TM Plagiarism Detector. Online Copy. the search for a easy, reliable and simple determination of. a t t e n t i o n o f c o u n t l e s s

Size: px
Start display at page:

Download "TM Plagiarism Detector. Online Copy. the search for a easy, reliable and simple determination of. a t t e n t i o n o f c o u n t l e s s"

Transcription

1 Oriinl Rsr TM Plirism Dttor DO : ttp://oi.or/1.438//38/5/mrn-99 Journl Hom p : «E-mil : itor@.o.in Journl o Environmntl Bioloy TM JEB SSN: (Print) SSN: (Onlin) CODEN: JEBDP Dvlopmntl ynmis in mil omposition urin ruit ripnin o pomrnt Autors no A. Kumr* n P.S. Gill Dprtmnt o Fruit Sin, Pun Ariulturl Univrsity, Luin41 4, ni *Corrsponin Autor Emil : lok-s@pu.u Ky wors Arils ui, Fruit ripnin, Mor mil omposition, Pomrnt, Totl pnolis Pulition no Ppr riv : Rvis riv : R-rvis riv : Apt : Astrt Aim: T prsnt stuy ws unrtkn to invstit t inlun o pomrnt ruit vlopmntl n mturity sts on t mor mil omposition o pomrnt ui to intiy t pproprit tim o mturity o pomrnt v. Mriul. Mtooloy: Frs ruits o it-yr-ol plnts o pomrnt v. 'Mriul' wr pik mnully in t mornin t irnt vlopmnts sts, viz., 3 to 15 DAFB t tn y intrvl. Hrvst ruits wr nlys or pysio-mil nlysis. Rsults: Pomrnt rils ui sow siniint (p<.5) inrs in surs n solul solis ontnt urin ruit vlopmnt. Howvr, titrtl iity n totl pnolis o ril ui rs wit vnmnt o ruit mturity. Tr ws 11.3 tims inrs in Vitmin C ontnt o ui urin ruit vlopmnt, wrs out.38 ol rs in ui iity ws ror. T ruin surs ontnt in ril ui ws out % % o totl surs. Tr ws ovrll pltion o totl pnolis ontnt urin ours o ruit vlopmnt. T rsults rvl tt solul solis ontnt, SSC/TA rtio, ui ph, ruin surs, non-ruin surs, totl surs n Vitmin C o ui ws unnt twn 145 ys tr ull loom (DAFB). Wrs, TA n TP lin n r minimum twn DAFB. SSC/TA rtio sow positiv orrltion wit ph, surs n Vitmin C, ut ntivly orrlt wit TA n TP. T prinipl omponnts nlysis sow tt ull ripn ruit t 145 DAFB ror ir positiv sor lon omponnt 1 n Optimum tim or ruit rvstin o pomrnt Cv. Mriul init optimum tim o ruit rvst. Goo Ariultur Prtis ntrprttion: n rnt yrs, t sr or sy, rlil n simpl trmintion o Pomrnt ruit rvst tr 3 DAFB t 1 y mturtion s mploy t intrvl till omplt ripnin st r. t t n t i o n o o u n t l s s pomrnt rowrs in Pysio-mil ns nlyz su s solul solis ontnts, i r n t p o m r n t titrtl iity, solul solis ontnts/titrtl iity rtio, ph, totl proution rions. T n surs, ruin surs, non-ruin sur, Vitmin C n totl pnolis. in t mil proil o pomrnt rom 3 DAFB to 15 DAFB o rils ui lrly Solul solis ontnts, solul solis ontnts/ titrtl iity rtio, totl sur, ruin sur, non-ruin sur, ph, Vitmin C inrss wit x p l i n t i r r o w t, ripnin o ruits ut titrtl i n totl pnolis rs wit ripnin. vlopmnt n mturity sts. Tis inormtion woul lp pomrnt rowrs to Mturity ssssmnt ss t mturity o 'Mriul' ultivrs o pomrnt. Optimum tim or ruit rvstin ix roun 15 DAFB Trivni Entrpriss, Luknow (ni) Journl o Environmntl Bioloy Sptmr 17 Vol

