Structural Determination of Ginsenosides Using MS(n) Analysis

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Expression balances of structural genes shikimate and flavonoid biosynthesis cause a difference in

Expression balances of structural genes  shikimate and flavonoid biosynthesis cause a difference in

ORIGINAL ARTICLEExpression balances of structural genes in shikimate and flavonoid biosynthesis cause a difference in proanthocyanidin accumulation in persimmon (Diospyros kaki Thunb.)fruitTakashi Akagi ÆAyako Ikegami ÆYasuhiko Suzuki ÆJunya Yoshida ÆMasahiko Yamada ÆAkihiko Sato ÆKeizo YonemoriReceived:28April 2009/Accepted:14July 2009/Published online:8August 2009ÓSpringer-Verlag 2009Abstract Persimmon fruits accumulate a large amount of proanthocyanidin (PA)during development.Fruits of pol-lination-constant and non-astringent (PCNA)type mutants lose their ability to produce PA at an early stage of fruit development,while fruits of the normal (non-PCNA)type remain rich in PA until fully ripened.To understand the molecular mechanism for this difference,we isolated the genes involved in PA accumulation that are differentiallyexpressed between PCNA and non-PCNA,and confirmed their correlation with PA content and composition.The expression of structural genes of the shikimate and flavo-noid biosynthetic pathways and genes encoding transfer-ases homologous to those involved in the accumulation of phenolic compounds were downregulated coincidentally only in the PCNA type.Analysis of PA composition using the phloroglucinol method suggested that the amounts of epigallocatechin and its 3-O -gallate form were remarkably low in the PCNA type.In the PCNA type,the genes encoding flavonoid 3050hydroxylase (F3050H)and antho-cyanidin reductase (ANR)for epigallocatechin biosynthe-sis showed remarkable downregulation,despite the continuous expression level of their competitive genes,flavonoid 30hydroxylation (F30H)and leucoanthocyanidin reductase (LAR).We also confirmed that the relative expression levels of F3050H to F30H ,and ANR to LAR ,were considerably higher,and the PA composition corresponded to the seasonal expression balances in both types.These results suggest that expressions of F3050H and ANR are important for PA accumulation in persimmon stly,we tested enzymatic activity of recombinant DkANR in vitro,which is thought to be an important enzyme for PA accumulation in persimmon fruits .Keywords Diospyros ÁFlavonoid ÁPolymerisation ÁProanthocyanidin ÁShikimate pathway Abbreviations 4CL 4-Coumarate:coenzyme A ligase ANR Anthocyanidin reductase ANS Anthocyanidin synthase CA Catechin C4H Cinnamate-4-hydroxymateContributions from T.Akagi and A.Ikegami to this work are considered equal.Electronic supplementary material The online version of this article (doi:10.1007/s00425-009-0991-6)contains supplementary material,which is available to authorized users.T.Akagi ÁY.Suzuki ÁK.Yonemori (&)Laboratory of Pomology,Graduate School of Agriculture,Kyoto University,Sakyo-ku,Kyoto 606-8502,Japan e-mail:keizo@kais.kyoto-u.ac.jp T.Akagie-mail:clacla_takashi@yahoo.co.jpA.IkegamiLaboratory of Pomology,Department of Bioproduction Sciences,Ishikawa Prefectural University,Nonoichi,Ishikawa 921-8836,JapanJ.YoshidaAgricultural Products Distribution Division,Takamatsu,Kagawa 760-0017,JapanM.YamadaDepartment of Citrus Research,National Institute of Fruit Tree Science,Kuchinotsu,Nagasaki 859-2501,Japan A.SatoGrape and Persimmon Research Station,National Institute of Fruit Tree Science,Akitsu,Higashi-Hiroshima,Hiroshima 739-2494,JapanPlanta (2009)230:899–915DOI 10.1007/s00425-009-0991-6CHI Chalcone isomeraseCHS Chalcone synthaseCS Chorismate synthaseDAHPS3-Deoxy-D-arabino-heptulosonate7-phosphate synthaseDFR Dihydroflavonol4-reductaseDHD/SDH3-Dehydroquinate dehydratase/shikimate5-dehydrogenaseDHQS3-Dehydroquinate synthaseEC EpicatechinEGC EpigallocatechinEGCG Epigallocatechin gallateEPSPS5-Enolpyruvylshikimate-3-phosphte synthase F3GalT Flavonoid3-O-galactosyltransferaseF3H Flavanone3-hydroxylaseF30H Flavanone30-hydroxylaseF3050H Flavanone3050-hydroxylaseGC GallocatechinGST Glutathione S-transferaseLAR Leucoanthocyanidin reductasePAL Phenylalanine ammonia lyasePA ProanthocyanidinPCNA Pollination-constant and non-astringentmutantsSCPL Serine carboxypeptidase likeSK Shikimate kinaseSSH Suppression subtractive hybridisationIntroductionProanthocyanidins(PAs,also called condensed tannins)are colourless phenolic oligomers that result from the con-densation offlavan-3-ol units;they are synthesized from thefirst metabolites via the shikimate andflavonoid path-ways(see Fig.1for representative structures)(Herrmann 1995;Dixon et al.2005;Lepiniec et al.2006).Flavonoids have protective functions in plants,particularly against herbivores and UV irradiation(McMahon et al.2000; Winkel-Shirley2001),and also act as antioxidants with beneficial effects for human health including protection against free radicals and cardiovascular and metabolic diseases(Cos et al.2004;Aron and Kennedy2008).PA,as one of thefinal products of theflavonoid pathway,also contributes to the quality of many important plant products, such as wine,teas and cocoa(Aron and Kennedy2008).The shikimate pathway is central to the biosynthesis of aromatic amino acids,folates and a number of aro-matic compounds and secondary metabolites in bacteria, plants,fungi and apicomplexan parasites,but it is absent in humans and other higher animals(Herrmann1995;Herrmann and Weaver1999).The pathway consists of seven metabolic steps given in Fig.1.Chorismate synthase (CS)synthesizes chorismate acid,which is a precursor to a large number of secondary metabolites includingflavo-noids,as thefinal step of the shikimate pathway.In addi-tion,intermediates from the pathway serve as substrates for a number of other metabolic pathways including the bio-synthesis of quinate(Herrmann and Weaver1999)and gallic acid(Werner et al.2004).Gallic acid is essential for the formation of PA-3-O-gallate,which is a major esteri-fied form of PA found in many plant species,such as tea (Camellia sinensis)and grape(Vitis vinifera)(Xie and Dixon2005).PA biosynthesis is composed of synthetic pathways controlled by both structural genes encoding the enzymes that directly participate in the formation of the biochemical structure and regulatory genes that control the transcription of structural genes(Lepiniec et al.2006).Their genetics and biochemical functions have been well characterised in some plant species(Holton and Cornish1995),and great progress has recently been made in this area(Lepiniec et al. 2006;Bogs et al.2005,2007;Deluc et al.2008).Xie et al.(2003)demonstrated that BANYULS(BAN) genes encode anthocyanidin reductase(ANR)in Arabid-opsis thaliana,which converts anthocyanidins to2,3-trans-flavan-3-ols,a‘starter unit’for tannin condensation. Tanner et al.(2003)reported cloning and biochemical characterisation of another key enzyme,leucoanthocyani-din reductase(LAR),which converts leucoanthocyanidins to2,3-cis-flavan-3-ols,from Desmodium uncinatum.In Arabidopsis,transparent testa(tt)mutants that have an altered seed coat colour have been used to define many reactions in PA biosynthesis and accumulation(Abrahams et al.2002).Five structural genes of theflavonoid pathway and six regulatory genes including the Myb-like gene TT2, which control the transcription of ANR,were identified in tt mutants.In grapevine,Bogs et al.(2005,2006)demon-strated the functions and expression patterns of some genes for key enzymes of PA biosynthesis—flavonoid30 hydroxylase(F30H),flavonoid3050hydroxylase(F3050H), ANR and LAR—in developmental stages of berries and leaves.In addition,three Myb-like transcription factors (VvMYBPA1,VvMYBPA2and VvMYB5b)involved in PA biosynthesis have been characterised(Bogs et al.2007; Deluc et al.2008;Terrier et al.2009).In contrast to these findings,however,the mechanisms of galloylation,trans-portation to the vacuole and polymerisation are still not well understood(Dixon et al.2005).Oriental persimmon(Diospyros kaki Thunb.;2n= 6x=90)is one of the major fruit crops in East Asia. Persimmon fruits accumulate large amounts of high molecular weight PAs in special compartment cells called ‘tannin cells’.This makes them astringent and thereforeinedible(Taira1996).A limited number of reports have described the composition and structure of PAs in per-simmon(Matsuo and Itoo1978;Gu et al.2008),including the presence of soluble2,3-cis-flavan-3-ols and2,3-trans-flavan-3-ols(Suzuki et al.2005);however,detailed com-ponents of PA polymers and their seasonal accumulationpatterns in persimmon fruits have not yet been clarified. There is a mutant that terminates accumulation of PAs at an early stage of fruit development and has low molecular weight PAs(Ikegami et al.2005a,b).This mutant pheno-type is termed the pollination-constant and non-astringent (PCNA)type.The fruits lose their astringency naturally during development;therefore,they are edible without any artificial treatment after harvest.Thus,an aim in persim-mon breeding is to produce the PCNA type(Yonemori et al.2000).The non-PCNA type accumulates PAs during fruit development.It has been reported that the allelotype of PCNA and non-PCNA is controlled by a single gene, AST/ast,and expression of the PCNA genotype requires homozygous recessive alleles(ast)at the AST locus (Yonemori et al.2000;Kanzaki et al.2001).In genomic analysis,the AFLP markers linked to the AST locus were identified by bulked segregant analysis(BSA)and improved with RFLP and SCAR markers(Kanzaki et al. 2001).These markers have been applied to marker-assisted selection in breeding programs of the PCNA type.How-ever,it is not known what molecular mechanisms deter-mine the PCNA/non-PCNA phenotypes.This situation may be mainly due to technical difficulties,prolonged life cycle and the genetic complexity of hexaploid persimmon.With mRNA expression profiling,it was demonstrated that most of the structural genes of theflavonoid biosynthetic path-way were downregulated in two PCNA cultivars at an early stage of PA accumulation(Ikegami et al.2005a);however, detailed expression analysis of the structural genes involved in PA biosynthesis has not yet been performed, and the significant enzymes governing different PA accu-mulation patterns between PCNA and non-PCNA types have not been identified.In this study,we attempted to identify the genes involved in different PA accumulation patterns between PCNA and non-PCNA fruits during fruit development using BC1-like offspring,which are considered to be a genetically homogeneous population.For the preliminary profiling of different transcription patterns between PCNA and non-PCNA types,we employed suppression subtrac-tive hybridisation(SSH)between PCNA and non-PCNA types to isolate the genes comprehensively.We also iso-lated the structural genes in the shikimate and PA bio-synthetic pathways,and analysed differences in expression levels of these genes between PCNA and non-PCNA individuals.The results suggested that some were expres-sed differentially between PCNA and non-PCNA,and those were exactly correlated with the composition of PA as well as the total amount in fruit.The composition of PAs and degree of PA polymerisation are deeply involved in the biological activity of PAs(Xie and Dixon2005;Aron and Kennedy2008).An insight into the modification of PAs could contribute to the exploitation of various functions of PAs.To this end,we discuss the temporal network of the genes affected by the AST gene.An understanding of the temporal and fruit-specific differential regulation will contribute to future progress in the study of PA accumulation.Materials and methodsPlant materialsWe used two methods to isolate the genes,SSH and PCR analysis with degenerate primers.To isolate the genes differentially expressed between PCNA and non-PCNA, we performed SSH analysis using seven bulked individuals of PCNA or non-PCNA type in a BC1-like offspring, termed the A-line.The A-line was derived from a cross between Diospyros kaki Thunb.cv.Fuyu(PCNA)and cv. 275-13(non-PCNA).The non-PCNA parent,275-13,was derived from the cross cv.Taishu(PCNA)9cv.Aizu-mishirazu(non-PCNA).The offspring were grown and maintained at the Department of Grape and Persimmon Research,National Institute of Fruit Tree Science,Akitsu, Hiroshima,Japan.Five fruits from each plant were sam-pled on25June2004,about1month after the full bloom, and30July2004.At these sampling dates,PA biosynthesis had decreased and almost stopped in the PCNA type but not in non-PCNA type.To isolate the structural genes in the shikimate and PA biosynthetic pathways with degen-erate primers,we used fruits of a non-PCNA cv.Kuramitsu sampled on23May,25June and17July2007from the orchard of Kyoto University,Kyoto,Japan.We also analysed the temporal expression level of iso-lated genes and PA accumulation pattern,using three out of the seven individuals used in the SSH analysis for PCNA or non-PCNA types.Five fruits for each individual were sampled six times from25June to30September2004. The fresh fruits were diced into small pieces(ca.1cm9 0.7cm90.5cm),frozen with liquid nitrogen and stored at-80°C until use.Preparation of cDNAs and suppression subtractive hybridisation(SSH)analysisTotal RNA was isolated using the hot borate method(Wan and Wilkins1994)from3g of frozenflesh of each PCNA/ non-PCNA individual from the A-line.cDNA was syn-thesized from1l g of the total RNA bulked individual RNA of PCNA or non-PCNA types,using a SMART PCR cDNA Synthesis Kit(Clontech,Mountain View,CA, USA).Construction of SSH library and differential screening were performed as previously reported by Ikegami et al.