Fast self-stabilizing bit dissemination
09 Mar 2017Introduction
(The introduction is in French and English, the text itself is in English)
fr : Bonjour, et bienvenue pour le premier vrai post de ce blog. Aujourd’hui Lucas Boczkowski résume (en anglais) l’exposé qu’il a donné au séminaire des doctorants le 22 février 2017 à propos de l’article Minimizing Message Size in Stochastic Communication Patterns: Fast Self-Stabilizing Protocols with 3 bits, présenté avec ses co-auteurs à SODA 2017. Si vous avez des commentaires n’hésitez pas à les envoyer, à Lucas ou bien à moi (respectivement lboczko et feuilloley at irif.fr).
en: Hi everyone, and welcome to the first real post of this blog. The following text is a summary (in English) by Lucas Boczkowski of the talk he gave at the PhD seminar on the 22nd of February 2017. It is about the paper he and his coauthors presented at SODA this year: Minimizing Message Size in Stochastic Communication Patterns: Fast Self-Stabilizing Protocols with 3 bits. For any comment, send an email to Lucas or to me (respectively lboczko and feuilloley at irif.fr).
Setup and result
Consider the following scenario. A school of $n$ fish has to decide whether to keep moving forward or change direction. We model an answer to this question by a binary bit $b \in {0,1}$. An informed source, perhaps a fish who saw a predator, is convinced on what the correct choice of $b$ should be and she wishes to spread it to her peers. On each round every fish looks at $O(1)$ randomly chosen other fish. If they see the source or someone who knows $b$ they learn it themselves.
We will be interested in information spreading of the kind we just described. Let us denote by SIMPLE this simple example. It can be shown that SIMPLE only needs $O(\log n)$ rounds to finish with high probability (w.h.p). In this work, we seek to understand what are the harshest conditions under which such efficient spreading of information can be implemented. Our result is a generalization to a more general context that still runs in $\tilde{O}(\log n)$ rounds.
To begin with, it should be pointed out that SIMPLE already has some nice features. Agents interact stochastically and anonymously. When they interact they only need to exchange one bit which is $b$. In fact, we should be more precise and say they actually exchange two bits one saying if they are knowledgeable and the other possibly giving the value $b$.
On top of this, we add a requirement known as self-stabilization. This means that no matter what the agents inner state is at the beginning of the protocol, they should after some (hopefully short) time get to know the source bit $b$. Even if initially most fish wanted to go forward, if the informed source saw a predator, she will manage to influence the whole school. The self-stabilizing requirement can be a daunting one. Indeed, the more complex a protocol is, the more states the agents are allowed to have, the more cases a proof of self-stabilization needs to handle. Another view on self-stabilization is that if the source for some reason, in the middle of the execution of the protocol changes her mind from $b$ to $1-b$ then soon after that, the mechanism allows everyone to agree on $1-b$.
Regarding communication, we allow the agents to have a big memory, but we ask that messages exchanged on each round by each agent are of small size. In other words, even if agents are able to do sophisticated computations privately, only few bits are exchanged on each interaction.
Let us now go back to SIMPLE and try and understand why it does not meet our demands. First we need to be slightly more precise and define what happens when two knowledgeable agents with different opinions meet. For concreteness let us say that in this case they flip opinions, except for the source of course. In the first paragraph, such a situation didn’t occur because we implicitly started from a very favourable configuration where nobody was in a ``knowledgeable state”, i.e., thought they had already seen the source. But in fact, if we start with everybody being knowledgeable, and being convinced of the wrong value of $b$, convergence will be very slow. Other similar simple rules share this burden of being slow, or they are demanding in terms of message size.
Our main result is the following.
Theorem There exists a protocol, which solves the broadcast problem in a self-stabilizing manner in $\tilde{O}(\log n)$ rounds w.h.p using $3$-bit messages.
Note these $3$ bits in principle allow to encode information such as I am the source but it is not enough to say I saw the source $k$ rounds ago for more than $\Omega(1)$ distinct values of $k$.
Sketch of proof of the Theorem
The proof consists of three steps.
- We first show that the problem can be reduced to that of agreeing on a counter modulo $O(\log n)$.
- We then build such a counter in $\tilde{O}(\log n)$ rounds using large messages.
- A message reduction tool is invoked to reduce the message size down to $O(1)$, paying only a small $o(\log n)$ multiplicative overhead in the number of rounds.
Step $(1)$
Under the assumption that all agents share the same clock modulo $T = C \log n$ for a big constant $C$, the following trick shows how to obtain convergence in $O(\log n)$ time. Each phase of length $T$ is subdivided into two subphases of length $T/2$, the morning and the evening. In the morning, non-source agents are sensitive to opinion $0$. This means that whenever they see another agent displaying $0$, they turn their displayed bit to $0$, but if they see $1$ they ignore it. Then, in the evening, they do the opposite, namely they switch the displayed bit to $1$ as soon as they see a $1$.
Consider the phase (i.e., morning+evening) starting after initialization. If $b=0$ after morning is over at time $T/2$, every displayed bit is $0$ w.h.p., and remains there forever. Otherwise, if $b=1$, after the first evening, $[T/2+1, T]$, all displayed bits are set to $1$ w.h.p., and remain $1$ forever. Note that a common time notion is required to achieve correctness, and this cannot be assumed in a self-stabilizing framework as the common clock is a part of the memory which could be initially corrupted.
Step $(2)$
Step $(2)$ is based on the protocol MAJORITY from the paper Stabilizing consensus with the power of two choices. To design a clock modulo $T$ each agent displays $\log T$ bits corresponding to the binary expansion of a number $< T$. On each round, each agent samples the counters of $2$ other agents uniformly at random. Then 3-MAJORITY is applied bitwise and the counters are also incremented on every round.
At this stage, convergence of the counters may seem counter-intuitive. Each bit of each counter is affected both by the operation of incrementing and also by the majority rule. It turns out however that this solution works in $O(\log T \log n)$ rounds provided $T$ is a power of $2$. However it uses $\log T$ bits messages and later we want $T$ to be of order $\log n » 1$.
Step $(3)$
In this part, our main lemma is the following.
Informal lemma In our context, any protocol $\Pi$ using $\ell$ bits messages can be emulated by another one using $\lceil \log \ell \rceil +1$ bits messages, at the cost of only a small overhead in the running time.
Informal proof We know from the previous step how to design a counter modulo $\ell$ using $\lceil \log \ell \rceil $ bits. This can be interpreted as an index saying which bit of the $\Pi$-message to display. Looping over indices of $\Pi$ allows, within $\ell$ rounds to emulate \emph{one} round of $\Pi$.
The lemma can be applied to any protocol, and in particular… to the clock synchronization protocol we saw in Step $2$. This reduces the message size from $\log T$ to $\lceil \log \log T\rceil +1$. We can keep iterating this and we are able to reduce the message size until reaching the fixed point of $T \mapsto \lceil \log T \rceil + 1$ which happens to be $3$.
Open questions
Does there exist a $1$ bit efficient solution to the broadcast problem ? A solution that does not build a clock would be of special interest to us.


Why use Grunt? In one word: automation. The less work you have to do when performing repetitive tasks like minification, compilation, unit testing, linting, etc, the easier your job becomes. After you've configured it, a task runner can do most of that mundane work for you—and your team—with basically zero effort.
Grunt is a task-based command line build tool for JavaScript projects.
The Grunt ecosystem is huge and it's growing every day. With literally hundreds of plugins to choose from, you can use Grunt to automate just about anything with a minimum of effort. If someone hasn't already built what you need, authoring and publishing your own Grunt plugin to npm is a breeze.
Grunt is built on Node.js, and it’s available as a package via the Node package manager (npm).
Installing the CLI
In order to get started, you'll want to install Grunt's command line interface (CLI) globally. You may need to use sudo (for OSX, *nix, BSD etc) or run your command shell as Administrator (for Windows) to do this.
npm install -g grunt-cli
This will put the grunt
command in your system path, allowing it to be run from any directory. Note that installing grunt-cli
does not install the Grunt task runner! The job of the Grunt CLI is simple: run the version of Grunt which has been installed next to a Gruntfile
. This allows multiple versions of Grunt to be installed on the same machine simultaneously.
Working with an existing Grunt project
Assuming that the Grunt CLI has been installed and that the project has already been configured with a package.json and a Gruntfile, it's very easy to start working with Grunt:
- Change to the project's root directory.
- Install project dependencies with npm install.
- Run Grunt with grunt.
That's really all there is to it. Installed Grunt tasks can be listed by running grunt --help but it's usually a good idea to start with the project's documentation.
This extract of text has been used as a demonstration of the Astro Ghost Theme. For more information on Grunt, see http://gruntjs.com.
Manuel Sánchez
http://ecko.meManuel Sánchez has built a career and reputation by breaking the rules. Harvey's shoot-from-the-hip style has made him an effective lawyer and a slick character.


A web application for providing access to Digital Objects in SDR Storage
Getting Started ./bin/setup.sh ./bin/test.sh
Environment variables are set in various places, with the following order of importance:
- On deployed apps, running under Apache/Passenger, see /etc/httpd/conf.d/z*
- The content of the config files is managed by puppet
- Command line values that precede ./bin/
, foreman, or rackup, e.g. - APP_ENV=development RACK_ENV=development .binstubs/foreman start
- APP_ENV=development RACK_ENV=development .binstubs/rackup
- This is used in ./bin/test.sh
- .env file can supplement, without replacing existing values
- ./config/boot.rb can set defaults for missing values


Please, find here the information on the crystalized components you have requested to be reused in your simulation submission. Make sure the data contained here matches the one corresponding to your simulation.
Information appearing in the ‘Curated protein information’ section must be identical to the one concerning your simulation. Resname, Mol name, Num of mol and Type fields in the ‘Information of crystalized small molecules' section must match data in your simulation as well.
If a perfect match exists, please click the 'Check Protein Information' and 'Check Small Molecule Information' links at the bottom of the form to confirm matching of further system details. Otherwise, you have to submit your simulation as a new system from scratch by clicking the ‘New Submission’ button in the initial ‘Simulation Submission’ page and following the whole Submission index.
For more information on this form, see the docs.


