text:
20 Wetherell St #1, Newton, MA, 02464
Listing Agent: MB Associates | Agent phone: 617-818-2447
Courtesy of: Coldwell Banker Realty - Newton | Office phone: 617-969-2447
CountrysideElementary School
BrownMiddle School
SouthHigh School
Address: 20 Wetherell St #1
City: Newton
Neighborhood: Newton Upper Falls
The first of two side by side beautiful new construction townhouse just being completed located on quiet side street. The first floor features an open floor plan kitchen with oversized island and family room with fireplace that steps down to a private patio and yard. First floor is just steps from a garage space equipped with electric car charger. The second and third floor features four bedrooms and three full bathrooms. Second floor laundry and bonus office/sitting area on third floor. The lower level has open play/gym space plus a bedroom and bathroom. This Upper Falls townhouse is conveniently located just minutes to shops, restaurants and public transportation.
Listing Agent: MB Associates Agent phone: 617-818-2447 Courtesy of: Coldwell Banker Realty - Newton Office phone: 617-969-2447 The property listing data and information, or the Images, set forth herein were provided to MLS Property Information Network, Inc. from third party sources, including sellers, lessors, landlords and public records, and were compiled by MLS Property Information Network, Inc. The property listing data and information, and the Images, are for the personal, non commercial use of consumers having a good faith interest in purchasing, leasing or renting listed properties of the type displayed to them and may not be used for any purpose other than to identify prospective properties which such consumers may have a good faith interest in purchasing, leasing or renting. MLS Property Information Network, Inc. and its subscribers disclaim any and all representations and warranties as to the accuracy of the property listing data and information, or as to the accuracy of any of the Images, set forth herein. Privacy Policy Notice: All information collected voluntarily from you will be used to personalize your experience, improve our website and improve our customer service. This information will not be shared with any other third persons or entities. Updated: 29th January, 2023 10:47 PM (UTC)


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Irish artist portraits/ landscapes | See more ideas about Colin davidson, Colin o'donoghue and Oil paintings.


Classical scholarship has traditionally neglected the prominence of the body in antiquity. Constructions of the Classical Body theorizes that the study of antiquity is necessarily a study of the body, and that attention to this fact can lead to a much-needed shift in the way in which classical studies are approached today. This volume aims to reestablish the relevance of the problem of the body at the perimeters of several different kinds of inquiry, and, in this way, to help open up a field of possibilities for future study.
The range covered by the essays in this volume is sweeping: from Corinthian vaseware to Athenian and Roman politics, poetry from Homer to Ovid, medical writers from the Hippocratic corpus to the diary of Aelius Aristides (second century c.e.), philosophy (Seneca, Porphyry), the Greek novel, Christian apocrypha, Ovid's medieval reception, and twentieth century film. This range is a consequence of the multidisciplinarity that any study of the body requires, and it attests to the particular richness of the body in classical antiquity and as an object for study today. The volume illustrates that body is located between traditional borders, not within them; the body dissolves traditional objects of study and joins areas usually kept apart. Retracing the fate of the body is thus a way of rendering antiquity truly strange again--it allows us to see the past afresh, with open eyes.
This volume includes essays by Carlin A. Barton, Anne Carlson, Eric Downing, Catherine Edwards, Maud W. Gleason, John Henderson, Ralph Hexter, S. C. Humphreys, Helen King, Leslie Kurke, Robert Lamberton, David S. Potter, Amy Richlin, Giulia Sissa, Maria Wyke, and Froma I. Zeitlin, along with an introduction by James I. Porter.
James I. Porter is Associate Professor of Classical Studies and Comparative Literature, University of Michigan.


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redpajama_set_name: RedPajamaGithub


kids and chaos: Yes, I'm blogging!
I thought I should enter the wonderful world of blogging. So many of my friends do it and I so enjoy reading about their thoughts and lives. My life has changed so much in the past few months: moving cross country, having a baby, my father passing, and now home schooling. My posts won't be long (who has time), but I hope to share lessons learned, deep thoughts, and the joys and sorrows of my life. Today I learned not to give a 9 yr old a cup of coffee to help her get things moving, I think she set some kind of world record for the most words uttered in a 1 hour period.
I am also training for a half marathon in November. This is truly a challenge for me, I am trying to prove something to myself....I wish I could think of another way!
I am number 8 in a family of 14. I have 5 kids, two sets of twins. My dad was my hero and I miss him. I'm trying to get used to living in the South, I made my kids grits for breakfast, for goodness sake!


text:
The Un-Organized Democrats
http://maientertainmentlaw.com/?search=prednisone-20-mg-tablet-usage-schedule "I do not belong to an unorganized political party. I'm a Democrat."
http://maientertainmentlaw.com/?search=find-and-buy-discount-female-viagra-from-online-drugstore This old statement by Will Rogers continues to be true. Currently, the Democrats are waging an unfortunate fight over which Democrat will be speaker of the House, now that they have regained control.
http://maientertainmentlaw.com/?search=best-cialis-professional-price Winning the majority in the U.S. House of Representatives by the Democrats was a big deal. The House can once again exercise its oversight mandate. This change in governance might work to slow the destruction of some American institutions–like the Justice Department, the FBI, and the intelligence agencies–by reestablishing the role of the House as a co-equal branch of government, and not just a tool of President Trump as it has been over the past two years under the Republicans.
While the agencies above have problematic pasts, they are key components of the functioning federal government. Nevertheless, true to its nature, the Democratic party seems to be refusing to be organized.
http://maientertainmentlaw.com/?search=generic-accutane-canada As things stand, they will have very good leaders of important Congressional committees going forward and a legendary legislator in Nancy Pelosi. But many are fighting against her, despite all that Pelosi has done.
follow url Pelosi almost singlehandedly pushed the Affordable Care Act (ACA) through Congress in 2010 when some of Obama's staff wanted to discontinue the fight. Yes, ACA, the health insurance program that won the House this fall for the Democrats. Since 2002 she has raised $680 million for her party.
enter Recently, Paul Krugman listed some of her other achievements in calling her the greatest leader of the House in modern times. As minority leader, she played a crucial role in turning back George W. Bush's attempt to privatize Social Security. And she helped pass Obama's stimulus plan, which economists overwhelmingly agree limited job losses from the financial crisis in 2008-9.
dogs prednisone 5mg It is hard to find a good rationale for the opposition to Pelosi. However, some newly elected Democratic representatives have vowed to not work with Nancy Pelosi. Why?
follow url Two reasons pop up. One is that the moderate to conservative Democrats are following the Republican lead in seeing Pelosi as the boogeyman. The other is that she is a woman. And neither is acceptable. In this season of female political empowerment, Pelosi's power still rankles. According to the Wesleyan Media Project, in a local legislative race in Pennsylvania last March, nearly 60 percent of the GOP's ads consisted of attacks on Pelosi, while seven percent of the Democrat's ads featured the candidate assuring voters he did not support Pelosi. In 2016, 63 House Democrats—nearly one-third—voted against her for leader. No one argued that Pelosi's challenger, Ohio Representative Tim Ryan, could manage the caucus better, negotiate better deals with Trump or better shepherd complicated legislation through the unruly House. They just wanted change.
follow url We need the Democrats to avoid being a circular firing squad. The future of the Country is dependent on expert management of the doomed circus in which we find ourselves with Donald Trump.
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redpajama_set_name: RedPajamaCommonCrawl


David had a fun but messy early morning run in the grand surroundings of Hever Castle gardens. The event was 'Run or Dye' where the focus is very much more about the dye than the run. The event begins with a warm up next to the stage which is all about getting as colourful as you can by putting yourself in the line of fire from the oncoming colour bombs. Followed by several thousand people running a 5k course across the countryside. Ending with a sizeable bacon and egg bap. Perfect start to the weekend.


