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In-line spectroscopy combined with multivariate analysis methods for endpoint determination in column chromatographic adsorption processes for herbal medicine 认领 引用 被引量：4
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作者 Cheng Jiang Haibin Qu 《Acupuncture and Herbal Medicine》 2022年第4期253-260,共8页
Objective: In a chromatographic cycle, the adsorption process is a critical unit operation that has a significant impact on downstream processes and, ultimately, the quality of the final products. The development of a... Objective: In a chromatographic cycle, the adsorption process is a critical unit operation that has a significant impact on downstream processes and, ultimately, the quality of the final products. The development of a rapid method to determine the endpoints of adsorption processes in a large-scale manufacturing is of substantial importance for herbal medicine(HM) manufacturers.Methods: In this study, the adsorption of saponins on a macroporous resin column chromatograph, a critical unit operation in Panax notoginseng(Burkill) F.H.Chen injection manufacturing, was considered as an example. The evaluation results of in-line ultraviolet and visible spectra combined with various multivariate analysis methods, including the moving block standard deviation(MBSD), difference between the moving block average and the target spectrum(DMBA-TS), soft-independent modeling of class analogy(SIMCA), and partial least-squares discriminant analysis(PLS-DA), were compared.Results: MBSD was unsuitable for adsorption processes. The relative standard errors of prediction between the predicted and experimental endpoints were 13.2%, 4.67%, and 5.71% using DMBA-TS, SIMCA, and PLS-DA, respectively.Conclusions: Among the considered analysis methods, SIMCA and PLS-DA were more effective for endpoint determination. The results of this study provide a more comprehensive overview of the effectiveness of various multivariate analysis methods to facilitate the selection of the most suitable method. This study was also conducive to address the issues of the in-line detection of adsorption endpoints to guide practical HM manufacturing. 展开更多
关键词 Adsorption Endpoint Herbal medicine Multivariate analysis Ultraviolet and visible
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Multivariate analysis of serum surface-enhanced Raman spectroscopy of liver cancer patients 认领 引用 被引量：1
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作者 Qiwen Wang Sen Wang +3 位作者 Shengdong Cui Deyuan Yang Zheng Huang Shusen Xie 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2022年第5期74-82,共9页
Early diagnosis of liver cancer plays a significant role in reducing its high mortality.In this preliminary study,the feasibility of using serum surface-enhanced Raman spectroscopy(SERS)to identify liver cancer was st... Early diagnosis of liver cancer plays a significant role in reducing its high mortality.In this preliminary study,the feasibility of using serum surface-enhanced Raman spectroscopy(SERS)to identify liver cancer was studied.Serum samples were obtained from liver cancer patients and healthy controls.The differences between the SERS spectra of pre-operation and postoperation of liver cancer patients were also analyzed.The general shape and trend of SERS spectra of health control and liver cancer patients were similar.Multivariate analysis,e.g.,PLSSVM,might be useful for the discrimination of serum SERS spectra of pre-operation and post-operation. 展开更多
关键词 Surface-enhanced Raman spectroscopy(SERS) serum liver cancer multivariate analysis
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ASSESSMENT OF LOCAL INFLUENCE IN MULTIVARIATE ANALYSIS 认领 引用 被引量：3
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作者 石磊 王学仁 《Acta Mathematica Scientia》 SCIE 1996年第3期257-264,165+266-270,共8页
A recent method for assessing the local influence is introduced by Cook(1986), in which the normal curvature of the influence graph based on the likelihood displacement is used to monitor the influence of small pertur... A recent method for assessing the local influence is introduced by Cook(1986), in which the normal curvature of the influence graph based on the likelihood displacement is used to monitor the influence of small perturbation. Since then this method has been applied to various kind of models. However, the local influence in multivariate analysis is still an unexplored area because the influence for many statistics in multivariate analysis is not convenient to handle based on the Cook's likelihood displacement. In this paper, we suggest a method with a slight modification in Cook's approach to assess the local influence of small perturbation on a certain statistic. The local influence of the perturbation on eigenvalue and eigenvector of variance-covariance matrix in theoretical and sample version is assessed, some results for the other statistics in multivariate analysis such as generalized variance, canonical correlations are studied. Finally, two examples are analysed for illustration. 展开更多
