The XM module format description for XM files version $0104.
By Mr.H of Triton in 1994.
- Be prepared! Are you sure you want to know? :-)
<< A LOT of comments, corrections and notes added by Guru and
Alfred of Sahara Surfers in 1995. All additions are included in
double angle brackets << like this >> and everything outside
them is left intact. Note the HUGE amount of errors in the
original text. Triton: Perhaps you'd like to include THIS in the
next FT2 release? :-)
Not copyrighted, released into public domain (at least the
additions by us). Feel free to do what you wish. Credits please.
Remember - the added information is based on REAL XM files. >>
============================================================================
******************************
* The XM file structure: *
******************************
Offset Length Type
0 17 (char) ID text: 'Extended module: '
<< Nope: 'Extended Module: ' >>
17 20 (char) Module name, padded with zeroes
37 1 (char) $1a
38 20 (char) Tracker name
58 2 (word) Version number, hi-byte major and low-byte minor
The current format is version $0103
<< Nope, it's $0104. Format versions
below $0104 have a LOT of differences.
Check this field! >>
60 4 (dword) Header size
<< Calculated FROM THIS OFFSET, not from
the beginning of the file! >>
+4 2 (word) Song length (in patten order table)
+6 2 (word) Restart position
+8 2 (word) Number of channels (2,4,6,8,10,...,32)
+10 2 (word) Number of patterns (max 256)
+12 2 (word) Number of instruments (max 128)
+14 2 (word) Flags: bit 0: 0 = Amiga frequency table (see below);
1 = Linear frequency table
+16 2 (word) Default tempo
+18 2 (word) Default BPM
+20 256 (byte) Pattern order table
Patterns:
---------
? 4 (dword) Pattern header length
+4 1 (byte) Packing type (always 0)
+5 2 (word) Number of rows in pattern (1..256)
+7 2 (word) Packed patterndata size
<< Note! This is zero if the pattern is
completely empty and no pattern data
follows! >>
? ? Packed pattern data
Instruments:
------------
? 4 (dword) Instrument size << header that is >>
+4 22 (char) Instrument name
+26 1 (byte) Instrument type (always 0)
<< This seems pretty random, don't
assume it's zero >>
+27 2 (word) Number of samples in instrument
If the number of samples > 0, then the this will follow:
! +29 4 (dword) Sample header size
! +33 96 (byte) Sample number for all notes
! +129 48 (byte) Points for volume envelope
! +177 48 (byte) Points for panning envelope
! +225 1 (byte) Number of volume points
! +226 1 (byte) Number of panning points
! +227 1 (byte) Volume sustain point
! +228 1 (byte) Volume loop start point
! +229 1 (byte) Volume loop end point
! +230 1 (byte) Panning sustain point
! +231 1 (byte) Panning loop start point
! +232 1 (byte) Panning loop end point
! +233 1 (byte) Volume type: bit 0: On; 1: Sustain; 2: Loop
! +234 1 (byte) Panning type: bit 0: On; 1: Sustain; 2: Loop
! +235 1 (byte) Vibrato type
! +236 1 (byte) Vibrato sweep
! +237 1 (byte) Vibrato depth
! +238 1 (byte) Vibrato rate
! +239 2 (word) Volume fadeout
! +241 2 (word) Reserved
<< "Instrument Size" field tends to be more than the
actual size of the structure documented here (it
includes also the extended instrument sample header
above). So remember to check it and skip the additional
bytes before the first sample header >>
!
!  After the instrument header the file contains
ALL sample headers for the instrument followed by the
sample data for all samples >>
!
! Sample data:
! ------------
!
! ? ? Sample data (signed): The samples are stored
! as delta values. To convert to real data:
!
! old=0;
! for i=1 to len
! new=sample[i]+old;
! sample[i]=new;
! old=new;
***********************
* Pattern format: *
***********************
The patterns are stored as ordinary MOD patterns, except that each
note is stored as 5 bytes:
? 1 (byte) Note (0-71, 0 = C-0)
<< Hah. Actually note numbers are 1-96,
97 being the key-off note (try to find
that in the documentation!) >>
+1 1 (byte) Instrument (0-128)
<< More like 1-128 >>
+2 1 (byte) Volume column byte (see below)
+3 1 (byte) Effect type
+4 1 (byte) Effect parameter
A simle packing scheme is also adopted, so that the patterns not become
TOO large: Since the MSB in the note value is never used, if is used for
the compression. If the bit is set, then the other bits are interpreted
as follows:
bit 0 set: Note follows
1 set: Instrument follows
2 set: Volume column byte follows
3 set: Effect follows
4 set: Guess what!
It is very simple, but far from optimal. If you want a better,
you can always repack the patterns in your loader.
******************************
* Volumes and envelopes: *
******************************
The volume formula:
FinalVol=(FadeOutVol/65536)*(EnvelopeVol/64)*(GlobalVol/64)*(Vol/64)*Scale;
<< The FadeOutVol is originally 65535 and is decremented by
instrument.fadeout each tick after note is released >>
The panning formula:
FinalPan=Pan+(EnvelopePan-32)*(128-Abs(Pan-128))/32;
<< Note that the panning envelope values range from 0-64, not
-128 - +127 >>
Envelope:
---------
The envelopes are processed once per frame, instead of every frame where
no new notes are read. This is also true for the instrument vibrato and
the fadeout. Since I am so lazy and the tracker is rather self-explaining
I am not going to write any more for the moment.
<< Anyone have ANY idea how instrument autovibrato works? >>
********************************
* Periods and frequencies: *
********************************
PatternNote = 0..95 (0 = C-0, 95 = B-7)
<< Blah: Note = 1..96, 1 = C-0, 97 = key off >>
FineTune = -128..+127 (-128 = -1 halftone, +127 = +127/128 halftones)
RelativeTone = -96..95 (0 => C-4 = C-4)
RealNote = PatternNote + RelativeTone; (0..118, 0 = C-0, 118 = A#9)
Linear frequence table:
-----------------------
Period = 10*12*16*4 - Note*16*4 - FineTune/2;
Frequency = 8363*2^((6*12*16*4 - Period) / (12*16*4));
Amiga frequence table:
----------------------
Period = (PeriodTab[(Note MOD 12)*8 + FineTune/16]*(1-Frac(FineTune/16)) +
PeriodTab[(Note MOD 12)*8 + FineTune/16]*(Frac(FineTune/16)))
*16/2^(Note DIV 12);
(The period is interpolated for finer finetune values)
Frequency = 8363*1712/Period;
<< The interpolation code above doesn't work because of
several reasons:
1. It does not interpolate (try adding 1 to the
PeriodTab index in the second line)
2. It may go past the table beginning for negative
finetune values
Write your own interpolation routine instead - it's not that
hard. >>
PeriodTab = Array[0..12*8-1] of Word = (
907,900,894,887,881,875,868,862,856,850,844,838,832,826,820,814,
808,802,796,791,785,779,774,768,762,757,752,746,741,736,730,725,
720,715,709,704,699,694,689,684,678,675,670,665,660,655,651,646,
640,636,632,628,623,619,614,610,604,601,597,592,588,584,580,575,
570,567,563,559,555,551,547,543,538,535,532,528,524,520,516,513,
508,505,502,498,494,491,487,484,480,477,474,470,467,463,460,457);
<< Note! The period table is made for 1-based note numbers, so in
practise it contains the period values for B-3 to G#4. Fun. >>
*************************
* Standard effects: *
*************************
0 Appregio << ;) >>
1 (*) Porta up
2 (*) Porta down
3 (*) Tone porta
4 (*) Vibrato
5 (*) Tone porta+Volume slide
6 (*) Vibrato+Volume slide
7 (*) Tremolo
8 Set panning
9 Sample offset
A (*) Volume slide
B Position jump
C Set volume
D Pattern break
E1 (*) Fine porta up
E2 (*) Fine porta down
E3 Set gliss control
E4 Set vibrato control
E5 Set finetune
E6 Set loop begin/loop
E7 Set tremolo control
E9 Retrig note
EA (*) Fine volume slide up
EB (*) Fine volume slide down
EC Note cut
ED Note delay
EE Pattern delay
F Set tempo/BPM
G Set global volume
H (*) Global volume slide
K Key off << also note number 97 >>
L Set envelope position
P (*) Panning slide
R (*) Multi retrig note
T Tremor
X1 (*) Extra fine porta up
X2 (*) Extra fine porta down
(*) = If the command byte is zero, the last nonzero byte for the
command should be used.
<< The commands are reasonably Protracker compatible although
not all PT "features" (some might call them replay routine bugs)
are implemented. >>
*********************************
* Effects in volume column: *
*********************************
All effects in the volume column should work as the standard effects.
The volume column is interpreted before the standard effects, so
some standard effects may override volume column effects.
Value Meaning
0 Do nothing
$10-$50 Set volume Value-$10
: : :
: : :
$60-$6f Volume slide down
$70-$7f Volume slide up
$80-$8f Fine volume slide down
$90-$9f Fine volume slide up
$a0-$af Set vibrato speed
$b0-$bf Vibrato
$c0-$cf Set panning
$d0-$df Panning slide left
$e0-$ef Panning slide right
$f0-$ff Tone porta
<< And here goes one more section that this document really
should have had:
********************
* General layout *
********************
The layout of a typical XM is like this:
XM header (up to and excluding header size field, now 60 bytes)
Rest of the header (length including header size field)
Pattern 0 header (length in header)
Pattern 0 data (length in header)
Pattern 1 header (length in header)
Pattern 1 data (length in header)
... (* number of patterns)
Instrument 0 header (length in size field is this and next one together)
if (numSample > 0)
Extra header
Sample 0 header (size in instrument extra header)
Sample 1 header (size in instrument extra header)
... (* number of samples in instrument)
Sample 0 data (length in sample header)
Sample 1 data (length in sample header)
... (* number of samples in instrument)
Instrument 1 header (length in size field is this and next one together)
... (* number of instruments)
>>
============================================================================
This should be just about everything (I hope?). You will probably need
some information about the MOD format and maybe about S3M.
Have fun!
<< And we sure had! >>
Fredrik Huss / Mr.H of Triton
<< Jarno Paananen & Petteri Kangaslampi - Guru & Alfred / S2
If you have questions that you think we might be able to
answer, have found out more mistakes in this document, or
know how instrument autovibrato works, e-mail us at:
Jarno<EMAIL_ADDRESS>_or_
Petteri<EMAIL_ADDRESS>>>


