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| 1 | Selenophene-Flanked Diketopyrrolopyrrole Based Conjugated Polymers for Ambipolar Field-Effect Transistors显示文摘Summary of main observation and conclusion The development of selenophene-flanked DPP(SeDPP)based copolymers,especially for the ambipolar ones,lags behind other aromatic group flanked DPP-based polymers.Herein,we report two new ambipolar SeDPP-based conjugated polymers.One is the alternating polymer PSeDPPFT with normal SeDPP and 3,4-difluorothiophene units.The other is PSeFDFT,in which the electron acceptor unit is replaced by a new SeDPP derivative,referred as to half-fused SeDPP.The more planar structure of half fused SeDPP endows the backbone of PSeFDFT with good rigidity and planarity.Both polymers exhibit ambipolar transporting properties in air.The PSeFDFT based fleld-effect transistors(FETs)display higher and more balanced ambipolar properties with μnave of 0.27 cm2·V-1·s-1,μe ave of 0.18 cm2·V-1·s-1,and μh ave/μeave of 1.5 than those of PSeDPPFT(μhave=0.11cm2·V-1·s-1,μeave=0.042cm2·V-1·s-1,and μh/μe=2.6).This is attributed to the more planar structure,lower LUMO level,higher HOMO level,and better interchain packing orientations of PSeFDFT by comparing with PSeDPPFT.Therefore,a new molecular design strategy to modulate the hole and electron transporting properties is proposed for conjugated D-A polymers. | Dandan Shi Xiaobo Yu Liangliang Chen Daoliang Chen Zitong Liu Xisha Zhang Guanxin Zhang Deqing Zhang | 2020 | Chinese Journal of Chemistry2020，38，10： | 4 |
| 2 | A hybrid intelligent soft computing method for ammonia nitrogen prediction in aquaculture显示文摘Ammonia nitrogen is one of the key parameters in determining the aquaculture water quality condition in pond.The high level of ammonia nitrogen is likely to cause deterioration of water quality and mass death of cultured subjects.Therefore,accurate detection of the cultured water ammonia nitrogen content is crucially important for aquaculture management.While,at present,the accuracy of equipment for measuring the ammonia nitrogen content of aquaculture water in real time cannot meet the requirements for aquaculture.In this paper,the soft computing method is firstly proposed to predict the ammonia nitrogen content in aquaculture water in real time.This method includes empirical mode decomposition(EMD),improved particle swarm optimization(IPSO)and extreme learning machine(ELM).To evaluate the performance of the soft computing techniques,three different statistic indicators were used,including root mean square error(RMSE),the mean absolute error(MAE),and the mean absolute percentage error(MAPE)to compare three artificial soft computing methods.Results showed that the EMD-IPSO-ELM soft computing method showed the best performance among other studied methods in the ammonia nitrogen real time prediction.The EMD-IPSO-ELM model provides moderately and roughly accurately real time prediction value of ammonia nitrogen in aquaculture water. | Huihui Yu Ling Yang Daoliang Li Yingyi Chen | 2021 | Information Processing in Agriculture2021，8，1： | 1 |
| 3 | An Improved Gray Model For Aquaculture Water Quality Prediction显示文摘 | Zhenbo Li Yu Jiang Jun Yue Lifeng Zhang Daoliang Li | | 0，，05： | 1 |
| 4 | Molecular basis of heterosis and related breeding strategies reveal its importance in vegetable breeding显示文摘Heterosis has historically been exploited in plants;however,its underlying genetic mechanisms and molecular basis remain elusive.In recent years,due to advances in molecular biotechnology at the genome,transcriptome,proteome,and epigenome levels,the study of heterosis in vegetables has made significant progress.Here,we present an extensive literature review on the genetic and epigenetic regulation of heterosis in vegetables.We summarize six hypotheses to explain the mechanism by which genes regulate heterosis,improve upon a possible model of heterosis that is triggered by epigenetics,and analyze previous studies on quantitative trait locus effects and gene actions related to heterosis based on analyses of differential gene expression in vegetables.We also discuss the contributions of yield-related traits,including flower,fruit,and plant architecture traits,during heterosis development in vegetables(e.g.,cabbage,cucumber,and tomato).More importantly,we propose a comprehensive breeding strategy based on heterosis studies in vegetables and crop plants.The description of the strategy details how to obtain F_(1) hybrids that exhibit heterosis based on heterosis prediction,how to obtain elite lines based on molecular biotechnology,and how to maintain heterosis by diploid seed breeding and the selection of hybrid simulation lines that are suitable for heterosis research and utilization in vegetables.Finally,we briefly provide suggestions and perspectives on the role of heterosis in the future of vegetable breeding. | Daoliang Yu Xingfang Gu Shengping Zhang Shaoyun Dong Han Miao Kiros Gebretsadik Kailiang Bo | 2021 | Horticulture Research2021，8，1： | 1 |
