Development of Microbial Biomass and Enzyme Activities in Mine Soils

Size: px
Start display at page:

Download "Development of Microbial Biomass and Enzyme Activities in Mine Soils"

Transcription

1 Pol. J. Environ. Stu. Vol. 21, No. 3 (2012), Originl Rsrh Dvlopmnt o Miroil Biomss n Enzym Ativitis in Min Soils Mrin Chok 1 *, Mri Niklińsk 2 1 Dprtmnt o Opn-strip Mining, AGH Univrsity o Sin n Thnology, Mikiwiz 30, Krków, Poln 2 Institut o Environmntl Sins, Jgillonin Univrsity, Gronostjow 7, Krków, Poln Riv: 2 April 2011 Apt: 6 Dmr 2011 Astrt This stuy ssss th vlopmnt o miroil iomss, sl rspirtion, n th tivitis o hyrogns, urs, n i phosphomonostrs in sny min soils rlim or orstry n thos vloping unr vgttion rom nturl sussion. Th min soils ontin signiintly lss orgni C (C org ) n totl N (N t ) thn th nturl orst soils. Howvr, in som o thm th miroil iomss n sl rspirtion ttin vlus typil or th nturl orst soils. Th ontnt o N t prov to th most importnt ontrol on th miroil iomss, sl rspirtion, n th tivitis o hyrogns n phosphomonostrs in th min soils. All th miroil proprtis wr positivly rlt lso to C org ontnt. Th tivitis o hyrogns n urs pn strongly on miroil iomss (C mi ). Hn, high tivitis o ths nzyms wr trmin in soils ontining high C mi. Th i phosphomonostrs tivity ws lso positivly rlt to C mi, ut its tivity ws inrs in th soils with low P ontnts. Kywors: min soils, miroil iomss, hyrogns tivity, i phosphomonostrs tivity, urs tivity Introution *-mil: hok@gh.u.pl Aorsttion is ommon wy to rlim post-mining rrns. On o th most importnt gols o rlmtion or orstry is th rstlishmnt o stl n proutiv osystms. This gol n hiv only i soil untionlity is rstor. Soil miroorgnisms r involv in svrl ky soil prosss suh s omposition n ormtion o soil orgni mttr, nutrint yling, n nrgy trnsr [1]. Thror, msurmnt o irnt soil miroil n iohmil proprtis hs n rommn or soil rovry ssssmnt [2]. Soil nzyms r protins tht tlyz spii rtions rquir to pross omplx orgni ompouns into ssimill suunits suh s sugrs, mino is, NH 4+, PO 4 3-, t. [3, 4]. Dtrmining o tivitis o nzyms involv in th yling o nutrints suh s N, P, or S my giv inormtion on nutrint turnovr in soils. Thror, msurmnts o vrious soil nzyms hv n wily us or stimtion o soil rovry tr isturn n or soil qulity ssssmnt [5]. For instn, Mor t l. [6] us th tivitis o hyrogns, rylsults, n β-gluosis to ssss th t o vrious trtmnts on hvy mtl-ontmint soils tr th Aznlollr int in Spin. Blrin t l. [7] stui hronosqun o lyy min soils ovr y spontnously vloping vgttion n rport tivitis o llois, β-xylosis, i phosphts, n rylsults to inrs grully with th sit g. Th ojtiv o this stuy ws to ssss th vlopmnt o miroil iomss, sl rspirtion, n tivitis

2 570 Chok M., Niklińsk M. o soil nzyms involv in N n P yling in sny min soils rlim or orstry n thos vloping unr vgttion rom nturl sussion. Th nturl orst soils wr us s rrn. Mtril n Mthos Stuy Ar Th stuy ws rri out in Uppr Silsi, Poln (19º26' E; 50º16' N), on th grouns o th Szzkow opn-st sn qurry n its surrounings. Th limt is tmprt, with mn nnul pripittion o 700 mm n mn nnul tmprtur o 8ºC. Soils o th stuy r (minly Pozols) vlop rom sns. Th sn posits r luvioglil qutrnry simnts o pr-qutrnry morphologil prssion. Extrtion o sns in Szzkow Qurry rt n opn st ovring ovr 2700 h. Sin th lt 1950s it hs n rlim. Th stnr rlmtion prour inlu orming n lvling o th sur n ing n orgni mnmnt (pprox. 300 m 3 h -1 ). Th mnmnt ws mixtur o orst loor (O horizon) n minrl horizons (horizons A h, E, n prtly B), with vrg orgni C ontnt o % ollt rom orst soils in rs to min [8]. Thn th rlim sits wr lim (1.5 Mg olomit h -1 ), n lupin (Lupinus lutus L.) ws ultivt or two yrs. Th lupin ultivtions wr rtiliz with NPK (140 kg N h -1, 300 kg P 2 O 5 h -1, 180 kg K 2 O h -1 ). Atr two yrs, th lupin iomss ws plough into th soil s grn mnur n th sits wr orst with 1-yr-ol Sots pin slings (Pinus sylvstris), ommon irh (Btul pnul) n som othr iuous trs. Ovr th lst 25 yrs, rtin moiitions wr introu to th rlmtion mthos; ths inlu sstion o liming, n rsing th quntity o orgni mnmnt n NPK minrl rtilizrs (inormtion rom th Szzkow Sn Qurry). Chngs in rlmtion prours us th rlim sits smpl in our stuy to irntly trt. Th olst sit ws rlim oring to th stnr prour s sri ov. Th intrmit sit ws not lim ut riv th sm mount o orgni mnmnt n minrl rtilizrs s th olst on. At th youngst rlim sit no liming ws ppli, NPK rtilizrs wr ppli t lowr rts (50 kg N h -1, 140 kg P 2 O 5 h -1, 120 kg K 2 O h -1 ), n th orgni mnmnt (mount rs to pproximtly 30 m 3 h -1 ) ws not spr ovr th ntir rlim r ut ppli irtly unr th slings uring plnting. Th rlmtion trtmnts t ll th smpl min soils r summriz in Tl 1. In th 1970s, 1980s, n 1990s som prts o th opn st wr non n initil soil ormtion gn thr unr th vgttion rom nturl sussion. At th non sits, hrous ommunitis omint y gry hir-grss (Corynphorus nsns L.) wr th irst to stlish. Thy wr ollow y io-groups o trs with Tl 1. Rlmtion msurs t th smpl min soils. Soil Orgni mnmnt Liming ovr 50% omintion y Sots pin (Pinus sylvstris L.) n ommon irh (Btul pnul Roth.), with th osionl trmling poplr (Populus trmul L.) [9]. Soil Smpling Frtiliztion Lupin ultivtion m 3 h m 3 h m 3 h Mg olomit h kg N h -1 2 yrs 140 kg P 2 O 5 h kg K 2 O h kg N h -1 2 yrs 140 kg P 2 O 5 h kg K 2 O h kg N h -1 2 yrs 300 kg P 2 O 5 h kg K 2 O h kg N h -1 2 yrs 300 kg P 2 O 5 h kg K 2 O h -1 Smpls o minrl soil (0-5 m) wr tkn in My 2007 t 10 sits (r = 1000 m 2 ): gr sit prior to rlmtion (), sit tr two yrs o lupin ultivtion (), rlim post-mining sits orst with Sots pin (7, 21, n 29 yrs ol,, n, rsptivly), post-mining sits with spontnously vloping pin orst stns (7, 21, n 28 yrs ol,, n, rsptivly), n two nturl pin orst stns s rrn soils (orst stns unr 31 n 109 yrs ol n, rsptivly). At h sit, ight mix smpls onsisting o iv su-smpls (r o h susmpl = 0.16 m 2 ) wr tkn. At ll th sits (xpt ) th soils wr lssii s sns (sn ontnt 88-99%, silt ontnt 0-9%, ly ontnt 0-2%). At th soil ws lomy sn (87% sn, 9% silt, 4% ly) [10]. Th smpls wr siv (2 mm msh) n ivi into two prts. On prt ws ir-ri n us or hmil nlyss, n th othr ws stor t 4ºC n us or miroil nlyss. Prior to miroil nlyss th smpls wr just to 50% o th mximum wtr holing pity (WHC) n pr-inut t 22ºC or 14 ys.

