In this dialog, list the users who should be migrated to the Zmail mailbox server.
You can select users with either of the following applications:
Object Picker, to select individual accounts to migrate to Zmail.
Query Builder, to select groups of accounts to migrate to Zmail.
When importing accounts, the migration wizard assumes that:
Imports are by a single domain. For example, you might import users from marketing.domain.com on your Exchange server to zmail.domain.com on your Zmail server.
The user’s Common Name ( CN) in Exchange will be the first portion of the email address on the Zmail server. To continue the above example, a user who has an account for<EMAIL_ADDRESS>on Exchange would become<EMAIL_ADDRESS>on your Zmail server.
Click Object Picker to select specific accounts to migrate.
Note: For Exchange, the Object Picker is a Windows standard dialog. For more Help to complete these dialogs, click the ?.
In the dialog, the Object Type is pre configured with the object type, Users. This cannot be changed.
Click Locations, to select the domain from which to select the accounts.
In the Enter object names text box, type a user name or partial user name and click Check Names. Separate the names with a comma. For example, if you type Jo, all names that begin with Jo are displayed, i.e., Joe Smith, Joseph Flanders, Joanna Writh. Select one or more of the names and click OK.
When using the Domino Wizard, separate the list with a pipe '|'.
You can continue to use the Object Picker to add more names. When complete, click OK.
If you type the names and email addresses instead of using Check Names, separate entries with commas.
When all the names are displayed in the Source and Destination Mailboxes dialog, click Next.
The Wizard now checks to see if the accounts selected exists on the Zmail server.
Click Query Builder to select groups of accounts to migrate.
When the Select Users dialog appears, click Locations, to select the domain from which to select the accounts.
Type the user names or partial user names, separate names with a comma. Click Check Names.
Click OK, when the names are listed.
In the Active Directory Query Builder dialog, click Browse to select the base distinguished name ( DN) of the container to be used as the root for the search. If you want all folders under the selected DN base to be included in the migration, check Subtree.
To construct a filter to identify which mailboxes to import, click Create. A standard Window’s database query is displayed in the Filter box.
Click OK. The Source & Destination Mailboxes dialog now displays the Zmail account names, the Exchange Store DN information and the Exchange server DN information. Review the information.
To remove accounts that should not be migrated, click Remove. Click Next, to continue.
The Wizard now checks to see if the accounts selected exists on the Zmail server.
The steps above are for the Exchange 6.0 Query Builder dialog. If you are migrating from Exchange 5.5, the Query Builder dialog is different. You must enter the search base for the LDAP query and you must construct the filter to identify which mailboxes to import.


Copyright (c) ? Marcus Salo
This game is played on an empty 1x9 board. Each player has 4 stones off board.
|
| An example Green's turn. He moves d1e1. Then, Red must capture f1:d1 and Green wins by moving his last stone at a1 to b1. |
Some words from the author: I think I have created the simplest strategy game. I call it Motala Strom (isn't that a really catching and commercial name), that is the river that flows through my beloved Norrkoping, Sweden. [...] I have tested this game with Zillions thousands of time and to my surprise, it seems to work and actually be very challenging and have a lot of depth and strategy.


One time binding for the id dom tag.
Important Note!
If the id tag passed as a parameter does
not contain the grid id as a substring
then the directive will search the scope and the parent controller (if it is a uiGridController) for the grid.id value.
If this value is found then it is appended to the begining of the id tag. If the grid is not found then the directive throws an error.
This is done in order to ensure uniqueness of id tags across the grid.
This is to prevent two grids in the same document having duplicate id tags.


This square is 100x100 and has a 100x200 linear gradient as its background image. When you hover over it, the background image is slid up, revealing the bottom half of the gradient.
Here's a bigger square with the same background properties.
This gradient is diagonal and has a color stop in it.


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Apt. 4B
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John Smith
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Shipped To:
Jane Smith
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Payment Method:
Visa ending **** 4242
<EMAIL_ADDRESS>Visa ending **** 4242
<EMAIL_ADDRESS>Order Date : March 7, 2014
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Order summary
| Item | Price | Quantity | Totals |
| BS-200 | $10.99 | 1 | $10.99 |
| BS-400 | $20.00 | 3 | $60.00 |
| BS-1000 | $600.00 | 1 | $600.00 |
| Subtotal | $670.99 | ||
| Shipping | $15 | ||
| Total | $685.99 |


-
Getting started with local web development using Docker on the Mac
Docker makes it easier to create a scalable local web development environment.
-
ES6 and beyond
Look at the new ES6 features, builtins, fat arrow functions.
Docker makes it easier to create a scalable local web development environment.


trivially copyable pair, similar to std::pair
More...
#include <orbtree_node.h>
|
|
| trivial_pair (const T1 &x, const T2 &y) |
| |
|
| trivial_pair (const T1 &x, T2 &&y) |
| |
|
| trivial_pair (T1 &&x, const T2 &y) |
| |
|
| trivial_pair (T1 &&x, T2 &&y) |
| |
|
| trivial_pair (const std::pair< T1, T2 > &p) |
| |
|
| operator std::pair< T1, T2 > () const |
| |
|
| operator trivial_pair< const T1, T2 > () const |
| |
template<class T1, class T2>
struct orbtree::trivial_pair< T1, T2 >
trivially copyable pair, similar to std::pair
The documentation for this struct was generated from the following file:


| select_helpers {gtsummary} | R Documentation |
Set of functions to supplement the tidyselect set of functions for selecting
columns of data frames. all_continuous()
, all_categorical()
, and
all_dichotomous()
may only be used with tbl_summary()
, where each variable
has been classified into one of these three groups. All other helpers
are available throughout the package.
all_continuous() all_categorical(dichotomous = TRUE) all_dichotomous() all_numeric() all_character() all_integer() all_double() all_logical() all_factor()
dichotomous |
Logical indicating whether to include dichotomous variables.
Default is |
A character vector of column names selected
select_ex1 <- trial %>% select(age, response, grade) %>% tbl_summary( statistic = all_continuous() ~ "{mean} ({sd})", type = all_dichotomous() ~ "categorical" )


