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Contact us: 0461 564106 - info@pisoni.it
The Retail Point
Fruit Distillates
The Pisoni family has come a long way, crossing three centuries of history and surviving two world wars.
The origins of the F.lli Pisoni Distillery
The origins of the F.lli Pisoni Distillery fade into the past beyond all memory, as wine making has always been a tradition through all the generations of the Pisoni family. There are records dating back to the Council of Trent (1545-1563) that mention a Carlo Antonio Pisoni as the official supplier of wine and spirits to the court of the Prince-Archbishop, Cardinal Cristoforo Madruzzo.
The photo shows Baldessare Pisoni (1850-1913) and his wife, Angela Poli (died 1925), who married in 1876. The first years of the Twentieth century were serene. These were the years leading up to World War I. Storm clouds approach.
On 28 July 1914, Austria-Hungary declared war on Serbia. On 31 July, a general mobilisation of the army was ordered, and mass conscription was announced. Baldessare Pisoni's family was busy making hay in Lagolo.
Baldassare died just before the great war, and in 1914 all seven of his sons were called to the front, to fight with the Austro-Hungarian army. And so, Father Luigi (1877-1950), Giuseppe (1880-1960), Francesco (1882-1948), Biagio (1885-1961), Eugenio (1887-1914, died on the front), Father Vittorio (1891-1967), Oreste (1894-1973) and Giulio (1895-1973) all went off to war. Even the family's two horses, Derna and Tripoli, also conscripted, were called to the front.
In Lasino, in the Pisoni family's patriarchal home, only two women remained: the mother, Angelina, and her only daughter Maria (1879-1952 - "Aunty Maria"), who never married and remained constantly beside her two brothers who became priests.
The two women also had their own battle to fight. They were not discouraged. Maria immediately learnt to manage the only remaining horse, to control the cattle, and to manage the workers they were forced to hire in the meantime. They harvested the grapes, the corn, the potatoes, and the turnips. And the war continued...
Spring finally arrived. They had to think of the crops to sow, of the silk worms, and again of the harvests, the grape harvests, and making grappa - which at the time they called "acquavita". A year went by this way, then another, then another... for four years. Acquavita was considered so important at that time that Emperor Franz Joseph "graciously" allowed his subjects to produce it freely, for family use, without paying any taxes on it.
In November 1918 the war ended. Even in Lasino the news was welcomed with great joy. Life slowly returned to normality.
Of the eight that went to the front, only seven sons returned to Baldessare Pisoni's family. Eugenio was forever lost in Galicia. The family waited for him in vain for years, under the illusion of his possible imprisonment in Russia.
And, with their new-found peace, the Pisoni brothers dealt with their new lives, each according to their own vocation and skills.
Brothers Oreste and Giulio continued the path their ancestors had begun in the agricultural sector.
The years following the First World War saw the development, at Masi di Lasino, of a new agricultural commitment for brothers Oreste and Giulio Pisoni.
The war left a deep scar in the souls of the two brothers from the mountains. Having left young to face the war, they returned as full-grown men.
A lot of work awaited Oreste and Giulio. They had to take a farm that had been neglected - by necessity - for a long time, and get it up and running again.
The new technologies they had learnt at the Agricultural School in San Michele all'Adige - before leaving for the war - proved invaluable. First and foremost, they worked on the farm in Lasino. They dedicated their time to the fields, the vineyards, and the stable. They refurbished the wine cellar and the small distillery. But they also dedicated a lot of work to the agricultural property located at Masi di Lasino (the area now known as Pergolese). Oreste and Giulio went down to "Sarca" every day, early in the morning, and return to Lasino in the evening, together with a large group of other farmers.
In 1926, Oreste married Bianca Pisoni of Calavino, and in 1927 Giulio married Erminia Segalla of Vigne di Arco.
In 1927, they moved to Masi di Lasino permanently. Oreste and Giulio's two families went to live in the old residential hamlet, next to the mountain, which they had suitably refurbished.
The great financial depression of 1929 had a particularly heavy impact on the lives of Oreste and Giulio. During an initial phase of deflation - in exchange for raw materials purchased at specific prices, and investments in structures - prices for the finished product dropped rapidly. Calculations failed. Nobody was buying anything, because nobody had money. The subsequent period of inflation within the context of the crisis improved things a bit. And even the debts, little by little, were paid off.
The great depression passed, and life on the Pisoni farm returned to normal. The company, which had always been a single unit, found natural and accentuated diversifications as it kept growing: cultivating the fields, running the wine cellar, and running the distillery. Each member of the Pisoni family was capable of interacting within each individual sector. This was the company's great strength. Oreste preferred the agricultural business, Giulio was happier with the management of the company - in administrative terms - especially as concerned the wine cellar and the distillery.
When the Second World War began, with Hitler's invasion of Poland on 1 September 1939 (Italy engaged in the conflict as it declared war on England and France on 10 June 1940), the Pisoni family at Masi di Lasino were not called to fight. Oreste and Giulio were too old, and their children still too young.
During the Second World War, Oreste had six children: Angela, Lucilla, Vittorina, Gino, Franco, and Lodovica. Cecilia was born later. Giulio had four children: Enrica, Arrigo, Vittorio and Giulia. The two families lived under the same roof, and at lunchtime and dinner time they sat around the same table.
