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Pulse detonation cleaning technology is an efficient cleaning technology that is used inert shock waves generated by decoupling the detonation to remove ash and deposits. And it has great advantages in the field of furnace cleaning. In order to investigate the pressure distribution characteristics outside the detonation cleaning device and to explore the effect of the device outlet diameter on the pressure distribution characteristics, numerical simulations and experimental studies of pulse detonation cleaning device with using propane-air as the fuel has been carried out. The numerical simulation and experimental study on pulse detonation cleaning device by using propane-air as the fuel has been carried out. The results show that: as the propagation distance increases, there is a trend for the out-field arc shaped shock wave to transform into plane wave, and the applied pressure tends to be similar from the axis outward, and the time it acts on the ash accumulation surface also tends to be similar. When the external shock wave acts on the ash accumulation surface of the non-convective tube bundle, except for the positive reflection at the axial opposite position, which generates one pressure peak, the other positions mainly generate two pressure peaks due to oblique reflection. The ratio (diameter ratio) between the diameter of the tail outlet and the diameter of the detonation chamber is 1, the pressure peak of inert shock wave in the out-field is the largest. Increasing or decreasing the out diameter of the tail will weaken the action of the inert shock to different degrees. For diameter ratio smaller than 1, the pressure peak of the inert shock increases with increasing diameter ratio, while for diameter ratios larger than 1, decreases with increasing diameter ratio.

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Arrhythmia is one of the most common cardiovascular diseases. The search for new drugs to suppress various types of cardiac arrhythmias has always been the focus of attention. In the past decade, the screening of antiarrhythmic active substances from plants has received extensive attention. These natural compounds have obvious antiarrhythmic effects, and chemical modifications based on natural compounds have greatly increased their pharmacological properties. The chemical modification of botanical antiarrhythmic drugs is closely related to the development of new and promising drugs. Therefore, the structural characteristics and action targets of natural compounds with antiarrhythmic effects are reviewed in this paper, so that pharmacologists can select antiarrhythmic lead compounds from natural compounds based on the disease target - chemical structural characteristics.

In order to reduce the usage of glyphosate, delay the growth of glyphosate-resistant weeds, and expand the weed control spectrum of glyphosate, the effect of temperature, light and simulated rainfall on herbicidal activity, and the absorption and conductivity of glyphosate and X18002[compound name was ethyl 3-(2-chloro-5-(3,5-dimethyl-2,6-dioxo-4-thioxo-1,3,5-triazinan-1-yl)-4-fluorophenyl)-5- methyl-4,5-dihydroisoxazole-5-carboxylate] were studied by indoor bioassays. Mixture proportion screening tests and tank-mix field trials were carried out after investigating the difference between glyphosate and X18002 and the necessity of a mixture. The result showed that the fresh-weight inhibition rate of X18002 (37.50 g a.i/hm² ) and glyphosate (600.0 g a.i/hm² ) against Portulaca oleracea L. and Eleusine indica (L.) Gaertn. under high (30-35 ℃) and medium (20-25 ℃) temperatures were 83.48%-100.0%, significantly higher than those under the low temperature (10-15 ℃). The herbicidal activity was significantly reduced under low temperature. The fresh-weight inhibition rates of X18002 (37.50 g a.i/hm2 ) were 16.03%-95.46% and 2.24%-85.04%, significantly increased with the increase of illuminance within the range of 0-22 000 lx. X18002 was proved to be light-demanding herbicide, while glyphosate was proved to be a light-independent herbicide. X18002 had stable herbicide activity with no significant decrease of fresh-weight inhibition rate between simulated rainfall after 0.5 h of application, which was 100.0% and 81.76%-87.62% to P. oleracea and E. indica, and unsimulated rainfall with a dose of 37.50 g a.i/hm² . Glyphosate had a weak rainfastness with a significant decrease in inhibition rate when simulated rainfall within 0.5-8 h of application compared to unsimulated rainfall with a dose of 600.0 g a.i/hm² . The absorption and conductivity tests showed that both two compounds could be absorbed by the root, stem, and leaf of Abutilon theophrasti Medic.. Compared to X18002, which only had acropetal translocation capability, glyphosate had the ability of acropetal and basipetal translocation. The proportions of mixture which showed the synergistic effect on Erigeron canadensis L., E. indica and Cyperus iria L. were 1 : 10 and 1 : 20. The result of the field trials showed that total control effect of X18002 + glyphosate tank-mix at 45.0 + 450.0 g a.i./hm² dosage on Alternanthera philoxeroides (Mart.) Griseb., E. canadensis, Digitaria sanguinalis (L.) Scop. and C. iria were better than or equivalent to glyphosate at 1200.0 g a.i./hm² treatment. The usage of glyphosate could reduce to 750.0 g a.i./hm² . Meanwhile, X18002 + glyphosate tank-mix at 45.0 + 450.0 g a.i./hm² treatment had a faster action than glyphosate and a longer lasting effective period than X18002. [ABSTRACT FROM AUTHOR]