2 86 A. Kumr n P.S. Gill ntroution Pomrnt ruits r importnt or umn lt us o tir i ntioxint pity n i polypnols n ntoynins ontnt (Gil t l., ). T qulity o pomrnt ruits is stronly pnnt on t ultivrs. T ptility o pomrnt to t onsumr n prossor pns on rt o rtin qulity ttriuts tt r rlt to t pysio-mil proprtis inlusiv o siz, skin olour, sur ontnt, TA n lvour (Al-Si t l., 9). T pomrnt ruit is non-limtri in ntur n t timin o rvst is o t most importn i ruit, itr or immit rs mrkt or or stor, r to r t ustomr in prim onition. Rviw isplys t ts o ultivr vrition, rowin rion n pysio-mil ompositionl sttus o ruits su s ruit siz, ruit wit, ruit olour, ui ontnt, ph o ui, TSS, sori i ontnt o ui n totl pnolis onlu t pomrnt ruit mturity (Al-Minmn n Am, ). n pomrnt ruit, rly rvstin o ruit uss pltion o ornolpti proprtis n rownin o intrnl usk. Wrs, ovr-ripn ruits r susptil to pysioloil isorrs n unl intions urin stor. nqut litrtur is vill on ow ruit pulirity n omponnts rlt to ns in ruit siz in pomrnt v. 'Mriul'. Tr is n inrs onrn out t qulity o ruit urin vlopmnt n proin to rvst im t urtil postrvst vlution. T prsnt stuy im to invstit vlopmntl ynmi in mil proprtis urin vnmnt in ruit rowt o pomrnt in su-tropil onitions. Mtrils n Mtos Smpl olltion : Frs ruits o it yr ol plnts o pomrnt v. 'Mriul' wr pik mnully in t mornin rom Fruit Rsr Frm, Dprtmnt o Fruit Sin, Pun Ariulturl Univrsity, Luin (ni) t irnt Tl 1 : Prson orrltion oiints (r) mon mil inis ssoit urin ruit vlopmnts vlopmnts sts, viz., 3 to 15 DAFB t tn y intrvl. Hrvst ruits wr tn trnsport to lortory in plsti or pysio-mil nlysis. Nin pomrnt ruits smpl n tr rplits wr mintin or nlysis n rplit inlu tr ruits. Cmil ns : Jui o pomrnt rils o nin ruit wr ompltly xtrt y squzin t ril in muslin lot. Collt rs ui ws nlys or irnt mil ompositionl ns. Solul solis ontnt (SSC) wr trmin wit iitl rrtomtr (ATAGO, PAL, Mol 381, Jpn) t room tmprtur, xprss in ºBrix n susqunt orrtions wr m t ºC (AOAC, ). T titrtl iity (TA) ontnt ws trmin y titrtin ui ross.1 N soium yroxi, pplyin pnolptlin s initor n surs ontnt y t mtos o AOAC () n rsults wr xprss in prnt. T ph o ui ws trmin y iitl ph mtr (Eut, Mlysi). Asori i ontnt ws trmin orin to AOAC (5) wit,6- iloro-inopnol titrimtri mto n t rsult wr xprss s m pr 1 ml o ruit ui. Totl pnolis wr trmin in triplits y t Folin-Cioltu (Folin-C.) olorimtri mto (Mkkr, ) n t rsults wr xprss s lli i quivlnts s (GAE) pr litr o pomrnt ui. Sttistil nlysis : T t or nin rplition ws nlyz or nlysis o vrin (ANOVA) n siniint irn mon t mns wr trmin y LSD t p<.5 usin t SAS vrsion 9.3 (SAS nstitut n., Cry, NC, USA). Prson orrltion ws us to invstit t rltionsip twn t slt ttriuts ssoit wit ruits mturity n in orr to in t intr-rltionsip mon t invstit ruit prmtrs 'prinipl omponnt nlysis' (PCA) ws us. Rsults n Disussion A rul n siniint (p<.5) inrs in solul solis ontnts o t ril ui wr tt wit t SSC TA SSC/TA ph Totl Ruin Non-ruin Vitmin C Totl surs surs surs pnolis SSC 1 TA SSC/TA ph Totl surs Ruin surs Non-ruin sur Vitmin C Totl pnolis Siniin t p <.5

3 Fruit vlopmnt in pomrnt 87 () LSD =.51 CV =.6.8 () LSD =.4 CV = 4.9 Solul solis ontnt (ºBrix) Dys tr ull loom Dys tr ull loom Fi. 1 : St prorssion ns in () solul solis ontnt n () titrl iity. Mn ± SE, prsnts t sm lttr(s) on vrtil r init sttistilly non-siniintly irnt ompr to prvious smpl (p<.5) Titrl iity (%). i i vnmnt in ruit mturity (Fi. 1). Durin rly n misson o ruit vlopmnt t SSC inrs siniintly rom 3 DAFB (5.17 ºBrix) to 1 DAFB (1.1 ºBrix), owvr t ltr sts inrmnt in solul solis ontnt ws vry slow. Minimum Solul solis ontnt wr ror t 3 DAFB (5.17 ºBrix) n mximum t 15 DAFB (1.61 ºBrix). Howvr, t rt o n o solul solis ontnt ws mximum rom 3 DAFB (5.17 ºBrix) to 5 DAFB (7.95 ºBrix), n minimum rom 14 DAFB (1.53 ºBrix) to 15 DAFB (1.61 ºBrix). Pomrnt ui ontins itri i, mli i, umri i, trtri i n lti is ut mor i ountin or titrtl iity is itri i (Mlro t l., ). TA ontnt o ril ui ollow rsin trn s t ruit ppro towrs mturity st (Fi. 1). A siniint (p <.5) rs in TA ontnt o ruit ourr twn 3 DAFB

4 88 A. Kumr n P.S. Gill 4 35 () LSD = 1.76 CV = () LSD =. CV =. Solul solis ontnt / Titrl iity l 3 k Dys tr ull loom Dys tr ull loom Fi. 1 : St prorssion ns in () solul solis ontnt / titrl iity n () ui ph. Mn ± SE, prsnts t sm lttr(s) on vrtil r init sttistilly non-siniintly irnt ompr to prvious smpl (p<.5) Jui ph k to 6 DAFB. Susquntly, non-siniint rs in TA twn nt intrvls ws not till 15 DAFB. T mximum TA ontnt ws ror s.76% t rlir st o ruit vlopmnt (3 DAFB) n minimum ws ror s.3% t 15 DAFB. Durin ruit rowt n vlopmnt out.38 ol rss in TA twn 3 DAFB (.76%) to 15 DAFB (.3%) ws noti. Howvr, t rt o n in ui TA ws ror mximum twn 3 DAFB (.76%) to 4 DAFB (.66%) n minimum twn 14 DAFB to 15 DAFB. A siniint inrs in SSC/TA rtio ws ror s ruit prorss towrs t mturity (Fi. 1). T rt o inrs in SSC/TA rtio ws ror mximum rom 8 DAFB (.87) to 9 DAFB (4.7), losly ollow y 9 to 1 DAFB i.., rom 4.7 to 8.56, rsptivly, n t minimum n ws ror rom 14 DAFB (38.) to 15 DAFB (39.5). Drs in t

5 Fruit vlopmnt in pomrnt 89 () LSD =.34 CV = () LSD =.33 CV = Totl sur (%) l k Dys tr ull loom Dys tr ull loom Fi. 1 : St prorssion ns in () totl sur n () ruin sur. Mn ± SE, prsnts t sm lttr(s) on vrtil r init sttistilly non-siniintly irnt ompr to prvious smpl (p<.5) Ruin sur (%) l 4 k ontnt o ui TA wit rul inrs in SSC urin ruit vnmnt my rsult into t lvt TSS/TA rtio. T umnt in SSC in pomrnt oul xplin y t umnttion o xos surs (Sulmn t l., 1984). Similr trn in SSC urin ruit vlopmnt ws lso ror rlir workrs (Boroov-Nori t l., 9 n Zri t l., 11) in pomrnt. A rul rs in TA, onomitnt wit inrs in t SSC n totl surs ontnt is n inrnt pross urin ripnin o pomrnt to imprt t rtristi lvour (Kulkrni n Ary, 5). Prs t l., (1999) rport tt t inrs in SSC/TA rtio in pomrnt ui is u to inrs in sur ontnt in ui n rution in iity wit mturity.

