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Identification and Conservation State of Painted Wall Plasters at the Funerary House in Necropolis of Tuna El-Gebel, El-Minia-Upper Egypt
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作者 Nabil A. Abd El-Tawab Bader Abdelkareem E. Ahmed 《Open Journal of Geology》 2017年第7期923-944,共22页
During this study, the principal aim carried out was to obtain more information about technique and conservation conditions of the Egyptian wall paintings during the Roman period in the funerary house in necropolis of... During this study, the principal aim carried out was to obtain more information about technique and conservation conditions of the Egyptian wall paintings during the Roman period in the funerary house in necropolis of Tuna el-Gabal, El-Minia-Upper Egypt. It’s going back to 2nd century AD and involves different sites of Ptolemaic and Roman chapels;some are in the immaculate established style while others are a blend of Pharaonic-Greek style and both are secured with mural painting. Deterioration problems observed on the wall paintings of the funerary house are, loss of plaster layers, disintegration of plaster layers, loss of paint layers (blistering and peeling), discoloration and severely damaged owing to a lot of deterioration factors as weakness of mud brick support, deterioration of surface treatments and to the widespread presence of different salts. The materials used in the painting, preparation layers and the state of conservation of the mural painting at funerary house were investigated by integrated physio-chemical measurements, particularly micro-Raman spectroscopy (&#181;Raman), light optical microscopy (LOM), scanning electron microscopy (SEM) coupled with an energy dispersive X-ray analysis system (EDX), X-ray powder diffraction (XRD) and Fourier transform infrared (FT-IR). In addition, the morphology of multilayer plaster from wall painting was investigated using atomic force microscopy (AFM). A wide color palette utilized as a part of the necropolis has been identified with mineral pigments and pigment mixtures. It is found that, the paints were based on an organic binder and traditional pigments (azurite, hematite, ochre, vegetable black) were used as colorants on plaster. The examination demonstrated that the preparatory layer is verging on made of pure lime while the plaster layer based mainly of lime and gypsum with variable amounts of quartz. The obtained results provided information about the painting technique, chemical composition, crystal structure in addition to the stratigraphy of the paint layers and the state of preservation and on the causes of the painting deterioration. Furthermore, the obtained results can be used in the conservation and restoration interventions of these sites. 展开更多
关键词 tuna el-gebel ROMAN Mortuary Houses PIGMENTS Raman Microscopy Atomic Force MICROSCOPE (AFM)
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基于ConvLSTM-CNN预测太平洋长鳍金枪鱼时空分布趋势
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作者 杜艳玲 马玉玲 +3 位作者 汪金涛 陈珂 林泓羽 陈刚 《海洋通报》 CAS CSCD 北大核心 2024年第2期174-187,共14页
