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Journal of Central South University 2017年第6期24卷 1281-1287页

作者： ZHAO xiao-xian fan xiao-lei XUE Zhi-xin YANG Zhi-man YUAN Xian-zheng QIU Yan-ling GUO Rong-bo Shandong Industrial Engineering Laboratory of Biogas Production & Utilization(Key Laboratory of Biofuels) Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences College of Chemical Science and Engineering Qingdao University

The Macrocystis pyrifera biomass residues(MPBRs) after extraction of algin could be applied in anaerobic fermentation. The effects of different pretreatment conditions, substrate concentrations and initial pH values on hydrogen and volatile fatty acid(VFA) production during the anaerobic fermentation of MPBRs were evaluated. The optimal pretreatment conditions, substrate concentration, initial pH values were determined as thermo-alkaline pretreatment at 100 °C with 0.1 mol/L NaOH, 40 g/L and 7.0, respectively. Under these conditions, the maximum hydrogen production was 11.38 mL/g(volatile solids, VS), which was approximately 23 times higher than that of untreated MPBRs. Furthermore, the maximum total volatile fatty acid(TVFA) yield was found to be 0.055 g/g(VS) and the VFA mainly consisted of acetic and butyric acids. The results indicate that the yield of TVFA is positively correlated with hydrogen production, and the MPBRs could produce hydrogen and TVFA simultaneously. In addition, thermo-alkaline pretreatment is proven to be the best method for hydrogen and VFA production.

关键词： Macrocystis pyrifera biomass residues pretreatment fermentation hydrogen

Rough Set Assisted Meta-Learning Method to Select Learning Algorithms

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南昌工程学院学报 2006年第2期25卷 83-87,91页

作者： Lisa fan Min-xiao lei Department of Computer Science University of Regina Regina Saskatchewan S4S 0A2 Canada

In this paper,we propose a Rough Set assisted Meta-Learning method on how to select the most-suited machine-learning algorithms with minimal effort for a new given dataset. A k-Nearest Neighbor (k-NN) algorithm is used to recognize the most similar datasets that have been performed by all of the candidate *** matching the most similar datasets we found,the corresponding performance of the candidate algorithms is used to generate recommendation to the *** performance derives from a multi-criteria evaluation measure-ARR,which contains both accuracy and ***,after applying Rough Set theory,we can find the redundant properties of the ***,we can speed up the ranking process and increase the accuracy by using the reduct of the meta attributes.

关键词： Meta-Learning algorithm recommendation Rough sets

Improving grain appearance of erect-panicle japonica rice cultivars by introgression of the null gs9 allele

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Journal of Integrative Agriculture 2021年第8期20卷 2032-2042页

作者： ZHAO Dong-sheng LIU Jin-yu DING Ai-qiu ZHANG Tao REN Xin-yu ZHANG Lin LI Qian-feng fan xiao-lei ZHANG Chang-quan LIU Qiao-quan Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education College of AgricultureYangzhou UniversityYangzhou 225009P.R.China Co-innovation Center for Modern Production Technology of Grain Crops Jiangsu Key Laboratory of Crop Genetics and PhysiologyYangzhou UniversityYangzhou 225009P.R.China

The panicle architecture and grain size of rice affect not only grain yield but also grain quality,especially grain *** erect-panicle(EP)trait controlled by the qpe9-1/dep1 allele has been widely used in high-yielding japonica rice breeding,but usually accompanied with moderate appearance of milled *** null gs9 allele shows a good potential for improving grain shape and ***,GS9 and qPE9-1/DEP1 loci are tightly linked,and their interaction is unclear,which obviously restricts their utilization in modern rice *** the present study,comparative analyses of protein and mRNA levels revealed that GS9 and qPE9-1 function *** nearisogenic lines(NILs)carrying various allelic combinations of these two loci,NIL(gs9/qpe9-1),NIL(GS9/qPE9-1)and NIL(gs9/qPE9-1),in the EP japonica cultivar 2661(GS9/qpe9-1)background were developed for genetic interaction ***9 and qPE9-1 had additive effects on determining grain size,and the null gs9 allele could decrease grain chalkiness and improve grain appearance without affecting plant and panicle architecture in EP japonica ***,introgression lines(ILs)developed in another released EP japonica cultivar Wuyujing 27(WYJ27)background showed the same additive effect and the feasibility of utilizing the gs9 allele to improve grain appearance quality in high-yielding EP *** study provides an effective strategy for rice breeders to improve rice grain appearance in EP japonica and related cultivars.