关键词 multivariate analysis normal curvature perturbation scheme local influence
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A New Fracability Evaluation Approach for Shale Reservoirs Based on Multivariate Analysis: A Case Study in Zhaotong Shale Gas Demonstration Zone in Sichuan, China 认领 引用
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作者 LIU Shanyong LI Lin +2 位作者 YUAN Yuan LOU Yishan LI Zhonghui 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2019年第4期1005-1014,共10页
Fracability characterizes the effectiveness of hydraulic fracturing.The existing assessment methods cannot reflect the actual value of the effectiveness due to a lack of comprehensive consideration and neglect of the ... Fracability characterizes the effectiveness of hydraulic fracturing.The existing assessment methods cannot reflect the actual value of the effectiveness due to a lack of comprehensive consideration and neglect of the influences of engineering factors.This study aims to solve this problem by implementing geological static data and production dynamic data in multivariate analysis in Zhaotong shale gas demonstration zone.First,the reservoir quality index(RQI)was introduced to evaluate the exploration potential by integrating the geological parameters with gray relational analysis.Moreover,the differences in fracturing fluid types and proppant sizes were considered,and the operating parameters were normalized on the basis of the equivalence principle.Finally,the general reservoir fracability index(GRFI)was proposed based on a dimensioned processing of the various parameters.A case study was conducted to verify the accuracy and feasibility of this new approach.The results demonstrate that(1)the organic carbon and gas content are adjusted to contribute the most to the calculation of the RQI,while the effective porosity contributes the least;(2)the fracturing scale is the main operating parameter determining the fracability,which has the strongest correlation with the effectiveness of fracking;and(3)the GRFI has a positive correlation with shale gas production,and the lower limit of the GRFI of 2,000 corresponds to a daily production of 50,000 m3/d;this value is defined as the threshold value of a stripper well.The GRFI is consistent with the productivity trend of shale gas wells in the research block,which suggests that the new model is accurate and practical for well candidate selection. 展开更多
关键词 fracability multivariate analysis equivalence principle network fracturing shale gas
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Multivariate analysis of the risk for pulmonary complication after gastrointestinal surgery 认领 引用
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作者 Shan-PingJiang Zhi-YingLi +3 位作者 Li-WenHuang WeiZhang Zhi-QiangLu Zhi-YongZheng 《World Journal of Gastroenterology》 SCIE CAS 2005年第24期3735-3741,共7页
AIM: To identify the risk factors for postoperative pulmonary complications (PPC) after gastrointestinal surgery. METHODS: A total of 1 002 patients undergoing gastrointestinal surgery in the Second Affiliated Hospita... AIM: To identify the risk factors for postoperative pulmonary complications (PPC) after gastrointestinal surgery. METHODS: A total of 1 002 patients undergoing gastrointestinal surgery in the Second Affiliated Hospital, Sun Yat-Sen University, during December 1999 and December 2003, were retrospectively studied. RESULTS: The overall incidence of PPC was 22.8% (228/ 1 002). Multivariate logistic analysis identified nine risk factors associated with PPC, including age odds ratio (OR = 1.040) history of respiratory diseases (OR = 2.976), serum albumin (OR = 0.954), chemotherapy 2 wk before operation (OR = 3.214), volume of preoperative erythrocyte transfusion (OR = 1.002), length of preoperative antibiotic therapy (OR = 1.072), intraoperative intratracheal intubation (OR = 1.002), nasogastric intubation (OR = 1.050) and postoperative mechanical ventilation (OR = 1.878). Logistic regression equation for predicting the risk of PPC was P(1) =q/[1+e-(-3.488+0.039×+1.090×Rd+0.001×Rbc-0.0047×Alb+0.002×Lii+ 0.049×Lni+0.630×Lmv+0.070×Dat+1.168×a)]. 展开更多
关键词 Postoperative pulmonary complications Gastrointestinal surgery Multivariate analysis
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Multivariate Analysis of Community Structure Variation of Plankton and Zoobenthos in Municipal Polluted River 认领 引用
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作者 麦戈 利锋 +2 位作者 吴昌华 段志鹏 曾祥云 《Agricultural Science & Technology》 CAS 2012年第8期1776-1780,共5页
