For the holiday season, here are some audio gifts from various shows and one Phantom video! The link to them is here and the info is below the cut:
Happy holidays and I hope you are all having time for some rest!
Audios
POTO
Jon Robyns, Paige Blankson, Joe Griffiths-Brown, Kelly Glyptis, Matt Harrop, Adam Linstead, Francesca Ellis, David Kristopher Brown, Maiya Hikasa
August 22, 2023; London
Tim Howar, Harriet Jones, Nadim Naaman, Lara Martins, Nicholas Garrett, Arvid Larsen, John Ellis, Valerie Cutko, Kelsi Boyden
March 19, 2023; Greece
Josh Piterman, Corinne Cowling (u/s), Danny Whitehead, Katy Hanna (u/s), Ross Dawes, Kris Manuel (u/s), Sophie Caton (u/s), Paul Ettore Tabone, Georgia Ware
October 17, 2019; London
Matinee.
Jeremy Stolle (u/s), Samantha Hill, Greg Mills (u/s), Michele McConnell, Richard Poole (u/s), Tim Jerome, Ellen Harvey, Christian Sebek, Kara Klein, Scott Mikita (u/s)
March 9, 2013; Broadway
Matinee performance.
John Owen-Jones, Deborah Dutcher, Matthew Cammelle, Bruce Montague, Charles Shirvell, Margaret Mary Kane (u/s), Janet Murphy, Jeremy Secomb, Lucy Middleton
January 5, 2002; London
Love Never Dies
Tam Mutu, Celia Graham, David Thaxton, Daniel Dowling
August 25, 2011; London
Tam Mutu's last performance.
Les Miserables
Christopher Jacobsen (u/s Jean Valjean), Stewart Clarke (Javert), Katie Hall (Fantine), Will Callan (Marius), Lulu-Mae Pears (Cosette), Amena El-Kindy (Eponine), Luke Kempner (Thenardier), Claire Machin (Madame Thenardier), Dejan Van der Flyert (Enjolras), Alex Shaw (Gavroche), Clohe Sullivan (Little Cosette), Tom Hext (Grantaire/Majordomo), Adam Pearce (Bishop/Claquesous), Ellie Ann Lowe (Factory Girl), Jordan Simon Pollard (u/s Foreman/Bujon), Matt Dempsey (Bamatabopis/Lesgles), Annabelle Aquino, Hazel Baldwin, Emily Olive Boyd, Ben Culleton, Matt Hayden, Sam Kipling, Anouk Van Lake, Harry Lake, Ben Oatley, Jonathan Stevens, Phoebe Williams, Ollie Wray
September 28, 2023; London
15,000th show in London and the 5th show for the new company.
Sunset Boulevard
Nicole Scherzinger (Norma), Tom Francis (Joe Gillis), David Thaxton (Max von Mayerling), Grace Hodgett Young (Betty Shaefer), Ahmed Hamaad (Artie), Tyler Davis (Sheldrake), Charlotte Jaconelli (Johanna), Jon Tsouras (Cecil B. de Mille)
September 28, 2023; London
Rebecca
Laureen Jones (I), Richard Carson (Maxim de Winter), Kara Lane (Mrs Danvers), Sara Harlington (Beatrice), Neil Moor (Giles), Piers Bate (Frank Crewley), David Breeds (Ben), Alex James Ward (Jack Favell), Shrley Jameson (Mrs Van Hopper), Nicholas Lumley (Colonel Julian)
September 27, 2023; Off-West End
POTO Video
Ian Jon Bourg, Olivia Safe (u/s), Kyle Gonyea
2001; Hamburg, Germany
VOB files. One of the most legendary Phantom's opposite one of the youngest Christine's!
I found some old character/pairing lists on my long-defunct journal and they amused me so I am reposting them here.
Main thoughts: I have no idea why I thought I was most like Vicky, I like June a lot now, and 2024 me really wishes that there was way more Jim/Anyone than there is.
2011 Fandom Survey
Favourite male: Rod Skase. Always. He had so much innate ability, but he always cocked things up because he was too busy trying to look good.
Favourite female: Viv Martella. She was such a brilliant character. She was in the show back when female officers were still a rarity and she dealt with the male characters' doubt in her abilities by showing, time and time again, that she could cope with anything the job threw at her while retaining her sense of humour and ability to care.
Least favourite: Ugh, so many of the post-shark-jumping characters and the awful changes made to formerly-good characters. I'm going to run with the changed version of John Boulton, though, because the proper John Boulton was one of my absolute favourites and they absolutely ruined his character by making him into something else entirely. In a way, it was good that they killed him off (although HOW they killed him off was also ridiculous), because it hurt to watch such a fantastic character being so utterly ruined. Thank goodness Rod went out in a way that was perfect for who he was, staying in character from beginning to end.
Who resembles me: Vicky Hagen.
Three more characters that I like: Frank Burnside, Cass Rickman, Roy Galloway. SO MANY MORE.
Favourite ship: Skase/Boulton. Pre-ruining of Boulton, thankyouverymuch.
2009 Favourite Characters List
CID
* Rod Skase (duh)
* John Boulton
* Roy Galloway
* Tom Proctor
* Frank Burnside
* Jack Meadows
* Ted Roach
* Alan Woods
* Liz Rawton
* Viv Martella
* Alistair Grieg
Uniform
* Taffy Edwards
* Matt Boyden
* Steve Loxton
* Reg Hollis
* Yorkie Smith
* Cass Rickman
* Vicky Hagen
* Nick Klein
* Dale Smith (as he was the first time around)
* Andrew Monroe
* Gina Gold
* Sam Harker
* Bob Cryer
* Derek Conway
* Gary Best
* Jim Carver (as in old-time Jim, not drunk!Jim)
2006 Fandom Survey
Favorite "Characters": Rod Skase, John Boulton, Tom Proctor, Gary Best, Frank Burnside, Mike Dashwood, Reg Hollis
Least Favorite "Characters": June Ackland, Debbie McAllister, a large proportion of the cast that came in the couple of years following the Great Sun Hill Barbeque
Favorite Ships: Rod/John, Rod/Tom, Des/Reg, Nick/Smiffy, Cass/Vicky
Ships that make me nauseous: Oh God, the Dave/Jenny/George rubbish. Also anything that paired together people who had worked together for years without showing any interest in each other. Names commonly involved with this? Jim, June, Tony & Polly.
