser for 3~5 treatment session at 4-week interval, while 40 patients treated with DPL alone served as controls. Follow-up was performed 1 month after the last treatment. Results: Combination of DPL and long pulse 1 064 nm Nd∶YAG laser displayed a total effective rate of 70.69%, including complete clearance (13 cases, 22.41%), marked improvement (16 cases, 27.58%), and some improvement (12 cases, 20.68%). In contrast, only 37.50% of patients treated with DPL alone showed improvement, including 2 cases of complete clearance (5.00%), 8 cases of marked improvement (20.00%), and 5 cases of some improvement (12.50%). Total effective rates differed significantly between the two groups (χ2=10.65, P

BACKGROUND The main types of primary tin ore occur in skarn, porphyry, cassiterite silicate vein, cassiterite sulfide vein, quartz vein and greisen tin deposits. Tin ores are generally insoluble in hydrochloric acid, nitric acid and aqua regia, and tin ores cannot be dissolved completely when treated with sulfuric acid or hydrofluoric acid. Traditional measurement methods such as phenylfluorone-cetyltrimethyl ammonium bromide spectrophotometry and iodometry have disadvantages, such as the serious interference of the associated elements in the sample, poor stability, high detection limit and low analysis efficiency. OBJECTIVES To establish a method for the determination of tin in primary ore by Inductively Coupled Plasma-Mass Spectrometry. METHODS The sample was melted and decomposed by sodium oxide, and leached by hot water, followed by tartaric acid and hydrochloric acid acidification. 103Rh was used as the internal standard element to correct instrument signal drift, and the matrix effect was overcome by high-dilution factors. RESULTS The detection limit of the method was 0.1μg/g for tin, the precision was less than 5%, the minimum detection concentration was 0.4μg/g, and the measurement range was 12.5-12700μg/g. CONCLUSIONS The method has simple pretreatment and operation. The analysis efficiency and data quality are an improvement over traditional methods.

The maxout units have the problem of not delivering non-max features， resulting in the insufficient of pooling operation over a subspace that is composed of several linear feature mappings,when they are applied in deep convolutional neural networks.The mixed maxout (mixout) units were proposed to deal with this constrain.Firstly,the exponential probability of the feature mappings getting from different linear transformations was computed.Then,the averaging of a subspace of different feature mappings by the exponential probability was computed.Finally,the output was randomly sampled from the max feature and the mean value by the Bernoulli distribution,leading to the better utilizing of model averaging ability of dropout.The simple models and network in network models was built to evaluate the performance of mixout units.The results show that mixout units based models have better performance.

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Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)