text:
Simon & Garfunkel - Parsley, Sage, Rosemary and Thyme MFSL LP 180 Gram Audiophile Vinyl, limited/numbered
Mobile Fidelity Sound Lab
Mastered on Mobile Fidelity's world-renowned mastering system and pressed at RTI, this 180g vinyl LP presents the famed duo's landmark third record in superlative sound. Reflecting the perfectionist-minded nature of Bob Johnston's meticulous production and the group's painstaking arrangements, Mobile Fidelity's reissue brings to light textures, nuances, details, and microdynamics obscured on prior editions. The hyper-realistic results give you a seat at the recording studio.
The liner notes pioneering writer Ralph J. Gleason penned for the back cover of Simon and Garfunkel's Parsley, Sage, Rosemary and Thyme ring as true now as they did upon the record's original release in 1966. He mused: ''Today's popular music is in good shape indeed-at least the portion of it represented by this album. It has strength and it has beauty, it has lyricism, meaning, and, above all, that quality of broad appeal which still retains form. And its music speaks for more than the moment. The songs in this album are songs for all time.'' Indeed, they are, and they can now be experienced in the highest fidelity they've ever enjoyed. Reflecting the perfectionist-minded nature of Bob Johnston's meticulous production and the group's painstaking arrangements, Mobile Fidelity's reissues bring to light textures, nuances, details, and microdynamics obscured on prior editions. Harmonies crest and seemingly float on clouds. Acoustic passages blossom with lifelike structure. The intent of deliberate euphonic variations is made clear.
Such punctiliousness is exactly what the duo pursued during their four months in the studio, considered then by record-company executives to be borderline excessive. But as these editions attest like never before, there's no arguing with the results of a benchmark Rolling Stone named the 202nd Greatest Album of All Time.
· Songs for All Time: Simon and Garfunkel's Kaleidoscopic
Parsley, Sage, Rosemary and Thyme Includes
''Scarborough Fair/Canticle,'' ''Homeward Bound,'' and
''The 59th Street Bridge Song''
· Mastered on Mobile Fidelity's World-Renowned
Mastering System: 180g Vinyl LP and Hybrid SACD Bring
to Light Meticulous Production, Harmonies, and Tones in
Lifelike Clarity
· 1966 Benchmark Named the 202nd Greatest Album by
Rolling Stone: Simultaneously Beautiful and Evocative,
Pristine and Natural, Serious and Joyful, Pertinent and
1. Scarborough Fair/Canticle
3. Cloudy
4. Homeward Bound
5. The Big Bright Green Pleasure
6. The 59th Street Bridge Song
(Feelin' Groovy)
7. The Dangling Conversation
8. Flowers Never Bend in the Rainfall
9. A Simple Desultory Philippic (Or
How I Was Robert McNamara'd
Into Position)
10. For Emily, Whenever I May Find
11. A Poem on the Underground Wall
12. 7 O'Clock News/Silent Night
NO EXPORT TO JAPAN
Back to Vinyl Records


text:
The John Troupes Three-Decker is a historic triple decker house in Worcester, Massachusetts.  When it was listed on the National Register of Historic Places in 1990, this 1918 building was noted for its well preserved Colonial Revival details, included bracketed cornices, wide bands of shingling between clapboarded sections, and porches supported by Doric columns.  Subsequent residing and alteration of the exterior has removed or covered over most of these features (see photo).

See also
National Register of Historic Places listings in southwestern Worcester, Massachusetts
National Register of Historic Places listings in Worcester County, Massachusetts

References

Apartment buildings on the National Register of Historic Places in Massachusetts
Colonial Revival architecture in Massachusetts
Houses completed in 1918
Apartment buildings in Worcester, Massachusetts
Triple-decker apartment houses
National Register of Historic Places in Worcester, Massachusetts

redpajama_set_name: RedPajamaWikipedia


text:
Air Lease Corporation Announces Full Exercise of Over-Allotment Option in IPO
LOS ANGELES (April 19, 2011) — Air Lease Corporation (NYSE: AL) today announced that the underwriters for the Company's initial public offering have exercised in full their over-allotment option to purchase an additional 4,542,450 shares of the Company's Class A Common Stock. After giving effect to the completion of the initial public offering and the full exercise of the over-allotment option, the Company will have sold a total of approximately 34.8 million shares of its Class A Common Stock, raising approximately $868 million in net proceeds after deducting underwriting discounts and commissions and estimated offering expenses payable by the Company.
J.P. Morgan Securities LLC, Credit Suisse Securities (USA) LLC, Barclays Capital Inc., FBR Capital Markets & Co., RBC Capital Markets, LLC and Wells Fargo Securities, LLC are acting as joint book-running managers for the offering, with Macquarie Capital (USA) Inc., Scotia Capital (USA) Inc. and SG Americas Securities, LLC acting as co-managers.A registration statement relating to this offering has been declared effective by the Securities and Exchange Commission. This offering is being made solely by means of a written prospectus. A copy of the final prospectus relating to the offering may be obtained, when available, by contacting:• J.P. Morgan Securities LLC, Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717, or by telephone at 1-866-803-9204• Credit Suisse Securities (USA) LLC, Attention: Credit Suisse Prospectus Department, One Madison Avenue, New York, NY 10010, or by telephone at 1-800-221-1037
This press release shall not constitute an offer to sell or a solicitation of an offer to buy, nor shall there be any sale of, these securities in any state or jurisdiction in which such an offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
ContactsAir Lease Corporation
John PluegerPh: 310.553.0555

