EFFECTS OF FLOWERING ON SUCROSE CONTENT AND SUCROSE YIELD IN FIVE SUGARCANE VARIETIES

Size: px
Start display at page:

Download "EFFECTS OF FLOWERING ON SUCROSE CONTENT AND SUCROSE YIELD IN FIVE SUGARCANE VARIETIES"

Transcription

1 EECTS O LOWERING ON SUCROSE CONTENT AND SUCROSE YIELD IN IVE SUGARCANE VARIETIES By K. J. NUSS Suth African Sugar Assciatin Experiment Statin, Munt Edgecmbe 43 Abstract The yield and quality traits f flwered and vegetative stalks were determined frm May t Octber in five sugarcane varieties, and frm September t December in ne ther variety. rm July till Octber mass f sucrse was greater in flwered stalks than in vegetative stalks. The increase in stalk mass and sucrse cntent ccurred mainly in the tp part f the stalk. lwered stalks f variety NIl appeared t deterirate after Octber, prbably because f the absence f side shts. Intrductin lwering has frequently been reprted t reduce yields f sugar in sugarcane. In Barbads in a variety which flwered at the age f eight mnths the flwered stalks weighed less than nn-flwered stalks at the time f harvest (Ra 7 ). Similarly, in Hawaii, flwering was reprted t affect the yield fsucrse ifthe cane flwered in the first year fa tw year crp (Clements, as quted by Mre and Nuss'), Hwever, in variety NC376, flwered stalks were fund t cntain mre sugar than nn-flwered stalks (Gsnell and Lng'). In a detailed investigatin in Mauritius Julien and c-wrkers (Julien et ai V,4) fund flwered stalks t cntain mre sucrse than vegetative stalks fr tip t fur mnths after anthesis, as lng as the flwered stalks had prduced side shts. The increase was due t a greater fresh mass and mre sucrse in -tps f flwered stalks. The effect f flwering n sucrse yield has been little studied in Suth Africa. This paper presents results t shw the effect fflwering n cane yield and quality traits f five varieties sampled frm May t Octber, and fne variety sampled frm September t December. Materials and Methds Trial] ive varieties were included in three replicatins: NC376, the majr cmmercial variety which flwers prfusely n rare ccasins nly; NC3 and N55/5, varieties which flwer freely with little apparent effect n sucrse yield; and N5219 and Nil which flwer prfusely and seemingly lse yield as a result. The plts cnsisted f rws m lng and 1,5 m apart. lwering was prevented in half f each plt by night light breaks ftw hurs, frm 15 ebruary t 3 March in 191. the lights, w incandescent glbes at I m intervals, were suspended between tw cane rws I t 1,2 m abve the canpy. The height abve the canpy was adjusted as the cane grew taller. The cane was sampled n 1 May (ne mnth befre flwer emergence), July, 11 August, 15 September and 11 Octber. On each date twenty stalks were then taken at randm frm a sub plt, 4 rws X 1,5 min size, in the lighted plts (artificial vegetative - AV), and 2 stalks with flwers () and 2 withut flwers (natural vegetative - NV), frm a subplt f the same size in nn-lighted plts. The stalks were divided int the base (, m) and the tp (rest fthe stalk). These samples were then subjected t quality analysis. Trial 2 Variety N II was planted in 192in the field that had been used fr trial 1, with the same design and lighting. Because f a drught the cane was cut back in September 193. In 194, flwering was prevented in the designated plts by switching n the lights at 4h3 till sunrise frm 15 ebruary t 3 March. On 23 September, 22 Octber, 19 Nvember and December samples f 2 flwered () stalks frm nn-lighted plts and f 2 nn-flwered (AV) stalks frm lighted plts were taken fr sucrse analysis. Anther set f 2 stalks frm each treatment was divided int the base (, m) and tp (rest f the stalk). Results and discussin Trial] There was n flwering in the lighted plts. In the nnlighted plts flwering, which ccurred in June, was nt prfuse, with nly 9% fnc376, 31%fNC31O, 23%fN55/ 5,43% fn52/219 and 42% fnil stalks flwering. Table 1 Mean dry matter % cane, fibre % cane and brix values f flwered (), natural vegetative (NV), and artificially induced vegetative (AV) stalks f.five varieties Type f stalk Sampling date 1 May July II Aug 15 Sept Oct Dry matter - 27,2 2,4 29, 29,6 % cane NV 24, 26,4 27, 2,7 29, AV 24,4 27, 27,9 2,4 29, ibre % - 11,3 11,5,3,3 cane NV, 11, 11,6,1,4 AV 9, 11,2 11,5,1,6 Brix % - 16, 16,9 16, 17,3 cane NV,1 15,6 16,3 16,6 16,7 AV,5 15,7 16,4 16,3 16,3 Sme quality traits are given in Table 1. There were n majr differences in respect f % dry matter, fibre cntent and brix between, NV and AV stalks in any fthe varieties. Dry matter, fibre and brix cntents increased t abut the same extent in flwered and nn-flwered stalks between May and Octber. Increases in pl % cane were mre rapid in the tp part f the stalk than in the stalk as a whle (igure I). With varieties NC376 and NC3 the final (Octber) pl % cane values were smewhat lwer in AV than in and NV stalks; with the ther three varieties differences were negligible. By July bth the fresh mass (nt shwn) and the mass f pl per stalk f stalks were greater than thse f AV and NV stalks (igure 2). Althugh there is a tendency fr heavier stalks t flwer and lighter stalks nt (Julien et a1 4 ) the flwered stalks in this trial and thse tested in Mauritius als, increased faster in fresh mass and sucrse cntent than artificially vegetative stalks after. the initiatin f inflrescences. 11

