检索结果-南通市图书馆

Hyperspectral detection of walnut protein contents based on improved whale optimized algorithm

在线全文

学校读者我要写书评

暂无评论

International Journal of Agricultural and Biological Engineering 2022年第6期15卷 I0035-I0041页

作者： Yao Zhang zezhong tian Wenqiang Ma Man Zhang Liling Yang Key Laboratory of Smart Agriculture System Integration Ministry of EducationChina Agricultural UniversityBeijing 100083China Agricultural Mechanization Institute Xinjiang Academy of Agricultural SciencesUrumqi 830091China

Nondestructive and accurate estimation of walnut kernel protein content is important for food quality grading and profitability improvement of walnut *** image technology provides potential solutions for walnuts nutrients detection by obtaining both spectral and textural ***,the redundancy and large computation of spectral data prevent the widespread application of hyperspectral technology for high throughput *** walnut kernel protein inversion from hyperspectral image,this study proposed a novel feature selection method,which is named as improved whale optimized algorithm(IWOA).In the IWOA,a comprehensive feature selection criterion was applied in the iterative process,which fully considered the relevance of spectra information with target variables,representative ability of the selected wavebands to entire spectra,and redundancy of the selected *** in the relevance with target variables,the amplitude and shape characteristics of the spectra were both taken into *** wavelengths around 996,1225,1232,1377,1552,1600,1691 and 1700 nm were then selected as the sensitive wavelengths to walnut *** wavelengths showed good correlation with certain chemical compounds related to protein contents *** three protein prediction models were *** analysis and comparison,the model based on the selected wavelengths got better results with the one based on the full *** to the models based on solely spectral information,the model that combine spectral and textural information outperformed and got the best prediction *** R2 in the calibration group was 0.9047,and the root mean square errors(RMSE)was 11.1382 g/*** the validation group,the R2 was 0.8537,and the RMSE was 18.9288 g/*** results demonstrated that the combination of the selected wavelengths through the IWOA with the textural characteristics could effectively estimate walnut prot

关键词： walnut protein hyperspectral image whale optimized algorithm feature selection textural indicator

Dose-response effect of coenzyme Q10 supplementation on blood pressure in Patients with cardiometabolic diseases:A systematic review and meta-analysis of randomized controlled trials

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Dose-response effect of coenzyme Q10 supplementation on bloo...

中国营养学会第十五届全国营养科学大会

作者： Dan Zhao zezhong tian Ying Liang Suming Dai Shanshan Hou Zhihao Liu Meitong Liu YIqiang Zhan Yan Yang School of Public Health (Shenzhen) Sun Yat-sen University Guangdong Provincial Key Laboratory of Food Nutrition and Health Sun Yat-sen University Guangdong Engineering Technology Center of Nutrition Transformation Sun Yat-sen University

As one of the modifiable risks for cardiometabolic disorders, high blood pressure is associated with the strongest evidence for causation and it has a high prevalence of exposure with 31.1% of adults worldwide. Coenzyme Q10, known as ubiquinone due to its ubiquitous distribution in nature, is a lipid-soluble molecule derived mainly from endogenous synthesis. There is evidence that coenzyme Q10 deficiency has been implicated in CMD conditions, and coenzyme Q10 supplementation may have beneficial effects on blood pressure. However, the anti-hypertensive effect of coenzyme Q10 supplementation still remains controversial in patients with cardiometabolic disorders, and the effective dose of coenzyme Q10 in this respect is unknown yet. We aimed to determine the efficacy of coenzyme Q10 supplementation on blood pressure and assess the dose-response relationship via synthesizing available evidence from randomized controlled trials. Sources of Support: This work was supported by the National Natural Science Foundation of China(No. 82030098, 81872617 and 81730090), Shenzhen Science, Technology, and Innovation Commission(No. JCYJ20180307153228190), and CNS Research Fund for DRI. Methods A comprehensive literature search was performed in 3 databases(PubMed, Embase and Cochrane Library) up to 15 th October 2020. A novel 1-stage restricted cubic spline regression model was used to evaluate the non-linear dose-response relation between coenzyme Q10 and blood pressure. Evidence certainty was assessed using Grading of Recommendations, Assessment, Development, and Evaluation methods. Twenty-two studies comprising 1603 subjects were included in our meta-analysis. Results Coenzyme Q10 supplementation could significantly reduce systolic blood pressure(SBP)(-2.62 mmHg, 95% CI:-5.15,-0.08) in patients with cardiometabolic disorders;this reduction was accompanied by 1.83(95% CI: 1.39, 2.28) μg/ml elevation of circulating coenzyme Q10 compared with the control group. Subgroup analyses revea

