text:
Its experience and current difficulties are paralleled by those of intentional societies around the world.
The rise of equipment purchases has paralleled an apparent increase in local SWAT teams, but reliable numbers are hard to come by.
It paralleled a much happier time when he carried her around after she twisted her ankle, back in Season 4.
Certainly, it paralleled the brutal end that the Red Viper found despite his nearly flawless pursuit of personal justice.
Now we paralleled the river, beyond whose far edge grew many slender-trunked nara trees; apparently they were Japanese oaks.
He paralleled the policeman's course, and from the next corner again watched him go by; then he returned the way he had come.
The bitterness in his voice was paralleled by the bitterness reflected in his face.
But in many similar mistakes the ingenious Mr. Kelly has been paralleled by other speculators.
This proverb, the meaning of which is obvious enough, is paralleled in all languages.
But things had gone with him most unfortunately,—with a misfortune that had never been paralleled.
1590s, from parallel (n.).
1540s, from Middle French parallèle (16c.) and directly from Latin parallelus, from Greek parallelos "parallel," from para allelois "beside one another," from para- "beside" (see para- (1)) + allelois "each other," from allos "other" (see alias). As a noun from 1550s. Parallel bars as gymnastics apparatus are recorded from 1868.
Adjective Of or relating to lines or surfaces that are separated everywhere from each other by the same distance.
Noun Any of the imaginary lines encircling the Earth's surface parallel to the plane of the equator, used to represent degrees of latitude. See illustration at longitude.


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Best Of :: Shopping & Services
Think nothing can get between you and your Levi's? Check out the Lawless Denim's setup at CityScape and get back to us. Roman Acevedo's boutique specializes in creating custom jeans in-house and by hand — and with the help of a brigade of vintage sewing machines. Here's how it works: You pick your denim — either American or Japanese selvedge. Decide on a style, like high-waist or boot cut. And then select finishes like buttons and thread color. For around $245, you'll have a pair of jeans made to your specifications and measurements. If you're not quite ready for custom-made pants (or dropping serious dough), head for the ready-made rack, where you'll find denim for about half that price.
In just a year, Altitude Coffee Lab has become known for its roasts, but this cafe is more than that. The low-key interior is homey and relaxed, the perfect spot to spend an afternoon getting work done on the ivy-covered patio. Should you get hungry, Altitude offers full breakfast, lunch, and dinner menus that include dishes from all over Europe like Spanish frittata, Danish smørrebrod, and more. For aspiring musicians and poets, weekly open mic nights on the high-end shop sound system will present your work well. Should you need liquid courage before you perform, the coffee house also offers beer, wine, and a small selection of spirits. However, you shouldn't leave without trying the Gibraltar, which mixes espresso and foamed milk at temperatures lower than a cappuccino's so you can taste the amaretto and raisin notes of Altitude's espresso blend.
When we say Phoenix coffee, you say Cartel. Phoenix coffee, Cartel. Seriously, though, you might have your favorite spot to relax or get work done, but this is about the roast. All ambiance arguments aside, there's a reason that celebrities hit up the roaster when they're in town. With a strong focus on natural, unwashed beans and bright, acidic flavors, Cartel-roasted coffee is a unique experience, regardless of the bean you choose. You must be made of stone if can resist grabbing a cup after passing by the Tempe Cartel during roasting hours and smelling the intoxicating coffee aroma wafting from the building. Though you can buy the beans and take them home, feel free to let the highly trained barista staff show you how it's done if you're not a confident home brewer, and don't be afraid to ask questions.
In the morning, French Grocery makes a perfect coffee stop, complete with locally roasted espresso from Tempe's Cortez Coffee. And for more filling fare, there's the weekly menu of cuisine from chef and owner Kevin Lentz. He's spent most of his adult life living and eating in the Big Easy and wanted to bring some of that city's flavor to Phoenix. No matter the time of day, we can swing by for one of the restaurant's macarons, which come in an array of colors and flavors that change each week. And as if that's not enough, French Grocery provides a well-curated selection of wines, cheese, and other artisan products, including European-style butter, goat milk, and chocolates. We only wished we lived closer to French Grocery — or that this type of neighborhood market and restaurant will start taking off all over town.
Though we're happy to see farmers markets popping up in just about every Valley neighborhood, we have to admit our favorite Saturday morning stop is still the Old Town Farmers Market. Because as much as we want to eat local and healthy, we don't have the time — or energy — to make a dozen stops to get the shopping done. The variety of vendors at the Old Town Farmers Market makes this a one-stop shop for market-goers with everything from organic produce to grass-fed beef and local honey. And in most cases, you'll have your choice between several vendors in each category. It's true that things slow down during summer, but at least we can still get in and get the basics before the heat really hits. The fact that the market is dog-friendly is a big plus, because we feel guilty about taking our time when we leave our four-legged baby home alone.
When it comes to cocktail classes in Phoenix, Jade Bar has something for everybody. With a weekly rotating course focusing on gin, whiskey, rum, Prohibition-era cocktails, Tiki cocktails, and more, you certainly can pick your poison. Thirty dollars gets you about four cocktails per class, plus a wealth of information ranging from preparation to history. With small class sizes of 10 people, you get plenty of time for individual instruction and Q&A. Given that it's one of the bars that launched the careers of many of the Valley's top bartenders, you're sure to get an education worthy of any pro. Be warned, though, you may want to consider a room at Sanctuary after the class because those cocktails can knock you on your bum.


text:
Mid-September Mishmash
Thursday, September 15, 2011
Posted by Devan at 9:31:00 PM Comments
Washingtonian Impressions
Saturday, September 10, 2011
Now three weeks into life in Washington, DC, I would like to reflect a bit. A month ago, I moved here for school, primarily because it is the best city for my major, International Relations. The amount of internships, jobs, careers, volunteer opportunities available are incredible. Despite being the Capital, DC is smaller and more intimate than one would think. With charming rowhomes - as opposed to imposing, light-blocking skyscrapers - and friendly, sweet tea-drinking locals who always say hello, it can more resemble a genteel Southern town. Granted, a genteel Southern town with an outsized international political influence and standing.
Compared to other places, people here are extremely career-oriented. About half of the city is comprised of overachieving, ladder-climbing nerds here for government jobs and internships. It is a very segregated city, with the city's NW quadrant and close-in locales, like Arlington, being the primary domains of the city's young and white. In a stark contrast to other areas, these parts are typified by manicured rowhomes, new condos, bike lanes, dog parks, coffee shops, and quaint, sidewalk cafés. Blocks away from safe, yuppified enclaves, often lie places like Trinidad, an almost-exclusively black nabe best known for the (unconstitutional) intrusive police checkpoints of July 2008. By contrast, rundown homes, fried fish shacks, barber shops, and Eritrean-owned, bulletproof glass liquor stores dominate the landscape of NE and SE DC.
Still, several of my favorite DC neighborhoods are in the large, multifaceted NW section. Easily the center of DC's political, social, and cultural scenes, it is home to my favorite (DC) neighborhood, Columbia Heights, as well as many embassy events, of which I try my best to attend. One of few integrated nabes, it is roughly one-third Latino, White, and Black, giving it a multiculturalism otherwise absent in the city. Bizarrely, it is a place where professionals and their million-dollar "dream homes" can coexist alongside violent, troublesome Section 8 housing, and crowded Salvadoran tenements. That said, it is the food options that deserve much praise: a wealth of contemporary American, Salvadoran, Vietnamese, Peruvian, and Caribbean options makes it a local culinary paradise. The cheap Peruvian pollerías are particularly abundant and tasty.