2 Prceedings (If The Suth African Sugar Technlgists' Assciatin - June CI.l c 1' u *' NC376 Whle stalk -==-=- ---_NV AV 16 NC376 Tp f stalk ~ 1' ~ NC3 ~ NC3,~~,:/ '" /'" "v --..,- -AV / -:;.----_. NV N55/5 N55/5 CI.l ~ *' _1 2 N52/21~ N52/219 ~. ~.~ 1' U ~ N N11 ~ 1' ~ -t r-----,--., tg'----y------r-----,-----r-- ~ May June July Aug Sept Oct May June July Aug Sept Oct IGURE 1 Pl % Cane in whle stalks and tps f flwered () natural vegetative (NV) and artificial vegetative (A V) stalks f five varieties sampled frm May t Octber. Mst fthe increase in mass pl per stalk after July tk place in the tps f the stalks. In flwered plts stalks accumulated sucrse (mass pl) mre rapidly than NY stalks. Increases in mass pl were similar in NV and AV stalks f NC376 and N55/5; in NC3 mass pl f AV stalks reached an intermediate level between thse f and NV stalks; in N5219 and Nil mass pl fav stalks increased at a rate such as t equal the mass pl f stalks by Octber. In the case f NIl, at least, the similar final pl masses f AV and stalks can be explained by the cmmnly bserved 12

3 tendency in this variety, fr leaves n flwering stalks t senesce cmparatively quickly, with cnsequently impaired prductin f phtsynthate t supprt sucrse accumulatin. N side shts had develped by that date. It can be seen (igure 2) that there was little increase after August in the mass pl f stalks f Nil. Estimates fchanges with time in mean pl yields f flwering and nn-flwering plts were derived frm the values shwn in igure '2 and the bserved percentages f stalks flwering in the respective varieties. Differences in yield between lighted and nn-lighted plts within varieties were generally small (igure 3). Hwever, the pltted pints suggest that by Octber, in varieties N52/219 and NIl, the mean pl yield per stalk in flwering plts was beginning t fall behind that in nn-flwering plts. Trial 2 Virtually all the stalks flwered in nn-lighted plts and nne flwered in the lighted plt, s the nly pssible cmparisns were between and AV stalks. The dry matter cntent f stalks f Nil decreased frm September t December, by which time their dry matter cntent was significantly lwer that that f AV stalks (Table 2). ibre cntent fav stalks increased mre with time than did that f stalks. The pl cntent f AV stalks remained mre r less cnstant during the perid that samples were taken but that f stalks decreased frm 15,3%in September t 13,2% in December. Yield f cane did nt differ greatly between and AV plts (differences were never significant) and changed little with time. Differences in yield f sugar between and AV plts were generally nt significant; but while sugar yield remained nearly cnstant in AV plts, in plts it apparently decreased slwly between September and December. Table 3 Pl % cane, mass per stalk and mass f pl per stalk f bases and tps f flwered () and artificial vegetative (AV) stalks f NIl Time f sampling and part f stalk Trait Type f stalk Bases Tps Sept Oct Nv Sept Oct Nv 16,3 15,6,2,1 13,1 11,6 Pl % cane AV 15,7 16,1 15,3,,,9 LSD (,5),9 1,5 1, 3,7 2,4 1,3 resh mass (glstalk) AV LSD (,5) Mass Pl, 66, 62,1 4,6 36,2 32,7 (glstalk) AV 71, 7,1 69, 49,4 57, 49,3 LSD (,5) 17, 15,9 11,6 5, 36,5 23,1 eldana, with,6%f interndes damaged, while 6% f AV stalks and,7% f interndes were damaged. The apprximately cnstant yield f sugar in AV plts up t December (Table 2) suggeststhat this degree finfestatin did nt result in much lss fyield in AV plants. Similarly, the smewhat greater degree f infestatin fstalks may nt have placed much part in the fall with time in sugar yield f plts. Small side shts had develped in stalks by December but were absent in stalks damaged by eldana. The results f Experiment 2 seem t be cnsistent with thse fr NIl in Experiment 1 (cf igure 2). In bth cases, with stalks, pl % cane and mass pl per stalk were at a maximum in September and had apparently begun decreasing by Octber. With AV stalks there was little increase in pl % cane after September in either experiment. Mass pl 'per stalk fav stalks remained apprximately cnstant after September in Experiment 2 and the trend f the pltted pints (igure 2) is cnstant, with mass pl f Nil reaching a maximum in abut Octber in Experiment 1. Table 2 Quality and yield f flwered () and artificially vegetative (AV) stalks f Nll in trial 2 Date f Type f Dry matter ibre % Pl % Tns cane Tns sugar Sampling stalk % cane cane cane Iha Iha 29,1 13, 15,3 74,4 11,4 September AV 29,2 13,1 15,1 1,6,4 LSD (,5) 2,1,5 3,6 5,1 2,6 13,, 73,9,9 Octber AV 2,7 13,1 15, 5,, LSD (,5) 2,2,9 31,6 4,3 2,3, 13,4 73, 9,9 Nvember AV 29,6,3,6 77,7 11,3 LSD (,5) 1,6 1,3 2,5 3,7 27, 13,7 13,2 74,1 9, December AV 29,9,4,9 4,,7 LSD (,5),4 1, 15,,6 The measurements made frm September t Nvember n stalks divided int bases and tps shw (Table 3) that the fall in pl % cane and in sugar yield f plts stemmed mainly frm lsses f sugar frm the upper part f the stalk. N samples were taken in December because eldana brer had infested the trial; 77% f stalks were damaged by 13 Cnclusin In Suth Africa flwering is nt nrmally prfuse in mst varieties. In the weeks fllwing anthesis, in partially flwering fields, mass f sucrse in stalks with flwers is greater than that fvegetative stalks. After anthesis flwering stalks gain weight faster than nn-flwering stalks, prbably until early summer (say Nvember) in mst varieties. Where there is n flwering (prevented with lights) stalks usually gain weight mre slwly than d flwering stalks; rather they gain weight at a similar rate t r smewhat faster than nnflwering stalks in partially flwering fields. By early summer, hwever, in varieties where senescence f leaves n flwering stalks is cmparatively rapid, the mass f sucrse per stalk in nn-flwering fields may catch up with that f flwering stalks in partially flwering fields. Accrdingly, yield f sucrse per hectare is generally little affected by flwering at least until early summer (see igure 3). In certain varieties, hwever, if flwering is heavy, yield f sucrse is likely t fall if harvesting is delayed until mid t late summer. Experiment I was terminated t sn (in any case flwering in it was generally sparse) t shw whether yield in a range f varieties is likely t be affected if the harvesting f heavily flwering fields is delayed until late summer. In Zimbabwe there was a substantial fall in pl % cane f flwered stalks fnc376 when the crp was carried ver fr harvesting in the fllwing seasn (Lng'),