MARS ATTACKS! A film review by Chuck Dowling Copyright 1996 Chuck Dowling
Mars Attacks! (1996) ***** out of ***** - C:Jack Nicholson, Glenn Close, Annette Bening, Martin Short, Danny DeVito, Rod Steiger, Pierce Brosnan, Sarah Jessica Parker, Michael J. Fox, Jim Brown, Pam Grier, Joe Don Baker, Natalie Portman, Christina Applegate, Lisa Marie, Tom Jones.
This is director Tim Burton's finest film to date. Many will compare this tale of Martians who invade Earth to Independence Day, but even though the stories are similar, they really are two distinctly different films. However as a whole, Mars Attacks is much more entertaining than ID4, and I loved ID4.
You really have to be in the right frame of mind to enjoy this film. It is completely wacked-out and unlike anything you've ever seen. Once the silly tone of the film is set, it's easy to just sit back and throw logic out the window because logic and comedy just don't mix.
The plot is simple: Martians invade the Earth. But it's different than any other invasion film. Usually it's the evil aliens versus the heroic humans. This time however, it's the goofy aliens versus the equally goofy humans. The Martians, who are all computer generated, are just about the funniest things I've seen in a long time. They look funny, they move funny, and their "language" is hilarious.
And about the special effects. The effects in Mars Attacks! are just about the most flawless ones I've seen to date. The computer animation of the martians combined with the goofy personalities they are given makes them seem 100% real.
There are just a couple of scenes that don't work, mainly those involving Sarah Jessica Parker and Pierce Brosnan on board an alien ship. Also, Glenn Close overacts tremendously in her (thankfully) very limited screen time, so much so that I actually applauded silently when her character meets her demise. But there are many big laughs in the film, as I said, if you are in the right mood. Could it have been funnier? Certainly. Was it funny enough? Yes. Was I entertained? Absolutely.
On a personal note, I'd like to thank whomever cast Rod Steiger (my favorite actor) in the film as war-crazy General Decker. Finally, after many very small parts in direct to video garbage and minor TV roles, Steiger is back on the big screen in a real movie that many people will see. While he's not given the type of role that you can give a real "performance" in, he does the job well and has some good lines of dialogue. The preview audience I saw the film with really seemed to enjoy him.
-- Chuck Dowling Visit Chuck's Movie Reviews at http://users.southeast.net/~chuckd21/ Over 1,600 movies rated and/or reviewed! Movie news, box office reports, film related links, and reader's polls and reviews.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Studied piano and composition in Belgium at the Academies of Lokeren and Sint-Niklaas, and in the USA at Dartmouth College.
Winner of JMI’s 75 Years Call for Composers (2021), Peter Benoit Prize in composition for orchestra (2021), second prize in composition at the Belvedere Festival in Memphis, Tennessee (2018), winner of the composition competition for cello orchestra at the Cellofestival Dordrecht (2013), one of six nominees for the choral composition competition "Ook jouw stem telt" (2011), first prize in composition in the Dexia Classics competition (2009), double finalist in the composition competition "Op weg naar het nieuwjaarsconcert" by the Nederlands Blazers Ensemble (2007, 2006).
Selected for the 24th International Choral Festival CRO PATRIA 2020 competition for new choral compositions (2020), three works selected in the London Festival of Contemporary Church Music Call for Scores (2020), three works selected for performance at the opening of the Firstsite contemporary art gallery in Colchester, United Kingdom (2011).


Make no mistake: this is not a spinning top! This is a piece of art. A masterpiece of elegance and precision. A precious heirloom you will be proud to use and pass down to your children when the time comes.
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At EverSpin we take the spinning business very seriously. We strive to earn your trust, and this is why we've been in business for the past 247 years.
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Juno <IP_ADDRESS> is a moderate update.
- Improved error handling.
- New
ParserContext.PARSER_debugand SerializerContext.SERIALIZER_debug.
settings for logging additional information for debugging problems.
- New
SERIALIZER_ignoreRecursions setting for explicitly ignoring recursions when
serializing models. Previously, the SERIALIZER_detectRecursions setting did this but now it simply looks for recursions
and throws exceptions when they occur.
- Improved handling of StackOverflowErrors. When SERIALIZER_detectRecursions is enabled, a useful error message
is displayed showing the exact chain of objects that resulted in the stack overflow.
- Bug fixes in {@link oaj.dto.ResultSetList} for Oracle and SQL Server.
- Serializers and parsers can now access HTTP request attributes, parameters, and headers through SerializerContext.getProperties() and
ParserContext.getProperties().
- Removed media-type and encoding attributes from
SerializerContext and ParserContext
since these are now available through context properties, and are typically not used.
- {@link oaj.xml.XmlParser} now accepts application/xml.
- Improved handling of bean property serialization when multiple matching pojo filters for the bean property class exist.
- Improved concurrency on BeanContext class.
- Fixed bug in
Traversable that was causing it to be executed even if the servlet extra path info was empty.
- Fixed bug in
Traversablewhere it was not picking up filters and properties defined on REST Java methods.


What is Your Spirit Animal?
Question 1:
Which part of the month were you born in?
1st-10th
11th-20th
21st-31st
Next Question
Question 2:
Would you rather..?
Own 10 parrots
Own 10 ferrets
Next Question
Question 3:
Does raw fennel remind you of Sideshow Bob?
Yes
No
Next Question
Question 4:
Which do you prefer?
Black Licorice
Candy Corn
Next Question
Question 5:
Which is the right way to have a bowl of cereal?
Pour cereal in the bowl first, top with milk
Pour milk in the bowl first, top with cereal
Tell me my spirit animal!


