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2013 Australian Open – Day-by-day summaries

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Last Updated: 11 November 2020

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Andy Murray is playing the best tennis of his LIFE right now, and after knocking off Roger Federer on Friday in Melbourne, he's poised to capture consecutive Grand Slam Titles for the first time in his blossoming career. The 2013 Australian Open has been full of surprises so far, and Day 12 didn't disappoint, with two of the world's best going head-to-head in an Olympic rematch. Federer and Murray went full five sets, but it was Murray that emerged victorious. He now has an 11-9 record against Federer head-to-head. That semifinal was clearly the big draw of the day, but we also now have a Women's doubles champion, and the field is officially set for the rest of the final events. Here's look at the scores and recap of Day 12 at the Aussie Open. Andy Murray def. Roger Federer: 6-4 6-7 6-3 6-7 6-2 Sara Errani and Roberta Vinci def. Ashleigh Barty and Casey Dellacqua: 6-2 3-6 6-2 Jarmila Gajdosova and Matthew Ebden def. Yaroslava Shvedova and Denis Istomin: 7-5 7-6 Lucie Hradecka and Frantisek Cermak def. Kveta Peschke and Marcin Matkowski: 3-6 7-5, At first glance, this five-set thriller likely drain Murray for his potential Grand Slam Final against Novak Djokovic. Upon closer examination, Murray won all of his sets by at least two games, while Federer had to go to tiebreak to win both of his. Still, nearly four hour match will likely be rough to recover from, but Murray has two days to relax and prepare his mind for the Final. For Federer, questions about his ability to continue to stay at the top of tennis are preparing to commence, but Murray just had a better match on Friday. Murray continued to improve as a tennis player and has now crossed another hurdle that was potentially in the way of letting him take the next stephe beat FedEx at a major tournament. He had not been able to do so in three tries, but now finds himself ready to stare down Djokovic in the finals on Jan. 27. Murray and Federer now have one of the more under-radar rivalries in sports, facing each other 20 times in their careers and coming out just about even over the course of their meetings. The first Australian Open Final of 2013 came in the Women's doubles, and Errani and Vinci held on in three sets to knock off Dellacqua and Barty, latter of whom was trying to become the youngest Grand Slam Champion since Martina Hingis at this event in 1997. The top-seed Women's doubles team from Italy cruised through the tournament and to victory in the finals, but needed three sets to get there. The pair are reigning champs at the US and French Open but lost in the finals in 2012. They wouldn't be denied in 2013 and now need another title at Wimbledon to complete a clean sweep of four major titles in succession. These two are quietly dominating their section of bracket time and again.

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* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Day 1 (14 January)

In Men's Singles, World No. 3 and US Open Champion Andy Murray started things off in his half with over Robin Haase. World No. 2 and Wimbledon Champion Roger Federer made quick work of Benoit Paire. Other top seeds, 7 seed Jo-Wilfried Tsonga and 6 seed Juan Martin Del Potro also got through over Frenchmen Michael Llodra and Adrian Mannarino, respectively. Other seeds also came through with 9 seed Richard Gasquet winning over Albert Montanes, 12 seed Marin Cilic defeating Marinko Matosevic, and 13 seed Milos Raonic winning over Jan Hajek. Australians Luke Saville and John-Patrick Smith fell to Go Soeda and to Joao Sousa. In battle of Aussie wildcards James Duckworth outlasted compatriot Ben Mitchell. Australians hope Bernard Tomic make quick work of Leonardo Mayer. Many seeds fell on day; 18 seed Alexandr Dolgopolov lost to Gael Monfils, and was joined by 19 seed Tommy Haas, 27 seed Martin Klizan, and 29 seed Thomaz Bellucci. In Women's Singles, Day two Play begin with defending champion and top seed, Victoria Azarenka coming through with victory over the often-unpredictable Monica Niculescu. Serena Williams continued her good form with a win over Edina Gallovits-Hall, despite twisting her ankle at 5 games of the first set. 8 seed Petra Kvitova struggled to get past Francesca Schiavone, winning. 10 seed and former World No. 1 Caroline Wozniacki also needed 3 sets against Sabine Lisicki, winning despite being down 0-3 in the third. Other seeds, Maria Kirilenko and Sloane Stephens, got through with wins over Vania King and Simona Halep respectively. 20 seed Yanina Wickmayer ended the hopes of Australian Jarmila Gajdosova with a win. The biggest upset of the day and tournament so far was when 7 seed and last year's quarterfinalist Sara Errani fell to Spaniard Carla Suarez Navarro. Another major upset was when Kimiko Date-Krumm became the oldest woman in Open Era to win a main draw match at the Australian Open with victory over 12 seed Nadia Petrova. Other upsets include 24 seed and Brisbane finalist Anastasia Pavlyuchenkova losing to Lesia Tsurenko, 28 seed Yaroslava Shvedova losing to Annika Beck, and 31 seed Urszula Radwanska to Jamie Hampton. Day 2 attendance: 68 055 Seeds out: Men's Singles: Alexandr Dolgopolov, Tommy Haas, Martin Klizan, Thomaz Bellucci Women's Singles: Sara Errani, Nadia Petrova, Anastasia Pavlyuchenkova, Yaroslava Shvedova, Urszula Radwanska Schedule of Play

