Intein-mediated split SaCas9 for genome editing in plants by Danling Hu, Lizhe Hu, Yaqiang Lu, Xiao Dong, Xingyu Cao, Shasha Bai, Lingang Zhang, Dongming Li, Yongwei Sun

“…The Split-v1 system demonstrated genome editing efficiencies in transgenic plants comparable to those achieved with wild-type SaCas9, with efficiencies ranging from 70.2% to 96.1%. Additionally, we constructed barley stripe mosaic virus (BSMV)-based vectors to co-express Split-v1 SaCas9 and gRNAs targeting LcHRC, LcGW2, and LcTB1 in sheepgrass (Leymus chinensis), a Gramineae forage species known for its recalcitrance to genetic transformation. …”
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Analysis on Elastohydrodynamic Lubrication in Grease-lubricated Ball Bearings Considering Film Thickness Correction by Zhang Weiye, Zhang Chang, Jiang Ziyang, Ni Wenjun, Liao Fuqiang

“…To study the lubrication characteristics of grease-lubricated rolling ball bearings, such as film thickness and pressure variations in elastohydrodynamic lubrication with elliptical point contact, a numerical analysis model of elastohydrodynamic grease lubrication is firstly constructed. This model is based on the Herschel-Bulkley rheological model of lubricating grease and includes the constitutive equation for grease, Reynolds equation, film thickness equation, viscosity-pressure equation, density-pressure equation, and load balance equation. …”
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Research on Runoff Simulation of Arid Oasis Irrigation Area Based on SWAT Model by JIANG Mengyao, WANG Shuixian, ZHAO Zhigang

“…In order to study the runoff changes in the arid oasis irrigation area,this paper constructs a distributed hydrological model of Yanqi Basin based on SWAT model with the Chinese meteorological assimilation driving datasets (CMADS) from 1955 to 2017,traditional hydrometeorological station data,land use data,soil data,digital elevation data,analyzes the sensitivity of parameters by SUFI-2 (Sequential Uncertainty Fitting) algorithm,calibrates several important parameters influencing runoff simulation results through SWAT-CUP (SWAT Calibration Uncertainty Procedures) software,and verifies the model by the measured runoff from 1991 to 2017.The results show that:the simulated runoff of Yanqi Basin in Xinjiang for a long time scales coincides with the measured runoff.During the calibration period and verification period,the Nash coefficient (NES) is above 0.82,the Pearson correlation coefficient (R²) is 0.86 and 0.90 respectively,and the relative error (R_e) is less than 10.Therefore,SWAT model is well applicable to the runoff simulation of Yanqi Basin.Based on this,runoff changes from 2016 to 2100 in Yanqi Basin under the scenarios of RCP4.5 and RCP8.5 are simulated.It can be found that precipitation changes in Kaidu River basin have a significant impact on runoff in Yanqi Basin,that is,when precipitation increases by 20% and temperature increases by 2°C,the runoff increases by 26.53% compared with the current year.…”
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Analysis of the Control Strategy of Non-linear Torsional Vibration in the Main Driving System of Cold Rolling Mill by He Yongling, Liao Binjie

“…Based on Hopf bifurcation theory,a nonlinear state feedback controller is constructed. Aiming at the nonlinear system,the Hopf bifurcation control method is proposed to enlarge the stable region,change the behavior of the bifurcation point and reduce the limit amplitude. …”
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Intellectual measurement and evaluation of the results of customs authorities’ activities by G. I. Goremykina, Yu. E. Gupanova

“…The implementation of the technology for presenting experts’ knowledge in the subject area is carried out on the basis of constructing a prescriptive logical production model that allows formalizing expert knowledge in the form of implicative statements involving fuzzy formulations in antecedents and consequents, and using a generalized modus ponens as a logical conclusion. …”
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Improved Kalman filter indoor positioning algorithm based on CHAN by Rui JIANG, Yue YU, Youyun XU, Xiaoming WANG, Dapeng LI