4 Whle stalk Tp f stalk 2 NC <, "' 5-15 ~ <, ~ 5 - NC3..,/,fII",/ :::: AV ~.. ",,'," /. NV ' /-_/ + _ 6 4 ~ NC3 6 4,.. ~ AV ' ",,",---- tj" " "",--_/ " /"NV ;,'.." -"". /". -,~---- "AV / ~..P NV / ----'.,.."..",.."..-. /.. / 2-t ~ "' 5 - Nll,,,,, ",.y,, _.-._.-', AV -NV /:;:-'",,,,,/- ~,y' '--" 6 4 2""t N52/219 2-r Nll ~ _--_~AV 6 4 May June July Aug Sept Oct June July Aug Sept Oct IGURE 2 Mass f pl (g/stalk) f flwered () natural vegetative (NV) and artificial vegetative (AV) stalks and tps f five varieties sampled frm May t Octber. 14

5 " REERENCES I. Gsnell, GM and Lng, AC (1973). A cmparisn f yield and quality between flwered and nn-flwered cane. Prc S AfrSug Technl Ass47: Julien, MHR and Spramanien, GC (1976). The effect f flwering n yield in sugarcane. Rev agric et suer l/e Maurice 55: Julien, MHR; Delaveau, P; Spramanien, GC and Matine, J (1977). Age, time f harvest and envirnment as factrs influencing differences in yield between flwering and vegetative canes. Prc int Sc Sug Cane Technl16: Julien, MHR; Spramanien, GC; Martine,J and Medan,H (19). The rle f side shts in flwered stalks f sugarcane. Prc int ScSug Cane Technl17: Lng, AC (1976). A large varietal difference in cane deteriratin due t flwering. Prc S Afr Sug Technl Ass 5: Mre, PH and Nuss, KJ (197). lwering and flwer synchrnizatin. In Heinz, DJ (ed) Sugarcane Imprvement thrugh Breeding, pp Elsevier, Amsterdam. 7. Ra, PS (1977). Effects f flwering n yields and quality f sugarcane. Ex Agric 13: IGURE 3 Changes with time in estimated mean pl yield (g/stalk) f lighted (LP=nn flwering) and flwering (P) plts f five varieties. 15

THE EFFECTS OF POST-TREATMENT MOISTURE STRESS AND VARYING AMOUNTS OF APPLIED NITROGEN ON THE. RIPENING RESPONSES OF SUGARCANE TO GLYPHOSATE AND ETHREL

THE EFFECTS OF POST-TREATMENT MOISTURE STRESS AND VARYING AMOUNTS OF APPLIED NITROGEN ON THE. RIPENING RESPONSES OF SUGARCANE TO GLYPHOSATE AND ETHREL r\ / Prceedings a/the Suth African Sugar Technlgists' Assciatin - June 1986 THE EFFECTS OF POST-TREATMENT MOSTURE STRESS AND VARYNG AMOUNTS OF APPLED NTROGEN ON THE. RPENNG RESPONSES OF SUGARCANE TO GLYPHOSATE

More information

GROWTH PHASES IN THE LIFE OF A LICHEN THALLUS

GROWTH PHASES IN THE LIFE OF A LICHEN THALLUS New Phytl. (974) 73, 93-98. GROWTH PHSES N THE LFE OF LCHEN THLLUS BY R.. RMSTRONG The Btany Schl, Oxfrd University {Received 2 March 974) SUMMRY The grwth rates f thalli f flise saxiclus lichens befre

More information

Sunrise and Sunset Times for the 22 nd of each month of 2012 in New York City

Sunrise and Sunset Times for the 22 nd of each month of 2012 in New York City Sunrise and Sunset Times fr the nd f each mnth f 01 in New Yrk City January 01 Sunrise: 7:14am Sunset: 5:00pm February 01 Sunrise: 6:51am Sunset: 5:38pm March 01 Sunrise: 6:45am Sunset: 7:09pm April 01

More information

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975

OTHER USES OF THE ICRH COUPL ING CO IL. November 1975 OTHER USES OF THE ICRH COUPL ING CO IL J. C. Sprtt Nvember 1975 -I,," PLP 663 Plasma Studies University f Wiscnsin These PLP Reprts are infrmal and preliminary and as such may cntain errrs nt yet eliminated.

More information

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >

Bootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) > Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);

More information

VARIETIES OF COTTON. Xo. OS and 1906 AGRICULTURAL COLLEGE, BTLTT.I.1^7IM>r. Mississippi Agricultural Experiment Station. By W R. PERKINS. MISS.

VARIETIES OF COTTON. Xo. OS and 1906 AGRICULTURAL COLLEGE, BTLTT.I.1^7IM>r. Mississippi Agricultural Experiment Station. By W R. PERKINS. MISS. Mississippi Agricultural Eximent Statin. BTLTT.I.1^7IM>r X. OS. VARIETIES OF COTTON 1905 and 1906 By W R. PERKINS. AGRICULTURAL COLLEGE, MISS. January, 1907. VARIETIES OF COTTON- 1905 and 1906. W. R.

