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Cloning and Characterization of a Somatic Embryogenesis Receptor-like Kinase Gene in Cotton (Gossypium hirsutum)

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Journal of Integrative Agriculture 2012年第6期11卷 898-909页

作者： shi ya-li ZHANG Rui WU Xiao-ping MENG Zhi-gang GUO San-dui Biotechnology Research Institute Chinese Academy of Agricultural SciencesBeijing 100081P.R.China

A novel gene, GhSERK1, was identified in cotton. It encoded a protein belonging to the somatic embryogenesis receptor- like kinase （SERK） family. The genomic sequence of GhSERK1 was 6 920 bp in length, containing a predicted transcriptional start site （TSS）. Its full-length cDNA was 2 502 bp, encoding a protein of 627 amino acids. Sequence analysis of GhSERK1 revealed high levels of similarity to other reported SERKs, as well as a conserved intron/exon structure that was unique to members of the SERK family. Expression analysis showed that GhSERK1 mRNA was present in all organs of cotton plants and at different developmental stages, but its transcripts were most abundant in reproductive organs. Compared with that of the male-fertile line, the level of GhSERK1 mRNA was lower in the anther of the male-sterile cotton line, in which the pollen development was defected. Taken together, these findings illustrated that the GhSERK1 play a critical role during the anther formation, and may also have a broad role in other aspects of plant development.

关键词： cotton (Gossypium hirsutum) somatic embryogenesis receptor-like kinase (SERK) reproductive organs,anther development

Actional Mechanism of Trifluoroacetic Acid for the Separation of Biopolymers by Reversed-phase liquid Chromatography

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Chemical Research in Chinese Universities 1992年第3期8卷 207-211页

作者： shi ya-li and GENG Xin-du (Department of Chemistry, Northwest University, Xi’an, 710069)

The present paper covers the actional mechanism of trifluoroacetic acid for the separation of biopolymers investigated by using the parameters of stoichiometric displacement model for retention(SDM-R) in reversed-phase liquid chromatography. It was found that the trifluoroacetic acid(TFA) may participate in, or stimulate the association among displacing agent molecules in mobile phase, and decrease the affinity of both the associate molecules of the displacing agent and the TFA-protein ion-pairing. The former dominates over the separation selectivity of biopolymers as the concentration of TFA is lower than a given value, and the two contrary functions partly offset to each other and the latter dominates as its concentration is greater than the given value.

关键词： Trifluoroacetic acid Actional mechanism Reversed-phase liquid chroma-tography Separation Biopolymers

Genetic Diversity of Recurrent Selection Populations with Ms2 Gene Assessed by Gliadins in Common Wheat (Triticum aestivum L.)

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Agricultural Sciences in China 2010年第5期9卷 615-625页

作者： JIANG Hui, GAO Qing-rong, li Luo-jiang, KONG ling-rang, ZHANG Wei-dong, WU shi-wen and yaNG ya-li State Key Laboratory of Crop Biology, Department of Agronomy, Shandong Agricultural University, Tai’an 271018, P.R.China [a] State Key Laboratory of Crop Biology Department of Agronomy Shandong Agricultural University Tai'an 271018 P.R.China

The male-sterile lines with Ms2 gene were highly evaluated in recurrent selection in wheat （Triticum aestivum L.）. Three populations C6 （population after six cycles of selection）, C7 （population after seven cycles of selection）, and C8 （population after eight cycles of selection） were constructed through recurrent selection with 12 parental materials （P）. Acid polyacrymide gel electrophoresis （A-PAGE） analysis was used to identify gliadin patterns and evaluate the genetic diversity in 12 parents and three populations. A total of 63 bands were identified, of which 17 polymorphic bands and 7 unique bands were present in populations and seven polymorphic bands and four unique bands were present in parents. The number of polymorphic and unique bands decreased gradually from C6 to C8, especially for to- and y-gliadins. The genetic distances in C6, C7, and C8 were calculated. The distributions of genetic distance were different in three recurrent selection populations. From C6 to C8, the genetic distance was 0.2687, 0.2652 and 0.1987, respectively. Statistically significant differences were detected between C7 and C8 with the T value of 37.9718. The result of cluster analysis based on genetic similarity matrix of three populations fitted well to those of principle coordinates analysis （PCoA）. Compared with 12 parents, almost all individuals of three populations are new genotypes. Most of the individuals from C6 and C7 could be divided into two groups, while most individuals of C8 were in one cluster. In conclusion, the results indicated that the genetic diversity was decreased severely according to the information revealed by A-PAGE, although some variations could be created in the recurrent selection. It was necessary to introduce diverse germplasm based on the genetic database of recurrent population to maintain and improve the breeding efficiency in the further program.

