Bacterial Community Structure and Function Shift in Rhizosphere Soil of Tobacco Plants Infected by Meloidogyne incognita

Wenjie Tong(Wenjie Tong),Junying Li(Junying Li),Wenfeng Cong(Wenfeng Cong),Cuiping Zhang(Cuiping Zhang),Zhaoli Xu(Zhaoli Xu),Xiaolong Chen(Xiaolong Chen),Min Yang(Min Yang),Jiani Liu(Jiani Liu),Lei Yu 한국식물병리학회 2022 Plant Pathology Journal Vol.38 No.6

Root-knot nematode disease is a widespread and catastrophic disease of tobacco. However, little is known about the relationship between rhizosphere bacterial community and root-knot nematode disease. This study used 16S rRNA gene sequencing and PICRUSt to assess bacterial community structure and function changes in rhizosphere soil from Meloidogyne incognita-infected tobacco plants. We studied the rhizosphere bacterial community structure of M. incognita-infected and uninfected tobacco plants through a paired comparison design in two regions of tobacco planting area, Yuxi and Jiuxiang of Yunnan Province, southwest China. According to the findings, M. incognita infection can alter the bacterial population in the soil. Uninfested soil has more operational taxonomic unit numbers and richness than infested soil. Principal Coordinate Analysis revealed clear separations between bacterial communities from infested and uninfested soil, indicating that different infection conditions resulted in significantly different bacterial community structures in soils. Firmicutes was prevalent in infested soil, but Chloroflexi and Acidobacteria were prevalent in uninfested soil. Sphingomonas, Streptomyces, and Bradyrhizobium were the dominant bacteria genera, and their abundance were higher in infested soil. By PICRUSt analysis, some metabolism-related functions and signal transduction functions of the rhizosphere bacterial community in the M. incognita infection-tobacco plants had a higher relative abundance than those uninfected. As a result, rhizosphere soils from tobacco plants infected with M. incognita showed considerable bacterial community structure and function alterations.

Learning Power of Chinese Students: Why Perceived Achievement Goal Motivation, Teacher-Student Closeness and Parent Involvement Matter

( Wenjie He ),( Phinihas Acheampong ),( Qiong Li ) 경북대학교 중등교육연구소 2021 Asia Pacific Journal of Educational Research Vol.4 No.2

It is evident that helping students learn “how to learn” develop learning power. This makes young learners confident and prepared to face the challenges of life. However, this appears hard-to-accomplish in isolation without the active involvement of parents and teachers. This paper aims to investigate how teacher-student closeness, parents involvement and learning power fix together and the extent to which achievement goal orientation explains the association between the context and students’ learning. A sample of 1882 Chinese high school students in Beijing were recruited to participate in the study. Structural equation modeling was used to test the direct and indirect effects of student perceived achievement goal motivation, teacher-student closeness and parent involvement in predicting students’ learning power. The results demonstrate that teacher-student closeness and parent involvement were highly associated with learning power and predicted a high mastery-oriented goal motivation. The mastery-oriented goal motivation as a mediating role partially explained the association between context and students’ learning power. The findings highlight the importance of students’ learning motivation and contexts of teacher and parent involvement in developing students’ learning qualities and power.

Lead tolerance and accumulation characteristics of three Hydrangea cultivars representing potential lead-contaminated phytoremediation plants

Wenjie Ma,Bing Zhao,Xiaofan Lv,Xuan Feng 한국원예학회 2022 Horticulture, Environment, and Biotechnology Vol.63 No.1

Heavy metal contamination of soil is a serious environmental problem worldwide. With improving ecological awareness,phytoremediation has attracted increasing attention as an economic, effi cient, and environmentally friendly method to addressheavy metal pollution. Hydrangea plants are not only colorful and aesthetically pleasing, but they also grow vigorously. Inthis study, we examined the responses of three Hydrangea cultivars to diff erent levels of lead (Pb) stress in terms of theirgrowth responses, biochemical changes, and heavy metal accumulation. We found that (1) no visual heavy metal toxicitysymptoms were observed in the three Hydrangea cultivars under any Pb treatment. (2) At low concentrations of Pb (100–200 mg kg −1 ), the root length of the three cultivars increased signifi cantly compared with that of the control; no signifi cantchange was found in shoot biomass in the three cultivars under any Pb treatment. (3) The biochemical changes in responseto Pb stress diff ered between the cultivars. (4) Under all Pb treatments, the Pb concentrations in the roots were signifi cantlyhigher than those in the shoots of the cultivars, with translocation factor (TF) values < 1. Our results suggest that all threeHydrangea cultivars tested have the potential to tolerate high Pb levels in soil and showed Pb phytostabilization tendencieswith features essential for phytoextraction.