--- layout: default ---
This is the personal webpage of bay area mathematics professor David Monarres. If you are a student looking for your course's website, you can find them by using the menu above or by following the links below.
Here is a list of the current classes that I am teachig at Cañada and Foothill Colleges. Go here if you need to find a syllabus or other information about your class.
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Marketing Podcast
2019 - 2020
As members of Form and Function Marketing, Northwestern University's only student-run marketing agency, Cate and I discuss interesting spots and industry news. We're amatuer marketing strategists and brand fanatics who decided to document our marketing tête-à-têtes: brand crushes, the latest marketing stunts, and everything in between from our humble sound studio (my dorm room).
Listen now


Class that is used for ConstantCampaign CRUD management
Located in /cc_class.php (line 521)
CC_Utility | --CC_Campaign
Inherited from CC_Utility
CC_Utility::$actionBy
CC_Utility::$apikey
CC_Utility::$apiPath
CC_Utility::$contact_lists
CC_Utility::$curl_debug
CC_Utility::$doNotIncludeLists
CC_Utility::$force_lists
CC_Utility::$lastError
CC_Utility::$login
CC_Utility::$password
CC_Utility::$requestLogin
CC_Utility::$show_contact_lists
Upload a new campaign to ConstantContact server
Check if a specific campaign exist already
Method that compose the needed XML format for a campaign
Method that delete a camaign; this will exclude
the removed campaign from overall statistics
Modifies a campaign
Retrieves all the details for a specific campaign identified by $id.
Method that retrieves campaingn collections from ConstantCampaign If campaign_id is mentioned then only mentioned campaign is retrieved.
If campaign_id represents a status [SENT, DRAFT, RUNNING, SCHEDULED] only the campaigns with that status will be retrieved
Method that returns a html sample for email campaign
Method that validate the current campaign before sending it to server
Inherited From CC_Utility
CC_Utility::__construct()
CC_Utility::doServerCall()
CC_Utility::getCountries()
CC_Utility::getStates()
CC_Utility::isValidEmail()
Documentation generated on Mon, 14 Nov 2011 23:17:42 -0500 by phpDocumentor 1.4.1


--- layout: post title: Quotable Kids date: 2010-10-27 22:45:53.000000000 -04:00 categories: - Family Life tags: [] status: draft type: post published: false meta: _edit_last: '1' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
Don't you just love what comes out of the mouth of babes! Scarlett and Tenneille have taken great joy in trying to get Jairah to repeat what they say to him (thankfully it is quite sweet the things they are trying to teach him!). Anyway, the other day Scarlett asked him to say something and he repeated it back word perfect. Her response was "He said it like a real boy". So there you have it, Jairah is now real and not just a living doll! Now if only I had it on video.


Symbol Index for "Outcome Of Activity"
Symbol Index for diagram
"Outcome Of Activity"
Activity State (Class)
Causal Relation (Class)
CR/Association (Generalization Node)
Outcome Of Activity (Class)
Outcome Of Incident (Class)
Outcome of Property (Class)
source of (Association)


Welcome
Membership
Officers
Newsletter
Conference
Resources
Below are links to sites that may prove interesting and/or useful. Sites will open in a separate browser window.
DOCUMENTS
CCCFLC Constitution
ORGANIZATIONS
ASCCC: Academic Senate for California Community Colleges
ACTFL: American Council on the Teaching of Foreign Languages
ASSIST
Online source for articulation agreements and other course transfer information
CCCCO: California Community Colleges Chancellor's Office
CDE: California Department of Education
California Foreign Language Project
-
CFLP presentation
(ppt formar)
-
Handbook
(pdf format)
CLTA: California Language Teachers Association
CalSACC: California Student Association of Community Colleges
-
Region V
-
Region VI
Californians for Community Colleges
CAL: Center for Applied Linguistics: Foreign Language Education
CCLC: Community College League of California
CFIR: Curriculum Frameworks and Instructional Resources
from the CDE
FCCC: Foundation for California Community Colleges
IMPAC: Intersegmental Major Preparation Articulated Curriculum
Keep California's Promise!
NEA: National Education Association
NFLRC: National K-12 Foreign Language Resource Center
NLRC: National Language Resource Centers
Title VI USDE grant projects
STUDENT LEARNING OUTCOMES AND ASSESSMENT
Cañada College Spanish course SLOs:
Elementary
-
Intermediate
Orange Coast College World Languages SLOs
OTHER
Alphabetical listing of California community colleges
with contact info and website urls (from the CCCCO)
Community College Week
"the independent voice serving community, technical and junior colleges"
(from their site description)
Discussion on proposed exclusion of all first-term language courses
other than English from consideration for fulfillment of the CSU General Education Breadth requirements for Area C2
PBS Online
&
PBS TeacherSource
The World Clock
Find out the time around the world
The Hunger Site
Help feed the world with a mouse click
YOUR SUGGESTIONS
Do you have any suggestions for web sites that could be listed here? If so, please send the URL along with a brief description of the site to:
<EMAIL_ADDRESS>. Thank you!
Web site designed and maintained by
D.Cabanel-Bleuer
, 2003-2022.


I've learned many languages, but this one can be difficult. How well do you understand spanish?
Hey Ellen, I'd love to teach you how to speak Dutch lol. Send me some free tickets to the show tho
Hola como estas?
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Hello.
11:30 AM | April 14Hey Ryan, I'm new to this app.
11:35 AM | April 14No way, that's cool to hear. I'm pretty good with teaching so what's up?
1:23 PM | YesterdayI know a couple languages, but I'm still learning how to speak Spanish. Hopefully, you know it well.
9:15 AM | TodayI've learned many languages, but this one can be difficult. How well do you understand spanish?
9:42 AM | Today


| Home | Applications | Class XRef |
A number of Abstract Classes have been defined to organize different components of your Vision class hierarchy. Abstract classes are not normally instantiated directly; instead they serve to organize a set of subclasses that share some basic behavior. Built-in abstract classes include Collection which is the superclass of List and TimeSeries and Ordinal which is the superclass of Number, Date, and String.
It is useful to have a basic hierarchy for your application classes as well. Several abstract classes have been defined to help organize application classes:
Most applications will interact with the database via Entity instances. The other classes are used to store data or manage navigations from an entity to other parts of the database.
The organization provided by these classes is intended to serve as a guideline that can be applied as appropriate. These classes are all defined in Vision and can therefore be modified and expanded as needed by the database designer.
Note: Some of the classes referenced in this document were added to the Vision bootstrap database as part of release 5.9.4. If your installation was bootstrapped prior to this, you may need to define the following:Entity createSubclass: "Support" ; Entity createSubclass: "Table" ; Object createSubclass: "Bridge" ; IncorporatorPrototype createSubclass: "DataFeed" ;
The Entity class is a superclass of the classes whose instances represent real-world entities such as companies, products, and industries. Instances of the entity subclasses are named, often with several different aliases. Instances of the entity subclasses normally have one or more descriptive names in addition to a unique identifier. Instances of the entity subclasses are often referenced individually by name or as the value of a property of another entity instance. Almost all applications are designed to start with a specific entity or a set of entities.
Core entities in your application domain are normally defined as direct subclasses of Entity. In an investment management application, these entities could include: Company, Security, Account, and Broker. In a pharmaceutical application, these entities could include: Drug, Pharmacy, HealthPlan, and Doctor.
Entity classes represent objects that are named. Every entity subclass has a corresponding naming dictionary that allows you to reference specific instances by one or more identifiers. The properties name, shortName, sortCode, and numericCode are defined for the class. Initially these properties are all set to the value of code; you can modify any or all of these values as needed.
The class Classification has been defined as an abstract subclass of Entity to organize subclasses which are used for grouping and summarization purposes. This class is included with all Vision installations. Instances of Classification subclasses are normally referenced by other Entity instances. For example, the property region could be define for the class Company to return an instance of the Region class representing the region in which the company is based and the property industry could be defined to return an instance of the class Industry representing the company's major industry.
Instances of many classification subclasses are often managed as a hierarchy. For example, Industry 123 may refer to "Book Publishing", Industry 120 may refer to "General Publishing", and Industry 100 may refer to "General Media". The Classification class provides protocol to link these instances into a hierarchical structure.
Two additional abstract subclasses, Support and Table are recommended for organizing classes that require objects that are individually named that are not really core entities in the application. Note that these classes may need to be added to your database if you want to use them. There is no special protocol that needs to be defined for these classes. They simply provide a way of organizing the entity subclasses so that the expression:
Entity showInheritanceneatly separates the core entity classes from miscellaneous support classes. For example, you could create a subclass of Table when you need a place to store descriptions for coded information.
The class Currency is a subclass of Entity that is included as part of all Vision installations. This class is used to track exchange rate information between currencies. Instances of the class currency represent the currencies in which monetary transactions are performed such as "US Dollars" or "British Pounds".
The class Universe is a subclass of Entity that is included as part of all installations. Instances of this class are used to name and track lists of related entities over time. For example, a Universe instance named SP500 could be defined to track the list of Security instances comprising the Standard & Poors 500 each month.
The subclasses of DataRecord are used to manage sets of related information about a specific entity. These classes provide a way to organize data about an entity into manageable substructures.
For example, in an investment management application you need to track various pieces of pricing information for a security such as high, low, and closing price. You could define this protocol directly at the Security class including properties to hold the data values and methods for manipulating the values. Alternatively, you could define a subclass of DataRecord to manage this information and create a single property that can link a security instance to its pricing instances over time.
DataRecord instances are not usually accessed directly. An instance of a DataRecord subclass is normally accessed via a property defined at the entity instance with which it is associated. The createInstance: message for this class assumes you are supplying four values: the entity, a date, a value, and a base currency if applicable.
For example:
#-- Create price time series for Security class Entity createSubclass: "Security" Security define: 'price' ; #-- Create PriceRecord which tracks high, low, and close for a security DataRecord createSubclass: "PriceRecord" ; PriceRecord defineFixedProperty: 'high' ; PriceRecord defineFixedProperty: 'low' ; PriceRecord defineFixedProperty: 'close' ; #-- Update IBM's prices for several dates Security createInstance: "IBM" ; Named Security IBM do: [ !newPrice <- ^global PriceRecord createInstance: ^self, 9601 . do: [ :high <- 101.25 ; :low <- 100.75 ; :close <- 101.00 ] ; :prices asOf: 9601 put: newPrice; !newPrice <- ^global PriceRecord createInstance: ^self, 9602 . do: [ :high <- 102.25 ; :low <- 100.75 ; :close <- 101.75 ] ; :prices asOf: 9602 put: newPrice; ] ; #-- Display the data Named Security IBM :prices do: [ ^date print: 15 ; high print ; close print ; low printNL ] ;
The subclasses of LinkRecord are used to manage information that symmetrically relates two or more entities. For example, in an investment application a holding describes a relationship between a specific security and account on a specific date. Properties of the class Holding could therefore include account, security, date, sharesOwned, and cost. A consumer products application could define a subclass of LinkRecord to manage sales transactions. Properties of the class SalesTransaction could include product, customer, and store as well as unitsSold and dollarValue. The values of the first three of these properties could be instances of the Entity subclasses Product, Customer and Store.
Instances of LinkRecord subclasses are not normally referenced directly. Subsets of LinkRecord instances are often cross-referenced at the entity classes with which they are associated. For example, the time series property holdings could be defined at the Entity subclass Account could to return the list of Holding instances associated with the specific account instance over time. The property salesTransactions at the Entity subclass Customer could be defined to return a list of the SalesTransaction instances associated with the specific customer instance.
The subclasses of the Bridge class are used to manage the protocol for connecting an entity to one more DataRecord instances. It is useful when there are complex relationships that need to be managed and you do not want to overburden the entity class with all the required information.
An instance of a Bridge subclass is normally referenced via the entity instance with which it is associated.
The classes Data Feed and DataSet are subclasses of the abstract class IncorporatorPrototype with subclasses that represent data that is supplied via an external file or transfer. Each external feed maps to a specific subclass of DataFeed or DataSet. The instances of these subclasses correspond to the records or rows in the external feed. The properties of these subclasses correspond to the fields or columns in the external feed.
Instances of the DataFeed subclasses are normally used to create and update instances of Entity and DataRecord subclasses and are not normally accessed directly by applications once the data has been processed.
Unlike DataFeed classes which are not normally referenced even indirectly by other objects, subclasses of DataSet are used to store information which are an active part of the database. DataSet instances are normally access via an instance of the DBEntity subclass, described below. Once the data from an external feed has been incorporated into a DataSet's instances, there is no logical difference between a DataSet and a DataRecord.
Data from multiple sources is often managed within a single Vision database. This data is normally associated with instances of one or more entity subclasses. A specific source may not supply information for every instance in the related entity class. The source may also provide data for entities that do not have a corresponding entity instance. In this case, you may not want to lose the data; however, you do not necessarily want to manufacture new entity instances to house it.
The abstract class DBEntity has been defined to provide protocol for defining pseudo-entities that correspond to the set of instances tracked by a specific data source. Subclasses of this class are normally used to manage the links between core Entity instances and the actual data supplied by the data source. These subclasses are normally named LocalEntity and are defined in the object space associated with a particular data source. In the current Vision database bootstrap, this class is a direct subclass of Object. Based on its role, it should probably be viewed as a subclass of the Bridge class since it links a single Entity to one or more DataSet instances.
More information about the DBEntity model is available.
| Copyright © 1998 Innovative Systems Techniques, Inc. | Updated August 28, 1998 |