3 Dvlopmnt o Miroil Biomss n Enzym Anlytil Mthos Mximum wtr holing pity (WHC) ws trmin grvimtrilly [11]. Th ph o th smpls ws msur in 1M KCl solution t 1:10 soil:liqui rtio (w:v) using igitl ph-mtr (CP-401, ELMETRON). Th ontnt o orgni C (C org ) n totl N (N t ) ws trmin y ry omustion using CN nlyzr (Vrio Mx, Elmntr Anlysnsystm GmH). Th ontnt o xtrtl P (P xt ) ws msur tr xtrtion with Mhlih I xtrtnt. Brily, th soil smpls (5 g) wr shkn with 25 ml o Mhlih I xtrtnt (5 N HCl n 25 N H 2 SO 4 ; ph=1.2). Thn, th suspnsions wr iltr through inpor iltr n th inorgni P onntrtion in th iltrts ws trmin olorimtrilly with ontinuous low uto-nlyzr (FIAompt, MLE, Drsn, Grmny). Miroil iomss C (C mi ) ws trmin using sustrt-inu rspirtion mtho [12]. Bsl rspirtion (RESP) ws trmin tr inution o th soil smpls or 24 h t 22ºC in gs-tight jrs. Th volv CO 2 ws trpp in 0.2 M NOH n trmin y titrtion o th xss o hyroxi with 0.1 M HCl in th prsn o phnolphthlin s initor. Dhyrogns tivity ws trmin oring to von Mrsi [13]. Th soil smpls (1 g.w.) wr mix with 1.5 ml Tris ur (ph 7) n 2 ml 0.5% INT (2-pioophnyl-3-p-nitrophnyl-5-phnyl ttrzolium hlori) solution, n inut t 40ºC or 2 h. Th ru ioonitrottrzolium ormzn (INTF) ws xtrt with 10 ml imthyloormmi/thnol (1:1) n msur photomtrilly t 464 nm. Dhyrogns tivity ws xprss s µg INTF g -1 h-1. Ai phosphomonostrs tivity ws msur s sri y Mrgsin [14]. Th soil smpls (1 g.w.) wr mix with 1 ml isoium p-nitrophnyl phospht solution (115 mm) n 4 ml ur solution (ph 6.5) n inut t 37ºC or 1 hour. Th p-nitrophnol rls y phosphomonostrs tivity ws xtrt n olor with NOH n trmin photomtrilly t 400 nm. Ai phosphomonostrs tivity ws xprss s µg p- -1 NP g-1 h n i phosphomonostrs iiny ws lult s i phosphomonostrs tivity normliz to pr µg o C mi sis. Urs tivity ws trmin s sri y Knlr [15]. Th soil smpls (5 g.w.) wr mix with 2.5 ml ur (720 mm) n 20 ml ort ur (ph 10) n inut t 37ºC or 4 hours. Th rls mmonium ws xtrt with iii potssium hlori solution, olour in th moii Brthlot rtion n msur photomtrilly t 690 nm. Urs tivity ws xprss s µg N g -1 h-1 n urs iiny ws lult s urs tivity normliz to pr µg o C mi sis. Clultions n Sttistil Dt Anlyss All nlyss wr prorm in triplit n th mn vlus wr us in urthr lultions. Th t prsnt in th txt r mns vlus o ight rplits pr sit. Dirns in hmil n miroil proprtis twn th orst stns wr tst y on-wy nlysis o vrin (ANOVA). Th Fishr lst signiint irn (LSD) tst or multipl omprisons ws run i signiint irns wr oun (p<5). Rltionships twn th msur hmil n miroil proprtis o th min soils wr stui using Prson orrltions tr xluing th smpls rom nturl orst soils ( n ). Comprison o rgrssion lins ws prorm to hk i th rltionships twn C mi n th RESP n nzym tivitis r onsistnt in th rlim n sussionl soils. Prior to sttistil nlyss th t wr log-trnsorm or squr root-trnsorm to ulill th ssumption o normlity. Th sttistil lultions wr prorm with Sttgrphis Plus vrsion 5.1 (Mnugistis In.). Rsults Chmil Proprtis o Soils Th lowst ontnts o C org n N t wr trmin in th pr-rlmtion min spoil soils () (0.21 mg g -1 n 04 mg g -1, rsptivly) n 2-yr lupin () (0.27 mg g -1 n 11 mg g -1, rsptivly). In orst min soils th ontnts o C org wr signiintly highr n tn to inrs with inrsing sit g (Fig. 1). Howvr, th inrsing trn hs not n osrv or N t. Th ontnts o this lmnt in th rlim soils wr similr ( mg g -1 ) whrs or th min soils unr nturl sussion th lowst N t ws trmin in soil (79 mg g -1 ) n th highst in soil (0.260 mg g -1 ). Th nturl orst soils ontin signiintly mor C org ( mg g -1 ) n N t ( mg g -1 ) thn ny o th min soils (Fig. 1). Th lowst C org -to-n t rtio ( ) ws msur in th youngst orst min soils ( n ) n th highst in th soil (41.5). For th othr min n nturl soils th C org -to-n t rtios wr rltivly similr n vri rom 19.8 to Th highst ontnt o P xt ws msur in th soil (6.31 mg kg -1 ) n th lowst in soil (0.52 mg kg -1 ). Low ontnts o P xt wr msur lso in th sussionl min soils (1.16 mg kg -1 ) n (1.17 mg kg -1 ). In th othr min soils th P xt ontnts wr highr n similr to th P xt onntrtion in th nturl orst soil (Fig. 1). Th highst C org -to-p xt rtios wr msur in th soil (4305) n in th two nturl orst soils (2899 n 3558 or n, rsptivly). Rltivly high C org -to-p xt rtio ws trmin lso in soil (1573). Th highst ph vlus wr msur in th soils n (6.1 n 5.8, rsptivly). Th ph vlus o th orst min soils wr signiintly lowr n vri rom 4.1 to 4.8 (Fig. 1).

4 572 Chok M., Niklińsk M. Miroil n Biohmil Proprtis Th lowst C mi n RESP wr msur in th soil (10.1 µg g -1 n 8.1 µg C-CO 2 g -1 24h -1, rsptivly). Th soil h similr C mi (20.1 µg g -1 ) ut signiintly highr RESP (16.7 µg C-CO 2 g -1 24h -1 ) ompr with th soil (Fig. 2). In th orst min soils, C mi ws similr n vri rom 47.2 µg g -1 to 70.7 µg g -1. Th only xption ws soil, whih ontin signiintly highr C mi (130.6 µg g -1 ). This soil lso xhiit th highst RESP mong ll th stui soils (111.0 µg C-CO 2 g -1 24h -1 ). Rltivly high RESP ws msur lso in soil (81.0 µg C-CO 2 g -1 24h -1 ). Th prntg o C org prsnt s C mi (C mi -to-c org ) ws th highst in th n soils, 8.4% n 5.3%, rsptivly. In th orst min soils th C mi -to-c org ws lowr n rs with sit g. Th lowst prntg o C org prsnt s C mi ws trmin in th nturl orst soils ( %). Th highst hyrogns tivity ws trmin in soil (20.1 µg INTF g -1 h -1 ), ollow y two nturl orst soils (16.7 µg INTF g -1 h µg INTF g -1 h -1 ). In th othr min soils, hyrogns tivity ws lowr n th minimum vlu (1.8 µg INTF g -1 h -1 ) ws msur in soil. A similr pttrn ws osrv or urs tivity: th highst tivity o this nzym ws in soil Corg (%) C org (%) N Nt t (%) C Corg-to-Nt -to-n t ph phkcl Pxt P kg -1 ) Corg-to-Pxt C -to-p (mg kg -1 ) Fig. 1. Mn vlus (n=8) o th orgni C (C org ) n totl N (N t ) ontnts, C org -to-n t rtio, xtrtl P ontnt (P xt ), C org -to-p xt rtio n ph in min soils (,,,,,,, ), n nturl orst soils ( n ). Error rs init stnr rrors. Columns shring th sm lttr o not ir signiintly (p<5).

5 Dvlopmnt o Miroil Biomss n Enzym (2.7 µg N g -1 h -1 ), ollow y th soils (1.9 µg N g -1 h -1 ) n (1.6 µg N g -1 h -1 ), n th lowst ws in soil (0.2 µg N g -1 h -1 ). Howvr, whn urs ws xprss on miroil iomss sis (urs iiny), th pttrn ws quit irnt with th highst urs iiny in soil (Fig. 2). For i phosphomonostrs tivity, th highst vlus wr msur in soils (136.9 µg p-np g -1 h -1 ) n (108.1 µg p-np g -1 h -1 ), n th lowst in soils (5.6 µg p-np g -1 h -1 ) n (8.7 µg p-np g -1 h -1 ). Th youngst orst soils ( n ) xhiit highr i phosphomonostrs tivitis thn th olr ons. Th highst Cmi C kg -1 (mg kg -1 ) ) Cmi-to-Corg C -to-c org (%) APHP APHP (μg (µg p-np g g -1 h h -1-1 ) ) APHP (μg (µg p-np µg μg -1 C Cmi h -1 h -1 ) ) Cmi -1 ) URE (μg N g -1 h ) URE (µg N g -1 h -1 DHG(μg g -1 h (µg INTF g -1 h -1 ) URE (µg N µg (μg N μg h -1 h -1 ) ) (ug g 24h -1 RESP (µg C-CO2 g -1 24h -1 ) Fig. 2. Mn vlus (n=8) o miroil iomss (C mi ), sl rspirtion (RESP), C mi -to-c org rtio, tivitis o hyrogns (DHG), urs (URE), i phosphomonostrs (APHP) n iinis o urs (URE ), i phosphomonostrs (APHP ) in min soils (,,,,,,, ) n nturl orst soils ( n ). Error rs init stnr rrors. Columns shring th sm lttr o not ir signiintly (p<5).

6 574 Chok M., Niklińsk M. Tl 2. Corrltion oiints twn hmil n miroil proprtis in th min soils (n=64, p<5). N t 0.95 C org -to-n t N.D. N.D. C org N t C org -to-n t P xt C org -to-p xt ph C mi RESP DHG APHP URE APHP P xt N.S. N.S. N.S. C org -to-p xt N.S. N.D. ph N.S C mi N.S RESP N.S DHG N.S APHP N.S URE N.S. N.S APHP N.S. N.S N.S N.S. N.S. N.S N.S. URE N.S. N.S N.S. N.S N.S. N.S. N.S N.S. N.S. not signiint N.D. not trmin i phosphomonostrs iiny ws msur or th soil (3.1 µg p-np μg C mi -1 h -1 ). For th othr soils, i phosphomonostrs iiny ws lowr n vri ovr rltivly nrrow rng ( µg p-np μg C mi -1 h -1 ). Thr ws trn or rsing i phosphomonostrs iiny with g in th sussionl n rlim min soils. Rltionships twn Chmil n Miroil Proprtis in th Min Soils Th ontnts o C org n N t wr highly orrlt with h othr (r=0.95, p<001). Howvr, non o ths lmnts orrlt with P xt (Tl 2). Thr ws strong ngtiv rltionship twn C org n N t n soil ph (r=-0.86, p<001 n -0.80, p<001, rsptivly). A wk ut signiint (p=058) ngtiv rltionship lso ws osrv twn soil ph n P xt ontnt (r=-0.26). Th miroil iomss n RESP wr orrlt with h othr (r=0.88, p<001) (Tl 2). Ths two miroil proprtis wr strongly positivly rlt to th ontnts o C org n N t (r= , p<001) n mortly, ngtivly to soil ph (r=-0.58, p<001). Th tivitis o hyrogns, urs, n i phosphomonostrs orrlt positivly with RESP (r= , p<001) n C mi (r= , p<001). Similrly to C mi n RESP, th nzym tivitis pn positivly on th ontnts o C org n N t (r= , p<001), n ngtivly on soil ph (r=-0.57 to -0.64, p<001). Non o th soil nzym tivitis ws rlt to th ontnt o P xt. Howvr, ll proprtis orrlt positivly with C org -to- P xt rtio (r= , p<001). A wk ngtiv rltionship ws osrv twn th i phosphomonostrs iiny n th ontnt o P xt (r=-0.25, p=458). Th urs iiny orrlt positivly with C org -to-n t rtio (r=0.35, p=082). Comprison o th rgrssion lins rvl tht th rgrssion oiints or th rltionships twn C mi n RESP, hyrogns, i phosphomonostrs n urs tivitis i not ir twn th rlim n sussionl soils (Fig. 3). Th p-vlus vri rom 0.54 to 0.93, initing similrity o rgrssion slops or th rlim n sussionl min soils. Disussion Chmil Proprtis o Soils Our rsults onirm inings prviously rport or this r [10]. Th lowst ontnts o C org n N t wr msur in th pur sn prior to rlmtion. Two-yrs o lupin ultivtion i not signiintly inrs th ontnts o ths lmnts. Only in th orst min soils (rlim n sussionl) wr th ontnts o C org n N t signiintly highr ompr with th pur sn, initing th importn o trs or soil vlopmnt in postmining rrns. Among th orst min soils, th highst ontnts o C org n N t wr trmin in soil, whih ontin th highst prntg o ly prtils mong th stui min soils. Soils with highr ly ontnt n stor mor C org u to uiling o orgno-minrl omplxs rsistnt to miroil grtion [16-18]. Our rsults init tht vn smll irn in th ly ontnt my rsult in signiint irns in C org umultion in th rlim min soils. Similrly, Chok n Niklińsk [19] rport tht rlim lomy sns unr

