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Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 638-648页

作者： Xiaoting Du Lei Zou Maiying Zhong the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the College of Information science and Technology Donghua UniversityShanghai 201620 the Engineering Research center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China

The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or *** guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault *** aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid *** techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain ***,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then ***,a numerical example is conducted to demonstrate the effectiveness of the designed estimator.

关键词： Dynamic event-triggered mechanism(DETM) fault estimation nonlinear time-varying complex networks set-member-ship filtering unknown input observer

Growth,leaf anatomy,and photosynthesis of cotton(Gossypium hirsutum L.)seedlings in response to four light-emitting diodes and high pressure sodium lamp

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Journal of Cotton Research 2024年第1期7卷 79-89页

作者： ZHANG Yichi LIAO Baopeng LI Fangjun ENEJI AEgrinya DU Mingwei TIAN Xiaoli Engineering Research center of Plant Growth Regulator Ministry of EducationCollege of Agronomy and BiotechnologyChina Agricultural UniversityBeijing 100193China Department of Soil science Faculty of AgricultureForestryand Wildlife Resources ManagementUniversity of CalabarCalabarNigeria

Background Light is a critical factor in plant growth and development,particularly in controlled ***-emitting diodes(LEDs)have become a reliable alternative to conventional high pressure sodium(HSP)lamps because they are more efficient and versatile in light *** contrast to well-known specialized LED light spectra for vegetables,the appropriate LED lights for crops such as cotton remain *** In this growth chamber study,we selected and compared four LED lights with varying percentages(26.44%–68.68%)of red light(R,600–700 nm),combined with other lights,for their effects on growth,leaf anatomy,and photosynthesis of cotton seedlings,using HSP lamp as a *** total photosynthetic photon flux density(PPFD)was(215±2)μmol·m-2·s-1 for all LEDs and HSP *** results showed significant differences in all tested parameters among lights,and the percentage of far red(FR,701–780 nm)within the range of 3.03%–11.86%was positively correlated with plant growth(characterized by leaf number and area,plant height,stem diameter,and total biomass),palisade layer thickness,photosynthesis rate(Pn),and stomatal conductance(Gs).The ratio of R/FR(4.445–11.497)negatively influenced the growth of cotton seedlings,and blue light(B)suppressed stem elongation but increased palisade cell length,chlorophyll content,and *** The LED 2 was superior to other LED lights and HSP *** had the highest ratio of FR within the total PPFD(11.86%)and the lowest ratio of R/FR(4.445).LED 2 may therefore be used to replace HPS lamp under controlled environments for the study of cotton at the seedling stage.

关键词： Cotton seedling Light-emitting diodes Biomass Palisade cell Photosynthesis

Application of machine learning models in groundwater quality assessment and prediction:progress and challenges

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Frontiers of Environmental science & Engineering 2024年第3期18卷 25-55页

作者： Yanpeng Huang Chao Wang Yuanhao Wang Guangfeng Lyu Sijie Lin Weijiang Liu Haobo Niu Qing Hu School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental science and Engineering Southern University of Science and TechnologyShenzhen 518055China Engineering Innovation center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China Technical center for Soil Agriculture and Rural Ecology and EnvironmentMinistry of Ecology and EnvironmentBeijing 100012China Chinese Academy of Environmental Planning Beijing 100043China

Groundwater quality assessment and prediction(GQAP)is vital for protecting groundwater *** GQAP methods can not adequately capture the complex relationships among attributes and have the disadvantage of being computationally ***,the application of machine learning(ML)in GAQP(GQAPxML)has been widely studied due to ML’s reliability and *** many GQAPxML publications exist,a thorough review is *** review provides a comprehensive summary of the development of ML applications in the field of ***,the workflow of ML modeling is briefly introduced,as are data preparation,model development,model evaluation,and model ***,299 publications related to the topic are filtered,mainly through ML ***,many aspects of GQAPxML,such as publication trends,the spatial distribution of study areas,the size of data sets,and ML algorithms,are discussed from a bibliometric *** addition,we review in detail the well-established applications and recent findings for several subtopics,including groundwater quality assessment,groundwater quality modeling using groundwater quality parameters,groundwater quality spatial mapping,probability estimation of exceeding the groundwater quality threshold,groundwater quality temporal prediction,and the hybrid use of ML and physics-based ***,the development of GQAPxML is explored from three perspectives:data collection and preprocessing,model building and evaluation,and the broadening of model *** review provides a reference for environmental scientists to better understand GQAPxML and promotes the development of innovative methods and improvements in modeling quality.