6 81 A. Kumr n P.S. Gill Non-ruin sur (%) () LSD =.14 CV = Dys tr ull loom Vitmin C (m 1 ml ) () LSD =.66 CV = Dys tr ull loom Fi. 1 : St prorssion ns in () non-ruin sur n () Vitmin C. Mn ± SE, prsnts t sm lttr(s) on vrtil r init sttistilly non-siniintly irnt ompr to prvious smpl (p<.5) T ph o ril ui inrs siniintly n ws stti till omplt ril vlopmnt (Fi. 1). T minimum vlu o ui ph ws ror s 3.51 urin 3 DAFB n mximum ws 3.9 t 15 DAFB. T rt o n in ph ws mximum rom 4 DAFB - 5 DAFB n t minimum ws ror twn 14 DAFB n 15 DAFB. Drs in ui TA my v rsult into inrmnt in ui ph trouout t ruit rowt n n, ot t prmtrs wr invrsly orrlt. Tis is in rmnt wit t rsult o Boroov-Nori t l. (9); Zri t l. (11). Howvr, t ui ph o 'Bw' ultivr o pomrnt rs rom rly immtur to rly l-rip st, ut urtr ns wr in siniint until t ull rip st (Fwol n Opr, 13). Fi. 1- rvls tt t totl surs ontnt o ruit ui ontinu to inrs siniintly (p <.5) trouout t

7 Fruit vlopmnt in pomrnt 811 (i) LSD = CV = Srn plot 1 6 Totl pnolis (m GAE L ) Dys tr ull loom Fi. 1 : St prorssion ns in (i) totl pnolis. Mn ± SE, prsnts t sm lttr(s) on vrtil r init sttistilly nonsiniintly irnt ompr to prvious smpl (p<.5) Ein vlu Proportion Vrin xplin Cumultiv Proportion Prinipl omponnts ours o stuy. T lvl o totl surs, ruin sur n nonruin surs ws ror lowst on t irst smplin (4 DAFB) s.7%,.7 % n.61 %, rsptivly n ror ist urin inl smplin (15 DAFB) s 1.8 %, 8.15 % n. %. T rt o n in totl surs n ruin surs ws mximum ror rom 13 DAFB (8.11 % n 6.46 %, rsptivly) to 14 DAFB (9.46 % n 7.54 %, rsptivly). Wrs, t inrs in non-ruin surs ws ist rom Fi. : Sr plot o vrin xplin y tor o prinipl omponnts 1 DAFB (1.18 %) to 13 DAFB (1.57 %), ut ws ror minimum twn 9 DAFB (1.9 %) n 1 DAFB (1.1 %). T prsnt invstition o totl surs inrss urin ruit vn towrs t ripnin, onirms t inins o Lu t l. (), Kulkrni n Ary (5). A rpi inrs in

8 81 A. Kumr n P.S. Gill Componnt (4.413%) 1 Componnt (4.413%) (A) (B) TA Totl pnolis 1 3 Componnt sors 4 Componnt pttrn totl surs in pomrnt rom immtur to rly l-rip st ws u to intns ruit xpnsion urin mturity sts ollow y omprtiv ly, ut siniint rtion o surs until ull-ripnin st (Fwol n Opr, 13). 1 Componnt 1 (93.47%) Non-ruin surs Totl surs Ruin surs P SSC/TA Vit. C Componnt1 (93.47%) SSC Fi. 3 : Prinipl omponnt nlysis o t irst two tors (F1 n F) sowin isprsion o 'Mriul' pomrnt ruit ultivr s on t msur prmtrs t ruit mturity sts; omponnts pttrn (A) n omponnt sor (B) A siniint inrs in Vitmin C ontnt o ril ui ws lim urin t ruit vlopmnt o pomrnt ruit (Fi. 1). Vitmin C ontnt o ui inrs srply rom 5.93 m 1 ml (4 DAFB) to 67.7 m 1 ml (15 DAFB). Tr ws slow inrs in Vitmin C rom 4 DAFB (5.93 m 1 ml to 7 DAFB (9.6 m 1 ml ) trwr sun n siniint (p <.5) inrs in Vitmin C rom 7 DAFB (9.6 m 1 ml ) to 1 DAFB (63.33 m 1 ml ) ws not. Ovrll, 11.3 tims inrs in Vitmin C ontnt o ril ui ws not urin ruit vlopmnt. A similr trn in inrs in Vitmin C ontnt ws rport y Swrtz t l. (9) in pomrnt v. Wonrul. Howvr, Vitmin C ontnt rs urin ruit vnmnt towr mturity (Kulkrni n Ary, 5) or Gns ultivr, Al-Mimn n Am () or Tii ultivr n Zri t l. (11) in R--Frs ultivr o pomrnt, rsptivly. Pomrnt ui is ri in pnoli ompouns wi v synristis n itiv ts on its prmoloil tivitis (Srm t l., 5). Totl pnolis ontnt o t ril ui ollow rsin trn s t pomrnt ruit ppro mturity st (Fi. 1i). T ist totl pnolis ontnt in ril ui ws ror t rly immtur st (4 DAFB, 9.57 m GAE/L), ut lst ror t 14 DAFB ( m GAE/L). Ovrll, pltion in totl pnolis ws 7.98% urin ruit vlopmnt. A ir rt o pltion in totl pnolis ws ror twn 6 DAFB ( m GAE/L) n 7 DAFB (19.48 m GAE/L) wrs minimum ror twn 1 DAFB (85.74 m GAE/L) to 11 DAFB (815.5 m GAE/L). T loss o strinny is on o t sirl ns tt our urin mturtion n ripnin o pomrnt n is primrily u to rs in pnoli ompouns urin ruit mturtion (Kulkrni n Ary, 5; Swrtz t l. 9; L t l., 1). Rution in TP ontnt in t prsnt stuy is similr t inin o Wrkkoy t l. (1), wr ru totl pnolis ws ror in Wonrul pomrnt ultivr urin t rly sson. Prson orrltion ws us to invstit t rltionsip twn slt ttriuts ssoit wit ruit mturity (Tl 1) o t pomrnt. Solul soli ontnt sow siniint n positiv orrltion wit SSC/TA (r =.95), ph (r =.93), totl surs (r =.873), ruin surs (r =.888) n Vitmin C (r =.86). Also, SSC orrlt ntivly stron wit TP (r = -.969), tis rltionsip rlt t orrltions o TA twn SSC/TA (r = -.987), ph (r = -.981), totl surs (r = -.99), ruin surs (r = -.937), non-ruin surs (r = -.865) n Vitmin C (r = -.95) xpt TP (r =.96). Tis urtr sust tt SSC/TA ws positivly orrlt wit ph, surs n Vitmin C ut ntivly orrlt wit totl pnolis. Furtrmor, t rltionsip twn totl sur n totl pnolis ws ntivly orrlt. Prson orrltion oiint (r) mon t slt inis ssoit ruit mturity wr similr to t stuy o Fwol n Opr (13) in pomrnt vs. 'Ruy' n