redpajama_set_name: RedPajamaCommonCrawl


text:
The Civil War in Fairfax County, Virginia
Home of Dr. William P. Gunnell and "Gray Ghost's Coup" of 1863
This two-story brick home in Fairfax was constructed in 1835 and is best known as the location of one of the most interesting captures of an officer in the Civil War. The home belonged to Dr. William Presley Gunnell but was being occupied by Union Brigadier General Edwin Stoughton and his men. While they slept on the night of March 8th-9th, 1863, later-Colonel John Singleton Mosby, known as the Gray Ghost of the Confederacy, led a contingent of twenty-nine soldiers silently through a gap in the Union lines and moved undetected into Fairfax. There they captured many Union officers, including General Stoughton, who woke to the site of Mosby next to his bed. Dr. Gunnell moved to Waco, Texas, after the war, and, in 1882, his Fairfax home was purchased by Zion Episcopal Church - now Truro Anglican Church - for use as a rectory. It remains an office building for the church today. The home was added to the National Register of Historic Places in 1987 as part of the City of Fairfax Historic District.
Colonel John S. Mosby
General Edwin Stoughton
The Dr. Gunnell House - now an administrative office for the adjacent church
Truro Anglican Church - located next to the Dr. Gunnell House
The Dr. William Presley Gunnell Home is a Southern Colonial-style house built around 1835. Dr. Gunnell owned it by 1860. He was born in Fairfax County around 1820 and was a graduate of the University of Pennsylvania. Initially impressed into service as a Union surgeon, he escaped and joined the Confederate army.
On the night of March 8th-9th, 1863, twenty-nine Confederate soldiers led by John Singleton Mosby made their way through Union lines to raid Fairfax. Although a small contingent of Union soldiers had been monitoring the perimeter around the town, there were no Confederate armies in the immediate area and the region was thought secure. Brigadier General Edwin Stoughton, who had set up his headquarters in the Dr. Gunnell House, had not assigned any of his men to guard the property overnight. It is also reported that the Union officers had been partying that evening. This made it possible for Mosby and his men to make their way through Union lines undetected; the entire contingent of Union soldiers was caught by surprise. Mosby, claiming to be from the 5th New York Cavalry, made his way into the Dr. Gunnell House and forced a staff officer to bring him to Stoughton's bedroom. Mosby slapped Stoughton on the back to wake him up. Several versions of the following conversation have been reported, even by Mosby himself. The most famous, written by Mosby in Belford's Monthly, is that he asked, "General, did you ever hear of Mosby?" Stoughton answered, "Yes, have you caught him?" Mosby responded, "No. I am Mosby - he has caught you."[6] Mosby included a different version in his memoirs: "[Stoughton] asked in an indignant tone what all this meant. I told him that he was a prisoner, and that he must get up quickly and dress. I then asked him if he had ever heard of 'Mosby', and he said he had. 'I am Mosby,' I said. 'Stuart's cavalry has possession of the Court House; be quick and dress.'"[5] Mosby not only captured Stoughton, but also two Union captains, thirty men, and fifty-eight horses, before he and his band returned to Confederate lines. Stoughton was disgraced; after he was released, he never commanded again and ultimately died in 1868 at age thirty. Abraham Lincoln was said to have remarked that, "he didn't mind the loss of the brigadier as much as the horses, for I can make a much better general in five minutes, but the horses cost one hundred and twenty-five dollars a piece."[4] Supposedly, Confederate spy and Fairfax resident Antonia Ford was involved in planning the raid - a Secret Service investigation resulted in her arrest. While Mosby himself later denied her connection, he may have done this for political reasons. She was held in a federal prison for several months, afterwards marrying Union Major Joseph Willard, the officer who had arrested her.
After the war, Dr. Gunnell eventually moved to Waco, Texas, where he continued practicing medicine until his death in 1875. His Fairfax home was bought by Zion Episicopal Church, now Truro Anglican Church, in 1882 for use as a rectory; it is still used as an office by the church today. The house was added to the National Register of Historic Places as part of the City of Fairfax Historic District in 1987.
1) Beard, Rick. Mosby's Sneak Attack, The New York Times: Opinionator. March 8th 2013. Accessed June 30th 2020. https://opinionator.blogs.nytimes.com/2013/03/08/mosbys-sneak-attack/?searchResultPosition=1.
2) Coski, Ruth Ann. John Singleton Mosby (1833–1916), Encyclopedia Virginia: Virginia Humanities. March 1st 2014. Accessed June 30th 2020. https://www.encyclopediavirginia.org/mosby_john_singleton_1833-1916.
3) John Singleton Mosby; Biographies; Learn, American Battlefield Trust. Accessed June 29th 2020. https://www.battlefields.org/learn/biographies/john-singleton-mosby.
4) Malanowski, Jamie. The Underappreciated and Forgotten Sites of the Civil War: Fairfax, Virginia (2 of 15), Smithsonian Magazine. April 1st 2015. Accessed June 29th 2020. https://www.smithsonianmag.com/history/underappreciated-forgotten-sites-civil-war-180954579/?page=2.
5) Mosby, John Singleton. Russell, Charles Wells. The Memoirs of Colonel John S. Mosby. Boston, MA. Little, Brown, and Company, 1917. University of North Carolina at Chapel Hill: Documenting the American South. 1998. Accessed June 30th 2020. https://docsouth.unc.edu/fpn/mosby/mosby.html.
6) Mosby, John S. One of My War Adventures. Belford's Monthly. Volume 9 (June-November 1932). pp. 122 - 132. Google Books. November 21st 2007. Accessed June 30th 2020. https://books.google.com/books?id=PMURAAAAYAAJ.
7) Ryan, Terri Jo. Waco physician's former Virginia home has storied past, Waco Tribune-Herald. July 20th 2013. Accessed June 30th 2020. https://www.wacotrib.com/news/local/waco-physician-s-former-virginia-home-has-storied-past/article_3e2d09f8-0054-55ef-8485-5bfe993574b5.html.
8) Saxe, Emma Jane. City of Fairfax Historic District, National Register of Historic Places Inventory/Nomination Form, Virginia Division of Historic Landmarks (now Virginia Department of Historic Resources). October 27th 1987. Accessed June 30th 2020. https://www.dhr.virginia.gov/VLR_to_transfer/PDFNoms/151-0003_CityofFairfax_HD_1987_Final_Nomination.pdf.
9) Whitehead, Ashley M.. Antonia Ford (1838–1871), Encyclopedia Virginia: Virginia Humanities. May 27th 2014. Accessed June 30th 2020. https://www.encyclopediavirginia.org/Ford_Antonia_1838-1871.
Public Domain - Wikimedia Commons (https://commons.wikimedia.org/wiki/File:John_S._Mosby_-_Brady-Handy.jpg)
Public Domain - Wikimedia Commons (https://commons.wikimedia.org/wiki/File:Gen._Edwin_Henry_Stoughton.jpg)
On HMdb.org (https://www.hmdb.org/PhotoFullSize.asp?PhotoID=18641)
Public Domain - Wikipedia (https://en.wikipedia.org/wiki/File:Truro_Church.jpg)
The Memoirs of Colonel John S. Mosby
City of Fairfax Historic District National Register of Historic Places Nomination (the Dr. Gunnell House is a contributing entry)
John Singleton Mosby (1833-1916) bio on Encyclopedia Virginia
A Walking Tour of Mosby's Raid on Fairfax on All Not So Quiet Along the Potomac
The Legend of Mosby's Hidden Treasure, supposedly captured on his Fairfax raid
Article about Mosby's Fairfax raid from Historic Fairfax City, Inc.
Article about Dr. Gunnell, including historic pictures of the home and pictures of his wartime medical kit
Article about Dr. Gunnell and Civil War medicine
History of the Waco Medical Association with Reminiscences and Irrelevant Comments by William O. Wilkes - includes bio of Dr. Gunnell
Antonia Ford (1838-1871) on Encyclopedia Virginia
Clio entry for Antonia Ford's home
Truro Anglican Church - current owner of the Dr. Gunnell House
(703) 273-1300 (Truro Anglican Church)
Created by American Military History (Regents Bachelor of Arts Program) on October 1st 2018, 5:36:17 pm.
Last updated by Benjamin Woodard on July 1st 2020, 4:15:28 am.
Fairfax Virginia Walking Tour
This tour begins at Fairfax's Farr Homeplace and moves west along Main Street. The tour includes stops at various historic landmarks, historical markers, and museums/visitors centers along Main.
Fairfax County, with its proximity to Washington, D.C. and Maryland and location in Confederate Virginia, was an important location during the Civil War. This tour tracks its history from skirmishes early in the war (including the first Confederate officer killed), to the First Battle of Bull Run, to the Union and Confederate line of defenses following the battle, to skirmishes during the winter of 1861-62, to the Battle of Chantilly following the Second Battle of Bull Run (and immediately preceding General Lee's Maryland Campaign), to Confederate General J.E.B. Stuart's and Colonel John Mosby's raids, which continued through the end of the war. While there are hundreds of Civil War-related sites in the county, this tour includes many of the most important, as well as the two Civil War museums - the Civil War Interpretive Center at Historic Blenheim and the Stuart-Mosby Civil War Cavalry Museum. The tour is organized semi-chronologically; for directions for most efficient driving, go here: https://goo.gl/maps/9mk56UUEqTMyB5y7A.


Best car insurance in MA. Get the Lowest Car Insurance Quotes and Policy HERE, TODAY!
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Does serve1818 belong in this group?
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Does aideno96 belong in this group?
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Does rmwilson belong in this group?
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What does Relationship Banking mean?
It means community-owned and staffed, with a team of banking professionals who know you by name and understand your needs. It means local decision-making and a comprehensive suite of lending and depository products and services. It means a superior customer experience with a commitment to the communities we serve. We invite you to experience our brand of Relationship Banking.