关键词： Groundwater quality assessment Groundwater quality prediction Machine learning Groundwater modeling

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

Proteomic studies of the effects of processing techniques on properties of abalone muscles: A comprehensive review

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Food science and Human Wellness 2024年

作者： Yan Tian Shuyi You Yi Zhang Baodong Zheng Hongliang Zeng College of Food science Fujian agriculture and Forestry University Engineering Research center of Fujian-Taiwan Special Marine Food Processing and Nutrition Ministry of education Key Laboratory of Marine Biotechnology of Fujian Province Institute of Oceanology Fujian agriculture and Forestry University Fuzhou Ocean Research Institute

Background: With the increasing per capita demand for animal protein， there is a growing interest in the abundant abalone protein resources. Abalone proteins are known for their nutritional and functional properties that contribute to flavor and texture. Scope and approach: We systematically constructed the relationship between abalone protein， processing， and proteomics. This paper reviews the nutritional properties of abalone proteins and evaluates the effects of different thermal processing techniques， non-thermal processing， and freezing on abalone proteins. In addition， we synthesize published abalone proteomics studies and the use of proteomics technology to better elucidate the quality changes of abalone and its products， and as a technical basis for the study of blue food marker proteins. It is important direction to clearly explain the protein composition and meat quality mechanism of abalone in the processing and storage by *** findings and conclusions: During various types of thermal processing， non-thermal processing， and freezing of abalone， the various chemical forces between protein molecules are disrupted， which in turn leads to different degrees of denaturation， aggregation， and gelation， which may have an impact on the organoleptic properties， bioavailability， and digestibility of abalone muscle. Proteomics is used in abalone biology studies to understand developmental biology， physiology， disease/stress， and species identification and can also be a powerful tool to characterize processing methods on abalone quality properties.

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Interface engineering via molecules/ions/groups for electrocatalytic water splitting

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Nano Research 2024年第9期17卷 7864-7879页

作者： Defang Ding Youwen Liu Fan Xia Engineering Research center of Nano-Geomaterials of Ministry of education Faculty of Materials Science and ChemistryChina University of GeosciencesWuhan 430074China State Key Laboratory of Materials Processing and Die&Mould Technology and School of Materials Science and Engineering Huazhong University of Science and Technology WuhanHubei 430074China

The electrochemical water splitting to produce hydrogen converts electric energy into clean hydrogen energy,which is a groundbreaking concept of energy *** achieve high efficiency,numerous strategies have been developed to enhance the performance of *** these,interface engineering with molecules/ions/groups,serves as a versatile approach for optimizing the performance of electrocatalysts in water *** the basis of numerous achievements in high-performance electrocatalysts engineered through molecules/ions/groups at interface,a comprehensive understanding of these advancements is crucial for guiding future ***,after providing a concise overview of the background,the interface engineering via molecules/ions/groups for electrocatalytic water splitting is demonstrated from three ***,the engineering of electronic state of electrocatalysts by molecules/ions/groups at interface to reduce the Gibbs free energy of the corresponding ***,the modification of local microenvironment surrounding electrocatalysts via molecules/ions/groups at interface to enhance the transfer of reactants and ***,the protection of electrocatalysts with molecule/ion/group fences improves their durability,including protecting active sites from leaching and defending them against harmful *** fundamental principles of these three aspects are outlined for each,along with pertinent ***,several research directions and challenges are proposed.

