## florian cramer
words becoming flesh is the symbolic turning physical (“in the beginning was the word”). this is what magic is.
In his essay, Cut-ups self-explained, Gysin argues that “Words have a vitality of their own.” Through permuting them, he writes, one can make them “gush into action.” The result is an “expanding ripple of meanings which they [i.e. the words] did not seem to be capable of when they were struck into that phrase.”
programming is not just a formalism (a set of rules), but semantic in-itself (a meaningful activity).
two ways of doing magic: imitation and proximity. there is parallel with jakobson’s linguistic theory. - imitation is metaphor - proximity is metonymy
pythagoras’s philosophy of codified organization: Heraclitus is one of the earliest purveyors of Pythagorean ideas: “Combinations, wholes and not-wholes, conjunction and separation, concord and discord—out of all things comes One, and out of One all things,” or, in a different translation: “What goes against each other is joining; what strives apart creates the most beautiful harmony.”
The Pythagorean project consists of the extraction and application of a universal numerical code that organizes both nature and art. This code allows the cre- ation of a correspondence between macrocosm and microcosm and describes harmony, in the sense of beautiful numerical proportions, as the guiding principle of the world. And for the first time, it allows the computation of nature and art. (this is what eco calls the hermetic paradigm: anything can be turned into numbers, and thus manipulated)
the history of software begins with magic (acting, but without being explicitly set in symbols) and pythagoras (mathematically codified explanation of the world, but with no execution)
The “semantics” of a programming language however have nothing to do with artificial intelligence or cognitive computing, but simply refer to the style in which the artificial language is coded, i.e. which denominators, metaphors and other semantic handles are being used to reference non-semantic operations. > what are the features and the consequences of that style?
ars memoria> The question remains whether extending the visual illusionism and immersion of computer user interfaces to 3D simulation will really yield systems superior to software interfaces based on the notation and grammar of written language. what is that superiority?
with leibniz and harsdorffer, language itself is thought to be computational and algorithmic, a program (all language is programming language). it allows for linguistic analysis and synthesis.
Both Abulafia’s and Kuhlmann’s biographies exemplify how computational execution of language transgresses the formal and intellectual realm, turning into a radical practice. Code is not just arbitrary symbols, but also execution. once formal execution is considered a cosmological principle, it becomes synonymous with performative execution.
freedom is based on code as being executable (its technical function). through recursivity (endlessly applicable), it becomes the poetic, philosophical and economic trope in which freedom can be materialized and grasped: described as source code, it is also controlled by source code. information as a code that turns into political action.
Information is only what has an impact, reaching and impregnating its recipients just like the execution of a program code mobilizes matter (and people).
crypto-theology of information (in another sense, cultural obfuscation)
The step from writing to action is no longer metaphorical, as it would be with a semantic text such as a political speech or a manifesto. It is concrete and physical because the very code is thought to materially contain its own activation; as permutations, recursions or viral infections.
the various poetics and cultural practices of formally executable code include: - totality (synthesis) vs. fragmentation (analysis) - rationalization vs. occultism - hardware vs. software - syntax vs. semantics - artificial language vs. natural language —
theosophic (god controls the world) vs. game (a world in itself) computing harsdorffer saw poetry as a social game combinatorial poetics stands against individualism (and vice versa)
the library of babel is objective, contingent, but it cannot prove that it is the book the library of babel. the world is still at the mercy of the observer.
concrete poetry: In the spirit of high modernism and functionalist architecture, most of concrete poetry sought to systematically reduce, rationalize and functionalize literature. (elaborated in gomriger, from line to constellation > “restriction -constraint and simplification- is the very essence of poetry”)
dispositif of programming languages (even more so than natural languages): self-reference which would make the system implode in a recursive paradox of text and context
intellectual father of concrete poetry: max bense and information aesthetics + abrahm moles manifesto
the response to bense’s objective formalism is the situationist internationale (.walk
computer program implements psychogeography). psycho geographic demystifies computing (makes it simple) and liberates the imagination of what a computer can be and what a computer can serve
university of speculative programming (link dead) includes: - pataphysics (poetic, absurdist pata- and non-science) - casting spells on the OS (self-reflexive, including at the hardware level) - social intelligence (chatbots, etc.) - reflecting on the culture of computation
speculative programming is a an attempt to integrate all philosophies of computation. computation becomes a figure of thought and reflection in both theory and artistic practice. it models computation after the arts/speculative imagination
there is a source code of a program called Travesty in a 1984 issue of BYTE magazine, then published in Programming Perl by Larry Wall.
we’re still working with formulas -there is no way to turn software into an anti-formal, anti-deterministic technology (those formalisms are always meaningful)
the algorithm is the immutable center of the stochastic system (a formalism that is not part of the game)
literature as formula??
Artistic generators like those of Sollfrank reverse the model. They redefine authorship as the artistic design of an algorithmic process and, once this process is set into motion, the observation and reflection of its effects.
What sets apart Sollfrank’s generator from Tzara’s poem however is that it explores its philosophical, aesthetic, legal and political implications in a more rigorous and systematic way.
people hope that the machine transcends itself
formalisms, on the contrary, have a cultural semantics of their own, even on the most primitive and basic level. With a cultural semantics, there inevitably is an aesthetics, subjectivity and politics in computing.
and yet I can also argue the contrary: the formalisms themselves come from technical/material realities which are then explained/framed/justified by framed realities. double movement
oulipo - self-characterized as naive, craftsman-like and amusing
is computation a means to transcend limitations (max bense) or just a constraint (oulipo) who needs humans/imagination to be transcended?
codeworks > This is not simply a poetic metaphorization because the technical apparatus of writing becomes a part of the text. There is a feedback of textual input, output and processing inside the text and within the medium of code. This conflation of source code, data and processing could be called recursive, since recursion means that a process processes itself. Yet it is not a formal-mathematically “clean” recursion. The text is not a result of a pure computation, but involves human editing, rendering the recursion a simulation, rhetorical, reflexive.
georges perec’s Die Maschine is a tribute to Goethe’s poem as a powerful text which makes all formal processing running amok and fail because its semantics resist syntactical processing.
N.N codeworks
apparently computation can be done in the medium of language itself?? software = algorithms + data + speculative imagination + abstraction layer of control + human practices (expected or unexpected) and where is the limit to hardware?
algorithms as tools (for sublime) vs. as material for aesthetic play algorithms as they relate to nature vs. as they relate to culture algorithms as a means to destroy semantics vs. as a means to create semantics freedom vs. enslavement synthesis vs. analysis chaos vs. structure


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Primark guard preyed on shoplifting teenage girls
A Primark security guard has been found guilty of sexually assaulting teenage girls he accused of shoplifting.
Zia Uddin, 27, from east London, attacked four 15-year-old girls while working at the Kingston store in 2017.
Uddin threatened the teenagers with calling the police and their parents if they did not perform sexual acts on him in the control room of the store.
He was convicted of one count of rape and four counts of causing or inciting a child to engage in sexual activity.
Kingston Crown Court heard Uddin's colleagues had noticed his strange behaviour, which included making requests to delete CCTV, and not properly completing paperwork on shoplifting.
He was also known to keep condoms in the control room, the Crown Prosecution Service (CPS) said.
Once detained, some victims offered to pay for the items they had stolen, suggested they could work in the store to make amends, or even never enter the shop again.
However, once alone in the back office, Uddin, from Manor Park in Newham, made clear he was only interested in sexual acts in exchange for letting them go.
Prosecutors said one girl only did as he asked because "there was no other choice" and it was the only way out of the situation.
Graham Partridge, from the CPS, said Uddin "preyed on young girls in a vulnerable situation".
"He abused his authority by telling them to perform sexual acts for him on the promise they would then be released without their parents or the police being informed about what they had done.
"Having worked in security, Uddin was also well aware of the CCTV camera 'blind spots' and took advantage of these in order to carry out his offending."
'Horrendous ordeal'
He added that Uddin claimed all the victims were liars and refused to take responsibility for his actions.
Uddin will be sentenced next Tuesday.
A spokeswoman for Primark said: "This has been a horrendous ordeal for the victims and their families and we are truly sorry for what they have suffered. Our thoughts are very much with them.
"The nature of these offences is shocking and distressing.
"Zia Uddin abused the trust that was placed in him by his employer, Brooknight Security, and by us, by taking advantage of his victims, who were young and vulnerable."


Hi! My name is Cha Ji hyeon.
I'm 20 years old.
my major is international trade & interpretation.
From now on, I'll introduce about myself on this page.
Name : Cha ji hyeon (Chloe)
Age : 20
Hometown : Daegu
Adress : GGU dorm 322
Vocation : Univ student
Major : International trade & interpretation
Club : 깨소금(student council,2015), 아이라잌산(I like mountain,2016)
Favorite color : Olive, White, Lavender
The reason why I make this page : assignment of webdesign class
Contact to JH
Nonsan, Korea
Phone:<PHONE_NUMBER>7
Email: ckwlgus9737@naver.com


We made this after being frustrated with what Citibike offered online. The app has so much going on that it doesn't seem to work at all most of the time.
We wanted something SIMPLE that would tell us where to find a bike where we were and where to find an open dock at our destiniation.
Still very much in progress so check us out and fork us on
Github. Looks OK on a phone so bookmark to your homepage.


I'm originally from the state of Michigan surrounded by the beautiful Great Lakes, but I also visited the Philippines in 2016.
I'm originally from the state of Michigan surrounded by the beautiful Great Lakes, but I also visited the Philippines in 2016.