Supposedly, it is a "hipster" neighborhood, yet I see more people in suits and ties than skinny jeans, plaid shirts, vintage floral skirts, or on fixed-gear bikes. Business attire, along with awful Flyover Country university apparel. All over DC, I see far too many people walking around in University of Michigan or University of Texas-Austin shirts, as if they are still living in dorms. Curiously, DC lacks the hipster (basically, 18-35 y/o's with interests previously deemed unconventional, but are now conventional) scene popular elsewhere. Migrants here are attracted by well-paying Federal jobs and political ambition; not hipster incubators like street art, dive bars, cheap rents, or indie music.
Bloomingdale, the first part of the city built outside of the L'Enfant Plan, is another favorite, even if somewhat isolated and lacking in amenities. Residential, with a coffee shop as its only meeting place, its turreted Victorian rowhomes are among my favorite, having every bit of the detail as the more expensive, better-known ones in Dupont and Logan. It is the city's walkable, human-scaled rowhome neighborhoods that I find most ideal and livable.
Prevalent in neighborhoods with multi-generational native Washingtonians, like Anacostia and Petworth, is a quaint Southern vibe. People on porches greeting passerbyers, getting dressed up on Sundays, and Southern cuisine and mannerisms. Same goes for the WASPy Brooks Brothers look-alikes in Chevy Chase. On a personal note, the familiarity of sweet tea, peach cobbler and grits resonates well with my stomach. To this Angeleno, these traits, coupled with a distinctive Southern drawl, spell out an unmistakable Southern influence.
Posted by Devan at 7:44:00 AM Comments
Portland, continued
Thursday, September 1, 2011
Posted by Devan at 12:33:00 AM Comments


text:
Docket Management
Docket: 00N-1256 - Over-the-Counter Products
Comment Number: EC -44
Accepted - Volume 6
Comment Record
Mr. Bill Duma
2000-06-27 16:15:07
Comments for FDA General
1. General Comments
The release of frequently prescribed medicines to the ober the counter market will benefit consumers. I am taking a maintenance drug at this time. The doctors require a visit every 90 days. I have been taking this medicine for five years. To circumvent this requirement, I have developed other sources of the drug especially Mexico. Insurance companies also limited the quantity of drugs you can obtain at one time. For example, my wife takes a maintenance estrogen. The insurance companies restrict here to a 30 days supply. This means that each and every month she must go to the drugstore and get the drug. Each time she is required to pay the HMO fee of $10. These drugs should somehow still fall under the insurance blanket. You need to establish a third form of medication so that th insurance still pays the cost. Thank you


text:
Nick and Lauren Carter wanted unisex look for son's nursery
Nick and Lauren Carter wanted a "unisex look" for their son Odin Reign's nursery.
The proud parents welcomed Odin in April and turned to Tori Swaim, the owner of New Arrivals Inc (www.newarrivalsinc.com), to help them find the ideal baby bedding and accessories to complement Stephanie Avila's work designing the room and create the perfect space for their little one.
Speaking exclusively to BANG Showbiz, Tori explained: "All clients are different as far as how much input they give when designing a nursery. Lauren Carter asked me to show her our neutral fabrics for the baby bedding, as she wanted a unisex look for Odin's room. She has amazing style, so her input into the design of the bedding was welcomed.
"After browsing through our neutral fabrics, she and I settled on our Newport Linen fabric (which gave the bedding some texture), Navy Herringbone, Black Spotted and Ecru arrow fabrics. We used the linen as the base for the crib set and added in the other fabrics via sheets, blankets and changing pad covers. We lined the blankets with our super soft faux fur fabric, which is perfect for snuggling. All of the patterns and colours she chose melded perfectly together with the rest of the room for a classic look."
And Lauren and Backstreet Boys star Nick were delighted with the results.
Tori said: "They loved all of it!"
Tori is extremely proud of her work with the Carters on their nursery for Odin and revealed her favourite items.
She said: "I love the textured linen crib skirt and the navy herringbone fabric. The navy gives a great pop of colour to the neutral toned nursery."
Nick, 36, and fitness expert Lauren, 33 - who tied the knot in 2014 - welcomed Odin into the world via a water birth at their home in April and the smitten parents can't resist showing him off, sharing a number of images of their baby on social media.
For more information on Tori and the products in Odin's nursery, go to www.newarrivalsinc.com. Meanwhile, Stephanie's work can be seen at www.rockabyemommy.com.


text: The European markets watchdog was investigating whether the big three credit ratings agencies' methods of evaluating banks were rigorous and transparent enough, its chairman, Steven Maijoor, told the Financial Times yesterday. The European Securities and Markets Authority was inspecting Standard & Poor's, Fitch and Moody's Investors Service, and it expected to finish by the end of the year, the newspaper said. Maijoor said the watchdog was not attempting to influence the ratings but was only asking that the agencies' choices made economic sense and were logical. – Reuters


text:
The player character (like in other games) is in his/her room. After going to down floor, player's mother says you should hurry to the professor's home to earn first Pokemon. Doing so, Kyne, a kid that recently moved into town say to you how he excited is that he will receive his Pokemon too, and he rushes to the laboratory. You follow him, but, unlucky, bridge breaks under you and Kyne. Player is then attacked by Pokemon, and Kyne was yelling for help. Quickly, the professor runs and throws his bag for you to choose Pokemon. After choosing it, the player battles the Pokemon, and climbs on land. Later, Kyne and player are in professor's lab receiving their Pokedexs and Pokeballs. Later, player goes to his home and tells his/her mother what happenen. Them, she allowed you to go on adventure and you receive your adventuring clothes. After that, Kyne rushes to you and shows you road to Gacho Town and gives you a few Pokeballs, and he runs to the town ahead. Later, when you arrive in town, you accidentaly run into a mailman named Porte, and after talking to him a bit, he suggers to sign up in Mailpost in town. As soon as you enter, Kyne accidentaly runs at you and challenges you to battle (which is the first Trainer battle in game). After battle, he says that there is a small tourmanent in near town, and he rushes there. After a while, Porte runs there too. Later, when you arrive in Falbael City, you found the city is attacked by Cargos. Kyne them appears and says he is trying to get rid of them, and suggest you to help too. After defeating all of them (or catching), Kyne challenges you and uses his newly catched Cargo (if you haven't choosed Culla). Before you could head to gym, you see some people wearing odd costumes. As you have seen them, they attack you. After defeating them, Porte arrives, and delivers you a Badge Case from your mom. Shortly after that, you see official ceremony of the gym opening. It's also said that Ratchel, city's construction chief, will be the new gym leader of the Falbael Gym, and he enters his gym. Kyne them rushes to gym ahead of you.
More to come...
- Daniel, male player character.
- Dana, female player character.
- Hunter, the rival
- Professor Flytraper, the professor of Tanfo region.
- Porte, a postman and a reccuring character.
- Einez, leader of Team Freeze
Gym Leaders
- Sadie, the first gym leader, specializes in Rock type Pokemon.
- Rodney, the second gym leader, specializes in Electric type Pokemon.