关键词： genetic diversity recurrent selection gliadins Ms2 gene Triticum aestivum L

Joint Feature Encoding and Task Alignment Mechanism for Emotion-Cause Pair Extraction

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Computers, Materials & Continua 2025年第1期82卷 1069-1086页

作者： shi li Didi Sun College of Computer and Control Engineering Northeast Forestry UniversityHarbin150040China

With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant ***-cause pair extraction enables the identification of causal relationships between emotions and their triggers within a text,facilitating a deeper understanding of expressed sentiments and their underlying *** comprehension is crucial for making informed strategic decisions in various business and societal ***,recent research approaches employing multi-task learning frameworks for modeling often face challenges such as the inability to simultaneouslymodel extracted features and their interactions,or inconsistencies in label prediction between emotion-cause pair extraction and independent assistant tasks like emotion and cause *** address these issues,this study proposes an emotion-cause pair extraction methodology that incorporates joint feature encoding and task alignment *** model consists of two primary components:First,joint feature encoding simultaneously generates features for emotion-cause pairs and clauses,enhancing feature interactions between emotion clauses,cause clauses,and emotion-cause ***,the task alignment technique is applied to reduce the labeling distance between emotion-cause pair extraction and the two assistant tasks,capturing deep semantic information interactions among *** proposed method is evaluated on a Chinese benchmark corpus using 10-fold cross-validation,assessing key performance metrics such as precision,recall,and F1 *** results demonstrate that the model achieves an F1 score of 76.05%,surpassing the state-of-the-art by 1.03%.The proposed model exhibits significant improvements in emotion-cause pair extraction(ECPE)and cause extraction(CE)compared to existing methods,validating its *** research introduces a novel approach based on joint feature encoding and task alignment mechanisms,contributing to advancements in emotion-c

关键词： Emotion-cause pair extraction interactive information enhancement joint feature encoding label consistency task alignment mechanisms

离子色谱-质谱联用技术测定污泥样品中的痕量高氯酸盐

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分析化学 2007年第1期35卷 131-134页

作者：张萍史亚利王亚韡蔡亚岐牟世芬中国科学院生态环境研究中心环境化学与生态毒理学国家重点实验室北京100085 中国科学院生态环境研究中心环境化学与生态毒理学国家重点实验室

建立了离子色谱-质谱联用技术测定活性污泥样品中高氯酸盐的分析方法。以高容量、强亲水性的IonPacAS20(2mm)阴离子交换柱为分析柱,EGC在线产生等浓度KOH为淋洗液,淋洗液经抑制成水后将样品带入质谱检测。ESI-MS-MS以多元反应监测模式监... 详细信息

建立了离子色谱-质谱联用技术测定活性污泥样品中高氯酸盐的分析方法。以高容量、强亲水性的IonPacAS20(2mm)阴离子交换柱为分析柱,EGC在线产生等浓度KOH为淋洗液,淋洗液经抑制成水后将样品带入质谱检测。ESI-MS-MS以多元反应监测模式监控100.8/84.9、98.8/66.9、100.8/68.9和98.8/82.9离子对,以98.8/82.9离子对的峰面积进行定量。该方法对高氯酸盐的检出限(S/N=3)为0.01μg/L,高氯酸盐在0.05~100μg/L浓度范围内具有良好的线性,线性相关系数r=0.9988。0.2μg/L的标准溶液重复进样9次,高氯酸盐峰面积的相对标准偏差(RSD)为2.3%。运用该方法测定采自不同地区的活性污泥样品中的高氯酸盐,并对样品加标回收,得回收率在88.5%~102.2%之间。