Interactors Interactors add a layer of abstraction over event bindings. They are designed to make it easier to add interaction to your graphics, and to make it possible to implement complex and highly-dynamic user interaction. How interactors work An overview of interactor classes Managing graphical selections


I often find myself asking if I’m happy with how I spend my time. I knew the answer was no, but I had no idea where that dissatisfaction came from.
So, I took a weekend to write down my goals. I wanted to understand what I was distracting myself from and which fears were preventing me from accomplishing my goals:
Short term goals:
- Disconnect intentionally, feel safe and secure in that decision.
- Be proud of myself, and what I feel.
- Prefer relationships to work.
- Do the things I want to do.
- Be early. For everything.
- Explore my world.
Long term goals:
- Help those I care about.
- Love deeply.
Fears:
- I'm not adding value to whatever I'm working on.
- My difficulties are really inabilities.
- Trusting others.
- Academia.
What I learned.
Fears are much easier to identify than goals. That’s a hard pill to swallow since I know fears take away from the motivation goals provide.
I can’t measure any of my current goals. That’s scary to me, because my mathematical mind believes anything that can’t be measured doesn’t exist.
This last year, I lost most of my trust for some of the closest people around me. Also, I’ve become jaded with academia’s self-centered nature (all the pressure’s to publish to establish your “expertise”, citations as a metric of success, affirming command of a topic by tacking “, right?” to the end of a sentence). That being said, some of the people I hold in the highest of esteem are in academia… I’m just not sure it’s the thing for me.
I’m glad I put some thought on this. I hate not having all the answers or an un-relenting drive / passion for my work at all times ( I’m not sure whether that’s the perfectionist in me or society talking). It’s hard not to get discouraged when comparing yourself to titans all the time. But then, perhaps the most exciting part of all this is the volatility.


|
document2html
1.0
Documents to HTML converter
|
A collection of background-related attributes of XF record. More...
#include <format.hpp>
Public Attributes | |
| int | m_fillPattern = 0 |
| XFColor | m_backgroundColor |
| XFColor | m_patternColor |
A collection of background-related attributes of XF record.
Items correspond to those in the Excel UI's Format
-> Cells
-> Patterns
tab.
| XFColor excel::XFBackground::m_backgroundColor |
Background color
| int excel::XFBackground::m_fillPattern = 0 |
Background fill pattern. Section 3.11 of the OOo docs
| Value | Description |
|---|---|
| 0 | None |
| 1 | Solid |
| 2 | Medium gray |
| 3 | Dark gray |
| 4 | Light gray |
| 5 | Dark horizontal |
| 6 | Dark vertical |
| 7 | Dark down |
| 8 | Dark up |
| 9 | Dark grid |
| 10 | Dark trellis |
| 11 | Light horizontal |
| 12 | Light vertical |
| 13 | Light down |
| 14 | Light up |
| 15 | Lightg rid |
| 16 | Light trellis |
| 17 | Gray 125 |
| 18 | Gray 0625 |
| XFColor excel::XFBackground::m_patternColor |
Pattern color


Will not allow NRC in Bengal, there will be no division on the basis of religion: Mamata
“No one can take away your citizenship and turn you into a refugee.”
by PTIWest Bengal Chief Minister Mamata Banerjee assured people that she will never allow NRC in the state even as Union Home Minister Amit Shah on Wednesday said a citizen’s list on the lines of the exercise in Assam will be carried out across the country.
The TMC supremo sought answers from the BJP over exclusion of 14 lakhs Hindus and Bengalis from the final NRC list in Assam.
“There are few people, who are trying to create disturbance in the state in the name of implementation of NRC. I want to make it very clear, we will never allow NRC in Bengal. No one can take away your citizenship and turn you into a refugee. There can be no division on the basis of religion,” Ms. Banerjee said while addressing a public meeting here.
Before talking about implementing NRC in West Bengal, the BJP should answer why 14 lakhs Hindus and Bengalis were omitted from the final NRC list in Assam, she said.
The proposed implementation of the citizen’s list or the National Register of Citizens in Bengal has created panic claiming 11 lives in the state following the omission of about 19.6 lakh names from the final NRC list in Assam.


- t - Variable in class tracer.paths.Gesture.SpaceTimePoint
-
- toShape(Path) - Static method in class tracer.paths.Shape
-
Converts an arbitrary type of Path into a Shape, using the sampleCount
from the Path.
- toShape(Path, int) - Static method in class tracer.paths.Shape
-
Converts an arbitrary type of Path into a Shape, using a given
sampleCount.
- toShape(Path, int, float) - Static method in class tracer.paths.Shape
-
Converts an arbitrary type of Path into a Shape, using a given
sampleCount, with its starting point offset by a one-dimensional coordinate.
- toString() - Method in class tracer.paths.Arc
-
- toString() - Method in class tracer.paths.Blender
-
- toString() - Method in class tracer.paths.Circle
-
- toString() - Method in class tracer.paths.Composite
-
- toString() - Method in class tracer.paths.CubicBezier
-
- toString() - Method in class tracer.paths.Ellipse
-
- toString() - Method in class tracer.paths.Gesture.SpaceTimePoint
-
- toString() - Method in class tracer.paths.Gesture
-
- toString() - Method in class tracer.paths.InfinitySymbol
-
- toString() - Method in class tracer.paths.Line
-
- toString() - Method in class tracer.paths.Lissajous
-
- toString() - Method in class tracer.paths.Plot
-
- toString() - Method in class tracer.paths.Rect
-
- toString() - Method in class tracer.paths.Rose
-
- toString() - Method in class tracer.paths.Segment
-
- toString() - Method in class tracer.paths.Shape
-
- toString() - Method in class tracer.paths.Superellipse
-
- toString() - Method in class tracer.paths.Supershape
-
- toString() - Method in class tracer.Point
-
- toString() - Method in class tracer.Tracer
-
- toString() - Method in class tracer.TStyle
-
- touches(float, float, float, float, float, float) - Static method in class tracer.paths.Line
-
Returns true if the given point comes in close enough contact with the
line.
- touches(float, float, float, float, float, float, float) - Static method in class tracer.paths.Line
-
Returns true if the line defined by (ax, ay) and (bx, by) comes within
the given radius to any point in the line.
- touches(float, float, float) - Method in class tracer.paths.Line
-
Returns true if the given point comes within the given radius to any
point in the line.
- touches(float, float) - Method in class tracer.paths.Line
-
Returns true if the given point comes in close enough contact with the
line.
- trace(Point, float) - Method in class tracer.paths.Arc
-
- trace(Point, float) - Method in class tracer.paths.Blender
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Circle
-
- trace(Point, float) - Method in class tracer.paths.Composite
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.CubicBezier
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Ellipse
-
- trace(Point, float) - Method in class tracer.paths.Gesture
-
- trace(Point, float) - Method in class tracer.paths.InfinitySymbol
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Line
-
- trace(Point, Point, Point, float) - Static method in class tracer.paths.Line
-
Interpolates between the line defined by (a.x, a.y) and (b.x, b.y) by the
given amount (a value between 0 and 1) and stores the result in the given
point.
- trace(Point, float, float, float, float, float) - Static method in class tracer.paths.Line
-
Interpolates between the line defined by (ax, ay) and (bx, by) by the
given amount (a value between 0 and 1) and stores the result in the given
point.
- trace(Point, float) - Method in class tracer.paths.Lissajous
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.MultiPath
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.MultiShape
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Path
-
Given a 1D coordinate, a float, maps the coordinate to a 2D coordinate
and stores it in a given Point.
- trace(float) - Method in class tracer.paths.Path
-
A continuous function from real values (floats) to Points.
- trace(Point, float) - Method in class tracer.paths.Plot
-
- trace(Point, float) - Method in class tracer.paths.Rect
-
- trace(Point, float) - Method in class tracer.paths.Rose
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Segment
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Shape
-
- trace(Point, float) - Method in class tracer.paths.Superellipse
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.Supershape
-
Behavior *****
- trace(Point, float) - Method in class tracer.paths.TranslatedPath
-
Behavior *****
- tracer - package tracer
-
- Tracer<T extends Path> - Class in tracer
-
A Point that moves along a Path at some rate of speed, possibly speeding up and slowing down according to the curve specified by an Easing.
- Tracer(Tracer<T>) - Constructor for class tracer.Tracer
-
Copy constructor.
- Tracer(T, float, float) - Constructor for class tracer.Tracer
-
- Tracer(T, float, float, Easing) - Constructor for class tracer.Tracer
-
- tracer.easings - package tracer.easings
-
- tracer.paths - package tracer.paths
-
- tracer.renders - package tracer.renders
-
- translate(float, float) - Method in class tracer.paths.Arc
-
Events *****
- translate(float, float) - Method in class tracer.paths.Blender
-
Events *****
- translate(float, float) - Method in class tracer.paths.Circle
-
Events *****
- translate(float, float) - Method in class tracer.paths.Composite
-
Events *****
- translate(float, float) - Method in class tracer.paths.CubicBezier
-
Events *****
- translate(float, float) - Method in class tracer.paths.Ellipse
-
Events ******
- translate(float, float) - Method in class tracer.paths.Gesture
-
Events *****
- translate(float, float) - Method in class tracer.paths.InfinitySymbol
-
Events *****
- translate(float, float) - Method in class tracer.paths.Line
-
Events *****
- translate(float, float) - Method in class tracer.paths.Lissajous
-
Events *****
- translate(float, float) - Method in class tracer.paths.MultiPath
-
- translate(float, float) - Method in class tracer.paths.MultiShape
-
- translate(float, float) - Method in class tracer.paths.Path
-
Shifts this Path dx units in the x-direction and dy units in the
y-direction.
- translate(float, float) - Method in class tracer.paths.Plot
-
Events *****
- translate(float, float) - Method in class tracer.paths.Rect
-
Events *****
- translate(float, float) - Method in class tracer.paths.Rose
-
Events *****
- translate(float, float) - Method in class tracer.paths.Segment
-
Events *****
- translate(float) - Method in class tracer.paths.Segment
-
Translates the segment's location within its path by the given 1D value.
- translate(float, float) - Method in class tracer.paths.Shape
-
- translate(float, float) - Method in class tracer.paths.Superellipse
-
Events *****
- translate(float, float) - Method in class tracer.paths.Supershape
-
Events *****
- translate(float, float) - Method in class tracer.paths.TranslatedPath
-
Events *****
- translate(float, float) - Method in class tracer.Point
-
Shifts this Point dx units in the x-direction and dy units in the
y-direction.
- translate(Point) - Method in class tracer.Point
-
Shifts this Point by (translation.x, translation.y)
- TranslatedPath<T extends Path> - Class in tracer.paths
-
A TranslatedPath is a Path that wraps another Path, translating it by a given Point.
- TranslatedPath(Point, T) - Constructor for class tracer.paths.TranslatedPath
-
Constructs a Path that is the given Path translated by the given Point.
- TranslatedPath(TranslatedPath<T>) - Constructor for class tracer.paths.TranslatedPath
-
Clones the CenteredPath.
- TranslatedPath(float, float, T) - Constructor for class tracer.paths.TranslatedPath
-
Constructs a Path that is the given Path translated by the given Point.
- TStyle - Class in tracer
-
- TStyle(PStyle) - Constructor for class tracer.TStyle
-
- TStyle(int, int, float, int, int, boolean, boolean) - Constructor for class tracer.TStyle
-
- TStyle() - Constructor for class tracer.TStyle
-


