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China’s SREB is a geo-strategic program that has been initiated based on Beijing’s judgment on its international and domestic environment. Building the SREB program servers the China grand strategy and satisfies the national demands. The Chinese government declared the ‘community with a shared future for Mankind’ is a national grand strategy and the guiding slogan of its foreign policy. This article interprets China’s governmental discourse on the guiding slogan and Chinese academic efforts to justify the grand strategy. From the Chinese perspective, the construction of the SREB needs to adopt omnidirectional diplomacy, which includes dealing with its relations with great powers, with neighboring nations, and building regional regimes and mechanisms. China’s grand strategy and three approaches sound ideal to some extent, but they demonstrate Chinese real concerns and ideas. In the long-term future, Russia will become more and more significant for China’s SREB program and the grand strategy as a whole.

The article is devoted to the analysis of the research done on Solzhenitsyn’s literary works in China from 1979 to 2021 on the basis of data from the China National Knowledge Infrastructure (CNKI). The article highlights three stages in the process of publishing and perceiving the writer’s works, studies the opinions of various researchers about the artistic value of the writer’s work, and analyzes the specific features of the development of research about his works. Chinese researchers consider the literary heritage of the writer to be a complex phenomenon that consists of his artistic works and political beliefs. As a result of the analysis, it can be seen that Solzhenitsyn attracts more attention from readers and researchers. Their interest in the literary works of the writer has not disappeared for 42 years. Writer Solzhenitsyn is a more attractive figure in Chinese research works.

Background:: The utilization of genetic data to investigate biological problems has recently become a vital approach. However, it is undeniable that the heterogeneity of original samples at the biological level is usually ignored when utilizing genetic data. Different cell-constitutions of a sample could differentiate the expression profile, and set considerable biases for downstream research. Matrix factorization (MF) which originated as a set of mathematical methods, has contributed massively to deconvoluting genetic profiles in silico, especially at the expression level. Objective: With the development of artificial intelligence algorithms and machine learning, the number of computational methods for solving heterogeneous problems is also rapidly abundant. However, a structural view from the angle of using MF to deconvolute genetic data is quite limited. This study was conducted to review the usages of MF methods on heterogeneous problems of genetic data on expression level. Methods: MF methods involved in deconvolution were reviewed according to their individual strengths. The demonstration is presented separately into three sections: application scenarios, method categories and summarization for tools. Specifically, application scenarios defined deconvoluting problem with applying scenarios. Method categories summarized MF algorithms contributed to different scenarios. Summarization for tools listed functions and developed web-servers over the latest decade. Additionally, challenges and opportunities of relative fields are discussed. Results and Conclusion: Based on the investigation, this study aims to present a relatively global picture to assist researchers to achieve a quicker access of deconvoluting genetic data in silico, further to help researchers in selecting suitable MF methods based on the different scenarios.

On the working face below shallow and close coal seams, there are residual pillars. The mine’s ability to operate safely is constrained by the coal pillars’ vulnerability to sudden instability and powerful ground pressure disasters during withdrawal. This paper uses the 31,106 working face of the Huoluowan coal mine as its research backdrop and employs field observation, theoretical analysis, and numerical simulation to examine the strong dynamic load mechanism of the overlying coal pillars. According to the analysis, the residual pillar’s stress diffusion angle is 29 degrees after mining the working face above it, which has an impact on the main roof’s stability above the working face’s retracement roadway. The main roof is impacted by the excavation disturbance and the remaining pillars during the working face’s final mining phase, displaying a complex stress superposition state. The retracement roadway is significantly deformed as a result of the plastic zone of the surrounding rock changing from small-scale damage to extensive damage. The proposed “hydraulic roof cutting + reinforcement support” prevention technology is based on the prevention idea of weakening important rock strata, changing the stress transmission path, and strengthening adjacent rock. Field testing shows how hydraulic fracturing reinforces the roof structure, lessens the heavy dynamic load on the supporting pillars of overlying residual coal, reduces rock deformation in the retracement roadway, and ensures the stability of the working face during withdrawal. The study’s findings are significant for the secure removal of a working face under similar circumstances.