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The underlying JVM object is a SchemaRDD, not a PythonRDD, so we can
utilize the relational query api exposed by SparkSQL.
This class receives raw tuples from Java but assigns a class to it in
all its data-collection methods (mapPartitionsWithIndex, collect, take,
etc) so that PySpark sees them as Row objects with named fields.
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__init__(self,
jschema_rdd,
sql_ctx)
x.__init__(...) initializes x; see help(type(x)) for signature |
source code
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insertInto(self,
tableName,
overwrite=False)
Inserts the contents of this SchemaRDD into the specified table. |
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saveAsTable(self,
tableName)
Creates a new table with the contents of this SchemaRDD. |
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schemaString(self)
Returns the output schema in the tree format. |
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printSchema(self)
Prints out the schema in the tree format. |
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mapPartitionsWithIndex(self,
f,
preservesPartitioning=False)
Return a new RDD by applying a function to each partition of this
RDD, while tracking the index of the original partition. |
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cache(self)
Persist this RDD with the default storage level
(MEMORY_ONLY_SER ). |
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persist(self,
storageLevel)
Set this RDD's storage level to persist its values across operations
after the first time it is computed. |
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blocking=True)
Mark the RDD as non-persistent, and remove all blocks for it from
memory and disk. |
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Return a new RDD that is reduced into `numPartitions` partitions. |
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subtract(self,
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Inherited from rdd.RDD :
__add__ ,
__repr__ ,
aggregate ,
aggregateByKey ,
cartesian ,
cogroup ,
collectAsMap ,
combineByKey ,
context ,
countByKey ,
countByValue ,
filter ,
first ,
flatMap ,
flatMapValues ,
fold ,
foldByKey ,
foreach ,
foreachPartition ,
getNumPartitions ,
getStorageLevel ,
glom ,
groupBy ,
groupByKey ,
groupWith ,
histogram ,
id ,
join ,
keyBy ,
keys ,
leftOuterJoin ,
map ,
mapPartitions ,
mapPartitionsWithSplit ,
mapValues ,
max ,
mean ,
min ,
name ,
partitionBy ,
pipe ,
reduce ,
reduceByKey ,
reduceByKeyLocally ,
rightOuterJoin ,
sample ,
sampleByKey ,
sampleStdev ,
sampleVariance ,
saveAsHadoopDataset ,
saveAsHadoopFile ,
saveAsNewAPIHadoopDataset ,
saveAsNewAPIHadoopFile ,
saveAsPickleFile ,
saveAsSequenceFile ,
saveAsTextFile ,
setName ,
sortBy ,
sortByKey ,
stats ,
stdev ,
subtractByKey ,
sum ,
take ,
takeOrdered ,
takeSample ,
toDebugString ,
top ,
union ,
values ,
variance ,
zip ,
zipWithIndex ,
zipWithUniqueId
Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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PLANET SICK-BOY: http://www.sick-boy.com "We Put the SIN in Cinema"
If you liked Waiting for Guffman, you'll love Best in Show. Both films were directed by Christopher Guest and largely improvised by similar ensemble casts. Guest has clearly perfected the `mockumentary,' a craft he honed as a performer and writer on Rob Reiner's classic film This is Spinal Tap. This time out, Guest point his cynical lens at a ripe target – dog shows.
Show begins with a scene featuring two yuppie attorneys from suburban Illinois (Michael Hitchcock, Happy Texas and Parker Posey, Scream 3). You think they're getting advice from a marriage counselor, but as the scene unfolds, it becomes clear that the couple is really speaking to a pet psychiatrist (it's been done before in Bruce McCulloch's Dog Park, but that's a minor complaint). It seems that Meg and Hamilton Swan are concerned that their Weimaraner, Beatrice, suffered severe psychological damage when she saw them having sex.
The kooky Swan's are just the tip of the iceberg. Show's other dog show participants include:
· Harlan Pepper (Guest) and his bloodhound, Hubert. They live in backwoods Pinenut, North Carolina, where Pepper runs a bait and tackle shop called The Fishing Hole.
· Gerry and Cookie Fleck (Eugene Levy and Catherine O'Hara from SCTV) and their Norwich Terrier, Blinky. Based in Fern City, Florida, the Flecks are living proof that opposites attract. Gerry has two left feet (literally) and resembles Kirk Van Houten from The Simpsons, while Cookie's past sexual promiscuity becomes a running gag in the film.
· Stefan Vanderhoof (Michael McKean, Mystery, Alaska), Scott Donlan (John Michael Higgins, Bicentennial Man) and their Shih Tzu, Miss Agnes. This homosexual couple from Tribeca are, respectively, a hairdresser and a professional dog handler.
 Sheri Ann is a buxom blonde married to a man with one foot in the grave (Patrick Cranshaw from Guest's Almost Heroes). Christy is Rhapsody's butch trainer, and the defending two-time champion of the Mayflower Dog Show.
Each of these dogs competes in the prestigious Mayflower event in Philadelphia's top kennel club (a knock-off of New York's Westminster Show), which is celebrating its 125-year of competition. The first round of the contest chooses the best dog from each breed. The winners of each breed compete for the coveted `Best in Show' award for the top dog.
The show is hosted by two television commentators – one well informed and serious (Jim Piddock, Mad About You) – the other a hysterically clueless boor (Fred Willard, Austin Powers 2). Their banter is easily the funniest part of the film (I've got my fingers crossed that there will be more on the DVD).
In addition to rousing drop dead hilarious performances from his cast, Guest also adds in little touches that you might miss the first time around. Like the row of clocks that all give the same time behind the front desk of the Mayflower competitor's hotel (signs underneath each clock let you know that they're all for east coast cities, like Baltimore, New York and Boston).
Show was loosely written by Guest and Levy, who also framed the story for the critically acclaimed Guffman. It's a big step in the right direction after Guest bombed with 1998's non-mockumentary debacle Almost Heroes. There isn't one thing that would have made Show a more enjoyable film (other than making it longer). You won't see a funnier film this year.
1:30 – PG-13 for language and sex-related material
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--- layout: page status: publish published: true title: GNIS author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 3812 wordpress_url: http://gis.utah.gov/?page_id=3812 date: '2011-11-23 09:22:52 -0700' date_gmt: '2011-11-23 16:22:52 -0700' categories: [] tags: - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide ---
Data Type: GIS Data Layer
Steward(s): USGS
Abstract:
The Geographic Names Information System (GNIS) was developed by the U.S. Geological Survey in cooperation with the U.S. Board on Geographic Names (BGN), local governments and other interested organizations. The GNIS contains information about physical and cultural geographic features in the United States and associated areas, both current and historical, but not including roads and highways. The goal of GNIS is to meet major national needs regarding geographic names and their standardization and dissemination.
Data Content:
The following data is available for download:
No usage tips available at this time.
General Utah GIS data inquiries<EMAIL_ADDRESS>[/tab] Download:To download this dataset, use the link at the top of this page. To download older versions of this data, see the "Updates" tab.
Other Links:


Certification
{% if header.reportType == 'dissolution' %}
{{ header.certifiedBy }} certifies that they have relevant knowledge of the {{entityDescription}} and
is authorized to make this filing.
{% else %}
I, {{ header.certifiedBy }}, certify that I have relevant knowledge of the {{entityDescription}}, and
that I am authorized to make this filing.
{% endif %}


class: center, middle # A Short History of Snowfall --- # The First Snow Measurement Preserved in the NOAA GHCND Dataset (Daily Measurements)


Android's camera app exploit can be used to spy on users
by RoAn exploit has been found regarding Google's default camera app along with numerous other camera apps from different vendors. A team of security researchers have found a way to access the phone's storage to bypass Android's permissions and although most phones have already been patched against it it's good to know for those that use side-loaded apps or custom ROMs with no updates.
Google makes third-party apps request permission to access the phone's photos and videos as well as accessing the default camera app but researchers were able to get permission on a rogue app without the user's explicit agreement. By manipulating specific actions and intents, the attacker can gain control over the camera app meaning, he or she can take photos and record videos without the user's consent.
In addition, certain scenarios also allow the attacker to gain control over the device's storage as well as GPS metadata stored in photos' and videos' EXIF. Here, watch the video below and see how the group hijacks a Pixel 2 XL phone.
The backdoor could be found not only on Pixel devices but phones from other vendors as well, with Samsung in particular named. The update was found back in July and the research team contacted Samsung and Google, which quickly issued patches for the camera apps of their phones.
The search giant has also contacted all OEMs about the exploit and distributed a patch so everyone using official software and still getting support by their manufacturer should be safe. You can learn more about the exploit by following the source link below.


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sget<kind>
Purpose
Perform the identified object static field operation with the identified static
field, loading or storing into the value register.
Note: These opcodes are reasonable candidates for static linking, altering the
field argument to be a more direct offset.
Details
| Op & Format |
Mnemonic / Syntax |
Arguments |
| 60..6d 21c |
sstaticop vAA, field@BBBB
60: sget
61: sget-wide
62: sget-object
63: sget-boolean
64: sget-byte
65: sget-char
66: sget-short
|
A: dest value register or pair; (8 bits)
B: static field reference index (16 bits) |
Constraints
-
A must be a valid register index in the current stackframe.
-
For the -wide variant, also A+1 must be a valid register index in the
current stackframe.
-
B must be a valid index into the field reference pool.
-
The field denoted by B must be static. The type of the field denoted by B
must match the variant of the instruction.
Behavior
-
The value of the given instance field is read from the given object and
moved into the given register vA, that is, vA'=<class>.<field>.
-
If v(A-1) is the lower half of a register pair, v(A-1)' becomes undefined.
-
For all but the -wide variant, if v(A+1) is the upper half of a register
pair, v(A+1)' becomes undefined.
-
For the -wide variant, if v(A+2) is the upper half of a register pair,
v(A+2)' becomes undefined.
Exceptions
-
NullPointerException if object is null.
-
IllegalAccessException if <object>.<field> is not visible from
the current context according to the usual visibility and access rules of
the Java programming language.