Img
- src
- utilities
- img.scss
Class list
- .responsive
- .fill-width
- .fit-contain
- .fit-cover
- .fit-none
Description
Use the above classes on an img element.
Responsive
The .responsive class makes it so that the element it's applied to has a maximum width equal to 100% of its parent element.
Fill width
The .fill-width class makes to so that the element it's applied to is always has a width equal to 100% of its parent element.
Object Fit
The .fit- related classes are to be used on an img element whose width and height have been set. They determine how to adjust the image itself to fit into the dimensions provided.


Performance on baseline datasets¶
We present here three examples to test reval
performance. Code can be found in
relative_validation_clustering/working_examples folder.
N = 1,000 Gaussian blob samples with 10 features divided into 5 clusters (code in
blobs.py
);
2. N = 1,000 Gaussian blob samples with 10 features divided into 5 clusters with noise parameter cluster_std
set at 3 (code in blobs.py
);
N = 28,000 samples from the MNIST handwritten digits dataset (code in
mnist.py
).
Gaussian blobs¶
from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import AgglomerativeClustering
from sklearn.metrics import zero_one_loss, adjusted_mutual_info_score
from reval.visualization import plot_metrics
import matplotlib.pyplot as plt
from reval.relative_validation import _kuhn_munkres_algorithm
Generate sample dataset and visualize blobs (only the first two features).
data = make_blobs(1000, 10, 5, random_state=42)
plt.scatter(data[0][:, 0],
data[0][:, 1],
c=data[1], cmap='rainbow_r')
We select hierarchical clustering with k-nearest neighbors classifier for number of cluster selection.
classifier = KNeighborsClassifier()
clustering = AgglomerativeClustering()
Then we split the dataset into a training and test sets at 30%. We stratify for class labels.
X_tr, X_ts, y_tr, y_ts = train_test_split(data[0],
data[1],
test_size=0.30,
random_state=42,
stratify=data[1])
Apply reval
with 10-fold cross-validation,
100 random labeling iterations, and number of clusters varying from 2 to 6. We then plot model performance
using the function plot_metrics
from the reval.visualization
module.
findbestclust = FindBestClustCV(nfold=10,
nclust_range=[2, 7],
s=classifier,
c=clustering,
nrand=100)
metrics, nbest, chk_dist = findbestclust.best_nclust(X_tr, y_tr)
out = findbestclust.evaluate(X_tr, X_ts, nbest)
plot_metrics(metrics, title="Reval performance")
We obtain that the best number of clusters returned by the model is 5 (see performance plot).
Normalized stability in validation is 0.0 (i.e., perfect prediction) and test set accuracy is equal 1.0.
We are now interested into comparing the clustering labels from the test set with the true labels. Hence, we first apply Kuhn-Munkres algorithm to permute the labels returned by the model. This because they may not be ordered as the true labels and lead to an unreliable classification error.
perm_lab = _kuhn_munkres_algorithm(y_ts, out.test_cllab)
Then we compute the classification accuracy and the adjusted mutual information score (AMI) to compare two partitions (this score is independent of label permutations):
print(f"Test set external ACC: "
f"{1 - zero_one_loss(y_ts, perm_lab)}")
print(f'AMI = {adjusted_mutual_info_score(y_ts, out.test_cllab)}')
We obtain 100% accuracy and AMI equal to 1.0, see the following scatterplot for visualization of predicted labels.
Gaussian blobs with noise¶
Let us now consider a synthetic dataset of 1,000 samples and 10 features with added noise. We set the number of
clusters to 5, as previously. In the following, we will observe how the number of clusters returned by reval
method is highly influenced by noise. We will show the importance of data pre-processing steps
(e.g., PCA, UMAP for clustering) when applying this method.
data_noisy = make_blobs(1000, 10, 5, random_state=42, cluster_std=3)
plt.scatter(data_noisy[0][:, 0],
data_noisy[0][:, 1],
c=data_noisy[1],
cmap='rainbow_r')
Xnoise_tr, Xnoise_ts, ynoise_tr, ynoise_ts = train_test_split(data_noisy[0],
data_noisy[1],
test_size=0.30,
random_state=42,
stratify=data_noisy[1])
metrics_noise, nbest_noise, chk_dist_noise = findbestclust.best_nclust(Xnoise_tr, ynoise_tr)
out_noise = findbestclust.evaluate(Xnoise_tr, Xnoise_ts, nbest_noise)
plot_metrics(metrics_noise, title="Reval performance")
We observe that the best number of clusters selected is equal to 2, which does not reflect the true label distributions of the synthetic dataset, although the misclassification performance during training is equal to 0 (see performance plot and scatterplot with predicted labels for the test set).
ADI score and accuracy value suggest that the model generalizes poorly on test set.
AMI = 0.59, ACC = 0.4
Uniform Manifold Approximation and Projection for Dimensionality Reduction (UMAP; McInnes et al., 2018) is a
topology-based dimensionality reduction tool that can be used to pre-process data for clustering
(see link). Applied to our noisy dataset with
suggested parameters we obtain that clusters are correctly identified visually as dense and separated blobs,
that reval
now easily identifies.
McInnes, L, Healy, J, UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction, ArXiv e-prints 1802.03426, 2018.
from umap import UMAP
transform = UMAP(n_components=10, n_neighbors=30, min_dist=0.0)
Xtr_umap = transform.fit_transform(Xnoise_tr)