2002 Fandom Survey
Favorite Pairings:
Skase/Boulton
Skase/Proctor
Boulton/Proctor
Meadows/Monroe
Stamp/Ashton
Klein/Smith
Hagan/Boyden
Pairings I’m dying to write:
Klein/Smith
Pairings I’m not keen on reading:
Jim/Anyone
With programmable pixels, novel sensor improves imaging of neural activity
New Post has been published on https://sunalei.org/news/with-programmable-pixels-novel-sensor-improves-imaging-of-neural-activity/
With programmable pixels, novel sensor improves imaging of neural activity
Neurons communicate electrically, so to understand how they produce such brain functions as memory, neuroscientists must track how their voltage changes — sometimes subtly — on the timescale of milliseconds. In a new open-access paper in Nature Communications, MIT researchers describe a novel image sensor with the capability to substantially increase that ability.
The invention led by Jie Zhang, a postdoc in the lab of Matt Wilson, who is the Sherman Fairchild Professor at MIT and member of The Picower Institute for Learning and Memory, is a new take on the standard “CMOS” (complementary metal-oxide semiconductor) technology used in scientific imaging. In that standard approach, all pixels turn on and off at the same time — a configuration with an inherent trade-off in which fast sampling means capturing less light. The new chip enables each pixel’s timing to be controlled individually. That arrangement provides a “best of both worlds” in which neighboring pixels can essentially complement each other to capture all the available light without sacrificing speed.
In experiments described in the study, Zhang and Wilson’s team demonstrates how “pixelwise” programmability enabled them to improve visualization of neural voltage “spikes,” which are the signals neurons use to communicate with each other, and even the more subtle, momentary fluctuations in their voltage that constantly occur between those spiking events.
“Measuring with single-spike resolution is really important as part of our research approach,” says senior author Wilson, a professor in MIT’s departments of Biology and Brain and Cognitive Sciences (BCS), whose lab studies how the brain encodes and refines spatial memories both during wakeful exploration and during sleep. “Thinking about the encoding processes within the brain, single spikes and the timing of those spikes is important in understanding how the brain processes information.”
For decades, Wilson has helped to drive innovations in the use of electrodes to tap into neural electrical signals in real time, but like many researchers he has also sought visual readouts of electrical activity because they can highlight large areas of tissue and still show which exact neurons are electrically active at any given moment. Being able to identify which neurons are active can enable researchers to learn which types of neurons are participating in memory processes, providing important clues about how brain circuits work.
In recent years, neuroscientists including co-senior author Ed Boyden, the Y. Eva Tan Professor of Neurotechnology in BCS and the McGovern Institute for Brain Research and a Picower Institute affiliate, have worked to meet that need by inventing “genetically encoded voltage indicators” (GEVIs) that make cells glow as their voltage changes in real time. But as Zhang and Wilson have tried to employ GEVIs in their research, they’ve found that conventional CMOS image sensors were missing a lot of the action. If they operated too fast, they wouldn’t gather enough light. If they operated too slowly, they’d miss rapid changes.
But image sensors have such fine resolution that many pixels are really looking at essentially the same place on the scale of a whole neuron, Wilson says. Recognizing that there was resolution to spare, Zhang applied his expertise in sensor design to invent an image sensor chip that would enable neighboring pixels to each have their own timing. Faster ones could capture rapid changes. Slower-working ones could gather more light. No action or photons would be missed. Zhang also cleverly engineered the required control electronics so they barely cut into the space available for light-sensitive elements on a pixels. This ensured the sensor’s high sensitivity under low light conditions, Zhang says.
In the study the researchers demonstrated two ways in which the chip improved imaging of voltage activity of mouse hippocampus neurons cultured in a dish. They ran their sensor head-to-head against an industry standard scientific CMOS image sensor chip.
In the first set of experiments, the team sought to image the fast dynamics of neural voltage. On the conventional CMOS chip, each pixel had a zippy 1.25 millisecond exposure time. On the pixelwise sensor each pixel in neighboring groups of four stayed on for 5 ms, but their start times were staggered so that each one turned on and off 1.25 seconds later than the next. In the study, the team shows that each pixel, because it was on longer, gathered more light, but because each one was capturing a new view every 1.25 ms, it was equivalent to simply having a fast temporal resolution. The result was a doubling of the signal-to-noise ratio for the pixelwise chip. This achieves high temporal resolution at a fraction of the sampling rate compared to conventional CMOS chips, Zhang says.
Moreover, the pixelwise chip detected neural spiking activities that the conventional sensor missed. And when the researchers compared the performance of each kind of sensor against the electrical readings made with a traditional patch clamp electrode, they found that the staggered pixelwise measurements better matched that of the patch clamp.
In the second set of experiments, the team sought to demonstrate that the pixelwise chip could capture both the fast dynamics and also the slower, more subtle “subthreshold” voltage variances neurons exhibit. To do so they varied the exposure durations of neighboring pixels in the pixelwise chip, ranging from 15.4 ms down to just 1.9 ms. In this way, fast pixels sampled every quick change (albeit faintly), while slower pixels integrated enough light over time to track even subtle slower fluctuations. By integrating the data from each pixel, the chip was indeed able to capture both fast spiking and slower subthreshold changes, the researchers reported.
The experiments with small clusters of neurons in a dish was only a proof of concept, Wilson says. His lab’s ultimate goal is to conduct brain-wide, real-time measurements of activity in distinct types of neurons in animals even as they are freely moving about and learning how to navigate mazes. The development of GEVIs and of image sensors like the pixelwise chip that can successfully take advantage of what they show is crucial to making that goal feasible.
“That’s the idea of everything we want to put together: large-scale voltage imaging of genetically tagged neurons in freely behaving animals,” Wilson says.
To achieve this, Zhang adds, “We are already working on the next iteration of chips with lower noise, higher pixel counts, time-resolution of multiple kHz, and small form factors for imaging in freely behaving animals.”
The research is advancing pixel by pixel.
In addition to Zhang, Wilson, and Boyden, the paper’s other authors are Jonathan Newman, Zeguan Wang, Yong Qian, Pedro Feliciano-Ramos, Wei Guo, Takato Honda, Zhe Sage Chen, Changyang Linghu, Ralph-Etienne Cummings, and Eric Fossum.
The Picower Institute, The JPB Foundation, the Alana Foundation, The Louis B. Thalheimer Fund for Translational Research, the National Institutes of Health, HHMI, Lisa Yang, and John Doerr provided support for the research.
With programmable pixels, novel sensor improves imaging of neural activity
New Post has been published on https://thedigitalinsider.com/with-programmable-pixels-novel-sensor-improves-imaging-of-neural-activity/
With programmable pixels, novel sensor improves imaging of neural activity
Neurons communicate electrically, so to understand how they produce such brain functions as memory, neuroscientists must track how their voltage changes — sometimes subtly — on the timescale of milliseconds. In a new open-access paper in Nature Communications, MIT researchers describe a novel image sensor with the capability to substantially increase that ability.