关键词： rice GS9 qPE9-1/DEP1 genetic interaction erect panicle grain appearance

Unmasking Social Robots’Camouflage:A GNN-Random Forest Framework for Enhanced Detection

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Computers, Materials & Continua 2025年第1期82卷 467-483页

作者： Weijian fan Chunhua Wang xiao Han Chichen Lin School of Data Science and Intelligent Media Communication University of ChinaBeijing100024China School of Computer and Cyber Sciences Communication University of ChinaBeijing100024China Institute of Communication Studies Communication University of ChinaBeijing100024China State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China

The proliferation of robot accounts on social media platforms has posed a significant negative impact,necessitating robust measures to counter network anomalies and safeguard content *** robot detection has emerged as a pivotal yet intricate task,aimed at mitigating the dissemination of misleading *** graphbased approaches have attained remarkable performance in this realm,they grapple with a fundamental limitation:the homogeneity assumption in graph convolution allows social robots to stealthily evade detection by mingling with genuine human *** unravel this challenge and thwart the camouflage tactics,this work proposed an innovative social robot detection framework based on enhanced HOmogeneity and Random Forest(HORFBot).At the core of HORFBot lies a homogeneous graph enhancement strategy,intricately woven with edge-removal techniques,tometiculously dissect the graph intomultiple revealing ***,leveraging the power of contrastive learning,the proposed methodology meticulously trains multiple graph convolutional networks,each honed to discern nuances within these tailored *** culminating stage involves the fusion of these feature-rich base classifiers,harmoniously aggregating their insights to produce a comprehensive detection *** experiments on three social robot detection datasets have shown that this method effectively improves the accuracy of social robot detection and outperforms comparative methods.

关键词： Social robot detection graph neural networks random forest homophily heterophily

维普期刊数据库评论

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中国北方古建油饰彩画中绿色颜料的光谱分析

光谱学与光谱分析 2010年第2期30卷 453-457页

作者：王丽琴严静樊晓蕾马涛西北大学文博学院陕西西安710069 砖石质文物保护国家文物局重点科研基地陕西西安710061 西安文物保护修复中心陕西西安710061

古建油饰彩画中颜料成分的分析鉴定是古建维修、保护的重要基础工作。文章利用X射线荧光分析、X射线衍射分析、扫描电镜-能谱分析技术,首次系统地分析检测了来自北京、山西、甘肃等中国北方地区的27个古建油饰彩画中的绿色颜料。结果表... 详细信息

古建油饰彩画中颜料成分的分析鉴定是古建维修、保护的重要基础工作。文章利用X射线荧光分析、X射线衍射分析、扫描电镜-能谱分析技术,首次系统地分析检测了来自北京、山西、甘肃等中国北方地区的27个古建油饰彩画中的绿色颜料。结果表明,其中15个样品使用了巴黎绿这种含铜、砷的人工合成颜料,其余样品未检测出矿物颜料,显色成分应为人工合成的有机物。在所有分析样品中未检测到古代常用的绿色颜料石绿和氯铜矿的存在。该研究工作开辟了光谱分析技术应用于古建油饰彩画颜料鉴定的新领域,为该类文物分析鉴定、修复材料的选择提供了科学数据。