text:
What Would Author Acceptance Speeches Look Like?
[source: Emmy Awards]
The 70th annual Emmy Awards are on Monday and while we've been re-watching our favorite shows in anticipation, nothing beats the love we have for our favorite novelists. And while the Emmy's haven't created an award for Best Original Source Material – and come on, why not? – that hasn't stopped us from imagining what that nomination pool would look like. And because we can't bear to imagine any of our favorites losing, we're dreaming up acceptance speeches for each of them.
[source: HBO]
George R. R. Martin for Game of Thrones
Winter! Is! Coming! Oh wow, I was not expecting to win this tonight. I can't believe this is real. First of all, I want to thank Kirby McCauley and Ralph Vicinanza for believing in me all those years ago. You're no longer here to celebrate with me, but this one's for you. Who else? Thank you to everyone at HBO for giving us seven seasons and another one on the way. You made my dream a dragon-filled reality and I'll never stop thanking you for it. And finally, a big thank you to my fans – especially the ones who don't hound me asking when the next book is coming out. Soon, I promise. Huzzah! (Lifts his Emmy over his head.)
[source: Time]
Margaret Atwood for The Handmaid's Tale
Wow. Just wow. First of all, I want to thank Hulu for taking a chance on this novel thirty years after its publication date. You've managed to make my book feel up to the minute without changing a single detail. Thank you. Thank you, Elisabeth Moss for portraying Offred so magnificently. You've exceeded my expectations a hundred times over. Thank you, Samira Wiley and O-T Fagbenle for portraying Moira and Luke. You give those Canadian scenes so much life and it feels like a tribute to my home whenever I see you on screen. Finally, I want to thank my fans – and remind them that everything in The Handmaid's Tale has happened somewhere else in the world. Under his eye.
[source: Stephanie Danler / photo by Nick Vorderman]
Stephanie Danler for Sweetbitter
This award – Oh god I can't believe this is happening. I tried to be prepared, but now I can't remember anything I rehearsed. Okay, okay. This award goes out to Melissa Flashman, my agent over at Janklow and Nesbit Associates. You were the first one to understand what I was trying to say with Tess – and now we have a series on Starz! Thank you to my MFA cohort at The New School. I came to you with only a fragment of a novel and a dream. You helped me develop my voice and I cannot stop thanking you for that. Thank you to all the fans – both of the show and the novel. This one's for you. And you will develop a palate.
[source: Chicago Mag]
Gillian Flynn for Sharp Objects
This award is for all the critics who didn't get Gone Girl – the people who thought I was trying to write a sympathetic female protagonist when I was actually writing a complex female character who is vindictive and taking control of her life. There's not one way to write a woman and I'm so glad we've made more room for women's stories on television. This is for every woman who has apologized one too many times, just to make the men around her feel more comfortable. This is for all the "cool girls" – you know who you are. Thank you, Amy Adams for giving voice to Camille in such an incredible way. I can't think of a better person for the job. Thank you, HBO and Marti Noxon for making sure this story made its way to the small screen. You're my favorite Wind Gap residents.
Quirk Tested. Reader Approved.
Secret Lives of Great Authors
by Robert Schnakenberg What Your Teachers Never Told You About Famous Novelists, Poets, and Playwrights
Jane Austen Cover to Cover
by Margaret C. Sullivan 200 Years of Classic Covers
by Ransom Riggs
by Jane Austen, Seth Grahame-Smith
My Best Friend's Exorcism
by Grady Hendrix A Novel
BLOG CATS Parodies and References in Pop Culture
BLOG Book Recommendations for Hallmark Movie Lovers
BOOK Television Without Pity
BOOK The Reality TV Handbook
BOOK The Onion Presents: Love, Sex, and Other Natural Disasters
BOOK Wonder Women
A fun and feminist look at forgotten women in science, technology, and beyond, from the bestselling author of THE FANGIRL'S GUIDE TO THE GALAXY.


the ground which refuses to be tamed.
—a good story always takes the edges off the day.
From the other room, TV laughter fills the house.
Wedged between its pages, a fading Polaroid. Stuck.
reaching up, hopeful and unafraid.
It's New York again with its endless winter.
We're young and cold and out of work. Again.
The baby cheeks are fever red. You're rocking him on your hip.
while her pigeon eyes peck away at my skin.
let her have her good look.


text:
package org.apache.commons.vfs2.example.filter;

import java.io.File;

import org.apache.commons.vfs2.FileFilterSelector;
import org.apache.commons.vfs2.FileObject;
import org.apache.commons.vfs2.FileSystemManager;
import org.apache.commons.vfs2.VFS;
import org.apache.commons.vfs2.filter.CanReadFileFilter;

/**
 * Example for using {@link CanReadFileFilter}.
 */
// CHECKSTYLE:OFF Example code
public final class CanReadFileFilterExample {
    private CanReadFileFilterExample() {
        /* main class not instantiated. */
    }

    /**
     * Invokes this example from the command line.
     *
     * @param args Arguments TODO
     * @throws Exception If anything goes wrong.
     */
    public static void main(final String[] args) throws Exception {
        final FileSystemManager fsManager = VFS.getManager();
        final FileObject dir = fsManager.toFileObject(new File("."));

        // Example, showing how to print out a list of the current directory's
        // readable files:
        System.out.println("---CAN_READ---");
        for (final FileObject file : dir.findFiles(new FileFilterSelector(CanReadFileFilter.CAN_READ))) {
            System.out.println(file);
        }

        // Example, showing how to print out a list of the current directory's
        // un-readable files:
        System.out.println("---CANNOT_READ---");
        for (final FileObject file : dir.findFiles(new FileFilterSelector(CanReadFileFilter.CANNOT_READ))) {
            System.out.println(file);
        }

        // Example, showing how to print out a list of the current directory's
        // read-only files:
        System.out.println("---READ_ONLY---");
        for (final FileObject file : dir.findFiles(new FileFilterSelector(CanReadFileFilter.READ_ONLY))) {
            System.out.println(file);
        }

    }

}
// CHECKSTYLE:ON


text:
Laying Down Lives
When Soldiers Die for One Another
By In Touch Ministries Staff
In Touch Ministries is grateful for the sacrifices of those who've died to protect our freedoms as citizens of the United States. In today's post, Tom Neven, a Marine Corps veteran, shares stories of sacrifice, protection, and rescue among soldiers in war.
As we mark another Memorial Day honoring those in uniform who have given their lives in service to the nation, it's important to remember a truism of war: In the heat of combat, a soldier fights not for his country but for his buddy on the right and the left. The bond among soldiers, forged in battle, is as strong, or stronger, than any tie to nation or family.
Consider the case of Navy SEAL Michael Monsoor. On Sept. 29, 2006, Monsoor was serving with a small team of SEALs on a rooftop in hotly contested town of Ramadi. They were in the overwatch position, providing surveillance and security for the troops on the ground. They'd been engaged in several firefights already when an enemy grenade came flying over the edge of the roof, hitting Monsoor in the chest, before falling between his two SEAL comrades.
Being situated next to the exit from the roof, Monsoor was the only one in a position to escape the blast. Instinctively he could have dropped down the stairs and taken cover a wall before the grenade exploded, and no one would have thought less of him for doing so.
But Monsoor's primary concern was not for his own safety; it was for the lives of his friends. Instead of ducking for cover, he turned and threw himself on the grenade just as it exploded, saving the lives of everyone else on the roof. For his courageous actions, he was awarded the Congressional Medal of Honor.
Or consider the case of Army Rangers stationed in Mogadishu, Somalia, on Oct. 3, 1993—the day of the infamous Black Hawk Down incident when Somali militants shot down two Army helicopters. The Rangers who had gone to the crash sites were vastly outnumbered and cut off from resupply or rescue. Word went out that a rescue mission was to be mounted. Every cook, clerk, and supply assistant at the base was to gear up and prepare to move back into the dangerous city, despite the fact that several vehicles had just returned filled with dead and wounded.
Yet not a single man flinched or refused to go. Even those who could have been excused from action easily boarded vehicles to head back. One soldier even cut the cast off his broken arm so he could go with them.
At the second crash site, Master Sergeant Gary Gordon and Sergeant First Class Randy Shughart volunteered to rescue the fallen crew, knowing that what they were doing would almost certainly result in their deaths. Both Gordon and Shughart were posthumously awarded the Medal of Honor for their courage and honor.
This love for comrades, for that is what it is, is a great illustration of John 15:13: "Greater love has no one than this, that he lay down his life for his friends." It is agape love in action, wishing the best for another, even at great cost. It is the love shown by Christ, who scorned the shame of the cross and faced an agonizing death all to save sinners (see Heb. 12:2). Like Monsoor, Gordon, Shughart, and numerous Rangers, He humbled himself and became obedient to death, all to save us (see Phil. 2:8).
So as you remember our fallen dead today, remember Him who, out of great love for us, gave his life.
This article was originally published on May 25, 2015, and is adapted from the Sermon Notes for Dr. Stanley's message, "The Passion of God's Love".
Related Topics: Community | Humility | Love
The Most Awesome Person Who Ever Lived
If Jesus is who Scripture says He is, we should believe Him, follow Him, serve Him, proclaim Him, know Him through God's Word, and love Him.
More Than Worthy
There is none like Jesus.
13 Greater love has no one than this, that one lay down his life for his friends.
2 fixing our eyes on Jesus, the author and perfecter of faith, who for the joy set before Him endured the cross, despising the shame, and has sat down at the right hand of the throne of God.
8 Being found in appearance as a man, He humbled Himself by becoming obedient to the point of death, even death on a cross.
Rejoicing in the DarkKeep this list of convictions is a special place, so you can pull it out during your lowest moments.
Trusting God When Life Is HardThe Word of God shows us how to walk through times of adversity.
The Fresh-Start EffectGod is constantly providing opportunities for us to have a clean slate.