The invention led by Jie Zhang, a postdoc in the lab of Matt Wilson, who is the Sherman Fairchild Professor at MIT and member of The Picower Institute for Learning and Memory, is a new take on the standard “CMOS” (complementary metal-oxide semiconductor) technology used in scientific imaging. In that standard approach, all pixels turn on and off at the same time — a configuration with an inherent trade-off in which fast sampling means capturing less light. The new chip enables each pixel’s timing to be controlled individually. That arrangement provides a “best of both worlds” in which neighboring pixels can essentially complement each other to capture all the available light without sacrificing speed.
In experiments described in the study, Zhang and Wilson’s team demonstrates how “pixelwise” programmability enabled them to improve visualization of neural voltage “spikes,” which are the signals neurons use to communicate with each other, and even the more subtle, momentary fluctuations in their voltage that constantly occur between those spiking events.
“Measuring with single-spike resolution is really important as part of our research approach,” says senior author Wilson, a professor in MIT’s departments of Biology and Brain and Cognitive Sciences (BCS), whose lab studies how the brain encodes and refines spatial memories both during wakeful exploration and during sleep. “Thinking about the encoding processes within the brain, single spikes and the timing of those spikes is important in understanding how the brain processes information.”
For decades, Wilson has helped to drive innovations in the use of electrodes to tap into neural electrical signals in real time, but like many researchers he has also sought visual readouts of electrical activity because they can highlight large areas of tissue and still show which exact neurons are electrically active at any given moment. Being able to identify which neurons are active can enable researchers to learn which types of neurons are participating in memory processes, providing important clues about how brain circuits work.
In recent years, neuroscientists including co-senior author Ed Boyden, the Y. Eva Tan Professor of Neurotechnology in BCS and the McGovern Institute for Brain Research and a Picower Institute affiliate, have worked to meet that need by inventing “genetically encoded voltage indicators” (GEVIs) that make cells glow as their voltage changes in real time. But as Zhang and Wilson have tried to employ GEVIs in their research, they’ve found that conventional CMOS image sensors were missing a lot of the action. If they operated too fast, they wouldn’t gather enough light. If they operated too slowly, they’d miss rapid changes.
But image sensors have such fine resolution that many pixels are really looking at essentially the same place on the scale of a whole neuron, Wilson says. Recognizing that there was resolution to spare, Zhang applied his expertise in sensor design to invent an image sensor chip that would enable neighboring pixels to each have their own timing. Faster ones could capture rapid changes. Slower-working ones could gather more light. No action or photons would be missed. Zhang also cleverly engineered the required control electronics so they barely cut into the space available for light-sensitive elements on a pixels. This ensured the sensor’s high sensitivity under low light conditions, Zhang says.
In the study the researchers demonstrated two ways in which the chip improved imaging of voltage activity of mouse hippocampus neurons cultured in a dish. They ran their sensor head-to-head against an industry standard scientific CMOS image sensor chip.
In the first set of experiments, the team sought to image the fast dynamics of neural voltage. On the conventional CMOS chip, each pixel had a zippy 1.25 millisecond exposure time. On the pixelwise sensor each pixel in neighboring groups of four stayed on for 5 ms, but their start times were staggered so that each one turned on and off 1.25 seconds later than the next. In the study, the team shows that each pixel, because it was on longer, gathered more light, but because each one was capturing a new view every 1.25 ms, it was equivalent to simply having a fast temporal resolution. The result was a doubling of the signal-to-noise ratio for the pixelwise chip. This achieves high temporal resolution at a fraction of the sampling rate compared to conventional CMOS chips, Zhang says.
Moreover, the pixelwise chip detected neural spiking activities that the conventional sensor missed. And when the researchers compared the performance of each kind of sensor against the electrical readings made with a traditional patch clamp electrode, they found that the staggered pixelwise measurements better matched that of the patch clamp.
In the second set of experiments, the team sought to demonstrate that the pixelwise chip could capture both the fast dynamics and also the slower, more subtle “subthreshold” voltage variances neurons exhibit. To do so they varied the exposure durations of neighboring pixels in the pixelwise chip, ranging from 15.4 ms down to just 1.9 ms. In this way, fast pixels sampled every quick change (albeit faintly), while slower pixels integrated enough light over time to track even subtle slower fluctuations. By integrating the data from each pixel, the chip was indeed able to capture both fast spiking and slower subthreshold changes, the researchers reported.
The experiments with small clusters of neurons in a dish was only a proof of concept, Wilson says. His lab’s ultimate goal is to conduct brain-wide, real-time measurements of activity in distinct types of neurons in animals even as they are freely moving about and learning how to navigate mazes. The development of GEVIs and of image sensors like the pixelwise chip that can successfully take advantage of what they show is crucial to making that goal feasible.
“That’s the idea of everything we want to put together: large-scale voltage imaging of genetically tagged neurons in freely behaving animals,” Wilson says.
To achieve this, Zhang adds, “We are already working on the next iteration of chips with lower noise, higher pixel counts, time-resolution of multiple kHz, and small form factors for imaging in freely behaving animals.”
The research is advancing pixel by pixel.
In addition to Zhang, Wilson, and Boyden, the paper’s other authors are Jonathan Newman, Zeguan Wang, Yong Qian, Pedro Feliciano-Ramos, Wei Guo, Takato Honda, Zhe Sage Chen, Changyang Linghu, Ralph-Etienne Cummings, and Eric Fossum.
The Picower Institute, The JPB Foundation, the Alana Foundation, The Louis B. Thalheimer Fund for Translational Research, the National Institutes of Health, HHMI, Lisa Yang, and John Doerr provided support for the research.
PEARL Delivers On "Go!"
PEARL's latest release "Go!" is a dreamy, easy-listening track that will make you feel like you're wandering in the woods on a misty day. The song, which is a part of the upcoming EP by the singer-songwriter, draws strongly from the styles of Sylvan Esso, BANKS, and London Grammar.
[embed]https://open.spotify.com/track/4R47C6yEQZhswA0LSDDSvH[/embed]
PEARL's vocal performance on "Go!" blends a unique combination of delicacy and strength. Her cadence has a lightness to it that nearly seems like a whisper and is reminiscent of early 2000s shoegaze music. Despite the song’s airy atmosphere, there's a lyrical depth and emotive quality to the words. Each phrase carries a personal weight and genuine emotion, enveloped in a blanket of dreamy synths and sparkling guitars. The chorus builds with an intensifying energy that uplifts and carries the listener away.