[Objective] The plankton and macrobenthos samples in municipal polluted river were analyzed by different methods, so as to explore the method suitable for biological data analysis in heavy polluted area. [Method] Shan... [Objective] The plankton and macrobenthos samples in municipal polluted river were analyzed by different methods, so as to explore the method suitable for biological data analysis in heavy polluted area. [Method] Shannon-Wiener diversity index, cluster analysis of multivariate statistical analysis and MDS （Non-matric Multi- dimentional Scaling）analysis were used to analyze biological data of phytoplankton, zooplankton and Zoobenthos collected from the representative municipal polluted river in Pearl River Delta. The sediment samples were also collected to determine. Pb, Cd, Hg, Cr, As, Cu, Ni, Zn, as well as CODe, and NH3-N of porewater. Hakanson potential ecological risk index method was used to evaluate the ecological risk. [Re- suit] Shannon-Wiener diversity index analysis results can not effectively reflect the difference of pollution status of various stations in heavy polluted area; despite the presence of some problems, multivariate analysis method is superior to the Shannon-Wiener diversity index method in biological monitoring of heavy polluted river in the city. [Conclusion] The paper provided theoretical basis for biological data analysis in heavy polluted area. 展开更多
关键词 Municipal polluted river Plankton Multivariate analysis Shannon-Wiener diversity index
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Groundwater quality assessment using multivariate analysis,geostatistical modeling, and water quality index(WQI): a case of study in the Boumerzoug-El Khroub valley of Northeast Algeria 认领 引用 被引量：5
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作者 Oualid Bouteraa Azeddine Mebarki +2 位作者 Foued Bouaicha Zeineddine Nouaceur Benoit Laignel 《Acta Geochimica》 EI CAS CSCD 2019年第6期796-814,共19页
In this study,the analytical data set of 26 groundwater samples from the alluvial aquifer of Boumerzoug-E1 khroub valley has been processed simultaneously with Multivariate analysis,geostatistical modeling,WQI,and geo... In this study,the analytical data set of 26 groundwater samples from the alluvial aquifer of Boumerzoug-E1 khroub valley has been processed simultaneously with Multivariate analysis,geostatistical modeling,WQI,and geochemical modeling.Cluster analysis identified three main water types based on the major ion contents,where mineralization increased from group 1 to group 3.These groups were confirmed by FA/PCA,which demonstrated that groundwater quality is influenced by geochemical processes(water-rock interaction)and human practice(irrigation).The exponential semivariogram model WQI.Groundwater chemistry has a strong spatial structure for Mg,Na,Cl,and NO3,and a moderate spatial structure for EC,Ca,K,HCO3,and SO4.Water quality maps generated using ordinary Kriging are consistent with the HCA and PCA results.All water groups are supersaturated with respect to carbonate minerals,and dissolution of kaolinite and Ca-smectite is one of the processes responsible for hydrochemical evolution in the area. 展开更多
关键词 Groundwater Multivariate analysis Geostatistical modeling Geochemical modeling Mineralization Ordinary Kriging
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Hydrogeochemical processes and multivariate analysis for groundwater quality in the arid Maadher region of Hodna,northern Algeria 认领 引用
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作者 Tahar Selmane Mostefa Dougha +2 位作者 Mahmoud Hasbaia Ahmed Ferhati Ali Redjem 《Acta Geochimica》 EI CAS CSCD 2022年第5期893-909,共17页
This study focused on water quality and hydrogeochemical processes(evolution,origin)in the Maadher region,central Hodna in Algeria.In recent decades,the excessive exploitation of this resource due to urbanization,irri... This study focused on water quality and hydrogeochemical processes(evolution,origin)in the Maadher region,central Hodna in Algeria.In recent decades,the excessive exploitation of this resource due to urbanization,irrigation,and the effect of climate change reaching the countries of northern Africa have caused a decline in water levels and hydrochemical changes in the aquifer.The sampling campaign in 2019 based on 13 physicochemical parameters was carried out on the water from 32 boreholes in the study area,compared to data archives of both sampling campaigns in 1967 and 1996.The result revealed that the groundwater as a whole has moderate freshwater quality,due to its total dissolved solids(TDS)content and other dissolved ions of concern(nitrate NO),which exceed WHO standards.In addition,Piper diagram indicates that the hydrochemical facies of sulfate–chloride–nitrate–calcium(SO–Cl–NO–Catype),which globally characterizes the study area and these elements are the dominant dissolved ions.Principal component analysis and hierarchical cluster analysis(HCA)methodologies are applied in order to define the major control factors that affect the hydrochemistry of Maadher plain.Three distinct water groups were found,illustrating a different evolution of salinity(EC and TDS).The HCA indicated an interesting cluster with a distinct contamination signature and most likely with significantly higher sulfate,chloride,and nitrate concentrations.Anthropogenic processes also play an important role in the study area.The water resource comes from Bousaada Wadi,the exchange at the aquifer depth and the agricultural practices contribute to the deterioration of the quality. 展开更多
