...
Calibration Configuration
For Setup
Versions
Local Configuration
Local Steps in which CPU share is increased (e.g. 0.1)
Number of local calibrations
Docker Source Folder(Dockerfile location)
AWS Configuration
Bucket name to store calibration to
Number of aws executions
Region
Runtime
AWS ARN Lambda Role
Handler Class Name
Timeout in Seconds
Memory Sizes (comma separated List)
Path to ZIP Source (locally on your computer)
Target URL (filled by the tool)
API Key (filled by the tool)
AWS specific Benchmark Settings - Deployment Internals
REST API ID (filled by the tool)
API Key ID (filled by the tool)
Usage Plan ID (filled by the tool)
Mapping Calibration Configuration
-- Select an option --
-- Select an option --
Memory Sizes on Provider Platform (comma separated)
GFLOPS to compute the resource setting on provider (comma separated)
OpenFaaS Configuration
Base URL, e.g. http://localhost:8080/functions/
Function name
Number of OpenFaaS calibrations
Increments (steps in which CPU is incremented)
Username - Docker Hub
Username - Basic Auth
Password - Basic Auth
Generate and Download stack.yml
File Transfer Base URL
Machine Configuration
Machine Name
CPU Model Name
Number of Cores
Model Number
Operating System and Version
Local Calibration Configuration
Remove Dataset
Provider Calibration Configuration
Remove Dataset
Run function locally with computed CPU share
Folder, where the function and Dockerfile is located
Environment variable file
Number of Profiles
Previous Profiles
--- Select an Option ---
Profile Function(s)
--- Select an Option ---
AVG
a
--- Select an Option ---
Profiles for Selected Calibration
Update configuration
Pipeline Commands
Start Local Calibration
Pipeline Commands
Start OpenFaaS Calibration
Deploy AWS Calibration
Start AWS Calibration
Undeploy AWS Calibration
Mapping (INFO only)
Run function locally
...


Recipe 8.1. Disabling Execution of Some Conditionals and Loops
Credit: Chris McDonough, Srinivas B, Dinu Gherman
Problem
While developing or
debugging, you want certain conditional or looping sections of code
to be temporarily omitted from execution.
Solution
The simplest approach is to edit your code, inserting 0:
# right after the if or
while keyword. Since 0 evaluates as false, that
section of code will not execute. For example:
if i < 1:
doSomething( )
while j < k:
j = fleep(j, k)
into:
if 0: # i < 1:
doSomething( )
while 0: # j < k:
j = fleep(j, k)
If you have many such sections that must simultaneously switch on and
off during your development and debug sessions, an alternative is to
define a boolean variable (commonly known as a
flag), say doit = False,
and code:
if doit and i < 1:
doSomething( )
while doit and j < k:
j = fleep(j, k)
This way, you can temporarily switch the various sections on again by
just changing the flag setting to doit = True, and
easily flip back and forth. You can even have multiple such flags. Do
remember to remove the doit and parts once
you're done developing and debugging, since at that
point all they would do is slow things down.
Discussion
Of course, you have other alternatives, too. Most good editors have
commands to insert or remove comment markers from the start of each
line in a marked section, like Alt-3 and
Alt-4 in the editor of the IDLE
IDE (Integrated Development Environment) that comes with Python; a
common convention in such editors is to start such temporarily
commented-out lines with two comment markers,
##, to distinguish them from
"normal" comments.
One Python-specific technique you can use is the _ _debug_
_ read-only global boolean variable. _ _debug_
_ is true when Python is running without
the -O (optimize) command-line option,
False when Python is running with that option.
Moreover, the Python compiler knows about _ _debug_
_ and can completely remove any block guarded by
if _ _debug_ _ when Python is running with the
command-line optimization option, thus saving memory as well as
execution time.
See Also
The section on the _ _debug_ _ flag and the
assert statement in the Language
Reference and Python in a
Nutshell.
|


Boston Citizen Science Heat Maps
As heat becomes an increasing climate risk for the Greater Boston region, community members were interested to know where people would feel it the most. Officials from the NOAA, Museum of Science, Cambridge, Brookline, and I launched a summer project to map ground level tempuratures during a heat wave (different than lidar). The core mission was to use citizen science with temperature sensors. We recruited over 50 volunteers who helped us collect interval surface tempurature data in late July 2019. The volunteers walked, biked, and drove a preplanned route three times per day while also collecting qualitative data. The collected data was translated into a map by CAPA Strategies, Portland State University, and the Science Museum of Virgina. The results were then shared at a public event in September 2019.


CrimPapers
Articles published on 13 February 2020
On 13 February 2020, 8 new articles were published in 8 journals.
Generation and Deployment of Common Law Police Powers By Canadian Courts and the Double-Edged Charter
‘it’s Not Ok to Shoot and Kill Americans’: Families’ Perceptions of Police Use of Lethal Force in the United States by David Baker, Marta Fidalgo
Performance and Satisfaction of Resident and Distance Students in Videoconference Courses by Jeffrey J. Roth, Mari Pierce, Steven Brewer
Age-Graded Differences and Parental Influences on Adolescents’ Obligation to Obey the Law
Hot Spots Policing in A High-Crime Environment: An Experimental Evaluation in Medellín
Like A Cat on Hot Bricks: the Detection of Anomalous Behavior in Airports
Explaining Citizen Support For Women Police in India by Mahesh K. Nalla, David Nam
What Is Communication Assistance? Describing A New and Emerging Profession in the New Zealand Youth Justice System by Kelly Howard, Clare McCann, Margaret Dudley


{% extends 'base.html' %} {% block title %}No New Entries{% endblock %} {% block content %}
There are no new entries in your personalized nexfeed list. You can add new feeds (or get rid of old ones) in your dashboard.


