I have graduated with an honors degree in Architecture and Urbanism, from the Mackenzie Presbyterian University in Sao Paulo. I have also completed a master in Building technology from the Polytechnic University of Catalonia in Barcelona .
I am looking to gain more practical and theoretical experience within this sector. I am interested in all aspects from Design and Implementation to the ongoing maintenance of construction projects.
I have experience gained both at University as well as externally in developing and implementing small, medium and large scale construction designs relating to housing, hotels, banks, commercial and institutional buildings (as well as other related projects).
I have extensive experience using the following graphic design software; Autocad 2D & 3D, Photoshop, 3D Studio Max, Sketchup, Revit and Microsoft Office Applications.I have been lucky enough to work alongside some seasoned professionals whilst completing projects for Caixa Econômica Federal, Santander, Accor Hotels, The Heritage Foundation of the Energy and Sanitation of Sao Paulo; which consists of Sabesp, CESP, Electropaulo and Comgas, companies that supply energy for almost whole state of Sao Paulo. This experience coupled with my knowledge of design and implementation has given me a good all round understanding of how to design and more importantly, deliver; successful , creative and innovative projects.
Also I worked on a self-employed basis. One of my contracts was to oversee the construction and expansion of some residential areas, working alongside with a Civil Engineer, we designed all structural systems; including plumbing, electricity, coatings, roofing and interior design. I was also heavily involved in a many bank agencies projects and commercial ones, where I designed a public house, developing furniture to scale rooms of residence.
Kind regards
Bruno Pacerini Moreno


Christmas Stocking Filled With Hidden Valley Ranch is a Whole Lotta Yes
by Johnny ThrashThe king of ranch dressing has come through with the perfect stocking stuffer for my fellow ranch lovers.
I kid you not – Hidden Valley has introduced a plastic stocking filled with 52 ounces of ranch complete with a spout on top so you can douse everything on you plate with creamy goodness.
It’ll set you back $35 and is currently available for preorder at hiddenvalley.com.
The stockings are scheduled to ship in early December.
Or if you’re on a budget, just by a plastic stocking a dump and bunch of bottles in it for a DIY solution.


| We meet Jesse and Celine nine years on in Greece. Almost two decades have passed since their first meeting on that train bound for Vienna. | |
| Genres: | Drama, Romance |
| Director: | Richard Linklater |
| Writer: | Richard Linklater, Julie Delpy, Ethan Hawke, Kim Krizan |
Cast: | Jesse - Ethan Hawke Celine - Julie Delpy Hank - Seamus Davey-Fitzpatrick Ella - Jennifer Prior Nina - Charlotte Prior Natalia - Xenia Kalogeropoulou Patrick - Walter Lassally Anna - Ariane Labed Achilleas - Yiannis Papadopoulos Ariadni - Athina Rachel Tsangari Stefanos - Panos Koronis Child - Enrico Focardi Child - Manolis Goussias Child - Anouk Servera Hotel Clerk - Yota Argyropoulou Hotel Clerk - Serafeim Radis Air Stewardess - Tety Kalafati Airport Traveller in Opening Scene - John Sloss |


The Simpsons Movie / Goodbye Forever
There is, of course, no point whatsoever in me posting a belated review of the Simpsons Movie, which I and everyone else gleefully watched many months ago now. To the now long abandoned discussions of its merit I have absolutely nothing of value to contribute.
However, that shall not dissuade me from posting this one anyway, since such posts as these are not, as you might assume, for the benefit of my readership, few and benighted as they might be, but instead form an attempt to chart my media consumption habits for my own retrospective perusal.
It was with some dismay, therefore, that I noted that this inverted system of priorities is mirrored in the Herculean task of my reading of other people's posts. Simply put, I seem to be reading other people's blogs in order to make them feel good, upping their stats, making complimentary comments, showing an interest, etc, etc, rather than for my own benefit. Once this cold fact had impinged upon my conciousness, I had only one course of action left open: Cold Turkey. That's right. No more Google Reader.
Abandoning the hampster wheel should free up a considerable amount of my time for other activities, and I am keen to quantify that process, so I will be keeping detailed logs of my time usage for a few days prior and post the switchover, to ascertain exactly how many hours I previously spent looking at labelled pictures of cats, which I will henceforth presumably be free to spend looking at actual labels on cats (or possibly labels on actual pictures of cats, let's not get overly ambitious.)
In a final layer of delicious irony, I shall of course be blogging comprehensively about the entire experience, however your collective reactions to that will remain forever unknown to me. Henceforth you should consider me to be a purely one-way conduit of information. Goodbye forever.


All I know is that ladybugs are the Lady Version of Bugs....hhahhhahahahahahahahaha.......Ladybugs are actually quite a sight if they are gathered in one place and all you can see is polka dots.. sort of!!
A huge thanks to I FORGOT THE NAME for allowing me to download and use this beautiful photo. If not for the site, you wouldn't be looking at the majestic portraits of mrs. ladybugs right now...
I Don't Know anything major about them but all I can say is that They're Vegetarian.
As far as my knowledge with cats take me, They are actually very agile and graceful creatures. They are also more intelligent as compared to other animals out there; or atleast that what I read.
The thing about cats is that, they are believed to have nine lives hahahhaha... can you believe it!!.... but they absolutely loathe water.... and I was wondering how they survive with thirst if they really are afraid of water.....Or maybe not afraid of water in general but the BATHs... they hate taking a bath.......
With all the furry little things cuddled beside tge big furball, I'd say they are waiting for someone to adopt them... or nah.. maybe that's just my thoughts...
Imagine if those are actual children and they are very cute looking children at that.........they would have been adopted in just a minute...... :) I love cute things though.. so I'm keeping them or this to myself...


Entry-Level Data Analysts - Houston, TX
Trilogy Education partners with universities to offer programs in Web Development, Data Analytics, UX/UI Design, and Cybersecurity. Our platform combines a market-driven curriculum, robust career services, and a multinational community of universities, instructors, and employers to prepare adult learners for careers in the digital economy.
Our programs have been in existence since 2015, and since then, we've launched an additional 300 classes across the nation. We have hired more than 1,900 Instructors and Teaching Assistants to support our students.
The Job:
Trilogy Education is seeking an experienced Data Analyst who has a passion for teaching individuals how to code. Our students have a diverse background, from working professionals to fresh-out-of-college people who seek to transition into careers in data analytics and visualization positions.
Our Data Analytics and Visualization Program:
For too many companies, Big Data isn't the solution to a problem—Big Data is the problem. The Data Analytics and Visualization course provides learners with the knowledge, skills, and expertise to turn data, into insights, and into actionable recommendations to improve processes and drive company growth. Starting with Microsoft Excel⎼and advancing through Python, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Hadoop, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and more⎼students work their way through the industry's most popular programming languages, software, and libraries in data analytics.
Why teach with us?
Are you passionate about education and making an impact? Do you love empowering others to find life-changing opportunities. We'd love to hear from you! If you bring knowledge, strong communication, and a positive energy to the classroom, you're going to help our students along their transformative path to a successful and rewarding career. Prior teaching experience isn't a prerequisite for success as an Instructor or Teaching Assistant within Trilogy.
We'll provide the guidance, training, lesson plans, and tools to support you on your journey of impacting lives in the classroom.
What You Will Do:
Take attendance at the start of class via Bootcampspot
Ensure the Instructor is staying on track with regards to time
Walk around class during code activities and projects to assist students
Research and answer student questions when the instructor is unable to
Grade all homework assignments
Technology Language Skills:
Python Pandas
Matplotlib
Beautiful Soup
JavaScript
HTML5
CSS3
D3
Leaflet
SQL, noSQL
Tableau
Machine Learning, Hadoop
What makes you a great fit (Requirements):
Minimum of 1 year of work experience
A positive attitude
Share your own professional experiences and industry insight with the students
Support our students individually as they go through an emotional roller coaster
Be able to infuse empathy, support, encouragement, and fun into the student experience
Logistics:
24-week program
Mon/Wed/Sat OR Tue/Thu/Sat Schedule
Weekday Classes: 6:15pm - 10:30pm (includes office hours and break)
Saturday Classes: 9:30am - 2:30pm (includes office hours and lunch break)
zr