{%import '_formhelpers.html' as macros %} {% extends "index.html" %} {% block content %}
To add a steam-id for OpenID logins, get your id from the steam community (note: not your display name, your actual ID!), and fill out the form as if you were switching to the same password.
To change your password, fill out the fields like you would normally
{{ macros.render_form(form, action_url=url_for('profile'), action_text='Update', class_='register-form') }} {% endblock %}


Rosenhain and Göpel Tetrads in PG(3,2) by Steven H. Cullinane on March 17, 2013 Hudson's 1905 classic Kummer's Quartic Surface discusses the 80 Rosenhain odd tetrads and the 60 Göpel even tetrads. These 140 tetrads occur naturally in the Galois projective 3-space PG(3,2). The Rosenhain and Göpel tetrads occur naturally in the diamond theorem model of the 35 lines of PG(3,2): As in the proof of the diamond theorem, each 4x4 array above has a set of three line diagrams. Arrays containing the Rosenhain odd tetrads (turquoise or white) have either 3 or 1 unidirectional line diagrams (all-horizontal or all-vertical lines). Arrays containing the Göpel even tetrads (yellow or gold) have either 2 or 0 unidirectional line diagrams. The Göpel tetrads appear in my "Inscapes" notes and in "Picturing the Smallest Projective 3-Space" (April 1986). See Inscapes and Notes on Groups and Geometry, 1978-1986. More recently, they have appeared in "Birational Automorphisms of Quartic Hessian Surfaces," by Igor Dolgachev and JongHae Keum, in Transactions of the American Mathematical Society, Volume 354, Number 8, pages 3031-3057 (published online on April 3, 2002). Dolgachev and Keum represent the Göpel tetrads as occuring in a set of 16 points that they identify with the empty set plus the fifteen 2-element subsets of a 6-set (p. 3037). For an earlier version of this representation, see "The 2-subsets of a 6-set are the points of a PG(3,2)" (May 1986). That note also presents the Göpel tetrads as they relate to the Miracle Octad Generator of R. T. Curtis and to its underlying Moore correspondence. Update: August 3, 2014 — Update: August 6-7 and 15, 2014 — Symplectic Structure*
From
Gotay and Isenberg, “The Symplectization of
Science,” “…
what is the origin of the unusual name ‘symplectic’? …. The
above symplectic structure**
now appears in the figure Some related passages from the literature: *
The title phrase is a deliberate abuse of language.
For some background, see a definition of "symplectic structure" as the relevant symplectic form. See also the phrase in Wikipedia's "Symplectic vector space" article. ** See Steven H. Cullinane, Inscapes III, 1986
Related readings:
Updates: March 26, 2013, August 3, 2014, August 6-7, 2014, August 15, 2014 |


2 Corinthians 3:6
Who also hath made us able ministers of the new testament; not of the letter, but of the spirit: for the letter killeth, but the spirit giveth life.


-
Robinhood Raises $13M To Democratize Stock Market With Zero-Commission ...
techcrunch.com
Half a million people have already signed up for Robinhood's unlaunched zero-fee stock trading service. Now the startup has raised $13 million to ...
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Alibaba’s Maggie Wu and Lucy Peng: The dynamic duo behind the IPO
fortune.com
The giant Chinese e-retailer has a reputation for fostering talented women. Lucy Peng and Maggie Wu are stellar examples.
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Occupational Hazards of Working on Wall Street
www.bloombergview.com
Michael Lewis asks the big question about the army of Ivy League graduates, with seemingly endless career options, who wind up in finance: What ...
-
Silicon Valley’s would-be Martha Stewart
fortune.com
Brit Morin, founder of style site Brit + Co, is trying to become a household name for fashion and decor tips. Cue the ridicule.
-
Billionaire must let public access Martins Beach, judge rules
www.sfgate.com
âItâs a fabulous victory for the people of California because now their coast is safe,â said Joe Cotchett, lead attorney for the Surfrider ...
-
Demystifying Venture Capital Economics, Part 2 - Wealthfront ...
blog.wealthfront.com
Just because a company operates at a loss today doesn’t mean it can’t be profitable in the future. Those unfamiliar with venture capital economics ...
-
The Best Of Times … | TechCrunch
techcrunch.com
It was the best of times, it was the worst of times, it was the age of Minecraft, it was the age of Square, it was the epoch of burn, it was the ...
-
The Jack Ma Way - NYTimes.com
www.nytimes.com
At the resplendent China World Hotel in Beijing, scores of cameras snapped as colorful confetti floated down from the ceiling. It was Aug. 11, 2005, ...
-
Breaking News, Sports, Weather & More | Miami Herald & MiamiHerald.com
www.miamiherald.com
Miami Herald newspaper in Miami, FL is proud to offer you local news coverage online. Serving South Florida, MiamiHerald.com has local, breaking, ...
-
Breaking News, World News & Multimedia
www.nytimes.com
The New York Times: Find breaking news, multimedia, reviews & opinion on Washington, business, sports, movies, travel, books, jobs, education, real ...
-
The Secret Goldman Sachs Tapes
www.bloombergview.com
The public doesn't seem to understand just how dysfunctional our financial regulatory system is, Michael Lewis writes. That may change today with a ...
-
Why startups fail, according to their founders
fortune.com
The top reason? They make products no one wants.
-
Apple’s IPhone Software Snafu Has Links to Flawed Maps - Bloomberg
www.bloomberg.com
Apple’s IPhone Software Snafu Has Links to Flawed Maps
-
WhatsApp Used This Pricing Strategy to Win and You Can Too
firstround.com
Seven years ago, First Round Partner Josh Kopelman wrote a seminal blog post on the importance of free services in consumer-facing business models. ...
-
NexSteppe raises $22 million in series C financing | Biomassmagazine.com
biomassmagazine.com
NexSteppe recently announced it has raised $22 million in its third round of funding. New investors Total Energy Ventures and ELFH Holding GmbH join ...
-
Product Hunt
www.producthunt.com
Product Hunt is a curation of the best new products, every day. Discover the latest mobile apps, websites, and technology products that everyone's ...
-
Are Venture Capitalists Poised to 'Disrupt' Education? | Politics & ...
www.theinvestigativefund.org
Venture capitalists and for-profit firms are salivating over the exploding $788.7 billion market in K-12 education. What does this mean for public ...
-
Interested in angel investing? These meetings are for you
www.crainsdetroit.com
The Great Lakes Angels of Metro Detroit and the Blue Water Angels of Midland will hold a series of informational meetings about angel investing for ...
-
Social media manager Hootsuite raises $60 million at valuation near $1 ...
www.geekwire.com
The Hootsuite team. Hootsuite, the Vancouver, B.C.-based startup that helps organizations better manage social media efforts, has pulled in another ...
-
Hootsuite Media Closes $60 Million Round
blogs.wsj.com
Social media analytics platform Hootsuite Media closed a $60 million funding round and finalized its third acquisition this year as it inches toward ...
-
FiveStars, a Consumer Loyalty Start-Up, Raises $26 Million
dealbook.nytimes.com
FiveStars, a start-up that creates customer loyalty programs for small businesses, said on Thursday that it has raised $26 million as it seeks to ...
-
Why Venture Capital Wasn't Right For Me And 15 Alternative Funding Sources
www.fastcompany.com
If your VC funding efforts are meeting dead ends and slammed doors, it's time to take a new path. Here, a guide of 15 options.
-
Harvard Names Investment Chief as Yale Reports 20% Return
www.nytimes.com
Harvard reported a gain of 15.4 percent for the fiscal year, continuing to lag rivals like Yale.
-
Kris boards IAN, first Infosys founder to join angel investor network - ...
timesofindia.indiatimes.com
Kris Gopalakrishnan has become the first Infosys co-founder to join an angel syndicate breaking away from the organizational silo to ride the next ...
-
Kris boards IAN, first Infosys founder to join angel investor network - ...
timesofindia.indiatimes.com
Kris Gopalakrishnan has become the first Infosys co-founder to join an angel syndicate breaking away from the organizational silo to ride the next ...
-
Numerify Raises $15M in Venture Capital for Cloud-based Business Analytics ...
talkincloud.com
Numerify has raised $15 million in funding to continue building out its cloud-based business analytics product portfolio. The company plans to use ...
-
How a tiny startup became the leader in the race to power your smart home
www.theverge.com
Wink is just a few months old, but the small New York City startup is suddenly the most visible smart home brand in the American market, with the ...
-
Baristas Rejoice: DipJar Device Collects Tips From Cash-Short Customers
blogs.wsj.com
The founder got the idea when Starbucks emplopyees complained that their tips were suffering because everyone was paying with credit cards, not cash.
-
Exclusive: Samsung exits laptop market including Chromebooks
www.pcadvisor.co.uk
Following in Sony's footsteps, Samsung has stopped sales of its laptops in Europe.
-
Its Audacity Undiminished, Udacity Raises $35 Million To Train A New ...
techcrunch.com
Udacity raises $35 million to take its mission to transform education worldwide.