Xts_umap = transform.transform(Xnoise_ts)
plt.scatter(Xtr_umap[:, 0], Xtr_umap[:, 1],
c=ynoise_tr, cmap='rainbow_r')
plt.title("UMAP-transformed training set with true labels")
plt.scatter(Xts_umap[:, 0], Xts_umap[:, 1],
c=ynoise_ts, cmap='rainbow_r')
plt.title("UMAP-transformed test set with true labels")
Hereafter, we display UMAP pre-processed training and test sets. We fit the UMAP dimensionality reduction technique on the training set and then applied it to the test set to avoid inflation of performance scores on the test set.
Now we apply reval
method to the transformed dataset.
metrics, nbest, _ = findbestclust.best_nclust(Xtr_umap, ynoise_tr)
out = findbestclust.evaluate(Xtr_umap, Xts_umap, nbest)
plot_metrics(metrics, title='Reval performance of UMAP-transformed dataset')
perm_noise = _kuhn_munkres_algorithm(ynoise_ts, out.test_cllab)
print(f"Best number of clusters: {nbest}")
print(f"Test set external ACC: "
f"{1 - zero_one_loss(ynoise_ts, perm_noise)}")
print(f'AMI = {adjusted_mutual_info_score(ynoise_ts, out.test_cllab)}')
print(f"Validation set normalized stability (misclassification): {metrics['val'][nbest]}")
print(f"Result accuracy (on test set): "
f"{out.test_acc}")
plt.scatter(Xts_umap[:, 0], Xts_umap[:, 1],
c=perm_noise, cmap='rainbow_r')
plt.title("Predicted labels for UMAP-preprocessed test set")
We obtain that 5 clusters are identified (see performance plot) with:
ACC = 1.0; Normalized stability: 0.0 (0.0, 0.0)
Comparing clustering solution (see scatterplot below) with true labels we obtain:
AMI = 1.0; ACC: 1.0
MNIST dataset¶
Remark: Estimated execution time (Mac Book Pro 2019, Processor 2,6 GHz 6-Core Intel Core i7, Memory 16 GB 2667 MHz DDR4) ~403.28 s
From sklearn.datasets
we can import fetch_openml
to load MNIST dataset. This dataset includes 70,000
28X28 images of 10 hand-written digits from 0 to 9. To speed up computations we select 14,000 samples that are
divided into training and test sets at 50%. Then, we pre-processed these images with UMAP to reduce the
number of features (from 784 to 10), see scatterplots below.
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from reval.best_nclust_cv import FindBestClustCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cluster import AgglomerativeClustering
from sklearn.metrics import zero_one_loss, adjusted_mutual_info_score
import matplotlib.pyplot as plt
from umap import UMAP
from reval.visualization import plot_metrics
from reval.relative_validation import _kuhn_munkres_algorithm
# MNIST dataset with 10 classes
mnist, label = fetch_openml('mnist_784', version=1, return_X_y=True)
transform = UMAP(n_neighbors=30, min_dist=0.0, n_components=10, random_state=42)
# Stratified subsets of 7000 elements for both training and test set
mnist_tr, mnist_ts, label_tr, label_ts = train_test_split(mnist, label,
train_size=0.1,
test_size=0.1,
random_state=42,
stratify=label)
# Dimensionality reduction with UMAP as pre-processing step
mnist_tr = transform.fit_transform(mnist_tr)
mnist_ts = transform.transform(mnist_ts)
plt.scatter(mnist_tr[:, 0],
mnist_tr[:, 1],
c=label_tr.astype(int),
s=0.1,
cmap='rainbow_r')
plt.title('UMAP-transformed training subsample of MNIST dataset (N=7,000)')
plt.scatter(mnist_ts[:, 0], mnist_ts[:, 1],
c=label_ts.astype(int), s=0.1, cmap='rainbow_r')
plt.title('UMAP-transformed test subsample of MNIST dataset (N=7,000)')
We now apply reval
with 10-fold cross-validation, number of clusters ranging from 2 to 11 and random
labeling iterated 100 times.
classifier = KNeighborsClassifier()
clustering = AgglomerativeClustering()
findbestclust = FindBestClustCV(nfold=10, nclust_range=[2, 12],
s=classifier, c=clustering, nrand=100)
metrics, nbest, _ = findbestclust.best_nclust(mnist_tr, label_tr)
out = findbestclust.evaluate(mnist_tr, mnist_ts, nbest)
plot_metrics(metrics, "Relative clustering validation performance on MNIST dataset")
perm_lab = _kuhn_munkres_algorithm(label_ts.astype(int), out.test_cllab)
plt.scatter(mnist_ts[:, 0], mnist_ts[:, 1],
c=perm_lab, s=0.1, cmap='rainbow_r')
plt.title("Predicted labels for MNIST test set")
print(f"Best number of clusters: {nbest}")
print(f"Test set external ACC: "
f"{1 - zero_one_loss(label_ts.astype(int), perm_lab)}")
print(f'AMI = {adjusted_mutual_info_score(label_ts.astype(int), perm_lab)}')
print(f"Validation set normalized stability (misclassification): {metrics['val'][nbest]}")
print(f"Result accuracy (on test set): "
f"{out.test_acc}")
We obtain that the algorithm returns 6 as the best number of clusters (see performance plot). Comparing true and predicted labels we obtain a good AMI score, but a low accuracy score:
AMI = 0.70; ACC = 0.58
Whereas performance metrics during validation (normalized stability: mean 95% CI) and on test set (ACC) are low and high, respectively.
Normalized stability: 0.002 (0.0, 0.003); ACC = 0.99
We observe that the classes correctly identified are those that after UMAP reduction show good cohesion and separation, which is why the model performance is good. On the contrary, clusters that are closer together receive the same labels (see scatterplot below) and are misclassified. This lowers the external ACC score although returning a high AMI score, which is based on cluster overlaps.
In these situations attention should be put in:
Choosing the right clustering algorithm;
Pre-processing steps;
Whether
reval
is the right method to use with the data at hand (e.g., very noisy dataset with unknown labels).