| Top |
| gchar * | background | Write |
| GdkColor * | background-gdk | Read / Write |
| GdkRGBA * | background-rgba | Read / Write |
| gboolean | background-set | Read / Write |
| GtkCellArea * | cell-area | Read / Write / Construct Only |
| GtkCellAreaContext * | cell-area-context | Read / Write / Construct Only |
| gboolean | draw-sensitive | Read / Write |
| gboolean | fit-model | Read / Write |
| GtkTreeModel * | model | Read / Write |
GtkCellView implements AtkImplementorIface, GtkBuildable, GtkCellLayout and GtkOrientable.
A GtkCellView displays a single row of a GtkTreeModel using a GtkCellArea and GtkCellAreaContext. A GtkCellAreaContext can be provided to the GtkCellView at construction time in order to keep the cellview in context of a group of cell views, this ensures that the renderers displayed will be properly aligned with eachother (like the aligned cells in the menus of GtkComboBox).
GtkCellView is GtkOrientable in order to decide in which orientation the underlying GtkCellAreaContext should be allocated. Taking the GtkComboBox menu as an example, cellviews should be oriented horizontally if the menus are listed top-to-bottom and thus all share the same width but may have separate individual heights (left-to-right menus should be allocated vertically since they all share the same height but may have variable widths).
GtkWidget *
gtk_cell_view_new (void
);
Creates a new GtkCellView widget.
Since: 2.6
GtkWidget * gtk_cell_view_new_with_context (GtkCellArea *area
,GtkCellAreaContext *context
);
Creates a new GtkCellView widget with a specific GtkCellArea to layout cells and a specific GtkCellAreaContext.
Specifying the same context for a handfull of cells lets the underlying area synchronize the geometry for those cells, in this way alignments with cellviews for other rows are possible.
area |
the GtkCellArea to layout cells |
|
context |
the GtkCellAreaContext in which to calculate cell geometry |
Since: 2.6
GtkWidget *
gtk_cell_view_new_with_text (const gchar *text
);
Creates a new GtkCellView widget, adds a GtkCellRendererText
to it, and makes it show text
.
Since: 2.6
GtkWidget *
gtk_cell_view_new_with_markup (const gchar *markup
);
Creates a new GtkCellView widget, adds a GtkCellRendererText
to it, and makes it show markup
. The text can be
marked up with the Pango text markup language.
Since: 2.6
GtkWidget *
gtk_cell_view_new_with_pixbuf (GdkPixbuf *pixbuf
);
Creates a new GtkCellView widget, adds a GtkCellRendererPixbuf
to it, and makes it show pixbuf
.
Since: 2.6
void gtk_cell_view_set_model (GtkCellView *cell_view
,GtkTreeModel *model
);
Sets the model for cell_view
. If cell_view
already has a model
set, it will remove it before setting the new model. If model
is
NULL
, then it will unset the old model.
Since: 2.6
GtkTreeModel *
gtk_cell_view_get_model (GtkCellView *cell_view
);
Returns the model for cell_view
. If no model is used NULL
is
returned.
Since: 2.16
void gtk_cell_view_set_displayed_row (GtkCellView *cell_view
,GtkTreePath *path
);
Sets the row of the model that is currently displayed by the GtkCellView. If the path is unset, then the contents of the cellview “stick” at their last value; this is not normally a desired result, but may be a needed intermediate state if say, the model for the GtkCellView becomes temporarily empty.
Since: 2.6
GtkTreePath *
gtk_cell_view_get_displayed_row (GtkCellView *cell_view
);
Returns a GtkTreePath referring to the currently
displayed row. If no row is currently displayed,
NULL
is returned.
Since: 2.6
gboolean gtk_cell_view_get_size_of_row (GtkCellView *cell_view
,GtkTreePath *path
,GtkRequisition *requisition
);
gtk_cell_view_get_size_of_row
has been deprecated since version 3.0 and should not be used in newly-written code.
Combo box formerly used this to calculate the
sizes for cellviews, now you can achieve this by either using
the “fit-model” property or by setting the currently
displayed row of the GtkCellView and using gtk_widget_get_preferred_size()
.
Sets requisition
to the size needed by cell_view
to display
the model row pointed to by path
.
Since: 2.6
void gtk_cell_view_set_background_color (GtkCellView *cell_view
,const GdkColor *color
);
gtk_cell_view_set_background_color
has been deprecated since version 3.4 and should not be used in newly-written code.
Use gtk_cell_view_set_background_rgba()
instead.
Sets the background color of view
.
Since: 2.6
void gtk_cell_view_set_background_rgba (GtkCellView *cell_view
,const GdkRGBA *rgba
);
Sets the background color of cell_view
.
Since: 3.0
void gtk_cell_view_set_draw_sensitive (GtkCellView *cell_view
,gboolean draw_sensitive
);
Sets whether cell_view
should draw all of its
cells in a sensitive state, this is used by GtkComboBox menus
to ensure that rows with insensitive cells that contain
children appear sensitive in the parent menu item.
Since: 3.0
gboolean
gtk_cell_view_get_draw_sensitive (GtkCellView *cell_view
);
Gets whether cell_view
is configured to draw all of its
cells in a sensitive state.
Since: 3.0
void gtk_cell_view_set_fit_model (GtkCellView *cell_view
,gboolean fit_model
);
Sets whether cell_view
should request space to fit the entire GtkTreeModel.
This is used by GtkComboBox to ensure that the cell view displayed on the combo box’s button always gets enough space and does not resize when selection changes.
Since: 3.0
gboolean
gtk_cell_view_get_fit_model (GtkCellView *cell_view
);
Gets whether cell_view
is configured to request space
to fit the entire GtkTreeModel.
Since: 3.0
“background”
property“background” gchar *
Background color as a string.
Flags: Write
Default value: NULL
“background-gdk”
property“background-gdk” GdkColor *
The background color as a GdkColor
GtkCellView:background-gdk
has been deprecated since version 3.4 and should not be used in newly-written code.
Use “background-rgba” instead.
Flags: Read / Write
“background-rgba”
property“background-rgba” GdkRGBA *
The background color as a GdkRGBA
Flags: Read / Write
Since: 3.0
“background-set”
property“background-set” gboolean
Whether this tag affects the background color.
Flags: Read / Write
Default value: FALSE
“cell-area”
property“cell-area” GtkCellArea *
The GtkCellArea rendering cells
If no area is specified when creating the cell view with gtk_cell_view_new_with_context()
a horizontally oriented GtkCellAreaBox will be used.
since 3.0
Flags: Read / Write / Construct Only
“cell-area-context”
property“cell-area-context” GtkCellAreaContext *
The GtkCellAreaContext used to compute the geometry of the cell view.
A group of cell views can be assigned the same context in order to ensure the sizes and cell alignments match across all the views with the same context.
GtkComboBox menus uses this to assign the same context to all cell views in the menu items for a single menu (each submenu creates its own context since the size of each submenu does not depend on parent or sibling menus).
since 3.0
Flags: Read / Write / Construct Only
“draw-sensitive”
property“draw-sensitive” gboolean
Whether all cells should be draw as sensitive for this view regardless of the actual cell properties (used to make menus with submenus appear sensitive when the items in submenus might be insensitive).
since 3.0
Flags: Read / Write
Default value: FALSE
“fit-model”
property“fit-model” gboolean
Whether the view should request enough space to always fit the size of every row in the model (used by the combo box to ensure the combo box size doesnt change when different items are selected).
since 3.0
Flags: Read / Write
Default value: FALSE


Get in touch with us
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My name is Brady Rudesill and I am a student at DevbootCamp.
I was born in Baltimore, Maryland and I previously attended Elizabethtown College and obtained my bachelors degree in Computer Engineering.
I have a few hobbies such as:
Cars
I drive a Mazda Mazdaspeed6 that I have worked on myself. It has:
- Corksport Short Ram Intake
- Corksport Turbo Inlet Pipe
- Corksport Rear Moter Mount
- Corksport Rear Differential Mount
- Bridgstone Potenza s-04 Pole Position Tires
Music
- Led Zeppelin
- Brand New
- Daggermouth
- Saves the Day
- Bayside
- Lamb of God
- Trivium
Computers
I love making and upgrating my computer, its specs. are below.
- Corsair 600t Silver Edition Case
- Corsair GS750 Power Supply
- 2500k @ 4.6ghz
- Sapphire 7970 OC edition
- Corsair Vengence Ram
- 256gb Samsung 850 Evo SSD
- ~12tb Segate/WD HDD's for storage
Audio
I'm really passionate about good quality audio and have worked hard to get good sounding equipment(I try to wait for great deals before I buy anything since the audio community progresses slower than technology). My set up is below.
- Epos Epic 2 Speakers
- Peachtree Decco65 Integrated Amplifier
- Polk PSW505 Subwoofer
- Realistic LAB-1600 Turntable
- DIY CAT-5 Speaker Cables (81-Strand)
- Boozhound Labs Phono Pre-amp