7 Dvlopmnt o Miroil Biomss n Enzym yr-ol orsttions on th xtrnl hp in Błhtów ontin signiintly mor C org n N t thn th sns. Th C org n N t ontnts in ll th min soils wr muh lowr thn in th nturl orst soils, initing tht uilup o orgni mttr n umultion o C org n N t in rlim min soils is long-trm pross [20]. Th orst min soils h signiintly lowr ph ompr with th n soils. This ws proly u to umultion o orgni mttr, whih is otn ompni y rs o soil ph [21]. Furthrmor, Pinus sylvstris, whih ws th ominting tr spis t th xprimntl sits, is known to us soil iiition [22, 23]. A rltivly high onntrtion o P xt ws msur in th soil n th P xt ontnt in soil ws signiintly highr thn in. This inits th t o rlmtion msurs tht inlu P rtiliztion on th hmil proprtis o th min soils. Th P xt ontnts t prtiulr sits i not ntirly orrspon to prviously rport rsults [10]. Howvr, in our rlir stuy th P ontnts wr msur with irnt mtho n thror somwht irnt rsults might hv n otin. Miroil n Biohmil Proprtis Th C mi n RESP wr strongly rlt to h othr oth in th rlim n in th sussionl soils. Th lowst vlus o ths proprtis wr msur in th prrlmtion min spoil. Two yrs o lupin ultivtion h rltivly smll t on ths soil proprtis n inrs only th RESP. In sussionl min soils n, th C mi n RESP rmin onstnt ut pk in th olst sussionl soil,. Th highr C mi n RESP in soil wr proly rlt not only to grul vlopmnt o soil miroil ommunitis, ut lso rsult rom highr ontnt o in prtils (silt n ly) in this soil. Soils with highr ontnt o in prtils usully mintin lrgr miroil ommunitis thn orsly txtur soils, sin thy provi ttr prottion rom unl prtion or miros n mitigt lututions o wtr vilility [16, 17]. For instn, th orst lomy sns t th rlim ovrurn hp in Błhtów ontin signiintly mor C mi n xhiit highr RESP thn th sns [19]. Among th rlim min soils, th highst C mi n RESP wr msur in th youngst soil, monstrting positiv t o rlmtion msurs on soil miroil proprtis. Howvr, this t prov trnsint s in th olr rlim min soils, n, C mi n RESP wr lowr. Dspit th lowr C org n N t ontnts, th miroil iomss n sl rspirtion in soils n rh or vn x th vlus msur in th nturl orst soils. W prsum tht in th nturl orst soils lrg proportion o C org n N t ws in th rlitrnt orm n log(aphp) log(aphp) log(resp) mi 3 log(c mi mi ) 0.8 log(c mi ) Rlmtion y = *x Sussion y = *x p = 0.93 Rlmtion y = *x Sussion y = *x p = log(c mi ) log(dhg) log(ure) Rlmtion y = *x Sussion y = *x p = Rlmtion y = *x Sussion y = *x p = log(c mi )) Fig. 3. Rltionships twn miroil iomss (C mi ) n sl rspirtion (RESP) n tivitis o hyrogns (DHG), urs (URE), i phosphomonostrs (APHP) in th rlim n sussionl soils. Th p-vlus or th omprison o rgrssion oiints r lso prsnt.

8 576 Chok M., Niklińsk M. thus ws lss vill or miros. In, th prntg o C org prsnt s C mi in th nturl orst soils ws muh lowr thn in th min soils, initing lowr vilility o C org or soil miroorgnisms. In th min soils th prntg o C org prsnt s C mi rs with g s prviously sri in svrl stuis [24-26], initing th progrssiv umultion o rlitrnt orgni mttr [26]. Dhyrogns tivity orrlt strongly with C mi, n this rltionship ws onsistnt in th rlim n sussionl soils. Consquntly, high hyrogns tivitis wr trmin in th soils with highr miroil iomss. Dhyrognss r intrllulr nzyms tht xist only in th living lls; thror, th msurmnt o hyrogns tivity hs somtims n us s msur o gnrl soil miroil tivity [6, 27, 28]. Th vill ssys my unrstimt hyrogns tivity, sin th sustrts us in th nlyss r lss tiv ltron ptors thn oxygn [3]. Our rsults init, howvr, tht in th min soils th tivity o hyrogns rlts wll thir miroil tivity. Th highst tivitis o urs n i phosphomonostrs wr trmin in sussionl min soils n, rsptivly. Urs n i phosphomonostrs r xtrllulr nzyms involv in th yling o N n P, rsptivly. Urs tlyss th + rls o NH 4 rom ur [4] n i phosphomonostrs tlyss th hyrolysis o orgni P strs to inorgni P [28]. High tivity o soil nzyms my init nutrint limittion or soil miros [29]. Howvr, th rltionships twn xtrllulr nzym tivitis n nutrint ontnts r not lwys lr us nzym tivitis pn oth on nutrint vilility n on th miroil iomss [30]. High nutrint ontnts my supprss synthsis o nzyms ut inrs miroil iomss. Sin th miroil iomss is otn mjor ontrol on miroiologilly mit prosss [31, 32] rs in th nzym synthsis my ompnst y inrsing miroil iomss [30]. In our stuy, th urs n i phosphomonostrs tivitis wr positivly orrlt with miroil iomss n this rltionship ws onsistnt in th rlim n sussionl soils. For urs tivity th rltionship with C mi ws rltivly strong (r=0.70). This my xplin th positiv orrltion o urs tivity with N t us N t ontnt h strong positiv t on th miroil iomss. W think tht high urs tivity in soil rsult minly rom highr miroil iomss us urs iiny in this soil i not ir signiintly rom th othr soils. Th ngtiv t o high ontnts o N t on urs tivity in our stuy ws vint only whn urs tivity ws xprss pr unit o miroil iomss (urs iiny) n mnist s positiv rltionship twn urs iiny n C org -to-n t rtio. Similrly, Allison t l. [30] osrv ngtiv rltionship twn N t ontnt n NAGs tivity in th minrl soils in th orgroun o Frnz Joz glir only whn th tivity o this nzym ws xprss on miroil iomss sis. Surprisingly, th i phosphomonostrs tivity i not orrlt with P xt ontnt, lthough ngtiv orrltions twn tivity o phosphtss n soil P ontnt hv n prviously rport [30, 33]. In our stuy th ngtiv rltionship twn th P xt ontnt n th i phosphomonostrs tivity ws xprss s th positiv rltionship with th C org -to-p xt rtio n th ngtiv orrltion twn i phosphomonostrs iiny n P xt ontnt. High i phosphomonostrs tivity n iiny in soil my xplin y low ontnt o P xt. Lowr P xt ontnt in soil ompr with th two olr rlim min soils ws proly th rson or highr i phosphomonostrs tivity n iiny in this soil. Th msur nzym tivitis wr orrlt with h othr n pn on miroil iomss n th hmil n physio-hmil soil proprtis. Th orrltion nlysis init tht th N t ontnt ws th most limiting tor or th miroil iomss, sl rspirtion n th tivitis o hyrogns n i phosphomonostrs. Only or th urs tivity ws C org ontnt mor importnt. Th N-limittion o miroil growth in soils is ommon phnomnon n hs n rport or irnt soils [1]. All th msur miroil proprtis orrlt ngtivly with soil ph. Soil ph is n importnt tor ting soil miros, ut usully positiv rltionships twn ph n miroil proprtis hv n rport [34-36]. In our stuy th ngtiv rltionship o soil miroil proprtis to soil ph rsult pprntly rom th t tht th umultion o orgni mttr ws oupl with rsing ph. Th C org n N t ontnts r mor importnt ontrols on soil miroil proprtis thn soil ph [1]. Conlusions Th min soils ontin signiintly lss C org n N t thn th nturl orst soils. Howvr, in som o th min soils th miroil iomss n sl rspirtion ttin th vlus typil or th nturl orst soils. Th ontnt o N t ws th most importnt ontrol on th miroil iomss, sl rspirtion, n th tivitis o hyrogns n phosphomonostrs in th min soils. All th miroil proprtis wr positivly rlt lso to C org ontnt. Th tivitis o hyrogns n urs pn strongly on C mi. Thror, high tivitis o ths nzyms wr trmin in soils ontining high C mi. Th i phosphomonostrs tivity ws lso positivly rlt to C mi, ut its tivity ws nhn in th soils with low P ontnts. Aknowlgmnts Th stuy ws inn y th Polish Ministry o Sin n Highr Eution, grnt Nos. 2P04G02230 n