Future Earth Global Secretariat Hub China: Vision, mission, and recent progresses

Wenjie Dong 한국기상학회 2023 한국기상학회 학술대회 논문집 Vol.2023 No.4

Generative Artificial Intelligence for Structural Design of Tall Buildings

Wenjie Liao,Xinzheng Lu,Yifan Fei Council on Tall Building and Urban Habitat Korea 2023 International journal of high-rise buildings Vol.12 No.3

The implementation of artificial intelligence (AI) design for tall building structures is an essential solution for addressing critical challenges in the current structural design industry. Generative AI technology is a crucial technical aid because it can acquire knowledge of design principles from multiple sources, such as architectural and structural design data, empirical knowledge, and mechanical principles. This paper presents a set of AI design techniques for building structures based on two types of generative AI: generative adversarial networks and graph neural networks. Specifically, these techniques effectively master the design of vertical and horizontal component layouts as well as the cross-sectional size of components in reinforced concrete shear walls and frame structures of tall buildings. Consequently, these approaches enable the development of high-quality and high-efficiency AI designs for building structures.

Identification of novel alleles induced by EMS-mutagenesis in key genes of kernel hardness and starch biosynthesis in wheat by TILLING

Wenjie Li,Huijun Guo,Yongbin Wang,Yongdun Xie,Linshu Zhao,Jiayu Gu,Shirong Zhao,Baocun Zhao,Guangjin Wang,Luxiang Liu 한국유전학회 2017 Genes & Genomics Vol.39 No.4

To identify novel allelic variations in key genes of wheat quality, the present study used the targeting induced local lesions in genomes platform to detect point mutations in target genes. The wheat variety Longfumai 17 was treated by the mutagen ethyl methanesulfonate to produce a bulk M2 generation, and the population included 1122 plants. A total length of 3906.80 kb nucleotides was analyzed, and the average mutation density was 1/244.17 kb. The identified mutations included G>A substitutions (43.75%), C>T substitutions (31.25%), A insertions (12.50%), T insertions (6.25%), and deletions (6.25%). These point mutations led to changes in amino acids and thus the encoded protein sequences, ultimately producing 18.75% of missense mutations, 12.50% of frame shift mutations, 6.25% of nonsense mutations, 25.00% of silent mutations and 37.50% of non-coding region mutations. In the kernel hardness gene Pinb and 3 starch synthesis genes waxy, Agp2 and SSIIa-A, we detected 16 different point mutations in 25 mutant lines. The Pinb gene harbored two missense mutations and a nonsense mutation; the C>T missense mutation resulted in a novel allele, this novel allele and the nonsense mutation alerted protein 3D structure; the waxy gene presented missense and frame shift mutations; the Agp2 gene carried a missense mutation; the SSIIa-A incurred a missense mutation and a frame shift mutation that resulted in premature protein termination. All the frame shift mutations, nonsense mutations and the Pinb novel allele resulted in allelic variation of their corresponding genes, which in turn affected their gene functions. The identified mutant lines can be used as intermediate materials in wheat quality improvement schemes.