海洋渔场的变动由空间与环境因子共同驱动,渔场时空演变信息的精准预测是海洋捕捞的关键。本研究利用1995-2018年太平洋海域长鳍金枪鱼(Thunnus alalunga)的渔业生产统计数据,结合同期海洋环境数据包括海表面温度(Sea Surface Temperatu... 海洋渔场的变动由空间与环境因子共同驱动,渔场时空演变信息的精准预测是海洋捕捞的关键。本研究利用1995-2018年太平洋海域长鳍金枪鱼(Thunnus alalunga)的渔业生产统计数据,结合同期海洋环境数据包括海表面温度(Sea Surface Temperature,SST)、海表面盐度(Sea Surface Salinity,SSS)、初级生产力(Primary Productivity,PP)和溶解氧浓度(Dissolved Oxygen Concentration,DO),提出了一种融合卷积长短期记忆网络(Convolutional Long Short-Term Memory Networks,ConvLSTM)和卷积神经网络(Convolutional Neural Networks,CNN)的渔场时空分布预测模型。该模型引入特征提取模块,对时空因子进行编码,提取时空特征信息,同时采用CNN提取海洋环境变量的抽象特征,采用ConvLSTM提取渔业数据的高层时空关联信息,最后融合多种特征对渔场时空演变趋势进行预测。结果表明,模型的均方根误差为0.1036,较随机森林、BP神经网络和长短期记忆网络(Long Short Term Memory,LSTM)等传统渔场预报模型的预测误差降低15%~40%,预测的高产渔区与实际作业的高渔获量区匹配度为89%。该研究构建的渔场时空预测模型能够准确地预测出太平洋长鳍金枪鱼的时空分布,为太平洋长鳍金枪鱼的延绳钓渔业提供科学参考依据。 展开更多
关键词 长鳍金枪鱼 时空分布 融合卷积长短期记忆网络 卷积神经网络 太平洋
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基于改进金枪鱼群算法PMSM自抗扰控制
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作者 阎馨 李文磊 +1 位作者 屠乃威 侯利民 《电力电子技术》 2024年第1期27-31,35,共6页
针对传统永磁同步电机(PMSM)调速系统在受到外部环境干扰、参数易变等不确定性因素的影响下系统鲁棒性变差的问题,提出一种基于改进金枪鱼群优化(ITSO)算法的PMSM自抗扰控制(ADRC)策略。首先,针对ADRC中fal函数在拐点处不平滑的问题,提... 针对传统永磁同步电机(PMSM)调速系统在受到外部环境干扰、参数易变等不确定性因素的影响下系统鲁棒性变差的问题,提出一种基于改进金枪鱼群优化(ITSO)算法的PMSM自抗扰控制(ADRC)策略。首先,针对ADRC中fal函数在拐点处不平滑的问题,提出了一种改进fal函数,减小了系统的高频抖振。其次,由于ADRC中参数多且不易整定,利用ITSO算法对参数进行寻优整定。为了避免电流环在采用比例积分(PI)控制时电流控制存在抗负载能力差、响应速度慢等问题,将降低电感权值后的改进型无差拍预测控制应用到电流环。最后,进行仿真和半实物实验验证,结果表明所提控制策略具有良好的系统响应和控制精度,明显提高了系统的鲁棒性。 展开更多
关键词 永磁同步电机 自抗扰控制 金枪鱼群优化算法
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基于网络搜索数据的GDP组合预测研究
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作者 王书平 卢子晗 冀承秀 《黑龙江科学》 2024年第8期44-48,共5页
网络搜索数据(Web Search Data, WSD)是研究宏观经济现象的重要微观信息依据。从需求、供给与政策环境等方面选取和筛选关键词来合成网络搜索指数,采用金枪鱼群(Tuna Swarm Optimization, TSO)算法优化的最小二乘支持向量回归(Least Squ... 网络搜索数据(Web Search Data, WSD)是研究宏观经济现象的重要微观信息依据。从需求、供给与政策环境等方面选取和筛选关键词来合成网络搜索指数,采用金枪鱼群(Tuna Swarm Optimization, TSO)算法优化的最小二乘支持向量回归(Least Squares Support Vector Regression, LSSVR)模型,对GDP进行预测。结果表明,网络搜索指数与GDP具有强相关性,合成的网络搜索指数能较好地反映GDP的波动走势;网络搜索数据的加入使得预测结果呈现出强时效性,预测效果及预测精度都取决于对最优模型的选择,引入参数智能优化算法可提高模型的预测性能。提出的TSO-LSSVR&WSD模型充分利用网络搜索数据及组合预测优势,提高了GDP的预测精度和时效性,可应用于宏观经济指标预测中。 展开更多
关键词 GDP预测 组合预测 网络搜索数据 金枪鱼群算法 LSSVR模型
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增强型金枪鱼群优化指数熵的砂粒显微图像分割
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作者 王梦菲 王卫星 +1 位作者 徐琨 李理敏 《光学精密工程》 EI CAS CSCD 北大核心 2024年第8期1199-1211,共13页
砂粒显微图像分割可以辅助地质评估,但因其种类繁多,特征复杂,为分割的准确度带来了挑战。针对该类图像提出一种增强型金枪鱼群优化指数熵的分割方法(ETSO-EXP),可以有效保留各类砂粒的纹理特征。首先,针对金枪鱼群优化算法(TSO)在全局... 砂粒显微图像分割可以辅助地质评估,但因其种类繁多,特征复杂,为分割的准确度带来了挑战。针对该类图像提出一种增强型金枪鱼群优化指数熵的分割方法(ETSO-EXP),可以有效保留各类砂粒的纹理特征。首先,针对金枪鱼群优化算法(TSO)在全局搜索与局部开发上的若干不足,提出了混沌扰动策略、动态权重策略和余弦干扰策略对其增强,基准函数实验表明ETSO大幅提高了收敛精度,小幅提高了收敛速度。其次,将ETSO用于确定EXP的分割阈值,以分割图像的信息量为标准验证了该方案的可行性。最后,在雅鲁藏布江砂粒显微图像数据集上进行分割实验,与TSO-EXP相比,ETSO-EXP分割的图像在峰值信噪比、结构相似性、特征相似度和寻优速度的评估上分别达到了18.78%,6.85%,4.16%和3.83%的提升,在同类分割方法中性能最优。结果表明,分割方法ETSO-EXP对于对比度较高、纹理丰富或砂粒碎屑尺寸差异较大的图像都具有较高的分割精度和计算速度。 展开更多
关键词 砂粒显微图像 图像分割 指数熵 金枪鱼群优化
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叶醛/玉米醇溶蛋白纳米纤维膜的制备及其在金枪鱼保鲜中的应用 被引量:2
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作者 崔方超 周闪闪 +5 位作者 张星晖 王当丰 檀茜倩 任丽琨 励建荣 李婷婷 《食品工业科技》 CAS 北大核心 2024年第5期309-318,共10页
为开发新型包装材料延长金枪鱼货架期,以玉米醇溶蛋白(Zein,ZN)和叶醛(Leaf aldehyde,LA)为原料采用同轴静电纺丝技术制备LA/ZN抗菌纳米纤维膜,通过扫描电子显微镜、红外光谱、差示扫描量热分析LA/ZN纳米纤维膜的形貌和结构并探究了纤... 为开发新型包装材料延长金枪鱼货架期,以玉米醇溶蛋白(Zein,ZN)和叶醛(Leaf aldehyde,LA)为原料采用同轴静电纺丝技术制备LA/ZN抗菌纳米纤维膜,通过扫描电子显微镜、红外光谱、差示扫描量热分析LA/ZN纳米纤维膜的形貌和结构并探究了纤维膜的抗菌机制,考察了LA/ZN纳米纤维膜对金枪鱼的保鲜效果。结果表明,LA/ZN纳米纤维膜的具有线性形态、表面光滑,纤维直径均匀分布于475~575 nm;LA在玉米醇溶蛋白中的包封是一个物理过程,在静电纺丝过程中,成分之间没有发生化学相互作用;加入LA后,膜的初始熔化温度有所降低;LA具有广谱抑菌性,能够使细菌细胞壁和细胞膜受到损伤,胞内蛋白质、DNA等大分子物质泄漏,导致细菌死亡。此外,4℃金枪鱼保鲜实验结果表明LA/ZN纳米纤维膜能有效降低鱼肉菌落总数、挥发性盐基氮含量以及组胺含量,延缓鱼肉质地劣变,使金枪鱼片的货架期延长3 d。LA/ZN纳米纤维膜良好的保鲜性能有望在水产品保鲜得到应用。 展开更多
