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Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic 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.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department 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.)

Objective: To observe the effects of key muscle movement points acupuncture on neuroelectrophysiological indexes, lower limb motor function and daily living ability in patients with spinal cord injury(SCI). Methods: 98 SCI patients who were admitted to our hospital from December 2022 to June 2023 were divided into control group(conventional rehabilitation training and traditional acupuncture treatment, n=49) and study group (conventional rehabilitation training and key muscle movement point acupuncture treatment, n=49) according to the random number table method. The nerve electrophysiological indexes [root mean square (RMS) and median frequency (MF) of rectus femoris and anterior tibial muscle], lower limb motor function [lower limb motor score (LEMS), modified Ashworth scale(MAS)] and activity of daily living[activity of daily living score(MBI)] were compared between two groups. Results: Compared with control group 2 courses after treatment, the MAS score in study group was lower, and the rectus femoris RMS, rectus femoris MF, tibialis anterior RMS, tibialis anterior MF, LEMS score and MBI score were higher(P<0.05). Conclusion: Key muscle movement points acupuncture for SCI patients, which can improve neuroelectrophysiological indexes, promote the recovery of lower limb motor function, improve the daily living ability of patients. [ABSTRACT FROM AUTHOR]

Objectives: Hydrological loading has an important influence on crustal movement observation network of China (CMONOC) coordinate time series, and rainfall directly affects the magnitude of hydrological loading. Methods: We use CMONOC coordinate time series under the international terrestrial reference frame 2014 (ITRF2014), MERRA2 (modern-era retrospective analysis for research and applications, version 2) model and the rainfall data in China to analyze the relationship among them. Results: The results show that the impact of hydrological loading on the CMONOC stations is mainly reflected in the vertical direction. Especially in the Pearl River Basin and the south, southwest and southeast of the Yangtze River Basin, the hydrological loading has a significant influence on the displacement of the stations. The maximum root mean square value of the hydrological loading series can reach 5.47 mm. Both hydrological loading and rainfall show relatively obvious latitude correlation. The higher the latitude, the smaller of the magnitude of hydrological loading and rainfall, and the goodness of fit with R² can reach 0.63 and 0.55, respectively. At the same time, the rainfall and hydrological loading also show an obvious linear relationship, with R² reaching 0.49. If the average annual rainfall increases, the magnitude of hydrological loading also increases. For periodic signals, the rainfall, hydrological loading and CMONOC coordinate time series are consistent. The annual amplitude of hydrological loading and CMONOC coordinate time series with the annual average rainfall all show a relatively obvious linear relationship, and R² reach 0.64 and 0.37, respectively. Conclusions: In the study of the influence of hydrological loading on global navigation satellite system coordinate time series, in addition to soil moisture, snow cover and canopy water, rainfall is also a part of the reasons that need to be discussed. [ABSTRACT FROM AUTHOR]

This study explores text conversion to motion using large language models like the generative pre-trained transformer (GPT) series and other artificial intelligence (AI) technologies like Large Language Model Meta AI (LLaMA) and the T5 model. It analyzes the structure and functions of these models in detail, comparing their effectiveness in generating motion videos. Various techniques like root mean square normalization (RMSNorm) and absolute encoding were employed to identify the best method for text-to-motion conversion. The findings indicate that the T5 model generates actions based on textual descriptions, especially in presenting critical motions and avoiding unnecessary movements, offering valuable insights for future advancements in motion generation technology. [ABSTRACT FROM AUTHOR]

Copyright of Petroleum Geology & Oilfield Development in Daqing is the property of Editorial Department of Petroleum Geology & Oilfield Development in Daqing 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.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. 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.)

Copyright of Electroplating & Finishing is the property of Electroplating & Finishing Editorial Office 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.)

To evaluate the ride comfort of vehicle, the 8-degree-of-freedom dynamic model of the double-motor-driven electric vehicle with front and rear axles was established based on MATLAB/Simulink software with considering the vertical degrees of freedom of four wheels, the vertical movement of driver and seat and the vertical movement of body, the pitching movement, the roll movement. With the excitation input of white noise of grade C pavement, the acceleration speeds of center of mass, roll, pitch and seat of the body were simulated and analyzed respectively. Particle swarm optimization (PSO) was used to optimize the system parameters, and the optimized front and rear suspension stiffness and damping coefficient were obtained. The simulation validation of the optimized model shows that the ride comfort of the electric vehicle driven by front and rear axle dual motors is improved, and the root mean square value of the weighted acceleration at the optimized seat is significantly reduced. The theoretical optimum value is only 43.8% of that before the optimization, which is within the comfort limit. The mean square root values of the weighted acceleration at the foot and back are also reduced to some extent, and the theoretical optimum values are 42.1% and 44.0% of those before optimization, respectively. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of 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.)