According to PEARL, "Go!" was written on a rainy day while still snuggled up in bed, fresh off a restorative walk through the forest. This inspiration is felt throughout the track, with its lyrics steeped in the natural world. The general feel of the single is about embracing the outdoors, and finding comfort in people rather than places.
"Go!" is a beautifully crafted piece of music, with an introspective and poetic sound that PEARL effortlessly delivers. It's a tune that will make you desire for a leisurely stroll in the woods and the freedom of the unknown. The track is a fantastic teaser for PEARL's upcoming EP, and fans can expect more of this beautifully emotive sound from this promising artist. Produced by Matt Ingram and co-written with Matt Ingram and David Boyden.
Follow PEARL on Facebook, Instagram and Website.
The cast for the Sydney Harbor non replica production of Phantom (directed by Simon Philips, different than the Restaged Tour) has been announced.
CHRISTINE DAAE Georgina Hopson
THE PHANTOM Joshua Robson
RAOUL, VICOMTE DE CHAGNY Callum Francis
CARLOTTA GUIDICELLI Naomi Johns
MONSIEUR FIRMIN Michael Cormick
MONSIEUR ANDRÉ Martin Crewes
MADAME GIRY Maree Johnson
UBALDO PIANGI Paul Tabone
MEG GIRY Kelsi Boyden
Ensemble: Lachlan O’Brien, Tod Strike, Lachlan O’Brien, Raphael Wong, Daniel Macey, Matt Heyward, Elliot Baker, Johanna Allen, Sarah Bakker, Benjamin Clark, Jack Connor-Rowan, Andrew Coshan, Emma Dawson, Sarah Dimas, Pedro Donoso, David Duketis,Jack Evans, Trina Farrelly, Keane Fletcher, Lewis Francis, Allie Graham, Giselle Graham, Caitie Hawkins, Tianna Koolloos, Elisha Zion Lee, Michaela Leisk, Josephine Lonergan, Imogen-Faith Malfitano, Douglas McRae, Sarah Murr, Annabelle Rosewarne, Amelia Sanzo, Megan Schoenmaker, Andy Seymour, Bree Stephens, Maddison Toomey, and Georgia Wilkinson
Assignment: The Copy
Readings: In praise of Copying by Michael Boon
To Do: analyse the synonyms for COPY
Engage with the materiality of an object in the chau chak museum. The way the material adds meaning to the object, the medium, the way its born out of history. Appropriation. Reinvent the appearance through an object, it can be ironically represented. Sometimes an echo or copy becomes an illegible blur that becomes an original. Pull apart the original, re-arrange elements
Plato’s philosophy: Our reality is an illusion
Vibratory copy (physical), reproductive (biological) and imitation (social).
Examples of art works that copy:
-Lisa Reihana’s In Pursuit of Venus
-Victor Vasendy Catch (copy with a variation)
-Emma White’s powerboard
-Joseph Sima’s Double Landscape
-Ingres’ Odalisque in Grisaille>Manet’s Olympia (changed the gaze of the nude woman out to viewer)> Yasumasa Morimura Portrait (adds ethnicity, more facial features of the maid)
-Duchamp’s Fountain: urinal - changed the context
-Meret Oppenheimer ‘Object’, cermaics covered in fur (transformed)
-Chojiro’s Chawan Raku Tea bowl>Contemporary Tea bowl. A copy of the idea
**Sarah Lucas’ angel made of cigarettes.
**Christopher Madden: diff angled mirrors, images of hands meeting at a centre point, the thumbs seem like a claw/crustacean. Makes us think about it- a reflection is a copy. MIRROR. You can take the original image of something and distort it to change the way the audience views it.
**Matt Stone’s Fruit Sculptures- cut up and changed AND Adam Hillman makes us read the oranges as a geometric abstract form. He cuts them and rearranges them. We always define things back to its normal state, but transforming it shifts our perceptions and our job as artists is to transform what the viewer is seeing so they can think in new ways and act in new ways.
**Green living design: pegs of wood (alone they are simple but a swarm makes it interesting). Singular VS multiple (vivaterra.com)
-Unknown: phonebooks, replicated, completely transformed into a sculpture- connected and paint spilled over.
**Tony Feher’s bottles of blue liquid, the level of liquid changes. The bottles are copied. Feher’s ‘it didn’t turn out the way I expected it to.’ he takes a small object like an oyster shell and multiplies and rearranges it.
-Ron Mueck’s Boy: take a small object> enlarge it to emphasise his fragility. Expansion of objects emphasise their qualities. It can be empowering.
-Blanche Tilden’s Parallel: neclace that repeats its process and form.
**Annie Boyden Varnot: repetition of technique as a copy, works well for pieces about endurance or meditation, virtuosity (you gain command of the piece)
-Walter McConnell A theory of Everything
-William Cobbing’s The Kiss Vs Constatin Brancusi’s The Kiss
-Ai Wei Wei Sunflower- millions of ceramic sunflower seeds- the unimaginable number of copies, the swarm, there’s a tension between the individual form and the multiplicity of the form
-Jake and Dinos Chapman’s The Sum of All Evil Vs Hieronymus Bosch’s The Last Judgement (he involves McDonalds and Natzi stickers). 2D > transformed to 3D heightens visceral and emotional experience.
-Traditional Chinese Blue and White Ware Vs Gerry Wedd’s ceramic blue and white thong. Traditional technique is used to talk about colonialism, empire, power. Similarly Lei Xue’s bent cans in blue and white traditional Chinese ceramic
-Yee Sookyoung Kintsugi (broken and given new life with gold) Vs Traditional Moon Jar (complete unbroken traditional). IDEA> recreate an object (a copy) in ceramic, break it and give it a new meaning.
**Penny Byrne’s Guantanomo Bay Souvenirs recreated and given chains Vs popular figurines
**Rui Sasaki’s Liquid sunshine/ I am a pluviophile- replication of process and gesture. It uses motion sensors, gathering of viewers in a gallery space.
-Deborah Czeresko’s Meat Chandelier> copy as a fake
-William Delvoye’s truck: taken gothic architecture and transformed it into a contemporary practise to create a truck.
L’acteur Sam Ayers est né le 29/12/1957 à Youngstown (Ohio, USA) sous le nom civil Samuel Bielich III. Il a également utilisé le pseudo Sam Ayres dans sa carrière professionnelle.
Compte Instagram -
Enfance :
Il a grandi à Merrimack (New Hamphire, USA). A son lycée, il excelle en tant que quarterback. Puis il rejoint l'Université de l'Etat de Memphis. C'est là qu'il découvrira sa vocation, tout en jonglant avec petits boulots, études et baseball. Enfin, il s'installe à New-York.