9 Dvlopmnt o Miroil Biomss n Enzym Rrns 1. BAUHUS J., KHANNA P.K. Th signiin o miroil iomss in orst soils. In: N. Rstin, J. Buhus (Es.), Going Unrgroun Eologil Stuis in Forst Soils, Rsrh Signpost, Trivnrum, Ini, pp , HARRIS J.A. Msurmnts o th soil miroil ommunity or stimting th suss o rstortion. Eur. J. Soil Si. 54, 801, NANNIPIERI P., KANDELER E., RUGGIERO P. Enzym tivitis n miroiologil n iohmil prosss in soil. In: Burns RG n Dik RP (E.) Enzyms in th nvironmnt. Ativity, ology n pplitions. Mrl Dkkr, Nw York, pp 1-33, CALDWELL B.A. Enzym tivitis s omponnt o soil ioivrsity: rviw. Poiologi 49, 637, GIL-SOTRES F., TRASAR-CEPEDA C., LEIRÓS M.C., SEOANE S. Dirnt pprohs to vluting soil qulity using iohmil proprtis. Soil Biol. Biohm. 37, 877, DE MORA A.P., ORTEGA-CALVO J.J., CABRERA F., MADEJÓN E. Chngs in nzym tivitis n miroil iomss tr in situ rmition o hvy mtl-ontmint soil. Appl. Soil Eol. 28, 125, BALDRIAN P., TRÖGL J; FROUZ J., ŠNAJDR J., VALÁŠKOVÁ V., MERAHUTOVÁ V., CAJTHAML T., HERINKOVÁ J. Enzym tivitis n miroil iomss in topsoil lyr uring spontnous sussion in spoil hps tr rown ol mining. Soil Biol. Biohm. 40, 2107, STRZYSZCZ Z. Th soil lss rlmtion mtho o th tr-inustril rs in Silsin provin hivmnts n thrts. Soil Sin Annul. 25, 405, 2004 [In Polish]. 9. PIETRZYKOWSKI M. Chrtristis o slt turs o rorsnt vgttion in rlim rs n in rs lt or sussion s xmplii y xprimntl plots in th Szzkow sn min xvtion. At Agr. Silv. sr. Silv., 63, 1, 2005 [In Polish]. 10. CHODAK M., PIETRZYKOWSKI M., NIKLIŃSKA M. Dvlopmnt o miroil proprtis in hronosqun o sny min soils. Appli Soil. Eol. 41, 259, SCHLICHTING E., BLUME H.O. Bonkunlihs Prktikum. Pul Pry, Hmurg, ANDERSON J.P.E, DOCH K.H. A physiologil mtho or th quntittiv msurmnt o miroil iomss in soils. Soil Biol. Biohm. 10, 215, VON MERSI W. Dhyrogns tivity with th sustrt INT. In: Mthos in soil iology. Springr Vrlg: Brlin, Hilrg, pp , MARGESIN R. Ai n lklin phosphomonostrs tivity with sustrt p-nitrophnyl phospht. In: Mthos in soil iology. Springr Vrlg: Brlin, Hilrg, pp , KANDELER E. Urs tivity y olorimtri thniqu. In: Mthos in soil iology. Springr Vrlg: Brlin, Hilrg, pp , FRANZLUEBBERS A.J., HANEY F., HONS F.M., ZUBERER D.A., Ativ rtions o orgni mttr in soils with irnt txtur. Soil Biol. Biohm. 28, 1367, MÜLLER T., HÖPER H. Soil orgni mttr turnovr s untion o th soil ly ontnt: onsquns or mol pplitions. Soil Biol. Biohm. 36, 877, SOLLINS P., HOMANN P., CALDWELL B.A. Stiliztion n stiliztion o soil orgni mttr: Mhnisms n ontrols. Gorm 74, 65, CHODAK M., NIKLIŃSKA M. Et o txtur n tr spis on miroil proprtis o min soils. Appl. Soil Eol. 46, 268, ŠOURKOVÁ M., FROUZ J., FETTWEIS U., BENS O., HÜTTL R.F., ŠANTRŮČKOVÁ H. Soil vlopmnt n proprtis o miroil iomss sussion in rlim post mining sits nr Sokolov (Czh Rpuli) n nr Cottus (Grmny). Gorm 129, 73, BOLAN N.S., HEDLEY M.J., WHITE R.E. Prosss o soil iiition uring nitrogn yling with mphsis on lgum s psturs. Plnt Soil 134, 53, ARNOLD G. Soil iiition s us y th nitrogn uptk pttrn o Sots pin (Pinus sylvstris) Plnt Soil 142, 41, EMMER I.M., SEVINK J. Tmporl n vrtil hngs in th humus orm proil uring primry sussion o Pinus sylvstris. Plnt Soil 167, 281, INSAM H., DOCH K.H. Rltionships twn soil orgni ron n miroil iomss on hronosqun o rlim sits. Miro. Eol. 15, 177, ŠANTRŮČKOVÁ H. Miroil iomss, tivity n soil rspirtion in rltion to sonry sussion. Poiologi 36, 314, GRAHAM M.H., HAYNES R.J. Orgni mttr sttus n th siz, tivity n mtoli ivrsity o th soil mirolor s initors o th suss o rhilittion o sn uns. Biol. Frtil. Soils 39, 429, PASCUAL J.A., GARCIA C., HERNANDEZ T., MORENO J.L., ROS M. Soil miroil tivity s iomrkr o grtion n rmition prosss. Soil Biol. Biohm. 32, 1877, TAN X., CHANG S.X., KABZE R. Soil omption n orst loor rmovl ru miroil iomss n nzym tivitis in orl spn orst soil. Biol. Frtil. Soils 44, 471, SINSABAUGH R.L., ANTIBUS R.K., LINKINS A.E., MCCLAUGHERTY C.A., RAYBURN L., REPERT D., WEILAND T. Woo omposition: nitrogn n phosphorus ynmis in rltion to xtrllulr nzym tivity. Eology 74, 1586, ALLISON V.J., CONDRON L.M., PELTZER D.A., RICHARDSON S.J., TURNER B.L. Chngs in nzym tivitis n soil miroil ommunity omposition long ron n nutrint grints t th Frnz Jos hronosqun, Nw Zln. Soil Biol. Biohm. 39, 1770, ŠANTRŮČKOVÁ H., VRBA J., PICEK, T., KOPACEK. Soil iohmil tivity n phosphorus trnsormtions n losss rom iii orst soils. Soil Biol. Biohm. 36, 1569, SELTMANS P.C., HART S.C., BOYLE S.I., STARK J.M. R lr (Alnus rur) ltrs ommunity-lvl miroil untion in onir orsts o th Pii Northwst, USA. Soil Biol. Biohm. 37, 1860, ALLISON S.D., VITOUSEK P.M. Rsponss o xtrllulr nzyms to simpl n omplx nutrint inputs. Soil Biol. Biohm. 37, 937, PRIHA O., SMOLANDER A. Nitrogn trnsormtions in soil unr Pinus sylvstris, Pi is n Btul pnul t two orst sits. Soil Biol. Biohm. 31, 965, ANDERSSON S., NILSSON S.I. Inlun o ph n tmprtur on miroil tivity, sustrt vilility o soil solution tri n lhing o issolv orgni ron in mor humus. Soil Biol. Biohm. 33, 1181, QUILCHAO C., MARAŃÓN T. Dhyrogns tivity in Mitrrnn orst soils. Biol. Frtil. Soils 35, 102, 2002.

10 Copyright o Polish Journl o Environmntl Stuis is th proprty o Sintii Invstigtion Committ n its ontnt my not opi or mil to multipl sits or post to listsrv without th opyright holr's xprss writtn prmission. Howvr, usrs my print, ownlo, or mil rtils or iniviul us.

Constructive Geometric Constraint Solving

Constructive Geometric Constraint Solving Construtiv Gomtri Constrint Solving Antoni Soto i Rir Dprtmnt Llngutgs i Sistms Inormàtis Univrsitt Politèni Ctluny Brlon, Sptmr 2002 CGCS p.1/37 Prliminris CGCS p.2/37 Gomtri onstrint prolm C 2 D L BC

More information

(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely

(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely . DETERMINANT.. Dtrminnt. Introution:I you think row vtor o mtrix s oorint o vtors in sp, thn th gomtri mning o th rnk o th mtrix is th imnsion o th prlllppi spnn y thm. But w r not only r out th imnsion,

More information

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths. How os it work? Pl vlu o imls rprsnt prts o whol numr or ojt # 0 000 Tns o thousns # 000 # 00 Thousns Hunrs Tns Ons # 0 Diml point st iml pl: ' 0 # 0 on tnth n iml pl: ' 0 # 00 on hunrth r iml pl: ' 0

More information

Present state Next state Q + M N

Present state Next state Q + M N Qustion 1. An M-N lip-lop works s ollows: I MN=00, th nxt stt o th lip lop is 0. I MN=01, th nxt stt o th lip-lop is th sm s th prsnt stt I MN=10, th nxt stt o th lip-lop is th omplmnt o th prsnt stt I

More information

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS C 24 - COMBINATIONAL BUILDING BLOCKS - INVST 3 DCODS AND NCODS FALL 23 AP FLZ To o "wll" on this invstition you must not only t th riht nswrs ut must lso o nt, omplt n onis writups tht mk ovious wht h

More information

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology! Outlin Computr Sin 331, Spnnin, n Surphs Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #30 1 Introution 2 3 Dinition 4 Spnnin 5 6 Mik Joson (Univrsity o Clry) Computr Sin 331 Ltur #30 1 / 20 Mik

More information

CS September 2018

CS September 2018 Loil los Distriut Systms 06. Loil los Assin squn numrs to msss All ooprtin prosss n r on orr o vnts vs. physil los: rport tim o y Assum no ntrl tim sour Eh systm mintins its own lol lo No totl orrin o

More information

THE EFFECT OF SEED AND SOIL APPLIED SYSTEMIC INSECTICIDES ON APHIDS IN SORGHUM. Texas Agricultural Experiment Station, Nueces County, 2000

THE EFFECT OF SEED AND SOIL APPLIED SYSTEMIC INSECTICIDES ON APHIDS IN SORGHUM. Texas Agricultural Experiment Station, Nueces County, 2000 THE EFFECT OF SEED AND SOIL APPLIED SYSTEMIC INSECTICIDES ON APHIDS IN SORGHUM Txs Agriulturl Exprimnt Sttion, Nus County, 2000 Roy D. Prkr Extnsion Entomologist Corpus Cristi, Txs SUMMARY: Grnug, yllow

More information

An undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V

An undirected graph G = (V, E) V a set of vertices E a set of unordered edges (v,w) where v, w in V Unirt Grphs An unirt grph G = (V, E) V st o vrtis E st o unorr gs (v,w) whr v, w in V USE: to mol symmtri rltionships twn ntitis vrtis v n w r jnt i thr is n g (v,w) [or (w,v)] th g (v,w) is inint upon

More information

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management nrl tr T is init st o on or mor nos suh tht thr is on sint no r, ll th root o T, n th rminin nos r prtition into n isjoint susts T, T,, T n, h o whih is tr, n whos roots r, r,, r n, rsptivly, r hilrn o

More information

A PROPOSAL OF FE MODELING OF UNIDIRECTIONAL COMPOSITE CONSIDERING UNCERTAIN MICRO STRUCTURE

A PROPOSAL OF FE MODELING OF UNIDIRECTIONAL COMPOSITE CONSIDERING UNCERTAIN MICRO STRUCTURE 18 TH INTERNATIONAL CONFERENCE ON COMPOSITE MATERIALS A PROPOSAL OF FE MODELING OF UNIDIRECTIONAL COMPOSITE CONSIDERING UNCERTAIN MICRO STRUCTURE Y.Fujit 1*, T. Kurshii 1, H.Ymtsu 1, M. Zo 2 1 Dpt. o Mngmnt

More information

S i m p l i f y i n g A l g e b r a SIMPLIFYING ALGEBRA.