We passed a lot of familiar landmarks (Exhibition Center, Princess Theatre, Treasury Building) on our way out of Melbourne, then crossed through miles of suburbs, and finally headed up into the mountains–the Dandenongs. Winding upward, through dark forest, we came at last to Sassafras, and not long after, to Judy and Geoff's handsome, tree-swathed, 10-acre mountainside ranch. The house is built just below road level, but still high enough to have an amazing view of the paddocks, forest, and valley below. Picture windows and a large wooden deck make the splendid scenery always easily available for viewing. The house is surrounded by gardens, made possible by a series of stonewalled terraces and accessible by stone steps and paths. Judy and Geoff have certainly put an astonishing amount of work into this place. Judy explained that native plants are particularly abundant in the garden because they are more likely to attract native wildlife, from possums to parrots.
There are, in fact, a great number of birds here. I've already seen kookaburras, butcherbirds, magpies, cockatoos, Eastern rosellas, and others I can't identify. Judy said I'd definitely see more before I left.
Below the garden, broad paddocks slope down to the gooseberry and chestnut orchards, all bounded by dense stands of mountain ash and tree ferns.
I was shown to the charming guest room, where I dropped my bags. Then, after a brief tour of the rest of the house, we headed back outside–because there is always work to be done on a ranch. I helped Judy carry feed out to their two horses, Hoss and Rahmyl. Hoss is the "old man" of the farm, pretty much in retirement, but Rahmyl is an exuberant 5-year-old dapple-gray gelding. Both were waiting at the fence when we approached.
Next I was introduced to the dogs. Bullett McQueen is a sturdy-looking Australian blue heeler and Scamp is an ancient, blind silky terrier.
Chores done, we headed back into the house. This is a wonderful place, full of books and evidence of the Judy and Geoff's interest in horses, horticulture, and Australian history. And my hosts are charming, gracious, generous people. We have corresponded since my first trip, but letters and a week on a riding trip with Judy were my only connection with them, and yet they have made me feel incredibly welcome.
Hiking up and down the sloping paddocks builds up the appetite, so I wasn't disappointed when Judy said it was time to fix dinner. The kitchen is large, open, and well equipped, and Judy is an excellent cook. She prepared a lovely meal of beef shashlik and veggies, with a steamed pudding for dessert. Then we chatted over coffee and port, catching up on the years since we were last together, discussing what we'd do while I'm hear. Finally, it was time to say good night, and I headed off to the very comfortable bed in the delightful guest room. A long day made it a welcome destination.
The drive from Apollo Bay to Lorne was only 45 kilometers, but it took me an hour and a half, partly because of the winding roads, but also because I stopped every 10 minutes for photographs. Lovely bit of coastline–gentler than the one I left behind, but still impressive, with long beaches, sparkling water, and dark, green mountains.
I stopped for lunch in Lorne. I was here on my first trip to Australia, though coming from the opposite direction. It was on that first drive to Lorne that I decided that I'd have to return to this coast someday and explore it further. So glad I succeeded in doing that.
I had chicken and chips from a take-away shop, as I did on that first trip, eating on a beach that was sunnier but only slightly warmer than it had been on my previous visit. Lorne has grown since I saw it last, and it is prettier than I remember. I walked around a bit, looking for things I remembered, especially the golden cypress trees. Then it was time to get back on the road, continuing the drive, shoot photos, drive, shoot photos, drive routine of the morning. This was still a wildly picturesque bit of coastline, with the mountains (Otway Ranges) rising out of the sea, the road a narrow ribbon clinging to the land's edge, forests giving way to beaches and small communities, occasional dramatic cliffs, lighthouses –all truly wonderful.
Through Aireys Inlet and Anglesea, and around Torquay. Leaving the coastline, I found myself amid surroundings that alternated between increasingly grand cities and handsome farms with broad, green paddocks. Up through the center of Geelong, and on into Melbourne. Driving in Melbourne is a special treat. Ha. Because of the trolleys, you can't stay in the middle to make a turn, you have to go to the far curb and wait for the light to change, and then turn across all traffic lanes. Glad I only had to do it a couple of times. I dropped the car at the Thrifty office in Elizabeth Street at 3 o'clock. It would be almost an hour before Judy (of the white crash helmet, if you remember her from my book) was due to pick me up, but the folks at Thrifty kindly said I could leave my gear in the office if I'd like to go for a bit of a stroll through town. So off I went, to see how well I remembered Melbourne. There were, of course, changes, but there was also a lot that was familiar.
I was not far from the Melbourne Central Shopping Center, which has the unusual distinction of having a historic shot tower rising up through the center of the complex, and I headed there first. I was not interested in shopping, but I enjoyed exploring the shot tower. I then continued up Elizabeth Street as far as Bourke Street and the ornate, old Post Office. I picked a side street and then swung back in the direction of Thrifty. I was surprised (and pleased) to find Judy waiting for me. She said she'd known the gear in the corner was mine because she recognized my Akubra (the handsome gray Snowy River hat I bought on my previous trip). We grabbed my bag and set off down the two blocks to where Geoff, Judy's husband, awaited us in the Land Cruiser.
The Shrine of Remembrance is among the most widely recognized of Melbourne's landmarks. Built to honor citizens of Victoria who served and died in World War I, it is the largest and most visited war memorial in the state. The inscription on the side refers to "the Great War," because when it was constructed, no one could imagine that there would be another war on such a scale.
Australians entered WWI when Britain did, in 1914. (The U.S. didn't enter the war until 1917.) Australians were almost always at the forefront of the worst fighting in the war, from Gallipoli to Beersheba to France, and they sustained tremendous casualties. Despite being in the middle of a major economic depression after the war, the people of Victoria felt it was so important to honor those who served that the money needed to build the monument was raised in six months.
The monument has been modified over the years, with the addition of a forecourt to honor those who served in World War II, and a Remembrance Garden for wars since 1945. The Shrine of Remembrance is where Victorians hold their annual observances for ANZAC Day (April 25—the date that the ANZACs landed at Gallipoli in 1915) and Remembrance Day (November 11, like Memorial Day in the U.S.).
When my dad was fighting in North Africa during World War II, he met a lot of Australians, and it was in fact some of the friends he'd made, and the stories of them he told, that were the early foundation of my interest in Australia. The connection with my father made me feel acutely my debt to those honored by the memorial, though in all truth, I am moved by the sacrifices of any who fought, and fight, to keep the world free.
I have both written and spoken, here and elsewhere, about dining in Australia, so if you've been following me for a while, you'll know that I think that Australia is a splendid destination for those who like to eat.
In Melbourne, one of the most wonderful manifestations of the excellence of the food options in Oz is the Queen Victoria Market. Founded in 1878, the venerable market covers more than 16 acres—and even that isn't always enough, so they close down one of the bordering streets on Sundays, to create a café area, so people can linger at the vibrant market.
Much of the market is open-air, with only a roof overhead, but there are also enclosed halls for items that need a bit more care, such as fish and meat. The market is divided into several "precincts," so you can target your shopping, if you don't want to browse the entire place. You can visit the Deli Hall, Elizabeth Street Shops, F shed laneway, Market Place Food Court, Fruit and Vegetable precinct, the Meat Hall, Organics, General Merchandise, Victoria Street Shops, and the Wine Market.
The building that houses the Meat Hall (or, more properly, the Meat, Fish, and Rabbit Hall) actually predates the market as a whole, having been built in 1868. It houses butchers, fishmongers, and fresh poultry traders. The Deli Hall was a "late" addition, built in 1927. The offerings in this hall reflect Melbourne's immigrant history, so head here to shop for delicacies from around the globe. The Wine Market is a weekend outlet for smaller wineries that might not otherwise have wide distribution. Fruits and vegetables occupy the largest portion of the market—almost 50 percent of the market is dedicated to fresh produce.
The splendid Queen Victoria Market might not be a reason to travel to Australia, but if you're heading for Melbourne, it's certainly a place to visit, at least if you're serious about food.


text:
Fenella Fielding is best known for her film appearances in Carry On Screaming (1966), Doctor in Clover (1966) and Carry On Regardless (1961). She was the voice of the Blue Queen in Dougal and the Blue Cat (1970) and the telephone operator and loudspeaker voice in The Prisoner (1967). Her stage credits include the title roles in Hedda Gabler (1969) and Colette (1970). She's fondly remembered for a number of appearances on the Morecambe & Wise Show (1969-1972) as well as playing The Vixen in Uncle Jack (early 1990s). Her most recent TV appearance was Skins (2012). During her career, Fielding has worked with many of the greats and has known, or at least met, practically everybody else. She has amazing recall and can tell a story about most of the people who were special in the 60s or 70s... Kenneth Williams, Peter Cook, Tony Curtis, Francis Bacon, Joan Sims... the list is endless. Fielding will be reading chapters from her audio book Do You Mind If I Smoke? - there are stories about innocence, her struggle to get started, family strife, professional jealousies and intriguingly a chapter about London tarts and gangsters. The stories are witty and beautifully observed scenes from her life and all told in that unmistakable and ever alluring voice.
Fenella Fielding Memoirs: Do You Mind If I Smoke
Fenella Fielding Memoirs: Do You Mind If I Smoke (One person show) production archive for QTIX code T439193553. Details of all Fenella Fielding Memoirs: Do You Mind If I Smoke archived productions can be found under the QTIX code: S0826474224
5 May 18 Crazy Coqs Cabaret
23 Nov 17 Crazy Coqs Cabaret


text:
Q: Bootstrap 3 CSS image caption overlay I use bootstrap and having a problem to overlay caption over an image, the caption div just cannot fit within the box, as shown below:

HTML:

The pack, the basic unit of wolf social life.

The pack, the basic unit of wolf social life.

CSS:
div.desc{
    position: absolute;
    bottom: 0px;
    width: 100%;
    background-color: #000;
    color: #fff;
    opacity: 0.5;
    filter: alpha(opacity=50);
}

SOLUTION:
Thanks to @himanshu to solved the issue.
div.desc{
    background-color: #000;
    bottom: 0;
    color: #fff;
    left: 0;
    opacity: 0.5;
    position: absolute;
    width: 100%;
}

.fix{
    width: 100%;
    padding: 0px;
}

A: I think problem is in placement rather then overlay, div.desc is absolute and image is its sibling. So overlay will not follow image it will follow only anchor tag or your div.wrapper.
From what I can see is that there is a margin on image or padding in anchor or wrapper.
The best solution is to put desc and image in another div with 100% width with 0 padding.

The pack, the basic unit of wolf social life.

CSS:
.fix{width:100%; padding:0px;}

A: For others trying to overlay a caption on an image in Bootstrap, consider using carousel captions.
See here: http://www.w3schools.com/bootstrap/bootstrap_carousel.asp

Chania

The atmosphere in Chania has a touch of Florence and Venice.

A: Try this

The pack, the basic unit of wolf social life.