关键词 叶醛/玉米醇溶蛋白 同轴静电纺丝 纳米纤维膜 金枪鱼 保鲜
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热处理对金枪鱼蛋白乳液稳定性的影响
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作者 高飞 余海霞 +1 位作者 张小军 王晋 《食品工业科技》 CAS 北大核心 2024年第11期86-92,共7页
热处理是影响蛋白乳液稳定性的重要因素,本文研究了不同热处理温度(30、50、70、80、90℃,30 min)对金枪鱼蛋白乳液理化性能的影响。结果表明,与未进行热处理的样品相比,经过热处理的蛋白乳液乳化性能发生显著变化(P<0.05)。随着热... 热处理是影响蛋白乳液稳定性的重要因素,本文研究了不同热处理温度(30、50、70、80、90℃,30 min)对金枪鱼蛋白乳液理化性能的影响。结果表明,与未进行热处理的样品相比,经过热处理的蛋白乳液乳化性能发生显著变化(P<0.05)。随着热处理温度的上升,金枪鱼蛋白乳液的表面疏水性、黏度、Zeta电位、乳化活性和乳化稳定性均呈现先增大再减小的趋势。加热温度在30~70℃范围内,蛋白二级结构展开,疏水性基团暴露,乳液黏度增大,液滴粒径减小,乳液稳定性增加;加热温度超过70℃后,蛋白分子重新聚集,与油滴结合的氨基酸残基重新进入蛋白质内部,液滴出现絮凝现象,乳液也变得不稳定。SDS-PAGE图谱显示70℃热处理30 min能够提升油-水界面蛋白质吸附量,液滴分布均匀,粒径达到最小值102.6 nm,黏度达到最大为43.87 Pa·s,贮藏28 d后没有出现乳析现象,乳液状态最稳定。综上,适当的热处理能提升金枪鱼蛋白乳液的稳定性。 展开更多
关键词 金枪鱼蛋白 热处理 乳液 温度 稳定性
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基于金枪鱼群算法优化极限学习机的混凝土抗压强度预测
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作者 张博吾 耿秀丽 《计算机应用研究》 CSCD 北大核心 2024年第2期444-449,共6页
混凝土抗压强度是建筑结构设计与评价的一个重要指标,它直接关乎建筑的质量与安全。为解决现有机器学习模型对其预测存在预测耗时长、精度不够高,不能很好地满足施工现场对混凝土抗压强度预测实时性与准确性要求的问题,提出一套基于新... 混凝土抗压强度是建筑结构设计与评价的一个重要指标,它直接关乎建筑的质量与安全。为解决现有机器学习模型对其预测存在预测耗时长、精度不够高,不能很好地满足施工现场对混凝土抗压强度预测实时性与准确性要求的问题,提出一套基于新式仿生算法金枪鱼群算法优化极限学习机(TSO-ELM)的混凝土抗压强度预测方法。该方法通过对ELM隐藏层初始参数中的连接权值与偏置值使用TSO进行寻优,有效提升了ELM的预测准确度。在仿真实验部分,通过两组混凝土数据集对ELM的预测速度、TSO的寻优能力、TSO-ELM模型的泛化性逐一进行验证。结果表明,该方法可以有效提高预测的速度与精准度,迭代次数更少,同时具有良好的泛化性,为现场施工及时进行混凝土抗压强度的预测提供了一种新方法。 展开更多
关键词 混凝土 抗压强度 金枪鱼群优化算法 极限学习机 软测量
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基于TSO-ELM的广东省电力需求预测方法
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作者 陈晓华 吴杰康 +4 位作者 龙泳丞 王志平 蔡锦健 杨宜豪 周旭展 《黑龙江电力》 CAS 2024年第1期1-5,共5页
针对极限学习机(extreme learning machine,ELM)的输入层权值以及隐含层偏值的不同取值对预测结果影响较大和现有的预测模型对广东省电力需求预测精度不高的问题,提出一种基于金枪鱼群优化(tuna swarm optimization,TSO)算法优化ELM得... 针对极限学习机(extreme learning machine,ELM)的输入层权值以及隐含层偏值的不同取值对预测结果影响较大和现有的预测模型对广东省电力需求预测精度不高的问题,提出一种基于金枪鱼群优化(tuna swarm optimization,TSO)算法优化ELM得到最优数值,构建TSO-ELM预测模型的方法。将2008—2018年广东省的6个影响因素和电力需求量数据进行归一化处理之后构建预测模型,对2019—2021年广东省的电力需求量进行预测。仿真结果表明,与SVM、BP、ELM和GWO-ELM这4种预测模型相比较,TSO-ELM预测模型具有更高的预测精度。 展开更多
关键词 金枪鱼群优化算法 极限学习机 电力需求预测 平均绝对百分比误差 均方根相对误差
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南海黄鳍金枪鱼性腺发育形态观察和组织学研究
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作者 黄雯晓 符文雅 +4 位作者 潘帅 吴耀刚 肖娟 黄海 郭志强 《水产学杂志》 CAS 2024年第2期98-106,共9页
为了解南海黄鳍金枪鱼(Thunnus albacares)性腺发育规律和繁殖特征,2021年5月—2022年5月,用延绳钓在南海(17.41°N,110.61°E)采集黄鳍金枪鱼41尾,体质量0.6~35.0 kg,采用解剖和常规组织学方法,研究南海黄鳍金枪鱼的性腺发育... 为了解南海黄鳍金枪鱼(Thunnus albacares)性腺发育规律和繁殖特征,2021年5月—2022年5月,用延绳钓在南海(17.41°N,110.61°E)采集黄鳍金枪鱼41尾,体质量0.6~35.0 kg,采用解剖和常规组织学方法,研究南海黄鳍金枪鱼的性腺发育周期和各发育时期性腺中生殖细胞的形态特征。结果表明,黄鳍金枪鱼卵母细胞发育共分6个时相,卵巢发育分为6个时期:卵原细胞增殖期、初级卵母细胞生长期、皮质液泡形成期、卵黄颗粒积累期、排卵期、退化期。黄鳍金枪鱼为分批非同步产卵类型;精巢为典型的小叶型,发育过程分为6个时期:精原细胞分化期、精原细胞增殖期、早期成熟期、中期成熟期、排精期、退化期。本文阐明了黄鳍金枪鱼性腺在不同发育时期的形态、组织结构特征及发育规律,以丰富黄鳍金枪鱼繁殖生物学基础资料,并为其人工繁育提供科学依据。 展开更多
关键词 南海黄鳍金枪鱼 卵巢 精巢 性腺发育 组织学
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不同规格野生黄鳍金枪鱼肌肉营养分析与评价
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作者 刘龙龙 罗鸣 +2 位作者 刘洪涛 陈傅晓 韩丽娜 《渔业科学进展》 CSCD 北大核心 2024年第3期258-267,共10页