In this paper, we propose a novel girth measurement system based on multi-view stereo images for garment design. Our system is set in a fixed location to capture three pairs of stereo images for the subject by six calibrated and synchronously triggered cameras. An important feature of this system is the use of an optimized semantic segmentation network that can efficiently segment the girth region in the captured six-view stereo images. Another important feature of this system is the use of color subspace classification and coordinate clustering that can effectively constrain the stereo matching within the scope of markers. Then, the system performs only on the corresponding clusters to extract stereo matching point pairs of markers correctly. The space coordinates of 3D point corresponding to each stereo matching point pair are calculated in each coordinate system of stereo cameras. The unified coordinates of these 3D markers are transformed from three different coordinate systems into one unified coordinate system. Girth is measured by curve fitting of these markers and calculating the length of the fitting curve. Our proposed system performs passive and intelligent girth measurement in garment design, and overcomes the problem of too many invalid stereo matching point pairs in girth measurement. Experimental results demonstrate its accuracy. Our system has a maximum bust measurement error of 1.28cm for woman and 1.31cm for man and a maximum waist measurement error of 1.18cm for woman and 0.99cm for man, which are within the error limit regulated by China national standards GB/T 2664-2017, 2665-2017, 2666-2017 and textile industry standard FZ/T 81004-2012.

Centered on parallel factor analysis(PARAFAC) and support vector machine(SVM), a method of centrifugal pump(CP) fault diagnosis is proposed. A non-stationary multi-fault mode single-source signal feature extraction method is proposed, based on the theory of parallel factor analysis, i.e. spatial information is introduced in time-frequency analysis, and after parallel factor analysis, the spatial signal, the spectral signal (mode2) and the time-domain signal (mode3) are generated. The latter two can obviously describe the natural or fault state of the mechanical equipment by comparing the experimental analysis, and this function is used to evaluate the mapping relationship between the centrifugal pumps in different states and their respective mode2 and mode3. A total of six components in mode2 and mode3 are used as feature vectors, which are input to the SVM classifier, optimized by the improved particle swarm algorithm for fault classification, by constructing an experimental platform to collect the nonlinear multi-fault mode feature signals of centrifugal pumps. Compared with the wavelet packet energy features, the proposed method is more convenient for feature extraction, the classification accuracy of the proposed classifier is significantly improved, and the complexity of the proposed classifier is not significantly increased.

In this paper, we propose a novel stereovision-based system for vehicle speed measurement. Our system is set in a fixed location to capture two view stereo videos for passing vehicles by using a calibrated binocular stereovision system. An important feature of this system is the use of an optimized single shot multibox detector network that can efficiently detect license plates in the captured two view stereo videos. Then, the system performs only on the detected license plate area to extract stereo matching point pairs rapidly. The world coordinates of 3D points corresponding to each stereo matching point pair are calculated. Abnormal 3D points are removed in accordance with distance distribution. The remaining 3D point closest to the license plate center is finally selected as the exact vehicle location of the current frame. Vehicle speed is measured by dividing the distance between two selected 3D points by frame intervals. Vehicle trajectory is depicted by connecting multiple selected 3D points. Our proposed system performs non-intrusive and stealth measurement in intelligent traffic surveillance and overcomes the challenges of speed measurement for multiple vehicles on multiple lanes in different motions simultaneously. Experimental results demonstrate its accuracy. Our system has a speed measurement error range of [-1.6, +1.1] km/h and a maximum error rate of 3.80%, which are within the [-3, +2] km/h error limit of several countries' regulatory authorities and the 6% error rate limit of China national standard GB/T 21255-2007.