--- layout: data_model title: WindowsThreadObjectType this_version: 1.1.1 ---
The Windows_ThreadObjectType is intended to characterize Windows process threads. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms684852(v=vs.85).aspx.
| Field Name | Type | Description |
|---|---|---|
| @object_referenceoptional | QName |
The object_reference field specifies a unique ID reference to an Object defined elsewhere. This construct allows for the re-use of the defined Properties of one Object within another, without the need to embed the full Object in the location from which it is being referenced. Thus, this ID reference is intended to resolve to the Properties of the Object that it points to. |
| Custom_Properties0..1 | CustomPropertiesType |
The Custom_Properties construct is optional and enables the specification of a set of custom Object Properties that may not be defined in existing Properties schemas. |
| Thread_ID0..1 | NonNegativeIntegerObjectPropertyType |
Represents the identifier of this thread. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms683183(v=vs.85).aspx. |
| Handle0..1 | WindowsHandleObjectType |
Handle represents the handle of a specific thread. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms682453(v=vs.85).aspx. |
| Running_Status0..1 | ThreadRunningStatusType |
Running Status represents the running state that the thread is in. |
| Context0..1 | StringObjectPropertyType |
The Context field specifies the thread context structure, which contains processor-specific register data. |
| Priority0..1 | UnsignedIntegerObjectPropertyType |
Represents the priority of the thread. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms685100(v=vs.85).aspx. |
| Creation_Flags0..1 | HexBinaryObjectPropertyType |
The Creation flags field represents the creation flags that a thread may be launched with. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms684863(v=vs.85).aspx. |
| Creation_Time0..1 | DateTimeObjectPropertyType |
Creation time represents the creation time of the thread. |
| Start_Address0..1 | HexBinaryObjectPropertyType |
Start address represents the start address of this thread, representing the memory address where this thread should start. See Also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms682453(v=vs.85).aspx. |
| Parameter_Address0..1 | HexBinaryObjectPropertyType | |
| Security_Attributes0..1 | StringObjectPropertyType |
Security attributes represents the security attributes for the thread. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/aa379560(v=vs.85).aspx. |
| Stack_Size0..1 | NonNegativeIntegerObjectPropertyType |
Represents the stack size of the thread. See also: http://msdn.microsoft.com/en-us/library/windows/desktop/ms686774(v=vs.85).aspx. |


---
layout: page
title: "BarmBamos LMY"
description: "Procrastination is the thief of time."
header-img: "assets/owner/hero/home-bg.jpg"
permalink: ./index.html
---
Welcome to BarmBamos!!!
BarmBamos is a theme for Jekyll
apricot kernel juice
My love is like the grasses
Hidden in the deep mountains
Though its abundance increase
There is none that knows
{% include links.html %}


If your request is time-sensitive, call me at the following number, 24/7.
I'll answer you if I'm awake, and I check my voicemail often.
If you can wait a day or two, email me<EMAIL_ADDRESS>You can also check the following resources for an answer to your question:


Boris Johnson forced to clarify his defence of monarchy in Prince Andrew scandal
The Tory leader said 10 days ago the monarchy was 'beyond reproach' - but now he's made clear he was only talking about the Queen, not the entire royal family
by Dan Bloom, https://www.facebook.com/mirrordanbloomBoris Johnson has been forced to clarify his defence of the monarchy amid the scandal over Prince Andrew.
The PM was branded 'unforgivable' by Labour after he offered up the surprising comment on the Duke of York's friendship with paedophile billionaire Jeffrey Esptein.
But questioned by journalists today, he had to clarify his comments - saying he was only talking about the monarchy, not the entire royal family.
While he still did not criticise Prince Andrew, Mr Johnson's comment finally makes clear he was not endorsing the Duke - 10 days after he was asked.
The original clash happened during an ITV debate between him and Jeremy Corbyn .
Asked if the monarchy was fit for purpose, long-time Republican Mr Corbyn said: "Needs a bit of improvement."
Yet Mr Johnson said defiantly: "The institution of the Monarchy is beyond reproach”.
The Prime Minister, who said in August he has "seen the good" Prince Andrew can do, added at the time: "All our sympathies should be obviously with the victims of Jeffrey Epstein.
"And the law must certainly take its course".
Since then, Prince Andrew has been stripped of many of his royal duties after a disastrous Newsnight interview in which he showed no remorse for his friendship with Epstein.
Today, Mr Johnson looked to explain his comment that the monarchy was "beyond reproach".
The PM said: "On the monarchy, the monarchy is the Queen.
"That in my view, she is beyond reproach. There is a distinction between the monarchy and the royal family and everybody will readily appreciate that.
"It is an obvious definitional (sic) distinction."