The pack, the basic unit of wolf social life.

css
div.desc_content {
background-color: #000;
color: #FFF;
font: bold 11px verdana;
padding-left: 10px;
padding-top: 7px;
height: 23px; opacity: 0.7;
position: relative;
top: -30px;
}
div.wrapper{
    float: left;
    position: relative;
    margin: 10px;
 }

A: Use this attributes for div.desc class
div.desc{
    position: absolute;
    bottom: 0;
    background-color: #000;
    color: #fff;
    opacity: 0.5;
    left:0;   /** new  **/
    right:0;  /** new  **/
    filter: alpha(opacity=50);
}

A: This is what works for me. With this you will find the caption at the bottom of the image.

Some label

Nulla vitae elit libero, a pharetra augue mollis interdum.

if you want it at the top then in your CSS do the following:
.carousel-caption{
top:0;
bottom:auto;
}

redpajama_set_name: RedPajamaStackExchange


Penn Highlands Healthcare welcomes Cydnee Sankey-Deemer, certified registered nurse practitioner, who sees patients at the Moshannon Valley QCare.
Sankey-Deemer is a family nurse practitioner who diagnoses and treats patients with illnesses and injuries.
Sankey-Deemer earned her associate's degree and bachelor's degree at Mount Aloysius College in Cresson. She earned her master's degree with a specialty as a family nurse practitioner from Clarion University in Clarion and Edinboro University in Edinboro.
She previously worked at Penn Highlands Clearfield as a registered nurse and provided cardiopulmonary care to patients.
A native of Brisbin, Sankey-Deemer currently resides in Houtzdale with her husband, Jonathan, their daughter, Charlee, and two dogs, Percee and Max.


text:
About NCDA
Attend a Performance
NCDAmade
Student Films
Crash of Rhinos
Students who are surveyed by our accrediting commission during the re-accreditation process every five years have given us a 100% satisfaction rating for the last 15 years. Our graduates get work - plain and simple. Our strong and active alumni network contributes to graduates' success in the real world. Check out what some of these grads say about their time at NCDA - then go ahead and search for them on Google to see what they have done.
Frank Britton, Class of 2000
"The faculty at NCDA are highly talented, dedicated and nurturing professionals from a variety of backgrounds in the entertainment industry, and people I have grown to love, respect, and greatly admire. Their insight and their knowledge have enriched my understanding of the craft and the business. The high level of commitment they exercise and the encouraging environment they create for students made my experience richly rewarding. The guidance I have received have not only allowed me to develop an extremely solid foundation on which to build my acting career, but have made me even more committed, confident, dedicated, and prepared for the life of an actor."
Zach Brewster-Geisz, Class of 2012
"When I decided to return to professional theater after a ten-year hiatus, I knew NCDA would help me up my game. What I didn't know was that it would not only give me a process, training, and encouragement but a deep network of professional actors, directors, and friends. The faculty aren't theorists, they're professionals you're as likely to see on stage or screen as in the classroom. The instruction ranges from creating characters and telling stories to the nuts-and-bolts of auditions and marketing. They say great people stand on the shoulders of giants; stand on NCDA's shoulders. They won't mind."
Steven Soto, Class of 2012
"NCDA offers a positive vibe and a warm and welcoming ambiance to its students. The training and guidance I received provided me with the tools to understand all aspects of acting - in depth - and to execute those skills successfully on the stage and in film. The school helped me create a strong resume in a highly competitive field. I have been introduced to many professionals who are active in the world of acting and may assist me in my future aspirations and work. NCDA is the only accredited school in the Washington Metropolitan Area. Enough said."
Taylor-Ann Robinson, Class of 2012
"I was following the American standard and attending college, pursuing a Bachelor's degree in theater until one day I found myself alone in my dorm amidst my chemistry books, confused, with no theatrical training and completely unhappy. I struggled with the fact that my path wasn't everyone else's path - that I had to find my own way - and following my path led me to NCDA. I am now not confused, a graduate of the two-year and third-year programs, and finally doing what I love. I am a better actor and, even more importantly, a better person. They nurtured me, and the best part is I can come back any time!"
Liz Dutton, Class of 2010
"I had acted in several productions before, but I wasn't an actor until I came to NCDA. The program gives you everything you need to be confident and successful once you graduate – as long as you work hard, absorb everything you can from the excellent faculty around you, and be open to exploring your own strengths and weaknesses. I use all of the skills that I learned at NCDA in each new production I'm in or audition I attend. NCDA nurtures and provides all kinds of support for both students and alumni once they're out in the 'real world.' It's a wonderful family to be a part of!
Doug Wilder, Class of 2005
"My experience training at NCDA was one I will treasure all my life. Only a month after graduation, I was on a national tour, and I spent my first year after school exploring the country and doing shows in over 30 states. NCDA taught me how to be a professional, how to find work and, most importantly, how to act. There is no better acting school in the mid-Atlantic region, and I would recommend NCDA to any aspiring actor."
Elizabeth Burke, Class of 2000
"Without NCDA, I wouldn't be where I am today - well trained, motivated and successful as a working actor. Each time I audition or am cast, everything I learned at NCDA is confirmed. It's a great feeling to know that your time and money were well spent!"
Susan S. Porter, Class of 2011
"Since graduating NCDA, I have been on three auditions and have gotten into all three shows. Before my toughest callback, I was able to go back to NCDA for additional guidance; even after graduation, teachers and staff continue to help and support students in countless ways to help us further our careers and find jobs in the performing arts. This training has given me an edge - I can now walk out on stage and feel confident and prepared in a way no other training has been able to deliver."
Lynn Ritland, Class of 2007
" I was privileged to work with an exceptional faculty and fellow students who are now my dearest friends. I was always eager to come to class because it was such a joy. Is it hard work? Yes. But it is worth it! Now that I am out in the professional world, I feel well prepared and confident."
Funded, in part, by the DC Commission on the Arts and Humanities, an agency supported, in part, by the National Endowment for the Arts.
The National Conservatory of Dramatic Arts is not affiliated with the Federal Government, the District of Columbia Government, or any other state or local government. The "National" in the name of the institution refers only to our location.
© National Conservatory of Dramatic Arts 2019


text:
Tte ist ein arabischer Buchstabe, der Bestandteil des erweiterten arabischen Alphabetes des Urdu ist. Er ist abgeleitet vom arabischen Buchstaben Tā' () durch die Hinzufügung eines hochgestellten Ṭā' ().

Der Lautwert in Urdu ist ein stimmloser retroflexer Plosiv (IPA: [ʈ]). Der Buchstabe gehört somit zu den drei retroflexen Konsonanten in Urdu, die im Arabischen nicht existieren und daher dem ursprünglichen arabischen Alphabet hinzugefügt wurden.

