Ola Rosik-Rosińska
A fan of cats, cookies and programming.
Hobbies
Reading books
Baking
Video games
Painting
Geek Girls Carrots
Beer
Light theme
Dark theme


{{ define "head" }} {{ end }} {{ define "header" }} {{ end }} {{ define "main" }} Blog Learn more about managing a successful website


~ 5 min
Escolinha - A Mozambican preschool experience
Before coming to Mozambique, my 3 goals were:
- Embrace the new culture and environment
- Learn Portuguese
- Volunteer as a teacher
For the first two and a half months I have been doing a lot of the first two goals: practicing Portuguese with everybody I could, reading in Portuguese, meeting people, playing with Mozambican kids, getting to know the city, trying Mozambican food, etc.
But my plan to volunteer in a school was delayed until this month because right when we got here they started summer holidays and school didn’t start again until two weeks ago. Then, I didn’t want to bother the teachers the first week of school, because (as a teacher myself) I know how crazy those first days are! I did go and talk to the nuns that run the orphanage and “Escolinha” (their word for preschool). I told them I was interested in volunteering at the Escolinha to help the teachers with whatever they needed if I could take Ramona with me, and they were very thankful and happy with the idea.
It has been another wild adventure. Before visiting the school I tried to think a lot about what to expect, to be ready. I didn’t know much about the place. But I did know I wanted to volunteer there because they had kids from 2 to 5 years old. That’s the age group with which I have the most experience as a teacher and I thought I would be able to help the most.
The first day me and Ramona when there at 9 am. We met the 2 teachers and the cleaning lady. They were really friendly and nice.
And then there were the kids, about 50 kids (they are not sure about the final number yet because enrollment is still open), from ages 2 (some I think are not 2 yet…) to 5.
The school is basically two long buildings with a covered middle area and a little playground next to it. One of the buildings is divided into 2 classrooms, one much bigger then the other. The other building is full of bunk beds.
Here is what a day at the Escolinha looks like:
- 7-8: drop off
- 8-8:30: exercise and play time outside
- 8:30: wash hands, drink water and go inside
- 9-10: snack (tea with milk and bread)
- 10-10:30: free play while the teachers have their snack
- 10:30-11:30: circle time with songs and activities
- 11:30: lunch
- 12-14: nap time
- 14-15: snack (juice and cookies)
- 15-16: pick up
Ramona is having fun. The first moments were a little bit overwhelming for her because some kids wouldn’t stop touching her, especially her hair. But after a while she was just doing her thing, having a snack like the others (even though she found the tea to be too hot! It really was hot!), clapping hands with the songs, etc. So nice to see her interact and enjoy her “first day of school”.
After that we have gone several mornings again. My plan is to try to stay one full day to see how Ramona does lunch and nap there, and decide how often we are going to go. It is so interesting to talk to the teachers there, they are very curious and ask me a lot of questions. I felt both very welcome and helpful from the beginning.
The things that have surprised me the most (aka things that are very different from a preschool in Spain or the USA):
- A lot of kids for only 2 teachers. (Apparently they are going to divide them in 2 groups soon, younger ones and older ones, and that will be more manageable for everyone).
- The only things they have are plastic tables and chairs, hangers for their backpacks, a black board in the big classroom and the bunk beds to nap. No toys. No art supplies. Nothing else.
- The rhythm. Like many things in Mozambique, everything is kind of relaxed, they take their time to go from one activity to the other and the kids just play around, talk, chill and wait.
- Not a lot of organized educational activities.
- The bathrooms. They’re different, in every sense.
- The facilities are not what we would call safe and “kid-proof”. There’s no playground door, there are holes in the floor, no running water, no mosquito screens or nets, …
But, in some ways, it’s better than a typical Spanish or American preschool. And we are going to try to get the most out of it.