text:
Tycho's Weather Rides a Sonic Breeze
Every album Tycho releases is like a musical passport for his fans.
Tycho mastermind Scott Hansen's electronic soundscapes take listeners on a sonic journey of their own choosing where the destination is unexpected and unfamiliar. His intoxicating songs conjure meditative images of waves crashing on secluded island beaches, warm summer breezes blowing over a field of blossoming flowers, a gentle rain nourishing an old growth forest filled with proud sequoias, or a leisurely boat ride with your best friends in a brand new city you're all exploring for the very first time.
There is a lot of space to lose yourself within Tycho's music. Hansen artfully crafts a dynamic musical atmosphere where thoughts and minds can drift along the ambient tides of his inventive rhythms and evocative melodies, leaving your worries behind as you float on the buoyant clouds of his reflective sonic daydreams. Hansen is able to coax a range of tender emotions and poignant memories out of his fans with songs that both soar and simmer. He strikes a creative balance between whimsical minimalism and a propulsive swirl of harmonics. Tycho's songs will take you somewhere special once you give yourself up to their sensory charms.
On 2019's Weather, Tycho's fifth studio album, Hansen reimagined the instrumental chillwave vibes featured on his early work by working with a vocalist for the first time. Hansen collaborated with Saint Sinner (real name Hannah Cottrell) on much of the album, with the singer featured on five of the record's eight tracks.
"When setting out to record Weather I wanted to finally fulfill what had been a vision of mine since the beginning: to incorporate the most organic instrument of all, the human voice," Hansen explains. "While developing the initial concepts, I met Hannah Cottrell, aka Saint Sinner, and the vocal component of the album immediately came into focus. Our initial sessions were incredibly productive and I strongly identified with the imagery in her lyrics. Her vision folded effortlessly into mine and her voice integrated seamlessly into the sonic landscape opening new spaces for me as a songwriter and producer."
Saint Sinner's vocals and lyrical themes mesh perfectly with the pensive, searching quality of Tycho's musical arrangements on Weather. The duo's unexpected collaboration never sounds forced or out of step with the album's musical direction, as the songs find the pair complimenting each other's artistry and augmenting their respective creative ideas. Their partnership allowed Hansen to use Saint Sinner's lyrics to reinforce the sonic concepts he was exploring with Weather. Change will eventually arrive for us all if we are patient and receptive to the dawn of a new day, just like the grateful calm that settles in after a storm finally breaks and glorious clear skies appear after a long stretch of turmoil.
The album is also a bold exploration of the multiple sides of love, as Saint Sinner explains about one of the record's standout tracks, "Pink & Blue." The lines, 'Oh, pink and blue, you know I look good on you,' originally stemmed from when I was romantically involved with a man and a woman simultaneously, for the first time in my life," said Cottrell of the inspiration behind the song. "It was a defining moment for me. I went from being a young religious kid who thought she would marry a man to a young woman who realized her love for women. I now found myself, somewhere in the middle, leaning more closely to women. 'Pink & Blue' is a love song to no one, to everyone, and to myself. It's a sweet reminder to all lovers to hold onto their love with open arms; to be fearless about any type of love and to be fearless about losing their love. Love is never lost."
Tycho and Saint Sinner cover a range of emotions throughout Weather, with the astral sounds of the song's musical movements serving to amplify the sincere feelings expressed by the vocals. But like the best of Tycho's work, these tracks are only a loose roadmap of where your heart and your mind can possibly go within the music. Ultimately, it is up to the listener to decide where the songs will lead, and where you find yourself after silence settles in as the record stops spinning. Like Bob Dylan famously sang, "You don't need a weatherman to know which way the wind blows." And with Weather, Tycho captures the sounds of sonic breezes from all corners of the compass, inviting us to explore his boundless musical world with him once again.
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redpajama_set_name: RedPajamaGithub


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\section{Introduction}

Magnetic thin film elements are a key building block of magnetic sensors \cite{suess2018topologically}. In order to compute the magnetic response of thin film elements,
the Landau-Lifshitz-Gilbert (LLG) equation is solved numerically. The finite difference \cite{doi:10.1002/9780470022184.hmm202} or finite element \cite{doi:10.1002/9780470022184.hmm203} computation of the demagnetizing fields
and the time integration of the Landau-Lifshitz-Gilbert equation requires a considerable computational effort. On the other hand electronic circuit design and real time process control need
models that provide the sensor response quickly. A possible route to build reduced order models that give the magnetic state as function of applied field and time is the use of deep neural networks.
Machine learning has been successfully used in fluid dynamics in order to speed up simulations \cite{kim2018deep, wiewel2018latent}.
These methods first learn a representation of the fluid in reduced dimensions by convolutional neural networks. With the compressed fluid states a second neural network is trained for the
time integration in the latent space. Finally, the velocity or pressure fields along the trajectory are reconstructed.

In this letter we propose a convolutional neural network to reduce the dimensionality of thin film magnetization and show how latent space dynamics can be applied to predict the magnetic response of magnetic thin film elements.
The concept is demonstrated for the micromagnetic standard problem 4 \cite{mcmichael2001switching}.

\begin{table}[!ht]
	\caption{Layout of the autoencoder. Here we use the names as used in Keras \cite{chollet2015keras} to specify the type of the layer and the activation function. The first convolution layer and the last convolution layer use a kernel width $4\times4$. For all other convolution layers the kernel width is $2\times2$. For all convolution layers we use a stride $2\times2$. The drop out rate of the dropout layers is 0.1.}
	\label{tab:autoencoder}
	\begin{tabular}{ l c r }
		Layer  & Activation & Output shape  \\ \hline \hline
		Input  & -   & $64\times256\times3$ \\
		Conv2D & elu & $32\times128\times16$ \\
		Conv2D & elu & $16\times64\times32$ \\
		Conv2D & elu & $8\times32\times64$ \\
		Conv2D & elu & $4\times16\times128$ \\
		Conv2D & elu & $2\times8\times256$ \\
		Conv2D & elu & $1\times4\times512$ \\
		Flatten & - & $2048$ \\
		Dropout & - & $2048$ \\ \hline
		Dense & elu & $16$ \\ \hline
		Dense & elu & $2048$ \\
		Dropout & - & $2048$ \\
		Reshape & - & $1\times4\times512$  \\
		Conv2DTrans & elu & $2\times8\times256$ \\
		Conv2DTrans & elu & $4\times16\times128$ \\
		Conv2DTrans & elu & $8\times32\times64$ \\
		Conv2DTrans & elu & $16\times64\times32$ \\
		Conv2DTrans & elu & $32\times128\times16$ \\
		Conv2DTrans & tanh & $64\times256\times3$ \\ \hline
	\end{tabular}
\end{table}

\begin{table}[!ht]
	\caption{Layout of the predictor. Here we use the names as used in Keras \cite{chollet2015keras} to specify the type of the layer and the activation function. The drop out rate of the dropout layer is 0.02.}
	\label{tab:predictor}
	\begin{tabular}{ l c r }
		Layer  & Activation & Output shape  \\ \hline \hline
		Input  & -   & $66$ \\
		Dense & elu & $64$ \\
		Dense & elu & $64$ \\
		Dropout & - & $64$ \\
		Dense & elu & $32$ \\
		Dense & elu & $32$ \\
		Dropout & - & $32$ \\
		Dense & elu & $16$ \\
		Dense & elu & $16$ \\ \hline
	\end{tabular}
\end{table}

\section{Methods}
In order to build a neural network based reduced order model for effective time-integration of the Landau-Lifshitz-Gilbert equation we require the following building blocks:
\begin{itemize}
\item[(i)]
Magnetic states obtained from Landau-Lifshitz-Gilbert numerical time-integration used for training the neural networks,
\item[(ii)]
Models to compute the latent space representation of a magnetic state and to reconstruct a full magnetization state from its compressed state, and
\item[(iii)]
A model to predict a future magnetic state in the latent space from previous states in the latent space.
\end{itemize}
Let us consider the discretized magnetization vector at the $n_T$ discrete time points $t_i,\,i=1,\hdots,n_T$ with $\mathbf{m}_i \in (\mathbb{R}^{N})^3$, where $N$ denotes the number of spatial discretization points.
Let $E$ be the \textit{encoder} model that compresses a magnetic state $\mathbf{m}_i$, that is, $E(\mathbf{m}_i) = \mathbf{c}_i \in \mathbb{R}^m$,
where $m \ll N$ is the number of units in the output layer of the encoder model. Note that the compressed states $\mathbf{c}_i$ have much lower dimensionality than the states $\mathbf{m}_i$.
The \textit{decoder} model $D$ builds a full magnetization $\widetilde{\mathbf{m}}_i$ from the compressed state representation, that is, ${D(\mathbf{c}_i) = \widetilde{\mathbf{m}}_i}$.
Our goal is to build a model $P$ that predicts the future time evolution in latent space from previous points in time,
that is, $P(\mathbf{h},\mathbf{c}_{i-n},...,\mathbf{c}_{i-1},\mathbf{c}_{i}) = \widetilde{\mathbf{c}}_{i+1}$, where the prediction $\widetilde{\mathbf{c}}_{i+1}$ should be as close as possible to ${\mathbf{c}}_{i+1}$ and $\mathbf h$ denotes the external field.
In our simulations we set $n= 3$. Once we have trained a neural network that represents $P$ we can loop in time and follow the dynamics of the system in latent space.
Finally, we decode the compressed states along the trajectory to obtain an approximate solution of the Landau-Lifshitz-Gilbert equation.