9 Fruit vlopmnt in pomrnt 813 'Bw', rsptivly. Furtrmor, to ss n xtnsiv viw on t mtoli sit tt xit urin ruit vnmnt, t wol ino st ws sut to Prinipl Componnt Anlysis. T ovrll vriility is intrprt y our tors (F1 - F4), wit t irst two tors o PCA sowin orrltion o % (Fi. ). T irst tor (F1) ws rsponsil or % totl vritions, owvr t son tor (F) luit only 4.41 % o totl vritions, initin tt t mximum vritions in ruit mturity inis ws intrprt y F1 (Fi. 3A). A nrl viw o t PCA sow tt youn ruits ir titrtl i n totl pnolis, wil ully mtur ruits v ir SSC wi is orrlt wit SSC/TA, ph, Vitmin C n surs o ruits ui. Ntiv sors lon F1 orrspon to lt immtur ruits t 8 DAFB. Full mtur ruits i positiv sors lon F1, wil low ntiv sors wr l mtur t 11 DAFB (Fi. 3B). n t prsnt stuy, rs in iity n TP in immtur ruits ws lso rtriz y t sit rom rit to lt, rltin t innin o mturity pross twn 11 DAFB to 13 DAFB. T innin o ripnin pross in t ultivr oul wll sri to ruit t 11 DAFB, wr onsolition o ruit iomil inis sm to t quilirium (Fi. 3A n Fi. 3B). Ts rsults r similr to tos rport y Fwol n Opr (13) wr mturity o 'Bw' pomrnt ruit oul ix roun 165 DAFB wr ruit wr rtriz y intns mil ns in ruit ui. Aknowlmnts W tnk Dr. M..S. Gill, H o t Dprtmnt, Fruit Sin, Pun Ariulturl Univrsity, Luin or is rsourul, innil support n nourmnt in rryin out t rsr. T utors r rtul to Ms. Annu Vrm (Prot Fllow) n Nvp Kur (Prot Fllow) or tir support urin t rsr. Rrns Al-Mimn, S.A. n D. Am: Cns in pysil n mil proprtis urin pomrnt (Puni rntum L.) ruit mturtion. Foo Cm.,76, (). Al-Si, F.A., L.U. Opr n R.A. Al-Yyli: Pysio-mil n txturl qulity ttriuts o pomrnt ultivrs (Puni rntum L.) rown in t Sultnt o Omn. J. Foo En., 9, 1934 (9). A.O.A.C.: Oiil Mtos o Anlysis. Assoition o Oiil Anlytil t Cmist, Bnmin Frnklin Sttion, 15 En., Wsinton DC, USA (). A.O.A.C.: Oiil Mtos o Anlysis. Assoition o Oiil Anlytil t Cmist, Bnmin Frnklin Sttion, 15 En., Wsinton DC, USA (5). Boroov-Nori, H., S. Juinstin, E. Triplr, M. Hrri, A. Grnr,. Somr n D. Holln: Ssonl n ultivr vritions in ntioxint n snsory qulity o pomrnt (Puni rntum L.) ruit. J. Foo Compos. Anl.,, (9). Fwol, O.A. n U.L. Opr: Cns in pysil proprtis, mil n lmntl omposition n ntioxint pity o pomrnt (v. Ruy) ruit t iv mturity sts. Si. Hort., 15, (13). Fwol, O.A. n U.L. Opr: Ets o mturity sttus on iomil ontnt, polypnol omposition n ntioxint pity o pomrnt ruit rils (v. Bw). S. Ar. J. Bot., 85, 3-31 (13). Fwol, O.A. n U.L. Opr: nlun o ruit vlopmntl n mturity sts on mil, pytomil n ntioxint proprtis o pomrnt ui. At Hort., 17, (13). Gil, M.., A.T. Brrn, B.H. Pir, D.M. Holrot n A.A. Kr: Antioxint tivity o pomrnt ui n its rltionsip wit pnoli omposition n prossin. J. Ar. Foo Cm., 48, (). L, M., A. Pn n C. Snz: Antioxint pity n pnoli omposition o ui rom pomrnt stor in rrirtion. ntr. Con. Foo, 48, 88-95(1). Lu, P., P. Mlro, M. Mrtinz n F. Hrnnz: Evolution o surs n orni i ontnt in tr pomrnt ultivrs (Puni rntum L.). Option Mitrrn., 4, 994 (). Kulkrni, A.P. n S.M. Ary: Cmil ns n ntioxint tivity in pomrnt rils urin ruit vlopmnt. Foo Cm., 93, (5). Mkkr, H.P.S.: Quntiition o tnnins in tr oli. A lortory mnul or t FAO/AEA Coorint Rsr Prot on 'us o nulr n rlt tniqus to vlop simpl tnnin ssy or pritin n improvin t sty n iiny o in ruminnts on t tnninirous tr oli'. Joint FAO/AEA Division o Nulr Tniqus in Foo n Ariultur, Vinn, Austri (). Mlro, P., D.M. Slz n F. Arts: Orni is n surs omposition o rvst pomrnt ruits. Eur. Foo Rs. Tnol., 11, 1859 (). Prs, R.N., G.J. Bnkr n B.B. Vsist: Assssmnt o mturity in pomrnt on t sis o pysio-mil rtristi in ri rions. Hry. J. Horti. Si., 8, 69-7 (1999). Srm, N.P., L.S. Ams, S.M. Hnnin, Y. Nilu, Y. Zn, M.G. Nir n D. Hr: n vitro, ntiprolirtiv, poptoti n ntioxint tivitis o punilin, lli i n totl pomrnt tnnin xtrt r nn in t omintion wit otr polypnols s oun in pomrnt ui. J. Nut. Biom., 16, (5). Sulmn, Y., L. Finrstin n S. Lv: Pomrnt ruit vlopmnt n mturtion. J. Hortiul. Si., 59, 65-74(1984). Swrtz, E.,. Glzr,. Br-Y'kov, F. Mtityu,. Br-iln, D. Holln n R. Amir: Cns in mil onstitunts urin t mturtion n ripnin o two ommrilly importnt pomrnt ssions. Foo Cm.,115, (9). Wrkkoy, P., J.. Jolin, M.V. Mri n G. Rors: T t o mturity, sunurn n t pplition o sunsrns on t intrnl n xtrnl qulitis o pomrnt ruit rown in Austrli. Si Hort., 14, (1). Zri, M., M. Azizi n Z. Bsir-Sr: Evlution o pysio-mil rtristis o pomrnt (Puni rntum L.) ruit urin ripnin. Fruits, 66, 11-9(11).