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher 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.)

Copyright of Lubrication Engineering (0254-0150) is the property of Editorial Office of LUBRICATION ENGINEERING 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.)

Real-time condition monitoring and health management of aero-engines can effectively reduce the risk of engine failure and ensure the safety of aircraft flight. Accurate prediction of the remaining life of an aero-engine is an important tool for effective monitoring of the engine operating condition, in which long-short term memory（LSTM）networks are often employed. However, because of the complex mechanical structure and operation mode of aeroengine, the accuracy of the prediction results obtained after a single prediction of the remaining life of the aero-engine using the traditional LSTM network is not sufficient to meet the accuracy requirements of its life prediction. Based on the widespread use of LSTM networks and their ability to effectively predict time series data, and considering that a multi-level prediction approach can effectively reduce the prediction error, this paper proposes a novel Automatically expandable LSTM（AELSTM） prediction model. The AELSTM model relies on the network structure of multiple submodules connected level by level, and continuously extracts the output error of the previous level module as the training value of the next level module, forming a multi-level prediction mechanism of the error, which effectively reduces the prediction error of the model and improves the accuracy of the prediction results. Finally, the predictive effectiveness of the AELSTM model was tested based on four subsets of the C-MAPSS dataset published by NASA. The experimental results indicate that the root-mean-square error of the AELSTM model decreases by 95.44% on average over the four subsets compared with the traditional LSTM network, and it also outperforms some existing state-of-the-art algorithms in prediction. The experiments fully verify the effectiveness and advantages of the AELSTM model in improving the accuracy of remaining life prediction of aero-engines. [ABSTRACT FROM AUTHOR]

Copyright of Food & Machinery is the property of Food & Machinery Editorial Office 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.)

Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic 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.)

Copyright of China Sciencepaper is the property of China Sciencepaper 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.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department 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.)

Copyright of Journal of Chinese Institute of Food Science & Technology is the property of Journal of Chinese Institute of Food Science & Technology Periodical Office 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.)

Objectives: In October 2019, the International GNSS Service(IGS) began the third data reprocessing campaign(repro3). To enable more robust ambiguity resolution(AR) in precise point positioning (PPP), one of IGS important tasks is to combine satellite clock and code/phase bias products. Methods: We elaborated the precise satellite clock product model, code/phase bias product model, as well as prior corrections and specific processes for the combination of global navigation satellite system(GNSS) satellite clock and code/phase bias products. What􀆳s more, entrusted by the IGS Analysis Center Coordinator, we combined the clock/bias products of repro3 from 2000 to 2020 successfully. Results: Through the statistics of the combination, it is concluded that the integrity rate of combined clock can reach more than 95% after stabilization, which is superior to most of the products of IGS Analysis Centers. The average root mean square error of GPS and Galileo satellite navigation system satellite clock reach 6.13 ps and 5.63 ps respectively, which prove that the correction models in the combination can significantly improve the consistency. The average weight of Graz University of Technology participating in the combination reaches 21.83%, which has better precision than that of other analysis centers. The weight of phase/integer clock is higher than that of legacy clock, with better stability and precision. Furthermore, 103 stations with uniform global distribution were selected for the static PPP-AR solution to validate the positioning precision of the combined products. The results showed that the average fixed rates of GPS wide and narrow-lane ambiguity based on combined products are 90.16% and 86.72% respectively, and those of Galileo are 97.11% and 93.77% respectively, which are about 1-5 percentage points higher than those based on Center for Orbit Determination in Europe (COD) repro3 products. The average positioning precision based on combined products in the east, north and high directions is 0.154, 0.178 and 0.542 centimeters respectively, which is 20% to 30% higher than COD. Conclusions: The multi-GNSS satellite clock and code/phase combination method can effectively solve the problems of the consistency among products of analysis centers,and enable more robust ambiguity resolution in PPP-AR. Moreover, the combined products have been officially downloaded (IGSMAIL-8248:https://cddis.nasa.gov/archive/gnss/products/repro3/). [ABSTRACT FROM AUTHOR]