- Wilbur, the third gym leader, specializes in Water type Pokemon.
- Gerda, the fourth gym leader, specializes in Psychic type Pokemon.
- Olivia, the fifth gym leader, specializes in Grass type Pokemon.
- Herbert, the sixth gym leader, specializes in Fight type Pokemon.
- Martin, the seventh gym leader, specializes in Dragon type Pokemon.
- Courtney, the eight gym leader, specializes in Ground type Pokemon.
Pokemon League
- Elite Four
- Indy, an expert on Ghost type Pokemon.
- Vance, an expert on Fire type Pokemon.
- Flynn, an expert on Flying type Pokemon.
- Derek, an expert on Dark type Pokemon.
- Robert, an expert on Steel type Pokemon and Pokemon Champion.
New Features
There are so far revealed new features:
- PokéBank, which let's you store money and items and send them to other players.
- A brand new region.
- You are able to buy upgrades to your room and able to decorate it.
- Ability to use weather-changing moves out of battle.
- You can now check your friends' boxes.
- You can buy clothes and wear them.
- Other trainers will sometimes have Shiny Pokemon. (however, important characters like Kyne or Team Freeze can't have one at all)
- Biking races.
- The Time Machine, which allows you to re-do some of events from game, and changing graphics to 8-bit.
- Altrought Tanfo Dex include only new Pokemon, there's an expansion, which let's to see old Pokemon that are related to new ones.
Changes to Pokemons
- Tropius base stat total is now 500, and got wider moveset, because it now have a pre-evolution.
- Most of old Pokemon can learn new attacks.
New Moves
- Ram (Normal type, Base power of 60 with accurancy of 100, works similiar to Quick Attack)
- Stop Now (Normal type, makes moves like Pursuit useless, accurancy of 100)
- Shadow Smack (Dark type, Base power of 70 with accurancy of 100)
- Steel Head (Steel type, Base power of 50 with accurancy of 90)
- Flight Kick (Fighting type, Base power of 40 with accurancy of 100, sometimes it makes enemies flinch)
- Fire Up (Fire type, raises power of Fire attacks used by user)
- Water Up (Water type, raises power of Water attacks used by user)
- Grass Up (Grass type, raises power of Grass attacks used by user)
- Demon Stare (Ghost type, affect enemy with a random status effect, accurancy of 80)
New Trainer Classes
- Naughy Boy
- Mailman
- Freeze Grunt
- Guide
- Shopkepper
- Construction Chief
- Hoenn Champion
- Bully
- Freeze Admin
- Freeze Boss
New Items
- Banana Incense (increases wild Pokemon encouter rate, causes Tropius egg to be a Tropling egg)
- Hot Chocolate (rescores 100 HP and heals from freeze)
- Coffee (restores 40 HP and heals from sleep)
- Day Ball (the higher catch rate is when the earlier time it is)
- Zap Ball (the higher catch rate is when the enemy is Electric-type Pokemon)
- Young Ball (the higher catch rate is when the enemy is a baby Pokemon)
Key Items
- Scanner (allows you to see all the items and Pokemon in area, however, it can't find Legendary Pokemon)
- Cyan Points (you get them if you connect to Pokemon Cyan or Orange, and trade them for most of Cyan and Orange items/Pokemon, only able to get in Azure)
- Orange Points (you get them if you connect to Pokemon Cyan or Orange, and trade them for most of Cyan and Orange items/Pokemon, only able to get in Scarlet)
- Violet Points (you get them if you connect to Pokemon Violet or Lime, and trade them for most of Violet and Lime items/Pokemon, only able to get in Azure)
- Lime Points (you get them if you connect to Pokemon Violet or Lime, and trade them for most of Violet and Lime items/Pokemon, only able to get in Scarlet)
New Pokémon
There are so far revealed new Pokémon:
- 650 - Balasko (based by basilisc lizard) - Grass
- 653 - Monchac (based by manatee) - Water
- 656 - Culla (based by armadillo) - Fire
- 660 - Vald (A bird pokemon, sort of Pidgey or Starly) - Normal/Flying
- 661 - Kard (Vald's evolution) - Normal/Flying
- 662 - Valah (Kard's evolution) - Normal/Flying
- 666 - Heavu - Ghost
- 680 - Pufly (Qwilfish's evolution) - Water/Poison
- 681 - Tropling - Grass/Flying
- 682 - Cargo - Water/Dark
- 683 - Carmelo (Cargo's evolution) - Water/Dark
- 687 - Poinbo - Poison
- 688 - Plunga (Poinbo's evolution) - Poison
- 689 - Falozon (Plunga's evolution) - Poison/Steel
- 700 - Mosre - Normal
- 701 - Erupte (Mosre's evolution) - Fire
- 702 - Shockte (Mosre's evolution) - Electric
- 703 - Wavete (Mosre's evolution) - Water
- 715 - Sharpee - Rock
- 716 - Belpen (Sharpee's evolution) - Rock/Steel
New Locations
Tanfo Region
- Flovil Town: A town which is on sea. It is player's hometown, and is at corner of the region. As the player doesn't have Surf while he/she is in the town for first time, he/she must explore on series of bridges. There is also an far island, which haves a Blue Flute on it.
- Gacho Town: A town that is found after walking trough Route 301. It has an Post Station, where Porte works. You can also find Pokemon Center and Pokemart there. You can fish there to find a Finneon, which are rare in the region.
- Falbael City: The first big city to be found in game. There is one of two department stores from Tanfo, and first gym. At first, the city is attacked by Cargos, so you can't access all areas, but after defeating them, you can go to most of areas.
- Falbael Garden: Huge garden that it's near Falbael City. The place is accessed only after E4, as it includes Pokemon from previous regions, and there, you can import your Pokemon from previous generations.
- Pidgey
- Geodude
- Krabby
- Rhyhorn
- Zubat
- Yanma
- Hoothoot
- Elekid
- Magby
- Smoochum
- Lotad (Azure Only)
- Seedot (Scarlet Only)
- Whismur
- Electrike
- Trapinch
Battle Island
- Fan Tower: A place where you can battle various Fantendo users' OCs. As this place is at Battle Island, it can be only accessed after beating Elite Four, plus after getting atleast one silver print.
- Route 301: A route which is near Flovil Town. Because of that, most of route is also covered in the water. You can find some wild Pokemon there. You can find there two Potions and a Pokeball. After getting third badge, owner of Bicycle Shop can be found there on Sundays. There is list of Pokemon able to be found there:
- Vald
- A New Pokemon
- Heavu (only at night)
- Bidoof (Insert Diamond into DS slot)
- Caterpie (Insert Heart Gold into DS slot)
- Route 302: A route near Gacho Town. The route is rather longer that most of routes, but you can find some good Pokemon there. You can find a Pokeball there and a Tiny Mushroom via Itemfinder. There is list of Pokemon able to be found there:
- Tropling
- Vald
- A New Pokemon
- Heavu (only at night)
- Kricketot (Insert Pearl into DS slot)
- After beating Elite Four, you may encouter Wallace at Falbael City, at summer during morning or afternoon. If you talk to him, you can challenge him to battle. It's known that he will have Lv. 84 Milotic, Lv. 82 Carmelo, Lv. 80 Burungel, Lv. 82 Empoleon, Lv. 80 Gyarados and Lv. 83 Politoed.
