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| 1 | Management of CO_(2) in a tomato greenhouse using WSN and BPNN techniques显示文摘Rational management of CO_(2) can improve the net photosynthetic rate of plants,thereby improving crop yield and quality.In 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 intensity.The WSN system includes several sensor nodes,a gateway node,and remote management software.The sensor nodes can collect 0-5 V and 4-20 mA analog signals and universal asynchronous receiver/transmitter(UART)data.The gateway node can process and transmit the data and commands between sensor nodes and remote management software.The remote management software provides a friendly interface between user and machine.Users can inquire about real-time data,and set the parameters of the WSN.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 rule.The 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 neuron.The 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 1.4686.Furthermore,when different CO_(2) concentrations were selected as the input to predict the photosynthetic rate,the simulated and observed data showed the same trend.According to the above analysis,it was concluded that the model can be used for quantitative regulation of CO_(2) for tomato plants in greenhouses. | Li Ting Zhang Man Ji Yuhan Sha Sha Jiang Yiqiong Li Minzan | 2015 | International Journal of Agricultural and Biological Engineering2015，8，4： | 6 |
| 2 | An improved method for prediction of tomato photosynthetic rate based on WSN in greenhouse显示文摘In order to improve the efficiency of CO2 fertilizer and promote high quality and yield,it is necessary to precisely control CO2 fertilizer by wireless sensor network based on a model of photosynthetic rate prediction in greenhouse.An experiment was carried out on tomato plants in greenhouse for photosynthetic rate prediction modeling combined rough set and BP neural network.In data acquiring phase,plants growth information and greenhouse environmental information that may have influences on photosynthetic rate,including plant height,stem diameter,the number of leaves and chlorophyll content of functional leaves,air temperature,air humidity,light intensity,CO2 concentration and soil moisture,which were measured.And LI-6400XT photosynthetic rate instrument was used for obtaining net photosynthetic rate of functional leaf.After preliminary processing,135 sets of data were obtained.And twelve of them were used for model test of neural network,while the others were used for modeling.All of the data were normalized before modeling.Two models were built to predict photosynthetic rate based on BP neural network.One had total nine input parameters.The other had six input parameters,chlorophyll content,air temperature,air humidity,light intensity,CO2 concentration,and soil moisture,which were reducted from original nine based on attributes reduction theory of rough set.Both two models have one output parameter,the net photosynthetic rate of single leaf.The genetic algorithm was adopted to reduct attributes.Since continuous data cannot be processed by rough set,the K-mean cluster method was used to discretize the data of nine input parameters before attributes reduction.The prediction results of two models showed that the model with six input parameters had a mean absolute error of 0.6958,an average relative error of 7.28%,a root-mean-square error of 0.7428,and a correlation coefficient of 0.9964,while the other model respectively had 0.4026,4.53%,0.3245 and 0.9965,which proved that the model with minimum attributes had higher prediction accuracy.On the other hand,the number of iterations was used to represent the neural network train speed.The result showed that the model with six input parameters had an iteration of 544,while the other had 1038.Hence,the reduction model was applied to controlling CO2 concentration.The net photosynthetic rates at different CO2 concentrations were predicted at a certain condition.The results had the same curve trend with theory analysis,and a high prediction accuracy,which proved that the model was useful for CO2 concentration control. | Ji Yuhan Jiang Yiqiong Li Ting Zhang Man Sha Sha Li Minzan | 2016 | International Journal of Agricultural and Biological Engineering2016，9，1： | 6 |
| 3 | Universality of an improved photosynthesis prediction model based on PSO-SVM at all growth stages of tomato显示文摘CO_(2)concentration is an environmental factor affecting photosynthesis and consequently the yield and quality of tomatoes.In 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 photosynthesis.The 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 leaf.As input variables for the model,environmental factors were uniformly preprocessed using independent component analysis.Moreover,the photosynthesis prediction model for the entire growth stage was established on the basis of the support vector machine(SVM)model.Improved particle swarm optimization(PSO)was also used to search for the best parameters c and g of SVM.Furthermore,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 stages.The 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 PSO-SVM.The results indicate that the improved PSO-SVM exhibits a high prediction accuracy.The study provides a basis for the precise regulation of CO_(2)enrichment in greenhouses. | Li Ting Ji Yuhan Zhang Man Sha Sha Li Minzan | 2017 | International Journal of Agricultural and Biological Engineering2017，10，2： | 2 |