Arrigo - who at the time was only a little boy - would later clearly remember the coming and going of cartloads of marc drawn by horses, mules or oxen, and the despair and anger of his father Giulio and his uncle Oreste on finding - in carts coming from all over, and especially from the Giudicarie area - small lots of marc, dried or mouldy, rotten or acescent, that these poor farmers sent to the authorised distilleries.
In spite of the hard times during the war, the families of Giulio and Oreste Pisoni carried on in reasonable serenity. They did not suffer hunger, but they did not prosper either. Polenta was their staple food. Sometimes, the American and English bombers flew over the area, dropping their deadly load. As a precaution, a small air raid shelter was built in the rock next to the distillery. Years later, it became a large and cool cellar, ideal for spumante.
Among the cousins and siblings, natural affinity developed in school, at work, and while playing. In particular, Gino and Arrigo became inseparable. They had many interests in common. They have been always together at school, at work, and in their professional endeavours.
Gino and Arrigo were both born in 1932. They both attended the elementary school at Masi di Madruzzo (which was what they called Masi di Lasino at that time), and in Condino, where their uncle, Father Luigi, took them in. Vittorio - Giulio's third child - was born in 1935.
A few years later, Gino, Arrigo and Vittorio all attended the Agricultural School in San Michele all'Adige. Gino and Arrigo finished the agricultural school in 1949, Vittorio in 1954.
They began an intensive campaign to re-organise the fruit orchards and vineyards. The first specialised fruit orchards and vineyards were established. The old varieties of grapevine were eliminated, and replaced with new types. Space was made for Cabernet, Merlot, and Chardonnay (which was known as "Borgogna giallo", yellow Burgundy, at the time).
New products were studied and created. Wine - which until then had only been sold in bulk - was bottled. New kinds of grappa and acquavite were created. Containers and packaging was renewed.
The still was refurbished in 1935, and was very modern for its time. Entirely in copper, with naturally directed flame, it was equipped with a distillation column and counter. It was therefore possible to distil as much and as often as one wished, and even all in one process.
Beforehand, it had been inside the wine cellar and had a "daily amount".
The old still was refurbished and extended in 1968, during work for the construction of a silo and other service facilities.
During the 1960s, the company underwent another growth spurt. The new generation, under Gino, Arrigo and Vittorio, with increasingly precise and ample duties, contributed to this growth.
The notions and experience acquired in their years at the Agricultural School of San Michele all'Adige were put to good use. And, as happened in the past with their parents, the new company management under these three entrepreneurs was characterised by further diversification of their duties, while all three maintained the ability to interact in each sector: the fields, the wine cellar, and the distillery. This is the philosophy - as we have already mentioned - that has always been at the foundation of the company's activities, giving it its strength.
Gino therefore mainly managed with the vineyards and fruit orchards, while Arrigo looked after the distillery, and Vittorio dealt with clients, transportation, and shipment of their produce.
All other activities - concerning livestock, cereal crops and forage crops - were abandoned.
Between the 1990s and the early 2000s, the two sons of Arrigo(who is still in the company), Elio and Giuliano, together with Vittorio's two sons, Andrea and Francesco, took the reins of the company.
In the early 2000s, the company underwent a radical transformation of its facilities.
In 2004, the new distillery was inaugurated and, on the same occasion, the company celebrated 150 years of business. An important milestone for the Pisoni family, but also a new starting point: a radical renewal of the distillation systems, located in the new wing of the enterprise, fruit of the extension on the existing warehouse building. The new and modern system enables to further improve the quality of the grappa that is produced, as well as the quantity of marc distilled.
All of the four young members of the Pisoni family have earned a university degree and worked and studied abroad.
Each one is now in the company with a specific role.
Elio, who has a degree in business, follows the administrative part and the foreign trade sector.
Giuliano, who has a degree in material engineering, deals with the part concerning the production of grappa, liqueurs and distilled products, and takes care of the productive structure, the distillery, the bottling lines, and the company vehicle fleet.
Andres, who has a degree in Nutritional Science and Technology, is in charge of the sparkling wines sector. Under his careful and skilled leadership, we create our prized Pisoni Trento DOC traditional method sparkling wines.
Francesco, who has a degree in applied cognitive psychology, deals with the commercial part of the business in Italy.
In recent years, new products have been created, and the commercial network has been extended, by relying on a network of agents, which has grown constantly over the years. At the same time, our turnover from foreign customers has increased. Pisoni products are available in various countries all over Europe, as well as in the USA and Canada.
The Pisoni family has come a long way, over 3 centuries of history, overcoming two world wars, a serious financial crisis in the 1930s and one that is just as serious, which started in 2007 and has not yet come to an end.
Our corporate philosophy has always been based on small steps, on always pursuing a policy based on quality, as has been certified for 10 years now by DNV (Det Norske Veritas), in compliance with standard ISO 9001-2008.
Informazions