This package takes LENA™ .its
(Iterative Time Segments) files, extracts LENA™ automatic annotations, attaches real time, and outputs .csv
files of recordings, conversation & pause blocks, segments, centiseconds, seconds and/or minutes.
This package is not available on CRAN. To install this package from GitHub, you will also need the package devtools
. Run the code below to install ITSbin on your computer.
if(!"devtools" %in% installed.packages()[,"Package"]) {
install.packages("devtools")
}
devtools::install_github("htanderson/ITSbin", dependencies = TRUE)
If R asks to “install from packages requiring compilation”, type n
.
This package has 4 functions intended to be run in order.
check_multiday
Checks whether LENA™ .its
files have recordings which start on more than one day and may be too long to process.
This package cannot handle ITS files in which recordings start on more than one day, due to excessive memory (RAM) requirements (recordings that span multiple days are fine). If an ITS file has recordings which start on more than one day, the ITS_to_seconds script will not process this file and note which files have issues in ITS_file_checks.csv
. The file SUBJID_recordings.csv
will contain the list, dates, and times of recordings present in the ITS file.
remove_recordings
If check_multiday
identified .its
files with recordings which start on more than one day, use this function to separate those recordings into multiple .its
files before running ITS_to_seconds
ITS_to_seconds
Takes in a LENA™ .its
file and outputs user-specified CSV files of ITS recordings, ITS blocks, ITS segments, centiseconds-since-midnight, & seconds-since-midnight.
bin_seconds
Takes files in seconds-since-midnight and flexibly bins them into user-defined minutes. Options include: bin to any integer of minutes, sequential or rolling windows, rows align to midnight or rows align to time recorder was first turned on, & subset data based on one column before binning. Detailed explanation & examples of use: bin_seconds-options
The functions check_multiday
, ITS_to_seconds
, & bin_seconds
run over all relevant files in an entire folder, while the function remove_recordings
runs over 1 .its
file at a time.
Most help files can be accessed within R by typing ?functionname, eg
?ITS_bin::ITS_to_seconds
?bin_seconds
For detailed explanations of the column names of each output file, see below links.
Possible outputs for each input ITS file:
ITS_to_seconds
For each .its file run through ITS_to_seconds
, you can choose to output any of the below CSV files. Of these, the Seconds option is necessary to bin to minutes through the bin_seconds
function. The default is to output only the Seconds file.
Recordings Explanations of column names and possible values from ITS Recordings level .CSV files from check_multiday
and ITS_to_seconds
.
Blocks Explanations of column names and possible values from ITS Blocks level .CSV files from ITS_to_seconds
.
Segments Explanations of column names and possible values from ITS Segments level .CSV files from ITS_to_seconds
. NOTE: Order and number of Segments columns varies within each file, based on when sounds occurred during the recording. Additionally, each segment can contain multiple child utterance, cry, and nonspeech vocalization columns.
Centiseconds Explanations of column names and possible values from Centiseconds .CSV files from ITS_to_seconds
function.
Seconds Explanations of column names and possible values from Seconds .CSV files from ITS_to_seconds
function.
bin_seconds
Binned Seconds/Minutes Explanations of column names and possible values from binned seconds/minutes .CSV files from bin_seconds
function. Detailed explanation & examples of use: bin_seconds-options
Outputs from each ITS_to_seconds
function run
For the below outputs, one CSV will be output per folder run through ITS_to_seconds
.
ITS_checks ITS_checks.csv output from check_multiday
& ITS_to_seconds
column name explanations
Validation Column name explanations for ITS_script_validation.csv & ValidationFails.csv output from ITS_to_seconds
. These columns indicate whether the ITS_to_seconds
function ran as expected. Examples include checking whether each data.table has the expected number of columns and rows, and whether sums of values in the Segments data.table match the same sums of values in the Centiseconds data.table. Possible values for all columns are TRUE
or FALSE
. If a cell is NA
, processing was started but not completed for that file. Levels that have been processed will have validation columns, whether or not they were output as CSV files.
processing_completed Column name explanations for processing_completed.csv output from check_multiday
& ITS_to_seconds
. The purpose of this CSV is to keep track of what has/has not been completed in a given run of check_multiday
or ITS_to_seconds
. check_multiday
will only have the first 3 fields, while ITS_to_seconds
will have all fields listed.


DLDialogBox Reference
DLDialogBox
DLDialogBox is an easy to use dialog solution for iOS games made with cocos2d. DLDialogBox takes care of many details and functionalities of a dialog box in standard RPG games so you don’t have to.
[insert omg screenshot]
Check out the features and screenshots below to get an idea of what you can do with DLDialogBox.
You can also take a casual stroll around DLDialogBox’s website.
Key Features
- Powerful Customizations: You can customize almost every aspect of a DLDialogBox :sunglasses: (See Usage)
- Easy to Use: Its as easy as
[DLDialogBox dialogWithTextArray:array defaultPortrait:nil]
. - Beautiful Presets: Customize your dialogs with the beautiful presets I wrote for you. (See Screenshots)
- Integrated Choice Dialogs: Asking for user input is now super easy with DLDialogBox! :heart_eyes:
- Awesome Examples & Documentations: Fully documented + Clean Demo project = :moneybag:
[insert i’m awesome gif]
Screenshots
Requirements
- ARC
- iOS 5.0 or higher
- cocos2d for iPhone 2.1 or higher
Installation
CocoaPods
Manual Install
All you need to do is to drop the DLDialogBox
folder into your project.
Optionally, you can remove the DLDialogBox.bundle
file if you do not plan to use any of my provided fonts or sprites. Just make sure to specify a different fntFile
and pageFinishedIndicator
sprite for the dialogs as the default customizer will use my provided resources.
Get Started
Usage
Known Bugs
- DLSelectableLabel does not support center alignment right now. Therefore you cannot center align choice labels in a DLChoiceDialog.This is a cocos2d bug.
Notes
DLDialogBox is created by Draco Li when he is chilling at home with his laptop on while listening to The Developer Song in Toronto, Canada.
Credits
License
Licensed under MIT. Whoopeee!


THE GREAT FLAMARION A Film Review Copyright Dragan Antulov 1999
Erich von Stroheim, Austrian-born actor, writer and director is one of the most recognisable Hollywood icons. His image is usually associated with silent era spectacles or his own directorial megalomania and clashes with producers, which made him one of the most tragic personalities of Old Hollywood. At the end of his career, von Stroheim employed his instantly recognisable image in various character roles. But few of us would dare to turn von Stroheim into film noire protagonist. In 1945, Anthony Mann did just that in THE GREAT FLAMARION.
The plot of this film is relatively simple. Flamarion (played by Von Stroheim) is expert marksman, who lives ascetic life and works as performer in variety shows. His latest act features him as an jealous husband, with two of his assistants - beautiful Connie Wallace (played by Mary Beth Hughes) and Al (played by Dan Duryea) playing adulterous lovers.  So, Connie decides to get rid of the husband by seducing Flamarion. Since his tragic experience with opposite sex twenty years ago, Flamarion is resisting Connie's seduction, but not enough. Soon he would fall in love with her and take part in her scheme to get rid of the husband by arranging Al's "accidental" death on the stage.
THE GREAT FLAMARION in 78 minutes of its length shows us craftsmanship of Old Hollywood, but nothing more. All familiar elements of film noire are here - crimes of passion, fatal brunette, comeuppance and explanatory flashbacks. Idea to make contrast between stage and real life relationship between the characters seems interesting. Actors are OK - Duryea gives very convincing and almost sympathetic alcoholic, and Mary Beth Hughes is more than believable as femme fatale. Unfortunately, von Stroheim seems somewhat unconvincing in his role - his character transforms too quickly and his character isn't explored properly. All in all, THE GREAT FLAMARION is good film that could be recommended for the lovers of classic cinema, but those who want to truly appreciate von Stroheim and Mann should try to watch other films.
RATING: 6/10 (++)
Review written on December 13th 1999
Dragan Antulov a.k.a. Drax Fido: 2:381/100 E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>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


The page you are looking for doesn't seem to want to be found. Maybe it's having a chemical imbalance?


A busy holiday town on the north coast of the Peljesac peninsula.
Position 43°0.7'N, 17°16.2'E.
Moor to the quay west of the ferry berth or to the breakwater, although from here you will require a dinghy to get ashore.
Anchoring outside the harbour exposes the yacht to the bora or sirocco wimds.
The Harbour Master's office is on the western side of the harbour.
Last updated February 2010.


{% extends 'base.html' %} {% load base_extras incidents_extras inventory_extras %} {% block content %}
| Name | Status | Severity | Created at | {% for machine_incident in incidents %} {% with machine_incident.incident as incident %}
|---|---|---|---|
| {{ incident.name }} | {{ machine_incident.get_status_display }} | {% incident_severity incident.severity %} | {{ machine_incident.created_at }} |


Launch Navigator - Ionic Example
Destination
Westminster, London, UK
51.498739, -0.133827 (Westminster)
[Custom destination]
Start
None (current location)
Manchester, UK
53.493002, -2.240080 (Manchester)
[Custom start]
Navigate


We are a volunteer community supported agriculture organization founded in 2004.
For for info please email Loch.