Objectives: Recognizing that the global navigation satellite system (GNSS) signals are seriously occluded in urban environments,it is a great challenge to achieve continuous and reliable positioning services via smartphones. Methods: An improved smartphone GNSS/micro-electro-mechanical system inertial measurement unit (MEMS IMU) tightly-coupled integration method for vehicular navigation is proposed. Specifically, the smartphone navigation system firstly conduct time updates with inertial navigation system mechanization algorithm. Then the measurement updates are realized by GNSS pseudorange, Doppler and headingangle derived by time differenced carrier phase, besides virtual constraints of vehicle motion. Re⁃ sults: Vehicular navigation experiments using three different smartphones were carried out to evaluate the performance of the proposed algorithm. The results show that continues and reliable positioning solutions are achieved in urbanchallenging environments with horizontal and vertical accuracy of 5-6 m and 5 m in terms of root mean square, and short-term continuous navigation is also available even in tunnel scenarios where GNSS signals are totally blocked. Conclusions: The proposed algorithm is less affected by the GNSS observation environment, and can improve the continuity and reliability of smartphone vehicular positioning greatly in urban complex environments. [ABSTRACT FROM AUTHOR]

Objectives: Global navigation satellite system (GNSS) satellite chip shape distortions lead to individual biases in the pseudorange measurements. These biases are the results of the correlator's tracking response and thus depend on the correlator and front-end design of the receiver. As a result, different receivers are likely to exhibit inconsistent biases, called receiver-related pseudorange biases. The researches show that the receiver-related pseudorange biases cannot be absorbed by clock offset, which will affect GNSS precision applications. Methods: We estimate the receiver-related pseudorange biases of global positioning system (GPS)/BeiDou satellite navigation system (BDS) /Galileo satellite navigation system (Galileo) from 9 short/zero-baselines stations from the multi-GNSS experiment network using double difference method. The baselines are divided into three groups according to the combinations of two receivers of one baseline. Results: The results indicate that the receiver-related pseudorange biases of receivers with different manufacturers even the same manufacturers with different models cannot be neglected. For base‐lines with receivers from different manufacturers,the inconsistences of pseudorange biases can reach up to 160 cm. Conclusions: Among GPS, Galileo and BDS, Galileo shows the smallest pseudorange biases, while BDS in general is the largest. Furthermore, the stability of pseudorange biases is analyzed, the results suggest that estimated receiver-related pseudorange biases are quite stable with the standard deviation less than 12 cm for the three systems. We investigate the effect of receiver-related pseudorange biases on integer ambiguity resolution and pseudorange relative positioning, with the pseudorange biases correction, the root mean squares of fractional parts of double difference Melbourne ‐Wübbena combination are decreased by 17%, 22%, and 14% for GPS, BDS, Galileo, respectively. An improvement of pseudorange relative positioning accuracy is also confirmed, the 3D positioning errors of GPS, BDS, Galileo are reduced from 84.4, 77.3 and 60.0 to 80.1, 72.1 and 57.0 cm, respectively. [ABSTRACT FROM AUTHOR]

【Objective】It is complex, time-consuming and laborious for conventional chemical detection method to detect the content of total nitrogen, potassium, total sugars, reducing sugars, total alkali, chlorine and magnesium in wrapper tobacco, while near-infrared spectroscopy technology is simple to operate and rapid to detect. The aims is to establish a near infrared spectroscopy detection model to achieve rapid quantitative analysis of the content of the seven chemical components in wrapper tobacco.【Method】Taking Yunnan cigar wrapper tobacco as the material, conventional chemical method was used to detect the content of seven chemical components in wrapper tobacco, and then near infrared spectroscopy was used to analyze the content of seven chemical components and their spectruml data of wrapper tobacco by using near infrared spectroscopy combined with partial least squares method, and the model with the optimal predictive performance was determined by comparing the root mean square error and correlation coefficient of the model.【Result】The optimal prediction results of the seven chemical components were established by the preprocessing methods of original spectrum, first derivative, first derivative, original spectrum, original spectrum, first derivative + median filtering and first derivative + median filtering, and the optimal principal component numbers were 20, 7, 4, 24, 21, 9 and 7, respectively; The training set correlation coefficients (r) of the seven models were 0.9441, 0.8589, 0.7664, 0.9511, 0.9547, 0.9031 and 0.8620, respectively. The root mean square error of cross validation (RMSECV) were 0.1288, 0.2846, 0.0280, 0.0096, 0.1894, 0.2965 and 0.0795; The correlation coefficients (r) of the validation set were 0.8958, 0.7675, 0.7181, 0.7928, 0.7282, 0.8062 and 0.7980, and the root mean square error of prediction (RMSEP) were 0.1789, 0.3011, 0.0324, 0.0193, 0.3855, 0.3990 and 0.0999. Moreover, the models were externally verified, and the results indicated that the average RSD of the predicted values and chemical values of the seven chemical components were less than 32%.【Conclusion】It was feasible to use near infrared spectroscopy to rapidly and quantitatively analyze the contents of seven chemical components in wrapper tobacco. The models had good prediction effect on the contents of seven chemical components, and could provide a reference for the rapidly and quantitatively analysis of seven chemical components in wrapper tobacco. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. 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.)