为探究不同规格黄鳍金枪鱼(Thunnus albacares)肌肉营养成分及品质差异,实验以野捕的3种规格黄鳍金枪鱼J1(4.2±1.2)kg、J2(22.5±2.5)kg和J3(50.8±3.9)kg为研究对象,通过常规生化分析方法对金枪鱼肌肉的常规营养成分、氨... 为探究不同规格黄鳍金枪鱼(Thunnus albacares)肌肉营养成分及品质差异,实验以野捕的3种规格黄鳍金枪鱼J1(4.2±1.2)kg、J2(22.5±2.5)kg和J3(50.8±3.9)kg为研究对象,通过常规生化分析方法对金枪鱼肌肉的常规营养成分、氨基酸、脂肪酸及矿物质元素进行比较分析。结果显示,(1)J1组水分含量显著高于J2、J3组;J2、J3组粗蛋白含量显著高于J1组(P<0.05);J3组粗脂肪含量显著高于J1、J2组(P<0.05)。(2)检出19种常见氨基酸,氨基酸含量最高的为谷氨酸(3.04~3.25 g/100 g),必需氨基酸中含量最高的为赖氨酸(2.02~2.15g/100g),最低的为色氨酸(0.31~0.45 g/100 g)。非必需氨基酸含量J3>J2>J1(P<0.05);必需氨基酸、呈味氨基酸含量J1组显著低于J3组(P<0.05)。依据氨基酸评分(AAS),缬氨酸为第一限制性氨基酸;以化学评分(CS)为评分标准,J1、J2组第一限制性氨基酸为色氨酸,J3组为苯丙氨酸+酪氨酸。(3)各组共检出25种脂肪酸,以多不饱和脂肪酸(PUFA)为主,含量最高的为二十二碳六烯酸(DHA),占总脂肪酸含量的37.46%~39.18%。DHA含量J3组显著高于J1、J2组;二十碳五烯酸(EPA)含量J2、J3组显著高于J1组;DHA∶EPA比值J1组显著高于J2、J3组(P<0.05)。单不饱和脂肪酸(MUFA)含量J3>J2>J1;PUFA含量J3组显著高于J1、J2组(P<0.05)。PUFA/饱和脂肪酸(SFA)、n-3系多不饱和脂肪酸/n-6系多不饱和脂肪酸(n-3/n-6)比值J2、J3组显著高于J1组(P<0.05)。h/H比值J3组显著高于J1、J2组(P<0.05)。(4)J2、J3组Na、Ca含量显著高于J1组,J1组K含量最高且显著高于J2、J3组(P<0.05)。4种重金属元素均低于食品中建议的最大允许限量,其中Fe含量最大的为J3组,且J3>J2>J1(P<0.05);Cu含量最大的为J3组,且显著高于J1组(P<0.05)。综合分析,大规格黄鳍金枪鱼具有更好的营养质量,本研究为居民膳食的选择及黄鳍金枪鱼人工配合饲料的配制提供了科学依据。 展开更多
关键词 黄鳍金枪鱼 肌肉 规格 营养成分 氨基酸 脂肪酸
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基于混沌映射的改进金枪鱼群优化算法对比研究
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作者 尹萍 谈果戈 +3 位作者 宋伟 谢涛涛 姜建彪 宋洪圆 《计算机科学》 CSCD 北大核心 2024年第S01期261-270,共10页
Kubernetes作为当前云资源管理的标准平台,因其默认调度机制的局限性,目前普遍采用基于群智能优化算法的改进方法进行Pod的调度。而针对群智能优化算法存在的寻优性能易受初值影响、迭代后期容易早熟收敛等问题,选择金枪鱼群优化(Tuna S... Kubernetes作为当前云资源管理的标准平台,因其默认调度机制的局限性,目前普遍采用基于群智能优化算法的改进方法进行Pod的调度。而针对群智能优化算法存在的寻优性能易受初值影响、迭代后期容易早熟收敛等问题,选择金枪鱼群优化(Tuna Swarm Optimization,TSO)作为基础算法,根据混沌映射具有的遍历性、随机性等特点,提出了基于混沌映射的种群初始化优化方案。选择目前研究中普遍涉及的Tent、Logistic等多种混沌映射,分别对金枪鱼种群进行初始化,以提高初始种群的多样性。通过一系列基准测试函数进行仿真实验,对比基于不同混沌映射的改进金枪鱼群优化算法的实验结果,证明了基于混沌映射的优化方案可以有效提高原始TSO算法的收敛速度和寻优精度。 展开更多
关键词 金枪鱼群优化算法 混沌映射 群智能优化算法 基准测试函数 Kubernetes
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金枪鱼油纳米乳液制备及稳定性研究
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作者 王求娟 彭竞冲 +1 位作者 杨轩 陈玉峰 《食品安全导刊》 2024年第5期121-128,共8页
金枪鱼油中富含长链ω-3 PUFAs,因其具有多种营养保健作用而被广泛应用于强化食品中。然而,由于金枪鱼油易氧化、生物相容性差,面临一定的加工限制。本文利用微射流均质法制备分离乳清蛋白(Whey Protein Isolate,WPI)稳定的金枪鱼油纳... 金枪鱼油中富含长链ω-3 PUFAs,因其具有多种营养保健作用而被广泛应用于强化食品中。然而,由于金枪鱼油易氧化、生物相容性差,面临一定的加工限制。本文利用微射流均质法制备分离乳清蛋白(Whey Protein Isolate,WPI)稳定的金枪鱼油纳米乳液(WPI-NEs),通过平均粒径、Zeta电位、分散系数(Polydispersity Index,PDI)、光学显微镜观察和氧化检测手段,研究金枪鱼油纳米乳液的稳定性。结果表明,WPI的最佳质量分数为2%。在此基础上构建表没食子儿茶素没食子酸酯(Epigallocatechin Gallate,EGCG)与WPI的共价(WPI-EGCG-NEs)与非共价(EGCG/WPI-NEs)的纳米乳液,EGCG-WPI-NEs避光贮藏15 d后仍能保持较好的流动性。与WPI-NEs相比,WPI-EGCG-NEs与WPI/EGCG-NEs能够很大程度上抑制避光储藏过程中鱼油的氧化。在25℃条件下,贮藏15 d后,WPI-NEs、WPI/EGCG-NEs、WPI-EGCG-NEs的脂质氢过氧化物含量分别为17.9 mol·kg^(-1)、13.1 mol·kg^(-1)、11.4 mol·kg^(-1);硫代巴比妥酸值分别为1.02 mmol·g^(-1)、0.79 mmol·g^(-1)和0.75 mmol·g^(-1)。体外模拟消化实验表明,120 min消化结束后,WPI-NEs、WPI/EGCG-NEs、WPI-EGCG-NEs的脂肪酸释放率分别达到83.7%、80.8%、76.6%,说明WPI-EGCG-NEs能够更好地抑制液滴聚集,在一定程度上抑制脂肪酶的水解,延缓脂肪酸的释放。本文可为金枪鱼油纳米递送体系构建及其应用提供一定的参考依据。 展开更多
关键词 金枪鱼油 纳米乳液 分离乳清蛋白 共价复合 体外消化
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基于MSTSO算法的冷水机组负荷分配模型研究
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作者 王华秋 李乐天 《计算机测量与控制》 2024年第1期201-208,216,共9页
为降低空调系统的运行能耗,优化冷水机组的负荷分配,提出了一种多策略改进的金枪鱼优化算法(MSTSO),引入黄金正弦觅食机制和非线性惯性权重来加强算法对最优解的全局定位能力;通过蜜獾随机搜索策略赋予算法更强的性能以跳出局部最优;利... 为降低空调系统的运行能耗,优化冷水机组的负荷分配,提出了一种多策略改进的金枪鱼优化算法(MSTSO),引入黄金正弦觅食机制和非线性惯性权重来加强算法对最优解的全局定位能力;通过蜜獾随机搜索策略赋予算法更强的性能以跳出局部最优;利用双向长短期记忆网络(BiLSTM)搭建能效预测模型并对各机组的能效比(COP)进行预测,同时使用MSTSO算法对网络的初始参数进行寻优从而获得最佳训练效果;提出BiLSTM-MSTSO负荷分配模型,对多台冷水机组的部分负荷率(PLR)进行合理分配与优化;实验结果表明,优化后的BiLSTM预测模型拥有更高的预测精度,MSTSO算法相较其他智能优化算法可以减少更多的能耗并最大化提升冷水机组的运行效率;因此BiLSTM-MSTSO智能模型适用于多冷水机组的能耗预测与优化。 展开更多