In order to detect the early fatigue crack of mechanical components simply, this paper puts forward the ultrasonic testing technology of different side collinear mixing. Firstly, based on the nonlinear ultrasonic theory, the method of calculating the difference frequency and sum frequency nonlinear coefficients of mixing ultrasonic is deduced. Then, the ram-5000 SINAP ultrasonic system is used to detect the aluminum alloy specimens with five different depth fatigue cracks, and the corresponding spectrum diagram is drawn. From the experimental results, we get that the crack depth is positively correlated with the nonlinear coefficients of difference frequency and sum frequency within a certain crack depth. Finally, by analyzing and fitting the experimental data, the prediction models of the difference frequency and sum frequency nonlinear coefficients on the crack depth are established. Through the analysis and combination of the above two prediction models, the prediction model of the mixing relative nonlinear coefficient is established, and the average error of the three prediction models is compared. The results show that the mixing relative nonlinear model has better results. The research work in this paper makes a useful exploration for crack detection and crack depth prediction.

Purpose – This paper aims to clarify the effect of metal ions added in the γ-glycidoxypropyltrimethoxysilane (γ-GPS) solutions on the anti-corrosion properties of the γ-GPS coatings on cold-rolled iron (CRI). Design/methodology/approach – The transformations of functional groups involved in reactions during the coating process were characterized by Fourier transformed infrared spectroscopy (FTIR), and the thickness of the γ-GPS coatings on the CRI substrates was measured using high-powered microscopy. The anti-corrosion properties of γ-GPS-treated samples were evaluated by neutral salt spray tests, polarization curves and electrochemical impedance spectroscopy measurements. Findings – The results show that Zn2+ and Mg2+ in the γ-GPS solutions promote the formation of Si-O-Si and Si-O-Fe bonds and improve the anti-corrosion properties of the γ-GPS coatings on CRI. However, Al3+ and Na+ in the γ-GPS solutions do not play this role. Originality/value – Although there have been previous research studies on the γ-GPS coatings on CRI, this paper is the first to study the effect of metal ions added in the silane solutions on the anti-corrosion properties of the γ-GPS coatings, and it has been confirmed that the anti-corrosion properties changed when Zn2+ (or Mg2+) is present.

We designed a compact diode-end-close-pumped passively Q-switched composite Nd:YAG/Cr4+:YAG laser. By a single F-mount packaged fast-collimated laser diode without any optical pump coupling components, we achieved a 1.7 ns pulse width output with an 11.4 kHz pulse repetition rate at a 2 W continuous wave pump power in the resonator formed by the coated end surfaces of the crystal, and this agrees with numerical simulations. The corresponding pulse energy and average output power is 21 μJ and 240 mW at 1,064 nm, and the beam is near-diffraction-limited with M2∼1.5. To the best of our knowledge, these are the highest pulse energy and average power in directly close-pumped passive lasers. The laser overall size without the forced air cooling system is smaller than a one-pound coin, and such miniaturization will lead to more widespread applications.

We present an efficient high-power quasicontinuous-wave (QCW) all-solid-state laser at 532 nm with a simple and compact symmetrical resonator. We design a stable green laser at 532 nm with an average power of 123 W and a repetition rate of 10 kHz by combining a single side-pumped Nd:YAG laser module with a type II LBO crystal for intracavity frequency doubling. The corresponding electrical-to-green conversion efficiency is 12.5%. To the best of our knowledge, this is the highest electrical-to-green efficiency in 532 nm lasers with above 100 W output power ever reported. The pulse width is 62 ns at 123 W, so the peak power is calculated up to 198.4 kW. Such a compact and efficient resonator is promising for integration into laser-application systems.

The demonstration is reported of a diode-pumped passively Q-switched Nd:LuVO4 laser at 1064 nm using a transmission-type graphene oxide as the saturable absorber. The graphene oxide saturable absorber with a modulation depth of 10% was fabricated using a vertical evaporation method. With a pump of 11.5 W, a maximum output power of 1.353 W was obtained with 186-ns pulse duration and 336.7-kHz repetition rate, corresponding to a maximum pulse energy of 4 μJ per pulse.

