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Genes & Diseases 2024年第1期11卷 19-22页

作者： zhenhai li Wenchao Xu Feng Chen Jun Zhang Wei-Guo Zhu Guangdong Key Laboratory of Genome Instability and Human Disease Prevention Department of Biochemistry and Molecular BiologyShenzhen University School of MedicineShenzhenGuangdong 518055China School of Pharmaceutical Sciences Shenzhen University Health Science CenterShenzhenGuangdong 518055China Base for International Science and Technology Cooperation:Carson Cancer Stem Cell Vaccines R&D Center International Cancer CenterShenzhen University Health Science CenterShenzhenGuangdong 518055China Shenzhen Bay Laboratory Shenzhen University School of MedicineShenzhenGuangdong 518055China Marshall Laboratory of Biomedical Engineering Shenzhen University School of MedicineShenzhenGuangdong 518055China

Etoposide is widely used for cancer chemotherapy in the ***,long-term etoposide treatment can lead to adverse effects or drug *** improve the situation,we evaluated the therapeutic efficiency of etoposide combined with inhibitors of bromodomain and extraterminal(BET)family proteins,which have recently emerged as novel anti-cancer targets due to their critical roles in cancer ***,we showed BRD4,one of the main targets of BET inhibitors,was involved in DNA damage response(DDR)via the homologous recombination(HR)repair pathway.

关键词： etoposide damage cancer

Comparison of three models for winter wheat yield prediction based on UAV hyperspectral images

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 260-267页

作者： Xiaobin Xu Cong Teng Hongchun Zhu Haikuan Feng Yu Zhao zhenhai li College of Geodesy and Geomatics Shandong University of Science and TechnologyQingdao 266590ShandongChina Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China

Predicting crop yield timely can considerably accelerate agricultural production management and food policy-making,which are also important requirements for precise agricultural *** the development of hyperspectral imaging technology,a simple and efficient modeling method is convenient for predicting crop yield by using airborne hyperspectral *** this study,the Unmanned Aerial Vehicle(UAV)hyperspectral and maturity yield data in 2014-2015 and 2017-2018 were *** winter wheat yield prediction model was established by optimizing Vegetation Indices(VIs)feature scales and sample scales,incorporating Partial Least Squares Regression(PLSR),Random Forest algorithm(RF),and Back Propagation Neural Network algorithm(BPN).Results showed that PLSR stands out as the optimal wheat yield prediction model considering stability and accuracy(RMSE=948.88 kg/hm2).Contrary to the belief that more input features result in higher accuracy,PLSR,RF,and BPN models performed best when trained with the top 3,8,and 4 VIs with the highest correlation,*** an increase in training samples,model accuracy improves,reaching stability when the training samples reach *** PLSR and optimal feature scales,UAV yield prediction maps were generated,holding significant value for field management in precision agriculture.

关键词： hyperspectral imagery unmanned aerial vehicle winter wheat yield prediction model remote sensing

Remote sensing of quality traits in cereal and arable production systems:A review

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The Crop Journal 2024年第1期12卷 45-57页

作者： zhenhai li Chengzhi Fan Yu Zhao Xiuliang Jin Raffaele Casa Wenjiang Huang Xiaoyu Song Gerald Blasch Guijun Yang James Taylor Zhenhong li College of Geodesy and Geomatics Shandong University of Science and TechnologyQingdao 266590ShandongChina Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Institute of Crop Sciences Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and EcologyMinistry of Agriculture and Rural AffairsBeijing 100081China DAFNE Universitàdella TusciaVia San Camillo de Lellis01100 ViterboItaly Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China International Maize and Wheat Improvement Center(CIMMYT) PO Box 5689Addis AbabaEthiopia ITAP Univ.MontpellierINRAEInstitut AgroMontpellier 34000France College of Geological Engineering and Geomatics Chang’an UniversityXi’an 710054ShaanxiChina

Cereal is an essential source of calories and protein for the global *** predicting cereal quality before harvest is highly desirable in order to optimise management for farmers,grading harvest and categorised storage for enterprises,future trading prices,and policy *** use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality *** studies have also proposed models and methods for predicting such traits based on multiplatform remote sensing *** this paper,the key quality traits that are of interest to producers and consumers are *** literature related to grain quality prediction was analyzed in detail,and a review was conducted on remote sensing platforms,commonly used methods,potential gaps,and future trends in crop quality *** review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

关键词： Remote sensing Quality traits Grain protein Cereal

Differential pressure reset strategy based on reinforcement learning for chilled water systems

