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放牧和刈割对内蒙古典型草原土壤可提取碳和氮的影响

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应用生态学报 2017年第10期28卷 3235-3242页

作者：顿沙沙曹继容贾秀庞爽中国科学院植物研究所植被与环境变化国家重点实验室北京100093 中国科学院大学北京100049

依托内蒙古典型草原的长期野外放牧控制试验,探讨了放牧和刈割对土壤有机碳、全氮、可提取碳和氮、微生物生物量碳和氮的影响.结果表明:放牧使可提取有机碳降低11.4%~37.1%,而刈割使可提取有机碳升高5.8%.放牧和刈割分别使可提取氮升高1... 详细信息

依托内蒙古典型草原的长期野外放牧控制试验,探讨了放牧和刈割对土壤有机碳、全氮、可提取碳和氮、微生物生物量碳和氮的影响.结果表明:放牧使可提取有机碳降低11.4%~37.1%,而刈割使可提取有机碳升高5.8%.放牧和刈割分别使可提取氮升高10%~340%和10%~240%.放牧强度不高于6.0 sheep·hm^(-2)的条件下有利于维持甚至增加微生物生物量碳,而重度放牧(7.5和9.0 sheep·hm^(-2))则减少微生物生物量碳.刈割处理下微生物生物量碳和氮分别升高31.0%和9.8%.通径分析表明,放牧处理下微生物生物量碳的主要影响因素是有机碳、可提取全氮和全氮,其中直接影响因素是有机碳和可提取全氮;微生物生物量氮的主要影响因素是土壤pH、可提取有机碳、有机碳和可提取全氮,其中直接影响因素是有机碳和可提取全氮.刈割及轻度和中度放牧有利于维持或改善土壤功能,重度放牧将引起土壤退化.

关键词：放牧刈割可提取碳可提取氮微生物量

Erratum to:Emission characteristics of hazardous components in municipal solid waste incinerator residual ash

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2015年第7期16卷 596-596页

作者： Xiao-dong LI Yong REN sha-sha ji Xia-li HOU Tong CHEN Sheng-yong LU jian-hua YAN State Key Laboratory of Clean Energy Utilization Zhejiang University

Erratum to:J Zhejiang Univ-Sci A(Appl Phys&Eng)2015 16(4):316-325doi:10.1631/jzus.A1400142The original version of this article unfortunately contained some *** p.318,the column of "Pore size(nm)" in Table 2 was incorrect,and the correct unit is ? instead of *** p.322,the numerical values of metal concentrations in the test were incorrectly used,because one batch of the detection values was incorrectly used instead of the average values.

关键词： In nm Erratum to

Management of CO_(2) in a tomato greenhouse using WSN and BPNN techniques

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International Journal of Agricultural and Biological Engineering 2015年第4期8卷 43-51页

作者： Li Ting Zhang Man ji Yuhan sha sha jiang Yiqiong Li Minzan Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of EducationCollege of Information and Electrical EngineeringChina Agriculture UniversityBeijing 100083China

Rational management of CO_(2) can improve the net photosynthetic rate of plants,thereby improving crop yield and *** order to precisely manage CO_(2) in a greenhouse,a wireless sensor network(WSN)system was developed to monitor greenhouse environmental parameters in real time,including air temperature,humidity,CO_(2) concentration,soil temperature,soil moisture,and light *** WSN system includes several sensor nodes,a gateway node,and remote management *** sensor nodes can collect 0-5 V and 4-20 mA analog signals and universal asynchronous receiver/transmitter(UART)*** gateway node can process and transmit the data and commands between sensor nodes and remote management *** remote management software provides a friendly interface between user and *** can inquire about real-time data,and set the parameters of the *** photosynthetic rate of tomato plants were studied in the flowering stage.A LI-6400XT portable photosynthesis analyzer was used to measure the photosynthetic rates of the tomato plants,and the environmental parameters of leaves were controlled according to the presetting *** photosynthetic rate prediction model of a single leaf was established based on a back propagation neural network(BPNN).The environmental parameters were used as input neurons after being processed by principal component analysis(PCA),and the photosynthetic rate was taken as the output *** performance of the prediction model was evaluated,and the results showed that the correlation coefficient between the simulated and observed data sets was 0.9899,and root-mean-square error(RMSE)was ***,when different CO_(2) concentrations were selected as the input to predict the photosynthetic rate,the simulated and observed data showed the same *** to the above analysis,it was concluded that the model can be used for quantitative regulation of CO_(2) for tomato plants in greenhouses.