Neural networks require data for training. We use fidimag \cite{bisotti2018fidimag} to generate magnetic states via solving the Landau-Lifshitz-Gilbert equation.
We apply an external field to the initial state defined in the specifications of the micromagnetic standard problem 4
and integrate the Landau-Lifshitz-Gilbert equation for different applied fields.
The grid resolution is $256\times64\times1$ which gives a mesh size of $1.95$ nm in-plane and $3$ nm in the out-of-plane direction and $N = 16\,384$.
For each field we integrate for one nanosecond and store the magnetic state every $0.01$ nanoseconds, so $n_T = 100$. We compute trajectories for 200 different fields which gives a total of $200 \times n_T = 20\,000$ magnetic states for training. We apply fields that trigger switching of the magnetic thin films. The fields oppose the initial magnetization and are applied in-plane. We randomly sample the fields from a segment with opening angle of 44 degrees. The field strengths varies from 22 mT/$\mu_0$ to 41 mT/$\mu_0$.

We use unsupervised learning to find compressed magnetic states. We train a convolutional autoencoder \cite{geron_hands-machine_2017}. An autoencoder learns to copy their inputs to their outputs. Thereby they learn representing the input state in lower dimensionality. Autoencoders consist of several layers of neurons. The layers are symmetric with respect to the central hidden layer.
In our case the central hidden layer has $16$ units. Thus the dimension of a vector in latent space is $m = 16$. From the inputs to the hidden layer (encoder) the number of units decreases from layer to layer, from the hidden layer to the outputs (decoder),
the number of units increases from layer to layer. The layout of the autoencoder is given in Table \ref{tab:autoencoder}. The input to the neural network are the magnetization vectors at the computational grid points. Thus the shape of the input is $64\times256\times3$. Convolution layers learn local patterns in a small two-dimensional window whose size is defined  by the kernel width. The distance between two successive windows is called stride. With a $2\times2$ stride each convolution layer reduces the number of features by a factor of $1/2$. The activation function determines the output of each unit of a layer. Clevert and co-workers \cite{clevert2015fast} show that the \textit{exponential linear unit} (elu)  speeds up learning of autoencoders.  Dropout randomly sets to zero a number of output units of the layer during training. The dropout rate is the fraction of units beeing dropped. Dropout is an efficent means to avoid overfitting in neural networks \cite{srivastava2014dropout}.

To train the autoencoder we minimize the following loss function (fixed time point $t_i$ and omitting the index $i$):
\begin{eqnarray*}
L_{ED} & = & L_1 + L_2, \,\,\, \mathrm{where} \\
L_1 & = & \sum_j \left(|m_{j,x} - \widetilde{m}_{j,x}| + |m_{j,y} - \widetilde{m}_{j,y}| + 10|m_{j,z} - \widetilde{m}_{j,z}|\right) \,\,\, \mathrm{and}\\
L_2 &= &\sum_j \left( \sqrt{ (\widetilde{m}_{j,x})^2+(\widetilde{m}_{j,y})^2 + (\widetilde{m}_{j,z})^2 }-1  \right).
\end{eqnarray*}
Please note that for training the autoencoder we do not include the external field as input.
Here $j$ refers to the index of the computational cell; and $x$, $y$, $z$  refer to the Cartesian components of the unit vector of the magnetization. The input and output of the autoencoder are the components $m_{j,x},\,m_{j,y}\,m_{j,z}$ and $\widetilde{m}_{j,x},\,\widetilde{m}_{j,y},\,\widetilde{m}_{j,z}$, respectively.
In soft magnetic thin films the magnetization is preferably in-plane. In order to train the network also for the small out-of-plane component of the magnetization we weight the error in the $z$-component with a factor of $10$.
The term $L_2$ is a penalty term that tries to keep the length of reconstructed magnetization vectors to $1$. We split the $20\,000$ magnetic states into $16\,000$ states used for training, $2\,000$ states used
for validation, and $2\,000$ used for testing the neural network.
We tuned the hyper parameters per hand in order to minimize the loss function computed for the validation set.
We obtain good results by using the Nadam optimizer \cite{dozat2016incorporating} for training with an initial learning rate of $0.0001$. Nadam is a gradient descent optimization algorithm which is supposed to converge quickly. The learning rate determines the step size of the algorithm.

\begin{figure}[h]
	\includegraphics[scale=0.45]{sparse_time.png}
	\caption{Magnetization components in $x$, $y$, and $z$ direction integrated over the sample as function of time for field 1 (left) and field 2 (right). Dashed lines: micromagnetics, dots: reconstruction after encoding and decoding.}
	\label{fig:mu4}
\end{figure}

The second neural network is trained for predicting future magnetic states. Here we use a feed-forward neural network whose layout is given in Table \ref{tab:predictor}. We use 4 magnetic states from the past to predict the magnetic state at the next time step. In addition to the magnetic states of the past the external field is an important input. Thus the input vector of the network has a length of $2+4\times16= 66$.
In order to define a loss function for the predictor we recursively apply the predictor to $8$ future magnetic states:
\begin{eqnarray*}
L_P & = & |\mathbf{c}_{i+1}-P(\mathbf{h},\mathbf{c}_{i-3},\mathbf{c}_{i-2},\mathbf{c}_{i-1},\mathbf{c}_{i})|_2^2 + \\
&&  |\mathbf{c}_{i+2}-P(\mathbf{h},\mathbf{c}_{i-2},\mathbf{c}_{i-1},\mathbf{c}_{i},\widetilde{\mathbf{c}}_{i+1})|_2^2 + \\
&&
|\mathbf{c}_{i+3}-P(\mathbf{h},\mathbf{c}_{i-1},\mathbf{c}_{i},\widetilde{\mathbf{c}}_{i+1},\widetilde{\mathbf{c}}_{i+2})|_2^2 + \\
&&
|\mathbf{c}_{i+4}-P(\mathbf{h},\mathbf{c}_{i},\widetilde{\mathbf{c}}_{i+1},\widetilde{\mathbf{c}}_{i+2},\widetilde{\mathbf{c}}_{i+3})|_2^2 + \\
&&
|\mathbf{c}_{i+5}-P(\mathbf{h},\widetilde{\mathbf{c}}_{i+1},\widetilde{\mathbf{c}}_{i+2},\widetilde{\mathbf{c}}_{i+3},\widetilde{\mathbf{c}}_{i+4})|_2^2 +\\
&&
|\mathbf{c}_{i+6}-P(\mathbf{h},\widetilde{\mathbf{c}}_{i+2},\widetilde{\mathbf{c}}_{i+3},\widetilde{\mathbf{c}}_{i+4},\widetilde{\mathbf{c}}_{i+5})|_2^2 +\\
&&
|\mathbf{c}_{i+7}-P(\mathbf{h},\widetilde{\mathbf{c}}_{i+3},\widetilde{\mathbf{c}}_{i+4},\widetilde{\mathbf{c}}_{i+5},\widetilde{\mathbf{c}}_{i+6})|_2^2 +\\
&&
|\mathbf{c}_{i+8}-P(\mathbf{h},\widetilde{\mathbf{c}}_{i+4},\widetilde{\mathbf{c}}_{i+5},\widetilde{\mathbf{c}}_{i+6},\widetilde{\mathbf{c}}_{i+7})|_2^2.
\end{eqnarray*}
Training the neural network by looking ahead in time improves the predictive capability. This way of training the predictor was originally applied by Kim and co-workers \cite{kim2018deep} for fluid simulations.
In order to generate the training data we compress the magnetic states computed micromagnetically with the encoder. We split the data into a training set, a validation set, and a test set.
Again, we use the Nadam optimizer \cite{dozat2016incorporating} for training with a learning rate of 0.0001.