In recent years, the tourism industry in traditional villages has been developing rapidly due to the national call to vigorously advocate for and promote traditional culture, but there are plenty of problems and challenges facing the protection and development of traditional villages. The GPS action tracking method was adopted in this study to investigate the trajectory of tourists in typical traditional villages of Huizhou and to screen out different spatial sites with different characteristics based on the kernel density analysis. Thereby, people's behavior in different spatial sites were analyzed in depth using the method of behavior observation, and ultimately, the relevance between the spatial environment of traditional villages, the characteristics of tourists' actions, and their staying preferences were discussed, and hence an improvement strategy of spatial optimization was put forward accordingly. The research shows that, in Huizhou traditional villages, different scales and forms of space will affect tourists' tour paths; the unreasonable distribution of commercial formats leads to the uneven distribution of village vitality; and traditional elements and landscape facilities are more likely to cause tourists to demonstrate a variety of behaviors. These findings provide (1) a basis for further understanding the spatial characteristics of traditional villages in Huizhou; (2) a basis for the spatial optimization of traditional villages; and (3) a new research perspective and feasible technical route for the protection, renewal, and sustainable development of traditional villages in other regions. [ABSTRACT FROM AUTHOR]

The dance generated by the traditional music action matching and statistical mapping models is less consistent with the music itself. Moreover, new dance movements cannot be generated. A dance movement generation algorithm based on deep learning is designed to extract themapping between sound and motion features to solve these problems. First, the sound and motion features are extracted from music and dance videos, and then, the model is built. In addition, a generator module, a discriminator module, and a self-encoder module are added to make the dance movement smoother and consistent with the music. The Pix2PixHD model is used to transform the dance pose sequence into a real version of the dance. Finally, the experiment takes the dance video on the network as the training data and trained 5,000 times. About 80% of the dance data are used as the training set and 20% as the test set. The experimental results show that Train, Valid, and Test values based on the Generator+Discriminator+Autoencoder model are 15.36, 17.19, and 19.12, respectively. The similarity between the generated dance sequence and the real dance sequence is 0.063, which shows that the proposed model can generate a dance more in line with the music. Moreover, the generated dance posture is closer to the real dance posture. The discussion has certain reference value for intelligent dance teaching, game field, cross-modal generation, and exploring the relationship between audio-visual information. [ABSTRACT FROM AUTHOR]

In recent years, the development of digital comics industry is in full swing. At the same time with the increasing number of digital comic works, its copyright protection has become imminent. In order to solve the problem of personality action piracy and plagiarism in digital comics, this paper proposes a recognition method of character personality action in digital comics. Firstly, the GrabCut image segmentation algorithm is used to obtain the digital cartoon characters. Secondly, the horizontal rectangle is used to box select the role, so as to obtain the central point coordinates of the role. Finally, using the central point coordinates of the character and the z-axis set according to the proportion of the horizontal rectangle in the image and given a certain weight to establish three-dimensional coordinates, calculate the motion vector, and finally get the motion angle, angle mean value, angle variance and angle standard deviation of the cartoon character. Experimental results show that this method can accurately extract the action features of the moving characters in digital comics, and has a high accuracy. [ABSTRACT FROM AUTHOR]

In order to investigate the herbicidal characteristics of a novel protoporphyrinogen oxidase (PPO) inhibitor Y11049 (compound name was ethyl 2-((6-fluoro-5-(3-methyl-2,6-dioxo-4- trifluoromethyl-3,6-dihydropyrimidin-1(2H)-yl) benzo [d] thiazol-2-yl) thio) propanoate), the effects of environmental temperature, light intensity, simulated rainfall and plant growth stage on its activities against sensitive broadleaf weeds were studied by indoor bioassay method, using saflufenacil as active control; meanwhile, the absorption and conductivity of Y11049 in Cucumis sativus L. and Abutilon theophrasti were tested in greenhouse. The results showed that the herbicidal activity of Y11049 against Amaranthus hybridus was positively correlated with environmental temperature ranging from 15 ℃ to 35 ℃ at application dose of 3.75, 7.5, 15 and 30 g a.i./hm² . At the application dose of 60 g a.i./hm², the inhibition rate against Pharbitis nil was 95.2% under full light (8 427 lx), which was significantly higher than that under medium light (4 200 lx) and low light (5 lx), indicating that Y11049 belongs to light-demanding herbicide. The inhibition rate against A. theophrasti under simulated rainfall after 4 h of the spray of Y11049 showed no significance comparing with blank control, which indicated that Y11049 is tolerant to rain-washing. At the application dose of 30 g a.i./hm², the inhibition rate against 2- to 8-leaf A. theophrasti and Amaranthus retroflexus were 86.0%-98.6% and 86.5%-97.9% under foliage treatment, respectively, which showed that Y11049 has a relative long application period. Simutaneously, Y11049 displayed moderate absorption through roots, stems and leaves, but poor conduction. Y11049 should be applied by spraying evenly on weed surface on sunny days due to its contact herbicidal activity, that it exhibited great prospect against broadleaf weeds in non-arable field. [ABSTRACT FROM AUTHOR]