关键词 多冷水机组 负荷分配 金枪鱼优化算法 双向长短期记忆网络 能耗优化
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Preparation of DHA-and EPA-enriched Glycerides by Enzymatic Interesterification Using Tuna Oil and Capric Acid 被引量:4
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作者 LIANG Shaohua WANG Mengyuan +2 位作者 ZHU Lijie ZHANG Man YANG Ming 《Grain & Oil Science and Technology》 2018年第2期97-104,共8页
This study focused on the preparation of docosahexaenoic acid(DHA) and eicosapentaenoic acid(EPA)enriched-triacylglycerols by enzymatic interesterification using tuna oil and capric acid. The content of DHA+EPA is 26.... This study focused on the preparation of docosahexaenoic acid(DHA) and eicosapentaenoic acid(EPA)enriched-triacylglycerols by enzymatic interesterification using tuna oil and capric acid. The content of DHA+EPA is 26.86% in the tuna oil used in this study. A response surface methodology(RSM) was used to optimize the reaction parameters(reaction temperature, substrate molar ratio, enzyme amount and reaction time), and the optimized conditions were determined to be: reaction temperature 58℃, substrate molar ratio(capric acid : tuna oil) 4:1, enzyme amount 4%, and reaction time 7.5 h. Under the optimized conditions, the content of DHA+EPA in the glycerides was 40.03%, which is 13.17% higher than that in raw tuna oil. In addition,the MLM-type structured lipids containing medium chain fatty acids(capric acid) at positions sn-1,3 and a long chain fatty acid(DHA/EPA) at the position sn-2 may have many health benefits for humans. 展开更多
关键词 Capric acid DHA EPA MLM-type STRUCTURED LIPIDS tuna oil
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Comparison of nominal and standardized catch per unit effort data in quantifying habitat suitability of skipjack tuna in the equatorial Pacific Ocean 被引量:3
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作者 Cheng Zhou Yuanyuan Hu +6 位作者 Jie Cao Liuxiong Xu Xuefang Wang Rong Wan Yu Xiao Jiangfeng Zhu Hao Tang 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2022年第3期1-10,共10页
In the western and central Pacific Ocean,upper strata waters exhibit highly dynamic oceanographic features under ENSO variability.This has been proved to be responsible for the dynamic change of both abundance and zon... In the western and central Pacific Ocean,upper strata waters exhibit highly dynamic oceanographic features under ENSO variability.This has been proved to be responsible for the dynamic change of both abundance and zonal distribution of skipjack tuna(Katsuwonus pelamis).Although causality has been suggested by researchers using physical-biological interaction models,cumulative evidence needs to be obtained and the tenability of assertion needs to be tested from an ecological habitat perspective,based on fisheries data.For purse seine fishery,the use of catch per unit effort(CPUE)as an indication of the abundance is confusing because of technical improvements over the whole exploitation history and unbalanced individual fishing characteristic of vessels.It is particularly interesting to discriminate between habitat characteristics in comparative scenarios of CPUE application.This study identified habitat traits based on a series of oceanographic