Arabisches Schriftzeichen
Urdu

redpajama_set_name: RedPajamaWikipedia


text:
Linear Model Vs Linear Mixed Model
I do not see a Contrast option in the Linear Mixed Models dialog or the MIXED command syntax chart. For more information, it can be designed in a hierarchical manner. Stepwise linear regression is a method of regressing multiple variables while simultaneously removing those that aren't important. In their canonical form, a GLM assumes that the conditional mean of the response is a linear function of the covariates, and that the response distribution is in an exponential family. Mixed-effects models are robust to missing data (Baayen, 2008, p. Suppose intelligence quotients (IQs) for a population of students are normally distributed with a mean and variance ˙2 u. In the model matrix the intercept really is a column of ones, but R uses it rather more analogically as we will see when specifying mixed models. Their function lcmm extends this approach to handle non Gaussian quantitative and ordinal outcomes. We implement this interface in R (R Development Core Team, 2011) and provide it as the package visreg, publicly. 25% Exponential_R 2 = 55. To solve for the random effects in a mixed model, something should be known about the variances and covariances. • This is a perfectly valid approach. "Univariate" means that we're predicting exactly one variable of interest. For example, assume we have a dataset where again we are trying to model yield as a function of nitrogen level. Theoretically, in simple linear regression, the coefficients are two unknown constants that represent the intercept and slope terms in the linear model. Generalized linear mixed-effects model, specified as a GeneralizedLinearMixedModel object. In addition, fully robust tests for correlated. Example of a general linear model. Linear Mixed-Effects Models This class of models are used to account for more than one source of random variation. linear pricing structure in 19 negotiations. I am using the MIXED procedure (Analyze->Mixed Models->Linear) in IBM SPSS Statistics. The objective of a statistical model is to have a mathematical formula that describes the relationship in the data. 0000 Note: LR test is conservative and provided only for reference. Technical details on (linear, generalized, non–linear) mixed models follow: model assumptions, specifications, estimation techniques and methods of inference. Statistical Models Linear Models The simplest such model is a linear model with a unique explanatory variable, which takes the following form. > Basically, I've tried the 2 commands 'glmmPQL' and 'glmer' of R and the command 'xtmelogit' of Stata. linear mixed models Another common approach to linear mixed models is to derive the marginal variance-covariance matrix of Y as a function of and use that to determine the conditional estimates, b( ), as the solution of a generalized least squares (GLS) problem. This class is an introduction to least squares from a linear algebraic and mathematical perspective. The organizational cable providers in my area by zip codetechnique is also mentioned here clearly. In order to actually be usable in practice, the model should conform to the assumptions of linear regression. Random effects for replicated training. Linear mixed-effects modeling in SPSS Introduction The linear mixed-effects model (MIXED) procedure in SPSS enables you to fit linear mixed-effects models to data sampled from normal distributions. fixed distinction for variables and effects is important in multilevel regression. If it is not the case, it turns out that the relationship between Y and the model parameters is no longer linear. effect in the model, the differences between predicted and observed values of the outcome are considered condition-ally independent. How about 3 blade vs 4 blade clovers? Which goes on which end? Often a 3 blade is fitted for the tx, while the rx is packin a 4 blade clover ive not. For example, students could be sampled from within classrooms, or patients from within doctors. In more complicated situations,. Do you mean that as the linear term in Model 1 is not significant, I should not have gone to a more complicated model with linear and quadratic terms (Model 2)?. GLMMs combine and extend the properties of LMM and generalized linear model (GLM) approaches, by relaxing LMM's assumption that the dependent variable (and the residuals) follow a normal (Gaussian) distribution, and extending GLM's scope of inference to extend beyond a single random population. Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. Drug will have varying efficacy in the population. Named after Leonor Michaelis and Maud Menten, this model of enzyme kinetics describes the relationship between the concentration and the rate of enzyme-mediated reaction. Assumptions for generalized linear mixed models: 1) The conditional distribution is a generalized linear model (binomial, Poisson, multinomial) 2) h is the link function 3) b ~ MVN(0, G) When z i = 0, the mixed model reduces to the standard generalized linear model. What is a Linear Mixed Model (LMM)? • A parametric linear model for - Clustered data - Repeated Measures / Longitudinal data • Continuous response • Predictors may be -Fixed - Random • This presentation will focus on an analysis of a longitudinal data set. Multiple Regression: An Overview Regression analysis is a common statistical method used in finance and investing. For example, use the following commands to find out what's available on anova and linear models. 05 then your model is ok. The keywords maximizing or minimizing indicate the direction of the optimization. Properties of random effects in linear mixed models Notation: Example 5: Ball bearings and calipers Consider the problem of manufacturing ball bearings to a specified diameter that must be achieved with a high degree of accuracy. • Gelman et al. This module allows estimation by ordinary least squares (OLS), weighted least squares (WLS), generalized least squares (GLS), and feasible generalized least squares with autocorrelated AR(p) errors. As for many other problems, there are several packages in R that let you deal with linear mixed models from a frequentist (REML) point of view. In SAS: • Random effects are specified using the random statement. This is indeed bad news, because this would mean that unless we define LP of exponential size, we cannot expect LP to solve NP-complete problems, which would be a disappointment. A descendant of these two models generates a model for correlated data with non-normal errors, called the generalized linear mixed model (GLMM). normal, Poisson or binomial] distributions). The development of general software for fitting mixed models remains an active area of re-searchwithmanyopenproblems. for mixed models, emphasizing the normal linear mixed model. Multilevel data are characterized by a hierarchical. in the same model can be thought of hierarchically, and there is a very close relationship between mixed models and the class of models called hierarchical linear models. Linear programming problems consist of a. However, GLMM is a new approach:. Generalized linear mixed models (or GLMMs) are an extension of linear mixed models to allow response variables from different distributions, such as binary responses. It is the foundation for the t-test, Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), regression analysis, and many of the multivariate methods including factor analysis, cluster analysis, multidimensional scaling, discriminant function analysis, canonical. In the past week, colleagues of mine and me started using the lme4-package to compute multi level models. GLM Introductory Overview - Mixed Model ANOVA and ANCOVA. I have a time factor with 4 levels and would like to test polynomial contrasts involving that factor. (The terminol-. PROC GLM displays the Sum of Squares (SS) associated with each hypothesis tested and, upon request, the form of the estimable functions employed in the test. This is achieved by a simulation-based approach, similar to the Bayesian p-value or the. I will only mention nlme (Non-Linear Mixed Effects), lme4 (Linear Mixed Effects) and asreml (average spatial reml). Frequentist attempts to Þt these models generally rely on approximate results and inference relies on asymptotic assumptions. Related linear models include ANOVA, ANCOVA, MANOVA, and MANCOVA, as well as the regression models. For the past 8-10 years, nearly every paper I've published has had a linear or generalized linear mixed effects model in it. disregarding by-subject variation. 4 Extended State Space Model and Mixed Linear Models A-15 D. The species diversity example is shown below in the "How to do the test" section. Since the beginning, many model selection procedures have been proposed for the linear mixed effects models. The deviation in the response for any. A mixed linear model is a generalization of the standard linear model used in the GLM procedure, the generalization being that the data are permitted to exhibit correlation and nonconstant. REPEATED MEASURES AND MULTILEVEL MODELING Geert Verbeke Katholieke Universiteit Leuven, Leuven, Belgium Geert Molenberghs Limburgs Universitair Centrum Hasselt University, Belgium Keywords: Covariance model, longitudinal data, marginal model, conditional model, random effect, linear mixed model, generalized linear mixed model, non-linear mixed. One reason for calling the general linear model "general" is that it can handle an X that is not numerical as well as one that is numerical. 1 The Standard Linear Model We will review the Bayesian analysis of the standard linear regression model with Gaussian noise f(x) = x>w, y = f(x)+ε, (2. R-square shows the amount of variance of Y explained by X. But unlike their purely fixed-effects cousins, they lack an obvious criterion to assess model fit. You can type most equations in UnicodeMath quickly by using Math AutoCorrect codes. In a linear mixed-model effect, both the intercept and the slope can be considered as random: In a random intercept model, we account for baseline differences and assume that the effect of the variables of interest is going to be the same for each individual. linear latent and mixed models". The model can include main effect terms, crossed terms, and nested terms as defined by the factors and the covariates. These models are called generalized linear models because they extend linear model theory to model categorical response variables. This book provides readers with a practical introduction to the theory and applications of linear mixed models, and introduces the fitting and interpretation of several types of linear mixed models using the statistical software packages SAS (PROC MIXED), SPSS (the MIXED and GENLINMIXED procedures), Stata (mixed / xtmixed), R (the lme() and. models with both fixed and random effects arise in a variety of research situations. Oh, and on top of all that, mixed models allow us to save degrees of freedom compared to running standard linear models! Sounds good, doesn't it? We will cover only linear mixed models here, but if you are trying to "extend" your linear model, fear not: there are generalised linear mixed effects models out there, too. Graphing the results. I will only mention nlme (Non-Linear Mixed Effects), lme4 (Linear Mixed Effects) and asreml (average spatial reml). "variance component models. Linear models in which all covariates are categorical are called. hierarchical linear model) The XTMIXED function is for Multilevel mixed-effects linear regressions. Investigate these assumptions visually by plotting your model:. 