| 5 | A Method Based on Knowledge Distillation for Fish School Stress State Recognition in Intensive Aquaculture显示文摘Fish behavior analysis for recognizing stress is very important for fish welfare and production management in aquaculture.Recent advances have been made in fish behavior analysis based on deep learning.However,most existing methods with top performance rely on considerable memory and computational resources,which is impractical in the real-world scenario.In order to overcome the limitations of these methods,a new method based on knowledge distillation is proposed to identify the stress states of fish schools.The knowledge distillation architecture transfers additional inter-class information via a mixed relative loss function,and it forces a lightweight network(GhostNet)to mimic the soft probabilities output of a well-trained fish stress state recognition network(ResNeXt101).The fish school stress state recognition model’s accuracy is improved from 94.17%to 98.12%benefiting from the method.The proposed model has about 5.18 M parameters and requires 0.15 G FLOPs(floating-point operations)to process an image of size 224×224.Furthermore,fish behavior images are collected in a land-based factory,and a dataset is constructed and extended through flip,rotation,and color jitter augmentation techniques.The proposed method is also compared with other state-of-the-art methods.The experimental results show that the proposed model is more suitable for deployment on resource-constrained devices or real-time applications,and it is conducive for real-time monitoring of fish behavior. | Siyuan Mei Yingyi Chen Hanxiang Qin Huihui Yu Daoliang Li Boyang Sun Ling Yang Yeqi Liu | 2022 | Computer Modeling in Engineering & Sciences2022，，6： | 0 |
| 6 | Investigation on environment monitoring system for a combination of hydroponics and aquaculture in greenhouse显示文摘This work develops a distributed environmental monitoring system for the combination of hydroponics and aquaculture based on the internet of things technology,which mainly includes the information perception layer,the information transmission layer and the sys-tem architecture.The system has employed multiple sensors terminal to real-time acqui-sition,including air and water temperatures,dissolved oxygen etc.LoRa protocol is suitable for sending small data and the 4G was employed to collect data and send to the cloud plat-form.Java is used to develop background applications,to access cloud platforms and local data processing.Based on the collection and processing of environmental data and cloud service platform,the mobile application program client and remote login desktop have been developed.It has been implemented and tested in Tongzhou,Beijing for 3 months in 2020.The results showed the proposed monitoring system stability for overall operation and accuracy data transmission,which can support the actual hydroponics and aquacul-ture production management.After analysis of monitoring data collected from the devel-oped monitoring system,indoor air and water temperature have the obvious correlation with atmospheric pressure(0.7 and 0.9)and outdoor temperature(1.0 and 0.9),respectively. | Shanhong Zhang Yu Guo Shuai Li Zhixin Ke Huajian Zhao Jinqi Yang Yang Wang Daoliang Li Liang Wang Wenhua Yang Zhili Zhang | 2022 | Information Processing in Agriculture2022，9，1： | 0 |
| 7 | Meta-analysis in the production chain of aquaculture: A review显示文摘Meta-analysis is a statistical analysis of the data obtained from multiple studies and pro-vides a quantitative synthesis of research results.It can be a key tool for facilitating rapid progress in aquaculture by quantifying what is known and identifying what is not yet known.However,due to the complexity of the environment and problems associated with the use of model in aquaculture,it remain few guidelines for the design,implementation or interpretation of meta-analysis in the field of aquaculture.Here,we first briefly reviewed the history of meta-analysis,then summarized the applications of meta-analysis in terms of major procedures,standards,and methods.Next,we critically reviewed the results of meta-analysis studies in the production chain of aquaculture and identified the potentials for improving yield in both quantity and quality.Overall,there is a large room for improving yield along the production chain.Large contributions can be found in breeding,feed,and farm management.For example,improving breeding can increase yield by 5.6%to 49%,depending on fish species and type of improvements.This study revealed large potentials for improving yield in the production chain of aquaculture and summarized the application of meta-analysis in aquaculture.Some recommendations of standardizing and improving meta-analysis in aquaculture were proposed. | Guanghui Yu Chunhong Liu Yingying Zheng Yingyi Chen Daoliang Li Wei Qin | 2022 | Information Processing in Agriculture2022，9，4： | 0 |
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