Features Overview: Understanding Your Feature Distributions
The Features Overview dashboard of the What-If Tool provides an overview of the distribution of values of each feature in the dataset loaded into the tool. It also provides the same overview for outputs from the model(s) being analyzed by the tool. The dashboard can be found by clicking on the “Features” tab in the What-If Tool.
The dashboard contains two tables: one for numeric features and one for categorical features, along with a control panel. The features are separated into separate tables as the information shown in the tables is different for numeric features versus categorical features. In the tables there is a row for each feature in the dataset. Each row contains some calculated statistics about the values of that feature across the entire dataset, along with a number of charts to show the distribution of values.
Features Tables
For numeric features, these stats in the table include the minimum, maximum, mean (average) values, along with the percentage of values that are ‘0’. For categorical features, they include the number of unique values, and the most frequently-seen value. The tool does some automatic tagging of stats that may be problematic, bolding them and coloring them red, such as a feature with a high number of ‘0’ values.
The right-side of each row contains a chart showing the distribution of values for that feature across the dataset. For numeric features, the default chart to show the distribution is a histogram, and through a drop-down menu above the charts you can change it to a quantile chart.
For categorical features, the type of chart shown depends on the number of unique values of that feature across the dataset. When there are only a small number of unique values, a bar chart is shown. Otherwise, a cumulative distribution function chart is shown, as there wouldn’t be enough room for bars for each unique value. This type of chart shows, from the most frequent value, to the least frequent value, what percentage of total values are represented by each value (and the ones before it). That is why it is a line chart that looks like a curve approaching the Y-axis value of 1 (for 100%). The steeper the initial slope, the more popular the most frequently-seen values are in the dataset. If all values are completely unique, the line will be a straight diagonal line. Additionally, a button next to the charts allows you to toggle from the chart to a data table view showing each feature value and its count in the dataset.
If using the What-If Tool with a dataset provided as tf.Example protocol buffers, each datapoint in the dataset has the ability to have more than one value for each feature. Each feature in a datapoint can contain a list of values, instead of just one. This dashboard provides one further chart for use with these types of datasets. This is a quantiles chart showing the distribution of the lengths of the feature value lists for each datapoint for each feature. In a dataset where each feature has exactly one value, this quantiles chart only contains an entry for the length of ‘1’. But for datasets with variable length feature value lists, this chart can help you understand the distribution of different value list lengths across the dataset.
Model Outputs
In addition to showing statistics and charts for each feature in the dataset, this dashboard also shows those same statistics and charts for model outputs as well. So, for classification models, this can include the predicted class and, for binary classification, the prediction score for the positive class. For regression models, this includes the predicted value of the model. If the ground truth feature is set in the Performance workspace, then rows are also added in this workspace for model correctness. For regression, this includes error statistics such as absolute error for the prediction for each datapoint. For classification, this includes correctness of the prediction for each datapoint. And lastly, if the model returns feature attributions, in addition to predictions, then the attribution values for each model input feature gets its own row as well.
Control Panel
At the top of the Features Overview dashboard is a control panel for the tables. It contains two ways to filter the features shown. A search box can be used to type in features to search for, the checkboxes can be used to hide features based on the type of data they hold.
In the control panel, there is a dropdown menu when you can change the order of the features shown in the tables. The default order, “Feature order” is the order the features were listed in the provided dataset. “Alphabetical” sorts the features alphabetically. “Amount missing/zero” sorts the features by how many of their values in the dataset are either ‘0’ or missing. This can be useful for finding features which are unexpectedly not filled in with valid values. The last sort order is “Non-uniformity” which sorts the features by how non-uniform their distribution is. This can be useful for finding features with unexpected distributions of values, such as one with surprising outlier values that don’t match with the majority of the values in the dataset.


Sends client infromation available via browser API to the BIAL scriptis
Link to blog: Design Studio SDK: Client Information Component


An design assessment provides insights into the security of a device using design documentation. An on-site visit may be required in order to digest the design documentation effectively. The output can be used to improve the security of a device even before it hits the field.
An implementation assessment provides insights into the security of a product using e.g. source code or the device itself. The output includes, among others, description of the approach taken, description of identified vulnerabilities and recommendations to improve the device.
A security workshop (on-site or online) provides a unique hands-on experience where the attendees get exposed to various topics important for hardening embedded devices. It is an effective approach for sharing the output from a design assessment or implementation assessment.
Device Security Expert | Freelance
We provide support for developing, analyzing and testing the security of embedded devices. We are experienced with devices used by various industries such as Automotive, Mobile, Payment, Pay TV and Smart Grid. Support can be provided from an early start during the design phase of the device up to and including the finalized device.
KVK: 75366851