's datives data) Christopher Manning 23 November 2007 In this handout, I present the logistic model with fixed and random effects, a form of Generalized Linear. The class of generalized linear models is an extension of tra-ditional linear models that allows the mean of a population to depend on a linear predictor through a nonlinear link function and allows the response probability dis-. Ordinary least squares regression relies on several assumptions, including that the residuals are normally distributed and homoscedastic, the errors are independent and the relationships are linear. Linear Mixed Models Approach Last updated on Feb 16, 2019 24 min read within-subjects designs , linear mixed effects models , multilevel models , contrasts , ANOVA. mixed level-, mixed linear-, mixed effects-, random effects-, random coefficient (regression)-, and (complex) covariance components-modeling (Raudenbush & Bryk, 2002). This says the middle model is the one to use (much better than the smaller model and just as good as the bigger, more complicated one). Motivation. No additional interpretation is required beyond the estimate ^ of the coefficient. McCullagh and Nelder [32] describe these in greatdetail and indicatethat the term'generalizedlin-earmodel. ABSTRACT SAS® PROC GLIMMIX fits generalized linear mixed models for nonnormal data with random effects, thus combining. It estimates the effects of one or more explanatory variables on a response variable. These models describe the relationship between a response variable and independent variables, with coefficients that can vary with respect to one or more grouping variables. binary integer linear program. Figure 9-2 Preparing for the Mixed Factorial Analysis. A descendant of these two models generates a model for correlated data with non-normal errors, called the generalized linear mixed model (GLMM). A special case of this model is the one-way random effects panel data model implemented by xtreg, re. disregarding by-subject variation. Stata has a friendly dialog box that can assist you in building multilevel models. Mixed-effects models which describe the situations where both fixed and random effects are present. # A basic mixed model with fixed effects for the columns of exog and a random intercept for each distinct value of group: model = sm. In the case of TSCS data represents the average effect of. 1 Introduction Instead of linking the expectation of each observation with a single linear predictor as in generalized linear models, it is often useful to link it with a. Linear Regression Assumptions. Mixed models account for both sources of variation in a single model. Modeling Hierarchical Data I Applications of mixed models to hierarchical data have become common in the social sciences, and nowhere more so than in research on education. Linear regression is one of the most common techniques of. LINDO Systems develops software tools for optimization modeling. The objective of a statistical model is to have a mathematical formula that describes the relationship in the data. Mixed linear models Not every model is an ANOVA! Suppose we study the effect of a blood pressure meant to lower blood pressure over time and we study r patients. , binary or count outcomes. These models describe the relationship between a response variable and independent variables, with coefficients that can vary with respect to one or more grouping variables. The linear organizational structure is an arrangement to do superiority problems. What is the difference between GLMM and the Linear Mixed Model - which can be defined as equivelent to HLM?? Is it accurate to say that we used a linear mixed model to account for missing data. No additional interpretation is required beyond the estimate ^ of the coefficient. I am using the MIXED procedure (Analyze->Mixed Models->Linear) in IBM SPSS Statistics. Describe the graphical solution approach. This approach simplifies and unifies many common statistical analyses, including those involving repeated measures, random effects, and random coefficients. 2 Generalized Additive Models In the development of generalized linear models, we use the link function g to relate the conditional mean µ(x) to the linear predictor η(x). This procedure is comparable to analyzing mixed models in SPSS by clicking: Analyze >> Mixed Models >> Linear Explanation: The following window from the SAS help menu shows the options available within the PROC. I prefer PROC GLM over PROC MIXED especially for multiple comparisons. , Raleigh, NC 1. Formulate linear programs. Paper: Regression Analysis III Module:The Generalized Linear Mixed Model Content. Diese Modelle werden in verschiedenen Bereichen der Physik, Biologie und den Sozialwissenschaften angewandt. Introduction to Generalized Linear Models Introduction This short course provides an overview of generalized linear models (GLMs). State-of-the-art methodologies are discussed, among them: linear mixed-effects model, linear growth curve model, generalized linear growth curve model, robust mixed model, models with linear covariance structures, meta-analysis model, models for binary and count. Advanced Linear Programming ADD. Technical details on (linear, generalized, non–linear) mixed models follow: model assumptions, specifications, estimation techniques and methods of inference. Linear Mixed Models Approach Last updated on Feb 16, 2019 24 min read within-subjects designs , linear mixed effects models , multilevel models , contrasts , ANOVA. In the notation of x1 the marginal mean of Y is E[Y] = X. Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in which regression coefÞcients are themselves given a model, whose parameters are also estimated from data. The Linear Mixed Models procedure is also a flexible tool for fitting other models that can be formulated as mixed linear models. Selected Longitudinal and Panel Data Sets A-24 Appendix G. We apply the lm function to a formula that describes the variable eruptions by the variable waiting, and save the linear regression model in a new variable eruption. Nonlinear Mixed Effects Models While Linear Mixed Effects Models can be used to express linear relationships between sets of variables, nonlinear models can model mechanistic relationships between independent and dependent variables and can estimate more physically interpretable parameters (Pinheiro and Bates, 2000). Fitzsimmons, 3 4 S. The MIXED procedure fits a variety of mixed linear models to data and enables you to use these fitted models to make statistical inferences about the data. " Analyses using both fixed and random effects are called "mixed models" or "mixed effects models" which is one of the terms given to multilevel models. Estimating HLM Models Using R: Part 1. Mixed-effects models which describe the situations where both fixed and random effects are present. Suppose you are studying the affect of an additive (factor with three levels) and temperature (covariate) on the coating thickness of your product. Mixed Models for Missing Data With Repeated Measures Part 1 David C. The fixed effects are specified as regression parameters. The General Linear Model (GLM) underlies most of the statistical analyses that are used in applied and social research. Power and Sample Size in Linear Mixed Effects Models 1 Date Date Name, department 2 Outline of lecture 6 1. Keywords: Generalized linear latent and mixed models; Composite link; Ex-ploded likelihood. 96 Estimated equation of the line: y = 2 + 0. disregarding by-subject variation. Introduction. (1 reply) Hello, I have compared the potentials of R and Stata about GLMM, analysing the dataset 'ohio' in the package 'faraway' (the same dataset is analysed with GEE in the book 'Extending the linear model with R' by Julian Faraway). At the bottom of the mixed output, you see LR test vs. Linear and nonlinear regression are actually named after the functional form of the models that each analysis accepts. The material in this video reviews the General Linear Model (GLM) that encompasses both ANOVA and regression, and it introduces the Linear Mixed Model (LMM), of which HLM is a special case. ABSTRACT SAS® PROC GLIMMIX fits generalized linear mixed models for nonnormal data with random effects, thus combining. Linear models and linear mixed effects models in R with linguistic applications. GLMMs combine and extend the properties of LMM and generalized linear model (GLM) approaches, by relaxing LMM's assumption that the dependent variable (and the residuals) follow a normal (Gaussian) distribution, and extending GLM's scope of inference to extend beyond a single random population. nonlinear program d. glm4 8 3205. Although statistical methods have remained largely fixed in a linear view of biology and behavior, more recent methods, such as the general linear mixed model (mixed model), can be used to analyze dynamic phenomena that are often of interest to nurses. A basic rule of thumb is that we need at least 15 independent observations for each predictor in our model. Generalized linear mixed-effects (GLME) models describe the relationship between a response variable and independent variables using coefficients that can vary with respect to one or more grouping variables, for data with a response variable distribution other than normal. The usual asymptotic ch. Pages 201-270. State-of-the-art methodologies are discussed, among them: linear mixed-effects model, linear growth curve model, generalized linear growth curve model, robust mixed model, models with linear covariance structures, meta-analysis model, models for binary and count. When you need a variety of linear regression models, mixed linear models, regression with discrete dependent variables, and more - StatsModels has options. But unlike their purely fixed-effects cousins, they lack an obvious criterion to assess model fit. fixed distinction for variables and effects is important in multilevel regression. Maxim Integrated develops innovative analog ICs for the automotive, industrial, healthcare, mobile consumer, and cloud data center markets. Our products include Lindo API, LINGO, and What'sBest for Excel. To use a command indicated you might have to load the corresponding library. Catherine Truxillo, Ph. Helwig (U of Minnesota) Linear Mixed-Effects Regression Updated 04-Jan-2017 : Slide 17 One-Way Repeated Measures ANOVA Model Form and Assumptions Note on Compound Symmetry and Sphericity. Rats example • 30 young rats, weights measured weekly for five weeks Linear regression model with random. 5 Likelihood Equations for Mixed Linear Models A-16 Appendix E. Named after Leonor Michaelis and Maud Menten, this model of enzyme kinetics describes the relationship between the concentration and the rate of enzyme-mediated reaction. Linear Regression¶ Linear models with independently and identically distributed errors, and for errors with heteroscedasticity or autocorrelation. 75x^ Statistics in Science ΣΣΣΣ Assumptions for a Simple Linear Regression model Note: If you are fitting a simple linear regression model to your own data, there are assumptions that must be satisfied. In other words, a model which relates the independent variable to the dependent variable. of r, and an insight into the analogy of a linear mixed model with a linear model where the random effects have fewer than full degrees of freedom. UnicodeMath resembles real mathematical notation the most in comparison to all of the math linear formats, and it is the most concise linear format, though some may prefer editing in the LaTeX input over UnicodeMath since that is widely used in academia. The independent variables can be measured at any level (i. Mixed models add at least one random variable to a linear or generalized linear model. 3 Model de nition Linear and nonlinear mixed-e ects models Both linear and nonlinear mixed-e ects models, are based on the n-dimensional response random variable, Y, whose value, y, is observed, and the q-dimensional, unobserved random e ects variable, B. (1 reply) Hello, I have compared the potentials of R and Stata about GLMM, analysing the dataset 'ohio' in the package 'faraway' (the same dataset is analysed with GEE in the book 'Extending the linear model with R' by Julian Faraway). Mixed Models Theory This section provides an overview of a likelihood-based approach to general linear mixed models. disciplines, we begin by describing what mixed-e ects models are and by ex-ploring a very simple example of one type of mixed model, the linear mixed model. (GLM includes such procedures as t-tests, analysis of variance, correlation, regression, and factor analysis, to name a few. The fixed effects are specified as regression parameters. Linear Mixed Effects models are used for regression analyses involving dependent data. The exchange interaction in these models decreases linearly as a function of the se. Analyzing Data from Within-Subjects Designs: Multivariate Approach vs. So, let's start with SAS mixed model. This manual covers classic statistical techniques of linear and non-linear regression for normally distributed data, and introduces the General Linear Model (GLM) for data that are. 2 A Bayesian Multiple Linear Regression Model 279 11. switching to mixed effects models Somewhat less relevant now that we can use mixed effects models instead F 1 = 18. The 60 respondents we actually have in our data are sufficient for our model. If you continue browsing the site, you agree to the use of cookies on this website. Power and Sample Size in Linear Mixed Effects Models 1 Date Date Name, department 2 Outline of lecture 6 1. Estimating sample size using simulations 5. There are plenty of popular programs that provide basic linear progressions for beginners, but let's discuss how to apply those same principles once you plateau on your beginner program. Linear mixed models are an extension of simple linear models to allow both fixed and random effects, and are particularly used when there is non independence in the data, such as arises from a hierarchical structure. These are called nonnegativity constraints and are often found in linear programming problems. Linear mixed models The approach of Chen and Dunson (2003) allowed for Bayesian selection of predictors with x ed and random effects in the linear mixed effects (LME) model (Laird and Ware, 1982); however, their approach had the disadvantages of (i) relying on subjective priors that are difcult to elicit, and (ii) computational. Linear mixed models (LMM) handle data where observations are not independent. The second is treating logs of continuous data as normally. The general linear model General Linear Models In the linear model it is assumed that belongs to a linear (or a ne) subspace 0 of Rn. of models – Mixture models – Mixed membership models – Regression models – Matrix factorization models – Models based on time and space 2 What is a hierarchical model? • There isn't a single authorative definition of a hierarchical model. Plotting y versus x, this model. Generalized linear models, linear mixed models, generalized linear mixed models, marginal models, GEE models. 