关键词 Groundwater quality Hydrogeochemical processes Multivariate analysis Salinity Mio-Plio-Quaternary aquifer
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Multivariate analysis for ordination and comparison of size of Artemia cysts 认领 引用
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作者 Tang Senming 《Acta Oceanologica Sinica》 SCIE CAS 1998年第4期537-544,共8页
It is known that the biometrics of brine shrimp cysts is of strain inherent. The analysis and comparison of the cyst charcters for the identification of unknown cysts from different geqraphical origin become mpible. I... It is known that the biometrics of brine shrimp cysts is of strain inherent. The analysis and comparison of the cyst charcters for the identification of unknown cysts from different geqraphical origin become mpible. In this paper, multivallate methods, mainly Principle Component Analysis (PCA) and Nonmetric Multi-dimensional Scaling (MDS), are used for the purpose. od results are gained with the analysis of the published data and some row data from cyst sizes. It shows that multivariate methods can cluster the similar characteristics of batch cysts and make out impure or mingled cysts of different origin. Amng others, MDS, with row data from the cyst measurement, can be easily used for the analysis of cyst ordination and comparison. The result demonstrates that the cysts of Chinese parthenopnetic brine shrimp are well discriminated by their geographic locations along the coastal China with larger size disttibuting in the south. 展开更多
关键词 Artemia,cyst biometrics multivariate analysis
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The Method for Optimum Estimation of COVID-19 Variant Type Virus Infection Status Analysis by the Multivariate Analysis Considering the Environmental Variability Impact in Japan 认领 引用
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作者 Eiji Toma Yukinori Kobayashi 《Journal of Applied Mathematics and Physics》 2022年第2期425-448,共24页
Currently, the estimated value of the effective reproduction number (ERN), which is an index for grasping the COVID-19 infection status, is used for important planning and evaluation of infection prevention measures. ... Currently, the estimated value of the effective reproduction number (ERN), which is an index for grasping the COVID-19 infection status, is used for important planning and evaluation of infection prevention measures. Since ERN in the Sequential SIR model fluctuates in multiple dimensions due to changes in the surrounding environment, it is difficult to set the appropriate accuracy of the uncertainty region of the estimated data. The challenge in this study is to build a mathematical model of infectious disease according to the characteristics and data characteristics of the infectious disease and select an appropriate estimation method. Highly accurate quantitative research that analyzes the validity of “how infectious diseases prevail” from an academic point of view is the key to prediction and estimation in appropriate infection situation analysis. In this study, we adopted a statistical multivariate analysis method (T method) that enables evaluation and prediction of important factors related to ERN estimation and analysis of phenomena that change in real time (time series analysis). It was clarified that it is possible to estimate with higher accuracy by applying the T method to the estimated value of ERN by the current SIR mathematical model. 展开更多
关键词 COVID-19 Sequential SIR Model Effective Reproduction Number Multivariate Analysis Method T-Method Regression Analysis
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Factors contributing to myasthenic crisis after thymectomy-a multivariate analysis study 认领 引用
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作者 马金山 《外科研究与新技术（中英文）》 2011年第3期157-157,共1页
Objective To evaluate the risk factors of myasthenic crisis (MC) after thymectomy for myasthenia gravis (MG) . Methods A retrospective study was conducted in 84 patients with MG from July 1995 to December 2009. The fo... Objective To evaluate the risk factors of myasthenic crisis (MC) after thymectomy for myasthenia gravis (MG) . Methods A retrospective study was conducted in 84 patients with MG from July 1995 to December 2009. The following factors were evaluated: sex,age,history of preoperative myasthenic crisis,Ossermen classification, steroid hormones use and anticholinesterase drugs before operation,operation methods,operation time,thymoma, 展开更多
关键词 Factors contributing to myasthenic crisis after thymectomy-a multivariate analysis study
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Multivariate Analysis of Femoral Adductor Muscle Contracture after Total Hip Arthroplasty in Patients with Avascular Necrosis of Femoral Head 认领 引用