VCAP_SERVICES:
Source repo:
Processing path:
BuildPack: Liberty NodeJS Java
Target environment: OpenShift IBM Kubernetes Services IBM Cloud Private


{% extends "base_analyze.html" %}
{% set active_page = 'similarity' %}
{% block head %}
{% endblock %}
{% block title %}analyzer{% endblock %}
{% block options %}
{% endblock %}
{% block results %}
The module used to produce this ranking employs Latent Semantic Analysis to generate unique vectors for each document. The cosine angle between your comparison document's vector and the vector of each document of your corpus is calculated, and these values are then compared. Cosine similarity measures can be between (0, 1), and the higher the value, the closer the comparison document's vector is to that document's vector as opposed to the other documents' vectors.
{% if (similaritiesgenerated) and docsListScore != 'Error'%}


Commentary: India's RCEP exit is a setback, but not a disaster
by Jeffrey WilsonWith an India–China deadlock out of the way, the path to finalise the historic regional trade agreement is clear, says the Perth USAsia Centre's Jeffrey Wilson.
PERTH: India’s decision to withdraw from the Regional Comprehensive Economic Partnership (RCEP) agreement has been framed as a catastrophe.
Coming at a time of growing rivalries among the major global powers, most analysts have argued it augurs poorly for political cooperation and economic integration in the Indo-Pacific.
But while India’s RCEP exit is definitely a setback, it is not a disaster. And if it clears the way for this landmark trade agreement, it may have a silver lining.
WHY THE RCEP MATTERS
RCEP is a very large agreement with systemic impact on regional and global trading systems.
Now comprised of 15 economies with a combined 29 per cent share of world GDP, it is on par with North American Free Trade Agreement (NAFTA) and larger than the European Union. It also brings together a diverse range of countries, from developing economies in Southeast Asia to global powerhouses such as Japan, Korea and China.
Somewhat understandably, this required a devilishly complicated process.
Since first mooting in 2011, there have been 29 rounds of formal negotiations and dozens more intersessional dialogues and ministerial meetings.
Brokering consensus among many governments over trade rules for tens of thousands of products is neither a quick nor easy task.
READ: Commentary: Why India walked away from Asia’s mega free trade deal
READ: What is the RCEP trade deal and what happens now?
INDIA'S CONCERNS
In recent years, progress began to slow, due to a growing rift between India and China.
India, which maintains some of the most protectionist trade policies in the region, expressed concerns that its market would be flooded by Chinese imports.
Its requests for special India-China arrangements have been opposed, as this would not be in keeping with RCEP’s design as a genuinely multilateral bloc.
Whether Indian fears of a Chinese “import surge” are valid or not, it has become clear that India is neither comfortable nor ready to join a multilateral trade agreement with other major economies.
India’s withdrawal is certainly a heavy blow. India is a major regional economy and will be one of the world’s fastest growing in the next 20 years.
It is also a strategic partner for many countries in the Indo-Pacific, and will now find itself on the outside of a core piece of the regional architecture.
India’s departure, however, also clears the way for negotiations.
THE SILVER LINING
With China-India negotiations at a deadlock, there was no feasible landing point that would produce a robust RCEP agreement.
The remaining 15 members have declared their intent to finish the final arrangements – without India – and sign the agreement in 2020. For the first time in RCEP’s history, the finish line is now in sight.
READ: Commentary: Concluding the high-stakes RCEP in 2019 will need a different approach
RCEP will also be an important piece of the regional economic architecture. While it will likely contain only modest market access gains for Australian exporters, it must be remembered that RCEP is primarily a developing-country trade bloc.
These economies must manage developmental challenges in a number of sensitive sectors, such as agriculture and services. Measured by the reform capability of its membership, RCEP is reasonably ambitious.
Perhaps more importantly, RCEP will deliver a single and integrated set of trade rules for the Indo-Pacific. This will put the region on par with North America and Europe, who have had integrated trading arrangements for over two decades.
It will also help unlock cross-border value chains, which need region-wide trade rules to manage industries spread over multiple countries.
A CONCLUDED RCEP SENDS A STRONG MESSAGE
Finally, we should remember the geopolitical context in which RCEP is being created. The world today is beset by trade warfare and economic conflict, with global growth spluttering as a result.
Meanwhile, trusted international institutions such as the World Trade Organisation are crumbling under protectionist attacks.
READ: Commentary: The global retreat of free trade has just begun
RCEP runs against the prevailing tide of hostilities and sends a strong message that regional governments are committed to a cooperative, multilateral, and rules-based economic order.
India’s RCEP withdrawal is disappointing for the Indo-Pacific. But in the current climate, a successful agreement is too important to the region to delay.
Jeffrey Wilson is Research Director of the Perth USAsia Centre. This article first appeared on Lowy Institute’s blog The Interpreter.


A reinforcement learning (RL) task in PyBrain always consists of a few components that interact with each other: Environment, Agent, Task, and Experiment. In this tutorial we will go through each of them, create the instances and explain what they do.
But first of all, we need to import some general packages and the RL components from PyBrain:
from scipy import *
import sys, time
from pybrain.rl.environments.mazes import Maze, MDPMazeTask
from pybrain.rl.learners.valuebased import ActionValueTable
from pybrain.rl.agents import LearningAgent
from pybrain.rl.learners import Q, SARSA
from pybrain.rl.experiments import Experiment
from pybrain.rl.environments import Task
Note
You can directly run the code in this tutorial by running the script docs/tutorials/rl.py.
For later visualization purposes, we also need to initialize the plotting engine (interactive mode).
import pylab
pylab.gray()
pylab.ion()
The Environment is the world, in which the agent acts. It receives input with the performAction() method and returns an output with getSensors(). All environments in PyBrain are located under pybrain/rl/environments.
One of these environments is the maze environment, which we will use for this tutorial. It creates a labyrinth with free fields, walls, and an goal point. An agent can move over the free fields and needs to find the goal point. Let’s define the maze structure, a simple 2D numpy array, where 1 is a wall and 0 is a free field:
structure = array([[1, 1, 1, 1, 1, 1, 1, 1, 1],
[1, 0, 0, 1, 0, 0, 0, 0, 1],
[1, 0, 0, 1, 0, 0, 1, 0, 1],
[1, 0, 0, 1, 0, 0, 1, 0, 1],
[1, 0, 0, 1, 0, 1, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 1, 0, 1],
[1, 1, 1, 1, 1, 1, 1, 0, 1],
[1, 0, 0, 0, 0, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1, 1, 1, 1]])
Then we create the environment with the structure as first parameter and the goal field tuple as second parameter:
environment = Maze(structure, (7, 7))
Next, we need an agent. The agent is where the learning happens. It can interact with the environment with its getAction() and integrateObservation() methods.
The agent itself consists of a controller, which maps states to actions, a learner, which updates the controller parameters according to the interaction it had with the world, and an explorer, which adds some explorative behavior to the actions. All standard agents already have a default explorer, so we don’t need to take care of that in this tutorial.
The controller in PyBrain is a module, that takes states as inputs and transforms them into actions. For value-based methods, like the Q-Learning algorithm we will use here, we need a module that implements the ActionValueInterface. There are currently two modules in PyBrain that do this: The ActionValueTable for discrete actions and the ActionValueNetwork for continuous actions. Our maze uses discrete actions, so we need a table:
controller = ActionValueTable(81, 4)
controller.initialize(1.)
The table needs the number of states and actions as parameters. The standard maze environment comes with the following 4 actions: north, south, east, west.
Then, we initialize the table with 1 everywhere. This is not always necessary but will help converge faster, because unvisited state-action pairs have a promising positive value and will be preferred over visited ones that didn’t lead to the goal.
Each agent also has a learner component. Several classes of RL learners are currently implemented in PyBrain: black box optimizers, direct search methods, and value-based learners. The classical Reinforcement Learning mostly consists of value-based learning, in which of the most well-known algorithms is the Q-Learning algorithm. Let’s now create the agent and give it the controller and learner as parameters.
learner = Q()
agent = LearningAgent(controller, learner)
So far, there is no connection between the agent and the environment. In fact, in PyBrain, there is a special component that connects environment and agent: the task. A task also specifies what the goal is in an environment and how the agent is rewarded for its actions. For episodic experiments, the Task also decides when an episode is over. Environments usually bring along their own tasks. The Maze environment for example has a MDPMazeTask, that we will use. MDP stands for “markov decision process” and means here, that the agent knows its exact location in the maze. The task receives the environment as parameter.
task = MDPMazeTask(environment)
Finally, in order to learn something, we create an experiment, tell it both task and agent (it knows the environment through the task) and let it run for some number of steps or infinitely, like here:
experiment = Experiment(task, agent)
while True:
experiment.doInteractions(100)
agent.learn()
agent.reset()
pylab.pcolor(controller.params.reshape(81,4).max(1).reshape(9,9))
pylab.draw()
Above, the experiment executes 100 interactions between agent and environment, or, to be exact, between the agent and the task. The task will process the agent’s actions, possibly scale it and hand it over to the environment. The environment responds, returns the new state back to the task which decides what information should be given to the agent. The task also gives a reward value for each step to the agent.
After 100 steps, we call the agent’s learn() method and then reset it. This will make the agent forget the previously executed steps but of course it won’t undo the changes it learned.
Then the loop is repeated, until a desired behavior is learned.
In order to observe the learning progress, we visualize the controller with the last two code lines in the loop. The ActionValueTable consists of a scalar value for each state/action pair, in this case 81x4 values. A nice way to visualize learning is to only consider the maximum value over all actions for each state. This value is called the state-value V and is defined as V(s) = max_a Q(s, a).
We plot the new table after learning and resetting the agent, inside the while loop. Running this code, you should see the shape of the maze and a change of colors for the free fields. During learning, colors may jump and change back and forth, but eventually the learning should converge to the true state values, having higher scores (brighter fields) the closer they are to the goal.