Your Shopping Cart
Subtotal
$0.00
Tax
$0.00
Shipping
$0.00
Total
$0.00
Check Out
Octocat
Outfitters
Cart
← Back
0


The URL for your PRX podcast feed. It's encouraged for podcasters to use a public proxy like feedburner (potentially with a custom domain)
for sharing with listeners. If you already have a public URL for your podcast feed, enter it in the next field, or feel free to
create one.


virus HIV- brain encephalitis (Fig. HIV cells infection multifocal white lesions matter viral viruses changes Neurol immune AIDS leukoencephalopathy Table simplex disease enhancement nervous progressive DNA RNA PML neurocognitive {border-style cell neuronal px;} #ffffff;} HIV-associated infected infections lymphocytic macrophages Brain Fig. Findings myelin Features HIV--infected Neuropathol inflammatory loss neurologic syndrome Imaging MRI-T Virus giant patients â†‘ clinical density human immunodeficiency size antiretroviral basal damage features infiltrates involvement seen (%) CNS Contrast-Enhanced astrocytes atrophy central disorders focal increased multinucleated perivascular possible presence tissue BBB areas cases cerebral cognitive contain cortex dementia herpes nerve neurons proteins reactive uptake â†" â€"% â€¢â€ƒLesions Dis HAART Med Neuropathology Rev brains caused gray imaging mean number replication response specific â€" (PML) (stain: CMV Clin Cytomegalovirus Encephalitis Encephalitis: Herpes Kepler Viral associated blood combination encephalitis, encephalitis: factors impairment increase manifestations meningitis nodules pathogenesis predominantly protein px; reconstitution significant tick-borne volume {font-family â€¢â€‚Encephalitis (Table Clinical FDG HIV--associated HSV Infect Microbiol Neuronal Opportunistic Rep Treatment affected bodies cellular contrast decrease deficits endothelial font-size host infection. involved opportunistic optic persistent regions small subcortical temporal therapy usually vessels â€¢â€‚Human Autoimmune General HIVE Immunol MRI Non-Contrast-Enhanced Opin Pathol Res Tick-borne abnormalities absent. children containing cord cortical decreased deep diffuse diseases double; edema era fibers findings ganglia, inclusion infection) infectious infiltration inflammation inhibitors lesions, matter, microglia microglial mild multiple myelopathy numbers oligodendrocytes reduced severe signs spaces stages stem system. target therapies time (CMV) (Weis .e) ADC Acute CSF Changes HIV-. Immune Infection Macroscopic Microscopic Molecular Neuroimaging Neuropathological Neurovirol Perivascular Periventricular Signs T-cell T-lymphocytes Viruses activated activation agents analysis assembly astrogliosis border-color border-width cases, cause cells, characterized correlated cytoplasm demonstrated diffusion effects entry equine fewer foci genes genome high immunohistochemistry infection: injury kind large lead leukoencephalopathy: lobe lymphocytes morphometric necrosis neuropathological neuropathy nuclei numerical perinatal periventricular permission phase probably reactivation recovery reproduced responses shown shows solid; stress tick tissue. vacuolar {font-style {font-weight (PLI) (a), (a, (d), (e), .f) Activated America Campus, DWI Despite Europe Exp FLAIR Focal GFAP-positive HIV-infected HIV/AIDS HIV: Hospital, Human Incidence Johannes Lesions Loss Low MRI-T/FLAIR Meningitis Microglia Multiple Nature Neuromed Neurosci Nip Nuclear PML, PMLâ€"IRIS Progressive Single-stranded Stain: Switzerland) Symptoms Target University University, Vacuolar Weis [], acquired activities affect and/or autopsy barrier bizarre bold brains: cART capsid cases. complex composed consciousness correlation courier; cytokines data deficiency dendrites depends diagnosis differences differential disability. disease. disorder disturbances drug drugs early effect electron em; encode finding frequent frontal glial gliomesenchymal grid.. hemorrhages herpesvirus hypointense immunohistochemical immunoreactivity include: later lesion limbic located macrophages, matter. mechanisms microglia, million moderate neuroimaging neuropathogenesis neurotoxic nigra nucleus occurs pallor patients, pattern present prevalence primary production productive pt;} receptors reduction related release research restricted result revealed reverse review risk significantly spread studies studyActa survivors symptoms unpublished various â€¢â€ƒThalamus â€¢â€‚HSV- â€¢â€‚Rabies