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Dating parties in Hampton Australia

Sat, Oct 31, single Events. Singles Events with your friends. Singles Events to your collection. Thu, Nov 5, Ages years CitySwoon. Ages years CitySwoon with your friends. With locations in Darlinghurst and Newtown, this Happy Gilmore-approve mini golf course is sure to bring out big kid in you and your date. Grab your clubs and make your way around 18 pop-reference theme holes. Bring out your inner Demi Moore Ghost, anyone? Offering beginner classes which cover everything from throwing, trimming and glazing in three, two-hour sessions, you will be sculpting Ghost-style in no time! Once you have master that you can book either for returning student session or join one of the weekly masterclasses, because, as we all know-couples that hobby together, stay together. Sydney is perfect for romantic picnic, but it can be a bit of a hassle to organise. They offer a range of hampers, as well as entertainment add-ons like giant ten-pin bowling, chess, or croquet. They also include rugs, crockery and picnic tables, so all you need to do is choose a location, order your package and show up on day. As far as cute date ideas go, this is definitely up there! For creatives and art-lovers, MCA provides the perfect date setting. Open till 5pm each day except Monday, you can lock in the day date to appreciate the latest exhibitions. Stanislas Wawrinka. Sam Querrey. Men's double 2 Round. Jamie Hampton. Ayumi Morita. Lesia Tsurenko. Gilles Simon. Men's Legends' Doubles. Todd Woodbridge Mark Woodforde. Mansour Bahrami Wayne Ferreira. Elena Vesnina. Roberta Vinci. Women's double 2 Round. Serena Williams Venus Williams.

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5 Data transformation

Most people in the world live in poverty. Two-thirds of the world population live on less than 10-int per day. And every tenth person lives on less than 1. 90-int per Day. Both can be seen in this visualization. Research here is concerned with living conditions of worst off: those who live in extreme poverty. The World Bank is the main source for global information on extreme poverty today and it sets the International Poverty Line. The Poverty Line was revised in 2015since. Then, person is considered to be in extreme poverty if they live on less than 1. 90 International dollars per Day. This poverty measurement is based on the monetary value of persons consumption. Income measures, on the other hand, are only used for countries in which reliable consumption measures are not available. The key difficulty in measuring Global Poverty is that price levels are very different in different countries. For this reason, it is not sufficient to simply convert consumption levels of people in different countries by market exchange rate; It is additionally necessary to adjust for cross-country differences in Purchasing Power. This is done through Purchasing Power Parity adjustments. It is important to emphasize that the International Poverty Line is extremely low. Indeed, extreme poverty is an adequate term for those living under this low threshold. Focusing on extreme poverty is important precisely because it captures those most in need. However, it is also important to point out that living conditions well above the International Poverty Line can still be characterized by poverty and hardship. Accordingly, in this entry we will also discuss the global distribution of people below poverty lines that are higher than the International Poverty Line of 1. 90 int.- But relying only on higher poverty lines would mean that we are not keeping track of the very poorest people in the world and this is the focus of this entry. Poverty is a concept intrinsically linked to welfare-and there are many ways in which one can try to measure welfare. In this entry we will focus mainly on poverty as measured by monetized consumption and income, following the approach used by the World Bank. But before we present evidence, introductory Sub-section here provides a brief overview of the relevance of this approach. Global Poverty is one of very worst problems that the world faces today. The poorest in the world are often hungry, have much less access to education, regularly have no light at night, and suffer from much poorer health. To make progress against poverty is therefore one of the most urgent global goals. Available long-run evidence shows that in the past, only a small elite enjoyed living conditions that would not be described as extreme poverty today. But with the onset of industrialization and rising productivity, share of people living in extreme poverty started to decrease. Accordingly, share of people in extreme poverty has decreased continuously over the course of the last two centuries.