Smint.io Content Licensing Consumer Java Integration Core package - version 1
How to use this library to implement custom synchronization feature
Smint.io base library for synchronizing assets from our Enterprise Buying Platform to downstream targets, like Digital Asset Management (DAM) software.
This base library makes integration of the Smint.io platform and synchronization of assets from Smint.io to any target a breeze. A basic infrastructure to run one-way synchronization is provided by this library. Synchronization of meta-data and assets is targeted from Smint.io to any kind of downstream target system.
What to implement to make it fly with a synchronization target
To make it work with a sync target, you need to implement the interfaces
from the package io.smint.clapi.consumer.integration.core.target
.
Additionally, some database abstraction instances are needed, to store to and load
work data from the database. The most
important interfaces are:
How to provide your implementation to the sync library: Factory or dependency injection
In order to provide your implementation to the synchronization library framework, you need to provide a factory,
implementing the interface ISyncTargetFactory
. There is a default
implementation available as DefaultSyncTargetFactory
. This
class can be used even if you do not have any dependency injection available. Nevertheless using any DI framework
would be helpful. There is an example how to use
DefaultSyncTargetFactory
in the documentation for that class
and in the Get Started
document.
Initialize the synchronization process
Initialization is performed utilizing class SmintIoSynchronization
.
final ISmintIoSynchronization smintIoSync = new SmintIoSynchronization( new DefaultSyncTargetFactory() .setSettingsProvider(() -> settings) .setAuthTokenStorage(new MyAuthTokenStorage()) .setJobDataStorage(new MyJobStorageHandler()) .setDataFactory(new MySyncTargetDataFactory()) .setSyncTargetProvider(() -> new MySyncTarget()) ).start();


Each speedup use is time-stamped based on how long a player has played the game.
First column spike represents how many have completed the tutorial
Each column later respresent trend of using mockup in later time.
This graph demonstrates how well the first game tutorial has worked in term of teaching player to use Speedup.
Total Speedup per player used over time
Amount
Count of total amount of speedup used over time per player.
Higher number means higher usage of speedup function.
Spike means event/sale was happening at that day.
Churn reasons
This graph estimates reasons for quitting the game.
Alliance Suggestion Matrix
{{ z }}
{{ x.label }}
{{ y }}
Complex algorithm sorts players and alliances in categories based on level and sociability.
Grouping and caculations were done to produce this table.
Mockup data were used in this sample.
Alliance Suggestions
{{ z }}
{{ x.Name }}
{{ x.Level }}
{{ x.Social }}
List of alliances suggested for an example player of Low level and High Social demographic.


nips nips2012 nips2012-218 nips2012-218-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Mathieu Sinn, Bei Chen
Abstract: Conditional Markov Chains (also known as Linear-Chain Conditional Random Fields in the literature) are a versatile class of discriminative models for the distribution of a sequence of hidden states conditional on a sequence of observable variables. Large-sample properties of Conditional Markov Chains have been ﬁrst studied in [1]. The paper extends this work in two directions: ﬁrst, mixing properties of models with unbounded feature functions are being established; second, necessary conditions for model identiﬁability and the uniqueness of maximum likelihood estimates are being given. 1
[1] Sinn, M. & Poupart, P. (2011) Asymptotic theory for linear-chain conditional random ﬁelds. In Proc. of the 14th International Conference on Artiﬁcial Intelligence and Statistics (AISTATS).
[2] Lafferty, J., McCallum, A. & Pereira, F. (2001) Conditional random ﬁelds: Probabilistic models for segmenting and labeling sequence data. In Proc. of the 18th IEEE International Conference on Machine Learning (ICML).
[3] Sutton, C. & McCallum, A. (2006) An introduction to conditional random ﬁelds for relational learning. In: Getoor, L. & Taskar, B. (editors), Introduction to Statistical Relational Learning. Cambridge, MA: MIT Press.
[4] Hofmann, T., Sch¨ lkopf, B. & Smola, A.J. (2008) Kernel methods in machine learning. The Annals of o Statstics, Vol. 36, No. 3, 1171-1220.
[5] Xiang, R. & Neville, J. (2011) Relational learning with one network: an asymptotic analysis. In Proc. of the 14th International Conference on Artiﬁcial Intelligence and Statistics (AISTATS).
[6] Seneta, E. (2006) Non-Negative Matrices and Markov Chains. Revised Edition. New York, NY: Springer.
[7] Wainwright, M.J. & Jordan, M.I. (2008) Graphical models: exponential families, and variational inference. Foundations and Trends R in Machine Learning, Vol. 1, Nos. 1-2, 1-305.
[8] Cornfeld, I.P., Fomin, S.V. & Sinai, Y.G. (1982) Ergodic Theory. Berlin, Germany: Springer.
[9] Orey, S. (1991) Markov chains with stochastically stationary transition probabilities. The Annals of Probability, Vol. 19, No. 3, 907-928.
[10] Hern´ ndez-Lerma, O. & Lasserre, J.B. (2003) Markov Chains and Invariant Probabilities. Basel, Switzera land: Birkh¨ user. a
[11] Foguel, S.R. (1969) The Ergodic Theory of Markov Processes. Princeton, NJ: Van Nostrand.
[12] Samson, P.-M. (2000) Concentration of measure inequalities for Markov chains and Φ-mixing processes. The Annals of Probability, Vol. 28, No. 1, 416-461.
[13] Kontorovich, L. & Ramanan, K. (2008) Concentration inequalities for dependent random variables via the martingale method. The Annals of Probability, Vol. 36, No. 6, 2126-2158.
[14] Sha, F. & Pereira, F. (2003) Shallow parsing with conditional random ﬁelds. In Proc. of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL).
[15] Lehmann, E.L. (1999) Elements of Large-Sample Theory. New York, NY: Springer.
[16] Hoefel, G. & Elkan, C. (2008) Learning a two-stage SVM/CRF sequence classiﬁer. In Proc. of the 17th ACM International Conference on Information and Knowledge Management (CIKM).


{% extends 'base.html' %} {% block content %}
Educator News aims to be simple and easy to use. Every feature has a clear purpose, and this page will help you understand what the purpose of each new feature is.
One of the main goals of Educator News is to enocurage high-level conversation between participants. To maintain a high-level conversation, you need to know when someone has replied to one of your comments. It is particularly important to know if someone has asked you a follow-up question, or answered a question that you posed. The Conversations link allows you to see the replies that other people have made to each of your comments. You need to be logged in to see your conversations.
Please feel free to share your feedback.
top {% endblock %}


Productivity measurement portal based on the keyboard and mouse events.
Task management portal.
Services management using Consul.
      Tools: C#, Python, Flask, Consul
Juniper Networks | ASIC Engineer 2, July 2011 - Jan 2014
Part of ASIC development team, which delivered two generations of networking ASICs working on
28nm technology. These ASICs are currently being used in products such as QFabric and M & T-Series
routers.
Modelled a block called TOKEN which does the dynamic arbitration of packets across 1024x1024 Packet
Forwarding Engines(PFE) with four levels of priority queuing for each PFE, for design verification.
Part of Full-Chip verification team. Also contributed towards Gate-Level simulation and Functional
Coverage.
      Tools: System Verilog, Perl
Hindustan Aeronautics Limited | Intern, July 2008 - Sep 2008
Academics
Teaching Assistant | Computer Architecture, Jan 2015 - April 2015
Research Assistant | CVIT (IIIT-H) July 2014 - Present


link: https://struts.apache.org/docs/s2-015.html
Welcome - ./welcome.action
Menu - ./menu.action
Others - ./others.action
Param - ./param.action