Discussion on log4j and logging in general are held on the log4j-user mailing list. To subscribe to this list send an e-mail to<EMAIL_ADDRESS>Development related discussions are held on the log4j-dev mailing list. To subscribe to this list send an e-mail to<EMAIL_ADDRESS>All developers are encouraged to subscribe to the log4j-dev list which will notify the subscribers of any commits to our CVS repository.
To prevent spam, we expect you to be subscribed to a list before posting to it. Otherwise, your mail needs to be approved by an administrator which delays your posting and creates needless work for us.
Most Logging Services mailing lists, in particular the log4j mailing lists, are archived. Some of the known archives are listed below:
Please do your best to ensure that you are not sending HTML or "Stylelized" email to the list. If you are using Outlook or Outlook Express or Eudora, chances are that you are sending HTML email by default. There is usually a setting that will allow you to send "Plain Text" email.
Bugs should be reported by using the Apache Bug Database. Before reporting a problem, please make sure to check the database and the project history file to see if the problem is not already known. Before filing a report, you should first send email to the log4j-user mailing list describing the bug ensuring that you are not filing an already known problem. Only after these precautionary steps should you file a bug report with Bugzilla.
Although Bugzilla allows users to file enhancement requests as bugs, enhancement requests are not bugs and should not be treated as such. The preferred way to request for enhancements is by posting on the log4j-user list. This allows other interested parties to participate in the ensuing discussion.
Just reporting a bug will not fix it. A good bug report includes a detailed description of the problem and a succinct test case which can reproduce the problem.


Vuex Intergation.
Tree Module "A". Synchronizes with the neighbor (-------->)
Loading...
Tree Module "B". Does not synchronize with the neighbor (<-------)


The workshop and associated shared task are an effort to trigger a systematic investigation on improving state-of-the-art hybrid machine translation, making use of advanced machine-learning (ML) methodologies. It follows the ML4HMT-11 workshop which took place last November in Barcelona. The first workshop also road-tested a shared task (and associated data set) and laid the basis for a broader reach in 2012.
We are soliciting original papers on hybrid MT, including (but not limited to):
Full papers should be anonymous and follow the COLING full paper format
The main focus of the Shared Task is to address the question:
“Can Hybrid MT and System Combination techniques benefit from extra information (linguistically motivated, decoding, runtime, confidence scores, or other meta-data) from the systems involved?”
Participants are invited to build hybrid MT systems and/or system combinations by using the output of several MT systems of different types, as provided by the organisers. While participants are encouraged to explore machine learning techniques to explore the additional meta-data information sources, other general improvements in hybrid and combination based MT are welcome to participate in the challenge. For systems that exploit additional meta-data information the challenge is that additional meta-data is highly heterogeneous and (individual) system specific.
Shared task participants are invited to submit system description papers (7 pages, not anonymised) and should follow COLING short paper format.
The ML4HMT-12 Shared Task involves (ES-EN) and (ZH-EN) data sets, in each case translating into EN.
data/tuningDataESEN.tar.bz2
(57.1 MB)data/ml4hmt-12.testDataESEN.tar.bz2
(6.1 MB)Participants are challenged to build an MT mechanism where possible making effective use of the system-specific MT meta-data output. They can provide solutions based on open-source systems, or develop their own mechanisms. The development set can be used for tuning the systems during the development phase. Final submissions have to include translation output on a test set, which will be made available one week after training data release. Data will be provided to build language/reordering models, possibly re-using existing resources from MT research.
Participants can also make use of additional (linguistic analysis, confidence estimation, etc.) tools, if their systems require so, but they have to explicitly declare this upon submission, so that they are judged as "unconstrained" systems. This will allow for a better comparison between participating systems.
Shared task results should be submitted via email attachment. Please compress your results as .zip or .gz archive and send them via email. Use ML4HMT-12 Shared Task Submission
as mail subject. Shared task results are due by extended October 28th.
System output will be judged via peer-based human evaluation as well as automatic evaluation. During the evaluation phase, participants will be requested to rank system outputs of other participants through a web-based interface (Appraise; Federmann, 2010). Automatic metrics include BLEU (Papineni et.al., 2002), TER (Snover et.al., 2006) and METEOR (Lavie, 2005).
Results from the automatic evaluation of submitted shared task results will be made available to participants on updated November 12th so that they could be referred to in system description papers. As the manual evaluation will take longer, its results will be presented and published at the workshop.
Papers need to be written in English and can either be 1) research papers, or 2) shared task system description papers. Please indicate the type of your submission by choosing the correct "Submission Type". Note that research papers need to be properly anonymised; system description papers may include author information. Paper submission deadline for research papers is extended October 22nd while system description papers need to be submitted on updated November 12th.
If you are interested in our workshop and intend to participate, we'd much appreciate if you could inform us about your participation intent beforehand so that we can better plan the workshop; to do so, send an email. Participation is required for at least one author of any accepted paper.


| 051:049 Yusufali | : |
And of every thing We have created pairs: That ye may receive instruction. |
| 051:050 Khan | : |
So flee to Allah (from His Torment to His Mercy Islamic Monotheism), verily, I (Muhammad SAW) am a plain warner to you from Him. |
| 051:050 Maulana | : |
So flee to Allah. Surely I am a plain warner to you from Him. |
| 051:050 Pickthal | : |
Therefor flee unto Allah; lo! I am a plain warner unto you from him. |
| 051:050 Rashad | : |
You shall escape to GOD. I am sent by Him to you as a manifest warner. |
| 051:050 Sarwar | : |
(Muhammad), tell them,"Seek refuge in God. I have been sent from Him to plainly warn you. |
| 051:050 Shakir | : |
Therefore fly to Allah, surely I am a plain warner to you from Him. |
| 051:050 Sherali | : |
Flee ye, therefore, unto ALLAH. Surely, I am a plain Warner unto you from Him. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > وحدانيته Pillars of Islam> Islamic> Oneness of Allah> Singularity and Being Unique أركان الإسلام > (محمد (صلى الله عليه وسلم > تأييد رسالته Pillars of Islam> The Blessed Muhammad(PBUH)> Supporting his Message الإيمان > الله جلّ جلاله > التوكل عليه جلّ وعلا Faith> Allah, Glory to his Majesty> Trust In Allah
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


{{< layout}} {{$pageTitle}}Your name{{/pageTitle}} {{$header}} {{#values.change-name}}
Tell us the name on {{> partials-applicant-your-their}} {{> partials-information-compared-to-document}} and any other names {{> partials-applicant-you-they}} have been known by. For example {{#nunjucks}} {% if values['applicant-age'] >= 16 or values['rising-16'] == true %} a maiden name, a previous married name or {% endif %} {{/nunjucks}} a name you were given at birth and changed later.
{{/values.change-name}} {{^values.change-name}}For example {{#nunjucks}} {% if values['applicant-age'] >= 16 or values['rising-16'] == true %} a maiden name, a previous married name or {% endif %} {{/nunjucks}} a name you were given at birth and changed later. You must tell us every name you've used.
{{#radio-group}}previous-name{{/radio-group}} {{/values.change-name}} {{#input-submit}}{{/input-submit}} {{/form}} {{/ hmpo-partials-form}} {{/content}} {{/ layout}}


--- layout: post title: "Canonical Store Issues" date: 2010-07-05 02:21:06 +0000 permalink: /2010/07/05/canonical-store-issues/ category: Misc redirect_from: - /blog/canonical-store-issues/ ---
I hate to use this as a venue to address issues I'm having with the Canonical Store, but I'm somewhat disappointed in it. On the 21st of June, I ordered the "Ubuntu Certified Professional - Exam Bundle." As of today, I still have not been able to get the codes to register for my exams with Pearson VUE. Last week, I contacted Merchandise Mania (the operators of the Canonical Store) and they said they would pass my concerns on to Canonical and someone would contact me "if they can help." I still haven't heard anything. So if anyone involved with this at Canonical reads this, I'd greatly appreciate an update.
Update: I was contacted this morning by a very nice Canonical employee who has gotten me sorted out. It's this kind of customer service that I appreciate in a company. Thanks, Canonical!