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作者 Lin Meng Dong Zhang +3 位作者 Qing Wei Xinli Zhan Jinhong Cai Hongyu Li 《Journal of Clinical and Nursing Research》 2020年第6期1-7,共7页
Objective:This study is to investigate the nisk factors of femoral head contracture after total hip arthroplasty(THA)in patients with avascular necrosis of femoral head.Methods:Retrospective analysis was perfomed in 3... Objective:This study is to investigate the nisk factors of femoral head contracture after total hip arthroplasty(THA)in patients with avascular necrosis of femoral head.Methods:Retrospective analysis was perfomed in 361 cases of femoral head necrosis patients taking THA fom September 2016 to December 2017.A total of 179 patents with no significant preoperative adductor muscle contraction were finally enrolled in this study.These 179 patients were further divided into two groups:contracture group(64 cases)and noncompaction group(115 cases).The chi-square test was used to compare the differences between the two groups.Risk factors were identifed by logistic regession analysis.Results:of the patients included,64 patients (35.75%)developed into end adductor muscle contracture.There were signuificant differences in limb shortening.surgical history,whether taction,surgical approach,surgical methods,and fumctional training between the two goups(P<0.05).Logistic regression analysis showed that shortness of extremity,sugical approach,effective taction,surgical history,and etiology were the factors affecting femoral head contracture after THA in patients with avascular necrosis of femoral head.Conclusions:Preoperative traction therapy,surgical methods,and postoperative functional training are the factors that affect the adductor muscle contraction after THA. 展开更多
关键词 Femoral head necrosis Total hip arthroplasty,Risk factors,Multivariate analysis
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Multivariate analysis for the blood bank (BB) reorganization in transfusional medecine department (TMD) in Italy 认领 引用
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《中国输血杂志》 CAS 2001年第S1期
关键词 TMD BB in Italy Multivariate analysis for the blood bank
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Exploring anxiolytic peptides derived from walnut protein by an integrated approach of multivariate analysis,random forest methodology 认领 引用
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作者 Zishan Hong Ying Cheng +6 位作者 Mingjie Zhou Shuguang Wang Xiaomin Li Shiyun Feng Guowan Su Lin Zheng Mouming Zhao 《Food Bioscience》 SCIE 2025年第4期1447-1461,共15页
Anxiety disorder is a prevalent mental health issue globally.Walnuts,known as“brain food,”exhibit neuroprotective effects and alleviate anxiety symptoms.However,the specific sequences of walnut peptides that possess... Anxiety disorder is a prevalent mental health issue globally.Walnuts,known as“brain food,”exhibit neuroprotective effects and alleviate anxiety symptoms.However,the specific sequences of walnut peptides that possess anxiolytic properties and their mechanisms remain unclear.In this study,we prepared walnut protein hydrolysates(WPHs)through controlled enzymatic hydrolysis and evaluated their neuroprotective effects in a corticosterone(CORT)-induced PC12 cell injury model.The results showed that WPH-Alc,WPH-Try,and WPHAci exhibited more significant differences compared to WPH-Fla in regulating serotonin(5-HT)levels,antioxidant stress(GSH-Px,SOD),and reducing inflammatory responses(TNF-α,NOS2,IL-6)(p<0.05).Using peptidomics analysis,combined with an integrated approach of multivariate analysis and random forest methodology,we identified four peptides:Leu-Pro-Leu-Leu(LPLL),Asn-Leu-Pro-Leu-Leu(NLPLL),Tyr-Leu(YL),and Val-Tyr(VY).In the zebrafish larva light/dark anxiety model,these peptide-treated groups demonstrated significant anxiolytic effects.Furthermore,in aγ-aminobutyric acid(GABA)inhibitor pentylenetetrazol(PTZ)-induced excitotoxicity model,the peptides significantly reduced the total moving distance,average speed,and number of movements in zebrafish,with VY showing the most pronounced effect.Molecular docking revealed that the peptides could stably bind to the Ser-205 and Tyr-210 residues of GABAAR primarily through hydrogen bonds and hydrophobic interactions facilitated by hydrophobic and aromatic amino acids.This study provides robust evidence for the neuroprotective role of walnut peptides in anxiety management and offers new directions for future research. 展开更多
关键词 Walnut Anxiolytic peptides Peptidomics Multivariate analysis Random forests GABAA receptor
Impact of blast design parameters on rock fragmentation in sub-level caving:A multivariate regression approach 认领 引用
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作者 Ahmadreza Khodayari Chaoshui Xu +3 位作者 Peter Dare-Bryan Peter Dowd Veljko Lapcevic Andrew Metcalfe 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第5期3348-3364,共17页