- Eusine can be encoutered in Gacho Town, before and after Elite Four, still searching for Suicune. After beating Elite Four, when talked to, he will discover Raikou (Scarlet) or Entei (Azure), and you can catch them. When you will have both, he will discover Suicune, and you can catch it too. Later, he will tell you some legends of Johto if you want listen to them. If you will hear all of his stories, he will give you a Bell Tower model.


text:
Genetic variation in the odorant receptors family 13 and the mhc loci influence mate selection in a multiple sclerosis dataset
When selecting mates, many vertebrate species seek partners with major histocompatibility complex (MHC) genes different from their own, presumably in response to selective pressure against inbreeding and towards MHC diversity. Attempts at replication of these genetic results in human studies, however, have reached conflicting conclusions.
Using a multi-analytical strategy, we report validated genome-wide relationships between genetic identity and human mate choice in 930 couples of European ancestry. We found significant similarity between spouses in the MHC at class I region in chromosome 6p21, and at the odorant receptor family 13 locus in chromosome 9. Conversely, there was significant dissimilarity in the MHC class II region, near the
This study highlights complex patterns of genomic identity among partners in unrelated couples, consistent with a multi-faceted role for genetic factors in mate choice behavior in human populations.
When selecting mates, individuals of many vertebrate species favor partners with heterologous major histocompatibility complex (MHC) genes
The recent availability of highly efficient genome-wide genotyping platforms affords deeper marker saturation in regions of interest as well as the performance of hypothesis-neutral screens. In this study, a screen with 309,100 single nucleotide polymorphisms (SNPs) in 930 unrelated couples of European ancestry was used to assess genetic similarity between spouses. Quality-controlled genotypic data was obtained from the International Multiple Sclerosis Genetics Consortium (IMSGC) from a study performed to identify multiple sclerosis (MS) susceptibility genes
Genetic similarity/dissimilarity between spouses was assessed using three parallel approaches. Relatedness coefficient R1 (defined in methods) measures similarity across genetic regions, while R2 measures similarity at individual SNPs. A third approach seeks the preponderance extreme R2 values across regions. In this way, we allowed for a region to exhibit similarity and dissimilarity independently. This is important for gene-rich regions such as the MHC, which could potentially have an intricate role in mate preference. Relatedness coefficients are positive when spouses are more similar than random pairs of individuals, and negative when spouses are more dissimilar.
Genome-Wide Similarity
Genome wide, the partners in the 930 couples of European descent included in this study are more genetically similar than expected by chance (R1 = 0.00152, positive values of R1 indicate genetic similarity;
Hypothesis-Neutral Results
Using sliding windows of 3.6 Mb (in 100 Kb increments), there were 21,665 regions with at least 300 SNPs. The top 100 regions exhibiting excessive similarity or dissimilarity (extreme values of R1) are shown in Additional file
Additional file 1
Table S1. Top similarities at the regional level using R1. Each of the top regions was compared against all regions from the genome with lower recombination rate if the region is lower than average, or higher recombination rate if the region is higher than average. On the far right, we see what results would look like using the more homogeneous subset (803 couples of Western European descent) of the population (see Methods).
Click here for file
Additional file 2
Figure S1. Average relatedness coefficient R1 between spouses at 3.6 Mb regions throughout the genome versus recombination rate. More extreme values of R1 are seen in regions of lower recombination rates. The HLA region is shown in red. Compare to Figure 2 of Chaix et al.
Click here for file
On the other hand, using Pearson Correlation (R2) for SNPs that showed significant similarity or dissimilarity among couples in the screen, 38 individual SNPs passed the genome-wide significance threshold (fdr < 0.1) (Figure
Figure 1
Additional file 3
Table S2. Genome-wide SNP-level results. Approximately 4,000 most highly correlated SNPs among the 930 IMSGC couples. This includes positive and negative correlation. All SNPs with a one-tailed
Click here for file
An examination of the Fisher meta value at the regional level is shown in Additional file
Additional file 4
Table S3. Top similarities at the regional level using Fisher values. Regions exhibiting an abundance of significantly similar SNPs (R2 > 0).
Click here for file
Additional file 5
Table S4. Top dissimilarities at the regional level using Fisher values. Regions exhibiting an abundance of significantly dissimilar SNPs (R2 < 0).
Click here for file
The MHC
Using R1, we observed an overall trend of similarity across the entire MHC that is not significant (R1 = 0.0051, uncorrected
Using R2, no individual SNP from the MHC passed the genome-wide threshold of significance. The top MHC SNP
Using the Fisher meta value, the MHC region as a whole showed a greater excess of significantly similar SNPs than the rest of the genome (Fisher meta value = 7.7 * 10-10 ,
Table 1
Regional spousal identity.
Similarity only
Fisher meta
P value
Mean Fisher
HLA region
7.7 * 10-10
HLA class I region
1.0 * 10-8
HLA class II region
HLA class III region
6.4 * 10-6
OR13 region chr. 9
3.8 * 10-43
8.8 * 10-5
Dissimilarity only
Fisher meta
P value
Mean Fisher
HLA region
HLA class I region
HLA class II region
HLA class III region
OR13 region chr. 9
Fisher meta
P value
Similarity and Dissimilarity
Mean Fisher
HLA region
7.5 * 10-9
HLA class I region
7.3 * 10-7
HLA class II region
HLA class III region
2.6 * 10-5
OR13 region chr. 9
7.7 * 10-29
Recombination rate cM/Mb
HLA region
HLA class I region
HLA class II region
HLA class III region
OR13 region chr. 9
The MHC region as a whole shows similarity between couples. When broken down into classes, class I shows significant similarity between couples. Of the three MHC classes, class II shows the most dissimilarity between couples, albeit not statistically significant. HLA-B and HLA-DRA denote the boundaries between the three MHC classes. UCSC Build 35 coordinates are shown.
Figure 2
MHC correlation plot
MHC correlation plot. The y-axis shows the correlation between couples at each SNP. Positive correlation means that the SNP shows identity between couples; negative correlation means that the SNP shows dissimilarity between couples. The size of the points is proportional to the SNP-wise significance. The color of the points indicates the function of the SNP (from UCSC). The MHC region is a mosaic of positive and negative correlations. Classes I and II are shaded grey. Proposed MS-related genes are highlighted with red stars. Positions and gene symbols are from UCSC (build 36).
Genetic similarity among couples was not ubiquitous throughout class I; a locus of dissimilarity was found at 31.0 Mbp, within a gene-rich region including
Additional file 6
Figure S2. Validation on MHC results with the IMAGEN dataset. In the screening IMSGC dataset, the MHC region (663 SNPs) was identified in the candidate-region approach as a mosaic of similarity and dissimilarity. 920 of the 930 couples were re-genotyped by a dense custom Illumina Platform (IMAGEN dataset: 1,078 SNPs passed quality control). (A) The pattern of similarity found in the IMAGEN dataset is comparable to that found in the screening (Figure 2). (B) 150 MHC SNPs were in common between IMAGEN and IMSGC. For each SNP passing quality control (94 SNPs), similarity between couples was calculated separately in both datasets. The correspondence of similarity scores between the two datasets was high (r2 = 0.94).
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Additional file 7
Table S5. IMAGEN regional p values. Regional scoring of the 3 MHC classes (Fisher meta value) was done in the same manner as the IMSGC. P values are obtained by shuffling couples 50,000 times.
