News Feed. FUNDRAISER ALERT: Please read on - you have the chance to support a great cause that can benefit all of us! I am sharing the following information.. I have known Wiremu since 2. Our History Embrace Your Dreams. In 2003, a junior tennis program was added at Sand Island in Bethlehem. We aspire to address interdisciplinary and global issues in an intellectually open and respectful environment through collaboration. Bethlehem, PA 18015 Email. At LAUP, we help provide access to quality preschools in Los Angeles. Learn more about quality preschool and how the LAUP program works Aspire Health & Sports, Bethlehem, New Zealand. Health, Fitness, Sports, Spa and Cafe.
For several years now Wiremu has been really passionate about supporting people in natural solutions to healthcare. He works from a holistic perspective and mentors people through their personal journey towards better overall health. Remember to change this. Aspire Health and Sports - Elite Club in Tauranga. Bethlehem TAURANGA, 3110 NEW ZEALAND. WHAT IS THIS ALL ABOUT? In October this year several of the world. This is unprecedented and has never been done before EVER! Wiremu has been following THE TRUTH ABOUT CANCER research and documentaries and is really passionate about bringing that knowledge back to New Zealand communities and sharing it FREE with all who want to listen and learn. He is already running free classes around the country on Getting off Meds and Living a Healthier Life! The Symposium is in TEXAS USA and we need to get Wiremu to this event? The information that he will learn at this symposium will benefit all of us! Wiremu has the BRAIN POWER, EXPERIENCE & DEDICATION to really do some good work with the information gained at this symposium. He will be rubbing shoulders with the best NATURAL EXPERTS, SCIENTISTS, DOCTORS etc in the world. New Zealand has some of the highest rates of Cancer cases in the developing world BUT generally people only know of the mainstream treatments and not the alternative options. Also, there will be information shared on CARDIOVASCULAR HEALTH with new research and treatment options! Wiremu will bring this resource back and run FREE information sessions for us right here at home. He is a self- employed working father who cannot finance himself to an exclusive event of this type. Here is a breakdown of the costs: Symposium Registration: $6. Cheap as for an event of this type)Accomodation: $9. Gaylord Resort & he is attending the symposium onsite 8am- 8pm so its a full working day!)Food & Transfers: $5. A guys gotta eat & get around!)Flights: $2,2. Flights are cheapest we could find flying direct)TOTAL: $4,3. NZD ALL DONATIONS RECEIVED ARE GREATLY APPRECIATEDYOU CAN DEPOSIT YOUR DONATION INTO THE FOLLOWING ACCOUNT 1. He returned home to work for Bethlehem Steel at night.Please provide your Initials and Surname as a Reference. Receipts for donations can be provided by emailing essentialwellbeingnz@gmail.
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DNA bands, equilibrated within the cesium chloride density. UV light and. the lower band is removed with a 5 cc syringe. Pick a colony of bacteria harboring the plasmid or cosmid DNA of interest. X 7. 5 mm Falcon tube containing 2 ml of LB media supplemented with the. C 8- 1. 0 hours with shaking at 2. Harvest the cells by centrifugation at 7. RC5- B using the GS3 rotor. Over 5 hours of Astronomical Image Processing Tutorilas are available on DVD. The Camtasia Studio video content presented here requires JavaScript to be enabled and the latest version of the Macromedia Flash Player. Questions of biochemistry with answers of all chapter 1. What are the chemical elements that form most of living biological matter? The chemical elements that form most of the molecules of living. Kyrie Irving had a monster Game 5 by dropping 41 points at Oracle Arena to keep the Cavs alive. He wore the Nike Kyrie 2 'Gradient'. Resuspend the cell pellets in a total of 7. GET/Lysozyme solution (3. Add a total of 1. Add 1. 05 ml of 3. M Na. OAc, p. H 4. Clear the lysate of precipitated SDS, proteins, membranes, and chromosomal. DNA by pouring through a double- layer of cheesecloth. Pool the cleared supernatants into to a clean beaker, add one- fourth volume. PEG/0. 5 M Na. Cl, swirl to mix, and incubate in an ice- water bath for 1- 2. Collect the PEG- precipitated DNA by centrifugation in 2. C in the RC5- B using the GSA. Dissolve the pellets in a combined total of 3. TE buffer, 5 ml. of 5 mg/ml ethidium bromide, and 3. Var Lac Oid Chemical. Co., Inc.) (final concentration of cesium chloride should be 1 g/ml). Transfer the sample into 3. Centrifuge at 6. 0,0. C in. the Sorvall OTD- 7. B ultracentrifuge (Du. Pont) using the T- 8. Visualize the ethidium bromide stained DNA under long- wave UV light, and. DNA band using a 5 cc syringe and a 2. To remove the ethidium bromide, load the DNA sample onto an equilibrated. Dowex column, and collect 0. Pool fractions with an A2. Corex glass. tubes, add one volume of dd. H2. O, and ethanol precipitate by adding 2. Resuspend the DNA in 1. TE buffer. For diatomaceous earth- based purification. Pool the supernatants from step 6 into 5. DNase- free. RNase A and RNase T1 such that the final concentration of RNase A is 4. RNase T1 is 4. 