factors from a global ocean reanalysis model.A comparison was conducted between two habitat models based on unprocessed purse seine CPUE and standardized CPUE considering fishing characteristics.The results suggest that standardized CPUE could model the regular zonal shift of habitat compatible with the observed fishing efforts transfer,and achieved better prediction capacity than unprocessed CPUE.Furthermore,the habitat of skipjack tuna was also characterized and linked with surface and subsurface thermal environment,ocean current,dissolved oxygen,biotic environment,and ENSO variability.The monthly-averaged habitat suitable index,derived from the optimal habitat model prediction,showed a significant linear relationship with the southern oscillation index,which suggested that El Ni?o episodes eventually provide more preferable habitat for skipjack tuna under ENSO variability. 展开更多
关键词 skipjack tuna free-swimming schools habitat characteristics ENSO events CPUE standardization
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Stock assessment for Atlantic yellowfin tuna based on extended surplus production model considering life history 被引量:2
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作者 Zhipan Tian Fei Wang +1 位作者 Siquan Tian Qiuyun Ma 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2022年第8期41-51,共11页
The modern fishery stock assessment could be conducted by various models,such as Stock Synthesis model with high data requirement and complicated model structure,and the basic surplus production model,which fails to i... The modern fishery stock assessment could be conducted by various models,such as Stock Synthesis model with high data requirement and complicated model structure,and the basic surplus production model,which fails to incorporate individual growth,maturity,and fishery selectivity,etc.In this study,the Just Another Bayesian Biomass Assessment(JABBA)Select which is relatively balanced between complex and simple models,was used to conduct stock assessment for yellowfin tuna(Thunnus albacares)in the Atlantic Ocean.Its population dynamics was evaluated,considering the influence of selectivity patterns and different catch per unit effort(CPUE)indices on the stock assessment results.The model with three joint longline standardized CPUE indices and logistic selectivity pattern performed well,without significant retrospective pattern.The results indicated that the stock is not overfished and not subject to overfishing in 2018.Sensitivity analyses indicated that stock assessment results are robust to natural mortality but sensitive to steepness of the stock-recruitment relationship and fishing selectivity.High steepness was revealed to be more appropriate for this stock,while the fishing selectivity has greater influence to the assessment results than life history parameters.Overall,JABBA-Select is suitable for the stock assessment of Atlantic yellowfin tuna with different selectivity patterns,and the assumptions of natural mortality and selectivity pattern should be improved to reduce uncertainties. 展开更多
关键词 population dynamics SELECTIVITY tropical tuna fishery management
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Levels of Mercury and Polychlorobiphenyls in Bluefin Tuna from the Western Mediterranean Sea: A Food Safety Issue? 被引量:1