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Next, imputation of 6 classical HLA alleles (A, B, C, DRB1, DQA1, and DQB1) was performed using this dense coverage (Additional file
Additional file 8
Table S6. Imputed classical HLA alleles. Two of the class II genes,
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Functional Odorant Receptor Family 13
Functional odorant receptor (OR) families (13 and 18) are located in clusters on various chromosomes. Only one such cluster (from family 13) was large enough for analysis. A 500 Kbp region covering 8 consecutive
Figure 3
OR13 correlation plot on chromosome 9
OR13 correlation plot on chromosome 9. A set of markers 200-300 Kbp upstream from 8 consecutive
Multiple-Sclerosis-Associated SNPs
Eleven non-MHC SNPs covered in this study are reportedly associated with MS risk. Similarity between couples (R2) is not significant at these SNPs, after a correction for 11 multiple hypotheses (Additional file
Additional file 9
Table S7. Multiple-Sclerosis-associated SNPs. Spousal identity (R2) and uncorrected p-value for 11 SNPs associated with multiple sclerosis. After correction for 11 multiple comparisons, the spousal identity is not statistically significant.
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Association with Observed Homozygosity in the General Population
If humans tend to select mates that are similar to self at certain genetic loci, then we would expect those loci would show excessive homozygosity in the population over time (Additional file
Additional file 10
Figure S3. Parental similarity versus offspring heterozygosity. When parents choose mates that are similar to self at a given SNP, the result is excessive homozygosity in the children (an excess of homozygous genotypes at that SNP). Conversely, when parents choose mates that are dissimilar to self, the result is excessive heterozygosity in the children. In a simulation, random genotypes for 22,500 SNPs (2,500 with each MAF ϵ(0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45)) were generated for 1,000 sets of parents. At each SNP, the similarity measure (Pearson correlation) was calculated between the vectors of parental genotypes (shown on the y-axis). For each SNP, the genotypic frequencies of the offspring of the 1,000 sets of parents were calculated based on Mendelian inheritance. The observed frequency of heterozygotes in the offspring was divided by the expected frequency of heterozygotes, assuming Hardy Weinberg equilibrium (x-axis). A value higher than 1 on the x-axis means that offspring have a greater than expected frequency of heterozygotes, while a value smaller than 1 on the x-axis means that offspring display excessive homozygosity. These plots show that SNPs which show similarity between parents (high values on the y-axis) are more likely to show excessive homozygosity in the offspring (low values on the x-axis). To extend the concept: if parents select mates that are similar to self at a given SNP, over many generations we expect excessive homozygosity in the general population compared to Hardy Weinberg equilibrium.
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Table 2
Excessive homozygosity in the general population.
Observed (expected)
Excessive heterozygosity
Excessive homozygosity
Dissimilar among couples
16 (7.97)
20 (28.03)
Similar among couples
13 (21.03)
82 (73.97)
SNPs that are dissimilar among couples in the IMSGC dataset tend to show excessive heterozygosity in the HapMap CEU samples, while markers that are similar among IMSGC couples show excessive homozygosity in the HapMap samples (chi-square
We performed a genome-wide analysis of genomic identity in 930 White couples of European ancestry, and report (i) a significant similarity in couples' genotypes at MHC class I (ii) novel significant similarity among couples in SNPs linked to the
MHC, Mate Selection, and Multiple Sclerosis
In mice, MHC genotypes have been shown to be a determining factor in mate selection in some strains but not in others
Our results contribute to this ongoing exploration by finding an abundance of genetic similarity among couples (parents of children with MS) across class I of the MHC. Within class I, much of the similarity occurs near the HLA-E gene. HLA-E is a member of the non-classical class I genes (Ib), with characteristically low polymorphism across primates. Assortative mating may be driving the relatively low polymorphism in this gene. One of the drivers of high polymorphism in HLA genes is "crossing over" events during meiosis. Crossing over fails to increase polymorphism in homozygous individuals. Homozygous individuals are more frequent in the population when mating is associative.
This study sampled much older couples than the majority of previous studies. For 73% of the couples in this study, the mating event (successful breeding) occurred in the 1950's and 1960's. Just as we recognize that our findings of MHC class I similarity may be specific to the ethnicity of our population, we must allow that the results may be specific to this post-war generation.
When considering these results in the context of human mate selection, it is important to note that MS is a complex genetic disease strongly associated with the MHC class II gene
The consequences of any deviation from random mating for human disease, particularly autoimmunity, are unknown, but regions of extreme similarity or dissimilarity among parents of affected individuals may be related to the presence of susceptibility and/or resistance loci. Furthermore, random mating is a commonly accepted assumption for most statistical genetic models usually performed to assess genetic association. If non-random mating exists, association studies should correct for the expected departure from Hardy Weinberg equilibrium assumptions.
Olfaction, the proposed mechanism for MHC recognition, is involved in a variety of mating-related behaviors. While there is no genetic evidence to directly link odorant receptors to mate selection, the connection between olfaction and sexual behavior is well established. Olfaction is a necessary step in the mating mechanism for rodents and the kin-recognition mechanism in both humans and rodents. Specifically, mice respond to the scent of naturally abundant urinary proteins
The genetic identity in the region was found 200-300 Kb upstream from the cluster of 8 consecutive OR13 genes. This would indicate that it is not protein identity, but rather some form of long-range gene regulation that is associated with mate selection. Long-range enhancers found in gene deserts are known to act at distances of hundreds of kilo base pairs
We have seen a complex role for genetic similarity in mate choice, in particular genes of the MHC and odorant receptor family 13. Regarding the MHC, the observed interaction is not ubiquitous throughout the 3.6 Mbp region. Rather, the interaction is different from class to class, and from gene to gene. As higher resolution scans and sample populations of other ancestries, environments, and phenotypes (in particular non-MHC diseases) become available, deeper analysis of the roles of individual genes and functional pathways in mate selection and implications for health and disease will become possible.
a) 334,923 Single Nucleotide Polymorphism (SNPs) from the International Multiple Sclerosis Genetics Consortium (IMSGC) dataset, typed by Affymetrix 500K GeneChip in 931 European and European American couples (1862 individuals). Samples came from collections the University of California, San Francisco (417 couples), the Cambridge University Hospital Multiple Sclerosis Center (453 couples), and the Brigham and Women's Hospital (61 couples). The mean age was 71.2 (sd = 9.5) for males and 68.6 (sd = 9.2) for females. For 73% of couples, the mating event (successful breeding) occurred in the 1950's and 1960s. Divorce status and length of marriage was not recorded. One couple was removed because one parent was affected with multiple sclerosis (MS). 930 couples, each with a child afflicted with MS were used for analysis presented here. We included only autosomal SNPs with minor allele frequency above 5%, missing no more than 10% of genotypes in males or females (309,100 SNPs). This dataset is available on dbGAP (phs000139.v1.p1)
b) 1,536 SNPs in the extended MHC region from the International MHC and Autoimmunity Genetics Network (IMAGEN)
c) A set of HLA types for 6 of the main HLA genes imputed from the IMAGEN SNP genotypes by the original authors.
d) Candidate SNPs were genotyped by PCR in 387 couples from the IMSGC dataset and 393 new European American couples. Both datasets were collected using the same inclusion criteria and have a similar distribution of age and ethnicity. Notably, these 393 new couples are also parents of children with MS.
