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Noise is annoying. Facial expressions indicate diverse emotions instantly, objectively and accurately. In this paper, the facial emotional expression is used to assess the noise annoyance to nullify the disadvantages of traditional evaluation methods. Firstly, by exploiting listening experiments, the facial videos, physiological signals and individual annoyance from 30 listeners with different nationalities were collected. Then, the facial action units (AUs) were extracted, identified and analyzed, and the AUs combination reflects annoyed emotion induced by the noise was confirmed. Furthermore, a novel evaluation scale embodying color and emotional symbols was proposed, which has been proven to be valid by the social surveys. The present study confirms that it is feasible to evaluate the noise annoyance more objectively by exploring the listener's facial "annoyance" expression. The innovative scale can avoid the understanding bias and improve the evaluation efficiency remarkably.

To address the issue of harsh marine background noise impacting the monitoring signal of fiber-optic hydrophones, we propose a low-noise fiber Bragg grating (FBG) hydroacoustic monitoring system with a reference sensor based on genetic algorithm backpropagation (GA-BP). Through theoretical analysis, we deduce the noise suppression steps of the GA-BP algorithm based on the reference sensor and construct train and test sets based on the data from the reference sensor and monitoring sensor at different times, optimizing the GA-BP algorithm to find the best fitting results and thereby obtaining the low-noise monitoring signal. Experimental results from the anechoic tank show that the proposed method can suppress background noise interference on effective signals and that the suppression effect improves as the background noise increases. The sound pressure sensitivity ranges from −173.76 dB to −171.33 dB at frequencies of 8 kHz to 12 kHz, with a response flatness of less than 2.43 dB. The noise suppression effect is obvious under the condition of poor signal-to-noise ratio (SNR), which can reach more than 18.3 dB. The advantages of the proposed algorithm in array signal processing are further demonstrated by the directivity experiment, which proves that the algorithm has a great potential for engineering applications in harsh marine environment. [ABSTRACT FROM AUTHOR]

To investigate the transdermal mechanisms and compare the differences in transdermal delivery of Sinomenine hydrochloride (SN) between solid lipid nanoparticles (SLN), liposomes (LS), and nanoemulsions (NE). SN-SLN, SN-LS and SN-NE were prepared by ultrasound, ethanol injection and spontaneous emulsification, respectively. FTIR, DSC, in vitro skin penetration, activation energy (Ea) analysis were used to explore the mechanism of drug penetration across the skin. The particle size and encapsulation efficiency were 126.60 nm, 43.23 ± 0.48%(w/w) for SN-SLN, 224.90 nm, 78.31 ± 0.75%(w/w) for SN-LS, and 83.22 nm, 89.01 ± 2.16%(w/w) for SN-LS. FTIR and DSC showed the preparations had various levels of impacts on the stratum corneum's lipid structure which was in the order of SLN > NE > LS. Ea values of SN-SLN, SN-LS, and SN-NE crossing the skin were 2.504, 1.161, and 2.510 kcal/mol, respectively. SLN had a greater degree of alteration on the skin cuticle, which allows SN to permeate skin more effectively. [ABSTRACT FROM AUTHOR]

In order to improve the absolute positioning accuracy for the drill rod of the three-arm rock-drilling jumbo,firstly,based on the finite element simulation,the main parameters that affect the flexible error of the arm are determined by the orthogonal test method, and the flexible error compensation formula is obtained. Then,after the transformation of the force joint coordinate system,the calibration model is set up based on the kinematics position error,and the redundant parameters are eliminated in the model by redundancy analysis. Finally,the laser total station is used as the measuring device,and the LM algorithm is used to solve the calibration parameters to verify the kinematics calibration effect. The results show that the method effectively compensates the absolute positioning error of the drill rod,the absolute positioning error of the drill rod is reduced by 79. 6%.