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作者 Monia Renzi Alessandro Cau +1 位作者 Nicola Bianchi Silvano E. Focardi 《Journal of Environmental Protection》 2014年第2期106-113,共8页
In this paper, the presence and amount of mercury and polychlorobiphenyls (PCBs) were determined in 23 bluefin tuna samples collected in the spring of 2012 in Porto Scuso (South West Sardinia, Italy) and Villa Putzu (... In this paper, the presence and amount of mercury and polychlorobiphenyls (PCBs) were determined in 23 bluefin tuna samples collected in the spring of 2012 in Porto Scuso (South West Sardinia, Italy) and Villa Putzu (South East Sardinia, Italy) in order to assess the current levels of these two contaminants in fish muscle and the consequent risk to humans consuming said fish. Values of polychlorobiphenyls in bluefin tuna muscle vary between 0.155 and 1.403 mg/kg f.w.;the average of PCBs in tuna muscle is 0.732 mg/kg f.w. With regard to PCBs the presence of more elevated concentrations is confirmed in larger fish. The results regarding mercury in muscle show an average of 0.660 mg/kg f.w. and mercury values vary between 0.140 f.w. and 2.211 mg/kg f.w.;for mercury as well, the highest concentrations were found in the largest bluefin tuna. Six samples, 26% of total, contained more than 1 mg/kg f.w., which is the maximum level set by the European Commission (EC, Regulation n. 1881/2006) for this species. Mercury, in particular methylmercury, poses a risk to public health, therefore, taking into account the important nutritional contribution that tuna fish makes to the diet, it is advisable that women of childbearing age, pregnant and breastfeeding women as well as young children strictly limit their consumption of tuna from this area of the Mediterranean. 展开更多
关键词 Bluefin tuna Human CONSUMPTION MERCURY PCBS
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Influence of Climatic Conditions on the Time Series Fluctuation of Yellowfin Tuna <i>Thunnus albacares</i>in the South Pacific Ocean 被引量:1
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作者 Ashneel Ajay Singh Naoki Suzuki Kazumi Sakuramoto 《Open Journal of Marine Science》 2015年第3期247-264,共18页
Yellowfin tuna (Thunnus albacares) is one of the most commercially important fish species for South Pacific island nations and territories and for effective conservation efforts it is important to understand the facto... Yellowfin tuna (Thunnus albacares) is one of the most commercially important fish species for South Pacific island nations and territories and for effective conservation efforts it is important to understand the factors which affect its time series pattern. Our research was aimed at elucidating the climatic factors which affected the trajectory of the yellowfin tuna stock in the Eastern and Western South Pacific Ocean. We utilized various climatic factors for the years t - n with n = 0, 1, ..., 8 and investigated their statistical relationship with the catch per unit effort (CPUE) of yellowfin tuna stock from 1957-2008 for three South Pacific zones ranging from the East to the West Pacific Ocean within the coverage area of the Western and Central Pacific Convention Area. Results showed that the climatic conditions of: (i) the global mean land and ocean temperature index (LOTI), (ii) the Pacific warm pool index (PWI) and (iii) Southern Oscillation Index (SOI) had