Squeak Web Server
|
|
Introduction
This is a web server for Squeak,
implemented entirely inside Squeak. Its purpose is to make Squeak a
web-based OODBMS/object server/application server (pick your name). Some
of its features are
- user authentication
- forms support
- transaction logging for image roll forward in case of a crash
- per user undo facility
- nightly housekeeping operations
Note: Currently this is not a full fledged HTTP 1.0 server, namely
- no support for simple requests (nobody sends them anyway)
- any request that is not POST is treated as GET
Principles of Operation
URLs
The server handles URLs of the form 'objectId.message'
. Additional parameters delimited by dots may be appended.
Since OOP's are not fixed in Squeak the web server maintains its own objectId's. There are two kinds of them
- automatic
These are numeric and generated on demand.
They are purged nightly to avoid garbage accumulation (Squeak has no
weak references). These URL's should not be bookmarked.
- manual
These are alphabetic and managed by the system
administrator. They represent the 'official' entrypoints and thus may
be bookmarked.
Message is always a single parameter keyword message (with the trailing
colon omitted) with the parameter describing the request.
The corresponding method must be in the Category "HTML Reply" to be
accepted otherwise a "400 Bad Request" message is returned. The same
reply is triggered by any execution error.
Authentication
The WWW-Authenticate: Basic
mechanism is used.
It is up to the individual HTML-generating method to use the
authentification information to decide whether the request is legitimate
or how to customize the response. Utility methods provide for the RFC
1421 encoding of username/password combinations and mapping them to
application defined 'user' objects.
Forms
Forms information is extracted to a dictionary with the field names as
keys and the field data as values. Multivalued fields (multiple
selection lists, checkbox groups) return an array of values.
Transaction Log
The log contains information to rerun all requests in case of a crash.
Since this includes username/password information the log has to be kept
as secure as the image itself. To guarantee (approximately) accurate
timestamps when rolling forward Time has been augmented with a 'Bias'
class variable. All senders of Time>primSecondsClock
must be modified to apply the bias (Time dateAndTimeNow
and Time>totalSeconds
in the standard image).
Undo
Undo is implemented by creating undo objects holding receiver, message,
and parameters. It is the responsibility of the request (form)
processing methods to build these objects. Only the (n) newest undo
objects are kept, furthermore they are purged during the night. Every
user sees only her/his undos.
Implementation Notes
- String constants
- Some string constants are stored in the pool dictionary TextConstants.
TextConstants at: #HttpAuthorize
- You may want to use a different realm.
WebRequest>getReply
- Use the name of your local proxy server or eliminate the first line if you don't care.
WebRequest>noProxy
- Write about your own proxy policy (if you have one, see
WebRequest>getReply
).
WebRequest>robots
- Insert your robot policy.
WebRequest>title
- Adjust the header to your local needs.
WebRequest>getReply
- Adjust the page footer to your local needs.
Source code
Get WebServer.st and miscChanges.st and file them into a 1.21 image. Execute WebRequest serveOnPort: 8080 loggingTo: 'test.log'
. Then load the URL http://your.server:8080/Server.demo
in your favorite web browser.
Notes on version 0.1.1:
- The code has been tested by loading into a virgin 1.21 image on the Mac. Let me know whether it works on other platforms.
- The example implements a very simple class hierarchy browser, demonstrating forms and authentication.
- Username/passwort for stopping the server is "manager"/"squeak".
- Running both Squeak and the browser on the same machine gave halting performance on my Mac.
- You might experience some freezes or crashes. Whether due to bugs in the socket primitives or misuse on my side, I do not know.
- Sometimes the server seemes to be deaf. Aborting and retrying the request at the browser side usually corrects this.
- Image roll forward and undo are not yet implemented.
Feel free to contact me if you have any comments or questions.
Georg Gollmann, Dept.
Systems Support (IU),
19.8.1997


Overview
He was born on the serengeti to a pack of miniature giraffes. Raised through infancy by these tinny giants, he quickly honed his skills through cave painting and tool making
It was upon his arrival to the cold tundra known as RIT that he truly learned what d-zign is. It was here that he joined a hip-hop group, serendipitously knwon as the Tinny Giants.
Skills:
Skills are like bananas, good for you
The objective for this project was to create an infographic that focused on a recipe. I have always been fascinated by the simplicity and structural integrity of the egg, which lead to me to research nature's recipe for creating eggs.


"""Determine the conditions under which a polynomial matrix has rank
less than, or equal to, n."""
# pylint: disable=import-error,wildcard-import
#from sage.all import *
from polyrank.mmatrix import MMatrix
import polyrank.utils
##############################################################################
# main.py
##############################################################################
# pylint: disable=too-few-public-methods
[docs]class RowReduction:
"""
Represents a leaf in the recursive row reduction of a matrix.
"""
def __init__(self, matrix, ideal):
self.matrix = matrix
self.ideal = ideal
def __repr__(self):
return "Row reduced {}x{} matrix under {}".format(
self.matrix.row_size(), self.matrix.column_size(), repr(self.ideal)
)
[docs] def rank(self):
"""
Return the rank of a row reduction operation.
:returns type: int
"""
return self.matrix.rank()
# pylint: disable=dangerous-default-value
[docs]def recursive_reduce(mat, ring, _current_branch=None, _leaves=[]):
"""
Recursively row reduce a matrix with entries in a given polynomial ring.
Note that since we are not working with entries in a field, pivoting, i.e.
multiplication by multiplicative inverses isn't well defined.
There are various methods which can be used to ensure that rows are
linearly independent as from prior rows, as the matrix rows are
enumerated. However, such methods may not be valid for all points. An
entry `a_{i,j}` may be equal to zero on some point `s`. To account for
this, a new row-reduction is performed for every choice of pivot. The
row-reduced matrices are returned with entries in normal form modulo a
given ideal `I`.
:param mat: The polynomial matrix to row reduce
:type mat: :class:`.mmatrix.MMatrix`
:param ring: The ring to which entries of ``mat`` belong
:type ring: :class:`sage.rings.polynomial.multi_polynomial_ring_generic.\
MPolynomialRing_generic`
:returns: [RowReduction, [[RowReduction, []], [RowReduction, []]]]
:returns type: list
"""
if _current_branch == None:
_current_branch = ring.ideal()
token = repr([_current_branch.groebner_basis(), mat.matrix])
if token in _leaves:
return []
else:
_leaves.append(token)
reduced_mat, new_branches = mat.row_reduce(_current_branch)
branched_results = [RowReduction(reduced_mat, _current_branch)]
for branch in new_branches:
next_branch = _current_branch + ring.ideal(branch)
branched_results.append(
recursive_reduce(mat, ring, next_branch, _leaves)
)
return branched_results
[docs]def find_conditions_rank_leq_n(mat, ring, max_rank):
"""
Find the conditions under which a polynomial matrix, ``mat``, has rank
less than or equal to ``max_rank``.
:param mat: The polynomial matrix to evaluate
:type mat: :class:`.mmatrix.MMatrix`
:param ring: The ring to which entries of ``mat`` belong
:type ring: :class:`sage.rings.polynomial.multi_polynomial_ring_generic.\
MPolynomialRing_generic`
:param int max_rank: The maximum rank to check
:returns: { 0 : [RowReduction, ...], 1 : [...], ..., n : [...] }
:returns type: dict
"""
results_tree = recursive_reduce(mat, ring)
results = [x for x in polyrank.utils.flatten(results_tree)]
output = {}
for i in range(max_rank +1):
output[i] = [result for result in results if result.rank() == i]
return output
# pylint: disable=invalid-name,undefined-variable
if __name__ == "__main__":
R = PolynomialRing(QQ, ['x%s'%i for i in range(1, 10)])
R.inject_variables(verbose=False)
mat_3x3 = MMatrix([[x1, x2, x3], [x4, x5, x6], [x7, x8, x9]])
rank_n = 3
conditions = find_conditions_rank_leq_n(mat_3x3, R, rank_n)
for rank in conditions.keys():
print("Rank {}:".format(rank))
for condition in conditions[rank]:
print(" "*4 + str(condition.ideal))


This is your data view. Below you find a list of visualizations and the
networks currently in your browser.
Networks
Data Tables
Network
Name:
Node Table
A node table describes the nodes in the network. That means that each row in the
node table describes a node and its relations, or attributes.
Select a previously uploaded node table from the list:
or
Link Table
A link table describes the links in a network. That means that each row describes
a link with at least a source and target. Optional attributes include time, link
type, link weight, and locations of source and target nodes while connected
through this link.
Select a previously uploaded link table from the list:
or
Location Table
A location table describes coordinates of places mentioned in the link table.
Select a previously uploaded location table from the list:
or


×
About
An intiative by Cybros - Computer club of LNMIIT to make an eassily accesible archive of question papers of various courses taught at LNMIIT.
Contact
Every student should participate fully in this endeavour. Contact Cybros active members to submit a paper or make a PR yourself!
>
☰
LNMIIT Papers
LNMIIT Papers
All the papers are sorted by year basis, then semester then branch wise.