PROJECT
This website is the first products of Synyi which is deployed and runs in sevarral hospitals, and focuses in searching and managing medical records, creating clinical research program.
TEAM
Yingyao ZHANG
Kelly, Yuan TIAN
ROLE
Lead Interaction Designer
Graphic Designer
This work is done for doctors to search and adopt satisfactory medical records and do clinical research on it. The product is deployed in ShangHai First Maternity and Infant Hospital firstly on Sept. 2017. I design the web from scratch and want to share some glittering with you.
· Background ·
In traditional hospital, doctors write paper-based medical records by hand, rewrite it into computer as electronic medical records(EMR). When doctors do medical research, it's tough to filter proper samples from all patients' records as they have to check all synonymous keywords manually. Every patient could have several records in defferent time. Different doctor could use various term to depict same symptom. So, doctors need to spend bunch of time to select, record and follow up specific patients.
Synyi is an artificial intelligence company wishing to accelerate processing of medical texts, so that the loop of "remedy from study - data from remedy - study from data" can be strengthen, the efficiency of medical work can be improved.
· Challenges ·
Our goal for this project is to:
1. Make doctors understand the design easy/fast.
2. Give doctors more controls/enough functions> with a clear and satisfying interfaces.
3. Optimize the strength of artificial intelligence -- NLP(Natural language processing).
· Insights in Searching and Adopting Medical Records ·
We do case study and competetion analysis in beginning, and invite our medical consultants to have focus group. Our goal is to understand their tasks and habits when manage medical records. Based on the pain points we find, we come up with the reasons of pain points.
For a strict medical research project, doctors need to consider the patients' gender, age, illness, past medical history, medications records, surgery records, illness/medication/surgery sequences......
There're bunches of information in one medical records, not to mention thousands of records. But only several related data is necessary for filtering and research.
Before launching the medical project, doctors will collect patients and records broadly and fuzzily. In formal research, doctor will filter out relatively unproper samples based on previous collection.
· Opportunities ·
So based on the insights, we brainstormed three design opportunities to respond them.
Besides the basic search — find all results with certain phases with NLP(natural language processing) tech, users need advanced search so that they can find medical records accurately or narrow down the results quickly and safely.
When designing the search results page, we need to arrange all information properly to help users find what they care quickly, and provide tools to manage the results.
To help users monitor the accreting medical records which meet the required conditions, we design the subcribe function which can refresh medical records according to the search conditions automaticlly.
· Advanced. Advanced search ·
Based on users' background, we design the relationship between conditions with virtue of “set”.
After talking with our medical consultants, I have an initial idea of advanced search. Then, I came to medical consultants with the sketches, and got valuable feedbacks. Actually we discuss these sketches for sevaral times, and iterate the design Based on more than 5 times. In brief, I revise it in following aspects, thus, the interface can be more simple, and encourage users to focus on the main functions.
"Medical records have tremendous amounts of attributes in a long time. One patient could have sevaral medical records of various disease in various time."
EXPLORATION 1
There're several kinds of box: including-input, including-choose, intaking-input, time-based, position-based.
It's complex if they need to choose box firstly, than input later. So I design the box as: use the including-input box as default box, than they input text in first slot, then, the whole box will change to the correspondent one.
EXPLORATION 2
To reduce the complexity of multiple logical relations, I adopt auto-full input box so that users can fill the first box easily.
I wrap all detailed settings and put the drop down/wrap button next to the name of the condition sets. I also make the delete button show when mouse over, invisible when mouse out.
FINAL ADVANCED SEARCH
There is two group at beginning: "Include", "Exclude", which is same form as the conditions in doctors' hand-writing reports.
For each group, they can choose different "Time-Factor" of the following conditions: "No Time Limits", "In One Time", "Certain Sequence".
Every sub-group means one incident. These incidents can be connected with "And"/"Or". As sub-group, there's default input boxs, the first box inputted will decide the final type of the input boxs. Also, all more manipulations are wrapped inside the button next to the name of sub-group.
· 2nd-Processing of Search Results ·
The search results showed in three levels: patient’s basic info (age, gender, main disease) and related medical records; related infomation in records; assistant hospital and time information. And all texts, buttons are deployed in specific position with designed grid. Thus, it can help users find accurate and matching info quickly.
On the right hand of the page, I put the data analysis diagrams, which indicate and divide the search results in sevaral aspects, so users can master the basic medical records distribution and filter it.
On the top of the page, it shows the search condition, subscribe/collect/enroll/export button, and related search words. Below is the final version after sevaral rectification.
· Subscribe. Search Automaticlly ·
During the design process, the impressivest thing is deciding refresh frequency. At beginning, I decide it as sevaral choosable fixed frequency, like per week, per month, every 3 months. It’s not a perfect way. Because most doctors’ll even check the expected results everyday in the preliminary satge so that to make sure having enough high-quality records for clinical research. But due to the system load, refresh frequency can’t be per day.
At this time, I discuss this tricky task with back-end programmers. And they tell me how data(medical records) flows from the terminals in hospital to the database to the data pool for searching.
Inspired by data flow, I set the refresh frequency as real-time, per week, per month.
Real-time means, when a new medical record comes from terminals in hospital(doctors or nurses input it) to database, the background program will judge if the record meet the subscribe conditions, if it’s true, this medical record will be added into corresponding subcribe fold. So, the users can get medical records as soon as possible and the load of background computers can be reduced compared with search the conditions many times per day.
 Better fault-tolerant ·
NLP is one of the key technology of Synyi and this product.
I use nlp in basic search — to understand the search terms, advanced search — to imply and auto-fill search conditions, search results — to show nout only the results containing search conditions, but also those are sysnonyms of search conditions.
· Reflection and Evaluation ·
It's a invaluable experience to cooprate with different roles: professional consultants, product manager, programmers, marketing, doctors, etc. Although working for only 3 month, I am "educated" to be a more delibrate designer.


{% extends "base.html" %} {% block head %} {{ super() }} {% endblock %} {% block content %}
Compare fonts against hosted fonts on fonts.google.com
Compare upstream github repository fonts folder against hosted fonts on fonts.google.com
Compare two sets of local fonts


Variable
| Static Public Summary | ||
| public |
Actions: * List of all actions to use in app |
|
| public |
Components: * List of all components used in app |
|
| public |
FrillCore: * FrillCore |
|
| public |
Models: * List of all models |
|
| public |
Stores: * List of all stores to use in app |
|
| public |
Strategies: * List of all strategies to use. |
|
| public |
api: * Mount routes |
|
| public |
apiV1: * Mount all api v1 routes |
|
| public |
apiV1Hello: * API testing |
|
| public |
Export AppComponent |
|
| public |
export AuthAction instance |
|
| public |
authHandlers: * Export all authentication handlers |
|
| public |
authRoutes: Array<function>: * All routes used in authentication |
|
| public |
Export AuthStore instance |
|
| public |
componentRoutes: React DOM: * Routes for components |
|
| public |
Exports ErrorComponent |
|
| public |
export ExampleAction instance |
|
| public |
Export ExampleStore instance |
|
| public |
Authentication strategy for Facebook |
|
| public |
Authentication strategy for GitHub |
|
| public |
Authentication strategy for Google |
|
| public |
helpers: * List of all helpers used in app |
|
| public |
jwtStrategy: * Authentication strategy for JsonWebTokens(JWT) |
|
| public |
Local authentication routes. |
|
| public |
Authentication strategy for local authentications |
|
| public |
Export LoginComponent |
|
| public |
Exports PageComponent |
|
| public |
posts: * Posts model |
|
| public |
posts: * REST API - posts |
|
| public |
routePrefixer(prefix: string, routes: Array | Object): Array: * Prefixes route.path |
|
| public |
Set and get router |
|
| public |
routes: * Mount all routes to use |
|
| public |
Export ScrollBlockComponent |
|
| public |
Export TomComponent |
|
| public |
Twitter authentication routes. |
|
| public |
Authentication strategy for Twitter |
|
| public |
users: * Users model |
Static Public
public Actions: * source
import Actions from 'frill/src/actions/index.js'
List of all actions to use in app
public Components: * source
import Components from 'frill/src/components/index.js'
List of all components used in app
public Models: * source
import Models from 'frill/src/models/index.js'
List of all models
See:
- SequelizeModels
public Stores: * source
import Stores from 'frill/src/stores/index.js'
List of all stores to use in app
public Strategies: * source
import Strategies from 'frill/src/api/auth/strategies/index.js'
List of all strategies to use.
public appComponent: AppComponent source
import appComponent from 'frill/src/components/App/index.jsx'
Export AppComponent
public authAction: AuthAction source
import authAction from 'frill/src/actions/Auth.js'
export AuthAction instance
public authHandlers: * source
import authHandlers from 'frill/src/api/auth/authHandlers.js'
Export all authentication handlers
public authRoutes: Array<function>: * source
import authRoutes from 'frill/src/api/auth/index.js'
All routes used in authentication
public authStore: AuthStore source
import authStore from 'frill/src/stores/Auth.js'
Export AuthStore instance
public componentRoutes: React DOM: * source
import componentRoutes from 'frill/src/routes.jsx'
Routes for components
Return:
| React DOM |
public errorComponent: ErrorComponent source
import errorComponent from 'frill/src/components/Error.jsx'
Exports ErrorComponent
public exampleAction: ExampleAction source
import exampleAction from 'frill/src/actions/Example.js'
export ExampleAction instance
public exampleStore: ExampleStore source
import exampleStore from 'frill/src/stores/Example.js'
Export ExampleStore instance
public facebookStrategy: * source
import facebookStrategy from 'frill/src/api/auth/strategies/facebook.js'
Authentication strategy for Facebook
public githubStrategy: * source
import githubStrategy from 'frill/src/api/auth/strategies/github.js'
Authentication strategy for GitHub
public googleStrategy: * source
import googleStrategy from 'frill/src/api/auth/strategies/google.js'
Authentication strategy for Google
public helpers: * source
import helpers from 'frill/src/helpers/index.js'
List of all helpers used in app
public jwtStrategy: * source
import jwtStrategy from 'frill/src/api/auth/strategies/jwt.js'
Authentication strategy for JsonWebTokens(JWT)
See:
public localAuthRoutes: * source
import localAuthRoutes from 'frill/src/api/auth/local.js'
Local authentication routes.
public localStrategy: * source
import localStrategy from 'frill/src/api/auth/strategies/local.js'
Authentication strategy for local authentications
public loginComponent: LoginComponent source
import loginComponent from 'frill/src/components/Login/index.jsx'
Export LoginComponent
public pageComponent: PageComponent source
import pageComponent from 'frill/src/components/Page.jsx'
Exports PageComponent
public routePrefixer(prefix: string, routes: Array | Object): Array: * source
import routePrefixer from 'frill/src/helpers/routePrefixer.js'
Prefixes route.path
Throw:
throw error when given routes is not set or empty |
|
throw error when route.path doesn't exist in Object |
|
throw error when routes[x].route.path doesn't exist in Array |
|
throw error when prefix is not a String |
Example:
routePrefixer('/api', [{path: '/a'}, {path: '/b'}]);
Test:
- Route prefixer
- Route prefixer should throw an error if route(s) don't have route.path
- Route prefixer should always return an array
- Route prefixer should be able to prefix routes as an Object
- Route prefixer should be able to prefix routes as an Array
- Router container should have a get() method
- Router container should have a set() method
- Router container should be able to set and get a router
- Route prefixer should throw an error if the given params are not correct
public routerContainer: * source
import routerContainer from 'frill/src/helpers/routerContainer.js'
Set and get router
Example:
routerContainer.set(ReactRouter);
routerContainer.get();
Test:
public scrollBlockComponent: ScrollBlockComponent source
import scrollBlockComponent from 'frill/src/components/ScrollBlock/index.jsx'
Export ScrollBlockComponent
public topComponent: TopComponent source
import topComponent from 'frill/src/components/Top/index.jsx'
Export TomComponent
public twitterAuthRoutes: * source
import twitterAuthRoutes from 'frill/src/api/auth/twitter.js'
Twitter authentication routes.
public twitterStrategy: * source
import twitterStrategy from 'frill/src/api/auth/strategies/twitter.js'
Authentication strategy for Twitter


GAME CATALOG
Click on the button below to login with your Google Account!
↓
Don't have one? Click
here
!