(2007).To reduce false-positive clones,weperformed mirror orientation selection(Rebrikov et al. 2000)in the SSH analysis.In this study,we isolated cDNA fragments expressed specifically in astringent non-PCNA types using PCNA bulk and non-PCNA bulk as the tester and the driver,respectively.The cDNA of these positive clones were sequenced using T7or M13RV primers with CEQ8000ver7.0(Beckman Coulter,Tokyo,Japan). Vector,primer and poly(A?)sequences were removed from the output before BlastX analysis.Isolation of genes involved in PA biosynthesis Degenerate PCR primers were designed for the isolation of the structural genes in the shikimate and PA biosynthetic pathways.The aligned sequences of the genes in Arabid-opsis(A.thaliana(L.)Heynh.),cotton(Gossypium hirsu-tum L.),tomato(Lycopersicon esculentum Mill.),grape (V.vinifera L.),apple(Malus x domestica Borkh.)and beech(Fagus crenata Blume.)allowed the amplification of fragments of the corresponding genes in persimmon. In the shikimate pathway located up-stream of the phe-nylpropanoid-acetate pathway(Fig.1),the fragments for 5-enolpyruvylshikimate3-phosphate synthase(EPSPS), 3-dehydroquinate synthase(DHQS),shikimate kinase(SK), chorismate synthase(CS)and leucoanthocyanidin reduc-tase(LAR)in the PA biosynthetic pathway were isolated. The degenerate PCR primers sequences are given in Sup-plementary Table S1.The fragments of the other structural genes analysed in this report—3-deoxy-D-arabino-heptul-onate7-phosphate synthase(DAHPS),3-dehydroquinate dehydratase/shikimate dehydrogenase(DHD/SDH),phen-ylalanine ammonia lyase(PAL),chalcone isomerase(CHI),flavonoid30hydroxylase(F30H),flavonoid3050hydroxy-lase(F3050H),dihydroflavonol reductase(DFR),anthocy-anidin synthase(ANS)and ANR—were isolated in this SSH analysis and/or had been isolated previously(Ikegami et al. 2005a,2007).The full-lengths of four genes,F30H,F3050H,LAR and SCPL2,whose fragments were isolated in this SSH anal-ysis(see Table S2)or the PCR analysis with degenerate primers,were identified using rapid amplification of cDNA ends(RACE)and screening from the cDNA libraries. 30-and50-RACE were performed with a SMART RACE cDNA Amplification Kit(Clontech)using the cDNA syn-thesized from total RNA of cv.Kuramitsu sampled on23 May,25June and17July2007.The cDNA libraries were constructed with a SMART TM cDNA Library Construction Kit(Clontech)using2.0l g total RNA of cv.Kuramitsu sampled on25June and17July,according to the manu-facturer’s instructions,and screened positive clones with DIG-labelled probes(Roche Diagnostics,Basel, Switzerland).Expression analysisFruit samples of three individuals each of both PCNA (A29,A46and A87)and non-PCNA(A43,A55and A95) type collected on25June,30July and31August were used for quantitative real-time PCR analysis.Total RNA was isolated as described above.cDNAs were synthesized from ca.1l g of total RNA using SuperScriptIII trans-criptase(Invitrogen,Carlsbad,CA,USA)and oligo(dT) adapter primer.Primer pairs for amplification were designed based on the sequences of(1)the full-coding cDNA clones(for ANR,DHD/SDH,GST,F30H,F3050H, F3GalT,LAR,SCPL1and SCPL2),(2)partial cDNA isolated from this SSH analysis or PCR analysis with degenerate primers described above(for ANS,CHI,CHS, CS,DAHPS,DHQS,EPSPS,F3H and SK),(3)partial clones obtained by another preliminary study(Ikegami et al.2005a;for PAL and DFR)or(4)a partial clone isolated from young fruit of cv.Kuramitsu(17July2007) using a set of primers containing the consensus sequences (Ushijima et al.2003;for Actin)and Primer Express Software(ver 2.1;Applied Biosystems,Tokyo,Japan). All of these sequences are listed in Supplementary Table S1.Aliquots of1:5diluted pools of cDNA were used in the PCR reactions as the templates.Expression levels were assayed using an ABI PRISM7900HT(Applied Biosystems)with a SYBR Green system with SYBR-Pre-mix Ex-Taq(TaKaRa,Tokyo,Japan).All reactions were carried out in a total volume of25l L/well,consisting of 12.5l L SYBR-Pre-mix,9l L sterilised distilled water, 1l L each detection primer(5l M),0.5l L Rox dye and 1l L template cDNA.The standard amplification protocol consisted of an initial denaturing step at95°C for30s, followed by40cycles at95°C for10s,57°C for5s and 72°C for15s.For each transcript,the average threshold cycle(Ct) was automatically determined by ABI PRISM7900HT as the default state.Ct is defined as the point at which fluorescence rises appreciably above the background.For each measurement,independent standard curves were constructed and at least three replications of each sample were analysed.The mean Ct of three replications was used for each sample.Standard curves for target genes and the housekeeping gene(Actin)were obtained by the amplification of a serially diluted mixture of cDNA samples with six dilution points.The gene quantification method was based on the relative expression of the target gene versus the reference gene,Actin.In addition, the relative expression levels amongst the target genes were determined approximately using equal quantities of the PCR products of the target genes for standardisation.Analysis for PA accumulation patterns between PCNA and non-PCNAAnalysis of tannin cell size and soluble tannin contentTo determine tannin cell size,small blocks of tissue pre-pared from the equatorial region of the mesocarp were fixed with 2.5%glutaraldehyde containing0.2%tannic acid.The blocks were washed with water and macerated at 45°C in a0.05M EDTA solution(pH10.0).The mixture was oscillated at90rpm for5h according to Letham (1960).A droplet of the suspended cells that had been separated from the parenchyma cells by decanting the mixture several times was placed on a glass slide,and the images of tannin cells taken with a digital camera attached to a light microscope DP-50(Olympus Corporation, Tokyo,Japan)were stored on a computer.The areas of single tannin cells with100replicates were measured with Scion Image(Scion Corporation,Frederick,MD,USA).We examined soluble tannin content using the Folin-Ciocaltaeu method as according to Oshida et al.(1996). The soluble tannin concentration per fresh weight was expressed as(?)-catechin equivalents.Analysis of PA compositionTo extract PAs,freeze-dried fruit samples were ground to a fine powder,and10mg of the powder was mixed with 1mL70%acetone containing0.1%ascorbic acid for24h in darkness with gentle agitation.Extracts were then cen-trifuged and two200l L aliquots of the supernatant were transferred to fresh tubes and dried under vacuum at30°C for60min.One of these was used for the analysis of free monomers,and the other underwent acid-catalysed cleav-age of the PAs in the presence of excess phloroglucinol following the method of Downey et al.(2003).To deter-mine the amount of PA remaining in residues after acetone extraction,acid-catalysed cleavage was also performed on the residue in the presence of excess phloroglucinol (Downey et al.2003).These reactions were stopped with 200mM sodium acetate(twice the amount of the phloro-glucinol reagent),and then a vanillin solution(1mg van-illin in5mL1%(v/v)HCl/MeOH)of the same volume as the reagent was added as an external standard.Samples were run on a reverse-phase HPLC LC2010 (Shimadzu,Tokyo,Japan)using a Wakosil-II5C18RS (5l m,250mm94mm)analytical column protected by a guard column containing the same material.Elution was performed with two solvents,0.2%(v/v)aqueous acetic acid(solvent A)and MeOH(solvent B),using the elution programme:initially at1%B for30min,increasing to 15.5%in35min,then to45%in35min,followed by washing with100%B for15min and a return to the initial conditions(1%B).The analysis was carried out at30°C with aflow rate of1mL/min by detecting absorbance at 280nm.Concentrations of free monomer and hydrolysed termi-nal subunits were determined from a commercial standard from Sigma-Aldrich(St.Louis,MO,USA).The concen-trations of extension subunit-phloroglucinol adducts were calculated from published molar extinction coefficients (Kennedy and Jones2001).EGCG-phloroglucinol adducts were isolated and characterised using fruits of a non-PCNA type individual(cv.Yokono)(Suzuki et al.2009and unpublished results).Heterologous expression of DkANRFull-length cDNA of DkANR was subcloned into pBlue-script KS as previously described(Ikegami et al.2007). The plasmid containing DkANR was digested with Xba I and Xho I,and then ligated into pGEX-KG vector(Guan and Dixon1991)to generate a plasmid pGEX-KG-DkANR,which encodes an N-terminal in-frame fusion of DkANR with a GST tag.The resultant plasmid was transformed into BL21(DE3)pLysS cells.The transfor-mants were pre-cultured at37°C for16h in LB media containing100l g/mL ampicillin and50l g/mL chloram-phenicol.A3-mL volume of the pre-culture was inoculated into300mL of fresh LB media containing the same anti-biotics.After incubation at37°C until absorbance at 600nm reached0.2,isopropyl b-D-thiogalactopyranoside was added to the broth at afinal concentration of0.3mM, followed by further incubation at16°C for48h.The cells were harvested by centrifugation at1,200g for15min and stored at-80°C until further processing.The collected cells were resuspended with phosphate buffer saline con-taining1%Triton-X100(PBST),and the insoluble bac-terial debris was removed by centrifugation(17,000g for 15min).After dithiothreitol was added to the resulting supernatant to afinal concentration of1mM,the soluble fraction was loaded onto a3mL GSH-agarose(Sigma,St. Louis,MO,USA)column that was pre-equilibrated with PBST.The column was washed with15column volumes of PBST.The recombinant protein,which was bound to the affinity column,was eluted with15mL Tris–HCl buffer (50mM,pH9.5)containing50mM reduced glutathione. The eluted fraction was collected and concentrated with Y30membrane(Amicon,Millipore,Billerica,MA,USA), and glycerol was added to afinal concentration of10% (v/v)before being stored at-80°C.Enzymatic assay of DkANRFor in vitro assay,50l L of a standard reaction mixture containing200mM buffer,125l Mflavonoid substrates,2mM NADPH and the fraction containing180l g of recombinant protein was incubated at45°C for30min.The reaction was stopped by adding100l L of1%HCl/meth-anol after incubation.Then300l L of ethyl acetate was added to the reaction mixture,vortexed and centrifuged for 1min.The supernatant was transferred to another tube and dried before being dissolved in80%MeOH.Afterfiltration through a PVDF membranefilter(0.45l m),reaction products were analysed by HPLC(1100Series,Agilent, Santa Clara,CA,USA).HPLC analysis offlavonoids was performed on a reversed-phase YMC-ODS A column (4.6mm i.d.9150mm;YMC,Kyoto,Japan)with2% acetic acid(buffer A)and methanol(buffer B)as eluent at aflow rate of1.0ml/min by HPLC(Agilent).Flavonoids were resolved using a gradient of0–30min,5%B;30–32min,25%B;32–37min,100%B;37–39min,5% B.Enzymatic reaction products of DkANR,flavan-3-ols, were detected by monitoring absorbance at280nm. Cyanidin and delphinidin were purchased from Indofine Chemicals(Hillsborough,NJ,USA).Cyanidin3-galacto-side,catechin(CA),epicatechin(EC),gallocatechin(GC) and epigallocatechin(EGC)were from Sigma-Aldrich.The activity of the recombinant DkANR against cyani-din and delphinidin was tested for production of EC and EGC.We identified them in comparison to standard sam-ples of CA,EC,GC and EGC in HPLC analysis.The variation in activity with pH,using the buffers Mes–KOH (pH6.0)Hepes–KOH(7.0)and Tris–HCl(8.0),was tested on the reduced substrate delphinidin.Standard assays were carried out as described,with the buffer concentrationfixed at200mM throughout.ResultsPA accumulation patterns in PCNA and non-PCNA typesPA content of PCNA and non-PCNA types Previously,Ikegami et al.(2005a)reported that the soluble tannin concentration reduced remarkably in the PCNA type compared to the non-PCNA type during the early stages of fruit development in two cultivars,cv.Hanagosho and cv. Suruga.In this study,we confirmed the same tendency in PCNA types of BC1-like A-line progeny(Fig.2a). Differential accumulation patterns of soluble tannin con-centration or content were observed until16August, 2.5months before full maturation(Fig.2a,b).At the end of August,the accumulation patterns of PCNA and non-PCNA were comparable to each other.At the last sampling point on30September,1month before full maturation,the amount of soluble tannin content in the PCNA type was over four times less than that in the non-PCNA type (P\0.01).The size of the tannin cells,which were asso-ciated with tannin content(Fig.2b,Yonemori and Matsu-shima1985),did not increase in the PCNA type after25 June(Fig.2c).By contrast,the tannin cells of the non-PCNA type grew until the beginning of August,as previ-ously reported by Yonemori and Matsushima(1985).This tendency and its association with soluble tannin content have been confirmed in some PCNA and non-PCNA cul-tivars(Ikegami et al.2005a;Yonemori and Matsushima 1985).Despite these differential PA accumulation patterns, there was no significant developmental difference in fruit weight between PCNA and non-PCNA types(Fig.2d; P=0.252on30September).PA composition between PCNA and non-PCNA types Most of the PA units were EGC and its gallate form (EGCG)in both PCNA and non-PCNA types(Fig.3a).EC and its gallate form(ECG)were also detected,but other PAs and their gallates were detected only at low levels or not detected at all.Since EGC and EC are synthesized by ANR(see Fig.1),it is considered to be a significant enzyme in the accumulation of PA in persimmon fruits.We confirmed that the EGC and EGCG contents of PCNA types were remarkably reduced compared to non-PCNA types after30July(Fig.3a;on31August,P\0.01for EGC and EGCG),but the other PAs(EC,GC and ECG) showed no difference in accumulation patterns between the two types.EGC biosynthesis needs the enzymatic activity of F3050H and ANR(see Fig.1);therefore,the seasonal reduction of EGC and EGCG in PCNA types might be due to the decline of their activities or the expression levels of genes coding them.Although different accumulation pat-terns were statistically determined for CA(P\0.01),the absolute amount of CA was almost below the detection limit,and its relative amount to the other main components was low.In addition,the total amounts of gallic acid or gallate,existing as a monomer or ester group,were lower in PCNA types than non-PCNA types(Fig.3a for gallate ester,b for monomer).Compared to that in PCNA types, the average amount of gallic acid as a free monomer in non-PCNA types was15times higher on25June (P\0.002),38times higher on30July(P\0.001)and 93times higher on31August(P\0.001).It has been reported that the gallic acid free monomer content in some non-PCNA cultivars was higher than that in PCNA culti-vars(Yonemori et al.1983);this is consistent with our results.One of the possible reasons for the coincidental reduction in gallic acid and EGC content in PCNA types is downregulation of transcription factors which coregulating the biosynthesis of gallic acid and PAs,as Terrier et al. (2009)demonstrated a parallel induction of genes involved。