More information

CHAPTER Read Chapter 17, sections 1,2,3. End of Chapter problems: 25

CHAPTER Read Chapter 17, sections 1,2,3. End of Chapter problems: 25 CHAPTER 17 1. Read Chapter 17, sectins 1,2,3. End f Chapter prblems: 25 2. Suppse yu are playing a game that uses tw dice. If yu cunt the dts n the dice, yu culd have anywhere frm 2 t 12. The ways f prducing

More information

Interference is when two (or more) sets of waves meet and combine to produce a new pattern.

Interference is when two (or more) sets of waves meet and combine to produce a new pattern. Interference Interference is when tw (r mre) sets f waves meet and cmbine t prduce a new pattern. This pattern can vary depending n the riginal wave directin, wavelength, amplitude, etc. The tw mst extreme

More information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce

More information

Plant Science Course Outcome Summary Chippewa Valley Technical College

Plant Science Course Outcome Summary Chippewa Valley Technical College Curse Number 006-160 Credits 3 Cntact Hurs 64 Develpers Flint Thmpsn Plant Science Curse Outcme Summary Chippewa Valley Technical Cllege Infrmatin Types f Instructin Type f Instructin Cntact Hurs Outside

More information

NAME TEMPERATURE AND HUMIDITY. I. Introduction

NAME TEMPERATURE AND HUMIDITY. I. Introduction NAME TEMPERATURE AND HUMIDITY I. Intrductin Temperature is the single mst imprtant factr in determining atmspheric cnditins because it greatly influences: 1. The amunt f water vapr in the air 2. The pssibility

More information

Determining the Accuracy of Modal Parameter Estimation Methods

Determining the Accuracy of Modal Parameter Estimation Methods Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system

More information

Drought damaged area

Drought damaged area ESTIMATE OF THE AMOUNT OF GRAVEL CO~TENT IN THE SOIL BY A I R B O'RN EMS S D A T A Y. GOMI, H. YAMAMOTO, AND S. SATO ASIA AIR SURVEY CO., l d. KANAGAWA,JAPAN S.ISHIGURO HOKKAIDO TOKACHI UBPREFECTRAl OffICE

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

Department of Electrical Engineering, University of Waterloo. Introduction

Department of Electrical Engineering, University of Waterloo. Introduction Sectin 4: Sequential Circuits Majr Tpics Types f sequential circuits Flip-flps Analysis f clcked sequential circuits Mre and Mealy machines Design f clcked sequential circuits State transitin design methd

More information

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion

Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals of Diffusion Materials Engineering 272-C Fall 2001, Lecture 7 & 8 Fundamentals f Diffusin Diffusin: Transprt in a slid, liquid, r gas driven by a cncentratin gradient (r, in the case f mass transprt, a chemical ptential

More information

Investigating flower bud hardiness of new tree fruit cultivars. Other funding sources: None

Investigating flower bud hardiness of new tree fruit cultivars. Other funding sources: None FINAL PROJECT REPORT Prject Title: Investigating flwer bud hardiness f new tree fruit cultivars PI: Matthew Whiting Organizatin: WSU-Prsser Telephne: 509-786-9260 Email: mdwhiting@wsu.edu City: Prsser

More information

Unit 14 Thermochemistry Notes

Unit 14 Thermochemistry Notes Name KEY Perid CRHS Academic Chemistry Unit 14 Thermchemistry Ntes Quiz Date Exam Date Lab Dates Ntes, Hmewrk, Exam Reviews and Their KEYS lcated n CRHS Academic Chemistry Website: https://cincchem.pbwrks.cm

More information

Physics 2010 Motion with Constant Acceleration Experiment 1

Physics 2010 Motion with Constant Acceleration Experiment 1 . Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin

More information

How do scientists measure trees? What is DBH?

How do scientists measure trees? What is DBH? Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

Population Structure and Migration Patterns of Atlantic Cod (Gadus morhua) in West Greenland Waters Based on Tagging Experiments from 1946 to 1964

Population Structure and Migration Patterns of Atlantic Cod (Gadus morhua) in West Greenland Waters Based on Tagging Experiments from 1946 to 1964 NAFO Sci. Cun. Studies, : - Ppulatin Structure and Migratin Patterns f Atlantic Cd (Gadus mrhua) in West Greenland Waters Based n Tagging Experiments frm t Hlger Hvgard Greenland Fisheries Research Institute

More information

Evaluation of the outdoor thermal environment in redevelopment buildings in front of Osaka Station based on observations

Evaluation of the outdoor thermal environment in redevelopment buildings in front of Osaka Station based on observations Academic Article Jurnal f Heat Island Institute Internatinal Vl. 9-2 (2014) Evaluatin f the utdr thermal envirnment in redevelpment buildings in frnt f Osaka Statin based n bservatins Kentar Ayama *1 Sae

More information

UNIT 6 DETERMINATION OF FLASH AND FIRE POINT OF A LUBRICATING OIL BY OPEN CUP AND CLOSED CUP METHODS

UNIT 6 DETERMINATION OF FLASH AND FIRE POINT OF A LUBRICATING OIL BY OPEN CUP AND CLOSED CUP METHODS UNIT 6 DETERMINATION OF FLASH AND FIRE POINT OF A LUBRICATING OIL BY OPEN CUP AND CLOSED CUP METHODS Determinatin f Flash and Fire Pint f a Cup and Clsed Cup Structure 6. Intrductin Objectives 6. Experiment

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

Chapter 8: The Binomial and Geometric Distributions

Chapter 8: The Binomial and Geometric Distributions Sectin 8.1: The Binmial Distributins Chapter 8: The Binmial and Gemetric Distributins A randm variable X is called a BINOMIAL RANDOM VARIABLE if it meets ALL the fllwing cnditins: 1) 2) 3) 4) The MOST

More information

A Study on Pullout Strength of Cast-in-place Anchor bolt in Concrete under High Temperature