“…Due to the raising complexity of the indoor environment, the influence of the non-line-of-sight error is gradually increasing in indoor positioning.How to reduce the non-line-of-sight error in the indoor positioning environment is particularly significant.The UWB indoor positioning technology was selected, Kalman filter has been used widely in reducing the positioning error in indoor non-line-of-sight situations.However, in the process of switching between line of sight and non-line-of-sight scenes, the Kalman filter will produce a new error.To solve this problem, an improved Kalman filter indoor positioning algorithm based on CHAN was proposed.The ranging results of five or more base stations were used to construct a positioning solution equation set.Then the CHAN algorithm that was sensitive to positioning errors under non-line-of-sight conditions was selected to calculate the result.Finally, residual processing was performed with the results of each base station and different confidence regions were judged in line with the residual processing.For different confidence regions, the Kalman filter preset gain factor K was used to improve the stability of the positioning result and reduce the positioning error in the conversion process.In the simulation environment, the error can reach about 80 cm.In real scene, the algorithm can reduce the positioning error in non-line-of-sight scenes to 60 cm, which can improve accuracy 60% higher than normal complex indoor positioning.…”
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A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm by Qinying Yuan

“…In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the characteristics and rules of teachers’ control of classroom emotion nowadays using big data, find the parts of classroom emotion, and design a classroom emotion recognition model based on convolutional neural network speech emotion algorithm according to these characteristics. …”
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Designing open quantum systems with known steady states: Davies generators and beyond by Jinkang Guo, Oliver Hart, Chi-Fang Chen, Aaron J. Friedman, Andrew Lucas

“…We provide a systematic framework for constructing generic models of nonequilibrium quantum dynamics with a target stationary (mixed) state. …”
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Ductile fracture modelling and J-Q fracture mechanics: a constraint based fracture assessment approach by N.O. Larrosa, R.A. Ainsworth

“…Fracture toughness values for different specimens have been obtained from tearing resistance curves (J-R curves) constructed by means of a virtual testing framework. …”
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Prospects for marker-associated selection in tomato <i>Solanum lycopersicum</i> L. by A. B. Shcherban

“…A separate chapter is devoted to the use of various types of DNA markers for constructing detailed genetic maps of the specified object, which, along with full-genome sequencing data, can be used to screen for genes responsible for breeding traits. …”
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Antigua zona minera de Peñarroya-Pueblonuevo (Córdoba) by Aitana Pérez Hurtado

“…At the back we can see the constructions, half torn down, and the tall brick chimneys. …”
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Clavulanic Acid Adsorption Studies in Zeolites by Marcus Bruno Soares Forte, Maria Isabel Rodrigues, Francisco Maugeri Filho

“…Adsorption isotherms at 10, 15 and 20 °C were constructed using 13X-Na zeolite and solutions of pure clavulanic acid; these demonstrated that the lower the temperature, the higher the amount of clavulanic acid adsorbed.…”
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Aerodynamic Optimization of a UAV Wing subject to Weight, Geometric, Root Bending Moment, and Performance Constraints by Durmuş Sinan Körpe, Öztürk Özdemir Kanat

“…The functional constraints related to the wing weight, the wing planform area, and the root bending moment are added to the first optimization problem, and the second optimization problem is constructed. The third optimization problem is obtained by adding the level flight condition and the available power constraints at the maximum speed and the level flight condition at the minimum speed of the baseline unmanned air vehicle to the second problem. …”
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Academic vocabulary for L2 argumentative writing: Perspectives from Chinese university EFL learners by Changyong Min, Apisak Sukying

“…The results indicated that while participants had a heightened awareness of the importance of academic vocabulary, they lacked a comprehensive understanding of this construct. More specifically, they knew little about the academic register, and their academic vocabulary size was small. …”
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Emotion recognition in conversations based on discourse parsing and graph attention network by HAO Xiulan, WEI Shaohua, CAO Qian, ZHANG Xiongtao

“…Firstly, the discourse dependency relationships within the conversation were obtained through discourse parsing, and the discourse dependency graph and the speaker relationship graph were constructed. Subsequently, different types of speaker diagrams were internally integrated by multi-head attention mechanisms. …”
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Loosening of Access Threshold and Downturns in Listed Firms Performance: A Quasi-Natural Experiment from the “IPO Green Channel” for Poverty Alleviation by Yi Sun, Chunying Cui, Ya Gao, Chunyan Zhao