\begin{figure}[h]
	\includegraphics[scale=0.415]{sparse.png}
	\caption{Magnetic states at different times for an external field of $\mu_0 H_x = -24.6$~mT and $\mu_0 H_y = 4.3$~mT (field 1).  Left: Micromagnetic result. Right: Reconstructed magnetization after encoding and decoding.}
	\label{fig:sparse}
\end{figure}

\section{Results}

We used the micromagnetic standard problem 4 to demonstrate the dimensionality reduction achieved by the autodecoder and the prediction of magnetization dynamics using latent space integration by a trained neural network.
The standard problem treats a $500$~nm $\times$ $125$~nm $\times$ $3$~nm permalloy element. For computing the magnetization dynamics two different external fields should be applied. Field 1 is $\mu_0 \mathbf{H}_\mathrm{ext,1} = (-24.6\,\mathrm{mT},\,4.3\,\mathrm{mT},\,0)$; and field 2 is $\mu_0 \mathbf{H}_\mathrm{ext,2} =(-35.5\,\mathrm{mT},\,-6.3\,\mathrm{mT}, \,0)$. Please note that field 1 and field 2 were not included in the training set and the validation set which were used to train the neural networks. The dashed lines in Figure \ref{fig:mu4} show the magnetization components as function of time.
The dots give the magnetization obtained after compression and reconstruction of the magnetic states with the autoencoder.
The results show that the autoencoder perfectly found a very low dimensional representation of the magnetic states. Only for field 2 at around 0.5 ns there is a small deviation of $M_x$ from the reconstruction from $M_x$ computed by micromagnetic simulations (see right hand side of Figure \ref{fig:mu4}).
To give a fair estimate of the compression rate we ignore the out-of-plane component of the magnetization. Then the magnetization vector at a grid point can be described by one magnetization angle.
For $64\times256$ computational grid points and $16$ units in the hidden layer of the autoencoder we achieve a compression ratio of {1024:1}.
Figure~\ref{fig:sparse} compares magnetic states obtained from micromagnetic simulations and after reconstruction from the compressed states.
Whereas no significant difference is seen for the integrated quantities (see left hand side of Figure \ref{fig:mu4}), slight difference in the local magnetization configuration can be observed  at the right side of the slab for $0.6$ ns.

\begin{figure}[h]
\includegraphics[scale=0.4]{latent.png}
\caption{Examples for the representation of the magnetization in the hidden layer of the autoencoder. The images give 4 examples reconstructed magnetization states when just one neuron of the hidden layer is activated.}
\label{fig:hidden}
\end{figure}

We speculated whether the representation by the hidden layer of the autoencoder is related to the spectral modes of the sample \cite{d2009spectral}. Therefore we activated just one of the neurons of the hidden layer
and decoded this state. Thus we can see the magnetic state that corresponds to an active neuron of the hidden layer. Figure \ref{fig:hidden} shows four out of the possible sixteen representations.
In contrast to the spectral modes reported in \cite{d2009spectral} for the very same sample, some of the 16 hidden states are clearly asymmetric. Thus we conclude that the sparse representation achieved by
the convolutional autoencoder is different from those obtained by mode analysis \cite{bruckner2019large} of magnetic samples.
In fact, the notion of modal subspace approximation is through linear combination of (different) eigenmodes where in principle convergence is reached through expanding the basis subset sufficiently.
In the case of artificial neural networks the approximation of continuous functions is through a finite linear combination of a nonlinear activation function, like exponential linear unit (elu), which exhibits convergence
due to the universal approximation theorem \cite{Cybenko1989}[Th. 2].

\begin{figure}[h]
\includegraphics[scale=0.45]{predict_time.png}
\caption{Magnetization components in $x$, $y$, and $z$ direction integrated over the sample as function of time. The external field is $\mu_0 H_x = -24.6$~mT and $\mu_0 H_y = 4.3$~mT (left) and $\mu_0 H_x = -35.5$~mT and $\mu_0 H_y = -6.3$~mT (right). Dashed lines: micromagnetics, dots: predicted magnetization from neural network based integration in latent space.}
\label{fig:mu4predict}
\end{figure}

\begin{figure}[h]
\includegraphics[scale=0.415]{predicted.png}
\caption{Magnetic states at different times for an external field of $\mu_0 H_x = -24.6$~mT and $\mu_0 H_y = 4.3$~mT (field 1).  Left: Micromagnetic result. Right: Prediction from latent space integration by a neural network model.}
\label{fig:predict}
\end{figure}

For applying the neural network to time integration of the Landau-Lifhsitz-Gilbert equation we computed the magnetic states at $0.01$~ns, $0.02$~ns, $0.03$~ns, and $0.04$~ns using the micromagnetic solver.
Using these four precomputed states all states from $0.05$ ns to $1$ ns were predicted using the neural network predictor. Figure \ref{fig:mu4predict} compares the micromagnetic results with the prediction from
latent space integration. For $\mu_0 H_x = -24.6$~mT and $\mu_0 H_y = 4.3$~mT (field $1$) the predictions are almost perfect. For $\mu_0 H_x = -35.5$~mT and $\mu_0 H_y = -6.3$~mT (field $2$) some deviation occur
between the ground truth and the prediction from the neural network at around $0.4$ ns.  This is not surprising when considering that also different conventional micromagnetic solvers diverge at approximately the same time \cite{mcmichael_mag_nodate}. This divergence might be related to the annihilation of a 360 degree domain wall and the resulting dynamics on a fine length scale \cite{mcmichael2001switching}. In order to learn this fine-scale dynamics a larger training set might be required.

Comparing the ground truth and the predicted magnetic states for field 1 at different points in time time (see Figure \ref{fig:predict}), we see that some local details of the magnetization distribution are lost at 0.6 ns and 0.8 ns.

\section{Discussion}

Neural network autodecoders may be an alternative to spectral modes for dimensionality reduction of magnetic states in sensor elements.
Although there is a computational effort associated with training the network for the specific geometry, the high compression rate may be beneficial for developing reduced order models of the magnetization dynamics.
Solutions of the Landau-Lifshitz-Gilbert equation for a range of different external fields were encoded and used to train a neural network for time integration in the latent space.
The neural network model is used to predict future magnetic states in compressed form. Finally, the time evolution of the magnetization is obtained by decoding the predictions.
Though we did not do any measurement of CPU time, magnetization dynamics with pretrained neural networks is orders of magnitude faster than the direct integration of the Landau-Lifshitz-Gilbert equation.

\section{Conclusions}

A machine learning approach for modeling magnetization dynamics in magnetic thin films elements was presented.
Deep neural networks were applied for dimensionality reduction and for time integration in the latent space.
The potential of this approach was demonstrated with the micromagnetic standard problem 4. In summary, we show that neural network based reduced order models may help to simulate magnetization dynamics effectively for a prescribed range of parameters, like for the external field in our case. These models may be useful for applications where computation time matters.

\section*{Acknowlegement}
The support from the Christian Doppler Laboratory Advanced Magnetic Sensing and Materials (financed by the Austrian Federal Ministry of Economy, Family and Youth, the National Foundation for Research, Technology and Development) is acknowledged. LE is supported by the Austrian Science Fund (FWF) via the project "ROAM" under grant No. P31140-N32.

redpajama_set_name: RedPajamaArXiv


text:
Smart Social Podcast: Keeping students safe so they can Shine Online
Mom Talk: Becoming A More Present Parent In Today's Digital World
Digital distractions are now a daily struggle for many moms and dads. But continual chirps and dings don't have to constantly distract you from family life. On this episode of the Smart Social Podcast's Mom Talk, hosts April Whiting and Jennifer Zumbiel discuss the moments that changed their view of motherhood. Learn how they continually work to be more present parents in today's digital world.
Get to know the Smart Social Podcast's new "Mom Talk" Hosts April Whiting and Jennifer Zumbiel. They are two moms who are trying to raise strong families and are desperate to not let distractions win.
Listen as they tell the stories of the moments that changed their view of motherhood, and ultimately led to the creation of both of their businesses. They discuss being in the trenches of motherhood. The good, the hard, and the in-between.
April and Jennifer are big believers in quality over quantity when it comes to meaningful family time. April discusses the importance of eye contact, and Jennifer gives her tips on "stop, drop, and fold" to give your children moments of all of you.
April is the mother of 4, a TedX speaker, author, and founder of www.thescreensafeproject.com
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Dr. Reeves has a passion for helping people, which is evident with his involvement in Sozo Children.
Dr. Reeves does medical missions every year to the region. He also attends and helps with the annual golf tournament to raise funds for the organization.
The next time you are in his office, take a look at the SOZO necklaces that are available for purchase to aid in his mission.