0 U/ml. Add an equal volume of isopropanol and precipitate at room temperature for. Resuspend each DNA pellet in 2. TE buffer, and add 4. HCl (1. 00 mg/ml) to each bottle. Decant the supernatant, resuspend each pellet in 4. Decant the supernatant, resuspend each pellet in 4. Decant the supernatant and dry the pellet in a vacuum oven. Resuspend the pellet in 2. TE buffer, and elute the bound DNA. C for 1. 0 minutes with intermittent. Remove the diatomaceous earth by centrifugation at 9,0. RC5- B using the GS3 rotor. Combine the DNA- containing supernatants and precipitate the DNA in 3. Corex glass tubes adding 2. Resuspend the dried DNA pellet in 2 ml of 1. TE buffer and assay for. A midi- prep double- stranded DNA isolation has been developed to generate a. DNA for several Sequenase. Pick a colony of bacteria harboring the plasmid DNA of interest into a 1. X. 7. 5 mm Falcon tube containing 3 ml of 2x. TY media supplemented with the. C 8- 1. 0 hours with shaking at 2. Harvest the cells by centrifugation at 3. Beckman GPR tabletop centrifuge and decant the. Resuspend the cell pellets in 2 ml of GET/Lysozyme solution, add 4 ml of. Add 4 ml of 3. M Na. OAc, p. H 4. 8, gently mix by swirling, and incubate in an. Clear the lysate of precipitated SDS, proteins, membranes, and chromosomal. DNA by pouring through a double- layer of cheesecloth into a new 5. Decant the supernatant to a 5. DNase- free RNase A and incubate in a 3. C. water bath for 3. Add 7 ml (equal volume) of de- fined diatomaceous earth in guanidine- HCl (2. DNA to bind at room temperature for 5 minutes with. Decant the supernatant, resuspend in 7 ml of diatomaceous earth- wash buffer. Decant the supernatant, resuspend in 7 ml of acetone, and centrifuge as. Decant the supernatant and dry in a vacuum oven. Resuspend the pellet in 0. TE buffer, and elute the bound DNA. C for 1. 0 minutes with intermittent. Remove the diatomaceous earth by centrifugation at 3,0. Beckman GPR tabletop centrifuge. Transfer the supernatant to a 1. Resuspend the dried DNA pellet in 4. TE buffer and assay for. The standard method for the miniprep isolation of plasmid DNA includes the. Pick a colony of bacteria harboring the plasmid DNA of interest into a 1. X. 1. 00 mm Falcon tube containing 6 ml of TB media supplemented with the. C 1. 6- 1. 8 hours with shaking at 2. Harvest the cells by centrifugation at 3. Beckman. GPR tabletop centrifuge and decant the supernatant. Resuspend the cell pellets in 0. TE- RNase solution (5. TE buffer. containing 4. RNase A; some also add RNase T1 to a final concentration of. U/ul) by gentle vortexing, add 0. Add 0. 2 ml of 3. M Na. OAc, p. H 4. Clear the lysate of precipitated SDS, proteins, membranes, and chromosomal. DNA by centrifugation at 1. C. Transfer the supernatant to a fresh 1. For standard alkaline lysis purification. Precipitate the DNA by adding 1 ml of 9. DNA pellet in 1. 00- 2. TE buffer. Add 1 ml of de- fined diatomaceous earth in guanidine- HCl (2. DNA to bind at room temperature for 5 minutes with occasional mixing. Turn on the vacuum pump and adjust the vacuum level to 8 in. Hg, let the. membrane dry for 1 minute, and then release the vacuum. Pour the well mixed samples into the wells of the Prep- A- Gene manifold and. Hg until all the liquid is filtered through. Wash the samples four times with 2. Reduce the vacuum to 5 in. Hg before turning the vacuum off at the. Hg, and let the membrane dry for 1 minute. Turn off the vacuum at the stopcock and remove the collection rack. Prepare an early log phase culture of JM1. Ehrlenmeyer. flask containing 5. TY with a glycerol stock of JM1. C water bath, with no. Harvest the cells by centrifugation at 7. RC5- B using the GS3 rotor. Resuspend the cell pellets in a total of 1. X STB buffer by gently teasing the pellet with a spatula. Add 4. 8 ml of 5. TTE buffer (1. 2 ml for each bottle) and 2 ml of RNase A. Clear the lysate of precipitated SDS, proteins, membranes, and chromosomal. DNA by pouring through a double- layer of cheesecloth. Add 6 ml of 5 mg/ml ethidium bromide, and cesium chloride such that the. Transfer the sample into 3. TE buffer and cesium chloride, remove air bubbles. Centrifuge at 6. 0,0. C in. the Sorvall OTD- 7. B ultracentrifuge using the T- 8. Visualize the ethidium bromide stained DNA under long- wave UV light, and. DNA band using a 5 cc syringe and a 2. To remove the ethidium bromide, load the DNA sample onto an 1. Dowex AG. (Bio. Rad) column, equilibrated as before, and collect 0. Pool fractions with an A2. Corex glass. tubes, add one volume of dd. H2. O, and ethanol precipitate by adding 2. Resuspend the DNA in 1. TE buffer. This isolation procedure (2. M1. 3- based templates to be used in Sequenase. Prepare an early log phase culture of JM1. M1. 3- based. plaques with sterile toothpicks into 1. X 7. 5 mm Falcon tubes containing 1. Transfer the culture to 1. C. Pipette the top 1 ml of supernatant to a fresh 1. PEG/2. 