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

d e c b a d c b a d e c b a a c a d c c e b

d e c b a d c b a d e c b a a c a d c c e b FLAT PEYOTE STITCH Bin y mkin stoppr -- sw trou n pull it lon t tr until it is out 6 rom t n. Sw trou t in witout splittin t tr. You soul l to sli it up n own t tr ut it will sty in pl wn lt lon. Evn-Count

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

MAT3707. Tutorial letter 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/201/1/2017

MAT3707. Tutorial letter 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS. Semester 1. Department of Mathematical Sciences MAT3707/201/1/2017 MAT3707/201/1/2017 Tutoril lttr 201/1/2017 DISCRETE MATHEMATICS: COMBINATORICS MAT3707 Smstr 1 Dprtmnt o Mtmtil Sins SOLUTIONS TO ASSIGNMENT 01 BARCODE Din tomorrow. univrsity o sout ri SOLUTIONS TO ASSIGNMENT

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

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

, 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

Grade 7/8 Math Circles March 4/5, Graph Theory I- Solutions

Grade 7/8 Math Circles March 4/5, Graph Theory I- Solutions ulty o Mtmtis Wtrloo, Ontrio N ntr or ution in Mtmtis n omputin r / Mt irls Mr /, 0 rp Tory - Solutions * inits lln qustion. Tr t ollowin wlks on t rp low. or on, stt wtr it is pt? ow o you know? () n

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

The University of Sydney MATH 2009

The University of Sydney MATH 2009 T Unvrsty o Syny MATH 2009 APH THEOY Tutorl 7 Solutons 2004 1. Lt t sonnt plnr rp sown. Drw ts ul, n t ul o t ul ( ). Sow tt s sonnt plnr rp, tn s onnt. Du tt ( ) s not somorp to. ( ) A onnt rp s on n

More information

Math 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4

Math 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4 Mt 166 WIR, Sprin 2012, Bnjmin urisp Mt 166 Wk in Rviw 2 Stions 1.1, 1.2, 1.3, & 1.4 1. S t pproprit rions in Vnn irm tt orrspon to o t ollowin sts. () (B ) B () ( ) B B () (B ) B 1 Mt 166 WIR, Sprin 2012,

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

5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees

5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees /1/018 W usully no strns y ssnn -lnt os to ll rtrs n t lpt (or mpl, 8-t on n ASCII). Howvr, rnt rtrs our wt rnt rquns, w n sv mmory n ru trnsmttl tm y usn vrl-lnt non. T s to ssn sortr os to rtrs tt our

More information

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

Journal of American Science, 2011;7(2)

Journal of American Science, 2011;7(2) Et o som hmils on rowth, ruitin, yil n ruit qulity o "Sury Ai" mno v. Whn, M. T., Hi, S. E., Bssl, M. A. An Qou, E. M. Dprtmnt o hortiultur, Fulty o Ariultur, Suz Cnl Univrsity, Ismili, Eypt. Whn2011@mil.om

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

In which direction do compass needles always align? Why?

In which direction do compass needles always align? Why? AQA Trloy Unt 6.7 Mntsm n Eltromntsm - Hr 1 Complt t p ll: Mnt or s typ o or n t s stronst t t o t mnt. Tr r two typs o mnt pol: n. Wrt wt woul ppn twn t pols n o t mnt ntrtons low: Drw t mnt l lns on

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

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

Efficacy of Different Acaricides Against Acid Lime Mite Schizotetranychus baltazari Rimando, Predatory Mite and Grading of Fruits

Efficacy of Different Acaricides Against Acid Lime Mite Schizotetranychus baltazari Rimando, Predatory Mite and Grading of Fruits Ami Journl o Entomoloy 7 (4): 134-139, 2014 ISSN 1995-8994 IDOSI Pulitions, 2014 DOI: 10.5829/iosi.j.2014.7.4.1115 Eiy o Dirnt Ariis Ainst Ai Lim Mit Shizottrnyhus ltzri Rimno, Prtory Mit n Grin o Fruits