Datagrid
with Knockout & Twitter Bootstrap
Datagrid
You have asked for
gift(s)
First Name
Last Name
Language


MAKEPG.COM
Utility used to generate .EXE (or .COM) program file out of the binary file
(xxx.BIN) using English or French language.
This program may not be used in some versions of FBB software !!!
This program needs a .BIN-file (like WFBB.BIN) to convert to an .EXE or .COM
file. If a BIN-file does not exist, the program will only be in english
version (as a .COM or .EXE file).
The syntax is of the type:
MAKEPG program FR
To generate a program in French
MAKEPG program GB
To generate a program in English.
MAKEPG can transform the following programs :
SERV.BIN -> SERV.EXE
MAINTINF.BIN -> MAINTINF.COM
EPURMESS.BIN -> EPURMESS.COM
EPURWP.BIN -> EPURWP.COM
This page was last updated


About Me
Hi! I'm Joseph Feldmann, an Indie Unity Developer. I recently published my first Indie game PictoPull and am looking for new projects to work on. I have been making games for 5+ years now, mostly in Unity. I developed PictoPull part time for 1.5 years while I worked as a software developer and after its release I decided to take a break from software development and do indie dev full time.Below are some of the commercial and free projects I have created. I did all of the programming and game/app design for these projects.


ambient.fill_nc_db¶
-
ambient.
fill_nc_db
(nc, data, var_symbols, var_units, comments, z_col=0)[source]¶ Add data to a netCDF4-classic ambient profile dataset
This function adds data to a netCDF4-classic dataset for a single CTD profile. It is expected that this function could be called multiple times to completely fill in a profile database. As data are added, this method interpolates the new data to match the current z-coordinates if they are already present in the dataset.
- Parameters
- ncnetCDF4 dataset object
This is the existing netCDF dataset object that will receive the data stored in data.
- datandarray
Table of data to add to the netCDF database. If it contains more than one variable, the data are assumed to be arranged in columns.
- var_symbolsstring list
List of string symbol names (e.g., T, S, P, etc.) in the same order as the columns in the data array. For chemical properties, use the key name in the chemical_properties database.
- var_unitsstring list
List of units associated with each variable in the var_symbols list.
- commentsstring list
List of comments associated with each variable in the var_symbols list. As a minimum, this list should include the indications ‘measured’ or ‘derived’ or some similar indication of the source of the data.
- z_colinteger, default is 0
Column number of the column containing the depth data. The first column is numbered zero.
- Returns
- ncnetCDF4.Dataset object
Returns the updated netCDF4 dataset with the data and metadata included.
- Raises
- ValueError :
The input data array must always include a column of depths. If the input array contains a single column and the netCDF database already has a depth array, a ValueError is raised since it would appear the user is trying to replace the existing depth data in the netCDF database. If such an action is required, build a new netCDF database from scratch with the correct depth data.
- ValueError :
This function checks whether the units supplied by the user in the list var_units match those expected by the database. If not, a ValueError is raised with a message indicating which units are incompatible.
See also
Notes
Symbol names in the
TAMOC
modeling suite are z (depth, positive down from the sea surface), temperature, salinity, pressure, and chemical names from the chemical_properties database (see./data/ChemData.csv
). Other names will be treated exactly like the chemical names, but will likely either be unused by theTAMOC
modeling suite or generate errors when a different symbol is expected. Hence, it is the responsibility of the user to ensure that all symbol names are correct when this function is called.Examples
>>> ds = Dataset('./test/output/test_ds.nc', 'a') >>> z = ds.variables['z'] >>> zp = np.array([z.valid_min, z.valid_max]) # Depth range >>> yp = np.array([9.15, 5.20]) / 1000 # Synthetic data >>> data = np.vstack((zp, yp)).transpose() >>> ds = fill_nc_db(ds, data, ['z', 'oxygen'], ['m', 'kg/m^3'], ['synthetic', 'synthetic'], z_col=0) >>> print ds.variables.keys() ['time', 'lat', 'lon', 'z', 'temperature', 'salinity', 'pressure', 'S', 'T', 'oxygen'] >>> ds.variables['oxygen'][:].shape # Note interpolation (34,)


Cultural Blog 2- Sprint 2
What learnings did you take from the chapter?
XXXX enter more text here
How did you find the two minutes of mindfulness?
I already used to listen to a meditative app to help me to sleep. So i made sure to remember to do it as it had been awhile.
After a very tragic two years, I had already been working on literally "Smelling the Roses"...
Life is too short, you need to enjoy the small things, you never know when someone or something will be taken from you.


Interface¶
task_pool_abc module¶
Asynchronous Task Pool Base Class.
-
class
aio_parallel_tools.aio_task_pool.core.task_pool_abc.
AioTaskPoolABC
[源代码]¶ 基类：
abc.ABC
Asynchronous Task Pool Basic Class.
this pool is used when you need to limit the max number of parallel tasks at one time. It's a derivative of Producer Consumer model. The pool instance will manage a number of consumer as worker. You can scale the worker's number as you wish with the scale interface. And you, as the Producer, can send your task with the submit interface. If you want to close submit interface, you can use pause interface.
-
abstract async
close
(close_worker_timeout: Union[int, float, None] = None, close_pool_timeout: int = 3, safe=True) → None[源代码]¶ Close all workers and paused the task pool.
- 参数
close_worker_timeout (Union[int, float, None], optional) -- Timeout for closing all workers. Defaults to None.
close_pool_timeout (int, optional) -- Timeout for join left tasks. Defaults to 3.
safe (bool, optional) -- when getting exceptions, raise it or warning it. Defaults to True.
- 引发
te -- close workers timeout.
e -- unknown error when closing workers.
te -- waiting for left tasks done timeout
e -- unknown error when waiting for left tasks done
-
abstract property
closed
¶ Check if the pool is closed.
-
abstract property
max_tasks_number
¶ Maximum number of the waiting tasks.
- 返回
The maximum number of the waiting tasks.
- 返回类型
int
-
abstract property
paused
¶ Check if user can submit tasks.
If the task pool can accept new tasks,the result is False; else it's True.
- 返回
can submit or not.
- 返回类型
bool
-
abstract async
scale
(num: int) → int[源代码]¶ Scale the number of the task pool's worker.
- 参数
num (int) -- num to scale.positive will increase the worker,negative will decrease the worker.
- 返回
the number will scale to.
- 返回类型
int
-
abstract
scale_nowait
(num: int, soft=True) → int[源代码]¶ Scale the number of the task pool's worker without waiting.
- 参数
num (int) -- num to scale.positive will increase the worker,negative will decrease the worker.
soft (bool, optional) -- if True, this interface will send Signal to task pool to close workers; else number of random workers will be cancel. Defaults to True.
- 返回
the number will scale to.
- 返回类型
int
-
abstract property
size
¶ Pool's size.
- 返回
Pool's size
- 返回类型
int
-
abstract async
submit
(task_func: Callable[[Any], Any], *, args: List[Any] = [], kwargs: Dict[str, Any] = {}, blocking: bool = True) → Union[_asyncio.Future, Any][源代码]¶ Submit task to the task pool.
- 参数
task_func (Callable[[Any], Any]) -- The task function which will be called by the workers.
args (List[Any], optional) -- The positional parameters for the task function. Defaults to [].
kwargs (Dict[str, Any], optional) -- The keyword parameters for the task function. Defaults to {}.
blocking (bool, optional) -- set if waiting for the task's result. Defaults to True.
- 引发
NotAvailable -- The task pool is paused
- 返回
if blocking is True, submit will return the result of the task; else it will return a future which you can await it to get the result.
- 返回类型
Union[asyncio.Future, Any]
-
abstract
submit_nowait
(task_func: Callable[[Any], Any], *, args: List[Any] = [], kwargs: Dict[str, Any] = {}) → _asyncio.Future[源代码]¶ Submit task to the task pool with no wait.
- 参数
task_func (Callable[[Any], Any]) -- The task function which will be called by the workers.
args (List[Any], optional) -- The positional parameters for the task function. Defaults to [].
kwargs (Dict[str, Any], optional) -- The keyword parameters for the task function. Defaults to {}.
- 引发
NotAvailable -- The task pool is paused or
e -- other exception
NotAvailable -- task pool is full, can not put task any more
- 返回
a future which you can await it to get the result.
- 返回类型
asyncio.Future
-
abstract property
waiting_tasks_number
¶ Now number of the waiting tasks.
- 返回
The number of the waiting tasks.
- 返回类型
int
-
abstract async


Metropolis is a project by Robert Harris, Erik Swedberg, and Nathan Chan.
It was submitted as part of the datacanvas.org Sense Your City Data Art Visualisation Challenge. The code is available at github here.
It makes use of the following technologies
Metropolis is designed for ambient display, and is intended to draw viewers into the tranquil sense of changing data over time. Upon closer inspection, meaning becomes more clear, and unfolds into an opportunity to discover patterns and relationships inherent in the data.
The display is composed of grids, one per city, hours across the top, days down the side. Each grid cell shows the value of a single sensor, aggregated over one hour. The display endlessly cycles through time and sensors.
In the future we imagine alternate views of the data - to better correlate events, and the display of outliers - to highlight unusual conditions.


|
Imperx Tools SDK
<IP_ADDRESS>
|
Defines for TS ISO Color Slope parameters. More...
Macros | |
| #define | TS_ISO_COLORSLOPE_0 "ISOColorSlope_0" |
| #define | TS_ISO_COLORSLOPE_1 "ISOColorSlope_1" |
| #define | TS_ISO_COLORSLOPE_2 "ISOColorSlope_2" |
| #define | TS_ISO_COLORSLOPE_3 "ISOColorSlope_3" |
| #define | TS_ISO_COLORSLOPE_4 "ISOColorSlope_4" |
Defines for TS ISO Color Slope parameters.
| Macro | Parameter Name | Type | Description |
|---|---|---|---|
| TS_ISO_COLORSLOPE_0 | "ISOColorSlope_0" | [float: DBL_MIN-DBL_MAX] | Noise variation slope of color channel at typical sensor gains |
| TS_ISO_COLORSLOPE_1 | "ISOColorSlope_1" | [float: DBL_MIN-DBL_MAX] | Noise variation slope of color channel at typical sensor gains |
| TS_ISO_COLORSLOPE_2 | "ISOColorSlope_2" | [float: DBL_MIN-DBL_MAX] | Noise variation slope of color channel at typical sensor gains |
| TS_ISO_COLORSLOPE_3 | "ISOColorSlope_3" | [float: DBL_MIN-DBL_MAX] | Noise variation slope of color channel at typical sensor gains |
| TS_ISO_COLORSLOPE_4 | "ISOColorSlope_4" | [float: DBL_MIN-DBL_MAX] | Noise variation slope of color channel at typical sensor gains |
| #define TS_ISO_COLORSLOPE_0 "ISOColorSlope_0" |
Noise variation slope of color channel at typical sensor gains
Type/Range [float: DBL_MIN-DBL_MAX]
| #define TS_ISO_COLORSLOPE_1 "ISOColorSlope_1" |
Noise variation slope of color channel at typical sensor gains
Type/Range [float: DBL_MIN-DBL_MAX]
| #define TS_ISO_COLORSLOPE_2 "ISOColorSlope_2" |
Noise variation slope of color channel at typical sensor gains
Type/Range [float: DBL_MIN-DBL_MAX]
| #define TS_ISO_COLORSLOPE_3 "ISOColorSlope_3" |
Noise variation slope of color channel at typical sensor gains
Type/Range [float: DBL_MIN-DBL_MAX]
| #define TS_ISO_COLORSLOPE_4 "ISOColorSlope_4" |
Noise variation slope of color channel at typical sensor gains
Type/Range [float: DBL_MIN-DBL_MAX]