S i m p l i f y i n g A l g e b r a SIMPLIFYING ALGEBRA. S i m p l i y i n g A l g r SIMPLIFYING ALGEBRA www.mthltis.o.nz Simpliying SIMPLIFYING Algr ALGEBRA Algr is mthmtis with mor thn just numrs. Numrs hv ix vlu, ut lgr introus vrils whos vlus n hng. Ths

More information

Planar Upward Drawings

Planar Upward Drawings C.S. 252 Pro. Rorto Tmssi Computtionl Gomtry Sm. II, 1992 1993 Dt: My 3, 1993 Sri: Shmsi Moussvi Plnr Upwr Drwings 1 Thorm: G is yli i n only i it hs upwr rwing. Proo: 1. An upwr rwing is yli. Follow th

More information

with n-butylamine and n-octylamine

with n-butylamine and n-octylamine Originl pprs Prprtion o lnthnum phospht with n-utylmin n n-otylmin # Hiroki Ono, Kiihiro Asi Dprtmnt o Inormtis n Environmntl Sins, Kyoto Prturl Univrsity, 1-5, Shimogmo Nkrgi-yo, Skyo-ku, Kyoto 66-8522,

More information

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas SnNCutCnvs Using th Printl Stikr Funtion On-o--kin stikrs n sily rt y using your inkjt printr n th Dirt Cut untion o th SnNCut mhin. For inormtion on si oprtions o th SnNCutCnvs, rr to th Hlp. To viw th

More information

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018 CSE 373: Mor on grphs; DFS n BFS Mihl L Wnsy, F 14, 2018 1 Wrmup Wrmup: Disuss with your nighor: Rmin your nighor: wht is simpl grph? Suppos w hv simpl, irt grph with x nos. Wht is th mximum numr of gs

More information

Soil water content during and after plant growth influence nutrient availability and microbial biomass

Soil water content during and after plant growth influence nutrient availability and microbial biomass Journl of Soil Sin n Plnt Nutrition, 217, 17 ( 3), 72-715 RESEARCH ARTICLE Soil wtr ontnt uring n ftr plnt growth influn nutrint vilility n miroil iomss Rn Xu 1, 2, Yuying Shn 1, Ptr Mrshnr 2 1 Stt Ky

More information

1 Introduction to Modulo 7 Arithmetic

1 Introduction to Modulo 7 Arithmetic 1 Introution to Moulo 7 Arithmti Bor w try our hn t solvin som hr Moulr KnKns, lt s tk los look t on moulr rithmti, mo 7 rithmti. You ll s in this sminr tht rithmti moulo prim is quit irnt rom th ons w

More information

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review rmup CSE 7: AVL trs rmup: ht is n invrint? Mihl L Friy, Jn 9, 0 ht r th AVL tr invrints, xtly? Disuss with your nighor. AVL Trs: Invrints Intrlu: Exploring th ln invrint Cor i: xtr invrint to BSTs tht

More information

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim's Alorithm Introution Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #33 3 Alorithm Gnrl Constrution Mik Joson (Univrsity o Clry)

More information

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura Moul grph.py CS 231 Nomi Nishimur 1 Introution Just lik th Python list n th Python itionry provi wys of storing, ssing, n moifying t, grph n viw s wy of storing, ssing, n moifying t. Bus Python os not

More information

Changes of CO 2 emission and labile organic carbon as influenced by rice straw and different water regimes

Changes of CO 2 emission and labile organic carbon as influenced by rice straw and different water regimes Int. J. Environ. Si. Thnol. (2015) 12:263 274 DOI 10.1007/s13762-013-0429-3 ORIGINAL PAPER Chngs o CO 2 mission n lil orgni ron s inlun y ri strw n irnt wtr rgims M. Irhim C.-G. Co M. Zhn C.-F. Li J. Iql

More information

C-201 Sheet Bar Measures 1 inch

C-201 Sheet Bar Measures 1 inch Janine M. lexander, P.. P.. No. 9, L 0 N. PRK RO, SUIT 0 HOLLYWOO, LORI 0 PHON: (9) - X: (9) 08- No.: 9 I ST SRIPTION Y GT VLVS SHLL RSILINT ST, MNUTUR TO MT OR X TH RQUIRMNTS O WW 09 (LTST RVISION) N

More information

TURFGRASS DISEASE RESEARCH REPORT J. M. Vargas, Jr. and R. Detweiler Department of Botany and Plant Pathology Michigan State University

TURFGRASS DISEASE RESEARCH REPORT J. M. Vargas, Jr. and R. Detweiler Department of Botany and Plant Pathology Michigan State University I TURFGRASS DISEASE RESEARCH REPORT 9 J. M. Vrgs, Jr. n R. Dtwilr Dprtmnt f Btny n Plnt Pthlgy Mihign Stt Univrsity. Snw Ml Th 9 snw ml fungii vlutin trils wr nut t th Byn Highln Rsrt, Hrr Springs, Mihign

More information

Outline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs

Outline. Computer Science 331. Computation of Min-Cost Spanning Trees. Costs of Spanning Trees in Weighted Graphs Outlin Computr Sin 33 Computtion o Minimum-Cost Spnnin Trs Prim s Mik Joson Dprtmnt o Computr Sin Univrsity o Clry Ltur #34 Introution Min-Cost Spnnin Trs 3 Gnrl Constrution 4 5 Trmintion n Eiiny 6 Aitionl

More information

EE1000 Project 4 Digital Volt Meter

EE1000 Project 4 Digital Volt Meter Ovrviw EE1000 Projt 4 Diitl Volt Mtr In this projt, w mk vi tht n msur volts in th rn o 0 to 4 Volts with on iit o ury. Th input is n nlo volt n th output is sinl 7-smnt iit tht tlls us wht tht input s

More information

CORRELATION ANALYSIS OF NUTRIENTS, ENZYMES, AND MICROBIAL BIOMASS IN SOILS WITH PHENOLICS OF Artemisia annua L.

CORRELATION ANALYSIS OF NUTRIENTS, ENZYMES, AND MICROBIAL BIOMASS IN SOILS WITH PHENOLICS OF Artemisia annua L. Pk. J. Agri. Si., Vol. 56(1), 171-178; 219 ISSN (Print) 552-934, ISSN (Onlin) 276-96 DOI:1.21162/PAKJAS/19.565 http://www.pkjs.om.pk CORRELATION ANALYSIS OF NUTRIENTS, ENZYMES, AND MICROBIAL BIOMASS IN

More information

DETAIL B DETAIL A 7 8 APPLY PRODUCT ID LABEL SB838XXXX ADJ FOUR POST RACK SQUARE HOLE RAIL B REVISION

DETAIL B DETAIL A 7 8 APPLY PRODUCT ID LABEL SB838XXXX ADJ FOUR POST RACK SQUARE HOLE RAIL B REVISION RVISION RV SRIPTION Y T HNG NO NOT OR PROUT LL JJH // LR TIL PPLY PROUT I LL TIL INSI UPPR ROSS MMR ON PR RK IS J OUR POST RK SQUR HOL RIL IS MN MS G NUT, PNL RNG 99 PPLY PROUT I LL INSI UPPR ROSS MMR

More information

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion

More information

The University of Sydney MATH2969/2069. Graph Theory Tutorial 5 (Week 12) Solutions 2008

The University of Sydney MATH2969/2069. Graph Theory Tutorial 5 (Week 12) Solutions 2008 Th Univrsity o Syny MATH2969/2069 Grph Thory Tutoril 5 (Wk 12) Solutions 2008 1. (i) Lt G th isonnt plnr grph shown. Drw its ul G, n th ul o th ul (G ). (ii) Show tht i G is isonnt plnr grph, thn G is

More information

EXAMPLE 87.5" APPROVAL SHEET APPROVED BY /150HP DUAL VFD CONTROL ASSEMBLY CUSTOMER NAME: CAL POLY SLO FINISH: F 20

EXAMPLE 87.5 APPROVAL SHEET APPROVED BY /150HP DUAL VFD CONTROL ASSEMBLY CUSTOMER NAME: CAL POLY SLO FINISH: F 20 XMPL XMPL RVISIONS ZON RV. SRIPTION T PPROV 0.00 THIS IS N PPROVL RWING OR YOUR ORR. OR MNUTURING N GIN, THIS RWING MUST SIGN N RTURN TO MOTION INUSTRIS. NY HNGS M TO THIS RWING, TR MNUTURING HS GUN WILL

More information

12. Traffic engineering

12. Traffic engineering lt2.ppt S-38. Introution to Tltrffi Thory Spring 200 2 Topology Pths A tlommunition ntwork onsists of nos n links Lt N not th st of nos in with n Lt J not th st of nos in with j N = {,,,,} J = {,2,3,,2}

More information

Nefertiti. Echoes of. Regal components evoke visions of the past MULTIPLE STITCHES. designed by Helena Tang-Lim

Nefertiti. Echoes of. Regal components evoke visions of the past MULTIPLE STITCHES. designed by Helena Tang-Lim MULTIPLE STITCHES Nrtiti Ehos o Rgl omponnts vok visions o th pst sign y Hln Tng-Lim Us vrity o stiths to rt this rgl yt wrl sign. Prt sping llows squr s to mk roun omponnts tht rp utiully. FCT-SC-030617-07

More information

COMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS

COMPLEXITY OF COUNTING PLANAR TILINGS BY TWO BARS OMPLXITY O OUNTING PLNR TILINGS Y TWO RS KYL MYR strt. W show tht th prolm o trmining th numr o wys o tiling plnr igur with horizontl n vrtil r is #P-omplt. W uil o o th rsults o uquir, Nivt, Rmil, n Roson

More information

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S.