text:
We-Z
Anna May Wong Biography
Died: February 3, 1961
Asian American actress
Anna May Wong is chiefly remembered as the first actress of Asian descent to achieve stardom as the "Oriental temptress," so much a fixture of melodramas in the late 1920s and 1930s.
Born on Flower Street in Los Angeles, California, in 1907, Anna May Wong was named Wong Liu Tsong, which in Cantonese means "frosted yellow willow." Wong was third-generation Chinese American; her father was born in Sacramento, California, and his father had moved to California during the Gold Rush, where thousands flocked to the state in hopes of striking it rich with gold.
Growing up, Wong and her six brothers and sisters lived in an apartment over the family's run-down laundry. Her first memories were of constant steam and the strong odor of hot-ironed linen. As a young child, Wong became fascinated with the brand new world of movies. She began skipping Chinese school in the evenings to watch such movies as The Perils of Pauline (1914) at the local theater. By the time she was eleven, Wong decided she was going to be a movie actress. Against all odds, she got her first part at age fourteen when an agent hired three hundred Chinese girls as extras in the 1919 film The Red Lantern. Hardly visible in the film, she went on to get a few more minor roles.
Hollywood calls
For two years, Wong worked after school as an extra without telling her parents, who, she knew, would not approve. At age sixteen, her father found her a job as a secretary, but Wong was fired as unqualified one week later. When she returned home, fearing her father's anger, she found a letter from a director's office offering her a role in the film Bits of Life (1921). It would bring Wong her first screen credit. Although Wong's father strongly objected to his daughter's chosen career, he eventually gave in on the condition that an adult escort, often he himself, would accompany the young Wong on the film sets at all times. When she was not in front of the cameras, her father locked her into her room on the set.
At age seventeen, Wong had one of the few romantic lead roles she would ever play in Toll of the Sea (1923), the first Technicolor (an early color film) feature ever made. As a young village girl who marries an American sailor, Wong captured the media's attention for the first time. Reporters began to appear at the laundry in the hopes of catching Wong for an interview or a photo.
International fame came in 1924 with The Thief of Bagdad, in which Wong played an exotic Mongol slave girl opposite star Douglas Fairbanks Sr. (1883–1939). Wong's role embarrassed her family. Although Wong would continue to support her family for many years, she remained close only to her brother, Richard.
The movie star's life
The success of Bagdad led to countless new offers. She appeared as an Eskimo in The Alaskan and a Native American girl in Peter Pan. In addition to film roles, Wong also worked as a model. She made a few more films, but soon became aggravated with the roles and with Hollywood's practice of casting non-Asians in the few leading Asian roles. Wong finally fled to Europe where, in London, she costarred with Charles Laughton (1899–1962) in Piccadilly. After the film, director Basil Dean produced a Chinese play, A Circle of Chalk, specifically for Wong. She successfully played opposite the rising new talent, Laurence Olivier (1907–1989), in London's New Theater.
Wong remained in Europe for three years, where she was hailed for her film and stage appearances. In Germany and France, she made foreign versions of her British films, including Germany's first sound picture. She spoke both German and French so fluently that critics could hardly believe they were hearing her voice instead of a native actress. During her career, Wong taught herself to speak English, Chinese, French, German, and Italian.
Wong's next screen role, Daughter of the Dragon, cast her in yet another stereotypical (having to do with opinions based on generalizations) role as the daughter of the infamous Dr. Fu Manchu. Wong then appeared in the thriller Shanghai Express, starring Marlene Dietrich (1901–1992). Wong's portrayal of the bad-girl-turned-good inspired better reviews than Dietrich received. Years later, the star would complain that Wong had upstaged her.
Anna May Wong.
Reproduced by permission of the
Corbis Corporation
An early retirement
In 1942, finally fed up with the Hollywood system, Wong retired from films at the age of thirty-five. Throughout the war, she contributed to the war efforts by working for the United China Relief Fund and touring with the United Service Organizations, Inc. (USO; a group that provided entertainment and other services for the U.S. military). During the 1940s and 1950s, Wong took occasional small parts on television, even starring in her own series, Mme. Liu Tsong, in which she played the owner of an international chain of art galleries who was also a sleuth.
Seventeen years after retirement, Wong attempted a film comeback. She returned as Lana Turner's (1920–1995) mysterious housekeeper in the 1950 film, Portrait in Black. In 1961, while she was preparing for the role of the mother in Flower Drum Song, Wong died of a heart attack in her sleep.
"Anna May Wong." In Notable Asian Americans. Edited by Helen Zia and Susan B. Gall. Detroit: Gale, 1995.
Parish, James Robert, and William T. Leonard. Hollywood Players: The Thirties. New Rochelle, NY: Arlington House, 1976.
Anna May Wong Biography forum
Winfrey, Oprah Woods, Tiger


text:
Arts & Entertainment, Reviews
'Community''s Abed Nadir is the perfect representation of Gen Z's main character obsession
March 30, 2021 12:25 am by Grace Donahue
In the weirdly wonderful show that is "Community," the world was gifted with the enigma that is Abed Nadir. The eccentric community college film student Nadir always grounds his cast of friends with his televisual references, and even contributed to the unofficial motto of the show's dedicated fans: "six seasons and a movie."
"Community" is an oddball amongst the ranks of other workplace sitcoms — a favorite genre of mine. The show features an unlikely group of Greendale Community College students who join together to form a study group. Of course, that does not begin to touch on the craziness that ensues as the show progresses.
Danny Pudi, who plays Abed Nadir in "Community." Nadir represents many members of Generation Z. COURTESY OF GAGE SKIDMORE VIA WIKIMEDIA COMMONS
The show is known for bending genres, paying tribute to great television and movie styles with episodes that pay homage to them and portraying its characters as a perfect mix of complex and hilariously shallow.
Nadir is a student at Greendale taking classes so he can later take over his dad's falafel restaurant, but his true passion is filmmaking. This is a clear point of contention between the two, but after watching one of Nadir's short films, his dad comes around to support his passion.
Throughout the show, Nadir is always trying to break the fourth wall of his life. At times, the camera is actually in his hand — like in the season two episode "Intermediate Documentary Filmmaking," where Nadir uses Pierce Hawthorne's near-death experience as the basis of a documentary.
As an aspiring filmmaker, Nadir attempted to capture the "show" that played out in front of him with the study group. He also refers to the "plot" of life and falls back on various television personas and tropes within his own life.
From the first few episodes, I recognized Nadir as a Gen Z kid at heart — or Gen Z-ers are just copying Nadir, since "Community" ran from 2009-2015. Nadir grew up with an overload of television and pop culture similar to Gen Z, who are growing up during the age of the internet and social media.
I also feel as if Nadir would enjoy being a part of the TikTok community due to the ongoing trend of acting like the "main character" in your own life. He would definitely get along with us Gen Z kids making main character playlists and figuring out what archetypes our friend groups fit into.
Many times, Nadir could only see life through the lens of movies, shows and characters, so it felt most natural to him to fall back on these childhood tropes. He embodied so many characters, like Han Solo, and once referenced the situation he and his friends were in as a bottle episode — which he isn't a fan of. He fell into these artificial realities for comfort in a world filled with feelings and emotions that he never really understood.
Nadir's inability to truly comprehend his friends' feelings and emotions relates to a growing trend of Gen Z teenagers not fully being present in their emotions. In many instances when young people talk about trauma on social media, they use dark humor and deflection to cope with difficult issues. Abed's overreliance on different characters once even descended into a stop-motion animated world after receiving sad news.
"Community" would not be the show everyone loves without all its amazing characters, especially Nadir, who served as a pillar to the show. He may not have understood the feelings of his friends, but he was always there as a good friend to everyone. I think Gen Z would be honored to have Abed Nadir as part of their bizarre culture of mixing pop culture with everyday life.
Author: Grace Donahue
Cait Pellerin
Yes Grace!!!! I'm so proud of my little journalist :,)
Mary E. Sheehan
What a great article Miss Grace. I expected nothing less from you. So very proud of you.. I hope you are enjoying your college experience.❤