A Study on Pullout Strength of Cast-in-place Anchor bolt in Concrete under High Temperature Transactins f the 7 th Internatinal Cnference n Structural Mechanics in Reactr Technlgy (SMiRT 7) Prague, Czech Republic, August 7 22, 23 Paper #H-2 A Study n Pullut Strength f Cast-in-place Anchr blt

More information

THERMAL TEST LEVELS & DURATIONS

THERMAL TEST LEVELS & DURATIONS PREFERRED RELIABILITY PAGE 1 OF 7 PRACTICES PRACTICE NO. PT-TE-144 Practice: 1 Perfrm thermal dwell test n prtflight hardware ver the temperature range f +75 C/-2 C (applied at the thermal cntrl/munting

More information

CONSTRUCTING STATECHART DIAGRAMS

CONSTRUCTING STATECHART DIAGRAMS CONSTRUCTING STATECHART DIAGRAMS The fllwing checklist shws the necessary steps fr cnstructing the statechart diagrams f a class. Subsequently, we will explain the individual steps further. Checklist 4.6

More information

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method. Lessn Plan Reach: Ask the students if they ever ppped a bag f micrwave ppcrn and nticed hw many kernels were unppped at the bttm f the bag which made yu wnder if ther brands pp better than the ne yu are

More information

Plate Tectonics and the Fossil Record

Plate Tectonics and the Fossil Record Plate Tectnics and the Fssil Recrd Accrding t the thery f plate tectnics, the earth's surface is dynamic. The current cnfiguratin f its land and cean masses is the result f mtins that have ccurred ver

More information

ALUMINIUM ELECTROLYTIC CAPACITORS PG - LL9 Long Life Grade

ALUMINIUM ELECTROLYTIC CAPACITORS PG - LL9 Long Life Grade Useful Life : Useful life is the perid f time which the capacitr takes t reach end-f-life Fr PG-LL9 capacitrs the useful life is estimated as 100 hurs at maximum rated temperature, ripple current and vltage

More information

A study on GPS PDOP and its impact on position error

A study on GPS PDOP and its impact on position error IndianJurnalfRadi& SpacePhysics V1.26,April1997,pp. 107-111 A study n GPS and its impact n psitin errr P Banerjee,AnindyaBse& B SMathur TimeandFrequencySectin,NatinalPhysicalLabratry,NewDelhi110012 Received19June

More information

Session #22: Homework Solutions

Session #22: Homework Solutions Sessin #22: Hmewrk Slutins Prblem #1 (a) In the cntext f amrphus inrganic cmpunds, name tw netwrk frmers, tw netwrk mdifiers, and ne intermediate. (b) Sketch the variatin f mlar vlume with temperature

More information

2. Precipitation Chemistry Data

2. Precipitation Chemistry Data STIMATING TH ATMSPHRIC INT A WATRSH INPUT F PLLUTANTS PRRY J. SAMSN epartment f Atmspheric and ceanic Science, University f Michigan, Ann Arbr, All 4819-2143, U.S.A. (Received June 2, 1986; revised March

More information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

More information

Dead-beat controller design

Dead-beat controller design J. Hetthéssy, A. Barta, R. Bars: Dead beat cntrller design Nvember, 4 Dead-beat cntrller design In sampled data cntrl systems the cntrller is realised by an intelligent device, typically by a PLC (Prgrammable

More information

CHAPTER 2 Algebraic Expressions and Fundamental Operations

CHAPTER 2 Algebraic Expressions and Fundamental Operations CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic

More information

Unit 8 ~ Learning Guide

Unit 8 ~ Learning Guide Unit 8 ~ Learning Guide Name: INSTRUCTIONS Cmplete the fllwing ntes and questins as yu wrk thrugh the related lessns. Yu are required t have this package cmpleted BEFORE yu write yur unit test. D yur best

More information

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION NUROP Chinese Pinyin T Chinese Character Cnversin NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION CHIA LI SHI 1 AND LUA KIM TENG 2 Schl f Cmputing, Natinal University f Singapre 3 Science

More information

Biplots in Practice MICHAEL GREENACRE. Professor of Statistics at the Pompeu Fabra University. Chapter 13 Offprint

Biplots in Practice MICHAEL GREENACRE. Professor of Statistics at the Pompeu Fabra University. Chapter 13 Offprint Biplts in Practice MICHAEL GREENACRE Prfessr f Statistics at the Pmpeu Fabra University Chapter 13 Offprint CASE STUDY BIOMEDICINE Cmparing Cancer Types Accrding t Gene Epressin Arrays First published:

More information

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal

More information

Heat Management Methodology for Successful UV Processing on Heat Sensitive Substrates

Heat Management Methodology for Successful UV Processing on Heat Sensitive Substrates Heat Management Methdlgy fr Successful UV Prcessing n Heat Sensitive Substrates Juliet Midlik Prime UV Systems Abstract: Nw in 2005, UV systems pssess heat management cntrls that fine tune the exthermic

More information

Edexcel GCSE Physics

Edexcel GCSE Physics Edexcel GCSE Physics Tpic 10: Electricity and circuits Ntes (Cntent in bld is fr Higher Tier nly) www.pmt.educatin The Structure f the Atm Psitively charged nucleus surrunded by negatively charged electrns

More information

lecture 5: Nucleophilic Substitution Reactions

lecture 5: Nucleophilic Substitution Reactions lecture 5: Nuclephilic Substitutin Reactins Substitutin unimlecular (SN1): substitutin nuclephilic, unimlecular. It is first rder. The rate is dependent upn ne mlecule, that is the substrate, t frm the

More information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic. Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage

More information

Multiple Source Multiple. using Network Coding

Multiple Source Multiple. using Network Coding Multiple Surce Multiple Destinatin Tplgy Inference using Netwrk Cding Pegah Sattari EECS, UC Irvine Jint wrk with Athina Markpulu, at UCI, Christina Fraguli, at EPFL, Lausanne Outline Netwrk Tmgraphy Gal,