Action is the key to sports and the core factor of standardization, quantification, and comprehensive evaluation. However, in the actual competition training, the occurrence of sports activities is often fleeting, and it is difficult for human eyes to identify quickly and accurately. There are many existing quantitative analysis methods of sports movements, but because there are many complex factors in the actual scene, the effect is not ideal. How to improve the accuracy of the model is the key to current research, but also the core problem to be solved. To solve this problem, this paper puts forward an intelligent system of sports movement quantitative analysis based on deep learning method. The method in this paper is firstly to construct the fuzzy theory human body feature method, through which the influencing factors in the quantitative analysis of movement can be distinguished, and the effective classification can be carried out to eliminate irrelevantly and simplify the core elements. Through the method of human body characteristics based on fuzzy theory, an intelligent system of deep learning quantitative analysis is established, which optimizes the algorithm and combines many modern technologies including DBN architecture. Finally, the accuracy of the method is improved by sports action detection, figure contour extraction, DBN architecture setting, and normalized sports action recognition and quantification. To verify the effect of this model, this paper established a performance comparison experiment based on the traditional method and this method. The experimental results show that compared with the traditional three methods, the accuracy of the in-depth learning sports movement quantitative analysis method in this paper has greatly improved and its performance is better. [ABSTRACT FROM AUTHOR]

Arrhythmia is one of the most common cardiovascular diseases. The search for new drugs to suppress various types of cardiac arrhythmias has always been the focus of attention. In the past decade, the screening of antiarrhythmic active substances from plants has received extensive attention. These natural compounds have obvious antiarrhythmic effects, and chemical modifications based on natural compounds have greatly increased their pharmacological properties. The chemical modification of botanical antiarrhythmic drugs is closely related to the development of new and promising drugs. Therefore, the structural characteristics and action targets of natural compounds with antiarrhythmic effects are reviewed in this paper, so that pharmacologists can select antiarrhythmic lead compounds from natural compounds based on the disease target - chemical structural characteristics. [Display omitted] • The pharmacological targets of drugs against arrhythmia involve multiple aspects. • Natural products may be a potential anti-arrhythmic drug. • Summarizing the characteristics of antiarrhythmic natural products for further development. [ABSTRACT FROM AUTHOR]

To solve the problem of lacking of output, difficult matching action characteristics with vacuum circuit breaker interrupting performance of permanent magnetic actuator, single coil permanent magnetic actuator was studied in. The magnetic flux distribution was analyzed based on divided permanent magnetic mechanism section and 3D electromagnetic field mathematics model was established. Using the finite element simulation method, dynamic relationship between coil transient current and the core switching operation characteristics was solved. The permanent magnetic actuator structure stored to capacitance, the voltage of the power supplied, the number of turns of the coil and load equivalent quality and other main parameters influence operating characteristic was explored. Research results indicate that the simulation data and the experimental data reach agreement. Optimized capacitor, coil and load parameters of permanent magnetic operating mechanism provide a theoretical basis for the displacement detection, system fault diagnosis and structural improvement. [ABSTRACT FROM AUTHOR]

The dance generated by the traditional music action matching and statistical mapping models is less consistent with the music itself. Moreover, new dance movements cannot be generated. A dance movement generation algorithm based on deep learning is designed to extract the mapping between sound and motion features to solve these problems. First, the sound and motion features are extracted from music and dance videos, and then, the model is built. In addition, a generator module, a discriminator module, and a self-encoder module are added to make the dance movement smoother and consistent with the music. The Pix2PixHD model is used to transform the dance pose sequence into a real version of the dance. Finally, the experiment takes the dance video on the network as the training data and trained 5,000 times. About 80% of the dance data are used as the training set and 20% as the test set. The experimental results show that Train, Valid, and Test values based on the Generator+Discriminator+Autoencoder model are 15.36, 17.19, and 19.12, respectively. The similarity between the generated dance sequence and the real dance sequence is 0.063, which shows that the proposed model can generate a dance more in line with the music. Moreover, the generated dance posture is closer to the real dance posture. The discussion has certain reference value for intelligent dance teaching, game field, cross-modal generation, and exploring the relationship between audio-visual information., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Liu and Ko.)