--- layout: default title: Home ---
I'm a postdoctoral scholar in the D-Lab at UC Berkeley. Previously, I obtained my PhD in the Physics Department at UC Berkeley, conducting research in the Redwood Center for Theoretical Neuroscience under Kristofer Bouchard and Mike DeWeese. My graduate research was funded by the Department of Defense through the NDSEG Fellowship.
My current research interests focus largely on applications of machine learning in society, with an emphasis on automated hate speech measurement. My graduate research focused on neural variability: its structure, implications for neural coding, and impacts on phenomenological models of neural activity. Prior to that, I studied the stability of hybrid stars.
I've also worked in the realm of leveraging data and machine learning in the non-profit and mission-driven space. I've completed a DataCorps project with DataKind, a Data Fellowship with Delta Analytics, and a Data Science for Social Good Fellowship at the University of Washington.
I'm deeply committed to promoting diversity, equity, and inclusion in academia. When I'm not doing research, I spend time thinking about how to solve and raise awareness for issues regarding racial and gender justice.
I also enjoy cycling, running, backpacking, crosswords, and preparing large feasts.


The Intl Object
The Intl object is the %Intl% intrinsic object and the initial value of the *"Intl"* property of the global object. The Intl object is a single ordinary object.
The value of the [[Prototype]] internal slot of the Intl object is the intrinsic object %ObjectPrototype%.
The Intl object is not a function object. It does not have a [[Construct]] internal method; it is not possible to use the Intl object as a constructor with the *new* operator. The Intl object does not have a [[Call]] internal method; it is not possible to invoke the Intl object as a function.
The Intl object has an internal slot, [[FallbackSymbol]], which is a new %Symbol% in the current realm with the [[Description]] *"IntlLegacyConstructedSymbol"*.
Constructor Properties of the Intl Object
Intl.Locale (...)
See .
Intl.Collator (...)
See .
Intl.NumberFormat (...)
See .
Intl.DateTimeFormat (...)
See .
Intl.RelativeTimeFormat (...)
See .
Intl.PluralRules (...)
See .
In ECMA 402 v1, Intl constructors supported a mode of operation where calling them with an existing object as a receiver would transform the receiver into the relevant Intl instance with all internal slots. In ECMA 402 v2, this capability was removed, to avoid adding internal slots on existing objects. In ECMA 402 v3, the capability was re-added as "normative optional" in a mode which chains the underlying Intl instance on any object, when the constructor is called. See Issue 57 for details.
Function Properties of the Intl Object
Intl.getCanonicalLocales ( _locales_ )
When the `getCanonicalLocales` method is called with argument _locales_, the following steps are taken:
1. Let _ll_ be ? CanonicalizeLocaleList(_locales_).
1. Return CreateArrayFromList(_ll_).
Intl.supportedValuesOf ( _key_ [ , _options_ ])
When the `supportedValuesOf` method is called with argument _key_ and optional argument _options_ , the following steps are taken:
1. Let _key_ be ? ToString(_key_).
1. If _options_ is *undefined*, then
1. Let _options_ be ! OrdinaryObjectCreate(*null*).
1. Else
1. Let _options_ be ? ToObject(_options_).
1. If _key_ is *"calendar"*, then
1. Let _list_ be ! AvailableCalendars( ).
1. Else if _key_ is *"collation"*, then
1. Let _list_ be ! AvailableCollations( ).
1. Else if _key_ is *"currency"*, then
1. Let _list_ be ! AvailableCurrencies( ).
1. Else if _key_ is *"numberingSystem"*, then
1. Let _list_ be ! AvailableNumberingSystems( ).
1. Else if _key_ is *"timeZone"*, then
1. Let _region_ be ? GetOption(_options_, *"region"*, *"string"*, *undefined*, *undefined*).
1. Let _list_ be ! AvailableTimeZones( _region_ ).
1. Else if _key_ is *"unit"*, then
1. Let _list_ be ! AvailableUnits( ).
1. Else,
1. Throw a *RangeError* exception.
1. Return ! CreateSupportedValuesObject( _list_ )
Supported Values Objects
A Supported Values instance is an object that represents the results of the supported values of a given key.
CreateSupportedValuesObject ( _list_ )
The CreateSupportedValuesObject abstract operation is called with argument List instance _list_ to create a Supported Values instance. The following steps are taken:
1. Let _internalSlotsList_ be « [[List]] ».
1. Let _values_ be ! OrdinaryObjectCreate(%SupportedValues.prototype%, _internalSlotsList_).
1. Set _values_.[[List]] to _list_.
1. Return _values_.
The %SupportedValues.prototype% Object
The %SupportedValues.prototype% object:
- is the prototype of all Supported Values objects.
- is an ordinary object.
- has the following properties:
%SupportedValues.prototype% [ @@iterator ] ()
The `@@iterator` method is called on a Supported Values instance to create a Iterator over its values. The following steps are taken:
1. Let _values_ be the *this* value.
1. Perform ? RequireInternalSlot(_values_, [[List]]).
1. Let _list_ be _values_.[[List]].
1. Return ! CreateListIteratorRecord(_list_).
Properties of Supported Values Instances
Supported Values instances are ordinary objects that inherit properties from %SupportedValues.prototype%.
Supported Values instances have a [[List]] internal slot that references a list of String.


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The world is your gym. Welcome.
Our expert instructors conduct classes literally anywhere. Take a yoga class on a mountaintop. Do boot camp on the beach. Go to an abandoned mansion for mat pilates. The options are limitless.