VisualEffectView
VisualEffectView is a blur effect library with tint color support. This library uses the UIVisualEffectView to generate the blur.
$ pod try VisualEffectView
Requirements
- iOS 9.0+
- Xcode 9.0+
- Swift 5 (VisualEffectView 4.x), Swift 4 (VisualEffectView 3.x), Swift 3 (VisualEffectView 2.x), Swift 2 (VisualEffectView 1.x)
Usage
Add an instance of VisualEffectView to your view.
import VisualEffectView
let visualEffectView = VisualEffectView(frame: CGRect(x: 0, y: 0, width: 320, height: 480))
// Configure the view with tint color, blur radius, etc
visualEffectView.colorTint = .redColor()
visualEffectView.colorTintAlpha = 0.2
visualEffectView.blurRadius = 10
visualEffectView.scale = 1
addSubview(visualEffectView)
Depending on the desired effect, the effect may affect content layered behind the view or content added to the visual effect view’s contentView. After you add the visual effect view to the view hierarchy, add any subviews to the contentView property of the visual effect view. Do not add subviews directly to the visual effect view itself. Refer to the UIVisualEffectView for more info.
For more examples, take a look at the example project.
Customization
var colorTint: UIColor // tint color. default is nil
var colorTintAlpha: CGFloat // tint color alpha. default is 0
var blurRadius: CGFloat // blur radius. default is 0
var scale: CGFloat // scale factor. default is 1
Storyboard Support
Works great with storyboards and xibs.
Installation
CocoaPods
To install with CocoaPods, simply add this in your Podfile
:
use_frameworks!
pod "VisualEffectView"
Carthage
To install with Carthage, simply add this in your Cartfile
:
github "efremidze/VisualEffectView"
Manually
- Download and drop
VisualEffectView.swift
in your project. - Congratulations!
Communication
- If you found a bug, open an issue.
- If you have a feature request, open an issue.
- If you want to contribute, submit a pull request.
Disclaimer
VisualEffectView utilizes a private UIKit API to do its magic. Use caution, submitting this code to the App Store adds the risk of being rejected!
Credits
https://github.com/collinhundley/APCustomBlurView
License
VisualEffectView is available under the MIT license. See the LICENSE file for more info.


Table of Contents
| Heidi Revisited
Prev:
Things in Quotes
Next:
Listening to the Bird
Chapter 5: Heidi Revisited
In this chapter we revisit
The Adventures of Heidi
and make some improvements.
Listening to the Bird
Entering the Cottage
Climbing the tree
Dropping objects from the tree
Is the bird in the nest?
Summing Up
adv3Lite Library Manual
Table of Contents
| Heidi Revisited
Prev:
Things in Quotes
Next:
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MacBook Upgrade. First Impressions
In the beginning I will tell how I started to use Apple ecosystem.
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In the beginning I will tell how I started to use Apple ecosystem.
In this post, I will provide a step by step tutorial regarding the process I used for getting up my blog. In the past, I had a personal website, hosted on a paid hosting. I paid for the hosting services about 40$ / year + about 35$ / year for a personal domain.


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| DOSE: |
repeated |
oral |
Cannabis |
(cookie / food) |
| |
repeated |
smoked |
Cannabis |
(plant material) |
I got back to school a week ago, after two weeks of holidays in which I stuffed myself with magic brownies containing at least two ounces worth of weed, as well as smoking bongs occasionally. I have been feeling withdrawal symptoms worse than ever before. This is my story.
During the day I try to be sociable and friendly to people, because I love friendship and I love making people feel good about themselves. It gives me great joy to be nice to someone and see my goodwill reciprocated even in the slightest.
For the past week the nights have been different altogether.
When I am alone in my room I remember things that happened during the day and sometimes when I think someone has slighted me it becomes blown all out of proportion.
Two nights ago it was the Vice-Principal at school because she referred to me as a 'kid,' saying 'this kid seems to know what he's doing,' in a seemingly condescending manner. What wrathful plans I had against the Vice-Principal!  (Possible result: Instantly expelled from school! Way to assert your authority, son!)
Last night I was angry about someone who I didn't know who talked to me. I thought he was a nerd and his attitude seemed just a little bit condescending. I was livid with rage for five hours at least!  All that he asked me was the grade I received for the assessment items in the unit, and what grade I was in.  I'll teach him to make conversation with me! Hah! (Unreasonable?  I started acting all weird.  I guess I am sort of back to normal now that I can look at it retrospectively and analytically.
Marijuana withdrawal sux! I never wanted to be suspicious and hateful of people! All I ever wanted was to be smashed out of my mind so I could have some happy holidays at home.
In withdrawing from it I have misinterpreted people and blown situations totally out of proportion, and have had worse fits of anger than ever. Now I can only think how lucky I am to have avoided situations where I could have focused my weed-induced hatred on someone and left them with a scarring memory.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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{% include 'prototypes/prototype-jun-2019/includes/contact.html' %}
{% endblock %}
Do you owe Jan Clark any money?
 We'll ask about this later.
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---
layout: docs_default
title: Unit Neurons Documentation - Examples
---
Examples
Kohonen's SOM Neural Net Trained on Uniform Distribution
Code
Visualization via Processing (5x5 mapping neurons)
Feedforward Network Fit to Sine Function via Gradient Descent
Code
Visualization via Processing (fit to sine wave)
Proximal Policy Optimization (Rough implementation)
Code
- Policy and value functions defined separately
- Reinforcement learning framework
- Generalized Advantage Estimator implementation
- Long training time with current state (no multiprocessing)


| Interface | Description |
|---|---|
| BaseTest |
Created by omerozer on 2/20/18.
|
| KnitInterface |
Base interface for
Knit class. |
| KnitUser |
Created by omerozer on 2/5/18.
|
| MemoryEntity |
All internal components of Knit such as
InternalModel & InternalPresenter extend this class. |
| MessageReceiver |
Knit components that receive messages in the form of
KnitMessage implement this. |
| Mocker |
Created by omerozer on 3/20/18.
|
| ModelInterface |
Base class that provides callbacks to all Models.
|
| ModelMapInterface |
When KnitProcessor scans classpath, it creates a class called
ModelMap that implements ModelMapInterface . |
| NativeViewCallbacks |
Callback interface that provides
KnitPresenter with callback methods from a native Android Activity . |
| Poolable |
Objects that can be re-used without being destroyed and recreated can implement Poolable.
|
| PresenterInterface |
Provides methods that handle Presenter specific functionality.
|
| ViewToPresenterMapInterface |
When KnitProcessor scans classpath, it creates a class called
ViewToPresenterMap that implements ViewToPresenterMapInterface . |
| Class | Description |
|---|---|
| AndroidView | |
| AndroidViewUtility |
Utility class that extracts certain Android native components out of view objects and starts fragments.
|
| AttachmentMap |
This object handles all live attachment mappings for a particular view object.
|
| EntityInstance<T extends MemoryEntity> |
Container class for all
MemoryEntity instances registered to UsageGraph . |
| InternalModel |
This class is the master class of
KnitModel that is exposed to the user. |
| InternalPresenter |
This class is the master class of
KnitPresenter that is exposed to the user. |
| Knit |
Main instance of Knit framework.
|
| KnitAppListener |
This is used internally by Knit to listen for activity lifecycle events and handle them
accordingly.
|
| KnitMessage |
Carrier object for inter-presenter objects.
|
| KnitModel |
Model classes that are exposed to the developer by Knit.
|
| KnitModelTest<T extends KnitModel> |
Created by omerozer on 2/20/18.
|
| KnitNavigator |
Class that handles Navigation accross all views.
|
| KnitPresenter<T,I> |
Presenter classes that are exposed to the developer by Knit.
|
| KnitPresenterTest<T extends KnitPresenter,K> |
Created by omerozer on 2/20/18.
|
| KnitResponse<A> |
This class wraps the body of a generated response type or an error from a
KnitModel . |
| KnitTestKit |
Created by omerozer on 2/18/18.
|
| KnitTestKit.ModelBuilder<T extends KnitModel> | |
| KnitTestKit.PresenterBuilder<T extends KnitPresenter> | |
| MemoryPool<T extends Poolable> |
A pool of objects that can be reset instead of being destroyed and recreated to reduce
allocation overhead.
|
| MessagePool |
MemoryPool for messages that get sent from one KnitPresenter to another. |
| MessageTrain |
This class holds
KnitMessage s for a target View. |
| MockEvents |
Created by omerozer on 2/20/18.
|
| MockResponses |
Created by omerozer on 2/20/18.
|
| MockResponses.Creator<T> | |
| NullValues |
Created by omerozer on 2/19/18.
|
| TestKnit |
Created by Omer Ozer on 4/3/2018.
|
| TestModelManager |
Created by omerozer on 2/20/18.
|
| TestSchedulers |
Created by omerozer on 2/26/18.
|
| ViewEvents |
A hub for all view events.
|
| Enum | Description |
|---|---|
| InstanceType |
Instance type for
Model . |
| Annotation Type | Description |
|---|---|
| Collects |
Should be used on Generators that require other models.
|
| Generates |
All generators need to be annotated with this or
Collects to be used with Knit. |
| Inputs |
All inputters need to be annotated with this to be scanned by KnitProcessor and get registered into a Model Manager.
|
| KnitView |
All views such as Activities and Fragments need to be tagged with this to be registered with Knit.
|
| Model |
All KnitModels need to be annotated with this to be scanned and registered with Knit.
|
| ModelEvent |
Methods that listen to events fired from Models need to be annotated with these.
|
| Presenter |
All Knit Presenters need to be tagged with this to be scanned and registered with Knit.
|
| ViewEvent |
Methods that listen to events fired from Views need to be annotated with these.
|