Relatedness Analysis
The following approaches for measuring genetic similarity were used in parallel.
a) In the IMSGC dataset, a relatedness coefficient R1 was defined for each couple at each variant as a ratio of probabilities of identity in state R1 = (Qc -Qm)/(1 -Qm), where Qc is the proportion of identical variants between the two spouses and Qm is the mean proportion of identical variants in the sample (an average over all possible pairs). For SNPs, the proportion of identical variants between two individuals is 1 if both individuals are homozygous for the same allele, 0.5 if either individual is heterozygous, and 0 otherwise. For larger genetic regions of at least 300 SNPs, Qc and Qm were averaged across all SNPs in the region. The significance of R1 was assessed using a permutation approach: the two-sided
b) In the IMSGC dataset, another relatedness measure R2 was defined at individual SNPs across all couples as the Pearson correlation between fathers' and mothers' genotypes (recoded as 0, 1, and 2). A comparison of R2 and R1 at individual SNPs is discussed in Additional file
Additional file 11
Text S1. Comparison of two measures of similarity.
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Additional file 12
Text S2. Comparison of two methods of assessing significance of Pearson Correlation as a measure of similarity.
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c) In the IMSGC dataset, we next tested the hypothesis that an abundance of significant positive similarity exists among SNPs in a given region, say the MHC. For that purpose we combined the
We also tested the hypothesis that an abundance of significant negative similarity exists among SNPs in a given region. For this, we repeated the above steps using only SNPs showing dissimilarity (R2 < 0). In this way, we allowed for a region to exhibit similarity and dissimilarity independently. This is important for gene-rich regions such as the MHC, which could potentially have a multifaceted role in mate preference.
d) Validation of observations in the MHC region was performed using the IMAGEN study. For each SNP, significance of the similarity score was assessed by 50,000 permutations. Regional scoring of the 3 MHC classes (Fisher meta value) was done in the same manner as the IMSGC. However, the procedure for assigning significance to the Fisher meta value was necessarily different from that used for the IMSGC dataset; with the IMAGEN dataset, we did not have the entire genome to use as a background. Instead, we created a regional background by shuffling couples 50,000 times, each time calculating the Fisher meta value on each of the 3 MHC classes. The percent of random Fisher meta values from the background that are lower than the observed Fisher meta value of each region is reported as the
e) For each of the six HLA genes from the IMAGEN study, a similarity score was calculated as follows. Each gene was given one point for each couple that shares one common allele at that gene, and two points for each couple that has both alleles in common. The similarity score for each gene was the total number of points across 920 couples. Couples were reassigned 20,000 times and similarity scores recalculated, creating a background distribution.
f) For SNPs genotyped by PCR, significance of the similarity measure (Pearson correlation) was assessed by using a normal distribution with mean and standard deviation estimated from 200,000 random measurements (where the spouses were randomly re-assigned). Normality of the background distributions was assessed by visual inspection and the Anscombe-Glynn test of kurtosis.
Linkage Disequilibrium
We checked that results are not affected by varying SNP density and linkage pattern across the genome by re-doing our analyses on reduced sets of approximately independent SNPs. Haplotype block tagging SNPs were selected genome-wide at r2 thresholds of 0.25, 0.5, and 0.75 using software Plink.
Control for Ethnic Diversity
An earlier study with a large sample size (n = 1,017 couples) that also found HLA similarity between couples suggested a possible confounding issue. The existence of ancestral or ethnic stratification with characteristic HLA types may influence the degree of genetic identity between couples
Additional file 13
Figure S4. Hierarchical clustering. Using IBD distances calculated in software Plink, Ward agglomerative clustering (done in R) reveals a large cluster (A) of Scandinavian and western Europeans on the left. Smaller clusters on the right include (B) Eastern European (Russian and Polish) Ashkenazi Jews, (C) Mediterranean/Western European, (D) Hispanic with some Mediterranean, (E) Mediterranean, (F) non-Ashkenazi Eastern European. Self-reported ethnicity data was available for about 1/3 of the samples. This data is shown below the clusters. A red dot on the "Polish" row means that the person reports being Polish. A black dot means that the person did not report being Polish. The grey background means that no self-reported data was available for that person. Just above the self-reported ethnicity rows (black and red) is a single row showing cohort. Each sample belonged to one of three cohorts (UCSF = green, BWH = black, CMS = red). Note that nearly all samples from the non-western European group (B-F) came from the UCSF cohort.
Click here for file
In this paper, we chose to present the results from all 930 couples. When filtering for a more homogeneous western European population, we are removing a number of inter-group spouses (i.e. where one spouse is western European and the other is not). Inter-group mating events are a real phenomenon that we want to capture in the analysis.
PCR validations and replications were done with a made-to-order Applied Biosystems TaqMan SNP genotyping assay, and carried out in 384-well plates using Applied Biosystems TaqMan genotyping Master Mix on an ABI Prism 7900HT Sequence Detection System using SDS 2.1 software.
Imputation of HLA Alleles
Imputation of HLA Alleles from dense SNP coverage was performed by the authors of the IMAGEN paper
Authors' contributions
JRO, SLH, SEB, PAG, and PK conceived and designed the study. SJC carried out the rt-PCR assays. AS recoded HLA types and provided data management. PK performed the statistical analysis. JRO, SEB, and PK wrote the manuscript. All authors read and approved the final manuscript.
We thank the International Multiple Sclerosis Genetics (IMSGC) and International MHC Autoimmunity Genetics Network (IMAGEN) consortia, which were responsible for the original data collection as well as the first level of quality control analysis. Sarah Hill provided editorial assistance.
This work was supported by the National Multiple Sclerosis Society (NMSS) Collaborative Research Award CA 1035-A-7 (JRO and SEB), NMSS RG2901 (JRO), and RO1 NS26799 (SLH and JRO), which had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. SEB is a Harry Weaver Neuroscience Scholar of the NMSS. The International MS Genetics Consortium (Supported by R01 NS049477) and the IMAGEN Consortium (supported by U19 AI067152) provided the data.
Social pairing and female mating fidelity predicted by restriction fragment length polymorphism similarity at the major histocompatibility complex in a songbird
Olfactory signals and the MHC: a review and a case study in Lemur catta
MHC and kin discrimination in juvenile Arctic charr, Salvelinus alpinus (L.)
Major histocompatibility complex and mate choice in sand lizards
Familial imprinting determines H-2 selective mating preferences
Control of mating preferences in mice by genes in the major histocompatibility complex
HLA and HIV-1: heterozygote advantage and B*35-Cw*04 disadvantage
Escape of human immunodeficiency virus from immune control
MHC heterozygosity confers a selective advantage against multiple-strain infections
The Evolution of Mating Preferences and Major Histocompatibility Complex Genes
MHC-correlated mate choice in humans: a review
HLA and mate selection in humans: commentary
Is mate choice in humans MHC-dependent?
Absence of Evidence for MHC-Dependent Mate Selection within HapMap Populations
The major histocompatibility complex and mate choice: inbreeding avoidance and selection of good genes
New perspectives on mate choice and the MHC
Good genes, complementary genes and human mate preferences
Genetic basis for MHC-dependent mate choice
HLA and mate choice in humans
HLA and mate selection: no evidence in South Amerindians
HLA and reproduction?