Symbollic Logic
by Lewis Carroll
“Book 3: Chapter 3”
Additional Information
- Year Published: 1896
- Language: English
- Country of Origin: United States of America
- Source: Carroll, L. (1896). Symbollic Logic. New York; Macmillan & Co.
-
Readability:
- Flesch–Kincaid Level: 10.5
- Word Count: 6,225
- Genre: Informational
- Keywords: math history, mathematics
- ✎ Cite This
Downloads
CHAPTER III.
REPRESENTATION OF PROPOSITIONS.
Section 1. Introductory.
Henceforwards, instating such Propositions as “Some x-Things exist” or “No x-Things are y-Things”, I shall omit the word “Things”, which the Reader can supply for himself, and shall write them as “Some x exist” or “No x are y”.
[Note that the word “Things” is here used with a special meaning, as explained at p. 23.]
A Proposition, containing onely one of the Letters used as Symbols for Attributes, is said to be ‘Uniliteral’.
[For example, “Some x exist”, “No y’ exist”, &c.]
A Proposition, containing two Letters, is said to be ‘Biliteral’.
[For example, “Some xy’ exist”, “No x’ are y”, &c.]
A Proposition is said to be ‘in terms of’ the Letter it contains, whether with or without accents.
[Thus, “Some xy’ exist”, “No x’ are y”, &c, are said to be in terms of x and y.]
Section 2. Representation of Propositions of Existence.
Let us take, first, the Proposition “Some x exist”.
[Note that this Proposition is (as explained at p. 12) equivalent to “Some existing Things are x-Things.”]
This tells us that there is at least one Thing in the North
Half; that is, that the North Half is occupied. And -------
this we can evidently represent by placing a Red | (1) |
Counter (here represented by a dotted circle) on the |---|---|
partition which divides the North Half. | | |
-------
[In the “books” example, this Proposition would be “Some old books exist”.]
Similarly we may represent the three similar Propositions “Some x’ exist”, “Some y exist”, and “Some y’ exist”.
[The Reader should make out all these for himself. In the “books” example, these Propositions would be “Some new books exist”, &c.]
Let us take, next, the Proposition “No x exist”.
This tells us that there is nothing in the North Half; that
is, that the North Half is empty; that is, that the North-
West Cell and the North-East Cell are both of them -------
empty. And this we can represent by placing two |(0)|(0)|
Grey Counters in the North Half, one in each Cell. |---|---|
| | |
-------
[The Reader may perhaps think that it would be enough to place a Grey Counter on the partition in the North Half, and that, just as a Red Counter, so placed, would mean “This Half is occupied”, so a Grey one would mean “This Half is empty”. This, however, would be a mistake. We have seen that a Red Counter, so placed, would mean “At least one of these two Cells is occupied: possibly both are.” Hence a Grey one would merely mean “At least one of these two Cells is empty: possibly both are”. But what we have to represent is, that both Cells are certainly empty: and this can only be done by placing a Grey Counter in each of them. In the “books” example, this Proposition would be “No old books exist”.]
Similarly we may represent the three similar Propositions “No x’ exist”, “No y exist”, and “No y’ exist”.
[The Reader should make out all these for himself In the “books” example, these three Propositions would be “No new books exist”, &c.]
Let us take, next, the Proposition “Some xy exist”.
This tells us that there is at least one Thing in the North-
West Cell; that is, that the North-West Cell is -------
occupied. And this we can represent by placing a |(1)| |
Red Counter in it. |---|---|
| | |
-------
[In the “books” example, this Proposition would be “Some old English books exist”.]
Similarly we may represent the three similar Propositions “Some xy’ exist”, “Some x’y exist”, and “Some x’y’ exist”.
[The Reader should make out all these for himself. In the “books” example, these three Propositions would be Some old foreign books exist”, &c.]
Let us take, next, the Proposition “No xy exist”.
This tells us that there is nothing in the North-West Cell;
that is, that the North-West Cell is empty. And -------
this we can represent by placing a Grey Counter |(0)| |
in it. |---|---|
| | |
-------
[In the “books” example, this Proposition would be “No old English books exist”.]
Similarly we may represent the three similar Propositions “No xy’ exist”, “No x’y exist”, and “No x’y’ exist”.
[The Reader should make out all these for himself. In the “books” example. these three Propositions would be “No old foreign books exist”, &c.]
-------
We have seen that the Proposition "No x exist" |(0)|(0)|
may be represented by placing two Grey Counters in |---|---|
the North Half, one in each Cell. | | |
-------
We have also seen that these two Grey Counters, taken separately, represent the two Propositions “No xy exist” and “No xy’ exist”.
Hence we see that the Proposition “No x exist” is a Double Proposition, and is equivalent to the two Propositions “No xy exist” and “No xy’ exist”.
[In the “books” example, this Proposition would be “No old books exist”. Hence this is a Double Proposition, and is equivalent to the two Propositions “No old Ebglish books exist” and “No old foreign books exist”.
Section 3. Representation of Propositions of Relation.
Let us take, first, the Proposition “Some x are y”.
This tells us that at least one Thing, in the North Half
also in the West Half. Hence it must be in the space -------
common to them, that is, in the North-West Cell. |(1)| |
Hence the North-West Cell is occupied. And this |---|---|
we can represent by placing a Red Counter in it. | | |
-------
[Note that the Subject of the Proposition settles which Half we are to use; and that the Predicate settles in which portion of it we are to place the Red Counter. In the “books” example, this Proposition would be “Some old books are English”.]
Similarly we may represent the three similar Propositions “Some x are y’”, “Some x’ are y”, and “Some x’ are y’”.
[The Reader should make out all these for himself. In the “books” example, these three Propositions would be “Some old books are foreign”, &c.]
Let us take, next, the Proposition “Some y are x”.
This tells us that at least one Thing, in the West Half, is
also in the North Half. Hence it must be in the space
common to then, that is, in the North-West Cell. -------
Hence the North-West Cell is occupied. And this |(1)| |
we can represent by placing a Red Counter in it. |---|---|
| | |
-------
[In the “books” example, this Proposition would be “Some English books are old”.]
Similarly we may represent the three similar Propositions “Some y are x’”, “Some y’ are x”, and “Some y’ are x’”.
[The Reader should make out all these for himself. In the “books” example, these three Propositions would be “Some English books are new”, &c.]
-------
We see that this one Diagram has now served to |(1)| |
represent no less than three Propositions, viz. |---|---|
| | |
(1) "Some xy exist; -------
(2) Some x are y;
(3) Some y are x".
Hence these three Propositions are equivalent.
[In the “books” example, these Propositions would be (1) “Some old English books exist; (2) Some old books are English; (3) Some English books are old”.]
The two equivalent Propositions, “Some x are y” and “Some y are x”, are said to be ‘Converse’ to each other; and the Process, of changing one into the other, is called ‘Converting’, or ‘Conversion’.
[For example, if we were told to convert the Proposition “Some apples are not ripe,” we should first choose our Univ. (say “fruit”), and then complete the Proposition, by supplying the Substantive “fruit” in the Predicate, so that it would be “Some apples are not-ripe fruit”; and we should then convert it by interchanging its Terms, so that it would be “Some not-ripe fruit are apples”.]
Similarly we may represent the three similar Trios of equvalent Propositions; the whole Set of four Trios being as follows:–
(1) “Some xy exist” = “Some x are y” = “Some y are x”. (2) “Some xy’ exist” = “Some x are y’” = “Some y’ are x”. (3) “Some x’y’ exist” = “Some x’ are y’” = “Some y’ are x’”.
Let us take, next, the Proposition “No x are y”.
This tell us that no Thing, in the North Half, is also in
the West Half. Hence there is nothing in the space common
to them, that is, in the North-West Cell. Hence the -------
North-West Cell is empty. And this we can represent |(0)| |
by placing a Grey Counter in it. |---|---|
| | |
-------
[In the “books” example, this Proposition would be “No old books are English”.]
Similarly we may represent the three similar Propositions “No x are y’”, and “No x’ are y”, and “No x’ are y’”.
[The Reader should make out all these for himself. In the “books” example, these three Propositions would be “No old books are foreign”, &c.]
Let us take, next, the Proposition “No y are x”.
This tells us that no Thing, in the West Half, is also in the
North Half. Hence there is nothing in the space common to
them, that is, in the North-West Cell. That is, the -------
North-West Cell is empty. And this we can represent |(0)| |
by placing a Grey Counter in it. |---|---|
| | |
-------
[In the “books” example, this Proposition would be “No, English books are old”.]
Similarly we may represent the three similar Propositions “No y are x’”, “No y’ are x”, and “No y’ are x’”.
[The Reader should make out all these for himself. In the “books” example, these three Propositions would be “No English books are new”, &c.]
We see that this one Diagram has now served to -------
present no less than three Propositions, viz. |(0)| |
|---|---|
(1) "No xy exit; | | |
(2) No x are y; -------
(3) No y are x."
Hence these three Propositions are equivalent.
[In the “books” example, these Propositions would be
(1) “No old English books exist;
(2) No old books are English;
(3) No English books are old”.]
The two equivalent Propositions, “No x are y” and “No y are x”, are said to be ‘Converse’ to each other.
[For example, if we were told to convert the Proposition “No porcupines are talkative”, we should first choose our Univ. (say “animals”), and then complete the Proposition, by supplying the Substantive “animals” in the Predicate, so that it would be “No porcupines are talkative animals”, and we should then convert it, by interchanging its Terms, so that it would be “No talkative animals are porcuoines”.]
Similarly we may represent the three similar Trios of equivalent Propositions; the whole Set of four Trios being as follows:–
(1) “No xy exist” = “No x are y” = “No y are x”.
(2) “No xy’ exist” = “No x are y’” = “No y’ are x”.
(3) “No x’y exist” = “No x’ are y” = “No y are x’”.
(4) “No x’y’ exist” = “No x’ are y’” = “No y’ are x’”.
Let us take, next, the Proposition “All x are y”.
-------
We know (see p. 17) that this is a Double Proposition, |(1)|(0)|
and equivalent to the two Propositions "Some x are y" |---|---|
and "No x are y'", each of which we already know how | | |
to represent. -------
[Note that the Subject of the given Proposition settles which Half we are to use; and that is Predicate settles in which portion of that Half we are to place the Red Counter.]