Crystallography for Structural Determination

Crystallography for Structural Determination

Crystallography for StructuralDeterminationIntroductionEvery molecule has its unique shape, and its biological function is determined by its structure or conformation. The study of molecular structure plays a vital role in various fields like analytical chemistry, biochemistry, and drug discovery. Crystallography is a powerful tool for determining the three-dimensional structure of molecules that are present in crystalline form. In this article, we will discuss the basics of crystallography and its application in the determination of molecular structures.What is crystallography?Crystallography is the study of crystal structures, which involves the determination of the three-dimensional arrangement of atoms, ions, or molecules in a crystal lattice. The lattice is an orderly array of points that represent the positions of the repeating units in a crystal.How does crystallography work?The crystallographic method involves the following steps:Step 1: Crystal growthThe first step in crystallography is to crystallize the molecule of interest. The molecule must be soluble in a suitable solvent, and other crystallization conditions such as temperature, pH, and precipitant concentration must be optimized to obtain good quality crystals.Step 2: Data collectionOnce the crystals are grown, they are exposed to a beam of X-rays. The X-rays interact with the atoms in the crystal and are diffracted in different directions by thecrystal lattice. The resulting diffraction pattern is captured by a detector, and this data is used to calculate the electron density of the molecule.Step 3: Electron density calculationThe aim of the crystallographic method is to calculate the electron density of the molecule from the diffraction data. The electron density map is calculated using a mathematical technique called Fourier transformation.Step 4: Model building and refinementOnce the electron density map is generated, the next step is to build a model of the molecule within the electron density. This is done by fitting known chemical components into the electron density. The model is then refined to optimize its fit to the electron density.Step 5: ValidationThe final step in crystallography is the validation of the model. The model must be verified against the crystallographic data, and any errors or discrepancies must be corrected.Applications of crystallographyCrystallography is a widely used technique in the study of molecular structures and has applications in several fields, including:1. Drug discovery: The identification and optimization of small molecules as drug candidates rely heavily on the determination of their molecular structure. Crystallography has been used to determine the structure of several important drug targets such as proteases, kinases, and G-protein coupled receptors.2. Material science: Many materials like minerals, alloys, and polymers have crystalline structures, and their properties are dependent on their atomic arrangement. Crystallography can be used to determine the crystal structure of such materials and elucidate their properties.3. Biological research: The structure of macromolecules like proteins, nucleic acids, and carbohydrates is of great importance in understanding their biological functions. Several important biological processes like DNA replication, protein synthesis, and enzyme catalysis have been elucidated using crystallography.ConclusionCrystallography is an essential tool in the determination of the three-dimensional structure of molecules. It allows for the visualization of molecular structures with atomic resolution and has a wide range of applications in several fields. The continued development of crystallographic techniques and instrumentation will undoubtedly enable the study of increasingly complex molecular systems.。