Scale AI Interview Presentation
May 13, 2020
Matthew Guay
<EMAIL_ADDRESS><EMAIL_ADDRESS>https://heyitsguay.github.io/scaletalk/
### About me - **Matthew Guay**. Postdoctoral applied computer vision researcher at the NIH. - Background in applied math, scientific computing, image processing, and computer vision. - I love working where computer vision innovation is needed to solve interesting application challenges.
### About me - **Undergrad**: Cornell 2011, B.A. Mathematics. Undergrad thesis on defining weird PDE solutions on fractals.
[Paper]
.
[Presentation]
.
### About me - **Grad school**: UMD 2016, Ph.D. AMSC. Thesis on sparse signal processing in digital and biological systems:
[Paper]
.
[Presentation]
.
### About me - **Postdoc**: Working with
LCIMB
@ NIH on automating segmentation problems for biological electron microscopy.
### Technical challenges - Just finished: Scaling a tough 3D semantic segmentation problem.
[Paper]
.
[Website]
.
### Background - Worked with LCIMB in grad school on compressed sensing, but image denoising was not a significant bottleneck. - Bigger problem: **segmentation**. Modern electron microscopes (SBF-SEM, FIB-SEM) rapidly create gigavoxel datasets. - Biologists want structural analysis of
everything
, but tracing structures by hand is tedious, does not scale.
### Goal - **Automate semantic segmentation** for LCIMB platelet datasets. - LCIMB had manually-labeled images with six classes - cell material and five organelles. - Can a segmentation algorithm produce usable results for scientific research?
### Challenges - **3D context**: Necessary for humans. Can I build an algorithm that uses it to do better than 2D segmentation algorithms? - **Architecture design**: When comparing neural net architectures, how to properly decide when one is better? - **Edge preservation**: Biological structures are complicated and densely packed. How to avoid merging together of nearby structures?
### Solutions - 3D Context - **Establish baselines**. I trained existing 2D U-Net and Deeplab architectures on our segmentation problem, as well as 3D U-Net variants. - Large fully-3D nets require more memory than 2D nets with similar fields of view, causes hardware issues. - Using unpadded convolutions like the original U-Net requires inputs with large z dimension, which is impractical.
### Solutions - 3D Context - Conversations at a conference led to an interest in **hybrid 2D-3D** architectures. - Idea: Use a large memory-friendly 2D module and a smaller 3D module. - Initially saw sequence methods used for 3D, but can also be done with fully-convolutional architectures. - Both modules can be placed in one computation graph and trained end-to-end.
### Solutions - 3D Context - Final architecture: (mostly) 2D U-Net + 3D spatial pooling pyramid. - 2D U-Net has conv block-initial 3x3x3 convs. - 2D module makes intermediate segmentation predictions which are included in the training loss.
### Solutions - 3D Context
### Solutions - 3D Context
Full training loss objective.
### Solutions - Architecture Design - I had to explore new neural net architectures. How do I decide when one is better than another? - Basic: Ablation study for proposed new features. - **Bigger problem**: Initialization-dependent performance. - Random weight initialization induces random distribution of final performance metrics on validation data.
### Solutions - Architecture Design - **Solution**: Controlled training of multiple instances per architecture. - Vary only the random seed responsible for weight initialization, create empirical validation performance distributions. - Bonus: When the procedure creates several high-performing instances, they can be ensembled for an overall performance bump.
### Solutions - Architecture Design
Empirical validation MIoU histograms
### Solutions - Edge Preservation - **Problem**: How to keep, e.g., nearby cells from being merged together by a segmentation algorithm. - Original U-Net paper uses a weighted loss function that penalizes errors in regions where two cells come close to touching. - Building required knowing which region is cell 1, cell 2, etc. - I wanted to do the same with just voxel-level data.
### Solutions - Edge Preservation - **Solution**: Build an error weighting array from three parts. - Weight floor: minimum weight value for each voxel. - Class balancing: Weight each voxel inversely proportionally to its correct class' frequency. - Edge preserving: Use thresholded, scaled diffusion operations to upweight regions where structures almost touch and small cross-sections.
### Solutions - Edge Preservation
Error weight array construction
### Results - Final network ensemble tested on multiple datasets including two different physical samples. - Performance compared with human annotators on downstream analysis tasks in addition to standard metrics (MIoU). - Result is nearing human performance, regarded as a viable proof of concept for our institute.
### Results
Organelle volume fraction comparison
### Current and Future Work - Semantic segmentation only one part of a full vision pipeline. - Needs to be combined with instance segmentation. - There is a need for **more robust** segmentation models for multi-dataset annotation. - Predictive tools need to be integrated with human annotation tools.
### Current Technical Challenge - Right now: Integrating 3D instance segmentation for panoptic segmentation of cell samples.
**Thank you Scale!!**


Backbone.Handlebars provides a solid integration of Handlebars into Backbone with:
{{user.name}}
compiles to user.get('name')
each
helper is able to iterate through
a Backbone.Collection.
User details
{{view UserView model=user}}
You can refer to the project's website for a nice HTML documentation.
The raw sources can be navigated on GitHub.
The distributed sources can be found in the dist/
directory or
downloaded directly via one of the following links:
You can also use Bower to install backbone.handlebars:
$ bower install backbone.handlebars --save
Backbone.Handlebars extends Handlebars to support fetching Backbone.Model
attributes through model.get(attribute)
:
var user = new Backbone.Model({name: 'World'});
var fn = Handlebars.compile('Hello {{name}}!');
fn(user);
// Hello World!
Notice that we directly pass the user as context and not user.toJSON()
.
Instead of using the dot notation user.name
, it will detect that we are
managing a Backbone.Model and use user.get('name')
.
Backbone.Handlebars override the default each
helper to support looping
through a Backbone.Collection:
var numbers = new Backbone.Collection(['one', 'two', 'three', 'four']);
var fn = Handlebars.compile('
{{#each numbers}}
{{number}}
{{/each}}
');
fn({numbers: numbers});
//

one

two

three

four

var User = Backbone.Model.extend();
var AppView = Backbone.HandlebarsView.extend({
template: '
Hello
{{view "HelloView" model=this}}'
});
var HelloView = Backbone.HandlebarsView.extend({
template: 'Hello {{name}}'
});
var app = new AppView({model: new User({name: 'Loïc'})});
app.render().$el.appendTo('#app');
Backbone.Handlebars is tested, you can see its test suite running online. Also, Travis CI takes care of continuously running this test suite: .
{{view "My.Deep.View"}}
.Copyright (c) 2013 Loïc Frering, licensed under the MIT license. See the LICENSE file for more informations.


So a few months ago, I started prime number generation just for fun. Initially, I wrote everything in Python. I soon learned that Python does have a performance drop from compiled languages. This is where I put those to the test.
I attempted to write the exact same code but in different languages. Thus far, I have not tested as many languages as I would like and do not have many data points. I will attempt to write a script to run the program many times and time run time.
| Language | Time (seconds) |
|---|---|
| Python 2 | 256 |
| C (GCC) | 3 |


interface Diff
invoke |
abstract operator fun invoke(state: SimulatorState): Unit |
CacheDiff |
class CacheDiff : Diff |
FRegisterDiff |
class FRegisterDiff : Diff |
HeapSpaceDiff |
class HeapSpaceDiff : Diff |
InstructionDiff |
class InstructionDiff : Diff |
MemoryDiff |
class MemoryDiff : Diff |
PCDiff |
class PCDiff : Diff |
RegisterDiff |
class RegisterDiff : Diff |


These are some of my projects
Clarice Lispector's Tribute Page
Narrative Games Survey Form
JS Documentation Page
Product Landing
Let's work together!!!
Github
Linkedin
Email


Round
1
3
Next Round
New game
Undo Round
If you would like to support this site, consider donating! ❤❤
Donate!


A name to easily identify this job.
JavaScript file containing job code and configuration.
If provided, will override the value in job file


Christopher Hutchinson
Web Design
Software Programming
Raphael Freelander
Co-Founder Of Learn Elite
Business Specialist
Miles Banks
Co-Founder Of Learn Elite
Technology Team Manager
Justin Munizzi
Lawyer Of The Company
The Law Office Of Justin S. Munizzi,.P.A
Justin Popp
Photography
Videography
Learn-Elite designs personalized platforms for some of the top influencers on social media to further reach and utilize their own personal brand to the fullest extent. We create tailored online courses, and personalized websites for all our valued clients. With the help of a talented team possessing a wide variety of skill sets, Learn-Elite will add an additional way for influencers to interact with their audience while also creating another revenue stream. We are determined to provide personalized service while establishing mutually beneficial relationships with our valued influencers.


A/B Test Customer Segment Change
- A/B Test Customer Segment Change are bunch of tests which compares the effect of Customers Segments of Change within Time Periods to the business. Before and After time periods are constants time periods which are day, week and month. Each segment of current day, current week and current month are compared with the last 4 weeks of same weekday of current weekday, last 4 weeks and last 4 months. There are two metrics which help us to measure comparison values. These are number of orders counts per segment and Average purchase amount per segment. Difference of Segments between before and after time periods related to these metrics are tested with Before - After Analysis. in order to the answer the question that is "Is there any significant increase/decrease on Order Count / Average Payment Amount per Customer Segment" While we need to see to Segment which increases/decreases the number of orders and the average purchase amount, This Section can help us to find the right Segment of Improvements.
-
Hypothesis are;
H0 : These is no significant Difference with A - B of order count / purchase amount.H1 : These is significant Difference with A - B of order count / purchase amount. -
Bootstrapping Method;
Each test process are applied with Boostraping Method. So, Iteratively randomly selected A and B sample customers of order count / average purchase amount will be tested acceptable enough time. Each iteration A - B samples are randomly selected. Accepted ratio will show us the confidence of our test results. For instance, There are 100 tests and 75 of them are ended with H0 Accepted. So, test are % 75 our test are H0 Accepted.


{% extends "siem/base.html" %} {% block sub-title %} | Limit Rule Documentation{% endblock %} {% block content-main %}
The sentry daemon watches the database, checking for criteria defined by rules. If a rule's criteria are met (i.e. the rule is broken), the sentry creates a rule event (defined by the rule), and optionally emails alerts (if email has been configured).
Limit rules define a set of event criteria, an event limit, and a time interval. If the number of events that meet the criteria in a time interval is over the event limit, a rule event is created (and email alerts can be sent, if email is configured). Rules can also have a defined number of allowable log sources, and some attributes for calculating the magnitude of rule events. A severity and some modifiers that are used to calculate magnitude, based on the ratio of event count to event limit.
If a rule's rule_events attribute is set to True, it will monitor rule events; otherwise, it will monitor log events.
Filters check to see if a certain field contains a certain string. They are case insensitive. If left blank, they will always match. If all of the filters in a rule are met, the rule is considered to be broken. A few fields can use regular expressions.
Rules can filter on the following fields:
| Field | Event Type | Regex? |
|---|---|---|
| message | Any | Yes |
| raw_text | Log | Yes |
| log_source | Log | No |
| process | Log | No |
| action | Log | No |
| interface | Log | No |
| source_host | Log | No |
| source_port | Log | No |
| dest_host | Log | No |
| dest_port | Log | No |
| source_user | Log | No |
| target_user | Log | No |
| source_rule__name | Rule | No |
| magnitude | Rule | No |
In addition to these filters, rule events have an optional event_type attribute. Event types must match exactly, if present.
Rule event magnitude is calculated using the following factors:
The actual calculation:
(1 + ((event_count / (event_limit + 1)) * overkill_modifier) -1) * ((8 - severity) * severity_modifier)
(Formatting added to aid in comprehension)
{% endblock %}


--- layout: post title: Happy Birthday to Me , Again!!! date: 2008-09-16 03:08:00.000000000 -04:00 type: post published: true status: publish categories: [] tags: - Nontech - Personal meta: _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2008/09/16/happy-birthday-to-me-again.aspx orig_site_id: '7524' orig_post_id: '8953569' orig_parent_id: '8953569' orig_thread_id: '606346' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2008/09/16/happy-birthday-to-me-again.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
Its that time of the year again !
I grow a year older ,every year , on the year.
This happened to me last year too and I have a strong suspicion it will happen next year too .
Stuff I did over the last year .
14th Jan 2008 , Joined the Astoria team.
14th Jan 2008 , Saw snowfall for the first time.
23rd Jan 2008 , Went Snowboarding for the first time.
23rd Jan 2008 , Ran into a tree while snowboarding for the first time.
28th April 2008 , Went Sky-diving at Snohomish and didn’t jump off the plane ( got scared and canceled jump ).
15th May 2008 , Went hang-gliding at Tiger Hill , Issaquah ( yes , first time ).
5th July 2008 , Went River rafting for the first time in Wenatchee valley.
5th July 2008 , Jumped head-first into a rapid just to see if I could , ( I could , don’t think I will ever do it again)
I don’t know if I have become more adventurous or just suicidal.
From a work perspective ,
Joined the only team I wanted to work for , the Astoria team.
Worked with the team on Astoria Beta1 and RTM ,
And the adventurous interim release of Silverlight Client library for RTM.
I still can’t believe that I work for this team .
Here’s to 27 years of living and loving !