Copyright of Journal of Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural 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.)

Copyright of Journal of Guangxi Normal University - Natural Science Edition is the property of Gai Kan Bian Wei Hui 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.)

Cleaning is one of the most critical steps in the harvesting process. The cleaning sieve is a vital component in a combine harvester. However, the unbalanced vibration can often occur during machine operation, due to the processing and assembly faults with the complex external excitation. The wear of the key components can be accelerated to reduce the cleaning efficiency, even resulting in an increase in the loss rate and impurity rate during the harvesting. This study aims to focus on the unbalanced vibration that caused by the unbalanced rotor system during the operation of the grain cleaning screen. Taking the cleaning system as the research object, vibration testing and analysis were conducted with the crank slider serving as the driving mechanism, the louver lighting sieve as the upper screen, and the woven screen as the lower screen. Structure parameters were then optimized to reduce the unbalanced vibration. The air-screen combination grain cleaning system was used as the research object to tackle the unbalanced vibration that induced by the unbalanced rotor system during the operation of the grain cleaning screen. Firstly, the transmission mode was determined using working principle. Secondly, the DH5902 dynamic signal acquisition instrument was used to conduct the vibration testing on the system. The vibration signal was collected at the bearing seat of the driving mechanism rotor system. Thirdly, the time- and frequency-domain analysis was carried out to calculate the root mean square (RMS) and power spectral density. The vibration intensity was measured on the major frequency components. An aggregative indicator was constructed using variational mode decomposition (VMD), fuzzy entropy, and kurtosis for the feature extraction and analysis of the signal. The sensitive component of the original signal was calculated for the envelope spectrum using the feature component with the minimum comprehensive index. As such, the unbalanced vibration was extracted from the system. Finally, the optimization function was constructed to optimize the driving mechanism using the penalty function method under the Matlab computing platform, where the mass and installation position of the counterweight block were taken as the variables. The results show that the VMD signal decomposition feature extraction and the comprehensive index formed by kurtosis and fuzzy entropy were quickly retrieved the feature components of the signal using the ideal mode component u and the envelope spectrum. The smallest comprehensive index K was obtained in the values of 0.706 and 0.241 for the intrinsic mode components u1 -u7 after the signal VMD at the bearing housing of the cleaning screen body, respectively. The envelope spectrum was also obtained for the initial signal sensitive component u1. The uneven vibration was primarily distributed around 30.13 Hz, with the vibration intensities ranging between 0.24 and 0.29 dB, when the motor speed was 900 r/min. The weight block that optimized by the penalty function technique was weighed 3 650 g as eccentric by 136.7 mm from the disk center under a vibration strength of 0.11 to 0.12 dB at 30.13 Hz, then was reduced vibration energy by 58.62%. The finding can be used to guide the vibration reduction analysis and structural optimization design of a grain combine harvester and new types of working parts. [ABSTRACT FROM AUTHOR]

Objectives: The control network in accelerator alignment often forms a straight line or ring. The errors will accumulate as the number of stations increases when performing lap measurements with the laser tracker. To improve the measurement accuracy of the laser tracker control network, we analyze the source of errors and compare four different measurement methods. Methods: First, the formulas of error propagation in the bundle adjustment method are derived and the error source of the unknown points is analyzed. Second, the following four schemes are obtained by adopting the bundle adjustment method of laser trackers. Finally, the performances of the above schemes are analyzed in the experiment of bundle adjustment. Results: The results show that the absolute position accuracy for the scheme with fixed position and orientation is the highest among the four schemes. The average root mean square (RMS) of the position is 0.147 mm in the experiment of the closed measurement, which is less than that of the unclosed measurement with the RMS of 0.163 mm. In the measurement range of 15 m × 10 m × 3 m, the orientation of the non-fixed scheme flat-rate solution and the average RMS of the plane position are 3.58 s and 0.144 mm, respectively. The station closure can enhance the constraint. Besides, the fixed station center position can effectively inhibit the error accumulation of multi-station lap measurement, improving the accuracy of the network adjustment. Moreover, the result of fixed station center position is better than that of the fixed station center orientation, which indicates that the station positions are vital parameters that affect the two-dimensional bundle adjustment of the laser tracker. Conclusion: This paper can provide a reference for the design of the high-precision laser tracker bundle adjustment method. [ABSTRACT FROM AUTHOR]