Famille :
1998 : Mariage avec l'actrice Robin Trapp
1999 : Naissance de sa fille Alexis Ann.
Carrière :
Il choisi de prendre le nom de sa mère (Ayers) pour se faire un nom dans le métier. Il commence par apparaître dans des séries-TV alors qu'il est encore étudiant. A New-York, il devient acteur professionnel sous son pseudonyme Ayers, avant de partir en Floride, recruté par les Studios Universal pour le Wild West Stunt Show. En parallèle, il apparait toujours à la TV, au cinéma et au théâtre.
En 1995, il déménage à Los Angeles, et devient aussi cascadeur pour les séries TV. Et en 1996, il devient le nettoyeur Sam pour la série Le Caméléon.
Sa filmographie :
2015 :
- Roanoke search for the last colony (TV) --- Boyden Sparkes
- Newark Ave. --- Harry Queen
2012 :
- Wedding Day --- Even Mason
- Bigfoot County --- Travis
- General Education --- Samson
2008 :
- An American standard --- Mr Packard
- Exavt bus fare --- le conducteur du bus
- Caught in the action (TV) --- Boss / Johnny Raga
2001 :
- Le Caméléon : Island of the haunted (TV) --- Sam, le nettoyeur (non crédité)
- Not another tee movie --- Paramedi (non crédité)
- Angels don't sleep here --- David Roy
1998 - The Lion's Den --- Cop n°1
1997 - The Reel --- un messager
1995 - Bad Boys --- un détective
1990 - Quick Change --- Commandant de l'ESU
Séries-TV :
2021 - The ‘Cue --- Ep. 1.01
2016 - Powers --- Riotor (Ep. 2.02)
2013 :
- Conan --- Notre Dame Coach
- Raising Hope --- Matt
2012 :
- Grey's Anatomy --- un détective (Ep. 8.20)
- Happy Endings --- officier de police (Ep. 2.13)
2011 :
- Castle --- le barman (Ep. 4.04)
- Los Angeles : Police Judiciaire --- Eddie Russ
- Esprits Criminels: Comportement Suspect --- Detective Sykes (Ep. 1.05)
2010 :
- Happy Endings --- un officier de police (Ep. 2.13)
- Justified --- Jimmy, le Bartender
2009 :
- Meteor : Path to destruction --- Capitaine Finnegan
- Monk --- le portier (Ep. 7.15)
- Terminator : the Sarah Connor Chonicles --- travailleur n°3 (non crédité)
- Saving Grace --- Morton Yearly (non crédité)
2008 :
- The young and the restless --- un garde
- Tout le monde déteste Chris --- auctioneer
- Des jours et des Vies --- George (10 782, 10 789 et 10 809)
2007 :
- Urgences --- Mike Murphy (Ep. 14.09)
- Dirty Sexy Money --- Raymond Pulaski
2006 - Dr [H]ouse --- homme (épisode 3*05)
2005 :
- Numb3rs -- FTRA homme attaqué / vendeur News (2007) / CAL SCI vigile (2009) (épisode 1*06) (épisode 4*03)
- Medical Investigation --- assistant médical
2002 :
- Boomtown --- un policier (non crédité)
- She Spies --- garde Big-Butt
- 24 heures chrono --- Agent Jeff Breeher (Ep. 1.15 et 1.16) / officier du NYPD (Ep. 8*01)
2001 :
- Alias --- Anton (2005) / garde armé n°2 (2004) / Homme au téléphone (non crédité)
- V.I.P. --- Stanley / Shady Guy
- Angel --- Démon Tough Guy (épisode 3*03)
2000 :
- Malibu, CA --- un garde
- Martial Law --- garde de Strode
1996 - Le Caméléon --- Sam, le nettoyeur (jusqu'en 2000)
1995 - SeaQuest DSV --- un garde
1994 :
- Thunder in paradise --- un soldat
- Fortune Hunter --- Nigel
1992 - Superboy --- Andrew
sorry if this gets way too detailed lol but i love all ur book recs nd im looking to beef up my tbr pile so im asking u :) what r some upcoming/recently released sff books u look forward to reading? they can also be ongoing series idc im just looking for stuff thats recent
its no problem at all! i love talking about books and i really enjoy hunting through my own unnecessarily large tbr to answer asks such as these :] so lets go:
*note: italics are series
1. the poppy war - r. f. kuang (final book nov)
2. the midnight library - matt haig (oct)
3. a girl made of air - nydia hetherington (sep)
4. the once and future witches - alix e. harrow (oct)
5. the bone shard daughter - andrea stewart (first book sep)
6. house of dragons - jessica cluess (first book may)
7. dark shores - danielle l. jensen (third book 2021)
8. stealing thunder - alina boyden (first book may)
9. granted - kendra thomas (first book may)
10. incendiary - zoraida córdova (first book apr)
11. foundryside - robert jackson bennett (second book apr)
12. race the sands - sarah beth durst (apr)
13. so this is love - elizabeth lim (apr)
14. black stone heart - michael r. fletcher (first book apr)
15. paternus: rise of gods - dyrk ashton (final book jun)
bonus: first books of really good fantasy series that have already finished: the shadow of the wind - carlos ruiz zafón, the queen of blood - sarah beth durst, strange the dreamer - laini taylor, the crimson queen - alec hutson, the ninth rain - jen williams
1. Become a Homeowner
2. Get a new mattress
3. Become a first aid instructor
4. Become a CPR instructor
5. Get a position in Labor and Delivery or Postpartum
6. Write a legal will and get it notarized
7. Complete the Neonatal Resuscitation Program
8. Obtain a regular drivers license
9. Write a legal advance directive and get it notarized
10. Get a passport
11. Complete ACLS certification
12. Pay off provincial student loan completely
13. Get a new couch
14. Get a tattoo
15. Get a British Bulldog (Winston)
16. Crochet a viking hat
17.Crochet comfy boot slippers
18. Make melted crayon guitar art (JK)
19. Sew a teddy bear
20. Sew a dress
21. Make a quilt
22. Start a scrapbook
23. Make cold process soap
24. Complete Grad Photobook
25. Complete wedding scrapbook
26. Crochet Christmas stockings
27. Make a Wonder Woman apron (JH)
28. Crochet a hooded owl blanket
29. Crochet a coaster set
30. Fold 1000 origami stars
31. Crochet a Hogwarts baby blanket
32. Crochet a black cat blanket with hood (KS)
33. Fold 1000 origami butterflies
34. Make a mobile of 1000 origami cranes
35. Design my own deck of cards