-------
Let us take, lastly, the Double Proposition "Some |(1)|(1)|
x are y and some are y'", each part of which we |---|---|
already know how to represent. | | |
-------
Similarly we may represent the three similar Propositions, “Some x’ are y and some are y’”, “Some y are x and some are x’”, “Some y’ are x and some are x’”.
The Reader should now get his genial friend to question him, severely, on these two Tables. The Inquisitor should have the Tables before him: but the Victim should have nothing but a blank Diagram, and the Counters with which he is to represent the various Propositions named by his friend, e.g. “Some y exist”, “No y’ are x”, “All x are y”, &c. &c.
TABLE III.
----------------------------------------------------------
| | ------- | | ------- |
| Some xy exist | |(1)| | | | |(1)|(0)| |
| =Some x are y | |---|---| | All x are y | |---|---| |
| =Some y are x | | | | | | | | | |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| Some xy' exist | | |(1)| | | |(0)|(1)| |
| =Some x are y' | |---|---| | All x are y' | |---|---| |
| =Some y' are x | | | | | | | | | |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| Some x'y exist | | | | | | | | | |
| =Some x' are y | |---|---| | All x' are y | |---|---| |
| =Some y are x' | |(1)| | | | |(1)|(0)| |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| Some x'y' exist | | | | | | | | | |
| =Some x' are y' | |---|---| | All x' are y' | |---|---| |
| =Some y' are x' | | |(1)| | | |(0)|(1)| |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| No xy exist | |(0)| | | | |(1)| | |
| =No x are y | |---|---| | All y are x | |---|---| |
| =No y are x | | | | | | |(0)| | |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| No xy' exist | | |(0)| | | |(0)| | |
| =No x are y' | |---|---| | All y are x' | |---|---| |
| =No y' are x | | | | | | |(1)| | |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| No x'y exist | | | | | | | |(1)| |
| =No x' are y | |---|---| | All y' are x | |---|---| |
| =No y are x' | |(0)| | | | | |(0)| |
| | ------- | | ------- |
|------------------|-----------|---------------|-----------|
| | ------- | | ------- |
| No x'y' exist | | | | | | | |(0)| |
| =No x' are y' | |---|---| | All y' are x' | |---|---| |
| =No y' are x' | | |(0)| | | | |(1)| |
| | ------- | | ------- |
----------------------------------------------------------
------------------------------------------------------------
| | ------- | | ------- |
| | |(1)|(1)| | | |(1)| | |
| Some x are y, | |---|---| | Some y are x | |---|---| |
| and some are y' | | | | | and some are x' | |(1)| | |
| | ------- | | ------- |
|------------------|-----------|-----------------|-----------|
| | ------- | | ------- |
| | | | | | | | |(1)| |
| Some x' are y, | |---|---| | Some y' are x | |---|---| |
| and some are y' | |(1)|(1)| | and some are x' | | |(1)| |
| | ------- | | ------- |
------------------------------------------------------------


{:request()->show_name}
Available
45 Projects
15 Awards
2174 Points
基本信息
- 用户名 {:request()->admin->username}
- 昵称 {:request()->admin->nickname}
- 邮箱 {:request()->admin->email}{if request()->admin->email_password}(已绑定密码) {else /} (未绑定密码) {/if}
- 手机号 {:request()->admin->mobile}
Samuel's Awards
-
Commented on post Prototyping
-
Uploaded new file Proposal.docx to project New Year Campaign
-
Added Martin and 3 others colleagues to project repository
-
Finished 80% of all assigned tasks
| Title | Progress | Leader | Status |
|---|---|---|---|
| Spot Media |
|
Michael | ACTIVE |
| E-Commerce Site |
|
Antonius | PENDING |
| Project 123GO |
|
Antonius | ACTIVE |
| Wordpress Theme |
|
Michael | ACTIVE |
| Project 123GO |
|
Antonius | CLOSED |
| Redesign Landing Page |
|
Jason | CLOSED |


Container chart
Default
With { height: 500px; width: 500px; }
With { height: 500px; }
Resizable
Reversed
Vertical
Vertical with top-down text orienation and { height: 500px; width: 300px; }
Vertical reversed with click event (alert) and { height: 500px; width: 300px; }


Spelling Bees is a free game designed for young children to begin learning to spell words that are common for their stage of development.
The game works by displaying a fun picture that the child would be familiar with. They choose letters to fill in the blank spaces, learning to correctly spell basic words. Over time these words become sight words, and eventually lead to early spelling development.
Each correctly spelled word adds to a point system. The points are displayed, and added upon as the child progresses.
The goal of the points is to remove a puzzle piece, one by one, eventually revealing a fun picture.
There are several puzzle pieces, requiring multiple rounds to the game. Points are earned for correct responses.
As the rounds progress, they increase in difficulty. While keeping it entertaining the child stays engaged, building confidence as they progress and began to really learn the letters associated with the pictures they see.
In the future we are building more versions for advanced grade levels, to continue to help children learn to spell.
The goal is to be a fun supplement to the child’s education, while experiencing spelling in a different medium, also interacting with technology by using the computer to play the game.