This Plugin has no options. The complete configuration is done in the original Owncloud configuration. For the first setup please visit the documentation at http://www.loxwiki.eu:80/x/GoK4
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Exp-lookit-calibration Class
Frame to do calibration for looking direction. Shows a small video/image in a sequence of locations so you'll have video of the child looking to those locations at known times. The attention-grabber can be either a small video or an image (see examples below of each). Images can be animated (spinning or bouncing). Generally you will want to have video of this frame. You can set doRecording to true to make a video clip just for this frame, or you can use session-level recording (set startSessionRecording to true on this or a previous frame). If either type of recording is starting on this frame, it waits until recording starts to display the first calibration segment. It can be displayed at center, left, or right of the screen. You can specify the sequence of positions or use the default ['center', 'left', 'right', 'center']. Each time it moves, the video (if any) and audio restart, and an event is recorded with the location and time (and time relative to any video recording) of the segment start. For details about specifying media locations, please see https://lookit.readthedocs.io/en/develop/researchers-prep-stimuli.html?highlight=basedir#directory-structure This frame is displayed fullscreen, to match the frames you will likely want to compare looking behavior on. If the participant leaves fullscreen, that will be recorded as an event, and a large "return to fullscreen" button will be displayed. Don't use video coding from any intervals where the participant isn't in fullscreen mode - the position of the attention-grabbers won't be as expected. If the frame before it is not fullscreen, that frame needs to include a manual "next" button so that there's a user interaction event to trigger fullscreen mode. (Browsers don't allow us to switch to FS without a user event.) Example usage:
"calibration-with-image": {
"kind": "exp-lookit-calibration",
"baseDir": "https://www.mit.edu/~kimscott/placeholderstimuli/",
"audioTypes": [
"ogg",
"mp3"
],
"videoTypes": [
"webm",
"mp4"
],
"calibrationImage": "peekaboo_remy.jpg",
"calibrationLength": 3000,
"calibrationPositions": [
"center",
"left",
"right"
],
"calibrationAudio": "chimes",
"calibrationImageAnimation": "spin"
},
"calibration-with-video": {
"kind": "exp-lookit-calibration",
"baseDir": "https://www.mit.edu/~kimscott/placeholderstimuli/",
"audioTypes": [
"ogg",
"mp3"
],
"videoTypes": [
"webm",
"mp4"
],
"calibrationLength": 3000,
"calibrationPositions": [
"center",
"left",
"right"
],
"calibrationAudio": "chimes",
"calibrationVideo": "attentiongrabber"
},
Item Index
Methods
Properties
- assetsToExpand
- audioOnly
- audioTypes
- autosave
- backgroundColor
- baseDir
- calibrationAudio
- calibrationImage
- calibrationImageAnimation
- calibrationLength
- calibrationPositions
- calibrationVideo
- displayFullscreen
- displayFullscreenOverride
- doRecording
- doUseCamera
- endSessionRecording
- fsButtonID
- fullScreenElementId
- generateProperties
- maxRecordingLength
- maxUploadSeconds
- parameters
- recorder
- recorderElement
- recorderReady
- selectNextFrame
- sessionAudioOnly
- sessionMaxUploadSeconds
- startRecordingAutomatically
- startSessionRecording
- stoppedRecording
- videoId
- videoList
- videoTypes
Data collected
Methods
destroyRecorder
()
destroySessionRecorder
()
exitFullscreen
()
hideRecorder
()
makeTimeEvent
-
eventName
-
[extra]
Create the time event payload for a particular frame / event. This can be overridden to add fields to every event sent by a particular frame
Parameters:
Returns:
Event type, time, and any additional metadata provided
onRecordingStarted
()
onSessionRecordingStarted
()
serializeContent
-
eventTimings
Each frame that extends ExpFrameBase will send at least an array eventTimings
,
a frame type, and any generateProperties back to the server upon completion.
Individual frames may define additional properties that are sent.
Parameters:
-
eventTimings
Array
Returns:
setupRecorder
-
element
Parameters:
-
element
NodeA DOM node representing where to mount the recorder
Returns:
showFullscreen
()
showRecorder
()
startRecorder
()
Returns:
startSessionRecorder
()
Returns:
stopRecorder
()
Returns:
whenPossibleToRecordObserver
()
whenPossibleToRecordSessionObserver
()
Properties
audioOnly
Number
Default: 0
audioTypes
String[]
['typeA', 'typeB']
and an audio source
is given as intro
, the audio source will be
expanded out to
[
{
src: 'baseDir' + 'typeA/intro.typeA',
type: 'audio/typeA'
},
{
src: 'baseDir' + 'typeB/intro.typeB',
type: 'audio/typeB'
}
]
Default: ['mp3', 'ogg']
autosave
Number
private
Default: 1
backgroundColor
String
Color of background. See https://developer.mozilla.org/en-US/docs/Web/CSS/color_value for acceptable syntax: can use color names ('blue', 'red', 'green', etc.), or rgb hex values (e.g. '#800080' - include the '#')
Default: 'black'
baseDir
String
baseDir
+ img/
. Any audio/video src values provided as
strings rather than objects with src
and type
will be
expanded out to baseDir/avtype/[stub].avtype
, where the potential
avtypes are given by audioTypes
and videoTypes
.
baseDir should include a trailing slash
(e.g., http://stimuli.org/myexperiment/
); if a value is provided that
does not end in a slash, one will be added.
Default: ''
calibrationAudio
Object[]
Audio to play when the attention-grabber is placed at each location (will be played once from the start, but cut off if it's longer than calibrationLength).
This can either be an array of {src: 'url', type: 'MIMEtype'}
objects for
calibration audio, or just a string to use the full URLs based on baseDir
.
Default: []
calibrationImage
String
Image to use for calibration - will be placed at each location. Supply either a calibration video or calibration image, not both.
This can be either a full URL or just the filename (e.g. "star.png") to
use the full path based on baseDir
(e.g. baseDir/img/star.png
).
Default: []
calibrationImageAnimation
String
Which animation to use for the calibration image. Options are 'bounce', 'spin', or '' (empty to not animate).
Default: []
calibrationPositions
Array
Ordered list of positions to show calibration segment in. Options are "center", "left", "right". Ignored if calibrationLength is 0.
Default: ["center", "left", "right", "center"]
calibrationVideo
Object[]
Calibration video (played from start at each calibration position). Supply either a calibration video or calibration image, not both.
This can be either an array of {src: 'url', type: 'MIMEtype'} objects or
just a string like attentiongrabber
to rely on the baseDir
and videoTypes
to generate full paths.
Default: []
displayFullscreenOverride
String
true
to display this frame in fullscreen mode, even if the frame type
is not always displayed fullscreen. (For instance, you might use this to keep
a survey between test trials in fullscreen mode.)
Default: false
doRecording
Boolean
Whether to do any video recording during this frame. Default true. Set to false for e.g. last frame where just doing an announcement.
Default: true
doUseCamera
Boolean
Default: true
endSessionRecording
Number
Default: false
fullScreenElementId
String
private
generateProperties
String
Function to generate additional properties for this frame (like {"kind": "exp-lookit-text"}) at the time the frame is initialized. Allows behavior of study to depend on what has happened so far (e.g., answers on a form or to previous test trials). Must be a valid Javascript function, returning an object, provided as a string.
Arguments that will be provided are: expData
, sequence
, child
, pastSessions
, conditions
.
expData
, sequence
, and conditions
are the same data as would be found in the session data shown
on the Lookit experimenter interface under 'Individual Responses', except that
they will only contain information up to this point in the study.
expData
is an object consisting of frameId
: frameData
pairs; the data associated
with a particular frame depends on the frame kind.
sequence
is an ordered list of frameIds, corresponding to the keys in expData
.
conditions
is an object representing the data stored by any randomizer frames;
keys are frameId
s for randomizer frames and data stored depends on the randomizer
used.
child
is an object that has the following properties - use child.get(propertyName)
to access:
additionalInformation
: String; additional information field from child formageAtBirth
: String; child's gestational age at birth in weeks. Possible values are "24" through "39", "na" (not sure or prefer not to answer), "<24" (under 24 weeks), and "40>" (40 or more weeks).birthday
: Date objectgender
: "f" (female), "m" (male), "o" (other), or "na" (prefer not to answer)givenName
: String, child's given name/nicknameid
: String, child UUIDlanguageList
: String, space-separated list of languages child is exposed to (2-letter codes)conditionList
: String, space-separated list of conditions/characteristics- of child from registration form, as used in criteria expression, e.g. "autism_spectrum_disorder deaf multiple_birth"
pastSessions
is a list of previous response objects for this child and this study,
ordered starting from most recent (at index 0 is this session!). Each has properties
(access as pastSessions[i].get(propertyName)):
completed
: Boolean, whether they submitted an exit surveycompletedConsentFrame
: Boolean, whether they got through at least a consent frameconditions
: Object representing any conditions assigned by randomizer framescreatedOn
: Date objectexpData
: Object consisting of frameId: frameData pairsglobalEventTimings
: list of any events stored outside of individual frames - currently just used for attempts to leave the study earlysequence
: ordered list of frameIds, corresponding to keys in expDataisPreview
: Boolean, whether this is from a preview session (possible in the event this is an experimenter's account)
Example:
function(expData, sequence, child, pastSessions, conditions) {
return {
'blocks':
[
{
'text': 'Name: ' + child.get('givenName')
},
{
'text': 'Frame number: ' + sequence.length
},
{
'text': 'N past sessions: ' + pastSessions.length
}
]
};
}
(This example is split across lines for readability; when added to JSON it would need to be on one line.)
Default: null
maxRecordingLength
Number
Default: 7200
maxUploadSeconds
Number
Default: 5
parameters
Object[]
An object containing values for any parameters (variables) to use in this frame.
Any property VALUES in this frame that match any of the property NAMES in parameters
will be replaced by the corresponding parameter value. For example, suppose your frame
is:
{
'kind': 'FRAME_KIND',
'parameters': {
'FRAME_KIND': 'exp-lookit-text'
}
}
Then the frame kind
will be exp-lookit-text
. This may be useful if you need
to repeat values for different frame properties, especially if your frame is actually
a randomizer or group. You may use parameters nested within objects (at any depth) or
within lists.
You can also use selectors to randomly sample from or permute
a list defined in parameters
. Suppose STIMLIST
is defined in
parameters
, e.g. a list of potential stimuli. Rather than just using STIMLIST
as a value in your frames, you can also:
- Select the Nth element (0-indexed) of the value of
STIMLIST
: (Will cause error ifN >= THELIST.length
)
'parameterName': 'STIMLIST#N'
- Select (uniformly) a random element of the value of
STIMLIST
:
'parameterName': 'STIMLIST#RAND'
- Set
parameterName
to a random permutation of the value ofSTIMLIST
:
'parameterName': 'STIMLIST#PERM'
- Select the next element in a random permutation of the value of
STIMLIST
, which is used across all substitutions in this randomizer. This allows you, for instance, to provide a list of possible images in yourparameterSet
, and use a different one each frame with the subset/order randomized per participant. If moreSTIMLIST#UNIQ
parameters than elements ofSTIMLIST
are used, we loop back around to the start of the permutation generated for this randomizer.
'parameterName': 'STIMLIST#UNIQ'
Default: {}
recorder
VideoRecorder
private
recorderReady
Boolean
private
selectNextFrame
String
Function to select which frame index to go to when using the 'next' action on this frame. Allows flexible looping / short-circuiting based on what has happened so far in the study (e.g., once the child answers N questions correctly, move on to next segment). Must be a valid Javascript function, returning a number from 0 through frames.length - 1, provided as a string.
Arguments that will be provided are:
frames
, frameIndex
, expData
, sequence
, child
, pastSessions
frames
is an ordered list of frame configurations for this study; each element
is an object corresponding directly to a frame you defined in the
JSON document for this study (but with any randomizer frames resolved into the
particular frames that will be used this time).
frameIndex
is the index in frames
of the current frame
expData
is an object consisting of frameId
: frameData
pairs; the data associated
with a particular frame depends on the frame kind.
sequence
is an ordered list of frameIds, corresponding to the keys in expData
.
child
is an object that has the following properties - use child.get(propertyName)
to access:
additionalInformation
: String; additional information field from child formageAtBirth
: String; child's gestational age at birth in weeks. Possible values are "24" through "39", "na" (not sure or prefer not to answer), "<24" (under 24 weeks), and "40>" (40 or more weeks).birthday
: timestamp in format "Mon Apr 10 2017 20:00:00 GMT-0400 (Eastern Daylight Time)"gender
: "f" (female), "m" (male), "o" (other), or "na" (prefer not to answer)givenName
: String, child's given name/nicknameid
: String, child UUID
pastSessions
is a list of previous response objects for this child and this study,
ordered starting from most recent (at index 0 is this session!). Each has properties
(access as pastSessions[i].get(propertyName)):
completed
: Boolean, whether they submitted an exit surveycompletedConsentFrame
: Boolean, whether they got through at least a consent frameconditions
: Object representing any conditions assigned by randomizer framescreatedOn
: timestamp in format "Thu Apr 18 2019 12:33:26 GMT-0400 (Eastern Daylight Time)"expData
: Object consisting of frameId: frameData pairsglobalEventTimings
: list of any events stored outside of individual frames - currently just used for attempts to leave the study earlysequence
: ordered list of frameIds, corresponding to keys in expData
Example that just sends us to the last frame of the study no matter what:
`"function(frames, frameIndex, frameData, expData, sequence, child, pastSessions) {return frames.length - 1;}"
``
Default: null
sessionAudioOnly
Number
Default: 0
sessionMaxUploadSeconds
Number
Default: 10
startRecordingAutomatically
Boolean
Default: false
startSessionRecording
Number
Default: false
stoppedRecording
Boolean
private
videoId
String
private
videoStream_<experimentId>_<frameId>_<sessionId>_timestampMS_RRR
where RRR are random numeric digits.
videoList
List
private
videoTypes
String[]
['typeA', 'typeB']
and a video source
is given as intro
, the video source will be
expanded out to
[
{
src: 'baseDir' + 'typeA/intro.typeA',
type: 'video/typeA'
},
{
src: 'baseDir' + 'typeB/intro.typeB',
type: 'video/typeB'
}
]
Default: ['mp4', 'webm']
Data keys collected
These are the fields that will be captured by this frame and sent back to the Lookit server. Each of these fields will correspond to one row of the CSV frame data for a given response - the row will havekey
set to the data key name, and value
set to the value for this response.
Equivalently, this data will be available in the exp_data
field of the response JSON data.
eventTimings
Ordered list of events captured during this frame (oldest to newest). Each event is
represented as an object with at least the properties
{'eventType': EVENTNAME, 'timestamp': TIMESTAMP}
.
See Events tab for details of events that might be captured.
Events
enteredFullscreen
leftFullscreen
nextFrame
Move to next frame
pauseVideo
previousFrame
Move to previous frame
recorderReady
sessionRecorderReady
startCalibration
Start of EACH calibration segment
Event Payload:
-
location
Stringlocation of calibration ball, relative to child: 'left', 'right', or 'center'
stoppingCapture
unpauseVideo
videoStreamConnection
Event Payload:
-
status
Stringstatus of video stream connection, e.g. 'NetConnection.Connect.Success' if successful