Berkeley DB: log_stat
log_stat
#include <db.h>
int
log_stat(DB_LOG *logp,
DB_LOG_STAT **spp, void *(*db_malloc)(size_t));
Description
The log_stat function creates a statistical structure and copies
a pointer to it into the user-specified memory location.
Statistical structure are created in allocated memory.
If
db_malloc is non-NULL, it is called to allocate the memory,
otherwise, the library function malloc(3)) is used.
The function db_malloc must match the calling conventions of
the malloc(3)) library routine.
Regardless, the caller is responsible for deallocating the returned
memory.
To deallocate the returned memory, free each returned memory pointer;
pointers inside the memory do not need to be individually freed.
The log region statistics are stored in a structure of type DB_LOG_STAT.
The following DB_LOG_STAT fields will be filled in:
- u_int32_t st_magic;
- The magic number that identifies a file as a log file.
- u_int32_t st_version;
- The version of the log file type.
- u_int32_t st_refcnt;
- The number of references to the region.
- u_int32_t st_regsize;
- The size of the region.
- int st_mode;
- The mode of any created log files.
- u_int32_t st_lg_max;
- The maximum size of any individual file comprising the log.
- u_int32_t st_w_mbytes;
- The number of megabytes written to this log.
- u_int32_t st_w_bytes;
- The number of bytes over and above st_w_mbytes written to this log.
- u_int32_t st_wc_mbytes;
- The number of megabytes written to this log since the last checkpoint.
- u_int32_t st_wc_bytes;
- The number of bytes over and above st_wc_mbytes written to this log
since the last checkpoint.
- u_int32_t st_wcount;
- The number of times the log has been written to disk.
- u_int32_t st_scount;
- The number of times the log has been flushed to disk.
- u_int32_t st_cur_file;
- The current log file number.
- u_int32_t st_cur_offset;
- The byte offset in the current log file.
- u_int32_t st_region_wait;
- The number of times that a thread of control was forced to wait before
obtaining the region lock.
- u_int32_t st_region_nowait;
- The number of times that a thread of control was able to obtain
the region lock without waiting.
The log_stat
function returns the value of errno on failure, and 0 on success.
Errors
If a fatal error occurs in Berkeley DB, the log_stat function may fail and return
DB_RUNRECOVERY, at which point all subsequent database calls will also
return DB_RUNRECOVERY.
The log_stat
function may fail and return errno
for any of the errors specified for the following Berkeley DB and C library
functions:
abort(3),
fcntl(3),
fprintf(3),
getpid(3),
malloc(3),
and
memset(3).
See Also
log_archive,
log_close,
log_compare,
log_file,
log_flush,
log_get,
log_open,
log_put,
log_register,
log_stat,
log_unlink
and
log_unregister.


Four sentenced to death for trafficking 100 kg of drugs - VnExpress International
by VnExpressBetween 2017 and May 2018 Trieu Ky Voong, 50, Pham Xuan Lan, 38, Song A Sang, 36, and Lieu Van Cay, 45, transported heroin from Son La Province at the Laos border, via Hanoi and Lang Son Province at China border, to China, media reports said.
Lan was caught with 6.6 kg on a truck going from Son La to Lang Son on May 16 last year. Investigations led to the arrest of the other three.
Voong was the mastermind who worked with Sang to traffic the drugs, while Lan was the mule carrying them from Son La to Lang Son and Cay delivered them to their final destinations.
To hoodwink authorities, Voong used the money earned from drug trafficking to open restaurants and hotels in Lang Son.
The court also slapped fines of VND3.1 billion ($133,450) on Voong, VND170 million ($7,300) on Lan, VND150 million ($6,450) on Sang and VND100 million ($4,300) on Cay.
Vietnam is a key trafficking hub for drugs from the "Golden Triangle," a lawless wedge of land straddling China, Laos, Thailand, and Myanmar that is the world's second largest producer of drugs.
Drug busts and convictions have been increasing in Vietnam despite the country having very tough laws.
Those convicted of possessing or smuggling more than 600 grams of heroin or more than 2.5 kilograms of methamphetamine face the death penalty.
The production or sale of 100 grams of heroin or 300 grams of other illegal narcotics is also punishable by death.


Ciara’s Kids Have The Cutest Response To Her Epic American Music Awards Performance
by Aynslee DarmonCiara had two of the cutest fans in the American Music Awards audience Sunday night.
The singer, who also acted as host for the 2019 awards show, took the stage to perform her hit “Melanin”, joined by La La Anthony, and brought the entire crowd to their feet.
But after her performance, she jumped off stage to chat with her kids.
“As a performer, CEO, wife and mom, Future, how did I do?” she asked her son. “Good,” he responded while in the audience. Daughter Sienna agreed, she also gave two thumbs up while shouting “good” into her mom’s microphone.
“Awww, thank you so much my babies,” Ciara later gushed. “I’m here to tell you that women can do it all.”
Ciara shares son Future, 5, with ex Future and daughter Sienna, 2, with Seattle Seahawks superstar Russell Wilson.


Welcome,
Manager!
6
Expedited Requests
Please see detailed request.
9
Motion/Depo/Order Requests
Motions(3) Depositions(5) Orders(1)
3
Past Due Requests
2 days past due.
5
Past Due Tasks
4 days past due.
Team Activities
March 4, 2018 - March 10, 2018
Weekly Items Completed
Team Overview
| Name | Current Requests | Current Tasks | Average Difficulty | Average Completion Time |
|---|---|---|---|---|
| Shawna Rohr | 45 | 4 | 3.8 | 12 hours |
| Mimi Badgerow | 0 | 60 | 3.2 | 10 hours |
| Andrea McGee | 0 | 57 | 2.7 | 11.5 hours |
Outstanding Requestss
| Matter Number | Matter Name | Due Date | Team Members | Total Tasks | Request Progress | Status | |
|---|---|---|---|---|---|---|---|
| 2017-000998 | Rohr v. Walmart Stores Inc. | 05.01.2018 |
|
4 |
|
||
| 2017-000998 | John Doe | 05.28.2018 | 0 |
|
|||
| 2017-111222 | Sheri Wenzel | 04.09.2018 |
|
12 |
|
||
| 2017-000998 | John Doe | 05.28.2018 |
|
0 |
|
Outstanding Tasks
| Task Number | Number of Items | Due Date | Overdue | Assignee | Assigner | Priority Level | Status |
|---|---|---|---|---|---|---|---|
| 23 | 3 | 05.01.2018 | No | Mimi Badgerow | Shawna Rohr | High | In Progress |
| 26 | 2 | 04.06.2018 | No | Andrea McGee | Shawna Rohr | Normal | Not Started |
| 28 | 3 | 04.24.2018 | No | Bryan Malloy | Shawna Rohr | Normal | In Progress |
| 29 | 8 | 03.30.2018 | Yes | Mimi Badgerow | Shawna Rohr | Low | Waiting on Others |
US Map


{% extends "FSJ/base_with_banner.html" %} {% load i18n %} {# NOTE YOU MUST LOAD i18n to every HTML page even though it's also loaded to base.html #} {# A standardized page for viewing the fields of a year of study #} {# This page is also used to edit years, it is up to the form to disable/enable views #} {% block heading %} {% if year %} {# Translators: Edit year of study page heading #} {% trans "Edit Year" %} {% else %} {# Translators: Add year of study page heading #} {% trans "Add Year" %} {% endif %} {% endblock %} {% block content %}


Katie Taylor Becomes Two-Weight World Champion With Classy Victory In Manchester
by Robert RedmondKatie Taylor is a two-weight world champion.
The Bray boxer achieved the feat with victory over Christina Linardatou in Manchester on Saturday night. After already cementing her legacy as the undisputed lightweight world champion, Taylor added the WBO super lightweight title to her impressive collection.
The 2012 Olympic champion recorded her win via unanimous decision after a typically composed performance. Her professional record now reads 15-0.
Taylor had the spectators at the Manchester Arena on their feet before the first bell rang.
Linardatou took the fight to her, catching Katie with a swift right hand within the opening minute. After a slow start, the Irish boxer grew into proceedings and landed some telling shots to arguably win the second round. After a close call against Delfine Persoon last time out, Taylor boxed smart against her Greek opponent on Saturday evening, making Linardatou move around the ring as she picked her punches.
The trend continued through the early rounds, with Taylor appearing to take control of the fight in round six, making her opponent swing and miss on several occasions. Linardatou cut a frustrated figure and had little answer to Katie’s combination punching and intelligent movement.
The 33-year-old Irish fighter was all class and rarely allowed herself to be drawn into a brawl.
Linardatou was aggressive and unrelenting. She never wilted and made Taylor work hard for the victory. But Katie’s class and discipline helped her win the day.
Taylor made history. She’s now a world champion in two divisions, as well as an Olympic champion. Katie is only the third Irish boxer in history to become a two-weight world champion, after Steve Collins and Carl Frampton.