| 4 | Hybrid spiking neural network for sleep electroencephalogram signals显示文摘Sleep staging is important for assessing sleep quality.So far,many scholars have tried to achieve automatic sleep staging by using neural networks.However,most researchers only perform sleep staging based on artificial neural networks and their variant models,which can not fully mine and model the bio-electrical signals.In this paper,we propose a new hybrid spiking neural network(HSNN)model for automatic sleep staging.Specifically,we use a spiking neural network to classify sleep EEG signals.In addition,we adopt a hybrid macro/micro back propagation algorithm,aiming to overcome the limitations of existing error back propagation methods for spiking neural network.In order to verify the effectiveness of HSNN,we evaluate it on the public sleep dataset ISRUC-SLEEP(Institute of Systems and Robotics,University of Coimbra-Sleep).The results show that the proposed method achieves satisfactory performance on ISRUC-SLEEP. | Ziyu JIA Junyu JI Xinliang ZHOU Yuhan ZHOU | 2022 | Science China(Information Sciences)2022，65，4： | 2 |
| 5 | Biomarkers of aging显示文摘Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological status.Although a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly characterized.An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this need.Here,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory factors.To fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant. | Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve Sun Yu Sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu | 2023 | Science China(Life Sciences)2023，66，5： | 2 |
| 6 | Heterointerface engineering in hierarchical assembly of the Co/Co(OH)_(2)@carbon nanosheets composites for wideband microwave absorption显示文摘Heterogeneous interface engineering strategy is an effective method to optimize electromagnetic functional materials.However,the mechanism of heterogeneous interfaces on microwave absorption is still unclear.In this study,abundant heterointerfaces were customized in hierarchical structures via a collaborative strategy of lyophilization and hard templates.The impressive electromagnetic heterostructures and strong interfacial polarization were realized on the zero-dimensional(0D)hexagonal close-packed(hcp)-face-centered cubic(fcc)Co/two-dimensional(2D)Co(OH)_(2)nanosheets@three-dimensional(3D)porous carbon nanosheets(Co/Co(OH)_(2)@PCN).By controlling the carbonization temperature,the electromagnetic parameters were further adjusted to broaden the effective absorption bandwidth(EAB).Accordingly,the EAB of these absorbers were almost greater than 6 GHz(covering the entire Ku-band)in the thickness range of 2.0–2.2 mm except the sample S-1.0-800.As far as to the S-0.8-700 achieved an EAB up to 7.1 GHz at 2.2 mm and the minimum reflection loss(RLmin)value was−25.8 dB.Moreover,in the far-field condition,the radar cross section(RCS)of S-0.8-700 can be reduced to 19.6 dB·m^(2).We believe that this work will stimulate interest in interface engineering and provide a direction for achieving efficient absorbing materials. | Yuhan Wu Guodong Wang Xixi Yuan Gang Fang Peng Li Guangbin Ji | 2023 | Nano Research2023，16，2： | 1 |
| 7 | Controllable heterogeneous interfaces and dielectric regulation of hollow raspberry-shaped Fe_(3)O_(4)@rGO hybrids for high-performance electromagnetic wave absorption显示文摘Heterogeneous interface engineering is closely related to the structural design of electromagnetic absorbers;thus,the interface control through structural design is a considerable approach to optimize the electromagnetic wave absorption(EWA)performance.Herein,the 3D hierarchical structure composites composed of two-dimensional reduced graphite oxide(rGO)and hollow raspberry Fe_(3)O_(4) nanoparticles was successfully fabricated by a simple pyrolysis and self-assembly process.This specific structure enriches the characteristics of interface polarization and dipole polarization,which further induces significant EWA behavior.By adjusting the amount of graphite oxide(GO),the complex dielectric constant of the obtained hybrids can be controlled,and the heterointerface can be cleverly adjusted.The minimum reflection loss(RLmin)of the typical products can be up to−73.86 dB at the thickness is only 1.35 mm,and the maximum effective absorption bandwidth(EAB)can reach 5.1 GHz.This work demonstrates that the unique structure and tunable components can fully improve the potential of electromagnetic absorption performance,which provides basic guidance for the heterogeneous interface engineering of efficient electromagnetic functional materials. | Yuhan Wu Shujuan Tan Puyu Liu Yan Zhang Peng Li Guangbin Ji | 2023 | Journal of Materials Science & Technology2023，，20： | 0 |