Gapminder
This visualization tool is about displaying relationship between Life expectancy and GDP Per Capita of the people
in 4 continents which includes 200 countries and showing the transition of them for more than 200 years. The population
of the countries are displayed by using the areas of the circles in the graph. Using the color code of the circles in
the graph, the continents which the countries belonged to can be identified. It will be difficult to plot the large number
of datasets like this without the help of visualization tool. In this project, dataset is stored in json file. The main
idea of this relationship is clearly represented by visualization of how the countries(in this graph) moves from the state
of unhealthy and poor to the state of rich and healthy over a period of time.


Click the button below to asynchronously load JSON data (and images) for the corresponding artist from this JSON file (using the jQuery AJAX method).


|
NEWSVR
|
Script of the main menu interface More...
Public Member Functions | |
| void | DisplayNews (List< News > ln) |
| Generate the notification list. For each news in the db, create a button and add it in the scrollview. If the player already save color preferences, get it and set the button color. If a notification button is pressed, add it to the activation beacon list (StaticClass.newsBeaconedList). More... | |
| void | GoToRegister () |
| Load register scene More... | |
| void | GoToLogin () |
| Load login scene More... | |
| void | GoToSetting () |
| Load setting scene More... | |
| void | GoToDevMode () |
| Load devmode scene More... | |
| void | Play () |
| Load the simulation scene More... | |
| void | NotifSortedByDate () |
| Call when the date button is pressed. Clear the content of the scrollview (notification list). Then display the news order by desc. date (done in the sql request) Database , line 91 More... | |
| void | NotifSortedByDist () |
| Call when the distance button is pressed. Clear the content of the scrollview (notification list). Then display the news order by desc. distance (euclidian) More... | |
| void | NotifSortedByPoularity () |
| Call when the distance button is pressed. Clear the content of the scrollview (notification list). Then display the news order by asc. distance (euclidian) More... | |
| void | NotifSortedByTag () |
| Call when the distance button is pressed. Clear the content of the scrollview (notification list). Then display the news order by selected tag More... | |
| void | ClearNotification () |
| Clear the content of the scrollview by destroying all the button. More... | |
Static Public Attributes | |
| const int | MAX_NOTIF_TO_DISPLAY = 20 |
Script of the main menu interface
Attach to : Scenes/Login/View
| void Assets.Scripts.Menu.MainMenu.ClearNotification | ( | ) |
Clear the content of the scrollview by destroying all the button.
| void Assets.Scripts.Menu.MainMenu.DisplayNews | ( | List< News > | ln | ) |
Generate the notification list. For each news in the db, create a button and add it in the scrollview. If the player already save color preferences, get it and set the button color. If a notification button is pressed, add it to the activation beacon list (StaticClass.newsBeaconedList).
| void Assets.Scripts.Menu.MainMenu.GoToDevMode | ( | ) |
Load devmode scene
| void Assets.Scripts.Menu.MainMenu.GoToLogin | ( | ) |
Load login scene
| void Assets.Scripts.Menu.MainMenu.GoToRegister | ( | ) |
Load register scene
| void Assets.Scripts.Menu.MainMenu.GoToSetting | ( | ) |
Load setting scene
| void Assets.Scripts.Menu.MainMenu.NotifSortedByDate | ( | ) |
Call when the date button is pressed. Clear the content of the scrollview (notification list). Then display the news order by desc. date (done in the sql request) Database , line 91
| void Assets.Scripts.Menu.MainMenu.NotifSortedByDist | ( | ) |
Call when the distance button is pressed. Clear the content of the scrollview (notification list). Then display the news order by desc. distance (euclidian)
| void Assets.Scripts.Menu.MainMenu.NotifSortedByPoularity | ( | ) |
Call when the distance button is pressed. Clear the content of the scrollview (notification list). Then display the news order by asc. distance (euclidian)
| void Assets.Scripts.Menu.MainMenu.NotifSortedByTag | ( | ) |
Call when the distance button is pressed. Clear the content of the scrollview (notification list). Then display the news order by selected tag
| void Assets.Scripts.Menu.MainMenu.Play | ( | ) |
Load the simulation scene