5 M Na. Cl to precipitate the phage particles. Centrifuge for 1. C to. collect the precipitated phage. Resuspend the pellet in 1. M Tris- HCl, p. H 7. TE- saturated phenol. Extract the DNA with phenol and twice with ether, as discussed above, and. Resuspend the dried DNA in 6 ul of 1. TE for use in single- stranded. Sequenase. Prepare an early log phase JM1. TY, as above. Using sterile toothpicks, transfer individual M1. X 7. 5 mm. Falcon tubes containing 1 ml early log phase cell cultures, and incubate for. C with shaking at 2. Separate the bacterial cells from the viral- containing supernatant by. C. The Biomek will distribute two 2. Dynatech). Cover the plate with an acetate plate sealer and incubate at room. Pellet the precipitated phage by centrifuging the plate at 2. Beckman GPR tabletop centrifuge. Return the plate to the tablet, and the Biomek will robotically add 2. PEG: TE rinse solution to each well. Return the plate to the tablet, and the Biomek will add 7. TTE. solution to each well. The Biomek then will robotically pool the contents from each pair of wells. Incubate the tubes at 8. C for 1. 0 minutes to denature. Ethanol precipitate the DNA by adding 5. Resuspend the DNA templates in 2. TE buffer. Transfer 1. Prior to adding the fluorscent terminator. C. Pick colonies using a toothpick into 1. TB with TB salts containing appropriate. Harvest cells by centrifugation at 1. Turn on Biomek, begin the program DSISOL2 and set up the Biomek as indicated in. Specifically, you should put TE- RNase solution. M KOAc. p. H 4. 8 in the third module. Place the 9. 6 well block containing cells onto the Biomek tablet at the position. Press ENTER to continue with the program. First the Biomek will add 1. TE- RNase solution to the cell pellets and mix to. Next, the biomek will add 1. The biomek then will mix the cell suspension again, transfer the entire volume. The biomek will add 1. M KOAc, p. H 4. 8 to the wells of the filter plate and. The supernatant collected in the 9. DNA and must be ethanol. C. for at least 3. Centrifuge for 2. Beckman GPR centrifuge. Decant and wash with 5. Decant the supernatant, drain inverted on a paper towel. Resuspend in 5. 0 ml 1. TE for use in dye primer or dye terminator sequencing. Genomic DNA isolation is performed according to the FBI protocol (2. Blood samples typically were obtained as 1 ml of whole blood stored in EDTA vacutainer tubes frozen at - 7. C. Thaw the frozen samples, and to each 1 ml sample, add 0. X SSC buffer, and mix. Remove 1 ml of the supernatant and discard into disinfectant. Add 1 ml of 1. X SSC buffer, vortex, centrifuge as above for 1 minute, and. Add 3. 75 ul of 0. M Na. OAc to each pellet and vortex briefly. Then add 2. 5 ul. SDS and 5 ul of proteinase K (2. H2. O) (Sigma P- 0. C. Add 1. 20 ul phenol/chloroform/isoamyl alcohol and vortex for 3. Carefully remove the aqueous layer to a new 1. C. Centrifuge for 2 minutes at 1. Add 1. 80 ul 1. 0: 1 TE buffer, vortex, and incubate at 5. C. for 1. 0 minutes. Add 2. 0 ul 2 M sodium acetate and mix. Decant the supernatant and rinse the pellet with 1 ml of 8. Decant the supernatant, and dry the pellet in a Speedy- Vac for 1. Resuspend the pellet by adding 2. TE buffer. Roe, Department of Chemistry and Biochemistry. The University of Oklahoma, Norman, Oklahoma 7. Gradient. XTerminator. The Camtasia Studio video content presented here requires Java. Script to be enabled and the latest version of the Macromedia Flash Player. If you are you using a browser with Java. Script disabled please enable it now. 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As predicted, men with higher SOI- R scores (unrestricted) generally gave higher ratings than did men who scored lower on the SOI- R (restricted), but the difference was significant only at larger breast sizes. We also found that medium to large sizes were rated as the most attractive by both male groups and that viewing angle changed rating of female attractiveness and breast presented in oblique view were rated generally higher than in side view. The results of the study indicate that sociosexuality influences male perception of female breast attractiveness and confirm that accentuation of female- specific physical traits produces a stronger response in unrestricted than in restricted men. Keywords: Sociosexuality, Breast attractiveness, Breast size, Mate preferences, Attraction perception, Mating strategy. Introduction. Attractiveness is judged by means of adaptive psychological mechanisms that have evolved to identify prospective mates who will increase reproductive success above the level expected in random mating (Buss & Schmitt, 1. Men are attracted to a number of physical characteristics in women, including youth cues, face shape, symmetry, waist- to- hip ratio (WHR), distribution of fat reserves, and other secondary sexual traits (Barber, 1. Buss, 1. 98. 