Sub-level caving(SLC)is a mass mining method suitable for large,steeply dipping orebodies.The particle size distribution(PSD)of blasted material affects material flow through the stope.Improving blast-induced fragment... Sub-level caving(SLC)is a mass mining method suitable for large,steeply dipping orebodies.The particle size distribution(PSD)of blasted material affects material flow through the stope.Improving blast-induced fragmentation can enhance draw point extraction,increasing ore recovery,reducing dilution,and lowering costs in loading and crushing.Numerical simulations using the Mechanistic Blasting Model(MBM)explored these improvements.MBM simulates the explosive loading,rock fracturing,and dynamic explosive gas effects.It addresses uneven explosive distribution from fan-shaped blast holes and complex broken ground conditions.The simulations used Ernest Henry Mine(EHM)data to define the baseline blast design and rock mass and compared field and modelled fragmentation sizes for varying explosive densities and burden sizes.Then,MBM simulations incorporated different rock mass fracture densities,tensile strengths and in-situ stresses,and further blast design changes in the blasthole diameter and charge spacings.A total of 34 scenarios were modelled.Multivariate regression analysis identified key parameters,and new regression models for P20,P50,and P80 passing sizes were developed and validated against the EHM and MBM simulation data.Additional simulations confirmed that while regression predictive models were slightly less accurate,they provided efficient predictions with acceptable accuracy. 展开更多
关键词 Sublevel caving Mechanistic blast model Ernest Henry mine Multivariate regression analysis Particle size distribution
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Recent developments in multivariate pattern analysis for functional MRI 认领 引用 被引量：6
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作者 Zhi Yang Fang Fang Xuchu Weng 《Neuroscience Bulletin》 SCIE CAS CSCD 2012年第4期399-408,共10页
Multivariate pattern analysis（MVPA） is a recently-developed approach for functional magnetic resonance imaging（fMRI） data analyses.Compared with the traditional univariate methods,MVPA is more sensitive to subtle ... Multivariate pattern analysis（MVPA） is a recently-developed approach for functional magnetic resonance imaging（fMRI） data analyses.Compared with the traditional univariate methods,MVPA is more sensitive to subtle changes in multivariate patterns in fMRI data.In this review,we introduce several significant advances in MVPA applications and summarize various combinations of algorithms and parameters in different problem settings.The limitations of MVPA and some critical questions that need to be addressed in future research are also discussed. 展开更多
关键词 multivariate analysis fMRI pattern recognition computational biology
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Analysis of fatty acid composition of sea cucumber Apostichopus japonicus using multivariate statistics 认领 引用 被引量：2
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作者 徐勤增 高菲 +1 位作者 许强 杨红生 《Chinese Journal of Oceanology and Limnology》 CSCD 2014年第6期1314-1319,共6页
Fatty acids(FAs) provide energy and also can be used to trace trophic relationships among organisms.Sea cucumber Apostichopus japonicus goes into a state of aestivation during warm summer months.We examined fatty acid... Fatty acids(FAs) provide energy and also can be used to trace trophic relationships among organisms.Sea cucumber Apostichopus japonicus goes into a state of aestivation during warm summer months.We examined fatty acid profiles in aestivated and non-aestivated A.japonicus using multivariate analyses(PERMANOVA,MDS,ANOSIM,and SIMPER).The results indicate that the fatty acid profiles of aestivated and non-aestivated sea cucumbers differed significantly.The FAs that were produced by bacteria and brown kelp contributed the most to the differences in the fatty acid composition of aestivated and nonaestivated sea cucumbers.Aestivated sea cucumbers may synthesize FAs from heterotrophic bacteria during early aestivation,and long chain FAs such as eicosapentaenoic(EPA) and docosahexaenoic acid(DHA) that produced from intestinal degradation,are digested during deep aestivation.Specific changes in the fatty acid composition of A.japonicus during aestivation needs more detailed study in the future. 展开更多
关键词 fatty acid （FAs） Apostichopusjaponicus aestivation multivariate analysis
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Subnanometer-resolved chemical imaging via multivariate analysis of tip-enhanced Raman maps 认领 引用 被引量：1
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作者 Song Jiang Xianbiao Zhang +7 位作者 Yao Zhang Chunrui Hu Rui Zhang Yang Zhang Yuan Liao Zachary J Smith Zhenchao Dong JG Hou 《Light: Science & Applications》 SCIE EI CSCD 2017年第1期382-389,共8页
