Improving egg quality is one of the main objectives of the poultry industry. The objective of this study was to investigate the effects of dietary oregano oil supplementation with different concentrations on the egg quality, intestinal morphology and cecal microbiome of late-phase laying hens. A total of 300 55-week-old Snowy white laying hens were randomly divided into five groups and fed a basal diet (control) or basal diets supplemented with oregano oil at 25, 50, 75 and 100 mg/kg (O25, O50, O75 and O100) over a 100-day period. Compared with the control group, eggshell thickness and eggshell weight were increased significantly in eggs when oregano oil was added (p < 0.05). The highest content of polyunsaturated fatty acids (PUFAs) and C18:2n6c was observed in yolks with 25 mg/kg supplement among 5 groups (p < 0.05). The highest average content of riboflavin in egg yolk and thiamine in egg white was observed in the O25 group (p < 0.05). When the supplemental levels of oregano oil were 25 mg/kg and 50 mg/kg, the selenium and phosphorus content in the egg was significantly increased (p < 0.05). The ratio of villus height to crypt depth (V/C) and villus height of the small intestine was significantly increased compared with the chickens fed the basal diet (p < 0.05). Compared with the control group, the abundance of Megamonas was increased in the O50 group (p < 0.05). The unclassified_o__Bacteroidales in the O25 group were significantly higher than those in the other four groups (p < 0.05). These differential microorganisms were significantly correlated with egg quality characteristics. Dietary supplementation of oregano oil can significantly improve egg quality via gut microbiota alteration in laying hens.

Yolk

Origanum

Cecum

10.3390/ani14223235

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Levels and Distribution of HCHs in Sediment from Lianhuashan Reservoir in Dongguan City

International Conference on E-Product E-Service and E-Entertainment (2010)

Weifeng Yao Jingyu Huang Yan Wang

Sediment was collected from Lianhuashan Reservoir in Dongguan city. The method of analyzing HCHs by GC-ECD was established. Recovery rate was between 91.40% to 106.33%, standard deviation was 0.0356 to 0.0648, relative standard deviation was 0.0358 to 0.0651. The results show that the detectable ratio of HCHs were high, especially in the water deep area, with various concentrations of HCHs in different site. Compare with samples in Chengdu Economic zone, the concentrations of HCHs in the reservoir were low. In the isomers of HCHs, the ratio of α-HCH/γ-HCH was 1.35, it was nearly 1, it shows that the linden was used in the past. The pollutant source was from agricultural activity.

Relative standard deviation

10.1109/iceee.2010.5660913

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A PVT-Robust Transimpedance Amplifier for Ultra-Low Current Sensing

2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT) (2020)

Huaping Chen Lei Zhang Yan Wang

This paper presents a high sensitive current read-out frontend for ultra-low current sensing application. The circuit consists of a transimpedance amplifier (TIA) for current detecting and a programmable gain amplifier (PGA) for gain and bandwidth controlling. The TIA based on an integrator followed by a differentiator configuration, adopts an improved DC servo loop, which can prevent the offset current of input signal from saturating the output voltage and achieve PVT robust stability as well. The chip is fully integrated in a 65-nm CMOS technology with a 30mW power consumption from a 1.8V supply, and a gain of 147~211dB. Under all PVT corners and working condition, the integrated input-referred current noise of the circuit is less than 15pA _RMS within 1MHz integration bandwidths.

Transimpedance amplifier

Differentiator

Current mirror

Current-feedback operational amplifier

Instrumentation amplifier

10.1109/icsict49897.2020.9278389

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Noise reducing and image processing for debonds quantitative identification by infrared thermography

Yang Zheng Wei Zhang Tian Gan Yuan Song Ren Bing Li

An adhesive structure specimen, fabricated with several back-drilled flat holes of different size to simulate debond defects, was inspected by infrared thermography. Three larger defects could be seen directly by the raw images. However, two smaller defects could not be detected by the raw images because of high noise. The noise contributed by the variation of surface emissivity, was eliminated to some extent by coating the testing surface with uniform emissivity black paint in the experiment. It is found that the surface temperature changes with time satisfying exponential form. Therefore, a robust reducing noise method - exponential fitting of every pixel as a function of time, was presented to eliminate unwanted temporal noise in the raw images. Spatial noise was reduced by the combination some standard filtering algorithms e.g. average filtering with high-pass filtering, which made the invisible defect be detected. Finally, image segmentation algorithms based on watershed and 3D tomogram were used to visualize the defects, and defect's parameters were also estimated by the image after segmentation. The results show that the methods used in this work could improve defect detectability and achieve defect quantitative identification.

Thermography

Image noise

10.1109/iccet.2010.5485708

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A Study on the Predictive Maintenance Method of Fully Mechanized Mining Equipment based on Cost and Time Factors

Research Square (Research Square) (2021)

Xiangang Cao Tianbo Xu Youjun Zhao Jiangbin Zhao Yan Wang

Abstract In view of the problems of excessive maintenance and insufficient utilization of equipment service life caused by preventive maintenance of fully mechanized mining equipment with fixed cycle, a predictive maintenance method is proposed. Firstly, based on Weibull distribution function and evolution rules of equipment decay, the evolution model of equipment failure rate is established; Then, the single-objective decision-making models of equipment maintenance cost rate and maintenance downtime rate are established respectively. On this basis, the multi-objective predictive maintenance planning model of fully mechanized mining equipment with comprehensive cost and time factors is established, and the optimal predictive maintenance cycle planning sequence is obtained. Combined with the coal production continuation plan, this paper puts forward a method to determine the optimal maintenance time by making suitable choices between advance maintenance and delay maintenance. The result confirms the effectiveness and superiority of the proposed method.

Downtime

Planned maintenance

Corrective maintenance

Proactive maintenance

Optimal maintenance

10.21203/rs.3.rs-515338/v1

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Citations (1)

An Artificial Physics Optimization Algorithm for Multi-Objective Problems Based on Virtual Force Sorting Proceedings

Lecture notes in computer science (2010)

Yan Wang Jianchao Zeng Ying Tan

Benchmark (surveying)

10.1007/978-3-642-17563-3_72

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Citations (4)

Adaptive human-like control system design of a lower limb robot using minimum inertial parameters

International Robotics & Automation Journal (2019)

Aihui Wang Jun Zhang Xia Wu Xiaoyu Chen Yan Wang

In this paper, aiming at the comfort problem of wearing rehabilitation training robot for different patients with lower extremity dyskinesia, the real human gait data as the reference control input is proposed, and a human-like control method based on the minimum inertia parameter with the comfort of a human wearable robot as the objective function is designed.To realize the real-time tracking of the reference trajectory by the robot trajectory of lower limb rehabilitation training, the NOKOV motion capture system is used to collect human gait data.The Lagrange method is used to establish the dynamics model of the single leg of the lower limb rehabilitation training robot.Based on the minimum inertia parameters, the adaptive controller with comfort as the objective function is designed.Finally, the effectiveness of this method is verified by simulation based on experimental data.

10.15406/iratj.2019.05.00192

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Evaluation of the detoxification effect and toxicity mechanism of Fenton process for pulping wastewater treatment

Journal of Water Process Engineering (2025)

Fei Di Donghui Han Jinquan Wan Guang Wang Yan Wang

Detoxification

10.1016/j.jwpe.2025.107041

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