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The interaction between temperature and precipitation on the potential distribution range of Betula ermanii in the alpine treeline ecotone on the Changbai Mountain

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Forest Ecosystems 2024年第1期11卷 42-51页

作者： Yu Cong Yongfeng Gu Wen J.Wang Lei Wang Zhenshan Xue yingyi chen Yinghua Jin Jiawei Xu Mai-He Li Hong S.He Ming Jiang Northeast Institute of Geography and Agroecology Chinese Academy of SciencesChangchun 130102China Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains Ministry of EducationSchool of Geographical SciencesNortheast Normal UniversityChangchun 130024China School of Natural Resources University of MissouriColumbiaMO 65211USA Swiss Federal Institute for Forest Snow and Landscape Research WSLCH-8903 BirmensdorfSwitzerland School of Life Science Hebei UniversityBaoding 071000China

Alpine treeline ecotones are highly sensitive to climate warming.The low temperature-determined alpine treeline is expected to shift upwards in response to global warming.However,little is known about how temperature interacts with other important factors to influence the distribution range of tree species within and beyond the alpine treeline ecotone.Hence,we used a GF-2 satellite image,along with bioclimatic and topographic variables,to develop an ensemble suitable habitat model based on the species distribution modeling algorithms in Biomod2.We investigated the distribution of suitable habitats for B.ermanii under three climate change scenarios(i.e.,low(SSP126),moderate(SSP370)and extreme(SSP585)future emission trajectories)between two consecutive time periods(i.e.,current-2055,and 2055-2085).By 2055,the potential distribution range of B.ermanii will expand under all three climate scenarios.The medium and high suitable areas will decline under SSP370 and SSP585scenarios from 2055 to 2085.Moreover,under the three climate scenarios,the uppermost altitudes of low suitable habitat will rise to 2,329 m a.s.l.,while the altitudes of medium and high suitable habitats will fall to 2,201 and2,051 m a.***.l.by 2085,respectively.Warming promotes the expansion of B.ermanii distribution range in Changbai Mountain,and this expansion will be modified by precipitation as climate warming continues.This interaction between temperature and precipitation plays a significant role in shaping the potential distribution range of B.ermanii in the alpine treeline ecotone.This study reveals the link between environmental factors,habitat distribution,and species distribution in the alpine treeline ecotone,providing valuable insights into the impacts of climate change on high-elevation vegetation,and contributing to mountain biodiversity conservation and sustainable development.

关键词： Biomod2 Birch Climate change Climate scenarios Habitat suitability Range shift Treeline species

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Discovery of a potent and highly selective inhibitor of SIRT6 against pancreatic cancer metastasis in vivo

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Acta Pharmaceutica Sinica B 2024年第3期14卷 1302-1316页

作者： Xinyuan Xu Qian Zhang Xufeng Wang Jing Jin chengwei Wu Li Feng Xiuyan Yang Mingzhu Zhao yingyi chen Shaoyong Lu Zhen Zheng Xiaobing Lan Yi Wang Yan Zheng Xuefeng Lu Qiufen Zhang Jian Zhang State Key Laboratory of Medical Genomics National Research Center for Translational Medicine at ShanghaiRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Medicinal Chemistry and BioinformaticsCenter Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of General Surgery Huashan HospitalCancer Metastasis InstituteFudan UniversityShanghai 200040China Institute of Immunology and the CAS Key Laboratory of Innate Immunity and Chronic Disease School of Basic Medicine and Medical CenterUniversity of Science and Technology of ChinaHefei 230026China Department of Assisted Reproduction Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China College of Pharmacy Ningxia Medical UniversityYinchuan 750004China Department of Pancreatic Surgery Shanghai General HospitalShanghai Key Laboratory of Pancreatic DiseaseInstitute of Pancreatic DiseaseShanghai Jiao Tong University School of MedicineShanghai 200080China