const ( // ConsensusTypeSolo identifies the solo consensus implementation. ConsensusTypeSolo = "solo" // ConsensusTypeKafka identifies the Kafka-based consensus implementation. ConsensusTypeKafka = "kafka" // ConsensusTypeKafka identifies the etcdraft-based consensus implementation. ConsensusTypeEtcdRaft = "etcdraft" // ConsensusTypeSmartBFT identifies the SmartBFT-based consensus implementation. ConsensusTypeSmartBFT = "smartbft" // BlockValidationPolicyKey TODO BlockValidationPolicyKey = "BlockValidation" // OrdererAdminsPolicy is the absolute path to the orderer admins policy OrdererAdminsPolicy = "/Channel/Orderer/Admins" // SignaturePolicyType is the 'Type' string for signature policies SignaturePolicyType = "Signature" // ImplicitMetaPolicyType is the 'Type' string for implicit meta policies ImplicitMetaPolicyType = "ImplicitMeta" // ImplicitOrdererPolicyType is the 'Type' string for implicit orderer policies ImplicitOrdererPolicyType = "ImplicitOrderer" )
func ConfigTemplateFromGroup(conf *localconfig.Profile, cg *cb.ConfigGroup) (*cb.ConfigGroup, error)
func DefaultConfigTemplate(conf *localconfig.Profile) (*cb.ConfigGroup, error)
DefaultConfigTemplate generates a config template based on the assumption that the input profile is a channel creation template and no system channel context is available.
func HasSkippedForeignOrgs(conf *localconfig.Profile) error
HasSkippedForeignOrgs is used to detect whether a configuration includes org definitions which should not be parsed because this tool is being run in a context where the user does not have access to that org's info
func MakeChannelCreationTransaction( channelID string, signer SignerSerializer, conf *localconfig.Profile, ) (*cb.Envelope, error)
MakeChannelCreationTransaction is a handy utility function for creating transactions for channel creation. It assumes the invoker has no system channel context so ignores all but the application section.
func MakeChannelCreationTransactionFromTemplate( channelID string, signer SignerSerializer, conf *localconfig.Profile, template *cb.ConfigGroup, ) (*cb.Envelope, error)
MakeChannelCreationTransactionFromTemplate creates a transaction for creating a channel. It uses the given template to produce the config update set. Usually, the caller will want to invoke MakeChannelCreationTransaction or MakeChannelCreationTransactionWithSystemChannelContext.
func MakeChannelCreationTransactionWithSystemChannelContext( channelID string, signer SignerSerializer, conf, systemChannelConf *localconfig.Profile, ) (*cb.Envelope, error)
MakeChannelCreationTransactionWithSystemChannelContext is a utility function for creating channel creation txes. It requires a configuration representing the orderer system channel to allow more sophisticated channel creation transactions modifying pieces of the configuration like the orderer set.
func NewApplicationGroup(conf *localconfig.Application) (*cb.ConfigGroup, error)
NewApplicationGroup returns the application component of the channel configuration. It defines the organizations which are involved in application logic like chaincodes, and how these members may interact with the orderer. It sets the mod_policy of all elements to "Admins".
func NewApplicationOrgGroup(conf *localconfig.Organization) (*cb.ConfigGroup, error)
NewApplicationOrgGroup returns an application org component of the channel configuration. It defines the crypto material for the organization (its MSP) as well as its anchor peers for use by the gossip network. It sets the mod_policy of all elements to "Admins".
func NewChannelCreateConfigUpdate(channelID string, conf *localconfig.Profile, templateConfig *cb.ConfigGroup) (*cb.ConfigUpdate, error)
NewChannelCreateConfigUpdate generates a ConfigUpdate which can be sent to the orderer to create a new channel. Optionally, the channel group of the ordering system channel may be passed in, and the resulting ConfigUpdate will extract the appropriate versions from this file.
func NewChannelGroup(conf *localconfig.Profile) (*cb.ConfigGroup, error)
NewChannelGroup defines the root of the channel configuration. It defines basic operating principles like the hashing algorithm used for the blocks, as well as the location of the ordering service. It will recursively call into the NewOrdererGroup, NewConsortiumsGroup, and NewApplicationGroup depending on whether these sub-elements are set in the configuration. All mod_policy values are set to "Admins" for this group, with the exception of the OrdererAddresses value which is set to "/Channel/Orderer/Admins".
func NewConsortiumGroup(conf *localconfig.Consortium) (*cb.ConfigGroup, error)
NewConsortiums returns a consortiums component of the channel configuration. Each consortium defines the organizations which may be involved in channel creation, as well as the channel creation policy the orderer checks at channel creation time to authorize the action. It sets the mod_policy of all elements to "/Channel/Orderer/Admins".
func NewConsortiumOrgGroup(conf *localconfig.Organization) (*cb.ConfigGroup, error)
NewConsortiumsGroup returns an org component of the channel configuration. It defines the crypto material for the organization (its MSP). It sets the mod_policy of all elements to "Admins".
func NewConsortiumsGroup(conf map[string]*localconfig.Consortium) (*cb.ConfigGroup, error)
NewConsortiumsGroup returns the consortiums component of the channel configuration. This element is only defined for the ordering system channel. It sets the mod_policy for all elements to "/Channel/Orderer/Admins".
func NewOrdererGroup(conf *localconfig.Orderer) (*cb.ConfigGroup, error)
NewOrdererGroup returns the orderer component of the channel configuration. It defines parameters of the ordering service about how large blocks should be, how frequently they should be emitted, etc. as well as the organizations of the ordering network. It sets the mod_policy of all elements to "Admins". This group is always present in any channel configuration.
func NewOrdererOrgGroup(conf *localconfig.Organization) (*cb.ConfigGroup, error)
NewOrdererOrgGroup returns an orderer org component of the channel configuration. It defines the crypto material for the organization (its MSP). It sets the mod_policy of all elements to "Admins".
Bootstrapper is a wrapper around NewChannelConfigGroup which can produce genesis blocks
type Bootstrapper struct {
// contains filtered or unexported fields
}
func New(config *localconfig.Profile) *Bootstrapper
New creates a new Bootstrapper for generating genesis blocks
func NewBootstrapper(config *localconfig.Profile) (*Bootstrapper, error)
NewBootstrapper creates a bootstrapper but returns an error instead of panic-ing
func (bs *Bootstrapper) GenesisBlock() *cb.Block
GenesisBlock produces a genesis block for the default test chain id
func (bs *Bootstrapper) GenesisBlockForChannel(channelID string) *cb.Block
GenesisBlockForChannel produces a genesis block for a given channel ID
type LocalSigner struct { Signer crypto.LocalSigner SS SignerSerializer }
func (ls *LocalSigner) NewSignatureHeader() (*cb.SignatureHeader, error)
func (ls *LocalSigner) Serialize() ([]byte, error)
func (ls *LocalSigner) Sign(message []byte) ([]byte, error)
type SignerSerializer interface { crypto.Signer crypto.IdentitySerializer }


Select Travel Mode:
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Planning for a trip next summer. Make it to Venice.


Score is: 0 Listen to the melody, and input the corresponding notes. The melody is played only once! There will be 5 rounds. Piano played with mouse or homerow. Play Melody 1
Input answers here: --First Note-- c d e f g a b c1 --Second Note-- c d e f g a b c1 --Third Note-- c d e f g a b c1 Submit Answer


|
|
VTP Enviro Documentation |
Enviro is the VTP runtime environment program. It provides an interactive, realtime 3D navigation of your virtual terrain. There are two primary view modes: Earth View and Terrain View. At startup, you chose which view you want to start with, and you can switch at any time.
We apologize that the Enviro documentation is still rather small.
However, you may find most features to be self-explanatory.
Please check the FAQ then
email any questions you may have.


Preparation time
over 2 hours
Cooking time
10 to 30 mins
Serves
Serves 8
Dietary
When I came to England, wishing desperately to conform, I always produced a homemade Christmas pudding, which none of my children really liked, plus this parrot pudding (as my sons called this soft chocolate nougat), which they loved.
Preheat the oven to 180C/350F/Gas 4.
Spread the almonds on a baking tray and bake for 7-10 minutes, or until they turn golden-brown. Grind them coarsely in a food processor, being careful to stop when they resemble grains of rice.
Cream together the butter and sugar in a bowl until light and fluffy.
Sieve the cocoa and add it to the butter and sugar. Beat hard to incorporate.
Lightly beat together the whole egg and the egg yolk and then add the eggs to the mixture. Stir well until everything is well blended together.
Crush the biscuits with a rolling pin, add to the mixture together with the ground almonds and the orange-flavoured liqueur. Mix thoroughly.
Line a 20x10cm/8inx4in loaf tin with cling film and spoon the mixture into it pressing down all the time to eliminate any air bubbles and, when it is all in, bang the tin hard on the work surface. Cover with cling film and chill for at least four hours.
Get an oval dish, turn the tin upside down over it and peel off the cling film.
Decorate with candied flowers or sugared almonds or whipped cream before serving.


Dual empirical likelihood (DEL) inference under semiparametric density ratio models (DRM) in the presence of multiple samples, including population cumulative distribution function estimation, quantile estimation and comparison, density estimation, composite hypothesis testing for DRM parameters which encompasses testing for changes in population distribution functions as a special case, etc.
| Version: | 1.3.1 |
| Depends: | R (≥ 2.11) |
| Published: | 2015-01-21 |
| Author: | Song Cai |
| Maintainer: | Song Cai <scai at math.carleton.ca> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | drmdel results |
| Reference manual: | drmdel.pdf |
| Package source: | drmdel_1.3.1.tar.gz |
| Windows binaries: | r-devel: drmdel_1.3.1.zip, r-release: drmdel_1.3.1.zip, r-oldrel: drmdel_1.3.1.zip |
| OS X binaries: | r-release: drmdel_1.3.1.tgz, r-oldrel: drmdel_1.3.1.tgz |
| Old sources: | drmdel archive |
Please use the canonical form https://CRAN.R-project.org/package=drmdel to link to this page.