Astructurefordeoxyribosenucleicacid

Astructurefordeoxyribosenucleicacid
The characteristics of DNA include its double stranded helix structure, semi conservative replication, and the ability to store and transmit genetic information
Complexity: The sequence of bases on one strand of DNA determines the sequence on the potential strand through the principle of completeness This means that the order of bases on one strand is complete to the order on the other strand, with A pairing with T and G pairing with C
Structural constraint elements
The structural constraint elements of DNA include the nucleotides, which are made up of a phase group, a deoxyribose sugar, and a nitrogen base (A, T, G, or C)
In addition to the nucleotides, DNA also contains epigenetic marks such as methylation and acetylation, which can affect gene expression without altering the DNA sequence itself

the structural equation modelling analysis

the structural equation modelling analysis

结构方程模型(Structural Equation Modeling,简称SEM)是一种统计分析方法,用于测试假设关于特定变量间因果关系的理论模型。

在SEM分析中,通常会用到两种主要的分析方法:验证性因子分析(Confirmatory Factor Analysis,简称CFA)和路径分析(Path Analysis)。

验证性因子分析(CFA):这是一种用于评估测量模型的方法,主要目的是检验观测变量(通常是问卷中的项目或指标)是否能够有效地测量潜在变量(理论上的概念或结构)。

CFA会估计因子载荷(表示观测变量与潜在变量之间的关系强度)以及误差方差(表示观测变量中无法被潜在变量解释的部分)。

路径分析:这是一种用于评估结构模型的方法,主要目的是检验潜在变量之间的假设关系。

在路径分析中,会估计路径系数(表示潜在变量之间的直接效应)以及间接效应(通过一个或多个中介变量传递的效应)。

SEM分析的主要步骤包括:模型设定:根据理论或研究假设,设定测量模型和结构模型。

这包括指定潜在变量、观测变量、以及它们之间的关系。

参数估计:使用统计软件(如AMOS、Mplus或R语言中的相关包)来估计模型参数。

这通常涉及最大似然估计或其他优化算法。

模型评估:评估模型的拟合度,即模型预测的数据与实际观测数据之间的一致性。

这通常涉及一系列拟合指数,如卡方值、比较拟合指数(CFI)、塔克-莱文指数(TLI)和均方根误差近似值(RMSEA)等。

模型修正:如果模型拟合不佳,可以根据理论或数据驱动的方法对模型进行修正。

这可能包括添加或删除路径、修改测量模型或考虑其他潜在变量。

模型解释:解释模型的结果,包括因子载荷、路径系数和间接效应等。

这些结果可以帮助理解潜在变量之间的关系以及观测变量如何测量这些潜在变量。

通过SEM分析,研究人员可以检验复杂的理论模型,并深入了解变量之间的因果关系。

钢纤维在钢筋混凝土结构抗震设计中的影响

钢纤维在钢筋混凝土结构抗震设计中的影响

Materials and Structures(2007)40:175–188DOI10.1617/s11527-006-9129-5O R I G I N A L A R T I C L EThe effect of steelfibres on the earthquake-resistant design of reinforced concrete structuresG.Kotsovos·C.Zeris·M.KotsovosReceived:11June2005/Accepted:23December2005/Published online:21September2006C RILEM2006Abstract The results of an experimental investiga-tion are presented,studying the effect offibres on the behaviour of reinforced-concrete(RC)structures de-signed in accordance with Eurocode8.Twelve two-span continuous RC columns,eight with and four with-out steelfibres,were tested to failure,under constant axial force and monotonic or cyclic lateral displace-ment.Specimens withoutfibres suffered in some cases premature brittle failure,reflecting the incompatibility between post-peak concrete behaviour and the theoret-ical model underlying RC design.It was shown that it is possible to correct for this incompatibility through the use of steelfibres,resulting in a behaviour that satis-fied current performance requirements for strength and ductility.R´e sum´e Les r´e sultats d’une recherche exp´e rimentale,´e tudiant l influence desfibres m´e talliques sur le com-portement des structures`a b´e ton arm´e conc¸ues selon Eurocode8,sont pr´e sent´e es.Douze poteaux continues G.KotsovosResearch Assistant,National Technical University of Athens,Zografou15780,GreeceC.ZerisLecturer,National Technical University of Athens,Zografou15780,GreeceM.Kotsovos( )Professor,National Technical University of Athens, Zografou15780,Greecee-mail:mkotsov@central.ntua.gr sur deux trav´e es en b´e ton arm´e,dont huit construits en utilisant desfibres m´e talliques en acier et quatres construits sansfibres,sont test´e s`a ruine,sous effort ax-ial et d´e placement lat´e rale monotonique ou cyclique. Les sp´e cimens sansfibres ont pr´e sent´e,dans certains cas,un mode de ruine pr´e matur´e et fragile refl´e tant l’incompatibilit´e entre le comportement r´e el du b´e ton et le model th´e orique sur le quel sont bases les r`e gles de calcul des ouvrages en b´e ton.Il a´e t´e montr´e qu’il est possible de corriger cette incompatibilit´e en util-isant desfibres m´e talliques en acier ayant pour r´e sultat un comportement qui r´e pond aux exigences courantes concernant la r´e sistance et la ductilit´e.Keywords Columns.Reinforced concrete. Earthquake-resistant design.Steelfibres.Ductility 1.IntroductionIn recent years there has been an increasing amount of evidence indicating that current code methods for the earthquake-resistant design of RC structures do not always safeguard against brittle types of failure[1–7]. Such types of failure–unexpectedly suffered by the vertical structural elements of RC buildings during the 1999Athens earthquake[8]–prompted research which not only reproduced them under controlled laboratory conditions,but alsodemonstrated that their causes re-late with the truss analogy(TA)which underlies RC design[3–7].Since its inception at the turning to the20th century [9,10],not only has TA remained to date the back-bone of RC design,with more refined versions of it (in the form of the compression-field theory[11]and strut-and-tie models[12])becoming increasingly pop-ular[13–15],but also its use has been extended for the description of the physical state of RC structures at their ultimate-limit state by incorporating concepts such as strain softening[16],aggregate interlock[17,18],and dowel action[19].And yet,these concepts are incom-patible with fundamental properties of concrete at the material level:strain-softening has been found to de-scribe the interaction between specimen and testing de-vice rather than the post-peak behaviour of concrete [20–22];on the other hand,aggregate interlock and dowel action can only be effected through the shear-ing movement of the crack faces and this is incompat-ible with the cracking mechanism of concrete which involves crack extension in the direction of the maxi-mum principal compressive stress and opening in the orthogonal direction[23,24].Moreover,tests on RC beams have shown that the contribution of both aggre-gate interlock[25–28]and dowel action[29]on the beam load-carrying capacity is,if any,negligible.Of the above concepts,only the need for concrete to possess strain softening characteristics may be con-sidered as a prerequisite for the application of TA.Be-yond the peak-load level,concrete is severely cracked and therefore its post-peak deformational characteris-tics essentially describe the behaviour of cracked con-crete.Of course,cracking may pre-exist in concrete even before this is subjected to any load,but,under load increasing up to near the peak-load level,crack-ing occurs at the microscopic level;it is that near the peak-load level that the cracks interconnect and be-come visible and oriented[23,24].Henceforth,the term“cracking”is used to describe“visible oriented cracking”.The web of an RC beam or column element at its ulti-mate limit state suffers significant cracking and,hence, modelling such an element as a truss requires cracked concrete to have sufficient residual strength in order to allow for the formation of the inclined struts of the truss within the element web.Since concrete is characterised by a complete and immediate loss of load-carrying ca-pacity as soon as its peak-load level is attained[20–22], such inclined struts can only form if it is possible to im-part concrete strain softening characteristics causing a gradual reduction of loss of load-carrying capacity.To this end,the aim of the present work is to demon-strate experimentally the need for concrete to possess such strain-softening material characteristics,for a de-sign method,based on TA,to yield solutions that satisfy the performance requirements of current codes of prac-tice.Three groups of two-span RC column elements designed to TA as implemented by EC2[14]are tested to failure under the combined action of a constant ax-ial force and monotonic or cyclic lateral displacement. In two of the groups,the specimens are made of con-crete containing steelfibres.Thefibres are used in order to impart concrete strain-softening characteristics[30], which concrete of the specimens withoutfibres lacks.The beneficial use of steelfibres in the monotonic be-haviour of beams with slender or squat shear span char-acteristics has been demonstrated already by several researchers[31–34],who tested primarily statically determinate beams under two point loading,with or without steelfibres,up to3%content by volume.Other experimental parameters were the shear span to depth ratio(with recent interest in the short beam range[34]) and,particularly,in the influence of thefibers in high-strength concrete elements,where the brittleness of the material is more pronounced[32–34].The use of two-span elements herein is opted be-cause experimental information on the behaviour of indeterminate specimens is sparse compared to that ob-tained from tests on determinate structural elements. Moreover,the testing of indeterminate structural ele-ments provides a more severe test of the validity of a design method,since it allows the investigation of fea-tures of the structural element behaviour such as,for example,plastic hinge formation,strength and ductil-ity characteristics of plastic hinges,the structural mod-elling of points of inflection,etc.,which cannot be in-vestigated by testing structurally determinate elements.2.Experimental detailsThe two-span linear structural elements investigated in the programme are shown in Fig.1.Thefigure also shows the load arrangement and the corresponding bending moment and shear force diagrams for the cases of either only the cross section through C or both the cross sections through B and C attaining theirflexural capacity.These diagrams are derived by linear-elastic analysis in the former case,and by plastic analysis in the latter.It is interesting to note in thefigure thatportion1.02 Mp 1.02 Mp0.83 Mp 0.51 Mp2.05 Mp1.65 Mp1.0 Mp 1.0 Mp1.0 Mp 0.61 MpP 2 3,07Mp (a)(b)VMFig.1Structural forms investigated.(a)Applied forces.(b)Bending moment (M )and shear force (V )diagrams corresponding to the formation of one(indicated by the faint lines)and two (indicated by the dense lines)plastic hinges.(P 1,P 2:the forces corresponding to theformation of one and two,respectively,plastic hinges;M p :the cross section flexural capacity)BC of the structural element is subjected to internal ac-tions similar to those of a column.Similarly,portions AB and CD are subjected to internal actions similar to those of the portion of a column between its point of inflection and one of its ends.2.1.Loading pathThe specimens are subjected to sequential loading com-prising axial (N )and transverse (P )components,as in-dicated in Fig.1.Following the test sequence,axial load N is applied first and increases to a predefined value equal to N ≈0.2N u =0.2f c bh (N u being the maxi-mum value of N that can be sustained by the specimen in pure compression,f c the uniaxial cylinder compressivestrength of concrete,and b ,h the cross-sectional dimen-sions of the specimen),where it is maintained constant during the subsequent application of P .The latter force (applied at the middle of the larger span)increases to failure either monotonically,or in a cyclic manner,in-ducing progressively increasing displacements in re-versing directions.2.2.Experimental set-upThe experimental arrangement used for the tests com-prises two identical steel portal frames,with double-T cross-section,bolted in parallel onto the laboratory strong floor at distances equal to the element spans.As shown in Fig.2,the element is supported using two1200 mm975 mm975 mm 150 mm150 mmFig.2Experimental set-upFig.3Design details of specimens with longitudinal steel reinforcementexternal roller supports and an internal hinge support that are positioned underneath the bottom flange of the frame beams so that the reactions can act either upwards or downwards depending on the sense of the trans-verse point load.The transverse load is applied through a double-stroke 500kN hydraulic actuator (manufac-tured by MTS TM )fixed to the laboratory strong floor.The axial-compressive force is applied concentrically using an external prestressing force induced by high-yield steel rods symmetrically arranged about the lon-gitudinal axis of the element and acting on the hori-zontal plane.The rods are anchored in two steel plates,one of them being attached at one end face of the ele-ment through a load-platen arrangement ensuring con-centric loading,while the other is attached at the end face of a 500kN hydraulic actuator (manufactured by Enerpac TM )acting against another steel load-platen ar-rangement attached to the other end of the specimen.The actuator maintains the axial force constant with an accuracy of ±1kN.The transverse load is displacement controlled.It is interrupted at regular intervals,corresponding toTable 1Design values of specimens testedSpecimen M B ,d M C ,d V AB ,d V BC ,d V C D ,d N D12-C30-M 53534410954300D12-C30-C 53534410954300D12-C60-M 68685613969446D12-C60-C 79796616281640D14-FC30-M 54544511155275D14-FC30-C 54544511155275D14-FC60-M 78786516080577D14-FC60-C 78786516080577D16-FC30-M 56564611557300D16-FC30-C 56564611557300D16-FC60-M 71715914672480D16-FC60-C71715914672480displacement increments of approximately5mm,at which the load is maintained constant for at least1min in order to mark cracks and take photographs of the specimen’s crack pattern.The load and two of the three support reactions are measured by using load cells, while the specimen deflection at the location of the transverse load point is measured by a linear variable displacement transducer(LVDT).The forces and de-flections are recorded by using a computer-based data-acquisition system.Since measuring one support reaction is sufficient for the calculation of the remaining two reactions from the equilibrium conditions,the measured values of the additional reaction are used for assessing the accuracy of the obtained force measurements.This assessment is based on the comparison between the measured values and their calculated counterparts,which shows that the difference between two such values does not exceed 2kN.2.3.Specimen designThe elements are designed fromfirst principles by using the TA method,as implemented in EC2[14],assuming that their load-carrying capacity is reached when the cross-sections through support B and the transverse-load point C(see Fig.1)attain theirflexural capac-ity,the latter condition being referred to henceforthas plastic-hinge ing the cross-sectionaland material characteristics of the specimens,togetherwith a rectangular compressive-stress block as recom-mended by the EC2[14],theflexural capacity of theelement is calculated as M p(for a value of N equal toN≈0.2bh f c).Assuming that,at the ultimate-limit state,the bend-ing moments at cross-sections through support B(M B)and load point C(M C)are equal to M B=M C=M p, the indeterminate specimen becomes determinate andthe shear forces within the portions AB,BC,and CD areeasily calculated as V AB=0.51M p,V BC=2.05M p, and V C D=1.02M p,as indicated in Fig.1(which also shows the corresponding values resulting from elastic analysis).These values are used as design values for safeguarding against shear failure,in line with current code thinking where critical cross-sections are checked for shear.The values of bending moment,shear force and axial force used to design the specimens are given in Table1,where M B,d,M C,d the bending moments(in kNm)at support B and load point C;V AB,d,V BC,d and V C D,d the shear forces(in kN)within portions AB,BCTable2Concrete mixdetails.