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

Study Group Report: Plate-fin Heat Exchangers: AEA Technology

Study Group Report: Plate-fin Heat Exchangers: AEA Technology Study Grup Reprt: Plate-fin Heat Exchangers: AEA Technlgy The prblem under study cncerned the apparent discrepancy between a series f experiments using a plate fin heat exchanger and the classical thery

More information

A Polarimetric Survey of Radio Frequency Interference in C- and X-Bands in the Continental United States using WindSat Radiometry

A Polarimetric Survey of Radio Frequency Interference in C- and X-Bands in the Continental United States using WindSat Radiometry A Plarimetric Survey f Radi Frequency Interference in C- and X-Bands in the Cntinental United States using WindSat Radimetry Steven W. Ellingsn Octber, Cntents Intrductin WindSat Methdlgy Analysis f RFI

More information

Lab #3: Pendulum Period and Proportionalities

Lab #3: Pendulum Period and Proportionalities Physics 144 Chwdary Hw Things Wrk Spring 2006 Name: Partners Name(s): Intrductin Lab #3: Pendulum Perid and Prprtinalities Smetimes, it is useful t knw the dependence f ne quantity n anther, like hw the

More information

A B C. 2. Some genes are not regulated by gene switches. These genes are expressed constantly. What kinds of genes would be expressed constantly?

A B C. 2. Some genes are not regulated by gene switches. These genes are expressed constantly. What kinds of genes would be expressed constantly? STO-143 Gene Switches Intrductin Bacteria need t be very efficient and nly prduce specific prteins when they are needed. Making prteins that are nt needed fr everyday cell metablism wastes energy and raw

More information

( ) kt. Solution. From kinetic theory (visualized in Figure 1Q9-1), 1 2 rms = 2. = 1368 m/s

( ) kt. Solution. From kinetic theory (visualized in Figure 1Q9-1), 1 2 rms = 2. = 1368 m/s .9 Kinetic Mlecular Thery Calculate the effective (rms) speeds f the He and Ne atms in the He-Ne gas laser tube at rm temperature (300 K). Slutin T find the rt mean square velcity (v rms ) f He atms at

More information

READING STATECHART DIAGRAMS

READING STATECHART DIAGRAMS READING STATECHART DIAGRAMS Figure 4.48 A Statechart diagram with events The diagram in Figure 4.48 shws all states that the bject plane can be in during the curse f its life. Furthermre, it shws the pssible

More information

Synchronous Motor V-Curves

Synchronous Motor V-Curves Synchrnus Mtr V-Curves 1 Synchrnus Mtr V-Curves Intrductin Synchrnus mtrs are used in applicatins such as textile mills where cnstant speed peratin is critical. Mst small synchrnus mtrs cntain squirrel

More information

BOUNDED UNCERTAINTY AND CLIMATE CHANGE ECONOMICS. Christopher Costello, Andrew Solow, Michael Neubert, and Stephen Polasky

BOUNDED UNCERTAINTY AND CLIMATE CHANGE ECONOMICS. Christopher Costello, Andrew Solow, Michael Neubert, and Stephen Polasky BOUNDED UNCERTAINTY AND CLIMATE CHANGE ECONOMICS Christpher Cstell, Andrew Slw, Michael Neubert, and Stephen Plasky Intrductin The central questin in the ecnmic analysis f climate change plicy cncerns

More information

Chapter 11 Death: Meaning, Manner,

Chapter 11 Death: Meaning, Manner, Chapter 11 Death: Meaning, Manner, Mechanism, Cause, and Time By the end f this chapter yu will be able t: Discuss the definitin f death Distinguish between fur manners f death: natural, accidental, suicidal,

More information

Least Squares Optimal Filtering with Multirate Observations

Least Squares Optimal Filtering with Multirate Observations Prc. 36th Asilmar Cnf. n Signals, Systems, and Cmputers, Pacific Grve, CA, Nvember 2002 Least Squares Optimal Filtering with Multirate Observatins Charles W. herrien and Anthny H. Hawes Department f Electrical

More information

BASD HIGH SCHOOL FORMAL LAB REPORT

BASD HIGH SCHOOL FORMAL LAB REPORT BASD HIGH SCHOOL FORMAL LAB REPORT *WARNING: After an explanatin f what t include in each sectin, there is an example f hw the sectin might lk using a sample experiment Keep in mind, the sample lab used

More information

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Sandy D. Balkin Dennis K. J. Lin y Pennsylvania State University, University Park, PA 16802 Sandy Balkin is a graduate student

More information

Partial Molar Volumes of Aluminium Chloride, Aluminium Sulphate and Aluminium Nitrate in Water-rich Binary Aqueous Mixtures of Tetrahydrofuran

Partial Molar Volumes of Aluminium Chloride, Aluminium Sulphate and Aluminium Nitrate in Water-rich Binary Aqueous Mixtures of Tetrahydrofuran ORIENTAL JOURNAL OF CHEMISTRY An Internatinal Open Free Access, Peer Reviewed Research Jurnal www.rientjchem.rg ISSN: 97-2 X CODEN: OJCHEG 214, Vl. 3, N. (4): Pg. 237-241 Partial Mlar Vlumes f Aluminium

More information

THE LIFE OF AN OBJECT IT SYSTEMS

THE LIFE OF AN OBJECT IT SYSTEMS THE LIFE OF AN OBJECT IT SYSTEMS Persns, bjects, r cncepts frm the real wrld, which we mdel as bjects in the IT system, have "lives". Actually, they have tw lives; the riginal in the real wrld has a life,

More information

Effects of hydroxypropyl methylcellulose and polyvinyl alcohol on intraocular penetration of topical fluorescein m man

Effects of hydroxypropyl methylcellulose and polyvinyl alcohol on intraocular penetration of topical fluorescein m man Effects f hydrxyprpyl methylcellulse and plyvinyl alchl n intracular penetratin f tpical flurescein m man Stephen R. Waltman and Tully C. Patrwicz A slit lamp flurphtmeter was used t measure penetratin