More information

OpenMx Matrices and Operators

OpenMx Matrices and Operators OpnMx Mtris n Oprtors Sr Mln Mtris: t uilin loks Mny typs? Dnots r lmnt mxmtrix( typ= Zro", nrow=, nol=, nm="" ) mxmtrix( typ= Unit", nrow=, nol=, nm="" ) mxmtrix( typ= Int", nrow=, nol=, nm="" ) mxmtrix(

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

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

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

flesh is in the range

flesh is in the range As. J. Foo A-In. 1, 5(6) ), 51-53 Asinn Journl o Foo n Aro-Inustry ISSN 196-3 Avill onlin t www.joi.inoo Rsrh Artil Prprtion n hrtristis o ish ssonin powr Mnt Chijn* Alissr Sujjnn, Somri Pprp n Worwn Pnpipt

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

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

Complete Solutions for MATH 3012 Quiz 2, October 25, 2011, WTT

Complete Solutions for MATH 3012 Quiz 2, October 25, 2011, WTT Complt Solutions or MATH 012 Quiz 2, Otor 25, 2011, WTT Not. T nswrs ivn r r mor omplt tn is xpt on n tul xm. It is intn tt t mor omprnsiv solutions prsnt r will vlul to stunts in stuyin or t inl xm. In

More information

STRUCTURAL GENERAL NOTES

STRUCTURAL GENERAL NOTES UILIN OS: SIN LOS: RUTURL NRL NOTS NRL NOTS: US ROUP: - SSMLY USS INTN OR PRTIIPTION IN OR VIWIN OUTOOR TIVITIS PR MIIN UILIN O STION. SSONL. T UNTION O TIS ILITY IS NOT OR QUIPP OR OUPNY URIN WINTR/ TIN

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

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

QUESTIONS BEGIN HERE!

QUESTIONS BEGIN HERE! Points miss: Stunt's Nm: Totl sor: /100 points Est Tnnss Stt Univrsity Dprtmnt of Computr n Informtion Sins CSCI 710 (Trnoff) Disrt Struturs TEST for Fll Smstr, 00 R this for strtin! This tst is los ook

More information

24.1 Sex-Linked Inheritance. Chapter 24 Chromosomal Basis of Inheritance Sex-Linked Inheritance Sex-Linked Inheritance

24.1 Sex-Linked Inheritance. Chapter 24 Chromosomal Basis of Inheritance Sex-Linked Inheritance Sex-Linked Inheritance ptr 24 romosoml sis o Inritn 24. Sx-Link Inritn Normlly, ot mls n mls v 23 pirs o romosoms 22 pirs r ll utosoms On pir is t sx romosoms Mls r XY mls r XX opyrit T Mrw-Hill ompnis, In. Prmission rquir or

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

16.unified Introduction to Computers and Programming. SOLUTIONS to Examination 4/30/04 9:05am - 10:00am

16.unified Introduction to Computers and Programming. SOLUTIONS to Examination 4/30/04 9:05am - 10:00am 16.unii Introution to Computrs n Prormmin SOLUTIONS to Exmintion /30/0 9:05m - 10:00m Pro. I. Kristin Lunqvist Sprin 00 Grin Stion: Qustion 1 (5) Qustion (15) Qustion 3 (10) Qustion (35) Qustion 5 (10)

More information

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano RIGHT-ANGLE WEAVE Dv mons Mm t look o ts n rlt tt s ptvly p sn y Py Brnkmn Mttlno Dv your mons nto trnls o two or our olors. FCT-SCON0216_BNB66 2012 Klm Pulsn Co. Ts mtrl my not rprou n ny orm wtout prmsson

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

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

Edge-Triggered D Flip-flop. Formal Analysis. Fundamental-Mode Sequential Circuits. D latch: How do flip-flops work?

Edge-Triggered D Flip-flop. Formal Analysis. Fundamental-Mode Sequential Circuits. D latch: How do flip-flops work? E-Trir D Flip-Flop Funamntal-Mo Squntial Ciruits PR A How o lip-lops work? How to analys aviour o lip-lops? R How to sin unamntal-mo iruits? Funamntal mo rstrition - only on input an an at a tim; iruit

More information

7 ACM FOR FRAME 2SET 6 FRAME 2SET 5 ACM FOR MAIN FRAME 2SET 4 MAIN FRAME 2SET 3 POLE ASSLY 1 2 CROWN STRUCTURE ASSLY 1 1 CROWN ASSLY 1

7 ACM FOR FRAME 2SET 6 FRAME 2SET 5 ACM FOR MAIN FRAME 2SET 4 MAIN FRAME 2SET 3 POLE ASSLY 1 2 CROWN STRUCTURE ASSLY 1 1 CROWN ASSLY 1 7 M OR RM 2ST 6 RM 2ST 5 M OR MIN RM 2ST 4 MIN RM 2ST 3 POL SSLY 1 2 ROWN STRUTUR SSLY 1 1 ROWN SSLY 1 SR.NO. SRIPTION QTY. a LL IMNSIONS R IN mm I N MT Pi IOLMI 1'NTION LT. Tm: XPLO VIW OR POL MOUNT MLM

More information

Physicochemical changes during strawberry development in the field compared with those that occur in harvested fruit during storage

Physicochemical changes during strawberry development in the field compared with those that occur in harvested fruit during storage Journl o th Sin o Foo n Agriultur J Si Foo Agri 86:180 190 (2006) DOI: 10.1002/js.2314 Physiohmil hngs uring strwrry vlopmnt in th il ompr with thos tht our in hrvst ruit uring storg M Cili N Nuns, 1 Jry

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

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

Physics 222 Midterm, Form: A

Physics 222 Midterm, Form: A Pysis 222 Mitrm, Form: A Nm: Dt: Hr r som usul onstnts. 1 4πɛ 0 = 9 10 9 Nm 2 /C 2 µ0 4π = 1 10 7 tsl s/c = 1.6 10 19 C Qustions 1 5: A ipol onsistin o two r point-lik prtils wit q = 1 µc, sprt y istn

More information

- ASSEMBLY AND INSTALLATION -

- ASSEMBLY AND INSTALLATION - - SSEMLY ND INSTLLTION - Sliin Door Stm Mot Importnt! Ti rmwork n ml to uit 100 mm ini wll tikn (75 mm tuwork) or 125 mm ini wll tikn (100 mm tuwork) HOWEVER t uppli jm kit i pii to itr 100 mm or 125 mm

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

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

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

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

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

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

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

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

Weighted Graphs. Weighted graphs may be either directed or undirected.