9; Singh, 1. Most of these visual cues have been recognized as markers of female fertility and good genes (Barber, 1. Thornhill & Gangestad, 1. Henderson & Anglin, 2. This preview shows document page 1. Sign up to view the full document. Evolutionary Psychology and Sociobiology One author summed up the basic idea of evolutionary psychology this way: 'A person is only a gene's way of making another gene' (Konner, 1985, p. Sociobiology (of which. Female Breast Size Attractiveness for Men as a Function of Sociosexual Orientation (Restricted vs. Evolutionary Psychology. In its broad sense, the term 'evolutionary psychology' stands for any attempt to adopt an evolutionary perspective on human behavior by supplementing psychology with the central tenets of evolutionary. Daniel Clement Dennett III (born March 28, 1942) is an American philosopher, writer, and cognitive scientist whose research centers on the philosophy of mind, philosophy of science, and philosophy of biology, particularly as. Jasienska, Lipson, Ellison, Thune, & Ziomkiewicz, 2. Scheib, Gangestad, & Thornhill, 1. Shackelford & Larsen, 1. Thornhill & Grammer, 1. Female breasts are one of the secondary sexual traits that attract male attention and influence male judgments of attractiveness. Furnham and Swami (2. WHR) when the female figure was presented in side view. Several characteristics may affect breast attractiveness, such as shape, asymmetry (Manning, Scutt, Whitehouse, & Leinster, 1. JOHNSON CURRICULUM VITAE Nationality: Position: United Kingdom Alistair Buchan Professor of International Relations Affiliation: Department of Politics & International Relations University of Oxford Address: St. Dixson et al., 2. This appears to have been confirmed by Lynn (2. American sample, that breast size matters more than breast shape in attractiveness rating. As breasts’ morphology changes with age and reproductive status, it is possible that those changes may affect female attractiveness and that different aspects of breast morphology may convey different signals to a potential mate (Symons, 1. Breast shape, areola size, and color may provide men with a signal of women’s age (Dixson et al., 2. Jasienska, Ziomkiewicz, Ellison, Lipson, & Thune, 2. Previous research suggested that men across cultures may have a profound preference toward female morphology that signals nulliparity (Jones, 1. Most of the previous research, however, has shown that greater attractiveness ratings are associated with larger (Furnham, Dias, & Mc. Clelland, 1. 99. 8; Lynn, 2. Singh & Young, 1. Horvath, 1. 98. 1; Tantleff- Dunn, 2. Some studies, however, failed to find any influence of breast size on attractiveness (Furnham, Swami, & Shah, 2. Furnham & Swami, 2. Cross- cultural studies showed that men from New Zealand, Papua New Guinea, and Samoa, despite the difference in preference for areola color, equally prefer medium and large breast sizes over small ones (Dixson et al., 2. One explanation for these contradictory findings is that human mate preferences are context- dependent, influenced by different socioecological factors (Anderson, Crawford, Nadeau, & Lindberg, 1. Judgments of potential mate value can vary with ecological conditions (Swami & Tovee, 2. Westman & Marlowe, 1. For instance, men in developing societies and working class backgrounds have a preference for plumper women (Anderson et al., 1. Judgments of potential mate value can also vary with the rater’s characteristics, like attractiveness (Brase & Walker, 2. Pawlowski & Jasienska, 2. Waynforth & Dunbar, 1. Jones et al., 2. 00. Little, Burt, Penton- Voak, & Perret, 2. Buss, 1. 98. 9; Buss & Schmitt, 1. Gangestad & Simpson, 2. Provost, Troje, & Quinsey, 2. Swami, Miller, Furnham, Penke, & Tovee, 2. Human sexual strategies are integrated sets of adaptations that drive reproductive effort in the direction of higher fitness. Fitness is notably influenced by a mate’s genetic quality, by the capability to invest in offspring, and by female sexual exclusivity if the male contributes substantially to raising his offspring. Because all three criteria are probably difficult to meet in a single mate, individuals tend to focus on one of them, according to their sexual strategy (Simpson & Gangestad, 1. Men with a short- term mating strategy tend to pursue temporary, low- commitment sexual relationships with multiple partners. They should thus be strongly interested in cues that signal, in a prospective mate, fertility and health, but also willing to engage in short- term mating. By contrast, men with a long- term mating strategy tend to seek durable, high- investment relationships. They value not only reproductive potential and physical attractiveness but also non- physical traits, like interpersonal responsiveness, loyalty, chastity, commitment, and parental skills (Buss & Schmitt, 1. Simpson & Gangestad, 1. Sexual strategy may be reflected in sociosexuality, which is defined as a willingness to engage in sex without commitment. To measure this factor, Simpson and Gangestad (1. Sociosexual Orientation Inventory (SOI). Individuals who scored low on SOI, and thus pursue a long- term mating strategy, were described as sociosexually restricted. Those who scored high, and thus pursue a short- term mating strategy, were described as sociosexually unrestricted. Previous research reported that sexually unrestricted men, in comparison to sexually restricted men, valued physically attractive females more highly (Simpson & Gangestad, 1. Sacco, Hugenberg, & Sefeck, 2. They likewise give females with low WHR and low BMI a higher attractiveness rating (Swami, Jones, Einon, & Furnham, 2. Both traits are known to be highly attractive and related to female fertility (e. Singh, 1. 