Objectives: The accuracy of the traditional gravity-geologic method (GGM) for inversion of seafloor topography should be improved. Methods: This paper proposes an improved GGM (iGGM) considering the nonlinear term. The 1 arc minute seafloor topography of the South China Sea is inverted by iGGM, and its accuracy is evaluated through check points to verify the effectiveness. Results: The results show that neglecting nonlinear term of seafloor topography results in a deviation of approximately 50 mGal in mountainous areas with undulation of approximately 2 km. The nonlinear term of seafloor topography could be recovered by the iGGM from short-wavelength gravity anomaly. Conclusions: Compared with the traditional GGM, ETPO1 and SIO V23.1, iGGM has the best accuracy. The root mean square of deviations between iGGM and check points is 130.4 m. Compared with traditional GGM, the improvement of iGGM is 10.8 m near the Huangyan seamount chain, and it is 4.7 m near the Zhongsha Islands. [ABSTRACT FROM AUTHOR]

Three α-dicarbonyl compounds, methylglyoxal (MGO), diacetyl (DA) and glyoxal (GO) were common highly reactive glycosylation intermediates that can cause damage to biological macromolecules (e. g. DNA) in the body. The interaction properties of MGO, DA and GO with calf thymus DNA (ctDNA) were determined by multispectral methods combined with computer simulation techniques. Analysis of UV spectra indicated that MGO, DA and GO binding to ctDNA spontaneously were mainly driven by van der Waals forces and hydrogen bonding, and the energy distribution in molecular dynamics simulations supported this conclusion. The binding constants of MGO, DA and GO with ctDNA at 25 ℃ were close to those of classical groove-binders, with corresponding values of 2.99×10³, 1.96×10³ and 1. 05×10³ L·mol-1, respectively. NaCl, single and double-stranded DNA, thermal denaturation, viscosity and CD spectroscopy experiments demonstrated that MGO, DA and GO were all bound to ctDNA via groove binding. Molecular docking visualization showed that MGO, DA and GO were bound in the AT-rich minor groove region of DNA, with DT7 and DA18 being the active sites of binding. Molecular dynamics simulations of the MGO-ctDNA complex had higher root mean square deviation, radius of gyration, and root mean square fluctuation values than free DNA, indicating that the binding of MGO loosened and tended to destabilise parts of the DNA structure. Gel electrophoresis experiments showed that MGO, DA and GO could damage plasmid DNA in the presence of lysine and Cu2+, and MGO and GO even completely disrupted the superhelical morphology of DNA. [ABSTRACT FROM AUTHOR]

Abstract：Regenerative ability is closely related to the number of regenerated buds in the ratooning season, even the yield of ratooning rice. The traditional detection cannot fully meet the large-scale production in the rice regenerated buds, due to contact damage, subjective inefficiency, and low repeatability. In this study, a multi-target tracking of regenerated buds was proposed for high-precision counting using Micro-CT (computed tomography) and an improved DeepSORT. Micro-CT imaging was first adopted to capture the cross-section video stream of rice stem in the ratooning season. Then, the YOLOv5s network was used as the tracking detector of regenerated buds, while the improved DeepSORT tracking was studied to achieve the accurate tracking and counting of rice regenerated buds. The ID discrepancy was then optimized to improve DeepSORT tracking. The matching accuracy of the multi-target tracking increased using the feature of continuity between each frame of CT tomogram images, indicating the substantially improved ID switch. Finally, the height of the regenerated buds was calculated to discriminate the effectively regenerated buds using the location information of the tracking object. The experimental results showed that the Mean Average Precision (mAP) values of YOLOv5s were 97.3% and 99.1% for the regenerated buds and stalks, respectively, in the target detection. The multi-object tracking accuracy (FMOTA ), higher order tracking accuracy(FHOTA), and ID switch of the improved DeepSORT were 77.61%, 61.73%, and 6, respectively, in the multi-target tracking, compared with the original. Furthermore, the FMOTA and FHOTA were improved by 1.51% and 8.5%, respectively, whereas the ID switch was improved by 94%. The multi-object tracking efficiency of the DeepSORT and the improved were 25, and 24 frames per second, respectively, without a significant decrease in the efficiency. The system and manual measurements of 104 pots of ratooning rice were used to verify the regenerated buds, where the correlation coefficient square R² of 0.983, the root mean square error of 3.460, and the average absolute percentage error of 5.647%, indicating a better consistency with the manual measurement. The ratio of the regenerated buds to the number of the stem was computed for the early ratooning ability of rice. The correlation analysis was also performed between the ratooning ability of two rice varieties in 38 pots and the actual yield in the ratooning season. It was found the R² values were 0.795 and 0.764, respectively, indicating a significant positive correlation between the regenerative ability and rice yield. In conclusion, the novel nondestructive way was achieved to detect the regenerated buds in the early regenerative ability measurement. The finding can also provide important technical support for the ratooning rice breeding. [ABSTRACT FROM AUTHOR]