Weighted Graphs. Weighted graphs may be either directed or undirected. 1 In mny ppltons, o rp s n ssot numrl vlu, ll wt. Usully, t wts r nonntv ntrs. Wt rps my tr rt or unrt. T wt o n s otn rrr to s t "ost" o t. In ppltons, t wt my msur o t lnt o rout, t pty o ln, t nry rqur

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

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling.

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling. Cptr 4 4 Intrvl Suln Gry Alortms Sls y Kvn Wyn Copyrt 005 Prson-Ason Wsly All rts rsrv Intrvl Suln Intrvl Suln: Gry Alortms Intrvl suln! Jo strts t s n nss t! Two os omptl ty on't ovrlp! Gol: n mxmum sust

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

Chapter 7 Conformance Checking

Chapter 7 Conformance Checking Cptr 7 Conormn Ckin pro.r.ir. Wil vn r Alst www.prossminin.or Ovrviw Cptr 1 Introution Prt I: Prliminris Cptr 2 Pross Molin n Anlysis Cptr 3 Dt Minin Prt II: From Evnt Los to Pross Mols Cptr 4 Gttin t

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

Self-Adjusting Top Trees

Self-Adjusting Top Trees Th Polm Sl-jsting Top Ts ynmi ts: ol: mintin n n-tx ost tht hngs o tim. link(,w): ts n g twn tis n w. t(,w): lts g (,w). pplition-spii t ssoit with gs n/o tis. ont xmpls: in minimm-wight g in th pth twn

More information

UNCORRECTED SAMPLE PAGES

UNCORRECTED SAMPLE PAGES Numrs n surs Aritmti is t stuy o numrs n oprtions on tm. Tis sort ptr rviws wol numrs, intrs, rtionl numrs n rl numrs, wit prtiulr ttntion to t ritmti o surs n tir pproximtions. Most o tis mtril will milir

More information

CENTER POINT MEDICAL CENTER

CENTER POINT MEDICAL CENTER T TRI WTR / IR RISR S STR SRST I TT, SUIT SRST, RI () X () VUU T I Y R VU, SUIT 00 T, RI 0 () 00 X () RISTRTI UR 000 "/0 STY RR I URT VU RT STY RR, RI () 0 X () 00 "/0 STIR # '" TRV IST TRI UIIS UII S,

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

WORKSHOP 6 BRIDGE TRUSS

WORKSHOP 6 BRIDGE TRUSS WORKSHOP 6 BRIDGE TRUSS WS6-2 Workshop Ojtivs Lrn to msh lin gomtry to gnrt CBAR lmnts Bom fmilir with stting up th CBAR orinttion vtor n stion proprtis Lrn to st up multipl lo ss Lrn to viw th iffrnt

More information

160 SSC Variable Speed Drive (Series C)

160 SSC Variable Speed Drive (Series C) 0 SS Variable Speed rive (Series ) Publication 0-P onfigured rive Package Important User Information Solid state equipment has operational characteristics differing from those of electromechanical equipment.

More information

Designing A Uniformly Loaded Arch Or Cable

Designing A Uniformly Loaded Arch Or Cable Dsinin A Unirmy Ar Or C T pr wit tis ssn, i n t Nxt uttn r r t t tp ny p. Wn yu r n wit tis ssn, i n t Cntnts uttn r r t t tp ny p t rturn t t ist ssns. Tis is t Mx Eyt Bri in Stuttrt, Grmny, sin y Si

More information

University of Uludag, Department of Horticulture, Faculty of Agriculture, Bursa, Turkey

University of Uludag, Department of Horticulture, Faculty of Agriculture, Bursa, Turkey 207 Bulrin Journl o Ariulturl Sin, 18 (No 2) 2012, 207-218 Ariulturl Amy Slt tolrn urin vttiv rowth in ross o tomto n t o ytoplsm in rspons to slt tolrn A. Turhn 1 * n V. Sniz 2 1 Univrsity o Ulu, Dprtmnt

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

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

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e)

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e) POW CSE 36: Dt Struturs Top #10 T Dynm (Equvln) Duo: Unon-y-Sz & Pt Comprsson Wk!! Luk MDowll Summr Qurtr 003 M! ZING Wt s Goo Mz? Mz Construton lortm Gvn: ollton o rooms V Conntons twn t rooms (ntlly

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

Theorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices.

Theorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices. Cptr 11: Trs 11.1 - Introuton to Trs Dnton 1 (Tr). A tr s onnt unrt rp wt no sp ruts. Tor 1. An unrt rp s tr n ony tr s unqu sp pt twn ny two o ts vrts. Dnton 2. A root tr s tr n w on vrtx s n snt s t

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

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

Effect of Some Preharvest Treatments on the Incidence of Waterberry Disorder and on Fruit Quality Characteristics of Thompson Seedless Table Grapes

Effect of Some Preharvest Treatments on the Incidence of Waterberry Disorder and on Fruit Quality Characteristics of Thompson Seedless Table Grapes Amrin-Eursin J. Agri. & Environ. Si., 17 (5): 92-400, 2017 ISSN 1818-6769 IDOSI Pulitions, 2017 DOI: 10.5829/iosi.js.2017.92.400 Et o Som Prhrvst Trtmnts on th Inin o Wtrrry Disorr n on Fruit Qulity Chrtristis

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

Effects of Different Cooking Methods on the Antioxidant Properties of Red Pepper (Capsicum annuum L.)