Pancreatic cancer,one of the most aggressive malignancies,has no effective treatment due to the lack of targets and drugs related to tumour metastasis.SIRT6 can promote the migration of pancreatic cancer and could be a potential target for antimetastasis of pancreatic cancer.However,highly selective and potency SIRT6 inhibitor that can be used in vivo is yet to be discovered.Here,we developed a noveSIRT6 allosteric inhibitor,compound 11e,with maximal inhibitory potency and an IC_(50) value of 0.98±0.13μmol/L.Moreover,compound 11e exhibited significant selectivity against other histone deacetylases(HADC1-11 and SIRT1-3)at concentrations up to 100μmol/L.The allosteric site and the molecular mechanism of inhibition were extensively elucidated by cocrystal complex structure and dynamic structural analyses.Importantly,we confirmed the antimetastatic function of such inhibitors in four pancreatic cancer cell lines as well as in two mouse models of pancreatic cancer liver metastasis.To our knowledge,this is the first study to reveal the in vivo effects of SIRT6 inhibitors on liver metastatic pancreatic cancer.It not only provides a promising lead compound for subsequent inhibitor developmentargeting SIRT6 but also provides a potential approach to address the challenge of metastasis in pancreatic cancer.

关键词： SIRT6 Inhibitor Allosteric Selectivity Cocrystal Pancreatic cancer metastasis

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Meta-analysis in the production chain of aquaculture: A review

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Information Processing in Agriculture 2022年第4期9卷 586-598页

作者： Guanghui Yu Chunhong Liu yingying Zheng yingyi chen Daoliang Li Wei Qin National Innovation Center for Digital Fishery China Agricultural UniversityChina Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture China Agriculture University Beijing 100083China Precision Agricultural Technology Integration Research Base(Fishery) Ministry of Agriculture and Rural AffairsChina Key Laboratory of Agricultural Information Acquisition Technology Ministry of AgricultureChina Agriculture UniversityBeijing 100083China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Biological Engineering Utah State UniversityLoganUT 84341United States

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.

关键词： Aquaculture Quantitative analysis Meta-analysis Production

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Purpurolide C-based microneedle promotes macrophage-mediated diabetic wound healing via inhibiting TLR4-MD2 dimerization and MYD88 phosphorylation

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Acta Pharmaceutica Sinica B 2023年第12期13卷 5060-5073页

作者： Yitong Liu Guiyang Xia yingyi chen Huan Xia Junji Xu Lijia Guo Sheng Lin Yi Liu Laboratory of Tissue Regeneration and Immunology and Department of Periodontics Beijing Key Laboratory of Tooth Regeneration and Function ReconstructionSchool of StomatologyCapital Medical UniversityBeijing 100050China PImmunology Research Center for Oral and Systemic Health Bejing Friendship HospitalCapital Medical UniversityBeijing 100050China Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing Dongzhimen HospitalBeijing University of Chinese MedicineBeijing 100700China Department of Orthodontics School of StomatologyCapital Medical UniversityBeijing 100050China

Delayed wound healing in diabetes is a global challenge,and the development of related drugs is a clinical problem to be solved.In this study,purpurolide C(PC),a small-molecule secondary metabolite of the endophytic fungus Penicillium purpurogenum,was found to promote diabetic wound healing.To investigate the key regulation targets of PC,in vitro RNA-seq,molecular docking calcula-tions,TLR4-MD2 dimerization SDS-PAGE detection,and surface plasmon resonance(SPR)were per-formed,indicating that PC inhibited inflammatory macrophage activation by inhibiting both TLR4-MD2 dimerization and MYD88 phosphorylation.Tlr4 knockout in vivo attenuated the promotion effect of PC on wound healing.Furthermore,a delivery system consisting of macrophage liposome and GelMA-based microneedle patches combined with PC(PC@MLIP MN)was developed,which overcame the poor water solubility and weak skin permeability of PC,so that successfully punctured the skin and delivered PC to local tissues,and accurately regulated macrophage polarization in diabetic wound management.Overall,PC is an anti-inflammatory small molecule compound with a well-defined structure and dualtarget regulation,and the PC@MLIP MN is a promising novel biomaterial for the management of diabetic wound.

