Influence of wheat-walnut intercropping on the Sitobion avenae and its predatory natural enemies

Gao Haifeng,Jia Shuangshuang,Liu Yongqiang,Shen Yuyang,Li Guangkuo,Zhao Sifeng,Ge Feng 한국응용곤충학회 2024 Journal of Asia-Pacific Entomology Vol.27 No.1

Intercropping is widely applied all over the world, and it often causes significant changes in the number of arthropod communities. Walnut-wheat intercropping systems are commonly applied in Southern Xinjiang of China. But it is still not clear how wheat-walnut intercropping influence pest and natural enemy populations, and their ratio in wheat fields. To clarify this question and provide guidance to pest management, field surveys were conducted in Xinjiang during 2017–2019. Three intercropping treatments were tested, which were wheat-walnut 10:6, 25:6, and monoculture wheat. Our results showed that the abundance of predators (mainly ladybeetles and lacewings) increased in wheat under wheat-walnut intercropping systems (especially in intercrop treatment 10:6). Compared with monoculture wheat, the ratio of predators to Sitobion avenae was not enhanced in wheatwalnut intercropping fields. S. avenae populations increased in the walnut intercropped wheat fields. The intercropping system was not beneficial to S. avenae control in wheat fields. Different measures should be taken to strengthen the control of S. avenae in walnut intercropped wheat fields.

Saliency-Assisted Collaborative Learning Network for Road Scene Semantic Segmentation

Haifeng Sima,Yushuang Xu,Minmin Du,Meng Gao,Jing Wang 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3

Semantic segmentation of road scene is the key technology of autonomous driving, and the improvement of convolutional neural network architecture promotes the improvement of model segmentation performance. The existing convolutional neural network has the simplification of learning knowledge and the complexity of the model. To address this issue, we proposed a road scene semantic segmentation algorithm based on multi-task collaborative learning. Firstly, a depthwise separable convolution atrous spatial pyramid pooling is proposed to reduce model complexity. Secondly, a collaborative learning framework is proposed involved with saliency detection, and the joint loss function is defined using homoscedastic uncertainty to meet the new learning model. Experiments are conducted on the road and nature scenes datasets. The proposed method achieves 70.94% and 64.90% mIoU on Cityscapes and PASCAL VOC 2012 datasets, respectively. Qualitatively, Compared to methods with excellent performance, the method proposed in this paper has significant advantages in the segmentation of fine targets and boundaries.

Seismic Performance of New-type Box Steel Bridge Piers with Embedded Energy-Dissipating Shell Plates under Tri-directional Seismic Coupling Action

Haifeng Li,Xuanneng Gao,Yang Liu,Yongfeng Luo 한국강구조학회 2017 International Journal of Steel Structures Vol.17 No.1

Accurate numerical models are necessary to evaluate the seismic performance and load-bearing mechanism of new-type box steel bridge piers with embedded energy-dissipating shell plates under tri-directional seismic coupling action. Numerical simulations of seismic performance under six types of tri-directional seismic coupling action was conducted. The effects of this stress on the seismic performance of the new-type steel bridge piers was evaluated through analysis of damage mode, hysteresis curve, skeleton curve, stiffness and strength degradation characteristic, and energy-dissipating capacity. This study also compared the numerical analysis with experimental results in order to validate the accuracy of the proposed finite element model. Based on this model, the range of relevant parameters expanded and 88 numerical specimens were analysed for seismic performance, producing further information about the influence of thickness and curvature of the embedded shell plate, spacing of transverse stiffening ribs of the shell, axial compression ratio, and slenderness ratio. Results showed that tri-directional seismic coupling action significantly affects the specimen’s deformation capacity; the embedded shell plate effectively improves the piers’ loadcarrying and deformation capacity; and the thickness of the embedded shell plate, width-to-thickness ratio of the wall plate, axial compression ratio, and slenderness ratio significantly affect the seismic performance of the new-type steel bridge piers. To promote the ease of seismic design of new-type box steel bridge piers, this study used theoretical analysis and numerical simulation to calculate equations for the minimum height of the energy-dissipating zone of the bottom embedded shell plate. Finally, formulas were also established to calculate the relevant stability bearing capacity and displacement ductility factor of the new-type steel bridge piers under tri-directional seismic coupling action in order to improve their seismic design.

Application of copper sulfate based fenton-like catalyst in degradation of quinoline

Zhaojie Jiao,Haifeng Gong,Ye Peng,Guilin Zhou,Xianming Zhang,Xu Gao,Yunqi Liu 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.5

In the practical application of water treatment, the Fenton reaction usually works at a lower pH. To overcome the above shortcomings, a Fenton-like reaction system with copper sulfate as a catalyst was proposed. In this paper, quinoline was used as the target pollutant and the effects of catalyst dosage, H₂O₂ dosage, reaction temperature, and initial concentration of quinoline and pH on the removal effect were investigated, and the evolution in pH and hydroxyl radical concentration during reaction, as well as the possible catalytic mechanism and degradation pathway were clarified. The results show that under a catalyst dosage of 0.4 g・L<SUP>-1</SUP>, a H₂O₂ dosage of 196 mmol・L<SUP>-1</SUP>, a quinoline concentration of 100 mg・L<SUP>-1</SUP> and a temperature of 75°C, the removal of quinoline and total organic carbon (TOC) reaches 99.5% and 87.2% in 65 min, respectively. Furthermore, the copper sulfate-driven homogeneous Fenton system exhibits a superior adaptability to pH in the range of 3.8 to 8.8. In the degradation of quinoline, ·OH radicals may attack the nitrogen ring and the benzene ring in sequence. The work provides a technical support for the treatment of organic wastewater, and shows promising in practical applications.