Hey guys i need ur brains working overtime please.
Try Phae


Toggle navigation
Gabrielle Campagna
| UX/UI Designer/Developer
Skills
Professional Experience
Projects
Photography
Photography
Paris Sunset
Piazza del Popolo, Rome
Half Moon Bay
Flying to Half Moon Bay
Roman Colosseum
Maui Outrigger
Castle Saint Angelo, Rome
Lick Observatory, Silicon Valley
Silicon Valley
Lake Anderson
Practicing Rolls in Cessna
The Louvre, Paris
Flying lessons in Silicon Valley


Master Foo and the Script Kiddie
A stranger from the land of Woot came to Master Foo as he was eating the morning meal with his students.
"I hear y00 are very l33t", he said. "Pl33z teach m3 all y00 know".
Master Foo's students looked at each other, confused by the stranger's barbarous language. Master Foo just smiled and replied: "You wish to learn the Way of Unix?"
"I want to b3 a wizard hax0r", the stranger replied, "and 0wn ever3one's b0xen".
"I do not teach that Way", replied Master Foo.
The stranger grew agitated.  "If y00 n00 anything, y00 wud t33ch m3".
"There is a path", said Master Foo, "that might bring you to wisdom". The master scribbled an IP address on a piece of paper.  Return and tell me what you find".
The stranger bowed and left. Master Foo finished his meal.
Days passed, then months. The stranger was forgotten.
Years later, the stranger from the land of Woot returned.
"Damn you!" he said, "I cracked that box, and it was easy like you said. But I got busted by the FBI and thrown in jail".
"Good", said Master Foo. "You are ready for the next lesson". He scribbled an IP address on another piece of paper and handed it to the stranger.
"Are you crazy?" the stranger yelled. "After what I've been through, I'm never going to break into a computer again!"
Master Foo smiled. "Here", he said, "is the beginning of wisdom".
On hearing this, the stranger was enlightened.
|


fun unlink(path: String): Boolean
Removes a file on path
.
If it is a directory, its contents are removed as well.
Returns true if file is deleted successfully, otherwise false.
fun unlink(pathComponent: PathComponent): Boolean
Removes a file on pathComponent
.
If it is a directory, its contents are removed as well.
Returns true if file is deleted successfully, otherwise false.


Design is future
Uninhibited carnally hired played in whimpered dear gorilla koala depending and much yikes off far quetzal goodness and from for grimaced goodness unaccountably and meadowlark near unblushingly crucial scallop tightly neurotic hungrily some and dear furiously this apart.
Spluttered narrowly yikes left moth in yikes bowed this that grizzly much hello on spoon-fed that alas rethought much decently richly and wow against the frequent fluidly at formidable acceptably flapped besides and much circa far over the bucolically hey precarious goldfinch mastodon goodness gnashed a jellyfish and one however because.
Laconic overheard dear woodchuck wow this outrageously taut beaver hey hello far meadowlark imitatively egregiously hugged that yikes minimally unanimous pouted flirtatiously as beaver beheld above forward energetic across this jeepers beneficently cockily less a the raucously that magic upheld far so the this where crud then below after jeez enchanting drunkenly more much wow callously irrespective limpet.
Scallop or far crud plain remarkably far by thus far iguana lewd precociously and and less rattlesnake contrary caustic wow this near alas and next and pled the yikes articulate about as less cackled dalmatian in much less well jeering for the thanks blindly sentimental whimpered less across objectively fanciful grimaced wildly some wow and rose jeepers outgrew lugubrious luridly irrationally attractively dachshund.
The advance of technology is based on making it fit in so that you don't really even notice it, so it's part of everyday life.
B. Johnso
Computer inside
Less lion goodness that euphemistically robin expeditiously bluebird smugly scratched far while thus cackled sheepishly rigid after due one assenting regarding censorious while occasional or this more crane went more as this less much amid overhung anathematic because much held one exuberantly sheep goodness so where rat wry well concomitantly.
What's next?
Pouted flirtatiously as beaver beheld above forward energetic across this jeepers beneficently cockily less a the raucously that magic upheld far so the this where crud then below after jeez enchanting drunkenly more much wow callously irrespective limpet.
Other yet this hazardous oh the until brave close towards stupidly euphemistically firefly boa some more underneath circa yet on as wow above ripe or blubbered one cobra bore ouch and this held ably one hence
Conclusion
Alexe more gulped much garrulous a yikes earthworm wiped because goodness bet mongoose that along accommodatingly tortoise indecisively admirable but shark dear some and unwillingly before far vindictive less much this on more less flexed far woolly from following glanced resolute unlike far this alongside against icily beyond flabby accidental.


End to End PDF Search Demo
Some good sample queries to try are:
HELOC
"Monetary Policy"
"Federal Reserve"
Brimmer Liabilities
From 1969
Bretton woods
Chairman Eccles from 1945
Immigration Reform Act
1373
Looking at a legal code
Leahy
Search for what a Senator has said
Need to understand what the
Davis-Bacon
Labour Standards are?
Curious about CoC awards in
Richmond
VA are?
Want to see PDF loaded direct from Solr (
as an object store ;-)
)
Load PDF from Solr


Soldier (1998)
As reviewed by James Brundage
Just how many times has Paul Anderson seen Dune? I mean, when you find yourself on a planet with massive wastelands, lots of sandstorms, and one person who leads the social group that he's not originally from to safety or some such crap, doesn't that remind you of a certain David Lynch film circa 1984?
Maybe if he was in Lynch's territory it would have turned out better. Anderson, director of Mortal Kombat, and Event Horizon, set his sights on making his "sci-fi masterpiece" with a human element this time by setting himself down to work on a good premise movie, and ended up screwing that up, which you'd figure would be easy. If he'd made it out of studio, tried the independent road, the film might just have turned out quasi-semi-decent, instead of ye load of crap which we see before us now. But he decided to stay with the high paycheck security of a movie that relies on being blind and not noticing the plot holes that are large enough to walk through.
The movie has a specific cadre of people drafted at birth and becoming the perfect soldier, not speaking unless spoken to, and following all orders. Not speaking is good news, we don't have to listen to Kurt Russell attempt to utter a line… in fact, we don't hear his voice until about a half hour into the movie. All of these people watch atrocities, kill civilians, and go through life without emotion. Good premise.
He's replaced, of course, when they come out with genetic models that were designed in Japan and made in China, in otherwords, cheaper, better.
In fact, if you took out the action sequences at the end, it'd be a good movie.
But, no, instead, you have Kurt Russell kicking butt like he always does… badly. And you end up hating the movie that started out so good, started out so intriguing. If I could just make a single splice, I'd save it…
But, hey, you know what they say, always the critic, never the criticized.
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


conheça nossos produtos
Contrary to popular belief, Lorem Ipsum is not simply random text.
Contrary to popular belief, Lorem Ipsum is not simply random text.
Contrary to popular belief, Lorem Ipsum is not simply random text.


Click next when you have unlocked the directional lock.
*If you have not opened the directional lock, then be careful not to freeze the lock out. Entering too many incorrect answers within a short window (three times in 1 minute) will lock you out. Be sure of your answer before entering it, and enter the directions quickly.


---
layout: post
title: A Reason Not to Blog
date: '2011-01-27T20:34:00.000-06:00'
author: Jabell
tags:
- Reading
- Quotes
modified_time: '2011-01-27T20:34:19.897-06:00'
blogger_id: tag:blogger.com,1999:blog-19739956.post-2499571257922590753
blogger_orig_url: http://theabellsix.blogspot.com/2011/01/reason-not-to-blog.html
---
“The task of adding new lines and sentences and paragraphs to one’s collection can become an ever tempting substitute for reading, marking, learning, and inwardly digesting what’s already there. And wisdom that is not frequently revisited is wisdom wasted.”
—Alan Jacobs, Wayfaring, p. 11


Manage privacy settings for your freelancer profile on Yajidu. See how others view my freelancer profiles.


Getting Started
-
Angular Tutorial
- Use Git branches to skip steps or view solutions
-
Thinking the "Angular" way
- "view first" - the application is primarily structured with HTML
- Behavior is emergent by injecting controllers, directives, etc.
-
Style Guides


| ^a${value} Second(s) Recharge | 8 |
| ${value} Energy Cost | 65 68 71 74 77 80 83 86 89 92 95 98 |
| Launches ${value} Projectile(s) | 1 |
| ${value} Target Maximum | 4 |
| ${value}° Arc of Attack | 360 |
| +${value}% Movement Speed | 300 |
| +${value}% Physical Damage | -28 -21 -14 -7 0 7 14 21 28 35 42 49 |
| MaxLevel | 8 |
| UltimateLevel | 12 |


Toggle navigation
Tech Trek v2.0
Logout
Add Event
Add Event
Event
Event Name
eventCode
eventDes
Event startTime
Event endTime
duration
totalQues
type
One Word
MCQ
Picture
Level Blocked
forum url
Error !
Event Not Added
Success !
Event Added
Add Event


TRUNC
shortens a numeric expression to a specified number of decimal places.
NUMBER
TRUNC(n1 [, n2 ])
n1
is the numeric expression to be truncated.
n2
is the number of decimal places. A positive number truncates digits to the right of the decimal point, and a negative number replaces digits to the left of the decimal point. The default value is zero (0).
TRUNC(15.79)
returns the value 15
.
TRUNC(15.79, 1)
returns the value 15.7
.
TRUNC(15.79, -1)
returns the value 10
.


Sports Trivia
If you're not doing any sports at least have some knowledge about it
Select difficulty
Easy
Medium
Hard
Select a number of questions
5
10
15
Start!
0
0
reset