Hyperspectral image (HSI) denoising is a fundamental task in a plethora of HSI applications. Global low-rank property is widely adopted to exploit the spectral-spatial information of HSIs, providing satisfactory denoising results. In this paper, instead of adopting the global low-rank property, we propose to adopt a local low rankness for HSI denoising. We develop an HSI denoising method via local low-rank and sparse representation, under an alternative minimization framework. In addition, the weighted nuclear norm is used to enhance the sparsity on singular values. The experiments on widely used hyperspectral datasets demonstrate that the proposed method outperforms several state-of-the-art methods visually and quantitatively. INDEX TERMS Hyperspectral image denoising, local low rankness, sparse representation, weighted nuclear norm.

A new method has been developed to simultaneously determine 7 pyrethroid residues in tea brew using gas chromatography-mass spectrometry (GC-MS) combined with solid phase microextraction (SPME) with multiwalled carbon nanotubes (MWCNTs) coated fiber. The MWCNTs coated fiber of SPME was homemade by using stainless steel wire as coating carrier and polyacrylonitrile (PAN) solution as adhesive glue. Under the optimized conditions, a good linearity was shown for bifenthrin, fenpropathrin, permethrin, and cyfluthrin in 1–50 ng mL−1 and for cypermethrin, fenvalerate, and deltamethrin in 5–50 ng mL−1. The correlation coefficients were in the range of 0.9948–0.9999. The average recoveries of 7 pyrethroids were 94.2%–107.3% and the relative standard deviations (RSDs) were less than 15%. The detection limit of the method ranged from 0.12 to 1.65 ng mL−1. The tea brew samples made from some commercial tea samples were analyzed. Among them, bifenthrin, fenpropathrin, and permethrin were found. The results show that the method is rapid and sensitive and requires low organic reagent consumption, which can be well used for the detection of the pyrethroids in tea brew.

The sensitization characteristics of 310S stainless steel that was aged at 500 to 900 °C for less than 60 min were investigated by using a double-loop electrochemical potentiokinetic reactivation test (DL-EPR), scanning electron microscopy (SEM) and energy dispersive analysis (EDS). The 310S stainless steel was almost unsensitized after the aging treatments at 600 and 900 °C and was seriously sensitized at 700 and 750 °C. With the increase in aging time from 10 to 60 min, the degree of sensitization changed very slightly after aging at 600 and 900 °C and noticeably enlarged after aging at 700 and 800 °C. The precipitation of carbides during the short-term aging process led to Cr depletion at the grain boundary and then sensitized the 310S specimens.

The article describes the results of the analysis of abbreviation derivatives with the meaning of the name of persons carried out taking into account sociolinguistic and historical-cultural factors; a significant number of abbreviations presented in the article can be attributed to neologisms that have not previously been subjected to a scientific description but actively used in modern speech and are reflected in the National Corps of the Russian language or in the texts of modern media and in the Internet forum materials. The features of the functioning of these units, the formation of paradigmatic and syntagmatic connections arising at the level of semantics are shown; the high frequency of the appearance of variability in writing many of the abbreviations is noted; an attempt was made to systematize the units considering the basis of well-known classifications; the conclusion is made about the place of abbreviations in the system of modern Russian language.

Key competencies have become a hot topic in the current education circle. The concept of key competencies requires cultivating people with all-round development, which is the further deepening of quality education. So, what is the connection between the key competencies and education? The educational goal under the key competencies concept should be divided into three layers: first, the concept of knowledge, from knowledge understanding to knowledge transfer to knowledge innovation, second, problem solving, problem solving is the process of knowledge internalization, third, subject thinking layer, Disciplinary thinking is the highest level of cultivating student literacy. Link the three together, grasp the direction of educating people as a whole, and train people in all aspects.