President, Vice President, Secretary, and Treasurer Updates.
View our photos and videos from races, rides, and trips.
Check here to see our spring break news, season ending summaries and other club stuff.
Thanks to all that participated. Mike, Ben, Kyle, Mitch, Brady, and Bruce all completed the 100k. Sam had a rough day. Great way to support the community.
http://ucni.donordrive.com/index.cfm?fuseaction=donorDrive.event&eventID=512
Last year we had a blast. This year we will be going to the same place. View our photo gallery and updates to see how it went!
Ben Horn will be taking over as web master starting September 2016. Any questions or concerns reach out to him. We can always add features and update your account pages.
President | Sam Ransohoff
Vice Pres | Mike Emerson
Secretary | Jake Kastens
Treasurer | Kyle Melling


My name is Bahar, and I am an undergrad student in Computer Science major. Although I see myself a true San Diegan, but I'm originally from Iran. Iranian government does not allow me and other people of my religion to have higher education, so I moved to the U.S. ten years ago to follow my goals and achieve my dreams. I started my undergrad degree at the University of Illinois, but then I had to move back to California and have the opportunity to get my degree from San Francisco State University
In the world of Computer Science, I have more experience in some programming languages like Java, C, C++, JavaScript, and HTML.
My hunger for knowledge and determination to turn information into action formed some of my professional and personal accomplishments, including:
- Undergrad minor degree in Math
- Associate degree in Math and science
- Second place in Math and Science Olympiad
- Software engineer in a startup program in San Diego
- ACM (Association for Computing Machinery) leader at University of Illinois
- Manager at Wells Fargo and US Bank in San Diego
Hobbies are a way of escaping daily routine, and gaining experience without feeling
pressure. Some of my outside hobbies and interests as a Computer Science major student
and a programmer are:
Writing, cinema and watching movies, going to the beach, hiking, reading, and of course shoe shopping!
My friends are my family and hanging out with them is one of my biggest interests.