This was the horse behind us.
After a lovely meal, we were able to ride in the pink lighted carriages. The horse behind us, pictured, was not pink, but the lights turned him that way.
Talk about a bunch of romance authors having the <3 royal princess <3 treatment! Sourcebooks was great!
But the fun is over and it's back to a billion deadlines before the NEXT conference, which is rapidly approaching.
Hero Of A Highland Wolf is the 14th book in the series, and I swear this is one of my favorites so far. I just adored every aspect of the story and I couldn't put this one down once I started into it. We see some old characters from past books, which was fun and hilarious and made the story seem even more enjoyable…the icing of the cake!!
The characters in the story were lively and engaging. Grant…is your alpha wolf. Commanding, jealous, possessive and way too over protective, and with a hidden passion that will make you weak in the knees. The male who has had his share of women, and never thought of settling down….but Ian proves him wrong. There is such a male commadarie in the story and we see more of their friendship in this story. Colleen is best friends with Julia….a secret they have kept from the men until now. So they have some aces up their sleeves and know how to pull a wringer on their mates…Collen was such a fun and feisty heroine. She fights for what she believes, is passionate, and independent, but accepts love when she sees it.
So off I go, ignoring the still packed suitcases and start answering the million emails that need attention, which is only a part of the billion things I have to do….
This was a fun-filled working vacation! 🙂 Do you ever have those and then need a REAL vacation?


text:
Erratum: Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98)
Y. Mossavar-Rahmani, D. Sotres-Alvarez, W. W. Wong, C. M. Loria, M. D. Gellman, L. Van Horn, M. H. Alderman, J. M. Beasley, C. M. Lora, A. M. Siega-Riz, R. C. Kaplan, P. A. Shaw
Epidemiology & Population Health
Correction to: Journal of Human Hypertension (2017) 31, 462–473; doi:10.1038/jhh.2016.98; published online 16 February 2017 Since the publication of this article, the authors have noticed that '%' sign had been omitted after '59.5' in the abstract section, line 13. Additionally, reference 27 should have been omitted.
Journal of human hypertension
https://doi.org/10.1038/jhh.2017.74
10.1038/jhh.2017.74
Dive into the research topics of 'Erratum: Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98)'. Together they form a unique fingerprint.
Hispanic Americans Medicine & Life Sciences 100%
Potassium Medicine & Life Sciences 93%
Self Report Medicine & Life Sciences 91%
Publications Medicine & Life Sciences 86%
Public Health Medicine & Life Sciences 74%
Biomarkers Medicine & Life Sciences 67%
Hypertension Medicine & Life Sciences 67%
Mossavar-Rahmani, Y., Sotres-Alvarez, D., Wong, W. W., Loria, C. M., Gellman, M. D., Van Horn, L., Alderman, M. H., Beasley, J. M., Lora, C. M., Siega-Riz, A. M., Kaplan, R. C., & Shaw, P. A. (2017). Erratum: Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98). Journal of human hypertension, 31(12), 860. https://doi.org/10.1038/jhh.2017.74
Erratum : Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98). / Mossavar-Rahmani, Y.; Sotres-Alvarez, D.; Wong, W. W. et al.
In: Journal of human hypertension, Vol. 31, No. 12, 12.2017, p. 860.
Mossavar-Rahmani, Y, Sotres-Alvarez, D, Wong, WW, Loria, CM, Gellman, MD, Van Horn, L, Alderman, MH, Beasley, JM, Lora, CM, Siega-Riz, AM, Kaplan, RC & Shaw, PA 2017, 'Erratum: Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98)', Journal of human hypertension, vol. 31, no. 12, pp. 860. https://doi.org/10.1038/jhh.2017.74
Mossavar-Rahmani Y, Sotres-Alvarez D, Wong WW, Loria CM, Gellman MD, Van Horn L et al. Erratum: Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98). Journal of human hypertension. 2017 Dec;31(12):860. doi: 10.1038/jhh.2017.74
Mossavar-Rahmani, Y. ; Sotres-Alvarez, D. ; Wong, W. W. et al. / Erratum : Applying recovery biomarkers to calibrate self-report measures of sodium and potassium in the hispanic community health study/study of latinos (Journal of Human Hypertension, (2017), 31, 7, (462-473), 10.1038/jhh.2016.98). In: Journal of human hypertension. 2017 ; Vol. 31, No. 12. pp. 860.
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abstract = "Correction to: Journal of Human Hypertension (2017) 31, 462–473; doi:10.1038/jhh.2016.98; published online 16 February 2017 Since the publication of this article, the authors have noticed that {\textquoteleft}%{\textquoteright} sign had been omitted after {\textquoteleft}59.5{\textquoteright} in the abstract section, line 13. Additionally, reference 27 should have been omitted.",
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AU - Sotres-Alvarez, D.
AU - Wong, W. W.
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N2 - Correction to: Journal of Human Hypertension (2017) 31, 462–473; doi:10.1038/jhh.2016.98; published online 16 February 2017 Since the publication of this article, the authors have noticed that '%' sign had been omitted after '59.5' in the abstract section, line 13. Additionally, reference 27 should have been omitted.
AB - Correction to: Journal of Human Hypertension (2017) 31, 462–473; doi:10.1038/jhh.2016.98; published online 16 February 2017 Since the publication of this article, the authors have noticed that '%' sign had been omitted after '59.5' in the abstract section, line 13. Additionally, reference 27 should have been omitted.
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JO - Journal of Human Hypertension
JF - Journal of Human Hypertension