36. Complete wedding photobook
37. Make homemade lip balm
38. Make a geode bath bomb
39. Make carved wood or burned wood personalized wine box (ME)
40. Swap customized keychains with Daniel
41. Sew matching aprons for me & Daniel
42. Make a cross stitch quilt (CB)
43. Make a Lion King cross stitch (JK)
44. Make wine glass winter scene candle holders
45. Make a Little Mermaid Apron (JM)
46. Make a carved or burned wood "It's Always Tea Time" Mad Hatter Tea Box
47. Crochet a Spiderman blanket (LS)
48. Crochet a Legend of Zelda blanket (CW)
49. Make jazz guitar print art (SS)
50. Adopt an otter
51. Donate 5 items to the Ronald McDonald house
52. Participate in a charity walk/run
53. Donate 5 items to the Terra Centre
54. Run a Hogwarts Running Club race
55. Adopt a polar bear
56. Make my own cookbook
57. Make all the recipes from The Superfun Times Vegan Holiday Cookbook
58. Make crepes
59. Make "Curious Confection" Disney drink
60. Make "Siren's Song" Disney drink
61. Make "Glass Slipper" Disney drink
62. Make "Belle of the Ball" Disney drink
63. Make all the recipes from the I Quit Sugar cookbook
64. Make homemade fried chicken
65. Make caramel apple jello shots
66. Make the Grey Stuff from The Beauty and the Beast
67. Make homemade California rolls
68. Make all the recipes in the Unofficial Harry Potter Cookbook
69. Make candy apples
70. Bake a baked Alaska
71. Cook lobster
72. Make tiramisu
73. Bake Boston cream pie
74. Make homemade basil pesto
75. Roast pumpkin seeds
76. Finish my red recipe book
77. Bake lemony blueberry cheesecake bars
78. Make Sims Bouillabaisse (in real life)
79. Make Sims Goopy Carbonara (in real life)
80. Make Mexican tostadas
81. Make 365 new recipes
82. Cook every single recipe in a cook book
83. Make all recipes from the Swap & Drop Diet Cookbook
84. Do a chopped competition with Daniel
85. Make fruit sushi
86. Make "Sleep Cycle" Disney drink
87. Make "False King" Disney drink
88. Make "Ohana Colada" Disney drink
89. Make all recipes from the Cooking Light Global Kitchen cookbook
90. Make Sims Porcini Risotto (in real life)
91. Have a meal at Bistro Praha
92. Go to Dinner Theatre
93. Eat at Cafe Bicyclette
94. Have lunch at Ampersand 27
95. Eat at Cafe Linnea
96. Eat at Earnest's at NAIT
97. Go on a gelato date
98. Have dessert from the Italian Bakery Edmonton
99. Eat at the 3 Bananas Cafe
100. Eat at Dorinku
101. Try a Po'Boy
102. Eat deep fried ice cream
103. Eat at Have Mercy
104. Have lunch at the Harvest Room at Hotel MacDonald
105. Have dinner on the Edmonton Queen Riverboat
106. Try La Poutine
107. Have breakfast at Under the High Wheel
108. Have dessert at Block 1912
109. Eat at Uccellino
110. Go out for hungover breakfast the morning after a party with friends
111. Read "The Devil in the White City" by Erik Lawson
112. Read "Water for Elephants" by Sara Gruen and watch the movie
113. Read "Blood, Sweat, and Fear" by Eva Lazarus
114. Read "It" by Stephen King and watch the movie
115. Read "Labor Day" by Eleanor Henderson
116. Read "Three Day Road" by Joseph Boyden
117. Read "The Girl on the Train" by Paula Hawkins and watch the movie
118. Read "They Left Us Everything" by Plum Johnson
119. Read "The House Girl" by Tara Conklin
120. Read all 36 books from the Dear Canada series
121. Read "My Lovely Wife in the Psych Ward: A Memoir" by Mark Lukach
122. Read all 54 books from the fictional Magic Tree House Series
123. Read “13 Reasons Why” by Jay Asher and watch the series
124. Read “Dolores Claiborne” by Stephen King
125. Read “We Need To Talk About Kevin” by Lionel Shriver
126. Read all 51 books from the Adventures of the Bailey School Kids series
127. Read “Stiff: The Curious Lives of Human Cadavers” by Mary Roach
128. Read “The Shift: One Nurse, Twelve Hours, Four Patients Lives” by Theresa Brown
129. Read “Working Stiff: by Judy Melinek and TJ Mitchell
130. Read “Every Patient Tells a Story” by Lisa Sanders
131. Read “The Night Shift” by Dr Brian Goldman
132. Read “Wenjack” by Joseph Boyden
133. Read “The Man Who Mistook His Wife for a Hat” by Oliver Sacks
134. Read “Weird Edmonton” by Mark Kozub
135. Read “11/22/63” by Stephen King
136. Re-read Lemony Snickets A Series of Unfortunate Events series
137. Read all 20 Royal Diaries books
138. Read all the books from the Dear America series
139. Read “End of Watch” by Stephen King
140. Read “I, Ripper” by Stephen Hunter
141. Read “Happyface” by Stephen Edmond
142. Read “The Absolutely True Diary of a Part-Time Indian” by Sherman Alexie
143. Read “The Mighty Miss Malone” by Curtis
144. Read “In The Unlikely Event” by Judy Blume
145. Read “Church of Marvels” by Leslie Parry
146. Read “My Secret Sister” by Helen Edwards
147. Read “The Guernsey Literary and Potato Peel Pie Society” by Annie Barrows
148. Read “The Book of Negroes” by Lawrence Hill & watch the movie
149. Read “The Real Doctor Will See You Shortly” by Matt McCarthy
150. Read “Nerd Do Well” by Simon Pegg
151. Read “Wild” by Cheryl Strayd and watch the movie
152. Read “I Am Malala” by Malala Yousafzai
153. Read “The Book Thief��� by Markus Zusak and watch the movie
154. Read “Welcome to Nightvale” by Joseph Fink and listen to all podcasts
155. Read “1984” by George Orwell
156. Read “Nightmares!” by Jason Segal and Kirsten Miller
157. Read “The Bazaar of Bad Dreams” by Stephen King
158. Read “Finders Keepers” by Stephen King
159. Read the Little Old Lady Series
160. Read “Mr Mercedes” by Stephen King
161. Read “Left Neglected” by Lisa Genova
162. Read “Doctor Sleep” by Stephen King
163. Read “Bringing Adam Home” by Les Standiford
164. Read “Carry On” by Rainbow Rowell
165. Read “Being Mortal” by Atul Gawande
166. Read “A Spy Amongst Friends” by Ben Macintyre