99. 3; Tovee, Maisey, Emery, & Cornelissen, 1. Li and Kenrick (2. As reproductive gains from short- term mating would be largely eliminated if a female was not fertile, it is possible that ancestral men may have had an adaptive need to identify and pursue short- term partners who were healthy and fertile (Symons, 1. Instead, individuals seem to compromise on physical attractiveness when seeking a long- term partner and emphasize interpersonal and emotional responsiveness (Kenrick, Sadalla, Groth, & Trost, 1. Regan, 1. 99. 8) and tend to evaluate women’s attractiveness more conservatively (Brase & Walker, 2. In this study, we predicted, that male sociosexual orientation may also influence ratings of female breast attractiveness as a function of size. By studying individual differences in male preference for breast size as a function of male sexual strategy, we may better understand the contribution of female breasts size to sexual signaling and their role in the rating of female attractiveness (Furnham & Swami, 2. We predicted that, if large breasts are more attractive than small ones, and convey information on women’s fertility, they should receive the highest ratings for both restricted and unrestricted men, with the highest ratings coming from the unrestricted ones, similar to difference in WHR attractiveness rating found by Swami et al. All men agreed to participate in the study. The mean age of participants was 2. SD = 2. 4. 5) with an age range of 1. To check whether attractiveness rating and SOI- R scores differed in relation to the way the data were collected, we compared men who completed the web- based survey (N = 4. N = 8. 0). We found no significant difference between the two groups both in breast attractiveness ratings and in SOI- R scores p > . Therefore, in all further analyses, the two sets of scores were combined. Measures. The survey was anonymous and had questions on demographics, sexual orientation, relationship status, height, and weight. All participants completed the SOI- R; Penke & Asendorpf, 2. Fig. All participants assessed all 1. Mean attractiveness ratings (1 = low, 9 = high) as a function of breast size and for restricted and unrestricted. The SOI- R consists of 9 items (3 items per component). Responses were scored on a 9 point scale and summed to a total SOI- R score ranging from 9 to 8. A low score means restricted sociosexual orientation and a high score unrestricted sociosexual orientation. Because there was no difference in statistical results from all three facets, we focused on the overall sociosexual orientation. Procedure. We used photographs of female breasts before (B size) and after surgical enlargement (D size). In comparison with line drawings, photographs allow for more authentic rating of perception of attractiveness (Swami et al., 2. Tovee & Cornelissen, 2. Breasts were enlarged from 7. 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Rebates starting at $300 are offered for electrically heated customers through Efficiency Nova Scotia. Also if you have a ducted system and are looking at upgrading rebates are also offered. Basically Efficiency Nova Scotia. I’ve already done everything I can do to save energy and my power bill. Money invested in energy efficiency is money that stays in Nova Scotia. Energy efficiency programs help businesses reduce. Efficiency Nova Scotia manages energy saving programs and services for Nova Scotians. In the past, a surcharge to fund energy efficiency services was applied to all Nova Scotia Power customer bills and transferred to. SQL*Loader Concepts. This chapter explains the basic concepts of loading data into an Oracle database with SQL*Loader. This chapter covers the following topics: SQL*Loader Features. SQL*Loader loads data from external files into tables of an Oracle database. It has a powerful data parsing engine that puts little limitation on the format of the data in the datafile. You can use SQL*Loader to do the following: Load data across a network. This means that you can run the SQL*Loader client on a different system from the one that is running the SQL*Loader server. Load data from multiple datafiles during the same load session. Load data into multiple tables during the same load session. Specify the character set of the data. Selectively load data (you can load records based on the records' values). Manipulate the data before loading it, using SQL functions. This sample control file (loader.ctl). One can also specify multiple 'INTO TABLE' clauses in the SQL*Loader control file to load into multiple. The control file tells SQL*Loader how to interpret the. SQL*Loader's log file tells you the state of the tables and indexes and the number of logical. We are allowed to submit only one parameter that should be data file path; SQL * Loader. Generate unique sequential key values in specified columns. Use the operating system's file system to access the datafiles. Load data from disk, tape, or named pipe. Generate sophisticated error reports, which greatly aid troubleshooting. Load arbitrarily complex object- relational data. Use secondary datafiles for loading LOBs and collections. Use either conventional or direct path loading. While conventional path loading is very flexible, direct path loading provides superior loading performance. See Chapter 1. 