CuO-doped Ce for catalytic wet peroxide oxidation degradation of quinoline wastewater under wide pH conditions

Zhaojie Jiao,Xianming Zhang,Haifeng Gong,Donglin He,Hong Yin,Yunqi Liu,Xu Gao 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.105 No.-

This study aimed to treat toxic and refractory organic wastewater, and to address the limitations ofFenton method in treating organic wastewater, that the active components are easy to lose and usuallyoperate at the pH value of 2 3. In the present study, CuCe oxide catalyst was produced through citricacid-assisted complexation. Besides, the structural stability and catalytic wet peroxide oxidation (CWPO)performance of the catalyst after 5 times of application were delved into by characterization. The effectsof catalyst dosage and pH on quinoline removal were ascertained, while the reusability of the catalystwas explored. Moreover, the variations of pH, hydroxyl radical concentration and UV–Vis spectra inthe reaction system were analyzed. The possible degradation pathway and the catalytic mechanism werealso discussed. As suggested from the results, the catalyst exhibited high catalytic activity, structural stabilityand pH adaptability; it also had high CWPO performance for quinoline at the pH from 3.8 to 10.5,and the pH value need not be regulated. Under optimal conditions, 98.1% of quinoline and 86.1% of totalorganic carbon (TOC) were removed. In the CWPO process of quinoline, the OH attacked the nitrogen ringand the benzene ring in sequence.

Characteristics of the Infection of Tilletia laevis Kühn (syn. Tilletia foetida (Wallr.) Liro.) in Compatible Wheat

Zhaoyu Ren,Wei Zhang,Mengke Wang,Haifeng Gao,Huimin Shen,Chunping Wang,Taiguo Liu,Wanquan Chen,Li Gao 한국식물병리학회 2021 Plant Pathology Journal Vol.37 No.5

Tilletia laevis Kühn (syn. Tilletia foetida (Wallr.) Liro.) causes wheat common bunt, which is one of the most devastating plant diseases in the world. Common bunt can result in a reduction of 80% or even a total loss of wheat production. In this study, the characteristics of T. laevis infection in compatible wheat plants were defined based on the combination of scanning electron mi- croscopy, transmission electron microscopy and laser scanning confocal microscopy. We found T. laevis could lead to the abnormal growth of wheat tissues and cells, such as leakage of chloroplasts, deformities, disordered arrangements of mesophyll cells and also thickening of the cell wall of mesophyll cells in leaf tissue. What’s more, T. laevis teliospores were found in the roots, stems, flag leaves, and glumes of infected wheat plants instead of just in the ovaries, as previously reported. The abnormal characteristics caused by T. laevis may be used for early detection of this pathogen instead of molecular markers in addition to providing theoretical insights into T. laevis and wheat interactions for breed- ing of common bunt resistance.

A new method to detect cracks in plate-like structures with though-thickness cracks

Xiang, Jiawei,Nackenhorst, Udo,Wang, Yanxue,Jiang, Yongying,Gao, Haifeng,He, Yumin Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.14 No.3

In this paper, a simple two-step method for structural vibration-based health monitoring for beam-like structures have been extended to plate-like structures with though-thickness cracks. Crack locations and severities of plate-like structures are detected using a hybrid approach. The interval wavelet transform is employed to extract crack singularity locations from mode shape and support vector regression (SVR) is applied to predict crack serviettes form crack severity detection database (the relationship of natural frequencies and crack serviettes) using several natural frequencies as inputs. Of particular interest is the natural frequencies estimation for cracked plate-like structures using Rayleigh quotient. Only the natural frequencies and mode shapes of intact structures are needed to calculate the natural frequencies of cracked plate-like structures using a simple formula. The crack severity detection database can be easily obtained with this formula. The hybrid method is investigated using numerical simulation and its validity of the usage of interval wavelet transform and SVR are addressed.

A new method to detect cracks in plate-like structures with though-thickness cracks

Jiawei Xiang,Yongying Jiang,Udo Nackenhorst,Yanxue Wang,Haifeng Gao,Yumin He 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.14 No.3

In this paper, a simple two-step method for structural vibration-based health monitoring for beam-like structures have been extended to plate-like structures with though-thickness cracks. Crack locations and severities of plate-like structures are detected using a hybrid approach. The interval wavelet transform is employed to extract crack singularity locations from mode shape and support vector regression (SVR) is applied to predict crack serviettes form crack severity detection database (the relationship of natural frequencies and crack serviettes) using several natural frequencies as inputs. Of particular interest is the natural frequencies estimation for cracked plate-like structures using Rayleigh quotient. Only the natural frequencies and mode shapes of intact structures are needed to calculate the natural frequencies of cracked plate-like structures using a simple formula. The crack severity detection database can be easily obtained with this formula. The hybrid method is investigated using numerical simulation and its validity of the usage of interval wavelet transform and SVR are addressed.