AKA "screw 1NF"
Since Rails 0.x
class Shop < ActiveRecord::Base
serialize :settings
end
>> shop.settings = {language: 'en'}
Serialize anything to YAML by default
class Shop < ActiveRecord::Base
serialize :settings, Settings
end
A class can be specified to ensure that only expected types are serialized
class Settings
def self.dump(settings)
MultiJson.dump(settings.to_hash)
end
def self.load(string)
new(MultiJson.load(string))
end
end
If both load and dump are implemented, the class is responsible of his own serialization
Since Rails 3.2
class Shop < ActiveRecord::Base
store :settings
end
>> shop.settings[:language] = 'en'
Always serialize a Hash (in YAML by default)
class Shop < ActiveRecord::Base
store :settings, accessors: [:language]
end
>> shop.language = 'en'
Allow to define accessors
Since Rails 4.0
class Shop < ActiveRecord::Base
store :settings, coder: MultiJson
end
Can change the serialization method
Compatible with Rails >= 3.2
class Shop < ActiveRecord::Base
typed_store :settings do |s|
s.string :language
end
end
>> shop.language = 'en'
Same behavior than store
class Shop < ActiveRecord::Base
typed_store :settings do |s|
s.integer :drinking_age
end
end
>> shop.drinking_age = '18'
>> shop.drinking_age
=> 18
But type can be specified
class Shop < ActiveRecord::Base
typed_store :settings do |s|
s.integer :drinking_age, default: 21
end
end
>> Shop.new.drinking_age
=> 21
Just like default value
class Shop < ActiveRecord::Base
typed_store :settings do |s|
s.integer :drinking_age, default: 21, null: false
end
end
>> shop.drinking_age = nil
>> shop.drinking_age
=> 21
And null can be prevented
class Shop < ActiveRecord::Base
typed_store :settings do |s|
s.string :language, default: 'en', blank: false
end
end
>> shop.language = ' '
>> shop.language
=> 'en'
And blank too
class Shop < ActiveRecord::Base
typed_store :settings do |s|
s.string :tags, array: true, default: [], null: false
end
end
>> shop.tags = ['ruby', 'web']
You can even store an array of values
>> shop.dinking_age?
=> true
>> shop.dinking_age_changed?
=> false
>> shop.dinking_age = 18
>> shop.dinking_age_changed?
=> true
>> shop.dinking_age_was
=> 21
Accessors are plain attributes
Jean Boussier
Shopify
https://github.com/byroot
https://github.com/byroot/activerecord-typedstore


Extension: Mapping reads to references¶
If we were only interested in the species for which we have reference sequences, for example if we were monitoring for a single or set of known species, there isn’t really much need to generate anonymous OTUs. We could simply map our trimmed, merged and quality filtered reads against the references directly, to get counts of our reference species in each sample.
Data and software
This tutorial requires as input a FASTA file of trimmed, merged and quality filtered reads, and a FASTA file of reference sequences. If you’re following along step-by-step, we produced the former back in the quality trimming tutorial. Alternatively, the files 4_mbc_concat.fasta
and references_CCCPbarcodes.fasta
within the sectionE archive can be used as example data.
Searching reads¶
We’ve carried out searching in two different previous tutorials: using BLAST when we searched our OTUS against references, and using usearch_global
when searching reads against OTUs.
Exercise
- Using what you learned in these previous tutorials, design commands to search your reads file against your reference sequences. Try using both BLAST and VSEARCH
--usearch_global
. - Experiment with different thresholds and outputs, in particular try the
--otutabout
option for VSEARCH - Is one method clearly superior?


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | __init__ |
| def | AddFile |
| def | Describe |
| def | Begin |
| def | UploadFile |
| def | Precompile |
| def | PrecompileBatch |
| def | Commit |
| def | Deploy |
| def | IsReady |
| def | StartServing |
| def | IsServing |
| def | GetLogUrl |
| def | IsEndpointsConfigUpdated |
| def | Rollback |
| def | DoUpload |
Provides facilities to upload a new appversion to the hosting service. Attributes: rpcserver: The AbstractRpcServer to use for the upload. config: The AppInfoExternal object derived from the app.yaml file. app_id: The application string from 'config'. version: The version string from 'config'. backend: The backend to update, if any. files: A dictionary of files to upload to the rpcserver, mapping path to hash of the file contents. in_transaction: True iff a transaction with the server has started. An AppVersionUpload can do only one transaction at a time. deployed: True iff the Deploy method has been called. started: True iff the StartServing method has been called. logging_context: The _ClientDeployLoggingContext for this upload.
| def google.appengine.tools.appcfg.AppVersionUpload.__init__ | ( | self, | |
| rpcserver, | |||
| config, | |||
module_yaml_path = 'app.yaml' , |
|||
backend = None , |
|||
error_fh = None , |
|||
get_version = sdk_update_checker.GetVersionObject , |
|||
usage_reporting = False |
|||
| ) |
Creates a new AppVersionUpload. Args: rpcserver: The RPC server to use. Should be an instance of HttpRpcServer or TestRpcServer. config: An AppInfoExternal object that specifies the configuration for this application. module_yaml_path: The (string) path to the yaml file corresponding to <config>, relative to the bundle directory. backend: If specified, indicates the update applies to the given backend. The backend name must match an entry in the backends: stanza. error_fh: Unexpected HTTPErrors are printed to this file handle. get_version: Method for determining the current SDK version. The override is used for testing. usage_reporting: Whether or not to report usage.
| def google.appengine.tools.appcfg.AppVersionUpload.AddFile | ( | self, | |
| path, | |||
| file_handle | |||
| ) |
Adds the provided file to the list to be pushed to the server. Args: path: The path the file should be uploaded as. file_handle: A stream containing data to upload.
| def google.appengine.tools.appcfg.AppVersionUpload.Begin | ( | self | ) |
Begins the transaction, returning a list of files that need uploading. All calls to AddFile must be made before calling Begin(). Returns: A list of pathnames for files that should be uploaded using UploadFile() before Commit() can be called.
| def google.appengine.tools.appcfg.AppVersionUpload.Commit | ( | self | ) |
Commits the transaction, making the new app version available. All the files returned by Begin() must have been uploaded with UploadFile() before Commit() can be called. This tries the new 'deploy' method; if that fails it uses the old 'commit'. Returns: An appinfo.AppInfoSummary if one was returned from the Deploy, None otherwise. Raises: RuntimeError: Some required files were not uploaded. CannotStartServingError: Another operation is in progress on this version.
| def google.appengine.tools.appcfg.AppVersionUpload.Deploy | ( | self | ) |
Deploys the new app version but does not make it default. All the files returned by Begin() must have been uploaded with UploadFile() before Deploy() can be called. Returns: An appinfo.AppInfoSummary if one was returned from the Deploy, None otherwise. Raises: RuntimeError: Some required files were not uploaded.
| def google.appengine.tools.appcfg.AppVersionUpload.Describe | ( | self | ) |
Returns a string describing the object being updated.
| def google.appengine.tools.appcfg.AppVersionUpload.DoUpload | ( | self, | |
| paths, | |||
| openfunc | |||
| ) |
Uploads a new appversion with the given config and files to the server. Args: paths: An iterator that yields the relative paths of the files to upload. openfunc: A function that takes a path and returns a file-like object. Returns: An appinfo.AppInfoSummary if one was returned from the server, None otherwise.
| def google.appengine.tools.appcfg.AppVersionUpload.GetLogUrl | ( | self | ) |
Get the URL for the app's logs.
| def google.appengine.tools.appcfg.AppVersionUpload.IsEndpointsConfigUpdated | ( | self | ) |
Check if the Endpoints configuration for this app has been updated. This should only be called if the app has a Google Cloud Endpoints handler, or if it's removing one. The server performs the check to see if Endpoints support is added/updated/removed, and the response to the isserving call indicates whether IsEndpointsConfigUpdated should be called. Raises: AssertionError: Deploy has not yet been called. CannotStartServingError: There was an unexpected error with the server response. Returns: True if the configuration has been updated, False if not.
| def google.appengine.tools.appcfg.AppVersionUpload.IsReady | ( | self | ) |
Check if the new app version is ready to serve traffic. Raises: RuntimeError: Deploy has not yet been called. Returns: True if the server returned the app is ready to serve.
| def google.appengine.tools.appcfg.AppVersionUpload.IsServing | ( | self | ) |
Check if the new app version is serving. Raises: RuntimeError: Deploy has not yet been called. CannotStartServingError: A bad response was received from the isserving API call. Returns: (serving, response) Where serving is True if the deployed app version is serving, False otherwise. response is a dict containing the parsed response from the server, or an empty dict if the server's response was an old style 0/1 response.
| def google.appengine.tools.appcfg.AppVersionUpload.Precompile | ( | self | ) |
Handle precompilation.
| def google.appengine.tools.appcfg.AppVersionUpload.PrecompileBatch | ( | self, | |
| files | |||
| ) |
Precompile a batch of files. Args: files: Either an empty list (for the initial request) or a list of files to be precompiled. Returns: Either an empty list (if no more files need to be precompiled) or a list of files to be precompiled subsequently.
| def google.appengine.tools.appcfg.AppVersionUpload.Rollback | ( | self | ) |
Rolls back the transaction if one is in progress.
| def google.appengine.tools.appcfg.AppVersionUpload.StartServing | ( | self | ) |
Start serving with the newly created version. Raises: RuntimeError: Deploy has not yet been called. Returns: The response body, as a string.
| def google.appengine.tools.appcfg.AppVersionUpload.UploadFile | ( | self, | |
| path, | |||
| file_handle | |||
| ) |
Uploads a file to the hosting service. Must only be called after Begin(). The path provided must be one of those that were returned by Begin(). Args: path: The path the file is being uploaded as. file_handle: A file-like object containing the data to upload. Raises: KeyError: The provided file is not amongst those to be uploaded.