HLA and Human Mate Choice: Tests on Japanese Couples
No role of HLA in mate selection
Genetic similarity and mate selection in Uruguay
Tests of random mating for a highly polymorphic locus: application to HLA data
HLA and mate selection
Common HLA alleles associated with health, but not with facial attractiveness
Genetic diversity revealed in human faces
MHC-assortative facial preferences in humans
MHC-heterozygosity and human facial attractiveness
Major histocompatibility complex genes, symmetry, and body scent attractiveness in men and women
Paternally inherited HLA alleles are associated with women's choice of male odor
MHC-correlated odour preferences in humans and the use of oral contraceptives
New evidence that the MHC influences odor perception in humans: a study with 58 Southern Brazilian students
Body odour preferences in men and women: do they aim for specific MHC combinations or simply heterozygosity?
MHC-dependent mate preferences in humans
Risk alleles for multiple sclerosis identified by a genomewide study
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Mapping of Multiple Susceptibility Variants Within the MHC Region for Seven Immune-Mediated Diseases
PLINK: a tool set for whole-genome association and population-based linkage analyses
Evolution of MHC genetic diversity: a tale of incest, pestilence and sexual preference
Wisdom through immunogenetics
Olfactory bulb removal eliminates mating behavior in the male golden hamster
Scent-Marking by Male Mammals: Cheat-Proof Signals to Competitors and Mates
The genetic basis of inbreeding avoidance in house mice
Distinctive urinary odors governed by the major histocompatibility locus of the mouse
A second major histocompatibility complex susceptibility locus for multiple sclerosis
Epstein-Barr virus in multiple sclerosis
High-resolution patterns of meiotic recombination across the human major histocompatibility complex
Olfactory bulb removal eliminates maternal behavior in the mouse
Olfactory bulb removal: influences on the mating behavior of male mice
Differential use of sensory information in sexual behavior as a function of gender
The MHC and body odors: arbitrary effects caused by shifts of mean pleasantness
Rapid mood change and human odors
He sees, she smells? Male and female reports of sensory reliance in mate choice and non-mate-choice contexts
Sustained human chemosignal unconsciously alters brain function
Evidence that androstadienone, a putative human chemosignal, modulates women's attributions of men's attractiveness
The human olfactory receptor gene family
Long-range gene control and genetic disease
Long-range control of gene expression: emerging mechanisms and disruption in disease
Disruption of a long-range cis-acting regulator for Shh causes preaxial polydactyly
Scanning human gene deserts for long-range enhancers
Campomelic dysplasia translocation breakpoints are scattered over 1 Mb proximal to SOX9: evidence for an extended control region
Deletion of long-range regulatory elements upstream of SOX9 causes campomelic dysplasia
Inbreeding and relatedness coefficients: what do they measure?
Combining independent tests of significance
Testing for non-random mating: evidence for ancestry-related assortative mating in the Framingham heart study
Multidimensional Clustering Algorithms
A statistical method for predicting classical HLA alleles from SNP data
A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC


text:
Born Yesterday
Boorish business tycoon Harry Brock (Broderick Crawford) fears that ditsy fiancée Billie Dawn (Judy Holliday) will prove an embarrassment in the presence of politicos he wants to influence, so he hires a reporter (William Holden) to tutor the ostensibly brainless blonde in the political and social graces. Brock gets more than he bargained for, however, when the journalist transforms Billie into the backroom dealmaker's most formidable foe.
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Movie Details
- Director
- George Cukor
- Genres
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- Best Actress in a Motion Picture (Drama) nominee
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- Top 100 Laughs
- 1951 Academy Award®
- Best Actress: Judy Holliday
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NRNot rated. This movie has not been rated by the MPAA.
Full Screen 1.33:1Subtitles
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NoLanguage and sound
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filmed in B&W, production notes , trailer(s) , cast and crew information
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Common Sense Note
- Age appropriate
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- Depends on your kid and your family
- Not appropriate for kids of the age most likely to want to see it


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3. Right to Verbally Object. You have the right to verbally object to certain disclosures that are routinely made for treatment, payment or healthcare operations or for other purposes without an Authorization. For example, we are required to give you an opportunity to object to the sharing of your health information with a person or family member accompanying you for treatment.
4. Right to Seek an Amendment of Your Health Information. You have the right to request an amendment of your health information. If we disagree with the requested amendment, we will permit you to include a statement in the record. Moreover, we will provide you with a written explanation of the reasons for the denial and the procedures for filing appropriate complaints and appeals.
5. Right to an Accounting of Disclosure of Your Health information. You have the right to receive an accounting of disclosures made by us of your health information within six (6) years prior to the date of your request; provided, however that we need not provide an accounting for any information disclosed prior to April 14, 2003. The accounting will not include disclosures related to treatment, payment or health care operations, disclosures made to you, disclosures made pursuant to a validly executed authorization, disclosures permitted by the Privacy Regulations, disclosures to persons involved in your care, or disclosures that occurred prior to the April 14, 2003 compliance deadline under the Privacy Regulations. The accounting of disclosures shall include the date of each disclosure, name and address of the person or organization who received your health information, a brief description of the information disclosed, and the purpose for the disclosure.
6. Right to Confidential Communications. You have the right to receive confidential communications of your health information by alternative means or alternative locations. For example, you may request that we not contact certain family members or that we contact you only at a certain location. We will accommodate reasonable requests by you to communicate health information by alternative means or at alternative locations.
7. Right to Revoke Your Authorization. You have the right to revoke a validly executed authorization for the use or disclosure of your health information. However, such revocation will not have any effect on uses or disclosures prior to the receipt of the revocation.
8. Right to Receive Copy of this Notice. You have the right to receive a copy of this Notice.
Contact Information and How to Report a Privacy Rights Violation
If you have questions and would like additional information regarding the uses and disclosures of your health information, you may contact your individual Case Worker. Moreover, AVS has established an internal complaint process for reporting privacy rights violations. If you believe that your privacy rights have been violated, you may file a complaint with us or the Secretary of the Department of Health and Human Services at 200 Independence Avenue, S.W., Washington, D.C. 20201. To file a complaint with us, please contact the Privacy Officer at 1996 Ewings Mill Rd. Coraopolis, PA 15108.


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Here's a great deal if you want to pick up a great deal Aveeno Body Wash plus a few cheap shave gels. Check your 5/7 Smart Source inserts. There were REGIONAL $3/1 Aveeno Body Wash and REGIONAL $2.50/2 Aveeno Products *excluding bars* coupons in some areas. These coupons did not appear in all parts of the country, so only some of you will have them.
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Today kabaddi match prediction. Kabaddi World Cup 2016 Bangladesh vs Argentina will face each other in the 28th match of 'Kabaddi World Cup 2016'.Match Timimgs are Wednesday 19 October, 20:00 hrs IST.All matches of this 'Kabaddi World Cup 2016′ will be played in Ahmedabad.Live Streaming Channels forecast: Star sports,Star sports Hd2,Star sports Hd3 (Hindi),Star sports 3 (Hindi),Star gold.'Bangladesh vs Argentina' Prediction 19 October 2016 Kabaddi World Cup.