The Engineering division is involved to consult and supervision of
all the construction and maintenance work in the ministry and facilitates
the Technical related matters to the institutions under the Ministry.
Duties
Maintenance of the Ministry of Agriculture buildings, quarters and circuit bungalows owned to the Ministry.
Maintenance of the office equipment in the Ministry.
Contribute on Civil Engineering activities in every departments & institutions under the Ministry.
Responsibiltiy
Providing technical recommendation & service in the field of mechanical engineering and civil engineering.
Coordinate with institutes under the ministry for technical related matters.
Fulfill required action on Civil Engineering activities implemented by farmer’s Trust Fund.


The Search Engine SiteMap (titled "Sitemap" in the ControlBar and when you add it to a site page) allows users to configure a SiteMap that can then be submitted to one or more search engines for improved search optimization. Sitemap providers for DNN allows any DNN module to participate into the Google/Yahoo!/Bing Sitemap generation for your site. Sitemap files generated by DNN Sitemap provider are fully compliant with protocol specification published at: http://www.sitemaps.org/protocol.php
Authenticated users who can view the module can configure and submit the SiteMap.
The Sitemap Module


class: center, middle, inverse, title-slide # Dynamics ### Christopher Moore ### Week 04 --- # Models fit from yesterday's lab: time series ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-3-1.png)<!-- --> --- # Models fit from yesterday's lab: residual sum of squares ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-4-1.png)<!-- --> --- # Experiment write up (paper) - **Introduction**: A couple of paragraphs on single-species dynamics (esp. density dependence). Structurally, begin broadly (e.g., population ecology, single-species population growth) and end specifically (e.g., evaluating). End with the aim (estimate parameters and discriminate among models) and predictions. -- - **Methods**: A subsection on parameter estimation and a subsection on model discrimination. Each subsection might be a couple of paragraphs. Include R functions, initial conditions, equations, and other relevant material that one would need to be able to generally replicate the work. -- - **Results**: a couple of paragraphs describing the findings. Include at least one graph from estimating parameters section with the data, logistic curve, and exponential curve on the same graph. Include a table with the models you fit, their estimated parameter values, and residual sum-of-squares. -- - **Discussion**: Evaluate and discuss your findings in 3-to-4 paragraphs. Contextualize what you found with what you wrote about in your introduction. --- class: inverse, center, middle # Dynamics --- # The genesis of the qualitative theory of differential equations > *Formerly an equation was not considered solved except when the solution was expressed by means of a finite number of known functions; but that is possible in scarcely once in a hundred times. What we can alwyas do, or rather what we may always try to do, is to solve the problem qualitatively, so to speak—that is, to find the genereal shape of the curves which the unknown function represents.* > Henri Poincaré --- class: inverse, center # A new ecological model: Allee effects ![African wild dogs](https://c402277.ssl.cf1.rackcdn.com/photos/10341/images/hero_full/wild_dogs-web.jpg?1447180370) (an exciting hunting sequence: [link](https://www.youtube.com/watch?v=WqEzEHRuLf0)) --- # A new ecological model: Allee effects **Allee effect**: positive density dependence at low density, so that small populations grow more slowly than large ones. (First described by Warder Clyde Allee.) -- Mathematically, Allee effects can be modeled `$$\frac{dN}{dt} = rN\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right)$$` -- We have a model: let's analyze and graph it! -- What are long-term behaviors; i.e., the equilibria? Take a couple of minutes, but just look at the equation and don't do any math on paper. Write down the answer and I'll come by to check. --- # Next, plot a time series `$$\frac{dN}{dt} = rN\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right)$$` Assign any `\(r\)`, `\(K\)`, and `\(N(0)\)` values, but make sure that `\(A < K\)`. --- # Allee time series: code ```r allee <- function(t, N, parms) { with(as.list(c(N, parms)), { dN <- r*N*(1 - (N/K))*((N/A)-1) return(list(dN)) }) } parameters <- c(r = 0.5, K = 10, A = 2) N0a <- 0 N0b <- 1.5 N0c <- 2.5 time.seq <- seq(from = 0, to = 30, by = 0.01) out.a <- ode(y = N0a, time = time.seq, func = allee, parms = parameters) out.b <- ode(y = N0b, time = time.seq, func = allee, parms = parameters) out.c <- ode(y = N0c, time = time.seq, func = allee, parms = parameters) ``` --- # Allee time series ```r par(mfrow = c(1, 3), mar = c(4.5, 4.5, 0.1, 0.1)) plot(x = out.a[,1], y = out.a[,2], las = 1, lwd = 2, xlab = "Time", ylab = "Density (N)", type = "l") plot(x = out.b[,1], y = out.b[,2], las = 1, lwd = 2, xlab = "Time", ylab = "Density (N)", type = "l") plot(x = out.c[,1], y = out.c[,2], las = 1, lwd = 2, xlab = "Time", ylab = "Density (N)", type = "l") ``` ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-6-1.png)<!-- --> --- # Allee population change .pull-left[ ```r Ns <- seq(from = -1, to = 11, by = 0.01) pop.change <- unlist(allee(t = 1, N = Ns, parms = parameters)) par(mar = c(4.5, 4.5, 0.1, 0.1)) plot(x = Ns, y = pop.change, las = 1, xlab = "Density (N)", ylab = "Population change (dN/dt)", type = "n") segments(x0 = -10, x1 = 20, y0 = 0, y1 = 0, lwd = 0.5) segments(y0 = -10, y1 = 20, x0 = 0, x1 = 0, lwd = 0.5) lines(x = Ns, y = pop.change, lwd = 2, col = "red") ``` ] .pull-right[ ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-8-1.png)<!-- --> ] --- # Allee per-capita change .pull-left[ ```r Ns <- seq(from = -1, to = 11, by = 0.01) pc.change <- unlist(allee(t = 1, N = Ns, parms = parameters))/Ns par(mar = c(4.5, 4.5, 0.1, 0.1)) plot(x = Ns, y = pc.change, las = 1, xlab = "Density (N)", ylab = "Population change (dN/dt)", type = "n") segments(x0 = -10, x1 = 20, y0 = 0, y1 = 0, lwd = 0.5) segments(y0 = -10, y1 = 20, x0 = 0, x1 = 0, lwd = 0.5) lines(x = Ns, y = pc.change, lwd = 2, col = "red") ``` ] .pull-right[ ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-10-1.png)<!-- --> ] --- # Allee population change Only changing `\(A\)` (from 2 to 10) to make Allee effect stronger ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-11-1.png)<!-- --> --- # Allee population change Only changing `\(A\)` (0 to 2) to make Allee effect weaker ![](Wk04_Dynamics_files/figure-html/unnamed-chunk-12-1.png)<!-- --> --- # Allee effects: determinting stability Take the derivative of the Allee model (remember the product rule) `$$\begin{align} \frac{dN}{dt} &= rN\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right)\text{, as} \\ \frac{d\frac{dN}{dt}}{dN} &=\text{ what?} \end{align}$$` --- # Allee effects: determinting stability **Determining stability takes two steps: (1) finding the derivative of the function with respect to `\(N\)` and (2) evaluating the derivative at each equilibrium that you calculate (or numerically solve for using a computer).** (1) Take the derivative of the Allee model `$$\frac{d\frac{dN}{dt}}{dN} = r\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{-1}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{K-N}{K}\right)\left(\frac{1}{A}\right)$$` (2) Insert equilibrium values and you will find stability criteria --- # Allee effects: determinting stability **Equilibirum 1**, `\(N^* = 0\)` The derivative: `$$\frac{d\frac{dN}{dt}}{dN} = r\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{-1}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{K-N}{K}\right)\left(\frac{1}{A}\right)$$` -- Evaluating at `\(N^* = 0\)`: `$$\frac{d\frac{dN}{dt}}{dN}\Bigg|_{N^*=0} = r\left(\frac{K-0}{K}\right)\left(\frac{0 - A}{A}\right) + r(0)\left(\frac{-1}{K}\right)\left(\frac{0 - A}{A}\right) + r(0)\left(\frac{K-0}{K}\right)\left(\frac{1}{A}\right)$$` -- The solution: `$$-r$$` If `\(<0\)`, then the point is stable; if `\(>0\text{, then the point it unstable}\)`. --- # Allee effects: determinting stability **Equilibirum 2**, `\(N^* = K\)` The derivative: `$$\frac{d\frac{dN}{dt}}{dN} = r\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{-1}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{K-N}{K}\right)\left(\frac{1}{A}\right)$$` -- Evaluating at `\(N^* = K\)`: `$$\frac{d\frac{dN}{dt}}{dN}\Bigg|_{N^*=K} = r\left(\frac{K-K}{K}\right)\left(\frac{K - A}{A}\right) + r(K)\left(\frac{-1}{K}\right)\left(\frac{K - A}{A}\right) + r(K)\left(\frac{K-K}{K}\right)\left(\frac{1}{A}\right)$$` -- The solution: `$$-r\left(\frac{K-A}{A}\right)$$` If `\(<0\)`, then the point is stable; if `\(>0\text{, then the point it unstable}\)`. --- # Allee effects: determinting stability **Equilibirum 3**, `\(N^* = A\)` The derivative: `$$\frac{d\frac{dN}{dt}}{dN} = r\left(\frac{K-N}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{-1}{K}\right)\left(\frac{N - A}{A}\right) + rN\left(\frac{K-N}{K}\right)\left(\frac{1}{A}\right)$$` -- Evaluating at `\(N^* = K\)`: `$$\frac{d\frac{dN}{dt}}{dN}\Bigg|_{N^*=A} = r\left(\frac{K-A}{K}\right)\left(\frac{A - A}{A}\right) + r(A)\left(\frac{-1}{K}\right)\left(\frac{A - A}{A}\right) + r(A)\left(\frac{K-A}{K}\right)\left(\frac{1}{A}\right)$$` -- The solution: `$$r\left(\frac{K-A}{A}\right)$$` If `\(<0\)`, then the point is stable; if `\(>0\text{, then the point it unstable}\)`. --- # Allee effects: stability summary 1. At `\(N^* = 0\)`, if `\(r > 0\)`, the equilibrium point is stable. -- 2. At `\(N^* = K\)`, if `\(-r\left(\frac{K-A}{A}\right)\)` is positive (births are greater than deaths, and the Allee threshold is less than the carrying capacity), the equilibrium point is stable. -- 3. At `\(N^* = A\)`, if `\(r\left(\frac{K-A}{A}\right)\)` is negative (births are greater than deaths, and the Allee threshold is less than the carrying capacity), the equilibrium point is unstable. Notice that it's the same as (2.), but as the opposite sign. This should make sense when thinking about it graphically, where the curve slopes must have opposite signs for adjacent equilibria. --- class: inverse, center, middle ![success kid](https://i.imgflip.com/26adp5.jpg) # I hope you're here