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This is the best way to get the most precise moving quotes in Jersey City. Moving companies NJ send their representatives to your home or office to have a look at the items you plan to move. Remember to be completely honest to avoid unpleasant surprises. For example, tell them if some of your belongings are more fragile than they look or if there will be more items that are not there at the moment. Even though an in-home estimate is usually free, some companies charge for it.
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Allan's [sic] Store & Post Office, winter of Feb. 1937. [1936 crossed out.] Friends of the Library.
Description On front of photo & top edge: SEP . 68. Similar photo to 528.
Transcription Allan's [sic] Store & Post Office, winter of Feb. 1937. [1936 crossed out.] Friends of the Library.
Physical Description H 3.5" X L 5"


text:
The European Physical Journal A - Hadrons and Nuclei
December 2003 , Volume 18, Issue 4, pp 633–638 | Cite as
Cross-section limits for the 208 Pb(86 Kr,n)293118 reaction
K. E. Gregorich
T. N. Ginter
W. Loveland
D. Peterson
J. B. Patin
C. M. FoldenIII
D. C. Hoffman
D. M. Lee
H. Nitsche
J. P. Omtvedt
L. A. Omtvedt
L. Stavsetra
R. Sudowe
P. A. Wilk
P. M. Zielinski
K. Aleklett
In April-May, 2001, the previously reported experiment to synthesize element 118 using the 208Pb(86Kr,n)293118 reaction was repeated. No events corresponding to the synthesis of element 118 were observed with a total beam dose of 2.6 x 1018 ions. The simple upper-limit cross-sections (1 event) were 0.9 and 0.6 pb for evaporation residue magnetic rigidities of 2.00 Tm and 2.12 Tm, respectively. A more detailed cross-section calculation, accounting for an assumed narrow excitation function, the energy loss of the beam in traversing the target and the uncertainty in the magnetic rigidity of the Z = 118 recoils is also presented. Re-analysis of the primary data files from the 1999 experiment showed the reported element 118 events are not in the original data. The current results put constraints on the production cross-section for synthesis of very heavy nuclei in cold-fusion reactions.
Energy Loss Original Data Data File Current Result Primary Data
Received: 2 September 2002, Revised: 10 April 2003, Published online: 18 November 2003
PACS:
25.70.Gh Compound nucleus - 25.70.Jj Fusion and fusion-fission reactions - 27.90. + b \(220 \leq A\)
Communicated by W. Henning
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1.Nuclear Science DivisionLawrence Berkeley National LaboratoryBerkeleyUSA
2.Department of ChemistryOregon State UniversityCorvallisUSA
3.Department of ChemistryUniversity of CaliforniaBerkeleyUSA
4.University of OsloOsloNorway
5.Uppsala UniversityUppsalaSweden
Gregorich, K.E., Ginter, T.N., Loveland, W. et al. Eur. Phys. J. A (2003) 18: 633. https://doi.org/10.1140/epja/i2002-10165-x
DOI https://doi.org/10.1140/epja/i2002-10165-x