Copyright of World Nuclear Geoscience is the property of World Nuclear Geoscience Editorial Office 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.)

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Copyright of China Sciencepaper is the property of China Sciencepaper 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.)

Due to the complexity of the working scene of the forest fruit ball harvesting manipulator, the accuracy of the manipulator control is increasingly required. Considering the influence of the dynamic model of the manipulator on its control accuracy, in order to improve the control accuracy of the manipulator, a three-iterative global parameter identification method based on the least square method and GMM under the optimized excitation trajectory is proposed. This method takes the 6 - DOF manipulator configuration as an example, and obtains the minimum parameter set by establishing the dynamic model and QR decomposition. The optimization parameters of the incentive trajectory are obtained through the trajectory optimization algorithm, and then the optimized incentive trajectory is obtained. After the trajectory is obtained, the joint torque is identified by iterative weighted least square method, and the nonlinear friction force of the manipulator is fitted by constructing a nonlinear model that distinguishes high and low speed. The GMM algorithm is used to compensate the uncertain torque component that cannot be accurately modeled. Experimental tests are carried out on the COMAN R5 manipulator. Results show that the proposed trajectory parameter optimization method reduces the number of conditions from 329 to 193, and the average root mean square of torque residuals from 9.53 to 6.14, which proves the feasibility and effectiveness of the excitation trajectory and identification scheme. [ABSTRACT FROM AUTHOR]

Copyright of Journal of China Medical University is the property of Journal of China Medical University Editorial Office 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.)

Copyright of Journal of Remote Sensing is the property of Editorial Office of Journal of Remote Sensing & Science Publishing Co. 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.)

Copyright of Journal of Remote Sensing is the property of Editorial Office of Journal of Remote Sensing & Science Publishing Co. 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.)

Copyright of Journal of Chinese Institute of Food Science & Technology is the property of Journal of Chinese Institute of Food Science & Technology Periodical Office 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.)

BACKGROUND: Strength quality is an essential element for human physical activity. Short-term low-frequency pulsed electrical magnetic field (PEMF) stimulation can activate classical transient receptor potential channel 1 (TRPC1) and trigger skeletal muscle growth and remodeling in mice, thereby producing a series of physiological support effects on muscle tissue. However, there is no report on whether this mechanism will alter the physiological structure and working ability of human skeletal muscle and act as a new way to improve muscle strength. OBJECTIVE: To select a specific low-frequency PEMF that can activate TRPC1 as an exogenous stimulus to observe and verify the effect of short-term stimulation on the maximum voluntary contraction force and strength endurance of human biceps brachii. METHODS: A total of 27 normal adult healthy subjects were selected and randomly divided into exercise group, PEMF group, and exercise+PEMF group, with 9 cases in each group. The training group was subjected to resistance training. The exercise+PEMF group received 10-min low-frequency PEMF stimulation (intensity 1.5 mT, frequency 3300 Hz) immediately after resistance training. The irradiation group only received 10-minute low-frequency PEMF stimulation. Training or irradiation was performed every 48 hours for 9 days. Electromyography information on the maximum voluntary contraction force was collected before and after five training sessions in the exercise group and the exercise+PEMF group, to observe whether the combination of low-frequency PEMF and resistance training will produce a gain effect. In the PEMF group, the maximum voluntary contraction force was tested only at the 1st, 3rd, and 5th sessions to track the changes in muscle strength. The maximum voluntary contraction force, one-repetition maximum force, endurance duration and median frequency were observed in each group. RESULTS AND CONCLUSION: (1) During the trial, there were significant interaction effects between the changes in maximum voluntary contraction force and time in all the subjects (P < 0.01) as well as in each group as time goes by (P < 0.05). However, there was no interaction effect between groups. (2) There was a significant improvement in the maximum voluntary contraction force, one-repetition maximum force, endurance duration, and median frequency in each group after completion of the trial. These indicators were successively improved by 19%, 23%, 28%, and 18% in the exercise group, 11%, 10%, 53%, and 18% in the exercise+PEMF group, and 28%, 18%, 27%, and 6% in the PEMF group. (3) The median frequency of the exercise+PEMF group was significantly higher than that of the PEMF group (P < 0.05), but there was no significant difference between the exercise+PEMF group and exercise group. (4) Compared with the exercise+PEMF group, the exercise group showed a significant decrease in the root mean square of maximum voluntary contraction after the first two exercise sessions (P < 0.05). (5) All these findings indicate that the short-term PEMF stimulation with intensity of 1.5 mT and frequency of 3 300 Hz can significantly improve the maximum voluntary contraction force and strength endurance of human biceps brachii. That is, low-frequency PEMF can induces TRPC1 to promote the working ability of muscle tissue, which has been effectively verified in human body. Low-frequency PEMF stimulation shares similar effects with conventional resistance training in terms of enhancing the maximum strength. Resistance training combined with PEMF stimulation shows better anti-fatigue ability and stabilizes the increase of muscle strength. This combination can stimulate more motor units of local muscle groups under the same load in the early stage of training and improve the overall training efficiency. In terms of strength endurance improvement, low-frequency PEMF stimulation can prolong isometric muscle contraction time and improve anti-fatigue ability. Compared with simple low-frequency PEMF stimulation, low-frequency PEMF stimulation combined with resistance training is more effective to develop strength endurance. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. 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.)