Rail services resume in Kashmir Valley
Train chugs from Srinagar to Banihal
by PTIRail services in the Kashmir Valley resumed fully on Sunday — more than three months after being suspended due to security reasons — as the train chugged from Srinagar to Banihal through the restive south Kashmir, officials said.
The train passes through Srinagar station and the stations in south Kashmir before reaching Banihal.
A railway official said that “rail service in the Valley fully resumed this morning as the train chugged from Baramulla towards Banihal”. The official said there was only one run scheduled for Sunday, while the train would make two runs on a daily basis from Monday.
The Railways conducted a trial run on Sunday morning before the actual service started, he added.
Rail service in the Valley had partially resumed on Tuesday as the train chugged in the Baramulla-Srinagar stretch. The authorities have directed the Railways to ply the trains between 10 a.m. and 3 p.m. only due to security reasons, the official said.
The train service in the Kashmir valley was suspended due to security reasons on August 3 ahead of the Centre’s announcement of abrogation of Article 370 and the bifurcation of the erstwhile State into two Union Territories.
The weekly flea market here, meanwhile, witnessed a huge rush of customers, official said.
They said markets remained open around noon, after which shopkeepers downed their shutters to join the protest against the abrogation of the special status of Jammu and Kashmir.
Few mini-buses have started plying on some routes in the city and elsewhere in the Valley, the officials said, adding, cabs and autorickshaws were also plying.
They said private transport was plying unhindered in the city in Srinagar and elsewhere in the Valley.


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--- layout: post title: ! 'Pragmatic CQRS: Verifying username uniqueness when registering a new user' ---
Most people who get started with CQRS have issues with this classical example: "how do we verify username uniqueness when a new user registers ?".
While user authentication is something that has been implemented numerous amounts of times before, and one should usually not reinvent the wheel but use an existing software library for this particular case, the problem in itself is rather interesting, and happens quite a lot in a domain.
In this small article I will show you a simple proper way to resolve the issue respecting CQRS/DDD principles.
Let us think about another way to solve the issue. I will rewrite the scenario a little bit:
Not so quick! I have a rule of thumb: whenever I have to communicate between different AR's (even the ones of the same AR type), I use a saga. What is uniqueness validation when you think about it ? Exactly !! A question to all the other AR's whether an entity with the same properties exists. So let us have a second scenario for the saga:
Please note that scenario's for sagas are a little different:
There you have it, a simple and elegant solution to a problem everybody struggles with in the beginning.