Tip-enhanced Raman spectroscopy(TERS)is a powerful surface analysis technique that can provide subnanometer-resolved images of nanostructures with site-specific chemical fingerprints.However,due to the limitation of w... Tip-enhanced Raman spectroscopy(TERS)is a powerful surface analysis technique that can provide subnanometer-resolved images of nanostructures with site-specific chemical fingerprints.However,due to the limitation of weak Raman signals and the resultant difficulty in achieving TERS imaging with good signal-to-noise ratios(SNRs),the conventional single-peak analysis is unsuitable for distinguishing complex molecular architectures at the subnanometer scale.Here we demonstrate that the combination of subnanometer-resolved TERS imaging and advanced multivariate analysis can provide an unbiased panoramic view of the chemical identity and spatial distribution of different molecules on surfaces,yielding high-quality chemical images despite limited SNRs in individual pixel-level spectra.This methodology allows us to exploit the full power of TERS imaging and unambiguously distinguish between adjacent molecules with a resolution of~0.4 nm,as well as to resolve submolecular features and the differences in molecular adsorption configurations.Our results provide a promising methodology that promotes TERS imaging as a routine analytical technique for the analysis of complex nanostructures on surfaces. 展开更多
关键词 chemical imaging hyperspectral imaging multivariate analysis nanoimaging tip-enhanced Raman spectroscopy
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Multivariate analysis of subjective evaluation of indoor lighting environment 认领 引用 被引量：3
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作者 Jingyun Shen Zhiwei Lian 《Frontiers of Architectural Research》 CSCD 2021年第3期614-624,共11页
Though subjective feelings affected by lighting have been studied a lot,multivariate experimental studies are lacking in this research field.Central composite rotatable design(CCRD)was applied to investigate the influ... Though subjective feelings affected by lighting have been studied a lot,multivariate experimental studies are lacking in this research field.Central composite rotatable design(CCRD)was applied to investigate the influence of illuminance,correlated color temperature(CCT)and illuminance uniformity on satisfaction in this study.A series of subject experiments were carried out and polynomial regression models of luminous satisfaction for different activity scenarios were generated.Illuminance and CCT affected the satisfaction significantly in visual task scenarios,and the effect of them was independent with each other,which was demonstrated by the regression model(R2=0.89).The variation of luminous satisfaction in general activity scenarios cannot be fully explained by the three investigated factors.The results contributed to the knowledge of multivariate analysis of luminous environment and indicated that much could be expected referring to the application of CCRD in this field. 展开更多
关键词 Lighting satisfaction Multivariate analysis Illuminance CCT Uniformity Central composite rotatable design City
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The Impact and Significance of Prenatal Blood Analysis on Postpartum Hemorrhage in Advanced-Age Primiparous Women 认领 引用
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作者 Xiaosu Huang Chunhong Pan +1 位作者 Yuhua Wu Zhichun Wei 《Asia Pacific Journal of Clinical Medical Research》 2026年第3期1-6,共6页
Objective:To investigate the correlation between prenatal plasma fi brinogen,D-dimer,hemoglobin,and platelet levels and postpartum hemorrhage in primiparous women of advanced maternal age.Methods:Fifty elderly primipa... Objective:To investigate the correlation between prenatal plasma fi brinogen,D-dimer,hemoglobin,and platelet levels and postpartum hemorrhage in primiparous women of advanced maternal age.Methods:Fifty elderly primiparous women who delivered without postpartum hemorrhage and 50 who experienced postpartum hemorrhage were assigned to the control and experimental groups,respectively.Five milliliters of fasting venous blood were collected from each woman between 31 and 33 weeks of gestation.FIB,D-dimer,Hb,and PLT levels were measured using a fully automated hematology analyzer.Multivariate logistic regression analysis was performed,and ROC curves were plotted.Results:Compared with the control group,the experimental group showed statistically signifi cant diff erences in FIB and Hb levels(P0.05).FIB and PLT were identifi ed as independent risk factors for postpartum hemorrhage,and both may contribute to the occurrence of postpartum hemorrhage.Conclusion:FIB and PLT showed signifi cant correlations with postpartum hemorrhage,suggesting that FIB and PLT may contribute to the development of postpartum hemorrhage. 展开更多
关键词 Advanced Maternal Age FIB D-D Hb PLT Postpartum Hemorrhage Multivariate Logistic Regression Analysis ROC Curve
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