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Prediction and evaluation method of TVB-N values distribution in pork by hyperspectral imaging

International Journal of Agricultural and Biological Engineering 2021年第4期14卷 270-276页

作者： yuweiyi tang Xiwei Wang Xiaoyang Xing Zhong Li Maocheng Zhao College of Mechanical and Electronic Engineering Nanjing Forestry UniversityNanjing 210037China National Engineering Research Center of Biomaterials Nanjing Forestry UniversityNanjing 210037China Taizhou University Taizhou 225300JiangsuChina

Hyperspectral imaging makes it possible to map the spatial distribution of quality-indicating attributes over biological ***,inconsistencies may arise between these newly available qualitymaps of the same piece of the biological target from different chemometric ***,such inconsistency of the spatial prediction of the freshness-indicating attribute of total volatile basic nitrogen(TVB-N)over pork loins(Longissimus dorsi)was investigated in this work from the perspective of the accuracy and variation of pixel-wise prediction over the *** partial least square regression(PLSR)-based chemometric modelling was performed on the characteristic spectra of a target extracted from regions-of-interest(ROIs)of both the whole meat and the lean part only,after spectral preprocessing and spatial filtering,and coupled with waveband selection using successive projections algorithm(SPA).Results showed that all PLSR models achieved good and stable predictions of the average TVB-N values of pork loins,despite the differences of data-preprocessing or numbers of wavebands,with R2p being in the range from 0.832 to 0.889 for Meat-ROI and an even higher range from 0.846 to 0.912 if using Lean-ROIs,even with a reduced number of wavebands,accuracy remaining high in the range of R2p from 0.722 to 0.889 for Meat-ROIs and from 0.704 to 0.900 for *** contrast,however,devastating differences emerged between the predicted TVB-N distributions over a *** showed that excessive variation of pixel-wise predictions rendered utterly useless distribution maps resulted from a direct application of the PLSR or PLSR_SPA models from Meat or Lean ROIs,quantified by root-mean-error(RMSE)of pixel-wise predictions over 21.6 mg/100 g with PLSR,or even the worse with PLSR-SPA,shooting absurdly high about 55 mg/100 *** appropriate spatial filtering,the excessive between-pixel variation was suppressed to below 8.5 mg/100 g in RMSE,presenting visually be

关键词： pork TVB-N hyperspectral imaging prediction evaluation distribution PLSR SPA

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基于太赫兹光谱分析的猪肉K值无损检测方法

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农业机械学报 2017年第12期48卷 346-353页

作者：齐亮赵茂程赵婕唐于维一南京林业大学机械电子工程学院南京210037 南京师范大学分析测试中心南京210046 泰州学院泰州225300 南京工业职业技术学院航空工程学院南京210023

K值是评价猪肉新鲜度的重要指标,能够反映猪肉内核苷酸的分解情况,从而评定肉的变质程度。一般采用高效液相色谱法测定K值,此方法过程耗时,需破坏被测样品,不能满足生产和流通环节的快速检测需求。本文利用太赫兹(THz)光谱分析技术无损... 详细信息

K值是评价猪肉新鲜度的重要指标,能够反映猪肉内核苷酸的分解情况,从而评定肉的变质程度。一般采用高效液相色谱法测定K值,此方法过程耗时,需破坏被测样品,不能满足生产和流通环节的快速检测需求。本文利用太赫兹(THz)光谱分析技术无损检测猪肉K值,探索快速检测K值的可行性。在0.2~2 THz范围内,采用衰减全反射模式提取80份不同新鲜度的猪肉THz光谱数据,同时用高效液相色谱法测定每份样品的K值。THz光谱原始数据经过一阶微分和Savitzky-Golay平滑滤波后,分别用主成分回归(PCR)、偏最小二乘回归(PLSR)和反向传播神经网络回归(BP-ANN)建立了THz光谱预测猪肉K值的数学模型。研究表明:非线性BP-ANN模型预测精度最高,相关系数为0.75,均方根误差为14.36%;采用THz光谱数据BP-ANN模型能够检测猪肉的新鲜度K值。与HPLC方法相比,该方法具有快速、无损、简单的特点。

关键词：猪肉 K值太赫兹光谱反向传播神经网络回归无损检测

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光谱预处理对太赫兹光谱预测猪肉K值的影响

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食品科学 2018年第12期39卷 319-325页

作者：齐亮赵茂程赵婕唐于维一南京林业大学机械电子工程学院江苏南京210037 南京师范大学分析测试中心江苏南京210046 泰州学院江苏泰州225300 南京工业职业技术学院航空工程学院江苏南京210023

采用太赫兹(terahertz,THz)光谱分析技术无损检测猪肉的新鲜度K值,但水会强烈吸收THz波,从而严重影响THz波对肉的检测。考察预处理方法对削弱水的干扰、提升THz光谱检测猪肉K值的模型性能的影响。分别采用多元散射校正、标准正态变量变... 详细信息