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Building Simulation 2022年第2期15卷 233-248页

作者： Xinfang Zhang zhenhai li Zhengwei li Shunian Qiu Hai Wang School of Mechanical Engineering Tongji UniversityShanghaiChina Key Laboratory of Performance Evolution and Control for Engineering Structures of Ministry of Education Tongji UniversityShanghaiChina

Air conditioning water systems account for a large proportion of building energy *** a pressure-controlled water system,one of the key measures to save energy is to adjust the differential pressure setpoints during ***,such adjustments are based either on certain rules,which rely on operator experience,or on complicated models that are not easy to *** this paper,a data-driven control method based on reinforcement learning is *** main idea is to construct an agent model that adapts to the researched *** of directly being told how to react,the agent must rely on its own experiences to *** with traditional control strategies,reinforcement learning control(RLC)exhibits more accurate and steady performances while maintaining indoor air temperature within a limited range.A case study shows that the RLC strategy is able to save substantial amounts of energy.

关键词： water system differential pressure reset reinforcement learning control energy saving

基于真实情境提升问题解决能力的高三生物学复习课——以“遗传与视力健康”为例

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生物学通报 2024年第2期59卷 30-34页

作者：李品李振海邓海莉张树虎北京市陈经纶中学北京100020 北京市朝阳区教育科学研究院北京100028

基于“视网膜色素变性遗传病”的真实情境,通过问题引领、探究、阐释、迁移、感悟等活动的开展,引导学生从分子、细胞和个体层面分析视网膜色素变性,培养学生科学探究、科学思维、生命观念和社会责任素养;通过剖析其他病例,训练学生感... 详细信息

基于“视网膜色素变性遗传病”的真实情境,通过问题引领、探究、阐释、迁移、感悟等活动的开展,引导学生从分子、细胞和个体层面分析视网膜色素变性,培养学生科学探究、科学思维、生命观念和社会责任素养;通过剖析其他病例,训练学生感悟情境、解决实际问题的能力。本探究有利于促进学生知识经验的积累和问题解决能力的提升。

关键词：真实情境问题解决能力高三生物学复习视网膜色素变性

Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?

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The Crop Journal 2022年第5期10卷 1346-1352页

作者： Yu Zhao Yang Meng Shaoyu Han Haikuan Feng Guijun Yang zhenhai li Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Collaborative Innovation Center for Modern Crop Production Co-sponsored by Province and Ministry Nanjing Agricultural UniversityNanjing 210095JiangsuChina College of Geomatics Shandong University of Science and TechnologyQingdao 266590ShandongChina

Most existing agronomic trait models of winter wheat vary across growing seasons, and it is an open question whether a unified statistical model can be developed to predict agronomic traits using a vegetation index(VI) across multiple growing seasons. In this study, we constructed a hierarchical linear model(HLM) to automatically adapt the relationship between VIs and agronomic traits across growing seasons and tested the model’s performance by sensitivity analysis. Results demonstrated that(1) optical VIs give poor performance in predicting AGB and PNC across all growth stages, whereas VIs perform well for LAI, LGB, LNC, and SPAD.(2) The sensitivity indices of the phenological information in the AGB and PNC prediction models were 0.81–0.86 and 0.66–0.73, whereas LAI, LGB, LNC, and SPAD prediction models produced sensitivity indexes of 0.01–0.02, 0.01–0.02, 0.01–0.02, and 0.02–0.08, respectively.(3) The AGB and PNC prediction models considering ZS were more accurate than the prediction models based on VI. Whether or not phenological information is used, there was no difference in model accuracy for LGB,LNC, SPAD, and LAI. This study may provide a guideline for deciding whether phenological correction is required for estimation of agronomic traits across multiple growing seasons.

关键词： Agronomic traits Phenological effect Vegetation index Hierarchical linear model Winter wheat

Novel evolutionary insights into nemacheilid cavefi sh: evidence from comparative analysis of mitochondrial genomes

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Journal of Oceanology and limnology 2022年第4期40卷 1640-1653页

作者： Lei ZHOU Shihui HUANG Qing WANG zhenhai li Zongyang li Anyou HE Jiehu CHEN li liU Keshu ZOU Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation College of Marine SciencesSouth China Agricultural UniversityGuangzhou 510642China Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture Guangxi Academy of Fishery SciencesNanning 530021China Science Corporation of Gene Guangzhou 510000China