| 8 | Agar-derived nitrogen-doped porous carbon as anode for construction of cost-effective lithium-ion batteries显示文摘Balancing cost and performance of porous carbon(PC)as anode for lithium-ion battery(LIBs)is the key to effectively promote commercial application.Herein,low-cost N-doped PC(NPC-Ts,T=600,750 and 900°C)were facilely prepared in batches via one-pot pyrolysis of agar with different carbonization temperature.The NPC-750 with specific surface area of 2914 m^(2)/g and N content of 2.84%exhibits an ultrahigh reversible capacity of 1019 mAh/g at 0.1 A/g after 100 cycles and 837 mAh/g at 1 A/g after 500 cycles.Remarkably,the resulting LIBs exhibit an ultrafast charge-discharge feature with a remarkable capacity of 281 mAh/g at 10 A/g and a superlong cycle life with a capacity retention of 87%after 5000 cycles at 10 A/g.Coupling with LiFePO_(4)cathode,the fabricated lithium-ion full cells possess high capacity,excellent rate and cycling performances(125 mAh/g at 100 mA/g,capacity retention of 95%,after 220 cycles),highlighting the practicability of this NPC-750 as the anode materials. | Tong Wang Jingquan Sha Wenwen Wang Yuhan Ji Zhi-Ming Zhang | 2023 | Chinese Chemical Letters2023，34，8： | 0 |
| 9 | Realizing the potential of exploiting human IPSCs and their derivatives in research of Down syndrome显示文摘Down syndrome(DS)is a genetic condition characterized by intellectual disability,delayed brain development,and early onset Alzheimer’s disease.The use of primary neural cells and tissues is important for understanding this disease,but there are ethical and practical issues,including availability from patients and experimental manipulability.Moreover,there are significant genetic and physiological differences between animal models and humans,which limits the translation of the findings in animal studies to humans.Advancements in induced pluripotent stem cells(iPSC)technology have revolutionized DS research by providing a valuable tool for studying the cellular and molecular pathologies associated with DS.Induced pluripotent stem cells derived from cells obtained from DS patients contain the patient’s entire genome including trisomy 21.Trisomic iPSCs as well as their derived cells or organoids can be useful for disease modeling,investigating the molecular mechanisms,and developing potential strategies for treating or alleviating DS.In this review,we focus on the use of iPSCs and their derivatives obtained from DS individuals and healthy humans for DS research.We summarize the findings from the past decade of DS studies using iPSCs and their derivatives.We also discuss studies using iPSC technology to investigate DS-associated genes(e.g.,APP,OLIG1,OLIG2,RUNX1,and DYRK1A)and abnormal phenotypes(e.g.,dysregulated mitochondria and leukemia risk).Lastly,we review the different strategies for mitigating the limitations of iPSCs and their derivatives,for alleviating the phenotypes,and for developing therapies. | YAFEI WANG JIELEI NI YUHAN LIU DINGYING LIAO QIANWEN ZHOU XIAOYANG JI GANG NIU YANXIANG NI | 2023 | BIOCELL2023，47，12： | 0 |
| 10 | The effect of iron on the preservation of organic carbon in marine sediments and its implications for carbon sequestration显示文摘Marine sediments are the most significant reservoir of organic carbon(OC)in Earth′s surface system.Iron,a crucial component of the marine biogeochemical cycle,has a considerable impact on marine ecology and carbon cycling.Understanding the effect of iron on the preservation of OC in marine sediments is essential for comprehending biogeochemical processes of carbon and climate change.This review summarizes the methods for characterizing the content and structure of iron-bound OC and explores the influencing mechanism of iron on OC preservation in marine sediments from two aspects:the selective preservation of OC by reactive iron minerals(iron oxides and iron sulfides)and iron redox processes.The selective preservation of sedimentary OC is influenced by different types of reactive iron minerals,OC reactivity,and functional groups.The iron redox process has dual effects on the preservation and degradation of OC.By considering sedimentary records of iron-bound OC across diverse marine environments,the role of iron in long-term preservation of OC and its significance for carbon sequestration are illustrated.Future research should focus on identifying effective methods for extracting reactive iron,the effect of diverse functional groups and marine sedimentary environments on the selective preservation of OC,and the mediation of microorganisms.Such work will help elucidate the influencing mechanisms of iron on the long-term burial and preservation of OC and explore its potential application in marine carbon sequestration to maximize its role in achieving carbon neutrality. | Limin HU Yuhan JI Bin ZHAO Xiting LIU Jiazong DU Yantao LIANG Peng YAO | 2023 | Science China Earth Sciences2023，66，9： | 0 |
| 11 | SW-Net: A novel few-shot learning approach for disease subtype prediction显示文摘Few-shot learning is becoming more and more popular in many fields,especially in the computer vision field.This inspires us to introduce few-shot learning to the genomic field,which faces a typical few-shot problem because some tasks only have a limited number of samples with high-dimensions.The goal of this study was to investigate the few-shot disease sub-type prediction problem and identify patient subgroups through training on small data.Accurate disease subtype classification allows clinicians to efficiently deliver investigations and interventions in clinical practice.We propose the SW-Net,which simulates the clinical process of extracting the shared knowledge from a range of interrelated tasks and generalizes it to unseen data.Our model is built upon a simple baseline,and we modified it for genomic data.Supportbased initialization for the classifier and transductive fine-tuning techniques were applied in our model to improve prediction accuracy,and an Entropy regularization term on the query set was appended to reduce over-fitting.Moreover,to address the high dimension and high noise issue,we future extended a feature selection module to adaptively select important features and a sample weighting module to prioritize high-confidence samples.Experiments on simulated data and The Cancer Genome Atlas meta-dataset show that our new baseline model gets higher prediction accuracy compared to other competing algorithms. | YUHAN JI YONG LIANG ZIYI YANG NING AI | 2023 | BIOCELL2023，47，3： | 0 |