Page 1. Question 19.1b Electric Charge II Question 19.2a Conductors I. ConcepTest Clicker Questions Chapter 19. Physics, 4 th Edition James S. ConTst Clikr ustions Chtr 19 Physis, 4 th Eition Jms S. Wlkr ustion 19.1 Two hrg blls r rlling h othr s thy hng from th iling. Wht n you sy bout thir hrgs? Eltri Chrg I on is ositiv, th othr is ngtiv both

More information

Dinitrogen fixation and residue nitrogen of different managed legumes and nitrogen uptake of subsequent winter wheat

Dinitrogen fixation and residue nitrogen of different managed legumes and nitrogen uptake of subsequent winter wheat Dinitrogn fixtion n rsiu nitrogn of iffrnt mng lgums n nitrogn uptk of susqunt wintr wht R. Logs 1, A. Ksk 2 n F. Tu 2 1 Dprtmnt of Orgni Frming, Univrsity of Kil, 2 Dprtmnt of Grss n Forg Sin, Univrsity

More information

DEVELOPING COMPUTER PROGRAM FOR COMPUTING EIGENPAIRS OF 2 2 MATRICES AND 3 3 UPPER TRIANGULAR MATRICES USING THE SIMPLE ALGORITHM

DEVELOPING COMPUTER PROGRAM FOR COMPUTING EIGENPAIRS OF 2 2 MATRICES AND 3 3 UPPER TRIANGULAR MATRICES USING THE SIMPLE ALGORITHM Fr Est Journl o Mthtil Sins (FJMS) Volu 6 Nur Pgs 8- Pulish Onlin: Sptr This ppr is vill onlin t http://pphjo/journls/jsht Pushp Pulishing Hous DEVELOPING COMPUTER PROGRAM FOR COMPUTING EIGENPAIRS OF MATRICES

More information

DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski

DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Leslie Rogalski Dut with Dimons Brlt DUET WITH DIAMONDS COLOR SHIFTING BRACELET By Lsli Roglski Photo y Anrw Wirth Supruo DUETS TM from BSmith rt olor shifting fft tht mks your work tk on lif of its own s you mov! This

More information

Tangram Fractions Overview: Students will analyze standard and nonstandard

Tangram Fractions Overview: Students will analyze standard and nonstandard ACTIVITY 1 Mtrils: Stunt opis o tnrm mstrs trnsprnis o tnrm mstrs sissors PROCEDURE Skills: Dsriin n nmin polyons Stuyin onrun Comprin rtions Tnrm Frtions Ovrviw: Stunts will nlyz stnr n nonstnr tnrms

More information

Garnir Polynomial and their Properties

Garnir Polynomial and their Properties Univrsity of Cliforni, Dvis Dprtmnt of Mthmtis Grnir Polynomil n thir Proprtis Author: Yu Wng Suprvisor: Prof. Gorsky Eugny My 8, 07 Grnir Polynomil n thir Proprtis Yu Wng mil: uywng@uvis.u. In this ppr,

More information

Seven-Segment Display Driver

Seven-Segment Display Driver 7-Smnt Disply Drivr, Ron s in 7-Smnt Disply Drivr, Ron s in Prolm 62. 00 0 0 00 0000 000 00 000 0 000 00 0 00 00 0 0 0 000 00 0 00 BCD Diits in inry Dsin Drivr Loi 4 inputs, 7 outputs 7 mps, h with 6 on

More information

Module 2 Motion Instructions

Module 2 Motion Instructions Moul 2 Motion Instrutions CAUTION: Bor you strt this xprimnt, unrstn tht you r xpt to ollow irtions EXPLICITLY! Tk your tim n r th irtions or h stp n or h prt o th xprimnt. You will rquir to ntr t in prtiulr

More information

b. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s?

b. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s? MATH 3012 Finl Exm, My 4, 2006, WTT Stunt Nm n ID Numr 1. All our prts o this prolm r onrn with trnry strings o lngth n, i.., wors o lngth n with lttrs rom th lpht {0, 1, 2}.. How mny trnry wors o lngth

More information

Exam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013

Exam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013 CS Avn Dt Struturs n Algorithms Exm Solution Jon Turnr //. ( points) Suppos you r givn grph G=(V,E) with g wights w() n minimum spnning tr T o G. Now, suppos nw g {u,v} is to G. Dsri (in wors) mtho or

More information

Chem 104A, Fall 2016, Midterm 1 Key

Chem 104A, Fall 2016, Midterm 1 Key hm 104A, ll 2016, Mitrm 1 Ky 1) onstruct microstt tl for p 4 configurtion. Pls numrt th ms n ml for ch lctron in ch microstt in th tl. (Us th formt ml m s. Tht is spin -½ lctron in n s oritl woul writtn

More information

Effect of some Sources and Rates of Nitrogen Fertilization on Growth and Leaf Mineral Content of Young Trees of Wonderful, Pomegranate

Effect of some Sources and Rates of Nitrogen Fertilization on Growth and Leaf Mineral Content of Young Trees of Wonderful, Pomegranate Mil Est Journl o griultur Rsrh Volum: 04 Issu: 04 Ot.-D. 2015 Pgs :879-886 Et o som n Rts o Nitrogn Frtiliztion on Growth n L Minrl ontnt o Young Trs o Wonrul, Pomgrnt 1 Rmy M.., 2 N. -lhmi, 2 Noh Mnsour

More information

Algorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph

Algorithmic and NP-Completeness Aspects of a Total Lict Domination Number of a Graph Intrntionl J.Mth. Comin. Vol.1(2014), 80-86 Algorithmi n NP-Compltnss Aspts of Totl Lit Domintion Numr of Grph Girish.V.R. (PES Institut of Thnology(South Cmpus), Bnglor, Krntk Stt, Ini) P.Ush (Dprtmnt

More information

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1. Why th Juntion Tr lgorithm? Th Juntion Tr lgorithm hris Willims 1 Shool of Informtis, Univrsity of Einurgh Otor 2009 Th JT is gnrl-purpos lgorithm for omputing (onitionl) mrginls on grphs. It os this y

More information

Meta-analysis the effect of nitrogen fertilizer on quantitative and qualitative characteristics of sugar beet

Meta-analysis the effect of nitrogen fertilizer on quantitative and qualitative characteristics of sugar beet ISSN No. (Print): 7-3 ISSN No. (Onlin): 224-323 Mt-nlysis th fft of nitrogn frtilizr on quntittiv n qulittiv hrtristis of sugr t Mhi Sghi-Sho*, Driush Fthollh Tlghni* n Frz Pknj* *Sugr Bt S Institut (SBSI),

More information

BASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY

BASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SI TIS SOWN OS TOP SPRIN INRS INNR W TS R OIN OVR S N OVR OR RIIITY. R IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+) TRNSIVR. R. RR S OPTION (S T ON ST ) TURS US WIT OPTION T SINS. R (INSI TO

More information

BASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP

BASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP MO: PSM SY SI TIS SOWN SPRIN INRS OS TOP INNR W TS R OIN OVR S N OVR OR RIIITY. R TURS US WIT OPTION T SINS. R (UNOMPRSS) RR S OPTION (S T ON ST ) IMNSIONS O INNR SIN TO UNTION WIT QU SM ORM-TOR (zqsp+)

More information

Effects of long-term use of different farming systems on some physical, chemical and microbiological parameters of soil quality**

Effects of long-term use of different farming systems on some physical, chemical and microbiological parameters of soil quality** Int. Agrophys., 216, 3, 165-172 oi: 1.1515/intg-215-81 Effts of long-trm us of iffrnt frming systms on som physil, hmil n miroiologil prmtrs of soil qulity** Ann M. Gj 1 *, Ew A. Czyż 3, n Anthony R. Dxtr

More information

Designing A Concrete Arch Bridge

Designing A Concrete Arch Bridge This is th mous Shwnh ri in Switzrln, sin y Rort Millrt in 1933. It spns 37.4 mtrs (122 t) n ws sin usin th sm rphil mths tht will monstrt in this lsson. To pro with this lsson, lik on th Nxt utton hr

More information

Changes in resource allocation among vegetative organs during the clonal growth of Polygonatum humile (Liliaceae) grown in a temperate forest gap

Changes in resource allocation among vegetative organs during the clonal growth of Polygonatum humile (Liliaceae) grown in a temperate forest gap Min Journl o Eology n Environmnt (17) 41:3 DOI 1.1186/s4161-17-47-y Journl o Eology n Environmnt RESEARCH Opn Ass Chngs in rsour llotion mong vgttiv orgns uring th lonl growth o Polygontum humil (Lili)

More information

Ashoka Sarker, Abul Kashem* and Khan Towhid Osman. Department of Soil Science, University of Chittagong, Chittagong 4331, Bangladesh.

