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tury to a more curvaceous shape by midcentury, returning to a less curvaceous body by the end of the century In addition, they found a significant decline in BMI in the idealized groups over time, with an opposite trend in young women, and a markedly wider divergence between the typical body sizes of young women and the idealized images depicted in the media43 A smaller previous study by Katzmaryzyk and Davis that considered the changes in body weight and shape of 240 Playboy centerfolds from 1978 to 1998, a cohort tacitly understood as ideal, found that 70% of the models were underweight, which underscores the nature of the social pressures for thinness that women face and helps to explain their body dissatisfaction and increased risks for eating disorders44 Currently, the idealized female profile is tall and thin but sporting an hourglass figure, large eyes, prominent cheek bones, and large forehead Other features associated with attractiveness for females include a smaller than average chin, smaller than average nose, and higher than average forehead45 The typical male image is also tall, muscular with little body fat, and features large eyes, prominent cheekbones, and a large chin46 When juxtaposed, the female has lighter hair than the male, who typically has dark hair, to match documented preferences40 However, negative self-esteem or body image effects on both women and men are seen more often as increasingly narrow and nearly unattainable gender stereotypes are emphasized with ideal images of physical beauty47 Although women have long been described as victims of this onslaught of idealized images of feminine beauty, there is evidence to suggest that men are even starting to feel the implied pressure of such masculine imagery Purchases of fitness equipment and even pectoral and other implants may very well be manifestations of Western cultural norms for presentations of the ideal male body that are growing increasingly muscular48 It is generally accepted that men spend significantly more money now than 10 to 15 years ago on aesthetic surgery, cosmetics, fitness equipment, and hair products, including dyes, weaves, and transplants Nevertheless, 90% of the patients who underwent cosmetic surgery or minimally-invasive procedures in 2006, as tracked by the American Society of Plastic Surgeons (which measures procedures performed by physicians of all disciplines), were women1 This suggests.

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This query computes the names of sailors whose sid is not in the set 22, 31, and 64 In contrast to Query Q21, we can modify the previous query (the nested version of Q2) by replacing the inner occurrence (rather than the outer occurence) of IN with NOT IN This modi ed query would compute the names of sailors who have reserved a boat that is not red, ie, if they have a reservation, it is not for a red boat Let us consider how In the inner query, we check that Rbid is not either 102 or 104 (the bids of red boats) The outer query then nds the sids in Reserves tuples where the bid is not 102 or 104 On instances B1, R2, and S3, the outer query computes the set of sids 22, 31, 64, and 74 Finally, we nd the names of sailors whose sid is in this set We can also modify the nested query Q2 by replacing both occurrences of IN with NOT IN This variant nds the names of sailors who have not reserved a boat that is not red, ie, who have only reserved red boats (if they ve reserved any boats at all) Proceeding as in the previous paragraph, on instances B1, R2, and S3, the outer query computes the set of sids (in Sailors) other than 22, 31, 64, and 74 This is the set 29, 32, 58, 71, 85, and 95 We then nd the names of sailors whose sid is in this set

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In the nested queries that we have seen thus far, the inner subquery has been completely independent of the outer query In general the inner subquery could depend on the row that is currently being examined in the outer query (in terms of our conceptual evaluation strategy) Let us rewrite the following query once more: (Q1) Find the names of sailors who have reserved boat number 103 SELECT Ssname FROM Sailors S WHERE EXISTS ( SELECT * FROM Reserves R WHERE Rbid = 103 AND Rsid = Ssid ) The EXISTS operator is another set comparison operator, such as IN It allows us to test whether a set is nonempty Thus, for each Sailor row S, we test whether the set

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