(Quantities in Kg.)Concrete mixes C30C60FC30FC60CEM II/B-M(PL)32.5N280–280–CEM I42.5N–400–400SAND0/4Halyps830944819918GRA VEL4/16Halyps10638381049814SILICA FUME Anglefort–40–40CIMFLUID2019AXIM 3.99– 3.99–CIMFLUID2010AXIM– 2.7– 2.7Steelfibres DRAMIX RC80/60BN––25–Steelfibres DRAMIX RC65/35BN–––50Water(added,on dry aggregates)171186171186Weff/C0.550.420.550.42Table3Experimental and calculated values of P(kN) and correspondingδ(mm) at various load levels, specimens under monotonic loadingExperimental CalculatedSpecimen P maxδP maxδ0.85P max P ty P ny=P1P P2P P max/P2PδnyμD12C30M19030.554105142164 1.1611.0 4.9 D12C60M21730.664158183210 1.0311.2 5.7 D14FC30M17330.357.9110144166 1.0511.1 5.2 D14FC60M23827.758.91732092400.9912.7 4.7 D16FC30M18731.165.5109149171 1.09116 D16FC60M23532.862.3150190218 1.0812.45.0Table4Experimental and calculated values of P(kN)and correspondingδ(mm)at various load levels,specimens under cyclic loadingExperimental CalculatedSpecimen P maxδP maxδsustδfail P ty P ny=P1P P2P P max/P2Pδnyμsustμfail D12C30C17529.015.731.2105142164 1.0711.0 1.4 2.8 D12C60C23519.217.1251642112430.9713.5 1.3 1.9 D14FC30C17839.141.555.2110144166 1.0811.1 3.7 5.0 D14FC60C23332.923.436.41732092400.9712.7 1.8 2.9 D16FC30C18337.34055109149171 1.0711.0 3.6 5.0 D16FC60C22317.040.150150190218 1.0212.4 3.2 4.0Table5Experimental values of bending moment(in kNm)at the support B(M B,e)and the load point C(M C,e)and shear force(in kN)within portions AB(V AB,e),BC(V BC,e)and CD(V C D,e),mode and location of failure for all specimensSpecimen M B,e M B,e/M B,d M C,e M C,e/M C,d V AB,e V BC,e V C D,e Failure mode Failure locationD12C30M60.7 1.1471.4 1.355112664Shear CD right of CD12C60M75.9 1.1281.5 1.206314770Flexural Load point CD14FC30M54.6 1.0165.4 1.214611559Flexural Load point CD14FC60M81.7 1.0591.1 1.176816177Comp.zone&inclined crackingCD right of CD16FC30M59.7 1.0770.6 1.265012463Flexural Load point CD16FC60M74.9 1.0692.8 1.316215679Flexural Load point CD12C30C58.4 1.1064.8 1.224911758Web horizontal&inclined crackingMiddle of BCD12C60C78.60.9987.6 1.116515877Shear CD right of CD14FC30C61.4 1.1466.7 1.245112057Comp.zone&inclined crackingCD right of CD14FC60C82.7 1.0691.3 1.176915974Comp.zone&inclined crackingCD right of CD16FC30C64.8 1.1668.0 1.215412558Flexural Load point CD16FC60C77.6 1.0978.1 1.106515172Flexural Load point Cand CD,respectively;and N the axial force(in kN). (For locations of B,C,AB,BC and CD see Fig.1).It should be noted that for the calculation of bothflexural and shear capacities of the elements,all safety factors are taken equal to1.0.2.4.SpecimensAll structural elements are simply supported two-span continuous beam-columns,with a large span of 1950mm and a small span of1200mm.Their to-tal length is3350mm,with a square cross-section of200mm side.Henceforth these structural ele-ments are referred to by using a three-part name, with the constituent parts arranged in sequence(i.e. part1part2part3)as follows:part1,the diameter of the longitudinal steel reinforcement;part2,the con-crete mix used,and;part3,the loading history adopted (see Section2.1).Full design details of the specimens are shown in Fig.3.2.4.1.ReinforcementFor part1,three different types of longitudinal rein-forcement are used:12mm diameter bars denoted as D12;14mm diameter bars denoted as D14;and 16mm diameter bars denoted as D16.The above steel characteristics are indicated in the structural-element name by replacing part1with D12,D14,and D16, respectively.The average yield-stress(f y)and ulti-mate strength(f u)of the reinforcing bars,as obtained from tension tests,were624MPa and736MPaforTable6Experimental values of bending moment(in kNm)at support B(M B,e)and load point C(M C,e)and shear force(in kN) within portions AB(V AB,e),BC(V BC,e)and CD(V C D,e),mode and location of failure for all specimensSpecimen portionAB left side AB right side BC both ends BC middle CD left side CD right side Specimen EC2ACI EC2ACI EC2ACI EC2ACI EC2ACI EC2ACIMonotonic testsD12C30133162218255218255133162218255133162 D12C60165227283356283356165227283356165227 D14FC309812717120817120811914817120898127 D14FC60158226339422339422171239339422158226 D16FC30135159255288255288135159255288135159 D16FC60172216289346289346172216289346172216Cyclic testsD12C30133162218255218255133162218255133162 D12C60190254305383305383190254305383190254 D14FC309812717120817120811914817120898127 D14FC60158226339422339422171239339422158226 D16FC30135159255288255288135159255288135159 D16FC60172216289346289346172216289346172216 Table7Ratios of shear capacities predicted by EC2and ACI to measured shear forces for the various portions of specimens(values in bold indicate locations of shear failure)Specimen portionAB left side AB right side BC both ends BC middle CD left side CD right side Specimen EC2ACI EC2ACI EC2ACI EC2ACI EC2ACI EC2ACIMonotonic testsD12C30 2.63 3.20 4.31 5.04 1.73 2.02 1.05 1.28 3.41 3.99 2.08 2.54 D12C60 2.61 3.59 4.48 5.63 1.92 2.42 1.12 1.54 4.07 5.12 2.37 3.26 D14FC30 2.15 2.79 3.76 4.57 1.49 1.82 1.04 1.29 2.92 3.56 1.68 2.17 D14FC60 2.32 3.32 4.98 6.20 2.11 2.62 1.06 1.49 4.40 5.47 2.05 2.93 D16FC30 2.71 3.19 5.12 5.79 2.05 2.32 1.09 1.28 4.06 4.58 2.15 2.53 D16FC60 2.75 3.46 4.63 5.54 1.85 2.22 1.10 1.39 3.65 4.38 2.18 2.73Cyclic testsD12C30 2.73 3.33 4.48 5.24 1.86 2.17 1.13 1.38 3.79 4.43 2.31 2.82 D12C60 2.90 3.88 4.66 5.85 1.93 2.43 1.20 1.61 3.95 4.96 2.46 3.29 D14FC30 1.92 2.48 3.34 4.07 1.42 1.730.99 1.23 2.98 3.62 1.71 2.21 D14FC60 2.29 3.28 4.92 6.12 2.13 2.65 1.08 1.50 4.57 5.69 2.13 3.05 D16FC30 2.50 2.94 4.72 5.33 2.04 2.31 1.08 1.27 4.38 4.94 2.32 2.73 D16FC60 2.66 3.34 4.47 5.35 1.91 2.29 1.14 1.43 4.03 4.83 2.40 3.01D12,587MPa and747MPa for D14and556MPa and743MPa for D16bars,respectively.From simi-lar tensile tests,the values of f y and f u for the trans-verse reinforcement are also obtained to be equal to 318MPa and395MPa,for the6mm and471MPa and684MPa,for the8mm diameter stirrup steel, respectively.2.4.2.ConcreteConcrete mixes with f c approximately equal to30MPa and60MPa are used for the specimens,with one mix of each type containing steelfibres.The concrete mixes withoutfibres are denoted as C30and C60and are used for the D12specimens only,whereas those withfibres,Fig.4Specimen D12C30M:(a)Load-displacement curve and (b)mode of failuredenoted as FC30and FC60,are used for the larger diameters.The type of concrete used is indicated in the specimen name by replacing part2with C30,C60, FC30or FC60.The mix designs(given in Table2)were provided by Unib´e ton,using local aggregate furnished by their subsidiary in Greece,Halyps S.A.Concrete is cast in batches for each category.All specimens(including at least six cylinders per batch) are cured under wet hessian for one month,after which they are stored under laboratory ambient conditions at a temperature of approximately20◦C and a relative humidity of approximately50%.For each batch of con-crete,the concrete compressive strength is determined by crushing the six cylinders at the time of testing, approximately two months after casting.The corre-sponding compressive strengths are:39MPa for spec-imens D12-C30and74MPa for D12-C60;34MPa for specimens D14-FC30and72MPa for D14-FC60;and finally,37MPa for specimens D16-FC30and62MPa forD16-FC60.Fig.5Specimen D12C60M:(a)Load-displacement curve and(b)mode of failure2.4.3.LoadingThe loading regime used in the programme,broadly classified as monotonic loading and cyclic loading,is denoted as M and C,respectively,replacing part3in the structural element name.3.Test resultsThe test results are presented in Tables3to7and Figs.5to16.Tables3and4compare the experi-mental established and calculated values of the trans-verse load and corresponding displacement at vari-ous load stages for specimens M and C,respectively (P y,P1P,P2P and P max:the values of transverse force atfirst(incipient)yield,1st plastic hinge,2nd plastic hinge(predicted load-carrying capacity)and experimentally established peak level,respectivly;δny,δPmax,δ0.85P max,δsust,andδfail:the valuesofFig.6Specimen D14FC30M:(a)Load-displacement curve and (b)mode of failuretransverse displacement at P y,P max,the post-peakvalue of P=0.85P max,the maximum sustained load-ing cycle and loading cycle that caused failure,re-spectively;μsust=δ0.85P max/δny orμsust=δsust/δny for the cases of monotonic and cyclic,respectively,loading,andμfail=δfail/δny for cyclic loading,δ1P=δny).The experimentally obtained values of the internalactions(bending moments and shear forces),the failuremode,and the location of failure for all specimenstested are given in Table5.In Table6the code predic-tions of shear capacity are given for each shear span,whereas Table7shows the ratios of these values to theirexperimental counterparts(values in bold indicate lo-cations of shear failure).Thefigures show(a)the load-displacement curvesand(b)the mode of failure of the specimens tested,with Figs.5–10describing specimen behaviour un-der monotonic loading and Figs.11–16under cyclicloading(The triangular symbols represent–mov-ing upwards–incipient yield,first plastic hingeδny Fig.7Specimen D14FC60M:(a)Load-displacement curve and (b)mode of failureand load at the second plastic hinge formation P2p, respectively).Although the work primarily focuses on structural behaviour under cyclic loading,testing under mono-tonic loading was considered essential for purposes of comparison.Moreover,the results obtained under monotonic loading were used to define a nominal value of the yield point,which formed the basis for the as-sessment of the ductility ratio of all specimens.3.1.Discussion of test results under monotonic loadingFigures4to9show the load-displacement curves ob-tained in the monotonic loading tests.Thefigures also indicate the location of the nominal yield point,used for assessing the ductility ratio,determined as follows: (a)The section bending moment at“true”yield,M ty(assessed by assuming that yielding occurs when either the tension reinforcement yields or the con-crete strain at the extreme compressivefibreattainsFig.8Specimen D16FC30M:(a)Load-displacement curve and (b)mode of failurea value of0.002)and the sectionflexural capacity,M p,arefirst calculated.(b)Using the values of M ty and M p derived in(a),thecorresponding values of the transverse load at true yield,P ty=2.67M ty,and at the formation of the 1st plastic hinge,P1P=2.67M p,are obtained,as indicated in Fig.1.(c)In Figs.4–9,lines are drawn through the points ofthe load-displacement curves at P=0and P= P ty.These lines are extended to the load level P ny=P1P,which is considered to define the nomi-nal yield resistance and the corresponding displace-mentδny,provided in Table3.(d)Using this displacement the specimen’s ductilityratio(μ)is defined,as the ratio of the displace-ment at a post-peak load of85%the load-carrying capacity(δ0.85P max)toδny,i.e.μ=δ0.85P max/δny, also given in Table3.Figures4–9indicate that the presence offibres does not have any apparent effect neither on ductility nor on the mode of failure of the specimens testedunder Fig.9Specimen D16FC60M:(a)Load-displacement curve and (b)mode of failuremonotonic loading.The specimens exhibit ductile be-haviour which,for all but two specimens,combines with aflexural mode of failure.The mode of failure of the above two specimens,one with and the other withoutfibres,is characterised by the formation of in-clined cracking outside the critical length of span CD (see Fig.1),which penetrates deeply into the compres-sive zone leading to failure(see Figs.4and7).The only difference in the mode of failure of these specimens ap-pears to be that the presence offibres on the one hand reduces the width and on the other increases the number of inclined cracks(shown in Fig.7),as opposed to the single and wide inclined crack(shown in Fig.4)which characterises the behaviour of the specimens without fibres.Table3indicates that the specimen ductility ratio (μ),varies between4.3and6.1,with the smaller values obtained by the higher strength concrete specimens.It may also be noted in Table3that,for all specimens, the experimental values of load-carrying capacity P max are larger than their calculated counterparts,by an amount varying between3%and15%.However,Fig.10Specimen D12C30C:(a)Load-displacement curve and (b)mode of failurewhile for the specimens withoutfibres this increase in P max is considerably larger for the lower-strength concrete elements,this increase in P max appears to be independent of concrete strength for specimens FC.It is considered that the above increase in P max re-flects an increase inflexural capacity shown in Table5. The causes for the latter were found to be unaffected by the confinement offered by the dense stirrup spacing in the critical regions[7]and are discussed elsewhere [1].3.2.Discussion of test results under cyclic loading Figures10–15show that,in contrast with the speci-mens tested under monotonic loading,those tested un-der cyclic loading exhibit behaviour heavily dependent on the presence offibres in the mix.In fact,Table4 shows that,for the loading cycle that induced the max-imum sustained displacement(δsust),the ductility ratio (μsust=δsust/δny)varied from1.4to3.74,whilethe Fig.11Specimen D12C60C:(a)Load-displacement curve and (b)mode of failureductility ratio at failure(μfail=δfail/δny,whereδfail the displacement at which conventional failure occurred) varied between1.6and5.0,depending on the use or not of steelfibres.It is interesting to note in Figs.10and11that the specimens withoutfibres exhibit very low ductility which,as Table4indicates,corresponds to a ductil-ity ratioδsust of approximately1.5.Figures10(a)and (b)show that such a low ductility is characterised by a brittle type of failure due to near horizontal splitting of the portion of the specimen between the load point and the internal support(portion BC in Fig.1),in the region of the point of inflection.And yet,Table7indi-cates that,for specimen D12C30M,there is an approx-imately10%margin of safety against the occurrence of such a type of failure,whereas for specimen D12C60C, the margin of safety increases to20%.A similar type failure by horizontal splitting within portion BC appears to occur in specimens D14FC30C and D14FC60C(Figs.13(b)and14(b)).However,such splitting occurs concurrently with inclined crackingin。