Exercise 5.2.4

All trigonometric functions are all described on single help page, name Trig. You can open documentation for these functions with? Trig or by using? With any of the following functions, for example:? Sin. R provides functions for three primary trigonometric functions: sine sin, cosine cos, and tangent tan. Input angles for all these functions are in radians. In previous code, I used variable pi. R provides variable pi which is set to the value of mathematical constant. {matheq}\pi{endmatheq} 4. Although R provides pi variable, there is nothing preventing user from changing its value. For example, I could redefine pi to 3. 14 or any other value. For that reason, if you are using builtin pi variable in computations and are paranoid, you may want to always reference it as base: pi. In previous code block, since angles were in radians, I wrote them as {matheq}\pi{endmatheq} time some number. Since it is often easier to write radians multiple of {matheq}\pi{endmatheq} R provide some convenient functions that do that. Function sinpi, is equivalent to sin. Functions cospi and tanpi are similarly defined for sin and tan functions, respectively. R provides functions arc-cosine acos, arc-sine asin, and arc-tangent atan. Finally, R provides function atan2. Calling atan2 returns angle between x-axis and vector from to.

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* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

5.1 Introduction

Our search strategy identified 9833 unique citations, of which 60 were selected for full-text review after screening titles and abstracts, plus an additional 5 articles identified from reference lists. After reviewing the full texts, 33 articles were additionally exclude. Among cohort studies in children, 11 studies were excluded because we were not able to obtain data in necessary units from transformations or author correspondence: 4 present ORs, 2 did not report longitudinal data for SSBs, one presented data as frequencies by weight change group, one presented SSBs in grams of carbohydrate per day by BMI gainers / losers, one do not present weight change data for all categories of beverage intake, one model SSBs dichotomously, and one present standardized coefficients. Among RCTs in children, 2 studies were excluded because one was follow-up of including trial and the other was conducted in a duplicate study population. Another study was excluded because it substituted SSBs with flavored milk. Among cohort studies in adults, 6 studies were excluded because of unavailability of data or heterogeneity of outcome measures: 2 reported ORs, one reported results stratify by weight gain before baseline, 2 reported BMI rather than body weight, and one presented data in figure that could not be extract. Two studies were additionally excluded because they were conducted in duplicate study populations. Among intervention studies in adults, study by Raben et al was excluded because intervention combines beverages and foods. We do not include a trial by Tate et al because unlike other trials, which evaluate effects of adding SSBs on body weight, this study substitutes SSBs with water or artificially sweetened beverages in the context of active weight-loss intervention. Therefore, data could not be combined because of different study questions. After final exclusions, 32 original articles were included in our meta-analyses: 20 in children and 12 in adults. Excluded studies were evaluated qualitatively. Characteristics of prospective cohort studies included in our meta-analyses are shown in Tables 1 and and 2. 2. Among 15 cohort studies in children, majority were from the United States, Europe, and Canada, with ages at baseline ranging from 2 to 16 y. The number of participants in each study ranged from 141 to 11 703, with durations of follow-up ranging from 6 mo to 14 y. Studies use a variety of methods to assess diet, including FFQs, 24-h recalls, diet and lifestyle questionnaires, and diet records; and all studies adjust for additional diet or lifestyle risk factors, although 2 studies do not adjust for age and one study adjust only for age and time. Only 3 studies adjust for total energy intake. Among 7 cohort studies in adults, majority were conducted in black or white populations from the United States and one study was from the Netherlands.

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* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

5.2.1 Comparisons

All of the big names took care of business on Day 4 at the 2013 Australian Open. Roger Federer, Andy Murray, Victoria Azarenka and Serena Williams all advanced in straight sets, showing no signs of early-season rust in the process. In fact, it was a pretty straightforward day around Melbourne Park. There were no shocking upsets as nearly all of the seeded players advance, most with relative ease. The biggest upset was rising star Laura Robson eliminating No. 8 seed Petra Kvitova. Two rounds are now complete at the season's first major. Let's take a look at some of the notable stories from Day 4, followed by a full list of the day's results. Nikolay Davydenko was playing good tennis to start the season. He reached the finals in Doha, run that was highlighted by victory over David Ferrer. However, veteran was no match for Federer, who breeze to win in straight sets. The Swiss superstar has captured the Aussie Open title four times and would love to make it five, which would silence his doubters. No. The 2 seed has definitely looked like a man on mission in the first two rounds, advancing in his usual workmanlike fashion. Federer's draw is about to get a lot more difficult, however. He'll face Australian phenom Bernard Tomic in the next round before a potential meeting with big-hitting Canadian Milos Raonic. It's tough road to title. Not to be outdone, Murray took down Joao Sousa in three sets, dropping just eight games. He's playing with a lot more confidence now that the major-title monkey is off his back, and he remains on a semifinal collision course with Federer. He faces an interesting matchup in the third round against Ricardas Berankis, who crush No. 25 seed Florian Mayer on Day 4. Even though it's match that Murray should win, it probably won't be as easy as it looks on paper. As long as Murraywho's, cracked 53 winners in his first two matchesremains, aggressive, he should be able to reach semifinals for the fourth straight year Down Under. That's type of extended dominance it takes to get in same class as Federer and Novak Djokovic. Any concerns about Williams' ankle after brief scare in her previous match were quickly put to rest as she rolled past Garbine Muguruza in just over an hour. Dominant American dropped just two games and only faced one break point. She's been in amazing form ever since her shocking first-round loss at the French Open last season. Now that her ankle appears to be a non-issue, it's impossible to consider anybody else's favorite for the women's title. No player can beat Williams when she's playing her best tennisit's really that simple. She will face Ayumi Morita in the next roundit. Should be another convincing victorybefore her first real test, likely against Maria Kirilenko.