Objectives: Machine learning language has become an ideal modeling tool in the field of dam health monitoring with its powerful nonlinear data mining ability. However, the minimum fitting mean square error (MSE) is determined as the only optimization objective in the traditional modeling process, which is likely to cause over-fitting problems. Methods: To overcome this problem, based on the relevance vector machine (RVM), a probabilistic prediction model is established under the constraint of double optimization objectives, which integrates the deformation spatial association and MSE. The deformation spatial association is quantified by the shape similarity index (SSI) at first. The double objective is then established with the combination of the MSE and SSI, and is achieved by making the MSE as small as possible, while the SSI is as large as possible. Results: Engineering example of the JinpingI arch dam shows that the average decrease proportion of the root mean square error and maximum absolute error of the proposed double objective RVM model is 31.2% and 24.8%, respectively, and the prediction performance can be further improved by using the multi-kernel function. The prediction confidence bandwidth of the RVM model is significantly smaller than that of the traditional multiple linear regression model, with an average decrease pro‐ portion of 75.1%.Conclusions: Therefore, the multi-kernel double objective RVM model established for the displacement of super high arch dams can effectively improve the prediction performance and reduce the uncertainty. [ABSTRACT FROM AUTHOR]

The photosynthesis of green plants is affected by many factors. Therefore, constructing a photosynthetic rate model integrating multiple factors is the key to achieve efficient prediction of crop growth. In this paper,cream lettuce was taken as the research object, a multi-factor nested experiment was set, and the external environmental variables included photon flux density, room temperature, leaf temperature, carbon dioxide volume fraction, and so on. 648 sets of experimental data were obtained. Pearson correlation analysis method was used to analyze the correlation between each factor and photosynthetic rate. Root temperature, leaf temperature, carbon dioxide volume fraction, and photon flux density were selected as the input characteristics for modeling. On this basis, a photosynthetic rate model of cream lettuce based on LMBP algorithm was established. The results showed that root temperature was significantly related to the photosynthetic rate of the plant at the level of 0.01. Compared with the training results of the model without considering the root temperature, the accuracy of the training set and test set of the model after adding root temperature was improved. The root mean square error and the mean absolute error of the training set were 1.46×10-3 μmol/(m² ·s) and 1.873×10-3 μmol/(m² ·s), respectively. The determination coefficient of the test set was 0.995 26. The photosynthetic rate model of cream lettuce based on the LMBP algorithm considered the effect of root temperature on plant photosynthesis, and could achieve accurate prediction of photosynthetic rate. [ABSTRACT FROM AUTHOR]