The Loop Torsion Tool has been created to simplify the process of protein loop homology modelling. The tool uses a linear inverse-kinematics approach to target loops' torsions to desired values. The approach assumes fixed bond lengths, constrained end groups loops, and ignores molecular interactions. It also allows to constrain any of the torsions within a loop's structure for more advanced calculations. Protein structures can either be downloaded from the Protein Databank using PDB codes or uploaded manually, and then the loop segments can be extracted by providing the first and last ordinals of protein amino acids.
The approach has been devised by Dr. Steven Hayward (University of East Anglia, UK), and Dr. Akio Kitao (The University of Tokyo, Japan & Japan Science and Technology Agency, Japan). The original paper can be accessed here.
This website, running a script developed by the above-mentioned paper's authors, has been developed by Pavel Solodilov as a part of 3rd year project module of School of Computing Sciences' undergraduate program in Computer Science, University of East Anglia, Norwich, UK.
This tutorial will introduce you to the tool's workflow.
The top navigation bar consists of a set of buttons available at each of the screens of the tool. On the far left, there is a global menu button: the topic of this subsection. On the right side of the navigation bar, there are the home icon, which will lead you to the homepage, and the language button, which shows a language selection dialog upon clicking.
The global menu, accessible via the global menu button in the left upper corner of the screen, contains a 'log in' and 'sign up' buttons, in addition to containing your segments and their transforms (see Section 6 for more details). You can press the Escape button (Esc) to close the global menu at any point.
The sign up process is very straightforward: enter your email and password, and you are done. The benefits of signing up and logging in include abilities to easily access, share and delete your segments and transforms (see Section 6 for more details). The password has to be at least 8 symbols long and contain at least a single number. No email confirmation required.
The login process is as straightforward as the sign up process. Be aware that there is currently no way to restore your password, so please so not lose it.
You change the language of the tool by clicking the language button and picking one of the available languages.
The initial screen that you see when you load the tool is the Cut Form. The Cut Form contains a set of fields that need to be filled in order to extract a segment (loop) from a protein's model.
In order to use a PDB file from the Protein Databank, all you need to do is to provide its PDB code ('1adg' in the example) in the 'PDB code' field of the form. Other required parameters are:
- Please note that there must be at least 4 amino acids in the segment in order for the tool's algorithm to work.
- The name of your segment will be determined by extracting the molecule name field from the PDB file.
- Any transform derived from your segment will be automatically shared on the main page if it was retrieved using a PDB code.
- You can press the 'enter' button on your keyboard or click the 'submit' button in order to submit your selection.
On the other hand, if you would like to submit your own PDB file, you can do so by checking the 'Own PDB File' checkbox in the Cut Form. This action would change the form by disabling the PDB code input, and allowing you to upload own PDB file and set a custom name for your protein. All of the points from subsection 3.1.1 apply to this section as well, except for the fact that you will have control over sharing your transform on the main page, even if you are not logged in.
The top button in the lower left corner of the screen is the Share Link button.
It allows you to share a link to your structure with others without it appearing on the home screen.
Sharing happens simply by pasting the given URL into the address bar of your browser.
The URL contains the unique ID of the segment (generated randomly), and any person who knows it is able
to access the segment.
NB! The person you have shared the link with can create a transform based
on your segment, and then share it on the homepage without your consent.
The button directly below the Share Link button is the Download button, that simply allows you to download the extracted segment's PDB file. The PDB file will contain none of the metadata: only the structure will be there.
All of the segments and transforms produced during one session - without refreshing the page - are going to be kept in the Global Menu for convenient use. If you are not logged in, and have not shared any transforms of your segment on the homepage, and did not save the URLs or IDs of your segments, you will not be able to retrieve your results after refreshing the page, so please be cautious of your data. This applies bo both segments and transforms.
On the right of the Global Menu button of the Navigation Bar you will see so-called 'breadcrumbs', which allow you
to seamlessly move between different stages of the transform process. The leftmost breadcrumb will get you to the
Cut Form, where you can see the data you have entered to cut the current loop segment out. You can also change the
values and generate a new segment if you wish to do so.
This functionality works identially between all of the stages.
Clicking the button in the top right part of the JSmol window opens the Transform Form.
The Transform Form gives you the initial torsion values for each of the torsions, in addition to their type and
amino acid ordinal in the original protein structure.
If you have uploaded your own PDB structure, you will also have to tick the checkbox here to share your result.
This has to be done every time for each transform you produce based on an uploaded PDB file, whether yours or not.
This is the main part of the program which allows you to enter data to tranform your segment.
The target torsion values have to be between 180 and -180 degrees. If there are less than 6 free torsions in
a row, you will not be able to perform the transform. Constraining torsions is done by ticking the checkboxes next
to target torsion values.
Click the submit button in the lower right part of the JSmol window to perform the transform.
As soon as the transform has been calculated, the resulting animated transform will be shown to you.
Breadcrumbs' functions are retained, and a play/pause button will have been added. Clicking on the pause
button will allow you to pause the animation and see each of the frames/models of the animation one-by-one.
Download and share button will also function as seen before in Section 4.1.
If you have decided to share your result on the previous screen, by now it will have appeared on the homescreen.
However, if you chose a PDB from the Protein Databank using a code, the transform will have been shared
automatically.
Finally, you can see the results of the transform if you open the side panel, where the Transform Form used to reside. Now it has been replaced by a set of results, where:
Constrained torsions are not marked, but can be detected if you take a look at identical values of the initial and resulting torsions of 292-phi and 296-phi.
All of the examples before were given provided that the user has not been logged in. Signing up and logging in
will help you to manage your segments and transforms, as discussed in Section 2.2.
Every one of your segments and transforms will have been saved and attached to your account if you are logged in,
and you will have access to sharing your transforms on the homepage, looking at your segments and transforms,
and also deleting them.
Clicking on the 'expand' icon will redirect you to the segment/transform you have selected, while clicking on a
segment itself will show all of your transforms derived from a particular segment.
The 'three dots' button allows you to access the context menu, where you can perform the next actions:
- Share Link to the segment/transform.
- Download the segment/transform.
- Delete the segment/transform (will only work if you are logged in).
Requires a long click.
- Share on Homepage the transform. This will only show up if the transform is yet
to be shared. Requires a long click.
Even though your data will be saved if you are logged in, it is not foolproof. You might be logged out during your
session, and you will have to click the 'log out' button, followed by a log in to fix the potential issue. You
will be logged out automatically after each server restart, 1 month, or each time you change your browser or clear
your cookies.
Please bear in mind that mobile devices are not supported.
| Browser | Tested Version | Supported |
|---|---|---|
| Google Chrome | 57.0.2987.11057.0.2987.110 | Yes |
| Mozilla Firefox | 52.0 | Yes |
| Opera | 44.0.2510.857 | Yes |


An external module for REDCap to allow use of Local External Module Repositories. The local EM Repo would be set up on another REDCap server internal to your organization. This mimics the standard REDCap EM Manager for retrieval of zip files to add external modules with the difference that it goes to your configured repository URL location.
Enable the module and set the Custom Repo Url to your local repository, change the Custom Repo Key, and set the Custom Repo Main Dir to the directory where you have your repo server directory.
There is naturally set up for the local EM repo involved here where the above configuration parameters will make more sense.
Please note this only facilitates acquiring External Modules from your internal custom repository pulling zip files and that all the other External Module management is left to the standard processes within the standard External Module Management page.
You will first need to set up a whole new server with REDCap and then place the Custom Repo Server code there. You MAY use an existing server, however you will need access to place the zip files and make some configuration changes REQUIRED.
On your local external module repository server, add a directory such as "customrepo" and put the Custom Repo Server code there.
Edit the configuration files as described in that separate code base.
For example:
/redcap/customrepo
which will then have some directories as the following
/redcap/customrepo/modules
/redcap/customrepo/modules/filesarea (This is where you put your zipped EM files)
/redcap/customrepo/resources
/redcap/customrepo/resources/img
Have both the 'client' side and 'server' side have the same custom repo key.
Example: Custom Repo Key: testingkey
Repo server, configurationKeys.php
$customRepoSecretKey = 'testingkey'; // CUSTOMIZE
Also make sure, the Custom Repo Main Dir configuration matchs the directory on the Local Repo.
Custom Repo Main Dir: customrepo
Repo server /redcap/customrepo/
Click on the External module menu item: "REPO: Custom EM Download"
You should get a simple page with a button link which leads to your Custom Repo Server.
Also there will be a link back to the standard EM Manager page.
Example: There will be a menu item on the left side bar under "External Modules" titled: "REPO: Custom EM Download"
Regular external module enable and configuration.
A separate install of the customrepo code on a different REDCap server assigned as your repository.
An overview of the process relationships. Overview
This project is licensed under the MIT License - see the LICENSE file for details


Current Events
No current events planned at this time.
Previous Events
MAP-Ann Arbor Community Group Meeting with SOAP Outreach
August 27, 2017
Michigan Abolitionist Project (MAP) is a grassroots organization focused on prevention and ending human trafficking in Michigan and beyond. MAP works to raise awareness and mobilize communities to take action, including the restoration of hope and dignity to the survivors of modern slavery. MAP Community Groups are a group of concerned citizens who work together to address slavery in their community. MAP Ann Arbor is led and organized by volunteers to conduct awareness events and engage in service projects in the local community. We seek to empower community members to use their gifts, talents and resources to address human trafficking and its root causes.
End Human Trafficking Run To Set Her Free 5k Color Run!
September 9, 2017
Stoney Creek Metro Park 4300 Main Park Drive, Shelby Twp., MI 48316
Proceeds from the race will support victims of human trafficking on their journey to freedom by placing them in a 2-year rehabilitation program through the organization, Hope Against Trafficking (HAT). Modeled after the Magdalene/Thistle Farms model from Nashville, HAT’s restorative program provides a variety of services that will help victims leave the program with dignity, independence, and stability. Victims will have rent-free housing, professional trauma therapy, individualized case management, life and job skills, and legal support. Roughly 75% of the women who made it through the first 6 months of the Magdalene program were drug-free, pursuing education and employment 2 years later-a percentage unrivaled by any treatment center.