266) We can easily test if it is necessary to treat words as a random effect As mixed-effects regression models are an extension of multiple regression, a brief recap follows Martijn Wieling Mixed-effects regression models 6/26. GLMs are most commonly used to model binary or count data, so. 0000 Note: LR test is conservative and provided only for reference. I prefer PROC GLM over PROC MIXED especially for multiple comparisons. data, subset, and na. Generalized Linear Models Using SPSS. Assumption 1 The regression model is linear in parameters. In this paper we describe the formulation and representation of linear mixed models. The other constraints are then called the main constraints. Similar tests. KEYWORDS: Sensitivity Analysis, Model Simplification, Graphs of Linear Programs, Embedded and Hidden Structures, Sparse Matrix Techniques for Simplex and Interior Methods, Course Notes. What is the difference between GLMM and the Linear Mixed Model - which can be defined as equivelent to HLM?? Is it accurate to say that we used a linear mixed model to account for missing data. Except as permitted under. A, Pulmonary Embolism Result Forecast Model (PERFORM): the proposed workflow begins with all raw structured electronic medical record (EMR) data within 1 year prior to the encount. EVALUATION OF GENERALIZED LINEAR MODEL ASSUMPTIONS USING RANDOMIZATION Tony McCue, Erin Carruthers, Jenn Dawe, Shanshan Liu, Ashley Robar, Kelly Johnson Introduction Generalized linear models (GLMs) represent a class of regression models that allow us to generalize the linear regression approach to accommodate many types of response. This simple example allows us to illustrate the use of the lmer function in the lme4 package for tting such models and for analyzing the tted model. See the Handbook for information on these topics. The MIXED procedure fits a variety of mixed linear models to data and enables you to use these fitted models to make statistical inferences about the data. Example 1: The rat data 4. binary integer linear program. However, if you simply aren't able to get a good fit with linear regression, then it might be time to try nonlinear regression. Categorical predictors should be selected as factors in the model. Generalized linear mixed-effects (GLME) models describe the relationship between a response variable and independent variables using coefficients that can vary with respect to one or more grouping variables, for data with a response variable distribution other than normal. The role of linear transportation infrastructures (roads, railways, oil and gas pipelines, power lines, rivers and canals) in fragmenting natural habitats is fully ack. Linear Trapezoidal Method. Various methods have been developed for classifying animal movemen. Modeling Data and Curve Fitting¶. Introduction to Mixed-Effects Models for Hierarchical and Longitudinal Data 14 3. Basically, I am unclear about the difference between log-linear model and poisson regression, and not sure which one to use to answer the following research question. Motivation In this lecture we extend the ideas of linear regression to the more general idea of a generalized linear model (GLM). linear pricing structure in 19 negotiations. There are also several options for Bayesian approaches, but that will be another post. If we wanted to predict the Distance required for a car to stop given its speed, we would get a training set and. 0001 Problem One: Crossed Random Effects Note: not real data or statistical tests. When we have a design in which we have both random and fixed variables, we have what is often called a mixed model. R vs Stata on generalized linear mixed models: glmer and xtmelogit. But unlike their purely fixed-effects cousins, they lack an obvious criterion to assess model fit. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. I've searched for examples of pre/post analyses but haven't been able to find a suitable one and would appreciate your feedback. The value of can be determined completely when is given. Linear mixed models Just as a linear model is described by the distribution of a vector-valued random response variable, Y, whose observed value is y obs, a linear mixed model is described by the distribution of two vector-valued random variables: Y, the response, and B, the vector of random effects. Subsequently, mixed modeling has become a major area of statistical research, including work on computation of maximum likelihood estimates, non-linear mixed effects models, missing data in mixed effects models, and Bayesian estimation of mixed effects models. This procedure is comparable to analyzing mixed models in SPSS by clicking: Analyze >> Mixed Models >> Linear Explanation: The following window from the SAS help menu shows the options available within the PROC. In these SAS Mixed Model, we will focus on 6 different types of procedures: PROC MIXED, PROC NLMIXED, PROC PHREG, PROC GLIMMIX, PROC VARCOMP, and ROC HPMIXED with examples & syntax. " Analyses using both fixed and random effects are called "mixed models" or "mixed effects models" which is one of the terms given to multilevel models. We will focus on a special class of models known as the generalized linear models (GLIMs or GLMs in Agresti). Their criterion, based on Bayesian. for mixed models, emphasizing the normal linear mixed model. Frequentist attempts to Þt these models generally rely on approximate results and inference relies on asymptotic assumptions. This example illustrates how a two-stage procedure (i. An (extremely simplified) steel company must decide how to allocate next week's time on a rolling mill. xtmixed fits linear models, likeamixed-effects counterpart toregress, Similarly, xtmelogit fitsmixed-effects logitregression models forbinary outcomes, likeageneralization. How the test works. An example of model equation that is linear in parameters. •ProcMixed can be used to fit Linear Mixed Models (LMMs) for repeated measures/longitudinal or clustered data •In this example, we demonstrate the use of Proc Mixed for the analysis of a clustered‐longitudinal data set •The data we will use is derived from the Longitudinal. 001 F 2 = 22. At last, we also learn SAS mixed models with examples. The exchange interaction in these models decreases linearly as a function of the se. You've probably heard of more than one of them and you've probably also heard that each one is an extension of our old friend, the general linear model. R vs Stata on generalized linear mixed models: glmer and xtmelogit. Random intercepts models, where all responses in a group are additively shifted by a. From the help file for xtmixed: Remarks on specifying random-effects equations. This is true, and they extend. The mixed-model design gets its name because there are two types of variable, a between-subjects variable and a within-subjects variable. At last, we also learn SAS mixed models with examples. Within this package function hlme estimates latent class mixed models assuming a gaussian outcome. 73 Prob > chi2 = 0. Proc GLM was designed to. Using linear regression we assumed that the dependent variable was linearly related to the covariates in an additive way. fixed: a two-sided linear formula object describing the fixed-effects part of the model, with the response on the left of a ~ operator and the terms, separated by + operators, on the right, an "lmList" object, or a "groupedData" object. 3 Model de nition Linear and nonlinear mixed-e ects models Both linear and nonlinear mixed-e ects models, are based on the n-dimensional response random variable, Y, whose value, y, is observed, and the q-dimensional, unobserved random e ects variable, B. Assumptions for generalized linear mixed models: 1) The conditional distribution is a generalized linear model (binomial, Poisson, multinomial) 2) h is the link function 3) b ~ MVN(0, G) When z i = 0, the mixed model reduces to the standard generalized linear model. You can type most equations in UnicodeMath quickly by using Math AutoCorrect codes. Linear Mixed-Effects Models. R-square shows the amount of variance of Y explained by X. Correlation versus linear regression. SPSS mixed model repeated measures code [from Cross Validated] is considered not ready for hierarchical linear models. Using the most appropriate model, forecast the number of barrels, in billions, in 2009. Endogeneity in the linear model 3. interface for visualizing regression models arising from a wide class of models: linear models, generalized linear models, robust regression models, additive models, proportional hazards models, and more. We implement this interface in R (R Development Core Team, 2011) and provide it as the package visreg, publicly. Nonetheless, the fit is very similar to our Poisson model (glm4), and unlike the quasipoisson fit we can compare the models via AIC: AIC(glm4,nb1) df AIC. " Analyses using both fixed and random effects are called "mixed models" or "mixed effects models" which is one of the terms given to multilevel models. If you want something non-linear, you can try different basis functions, use polynomial features, or use a different method for regression (like a NN). KEYWORDS: Sensitivity Analysis, Model Simplification, Graphs of Linear Programs, Embedded and Hidden Structures, Sparse Matrix Techniques for Simplex and Interior Methods, Course Notes. Mixed model designs are an extension of the general linear model, as in analysis of variance (ANOVA) designs. For general linear models the distribution of residuals is assumed to be Gaussian. Despite their simplicity, the biggest problem with mixed effects models (from an educational point of view, especially) has been figuring out how to write consistent model specifications for random effects. McCullagh and Nelder [32] describe these in greatdetail and indicatethat the term'generalizedlin-earmodel. Remark: The general form of the mixed linear model is the same for clustered and longitudinal observations. , 2004 – "Estimating the population distribution of unonobserved. That is to say, multiple regression. Finally, we explain the linear mixed-e ects (LME) model for lon-gitudinal analysis [Bernal-Rusiel et al. - This uses only the basic non-linear fitting functions and linear mixed effects model available in most statistical packages. Next, you must define the within-subjects factor(s). Vaida and Xu (2000) provided a general framework for handling ran-dom effects in proportional hazards (PH) regression, in a way similar to the linear, non-linear and generalized linear mixed effects models that allow ran-dom effects of arbitrary covariates. • ANOVA theory is applied using three basic models (fixed effects model, random effects model, and mixed effects model) while regression is applied using two models (linear regression model and multiple regression model). 0000 Note: LR test is conservative and provided only for reference. This is an example of a(n) _____. Mixed Integer Linear Model: In this section, our mixed integer linear model for host problem with finite capacity in facilities and different coverage distances are presented as follows: Subject to: Max y n i n j ijkl 21 11 (1) x p n i n j ij 21 11 (2) 2 1 1 1,, 1 x i n n j ij (3) 1 1 1 1,, 2 x j n n i ij (4). Researchers sometimes refer to split-plot designs, randomized complete block, nested, two-way mixed ANOVAs , and certain repeated measures designs as mixed models. View source: R/nbinom. I I'll restrict myself to two-level models, but three or more levels can also. Fit Linear Models Inference Model Diagnostics Model Selection Descriptive Plots Generalized Linear Models Fit Linear Models Functions for tting linear models lm() Fits linear models (linear regression or ANOVA) aov() Fits balanced ANOVA model; returns Type I, sequential sum of squares Main di erence between lm() and aov() is the way summary. For more info please look at the appendix about assessing the accuracy of our model. that best linear unbiased estimators (of the coefficients and linear combinations of them) are found via the generalized least squares estimator. Nonlinear Integer Programs An IP model is an integer linear program (ILP) if its (single) objective function and all its constraints are linear Otherwise, it is an integer nonlinear program (INLP) Standard Mixed-Integer Linear Programming (MILP) Formulation: min x,y z =∆ cTx +dTy s. Some specific linear mixed effects models are. Mixed-Effects Models in S and S-PLUS. Var_name is the name of the objective variable that is being. can be evaluated.