Constraint-Based Reasoning for Structural Concrete Design and Detailing

Constraint-Based Reasoning for Structural Concrete Design and Detailing

Constraint-Based Reasoning for Structural Concrete Design and Detailing Warren K. Lucas, W.M. Kim Roddis and Frank M. BrownThe University of KansasSUMMARYConcrete used as an engineering material offers a great deal of flexibility to a potential owner, construction contractor and design engineer. This flexibility carries with it a burden of difficult design standardization and an increased awareness of constructibility issues unique to concrete. The designer is faced with almost unlimited feasible combinations of dimensions and reinforcement configurations for any given element or structure. Designing concrete structures can be viewed in terms of constraints. However, due to the diverse nature of the constraints, it is not clear that a constraint language with specific built-in procedures for handling classes of constraints will suffice to solve the problem.Three distinct approaches are implemented for (1) a simple ladder design problem in the interest of clarity and (2) for a more complex reinforced concrete beam design problem to insure an accurate evaluation of a practical problem. The approaches include exhaustive search, constraints in the constraint programming language TCON (Forbus and de Kleer, 1993) and symbolic constraints using the programming language Logistica TM(Brown, 1993).Exhaustive search is not an efficient method of designing reinforced concrete. TCON provides a straight forward means of representing the constraining relationships in concrete design but has very little utility for conveniently examining a wide range of feasible solutions and is not able to report constraints whose elements are partially known. Logistica TM offers a promising alternative to TCON for representing the concrete design problem and has the ability to conveniently represent the entire feasible solution space using inequalities.1.0 INTRODUCTIONConcrete used as an engineering material offers a great deal of flexibility to a potential owner, construction contractor and design engineer. This flexibility carries with it a burden of difficult design standardization and an increased awareness of constructibility issues unique to concrete. The designer is faced with almost unlimited feasible combinations of dimensions and reinforcement configurations for any given element or structure. These numerous solutions are constrained by but not limited to functionality such as minimum and maximum dimensions, span, structural system, and exposure. Constraints are also imposed by the construction process and include spacing of reinforcement, size of reinforcing bars and mesh, and formwork configurations. Designing concrete structures can be viewed in terms of constraints. However, due to the diverse nature of the constraints, it is not clear that a constraint language with specific built-in procedures for handling classes of constraints will suffice to solve the problem. In particular, there may be a need for dealing with diverse kinds of constraints to handle not only real numbers, strings and truth values, but also with vector spaces, complex numbers, and linear algebras. In addition one may need to tailor the deductive methods used to solve the constraintsin this particular civil engineering application in order to solve real problems.2.0CONSTRAINT METHODS INPARAMETRIC DESIGN Effective parametric design systems have a number of common features. These include (1)the ability to eliminate infeasible designs efficiently, (2) allowing the designer to present any combination of known parameters to the system, (3) providing the designer with a concise description of the feasible solution space, and (4) providing the means to quickly arrive at an optimum or near optimum solution with varying degrees of interaction with the designer. It is our assertion that constraint-based reasoning can provide the necessary functionality to meet the named features of effective parametric design systems.In this section, three approaches are implemented to design a simple ladder, without regard to the specifics of any particular design code, so as illustrate the relative merits. Thefirst approach uses Logistica TMprogramming language to carry out an exhaustive search and evaluation of designs for a ladder given multiple values for several inputs. The second approach uses a constraint language, TCON (Forbus and de Kleer, 1993). The third approach utilizesLogistica TMto specify and propagate constraints using symbolic equations.A ladder was selected for design for the sake of simplicity and clarity of explanation. The focus of this section is to compare and contrast three distinct approaches and not to become burdened by the details of a complex example.The implications for a more complex design problem entailing reinforced concrete designare explored in Section 3.0.Fig. 1 Definition of Ladder Parameters2.1 EXHAUSTIVE SEARCH USINGLOGISTICA TMThis section describes the use of Logistica TMand exhaustive search to establish the feasible solution space for a ladder design given multivalued inputs. One of the first steps in finding a solution to a design problem is to establish the feasible solution space. The following code determines the unknown parameters of a ladder for a pre-established set of inputs and determines feasibility as the last step. Every possible solution for the provided inputs is considered. Given an even moderate number of inputs it is clear that this approach will quickly encounter combinatorialdifficulties, particularly if a number of compound objects were considered as part of a larger design, and the parameters of the interacting elements were even slightly inter-dependent.The pitfalls of this approach can be addressed in part by "hardwiring" heuristics within the code to consider only the standard reasonable solutions for a single element to be considered. This is the approach of many engineering design systems in use currently, and it does not effectively address the last three features of an effective design system.The following code is one of several methods defined as part of the ladder constructor (make-ladder). The multi-valued nature of Logistica TM allows several functions or methods to be bound to a single variable. This single variable is the value returned by an object constructor like (make-ladder). Thus an "object" in Logistica TM is really nothing more than a variable bound to several methods. For the ladder, the arguments 'view and 'design are triggering messages for the defined methods. Sample Logistica TM Code for Exhaustive Search of Ladder Designs(define (all-designsheight width depth thicknessuser-weight material-strengthrung-spacing)(define required-width (* 0.10 height)) (define minimum-depth(* 0.10 height))(define required-thickness(/ (*user-weight height 40)(*15 material-strength(expt depth 2))))(define rung-count(floor (/ height rung-spacing)));; floor rounds to nearest lower integer (cond ((and(>= width required-width)(>= thicknessrequired-thickness)(>=depthminimum-depth))(list 'Ladder(set! feasible-designs(+ feasible-designs 1)) (list 'height height)(list 'width width)(list 'depth depth)(list 'thickness thickness)(list 'rung-countrung-count)(list 'rung-spacingrung-spacing)))(else (list '*FAILED*(list 'height height)(list 'width width)(list 'depth depth))))) Example Session with Logistica TM Program>(define lad (make-ladder))LAD> (lad 'view)LADDER DESIGN INPUT VALUES...Height (feet) = (50)Width (feet) = (5 6)Thickness (inches) = (2.0 2.5)Depth (inches) = (3 4 5)Rung-Spacing (inches) = 1User weight (lbs) = 100Material strength (psi) = 1000Potential Designs = 12> (lad 'design)(*FAILED*(HEIGHT 50) (WIDTH 5) (DEPTH 3))(*FAILED*(HEIGHT 50) (WIDTH 6) (DEPTH 3)) (*FAILED*(HEIGHT 50) (WIDTH 5) (DEPTH 4)) (*FAILED*(HEIGHT 50) (WIDTH 6) (DEPTH 4)) (*FAILED*(HEIGHT 50) (WIDTH 5) (DEPTH 3)) (*FAILED*(HEIGHT 50) (WIDTH 6) (DEPTH 3)) (LADDER 1(HEIGHT 50) (WIDTH 5)(DEPTH 5) (THICKNESS 2.0) (RUNG-COUNT 50)(RUNG-SPACING 1))(LADDER 2(HEIGHT 50) (WIDTH 6)(DEPTH 5) (THICKNESS 2.0) (RUNG-COUNT 50)(RUNG-SPACING 1))(*FAILED*(HEIGHT 50) (WIDTH 5) (DEPTH 4)) (*FAILED*(HEIGHT 50) (WIDTH 6) (DEPTH 4)) (LADDER 3(HEIGHT 50) (WIDTH 5)(DEPTH 5) (THICKNESS 2.5) (RUNG-COUNT 50)(RUNG-SPACING 1))(LADDER 4(HEIGHT 50) (WIDTH 6)(DEPTH 5) (THICKNESS 2.5) (RUNG-COUNT 50)(RUNG-SPACING 1))The output indicates that of twelve potential designs, four are feasible. This conclusion is only possible after checking every possible combination of inputs.2.2 CONSTRAINTS EXPRESSED INTCONIn this section an example of a ladder design is modeled using TCON, a simple instance of a class of programming languages termed antecedent constraint languages. (Forbus and de Kleer,1993)TCON enables the concise definition of all of the relationships between variables in any given expression, thus providing the means of solving for any combinations of unknown variables in terms of the known variables. The need for such a capability is illustrated as follows.Consider the equation z = x + y. This can be represented procedurally, in Lisp by(setq z (+ x y))interpreted as "find the value of the symbol x and the value of the symbol y, add them, and store the result as the value of the symbol z." This represents only one of the three possible interpretations of the expression. Given z and y we may want to find x, or, given x and z we may need to determine y. The remaining relationships could be explicitly established by using additional "setq" equations, but this would become burdensome for all but the most trivial problems. (Forbus and de Kleer, 1993) An example of a primitive TCON adder constraint follows.(constraint adder((a1 cell) (a2 cell) (sum cell)) (formulae (sum (a1 a2) (+ a1 a2))(a1 (sum a2) (- sum a2))(a2 (sum a1) (- sum a1))))Other primitive constraints for operations such as subtraction, multiplication, division and exponents follow a similar format. From these primitive constraints, a more complex network can be specified until the requirements of the design system have been met. The top level constraint for the design of a ladder follows.(constraint ladder((height cell)(width cell)(depth cell)(thickness cell)(user-weight cell)(material-strength cell)(rungs cell) (rung-count cell)(rung-spacing cell)(3-mult-a 3-multiplier)(3-mult-b 3-multiplier)(mult-a multiplier)(div-a divider) (exp-a exponent)(div-b divider)(c1 cell)(c2 cell)(c3 cell)(c4 cell))(constant (>> c1) 0.10)(constant (>> c2) 40.0)(constant (>> c3) 15.0)(constant (>> c4) 2.0)(== (>> m1 mult-a) (>> c1))(== (>> m2 mult-a) (>> height))(== (>> width) (>>productmult-a))(== (>> depth) (>> width))(== (>> m1 3-mult-a)(>> user-weight))(== (>> m2 3-mult-a)(>> height))(== (>> m3 3-mult-a) (>> c2))(== (>> base exp-a) (>> depth))(== (>> power exp-a) (>> c4))(== (>> m1 3-mult-b) (>> c3)) (== (>> m2 3-mult-b)(>> material-strength))(== (>> m3 3-mult-b)(>> result exp-a))(==(>> numer div-a)(>> product 3-mult-a))(== (>> denom div-a)(>> product 3-mult-b))(== (>> thickness)(>> result div-a))(== (>> numer div-b)(>> height))(== (>> denom div-b)(>> rung-spacing))(== (>> rungs) (>> result div-b))A demonstration of the ladder constraint in a Lisp-based TCON environment follows.Instantiate a ladder constraint "lad" using the ladder prototype? (create 'lad 'ladder)<Constraint LAD>Display the values of the "lad" constraint? (constraint-values (>> lad))(>> C4 LAD) = 2.0.(>> C3 LAD) = 15.0.(>> C2 LAD) = 40.0.(>> C1 LAD) = 0.1.(>> RUNG-SPACING LAD)is unknown.(>> RUNG-COUNT LAD) is unknown.(>> RUNGS LAD) is unknown.(>> MATERIAL-STRENGTH LAD)is unknown.(>> USER-WEIGHT LAD) is unknown.(>> THICKNESS LAD) is unknown.(>> DEPTH LAD) is unknown.(>> WIDTH LAD) is unknown.(>> HEIGHT LAD) is unknown.Fig. 2 TCON Ladder ConstraintsSet the values for some of the parameters of "lad"? (set-parameter(>> rung-spacing lad) 1)? (set-parameter(>> material-strength lad) 1000) ? (set-parameter(>> user-weight lad) 100)? (set-parameter (>> height lad) 100) view the current values for "lad"? (constraint-values (>> lad))(>> C4 LAD) = 2.0.(>> C3 LAD) = 15.0.(>> C2 LAD) = 40.0.(>> C1 LAD) = 0.1.(>> RUNG-SPACING LAD) = 1.(>> RUNG-COUNT LAD) = 100.(>> RUNGS LAD) = 100.(>> MATERIAL-STRENGTH LAD) = 1000.(>> USER-WEIGHT LAD) = 100.(>> THICKNESS LAD) = 0.26667 (>> DEPTH LAD) = 10.0.(>> WIDTH LAD) = 10.0.(>> HEIGHT LAD) = 100.alter the value of depth of "lad"? (forget-parameter (>> height lad))All values set by the user must be reliquished by the user to permit subsequent propagation in the network? (set-parameter (>> depth lad) 5)display the new values for "lad"? (constraint-values (>> lad))(>> C4 LAD) = 2.0.(>> C3 LAD) = 15.0.(>> C2 LAD) = 40.0.(>> C1 LAD) = 0.1.(>> RUNG-SPACING LAD) = 1.(>> RUNG-COUNT LAD) = 50.0.(>> RUNGS LAD) = 50.0.(>> MATERIAL-STRENGTH LAD)= 1000.(>> USER-WEIGHT LAD) = 100.(>> THICKNESS LAD) = 0.5333.(>> DEPTH LAD) = 5.(>> WIDTH LAD) = 5.(>> HEIGHT LAD) = 50.0.TCON as applied to the ladder design example allows the designer to present any combination of known parameters to the system which is the second of the four features of an effective design system. Left with no enhancements, TCON does a poor job in fulfilling the remaining three requirements introduced in section 2.0. Specifically, TCON has the following deficiencies.(1) The set of feasible solutions is not obvious, leaving the user to "hunt and peck" amidst the potential solutions and possible contradictions.(2) The constraints can become quite cumbersome to construct, and are far from friendly to the anyone but the authors. Extensive commenting would help.(3) TCON has some built-in facilities to assist the user in establishing justification for values and paths through a network, but these are minimal in our opinion. The painful process of correcting a design when a failure or inconsistency occurs hampers the investigation of very many alternatives. Inconsistencies should be reported but not cause the system to enter a "debug" mode. Augmenting TCON with an Assumption-Based Truth-Maintenance System or ATMS (Forbus and de Kleer, 1993) would improve its performance in this regard, but would still not entirely address the issue. 2.3 CONSTRAINTS EXPRESSED INLOGISTICA TM An alternative approach to the tightly coupled constraints of TCON is the use of real algebra applied to a global database of symbolic constraints through pattern matching. In this section, this alternative is implemented and evaluated using the Logistica TM programming language for the ladder design problem. Logistica TM provides a powerful pattern matching capability which can be easily employed to solve symbolic equations. With this approach, constraints can be very concisely and clearly represented. As values are provided to the system, they are propagated throughout the database and all parameters are expressed as values or as simplified algebraic equations. This provides the user with additional information about the degree to which a solution has been specified if it has not been fully specified.The Logistica TM code for the ladder constraint follows.(define (make-ladder Initial-Values) (define Ladder-Specs(& (=width (* 0.10 height))(= depth width)(= rung-spacing (* 12 in))(= in 1/12)(= thickness(/ (* user-weightheight40)(* 15 material-strength(expt depth 2)))(= rung-count(floor (/ heightrung-spacing))))) (define KB (& Initial-ValuesLadder-Specs))(define (method 'KB) KB)(define (method 'assign ...a)(set! KB (do-action KB(& ...a Ladder-Specs)))) method)This ladder constraint is exercised in the following example session.Load the general algebraic and propagation axioms.> (load "ra-constraints.logic")#TLoad the specific constraints for the ladder.> (load "ladder-constraints.logic")#TInstantiate a ladder named "lad1" with height = 100.> (define lad1(make-ladder (= height 100)))LAD1 View the database for "lad1".> (lad1 'kb)(&(= HEIGHT 100) (= IN 1)(= RUNG-SPACING 12)(= WIDTH 10.0)(= DEPTH 10.0)(= THICKNESS 4/15 )(= RUNG-COUNT 100)(= USER-WEIGHT 100)(= MATERIAL-STRENGTH 1000)) Change the value of height to 30 for "lad1".> (lad1 'assign (= height 30))(& (= HEIGHT 30) (= IN 1)(= RUNG-SPACING 12)(= WIDTH 3.0)(= DEPTH 3.0) (= THICKNESS 8/9)(= RUNG-COUNT 30)(= USER-WEIGHT 100)(= MATERIAL-STRENGTH 1000))Change the value of depth to 5 for "lad1".> (lad1 'assign (= depth 5))(& (= HEIGHT 50) (= IN 1)(= RUNG-SPACING 12)(= WIDTH 5.0)(= DEPTH 5.0)(= THICKNESS 8/15 )(= RUNG-COUNT 50)(= USER-WEIGHT 100)(= MATERIAL-STRENGTH 1000))Change the value of rung-count for "lad1".> (lad1 'assign (= rung-count 15))(& (= HEIGHT 15) (= IN 1)(= RUNG-SPACING 12)(= WIDTH 1.5)(= DEPTH 1.5)(= THICKNESS 1.77)(= RUNG-COUNT 15)(= USER-WEIGHT 100)(= MATERIAL-STRENGTH 1000))Instantiate a new ladder "new-lad" with no initial values. This allows user to easily view the constraining relationships.> (define new-lad (make-ladder ())) NEW-LADDisplay the resulting empty database.> (new-lad 'kb)(& (= WIDTH (* 0.10 HEIGHT))(= DEPTH WIDTH)(= RUNG-SPACING (* 12 IN))(= THICKNESS(/ (* USER-WEIGHT HEIGHT 40) (* 15MATERIAL-STRENGTH(EXPT DEPTH 2))))(= RUNG-COUNT(FLOOR (/ HEIGHTRUNG-SPACING)))) The ladder problem is specified using a fraction of the code required for the TCON implementation, and the constraints are much easier to understand. When a constraint cannot provide a value, it is expressed in its original form with all known parameters replaced by their respective values. An example of this follows.> (new-lad 'assign (= in 1)(= user-weight 100)(= material-strength 50))> (new-lad 'kb)(& (= WIDTH (* 0.10 HEIGHT))(= DEPTH (* 0.10 HEIGHT))(= RUNG-SPACING 12)(= THICKNESS (/ (* 4000 HEIGHT))(* 750 (EXPT DEPTH 2))))(= RUNG-COUNT(FLOOR(/ HEIGHT 12))))This is in contrast to TCON, which only indicates "unknown" if insufficient information is available for the constraint. It is often necessary to use functions that are not defined by the axioms of real algebra when solving an engineering design problem. The function “floor” in this example is a case in point. Functions of this type are defined by providing symbolic equations for all combinations of the respective arguments.The pattern directed inference system used by Logistica TM to solve the symbolic equations in a global database is potentially inefficient for large problems, and does not currently provide a means of tracking dependency. The ability to track dependency can be added with some penalty in efficiency, but when coupled with a subsystem to direct propagation of the most constraining parameters first, significant improvement in performance could be expected.3.0 CONSTRAINT METHODS APPLIEDTO CONCRETE DESIGNEach of three approaches described in Section 2.0 were also applied to a more complex problem, a singly reinforced rectangular concrete beam. This was done to confirm the evaluations for a problem actually encountered in practice, and to uncover additional problems. Excerpts from the program code and example sessions will not be presented in the interest of space.3.1 EXHAUSTIVE SEARCH USINGLOGISTICA TMThe problem of combinatorial explosion becomes very important even for a beam treated apart from a larger system. It is not unusual for there to be 3000 to 4000 feasible solutions for a very simple concrete beam. Given a single beam that included other parameters such as longitudinal reinforcing on all faces, and shear reinforcing in the transverse direction, the number of feasible solutions could easily reach several million or more. Simple heuristics could be applied to produce a smaller "probable" solution space, but most of the combinations would still need to be considered. Even with the most thoughtful heuristics, when a structural system consisting of a number of beams is considered, the solution space becomes intractable. Exhaustive search does not lend itself well to any general approach for reinforced concrete design.Fig. 3 Singly Reinforced Concrete Beam 3.2 CONSTRAINTS EXPRESSED INTCONA constraint model of a singly reinforced concrete beam was implemented in TCON. The environment allows the user to quickly adjust values for a given beam to determine the net effect on the remaining values. The problem of lengthy code that surfaced in the ladder design problem became a serious difficulty in the concrete beam design example. Some extensions mentioned by Forbus and de Kleer could be implemented to reduce the volume of code required. With some additional work, a collection of connection constraints could be written and several of the "rc-beam" constraints could be tied together to solve a more complicated problem. The real value of this code will be most easily established with at least one connection, where two beams are subjected to different bending moments and other limitations.This concrete design problem has a number of cycles that must be programmed around in the absence of a more sophisticated truth maintenance system. Forbus and de Kleer offer suggestions for ways the TCON interpreter can be extended and provide the code for an ATMS extension (Forbus and de Kleer, 1993). It may be constructive to implement some of the suggested extensions for a more thorough comparison to methods using Logistica TM.3.3CONSTRAINTS EXPRESSED INLOGISTICA TMA constraint model of a singly reinforced concrete beam was implemented in Logistica TM. The language permits a concise representation of the constraints as was was the case in the ladder design example. It was necessary to define several functions symbolically, including "ceiling", "floor", "min", and "max". Manipulations of the database proceeded without problem with the functions so defined. The cycles in the design process that required extra care in TCON did not require the extra effort in Logistica TM. Given a problem with at least the same level of complexity as the concrete beam, 80-100 parameter instances distributed amoung 12 parameter classes, it becomes important to be able to concisely define the entire feasible solution space. Inequalities are a powerful means of describing the acceptable ranges of parameters, and should be added to the Logistica TM constraint model. The task of determining the degree of constraint provided by a parameter also becomes much easier given the ability to propagate inequalities in the database.4.0CONCLUSIONS AND FUTUREWORKExhaustive search is not an efficient method ofdesigning reinforced concrete. TCON provides a straight forward means of representing the constraining relationships in concrete design but has very little utility for conveniently examining a wide range of feasible solutions and is not able to report constraints whose elements are partially known. Logistica TM offers a promising alternative to TCON for representing the concrete design problem and has the ability to conveniently represent the entire feasible solution space using inequalities.Additional work is necessary to insure a fair comparison between TCON or a TCON-like system and the use of symbolic constraints in Logistica TM. Specifically, TCON should be extended to use an ATMS (Forbus and de Kleer, 1993) and be equipped with a sharing structure to reduce the amount of code necessary to specify the constraints. The use of symbolic equations and inequalities should also be considered for TCON. The Logistica TM constraint system should be augmented to (1) allow connection of several compound design objects, (2) permit dependency tracking, and (3) enable propagation of the most constraining parameters early in the process. Other constraint environments including Prolog III, CHIP, and Screamer will also be investigated as alternatives for the concrete design problem. ACKNOWLEDGEMENTSThis work has been supported by the National Science Foundation under NSF Grant CDA-9401021, the Center for Excellence in Computer-Aided Systems Engineering at the University of Kansas, and the Graduate Research Fund at the University of Kansas. Travel assistance was provided by the Office of Research Support and Grant Administration at the University of Kansas.REFERENCESAbelson, H. and Sussman, G.J., Structure and Interpretation of Computer Programs, MIT Press, Cambridge, MA, 1985.Brown, Frank M., et. al., Logistica TM 1.0 Programmer's Manual, Artificial Intelligence Research, Inc., Lawrence, KS, 1992.Brown, Frank M., et. al., Logistica TM 1.0 Reference Manual, Artificial Intelligence Research, Inc., Lawrence, KS, 1992.Cohen, J., Constraint Logic Programming Languages, Communications of the ACM33(7):52-68, 1992.Forbus, Kenneth D. and de Kleer, Johan, Building Problem Solvers, MIT Press, Cambridge, Massachusetts, 1993. Siskind, J.M. and McAllester, D. A., Screamer 3.4 - A Portable Efficient Implementation of Nondeterministic Common Lisp, Massachusets Institute of Technology, Cambridge, MA, 1991.Van Hentenryck, Pascal, Constraint Satisfaction in Logic Programming, MIT Press, Cambridge, MA, 1989.。