Ashoka Sarker, Abul Kashem* and Khan Towhid Osman. Department of Soil Science, University of Chittagong, Chittagong 4331, Bangladesh. Intrntionl Journl of Agriulturl Sins ISSN: 2167-0447 Vol. 2 (12), pp. 315-321, Dmr, 2012. Avill onlin t www.intrntionlsholrsjournls.org Intrntionl Sholrs Journls Full Lngth Rsrh Ppr Influn of ity finish

More information

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes. Nm: UCA ID Numr: Stion lttr: th 61 : Disrt Struturs Finl Exm Instrutor: Ciprin nolsu You hv 180 minuts. No ooks, nots or lultors r llow. Do not us your own srth ppr. 1. (2 points h) Tru/Fls: Cirl th right

More information

A B C D E F G G. Figure to support Supplementary Data Table 4 Textures of opaque minerals DR (1) 50 m (1) 50 m (5) 50 m

A B C D E F G G. Figure to support Supplementary Data Table 4 Textures of opaque minerals DR (1) 50 m (1) 50 m (5) 50 m DR 2009217 A B C A B C 2-002(1) 50 m 10-001(1) 50 m 10-001(5) 50 m D D E F g 10-006(1) 500 m 10-006(2) 100 m 10-006(3) 100 m G G I J 10-007(1) J 50 m 64-002(1) 500 m K L J j g l h < < m g i 64-002(3) o

More information

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES EZ SERVO EZSV17 WIRING DIAGRAM FOR BLDC MOTOR

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES EZ SERVO EZSV17 WIRING DIAGRAM FOR BLDC MOTOR 0V TO 0V SUPPLY GROUN +0V TO +0V RS85 ONVRTR 9 TO OM PORT ON P TO P OM PORT US 9600 U 8IT, NO PRITY, STOP, NO FLOW TRL. OPTO SNSOR # GROUN +0V TO +0V GROUN RS85 RS85 OPTO SNSOR # PHOTO TRNSISTOR TO OTHR

More information

Antioxidant enzymes and physiological traits of Vicia faba L. as affected by salicylic acid under salt stress

Antioxidant enzymes and physiological traits of Vicia faba L. as affected by salicylic acid under salt stress Journl of Mtrils n Environmntl Sins ISSN : 8-58 Copyright 17, Univrsity of Mohmm 1r Ouj Moroo JMES, 17 Volum 8, Issu 7, Pg 59-563 http://www.jmtrnvironsi.om / Antioxint nzyms n physiologil trits of Vii

More information

CS 241 Analysis of Algorithms

CS 241 Analysis of Algorithms CS 241 Anlysis o Algorithms Prossor Eri Aron Ltur T Th 9:00m Ltur Mting Lotion: OLB 205 Businss HW6 u lry HW7 out tr Thnksgiving Ring: Ch. 22.1-22.3 1 Grphs (S S. B.4) Grphs ommonly rprsnt onntions mong

More information

Above. Below H&E. Above CD4. CD11b. Fluoromyelin BDA BDA BDA. Cerebral cortex. Focal lesion. Thoracic cord. Lumbar cord. Hindlimb placing score

Above. Below H&E. Above CD4. CD11b. Fluoromyelin BDA BDA BDA. Cerebral cortex. Focal lesion. Thoracic cord. Lumbar cord. Hindlimb placing score 1. 1. 1 1 3 Tim tr lsion inution () wks wks 3 1 1 1 3 Tim tr lsion inution () i Ltrl sor. Mil Aov Blow.. 1 wk On sgmnt ov g 3. Lsion Fluoromylin Fluoromylin h CD11 Hinlim pling sor CD Aov Blow Fol lsion

More information

Multipoint Alternate Marking method for passive and hybrid performance monitoring

Multipoint Alternate Marking method for passive and hybrid performance monitoring Multipoint Altrnt Mrkin mtho or pssiv n hyri prormn monitorin rt-iool-ippm-multipoint-lt-mrk-00 Pru, Jul 2017, IETF 99 Giuspp Fiool (Tlom Itli) Muro Coilio (Tlom Itli) Amo Spio (Politnio i Torino) Riro

More information

0.1. Exercise 1: the distances between four points in a graph

0.1. Exercise 1: the distances between four points in a graph Mth 707 Spring 2017 (Drij Grinrg): mitrm 3 pg 1 Mth 707 Spring 2017 (Drij Grinrg): mitrm 3 u: W, 3 My 2017, in lss or y mil (grinr@umn.u) or lss S th wsit or rlvnt mtril. Rsults provn in th nots, or in

More information

learning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms

learning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms rp loritms lrnin ojtivs loritms your sotwr systm sotwr rwr lrn wt rps r in mtmtil trms lrn ow to rprsnt rps in omputrs lrn out typil rp loritms wy rps? intuitivly, rp is orm y vrtis n s twn vrtis rps r

More information

DOI: 10.1038/n3296 Supplmntry Figur 1 PN2 PN5 Exprssion o Tt trnsripts uring mryos vlopmnt. x3 x7 x9 x4 2lls 4lls Blstoyst 5C 5C 5C 5C x3 x1 x4 Mrg (5C/5C, PI) x6 x9 x8 x10 100 ng ntioy C ntioy C 200ng

More information

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs.

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs. Pths.. Eulr n Hmilton Pths.. Pth D. A pth rom s to t is squn o gs {x 0, x 1 }, {x 1, x 2 },... {x n 1, x n }, whr x 0 = s, n x n = t. D. Th lngth o pth is th numr o gs in it. {, } {, } {, } {, } {, } {,

More information

LIVING/DINING 23'-6" x 13'-1" W/D M&E METER CLOSET OPT. PANTRY W/D. LIVING/DINING 23'-6" x 13'-1" ROOF TOP TERRACE AREA SQ. FT.

LIVING/DINING 23'-6 x 13'-1 W/D M&E METER CLOSET OPT. PANTRY W/D. LIVING/DINING 23'-6 x 13'-1 ROOF TOP TERRACE AREA SQ. FT. NTRY NTRY '-3" x 8'-0" '-3" x 8'-0" ###### x 8'-3" / 23'-" x 3'-" NTRY NTRY 3'-" x 7'-0" 9'-7" x 9'-7" '-0" x '-9" RKST NOOK 9'-0" x '-" 0 0 0 LVTIONS N TILS ON 9 SRIS. SHUL N TILS ON 9 SRIS. '-3" x 8'-0"

More information

CS 461, Lecture 17. Today s Outline. Example Run

CS 461, Lecture 17. Today s Outline. Example Run Prim s Algorithm CS 461, Ltur 17 Jr Si Univrsity o Nw Mxio In Prim s lgorithm, th st A mintin y th lgorithm orms singl tr. Th tr strts rom n ritrry root vrtx n grows until it spns ll th vrtis in V At h

More information

Problem solving by search

Problem solving by search Prolm solving y srh Tomáš voo Dprtmnt o Cyrntis, Vision or Roots n Autonomous ystms Mrh 5, 208 / 3 Outlin rh prolm. tt sp grphs. rh trs. trtgis, whih tr rnhs to hoos? trtgy/algorithm proprtis? Progrmming

More information

Graphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1

Graphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1 CSC 00 Disrt Struturs : Introuon to Grph Thory Grphs Grphs CSC 00 Disrt Struturs Villnov Univrsity Grphs r isrt struturs onsisng o vrs n gs tht onnt ths vrs. Grphs n us to mol: omputr systms/ntworks mthml

More information

Pre-concentration of some heavy metal ions with AlO HQ and AlO PHQ and their studies by FTIR and spectroscopy

Pre-concentration of some heavy metal ions with AlO HQ and AlO PHQ and their studies by FTIR and spectroscopy Arin Journl o Chmistry (5) 8, 44 449 King Su Univrsity Arin Journl o Chmistry www.ksu.u.s www.sinirt.om REVIEW ARTICLE Pr-onntrtion o som hvy mtl ions with AlO HQ n AlO PHQ n thir stuis y FTIR n sptrosopy

More information

Decimals DECIMALS.

Decimals DECIMALS. Dimls DECIMALS www.mthltis.o.uk ow os it work? Solutions Dimls P qustions Pl vlu o imls 0 000 00 000 0 000 00 0 000 00 0 000 00 0 000 tnths or 0 thousnths or 000 hunrths or 00 hunrths or 00 0 tn thousnths

More information

Binomials and Pascal s Triangle

Binomials and Pascal s Triangle Binomils n Psl s Tringl Binomils n Psl s Tringl Curriulum R AC: 0, 0, 08 ACS: 00 www.mthltis.om Binomils n Psl s Tringl Bsis 0. Intif th prts of th polnomil: 8. (i) Th gr. Th gr is. (Sin is th highst

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

24CKT POLARIZATION OPTIONS SHOWN BELOW ARE REPRESENTATIVE FOR 16 AND 20CKT

24CKT POLARIZATION OPTIONS SHOWN BELOW ARE REPRESENTATIVE FOR 16 AND 20CKT 0 NOTS: VI UNSS OTRWIS SPII IRUIT SMT USR R PORIZTION OPTION IRUIT SMT USR R PORIZTION OPTION IRUIT SMT USR R PORIZTION OPTION. NR: a. PPITION SPIITION S: S--00 b. PROUT SPIITION S: PS--00 c. PIN SPIITION

More information

Journal of Integrative Agriculture 2017, 16(0): Available online at ScienceDirect

Journal of Integrative Agriculture 2017, 16(0): Available online at  ScienceDirect Journl o Intgrtiv Agriultur 2017, 16(0): 60345-7 Avill onlin t www.sinirt.om SinDirt RESEARCH ARTICLE Grin yil n wtr us iiny o supr ri unr soil wtr iit n ltrnt wtting n rying irrigtion ZHOU Qun 1, JU Chng-xin

More information

ph controlled assembly of a polybutadiene poly(methacrylic acid) copolymer in water: packing considerations and kinetic limitations

ph controlled assembly of a polybutadiene poly(methacrylic acid) copolymer in water: packing considerations and kinetic limitations Supplmtry Mtril (ESI) for Soft Mttr This jourl is Th Royl Soity of hmistry 2009 p otroll ssmly of polyuti poly(mthryli i) opolymr i wtr pkig osirtios kiti limittios hristi Fryhough, Athoy J. Ry, Giuspp

More information

Biddle Consulting Group s Standard AAP Reports

Biddle Consulting Group s Standard AAP Reports Bil Consultin Group s Stnr AAP Rports Th Workor Anlysis is h ount o mploys in ivn Orniztionl Unit, rokn own y nr n til r. It provis n ovrll mploymnt proil n intiis possil rs o isrimintion. Givs th prtmnt

More information

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued... Progrssiv Printing T.M. CPITLS g 4½+ Th sy, fun (n FR!) wy to tch cpitl lttrs. ook : C o - For Kinrgrtn or First Gr (not for pr-school). - Tchs tht cpitl lttrs mk th sm souns s th littl lttrs. - Tchs th

More information

Solutions to Homework 5

Solutions to Homework 5 Solutions to Homwork 5 Pro. Silvia Frnánz Disrt Mathmatis Math 53A, Fall 2008. [3.4 #] (a) Thr ar x olor hois or vrtx an x or ah o th othr thr vrtis. So th hromati polynomial is P (G, x) =x (x ) 3. ()