Cavefi sh can be important models for understanding the relationships among evolution,adaptation,and development in extreme ***,cavefi sh remain poorly studied,particularly at the genome ***,we sequenced the complete mitogenome of three cavefi sh in the family Nemacheilidae(Paranemachilus pingguoensis,Oreonectes polystigmus,and Heminoemacheilus longibarbatus),which were collected from karst caves in South *** mitogenomes each contained 37 genes(13 protein coding,22 tRNA,and two rRNA genes)and a single control region,with the same genetic arrangement and distribution as those found in *** non-synonymous/synonymous mutation ratios(Ka/Ks)of the mitogenomes indicated that the protein-coding genes(PCGs)of the three cavefi sh evolved under purifying *** mitogenomes of the three cavefi sh exhibit nucleotide composition biases for PCGs,tRNAs,rRNAs,and the whole genome,indicating that the mitochondrial DNA might have been subjected to evolutionary selection in response to extreme cave *** time and evolutionary history analyses suggested that the speciation and diversifi cation of the cavefi sh coincided with the Miocene uplift of the southern Qinghai-Tibet Plateau,which greatly changed cave ***,our study sheds light on the mitogenomes,phylogeny,and evolutionary history of nemacheilid cavefi sh.

关键词： cavefish mitochondrial genome evolution Nemacheilidae

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行业北斗高精度位置服务评测研究

现代导航 2024年第1期15卷 13-23页

作者：房成贺陈荣伟李振海耿长江李奇中国航天电子技术研究院卫星导航系统工程中心北京100094 中国卫星导航系统管理办公室测试评估研究中心北京100094 浙江公路水运工程咨询有限责任公司杭州310006

目前国内有多家高精度位置服务商可提供全国范围内的高精度定位服务,针对各服务商的北斗高精度定位服务能力开展了第三方评测研究,包括对各服务商的4星11频、单北斗(BDS)和单GPS服务相关性能指标的评测与比较。结果表明:参加评测的三家... 详细信息

目前国内有多家高精度位置服务商可提供全国范围内的高精度定位服务,针对各服务商的北斗高精度定位服务能力开展了第三方评测研究,包括对各服务商的4星11频、单北斗(BDS)和单GPS服务相关性能指标的评测与比较。结果表明:参加评测的三家服务商的高精度定位服务效果相当,均能提供实时厘米级定位服务;另外,在高精度定位服务精度、固定率和收敛时间方面,单北斗与4星11频服务相当,优于单GPS服务。

关键词：北斗高精度位置服务网络实时动态差分定位精度固定率

Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information

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The Crop Journal 2022年第5期10卷 1251-1263页

作者： Jia Sun Lunche Wang Shuo Shi zhenhai li Jian Yang Wei Gong Shaoqiang Wang Torbern Tagesson Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeoscienceWuhan 430079HubeiChina Department of Physical Geography and Ecosystem Science Lund UniversityLund 117 SE-22100Sweden State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhan 430079HubeiChina Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs Beijing Research Center for Information Technology in AgricultureBeijing 100097China Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagen 1172Denmark

Leaf pigments are critical indicators of plant photosynthesis,stress,and physiological *** of radiative transfer models(RTMs)is a promising method for robustly retrieving leaf biochem-ical traits from canopy observations,and adding prior information has been effective in alleviating the“ill-posed”problem,a major challenge in model *** structure parameters,such as leaf area index(LAI)and average leaf inclination angle(ALA),can serve as prior information for leaf pigment *** canopy spectra simulated from the PROSAIL model,we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll(C _(ab))and car-otenoid(C_(ar)).The retrieval accuracies of the two pigments were increased by use of the priors of LAI(RMSE of C_(ab) from 7.67 to 6.32μg cm^(-2),C_(ar) from 2.41 to 2.28μg cm^(-2))and ALA(RMSE of C_(ab) from 7.67 to 5.72μg cm^(-2),C_(ar) from 2.41 to 2.23μg cm^(-2)).However,this improvement deteriorated with an increase of additive and multiplicative uncertainties,and when 40% and 20% noise was added to LAI and ALA respectively,these priors ceased to increase retrieval *** using an experimental winter wheat dataset also showed that compared with C_(ar),the estimation accuracy of C_(ab) increased more or deteriorated less with uncertainty in prior canopy *** study demonstrates possible limita-tions of using prior information in RTM inversions for retrieval of leaf biochemistry,when large uncer-tainties are present.

关键词： Leaf pigment PROSAIL model Canopy structure Chlorophyll content Leaf area index Leaf angle distribution

Remote sensing of quality traits in cereal and arable production systems:A review

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