1. A typical SQL*Loader session takes as input a control file, which controls the behavior of SQL*Loader, and one or more datafiles. The output of SQL*Loader is an Oracle database (where the data is loaded), a log file, a bad file, and potentially, a discard file. An example of the flow of a SQL*Loader session is shown in Figure 6- 1. SQL*Loader Parameters. SQL*Loader is invoked when you specify the sqlldr command and, optionally, parameters that establish session characteristics. In situations where you always use the same parameters for which the values seldom change, it can be more efficient to specify parameters using the following methods, rather than on the command line: Parameters can be grouped together in a parameter file. You could then specify the name of the parameter file on the command line using the PARFILE parameter. Certain parameters can also be specified within the SQL*Loader control file by using the OPTIONS clause. Parameters specified on the command line override any parameter values specified in a parameter file or OPTIONS clause. SQL*Loader Control File. The control file is a text file written in a language that SQL*Loader understands. SQL Loader is a utility that allows you to load data of different format into Oracle. These formats include delimited text file, csv file, etc. SQL LOADER is an Oracle utility used to load data into table given a datafile which has the records that need to be loaded. SQL*Loader takes data file, as well as a. The control file tells SQL*Loader where to find the data, how to parse and interpret the data, where to insert the data, and more. Although not precisely defined, a control file can be said to have three sections. The first section contains session- wide information, for example: Global options such as bindsize, rows, records to skip, and so on. INFILE clauses to specify where the input data is located. Data to be loaded. The second section consists of one or more INTO TABLE blocks. Each of these blocks contains information about the table into which the data is to be loaded, such as the table name and the columns of the table. The third section is optional and, if present, contains input data. Some control file syntax considerations to keep in mind are: The syntax is free- format (statements can extend over multiple lines). It is case insensitive; however, strings enclosed in single or double quotation marks are taken literally, including case. In control file syntax, comments extend from the two hyphens (- -) that mark the beginning of the comment to the end of the line. The optional third section of the control file is interpreted as data rather than as control file syntax; consequently, comments in this section are not supported. The keywords CONSTANT and ZONE have special meaning to SQL*Loader and are therefore reserved. To avoid potential conflicts, Oracle recommends that you do not use either CONSTANT or ZONE as a name for any tables or columns. See Also: Chapter 8 for details about control file syntax and semantics. Input Data and Datafiles. SQL*Loader reads data from one or more files (or operating system equivalents of files) specified in the control file. From SQL*Loader's perspective, the data in the datafile is organized as records. A particular datafile can be in fixed record format, variable record format, or stream record format. The record format can be specified in the control file with the INFILE parameter. If no record format is specified, the default is stream record format. Note. If data is specified inside the control file (that is, INFILE * was specified in the control file), then the data is interpreted in the stream record format with the default record terminator. Fixed Record Format. A file is in fixed record format when all records in a datafile are the same byte length. Although this format is the least flexible, it results in better performance than variable or stream format. Fixed format is also simple to specify. For example. INFILE datafile. The datafile in the example contains five physical records. Assuming that a period (.) indicates a space, the first physical record is . The second record is . Note that newline characters are not required with the fixed record format. Note that the length is always interpreted in bytes, even if character- length semantics are in effect for the file. This is necessary because the file could contain a mix of fields, some of