The laser with high repetition rate, high peak power and narrow line width has important application value in the field of laser radar. In the amplification of high repetition frequency and narrow line width laser, in order to achieve both high magnification and high beam quality laser output at high repetition rate, narrow line width of passively Q-switched laser used to be the seed source, high gain amplifier using 888 nm diode laser end pumped Nd:YVO4 crystal, side pumped Nd:YVO4 slab crystal thermal lens effect of two stage amplification scheme were designed. At the repetition rate of 10 kHz, the average power of 31.5 W, and the laser beam quality of M2 1.98 were obtained. The peak power was 5 MW, the line width was 154 pm and the pulse width was 0.6 ns. Thus, the design idea of amplifier with high magnification ratio and high beam quality control individually was verified.

We report an efficient single-frequency ring laser pumped directly into emitting level by a fiber-coupled laser diode (FCLD) at 885 nm for the first time. 4.8 W laser at 1064 nm was obtained in a 0.7 at % Nd:YAG with 63% slope efficiency and 51.7% light-light efficiency in absorbed pump power. At the same time, the line width of the longitudinal mode was about 50 MHz, and the beam was nearly diffraction-limited with M2 ≈ 1.07.

Studies of the ultraviolet spectra and ab initio calculations have been carried out for vitamin E, p -benzoquinone and their complex in the present work. Steady-state absorption spectra have been experimentally measured with a Shimadzu UV-2100S spectrometer at room temperature. Measured values of maximum absorptions of vitamin E and p -benzoquinone in methanol are in excellent agreement with those reported in reference. In theoretical calculations, face-to-face conformations of the electron donor–acceptor (EDA) complex have been selected. The geometries of EDA complexes have been determined by searching for the energy minimum through the variation of the center to center distance between the isolated optimized geometries of the donor and the acceptor. The electronically excited states have been investigated by means of complete active space self-consistent field method associated with 6-31G* basis sets. The state optimizations of S 0 and S 1 for EDA complex reveal that the photoexcitation can directly yield an excited charge transfer (CT) state, and the CT absorption arises from the electron transition between two π-type molecular obitals. Based on the approximations of spherical cavity and point dipole, CT absorption in methanol has been investigated by considering the solvent reorganization energy correction.

A new method for flow injection analysis of norepinephrine bitartrate has been developed. It is based on ion association with anionic surfactant and piezoelectric detection. Sodium dodecyl phenylsulfate was used as the ion association reagent. The calibration curve was linear between 0.01 and 1.20 mg/ml. with a detection limit of 5 μg/ml, a relative standard deviation of 0.18% (10 replicates) and a sampling frequency of 120/h. The proposed method has been satisfactorily applied to the determination of norepinephrine bitartrate in pharmaceutical preparations.

We demonstrated a passively Q-switched Nd:YAG laser operating at 1.319 μm using a transmission-type single-wall carbon nanotube (SWCNT) as the saturable absorber. This is the first report on using SWCNT as a Q-switcher for 1.319 μm Nd:YAG laser in a side-pumped configuration. A maximum output power of 780 mW was obtained with 1.15-μs pulse duration and 42.7-kHz repetition rate.

A rapid and simple method for the determination of lignocaine hydrochloride by ion-pairing flow injection analysis was developed. It is based on the formation of an ion pair between lignocaine hydrochloride and sodium dodecyl phenylsulfonate and piezoelectric detection. The calibration curve was linear between 0.01 and 2.00 mg ml - 1 , with a detection limit of 8 µg ml - 1 , an RSD of 0.29% (10 replicates) and a sampling frequency of 120 h - 1 . The proposed method was satisfactorily applied to the determination of lignocaine hydrochloride in pharmaceutical preparations.