关键词： electrocatalyst water splitting interface engineering molecules/ions/groups

Sequential reactant water management by complementary multisite catalysts for surpassing platinum hydrogen evolution activity

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Nano Research 2024年第3期17卷 1232-1241页

作者： Yu Lin Defang Ding Shicheng Zhu Qunlei Wen Huangjingwei Li Zhen Li Youwen Liu Yi Shen China Engineering Research center of Nano-Geomaterials of Ministry of education Faculty of Materials Science and ChemistryChina University of GeosciencesWuhan 430078China State Key Laboratory of Materials Processing and Die&Mould Technology and School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Alkaline hydrogen evolution reaction(HER)offers a near-zero-emission approach to advance hydrogen ***,the activity limited by the multiple reaction steps involving H_(2)O molecules transfer,absorption,and activation still unqualified the thresholds of economic ***,we proposed a multisite complementary strategy that incorporates hydrophilic Mo and electrophilic V into Ni-based catalysts to divide the distinct steps on atomically dispersive sites and thus realize sequential regulation of the HER *** Isotopic labeled in situ Raman spectroscopy describes 4-coordinated hydrogen bonded H_(2)O to be free H_(2)O passing the inner Helmholtz plane in the vicinity of the catalysts under the action of hydrophilic Mo ***,potential-dependent electrochemical impedance spectroscopy(EIS)reveals that electrophilic V sites with abundant 3d empty orbitals could activate the lone-pair electrons in the free H_(2)O molecules to produce more protic hydrogen,and dimerize into H_(2) at the Ni *** the sequential management of reactive H_(2)O molecules,NiMoV oxides multisite catalysts surpass Pt/C hydrogen evolution activity(49 mV@10 mA∙cm^(-2) over 140 h).Profoundly,this study provides a tangible model to deepen the comprehension of the catalyst–electrolyte interface and create efficient catalysts for diverse reactions.

关键词： hydrogen evolution activity complementary multisite catalysts sequential reactive water management interfacial water molecules

Hippocampal dopamine as a key regulator for learning deficits in Parkinson's disease

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Neural Regeneration Research 2024年第6期19卷 1193-1194页

作者： Kun Wu Shuai Liu Shanghai Key Laboratory of Brain Functional Genomics (Ministry of education) Affiliated Mental Health Center (ECNU) School of Psychology and Cognitive Science East China Normal University Shanghai Changning Mental Health center NYU-ECNU Institute of Brain and Cognitive science at NYU Shanghai

Parkinson’s disease(PD) is a progressive neurodegenerative disorder with clinical symptoms of involuntary or uncontrollable movements such as tremors,rigidity,and *** learning deficit is largely overlooked in the pas... 详细信息

关键词： MEMORY

Modifications in aroma characteristics of'Merlot'dry red wines aged in American,French and Slovakian oak barrels with different toasting degrees

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Food science and Human Wellness 2024年第1期13卷 381-391页

作者： Haocheng Lu Binhao Cheng Yibin Lan Changqing Duan Fei He center for Viticulture and Enology College of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing 100083China Key Laboratory of Viticulture and Enology Ministry of Agriculture and Rural AffairsBeijing 100083China

Aging in oak barrels is widely used in enology which could bring flavor changes and aromatic complexity to *** the present study,the aroma compounds were analyzed from the‘Merlot’dry red wines,which were fermented in two types of fermenters(stainless steel tank and rotated oak barrel)and aged in six types of oak barrels(three geographic origins×two toasting degrees)for different time(0,3,6 and 9 months,respectively).Results showed that 30 volatiles were associated with barrels and increased during oak *** fermenters could influence the intensities of the toast,leathery,smoky,fruity,floral and caramel *** concentration of whisky lactone,eugenol,cis-isoeugenol,and the intensities of the toast and spicy aromas were highest in the wines aged in American oak and were lowest in the wines aged in French oak *** concentrations of guaiacol,syringol,trans-isoeugenol,furfural alcohol,vanilla,cis-whisky lactone enabled the medium toasting barrels to be distinguished from the light toasting *** compounds originating from the barrels could be used to distinguish the types of different barrels,but the other general grape-derived and fermentation-derived volatiles could *** fermenters,oak species and toasting degrees of the barrels all had significant effects on the aroma profiles of the aged‘Merlot’dry red wines,but the influence of the geographic origin was not obvious.

关键词： Wine Aroma Oak Barrel Oak species Toasting degrees Geographic origin Aging