关键词： WSN ZigBee greenhouse information photosynthetic rate CO_(2)fertilization

Universality of an improved photosynthesis prediction model based on PSO-SVM at all growth stages of tomato

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International Journal of Agricultural and Biological Engineering 2017年第2期10卷 63-73页

作者： Li Ting ji Yuhan Zhang Man sha sha Li Minzan Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of EducationChina Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Information Acquisition Technology Ministry of AgricultureChina Agriculture UniversityBeijing 100083China Beijing Research Institute of Uranium Geology Beijing 100029China

CO_(2)concentration is an environmental factor affecting photosynthesis and consequently the yield and quality of *** this study,a photosynthesis prediction model for the entire growth stage of tomatoes was constructed to elevate CO_(2)level on the basis of crop requirements and to evaluate the effect of CO_(2)elevation on leaf *** effect of CO_(2)enrichment on tomato photosynthesis was investigated using two CO_(2)enrichment treatments at the entire growth stage.A wireless sensor network-based environmental monitoring system was used for the real-time monitoring of environmental factors,and the LI-6400XT portable photosynthesis system was used to measure the net photosynthetic rate of tomato *** input variables for the model,environmental factors were uniformly preprocessed using independent component ***,the photosynthesis prediction model for the entire growth stage was established on the basis of the support vector machine(SVM)*** particle swarm optimization(PSO)was also used to search for the best parameters c and g of ***,the relationship between CO_(2)concentration and photosynthetic rate under varying light intensities was predicted using the established model,which can determine CO_(2)saturation points at the various growth *** determination coefficients between the simulated and observed data sets for the three growth stages were 0.96,0.96,and 0.94 with the improved PSO-SVM and 0.89,0.87,and 0.86 with the original *** results indicate that the improved PSO-SVM exhibits a high prediction *** study provides a basis for the precise regulation of CO_(2)enrichment in greenhouses.

关键词： photosynthesis greenhouse tomato CO2 enrichment photosynthesis prediction model wireless sensor network environmental monitoring system

PLA_(2) mediates the innate immune response in Asian corn borer, Ostrinia furnacalis

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Insect Science 2022年第1期29卷 245-258页

作者： jia-Yue ji Zhao-Hua Yin sha-sha Zhang Dong-Xu Shen Chun-Ju An Department of Entomology College of Plant ProtectionChina Agricultural UniversityBeijing100193China jiangsu Key Laboratory of Sericutural Biology and Biotechnology School of BiotechnologyJiangsu University of Science and TechnologyZhenjiangJiangsu212018China Key Laboratory of Silkworm and Mulberry Genetic Improvement Ministry of Agriculture and Rural AffairsSericultural Research InstituteChinese Academy of Agricultural SciencesZhenjiangJiangsu212018China

The eicosanoid signaling pathway mediates insect immune reactions to a wide range of stimuli. This pathway begins with the biosynthesis of arachidonic acid (AA) from the hydrolysis of phospholipids catalyzed by phospholipase A_(2) (PLA_(2)). We report here that the PLA_(2) inhibitor, dexamethasone (DEX), impaired the innate immune response including nodulation, encapsulation, and melanization in Ostrinia furnacalis larvae, while AA partially reversed these effects of DEX. We cloned a full-length complementary DNA encoding a PLA_(2), designated as OfsPLA_(2), from O. furnacalis. The open reading frame of OfsPLA_(2) encodes a 195-amino acid residue protein with a 22-residue signal peptide. Sequence alignment analyses indicated that O. furnacalis PLA_(2) might be a Group III secretory PLA_(2). The highest transcript levels of OfsPLA_(2) were detected in the fat body, and its transcript levels increased dramatically after infection with Escherichia coli, Micrococcus luteus, or Beauveria bassiana. Recombinant OfsPLA_(2) significantly induced prophenoloxidase (PPO) activation in larval hemolymph in the presence of Ca^(2+) and encapsulation of agarose beads. Injection of recombinant OfsPLA_(2) into larvae resulted in increased transcript levels of attacin, defencin, and moricin-3 genes. Our results demonstrate the involvement of the eicosanoid signaling pathway in the innate immune response of O. furnacalis larvae and provide new information about the roles of O. furnacalis secretory PLA_(2) in activating PPO and antimicrobial peptide production.