My friends and I decided it would be fun to take ecstasy. I had taken it before and thought it was a sign from God that I should be happy. It had been 4 years to the day since I had taken ecstasy. So much had changed since then... I was no longer a runaway looking for a good time, I fancied myself an enlightened individual.
I was taking Paxil CR because of my social anxiety disorder and depression. When my friend asked me to go to her boyfriend's house with her, I was looking forward to the outing because it meant that I got to be creative since he had designated me his muse. When we got there, I thought I would watch them get smoke some pot and then we would talk for hours like we usually did. Little did I know that we had more money than we had planned, and so could afford better drugs than pot.
We went to his friends' house and bought 10 pills. When we got to our final destination at another friend's house, we divided them up; one for me, one for my boyfriend, one for my friend, one for her boyfriend, one for our other friend, one for his sister, one for her boyfriend, another half for me, and then a few lines for all.
Everything was going good, we were rolling down a hill, spinning in circles, smoking lots of cigarettes, and generally having a good time. I decided to sit outside by myself for a few minutes, and that's when it hit me. I started to sweat and shake and crave water. As I got up to get the water, I felt a pressure in the back of my head. I thought it was from sitting down for too long. I was so wrong.
When I finally made it inside, I barely got a chance to ask for a garbage can before I started throwing up.  I went back outside for a while to sit and think. By then, the pressure in my head was so great that I wanted to drill a hole in my head to relieve some of it. My boyfriend came out and asked me if I was alright. That's when I started crying and throwing up in earnest. When I could talk again, I told him that I thought I was going to die. I told him that I loved him and wanted to marry him some day. I'm still not sure if he thought I was serious. After a while outside with my boyfriend, we went back inside where everyone was blowing each other up. I tried to ignore my pounding headache and have fun with them, but it didn't work, and I just ended up passing out on the couch.
The next day, I went back to my boyfriend's house and slept all day. The day after that, we decided to give it another try. This time, I only took half of a pill, and I thought I was fine for a while. It wasn't until about two hours later that I started throwing up again and looking for a drill with which to put a hole in my head to drain the pressure. It took me a while to realize that what I was going to do would kill me, but by then the headache started to recede. Then some drunk girl came over, and the headache returned with a vengance. Along with the headache came the paranoia that everyone hated me and that they were all making fun of me. I called another friend to come and drive my boyfriend and me home.
The entire week after the rolling parties, I thought that my head would explode. I stopped taking my paxil and I started to feel better. During a discussion with my friend's boyfriend, we came up with the theory that the ecstasy and the paxil were fighting in my head for control of the seratonin.
 A few months ago, I started taking Lexapro, and I've never felt better. I don't plan on doing ecstasy again - ever.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


That Darn Katz!
What's with you kids? Every other day it's food, food, food.  Okay, it's 500 dollars, you have no choice of carrier, the battery can't hold the charge and the reception isn't very… Oh yeah, good luck with that. It doesn't look so shiny to me. I'm Santa Claus!
A Leela of Her Own
I don't 'need' to drink. I can quit anytime I want! Okay, I like a challenge. Ask her how her day was.
- With a warning label this big, you know they gotta be fun!
- Well I'da done better, but it's plum hard pleading a case while awaiting trial for that there incompetence.
- That's a popular name today. Little "e", big "B"?
 Can I use the gun? I'll get my kit! Large bet on myself in round one.
I, Roommate
Hi, I'm a naughty nurse, and I really need someone to talk to. $9.95 a minute. When the lights go out, it's nobody's business what goes on between two consenting adults. And from now on you're all named Bender Jr. A true inspiration for the children. This is the worst part. The calm before the battle. With a warning label this big, you know they gotta be fun!
- Please, Don-Bot… look into your hard drive, and open your mercy file!
- And why did 'I' have to take a cab?
- And remember, don't do anything that affects anything, unless it turns out you were supposed to, in which case, for the love of God, don't not do it!
- Okay, it's 500 dollars, you have no choice of carrier, the battery can't hold the charge and the reception isn't very…
I Dated a Robot
There's no part of that sentence I didn't like! Well I'da done better, but it's plum hard pleading a case while awaiting trial for that there incompetence. When will that be?


--- layout: jsdoc title: "Module: workbox-google-analytics" jsdocNav: - Modules: - workbox-background-sync - workbox-broadcast-cache-update - workbox-build - workbox-cache-expiration - workbox-cacheable-response - workbox-google-analytics - workbox-precaching - workbox-routing - workbox-runtime-caching - workbox-sw - workbox-webpack-plugin ---
In order to use the library, call
workbox.googleAnalytics.initialize()
.
It will take care of setting up service worker fetch
handlers to ensure
that the Google Analytics JavaScript is available offline, and that any
Google Analytics requests made while offline are saved (using IndexedDB
)
and retried the next time the service worker starts up.
// This code should live inside your service worker JavaScript, ideally
// before any other 'fetch' event handlers are defined:
// First, import the library into the service worker global scope:
importScripts('path/to/offline-google-analytics-import.js');
// Then, call workbox.googleAnalytics.initialize():
workbox.googleAnalytics.initialize();
// At this point, implement any other service worker caching strategies
// appropriate for your web app.
// If you need to specify parameters to be sent with each hit, you can use
// the `parameterOverrides` configuration option. This is useful in cases
// where you want to set a custom dimension on all hits sent by the service
// worker to differentiate them in your reports later.
workbox.googleAnalytics.initialize({
parameterOverrides: {
cd1: 'replay'
}
});
// In situations where you need to programmatically modify a hit's
// parameters you can use the `hitFilter` option. One example of when this
// might be useful is if you wanted to track the amount of time that elapsed
// between when the hit was attempted and when it was successfully replayed.
workbox.googleAnalytics.initialize({
hitFilter: searchParams =>
// Sets the `qt` param as a custom metric.
const qt = searchParams.get('qt');
searchParams.set('cm1', qt);
}
});
| Parameters |
|
|---|


Assessment 6
Calender of 2020
January
February
March
April
May
June
July
August
September
October
November
December


Sorry, but you are unable to view your deed through this service. This is probably not because any of the details you just entered were wrong.
Why can't I view my deed?
Your conveyancer will have been contacted about this and will be able to provide you with more information about the state of your mortgage application, please contact them.