BOYS ON THE SIDE A film review by Scott Renshaw Copyright 1995 Scott Renshaw
Starring: Whoopi Goldberg, Mary-Louise Parker, Drew Barrymore. Screenplay: Don Roos. Director: Herbert Ross.
I have nothing against that ever-growing sub-genre of American filmmaking known as the "chick flick;" however, I do have a problem with the idea that women will flock to any slapdash attempt at a sob story, any muddled mess which happens to include female friends, mothers and daughters and truckloads of tragedy. Hollywood knows a lot about how to market films to women, but it has done a pretty miserable job of making them. Fortunately, BOYS ON THE SIDE is that rare creation, an emotional film that actually takes the time to develop characters, although it goes a bit overboard in its third act.
BOYS ON THE SIDE begins in New York, where night club singer Jane DeLuca (Whoopi Goldberg) is experiencing something of a career downturn. She decides to try her luck in Los Angeles, and looks for someone to share a ride. She finds Robin Nickerson (Mary-Louise Parker), a prim real estate agent looking for a change of scenery, and the very odd couple begins their cross-country trek. Along the way they are joined by Jane's friend Holly (Drew Barrymore), who is fleeing from an abusive relationship, and the three women take to the road. But circumstances force them to stop before L.A., and the relationships between the three friends are complicated by love, illness, pregnancy and a murder trial.
The first half of BOYS ON THE SIDE is surprisingly funny and effective, thanks largely to three winning performances by Goldberg, Parker and Barrymore. Goldberg has coasted quite a bit lately, playing the same hipper-than-thou character with a perpetual furrow in her brow as she deals with dopey white folks, but she is quite good here. Her Jane is more layered, a lesbian with an unfortunate habit of falling for straight women, and Goldberg is solid in a more emotional role than any she has tackled since THE COLOR PURPLE. Parker is a more subtle actress, and she has to be in a role that easily could have become a fussy stereotype; instead, Robin is an extremely sympathetic and appealing character. But it is Drew Barrymore who steals every scene she is in as the hopelessly flirtatious Holly. There is a positively infectious energy in her performance, and the scene in which the three women subdue her drug dealing boyfriend includes several hilarious highlights.
BOYS ON THE SIDE is very funny, but there is more to it than that. Director Herbert Ross (who previously covered similar ground in STEEL MAGNOLIAS) makes some interesting choices which add real depth to the characters and play against expectations. In one early scene, Robin sprays disinfectant on Jane's headphones before using them, and Goldberg gives us a "you've got to be kidding" reaction shot. But that moment takes on a different resonance when it is revealed that Robin has AIDS, and might be taking basic precautions. Similarly, it is a surprise when Jane refuses to hold Robin's hand after learning of her illness, since we expect a nearly divine level of understanding from gay characters, but that moment is complicated by the realization that Jane might be falling for Robin, and that pulling away is just a way of expressing her fear of those emotions.
There are numerous surprises like that, both funny and touching, throughout the first half of BOYS ON THE SIDE, but the second half is much more uneven. Once the women stop in Tuscon, much of the film's energy stops with them, and humor inevitably gives way to bathos. The relationship between Holly and an earnest young cop (Matthew McConaughey) is fairly silly, and the relationship between Robin and a bartender (James Remar) is hampered by his complete blandness as a character. Most frustrating is a murder sub-plot, which is largely unnecessary and symptomatic of screenwriter Don Roos' tendency to pile far too much into far too little time. This is a film about the friendships between these three women, and it seriously falters when those friendships are not the focus of the story. When they are the focus, BOYS ON THE SIDE does exactly what it sets out to do: it makes you laugh, it makes you sad, and it makes you care.
On the Renshaw scale of 0 to 10 boys on the side: 7.
-- Scott Renshaw Stanford University Office of the General Counsel
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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Angular Klingon
alpha
Meet
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This post from This is going to be BIG! right here and there are many very valid points. Let me put some down here.

The thinking, not just the building, has gotten small and lightweight…Â Too many people buildingÂ features, not applications, or, gasp, companies.Â People are confusing design with innovation.Â  Just because you add AJAX and rounded boxes to something does mean you have innovated.

We are seeing a lot of this out there at the moment, just thing of all the copy cats. The thing is that you can now build stuff very fast and it might even be taken up very fast. But is it a company? We are putting a lot of effort into building a company here at Ormigo. Among others, this means we hired the right group of people that have experience in leading teams and are happy enough to do the base work now. There are some very cool companies out there, but also a lot of featuritis.

Web 2.0 is a conversational vacuum.  I’ll prove it.Â Unless you live in the Valley, walk outside your door and try to find a Twitter user… You’ve got six hours.Â Go.Â Trust me, we’re talking to ourselves.Â (Don’t get me wrong…Â I really like Twitter…Â We just need to remind ourselves about how close to the edge we all are out here.)

Yes! Thank you! We are our own echo chamber. It was the blogging world now it’s the startup world.

A lot of powerful people don’t participate.Â How many VC’s out there fund widget companies without having a blog or a MySpace profile?Â Any Sony bloggers out there?Â What about brand managers that want to do Second Life campaigns without ever having been inside.Â How about my elected representatives?Â They get out there and kiss babies during election time, but how many blogging elected officials are there?Â (And not watered down campaign blogs… actual blogs written by the actual people.)Â We could do great things if we weren’t so segregated into a small group of people punch drunk on Kool Aid and a great deal of people who’ve never even heard of Kool Aid.Â

It is getting there I have to say here. We have real people blogging, more and more, but it’s not an easy concept to grasp. It will make the world a better place in the long run, forcing companies to be open. But I have been saying this for a long time. The good thing about this Internet thing getting into the mainstream is that you can not as easily fake it anymore. And it will get harder.


Nigerian national arrested, 12 gm of cocaine recovered
by Bangalore Mirror BureauA Nigerian national has been arrested for trying to sell cocaine. The CCB sleuths who made the arrest recovered 12 grams of cocaine from him.
The arrested has been identified as Makuka Chukwuka Muolokwu alias Miracle Chukwuka alias Henry, 38, a resident of Banaswadi.
Along with the cocaine, the police have also recovered five mobile phones and Rs 10,200 in cash.
The accused is alleged to have come to the country on student visa and was reportedly selling drugs to foreign national students.
The police have recovered his passport and visa and are further investigating the case.
The CCB sleuths have registered a case against him in the Banaswadi police station.


{% extends "layouts/base-site.html" %} {% block title %} Profile Page {% endblock %} {% block stylesheets %}{% endblock stylesheets %} {% block body_class %} profile-page {% endblock body_class %} {% block content %}
An artist of considerable range, Jane Faker — the name taken by Melbourne-raised, Brooklyn-based Nick Murphy — writes, performs and records all of his own music, giving it a warm, intimate feel with a solid groove structure.