关键词：颜料光谱分析巴黎绿油饰彩画

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参杞合剂抗肿瘤免疫的动态实验研究

大连医科大学学报 2007年第3期29卷 219-220,251页

作者：李庆范晓磊大连医科大学微生物学教研室辽宁大连116027

[目的]研究参杞合剂对抗肿瘤治疗后期荷瘤小鼠免疫功能的动态调节。[方法]取小鼠荷瘤,分组:生理盐水(NS)对照组,环磷酰胺(CY)组,参杞合剂(SQ)组。分别予NS组及SQ组小鼠口服灌胃NS及SQ,CY组则腹腔注射CY。测NK/MΦ细胞杀伤活性;IL-12/TNF... 详细信息

[目的]研究参杞合剂对抗肿瘤治疗后期荷瘤小鼠免疫功能的动态调节。[方法]取小鼠荷瘤,分组:生理盐水(NS)对照组,环磷酰胺(CY)组,参杞合剂(SQ)组。分别予NS组及SQ组小鼠口服灌胃NS及SQ,CY组则腹腔注射CY。测NK/MΦ细胞杀伤活性;IL-12/TNF-α含量。[结果]①参杞合剂能够延长荷瘤小鼠生存期,抑制肿瘤生长。抑瘤率达65.68%,CY组抑瘤率为45.76%,与NS组比较差异均有显著性意义(P0.05)。③能增强荷瘤小鼠细胞因子活性。SQ组的TNF-α含量较NS组有明显增加(P0.05)。相应的NS组IL-12为35.15±2.62,显著低于正常水平(P<0.01),而TNF-α却显著高于正常水平(P<0.01),CY组则维持刚停药时的状态。[结论]参杞合剂有较好的抑瘤作用。

关键词：参杞合剂肿瘤免疫动态影响

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革兰阴性杆菌中1类整合子的分布与耐药关系

大连医科大学学报 2007年第6期29卷 584-586页

作者：王寰范晓磊大连医科大学第二临床学院北院检验科辽宁大连116031 大连医科大学微生物学教研室辽宁大连116044

[目的]在革兰阴性杆菌中检测1类整合子,并分析整合子对细菌耐药性的影响。[方法]用VITEK-AMS微生物自动分析仪鉴定细菌和药敏试验,用PCR方法扩增1类整合酶基因,经电泳后检测扩增产物。[结果]266株革兰阴性细菌中检测出1类整合子66株,检... 详细信息

[目的]在革兰阴性杆菌中检测1类整合子,并分析整合子对细菌耐药性的影响。[方法]用VITEK-AMS微生物自动分析仪鉴定细菌和药敏试验,用PCR方法扩增1类整合酶基因,经电泳后检测扩增产物。[结果]266株革兰阴性细菌中检测出1类整合子66株,检出率为24.8%。主要阳性菌为大肠埃希菌34.3%(24/70)、肺炎克雷伯菌48.1%(26/54)、阴沟肠杆菌30%(6/20)、铜绿假单胞菌15.6%(7/45)、鲍曼不动杆菌4.8%(2/42)、产气肠杆菌20%(1/5)。1类整合子阳性菌对氨基糖苷类、喹诺酮类及头孢菌素类药物表现出较高的耐药率。携带1类整合子菌株易表现出对至少4种抗菌素的多重耐药性,其多重耐药率为68.2%(45/66),明显高于1类整合子阴性菌株(28.5%),P<0.05。[结论]1类整合子广泛地存在革兰阴性细菌中,1类整合子对细菌多重耐药性的产生和传播起着重要作用,应加强临床细菌基因水平的耐药监测,采取有效措施防止耐药性的传播。

关键词：革兰阴性杆菌整合子多重耐药

紫外诱变筛选耐氧性Chlamydomonas moewusii产氢藻株

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华南理工大学学报（自然科学版） 2011年第5期39卷 149-153页

作者：张彦婷范晓蕾李潇萍郭荣波中国科学院青岛生物能源与过程研究所山东青岛266101

为解决绿藻中氢化酶对O2极为敏感的问题,以具高产氢催化活性的绿藻Chlamydomonas moewusii野生株作为出发藻株,通过紫外辐射,结合甲硝唑及外加氧法进行耐氧性产氢突变株的诱变和筛选,得到4株耐氧性及产氢活性均显著提高的突变藻株Mu-1、... 详细信息