167. Read “Still Alice” by Lisa Genova and watch the movie
168. Read “Five Days at Memorial” by Sheri Fink
169. Read “Canada” by Mike Myers
170. Read “Behind the Beautiful Forevers” by Katherine Boo
171. Read “Quiet: The Power of Introverts” by Susan Cain
172. Read “The Haunting of Sunshine Girl” by Paige Mckenzie
173. Read “Dirty Jobs” and “Second Hand Souls” by Christopher Moore
174. Read “My Sister’s Keeper” and watch the movie
175. Read “Between the Devil and the Deep Blue Sea” by April Genevive Tucholke
176. Read “Four Past Midnight” by Stephen King
177. Read “Hope: A Memoir of Survival in Cleveland” by Amanda Berry and Gina DeJesus
178. Read “Anya’s Ghost” by Vera Brosgol
179. Read “Trauma”
180. Read “Fantastic Beasts and Where to Find Them” by JK Rowling and watch the movie
181. Read “This is That Travel Guide to Canada”
182. Read “The Trouble with Goats and Sheep” by Joanne Cannor
183. Read “Tough Shit” by Kevin Smith
184. Read “Tales of Beedle the Bard” by JK Rowling
185. Read “The Trouble with Alice” by Olivia Glazebrook
186. Read “The 100 Mile Diet: A Year of Local Eating” by Alisa Smith & JB MacKinnon
187. Read “At Home in Old Strathcona” by Gwen McGregor Molnar
188. Read “The Tumbling Turner Sisters” by J. Fay
189. Read “The Dangerous Animals Club” by S. Tobolowsky
190. Read “The Book of Speculation” by E. Swyler
191. Read “The Nurses” by Alexandra Robbins
192. Read “Shine Shine Shine” by Lydia Netzer
193. Read “Life of Pi” by Yann Martel and watch the movie
194. Read the EC Wells series
195. Read “Scrappy Little Nobody” by Anna Kendrick
196. Read “The First Phone Call From Heaven” by Mitch Albom
197. Read “Hope’s Boy” by Andrew Bridge
198. Read “The First Fifteen Lives of Harry August” by Claire North
199. Read “The House At the End of Hope Street” by Menna Van Praag
200. Read “Home” by Harlan Coben
201. Tour the Saskatchewan Science Center
202. Visit the Hiroshima Peace Memorial Park
203. Visit the Atomic Bomb Dome in Japan
204. Visit the Dead Sea of Saskatchewan (Little Manitou)
205. Tour the Royal Canadian Mint
206. Visit the Eskimo Museum in Churchill
207. Visit Prime Berth Fishing Museum in Twillingate
208. Go to the Barbie Expo in Montreal
209. Visit the Acadian Historical Village in Caraquet
210. Visit the Tokyo National Museum
211. Visit the Owl Café in Akhabara
212. Go to the Tokyo Studio Ghibli Museum
213. Visit the Manitoba Museum in Winnipeg
214. Visit the Hiroshima Peace Memorial Museum
215. See a Sunset Retreat Ceremony at the RCMP Heritage Center in Regina
216. Visit the Canadian Museum of History in Quebec
217. See Head-Smash-In Buffalo Jump in Fort McLeod
218. Visit the Shinjuku Goen National Garden in Japan
219. See Niagra Falls
220. Visit the Gopher Hole Museum in Torrington
221. Visit Ripley’s Aquarium of Canada in Toronto
222. Visit the Royal Ontario Museum
223. Do the Underground Tour at Bell Island’s Mine Museum
224. Visit the Samurai Museum in Japan
225. Visit Leo Mol Sculpture Garden in Winnipeg
226. See a show at the Regina Globe Theater
227. Visit the Canadian Museum of Immigration at Pier 21 in Halifax
228. Visit the Canadian Museum for Human Rights
229. Visit the Canadian Museum of Nature in Ottawa
230. Visit the Fort George National Historic Site of Canada at Niagara-on-the-Lake
231. Go to Science North in Sudbury
232. Take a photo with the Hachiko statue in Tokyo
233. Go to the national Museum of Nature and Science in Tokyo
234. Visit the Amsterdam Cheese Museum
235. Visit the Nagasaki Atomic Bomb Museum in Japan
236. Catch all Fourth Gen Pokemon Go Pokemon
237. Catch all Second Gen Pokemon Go Pokemon
238. Catch all Third Gen Pokemon Go Pokemon
239. Successfully do winged eyeliner
240. Have a yard sale
241. Grow Lavender
242. Go scuba diving
243. Go rock climbing
244. Go through the Edmonton Corn Maze
245. Attend a Superstore cooking class
246. Bowl a 100+ game
247. Catch a fish
248. Dye my hair blonde
249. Go ice fishing
250. Tour Candy Cane Lane
251. Find 5 Geocaches
252. Go paintballing
253. See the stars at an observatory
254. Go on a double date
255. Can something with mom
256. Play through Fran Bow
257. Visit Dr Woods House Museum
258. Grow parsley
259. Go on a bike ride around Telford Lake
260. Solve a Rubik’s cube
261. Grow oregano
262. Pick berries from a berry farm
263. Host a holiday dinner for family
264. Plant a Tree
265. Skip rocks with Daniel
266. Do yoga outside at sunrise
267. Go horseback riding
268. Go to the Deep Freeze Festival
269. Learn how to edit photographs
270. Get a hot stone massage
271. Pose for a nude painting
272. Complete a 642 Things to Draw Journal
273. Be in a boudoir photoshoot
274. Get ears pierced again
275. Learn Under the Sea on xylophone
276. Learn calligraphy
277. Go roller blading
278. See a moose in the wild
279. Learn Over the Rainbow on ukulele
280. Pick a pumpkin at Upick
281. Build a fire
282. Complete Wreck this Journal
283. Build a sandcastle
284. Build a snowman
285. Complete a 1000 Piece Puzzle
286. Get all Pokemon Go medals
287. Try a sensory deprivation chamber
288. Sew all badges on my camp blanket
289. Sign a petition
290. Camp at Elk Island Provincial Park
291. Tour the Alberta Legislature Building
292. Go apple picking
293. Go hostelling in Nordegg
294. Photograph a robin
295. Photograph a blue jay
296. Go to the ballet
297. Go to a hot spring in winter
298. Plant a Fairy Garden
299. Fully decorate apartment for Halloween
300. Go to another TWOS Dark Matters Night
301. Go to the Muttart Conservatory
302. Play through Beyond Two Souls
303. Watch an outdoor movie
304. Go to the John Walters museum
305. Body paint with Daniel
306. Take a class at the Greenland Garden Center