More information

Student Exploration: Cell Energy Cycle

Student Exploration: Cell Energy Cycle Name: Date: Student Explratin: Cell Energy Cycle Vcabulary: aerbic respiratin, anaerbic respiratin, ATP, cellular respiratin, chemical energy, chlrphyll, chlrplast, cytplasm, glucse, glyclysis, mitchndria,

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

Verification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance

Verification of Quality Parameters of a Solar Panel and Modification in Formulae of its Series Resistance Verificatin f Quality Parameters f a Slar Panel and Mdificatin in Frmulae f its Series Resistance Sanika Gawhane Pune-411037-India Onkar Hule Pune-411037- India Chinmy Kulkarni Pune-411037-India Ojas Pandav

More information

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y=

making triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y= Intrductin t Vectrs I 21 Intrductin t Vectrs I 22 I. Determine the hrizntal and vertical cmpnents f the resultant vectr by cunting n the grid. X= y= J. Draw a mangle with hrizntal and vertical cmpnents

More information

University of Illinois Urbana-Champaign. Digitized by the Internet Archive

University of Illinois Urbana-Champaign.  Digitized by the Internet Archive "muib. 3 3051 00005 8770 Digitized by the Internet Archive in 2012 with funding frm University f Illinis Urbana-Champaign http://archive.rg/details/illinisclaysasb22jack ILLINIS STATE GELGICAL SURVEY

More information

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes Chemistry 20 Lessn 11 Electrnegativity, Plarity and Shapes In ur previus wrk we learned why atms frm cvalent bnds and hw t draw the resulting rganizatin f atms. In this lessn we will learn (a) hw the cmbinatin

More information

o Land and water both are heated by solar radiation, but land

o Land and water both are heated by solar radiation, but land Benchmark: SC.D.l.4.1 The student knws hw climatic patterns n Earth result frm an interplay f many factrs (Earth's tpgraphy, its rtatin'tn its axis, slar radiatin, the transfer f heat energy where the

More information

Main Menu. SEG Houston 2009 International Exposition and Annual Meeting. Summary

Main Menu. SEG Houston 2009 International Exposition and Annual Meeting. Summary CO elcity Measurements and Mdels r Temperatures dwn t -10 C and up t 00 C and Pressures up t 100 MPa Min Sun* and De-hua Han, Rck Physics Lab, University Hustn Micheal Batzle, Clrad Schl Mines Summary

More information

Lab 4: Passive Transport & Graphing Data

Lab 4: Passive Transport & Graphing Data CWI Cncepts f Bilgy LAB Manual 42 Lab 4: Passive Transprt & Graphing Data The internal envirnment f all cells is a slutin. A slutin is a mixture f tw r mre substances that are evenly distributed thrughut.

More information

RN52-STK2 Starter Kit

RN52-STK2 Starter Kit The RN52-STK2 Starter Kit has everything yu need t kick-start yur prject and is a great tl fr develpers: Prf f cncept prttypes as well as final cmmercial slutins. fr educatinal use: Natural sciences curses

More information

Supporting information

Supporting information Electrnic Supplementary Material (ESI) fr Physical Chemistry Chemical Physics This jurnal is The wner Scieties 01 ydrgen perxide electrchemistry n platinum: twards understanding the xygen reductin reactin

More information

o o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions.

o o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions. BASD High Schl Frmal Lab Reprt GENERAL INFORMATION 12 pt Times New Rman fnt Duble-spaced, if required by yur teacher 1 inch margins n all sides (tp, bttm, left, and right) Always write in third persn (avid

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

General Chemistry II, Unit I: Study Guide (part I)

General Chemistry II, Unit I: Study Guide (part I) 1 General Chemistry II, Unit I: Study Guide (part I) CDS Chapter 14: Physical Prperties f Gases Observatin 1: Pressure- Vlume Measurements n Gases The spring f air is measured as pressure, defined as the

More information

Name: Period: Date: ATOMIC STRUCTURE NOTES ADVANCED CHEMISTRY

Name: Period: Date: ATOMIC STRUCTURE NOTES ADVANCED CHEMISTRY Name: Perid: Date: ATOMIC STRUCTURE NOTES ADVANCED CHEMISTRY Directins: This packet will serve as yur ntes fr this chapter. Fllw alng with the PwerPint presentatin and fill in the missing infrmatin. Imprtant

More information

Weathering. Title: Chemical and Mechanical Weathering. Grade Level: Subject/Content: Earth and Space Science

Weathering. Title: Chemical and Mechanical Weathering. Grade Level: Subject/Content: Earth and Space Science Weathering Title: Chemical and Mechanical Weathering Grade Level: 9-12 Subject/Cntent: Earth and Space Science Summary f Lessn: Students will test hw chemical and mechanical weathering can affect a rck

More information

Tree Structured Classifier

Tree Structured Classifier Tree Structured Classifier Reference: Classificatin and Regressin Trees by L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stne, Chapman & Hall, 98. A Medical Eample (CART): Predict high risk patients

More information

Effect of Conductivity Between Fasteners and Aluminum Skin On Eddy Current Specimens. Abstract

Effect of Conductivity Between Fasteners and Aluminum Skin On Eddy Current Specimens. Abstract Effect f Cnductivity Between Fasteners and Aluminum Skin n Eddy Current Specimens David G. Mre Sandia Natinal Labratries Federal Aviatin Administratin Airwrthiness Assurance ND Validatin Center Albuquerque,

More information

QUIZ Fundamentals of Daylighting 1h30

QUIZ Fundamentals of Daylighting 1h30 MIT Architecture Fall 6 Curse 4.4 Daylighting M. Andersen Octber 17, 6 QUIZ Fundamentals f Daylighting 1h Questins pts 3 pts a. Hw wuld yu describe the greenhuse effect bserved inside a glazed space? Hw

More information

Unit 11 Solutions- Guided Notes. What are alloys? What is the difference between heterogeneous and homogeneous mixtures?