redpajama_set_name: RedPajamaCommonCrawl


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Moms with autism are more likely to experience postnatal depression compared with non-autistic moms, according to a new study.
according to a study published in The Lancet medical journal Friday. And around 1 in 10 had symptoms of probable depression,
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Texans say glitchy voting machines are changing their ballots. The state blames user error.
"Make sure to confirm that your summary page accurately reflects your choices BEFORE casting your ballot!" reads a flier distributed by the Texas secretary of state's election division to state polling locations.
The notice was the agency's quick fix for a glitch in its widely used Hart eSlate voting machines.
Texas native Peter Martin, 69, was one of many who missed the message.
"I've always voted. It's the only opportunity that I have to make any sort of difference in terms of politics," he said.
When the registered independent went to a recreational center in Grapevine, Tex., last week, he planned to vote for Senate hopeful Beto O'Rourke. The Hart machine offered a fast-tracked option for straight-ticket voters. Martin selected it, expecting the machine to populate an all-Democrat ballot.
"It floored me. My vote showed up on the machine for the wrong senator. Instead of Beto O'Rourke — the Democratic candidate — it said [Republican candidate] Ted Cruz," he said. After noticing the error, Martin backtracked to the initial screen and manually registered his vote.
The Texas secretary of state has been aware of the issue for at least a week.
Related: Can Beto O'Rourke really beat Ted Cruz in Texas?
Hart Intercivic, the machines' maker, released a statement in which it said it "proudly stands behind our voting systems and our customers," also praising election officials.
The issue, she said, impacts 5.1 million Texas voters, at a minimum.
Pablos said in a news release Saturday that the machines are working.
"It is important for all voters in the 78 Texas counties utilizing the Hart Intercivic eSlate to understand that the voting machines are not malfunctioning, nor are they arbitrarily "switching" the choices of voters who cast a straight-party ballot," he wrote.
The state has had problematic run-ins with the Hart voter systems in the past, said Sam Taylor, communications director for Pablos. She also confirmed that voters in only five counties had experienced issues with the machines.
During the 2016 election, the agency ran tests on the machines after voters' choices of presidential candidates were deselected. The problem affects only the first race on the ballot. In 2016, that was the presidential race. This year, it's the senatorial contest.
The diagnosis then was that voters were using the selection wheel before the screen finished rendering, Taylor said.
There have been fewer than 20 complaints, Taylor said, and all those affected were able to recast their votes for Senate after discovering the glitch. However, hundreds of Texans might have cast early ballots or failed to double-check before submitting.
The Texas Civil Rights Project reported receiving about a half-dozen complaints, the Texas Chronicle reported. Of them, most were straight-ticket votes for Democratic candidates that appeared in error for Cruz. One was a Republican straight-ticket ballot that tabulated for O'Rourke.
Since the Help America Vote Act of 2002, about 200 Texas counties purchased voting machines; dozens have since updated their equipment, Taylor said. Of the 254 Texas counties, 82 use the Hart eSlate machines.
Correction: An earlier version of this article misidentified Verified Voting as the maker of the Hart machines.


text:
using aura::client::DragDropClient;
using aura::client::DragDropDelegate;
using ui::OSExchangeData;
using ui::OSExchangeDataProviderWin;

namespace {

int ConvertKeyStateToAuraEventFlags(DWORD key_state)
{
  int flags = 0;

  if (key_state & MK_CONTROL)
    flags |= ui::EF_CONTROL_DOWN;
  if (key_state & MK_ALT)
    flags |= ui::EF_ALT_DOWN;
  if (key_state & MK_SHIFT)
    flags |= ui::EF_SHIFT_DOWN;
  if (key_state & MK_LBUTTON)
    flags |= ui::EF_LEFT_MOUSE_BUTTON;
  if (key_state & MK_MBUTTON)
    flags |= ui::EF_MIDDLE_MOUSE_BUTTON;
  if (key_state & MK_RBUTTON)
    flags |= ui::EF_RIGHT_MOUSE_BUTTON;

  return flags;
}

}  // namespace

namespace views {

DesktopDropTargetWin::DesktopDropTargetWin(aura::Window* root_window,
                                           HWND window)
    : ui::DropTargetWin(window),
      root_window_(root_window),
      target_window_(NULL) {
}

DesktopDropTargetWin::~DesktopDropTargetWin() {
  if (target_window_)
    target_window_->RemoveObserver(this);
}

DWORD DesktopDropTargetWin::OnDragEnter(IDataObject* data_object,
                                        DWORD key_state,
                                        POINT position,
                                        DWORD effect) {
  std::unique_ptr<OSExchangeData> data;
  std::unique_ptr<ui::DropTargetEvent> event;
  DragDropDelegate* delegate;
  // Translate will call OnDragEntered.
  Translate(data_object, key_state, position, effect, &data, &event, &delegate);
  return ui::DragDropTypes::DragOperationToDropEffect(
      ui::DragDropTypes::DRAG_NONE);
}

DWORD DesktopDropTargetWin::OnDragOver(IDataObject* data_object,
                                       DWORD key_state,
                                       POINT position,
                                       DWORD effect) {
  int drag_operation = ui::DragDropTypes::DRAG_NONE;
  std::unique_ptr<OSExchangeData> data;
  std::unique_ptr<ui::DropTargetEvent> event;
  DragDropDelegate* delegate;
  Translate(data_object, key_state, position, effect, &data, &event, &delegate);
  if (delegate)
    drag_operation = delegate->OnDragUpdated(*event);
  return ui::DragDropTypes::DragOperationToDropEffect(drag_operation);
}

void DesktopDropTargetWin::OnDragLeave(IDataObject* data_object) {
  NotifyDragLeave();
}