为解决绿藻中氢化酶对O2极为敏感的问题,以具高产氢催化活性的绿藻Chlamydomonas moewusii野生株作为出发藻株,通过紫外辐射,结合甲硝唑及外加氧法进行耐氧性产氢突变株的诱变和筛选,得到4株耐氧性及产氢活性均显著提高的突变藻株Mu-1、Mu-2、Mu-3、Mu-4,并进行了相应的氢化酶体内活性、呼吸活性与光系统Ⅱ光化学活性分析.结果表明,4株突变藻株的氢化酶体内活性约为野生株氢化酶体内活性的1.69、2.86、1.06和1.80倍,突变株经1%(体积分数)O2处理后,残留活性分别从野生株的(20.00±2.47)%提高到(34.40±4.88)%、(32.50±2.85)%、(55.60±3.30)%和(43.10±8.73)%,而Mu-1和Mu-2两株藻在生长过程中的的光合作用与呼吸作用均未发现明显变化.

关键词：氢化酶耐氧性紫外诱变 Chlamydomonas moewusii

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闸墩冰荷载及过冰能力的模型试验研究

水利学报 2005年第9期36卷 1121-1126,1132页

作者：宋安范晓雷史庆增王义安天津大学建筑工程学院冰工程实验室天津300072 交通部天津水运工程科学研究所天津300456

本文针对我国东北地区某航电枢纽设计中泄洪闸闸墩的冰荷载以及流冰期排冰的问题进行了对应的物理模拟试验。通过孤立闸墩和双闸墩的冰荷载试验,证实了边界条件对冰荷载的影响,获得了边界影响系数.不同冰速的试验也证明,冰速对于冰力具... 详细信息

本文针对我国东北地区某航电枢纽设计中泄洪闸闸墩的冰荷载以及流冰期排冰的问题进行了对应的物理模拟试验。通过孤立闸墩和双闸墩的冰荷载试验,证实了边界条件对冰荷载的影响,获得了边界影响系数.不同冰速的试验也证明,冰速对于冰力具有明显的影响。文中将试验结果与理论公式计算进行了比较并提出了作者的看法,可供工程设计人员参考。根据现场实测资料,进行了三种江面冰排不同分布和密度的闸墩过冰能力的定性物理模拟试验,阐述了现有工况下闸墩间流冰通过的可能性。

关键词：冰荷载闸墩模拟试验过冰能力

随机孔模型应用于煤焦与CO_2气化的动力学研究

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燃料化学学报 2005年第6期33卷 671-676页

作者：杨帆范晓雷周志杰刘海峰龚欣于遵宏华东理工大学洁净煤技术研究所上海200237

考察970 ℃～1 165 ℃,北宿、神府、忻州、潞安煤焦与CO2在热天平中的气化反应,用恒温法进行热重分析,考察煤种、气化温度、灰分对煤焦气化的影响.用随机孔模型模拟北宿煤反应速率与碳转化率的关系曲线,与未反应芯缩核模型和混合模型模... 详细信息

考察970 ℃～1 165 ℃,北宿、神府、忻州、潞安煤焦与CO2在热天平中的气化反应,用恒温法进行热重分析,考察煤种、气化温度、灰分对煤焦气化的影响.用随机孔模型模拟北宿煤反应速率与碳转化率的关系曲线,与未反应芯缩核模型和混合模型模拟结果比较.在化学控制区内,实验数据用随机孔模型拟合最佳.1 066 ℃和1 165 ℃气化数据拟合的相关系数为0.99,970 ℃拟合效果较差.随机孔模型作为简单、精度高的模型可应用于煤炭气化反应中.应用此模型计算四种煤焦反应活化能、指前因子、孔结构参数、A0等动力学参数值.同一煤种气化反应温度越高初始反应速率越大,结构参数体现了孔结构变化对反应的影响,随着温度的升高值减小.

关键词：煤焦二氧化碳气化随机孔模型