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>Getting Started Guide for UKCloud for VMware
Overview
UKCloud for VMware is a trusted, connected and flexible cloud, based on VMware technology, that enables you to either migrate existing workloads or create new workloads on our secure sovereign cloud platform quickly and easily whilst enjoying the economies of scale of the cloud.
This Getting Started Guide helps get you up and running using UKCloud for VMware, providing basic information about how to log in and set up your environment.
Intended audience
This article is intended for any new UKCloud for VMware user. To complete the steps in this article you must have access to the UKCloud Portal and VMware Cloud Director. To build compute services and virtual data centres (VDCs) you must be a Cloud Director administrator.
Introduction to UKCloud for VMware
We understand that each enterprise application has its own set of technical and service requirements that must be addressed on an individual basis. UKCloud for VMware is highly configurable and gives you the flexibility to use different service levels, VM sizes, security domains, connectivity and data protection options.
You can build completely tailored solutions by mixing and matching service options. The choice doesn't lock you in to one service or size and you can always change it later.
Services within UKCloud belong to an account, which in turn belongs to a company. A company can own multiple accounts. You can use accounts to create separate environments for different projects or, in the case of UKCloud partners, to create separate environments for different customers. Within an account you can have multiple UKCloud services, one of which could be UKCloud for VMware. You can have multiple instances of a service within an account.
Logging in to the UKCloud Portal
You access your UKCloud for VMware environment through the UKCloud Portal, so the first thing you need to do to get started is to log in to the Portal.
The location of the Portal depends on the security domain your service is located in:
Assured OFFICIAL: https://portal.ukcloud.com
Elevated OFFICIAL: Contact your Portal administrator, your Service Delivery Manager (or servicedelivery@ukcloud.com), or UKCloud Support (call 01252 303 300 and select option 2)
You'll need your Portal credentials, which you should have received from your Portal administrator or the Service Delivery team. You may also need to set up two-factor authentication (2FA).
For detailed instructions for how to log in to the Portal, and for more information about all the functionality it provides, see the Getting Started Guide for the UKCloud Portal.
Creating your UKCloud for VMware estate
When you first access UKCloud for VMware, you'll need to create a compute service (sometimes called a vOrg) to act as a top-level container for your cloud resources. As your estate grows, you can add more compute services to logically organise your resources.
 VMs in the same VDC share workload characteristics and have access to the same resources, such as networking infrastructure, storage and external connectivity. We recommend that you organise related VMs within vApps to make your applications easier to manage. For example, you can start all the VMs within a vApp with a single operation, rather than having to start up each VM separately. vApps are also useful to help maintain crash‑consistency within an application in the event of a disaster.
Building a compute service
If you have the appropriate permissions, you can use the Portal to create a compute service in your account, without having to raise a support ticket.
Note
You can also create a compute service using the Portal API. For more information, see UKCloud Portal API Reference Guide
In the UKCloud Portal, if necessary, switch to the account in which you want to create the compute service.
In the navigation panel, expand Tools and then select Create Compute Service.
On the Build Compute Service page, from the Zone radio buttons, select the zone in which you want to create the new compute service.
Note
To create a compute service using the Portal, your environment must be in region 5, 6, 13 or 14.
Enter a Compute Service Name.
Tip
The name can be up to 32 characters long and can include any character except +.
Click Build.
The Build Compute Service Status page displays information about the compute service you're building and lets you know how the build is progressing.
Tip
You can stay on this page until the build is finished, or you can leave this page and check the status of the build later by going to the VMware Cloud Build History report.
When the build is complete, the page displays either a success or fail message.
If the build is successful, you can start building VDCs in your compute service (see Building a virtual data centre).
If the build is unsuccessful, raise a Service Request (quoting the Build ID) to resolve any issues.
Building a virtual data centre
After creating your compute service, the next step is to create one or more VDCs.
Note
You can also create a VDC using the Portal API. For more information, see UKCloud Portal API Reference Guide.
Note
You can build VDCs in any of your compute services in regions 5, 6, 13 and 14, including those created by support tickets or the Portal API, not just those you created using the Portal.
In the Portal navigation panel, expand VMware Cloud and then select the compute service in which you want to create the VDC.
Note
To create a VDC using the Portal, the compute service must be in region 5, 6, 13 or 14.
From the Actions menu, select Build VDC.
Note
If this option is greyed out, either you do not have the appropriate permissions or your compute service is not in region 5, 6, 13 or 14.
On the Build VDC page, from the VM Type radio buttons, select the option that describes the characteristics of the workload of the VDC:
ESSENTIAL. For lower priority workloads, such as temporary applications, data processing or system modelling tasks. VMs in the VDC can have contended compute resource allocation (CPU/RAM) and automated rebalancing is enabled to ensure the workload receives the requested performance.
POWER. For key workloads that are resource intensive, such as web and application workloads, mid-sized databases and caching services. VMs in the VDC have an uncontended compute resource allocation and automated rebalancing is enabled to pre-emptively optimise performance and availability.
PRIORITY. For critical workloads that handle important business processes that benefit from a steady state of operation. VMs in the VDC have an uncontended compute resource allocation and automated rebalancing is configured to reduce workload movement around the platform.
Enter a VDC Name.
Tip
The name can be up to 32 characters long and can include any character except
+
,(
or)
.Click Build.
The VDC Build Status page displays information about the VDC you're building and lets you know how the build is progressing.
Tip
You can stay on this page until the build is finished, or you can leave this page and check the status of the build later by going to the VMware Cloud Build History report.
When the build is complete, the page displays either a success or fail message.
If the build is successful, you can start building VMs. To provide external access to the VDC, you'll need to create an edge gateway (see How to build an edge gateway using the UKCloud Portal).
If the build is unsuccessful, raise a Service Request (quoting the Build ID) to resolve any issues.
Logging in to VMware Cloud Director
After you've created your compute service and VDC, you can start to build up your applications. To do this, you must log in to VMware Cloud Director, which you can access from the UKCloud Portal.
In the Portal navigation panel, expand VMware Cloud then select your compute service.
On the VMware Cloud Director tab, for additional security, re-enter your UKCloud Portal password, then click Confirm.
VMware Cloud Director launches in your browser window.
The tasks you can perform in VMware Cloud Director will depend on the permissions you have been granted.
For more information, see How to manage permissions for VMware Cloud Director.
To return to the UKCloud Portal, click your user name in the top right corner, and select Log out.
Next steps
In this Getting Started Guide, you've learned:
About your UKCloud for VMware environment and how your estate is organised
How to log in to the UKCloud Portal
How to create a compute service and VDC to set up your environment
How to log in to VMware Cloud Director so that you can start to build your applications
Now that you've set up your basic environment, you can start building your applications. If you want to get up and running quickly, you can take a look at How to build a virtual machine with UKCloud for VMware, which provides a walkthrough of the process.
For more detailed information about the different aspects of your UKCloud for VMware environment, see:
To create virtual machines to define your applications:
To create a VDC network to enable your virtual machines to communicate with each other and the outside world:
To configure your edge gateway to control access to your VMs:
Glossary
This section provides a glossary of terms specific to UKCloud for VMware. For a full list of terms, see the UKCloud Glossary.
| Term | Definition |
|---|---|
| account | Within the UKCloud for VMware environment there are two types of account:
|
| company | A UKCloud construct to organise business accounts. Each company can own multiple accounts. |
| compute service | A top-level container within a customer account that includes a VMware Cloud Director organization and its VDCs, catalogues, users and resources. |
| UKCloud for VMware | A UKCloud IaaS service that provides a compute infrastructure specifically designed to deliver traditional enterprise applications to the cloud. |
| ESSENTIAL | A type of VM that may have contended resource allocation. Automated rebalancing is enabled to ensure the workload receives the requested performance. |
| POWER | A type of VM with uncontended compute resource allocation. Automated balancing is enabled to pre-emptively optimise performance and availability. |
| PRIORITY | A type of VM with uncontended compute resource allocation. Automated balancing is configured to reduce workload movement around the platform, reducing workload disruption. |
| vApp | A container for VMs that enables you to group related VMs together to manage them in one place. |
| virtual data centre (VDC) | A container for VMs, where each VM has the same workload characteristics and access to the same resources, such as networking infrastructure, storage and external connectivity. |
| virtual machine (VM) | Software that emulates the functionality of a physical computer, running an operating system and applications. Customers can define a VM's resource requirements and the UKCloud platform optimises its placement to ensure it receives the requested resources. |
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


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Calculator
The calculator example demonstrates the most basic concepts of HiveMind; the difference between <create-instance> and <invoke-factory>, the fact that services are, by default, created only as needed, and the ability of hivemind.BuilderFactory to automatically wire services together. It also demonstrates the behavior of the hivemind.LoggingInterceptor.
The logging configuration enables logging for the hivemind logger; that and the logging interceptors produces quite a bit of output. You can see that a proxy is created for services initially, and that the "core service implementation" for the service is created later ... the core service implementation consists of an instance of the service's POJO class, wrapped with any interceptors (the logging interceptor, in this case).
The Registry is built from the following module deployment descriptor:
<?xml version="1.0"?> <!-- Copyright 2005 The Apache Software Foundation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <module id="examples" version="1.0.0" package="org.apache.examples"> <service-point id="Adder"> <create-instance class="impl.AdderImpl"/> <interceptor service-id="hivemind.LoggingInterceptor"/> </service-point> <service-point id="Subtracter"> <create-instance class="impl.SubtracterImpl"/> <interceptor service-id="hivemind.LoggingInterceptor"/> </service-point> <service-point id="Multiplier"> <create-instance class="impl.MultiplierImpl"/> <interceptor service-id="hivemind.LoggingInterceptor"/> </service-point> <service-point id="Divider"> <create-instance class="impl.DividerImpl"/> <interceptor service-id="hivemind.LoggingInterceptor"/> </service-point> <service-point id="Calculator"> <invoke-factory> <!-- Most properties are autowired by the BuilderFactory --> <construct class="impl.CalculatorImpl"/> </invoke-factory> <interceptor service-id="hivemind.LoggingInterceptor"/> </service-point> <service-point id="ProxyLoggingInterceptor" interface="org.apache.hivemind.ServiceInterceptorFactory"> <create-instance class="impl.ProxyLoggingInterceptorFactory"/> </service-point> <service-point id="Target" interface="TargetService"> <create-instance class="impl.TargetServiceImpl"/> <interceptor service-id="ProxyLoggingInterceptor"/> </service-point> </module>
The service-point for the Calculator service is very simple ... as the comment indicates, the BuilderFactory is capable of locating the other services (Adder, Subtracter, etc.) by their interface, rather than requiring set-service elements to connect properites to services (using the target service's ids). These properties of the Calculator implementation are autowired to the matching services. Autowriring works only because just a single service within the entire Registry implements the specific interface. You would see errors if no service implemented the interface, or if more than one did.
This module descriptor also demonstrates two new feature of HiveMind 1.1:
- A package name is provided in the <module> element, allowing class names to be abbreviated when referenced elsewhere in the descriptor.
- The interface attribute of <service-point> is omitted, because it defaults to the service point id.
Running the examples
After compiling the examples, you can use Ant to run them:
bash-2.05b$ ant run-calculator Buildfile: build.xml run-calculator: [java] Calculator [DEBUG] Creating SingletonProxy for service examples.Calculator [java] Inputs: 28.0 and 4.75 [java] Calculator [DEBUG] Constructing core service implementation for service examples.Calculator [java] Subtracter [DEBUG] Creating SingletonProxy for service examples.Subtracter [java] Calculator [DEBUG] Autowired service property subtracter to <SingletonProxy for examples.Subtracter(org.apache.hivemind.examples.Subtracter)> [java] Divider [DEBUG] Creating SingletonProxy for service examples.Divider [java] Calculator [DEBUG] Autowired service property divider to <SingletonProxy for examples.Divider(org.apache.hivemind.examples.Divider)> [java] Multiplier [DEBUG] Creating SingletonProxy for service examples.Multiplier [java] Calculator [DEBUG] Autowired service property multiplier to <SingletonProxy for examples.Multiplier(org.apache.hivemind.examples.Multiplier)> [java] Adder [DEBUG] Creating SingletonProxy for service examples.Adder [java] Calculator [DEBUG] Autowired service property adder to <SingletonProxy for examples.Adder(org.apache.hivemind.examples.Adder)> [java] Calculator [DEBUG] Applying interceptor factory hivemind.LoggingInterceptor [java] Calculator [DEBUG] BEGIN add(28.0, 4.75) [java] Adder [DEBUG] Constructing core service implementation for service examples.Adder [java] Adder [DEBUG] Applying interceptor factory hivemind.LoggingInterceptor [java] Adder [DEBUG] BEGIN add(28.0, 4.75) [java] Adder [DEBUG] END add() [32.75] [java] Calculator [DEBUG] END add() [32.75] [java] Add: 32.75 [java] Calculator [DEBUG] BEGIN subtract(28.0, 4.75) [java] Subtracter [DEBUG] Constructing core service implementation for service examples.Subtracter [java] Subtracter [DEBUG] Applying interceptor factory hivemind.LoggingInterceptor [java] Subtracter [DEBUG] BEGIN subtract(28.0, 4.75) [java] Subtracter [DEBUG] END subtract() [23.25] [java] Calculator [DEBUG] END subtract() [23.25] [java] Subtract: 23.25 [java] Calculator [DEBUG] BEGIN multiply(28.0, 4.75) [java] Multiplier [DEBUG] Constructing core service implementation for service examples.Multiplier [java] Multiplier [DEBUG] Applying interceptor factory hivemind.LoggingInterceptor [java] Multiplier [DEBUG] BEGIN multiply(28.0, 4.75) [java] Multiplier [DEBUG] END multiply() [133.0] [java] Calculator [DEBUG] END multiply() [133.0] [java] Multiply: 133.0 [java] Calculator [DEBUG] BEGIN divide(28.0, 4.75) [java] Divider [DEBUG] Constructing core service implementation for service examples.Divider [java] Divider [DEBUG] Applying interceptor factory hivemind.LoggingInterceptor [java] Divider [DEBUG] BEGIN divide(28.0, 4.75) [java] Divider [DEBUG] END divide() [5.894736842105263] [java] Calculator [DEBUG] END divide() [5.894736842105263] [java] Divide: 5.894736842105263 BUILD SUCCESSFUL Total time: 3 seconds