DWORD DesktopDropTargetWin::OnDrop(IDataObject* data_object,
                                   DWORD key_state,
                                   POINT position,
                                   DWORD effect) {
  int drag_operation = ui::DragDropTypes::DRAG_NONE;
  std::unique_ptr<OSExchangeData> data;
  std::unique_ptr<ui::DropTargetEvent> event;
  DragDropDelegate* delegate;
  Translate(data_object, key_state, position, effect, &data, &event, &delegate);
  if (delegate) {
    drag_operation = delegate->OnPerformDrop(*event);
    DragDropClient* client = aura::client::GetDragDropClient(root_window_);
    if (client && !client->IsDragDropInProgress() &&
        drag_operation != ui::DragDropTypes::DRAG_NONE) {
      UMA_HISTOGRAM_COUNTS("Event.DragDrop.ExternalOriginDrop", 1);
    }
  }
  if (target_window_) {
    target_window_->RemoveObserver(this);
    target_window_ = NULL;
  }
  return ui::DragDropTypes::DragOperationToDropEffect(drag_operation);
}

void DesktopDropTargetWin::OnWindowDestroyed(aura::Window* window) {
  DCHECK(window == target_window_);
  target_window_ = NULL;
}

void DesktopDropTargetWin::Translate(
    IDataObject* data_object,
    DWORD key_state,
    POINT position,
    DWORD effect,
    std::unique_ptr<OSExchangeData>* data,
    std::unique_ptr<ui::DropTargetEvent>* event,
    DragDropDelegate** delegate) {
  gfx::Point location(position.x, position.y);
  gfx::Point root_location = location;
  root_window_->GetHost()->ConvertScreenInPixelsToDIP(&root_location);
  aura::Window* target_window =
      root_window_->GetEventHandlerForPoint(root_location);
  bool target_window_changed = false;
  if (target_window != target_window_) {
    if (target_window_)
      NotifyDragLeave();
    target_window_ = target_window;
    if (target_window_)
      target_window_->AddObserver(this);
    target_window_changed = true;
  }
  *delegate = NULL;
  if (!target_window_)
    return;
  *delegate = aura::client::GetDragDropDelegate(target_window_);
  if (!*delegate)
    return;

  data->reset(new OSExchangeData(
      base::MakeUnique<OSExchangeDataProviderWin>(data_object)));
  location = root_location;
  aura::Window::ConvertPointToTarget(root_window_, target_window_, &location);
  event->reset(new ui::DropTargetEvent(
      *(data->get()),
      location,
      root_location,
      ui::DragDropTypes::DropEffectToDragOperation(effect)));
  (*event)->set_flags(ConvertKeyStateToAuraEventFlags(key_state));
  if (target_window_changed)
    (*delegate)->OnDragEntered(*event->get());
}

void DesktopDropTargetWin::NotifyDragLeave() {
  if (!target_window_)
    return;
  DragDropDelegate* delegate =
      aura::client::GetDragDropDelegate(target_window_);
  if (delegate)
    delegate->OnDragExited();
  target_window_->RemoveObserver(this);
  target_window_ = NULL;
}

}  // namespace views

redpajama_set_name: RedPajamaGithub


text:
Q: Rearranging column (descending/ascending) with dplyr without a prior vector The following code can rearrange columns if one has prior knowledge of what columns are available, but what if one wants to rearrange the columns by either desc/ascending order? There are a few similar posts on StackOverflow, but not one that can do so without prior knowledge of what columns are available.
  type value
1  rna     1
2  rna     2
3  rna     3
4  dna    20
5  dna    30

d<- data.frame (type=c("rna","rna","rna"), value = c(1,2,3) )
d2 <- data.frame (type=c("dna","dna"), value = c(20,30) )
df <- rbind (d,d2)

library(dplyr)
df %>%
    group_by(type) %>%
    summarise_all(sum) %>%
    data.frame() %>%
    arrange(desc(value)) %>% # reorder row
    select_(.dots = c("value","type") ) # reorder column

A: sort(names(.)) or rev(sort(names(.))) should work...
d<- data.frame (type=c("rna","rna","rna"), value = c(1,2,3) )
d2 <- data.frame (type=c("dna","dna"), value = c(20,30) )
df <- rbind (d,d2)

library(dplyr)
df %>%
  group_by(type) %>%
  summarise_all(sum) %>%
  data.frame() %>%
  arrange(desc(value)) %>% # reorder row
  select(sort(names(.)))