英语词汇学期末考试题库

英语词汇学期末考试题库

英语词汇学试题Introduction and Chapter 1Basic Concepts of Words and Vocabula ry(练习1)I.Each of the statements below is followed by four alternative answers. Choose the one that would best complete the statement.1.Morphology is the branch of grammar which studies the structure or forms of words, primarily through theuse of _________construct.A. wordB. formC. morphemeD. root2.________ is traditionally used for the study of the origins and history of the form and meaning of words.A. SemanticsB. LinguisticsC. EtymologyD. Stylistics3.Modern English is derived from the language of early ______ tribes.A. GreekB. RomanC. ItalianD. Germanic4. Semantics is the study of meaning of different _________ levels: lexis, syntax, utterance, discourse, etc.A. linguisticB. grammaticalC. arbitraryD. semantic5.Stylistics is the study of style . It is concerned with the user’s choices of linguistic elements in a particular________ for special effectsA. situationB. contextC. timeD. place6.Lexicography shares with lexicology the same problems: the form , meaning, origins and usages of words, but they have a _______ difference.A . spelling B. semantic C. pronunciation D. pragmatic7. Terminology consists of _______ terms used in particular disciplines and academic areas.A. technicalB. artisticC. differentD. academic8. __________refers to the specialized vocabularies by which members of particular arts, sciences, trades, and professions communicate among themselves.A. SlangB. JargonC. Dialectal wordsD. Argot9 ._________ belongs to the sub-standard language, a category that seems to stand between the standard general words including informal ones available to everyone and in-group words.A. JargonB. ArgotC. Dialectal wordsD. Slang10. Argot generally refers to the jargon of _______.Its use is confined to the sub-cultural groups and outsiders can hardly understand it.A. workersB. criminalsC. any personD. policeman11.________ are words used only by speakers of the dialect in question.A. ArgotB. SlangC. JargonD. Dialectal words12. Archaisms are words or forms that were once in _________use but are now restricted only to specialized or limited use.A. commonB. littleC. slightD. great13. Neologisms are newly-created words or expressions, or words that have taken on ______meanings.A. newB. oldC. badD. good14. Content words denote clear notions and thus are known as_________ words. They include nouns, verbs, adjectives, adverbs and numerals.A. functionalB. notionalC. emptyD. formal15. Functional words do not have notions of their own. Therefore, they are also called _______words. Prepositions, conjunctions, auxiliaries and articles belong to this category.A. contentB. notionalC. emptyD. newII. Complete the following statements with proper words or expressions according to the course book.16.Lexicology is a branch of linguistics, inquiring into the origins and _____of words.17.English lexicology aims at investigating and studying the ______ structures of English words and word equivalents, their semantics, relations, _____development, formation and ______.18.English lexicology embraces other academic disciplines, such as morphology, ______,etymology, stylistics,________.19.There are generally two approaches to the study of words , namely synchronic and _______.nguage study involves the study of speech sounds, grammar and_______.III. Match the words or expressions in Column A with those in Column B according to 1) basic word stock and nonbasic vocabulary 2) content words and functional words 3) native words and borrowed words4)characteristics of the basic word stock.A B21 . Stability ( ) A. E-mail22. Collocbility( ) B. aught23. Jargon( ) C. por24. Argot ( ) D. upon25.Notional words( ) E. hypo26. Neologisms ( ) F. at heart27. Aliens ( ) G. man28. Semantic-loans( ) H. dip29. Archaisms ( ) I. fresh30. Empty words ( ) J. emirIV. Study the following words or expressions and identify 1) characteristics of the basic word stock 2) types of nonbasic vocabulary.31. dog cheap ( ) 32 a change of heart ( )33. can-opener ( ) 34.Roger ( )35. bottom line ( ) 36.penicillin ( )37. auld ( ) 38. futurology ( )39.brethren ( ) 40. take ( )V. Define the following terms.41. word 42. Denizens 43. Aliens 44. Translation-loans 45. Semantic-loansVI. Answer the following Questions46.Illustrate the relationship between sound and meaning, sound and form with examples.47. What are the main characteristics of the basic word-stock? Illustrate your points with examples.48. Give the types of nonbasic vocabulary with examples.VII. Analyze and comment on the following.49. Classify the following words and point out the types of words according to notion.earth, cloud, run, walk, on, of, upon, be, frequently , the, five, but, a , never.50. Group the following borrowed words into Denizens, Aliens, Translation-loans, Semantic-loans.Dream, pioneer, kowtow, bazaar, lama, master-piece, port, shirtKey to Exercises:I. 1. A2.C3.D4.A5.B6.D7.A8.B9.D10.B11.D12.A13.A14.B15.CII.16.meanings17.morphological, historical, usages 18. semantics, lexicography19.diachronic20.vocabularyIII.21. G 22. F23. E24. H25. C26. A27. J28.I29.B30.DIV.31. the basic word stock; productivity32. the basic word stock; collocability33.the basic word stock; argot34.nonbasic word stock; slang35. nonbasic word stock; jargon36. nonbasic word stock ;terminology37.nonbasic word stock; dialectal words38. nonbasic word stock ,neologisms39. nonbasic word stock; archaisms40. the basic word stock; polysemyV-----VI. (see the course book)VII. 49. Content words: earth, cloud, run, walk, frequently, never, fiveFunctional words: on, of, upon, be, the, but, a.50. Denizens: port, shirt,Aliens: bazaar, kowtowTranslation-loans: lama, masterpieceSemantic-loans:dream, pioneerChapter 2 The Development of the English Vocabulary and Chapter 3 Word Formation I(练习2)I. Each of the statements below is followed by four alternative answers. Choose the one that would best complete the statement.1.It is assumed that the world has approximately 3,000( some put it 5,000)languages, which can be groupedinto the basis of similarities in their basic word stock and grammar.A. 500B. 4000C. 300D. 20002.The prehistoric Indo-European parent language is thought to be a highly ______language.A. inflectedB. derivedC. developedD. analyzed3.After the _________, the Germanic tribes called Angles ,Saxons, and Jutes came in great numbers.A. GreeksB. IndiansC. RomansD. French4.The introduction of ________had a great impact on the English vocabulary.A. HinduismB. ChristianityC. BuddhismD. Islamism5.In the 9th century the land was invaded again by Norwegian and Danish Vikings. With the invaders, many________words came into the English language.A. GreekB. RomanC. CelticD. Scandinavian6.It is estimated that at least ______ words of Scandinavian origin have survived in modern English.A. 500B. 800C. 1000 .D. 9007.The Normans invaded England from France in 1066. The Norman Conquest started a continual flow of______ words into English.A. FrenchB. GreekC. RomanD. Latin8.By the end of the _______century , English gradually came back into the schools, the law courts, andgovernment and regained social status.A. 12thB. 13thC. 14thD.15th9.As a result , Celtic made only a ________contribution to the English vocabulary.A. smallB. bigC. greatD. smaller10. The Balto-Slavic comprises such modern languages as Prussian, Lithuanian, Polish, Czech, Bulgarian, Slovenian and _______.A. GreekB. RomanC. IndianD. Russian11.In the Indo-Iranian we have Persian , Bengali, Hindi, Romany, the last three of which are derived from thedead language.A. SanskritB. LatinC. RomanD. Greek12.Greek is the modern language derived from _______.A. LatinB. HellenicC. Indian D . Germanic13.The five Roamance languages , namely, Portuguese, Spanish, French, Italian, Romanian all belong to theItalic through an intermediate language called _______.A. SanskritB. LatinC. CelticD. Anglo-Saxon14.The ________family consists of the four Northern European Languages: Norwegian, Icelandic, Danishand Swedish, which are generally known as Scandinavian languages.A. GermanicB. Indo-EuropeanC. AlbanianD. Hellenic15.By the end of the _______century , virtually all of the people who held political or social power and manyof those in powerful Church positions were of Norman French origin.A. 10thB.11thC.12thD. 13thII. Complete the following statements with proper words or expressions according to the course book.16.Now people generally refer to Anglo-Saxon as _______.17.. If we say that Old English was a language of full endings , Middle English was one of ______.18.It can be concluded that English has evoked from a synthetic language (Old English) to the present _____language.19.The surviving languages accordingly fall into eight principal groups , which can be grouped into anEastern set: Balto-Slavic , Indo-Iranian ,Armenian and Albanian; a Western set :Celtic, Italic, Hellenic, _______.20.It is necessary to subdivide Modern English into Early (1500-1700)and _____ Modern English.III. Match the words or expressions in Column A with those in Column B according to 1) origin of the words2)history off English development 3) language family.A B21. Celtic ( ) A.politics22. religious ( ) B.moon23.Scandinavian ( ) C. Persian24. French ( ) D.London25. Old English ( ) E. abbot26.Dutch ( ) F. skirt27.Middle English ( ) G. sunu28. Modern English ( ) H. lernen29. Germanic family ( ) I. freight30.Sanskrit ( ) J. NorwegianIV.Study the following words or expressions and identify types of morphemes underlined.31. earth ( ) 32.contradict ( )33. predictor ( ) 34. radios ( )35. prewar ( ) 36. happiest ( )37. antecedent ( ) 38. northward ( )38. sun ( ) 40. diction ( )V. Define the following terms.41. free morphemes 42. bound morphemes 43. root 44. stem 45.affixesVI. Answer the following questions. Your answers should be clear and short.46. Describe the characteristics of Old English .47. Describe the characteristics of Middle English.48. Describe the characteristics of Modern English.VII. Answer the following questions with examples.49. What are the three main sources of new words ?50. How does the modern English vocabulary develop ?Key to exercises:I. 1.C 2.A 3.C 4.B 5.D 6.D 7.A 8.B 9.A 10.D 11.A 12.B 13.B 14.A 15.BII.16.Old English 17. Leveled endings 18. analytic 19. Germanic te(1700-up to the present )III.21. D 22. E 23. F 24. A 25. G 26. I 27. H 28. B 29. J 30. CIV.31. free morpheme/ free root 32. bound root 33. suffix 34. inflectional affix35. prefix 36. Inflectional affix 37. prefix 38. suffix 39. free morpheme/free root40.bound rootV.-VI ( See the course book )VII. 49. The three main sources of new words are :(1)The rapid development of modern science and technology ,e.g. astrobiology, green revolution ;(2)Social , economic and political changes; e.g. Watergate, soy milk;(3)The influence of other cultures and language; e.g. felafel, Nehru Jackets.50. Modern English vocabulary develops through three channels: (1) creation, e.g. consideration, carefulness; (2) semantic change, e.g. Polysemy, homonymy ; (3) borrowing ;e.g. tofu, gongful.Chapter 3 The Development of the English V ocabulary and Chapter 4 Word Formation II(练习3)I.Each of the statements below is followed by four alternative answers. Choose the one that would best complete the statement.1.The prefixes in the words of ir resistible, non classical and a political are called _______.A.reversative prefixesB. negative prefixesC. pejorative prefixesD. locative prefixes2.The prefixes contained in the following words are called ______: pseudo-friend, mal practice, mis trust.A. reversative prefixedB. negative prefixesC. pejorative prefixesD. locative prefixes3.The prefixed contained in un wrap, de-compose and dis allow are _________.A. reversative prefixedB. negative prefixesC. pejorative prefixesD. locative prefixes4.The prefixes in words extra-strong, overweight and arch bishop are _____ .A . negative prefixes B. prefixes of degree or size C. pejorative prefixes D. locative prefixes5.The prefixes in words bi lingual ,uni form and hemis phere are ________.A. number prefixesB. prefixes of degree or sizeC. pejorative prefixesD. locative prefixes6.________ are contained in words trans-world, intra-party and fore head.A.Prefixes of orientation and attitudeB. Prefixes of time and orderC. Locative prefixesD. Prefixes of degree or size7. Rugby ,afghan and champagne are words coming from ________.s of booksB. names of placesC. names of peopleD. tradenames8. Omega,Xerox and orlon are words from _________.s of booksB. names of placesC. names of peopleD. tradenames9.Ex-student, fore tell and post-election contain________.A.negative prefixesB. prefixes of degree or sizeC. prefixes of time and orderD. locative prefixes10.Mackintosh, bloomers and cherub are from _______A. names of booksB. names of placesC. names of peopleD. tradenames11.The prefixes in words new-Nazi, autobiography and pan-European are ________.A.negative prefixesB. prefixes of degree or sizeC. prefixes of time and orderD. miscellaneous prefixes12.The prefixes in words anti-government , pro student and contra flow are _____-.A.prefixes of degree or sizeB. prefixes of orientation and attitudeC. prefixes of time and orderD. miscellaneous prefixes13.Utopia ,odyssey and Babbit are words from ________.s of booksB. names of placesC. names of peopleD. tradenames14.The suffixes in words clockwise, homewards are ______.A. noun suffixesB. verb suffixesC. adverb suffixesD. adjective suffixes15.The suffixes in words height en, symbol ize are ________.A. noun suffixesB. verb suffixesC. adverb suffixesD. adjective suffixesII. Complete the following statements with proper words or expressions according to the course book.16. Affixation is generally defined as the formation of words by adding word-forming or derivational affixes to stem. This process is also known as_____.pounding , also called ________, is the formation of new words by joining two or more stems . Words formed in this way are called _________.18. __________ is the formation of new words by converting words of one class to another class.19. _________ is the formation of new words by combining parts of two words or a word plus a part of another word . Words formed in this way are called blends or _____words.20 A common way of making a word is to shorten a longer word by cutting a part off the original and using what remains instead. This is called _______.III. Match the words or expressions in Column A with those in Column B according to types of suffixation.A B21. Concrete denominal noun suffixes( ) A. priceless22. Abstract denominal noun suffixes ( ) B. downward23. Deverbal noun suffixes(denoting people.)() C. engineer24. Deverbal nouns suffixes( denoting action,etc) () D. darken25. De-adjective noun suffixes()Eviolinist26. Noun and adjective suffixes ( ) F.happiness27. Denominal adjective suffixes ( ) G. arguable28. Deverbal adjective suffixes ( ) H.dependent29. Adverb suffixes ( ) I. adulthood30. Verb suffixes ( ) J. survivalIV.Study the following words or expressions and identify 1) types of clipping 2) types of acronymy and write the full terms.31.quake ( ) 32. stereo ( ) 33. flu ( ) 34. pub ( ) 35. c/o ( )36. V-day ( ) 37. TB ( ) 38. disco ( ) 39.copter ( ) 40. perm ( )V.Define the following terms .41. acronymy 42. back-formation 43. initialisms 44. prefixation 45. suffixationVI. Answer the following questions with examples.46. What are the characteristics of compounds ?47. What are the main types of blendings ?48. What are the main types of compounds ?VII. Analyze and comment on the following:49. Use the following examples to explain the types of back-formation.(1) donate ----donation emote----emotion(2) loaf—loafer beg------beggar(3) eavesdrop---eavesdropping babysit---babysitter(4) drowse—drowsy laze---lazy50. Read the following sentence and identify the types of conversion of the italicized words.(1) I’m very grateful for your help. (2) The rich must help the poor.(3)His argument contains too many ifs and buts. (4) They are better housed and clothed.(5) The photograph yellowed with age. (6) We downed a few beers.Key to exercises :1. B2. C3. A4. B5. A6.C7.B8.D9.C 10.C 11.D 12.B 13.A 14.C 15.BII. 16. derivation position, compounds 18. Conversion 19. Blending(pormanteau) 20.clippingIII. 21.C 22. I 23. H 24. J 25.F 26.E 27.A 28.G 29.B 30.DIV.31. Front clipping, earthquake32. Back clipping, stereophonic33.Front and back clipping, influenza34.Phrase clipping, public house35. Initialisms, care of36. Acronyms, Victory Day37. Initialisms, tuberculosis38. Back clipping, discotheque39. Front clipping, helicopter40. Phrase clipping, permanent wavesV-VI. (See the course book)VII.49. There are mainly four types of back-formation.(1)From abstract nouns (2) From human nouns (3) From compound nouns and others(4) From adjectives50. (1)Verb to noun (2) Adjective to noun (3) Miscellaneous conversion to noun(4 ) Noun to verb (5) Adjective (6) Miscellaneous conversion to verbChapter 5 Word Meaning (练习4)I. Each of the statements below is followed by four alternative answers. Choose the one that would best complete the statement.1. A word is the combination of form and ________.A. spellingB. writingC. meaningD. denoting2._______is the result of human cognition, reflecting the objective world in the human mind.A. ReferenceB. ConceptC. SenseD. Context3.Sense denotes the relationships _______the language.A. outsideB. withC. beyondD. inside4. Most English words can be said to be ________.A. non-motivatedB. motivatedC. connectedD. related5.Trumpet is a(n) _______motivated word.A. morphologicallyB. semanticallyC. onomatopoeicallyD. etymologically6.Hopeless is a ______motivated word.A. morphologicallyB. onomatopoeicallyC. semanticallyD. etymologically7.In the sentence ‘ He is fond of pen ’ , pen is a ______ motivated word.A. morphologicallyB. onomatopoeicallyC. semanticallyD. etymologically8.Walkman is a _______motivated word.A. onomatopoeicallyB. morphologicallyC. semanticallyD. etymologically9.Functional words possess strong _____ whereas content words have both meanings, and lexical meaning inparticular.A. grammatical meaningB. conceptual meaningC. associative meaningD. arbitrary meaning10._______is unstable, varying considerably according to culture, historical period, and the experience of the individual.A.Stylistic meaningB. Connotative meaningC. Collocative meaningD. Affective meaning11.Affective meaning indicates the speaker’s _______towards the person or thing in question.A. feeling .B. likingC. attitudeD. understanding12. _________ are affective words as they are expressions of emotions such as oh, dear me, alas.A. PrepositionsB. InterjectionsC. ExclamationsD. Explanations13. It is noticeable that _______overlaps with stylistic and affective meanings because in a sense both stylistic and affective meanings are revealed by means of collocations.A.conceptual meaningB. grammatical meaningC. lexical meaningD. collocative meaning14.In the same language, the same concept can be expressed in ______.A. only one wordB. two wordsC. more than threeD. different words15.Reference is the relationship between language and the ______.A. speakersB. listenersC. worldD. specific countryII. Complete the following statements with proper words or expressions according to the course book.16.In modern English one may find some words whose sounds suggest their ______pounds and derived words are ______ words and the meanings of many are the sum total of themorphemes combined.18._______ refers to the mental associations suggested by the conceptual meaning of a word.19.The meanings of many words often relate directly to their ______. In other words the history of the wordexplains the meaning of the word.20.Lexical meaning itself has two components : conceptual meaning and _________.III. Match the words or expressions in Column A with those in Column B according to 1) types of motivation 2) types of meaning.A B21. Onomotopooeic motivation ( ) A. tremble with fear22. Collocative meaning ( ) B. skinny23. Morphological motivation ( ) C. slender24. Connotative meaning ( ) D. hiss25. Semantic motivation ( ) E. laconic26. Stylistic meaning ( ) F. sun (a heavenly body)27. Etymological motivation ( ) G.airmail28. Pejorative meaning ( ) H. home29. Conceptual meaning ( ) I. horse and plug30. Appreciative meaning ( ) J. pen and awordIV.Study the following words or expressions and identify 1)types of motivation 2) types of meaning.31. neigh ( ) 32. the mouth of the river ( )33. reading-lamp ( ) 34. tantalus ( )35. warm home ( ) 36. the cops ( )37. dear me ( ) 38. pigheaded ( )39. handsome boy ( ) 40. diligence ( )V.Define the following terms .41. motivation 42. grammatical meanings 43. conceptual meaning 44. associative meaning 45. affective meaningVI.Answer the following questions . Your answers should be clear and short.46. What is reference ? 47. What is concept ? 48. What is sense ?VII.Analyze and comment on the following.49. Study the following words and explain to which type of motivation they belong.50. Explain the types of associative meaning with examples.Key to exercises:I. 1. C 2.B 3.D 4.A 5.C 6.A 7.C 8.D 9.A 10.B 11.C 12.B 13.D 14.D 15.CII.16. meanings 17.multi-morphemic 18.Semantic motivation 19.origins 20.associative meaningIII.21. D 22.A 23.G 24.H 25.J 26.I 27.E 28.B 29.F 30.CIV.31. Onomatopoeic motivation 32. Semantic motivation33. Morphological motivation 34. Etymological motivation35. Connotative meaning 36.Stylistic meaning37. Affective meaning 38. pejorative39. collocative meaning 40. appreciativeV-VI. See the course book.VIII.49. (1) Roar and buzz belong to onomatopoeic motivation.(2)Miniskirt and hopeless belong to morphological motivation.(3) The leg of a table and the neck of a bottle belong to semantic motivation.(4) Titanic and panic belong to etymological motivation.50. Associative meaning comprises four types:(1)Connotative meaning . It refers to the overtones or associations suggested by the conceptual meaning,traditionally known as connotations. It is not an essential part of the word-meaning, but associations that might occur in the mind of a particular user of the language. For example, mother , denoting a ‘female parent’, is often associated with ‘love’, ‘care’, etc..(2)Stylistic meaning. Apart feom their conceptual meanings, many words have stylistic features, whichmake them appropriate for different contexts. These distinctive features form the stylistic meanings of words . For example, pregnant, expecting, knockingup, in the club, etc., all can have the same conceptual meaning, but differ in their stylistic values.(3)Affective meaning. It indicates the speaker’s attitude towards the person or thing in question. Wordsthat have emotive values may fall into two categories :appreciative or pejorative. For example, famous, determined are words of positive overtones; notorious, pigheaded are of negative connotations implying disapproval, contempt or criticism.(4)Collocative meaning. It consists of the associations a word acquires in its collocation. In other words,it is that part of the word-meaning suggested by the words before or after the word in discussion. For example, we say : pretty girl, pretty garden; we don’t say pretty typewriter. But sometimes there is some overlap between the collocations of the two words.Chapter 6 Sense Relations and Semantic Field (练习5)I.Each of the statements below is followed by four alternative answers. Choose the one that would best complete the statement.1.Polysemy is a common feature peculiar to ______.A. English onlyB. Chinese onlyC. all natural languagesD. some natural languages2.From the ______ point of view, polysemy is assumed to be the result of growth and development of thesemantic structure of one and same word .A. linguisticB. diachronicC. synchronicD. traditional3._______ is a semantic process in which the primary meaning stands at the center and the secondarymeanings proceed out of it in every direction like rayes.A Radiation B. Concatenation C. Derivation D. Inflection4. _________ is the semantic process in which the meaning of a word moves gradually away from its first sense by successive shifts until, in many cases, there is not a sign of connection between the sense that is finally developed and that which the term had at the beginning.A. DerivationB. RadiationC. InflectionD. Concatenation5.One important criterion to differentiate homonyms from polysemants is to see their ______.A. spellingB. pronunciationC. etymologyD. usage6. ________refer to one of two or more words in the English language which have the same or very nearly the same essential meaning.A. PolysemantsB. SynonymsC. AntonymsD. Hyponyms7. The sense relation between the two words tulip and flower is _______.A. hyponymyB. synonymyC. polysemyD. antonymy8. _________ are words identical only in spelling but different in sound and meaning, e.g. bow/bau/; bow/beu/.A. HomophonesB. HomographsC. Perfect homonymsD. Antonyms9. The antonyms: male and female are ______.A. contradictory termsB. contrary termsC. relative termsD. connected terms10.The antonyms big and small are ______.A. contradictory termsB. contrary termsC. relative termsD. connected terms11.The antonyms husband and wife are ______.A. contradictory termsB. contrary termsC. relative termsD. connected termsposition and compounding in lexicology are words of _______.A. absolute synonymsB. relative synonymsC. relative antonymsD. contrary antonyms13.As homonyms are identical in sound or spelling, particularly ______, they are often employed in aconversation to create puns for desired effect of humor, sarcasm or ridicule.A. homographsB. homophonesC. absolute homonymsD. antonyms14.From the diachronic point of view, when the word was created, it was endowed with only one meaning .The first meaning is called ______.。