关键词： Diabetes Wound healing Purpurolide C Liposome and GelMA-based microneedle patches Macrophage polarization Inflammation Drugdelivery Molecular mechanism

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Rhodauricanol A, an analgesic diterpenoid with an unprecedented5/6/5/7 tetracyclic system featuring a unique16-oxa-tetracyclo[11.2.1.0^(1,5).0^(7,13)]hexadecane core from Rhododendron dauricum

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Chinese Chemical Letters 2023年第4期34卷 183-187页

作者： Yuanyuan Feng Suqin Zha Hanqi Zhang Biao Gao Guijuan Zheng Pengfei Jin yingyi chen Guangmin Yao Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation School of PharmacyTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China State Key Laboratory of Phytochemistry and Plant Resources in West China Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China

A novel diterpenoid with an unprecedented 5/6/5/7 tetracyclic system, rhodauricanol A(1), five new grayanane-derived diterpenoids, dauricanols A-E(2-6), and five known ones(7-11) were isolated from the flowers of Rhododendron dauricum. Rhodauricanol A(1) possesses a unique 5/6/5/7 tetracyclic ring system featuring a 16-oxa-tetracyclo[11.***.1.0^(1,5).0^(7,13)]hexadecane core. Dauricanols A-C(2-4) are the first1,3-dioxolane conjugates of grayanane diterpenoids and 5-hydroxymethylfurfural and vanillin, respectively, and dauricanols D(5) and E(6) represent the first examples of 6-deoxy-1,5-seco-grayanane diterpenoids. Their structures were determined by spectroscopic methods, quantum chemical calculation including ^(13)C NMR-DP4+ analysis and ECD calculation, and single-crystal X-ray diffraction analysis. Plausible biosynthetic pathways for 1-4 were proposed. All the isolates showed significant analgesic activities,and dauricanols B(3) and C(4) showed more potent analgesic activities than the positive control, morphine.

关键词： Rhododendron dauricum L.(Ericaceae) Diterpenoids Single-crystal X-ray diffraction Biosynthetic pathways Analgesics

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A Method Based on Knowledge Distillation for Fish School Stress State Recognition in Intensive Aquaculture

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1315-1335页

作者： Siyuan Mei yingyi chen Hanxiang Qin Huihui Yu Daoliang Li Boyang Sun Ling Yang Yeqi Liu College of Information and Electrical Engineering China Agricultural UniversityBeijing100083China National Innovation Center for Digital Fishery China Agricultural UniversityBeijing100083China School of Information Science and Technology Beijing Forestry UniversityBeijing100083China

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.

关键词： Fish behavior deep learning knowledge distillation aquaculture

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全民数字素养框架制定方法研究——欧盟公民数字能力框架的经验与启示

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图书馆 2024年第1期 65-72页

作者：陈颖仪佛山市图书馆广东佛山528000

欧盟公民数字能力框架经过十余年理论与实证相结合的发展和完善,已在国际上获得广泛认可,其制定方法和经验值得我国参考和借鉴。文章以欧盟公民数字能力框架为例,梳理其社会背景和发展过程,分析其概念映射、案例研究、专家征询、涉众咨... 详细信息

欧盟公民数字能力框架经过十余年理论与实证相结合的发展和完善,已在国际上获得广泛认可,其制定方法和经验值得我国参考和借鉴。文章以欧盟公民数字能力框架为例,梳理其社会背景和发展过程,分析其概念映射、案例研究、专家征询、涉众咨询、持续更新和衍生研究等阶段的研究方法,并从顶层设计、方法体系、多元协同和统筹布局等方面探讨其经验与启示,以期为构建符合中国国情又面向未来发展需求的本土数字素养框架提供思路和参考。