Session Manager is a simple extension that makes it easy to save, update, restore, and remove sets of tabs.
To save a session, enter the name in the textbox in the "Save this window's tabs" area and press enter. A session with that name containing the current window's tabs will be created. If a session with that name already exists, you will be asked to confirm replacing it.
The temporary session is a special session that, when the browser is opened, will automatically open and delete itself. Click "as temp session" next to "Save this window's tabs" to save or replace it. Except for renaming and replacing, the temp session can be opened and modified like a normal session as described below.
Sessions can be opened by typing "session" in the omnibox and pressing the tab or space key, then entering the session name and pressing enter. Session Manager may suggest some sessions based on the text entered.
"Allow in incognito" must be checked under Session Manager in chrome://extensions for the incognito features to work. Sessions can be saved and opened normally in existing incognito windows, and can be opened in new incognito windows with the combo in the "Opening sessions" options.
Leave a comment on Session Manager's web store page.


Expanding textuality beyond printed page likely retains fascism of semiotics, eliding differences in media. What is speicific about code?
materiality is reconceptualized as the interplay between a text’s physical characteristics and its signifying strategies, a move that entwines instantiation and signification at the outset. material embodiments interact dynamically with linguistic, rhetorical and literary practices to create the effects we call literature.
materiality = physical property + conceptual contents + signifying strategies + interpretive activities of readers and writers. materiality should be understood as existing in complex dynamic interplay with content, coming into focus or fading into the background, depending on what performances the work enacts.
can we also imagine that languages specs and documentation are code-specific materiality?
electronic texts: 1. are dynamic images 2. include both analog resemblance and digital coding 3. are generated through fragmentation and recombination 4. have depth and operate in 3D 5. are written in code as well as natural languages 6. are mutable and transformable 7. are spaces to navigate 8. are written and read in distributed cognitive environments 9. initiate and demand cyborg reading practices
bolter and grusin say in remediation that every media encapsulates the other, but is that true for programming languages? aren’t they both forward and backward?
how do medium-specific constraints and possibilities shape texts?
from the discreeteness of alphabetic writing to the analogue of word and pattern recognition
books also create rich cognitive environments, but they passively embody the cognitions of writer, reader and book designer, rather than actively participate in cognition themselves


Fizz can move through units and takes a flat amount of reduced damage from all sources
URCHIN STRIKE
Fizz dashes through his target, dealing magic damage and applying on hit effects.
SEASTONE TRIDENT
Fizz's attacks bleed his enemies, dealing magic damage over several seconds. Fizz can empower his next attack to deal bonus damage and empower his further attacks for a short time.
PLAYFUL / TRICKSTER
Fizz hops into the air, landing gracefully upon his spear and becoming untargetable. From this position, Fizz can either slam the ground or choose to jump again before smashing back down.
CHUM THE WATERS
Fizz tosses a fish in a direction that attaches to any champion that touches it, slowing the target. After a short delay, a shark erupts from the ground, knocking up the target and knocking any nearby enemies aside. All enemies hit are dealt magic damage and slowed.


A toolset for 3D reconstruction and analysis of excavations. It provides methods to reconstruct natural and artificial surfaces based on field measurements. This allows to spatially contextualize documented subunits and features. Intended to be part of a 3D visualization workflow.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.3.2), kriging (≥ 1.1) |
| Imports: | Rcpp (≥ 0.12.7) |
| LinkingTo: | Rcpp |
| Suggests: | devtools (≥ 1.12.0), dplyr (≥ 0.5.0), knitr (≥ 1.15.1), magrittr (≥ 1.5), rgl (≥ 0.96.0), rmarkdown (≥ 1.0), roxygen2 (≥ 5.0.1), testthat (≥ 1.0.2) |
| Published: | 2017-02-25 |
| Author: | Clemens Schmid [cre, cph, aut], Benjamin Serbe [aut] |
| Maintainer: | Clemens Schmid <clemens at nevrome.de> |
| License: | GPL-2 |
| URL: | https://github.com/ISAAKiel/recexcavAAR |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | recexcavAAR results |
| Reference manual: | recexcavAAR.pdf |
| Vignettes: |
Vignette >>Semiautomatic spit attribution<< Vignette >>Trench visualisation<< Vignette >>Transforming coordinates<< |
| Package source: | recexcavAAR_0.3.0.tar.gz |
| Windows binaries: | r-devel: recexcavAAR_0.3.0.zip, r-release: recexcavAAR_0.3.0.zip, r-oldrel: recexcavAAR_0.3.0.zip |
| OS X binaries: | r-release: recexcavAAR_0.3.0.tgz, r-oldrel: recexcavAAR_0.3.0.tgz |
| Old sources: | recexcavAAR archive |
Please use the canonical form https://CRAN.R-project.org/package=recexcavAAR to link to this page.


class TreatmentProcedure
Constants
| STATUS_ACTIVE |
|
| STATUS_INACTIVE |
|
Methods
| __construct() | ||
| integer |
getId()
Get id |
|
| TreatmentProcedure |
setName(string $name)
Set name |
|
| string |
getName()
Get name |
|
| TreatmentProcedure |
setSlug(string $slug)
Set slug |
|
| string |
getSlug()
Get slug |
|
| TreatmentProcedure |
setStatus(smallint $status)
Set status |
|
| smallint |
getStatus()
Get status |
|
| TreatmentProcedure |
addInstitutionTreatmentProcedure(InstitutionTreatmentProcedure $institutionTreatmentProcedures)
Add institutionTreatmentProcedures |
|
|
removeInstitutionTreatmentProcedure(InstitutionTreatmentProcedure $institutionTreatmentProcedures)
Remove institutionTreatmentProcedures |
||
| Collection |
getInstitutionTreatmentProcedures()
Get institutionTreatmentProcedures |
|
| TreatmentProcedure |
setTreatment(Treatment $treatment = null)
Set treatment |
|
| Treatment |
getTreatment()
Get treatment |
|
| __toString() |
Details
at line 42
public
__construct()
at line 52
public integer
getId()
Get id
at line 63
public TreatmentProcedure
setName(string $name)
Set name
at line 74
public string
getName()
Get name
at line 85
public TreatmentProcedure
setSlug(string $slug)
Set slug
at line 96
public string
getSlug()
Get slug
at line 107
public TreatmentProcedure
setStatus(smallint $status)
Set status
at line 118
public smallint
getStatus()
Get status
at line 129
public TreatmentProcedure
addInstitutionTreatmentProcedure(InstitutionTreatmentProcedure $institutionTreatmentProcedures)
Add institutionTreatmentProcedures
at line 140
public
removeInstitutionTreatmentProcedure(InstitutionTreatmentProcedure $institutionTreatmentProcedures)
Remove institutionTreatmentProcedures
at line 150
public Collection
getInstitutionTreatmentProcedures()
Get institutionTreatmentProcedures
at line 161
public TreatmentProcedure
setTreatment(Treatment $treatment = null)
Set treatment
at line 172
public Treatment
getTreatment()
Get treatment