关键词： CoQ10 supplementation cardiometabolic diseases blood pressure dose-response meta-analysis

Effects of Coenzyme Q10 Supplementation on Glycemic Control in Adults: A Systematic Review and Dose-Response Meta-analysis of Randomized Controlled Trials

在线全文

cnki会议

学校读者我要写书评

暂无评论

Effects of Coenzyme Q10 Supplementation on Glycemic Control ...

中国营养学会第十五届全国营养科学大会

作者： Ying Liang zezhong tian Dan Zhao Qiuhua Ji Meitong Liu Suming Dai Shanshan Hou Zhihao Liu Yan Yang School of Public Health (Shenzhen) Sun Yat-sen University Guangdong Provincial Key Laboratory of Food Nutrition and Health Sun Yat-sen University Guangdong Engineering Technology Center of Nutrition Transformation Sun Yat-sen University China-DRIs Expert Committee on Other Food Substances Sun Yat-sen University

Glucose metabolism disorder has been recognized as one of the cores of multiple metabolic disorders, and associated with increased cardiometabolic risk. Patients with disorder of glucose metabolism are at high risk of developing hyperglycemia-related cardiovascular diseases or metabolic diseases, including diabetes, obesity, dyslipidemia. CoenzymeQ10(CoQ10), or ubiquinone, is an endogenous enzyme cofactor produced by most human cells. Clinical trials of the effects of supplementary CoQ10 on glycemic control have reported inconsistent results. In addition, the current reviews are lack of an analysis of the optimal intake dose of CoQ10 supplementation. We aimed to investigate the efficacy of CoQ10 supplementation on glycemic control and evaluate the dose–response relationship by integrating the existing evidence randomized control trials(RCTs). Sources of Support: This work was supported by the National Natural Science Foundation of China(No. 82030098, 81872617 and 81730090), Shenzhen Science, Technology, and Innovation Commission(No. JCYJ20180307153228190), and CNS Research Fund for DRI. Methods A systemic literature search in three databases(PubMed, Embase, and Cochrane Library) was conducted to identify RCTs investigating the efficacy of CoQ10 supplementation on fasting glucose, fasting insulin, HbA1 C, and HOMA-IR up to 30 October 2021. Weighted mean difference(WMD) and 95% confidence intervals(CIs) were calculated for net changes in glycemic control. Evidence certainty was assessed using Grading of Recommendations, Assessment, Development, and Evaluation(GRADE) methods. Dose-response relationship between dosage of CoQ10 and glycemic control was evaluated using 1-stage restricted cubic spline regression model. Results Forty studies with a total of 2,427 subjects were included in the metaanalysis. Overall, CoQ10 supplement could significantly reduce fasting glucose(WMD:-5.22 mg/dl;95% CI:-8.33,-2.11 mg/dl;P < 0.001), fasting insulin(WMD:-1.32 μIU/ml;95% CI:-2.06,-0

关键词： CoQ10 glycemic control GREAD dose-response meta-analysis

Effects of coenzyme Q10 supplementation on biomarkers of oxidative stress: a systematic review and meta-analysis of data from 34 randomized controlled trials

在线全文

cnki会议

学校读者我要写书评

暂无评论

Effects of coenzyme Q10 supplementation on biomarkers of oxi...