In recent years, the insulated gate bipolar transistor (IGBT) has been widely used in rail transportation, new energy sources and other fields. Its reliability research is currently a hot topic for scholars. Aiming at the reliability analysis of IGBT, this paper proposes a deep learning model based on long and short-term memory network and convolutional neural network (LSTM-CNN) as the backbone network for IGBT failure prediction. In the model, the introduced attention mechanism gives a higher weight of dominant factors to the features of different dimensions so as to strengthen the influence of important information. At the same time, cross-connection of the network structure fully extracts the features of different levels. The fused multi-level features improve the generalization and robustness of the model. This method is validated on IGBT accelerated aging dataset of National Aeronautics and Space Administration. The experimental results show that, compared with the current mainstream models, the root-mean-square error of the prediction accuracy of the attention mechanism and cross-connection improves by 1.27% and 0.78% respectively. Based on this, a network model based on the fusion of attention mechanism and LSTM-CNN with jump structures is further proposed, and its root-mean-square error of the prediction accuracy increases by 2. 68%. It can be concluded that in the failure prediction of IGBT, attention mechanism and cross-connection improve the generalization and robustness of the model from different perspectives, which fully indicates the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office 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.)

Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office 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.)

High - resolution meteorological data serve as an important data basis for fine - scale meteorological services. Using the hourly 2 - meter air temperature grid data from January 2020 to March 2021 and the terrain factors such as altitude, longitude, and latitude, this study aimed to enhance the resolution of 2 - meter air temperature grid data with a resolution of 1 km to 100 m through downscaling based on four machine learning methods, namely LightGBM ( LGB), XGBoost (XGB), gradient boosting tree ( GBT), and random forest ( RF) . Then, this study conducted the weighted fusion of downscaling results of different models. Finally, the downscaling results of different models were compared with the bilinear interpolation results, and the results are as follows. The results of each downscaling model were relatively consistent with the observational data. Compared with the bilinear interpolation results, the results of the LGB, XGB, and RF models had similar spatial structures but were more detailed. All downscaling models yielded the same spatio - temporal distribution characteristics of errors. Compared with the bilinear interpolation results, the data of the LGB, XGB, and GBT models showed significantly higher precision, and their root mean square ems ( RMSEs) decreased by 5. 2%, 4. 1%, and 4. 6%, respectively. Meanwhile, the RMSE after weighted fusion decreased by 5. 9%, which was higher than that of any single machine learning model. The downscaling results of the LGB, XGB, and GBT models were improved to a certain degree compared with the bilinear interpolation results under different terrain conditions, especially in high - altitude areas (above 600 m) . The correlation coefficients of results of the LGB, XGB, and BGT models and model based on weighted fusion increased by 0. 45%, 0. 40%, 0. 63%, and 0. 66%, respectively, and their RMSEs decreased by 9.1%, 8.0%, 12. 7%, and 13. 1%, respectively. These results indicate that the downscaling model based on the weighted fusion of different machine learning methods can both improve spatial resolution and maintain data precision and, thus, is suitable for downscaling research on 2 - meter air temperature data in the study area. This study can be used as a reference for developing high - resolution data products. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Guangxi Normal University - Natural Science Edition is the property of Gai Kan Bian Wei Hui 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.)

Copyright of Journal of Henan University of Science & Technology, Natural Science is the property of Editorial Office of Journal of Henan University of 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.)

Objectives: Based on the first asteroid exploration plan announced by China Space Administration on April 19, 2019, the main belt comet 133P/Elst-Pizarro (7968) is one of the possible mission tar‐ gets. We aim to report integrated orbital fits for 133P through all the available ground-based optical data. Methods: We developed an optical orbit determination software and compared it with the well-known Orb‐ Fit software system. The 133P/Elst-Pizarro' s ground-based optical observation data from July 24, 1979 to October 28, 2019 were analyzed. In addition, we carried out a simulation orbit determination analysis aimed at 133P/Elst-Pizarro to discuss the orbit determination accuracy from ground-based optical data. Results: After the fitting process, the residual distribution of 133P ground-based optical data is consistent be‐ tween our results and the results from OrbFit. The measurement statistical residual root mean square (RMS) is less than 0.01″, and the internal coincidence accuracy of orbit determination is also consistent with each other. In our simulation experiments, we used 20-year simulation optical observation data measured once a month from Yunnan station and Chile station. The data were also added with Gaussian white noise which is close to the current actual observation level. The results of our simulation experiments reflected that the optical orbit determination accuracy of the asteroid was at 50 km level. Conclusions: The processing results of 133P optical data suggests the reliability of our software. Further simulation analysis shows that the optical orbit determination accuracy of the asteroid can be effectively improved by increasing the observation data or reducing the observation noise. [ABSTRACT FROM AUTHOR]