significant relationship with the CPUE of yellowfin tuna in all three zones. LOTI, PWI and SOI were used as independent variables and fitted through modeling to replicate the CPUE trajectory of the yellowfin tuna in Zone 1, Zone 2 and Zone 3. Model selection was based on significant parameter estimates (p < 0.05), Akaikes Information Criterion (AIC) and R2 values. Models selected for all three zones had LOTI, PWI and SOI as the independent variables. This study shows that LOTI, PWI and SOI are climatic conditions which have significant impact on the fluctuation pattern of the yellowfin tuna CPUE in the Eastern and Western South Pacific Ocean. From the findings of this study it can be recommended that when management decisions are made for yellowfin tuna fishery conservation and sustainability in the Eastern and Western South Pacific, it is imperative to take the effect of climatic factors into account. 展开更多
关键词 Yellowfin tuna Global Mean Land and Ocean Temperature INDEX Pacific WARM Pool INDEX Southern Oscillation INDEX THUNNUS albacares
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Constructing Genetic Linkage Maps Using the Whole Genome Sequence of Pacific Bluefin Tuna (Thunnus orientalis) and a Comparison of Chromosome Structure among Teleost Species 被引量:2
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作者 Tsubasa Uchino Yoji Nakamura +7 位作者 Masashi Sekino Wataru Kai Atushi Fujiwara Motoshige Yasuike Takuma Sugaya Himeko Fukuda Motohiko Sano Takashi Sakamoto 《Advances in Bioscience and Biotechnology》 2016年第2期85-122,共38页
Pacific bluefin tuna (Thunnus orientalis) is one of the most economically important species in the Percomorpha group of teleost fishes. Their migrations are extensive and depend upon continuous swimming at a high rate... Pacific bluefin tuna (Thunnus orientalis) is one of the most economically important species in the Percomorpha group of teleost fishes. Their migrations are extensive and depend upon continuous swimming at a high rate of speed throughout their life. The draft genome sequence of this species has been reported but remains highly fragmented. We constructed a Pacific bluefin tuna genetic linkage map using microsatellite markers developed on each of the scaffolds from the draft genome sequence to link these genome fragments and understand the genomic structure of species in Percomorpha. Of the 606 polymerase chain reaction microsatellite primer pairs tested, 473 were polymorphic in the mapping populations for the linkage analysis. We constructed sex-specific maps for 24 linkage groups consisting of 470 markers, which allowed us to place scaffolds that cumulatively represented 20.8% (153.8 Mb) of the sequenced genome onto the linkage groups. The distribution of orthologous genes on the chromosomes of tuna and four other teleost fish species suggested that the constitution of tuna chromosomes is closest to that of medaka. Both species have the 24 chromosomes of the ancestral teleost, including several chromosomal inversions. The integrated map developed in this study will be useful to construct a complete physical map to conduct comparative teleost genomics and genetic studies on economically useful traits in Pacific bluefin tuna. 展开更多
关键词 Pacific Bluefin tuna Microsatellite Marker Genetic Linkage Map
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