The ZnWO4/TiO2/MoS2 (ZTM) ternary composite catalyst was prepared based on the excellent performance binary photocatalyst semiconductor ZnWO4/TiO2 composite powder. The application potential of the photocatalyst to decolorization of methylene blue (MB) dyes under sunlight was studied. The composites were characterized by X-ray diffraction technique (XRD), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS). The properties of the composites were tested with BET methods, ultraviolet–visible (UV–Vis) spectrophotometer and photoluminescence (PL) techniques. The experimental results indicate that the ternary catalyst has a nanorod-like morphology, better crystallinity, and large specific surface area. The specific surface area of ZTM-0.5 semiconductor photocatalyst is 2.54 times that of pure ZnWO4 and 1.83 times that of binary semiconductor photocatalyst. Compared with pure ZnWO4, the band gap of ZnWO4 is significantly reduced, and it has excellent photocatalytic properties, and the degradation rate of MB can reach 99%. The composite of MoS2 also inhibits the composite of photogenerated electron–hole pairs, improves the concentration of photocatalytic intermediates, not only improves the photocatalytic activity, but also improves the stability of the photocatalyst. After three cycles of degradation experiments, the degradation efficiency of ZTM-0.5 photocatalyst remains at 65%. The main radical affecting the photocatalysis through the trapping agent benzoquinone test is the superoxide radicals (·O2−). Possible photocatalytic reaction mechanism of ZnWO4/TiO2/MoS2 composite. The ZnWO4/TiO2/MoS2 ternary composite catalyst was prepared based on the excellent performance binary photocatalyst semiconductor ZnWO4/TiO2 composite powder. The phase composition, microstructure, and photocatalytic properties of the molybdenum disulfide composites at different mass percentages were investigated. [ABSTRACT FROM AUTHOR]

The rapid development of welding fabrication demands guidance data to support expert decision-making, retroactive process, and production pattern upgrades. Yet, the data is lacking. This paper developed the guidance corpus for welding manufacturing. The unstructured document guiding actual production was collected, and the data were segmented into words employing a conditional random field model. In addition, we organized an annotation team and developed the tool to accomplish data annotation using a Begin-Inside-Outside method. Machine learning and deep learning models were trained for the named entity recognition task under supervised learning to accomplish the challenge of corpus scalability. The corpus contained 19,410 labeled pairs of samples and involved multiple entity categories, that is, "standard,""technology,""design,""department,""manufacturing," and "quality." The baseline of the model on Precision, Recall, and F 1-score metrics were listed to provide a reference for welding production research. Furthermore, we also gave some examples of task assignments and knowledge retrieval in conjunction with real production problems. The long-term goal was continually to enhance the corpus through more researchers, suggesting that a robust corpus would support more research and engineering applications in the welding domain. [ABSTRACT FROM AUTHOR]

In order to deeply explore the high-temperature cyclic characteristics of the FGH96 superalloy under different strain amplitudes, the high-temperature low-cycle fatigue behavior of the FGH96 superalloy was analyzed from the perspective of internal stress evolution. Four sets of strain amplitude (0.5%, 0.6%, 0.8%, and 1.2%) controlled high-temperature low-cycle fatigue tests were carried out on the FGH96 superalloy at 550 °C, and the internal stress was divided into back stress and effective stress through the cyclic stress-strain curves. The results show that the cyclic softening/hardening characteristics of the FGH96 superalloy under different strain amplitudes are closely related to the evolution of internal stress. The strain amplitude has a significant effect on the back stress of the FGH96 superalloy but has little effect on effective stress. At low strain amplitudes (0.5% and 0.6%), the back stress evolution rate of the FGH96 superalloy is lower than effective stress, and the material mainly exhibits cyclic softening. At high strain amplitudes (0.8% and 1.2%), the back stress evolution rate of the FGH96 superalloy is significantly higher than effective stress, and the material exhibits cyclic hardening. The combined effect of back stress and effective stress is the main reason for the different low-cycle fatigue behaviors of the FGH96 superalloy under different strain amplitudes. [ABSTRACT FROM AUTHOR]