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| 1 | Assessment of nomadic rice-duck complex ecosystem on energy and economy显示文摘Introduction:Modern intensive rice production has brought a large amount of environmental pollution and do not guarantee the safety of rice quality.Thus,to improve the farmer's rice production model to reduce agro-chemicals is of great importance to decrease pollution and to guarantee the security of food quality.Here,our experiments illustrated that nomadic rice-duck complex ecosystem(RD)could reduce energy input and increase both energy output and the values of the product safety index based on energy(PSI).Results:According to the results of our experiments,RD and rice monoculture production system(RM)were-0.6 and-0.78,respectively,which indicated that the safety potential of products in RD was higher than that of RM.Protein yield based on RD was significantly higher than that of RM.The output/input,gross income,and net income of RD were 15.26%,39.51%,and 44.80%,respectively,higher than that of RM;the data suggest that the economic benefits of RD were greater than that of RM.Conclusions:Consequently,as an intermediate-type technology,RD could become a feasible alternative that could reduce agro-chemical application rate without decreasing rice yield and increasing labor intensity.Furthermore,as an inheritance and development of the Chinese farming culture,RD is a classic Chinese farming technology withstanding more than 700 years of tests. | Huabin Zheng Huang Huang Diqin Li Xumeng Li Zhiqiang Fu Can Chen | 2014 | Ecological Processes2014，3，1： | 5 |
| 2 | A survey of network anomaly visualization显示文摘Network anomaly analysis is an emerging subtopic of network security. Network anomaly refers to the unusual behavior of network devices or suspicious network status. A number of intelligent visual tools are developed to enhance the ability of network security analysts in understanding the original data, ultimately solving network security problems. This paper surveys current progress and trends in network anomaly visualization. By providing an overview of network anomaly data, visualization tasks, and applications, we further elaborate on existing methods to depict various data features of network alerts, anomalous traffic, and attack patterns data. Directions for future studies are outlined at the end of this paper. | Tianye ZHANG Xumeng WANG Zongzhuang LI Fangzhou GUO Yuxin MA Wei CHEN | 2017 | Science China(Information Sciences)2017，60，12： | 3 |
| 3 | Real-time monitoring of optimum timing for harvesting fresh tea leaves based on machine vision显示文摘The harvesting time of fresh tea leaves has a significant impact on product yield and quality.The aim of this study was to propose a method for real-time monitoring of the optimum harvesting time for picking fresh tea leaves based on machine vision.Firstly,the shapes of fresh tea leaves were distinguished from RGB images of the tea-tree canopy after graying with the improved B-G algorithm,filtering with a median filter algorithm,binary processing with the Otsu algorithm,and noise reduction and edge smoothing using open and close operations.Then the leaf characteristics,such as leaf area index,average length,and leaf identification index,were calculated.Based on these,the Bayesian discriminant principle and method were used to construct a discriminant model for fresh tea-leaf collection status.When this method was applied to a RGB tea-tree canopy image acquired at 45°shooting angle,the fresh tea-leaf recognition rate was 90.3%,and the accuracy for fresh tea-leaf harvesting status was 98%by cross validation.Hence,this method provides the basic conditions for future tea-plantation operation and management using information technology,automation,and intelligent systems. | Liang Zhang Hongduo Zhang Yedong Chen Sihui Dai Xumeng Li Kenji Imou Zhonghua Liu Ming Li | 2019 | International Journal of Agricultural and Biological Engineering2019，12，1： | 2 |
| 4 | Reliable ferroelectricity down to cryogenic temperature in wakeup free Hf_(0.5)Zr_(0.5)O_(2)thin films by thermal atomic layer deposition显示文摘The performance and reliability of ferroelectric thin films at temperatures around a few Kelvin are critical for their application in cryo-electronics.In this work,TiN/Hf_(0.5)Zr_(0.5)O_(2)/TiN capacitors that are free from the wake-up effect are investigated systematically from room temperature(300 K)to cryogenic temperature(30 K).We observe a consistent decrease in permittivity(εr)and a progressive increase in coercive electric field(Ec)as temperatures decrease.Our investigation reveals exceptional stability in the double remnant polarization(2P_(r))of our ferroelectric thin films across a wide temperature range.Specifically,at 30 K,a 2P_(r)of 36μC/cm^(2)under an applied electric field of 3.0 MV/cm is achieved.Moreover,we observed a reduced fatigue effect at 30 K in comparison to 300 K.The stable ferroelectric properties and endurance characteristics demonstrate the feasibility of utilizing HfO_(2)based ferroelectric thin films for cryo-electronics applications. | Shuyu Wu Rongrong Cao Hao Jiang Yu Li Xumeng Zhang Yang Yang Yan Wang Yingfen Wei Qi Liu | 2024 | Journal of Semiconductors2024，45，3： | 0 |