More information

Analysis for Balloon Modeling Structure based on Graph Theory

Analysis for Balloon Modeling Structure based on Graph Theory Anlysis for lloon Moling Strutur bs on Grph Thory Abstrt Mshiro Ur* Msshi Ym** Mmoru no** Shiny Miyzki** Tkmi Ysu* *Grut Shool of Informtion Sin, Ngoy Univrsity **Shool of Informtion Sin n Thnology, hukyo

More information

Ammonium fixation and release by clay minerals as influenced by potassium

Ammonium fixation and release by clay minerals as influenced by potassium Plnt Soil Environ. Vol. 6, 21, No. 7: 325 331 Ammonium fixtion n rls y ly minrls s influn y potssium H.W. Shrr, E. Fils, P. Butrs Dprtmnt of Plnt Nutrition, Institut of Crop Sin n Rsour Consrvtion, Univrsity

More information

EFFECTS OF SHADING ON SOME MORPHOLOGICAL AND PHYSIOLOGICAL CHARACTERISTICS OF BEGONIA SEMPERFLORENS

EFFECTS OF SHADING ON SOME MORPHOLOGICAL AND PHYSIOLOGICAL CHARACTERISTICS OF BEGONIA SEMPERFLORENS Pk. J. Bot., 5(6): 73-79, 8. EFFECTS OF SHADING ON SOME MORPHOLOGICAL AND PHYSIOLOGICAL CHARACTERISTICS OF BEGONIA SEMPERFLORENS YUANBING ZHANG, AIRONG LIU *, XUEPING ZHANG AND SHOUCHENG HUANG Anhui Sin

More information

CEDAR ISLAND / KEATON BEACH TAYLOR COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY16 4-FOOT PROJECT

CEDAR ISLAND / KEATON BEACH TAYLOR COUNTY, FLORIDA POST-HURRICANE HERMINE EXAMINATION SURVEY FY16 4-FOOT PROJECT 10 9 8 7 6 5 JUG ISLN R KL H R H R ROSMR LN W W HITTIL R JO MORGN R LRW TR RK R L M PNSOL GUL G O R G I TLLHSS JKSONVILL ORLNO OO TMP TLNTI ON N US rmy orps of ngineers Jacksonville istrict ST ON THIS

More information

CSC Design and Analysis of Algorithms. Example: Change-Making Problem

CSC Design and Analysis of Algorithms. Example: Change-Making Problem CSC 801- Dsign n Anlysis of Algorithms Ltur 11 Gry Thniqu Exmpl: Chng-Mking Prolm Givn unlimit mounts of oins of nomintions 1 > > m, giv hng for mount n with th lst numr of oins Exmpl: 1 = 25, 2 =10, =

More information

Effect of Various Treatments on Seed Germination Characteristics of Wild Ziziphus (Ziziphus spina-christi)

Effect of Various Treatments on Seed Germination Characteristics of Wild Ziziphus (Ziziphus spina-christi) Worl Appli Sins Journl 17 (7): 900-904, 12 ISSN 1818-4952 IDOSI Pulitions, 12 Et o Vrious Trtmnts on S Grmintion Chrtristis o Wil Ziziphus (Ziziphus spin-hristi) 1 2 3 Aolhossin Aoutli, Hm Hsnz n Mhi Hossini

More information

Practice Test I Bonding and Geometry Name Per

Practice Test I Bonding and Geometry Name Per Prti Tst Boning n Gomtry Nm Pr This is prti - Do NOT ht yourslf of fining out wht you r pl of oing. B sur you follow th tsting onitions outlin low. DO NOT USE A CALCULATOR. You my us ONLY th lu prioi tl.

More information

RAMS C, 16 GA SLITTER 23

RAMS C, 16 GA SLITTER 23 RMS - 0-, G SLITTR N/ LLS /0/0 SSL UTION LL SRIL No. TG 0 S SHT OR UPPR SSMLY "M IN US" LL S SHT OR KGG SSMLY 0 ITM NO. PRT NUMR SRIPTION QTY. 00X/ " I X /" OR PULLY N/ L-0 V-LT K OR GRIP N/ POWR OR SL-0

More information

Section 3: Antiderivatives of Formulas

Section 3: Antiderivatives of Formulas Chptr Th Intgrl Appli Clculus 96 Sction : Antirivtivs of Formuls Now w cn put th is of rs n ntirivtivs togthr to gt wy of vluting finit intgrls tht is ct n oftn sy. To vlut finit intgrl f(t) t, w cn fin

More information

Photosynthesis and water use efficiency relations to yield of ten pepper varieties (Capsicum annuum L.)

Photosynthesis and water use efficiency relations to yield of ten pepper varieties (Capsicum annuum L.) 89 Bulgrin Journl o Agriulturl Sin, 8 (No ), 89-9 Agriulturl Amy Photosynthsis n wtr us iiny rltions to yil o tn pppr vritis (Cpsium nnuum L.) M. BoriSv *, B. Krsti, D. Gvoznovi n J. Gvoznovi-Vrg Dprtmnt

More information

Effects of Weed Control Methods on the Growth and Yield of Cowpea (Vigna unguiculata (L.) Walp) under Rain-Fed Conditions of Owerri

Effects of Weed Control Methods on the Growth and Yield of Cowpea (Vigna unguiculata (L.) Walp) under Rain-Fed Conditions of Owerri Amrin-Eursin J. Agri. & Environ. Si., 1 (11): 146-1430, 01 ISSN 1818-6769 IDOSI Pulitions, 01 DOI: 10.589/iosi.js.01.1.11.1791 Effts of W Control Mthos on th Growth n Yil of Cowp (Vign unguiult (L.) Wlp)

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This rtil ppr in journl pulish y Elsvir. Th tth opy is furnish to th uthor for intrnl non-ommril rsrh n ution us, inluing for instrution t th uthors institution n shring with ollgus. Othr uss, inluing

More information

SAMPLE PAGES. Primary. Primary Maths Basics Series THE SUBTRACTION BOOK. A progression of subtraction skills. written by Jillian Cockings

SAMPLE PAGES. Primary. Primary Maths Basics Series THE SUBTRACTION BOOK. A progression of subtraction skills. written by Jillian Cockings PAGES Primry Primry Mths Bsis Sris THE SUBTRACTION BOOK A prorssion o sutrtion skills writtn y Jillin Cokins INTRODUCTION This ook is intn to hlp sur th mthmtil onpt o sutrtion in hilrn o ll s. Th mstry

More information

SPATIO-TEMPORAL VARIATIONS IN PHYSIOCHEMICAL ATTRIBUTES OF ADIANTUM CAPILLUS VENERIS FROM SOONE VALLEY OF SALT RANGE (PAKISTAN)

SPATIO-TEMPORAL VARIATIONS IN PHYSIOCHEMICAL ATTRIBUTES OF ADIANTUM CAPILLUS VENERIS FROM SOONE VALLEY OF SALT RANGE (PAKISTAN) Pk. J. Bot., (): 1387-1398, 8. SPATIO-TEMPORAL VARIATIONS IN PHYSIOCHEMICAL ATTRIBUTES OF ADIANTUM CAPILLUS VENERIS FROM SOONE VALLEY OF SALT RANGE (PAKISTAN) IFTIKHAR AHMAD 1, MUMTAZ HUSSAIN 1, MUHAMMAD

More information

TABLE OF CONTENTS ASSEMBLY INSTRUCTIONS SHEET 1 OF 8 TABLE OF CONTENTS PAGE NUMBER DESCRIPTION B 2 PARTS LIST AND LAYOUT 3-5 PARTS A-D DETAIL DRAWINGS

TABLE OF CONTENTS ASSEMBLY INSTRUCTIONS SHEET 1 OF 8 TABLE OF CONTENTS PAGE NUMBER DESCRIPTION B 2 PARTS LIST AND LAYOUT 3-5 PARTS A-D DETAIL DRAWINGS TL O ONTNTS SHT O TL O ONTNTS PG NUMR SRIPTION PRTS LIST N LYOUT - PRTS - TIL RWINGS - STP Y STP SSMLY INSTRUTIONS TH INORMTION ONTIN IN THIS RWING IS TH SOL PROPRTY O STGING IMNSIONS IN. NY RPROUTION

More information

Mode switching in modal domain models of overhead lines and underground cables

Mode switching in modal domain models of overhead lines and underground cables Mo swithing in mol omin mols o ovrh lins n unrgroun ls I. Zltunić, S. Voopij, R. Goić Astrt- This ppr prsnts ri rviw o irnt mthos or lultion o ignvlus n ignvtors or pplition in th mol trnsmission lin thory.

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI:.38/n74 nti-cd63 P lls P CX AP BL lnxin Tsg Wnt5A Evi Apil suprntnt P Co-2 lls % Gol prtils 6 4 2 Wg ntioy unspii ontrol

More information

CSE 373. Graphs 1: Concepts, Depth/Breadth-First Search reading: Weiss Ch. 9. slides created by Marty Stepp

CSE 373. Graphs 1: Concepts, Depth/Breadth-First Search reading: Weiss Ch. 9. slides created by Marty Stepp CSE 373 Grphs 1: Conpts, Dpth/Brth-First Srh ring: Wiss Ch. 9 slis rt y Mrty Stpp http://www.s.wshington.u/373/ Univrsity o Wshington, ll rights rsrv. 1 Wht is grph? 56 Tokyo Sttl Soul 128 16 30 181 140

More information

Outline. Binary Tree

Outline. Binary Tree Outlin Similrity Srh Th Binry Brnh Distn Nikolus Austn nikolus.ustn@s..t Dpt. o Computr Sins Univrsity o Slzur http://rsrh.uni-slzur.t 1 Binry Brnh Distn Binry Rprsnttion o Tr Binry Brnhs Lowr Boun or

More information

QUESTIONS BEGIN HERE!

QUESTIONS BEGIN HERE! Points miss: Stunt's Nm: Totl sor: /100 points Est Tnnss Stt Univrsity Dprtmnt o Computr n Inormtion Sins CSCI 2710 (Trno) Disrt Struturs TEST or Sprin Smstr, 2005 R this or strtin! This tst is los ook

More information