采用太赫兹(terahertz,THz)光谱分析技术无损检测猪肉的新鲜度K值,但水会强烈吸收THz波,从而严重影响THz波对肉的检测。考察预处理方法对削弱水的干扰、提升THz光谱检测猪肉K值的模型性能的影响。分别采用多元散射校正、标准正态变量变换、一阶微分、二阶微分4种预处理方法对衰减全反射光谱进行预处理,基于反向传播人工神经网络回归算法建立猪肉K值的THz光谱预测模型,比较研究4种预处理方法后的模型预测精度。研究表明:一阶微分预处理方法效果最好,能够消除光谱基线漂移,提高光谱质量。与原始光谱相比,模型的预测集相关系数(R_p)从0.34提高到0.75,预测集均方根误差从20.24%降低到14.36%。因此,选择合适的光谱预处理技术对提高模型预测精度非常重要,采用一阶微分预处理后的THz光谱数据建立反向传播人工神经网络模型能够无损检测猪肉的新鲜度K值。

关键词：太赫兹光谱预处理 K值反向传播人工神经网络无损检测

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Harboring CAR-T cells using an injectable scaffold to treat solid tumors

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National Science Review 2024年第5期11卷 91-92页

作者： Li tang Institute of Bioengineering (IBI) école polytechnique fédérale de Lausanne (EPFL)

Genetic expression of chimeric antigen receptors (CAR) enables T cells to target and kill cancer cells in an MHCindependent manner, resulting in a potent antitumor response [1]. To date, more than 10 CAR-T cell products have been approved globally for the treatment of hematologic disorders such as relapsed/refractory B-cell acute lymphoblastic leukemia, non-Hodgkin lymphoma, and multiple myeloma [2,3].

关键词： IMMUNOTHERAPY CANCER

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Topologically protected entanglement switching around exceptional points

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Light(Science & Applications) 2024年第8期13卷 1631-1644页

作者： Zan tang Tian Chen Xing tang Xiangdong Zhang Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education Beijing Key Laboratory of Nanophotonics&Ultrafine Optoelectronic SystemsSchool of PhysicsBeijing Institute of Technology100081 BeijingChina

The robust operation of quantum entanglement states is crucial for applications in quantum information,computing,and communications^(1–3).However,it has always been a great challenge to complete such a task because of decoherence and ***,we propose theoretically and demonstrate experimentally an effective scheme to realize robust operation of quantum entanglement states by designing quadruple degeneracy exceptional *** encircling the exceptional points on two overlapping Riemann energy surfaces,we have realized a chiral switch for entangled states with high *** to the topological protection conferred by the Riemann surface structure,this switching of chirality exhibits strong robustness against perturbations in the encircling ***,we have experimentally validated such a scheme on a quantum walk *** work opens up a new way for the application of non-Hermitian physics in the field of quantum information.

关键词： exceptional quantum Riemann

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An economic way to achieve all-weather CO2 reduction

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National Science Review 2024年第3期11卷 46-47页

作者： Junwang tang Department of Chemical Engineering University College London

Utilising solar power to convert carbon dioxide（CO2） into hydrocarbon fuels presents an eco-friendly method to address dependence on fossil fuels and contribute to a net-zero CO2emission goal[1,2].

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UAV-assisted data collection for wireless sensor networks with dynamic working modes

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Digital Communications and Networks 2024年第3期10卷 805-812页

作者： Jie Chen Jianhua tang Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou511442China

Wireless Sensor Network(WSN)is a cornerstone of Internet of Things(IoT)and has rich application *** this work,we consider a heterogeneous WSN whose sensor nodes have a diversity in their Residual Energy(RE).In this work,to protect the sensor nodes with low RE,we investigate dynamic working modes for sensor nodes which are determined by their RE and an introduced energy ***,we employ an Unmanned Aerial Vehicle(UAV)to collect the stored data from the heterogeneous *** aim to jointly optimize the cluster head selection,energy threshold and sensor nodes’working mode to minimize the weighted sum of energy con-sumption from the WSN and UAV,subject to the data collection rate *** this end,we propose an efficient search method to search for an optimal energy threshold,and develop a penalty-based successive convex approximation algorithm to select the cluster *** we present a low-complexity iterative approach to solve the joint optimization problem and discuss the implementation *** results justify that our proposed approach is able to reduce the energy consumption of the sensor nodes with low RE significantly and also saves energy for the whole WSN.