2.4. Presto Verifier
The Presto Verifier can be used to test Presto against another database (such as MySQL), or to test two Presto clusters against each other. We use it to continuously test trunk against the previous release while developing Presto.
Running Verifier
Create a MySQL database with the following table and load it with the queries you would like to run:
CREATE TABLE verifier_queries (
id int(11) unsigned NOT NULL PRIMARY KEY AUTO_INCREMENT,
suite varchar(256) NOT NULL,
name varchar(256) DEFAULT NULL,
control_catalog varchar(256) NOT NULL,
control_schema varchar(256) NOT NULL,
control_query text NOT NULL,
test_catalog varchar(256) NOT NULL,
test_schema varchar(256) NOT NULL,
test_query text NOT NULL,
control_username varchar(256) NOT NULL DEFAULT 'verifier-test',
control_password varchar(256) DEFAULT NULL,
test_username varchar(256) NOT NULL DEFAULT 'verifier-test',
test_password varchar(256) DEFAULT NULL,
session_properties_json varchar(2048) DEFAULT NULL)
Next, create a properties file to configure the verifier:
source-query.suite=my_suite
source-query.database=jdbc:mysql://localhost:3306/my_database?user=my_username&password=my_password
control.gateway=jdbc:presto://localhost:8080
test.gateway=jdbc:presto://localhost:8081
test-id=1
Lastly, download presto-verifier-0.229-executable.jar, rename it to verifier
,
make it executable with chmod +x
, then run it:
./verifier verify config.properties
Configuration Reference
| Name | Description |
|---|---|
control.timeout |
The maximum execution time of the control queries. |
test.timeout |
The maximum execution time of the test queries. |
metadata.timeout |
The maximum execution time of the queries that are required for obtaining table metadata or rewriting queries. |
checksum.timeout |
The maximum execution time of the queries that computes checksum for the control and the test results. |
whitelist |
A comma-separated list that specifies names of the queries within the suite to verify. |
blacklist |
A comma-separated list that specifies names of the queries to be
excluded from suite. blacklist is applied after whitelist . |
source-query.table-name |
Specifies the MySQL table from which to read the source queries for verification. |
event-clients |
A comma-separated list that specifies where the output events should be
emitted. Valid individual values are json and human-readable . |
json.log-file |
Specifies the output files for JSON events. If json is specified in
event-clients but this property is not set, JSON events are emitted
to stdout . |
human-readable.log-file |
Specifies the output files for human readable events. If
human-readable is specified in event-clients but this property
is not set, human readable events are emitted to stdout . |
max-concurrency |
Specifies the maximum concurrent verification. Alternatively speaking, the maximum concurrent queries that will be submitted to control and test clusters combined. |
relative-error-margin |
Specified the maximum tolerable relative error between control and test queries for floating point columns. |


{%extends 'base.html'%} {% block content %} {{block.super}}
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Signal No. 1 lifted as Sarah weakens, starts moving away
Since Severe Tropical Storm Sarah (Fung-wong) is moving away, the province of Batanes is no longer under Signal No. 1
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Projects
Current Projects
Anthropomorphic Robot Hands
This research project contributes to the development of a new class of anthropomorphic, compliant, adaptive robot hands. The robot hands can operate in unstructured environments and can achieve various grasping and in-hand manipulation actions, with only 3 actuators in a synergistic fashion. The design is optimized according to the human hand characteristics, based on neuroscience and anthropometric studies, as well as medical tests. The fabrication procedure consists of CNC milling, 3D printing, and Hybrid Deposition Manufacturing (HDM) techniques.
Exo-Arm/Hand Systems
TBD.Past Projects
Prosthetic Hands
This reserach project was focused on the design and development of an anthropomorphic, underactuated, personalized robot hand of low cost and weight. Elastic joints were selected in order to introduce passive compliance in the hand's structure, simplify the control problem and perform robust grasping in unstructured environments. Low weight and cost were achieved with the use of common, lightweight and oﬀ–the–self materials, like Plexiglas & ABS. We employed a single actuator with a novel selectively diﬀerential mechanism that allows the execution of diﬀerent grasping postures and gestures. The proposed design is parametric and allows the replication of personalized, anthropomorphic prosthetic hands. The fabrication procedure consists of either a laser cutting or a 3D printing technique.
Publications
-
George P. Kontoudis, Minas V. Liarokapis, Agisilaos G. Zisimatos, Christoforos I. Mavrogiannis and Kostas J. Kyriakopoulos, “Open-Source, Anthropomorphic, Underactuated Robot Hands with a Selectively Lockable Differential Mechanism: Towards Affordable Prostheses”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, 2015.
[BibTeX] [PDF] [Video]


Package with service control classes, interface and servlets, the heart of the service request processing engine.


HTML Elements
Each element has a purpose
Learn more at pluralsight
Author
Title
Craig Shoemaker
Building Websites with HTML, CSS and Javascript: Getting Started
John Papa
Vue: Getting Started