redpajama_set_name: RedPajamaStackExchange


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An earlier version of the paper was presented to the International Meeting for Autism Research, London, UK, May 2008.
Diminished episodic memory and diminished use of semantic information to aid recall by individuals with autism spectrum disorder (ASD) are both thought to result from diminished relational binding of elements of complex stimuli. To test this hypothesis, we asked high-functioning adults with ASD and typical comparison participants to study grids in which some cells contained drawings of objects in non-canonical colours. Participants were told at study which features (colour, item, location) would be tested in a later memory test. In a second experiment, participants studied similar grids and were told that they would be tested on object-location or object-colour combinations. Recognition of combinations was significantly diminished in ASD, which survived covarying performance on the Color Trails Test (D'Elia et al. Color trails test. Professional manual. Psychological Assessment Resources, Lutz, 1996 ), a test of executive difficulties. The findings raise the possibility that medial temporal as well as frontal lobe processes are dysfunctional in ASD.
Bowler, D. (2007). Autism spectrum disorders: Psychological theory and research. Chichester, UK: Wiley.
Craik, F. I. M., & Anderson, N. (1999). Applying cognitive research to the problems of ageing. Attention and Performance, 17, 583–615.
D'Elia, L. F., Satz, P., Uchiyana, C. L., & White, T. (1996). Color trails test. Professional manual. Lutz, FL: Psychological Assessment Resources.
Ishihara, S. (1999). Ishihara's tests for colour deficiency: 38 plates edition. Tokyo, Japan: Kanehara and Co., Ltd.
Snodgrass, J. G., & Vanderwart, M. (1980). A standardized set of 260 pictures: Norms for name agreement, familiarity and visual complexity. Journal of Experimental Psychology: Human Learning and Memory, 6, 174–215.
Volkmar, F. R., & Klin, A. (2000). Diagnostic issues in Asperger synrome. In A. Klin, F. R. Volkmar, & S. Sparrow (Eds.), Asperger syndrome. New York: Guilford Press.
Does Language Guide Behavior in Children with Autism?


Could she possibly be Alyssah Ali?
I've now updated accordingly (thanks very much to everyone who had any suggestion), but if anyone whatsoever has any ideas whatsoever who any of the remaining ones are, esp. #1, 2, & 12, it'll be tremendously appreciated - THANKS very much, as always.
#1 is esp. driving me crazy since I'm absolutely certain that I've seen her before, but I just can't remember where. Maybe in JCPenney ads (flyers/fliers/circulars) for at least the last couple years or so?
And doesn't #12 look as if she could be Alyssah Ali?
If anyone whatsoever could at least confirm that, it'll be tremendously appreciated - THANKS VERY MUCH, as always!
Thanks for that, Catullus. Since Shannon Hughes apparently isn't #1, does anyone at all feel that there are any chances whatsoever that #1 could actually be Asha Leo? Or not even slightly possible?


Ever since its first public concert May 4, 1947, the Ojai Music Festival has featured the most significant classical music composers of the day. Igor Stravinsky, Aaron Copland and Pierre Boulez all found their way to Ojai and played a significant role in transforming the rustic festival into an internationally recognized, noteworthy event.
This year's four-day festivities starting Thursday will primarily reflect the influence of two distinctly different creative personalities: festival music director/choreographer Mark Morris and Lou Harrison, one of the West Coast's most unique composers who died in 2003 at the age of 85.


"Koryo" is the name of an early kingdom which is the source of the English name "Korea". It is also used in the name of the North Korean airline, Air Koryo. The Koryo Hotel replaced an older hotel of the same name, but in a different location.
You can explore Bucheon from this 3.5-star business-friendly hotel while enjoying free WiFi, free parking, and a restaurant. You'll also want to check out Sangdong Lake Park and Woongjin Play City, located nearby. Our guests praise the helpful staff and the clean rooms. Discover the best prices for The Koryo Hotel – book now.