Unit 11 Solutions- Guided Notes. What are alloys? What is the difference between heterogeneous and homogeneous mixtures? Name: Perid: Unit 11 Slutins- Guided Ntes Mixtures: What is a mixture and give examples? What is a pure substance? What are allys? What is the difference between hetergeneus and hmgeneus mixtures? Slutins:

More information

PHOTOSYNTHESIS THE PRACTICALS 16 APRIL 2014

PHOTOSYNTHESIS THE PRACTICALS 16 APRIL 2014 PHOTOSYNTHESIS THE PRACTICALS 16 APRIL 2014 Lessn Descriptin In this lessn, we will: Review the prcess f phtsynthesis Study the starch test in leaves Study the varius practicals testing phtsynthesis Lk

More information

AP Statistics Notes Unit Two: The Normal Distributions

AP Statistics Notes Unit Two: The Normal Distributions AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).

More information

DESIGNING FERTILIZER PROGRAMS FOR YOUR TURF. Shawn BcBurney and Paul E. Rieke Department of Crop and Soil Sciences Michigan State University

DESIGNING FERTILIZER PROGRAMS FOR YOUR TURF. Shawn BcBurney and Paul E. Rieke Department of Crop and Soil Sciences Michigan State University DESIGNING FERTILIZER PROGRAMS FOR YOUR TURF Shawn BcBurney and Paul E. Rieke Department f Crp and Sil Sciences Michigan State University Planning a fertilizer prgram fr athletic fields, parks, and cemeteries

More information

Accelerated Chemistry POGIL: Half-life

Accelerated Chemistry POGIL: Half-life Name: Date: Perid: Accelerated Chemistry POGIL: Half-life Why? Every radiistpe has a characteristic rate f decay measured by its half-life. Half-lives can be as shrt as a fractin f a secnd r as lng as

More information

Matter Content from State Frameworks and Other State Documents

Matter Content from State Frameworks and Other State Documents Atms and Mlecules Mlecules are made f smaller entities (atms) which are bnded tgether. Therefre mlecules are divisible. Miscnceptin: Element and atm are synnyms. Prper cnceptin: Elements are atms with

More information

Structural mechanics of wood composite materials h Ultrasonic evaluation of internal bond strength during an accelerated aging test

Structural mechanics of wood composite materials h Ultrasonic evaluation of internal bond strength during an accelerated aging test J Wd Sci (1998) 44:348-353 The Japan Wd Research Sciety 1998 Yu-Gu Sun Takanri Arima Structural mechanics f wd cmpsite materials h Ultrasnic evaluatin f internal bnd strength during an accelerated aging

More information

Find this material useful? You can help our team to keep this site up and bring you even more content consider donating via the link on our site.

Find this material useful? You can help our team to keep this site up and bring you even more content consider donating via the link on our site. Find this material useful? Yu can help ur team t keep this site up and bring yu even mre cntent cnsider dnating via the link n ur site. Still having truble understanding the material? Check ut ur Tutring

More information

Unit Project Descriptio

Unit Project Descriptio Unit Prject Descriptin: Using Newtn s Laws f Mtin and the scientific methd, create a catapult r trebuchet that will sht a marshmallw at least eight feet. After building and testing yur machine at hme,

More information

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents

WRITING THE REPORT. Organizing the report. Title Page. Table of Contents WRITING THE REPORT Organizing the reprt Mst reprts shuld be rganized in the fllwing manner. Smetime there is a valid reasn t include extra chapters in within the bdy f the reprt. 1. Title page 2. Executive

More information

Astronomical Orientation of Caves in Ajantha and Ellora

Astronomical Orientation of Caves in Ajantha and Ellora Astrnmical Orientatin f Caves in Ajantha and Ellra M. N. Vahia 1, A. P. Jamkhedkar 2 and Parag Mahajani 3 1. Tata Institute f Fundamental Research, Mumbai, Maharashtra, India (Email: vahia@tifr.res.in)

More information

Evolution. Diversity of Life. Lamarck s idea is called the. If a body

Evolution. Diversity of Life. Lamarck s idea is called the. If a body Evlutin Diversity f Life Lamarck s Thery f Evlutin Lamarck s idea is called the. If a bdy part were used, it gt strnger. If bdy part NOT used, it deterirated Lamarck is credited with helping put evlutin

More information

Unit C Review Notes. Theory of Deep Time

Unit C Review Notes. Theory of Deep Time Unit C Review Ntes Thery f Deep Time Types f evidence: Anecdtal vs. Instrumental Direct vs. Indirect Relative dating vs. radiactive dating Steps t calculating the age f a mineral using radiactive dating:

More information

Solution to HW14 Fall-2002

Solution to HW14 Fall-2002 Slutin t HW14 Fall-2002 CJ5 10.CQ.003. REASONING AND SOLUTION Figures 10.11 and 10.14 shw the velcity and the acceleratin, respectively, the shadw a ball that underges unirm circular mtin. The shadw underges

More information

https://goo.gl/eaqvfo SUMMER REV: Half-Life DUE DATE: JULY 2 nd

https://goo.gl/eaqvfo SUMMER REV: Half-Life DUE DATE: JULY 2 nd NAME: DUE DATE: JULY 2 nd AP Chemistry SUMMER REV: Half-Life Why? Every radiistpe has a characteristic rate f decay measured by its half-life. Half-lives can be as shrt as a fractin f a secnd r as lng

More information

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

More information

AP Statistics Practice Test Unit Three Exploring Relationships Between Variables. Name Period Date

AP Statistics Practice Test Unit Three Exploring Relationships Between Variables. Name Period Date AP Statistics Practice Test Unit Three Explring Relatinships Between Variables Name Perid Date True r False: 1. Crrelatin and regressin require explanatry and respnse variables. 1. 2. Every least squares

More information