关键词： eicosanoid signal pathway innate immune response Ostrinia furnacalis phospholipase A_(2)(PLA_(2))

Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method

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International Journal of Automation and computing 2013年第6期10卷 525-533页

作者： Fei Yan Yi-sha Liu ji-Zhong Xiao School of Control Science and Engineering Dalian University of Technology School of Information Science and Technology Dalian Maritime University Department of Electrical and Engineering The City CollegeCity University of New York

This paper presents a 3D path planning algorithm for an unmanned aerial vehicle （UAV） in complex environments. In this algorithm, the environments are divided into voxels by octree algorithm. In order to satisfy the safety requirement of the UAV, free space is represented by free voxels, which have enough space margin for the UAV to pass through. A bounding box array is created in the whole 3D space to evaluate the free voxel connectivity. The probabilistic roadmap method （PRM） is improved by random sampling in the bounding box array to ensure a more efficient distribution of roadmap nodes in 3D space. According to the connectivity evaluation, the roadmap is used to plan a feasible path by using A＊ algorithm. Experimental results indicate that the proposed algorithm is valid in complex 3D environments.

关键词： 3D path planning complex environment unmanned aerial vehicle (UAV) probabilistic roadmap methed (PRM) octree.

Development of a key-variable-based parallel HVAC energy predictive model

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Building Simulation 2022年第7期15卷 1193-1208页

作者： Huajing sha Peng Xu Chengchu Yan Ying ji Kenan Zhou Feiran Chen Terminus(shanghai)Information Technology Co. LTDShanghai 200062China Deportment of Mechanical and Energy Engineering Tongji UniversityShanghai 201804China Department of Urban Construction Nanjing Tech UniversityNanjing 211816China Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology Beijing University of TechnologyBeijing00124China China Southern Power Grid Guangdong Foshan Power Supply Bureau GuangdongChina

Building heating,ventilation,and air conditioning(HVAC)systems consume large amounts of energy,and precise energy prediction is necessary for developing various energy-efficiency *** prediction using data-driven models has received increasing attention in recent ***,two types of driven models are used for building energy prediction:sequential and parallel predictive *** latter uses the historical energy of the target building as training data to predict future energy ***,for newly built buildings or buildings without historical data records,the energy can be estimated using the parallel model,which employs the energy data of similar buildings as training *** second predictive model is seldom studied because the model input feature is difficult to identify and ***,we propose a novel key-variable-based parallel HVAC energy predictive *** model has informative input features(including meteorological data,occupancy activity,and key variables representing building and system characteristics)and a simple architecture.A general key-variable screening toolkit which was more versatile and flexible than present parametric analysis tools was developed to facilitate the selection of key variables for the parallel HVAC energy predictive model.A case study is conducted to screen the key variables of hotel buildings in eastern China,based on which a parallel chiller energy predictive model is trained and *** average cross-test error measured in terms of the coefficient of variation of the root mean square error(CV-RMSE)and normalized mean bias error(NMBE)of the parallel chiller energy predictive model is approximately 16%and 8.3%,which is acceptable for energy prediction without using historical energy data of the target building.

关键词： HVAC energy prediction data-driven model sequential predictive model parallel predictive model key-variable screening sensitivity analysis

A proof of image Euler Number formula

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Science in China(Series F) 2006年第3期49卷 364-371页

作者： LIN Xiaozhu sha Yun ji Junwei WANG Yanmin Information Engineering School Beijing Institute of Petrochemical Technology Beijing 102617 China

Euler Number is one of the most important characteristics in topology. In twodimension digital images, the Euler characteristic is locally computable. The form of Euler Number formula is different under 4-connected and 8-connected conditions. Based on the definition of the Foreground Segment and Neighbor Number, a formula of the Euler Number computing is proposed and is proved in this paper. It is a new idea to locally compute Euler Number of 2D image.

关键词： topology Euler Number binary image 4-connected 8-connected.

Genetic factors contributing to human primary ciliary dyskinesia and male infertility

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Asian Journal of Andrology 2017年第5期19卷 515-520页

作者： Zhi-Yong ji Yan-Wei sha Lu Ding Ping Li The Center for Reproductive Medicine Xiamen Maternity and Child Care Hospital No. 10 Zhenhai Road Xiamen China

Primary ciliary dyskinesia （PCD） is an autosomal-recessive disorder resulting from the loss of normal ciliary function. Symptoms include neonatal respiratory distress, chronic sinusitis, bronchiectasis, situs inversus, and infertility. However, only 15 PCD-associated genes have been identified to cause male infertility to date. Owing to the genetic heterogeneity of PCD, comprehensive molecular genetic testing is not considered the standard of care. Here, we provide an update of the progress on the identification of genetic factors related to PCD associated with male infertility, summarizing the underlying molecular mechanisms, and discuss the clinical implications of these findings. Further research in this field will impact the diagnostic strategy for male infertility, enabling clinicians to provide patients with informed genetic counseling, and help to adopt the best course of treatment for developing directly targeted personalized medicine.

关键词： genetic factors Kartagener syndrome male infertility primary ciliary dyskinesia