关键词：高氯酸盐离子色谱-串联质谱污泥

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Interpretable Machine Learning Method for Compressive Strength Prediction and Analysis of Pure Fly Ash-based Geopolymer Concrete

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 65-78页

作者： shi Yuqiong li Jingyi ZHANG yang li li Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education Northwest A&F Uni-versityYangling 712100China College of Water Resources and Architectural Engineering Northwest A&F UniversityYangling 712100China Chongqing Key Laboratory of Public Big Data Security Technology Chongqing 401420China Chongqing College of Mobile Communication Chongqing 401520China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina National Rail Transit Electrification and Automation Engineering Technology Research Center(Hong Kong Branch) The Hong Kong Polytechnic UniversityKowloonHung HomHong KongChina

In order to study the characteristics of pure fly ash-based geopolymer concrete(PFGC)conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive *** this study,505 groups of data were collected,and a new database of compressive strength of PFGC was *** order to establish an accurate prediction model of compressive strength,five different types of machine learning networks were used for comparative *** five machine learning models all showed good compressive strength prediction performance on *** them,R2,MSE,RMSE and MAE of decision tree model(DT)are 0.99,1.58,1.25,and 0.25,*** R2,MSE,RMSE and MAE of random forest model(RF)are 0.97,5.17,2.27 and 1.38,*** two models have high prediction accuracy and outstanding generalization *** order to enhance the interpretability of model decision-making,we used importance ranking to obtain the perception of machine learning model to 13 *** 13 variables include chemical composition of fly ash(SiO_(2)/Al_(2)O_(3),Si/Al),the ratio of alkaline liquid to the binder,curing temperature,curing durations inside oven,fly ash dosage,fine aggregate dosage,coarse aggregate dosage,extra water dosage and sodium hydroxide *** temperature,specimen ages and curing durations inside oven have the greatest influence on the prediction results,indicating that curing conditions have more prominent influence on the compressive strength of PFGC than ordinary Portland cement *** importance of curing conditions of PFGC even exceeds that of the concrete mix proportion,due to the low reactivity of pure fly ash.

关键词： machine learning pure fly ash geopolymer compressive strength feature perception

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改进的离子色谱法测定环境水样中的高氯酸盐

高等学校化学学报 2007年第7期28卷 1246-1250页

作者：张萍史亚利蔡亚岐牟世芬中国科学院生态环境研究中心环境化学与生态毒理学国家重点实验室北京100085

以亲水性阴离子交换柱IonPac AS16为分析柱,以NaOH、乙腈和水的混合溶液为淋洗液,采用电导检测法测定了环境水样中的痕量高氯酸盐.通过添加有机改进剂有效地解决了4-氯苯磺酸和高氯酸盐共淋洗的问题.实验考察了4种有机溶剂对高氯酸盐和4... 详细信息

以亲水性阴离子交换柱IonPac AS16为分析柱,以NaOH、乙腈和水的混合溶液为淋洗液,采用电导检测法测定了环境水样中的痕量高氯酸盐.通过添加有机改进剂有效地解决了4-氯苯磺酸和高氯酸盐共淋洗的问题.实验考察了4种有机溶剂对高氯酸盐和4-氯苯磺酸保留时间的影响,最终选定乙腈作为有机改进剂.为了提高方法的灵敏度,以AG19为浓缩柱对样品进行在线预浓缩.采用预浓缩技术可使方法的检出限低至0·1μg/L.在0·2～200μg/L线性范围内线性相关系数为0·9989,将0·5μg/L高氯酸盐溶液连续进样测定11次,所得峰面积的相对标准偏差(RSD)为4·2%.将该方法应用于环境水样的测定,加标回收率为93%～113%.