which are processed with character- length semantics and others which are processed with byte- length semantics. See Character- Length Semantics. Example 6- 1 Loading Data in Fixed Record Format. This format provides some added flexibility over the fixed record format and a performance advantage over the stream record format. For example, you can specify a datafile that is to be interpreted as being in variable record format as follows. INFILE . If n is not specified, SQL*Loader assumes a length of 5 bytes. Specifying n larger than 4. Example 6- 2 shows a control file specification that tells SQL*Loader to look for data in the datafile example. The example. dat datafile consists of three physical records. The first is specified to be 0. Note that newline characters are not required with the variable record format. This example also assumes a single- byte character set for the datafile. The lengths are always interpreted in bytes, even if character- length semantics are in effect for the file. This is necessary because the file could contain a mix of fields, some processed with character- length semantics and others processed with byte- length semantics. See Character- Length Semantics. Example 6- 2 Loading Data in Variable Record Format. Stream record format is the most flexible format, but there can be a negative effect on performance. The specification of a datafile to be interpreted as being in stream record format looks similar to the following. INFILE datafile. However, some nonprintable characters can be specified as ('char. For example: \n indicates a line feed\t indicates a horizontal tab\f indicates a form feed\v indicates a vertical tab\r indicates a carriage return. If the character set specified with the NLS. This is done before SQL*Loader checks for the default record terminator. Hexadecimal strings are assumed to be in the character set of the datafile, so no conversion is performed. On UNIX- based platforms, if no terminator. This means that if you know that one or more records in your datafile has \n embedded in a field, but you want \r\n to be used as the record terminator, you must specify it. Example 6- 3 illustrates loading data in stream record format where the terminator string is specified using a character string, '. The use of the backslash character allows the character string to specify the nonprintable line feed character. Example 6- 3 Loading Data in Stream Record Format. By default a physical record is a logical record, but for added flexibility, SQL*Loader can be instructed to combine a number of physical records into a logical record. SQL*Loader can be instructed to follow one of the following logical record- forming strategies: Combine a fixed number of physical records to form each logical record. Combine physical records into logical records while a certain condition is true. Data Fields. Once a logical record is formed, field setting on the logical record is done. Field setting is a process in which SQL*Loader uses control- file field specifications to determine which parts of logical record data correspond to which control- file fields. It is possible for two or more field specifications to claim the same data. Also, it is possible for a logical record to contain data that is not claimed by any control- file field specification. Most control- file field specifications claim a particular part of the logical record. This mapping takes the following forms: The byte position of the data field's beginning, end, or both, can be specified. This specification form is not the most flexible, but it provides high field- setting performance. The strings delimiting (enclosing and/or terminating) a particular data field can be specified. A delimited data field is assumed to start where the last data field ended, unless the byte position of the start of the data field is specified. The byte offset and/or the length of the data field can be specified. This way each field starts a specified number of bytes from where the last one ended and continues for a specified length. Length- value datatypes can be used. In this case, the first n number of bytes of the data field contain information about how long the rest of the data field is. LOBFILEs and Secondary Datafiles (SDFs)LOB data can be lengthy enough that it makes sense to load it from a LOBFILE. In LOBFILEs, LOB data instances are still considered to be in fields (predetermined size, delimited, length- value), but these fields are not organized into records (the concept of a record does not exist within LOBFILEs). SQL*Loader Log File Reference. When SQL*Loader begins execution, it creates a log file. The log file contains a detailed summary of the load. Most of the log file entries are records of successful SQL*Loader execution. However, errors can also cause log file entries. For example, errors found during parsing of the control file appear in the log file. This chapter describes the following sections of a SQL*Loader log file: Header Information. The Header Section contains the following entries: Date of the run. Software version number. For example: SQL*Loader: Release 9. Production on Wed Feb 2. Copyright 2. 