关键词：数字素养框架制定方法数字能力欧盟

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A hybrid intelligent soft computing method for ammonia nitrogen prediction in aquaculture

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Information Processing in Agriculture 2021年第1期8卷 64-74页

作者： Huihui Yu Ling Yang Daoliang Li yingyi chen School of Information Science and Technology Beijing Forestry UniversityBeijing 100083PR China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083PR China Key Laboratory of Agricultural Information Acquisition Technology Ministry of AgricultureBeijing 100083PR China Beijing Engineering and Technology Research Center for Internet of Things in Agriculture Beijing 100083PR China

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.

关键词： Ammonia nitrogen prediction Extreme learning machine Soft computing Aquaculture

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刀具槽型参数对切屑流向的影响及响应面分析

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工具技术 2024年第7期58卷 125-128页

作者：陈应易陈舜青上海应用技术大学机械工程学院

为更好地控制切屑,通过ABAQUS建立了梯形断屑槽的切削有限元仿真模型,研究了梯形断屑槽参数中刀尖处最小槽间距、反屑面角、断屑槽斜角对切屑流向的影响,并通过响应面法分析并拟合出切屑流向与这三个影响因子的二次多项式响应模型。结... 详细信息

为更好地控制切屑,通过ABAQUS建立了梯形断屑槽的切削有限元仿真模型,研究了梯形断屑槽参数中刀尖处最小槽间距、反屑面角、断屑槽斜角对切屑流向的影响,并通过响应面法分析并拟合出切屑流向与这三个影响因子的二次多项式响应模型。结果表明:断屑槽槽间距越小,反屑面角、断屑槽斜角对切屑流向的影响越大,且断屑槽斜角对切屑流向的影响最大,反屑面角次之。通过响应面法建立的二次多项式数学模型能够描述刀尖处的最小槽间距、反屑面角、断屑槽斜角对切屑流向的影响规律,并且可以在一定范围内进行预测。

关键词：梯形断屑槽参数有限元仿真响应面法切屑流向

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Growth monitoring of greenhouse lettuce based on a convolutional neural network

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Horticulture Research 2020年第1期7卷 1161-1172页

作者： Lingxian Zhang Zanyu Xu Dan Xu Juncheng Ma yingyi chen Zetian Fu China Agricultural University Beijing 100083China Key Laboratory of Agricultural Informationization Standardization Ministry of Agriculture and Rural AffairsBeijingChina Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural SciencesBeijing 100081China

Growth-related traits,such as aboveground biomass and leaf area,are critical indicators to characterize the growth of greenhouse lettuce.Currently,nondestructive methods for estimating growth-related traits are subject to limitations in that the methods are susceptible to noise and heavily rely on manually designed features.In this study,a method for monitoring the growth of greenhouse lettuce was proposed by using digital images and a convolutional neural network(CNN).Taking lettuce images as the input,a CNN model was trained to learn the relationship between images and the corresponding growth-related traits,i.e.,leaf fresh weight(LFW),leaf dry weight(LDW),and leaf area(LA).To compare the results of the CNN model,widely adopted methods were also used.The results showed that the values estimated by CNN had good agreement with the actual measurements,with R^(2) values of 0.8938,0.8910,and 0.9156 and normalized root mean square error(NRMSE)values of 26.00,22.07,and 19.94%,outperforming the compared methods for all three growth-related traits.The obtained results showed that the CNN demonstrated superior estimation performance for the flat-type cultivars of Flandria and Tiberius compared with the curled-type cultivar of Locarno.Generalization tests were conducted by using images of Tiberius from another growing season.The results showed that the CNN was still capable of achieving accurate estimation of the growth-related traits,with R2 values of 0.9277,0.9126,and 0.9251 and NRMSE values of 22.96,37.29,and 27.60%.The results indicated that a CNN with digital images is a robust tool for the monitoring of the growth of greenhouse lettuce.

关键词： neural network estimation

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