Sorting a list
Re-Order
Orig
Alpha
Word Length
2nd Letter
Last Letter
Flip
Be
The
Change
You
Wish
To
See
In
The
World


Cancel this referral
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{% extends 'templates/nhs_transaction_layout.html' %} {% block pageTitle %}Blank page{% endblock %} {% block content %}
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Cyd Harrell is UX Evangelist at Code for America, where she gets to spend all day helping create better experiences for citizens. She encourages like-minded UXers to apply for the 2014 CfA Fellowship. Before its acquisition in June 2012, she was VP of UX Research at Bolt Peters in San Francisco.
Michal joined Code For America in 2013. Previous to CfA, Michal spent nine years as a partner and technology director at celebrated San Francisco design studio Stamen. At Code For America, he is responsible for engineering standards and technical sustainability.
Dana Oshiro (Senior Marketing Manager) is a writer and marketing strategist with a love of tech and an interest in how new innovations affect our societies and lives. Prior to her position at CfA she worked in tech journalism, publishing, public affairs, environmental health and anti-poverty advocacy.
Michal joined Code For America in 2013. Previous to CfA, Michal spent nine years as a partner and technology director at celebrated San Francisco design studio Stamen. At Code For America, he is responsible for engineering standards and technical sustainability.
Dana Oshiro (Senior Marketing Manager) is a writer and marketing strategist with a love of tech and an interest in how new innovations affect our societies and lives. Prior to her position at CfA she worked in tech journalism, publishing, public affairs, environmental health and anti-poverty advocacy.
Cyd Harrell is UX Evangelist at Code for America, where she gets to spend all day helping create better experiences for citizens. She encourages like-minded UXers to apply for the 2014 CfA Fellowship. Before its acquisition in June 2012, she was VP of UX Research at Bolt Peters in San Francisco.


botson
Why
How
Usage
Contribute
Install
Thank you!
For all feature requests, please use
GitHub
or tweet at
@andyjiang
.


---
title: The Larremore Lab
layout: splash
permalink: /
header:
overlay_color: "#000"
overlay_filter: "0.2"
overlay_image: /assets/images/mountains.jpg
excerpt: "Department of Computer Science
& BioFrontiers Institute
University of Colorado Boulder."
analytics:
provider: "google-gtag"
google:
tracking_id: "UA-36889698-2"
anonymize_ip: false
---
Larremore Lab Collaboration Graph.
The Larremore Lab focuses on developing methods of networks, dynamical systems, and statistical inference, to solve problems in biological and social systems. We try to keep a tight loop between data and theory, and learn a lot from confronting models and algorithms with real problems.
In biological systems, we focus on the spread and evolution of infectious disease. Although shifting focus toward COVID-19 testing, seroepidemiology, and vaccination, the lab also focuses on the malaria parasite P. falciparum and its rapid recombination to evade the human immune system. Our goals are broadly to understand the interplay between pathogen evolution and human immunity, and its implications for virulence, population structure, and most critically, countermeasures.
In social systems, we focus on understanding the patterns and processes that define the ecosystem of scientific research and discovery. Our goal is to combine rigorous computation, ecological theory, and social science to understand how the scientific community can be made more equitable and more productive. Here, we continue to build on a decade-old collaboration with the Clauset Lab.
The Larremore Lab is led by Dan Larremore, an assistant professor at the University of Colorado Boulder in the Department of Computer Science and the BioFrontiers Institute, with an affiliation with the Department of Applied Mathematics, and with the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health. The lab is part of CU's Complex Systems Group and many students in the lab are also officers in the Boulder/Denver chapter of the Society of Young Network Scientists.


Badges
Small and adaptive tag for adding context to just about any content.
Basic examples
Badges scale to match the size of the immediate parent element by using relative font sizing and
em
units.
Example heading
New
Example heading
New
Example heading
New
Example heading
New
Example heading
New
Example heading
New
Contextual variations
Add any of the below mentioned modifier classes to change the appearance of a badge.
Primary
Secondary
Success
Danger
Warning
Info
Dark
Pill badges
Use the
.badge-pill
modifier class to make badges more rounded. Useful if you miss the badges from v3.
Primary
Secondary
Success
Danger
Warning
Info
Dark


| Package | Description |
|---|---|
| co.aurasphere.assignables | |
| co.aurasphere.assignables.policy |
| Modifier and Type | Method and Description |
|---|---|
void |
Assignables.withAssignmentPolicy(AssignmentPolicy assignmentPolicy)
Sets the policy to use for the assignment.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AssignIfNotAlreadyThereAssigmentPolicy
AssignmentPolicy that assigns a value to a variable if the variable
doesn't contain that value already. |
class |
CleanAssignmentPolicy
AssignmentPolicy that cleans the memory after setting a value into a
variable. |
class |
DoAfterDelayAssignmentPolicy
AssignmentPolicy that waits DoAfterDelayAssignmentPolicy.delayMillisec before doing the
assignment. |
class |
ExplosiveAssignmentPolicy
AssignmentPolicy that always throws an AssignmentException
after doing an assignment. |
class |
JavaLegacyAssignmentPolicy
Plain old (unsafe) and boring Java
AssignmentPolicy . |
class |
LoggingAssignmentPolicy
AssignmentPolicy that logs the assignment. |
class |
MD5AssignmentPolicy
AssignmentPolicy that populates the variable with the MD5 Hash of the
variable. |
class |
NopeAssignmentPolicy
AssignmentPolicy that does nothing really. |
class |
OptionalAssignmentPolicy
AssignmentPolicy which assigns a value into a variable only
if the value is not null. |
class |
PerformanceMonitorAssignmentPolicy
AssignmentPolicy for monitoring assignment performances. |
class |
SafeAssignmentPolicy
AssignmentPolicy that does an assignment safely. |
class |
StochasticAssignmentPolicy
AssignmentPolicy with stochastic behavior. |
class |
UnsupportedAssignmentPolicy
AssignmentPolicy for an unsupported assignment. |
Copyright © 2019. All rights reserved.


{{ define "main" }} {{ partial "home/hero.html" . }} {{ partial "home/trio.html" . }} {{ partial "home/members.html" . }} {{ partial "home/newsfeed.html" . }} {{ end }}


- passwordCheck(String) - Static method in class util.StringUtil
-
This method checks to see if the given password matches the password
pattern.
- Patient - Class in clinic
-
Represents a patient
- Patient() - Constructor for class clinic.Patient
-
Default constructor
- Patient(int, String, String, Date, String, String, String, String, String, String, Date) - Constructor for class clinic.Patient
-
Parameterized constructor
- PatientHistoryIO - Class in data
-
Accesses the database during the patient information retrieval process
- PatientHistoryIO() - Constructor for class data.PatientHistoryIO
-
- PatientHistoryServlet - Class in controller
-
Coordinates the retrieval of patient information
- PatientHistoryServlet() - Constructor for class controller.PatientHistoryServlet
-
- PatientIO - Class in data
-
Accesses the database during the patient add and update processes
- PatientIO() - Constructor for class data.PatientIO
-
- PatientServlet - Class in controller
-
Coordinates the add, update, and retrieval activities for patient information
- PatientServlet() - Constructor for class controller.PatientServlet
-
- PatientTreatmentIO - Class in data
-
Accesses the database to update and retrieve treatment information
- PatientTreatmentIO() - Constructor for class data.PatientTreatmentIO
-
- PatientTreatmentServlet - Class in controller
-
Coordinates the treatment entry activity
- PatientTreatmentServlet() - Constructor for class controller.PatientTreatmentServlet
-
- PDFServlet - Class in controller
-
Shows a PDF document containing progress note information
- PDFServlet() - Constructor for class controller.PDFServlet
-
- PopulationStatisticsIO - Class in data
-
Connects to the database to retrieve patient population statistics
- PopulationStatisticsIO() - Constructor for class data.PopulationStatisticsIO
-
- PopulationStatisticsServlet - Class in controller
-
Coordinates the statistics data retrieval process
- PopulationStatisticsServlet() - Constructor for class controller.PopulationStatisticsServlet
-
- processRequest(HttpServletRequest, HttpServletResponse) - Method in class controller.PDFServlet
-
Processes requests for both HTTP GET
and POST
methods.
- ProgressNote - Class in clinic
-
Holds all the details for a patient's progress note
- ProgressNote() - Constructor for class clinic.ProgressNote
-
Default constructor
- ProgressNote(Patient, Date, boolean, String, boolean, String, BigDecimal, Integer, Integer, BigDecimal, Integer, Integer, BigDecimal, boolean, String, String, String, String, String, String, ArrayList<NoteAuthor>, String, BigDecimal, BigDecimal, BigDecimal, Integer, Integer, BigDecimal) - Constructor for class clinic.ProgressNote
-
Parameterized constructor
- ProgressNoteIO - Class in data
-
Accesses the database during the progress note functions
- ProgressNoteIO() - Constructor for class data.ProgressNoteIO
-
- ProgressNoteServlet - Class in controller
-
Coordinates the progress note functions
- ProgressNoteServlet() - Constructor for class controller.ProgressNoteServlet
-
- PsychologicalScreeningReference - Class in clinic
-
Describes a psychological screening value and reference information
- PsychologicalScreeningReference() - Constructor for class clinic.PsychologicalScreeningReference
-
Default constructor
- PsychologicalScreeningReference(int, String, String) - Constructor for class clinic.PsychologicalScreeningReference
-
Parameterized constructor
- PsychologicalScreeningResult - Class in clinic
-
Represents the result of a psychological screening
- PsychologicalScreeningResult() - Constructor for class clinic.PsychologicalScreeningResult
-
Default constructor
- PsychologicalScreeningResult(Date, int, String, String) - Constructor for class clinic.PsychologicalScreeningResult
-
Parameterized constructor


My name is Louis Oller and I am the founder of Ollerware.
I am an 18 year old Indie Game developer. Having started out programming functions for Haverhill Robotics I quickly branched out into game development with python3. As a junior I took AP Computer Science which set me up with the skillset to intern at an educational gaming company known as Muzzy Lane. That summer I interned at Omtool, a software company that designed document handling software.
As a senior I wanted to find a way to present to potential employers what projects I worked on, while displaying my senior programming capstone. That is how Ollerware was born.
I needed a way to prove that I'm not some random High Schooler.