| 12 | De novo assembly of plant complete genomes显示文摘Plant genomes encode the mysteries of how plants cope with complex environments over long evolutionary histories.Over the past 20 years,rapidly developing technologies have allowed the decoding of hundreds of plant draft or reference genomes.The diversity,polyploidy and heterozygosity of plants make it technically challenging and time-consuming to generate high-quality plant genome assemblies.Recently invented ultra-long read sequencing technologies have achieved a milestone where several plant genomes have been gapless and assembled into telomere to telomere.Telomere-to-telomere(T2T)genome refers to a high-quality complete genome with high genomic accuracy,high continuity,and high integrity.With the release of the completed human genome and Arabidopsis thaliana genome,the era of complete T2T species genome has arrived.In this review,we summarize the history leading up to the gap free plant genomes based on emerging ultra-long read sequencing technologies.We discuss to close gaps relying on targeted genome sequencing and assembling technologies.However,there are still quite a lot of challenges in super large,polyploidy,and unstable genomes.Nevertheless,these complete genomes have already provided unprecedented information,which will certainly deepen our understanding of plant genomes and the exploration of more functional sequences.By taking advantage of the complete genomes,a series of important genes could be annotated,which will help achieve the goal of genome design in crop species. | Yuhan Zhou Ji Zhang Xianghui Xiong Zong-Ming Cheng Fei Chen | 2022 | Tropical Plants2022，1，1： | 0 |
| 13 | Spectral computed tomography-guided photothermal therapy of osteosarcoma by bismuth sulfide nanorods显示文摘Osteosarcoma(OS)is the most normally primary malignant bone cancer in adolescents.Due to their analogous X-ray attenuation properties,healthy bones and malignancies with iodine enhancement cannot be distinguished by conventional computed tomography(CT).As one kind of spectral CT,dual-energy CT(DECT)offers multiple functions for material separation and cancer treatments.Herein,bismuth sulfide(Bi_(2)S_(3))nanorods(NRs)were synthesized as special contrast agents(CAs)for DECT,which have superior imaging properties than clinical iodine CAs.At the same time,the high photothermal conversion rates of Bi_(2)S_(3)NRs can be used for DECT-guided photothermal therapy(PTT)to destroy OS and inhibit tumor growth under the guidance of DECT imaging.Importantly,DECT imaging real-timely monitored that PTT could accelerate the diffusion of Bi2S3 NRs in the tumor,obtaining detailed information on the internal distribution of nanomaterials in tumors around the bone to avoid injury to normal tissues by PTT.Overall,the proposed strategy of DECT imaging-guided PTT appears enormous promise for bone disease treatment. | Yuhan Li Xiaoxue Tan Han Wang Xiuru Ji Zi Fu Kai Zhang Weijie Su Jian Zhang Dalong Ni | 2023 | Nano Research2023，16，7： | 0 |
| 14 | Development of the automatic navigation system for combine harvester based on GNSS显示文摘An automatic navigation system was developed to realize automatic driving for combine harvester,including the mechanical design,control method and software design.First of all,for the harvester modified with the automatic navigation system,a dynamic calibration method of the rear wheel center position was proposed.The control part included the navigation controller and the steering controller.A variable universe fuzzy controller was designed to the navigation controller,which used fuzzy control to change the fuzzy universe of input and output dynamically,that means,under the condition that the fuzzy rules remain unchanged,the fuzzy universe changes with the change of input,which is an adaptive fuzzy control method and can modify the control strategy in time.To realize the automatic navigation of the harvester,the decision result of the navigation controller based on the variable universe fuzzy control was input into the steering controller,and then the electric steering wheel was controlled to rotate.To test the performance of the designed automatic navigation system,the field experiment was carried out.When the combine harvester was navigating linearly at a speed of 0.8 m/s,the overall root mean square error(RMSE)of the lateral deviation was 5.87 cm.The test results showed that the system was designed could make the combine track the preset path smoothly and stably,and the tracking accuracy was at the centimeter level. | Shichao Li Man Zhang Ruyue Cao Yuhan Ji Zhenqian Zhang Han Li Yanxin Yin | 2021 | International Journal of Agricultural and Biological Engineering2021，14，5： | 0 |
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