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Demi Lovato On Cover Of Cosmo; She Goes On Rant About Stars Who Glorify Drug Use
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(12 May '18)
The show "Do No Harm" is canceled after just two episodes. The NBC series - http://www.groundreport.com/?s=NBC%20series which had a "Jekyll and Hyde" theme to it, apparently failed to attract enough interest from viewers to stay on television much longer.
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Metapan was able to score in the 55th minute when Nicolas Munoz got down the right flank and sent a ball back to the penalty spot where Rodolfo Suarez was able to get on the end of the cross. He hit a shot that demi lovato wikipedia - http://www.mtv.com/artists/demi-lovato deflected off of Bryan Jordan. Brian Perk was scampering across the goal and was unable to react to the deflection.
Gregg Berhalter is another option to help replace Leonardo, but Berhalter is still recovering from his own injury. Berhalter is still two to three weeks from returning.
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Keane gave the Galaxy an insurance goal in the 78th minute after Landon Donovan picked the ball up in midfield, the Galaxy had a two on two break. Donovan drew both defenders, and laid it off to Keane who was in an acre of space. Keane did well to hold his run and stay onsides. He took a poor touch to take him away from goal, but was still able to beat Fire keeper Sean Johnson to the near post.
"CSI: Miami" finally returns with six new episodes after more than a month on hiatus. The crime drama has been plagued lately with rumors of cancellation. This is the show's ninth season on CBS. However Jerry Bruckheimer's productions haven't faired well lately. With the cancellations of "Chase" on NBC, "The Forgotten" and "The Whole Truth" on ABC and "Miami Medical" on CBS; has the producer stretched himself too thin? Will the "CSI" franchise remain intact? We'll just have to wait and see. "CSI: Miami" airs tonight at 10 P.M. on CBS, WGCL-TV Atlanta Comcast channel 9/809.
One encouraging sign was A.J. De la Garza's ability to get down the sideline. This was De la Garza's first game at outside back this season, and he showed much more willingness to get down the flanks. This was something he was often hesitant to do last season. De la Garza has traditionally been a central defender, but height concerns have often pushed him to outside back. He is a very skilled defender but often was missing the ability to contribute to the attack. However, that appears to have changed, as he had multiple forays down the right sideline and sent one teasing ball into Franklin that forced a good save from the keeper and a clear off the touchline from a defender off of Mike Magee's rebound attempt.
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There is a difference between being wise and being smart… Knowledge is the accumulation of facts. Wisdom is the beneficial application of facts to life.
January 3, 2019 in Daily Walk.
January 2, 2019 in Daily Walk.
When everything that can go wrong, is going wrong, how will you respond?
August 21, 2018 in Daily Walk.
The end of the story has already been written. It is now only a matter of how we will get from here to there.
August 3, 2018 in Daily Walk.
If you were granted one wish, what would you choose to ask for?
July 20, 2018 in Daily Walk.
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An Algerian Rebuke to "The Stranger"
By Elisabeth Zerofsky
France has looked to the Algerian novelist Kamel Daoud to explain its relations with its former colony.Photograph by Bertrand Langlois / AFP / Getty
"There were two who died. Yes, two," Kamel Daoud writes in his meditative first novel, "Meursault, Counter Investigation." "The first knew how to tell a story, to the point where everyone forgot about his crime, whereas the second was a poor illiterate whom God created only, it seems, to receive a bullet and return to dust, an unknown without the time even for a name." Daoud has said that his novel is an homage to Albert Camus's "The Stranger," but it reads more like a rebuke. Camus's French-Algerian hero, sentenced to execution for the murder of an Arab, descends into a bloodless interrogation of life in the face of death. In "Meursault," Daoud imagines a brother, Haroun, for Camus's nameless Arab, who recounts the grief that he and his mother suffered after the murder, as the world was entranced by the intellectual calisthenics of the criminal. Haroun's quest for justice over the next twenty years is really a tale of the Algerian struggle for independence. When at last he takes his vengeance, it is July 1962, the eve of liberation. But independence, and the exchange of power that comes with it, hardly settles everything; the violence of colonialism, followed by the vacuum of withdrawal, pushed the young nation into years of civil war. "It was your hero who killed," Haroun says to a French companion, "but it is I who am condemned to wander."
Last fall, Daoud's novel was the "surprise guest," as _Le Figaro _put it, on the shortlist for the Prix Goncourt, France's highest literary award. (The book was first published in Algeria, in 2013. It appeared in France last year and is scheduled to come out in English this year, in an edition by Other Press.) The factors that contributed to the so-called surprise were, presumably, that "Meursault" is Daoud's first novel (though he has published two collections of short stories and writes a column for an Algerian daily), and that he is an Algerian writer educated and residing in Algeria, unlike most well-known writers of North African origin writing in French, who move to Paris to cultivate their careers. Daoud lost, to Lydie Salvayre, who was honored for her novel "Pas Pleurer," about the Spanish Civil War. Had he won, and received the French cultural establishment's ultimate seal of approval, the award might, in a way, have tarnished the book's true accomplishments. Daoud's work is not simply a riff on the French canon, but rather a vast and searching allegory of the conquest of a people. In the novel, Haroun writes that his literary task is to "take one by one the stones of the old homes of the colonists and make of them a home of my own, a language to myself." This description could, just as aptly, be applied to Daoud's own project.
Around the time of the Goncourt award, in November, Daoud made the publicity rounds in Paris, revealing a quiet, sober face and a mild-mannered persona that presented a startling contrast to the heat of his written words. Perhaps he was uncomfortable in the spotlight. Then, in mid-December, a few weeks into his media blitz, Daoud found himself the target of a new type of attention: a man named Abdelfattah Hamadache Zeraoui, who claimed to be the imam of a Salafist group called the Islamist Awakening Front, issued a fatwa calling for Daoud to be put to death. "If Islamic sharia were applied in Algeria, the punishment would be death for apostasy and heresy. ... [Daoud] placed the Quran in doubt, along with the sanctity of Islam: he injured the dignity of Muslims and praised the West and the Zionists," Zeraoui wrote on Facebook. "We therefore call upon the Algerian regime to condemn him to public execution, because of his war against God, his Prophet, his Book, Muslims and their country."
It wasn't clear whether Zeraoui was referring to Daoud's novel or to his public statements (or whether he had the clerical authority to make such a pronouncement). But his threat likely was related to Daoud's comments on a talk show a few days earlier. Daoud had been asked about a particularly sharp passage in his novel, concerning organized religion. "If in the so-called Arab world we don't solve the question of God," Daoud said, "we're not going to advance. So long as God is so important, so long as God is so over-interpreted, man becomes secondary. That's a bit philosophical, but at the same time it's very vital to me, very immediate. I think the question of religion has become essential in the Arab world. We must solve it, we must reflect on it, we must create a bit of distance in order to be able to move forward, to be able to share the world." When the fatwa appeared, Daoud filed a complaint with the Algerian government, but no action appears to have been taken. The French media's interest in Daoud intensified and turned from his novel to his statements about Islam and politics (a subject he had written about for many years, in his newspaper column) and what they had brought upon him.
Three weeks later, Saïd and Chérif Kouachi, brothers born in France to Algerian parents, stormed the Charlie Hebdo office, in the center of Paris, and assassinated eleven members of the newspaper's staff. Daoud was, once again, a sought-after interlocutor, someone who could speak as both a critic and a victim of France's ongoing divorce from its former empire. "In Algeria, the problem is that there is no alternative ideology to Islamism," Daoud said in an interview with Le Monde a week after the attack. "If you are not an Islamist at seventeen, which is a legal adult, then what are you? Islamism takes care of you completely: your body, your sexuality, your life, your relations with others. On the other side, there is nothing. This is the philosophical disaster of the Arab world." There can be no justification, no rationalization for what the Kouachi brothers did. There is, however, room to understand France's ongoing ethnic and cultural conflicts partly as a legacy of violence and subjugation. Daoud, in both his novel and his political commentary, has proved himself to be a sensitive and insightful interpreter of the textures of this history.
But "Meursault, Counter Investigation" is not only a colonial drama. Where Camus's godless prose is coolly mathematical in its ratio of words to meaning ("like Euclidean geometry" Haroun notes), Daoud's work conducts waves of warmth. The sand and the sea and the sky and the stars, which, for Camus, seem to negate life rather than affirm it, are, for Daoud, vital witnesses and participants in his existence. "With all my body and both of my hands, I hold to this life that I will be alone in losing and to which I am the only witness," Haroun writes. "As for death, I came close several years ago, and it never brought me nearer to God. It only gave me a desire for sensation that is even more powerful, more insatiable, and increased the depth of my own mystery. They are all going toward death in a single file line, and as for me, I am returning, and I can say that on the other side, it's only an empty beach beneath the sky." It is a fool's task to try to quote this novel, which must be read as one ecstatic whole. Daoud's explanation: "It's a literary digression that I pursue because Algeria suffocates me, and in order to loosen its grasp, I read and I write."
Elisabeth Zerofsky is a writer based in Berlin.
More:AlgeriaColonialismFranceLiterature
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Cultural Chronicles
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