Are you looking for steady, organic growth for your business? Looking to gain more customers and connect with more people?
My name is Jordan Stephenson and it’s my mission to help as many excited entrepreneurs as I can with the right marketing formula. I’m going to show you how to make more money, save time, and help more people too. Sound good? Great! Let’s get started.
My name is Jordan Stephenson and it’s my mission to help as many excited entrepreneurs as I can with the right marketing formula. I’m going to show you how to make more money, save time, and help more people too. Sound good? Great! Let’s get started.
Owning a business is a lot like maintaining your fitness, with the right nutrition i.e. Input, and the right workout plan i.e. strategy, you can achieve amazing results. Whether you want to run faster, jump higher, or create amazing, bulging muscle growth; there is a formula for it.
Now let’s imagine your goal is to lose weight, you work out 3 times a week doing intense cardio, but all you do is eat fast food. What will happen? You’ll go nowhere of course! Or if you do progress, it will be super slow.
Business is the same and it starts with your online presence. I help fitness businesses thrive by creating awesome engaging websites that turn visitors, into customers. Combining this with the right S.E.O strategy and industry knowledge, I can create steady, organic growth for any fitness business.
Now let’s imagine your goal is to lose weight, you work out 3 times a week doing intense cardio, but all you do is eat fast food. What will happen? You’ll go nowhere of course! Or if you do progress, it will be super slow.
Business is the same and it starts with your online presence. I help fitness businesses thrive by creating awesome engaging websites that turn visitors, into customers. Combining this with the right S.E.O strategy and industry knowledge, I can create steady, organic growth for any fitness business.
Request a Quote
Join my Exclusive Facebook Group for Personal Trainers - Click here to apply


My background is in automation and embedded systems. I have experience with modular system testing and controller design. I am searching for a position which allows me to work with both hardware and software to propose creative solutions to challenging problems.
Worked with the Long Marine Lab in Santa Cruz, CA to create an Autonomous device that descends to the ocean floor to collect valuable sediment samples and ambient data.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Fugit aliquam aperiam nulla perferendis dolor nobis numquam, rem expedita, aliquid optio, alias illum eaque. Non magni, voluptates quae, necessitatibus unde temporibus.
A smart watch mobile companion app which discreetly alerts the users emergency contacts when in a dangerous situation. The app will allow the user to send their current location as well as contact emergency services at the push of a button.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Fugit aliquam aperiam nulla perferendis dolor nobis numquam, rem expedita, aliquid optio, alias illum eaque. Non magni, voluptates quae, necessitatibus unde temporibus.
Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring.
Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Podcasting operational change management inside of workflows to establish a framework. Taking seamless key performance indicators offline to maximise the long tail. Keeping your eye on the ball while performing a deep dive on the start-up mentality to derive convergence on cross-platform integration.
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.


Honzi/Guides/Diablo 2: Lord of Destruction/Easy Challenge
- Downloads:
- Play a class that gets a bonus to various stats:
- Attack Speed +107%
- Block Rate +107%
- Cast Rate +107%
- Chance to Find Magic Items +155%
- Fires Magic Arrows/Bolts
- Gold +411%
- Gold: 2,500,000
- Hit Recovery +107%
- Ignore Target Defense
- Light Radius +11
- Mana +223
- Mana +7/level
- Mana Regeneration +255%
- Max Resists +31%
- Mercenary: Act 2, Prayer, level 1
- Replenish Life +1
- Scroll of Identify: 515
- Scroll of Town Portal: 511
- Stamina Regeneration +255%
- Rules:


| Name | Value List |
|---|---|
You must split the Array values with a comma "," |
|
| Name | Value List |
|---|---|
You must split the Array values with a comma "," |
|
| Name | Value List |
|---|---|
You must split the Array values with a comma "," |
|
| Name | Value List |
|---|---|
You must split the Array values with a comma "," |
|


In this experiment, you will make judgments about towers of building blocks. There will be 62 trials total.
As below, the camera rotates around a frozen snapshot of the tower.
Afterwards, the tower is unfrozen, allowing physics to affect it.
This causes some towers to fall down:
Other towers do not fall when they are unfrozen:
We'll start out with a few practice trials in which you will:
When you click "Start", the practice trials will begin.
Good! Now, the blocks have different weights depending on color.
You should keep the weights of the blocks in mind when determining if they will fall.
blocks are
blocks are
Great! Now, the next set of trials will be just like the ones you just did, except that we will no longer show you or tell you what happens when the tower is unfrozen.
Nice job! Now, the colors of the blocks will be be different on every trial.
But, we won't tell you which is the heavier color. Instead, you'll get to see whether the towers fall or not, and you should try to figure out which blocks are heavier.
After each trial, we will ask you which color you think is the "heavy color".
Great, you're almost done! There are just a few more trials like the ones you did at the beginning.
Tower does not fall
Tower falls
To see what happens when physics is turned on, press 'c'.
When you are ready, press 'c'.
You may only watch the video once.


H2 Configuration
OpenMeetings default configuration is to use H2.
It is recommended for production environments and high availibility to change to an usual relational database like Oracle, MySQL, Postgres, MSSQL or DB2.
For more information about H2 see https://www.h2database.com
There is a sample configuration for H2 that ships with every release in:
/webapps/openmeetings/WEB-INF/classes/META-INF/h2_persistence.xml
If you encounter issues, you can drop the db and then run the web based installer again


VEX Team Stats Searcher
Skyrise
Toss Up
Sack Attack
Gateway
Round Up
Clean Sweep
Elevation
Bridge Battle
Nothing But Net
Starstruck
In The Zone
Turning Point
Tower Takeover


{% extends "layout.html" %} {% block main %}
It is likely that there are too many sessions going on at once, try again later.


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hp-probe(1) User Manuals hp-probe(1) NAME hp-probe - Printer Discovery Utility DESCRIPTION Discover HPLIP supported USB, parallel, and network attached printers. SYNOPSIS hp-probe [OPTIONS] OPTIONS Bus to probe: -b<bus> or --bus=<bus> <bus>: cups, usb*, net, bt, fw, par (*default) (Note: bt and fw not supported in this release.) Set Time to Live (TTL): -t<ttl> or --ttl=<ttl> (Default is 4). Set timeout: -o<timeout in secs.> or --timeout=<timeout is secs.> Filter by functionality: -e<filter list> or --filter=<filter list> <filter list>: comma separated list of one or more of: scan, pcard, fax, copy, or none*. (*none is the default) Search: -s<search re> or --search=<search re> <search re> must be a valid regular expression (not case sensitive) Network discovery method: -m<method> or --method=<method>: <method> is 'slp'* or 'mdns'. Set the logging level: -l<level> or --logging=<level> <level>: none, info*, error, warn, debug (*default) Run in debug mode: -g (same as option: -ldebug) This help information: -h or --help EXAMPLES Find all devices on the network: hp-probe -bnet Find all devices on USB that support scanning: hp-probe -busb -escan Find all networked devices that contain the name 'lnx' and that support photo cards or scanning: hp-probe -bnet -slnx -escan,pcard Find all devices that have queues installed in CUPS: hp-probe -bcups Find all devices on the USB bus: hp-probe AUTHOR HPLIP (Hewlett-Packard Linux Imaging and Printing) is an HP developed solution for printing, scanning, and faxing with HP inkjet and laser based printers in Linux. REPORTING BUGS The HPLIP Launchpad.net site https://launchpad.net/hplip is available to get help, report bugs, make suggestions, discuss the HPLIP project or otherwise contact the HPLIP Team. COPYRIGHT Copyright (c) 2001-14 Hewlett-Packard Development Company, L.P. This software comes with ABSOLUTELY NO WARRANTY. This is free software, and you are welcome to distribute it under certain conditions. See COPY‐ ING file for more details. Linux 4.1 hp-probe(1)


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Imagine Dragons get Donald Trump’s former assistant banned from YouTube
Sebastian Gorka is a big 'Radioactive' fan, it seems
US President Donald Trump‘s former Deputy Assistant has been banned from YouTube – all thanks to Imagine Dragons.
Sebastian Gorka, a conservative commentator who briefly worked for the POTUS back in 2017, uploaded his America First radio shows to the video streaming platform shortly after their initial broadcast.
Over the summer, Imagine Dragons’ frontman Dan Reynolds was made aware that Gorka featured the band’s 2012 hit, ‘Radioactive’, on a regular basis. The musician responded by claiming that he’d “never given permission” for use of the track in the show.
“Please stop playing Imagine Dragons on your show @SebGorka,” he tweeted. See that post below.
Reynolds reiterated his point on a number of occasions over the past month or so, writing on October 25 that Universal Music Publishing Group were attempting to block any videos containing the single. “Losing my mind on this. Thanks for keeping on my radar,” he tweeted as part of last month’s update.
Now, Daily Beast reports that Reynolds and his publisher’s efforts have paid off – as Gorka’s YouTube channel appears to have been deleted. A spokesperson for the streaming site told the outlet that the account “was terminated due to multiple copyright strikes”.
Though the spokesperson declined to reveal which specific song had prompted the block, Universal Music Publishing Group had filed complaints against the site.
Gorka has previously accused YouTube’s owner Google of being biased against right-wing politics.
Dan Reynolds, meanwhile, has teamed up with Yungblud on his ‘The Underrated Youth’ track, ‘Original Me’. The pair performed the collaborative single live together for the first time last month.


Entity Powernode
Powernode is the Entity definition for a power node.
This item comes from the Canyon City mission, where power nodes need to be disabled at the same time.
Subclass of Usable.
Functions
| GetHealRate () | GetHealRate returns the heal rate of the power node. |
| GetDifficulty () | GetDifficulty returns the difficulty of disabling the power node with the Science skill. |
| GetArmorClass () | GetArmorClass returns the armor class of the power node. |
| GetMaxHP () | GetMaxHP returns the maximum HP of the power node. |
| GetCurrentHP () | GetCurrentHP returns the current HP of the power node. |
| GetLastHealTime () | GetLastHealTime returns the time on the millisecond timer that the node last healed. |
| GetCurrentAction () | GetCurrentAction returns the current animation action of the power node. |
Functions
- GetHealRate ()
-
GetHealRate returns the heal rate of the power node.
Returns:
-
A numeric value indicating heal rate.
- GetDifficulty ()
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GetDifficulty returns the difficulty of disabling the power node with the Science skill.
Returns:
-
An integer indicating Science difficulty.
- GetArmorClass ()
-
GetArmorClass returns the armor class of the power node.
Returns:
-
An integer indicating the node's armor class.
- GetMaxHP ()
-
GetMaxHP returns the maximum HP of the power node.
Returns:
-
An integer indicating the node's maximum HP.
- GetCurrentHP ()
-
GetCurrentHP returns the current HP of the power node.
Returns:
-
An integer indicating the node's current HP.
- GetLastHealTime ()
-
GetLastHealTime returns the time on the millisecond timer that the node last healed.
Returns:
-
A large integer indicating the node's last heal time.
- GetCurrentAction ()
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GetCurrentAction returns the current animation action of the power node.
Returns:
-
A string indicating the node's current animation.