Rack of lamb slathered in a savory, mustard-based sauce and covered in a garlic based rub perfect for special occasions.
Light cooker according to instructions. We recommend opening up the intake all the way to let the cooker get extra hot. The top thermometer should read at least 300 degrees.
While the cooker is heating up, prep the meat by trimming any excess fat.
Mix the seasonings (minus the chunky garlic rub) with the mustard and Worcestershire sauce.
Hook inserted into the rack of lamb.
Once ingredients are mixed, insert a hook about 3 bones down closer to the thick part of the meat.
Slather the mustard sauce on all sides of the lamb.
Coat the lamb with the chunky garlic-based rub and lightly press in on all sides. This provides extra flavor and texture.
Slathering the lamb in the mustard sauce.
Rack of lamb hanging in the Barrel House Cooker.
Hang the rack of lamb in the cooker on the H-Frame on the top level. If cooking a side dish on the grate in the middle level, the lamb may be resting slightly on the grate.
After 30 minutes, check the internal temp of the meat. For medium-rare, the meat should be 130 degrees. If you plan to reverse sear the lamb, take it off when it reaches about 125 degrees. If you want it more done, let it cook a bit longer before removing from the cooker.
If you'd like to reverse sear the lamb, remove it from the cooker when it's close to being done and take the barrel off the base. Place the grate on the base to form a hibachi grill.
Place the lamb on the hibachi and grill it for a couple minutes on both sides.
Reverse searing the rack of lamb using the hibachi feature.
Finished, sliced rack of lamb.
Remove it from the grill, set it on a cutting board or tray, and cover it to let it rest for 10-15 minutes.
Slice it in-between the bones, and serve!


text:
Q: Randomly split a sample into 3 representative groups I have a list of customers (n=23,805) that I need to allocate into 3 groups.
Each group should be representative of the overall customer characteristics:

*

*state

*gender

*age group

*customer type

I'm using this solution that works to divide the list in 2 equally sized groups:
how to split data in R by particular criteria
This is what I have so far
library(tidyverse)
data <- [list of customer info]

s1 <- data %>% group_by(customer_type, state, gender, age_group) %>%
    slice_sample(prop = 0.33333) %>% ungroup()

This gives me the first sample representative of the customer list at the right size (n=7,663)
Now to figure out how to split the remainder
#grab the remainder
remainder <- anti_join(data, s1, by = "number")

given that the remainder is actually two-thirds, it should be just a matter of splitting it 2 representative groups:
s2 <- remainder %>% group_by(customer_type, state, gender, age_group) %>%
    slice_sample(prop = 0.5) %>% ungroup()

remainder <- anti_join(remainder, s2, by = "number")
s3 <- remainder

However, the sample size for s2 and s3 are 7,900 and 8,242.
The problem is that the basis of representation for s2 is based on two-thirds of the list rather than the whole.
How do I ensure s2 is representative of the whole list and excludes anyone randomly allocated to s1?
NOTE 1:
Thanks to Roman's suggestion, I've looked at the caret package which seems to work:
library(caret)

a1 <- createDataPartition(paste(data$customer_type, data$state, data$gender, data$age_group), p = 0.3333, list = FALSE)
s1 <- data[a1, ]
a2 <- createDataPartition(paste(data$customer_type, data$state, data$gender, data$age_group)[-a1], p = 0.3333, list = FALSE)
s2 <- data[a2, ]
a3 <- createDataPartition(paste(data$customer_type, data$state, data$gender, data$age_group)[-a1][-a2], p = 0.3333, list = FALSE)
s3 <- data[a3, ]

However the 3 samples are not equally sized: s1 = 8,126, s2 = 5,345, s3 = 10,383. I think the issue is that not all customers have data in each field.
NOTE 2:
I've subset the my dataframe to include only those with data in the relevant fields (n=22,834). So the 3 samples should be approx. 7,612 records.
Re-running the code from Note 1 achieves s1 = 7,728, s2 = 5,118, s3 = 3,409 which is better but not equal and not the total sample that could be grouped.