{% extends 'base.html' %} {% block title %} Learning Log | Delete topic {% endblock %} {% block header %}
Are you sure you want to delete the topic "{{ topic }}"?


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The default mode... just your regular basic average blast of confetti. But it's still a little cool, right?
 Shoot a random amount of confetti in random directions. (Go ahead... you know you want to click that button more than once.)
If you happened to get curious and changed the particle count to 400 or so, you saw something disappointing. An even "flattened cone" look to the confetti, making it look way too perfect and ruining the illusion. We can fix that by mixing a few effects together.
You can combine multiple calls to confetti with any settings in order to create a more complex effect. Go ahead, combine different shapes, sizes, etc. Stagger them for an extra boost of excitement.
✨ Celebrate with a burst of stars! ✨
Why click a button repeatedly when you can have code do it for you? Shoot some firework of confetti from the sides of page so you can still read the content in the center.
The effect is not limited to crazy rapid fire of confetti though. You can create a wintery mood with gently falling particles across the entire page.
But if you are into crazy rapid fire of confetti, what could be a better use than to show everyone what you are all about?  You can limit where the confetti appear by providing your own canvas element.


--- layout: page title: About Me description: This is what I do. background: '/img/bg-about.jpg' ---
I am Utpal Bora, a doctoral student at IIT Hyderabad, India. My research area is Programming Languages and Compiler Optimizations.
Currently I am working on improving vectorization opportunities in the LLVM compiler infrastructure.
My research interest also includes polyhedral compilation techniques.
My hometown is Jorhat. A place 280km to East of Guwahati. I have been living out of my hometown for past 11 years and I miss every now and then the greenary and frequent showers. Hoping to go back to Assam pretty soon.


Beautiful beef roast on the grill, potato salad with lemon, mustard and fresh herbs. Good night for dinner at the Clark's house.
6/8/2009, 7:48:10 PM
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link--- layout: tweet ---
Beautiful beef roast on the grill, potato salad with lemon, mustard and fresh herbs. Good night for dinner at the Clark's house.
6/8/2009, 7:48:10 PM
Favs: 0
Retweets: 0
link


Hammerin' Hank's Fruit Market!
Your Bank: $ 100.00
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DXM (sold as Ecstasy), Mushrooms - P. cubensis & Amphetamines (Adderall)
After reading many glowing reports, I had decided to try mixing MDMA with P. Cubensis in the warm and earthy environment surrounding a close friend's apartment. The outing was planned as a typical 'back to nature' forest trek that usually brings me home and centers me as an individual in a large metropolitan area. Unfortunately, my rustic foray took a decidedly unopportune turn for the worse...
I went into the experience as calm and prepared as possible. I had packed water, snacks, flashlights, and other supplies in a light backpack suited for hiking. Inside one of the inner pockets was nestled two tablets of what was sold as MDMA, three grams of mushrooms, and one twenty milligram prescription dosage of Adderall. Prior to saying farewell to my friend and promising to return in four or five hours, I had taken a long bath, dressed warmly, and finished my preparation rituals with twenty minutes of meditation. Right before leaving, I snorted forty milligrams of Adderall for extra energy, hoping to find the right balance between the lethargy of the mushrooms and the joyful bouyancy of the MDMA. Full of vigor and ready for eye-opening natural wonder, I skipped out of the apartment and into the ajoining woods at 5 in the evening.
Earlier, I had decided to take the mushrooms first, deal with any nausea, and then eat the two MDMA tablets. I had hoped that the light lunch I had eaten beforehand would cut down on any stomach pains, as I am unfortunately prone to cramps and vomiting after ingesting mushrooms. I ate the three grams of mushrooms at around 5:30, washed them down with water, and decided to wait out any possible problems in the secluded glen I had found close to where the forest began. After waiting thirty minutes, I felt safe enough to ingest the two tablets, noting a funny taste as I chewed and swallowed, but ascribing it to the 'shroom residue. For a lark, I threw in the remaining Adderall, reminding myself that I would want to stay awake and write down my experiences after the trip.
Within an hour I realized I had not taken two tablets of MDMA. It was nearing 7 o'clock, and the mushrooms were fading the edges of the world a little, but from the synthetic tryptamine corner not a peep. I tend to metabolize MDMA very quickly, and so I wondered what else I might have foolishly ingested on blind faith from a dealer I knew and thought I could trust. MDA, with its slower onset, was my first guess, and I felt no particular need to turn back and find a sitter. I am normally very confident with my own ability to handle a trip.
By 8 o'clock the sun had set and I realized that I had not ingested MDA or a derivitive. The boomers were going strong, the Adderall was adding a harsh paranioac twinge to the forest, and on top of these two dark buzzes was a third that seemed to both intesify the psychedelic apparitions and space everything out. No feelings of openness or natural bliss. Just a trippy alien forest-scape, lying dangerous and restless in its own shadow. Things got weird...
I had found a small creek in the forest.. 'found' being relative considering how hopelessly and dismally lost I had become. I sat on the creek-bed and stared at a huge sea turtle swimming against the current. The hallucination was open-eyed and captivating. At this point I lost much of my conception of linear time. I could have been staring into the creek for seconds or minutes. Movement was slow and choppy, less flow than normal mushroom intoxication. Concentration could be both irritatingly lacking and painfully overdrawn. The amphetamine was pretty well snuffed by the other chemicals in my system at this point, except for the effects on my heart. All through the trip my heart was beating like a turbine.
While there were many strange and discordant themes during the trip, the most interesting for me were the bewildering conversations with people that weren't there and the overwhelming feeling of a conflict between good and evil. I would begin feeling as if the forest was a dark haven of evil and that I was a sort of white knight who had been sent to destroy the powers that had infested nature. People I knew would appear in order to offer advice or just talk about the nature of good and evil. I would continue talking to them for minutes before realizing that they could not, would not, and should not be in the forest with me. At that they would dissapear only to be replaced by another phantasm. The last of these apparitions was what I can only describe as some kind of tank/armageddon image that seemed a manifestation of the evil around me. I finally realized at this point that I was losing control, and sat down to breathe and meditate until the visions passed, which they eventually did.
By this time it was around midnight, and the 'shrooms had lost most of their kick. I was mentally fatigued but somehow able to summon up enough rationale to find my way back to the apartment by one in the morning. I looked a wreck when I stumbled into the foyer of my friends' loft, and he was able to take my picture before I stumbled into bedroom to rest. My eyes were ridiculously dilated, and my hair was covered in leaves and dirt from when I decided to go look for the turtle in the creek by submerging my head and peering around. After another two hours or so of tossing, turning, and talking to very vivid hallucinations, the DXM wore off enough to allow me to rest peacefully.
About two days later Dancesafe had posted the two tabs I had bought and informed me that what I had taken really was DXM. The experience was one I would not care to have again, but did reenforce to me the benefits of sitters and meditation. DXM and 'shrooms is a dissociative whirlpool... VERY spacey and threatening. Interesting as all hell, but make sure you ground yourself in the right setting.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% extends 'base.html' %} {% block content %}
This is an application that will help people who want to get real-time news without having to watch TV for the news. The website will show news articles from several sources and news sources that a user can click to see more news. The application consumes news from the News API.
The news vary from sports, business culture, medical and a wide variety of it.
{% endblock %}


/etc/passwd
/etc/master.passwd
/etc/shadow
/var/db/shadow/hash
/etc/group
/etc/hosts
/etc/motd
/etc/issue
/etc/release
/etc/redhat-release
/etc/crontab
/etc/inittab
/proc/version
/proc/cmdline
/proc/self/environ
/proc/self/fd/0
/proc/self/fd/1
/proc/self/fd/2
/proc/self/fd/255
/etc/httpd.conf
/etc/apache2.conf
/etc/apache2/apache2.conf
/etc/apache2/httpd.conf
/etc/httpd/conf/httpd.conf
/etc/httpd/httpd.conf
/etc/apache2/conf/httpd.conf
/etc/apache/conf/httpd.conf
/usr/local/apache2/conf/httpd.conf
/usr/local/apache/conf/httpd.conf
/etc/apache2/sites-enabled/000-default
/etc/apache2/sites-available/default
/etc/nginx.conf
/etc/nginx/nginx.conf
/etc/nginx/sites-available/default
/etc/nginx/sites-enabled/default
/etc/ssh/sshd_config
/etc/my.cnf
/etc/mysql/my.cnf
/etc/php.ini
/var/mail/www-data
/var/mail/www
/var/mail/apache
/var/mail/nobody
/var/www/.bash_history
/root/.bash_history
/var/root/.bash_history
/var/root/.sh_history