蝉花总多糖对细胞免疫和体液免疫反应的促进作用_何晓波

蝉花总多糖对细胞免疫和体液免疫反应的促进作用_何晓波

收稿日期:2010-02-07基金项目:浙江省中医药科技计划项目(2007CB186)作者简介:何晓波(1973-),男,浙江武义人,主管中药师,学士,研究方向:医院中药材的鉴别和应用。

通讯作者:陈峰阳(1983-),男,浙江磐安人,助理研究员,硕士,主要从事中药和天然药物成分的提取分离和活性筛选工作。

L1d i pocyte d ifferen ti ation t hough t he PP AR (ga mm a )pat hw ay [J].B i och e m ical and B i ophysical Researc h C o mm un i cati on s ,2006,348(2):571.[22] Rots h teyn Y,Zit o SW.App licati on ofm od ifi ed i n v itro screen -i ng procedu re for i d entif yi ng herbals pos sessi ng s u lf onyl urea-li ke acti v i ty[J].J E t hnoph ar m acol,2004,93:337-344.[23] Su CF ,Cheng J T,L i u I M .I n creas e of acetylc ho li ne rel ease byPan ax gi n s eng root enhan ces i n s u li n secreti on i n W istar rat s [J].Neu rosciLett ,2007,412:101-104.[24] LeeW K ,Kao ST ,L i u I M,et a.l I n creas e of i n s u li n secreti onby gi n senos i de Rh2to l ow er p l as m a glucose i n W istar rats [J].C li n Exp Phar m acol Phys i ol,2006,33:27-32.[25] Luo J Z ,Luo L .Am eri can ginseng sti m u lates i nsu li n producti onand preven ts apoptosis t h rough regulati on of un coup li ng protei n -2i n c u ltured bet a cell s[J].E vi d Based C o m ple m entA lternat M ed,2006,3:365-372.[26] Y i n J ,H u R,Ch en M ,et a.l E fects of berberi ne on gl ucosem etabolis m i n vitro[J].M et abo li s m,2002,51:1439-1443.[27] Ko BS,Cho iSB ,Park SK,et a.l Insu li n s en sitiz i ng and i nsul-inotrop i c acti on of berberi ne fro m corti d is rh iz o m a [J ].B i olPhar m Bul,l 2005,28:1431-1437.[28] W angH,Reaves LA,E dens NK ,et a.l G i nseng extract i nh i b -its lipol ysis i n rat ad i pocytes i n v itro by acti vati ng phos phodies -terase 4[J].J Nutr ,2006,136:337-342.[29] Y i n J ,G ao ZG,L i u D ,et a.l Berberi ne I m proves G l ucoseM e -tabolis m through Induction ofG l yco l ysis[J].Am J Physiol En -docri nolM etab ,2008,294:148-156.[30]宁光.脂肪炎症因子在2型糖尿病发病中的重要性[J].中华内分泌代谢杂志,2006,22(3):205-207.[31] Shoels on SE,Lee J ,Goldfi ne ,A B .I n fla mm ati on and i nsuli nresistance[J].Th e Journ al of C li n i cal I n vesti gation ,2006,166(7):1793-1801.[32] Park EK ,C hooM K ,K i m EJ ,et a.l An ti a ll ergic acti v i ty ofg i n -senos i de Rh2[J].B i o lPhar m Bu l ,l 2003,26:1581-1584.[33] 周丽斌,陈名道,宋怀东,等.小檗碱对脂肪细胞瘦素和抵抗素基因表达的影响[J ].中华内科杂志,2004,43(1):56-57.[34] Song J Y ,H an SK,B ae KG ,et a.l Radioprotecti ve effects ofg i nsan,an i m m uno m odu l ator[J].Rad iat Res ,2003,159:768-774.[35] 尚文斌,杨颖,陈名道,等.人参及其主要成分抗糖尿病作用机制[J ].国际内分泌代谢杂志,2007,27(2):116-117.中华中医药学刊蝉花总多糖对细胞免疫和体液免疫反应的促进作用何晓波1,芦柏震1,周俐斐1,陈峰阳2,王春雷1,蔡菊芬1(1.浙江省肿瘤医院,浙江杭州310022;2.浙江省医学科学院药物研究所,浙江杭州310013)摘 要:目的:研究蝉花总多糖(CCP)体内外对细胞免疫和体液免疫的影响。

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MS n analysis in an ion trap mass spectrometer permits multiple isolation and fragmentation stages, ensuring that product ions in each stage are specifically related to the precursor ion from that particular stage. This type of stepwise fragmentation can be quite advanta-geous because it allows product ion origins to be unambiguously assigned, making MS/MS spectra simpler to interpret and permitting indi-vidual fragmentation pathways to be followed. This note demonstrates the power of MS n analysis for the structural determination of ginsenosides from a ginseng root extract.ExperimentalAll experiments were done using an Agilent 1100 Series LC/MSD Trap system composed of a binary pump, vacuum degasser, autosampler,and thermostatted column compartment with column-switching valve. The system was operated with the electrospray ionization (ESI) source in the positive ion mode. Reagent grade chemicals and HPLC gradesolvents were used in preparing mobile phases and standards.Results and DiscussionFigures 1a–c show the full scan MS, MS/MS and MS 3spectra from direct infusion of the Rb1 ginsenoside standard, along with proposed origins of the observed product ions. The mass spectrum of Rb1 (Figure 1a) shows predomi-nantly the intact [M+Na]+pseudomolecular ion at m/z 1131.7, with little or no decomposition of the labile ginsenoside adduct under typical ESI interface conditions using a drying gas temperature of 350ºC. This is in contrast to previous studies in which a room temperature API interface was required to observe an intact molecular ion,5and emphasizes the gentle nature of the orthogonal spray ion source on the LC/MSD Trap.Linda L. LopezIntroductionGinseng root, a traditional Chinese herbalremedy, contains more than a dozen biologically active saponins called ginsenosides. This class of natural products is believed to play an impor-tant role in the treatment and prevention of a number of diseases including atherosclerosis,arthritis, asthma, diabetes, stroke, multiple sclerosis, and endotoxin liver injury.1–3Ginsenosides are among a growing class of herbal and vitamin products know as nutra-ceuticals, that is, food products that have pharmacological benefits to human health because of their therapeutic properties. With an estimated 15 million patients at risk of potentially adverse drug-herb interactions,4there is renewed interest in the isolation and characterization of these compounds.Ginsenosides are structurally described as glycosides consisting of an aglycone moiety,which is typically a triterpenoid or steroid, and one or more covalently linked sugar monomers.Since most ginsenosides contain multiple oligosaccharide chains at different positions in the molecule, structural elucidation of these compounds can be quite complicated.Tandem mass spectrometric methods have been developed for the characterization of ginsenosides contained in ginseng extracts.5However, MS/MS experiments carried out on a triple quadrupole mass spectrometer using a collision cell typically generate complex product ion spectra that are often difficult to interpret. This is because first-stage product ions tend to undergo further collisions with the background gas to yield second and third generation fragments that cannot be easily dis-tinguished from first-stage MS/MS product ions.Structural Determination of Ginsenosides Using MS n Analysisa p p l i c a t i o nUsing MS n AnalysisUsing MS n AnalysisUsing MS n AnalysisUsing MS n AnalysisStructural Determination of Ginsenosides Using MS n Analysis Agilent Technologies shall not be liable for errors contained herein or for incidental or consequential damages in connec-tion with the furnishing, performance or use of this rmation, descriptions and specifications in this publica-tion are subject to change without notice.Copyright © 2000Agilent Technologies All rights reserved.Reproduction and adaptation is prohibited.Printed in the U.S.A. January 2000(23) 5968-8869EReferences1.Kim Y. C., Kim S. R., Markelonis G. J., Oh T. H., J. Neurosci. Res.53, 1998, 426–32.2.Kim H. S., Hong Y. T., Jang C. G.,J. Pharm. Pharmacol.50, 1998, 555–60.3.Yokozawa T.; Liu Z. W.; Dong E., Nephron.78, 1998, 201–6.4.Smolinske S. C., J. Am. Med. Womens Assoc.54, 1999, 191–2.5.Wang X., Sakuma, T., Asafu-Adjaye, E., Shiu, G.K.,Anal. Chem.71, 1999, 1579–84.AuthorLinda L. Lopez is an applications chemist at Agilent Technologies in Palo Alto, CA.ConclusionsMS n analysis using an ion trap mass spectrometer specifically selects the desired precursor ion and dissociates it to produce a specific fragmentation pattern in individual stages. As a result, it is a powerful analytical tool for deducing molecular structure. Electrospray ionization provides a soft ionization technique for generating predominantly intact molecular or pseudomolecular ions with little or no structurally relevant fragment ions in the mass spectra. MS/MS fragmentation in an ion trap massspectrometer is useful because the product ions gener-ated are derived only from the original molecular ion and are not the result of any additional fragmentation,as can be the case with collision induced dissociation (CID) in a collision cell. Additional MS stages tend to show stepwise fragmentations in which all or most of the ion current is localized in a single product ion,greatly facilitating interpretation of the spectra.。

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