中国营养学会第十五届全国营养科学大会

作者： Suming Dai zezhong tian Dan Zhao Ying Liang Qiuhua Ji Meitong Liu Shanshan Hou Zhihao Liu Yan Yang Department of Nutrition School of Public Health(Shenzhen) Sun Yat-sen University Guangdong Provincial Key Laboratory of Food Nutrition and Health Sun Yat-sen University Guangdong Engineering Technology Center of Nutrition Transformation Sun Yat-sen University China-DRIs Expert Committee on Other Food Substances Sun Yat-sen University

Oxidative stress, the imbalance between oxidation processes and antioxidant defenses, is involved in the pathological process of several chronic diseases. Coenzyme Q10(CoQ10) is a lipid-soluble molecule mainly biosynthesized by body itself. However, under the higher OS status in chronic diseases, endogenously synthesized CoQ10 could not meet the needs. Nowadays, accumulating randomized controlled trials(RCTs) have been conducted to explore whether CoQ10 supplementation could attenuate oxidative stress status, with the overall effects varying in the separate settings. Thus, we expanded on the pervious RCTs by performing this systematic review and meta-analysis to evaluate the role of CoQ10 supplements on oxidative stress biomarkers(including TAC, SOD and MDA) in adults and the association of intervention characteristics and patient characteristics with the effect of CoQ10 on oxidative stress biomarkers. Sources of Support: This work was supported by the National Natural Science Foundation of China(No. 82030098, 81872617 and 81730090), Shenzhen Science, Technology, and Innovation Commission(No. JCYJ20180307153228190), and CNS Research Fund for DRI. Methods We followed the guideline of the Preferred Reporting Items for Systematic Reviews and Meta-analyses(PRISMA) protocol for conducting systematic reviews and meta-analyses normatively. A comprehensive search for the time period until October, 2021 was completed in the online databases including PubMed/Medline, Embase and Cochrane library database. A fixed or random-effects model was utilized to estimate the standardized mean differences(SMD) and 95% confidence interval(95%CI). The Isquare(I^2) statistic and Cochran’s Q test were performed to assess the heterogeneity between the included studies. Results Thirty-four RCTs(including thirty-nine arms) between 1997 and 2020 were included in the present study. Meta-analysis of these included studies revealed the pooled effects of a significant increase in TAC(SMD: 1.83, 95%C

关键词： Coenzyme Q10 Oxidative stress Total antioxidant capacity Superoxide dismutase Malondialdehyde Meta-analysis

Identification of new biomarkers after coenzyme Q10 supplementation in subjects with dyslipidemia using non-targeted metabolomics based on UPLC-MS/MS

在线全文

cnki会议

学校读者我要写书评

暂无评论

Identification of new biomarkers after coenzyme Q10 suppleme...

中国营养学会第十五届全国营养科学大会

作者： zezhong tian Zhiying Fan Qiuhua Ji Ying Liang Dan Zhao Huiying Kuang Meitong Liu Weimin Xiao Guowu Yang Yan Yang School of Public Health (Shenzhen) Sun Yat-sen University Guangdong Provincial Key Laboratory of Food Nutrition and Health Sun Yat-sen University Baotou Medical College

Cardiovascular metabolic diseases are the leading cause of death worldwide, and their pathogenesis has attracted much attention. Non-Targeted metabolomics serves as a more important approach for exploring their pathogenesis in recent years. The use of coenzyme Q10(CoQ10) as an adjuvant treatment with routine clinical therapy against the risks of cardiovascular disease has shown benefits. However, there is still no study to explore the potential biomarkers related to the risks of cardiovascular metabolic diseases after coenzyme Q10 intervention via the application of non-targeted metabolomics. The aim of the present work is to determine the biological effects of Coenzyme Q10 on new biomarkers related to the risks of cardiovascular metabolic diseases via the nontargeted metabolomics approach. Sources of Support: This work was supported by the National Natural Science Foundation of China(No. 82030098, 81872617 and 81730090), and Shenzhen Science, Technology, and Innovation Commission(No. JCYJ20180307153228190). Methods In this randomized, double-blinded, placebo-controlled trial, 95 dyslipidemic subjects without taking any hypoglycemic or hypolipidemic drugs were administrated to 120 mg CoQ10 or placebo daily for 24 weeks. Ultra-performance liquid chromatography coupled with Triple TOF 5600 plus(UPLC-MS/MS) was used to analyze the serum metabolites of subjects with 24-week coenzyme Q10 supplementation or 24-week placebo. The treatments of acquired MS data and LC-MS data were performed using XCMS software and R software. The online KEGG, HMDB database was used to annotate the metabolites by matching the exact molecular mass data(m/z) of samples with those from the database. Results The non-targeted approach shows that after 24-weeks consumption of coenzyme Q10 significantly changes several metabolites related to cardiovascular metabolic diseases. After 24-weeks coenzyme Q10 supplementation, a total of 5 different metabolites associated with biosynthesis of unsaturated f