00. 2 Oracle Corporation. That is, whether all records were loaded or only those meeting criteria specified in the WHEN clause. INSERT, APPEND, or REPLACE specification. The following column information. Column name. If found in a datafile, the position, length, delimiter, and datatype. See Column Information for a description of these columns. If specified, RECNUM, SEQUENCE, CONSTANT, or EXPRESSIONIf specified, DEFAULTIF or NULLIFFor example: Table EMP, loaded from every logical record. It gives the maximum size of the field, including the size of any embedded length fields. The size will be different with byte- length semantics versus character- length semantics. For example, for VARCHAR(2,1. For VARCHAR(2,1. 0) with character- length semantics, the length is calculated using the maximum size, in bytes, of a character in the datafile character set. For fields that do not have a specified maximum length, an asterisk (*) is written in the Length column. Delimiter. The delimiters are displayed under the headings, Term (for terminated by) and Encl (for enclosed by). If the delimiter is optional, it is preceded by O and is displayed within parentheses. Datatype. The datatype is displayed as specified in the control file. If the SQL*Loader control file contains any directives for loading datetime and interval datatypes, then the log file contains the parameter DATE, DATETIME, or INTERVAL under the Datatype heading. If applicable, the parameter DATE, DATETIME, or INTERVAL is followed by the corresponding mask. For example: Table emp, loaded from every logical record. That is, for all datafiles, the number of records that were. Skipped. Read. Rejected. Discarded. Beginning and ending time of run. Total elapsed time. Total CPU time (includes all file I/O but may not include background Oracle CPU time)For example: Space allocated for bind array: 6. Space allocated for memory less bind array: 6. Total logical records skipped: 0. Total logical records read: 7. Total logical records rejected: 0. Total logical records discarded: 0. Run began on Wed Feb 2. Run ended on Wed Feb 2. Elapsed time was: 0. CPU time was: 0. Oracle Statistics That Are Logged. The statistics that are reported to the log file vary, depending on the load type. For conventional loads and direct loads of a nonpartitioned table, statistics reporting is unchanged from Oracle. For direct loads of a partitioned table, a per- partition statistics section is provided after the table- level statistics section. For a single- partition load, the partition name will be included in the table- level statistics section. Information About Single- Partition Loads. The following information is logged when a single partition is loaded: The table column description includes the partition name. Error messages include the partition name. Statistics listings include the partition name. Statistics for Loading a Table. The following statistics are logged when a table is loaded: Direct path load of a partitioned table reports per- partition statistics. Conventional path load cannot report per- partition statistics. For loading a nonpartitioned table, statistics are unchanged from Oracle. For conventional loads and direct loads of a nonpartitioned table, statistics reporting is unchanged from Oracle. If you request logging, but media recovery is not enabled, the load is not logged. Additional Summary Statistics for Direct Path Loads and Multithreading. For direct path loads, the log contains the following additional data (the numbers in your log file will be different): Column array rows: 2. Stream buffer bytes: 2. See Specifying the Number of Column Array Rows and Size of Stream Buffers for information about the origin of these statistics. Direct path loads on multiple- CPU systems have the option of using multithreading. If multithreading is enabled (the default behavior), the following additional statistics are logged (the numbers in your log will be different): Total stream buffers loaded by SQL*Loader main thread: 1. Total stream buffers loaded by SQL*Loader load thread: 2. See Optimizing Direct Path Loads on Multiple- CPU Systems for more information about multithreading. Log File Created When EXTERNAL. To do this, set the EXTERNAL. The actual load can be done later without the use of SQL*Loader by executing these statements in SQL*Plus. To generate an example of the log file created when using EXTERNAL. The License Plate Recognition (LPR) Product is comprised of efficient and accurate analytical software capable of gathering valuable data from license plates. Automatic License Plate Recognition download. Automatic License Plate Recognition 2013-05-14 20:50:12 free download. Automatic License Plate Recognition Design and. License Plate Search in title. USD $1430.00, License: Shareware, Author: DTK Software (dtksoft.com) 2: SimpleLPR; License Plate Recognition library. Arizona Custom License Plate Search. Arizona Custom License Plate Search. Rating: 7,4/1. 0 2. 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