“…This paper uses data from public annual reports of listed companies to construct a policy intervention group and a control group and comparatively analyzes the degree of annual performance downturn of newly listed companies in A-share from 2016 to 2017 through a counterfactual method, and the results show that the “IPO green channel” policy for poverty alleviation has an obvious negative effect on listed enterprises in poverty-stricken counties. …”
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Study on River System Flood Forecasting Scheme for Longtan Hydropower Station Interval in Hongshui River by DU Yong, FU Yupeng, WEI Yongjiang, LI Zongtai

“…Longtan Hydropower Station is a flood control project in the Pearl River Basin,but there is currently a lack of a comprehensive river system flood forecasting scheme.In order to give full play to the flood control and storage function of Longtan Hydropower Station,tributary control stations such as Leigongtan,Moyang,Pinglihe,Pinghu,and Xianrenqiao are selected,and the key areas of concern are determined through the analysis of important sub-intervals.The river system flood forecasting scheme for the Longtan Hydropower Station interval is constructed by using the Xin'an River three-source runoff generation model,three-source lag routing convergence model,and Maskingen convergence algorithm.The research results show that the proportion of the maximum inflow flood volume of Longtan Hydropower Station is usually in uncontrolled intervals,followed by the tributaries in Guizhou Province (Mengjiang River,Bawang River,Caodu River,and Liudong River),which are the focus of flood forecasting.The total average relative peak flow error and the average relative flood volume error in the river system flood forecasting scheme are both 10%,and the average deterministic coefficients are above 0.75.The overall results are relatively accurate.Therefore,the river system flood forecasting scheme for the Longtan Hydropower Station interval can be applied to real-time flood operation forecasting,and it lays a solid foundation for further improving the “forecast,early warning,rehearsal,and contingency plan” capability.…”
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Research on mimic decision method based on deep learning by Xiaohan YANG, Guozhen CHENG, Wenyan LIU, Shuai ZHANG, Bing HAO

“…Due to software and hardware differentiation, the problem of false positives mistakenly identified as network attack behavior caused by inconsistent mimic decision results frequently occurs.Therefore, a mimic decision method based on deep learning was proposed.By constructing an unsupervised autoencoder-decoder deep learning model, the deep semantic features of diverse normal response data were explored from different executions and its statistical rules were analyzed and summarized.Additionally, the offline learning-online decision-making mechanism and the feedback optimization mechanism were designed to solve false positive problem, thereby accurately detecting network attacks and improving target system security resilience.Since statistical rules of normal response data was understood and mastered by deep learning model, the mimic decision results among different executions could remain consistent, indicating that the target system was in a secure state.However, once the target system was subjected to a network attacks, the response data outputted by the different executions was deviated from statistical distribution of deep learning model.Therefore, inconsistent mimic decision results were presented, indicating that the affected execution was under attack and the target system was exposed to potential security threats.The experiments show that the performance of the proposed method is significantly superior to the popular mimic decision methods, and the average prediction accuracy is improved by 14.89%, which is conducive to integrating the method into the mimic transformation of real application to enhance the system’s defensive capability.…”
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Optimization of Antibacterial, Structures, and Thermal Properties of Alginate-ZrO2 Bionanocomposite by the Taguchi Method by Mohsen Safaei, Hedaiat Moradpoor, Mohammad Salmani Mobarakeh, Nima Fallahnia

“…Using the Taguchi method, alginate biopolymer, zirconia NPs, and stirring time were utilized to construct nine nanocomposites. Analysis of Fourier transform infrared spectroscopy (FTIR), ultraviolet-visible (UV-vis), spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), and thermogravimetric analysis (TGA) indicated the development of nanocomposites with appropriate structural properties. …”
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A Data Mining-Based Model for Evaluating Tennis Players’ Training Movements by Hang Chen

“…This paper uses video observation and mathematical modeling to construct a tennis player training action evaluation model, which provides a reference basis for tennis players to improve and enhance their tactical level; it can also provide a reference for the development of sports training special theory of tennis projects and enrich the tactical diagnosis method of tennis matches. …”
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