Today Predicton: 'Bangladesh vs Argentina' Prediction 19th October 2016 Kabaddi World Cup
Next Prediction: 'Thailand vs Japan' Prediction 19th October 2016 Kabaddi World Cup


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The Unity Sand Ceremony is a novel alternative for the popular "unity candle ceremony" incorporated into many of today's weddings. The essence is to symbolize the union of "two into one". This sand version is not only beautiful and interesting, but also more appropriate for an outdoor setting.
The Unity Sand Ceremony has become very popular in recent years. It's perfect for outdoor ceremonies where weather can create issues with lighted candles, and it creates a memorable keepsake from your ceremony.
For the Unity Sand Ceremony, select three decorative glass vases and place one color of sand into one vase and a second color into another vase. This is designed to represent the Bride and Groom. At the appropriate point in the service the Groom pours a portion of his sand into the third vase. The Bride then pours a portion of her sand in on top of the Groom's in the third vase. To conclude the Bride and the Groom jointly pour the remaining sand in each of their respective vases into the central vase. The co-mingling of the colored sand is an impressive demonstration of two into one. When children are involved, simply add additional colors of sand and incorporate the children in the Sand Ceremony. It is a safe and meaningful way to symbolize the new blended family.
Your vases can be engraved with initials, names or the wedding date making them a spectacular keepsake for years to come. Unity sand ceremony vases and supplies are available at WhereBridesGo.com.


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Chambers' Career Night Leads K-State Past Texas Southern
Chambers' Career Night Leads K-State Past Texas Southern
March 21, 2013
Final Stats | Quotes | Notes | Photo Gallery | K-StateHD.TV Highlights
MANHATTAN, Kan. – Brittany Chambers scored a school-record 42 points, including a program-best 29 in the first half, to lead Kansas State past Texas Southern, 72-44, in the opening round of the 2013 Women's National Invitational Tournament (WNIT) at Bramlage Coliseum. With her 690 points this season, Chambers broke the program's single-season scoring record, surpassing former Wildcat great Tammie Romstad's total of 686 points in the 1979-80 season.
Chambers' school-record 42 points on Thursday night bests the effort of K-State legend Kendra Wecker, who poured in 41 points against Illinois State on November 11, 2004 in the Junkanoo Jam in the Bahamas. Chambers registered her 42 points on 15-of-25 shooting, including a 9-of-15 effort from beyond the arc. Her 15 made field goals were the most by a Wildcats since Nicole Ohlde made 17 against Wyoming on Nov. 24, 2000. Her 42 points ties for 10th in Big 12 history, while her nine three-point makes is a new career-high and ties for fourth place in the conference. That mark also ties a WNIT record and ranks second in school history.
Sophomore guard Haley Texada chipped in 12 points to join Chambers in double figures. Texada has now scored 10 or more points in 18 games this season, which ranks second on the team. Despite scoring only two points, senior Mariah White was also a major contributor as she added five assists, eight rebounds and five steals on the night.
K-State began the game on a 13-0 run, fueled by a six points from Texada and five from Chambers. The Wildcats' defensive pressure held Texas Southern without a field goal until the 12:16 mark. K-State's defense - and Chambers' red-hot hand - was the difference maker, as Chambers single-handedly outscored the Lady Tigers, 29-19, and K-State held Texas Southern to 26.9% from the field in the first half.
The second half saw more of the same as Chambers, despite missing her first four shots, poured in 10 points within the first 10 minutes of the final half. Behind Chambers, the Wildcats were able to extend their lead to 36 points at the 6:28 mark on the way to their second postseason win in as many years.
In addition to setting career- and school-highs in scoring on Thursday night, Chambers also tallied five assists and pulled down a game-high 11 rebounds, marking her 14th double-double of her career.
With Thursday night's win, Kansas State advances to the second round of the WNIT and will face Illinois State on Monday night at 7 p.m., in Bramlage Coliseum. Fans can purchase tickets for Monday's contest online at www.kstatesports.com/tickets, by calling 1-800-CATS (2287) or in person at the K-State Athletics Ticket office, located inside the southwest entrance of Bramlage Coliseum. The game will be broadcast and available for free on K-StateHD.TV and throughout the K-State Sports Network.


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The following post is by MPFJ staff writer, Melissa Batai. Melissa is a freelance writer who covers topics ranging from personal finance to business to organics to food. She blogs at Mom's Plans where she shares her family's journey to healthier living and paying down debt.
If you've spent any time listening to Dave Ramsey, whether it be on his popular radio show or his Financial Peace University class, you've likely heard his explanation of gazelle intensity. This explanation includes an amusing bit where he imitates the gazelle seeing the cheetah, screaming CHEEEEETAAAHHH!, and running for its life.
That's how Ramsey advocates people paying down their debt–like a gazelle running for its life from a cheetah.
Are you getting tired running like a gazelle? Too bad, Ramsey's thought process goes. A tired gazelle gets eaten by a cheetah.
Getting out of debt is hard work, and if you want true freedom, you need to keep going strong until the debt is gone. He even references the Bible verse Proverbs 6:4-5, "Give no sleep to your eyes, nor slumber to your eyelids. Deliver yourself like a gazelle from the hand of the hunter, and like a bird from the hand of the fowler."
That's fine if you have a year or less of gazelle intensity to get completely out of debt, but for many people, paying down a large amount of debt should be more of an endurance race than a sprint.
Making Gazelle Intensity Work When You'll Need Years to Pay Down Debt
So, if you're facing tens of thousands, perhaps even hundreds of thousands of dollars of debt and years of hard work, how do you make gazelle intensity work for you?
- First, understand that one component of Ramsey's gazelle intensity is avoiding any new debt. That means cutting up the credit cards and paying in cash. Even if you do have years to pay down debt, this is one aspect of gazelle intensity that you should embrace. You've likely seen friends or even bloggers who say they are committed to paying down debt, but then they let their debt increase every few months. After a year or two, their debt isn't much lower than it was when they started. Make the commitment to avoid any new debt when you decide you'll be dedicated to a life without debt.
- Second, consider being gazelle intense in spurts. We started our debt repayment journey 20 months ago. At the time, we had nearly $58,000 in student loan and credit card debt. Even worse, our yearly salary was much less than our total debt.
We were gazelle intense for about 5 months before we got fatigued. Then, we didn't accrue any new debt, but we began to pay it down more slowly. This let us take care of other expenses like car repairs and school tuition.
When our large expenses were paid, we became gazelle intense for a few more months. Then we took another break.
If you have a great deal of debt to pay down, you may find that being gazelle intense for a few months and then taking a break works best. We took a break for most of this winter, but now we're on a four-month gazelle intense spurt. If everything goes well, by the end of the summer, my last student loan will be paid off.
The Gazelle Intense Period Followed by a Rest Period Can Keep You Motivated
Being gazelle intense is a bit like going on a crash diet. There is only so long you can maintain such strict discipline before you give up or worse yet, gorge yourself and gain the weight back. If you're gazelle intense for a few months and then ease up, you'll likely find it easier when you're working hard to get out of debt.
I'm certain if we would have tried to be gazelle intense for 20 months, we would have given up by now. Instead, we're energized to meet our latest goal of being free of my student loan.
How about you all? Have you tried to be gazelle intense in spurts during your journey to pay off your debt? If so, did it work for you?
Share your experiences by commenting below!
***Photo courtesy of http://www.flickr.com/photos/frted/5823429550/