关键词：高氯酸盐离子色谱环境水样

高效液相色谱-串联质谱联用技术测定环境水样中的全氟化合物

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分析化学 2007年第7期35卷 969-972页

作者：张萍史亚利蔡亚岐牟世芬中国科学院生态环境研究中心环境化学与生态毒理学国家重点实验室中国科学院生态环境研究中心环境化学与生态毒理学国家重点实验室北京100085

采用HPLC-ESI-MS/MS联用技术,以C18反相柱为分析柱,以甲醇、醋酸铵为淋洗液,10min即可分离全氟庚酸(PFHeA)、全氟辛酸(PFOA)、全氟辛烷磺酸(PFOS)、全氟壬酸(PFNA)和全氟癸酸(PFDeA)5种全氟化合物。样品溶液500mL经RP柱离线浓缩、2mL甲... 详细信息

采用HPLC-ESI-MS/MS联用技术,以C18反相柱为分析柱,以甲醇、醋酸铵为淋洗液,10min即可分离全氟庚酸(PFHeA)、全氟辛酸(PFOA)、全氟辛烷磺酸(PFOS)、全氟壬酸(PFNA)和全氟癸酸(PFDeA)5种全氟化合物。样品溶液500mL经RP柱离线浓缩、2mL甲醇洗脱、水定容至5mL后,50μL进样分析。以363/319、412.9/368.9、498.9/80、462.9/419和512.8/469离子对分别对PFHeA,PFOA,PFOS,PFNA和PFDeA进行监控和定量检测。线性范围在0.5~20ng/L之间(r≥0.9944),5种物质的检出限依次为0.10、0.15、0.11、0.11和0.18ng/L。该方法已成功运用于4种环境水样的测定,4ng/L的加标回收结果在52.6%~117.5%之间。

关键词：全氟表面活性剂高效液相色谱-串联质谱

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VANETs中基于时空分析的抗合谋Sybil攻击检测方法

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计算机学报 2018年第9期41卷 2148-2161页

作者：石亚丽王良民江苏大学计算机科学与通信工程学院江苏镇江212013

在车载自组网中,攻击者通过伪造、偷窃以及与其它合法车辆合谋等方式获得多个网络身份,并利用这些身份发布虚假交通信息来伪造交通场景,从而造成交通拥堵,甚至引发更严重的交通事故.现有的多数Sybil攻击检测方案主要用于检测伪造身份或... 详细信息

在车载自组网中,攻击者通过伪造、偷窃以及与其它合法车辆合谋等方式获得多个网络身份,并利用这些身份发布虚假交通信息来伪造交通场景,从而造成交通拥堵,甚至引发更严重的交通事故.现有的多数Sybil攻击检测方案主要用于检测伪造身份或偷窃身份的Sybil攻击,很少有检测方案针对合谋Sybil攻击进行研究.另外,检测Sybil攻击需要确保车辆实体在网络通信时仅绑定一个网络身份以防止攻击者扮演多个身份来欺骗其他车辆,这种做法会造成车辆隐私的泄露.为了平衡解决Sybil攻击检测和隐私保护这两个相互矛盾的问题,该文提出了一种基于时空分析的抗合谋Sybil攻击检测方法STARCS(Spatio-Temporal Analysis based Resist Conspiracy Sybil Attack).该方法利用匿名RSU发布的时间戳标识作为车辆在车载自组网中的身份,通过权威机构TA(Trust Authority)设置的请求信息表记录前一次经过的RSU和时间戳,从而抵御伪造Sybil身份和合谋Sybil身份的产生.文中每个警报事件只允许每个车辆发布一次带有时间戳标识的警报消息,根据警报信息中包含的标识是否被多个车辆同时使用来检测攻击者与合谋车辆同时使用同一身份的合谋Sybil攻击,并依据标识中嵌入的RSU位置关系标签检测攻击者与远距离车辆合谋的Sybil攻击.由于从时间上身份是否被滥用和空间上身份是否出现不合理位移的情况来检测合谋Sybil攻击,即是从时空关系上抵制和检测合谋Sybil攻击.理论分析和仿真实验表明,该方法不仅能够抵御或检测多种Sybil攻击,而且具有较少的时间开销和通信开销,并通过动态匿名机制保护车辆的身份和位置隐私.

关键词：车载自组网合谋Sybil攻击隐私保护时间戳标识动态匿名机制