307. Go Canoeing
308. Play a game of chess
309. Play laser tag
310. Have a girls night
311. Go to a drop in class at the Art Gallery of Alberta
312. Send out Christmas cards
313. Reach level 40 of Pokemon Go
314. Visit the Reynolds-Alberta Museum
315. Go on a Canmore Cave Tour
316. Get a couples massage
317. Have a game night at Table Top Café
318. See a live show at the Roxy
319. Shoot a Gun
320. Juggle 3 balls
321. Pick a door lock
322. See a Rapidfire Theater show
323. Dance on my balcony with Daniel as it gently rains
324. Go to a driving range
325. Write a love letter
326. Go to a U of A varsity game
327. Go to the new Royal Alberta museum
328. Go to a hockey game
329. Go to a football game
330. See the Nutcracker Ballet
331. Play at Breakout Edmonton
332. Complete a coloring book
333. Go peddle boating
334. Visit the Alberta Aviation Museum
335. Visit the Jurassic Forest
336. Play slots at a casino
337. Go skating
338. Try to escape The Cabin at Escape City
339. Complete my Sims challenge
340. Get a BBQ and have a BBQ with friends
341. Tube down the Pembina river
342. Get a facial
343. Take a class at Purdy’s Chocolates
344. Do a "Disney Love" photoshoot with Daniel
345. Grow a carrot plant
346. Fit size 6 pants
347. Do 100 consecutive push ups
348. Hold Kala Bhairavasana (yoga)
349. Hold Sirsasana (Yoga)
350. Do 100 Consecutive Sit Ups
351. Reach goal weight of 120 lb
352. Walk 20 000 steps for 3 consecutive days
353. Attend a drop in spin class
354. Buy and eat only local food (produce, meat, etc) for 30 consecutive days
355. Try hot yoga
356. Hold Crow Pose (Yoga)
357. Complete 12 months to a healthier you challenge
358. See a movie at Princess Theatre
359. Go to the Edmonton Film Fest
360. See a movie and have dinner at the VIP theatre
361. Watch Rotten Tomatoes Top 100 Musical and Art Movies
362. Watch the Rotten Tomatoes Top 200 Movies of 2018
363. Watch Rotten Tomatoes Top 100 movies of 2017
364. Watch Rotten Tomatoes Top 100 Documentary films
365. Watch Rotten Tomatoes Top 100 Comedy Movies
My two favourite novelists are Leo Tolstoy and Haruki Murakami. One of them is Russian and the other is Japanese. As a proud Canadian, I’m curious what makes Canadian literature unique. I’m also curious what you can learn about the essence of being Canadian by digging into the great pieces of Canadian literature. I found a list compiled by CBC called 100 Novels that make you proud to be Canadian. As I go through these books I will try to answer those questions.
Here is the list:
419 by Will Ferguson
A Complicated Kindness by Miriam Toews
A Fine Balance by Rohinton Mistry
A Season in the Life of Emmanuel by Marie-Claire Blais, trans. Derek Coltman
A Sunday at the Pool in Kigali by Gil Courtemanche, trans. Patricia Claxton
A Tale for the Time Being by Ruth Ozeki
Alias Grace by Margaret Atwood
Annabel by Kathleen Winter
Away by Jane Urquhart
Barney's Version by Mordecai Richler
Bear by Marian Engel
Beautiful Losers by Leonard Cohen
Bone and Bread by Saleema Nawaz
Brown Girl in the Ring by Nalo Hopkinson
By Grand Central Station I Sat Down and Wept by Elizabeth Smart
Cereus Blooms at Night by Shani Mootoo
Certainty by Madeleine Thien
Come, Thou Tortoise by Jessica Grant
Creation by Katherine Govier
Crow Lake by Mary Lawson
De Niro's Game by Rawi Hage
Elizabeth and After by Matt Cohen
Essex County by Jeff Lemire
Fall on Your Knees by Ann-Marie MacDonald
February by Lisa Moore
Fifth Business by Robertson Davies
Forty Words for Sorrow by Giles Blunt
Fruit by Brian Francis
Fugitive Pieces by Anne Michaels
Funny Boy by Shyam Selvadurai
Galore by Michael Crummey
Generation X by Douglas Coupland
George & Rue by George Elliott Clarke
Green Grass, Running Water by Thomas King
Half-Blood Blues by Esi Edugyan
Holding Still for as Long as Possible by Zoe Whittall
How to Make Love to a Negro without Getting Tired by Dany Laferriere, trans. David Homel
In the Skin of a Lion by Michael Ondaatje
Indian Horse by Richard Wagamese
Kamouraska by Anne Hébert, trans. Norman Shapiro
Kiss of the Fur Queen by Tomson Highway
Kit's Law by Donna Morrissey
Late Nights on Air by Elizabeth Hay
Life of Pi by Yann Martel
Lives of the Saints by Nino Ricci
Lost Girls by Andrew Pyper
Lullabies for Little Criminals by Heather O'Neill
Mercy Among the Children by David Adams Richards
Monkey Beach by Eden Robinson
Neuromancer by William Gibson
No Great Mischief by Alistair MacLeod
No Time for Goodbye by Linwood Barclay
Obasan by Joy Kogawa
Room by Emma Donoghue
Ru by Kim Thuy, trans. by Sheila Fischman
Scott Pilgrim's Precious Little Life by Bryan Lee O'Malley
Secret Daughter by Shilpi Somaya Gowda
Six Metres of Pavement by Farzana Doctor
Skim by Mariko & Jillian Tamaki
Spin by Robert Charles Wilson
Still Life by Louise Penny
Sunshine Sketches of a Little Town by Stephen Leacock
Swamp Angel by Ethel Wilson
Sweetness in the Belly by Camilla Gibb
The Amazing Absorbing Boy by Rabindranath Maharaj
What We All Long For by Dionne Brand
The Antagonist by Lynn Coady
The Best Laid Plans by Terry Fallis
The Birth House by Ami McKay
The Bishop's Man by Linden MacIntyre
The Book of Negroes by Lawrence Hill
The Book of Secrets by M.G. Vassanji
The Cellist of Sarajevo by Steven Galloway
The Colony of Unrequited Dreams by Wayne Johnston
The Cure for Death by Lightning by Gail Anderson-Dargatz
The Double Hook by Sheila Watson
The Englishman's Boy by Guy Vanderhaeghe
The Golden Mean by Annabel Lyon
The Handmaid's Tale by Margaret Atwood
The Hero's Walk by Anita Rau Badami
The Jade Peony by Wayson Choy
The Lesser Blessed by Richard Van Camp
The Little Girl Who Was Too Fond of Matches by Gaétan Soucy, trans. Sheila Fischman