| 5 | Leaf shape simulation of castor bean and its application in nondestructive leaf area estimation显示文摘The leaf shape and leaf area measurement are crucial in plant growth modeling.The castor bean leaf is large,palm-shaped with multiple clefts.The leaf shape simulation and leaf area estimation were less studied.The circular model and nonrectangular hyperbolic model were developed to describe the standard leaf shape of castor bean in this study,providing a model for simulating the leaf shape and a nondestructive way for estimating the leaf area respectively.In addition,a formula was established to estimate the leaf area by the parameter of the standard leaf shape of castor bean.Based on validation results,the circular model fits the landmarks and nonrectangular hyperbolic model fits the lobe margins very well.The leaf area was accurately estimated by using the established formula.This study could provide a theoretical reference for leaf visualization,a nondestructive and easy way to estimate the leaf area for other complex leaves with multiple lobes. | Hailin Wei Xumeng Li Ming Li Huang Huang | 2019 | International Journal of Agricultural and Biological Engineering2019，12，4： | 0 |
| 6 | Key progresses of MOE key laboratory of macromolecular synthesis and functionalization in 2022显示文摘In 2022,The MOE Key Laboratory of Macromolecular Synthesis and Functionalization in Zhejiang University had achieved several important results.First,a series of well-defined dinuclear organoboron catalysts were developed to precisely control the enchainment of ether and carbonate segments during the copolymerization of CO_(2)and epoxides.Second,polyester had been synthesized through cationic copolymerization of cyclic anhydride.Third,ring-opening polymerization of carbon dioxide based valerolactone had been achieved,revealing the prospect of 3-ethylidene-6-vinyltetrahydro-2H-pyran-2-one(EVL)in utilizing CO_(2)and synthesizing functional polymers.Fourth,machine learning methods have been applied to biomaterial research,enabling high-throughput screening of functional biomaterial surfaces for implantable devices,and searching for potent antimicrobial peptides in whole combinatorial peptide libraries.Fifth,methods of characterization of biomacromolecule RNA transcription and manipulation of nucleoside modification were developed.Sixth,artificial enzymes-armed Bifidobacterium Longum probiotics were established to tune down gut inflammation.Seventh,three-dimensional(3D)printing technologies were used to engineer tough supramolecular hydrogels.Eighth,hydroplastic foaming graphene frameworks for acoustic and conductive polymer composites were provided for application.Ninth,aggregate photophysics about the nature of through-space interactions(TSIs)and manipulating their strength in small molecules with non-conjugated structure had been elucidated.Tenth,the forming mechanism of a newfound nested texture in poly(L-lactic acid)(PLLA)spherulitic films had been revealed.Finally,the isotropically dyeing mechanism of KDP single crystals grown from hydrogels have been explored.The related works are reviewed in this paper. | Xumeng Deng Kaihao Chen Kai Pang Xiaoting Liu Minsong Gao Jie Ren Guanwen Yang Guangpeng Wu Chengjian Zhang Xufeng Ni Peng Zhang Jian Ji Jianzhao Liu Zhengwei Mao Ziliang Wu Zhen Xu Haoke Zhang Hanying Li | 2024 | Chinese Chemical Letters2024，35，3： | 0 |
| 7 | Advances in Research of Relationship between Morphological Structure and Yield of Castor显示文摘Castor is a cash crop with very wide adaptability in China,and its yield is closely related with its morphological structure.With reference to the research on the relationship between the morphological structure and yield of main cash crops such as rice,wheat and maize,this paper made a review of advances in the research of the relationship between castor variety characteristics,habitat conditions,dry matter distribution,cultivation measures.Finally,it present the research direction,content and route of the relationship between the morphological structure and yield of the castor in the future. | Hailin WEI Xumeng LI Xiaohui WANG Jun YANG Huang HUANG | 2020 | Medicinal Plant2020，11，5： | 0 |
| 8 | Electroencephalography microstates as novel functional biomarkers for insomnia disorder显示文摘Background Insomnia disorder(ID)is one of the most common mental disorders.Research on ID focuses on exploring its mechanism of disease,novel treatments and treatment outcome prediction.An emerging technique in this field is the use of electroencephalography(EEG)microstates,which offer a new method of EEG feature extraction that incorporates information from both temporal and 6/spatial dimensions.Aims To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation(rTMS)for ID treatment and use baseline microstate metrics for the prediction of its efficacy.Methods This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls(GSC).Their resting-state EEG microstates were analysed,and the Pittsburgh Sleep Quality Index(PSQI)and polysomnography(PSG)were collected to assess sleep quality.The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID.Furthermore,in an independent group of 90 patients with ID who received rTMS treatment,patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate.Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment.Results The class D microstate was less frequent and contribute in patients with ID,and these abnormalities were associated with sleep onset latency as measured by PSG.Additinally,the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment.The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS,with an accuracy of 80.13%.Conclusions Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID.In addition,we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of patients with ID.This finding carries great practical significance for the selection of therapeutic options for patients with ID. | Yongjian Guo Xumeng Zhao Xiaoyang Liu Jiayi Liu Yan Li Lirong Yue Fulai Yuan Yifei Zhu Xiaona Sheng Dahua Yu Kai Yuan | 2023 | General Psychiatry2023，36，6： | 0 |
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