growthcleanr
offers several options for configuration,
with default values set to address common cases. You may wish to
experiment with the settings to discover which work best for your
research and your dataset.
All of the following options may be set as additional parameters in
the call to cleangrowth()
.
The following options change the behavior of the growthcleanr algorithm.
recover.unit.error
- default FALSE
;
when FALSE
, measurements identified as unit errors (e.g.,
apparent height values in inches instead of centimeters) will be flagged
but not corrected, when TRUE
these values will be corrected
and included as valid measurements for cleaning.
sd.extreme
- default 25
; a very extreme
value check on modified (recentered) Z-scores used as a first-pass
elimination of clearly implausible values, often due to misplaced
decimals.
z.extreme
- default 25
; similar usage
as sd.extreme
, for absolute Z-scores.
NOTE: many different steps in the
growthcleanr
algorithm use highly refined techniques to
identify implausible values that require more subtlety to detect. These
default values for sd.extreme
and z.extreme
are set very high by design to eliminate completely implausible values
early in the process; these extreme values require none of
growthcleanr
’s additional, more subtle approaches to be
identified as exclusions. If sd.extreme
and
z.extreme
are configured to be lower values, measurements
eliminated at the early step which checks against these extreme values
will not be further considered using later techniques.
include.carryforward
- default FALSE
;
if set to TRUE
, growthcleanr
will skip
algorithm step 9, which identifies carried forward measurements, and
will not flag these values for exclusion.
ewma.exp
- default -1.5
; the exponent
used for weighting measurements when calculating exponentially weighted
moving average (EWMA). This exponent should be negative to weight growth
measurements closer to the measurement being evaluated more strongly.
Exponents that are further from zero (e.g., -3
) will
increase the relative influence of measurements close in time to the
measurement being evaluated compared to using the default
exponent.
ref.data.path
- defaults to using CDC reference data
from year 2000; supply a file path to use alternate reference data. Note
that when running from an installed growthcleanr
package
(e.g. having called library(growthcleanr)
), this path does
not need to be specified. Developers testing the source code directly
from the source directory will need to specify this as well.
error.load.mincount
- default 2
;
minimum count of exclusions on parameter for one subject before
considering excluding all measurements.
error.load.threshold
- default 0.5
;
threshold to exceed for percentage of excluded measurement count
relative to count of included other measurement (e.g., if 3 of 5 WTs are
excluded, and 5 corresponding HTs are included, this exceeds the 0.5
threshold and the other two WTs will be excluded).
lt3.exclude.mode
- default default
;
determines type of exclusion procedure to use for 1 or 2 measurements of
one type without matching same ageday measurements for the other
parameter. Options include:
default
- standard growthcleanr approachflag.both
- in case of two measurements with at least
one beyond thresholds, flag both instead of one (as in default)sd.recenter
- default NA
; specifies how
to recenter medians. May be a data frame or table w/median SD-scores per
day of life by gender and parameter, or “nhanes
” or
“derive
” as a character vector.
sd.recenter
is specified as a data set, use the data
setsd.recenter
is specified as “nhanes
”,
use NHANES reference medianssd.recenter
is specified as “derive
”,
derive from inputsd.recenter
is not specified or NA
:
If specifying a data set, columns must include param, sex, agedays, and sd.median (referred to elsewhere as “modified Z-score”), and those medians will be used for centering. This data set must include a row for every ageday present in the dataset to be cleaned; the NHANES reference medians include a row for every ageday in the range (731-7305 days). A summary of how the NHANES reference medians were derived is below under NHANES reference data.
adult_cutpoint
- default 20
; number
between 18 and 20, describing age limit in years above which the
pediatric algorithm should not apply (< adult_cutpoint), and the
adult algorithm should apply (>= adult_cutpoint). Numbers outside
this range will be changed to the closest number within the
range.
weight_cap
- default Inf
; weight_cap
Positive number, describing a weight cap in kg (rounded to the nearest
.1, +/- .1) within an adult dataset. This may be used when a dataset
shared for research is known to clamp values for privacy reasons. If
there is no weight cap, set to Inf (default). This option is not used
with pediatric subjects.
The following options change the execution of the program overall, with no effect on the algorithm itself.
parallel
- default FALSE
; set to
TRUE
to run growthcleanr
in parallel. Running
in parallel will split the input data into batches (while keeping all
records for each subject together) and process each batch on a different
processor/core to maximize throughput. Recommended for large datasets
with more than 100K rows.
num.batches
- specifies the number of batches to run
in parallel; only applies if parallel
is set to
TRUE
. Defaults to the number of workers returned by the
getDoParWorkers()
function in the foreach
package. Note that processing in parallel may affect overall system
performance.
sdmedian.filename
- filename for optionally saving
sd.median data calculated on the input dataset to as CSV. Defaults to
""
, for which this data will not be saved. Use for
extracting medians for parallel processing scenarios other than the
built-in parallel option. See notes on large data
sets for details.
sdrecentered.filename
- filename to save re-centered
data to as CSV. Defaults to ““, for which this data will not be saved.
Useful for post-processing and debugging.
adult_columns_filename
- default ""
;
Name of file to save original adult data, with additional output columns
to as CSV. Defaults to ““, for which this data will not be saved. Useful
for post-analysis. For more information on this output, please see
README.
quietly
- default TRUE
; when
TRUE
, displays function messages and will output log files
when parallel
is TRUE
.
log.path
- default "."
; sets directory
for batch log file output when processing with
parallel = TRUE
. A new directory will be created if
necessary.
growthcleanr
releases
up to 1.2.4 offered two options for recentering medians, either the
default of deriving medians from the input set, or supplying an
externally-defined set of medians. These left out an option for
researchers working with either small datasets or with data which might
otherwise not be representative of the population, as deriving medians
from the input set in those cases might be problematic. To provide a
standard default reference to address these latter cases, a set of
medians were derived from the National Health and
Nutrition Examination Survey (NHANES). A summary of that process is
below. As of release 1.2.5, the default behavior is:
sd.recenter
is specified as a data set, use the data
setsd.recenter
is specified as nhanes
, use
NHANESsd.recenter
is specified as derive
,
derive from inputsd.recenter
is not specified or NA
:
With the verbose cleangrowth()
option
quietly = FALSE
, the recentering medians approach used will
be noted in the output. If the input set has fewer than 100 observations
for any age-year, this will also be noted in the output.
The NHANES reference medians are based primarily on data from NHANES 2009-2010 through 2017-2018, including approximately 39,000 heights/lengths and weights from children and adolescents between the ages of 0 months and <240 months. Weight and height SD scores were calculated from the L, M, and S parameters for the CDC growth charts were used as the reference to calculate weight and height SD scores for the NHANES 2009-2010 through 2017-2018 samples. Based on the distributions of age-days in children at 0 months, an age adjustment was made based on the median number of days among these infants. This adjustment was made after consultation with the National Center for Health Statistics confirmed that a general assumption of ages occurring at the midpoint of the indicated integer month of age did not apply to children recorded as 0 months, and uses 0.75 months instead.
Weights were supplemented with a random sample of birthweights from
NCHS’s Vital
Statistics Natality Birth Data for 2018. These had sample weights
assigned so that the sum of the sample weights for the sample equalled
the sum of the sample weights for each month for infants in NHANES, as
NHANES is a multi-stage complex survey. The reference data was then
smoothed using the svysmooth()
function in the R survey
package to estimate the weight and height SD scores for each day up to
7,305 days, with a bandwidth chosen to balance between over- and
under-fitting, and interpolation between the estimates from this
function was used to obtain an estimate for each day of age. Predictions
from a regression model fit to smoothed height SDs between 23 and 365
days (the youngest child in NHANES had an estimated age in days of 23)
were used to extend smoothed height SD scores to children between 1 and
22 days of age.


{% extends 'base.html' %} {% block title %}
Select just a start month to see statistics for that month or select a range.