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* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

5.6 Grouped summaries with summarise()

Visualisation is an important tool for insight generation, but it is rare that you get data in exactly the right form you need. Often youll need to create some new variables or summaries, or maybe you just want to rename variables or reorder observations in order to make data a little easier to work with. Youll learn how to do all that in this chapter, which will teach you how to transform your data using dplyr package and new dataset on flights departing New York City in 2013. Filter allows you to subset observations based on their values. The first argument is the name of the data frame. Second and subsequent arguments are expressions that filter data frame. For example, we can select all flights on January 1 with: when you run that line of code, dplyr executes filtering operation and returns new data frame. Dplyr functions never modify their inputs, so if you want to save result, youll need to use assignment operator, <-: R either prints out results, or save them to variable. If you want to do both, you can wrap assignment in parentheses: arrange work similarly to filter except that instead of selecting rows, it changes their order. It takes a data frame and a set of column names to order by. If you provide more than one column name, each additional column will be used to break ties in values of preceding columns: use desc to re-order by column in descending order: besides selecting sets of existing columns, it is often useful to add new columns that are functions of existing columns. That job of mutate. Mutate always adds new columns at the end of your dataset, so well start by creating a narrower dataset so we can see new variables. Remember that when youre in RStudio, easiest way to see all the columns is view. Note that you can refer to columns that youve just create: if you only want to keep new variables, use transmute:

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

HAIR

Hair is an integrated system with peculiar chemical and physical behavior. It is a complex structure of several morphological components that act as unit. The hair shaft of mammals is divided into three main regions: cuticle, cortex and medulla. Medulla is present in corser hair like grey hair, thick hair and beard hair, and it is absent in the fine hair of children. There is more medulla in the coarser hair of Asians than Caucasians. Medulla may be involved in splitting of hairs since it provides an area of weakness as a pathway for propagation of cracks along the axis of fiber. Cuticle is a chemically resistant region and consists of flap overlapping scales like shingles on a roof. The shape and orientation of cuticle cells are responsible for the differential friction effect in the hair. Cuticles are generally formed by 6-8 scales thick for Asians, slightly less in Caucasians and even less in African hair. Thinner cuticle layers make African hair more prone to breakage. Each cuticle cell contains a thin proteinaceous membrane, epicuticle, covered with lipid layer that includes 18-methyl eicosanoic acid and free lipids. Beneath cuticle cells membranes there are three layers, all containing heavily cross-link protein, mostly cystine,-layer, exocuticle or B-layer and endocuticle. The first one contains a higher amount of cystine, and the third one contains the lowest. 18-MEA is responsible for the hydrophobicity of hair and its removal by alkaline chemical cosmetics procedures may damage hair by increasing hydrophilia. The Cell membrane complex is intercellular matter. CMC consists of cell membranes and adhesive material binding cell membranes between two cuticle cells, two cortical cells and cuticle-cortex cells. The most important layer of CMC is called the beta-layer, and it is considered to be intercellular cement and it is sandwiched by other layers from each cell. CMC and endocuticles are very vulnerable regions to chemical treatments such as bleaching, dyeing and hair straightening / perm procedures. Also, everyday grooming and shampooing friction may disrupt CMC. CMC fractures may be seen before hair fiber is rupture. Exposure to repeat rough washing, unprotected drying, friction actions, sunlight and alkaline chemical treatments lead to a decrease in lipid content of cell surface, changing it from a state of hydrophobicity to a more hydrophilic, negatively charged surface. The Cortex constitutes a major part of the mass of human hair, and it is formed by elongated, fusiform cells connected by CMC and contain protein and melanin granules. Cortex cells also contain spindle-shape fibrous structures called macrofibrils, Each one consists of microfibrils that are highly organized fibrilar units and matrix. The matrix is formed by crystalline protein of high cystine content. Macrofibrils are arrange in spiral formation. Inside microfibrils there are subfilamentous units called protofilaments, Each contains short sections of alpha-helical proteins in coiled coil formation polypeptide chains of proteins.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Sources

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

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