text:
Last edited by Mozragore
4 edition of Garden cities of to-morrow found in the catalog.
Ebenezer Howard
by Ebenezer Howard
Published 1985 by Wales in Builth Wells .
Garden cities.
Statement Ebenezer Howard ; with an introduction by Ray Thomas.
LC Classifications HT"161"H6"1985
Pagination xxxix, 125 p. :
Read "Garden Cities of To-Morrow" by Ebenezer Howard available from Rakuten Kobo. Originally published in as To-Morrow: A peaceful path to reform, "the book", writes F.J. Osborn "holds a unique pla Brand: Taylor And Francis. Garden Cities of Tomorrow. The story begins with a description of 'three magnets' and these are the country, the town and the town-country. The author gives the benefits that come across with the town-country which include their nature, beauty, green fields, and cooperation among many others (Howard 46).
Internet Archive BookReader Garden Cities of Tomorrow Copy and paste one of these options to share this book elsewhere. Link to this page view Link to the book Embed a mini Book Reader 1 page 2 pages Open to this page? Finished. Garden Cities of . The appearance of Garden Cities of To-morrow in an American paperback brings to an almost hilarious climax this book's astonishing career. At least it produces hilarity—not unmixed with obvious Schadenfreude—in a few people like ce Stein, and myself, who staked our reputations on persistently advocating the ideas first put forward by Ebenezer Howard some .
The Garden City Idea and Modern Planning by Lewis Mumford. 1. Town-country Magnet. 2. The revenue of the Garden City, and how it is obtained - the agricultural estate. 3. The revenue of the Garden City - town estate. 4. The revenue of the Garden City - general observations on its expenditure. 5. Further details of expenditure on Garden City. 6 Price: $ easy, you simply Klick Garden Cities of To-morrow book download link on this page and you will be directed to the free registration form. after the free registrationyou will be able to download the book in 4 format. PDF Formatted x all pages,EPub Reformatted especially for book readers, Mobi For Kindle which was converted from the EPub file, Word, The original source document.
production of an illustrated newspaper.
Cup of gold
Theres music in children
The Butterfly Guide
Increasing high school completion rates
law of dilapidations
Conceptualizing the practice of educational consultancy from the perspective of curriculum and instruction.
Electric liturgy
Morthological variation and habitat relations of intergradient Grand Fir (Abies grandis)/ White Fir (Abies concolor) populations in the Wallowa Mountains, Oregon
Exotic Textiles in Needlepoint
Social casework in Great Britain
Murder, Mr. Mosley
MathMatters 3
Drug Information Hbk Intl 2002
Garden cities of to-morrow by Ebenezer Howard Download PDF EPUB FB2
The classic work that introduced the concept of the Garden City. Originally published in as To-Morrow: A Peaceful Path to Real Reform and reissued in under its present title, Garden Cities of To-Morrow holds a unique place in town planning literature.
The book led directly to two experiments in town-founding that have had a profound influence on practical urban Cited by: The classic work that introduced the concept of the Garden City. Originally published in as To-Morrow: A Peaceful Path to Real Reform and reissued in under its present title, Garden Cities of To-Morrow holds a unique place in town planning literature.
Garden cities of to-morrow book book led directly to two experiments in town-founding that have had a profound influence on practical urban/5. In he self-published the first edition of this book, and proposed migration of populations from overcrowded urban centers (thus relieving their congestion) to sparsely-settled circular rural districts he called "Garden Cities"so named from the greenbelt of undeveloped or agricultural land that surrounded Garden cities of to-morrow book, limiting the size and /5(11).
Garden Cities of To-Morrow. INTRODUCTION. "New forces, new cravings, new aims, which had been silently gathering beneath the crust of re-action, burst suddenly into view."—Green's "Short History of the English People," Chap. The classic work that introduced the concept of the Garden City.
Originally published in as To-Morrow: A Peaceful Path to Real Reform and reissued in under its present title, Garden Cities of To-Morrow holds a unique place in town planning literature. The book led directly to two experiments in town-founding that have had a profound influence on practical urban.
Ebenezer Howard: Garden Cities of To-morrow () Reviewed by Luke Butcher Perhaps one of the most influential books in the field of urban planning in the past years, Garden Cities of To-morrow was the second edition title () of Ebenezer Howard's book To-morrow: A Peaceful Path to Reform ().Author: EAMONN CANNIFFE.
Other articles where Garden Cities of Tomorrow is discussed: Sir Ebenezer Howard: In the s Howard wrote To-morrow: A Peaceful Path to Social Reform. Not published untilthis work was reissued in as Garden Cities of To-morrow. In this book he proposed the founding of "garden cities," each a self-sufficient entity—not a dormitory suburb—of 30, population.
8 rows Free kindle book and epub digitized and proofread Howard. The classic work that introduced the concept of the Garden City. Originally published in as To-Morrow: A Peaceful Path to Real Reform and reissued in.
Open Library is an open, editable library catalog, building towards a web page for every book ever published. Garden cities of to-morrow by Ebenezer Howard, S. Sonnenschein & co., ltd. edition, Garden cities of to-morrow (edition) | Open LibraryAuthor: Ebenezer Howard.
GARDEN CITIES OF TO-MORROW Ebenezer Howard Garden Cities of To-Morrow (London, Reprinted, edited with a Preface by F. Osborn and an Introductory Essay by Lewis Mumford. (London: Faber and Faber, []), So much has been written about Ebenezer Howard () and his garden city concept that this note is scarcely needed.
Garden Cities of To-Morrow - Ebook written by Ebenezer Howard. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Garden Cities of : Ebenezer Howard. With urban renewal and the development of suburban communities as features of the contemoprary American scene, Garden cities of To-Morrow becomes "must" reading.
In the words of Lewis Mumford: "This is not merely a book for Technicians: above all it is a book for citizens, for the people whose actively expressed needs, desires and interests. The classic work that introduced the concept of the Garden City.
Originally published in as To-Morrow: A Peaceful Path to Real Reform and reissued in under its present title, Garden Cities of To-Morrow holds a unique place in town planning literature. The book led directly to two experiments in town-founding that have had a profound influence on practical urban 5/5(1).
COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this 's WebJunction has pulled together information and resources to assist library staff as they consider how to handle.
International Precursors: Garden Cities. Ina self-educated Englishman named Ebenezer Howard, who had been influenced by the writings of Edward Bellamy and Henry George, published Tomorrow: A Peaceful Path to Real Reform.
Revised and re-issued in under a new title, Garden Cities of To-Morrow, Howard's book became a seminal text in the emerging. Media in category "Garden Cities of To-Morrow (book)" The following 30 files are in this category, out of 30 total.
Cover of Garden Cities of 1, × 2,; MBAuthor: Ebenezer Howard. Garden Cities of To-morrow Ebenezer Howard Garden Cities of To-morrow is a book by the British urban planner Ebenezer Howard. When it was published inthe book was titled To-morrow: A Peaceful Path to Real Reform.
In it was reprinted as Garden Cities of To-Morrow. The book gave rise to the garden city : Ebenezer Howard. This book was originally published in as To-morrow, and reissued in as Garden Cities of To-morrow.
The first Garden City, built under the aegis of Howard, Letchworth, was founded in (Howard was one of the first residents). Later he. Summary of Garden Cities of To-Morrow Howard, E. Garden cities of to-morrow. Commerce in Garden City follows the example of World's Fairs and exhibitions, even with the invocation of a Crystal Palace (popularized in the London Exposition).
In this shopping space - dividing central park from 'excellently built houses' - we. Originally published in as To-Morrow: A Peaceful Path to Real Reform and reissued in under its present title, Garden Cities of To-Morrow holds a unique place in town planning literature.
The book led directly to two experiments in town-founding that have had a profound influence on practical urban development around the world/5().the utopian concept of the garden city, first described by British social reformer Ebenezer Howard in his book Garden Cities of To-Morrow (), that shaped the appearance of residential areas in the United States and Great Britain.
Essentially a suburban form, Howard's garden city incorporated low-rise homes on winding streets. Garden Cities of Tomorrow by Ebenezer Howard. Publication date Publisher Swan Sonnenschein & Co., Ltd. Collection americana Digitizing sponsor Google Book from the collections of Harvard University Language English.
Book digitized by Google from the library of Harvard University and uploaded to the Internet Archive by user tpb. Addeddate Pages:
kurt-haspel.com - Garden cities of to-morrow book © 2020


text:
Sunday Submissions: The Gabo Prize for Literature in Translation & Multilingual Texts
The magazine Lunch Ticket is hosting the relatively new Gabo Prize for Literature in Translation & Multilingual Texts:
The prize is funded by writers and translators, and was founded Allie Marini and Jennifer McCharen, who launched the prize to support the work of peer translators.
In an interview with poet Trish Hopkinson, past Lunch Ticket editor-in-chief Arielle Silver said:
The Gabo Prize was founded more recently by Allie Marini, who previously served on Lunch Ticket as Managing Editor, and Jennifer McCharen, who served as Translation Editor. A cornerstone of Lunch Ticket's mission is to publish diverse work from writers of all walks of life and corners of the globe. We celebrate the art and challenges of bringing poetry and prose from other source languages and cultures into English, so that we all might celebrate the global body of literature. Allie and Jenny are both passionate about supporting the often unsung efforts of literary translators, and also passionate about those writers who write across language barriers. In many ways, our Gabo Prize and Translation sections are the most exciting sections of each issue.
PRIZE: Winners receive $200, and their work, along with the Gabo Prize finalists, is featured in the next issue of Lunch Ticket.
ENTRY FEE: None
FORMS: Prose word count max: 5000. Poetry: 10 pages.
You can find more on the Lunch Ticket website. Send in your entry on the LT Submittable page.
Also, a new translation opportunity from New Pages:
Deadline: September 15, 2017
Apple Valley Review is reading submissions of short fiction, personal essays, and poetry for the Fall 2017 issue (Vol. 12, No. 2). Flash fiction, prose poetry, fabulism, and translations are welcome. Published work is automatically considered for our annual editor's prize, and pieces from the journal have later appeared as selections, finalists, and/or notable/distinguished stories in Best American Short Stories, Best American Essays, Best of the Net, Best of the Web, storySouth Million Writers Award, New Poetry from the Midwest, and Wigleaf's Top 50 (Very) Short Fictions. The current issue, previous issues, and complete submission guidelines are available online. www.applevalleyreview.com
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