关键词： coenzyme Q10 non-targeted metabolomics randomized controlled trial

在线全文

cnki会议

学校读者我要写书评

暂无评论

农田生态系统碳通量遥感估算方法研究

农业机械学报 2022年第S1期53卷 224-231页

作者：吴江梅田泽众张海洋刘凯迪李民赞张瑶中国农业大学信息与电气工程学院北京100083 中国农业大学智慧农业系统集成研究教育部重点实验室北京100083

为实现农田生态系统碳通量动态监测,提出一种基于Landsat系列多源遥感数据的农田生态系统碳通量估算方法。以美国东北部内布拉斯加州大学农业研发中心的3块试验田地为研究区域,并结合AmeriFlux公开的对应通量站点数据进行后续建模分析... 详细信息

为实现农田生态系统碳通量动态监测,提出一种基于Landsat系列多源遥感数据的农田生态系统碳通量估算方法。以美国东北部内布拉斯加州大学农业研发中心的3块试验田地为研究区域,并结合AmeriFlux公开的对应通量站点数据进行后续建模分析。从气候变量、土壤性质、植物性状3方面综合出发,优选与农田生态系统碳通量密切相关的遥感因子,构建覆盖农田生态过程关键环节的全遥感要素数据集。随后,构建基于随机森林(Random forest,RF)的农田碳通量回归预测模型,相比于岭回归模型和套索模型,该模型在农田生态系统碳通量估算方面效果更优,其决定系数(Coefficient of determination,R^(2))达到0.94,均方根误差(RMSE)为4.281 g/(m^(2)·d)。基于随机森林模型进行因子的重要性分析可知,DVI、NDWI、MSAVI、NRI、NDVI对碳通量估算的贡献度分别为35.6%、25.8%、12.2%、7.8%、5.2%。在以上研究基础上,通过农田生态系统碳收支时空演变特性分析可知,内布拉斯加州2013年作物生育期内的7、8月时农田碳汇能力最强,在种植初期大豆和玉米均呈现弱碳源,且玉米的碳源能力更强,在生长高峰期时玉米和大豆均呈碳汇,且玉米碳汇能力更强。本研究为农田生态系统碳收支精准估算,进而指导农业生产提供理论支持。

关键词：农田生态系统二氧化碳净交换量随机森林多源卫星遥感玉米大豆

在线全文

学校读者我要写书评

暂无评论

储能电池有机电极材料改性策略研究进展

物理化学学报 2024年第2期40卷 20-50页

作者：辛燕葛运年李泽中张桥保田华军华北电力大学电站能量传递转化与系统教育部重点实验室华北电力大学能源动力与机械工程学院厦门大学材料学院固体表面物理化学国家重点实验室

有机电极材料因其成本低、资源丰富、环境友好、可设计性等优势，成为具有发展潜力的二次电池候选电极材料。目前，种类丰富的有机电极材料已应用在各种金属离子电池体系，然而有机电极材料的商业化应用仍面临着诸多挑战，如本征电导率... 详细信息

有机电极材料因其成本低、资源丰富、环境友好、可设计性等优势，成为具有发展潜力的二次电池候选电极材料。目前，种类丰富的有机电极材料已应用在各种金属离子电池体系，然而有机电极材料的商业化应用仍面临着诸多挑战，如本征电导率低、在有机电解液中溶解度大、放电电位低等。针对有机电极材料的技术瓶颈，大量研究聚焦在有机电极材料结构、工艺、尺度等改性优化方面。本文回顾有机电极材料的发展历程和应用，并总结其分类、反应机理及主要问题和挑战，进而详细综述有机电极材料已报道的改性策略，包括分子结构修饰、复合导电碳、纳米尺寸优化、电极-电解液耦合与制备工艺优化等方法，分析各改性方法优势和局限性，最后对未来有机电极材料改性研究方向进行展望，为今后有机电极材料的设计与研究提供参考。