[gecode-users] Gecode 3.5.0 faster than Gecode 3.7.0?
Kish Shen
kisshen at cisco.com
Wed Sep 14 14:12:22 CEST 2011
Hi Christian,
Thanks for your reply!
The documentation for both 3.7.0 and 3.5.0 say that the single value
count constraint achieves domain consistency. I thought you can't really
do better (more pruning) than domain consistency for single constraints,
or am I mistaken?
Cheers,
Kish
On 14/09/2011 09:35, Christian Schulte wrote:
> This is most likely due to the count constraint. In Gecode 3.7.0 it tries to
> do more pruning and that might cause the slow down (and your examples might
> not necessarily profit from the additional pruning).
>
> Cheers
> Christian
>
> --
> Christian Schulte, KTH, web.it.kth.se/~cschulte/
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Kish Shen
> Sent: Tuesday, September 13, 2011 6:41 PM
> To: users at gecode.org
> Subject: [gecode-users] Gecode 3.5.0 faster than Gecode 3.7.0?
>
> Hi,
>
> I have just upgrade the ECLiPSe interface to Gecode from Gecode 3.5.0 to
> 3.7.0. As I am currently doing some work on improving the performance of the
> interface, I have been doing some timings with example programs, and to my
> surprise, one of the example is running consistently faster with 3.5.0. The
> run-times are:
>
> 3.5.0: 16.34s
> 3.7.0: 19.99s
>
> The only change between these two is the version of Gecode used (plus the
> changes in the C++ code needed for the upgrade, i.e. the #include for the
> graph and scheduling modules).
>
> As the program is written in ECLiPSe, there is no direct record of the
> actual Gecode API calls made. The problem is the "roster" example from the
> ECLiPSe website, modified for use with the Gecode interface. This example is
> solving a simple rostering problem, and there are a lot of relational
> constraints posted, plus some boolean expressions, all posted via the
> MiniModel, and there are also some count contraints (occurrences of one
> value variant). The search is done in ECLiPSe, i.e. not using the
> search-engines of Gecode.
>
> Is the above information sufficient for even guessing what the slow down
> might be due to? If not, what additional information might be needed?
>
> Cheers,
>
> Kish
>
> --
> This e-mail may contain confidential and privileged material for the sole
> use of the intended recipient. Any review, use, distribution or disclosure
> by others is strictly prohibited. If you are not the intended recipient (or
> authorized to receive for the recipient), please contact the sender by reply
> e-mail and delete all copies of this message.
> Cisco Systems Limited (Company Number: 02558939), is registered in England
> and Wales with its registered office at 1 Callaghan Square, Cardiff, South
> Glamorgan CF10 5BT.
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
--
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recipient (or authorized to receive for the recipient), please contact
the sender by reply e-mail and delete all copies of this message.
Cisco Systems Limited (Company Number: 02558939), is registered in
England and Wales with its registered office at 1 Callaghan Square,
Cardiff, South Glamorgan CF10 5BT.
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Yeah! How does that work ?
Not good, dont know how do align two different tags in the same line
How you doing?


| NAIF Mice Toolkit Hypertext Documentation |
|
Introduction to the SPICE System - an introduction to the SPICE system. Introduction to MATLAB Implementation of SPICE - an overview of the MATLAB version of SPICE, Mice. Mice Toolkit Contents - a brief description of the Mice Toolkit layout and contents. Most Used Mice APIs - a list of most frequently used Mice APIs grouped by category. Mice API Reference Guide - a list of all Mice APIs with hyperlinks to API specific documentation. Mice API Permuted Index - an index that helps identify the proper API based on functional requirements. Required Reading Documents - the collection of reference documents describing the various SPICE subsystems. (Most of these documents cover CSPICE modules rather than Mice modules but provide general information applicable to both.) User's Guides - the set of manuals for those applications included in the Mice Toolkit. What's New in SPICE - a summary of additions and changes from one Toolkit version to the next. naif.jpl.nasa.gov - the NAIF Web site providing SPICE data for various missions, additional SPICE utilities and documentation. THIS
SOFTWARE AND ANY RELATED MATERIALS WERE CREATED BY THE CALIFORNIA
INSTITUTE OF TECHNOLOGY (CALTECH) UNDER A U.S. GOVERNMENT
CONTRACT WITH THE NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA).
THE SOFTWARE IS TECHNOLOGY AND SOFTWARE PUBLICLY AVAILABLE UNDER U.S.
EXPORT LAWS AND IS PROVIDED "AS-IS" TO THE RECIPIENT WITHOUT WARRANTY
OF ANY KIND, INCLUDING ANY WARRANTIES OF PERFORMANCE OR MERCHANTABILITY
OR FITNESS FOR A PARTICULAR USE OR PURPOSE (AS SET FORTH IN UNITED
STATES UCC SECTIONS 2312-2313) OR FOR ANY PURPOSE WHATSOEVER, FOR THE
SOFTWARE AND RELATED MATERIALS, HOWEVER USED. IN
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Sophie Balint, 23, said Tommy and his older brother Ozzy, 4, discovered the chewing gum in a drawer as she was decorating on November 8.
The horrified mum discovered the the pair chewing gum and ordered them them to spit it out but after a few minutes the toddler began to sweat and vomit, before becoming 'lifeless'.
The youngster is now recovering after being rushed to hospital, WalesOnline reports .
Sophie, of Port Talbot, Wales said: "It was in their mouths for a couple of minutes and the next thing Tommy starting crying and saying he had a bad belly.
"Within five minutes he started being sick and within about 15 or 20 minutes he was lifeless lying on the floor. He couldn't lift his arms and his eyes were rolling.
"Luckily the next door neighbour was a first aider so he came to help. He was on the phone to the ambulance and we had to lie him on the sofa flat and keep him awake."
Ms Balint added that she has spoken out about the terrifying incident to warn parents of the dangers of "poisonous" nicotine products on children.
According to the NHS, large amounts of nicotine can prove "life threatening" to children.
Symptoms of nicotine toxicity overdose or poisoning including vomiting, sweating, drowsiness, shaking, confusion and seizures.
Sophie, who works within the electroplating industry, said: "The first aiders were there within 15 minutes but he had to stay there until the ambulance came.
"He was like that for around two and a half hours and by the time the ambulance came he had come around.
"The doctors said 80% of it had gone by that time. It was only 4mg nicotine so that was quite low.
"They said if he had chewed the whole packed it could have shut his organs down."
Both Sophie and Tommy were taken to hospital where the toddler was kept for a couple of hours for observation.
Sophie said: "They did some tests to check his heart and check his blood but he was back to normal.
"The doctor who saw Tommy was shocked, he had never seen anything like this. He had no idea how toxic it is."
She added: "In the house you wouldn't keep paracetamol in a drawer but there might be chewing gum. People don't know about this
"It was so scary. He's normally such a busy boy, he doesn't stop talking, so to see him lifeless [was terrifying].
"He's quite big for his age, if he was little and skinny for his age I don't want to think about what could have happened.
"I was hysterical. Ozzy showed us what he had taken, and he was so good trying to keep the baby awake."


Amartya Sanyal
I will be starting as Assistant Professor in
Machine Learning in the
Department of Computer Science in University of
Copenhagen from Summer, 2024 and will also be an
Affiliated Assistant Professor in the
Department of Mathematics.
I am a postdoctoral fellow at the Empirical Inference
group in Max Planck
Institute for Intelligent Systems, Tubingen where I
work closely with
Prof. Bernhard Schölkopf . Prior to this, I was a
postdoctoral fellow at ETH Zurich AI Center
where I worked closely with Prof. Fanny Yang .
I completed my DPhil (PhD) at the
Department of
Computer Science, University of Oxford, funded by
the Turing
Doctoral Studentship. I was also a member of the
Torr Vision
Group. My DPhil advisors were Varun
Kanade and
Philip H.S. Torr. I am also a member of the ELLIS Society.
Prior to that, I completed my undergraduate (B.Tech in
Computer Science) at the Indian Institute
of Technology, Kanpur. On various occassions, I
have spent time at
Facebook AI Research (FAIR),
Twitter Cortex , Laboratory for
Computational and Statistical Learning, Montreal Institute of
Learning Algorithms , and Amazon ML.
Email /
GitHub /
Google Scholar /
CV
|
|
Job Advertisement
I will be advertising PhD/Postdoc positions soon on
this page (around October, 2023) for start in September 2024
or soon thereafter! Reach out to me if you are interested (and
refer to this paragraph below in your email) in pursuing a PhD
with me on topics in
- Trustworthy Machine Learning including
differential privacy, robustness, certification, fairness
etc and
- Learning with limited and imperfect data
including unlabelled data, noisy data, and under
distribution shift.
If you are interested in other topics, especially in Theory and
Foundations of Machine Learning, that you think will also be of
interest to me, feel free to send me an email describing your
past work, an ideal project you would like to work on in your
first year, and why it may be interesting to me.
|
Research Interests
I am interested in understanding both theoretical and
empirical aspects of Trustworthy Machine Learning
including privacy, robustness, fairness. In
particular, I am focusing on the impacts that
inadequate data and computation may have on the
trustworthiness of ML algorithms, especially under
adversarial settings, and how one can solve these
issues with reasonable approximations and relaxations
including semi-supervised and self-supervised
learning.
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