Effects of Different Cooking Methods on the Antioxidant Properties of Red Pepper (Capsicum annuum L.) Prv Nutr Foo Si Vol 17, p 286~292 (212) http://x.oi.org/1.3746/pn.212.17.4.286 Ets o Dirnt Cooking Mthos on th Antioxint Proprtis o R Pppr (Cpsium nnuum L.) In Guk Hwng 1, Young J Shin 1, Songung L 2,

More information

NOTE: ONLY RIGHT IDLER (CONFIGURATION A) ARM SHOWN IN VIEWS ON THIS PAGE

NOTE: ONLY RIGHT IDLER (CONFIGURATION A) ARM SHOWN IN VIEWS ON THIS PAGE 0 PP PP PP PP PP PP NOT: ONLY RIT ILR (ONIURTION ) RM SOWN IN VIWS ON TIS P ITM SRIPTION MTRIL QTY. IL RM - RIT / RIL LIN TUIN / O (0.0 WLL) ISI RT 0 ROMOLY LINR INS IL RM - LT / RIL LIN TUIN / O (0.0

More information

CMSC 451: Lecture 4 Bridges and 2-Edge Connectivity Thursday, Sep 7, 2017

CMSC 451: Lecture 4 Bridges and 2-Edge Connectivity Thursday, Sep 7, 2017 Rn: Not ovr n or rns. CMSC 451: Ltr 4 Brs n 2-E Conntvty Trsy, Sp 7, 2017 Hr-Orr Grp Conntvty: (T ollown mtrl ppls only to nrt rps!) Lt G = (V, E) n onnt nrt rp. W otn ssm tt or rps r onnt, t somtms t

More information

Screening of Millet (Pennisetum glaucum L.) Varieties for Salt Tolerance in Semi-Arid Soil of Northern Nigeria

Screening of Millet (Pennisetum glaucum L.) Varieties for Salt Tolerance in Semi-Arid Soil of Northern Nigeria Worl Journl o Ariulturl Sins 6 (4): 374-380, 200 ISSN 87-3047 IDOSI Pulitions, 200 Srnin o Millt (Pnnistum luum L.) Vritis or Slt Tolrn in Smi-Ari Soil o Northrn Niri 2 H. Ykuu, A.L. Nl n I.Y. Duj Dprtmnt

More information

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri-

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri- sh Wdsdy 7 gn mult- tú- st Frst Intrt thng X-áud m. ns ní- m-sr-cór- Ps. -qu Ptr - m- Sál- vum m * usqu 1 d fc á-rum sp- m-sr-t- ó- num Gló- r- Fí- l- Sp-rí- : quó-n- m ntr-vé-runt á- n-mm c * m- quó-n-

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

# 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

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

- ASSEMBLY AND INSTALLATION -

- ASSEMBLY AND INSTALLATION - Tr, DIY, ulk Pokt Ctt r kri livr onl n not in to t om. Sliin Door Stm - SSEMLY ND INSTLLTION - Mot Importnt! Ti rmwork n ml to uit 100 mm ini wll tikn (75 mm tuwork) or 125 mm ini wll tikn (100 mm tuwork)

More information

G-001 CHATHAM HARBOR AUNT LYDIA'S COVE CHATHAM ATLANTIC OCEAN INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1" = 500' CANADA

G-001 CHATHAM HARBOR AUNT LYDIA'S COVE CHATHAM ATLANTIC OCEAN INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1 = 500' CANADA TR ISL ROR UST 8 O. R-2,4-3 R-4 IX O VITIO IS STT PL ORPI OORITS POSITIO 27698 4-39'-" 88 69-6'-4."W 278248 4-4'-" 8968 69-6'-4"W 27973 4-4'-2" 88 69-6'-"W W MPSIR OOR UUST PORTL MI OR 27 8-OOT OR L -

More information

G-001 SACO SACO BAY BIDDEFORD INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1" = 1000' CANADA MAINE STATE PLANE GEOGRAPHIC NO.

G-001 SACO SACO BAY BIDDEFORD INDEX OF NAVIGATION AIDS GENERAL NOTES: GENERAL PLAN A6 SCALE: 1 = 1000' CANADA MAINE STATE PLANE GEOGRAPHIC NO. 2 3 6 7 8 9 0 2 3 20000 230000 220000 ST TORY M 8-OOT W ST 2880000 2880000 L ROOK RL OTS: UKI OR TUR RKWTR (TYP) U O ROOK. SOUIS R I T TTS. T RR PL IS M LOWR LOW WTR (MLLW) IS S O T 983-200 TIL PO. SOUIS

More information

Lecture 20: Minimum Spanning Trees (CLRS 23)

Lecture 20: Minimum Spanning Trees (CLRS 23) Ltur 0: Mnmum Spnnn Trs (CLRS 3) Jun, 00 Grps Lst tm w n (wt) rps (unrt/rt) n ntrou s rp voulry (vrtx,, r, pt, onnt omponnts,... ) W lso suss jny lst n jny mtrx rprsntton W wll us jny lst rprsntton unlss

More information

Journal of Solid Mechanics and Materials Engineering

Journal of Solid Mechanics and Materials Engineering n Mtrils Enginring Strss ntnsit tor of n ntrf Crk in Bon Plt unr Uni-Axil Tnsion No-Aki NODA, Yu ZHANG, Xin LAN, Ysushi TAKASE n Kzuhiro ODA Dprtmnt of Mhnil n Control Enginring, Kushu nstitut of Thnolog,

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

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

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

Distributed community detection over dynamic networks using neighborhood similarity

Distributed community detection over dynamic networks using neighborhood similarity ERCIM SNA WG Aloritmi Aspts o Soil Ntwork Anlysis Guillum-Jn Hrit Mr, 11t 2010, UCD, Dulin Distriut ommunity ttion ovr ynmi ntworks usin nioroo similrity Rtionl or tis ppro 2 Rtionl or tis ppro In wirlss

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

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Platform Controls. 1-1 Joystick Controllers. Boom Up/Down Controller Adjustments

Platform Controls. 1-1 Joystick Controllers. Boom Up/Down Controller Adjustments Ston 7 - Rpr Prours Srv Mnul - Son Eton Pltorm Controls 1-1 Joystk Controllrs Mntnn oystk ontrollrs t t propr sttns s ssntl to s mn oprton. Evry oystk ontrollr soul oprt smootly n prov proportonl sp ontrol

More information