TactJS is a micro-framework which provides mechanisms for writing object-oriented javscript. Additionally, features like namespacing, behaviors, and an intelligent bootloader reinforce a style of javascript development that yields readable, maintainable, and above all discoverable code.
The features in TactJS give developers a way to use object-oriented practices in the way they create scripts, and at the same time reinforce a mental framework around writing javascript that produces highly cohesive, and very low coupled code. That means better script libraries with modular components which can be reused, combined, and extended to create flexible, maintainable, and discoverable systems.
In our experience front-end javascript development is approached by most developers with a bit of distate. Javascript by nature does not lend itself to a particular style or methodology and so most systems, especially those developed and maintained by multiple developers tend to become cluttered and difficult to manage over a very short period of time. The more complex the UI, the more convoluted the scripts become and that tends to make developers even more reluctant to want to do things like test, refactor, or modify existing scripts. That means more scripts are created, and the clutter continues to pile up. One-off scripts, hacks, and kludges form a barrier to productivity, and eventually front-end development on a project becomes a thoroughly unenjoyable chore because of highly coupled, and incomplehensible code.
The mantra of object-oriented development is high cohesion and low coupling. The idea that code should work in such a way that it doesn't depend on the specifics of it's implementation is why object-oriented development became so popular in the first place. Javascript is great because it doesn't tie a developer to a particular paradigm, and that flexibility means it's incredibly easy to write code that follows multiple patterns and practices in the same space. That gets to be a problem very quickly because too many developers treat javascript development without the consideration it requires to write really good scripts. By introducing a clean method for creating object-oriented systems to javascript that allows developers to more consistently achieve the goals of high cohesion and low coupling, projects become much easier to manage, test, and change even for developers who had nothing to do with the original implementation.
TactJS is a collection of (nearly) independent features which can be mixed and matched to suit the needs of your particular project, all running on the latest version of JQuery. Just reference the features you want to use, then take a look at the Features and API pages for examples and guides on how to write code with TactJS.
TactJS's class.extend relies on ECMAScript 5's object.defineProperty method. This means that if you are using object inheritance you will be limited to only the latest browsers, otherwise Tact.Query will the support Internet Explorer 8.
(Using class.extend) Internet Explorer 9 and greater.
(Not using class.extend) Internet Explorer 8 and greater.
Mozilla Firefox 3.5 and greater.
Google Chrome 5 and greater.


Get live charts for Pirate Chain (ARRR) price, volume, coin market cap, supply, exchanges, historical statistics and key fundamentals. Change chart range, track developer and social activities, and compare Pirate Chain against other cryptocurrencies.


{% extends "admin-layout.html" %} {% block title %}Create User - {% endblock %} {% block content %} {% if logged_in %}
A user has been successfully generated. You need to copy this information into the
users
section of
config/plugins/bauncms/baun-admin/admin.php
:
return [
...
'users' => [
'{{ user.email }}' => [
'email' => '{{ user.email }}',
'password' => '{{ user.password }}',
'role' => 'admin'
]
]
];
{% if not logged_in %}
Once this has been completed you can continue.
Continue {% endif %} {% if logged_in %}


Supporting retail pharmacies IT infrastructe.
Cardinal Health - Waukegan, IL
2012 - 2019
Supporting end users in business environments.
Sr Analyst IT Client Support
- Managed user accounts and computers in Active Directory.
- Conducted Windows 7/10 support and Windows OS migration.
- Installed and supported Microsoft Office 2010/2013/2016 and O365.
- Troubleshoot Cisco VPN, Outlook issues, virus removal for remote users using DameWare, TeamViewer.
- Used SCCM and Altiris for computer imaging.
- Managed laptop/desktop encryption using Bitlocker and PGP.
Key Contributions
- Remote support minimizing users down time.
- Creating knowledge articles how to fix complicated problems.


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CMSIS-Pack
Version 1.7.2
Delivery Mechanism for Software Packs
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Professional IDE debuggers provide great flexibility and multiple options for configuring debug of modern microcontrollers. But for software developers it is often challenging to correctly configure debug settings for their target system. Using debug description elements chip vendors can specify debug parameters applicable to a particular device and provide the default settings to be used by the debugger tool.
This chapter explains how to use the debug description elements.
An important item that needs to be specified for an MCU is the debug connection to the CPU. For that debug element shall be used. This element is most commonly used in DFPs to specify the system view description file (.svd). But it also contains useful attributes to define the debug connection to the processor: __dp , __ap and Pname.
An example code below defines debug connection for a dual-core device with one debug port and 2 access ports: indexed as 0
for Cortex-M4 and 1
for Cortex-M0+.
The same Pname identifier shall be used in debug element as defined in the corresponding processor element ('CM0plus' or 'CM4' in this example).
The numeric index values shall be typically specified for __dp attribute when multiple debug ports are available in the system and defined via debugport element. See Specify debug port for details about configuring debug ports.
For the __ap attribute the numeric index values shall be assigned based on the debug system implementation.
There's no need to specify all attributes in a single line at once, it can also be split over multiple assignments if it helps to better structure the sequences code. However the same Pname identifier shall be used. So the code below specifies the same debug connection for M4 processor as in the example above:
The attribute defaultResetSequence specifies the debug sequence that will be used by default to reset the device.
The debug IDE may also allow users to specify the reset type in the project options thus overwriting this default configuration. In multi-core systems Pname shall be used to ensure that the default reset sequence is set for a correct core.
A microcontroller system can have one or more CoreSight debug ports with one or more supported debug protocols (for example JTAG and SWD). debugport element can be used to describe the debug ports capabilities.
For example if only Arm Serial Wire Debug (SWD) interface is supported, then debugport shall be defined only with swd child element and no jtag elements. The swd element is really simple and can only take an idcode attribute that needs to be explicitly provided when you want to override the value of the SWD debug port's DPIDR register that will be read from the device.
Vice versa is true as well, if only JTAG is supported then SWD shall not be listed in the debugport element.
The numeric value assinged to the __dp identifies the debug port and is for the user to choose. When describing JTAG chains it is recommended to use the tapindex as the __dp value to avoid confusion.
Debuggers can normally autodetect JTAG chains. But with some devices there is still a need to fully specify the JTAG chain to avoid potential detection issues by the debugger. Below is an example for the NXP IMX6 Solo X:
Even though only two debug ports are used to access the processor cores, the other debug ports available in the system are specified as well. In this case it is needed to provide debugger with correct irlen values thus allowing it to correctly scan the JTAG chain and access the processors.
The tapindex uniquely identifies the JTAG interface and typically its value is also used as the identifier for the debug port (__dp) index. Same as with the SWD the explicit specification of the idcode attribute is really necessary only when it needs to overwrite the IDCODe value read from the device. And irlen attribute may require explicit specification here if there're problems correctly obtaining its value from the device.
To simplify the debugger configuration in an IDE the debugconfig element can be used to specify the default working debugger configuration that should be used as a starting point until the user explicitely makes project-specific changes.
For example the code below specifies SWD interface as default one with debug clock 5MHz. The debug port supports switching between SWD and JTAG debug protocols.
Using debug it is also possible to specify the default reset type to be used. See Specify CPU debug connection for details.