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The idea of genre is nothing new. The idea of Horror is something uniquely human that took off in various forms around Galactic Society. An entertainment designed to scare, but not scare badly. Or to be really bad at scaring, depending on your point of view. It was a means by which Havenworlders could toughen up their genes and join larger and larger areas of Galactic Society.
And since it was a human genre, the humans eventually found what Galactic Society had done to it. Which lead to a re-revival of the movie theatre, since most of the genre were in non-holographic format.
Rael wasn't in it to study humans. If you asked anyone, they would have said that he understood humans too well. He was in it for the popcorn, and to potentially stop Ambassador Shayde before she happened to anyone else. And right now, she was enjoying a Gyiik-sized bucket of a concoction called poppycock. A mixture of popcorn, nuts, butter toffee, and random treats that Nik had taken to like an amphibian to water. And, Rael had to grudgingly admit, it was more or less the food of the non-existent gods, as far as his metabolism was concerned.
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Rear office/store/kitchen 15.4 sq m (165 sq ft) fitted with stainless steel sink unit, part tiled walls, worktop, wood laminate flooring. Door to small lobby with door to cloakroom having low level wc plus hand basin.
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Ballin' for The Banner
Written by Lucas Lennox |
Photos by Amber Vuilleumier |
Boys Basketball Captain Senior Dylan Ketch is striving to be the first player on the boys 1000 point banner since 2006. Almost 10 years!
Dylan has had very solid growth over his high school career. Since his sophomore year, he has increased his points per game from 11.5 all the way up to 20.8.
When asked about the large bump in scoring, Dylan had this to say, "My teammates give me the ball in great scoring position almost every pass, making it really easy to either score or put the ball back in rotation." Dylan is one of the most confident, and when needed, resilient players I've witnessed . When he's having trouble getting the ball to drop, he doesn't shoot at will until he scores. He will look for smart passes to get a pass back to a great scoring position, whether from deep or a filthy layup in the opponent's throat.
As of February 19, 2016, Dylan sits at 916 points in the books. Dylan commented on how close he is to this feat: "It's an incredible feeling being in this spot in the sport I love the most, just thinking back 4 years ago being a freshman with nothing to show ."
With at least three games left in his final season, Dylan exclaimed how he knows it will be a challenge with some tough competition, but in the end he is excited and confident that his name will remain in Morgan history for a long time to come.
#basketball
morgan sports
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Quick, what's the most seismically active state? If you guessed California, you're wrong.
Are we ready for the next big earthquake in Istanbul?
How good is Swiss Re's landslide modelling approach?
Does Delhi need to worry about far-field earthquakes?


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Q: How to access Hive using a Java API http://wiki.apache.org/hadoop/Hive/HiveJDBCInterface - Is there a higher level ORM interface than the Hive JDBC driver which we can use to run the queries and parse the results

A: No. The "R" in ORM stands for a "relational database". Hive is a NOSQL databse, not a relational database. It's a huge advantage of Hive comparing to many other NOSQL databases that you can access it using (almost) normal SQL and using (almost) full featured standard JDBC interface. But if you are thinking about using ORM and Hive together, you might be approaching your problem from an incorrect angle.
EDIT 6/4/13: Here's a quote from Wikipedia: In the relational model, each table schema must identify a primary column used for identifying a row called the primary key. Tables can relate by using a foreign key that points to the primary key.
Hive does not support neither foreign nor primary keys, so it is not a relational database.
I would like to thank the downvoter for giving me an opportunity to doublecheck the reasoning that led to making my original statement.

A: Hive is an eco-system component on top of Hadoop. It is not either a RDBMS or NOSQL Databases, it is just way of writing MapReduce programming on top of HDFS(filesystem).
Hive is created inorder to make developer friendly one who have sql knowledge can easily run MapReduce with just writing an sql kind of statements. The MapReduce can be expressed as an sql where Hive engine convert them to MapReduce using Driver.
Hive make division of storage and its structure using metastore.
Metastore is simple RDBMS, like any other RDBMS we can connect to it and make an sql statement on top of this.Once we made an HQL statement on Metastore, the metastore have a capability to tell underline Hive engine to execute HQL statement and gives back the result as a resultset.


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Home » ICT4D Bibliography » Works » Diverging patterns of interaction around news on social media: insularity and partisanship during the 2018 Italian election campaign
Diverging patterns of interaction around news on social media: insularity and partisanship during the 2018 Italian election campaign
Giglietto, F., Valeriani, A., Righetti, N. & Marino, G. (2019). "Diverging patterns of interaction around news on social media: insularity and partisanship during the 2018 Italian election campaign". In Information, Communication & Society, Published online: 17 Jun 2019. London: Routledge. Retrieved June 22, 2019 from https://doi.org/10.1080/1369118X.2019.1629692
Work data:
Type of work: Article (academic)
e-Democracy | Participation
The paper considers how social media ecologies are affecting partisan engagement around political news and online attention economies by investigating the case of the 2018 Italian general election. By analyzing Twitter and Facebook interactions around political news in the lead-up to the election, we shed light on levels of insularity characterizing sources preferred by different partisan communities and investigate how specific patterns of active attention emerge around different sources and around stories proposing different framing of specific political actors. Our findings indicate that, on Twitter, sources mainly shared by supporters of populist parties (the Five Star Movement and the League) are characterized by higher levels of insularity compared to those shared by supporters of other parties. We also find that, on Facebook, news items published by highly insular sources receive a higher number of shares per comment. Finally, our analyses show that news presenting a positive framing of the Five Star Movement – the unique 'cyber party' in the system – receives a higher number of shares per comment compared to items presenting the Movement in a negative light, while the opposite is true for stories on all other political parties.
ICT4D Bibliography
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Sortition and its Principles: Evaluation of the Selection Processes of Citizens' Assemblies
Revista Vasca de Gestión de Personas y Organizaciones Públicas