关键词： Unmanned aerial vehicle Wireless sensor networks Cluster heads Dynamic working modes

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Highly effective design of high GFA alloys with different metalbased and various components by machine learning

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Science China(Technological Sciences) 2024年第5期67卷 1431-1442页

作者： tang YiChuan HE YiFan FAN ZhuoQun WANG ZhongQi tang ChengYing Guangxi Key Laboratory for Informational Materials School of Materials Science and EngineeringGuilin University of Electronic TechnologyGuilin541004China

The glass-forming ability(GFA)is of great significance for the development of novel functional metal-based metallic *** this study,seven popular machine learning(ML)algorithms were employed to design novel M-based(M=Fe,Co,Ni,Ti,Zr,and rare earth metal(RE))and X-component(X=2,3,4,5,6,and>6)alloys with excellent GFA.A GFA containing 6957 data points with structural analysis was *** engineering was used to analyze the importance and correlation of *** algorithms were utilized for GFA prediction,revealing that Xtreme Gradient Boosting Trees exhibited the strongest predictive capability,achieving a high accuracy of 94.0%,a true positive rate of 97.6%,and a root mean squared error of 0.3705 across the entire ***,the GFA of ternary to hexahydroxy alloys based on Fe,Co,Ni,Zr,Ti,and Y was predicted using all possible compositions generated through ***,a series of alloys with good GFA was successfully designed and *** present work suggests that the proposed ML method can be utilized to design novel multiple-M-based amorphous alloys with high GFA.

关键词： machine learning amorphous alloy feature engineering materials design glass forming ability

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Characteristic Analysis of Power Oscillations Caused by Disharmony Among Voltage-source-controlled Units in Three-terminal Local Power Grid

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1295-1308页

作者： Qiyi Yu Yi tang School of Electrical Engineering Southeast UniversityNanjing 210018China

Previous studies have demonstrated that disharmo-ny among voltage-source-controlled units(VSCUs)may occur on an alternating current(AC)transmission or distribution line under steady-state operating conditions(SSOCs)or quasi-static operating conditions(QSSOCs).As the studies on frequency dis-harmony have been expanded to multiple disharmonized vS-CUs in the local power grid,its adverse effects on AC lines and equivalent load(EL)at the bus without active voltage control ability(non-active bus)need to be investigated ***-ering the locality of disharmony and common topological con-nections among VSCUs,this paper adopts a Y-type three-termi-nal local power grid(LPG)as the research *** dishar-mony among the three VSCUs is ***,for the load at non-active bus,the formulas for single-phase instantaneous voltage,load current,load power,as well as average power un-der disharmony operating conditions(DOCs)are *** characteristic indicators of the above electrical quantities are defined,which can measure the amplification and reduction de-grees of the above electrical quantities before and after ***,for the line directly connected to VSCUs,the formulas for single-phase instantaneous line current and power and the average power under DOCs are *** character-istic indicators of power flow are defined,which can be used to quantify the peak amplification impact of oscillation before and after ***,the case study on the Y-type three-terminal LPG under the single-disharmony and the multi-dis-harmony switching scenarios indicates that the long-period pow-er oscillation caused by disharmony may occur in the load flow at the non-active bus and the line *** oscillation causes a serious decrease in load capability and a significant amplifica-tion of the peak of line power oscillation.

关键词： New power system power oscillation disharmony voltage-source-controlled unit(VSCU) characteristic analysis

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Nuclear charge radius predictions by kernel ridge regression with odd-even effects

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Nuclear Science and Techniques 2024年第2期35卷 94-102页

作者： Lu tang Zhen-Hua Zhang Mathematics and Physics Department North China Electric Power UniversityBeijing 102206China Hebei Key Laboratory of Physics and Energy Technology North China Electric Power UniversityBaoding 071000China

The extended kernel ridge regression(EKRR)method with odd-even effects was adopted to improve the description of the nuclear charge radius using five commonly used nuclear *** are:(i)the isospin-dependent A^(1∕3) formula,(ii)relativistic continuum Hartree-Bogoliubov(RCHB)theory,(iii)Hartree-Fock-Bogoliubov(HFB)model HFB25,(iv)the Weizsacker-Skyrme(WS)model WS*,and(v)HFB25**** the last two models,the charge radii were calculated using a five-parameter formula with the nuclear shell corrections and deformations obtained from the WS and HFB25 models,*** each model,the resultant root-mean-square deviation for the 1014 nuclei with proton number Z≥8 can be significantly reduced to 0.009-0.013 fm after considering the modification with the EKRR *** best among them was the RCHB model,with a root-mean-square deviation of 0.0092 *** extrapolation abilities of the KRR and EKRR methods for the neutron-rich region were examined,and it was found that after considering the odd-even effects,the extrapolation power was improved compared with that of the original KRR *** strong odd-even staggering of nuclear charge radii of Ca and Cu isotopes and the abrupt kinks across the neutron N=126 and 82 shell closures were also calculated and could be reproduced quite well by calculations using the EKRR method.

关键词： Nuclear charge radius Machine learning Kernel ridge regression method

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