关键词：有机电极材料改性策略分子结构设计溶解度导电率

基于IGWO算法的冬小麦作物-土壤全氮含量一体化监测

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

农业机械学报 2021年第S1期52卷 304-309,359页

作者：田泽众张瑶张海洋孙红李民赞中国农业大学信息与电气工程学院北京100083 中国农业大学现代精细农业系统集成研究教育部重点实验室北京100083

为对冬小麦作物-土壤全氮含量进行一体化监测,提出一种基于改进灰狼优化算法(Improved grey wolf optimization algorithm,IGWO)的冬小麦作物-土壤全氮含量共同冠层高光谱特征波长选择方法。以河南省漯河市郾城区的40块拔节期冬小麦农... 详细信息

为对冬小麦作物-土壤全氮含量进行一体化监测,提出一种基于改进灰狼优化算法(Improved grey wolf optimization algorithm,IGWO)的冬小麦作物-土壤全氮含量共同冠层高光谱特征波长选择方法。以河南省漯河市郾城区的40块拔节期冬小麦农田为研究区,通过采集冬小麦冠层反射光谱,结合实验室测定精确全氮含量,利用IGWO算法选择冬小麦作物-土壤共同特征波长。结果表明,相较于遗传算法(Genetic algorithm,GA)等其他仿生学优化算法,改进灰狼优化算法可以选择冬小麦作物-土壤共同冠层反射光谱特征波长。在随机森林(Random forest,RF)回归模型下,冬小麦作物和土壤全氮含量测试集的决定系数(Coefficient of determination,R^(2))分别为0.7888和0.7534。与其他仿生学算法相比,IGWO选择的特征波长405、495、582、731、808 nm预测性能最佳,能够有效利用全谱信息且符合冬小麦生理特征。改进灰狼优化算法能够选择冬小麦作物-土壤共同的冠层反射光谱特征波长,实现对冬小麦作物-土壤全氮含量的较高精度估计,可作为估测田间冬小麦作物-土壤全氮含量的有效途径。

关键词：冬小麦高光谱作物-土壤一体化监测全氮灰狼优化算法特征选择

基于光谱数据降维的农田土壤-作物全氮含量协同检测

在线全文

学校读者我要写书评

暂无评论

农业机械学报 2021年第S1期52卷 310-315页

作者：张瑶崔云天邓秋卓吴孟璇李民赞田泽众中国农业大学现代精细农业系统集成研究教育部重点实验室北京100083

为了提高农田土壤-作物全氮一体化检测精度,以冬小麦冠层光谱为研究对象,定量分析了4种数据降维方法(保持邻域嵌入法(NPE)、t分布随机近邻嵌入法(t-SNE)、拉普拉斯映射法(LE)和局部线性嵌入法(LLE))在冠层光谱特征提取及作物、土壤全氮... 详细信息

为了提高农田土壤-作物全氮一体化检测精度,以冬小麦冠层光谱为研究对象,定量分析了4种数据降维方法(保持邻域嵌入法(NPE)、t分布随机近邻嵌入法(t-SNE)、拉普拉斯映射法(LE)和局部线性嵌入法(LLE))在冠层光谱特征提取及作物、土壤全氮含量检测精度。分别采集了豫麦49-198、周麦27、矮抗58和西农509等4个品种的冬小麦在4个施氮水平下的作物冠层光谱反射率以及对应的作物、土壤全氮含量。选取波段400~900 nm的可见光与部分近红外波段分别进行NPE、t-SNE、LE以及LLE数据降维处理,随后在4组降维特征的基础上,建立了随机森林回归模型。对比全谱信息以及4组降维特征在作物、土壤全氮含量的预测性能表明,利用LLE-RF混合方法取得了最优的氮素预测效果,作物全氮含量预测决定系数R^(2)_(v)为0.9150,预测均方根误差(RMSEP)为0.2212 mg/kg;土壤全氮含量预测决定系数R^(2)_(v)为0.8009;RMSEP仅为0.0085 mg/kg,均优于原始全谱数据以及其他3组降维特征。实验结果表明,利用LLE降维后得到的特征光谱信息可有效地表征作物全氮含量以及土壤全氮含量。

关键词：冬小麦土壤全氮含量协同检测数据降维光谱数据