Application of different surrogate models on the optimization of centrifugal pump

Wenjie Wang,Ji Pei,Shouqi Yuan,Jinfeng Zhang,Jian-Ping Yuan,Changzheng Xu 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.2

An optimization process for impellers was carried out based on numerical simulation, Latin hypercube sampling (LHS), surrogate model and Genetic algorithm (GA) to improve the efficiency of residual heat removal pump. The commercial software ANSYS CFX 14.5 was utilized to solve the Reynolds-averaged Navier-Stokes equations by using the Shear stress transport turbulence model. The impeller blade parameters, which contain the blade inlet incidence angle ∆β, blade wrap angle φ, and blade outlet angle β 2 , were designed by random sample points according to the LHS method. The efficiency predicted under the design flow rate was selected as the objective function. The best combination of parameters was obtained by calculating the surrogate model with the GA. Meanwhile, the prediction accuracies of three surrogate models, namely, Response surface model (RSM), Kriging model, and Radial basis neural network (RBNN), were compared. Results showed that the calculated findings agree with the experimental performance results of the original pump. The RSF model predicted the highest efficiency, while the RBNN had the highest prediction accuracy. Compared with the simulated efficiency of the original pump, the optimization increased efficiency by 8.34% under the design point. Finally, the internal flow fields were analyzed to understand the mechanism of efficiency improvement. The optimization process, including the comparison of the surrogate models, can provide reference for the optimization design of other pumps.

The application of a regularization method to the estimation of geometric errors of a three-axis machine tool using a double ball bar

Wenjie Tian,Guang Yang,Lina Wang,Fuwen Yin,Weiguo Gao 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.10

Geometric accuracy is crucially important for machine tools. Identification of geometric errors, especially position-dependent geometric errors, is still a challenging issue. This paper presents a systematic and fast approach to identify the geometric error components of a precision machine tool using double ball bar (DBB). The approach can be implemented in three steps: (1) polynomial based error modeling that relates the DBB radius error directly to the geometric error parameters of machine tool; (2) spatial measurement trajectory planning with a single installation of DBB in order to avoid producing extra setup errors; (3) error identification with regularization method that can solve the ill-posed identification problem effectively. Simulations and experiments show the accuracy and effectiveness of the proposed identification approach. The results of the DBB test show that, utilizing the proposed identification method, the roundness errors of the three circular paths in xy-, yz- and xz-plane are reduced from 27.3 μm, 20.7 μm and 24.1 μm to 9.2 μm, 12.3 μm and 7.8 μm, respectively, with error compensation.

VARIABLE CROSS-SECTION RECTANGULAR BEAM AND SENSITIVITY ANALYSIS FOR LIGHTWEIGHT DESIGN OF BUS FRAME

Wenjie Zuo,Jiaxin Fang,Minghui Zhong,Guikai Guo 한국자동차공학회 2018 International journal of automotive technology Vol.19 No.6

Timoshenko beam element of variable cross-section rectangular tube is developed and applied in the lightweight design of bus frame in this paper. Firstly, the finite element formulations of variable cross-section beam (VCB) are derived under the loadsteps of axial deformation, torsional deformation and bending deformation. Secondly, bending deformation experiment and its detailed shell finite element model (FEM) simulation of variable cross-section rectangular tube were conducted; and the proposed VCB, detailed shell FEM and experimental results can be highly consistent. Thirdly, VCBs are used to substitute for parts of the uniform ones in a bus frame. An innovatively lightweight bus frame is obtained and all the performance responses are improved simultaneously. Finally, rollover analysis further shows the advantage of variable cross-section bus frame in crashworthiness design.

An Adaptive Fault-tolerant Control Method for Robot Manipulators

Wenjie Zhang,Xiaohui Yang,Zhenghong Xu,Wei Zhang,Li Yang,Xiaoping Liu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.12

This paper presents a new method for adaptive continuous nonsingular fast terminal sliding mode control (ACNFTSMC) based on a novel structure-improved extended state observer (SIESO) for fault-tolerant control (FTC). In response to the initial peaking phenomenon in traditional ESO (TESO), which can severely degrade the accuracy and stability of the control system, The SIESO is designed to replace TESO to estimate the lump disturbances/faults. Besides, to address the problem of the unknown estimation error of ESO, an adaptive technique is applied to compensate for the observation error in real-time. To guarantee fast convergence and chattering-free, the CNFTSMC method is employed. Afterward, the stability and rapid convergence of the control system is demonstrated using Lyapunov theory. Finally, the simulation results verify the superiority of the proposed control strategy compared to the other existing advanced control techniques.