Spencer
Pao
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Health Project
Encompasses Data Science applications
Health Diagnostics


Classes
The following classes are available globally.
-
Undocumented
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The dashboardController converts and formats run-related values.
The model stores the unconverted/formatted values, and string properties store the currently converted/formatted values. Hooks are available for a UIViewController to access the string properties.
See moreDeclaration
Swift
class DashboardController: DashboardControllerProtocol
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Handles displaying run-related values to the user.
See moreDeclaration
Swift
class DashboardViewC: UIViewController
-
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The initial view controller for the application.
The MainViewC is responsible for controlling most of the communication and navigation between child view controllers. It also controls the opening and closing of the side menu view.
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Swift
final class MainViewC: UIViewController, LoadRunDelegate, RequestMainDataDelegate, SegueCoordinationDelegate, TopMenuDelegate, MultipeerViewHandlerProtocol, GameViewPresenterDelegate
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Undocumented
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Seeking a challenging position in a reputable organization to expand and utilize my learning, skills and knowledge. Possess excellent communication skills and have an eye for detail. Flexible to work in any environment as required.
Completed My B.Tech in ELECTRICAL ENGINEERING from CALCUTTA INSTITUTE OF ENGINEERING AND MANAGEMENT in 2019 with DGPA 7.63.
Completed My INTERMEDIATE in SCIENCE Stream from BIHAR SCHOOL EXAMINATION BOARD in 2015 with 71%.


| | |
- builtins.object
-
- Arm
class Arm(builtins.object) |
| |
This class defines a command object to hold various
parameters needed to build / send a serial command
to the Lynxmotion controller.
The command is sent using the `com` attribute. This should
be a valid pyserial object.
All parameters are optional but must be between 1 and 100.
Default value is 50.
A note on servo channels:
-------------------------
The channels here are numbered from 0 to 4 with 0 being the
base and 4 the gripper. Here is the full list of the channel
assignments:
CH | Servo
------------
0 | base
1 | shoulder
2 | elbow
3 | wrist
4 | gripper
_____________ |
| |
Methods defined here:
- __init__(self, speed=50, base=50, shoulder=50, elbow=50, wrist=50, gripper=50, com=None, time=0)
- Initialize self. See help(type(self)) for accurate signature.
- __setattr__(self, attr, value)
- Implement setattr(self, name, value).
- __str__(self)
- return a string representation of an Arm instance.
Allows the use of print(my_arm)
- default_params(self)
- Returns all position parameters to the default of 50
- dump_params(self)
- Returns a dictionary of position/speed params.
This is especially useful when saving teach points.
- home(self)
- Returns all servos to the midpoint (home) position.
- move(self, **kwargs)
- Sends the proper commands to the SCC32 using com
- scale_params(self)
- set_params(self, **kwargs)
- Update params based on key,value pairs in kwargs.
Example:
my_arm = Arm()
my_arm.set_params(speed=100,base=50)
or with a dictionary of key,value pairs
d = {'speed':100, 'base':50}
my_arm.set_params(**d)
- to_command(self)
- Returns a command string for the current parameters
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
| |


gtopk
The probably most useful Graph creation algorithm in this Package. Runs a TopK algorithm, connecting each node to its K neirest neighbours in a Space with a learnable Metrik.
Arguments
- gs: The Number of Nodes of the Graph (Graph Size)
- param: The Number of Features for each Node
- k: How many connections should each node have
- free: How many empty Features does this Layer create
- learnable: Weather the metrik should be learnable
- self_interaction=False: Should connections from a node to its self be allowed? Please note, that for any metrik with elements below zero does not require that the distance from a node to another node is minimal when both nodes are the same.
- self_interaction_const=100.0: To disallow connections between the same nodes, the Layer adds this constant to the distance between those nodes, so this constant should probably be modified if needed and the order of magnitude of the Input is large.
- metrik_init=keras.initializers.TruncatedNormal(mean=0.0,stddev=0.05): Initializer of the metrik defining distances
- numericalC=10000: Constant for Numerical Safety
- emptyconst=100000000.0: This Layer understands Flags. Sums distances between non flagged Nodes with this constant. It is so much higher than self_interaction_const, since the Graph Permutation Symmetry henges on it
- flag=7: The Flag index


|
Arby's
2010 Barnett Shoals Road
Barnes & Noble
3650 Atlanta Highway
Beef "O" Brady's
1860 Barnett Shoals Road
Chick Fil-A
Barnett Shoals Road
Domino's Pizza
115 Gaines School Road
Food Lion
1055 Gaines School Road
Jittery Joe's Coffee Roasting
1860 Barnett Shoals Road
Johnnie's Roses & More
50 Gaines School Road
K-Mart
2000 Barnett Shoals Road
|
Kinko's
2235 W. Broad Street
Papa John's Pizza
1860 Barnett Shoals Road
Pizza Hut
1995 Barnett Shoals Road
Primerica Financial Services
555 Gaines School Road
Ryans
2020 Barnett Shoals Road
Son's of Italy
2095-A S. Milledge Avenue
Stanfield Air System
925 W. Broad Street
Weaver D's
1016 W. Broad Street |


{% extends 'registration/base.html' %} {% block content %}
We've Emailed you Instructions to Reset Password if Account Exists with Email You Will Received Password Reset Instruction On your Email


{{CurrentAllergy.PatientAllergyId ? 'Update' : 'Add' }} Allergy
Type Of Allergy
*
:
Medication
Non Medication
Food
AdvRec
Select Allergy Type
{{CurrentAllergy.AllergyType}}
*
:
Select Allergen or Adverse Reaction
{{CurrentAllergy.AllergyType}}
*
:
Mention allergy
Severity
:
Mild
Moderate
Severe
Unknown
Verified
:
Yes
No
Reaction
*
:
Select Reaction
Comments
:
{{CurrentAllergy.PatientAllergyId ? 'Update' : 'Add' }}


Rachna Ramkumar, rr3656
Mini-project 1
Visualization 2
Question: Do the countries that receive the most tend to cluster around specific geographical areas of the world? Are there neighbouring countries that have radically different patterns in terms of how much they receive vs. how much they donate?
Explanation:For this visualisation we can use a choropleth of the world map with bubbles on each country. In every bubble the amount donated is of a particular colour and received is of another colour. And also the bubble size would determine how big is the amount that is donated/received. For Example refer a sample chart below,
PROS:We can analyse the dataset based on specific geographical areas and determine if geographical factors are responsible for the donation offered/received.
CONS: Analysing the dataset and pre-processing it to scale it to visualise into this chart is tricky and challenging.
Feature: Moving the cursor over a bubble would indicate the name of the country the bubble is in.
GEOGRAPHICAL REPRESENTATION


Match Play. Red trails 8-9 to 13. Should Red double? If doubled, should White take?
pips Red=67 White=73
(CorrectAnswer= 0/0, ErrorScore= 0)
Firstly, my apologies. The problem should have stated that the match score was 8-9 to 13. At that score the position is no double/take. Giving white the cube on 2 when he might have a perfectly efficient redouble to 4 later (and thus win the match) should give Red pause for thought.
For money this is a borderline double and a trivial take.
At 8-9 to 11 this is a huge double. At 2-away vs 3-away the rule is “double early as the trailer, drop early as the leader”. Two points get Red to the Crawford Game.
Not doubling is nearly a double blunder but the take is still trivial.
For money this is a borderline double and a trivial take.
At 8-9 to 11 this is a huge double. At 2-away vs 3-away the rule is “double early as the trailer, drop early as the leader”. Two points get Red to the Crawford Game.
Not doubling is nearly a double blunder but the take is still trivial.
Cube analysis 2-ply cubeless equity +0.434 (Money: +0.434) 0.717 0.000 0.000 - 0.283 0.000 0.000 Cubeful equities: 1. No double +0.583 2. Double, pass +1.000 (+0.417) 3. Double, take +0.504 (-0.079) Proper cube action: No double, take (15.9%)


Do not use MachineName
.
- Use of machine name tightly couples your code to our infrastructure and its naming scheme, which can and will change over time.
- Your code should be agnostic of environment, data center, cluster and server. Having different code paths for different environments can lead to bugs that can only be caught in production.
- Such environmental variations are usually only required when calling external services, as you will want to call the service running in your local data center. For this, use Consul's service discovery. It automatically supplies the correct configuration based on your environment.
One exception is logging, where it can be useful to see the exact DC / cluster / server that made the request. Here, it makes sense to log the machine name.


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