[§554C-12] Short title. This chapter may be cited as the "Hawaii Uniform Prudent Investor Act". [L 1997, c 26, pt of §1]


To get collapsible panels create an accordion
tag. This contains the attribute close-others
, which if set to true
will close other panels, and if set to false
will close only individual panels.
Add the required number of panels underneath by adding accordion-group
elements. These have attribute heading
to provide the heading for that panel. An accordion-group
element can also have an is-open
attribute, which if set to true
will keep the panel open initially. The accordion-group
can have the panel-body content within the tags.


---
layout: post
title: "Casino Royale teaser"
---
I'm pretty impressed by this, it doesn't show an awful lot but I might actually have to go out and see Casino Royale. Daniel Craig looks like he might pull it off.
Link on YouTube if the video doesn't work embedded.


Hashes
# Constructor
hash = Hash.new("nil") # => {}
hash = Hash.new # => {}
hash.default = "nil"
# Operators
Hash Index hash[key]
(default value if out of bounds)
# Iterators
Each Key .each_key
Each Value .each_value
Select .select
Map .collect, .map
Delete .delete()
Array and Hash in Ruby helps programmers to efficiently manage data.
Array and Hash both are able to store multiple types of data inluding boolean (t/f), numbers and text.
The main difference between Array [ ] and Hash { } are the symbols to create and its flexibility. Hash { } needs a key and a value.
Examples:
array = [true, 1, 2.0, "Hello", "bye"]
array.each { |x| puts "#{x}" }
hash = {tiger: "land", whale: "sea", eagle: "air"}
hash.each { |x, y| puts "#{x}: #{y}" }
As you can see .each on examples, there are numerous Enumerable classes that can be connected to array and hash.
These enumerable classes such as .length, .size, .upcase , ETC. allow user to manipulate the output results.
I found this website to great resource to see different classes
Link: Dev Docs
Arrays
# Constructor
array = Array.new # => []
array = Array.new(3) # => [nil,nil,nil]
array = Array.new(3, x) # => [x,x,x]
copy = Array.new(array) # => [x,x,x]
# Operators
Concatenate +
Append <<
Repeat *
Subtract -
Union |
Intersection &
Array Index array[0]
Subarray Index array[3, length]
Subarry Index array[3..5]
(nil if out of bounds)
Strings
# Operators
Interpolate "#{string}"
Concatenate +
Append <<
Repeat *
Character Index string[0]
Substring Index string[3, length]
Substring Index string[3..5]
(nil if out of bounds)
# Iterators
Each Character .each_char
Each Line .each_line
Delete .delete()


[CSS]
Master Public Info
CPU Type
n/a
CPU Usage
n/a
CPU Temperature
n/a
Board Type
n/a
OS Type
n/a
HD Usage (
n/a
)
0%
RAM Usage (
n/a
)
0%
Reboot
Install Node
Network & Connections
Machine Name
n/a
Network Devices List
0
Interfaces
0
Connections List (
Refresh
)
0
Nodes & Services
Service List
0
Nodes List
0
[SCRIPTS]


Iterator over the elements of the sparse vector-dense vector outer product expression. More...
#include <SVecTDVecMultExpr.h>
Public Types | |
| typedef ValueIndexPair< ElementType > | Element |
| Element type of the sparse matrix expression. | |
| typedef ConstIterator_< RemoveReference_< LeftOperand > > | IteratorType |
| Iterator type of the sparse vector expression. | |
| typedef ET2 | RightElement |
| Element type of the dense vector expression. | |
| typedef std::forward_iterator_tag | IteratorCategory |
| The iterator category. | |
| typedef Element | ValueType |
| Type of the underlying pointers. | |
| typedef ValueType * | PointerType |
| Pointer return type. | |
| typedef ValueType & | ReferenceType |
| Reference return type. | |
| typedef ptrdiff_t | DifferenceType |
| Difference between two iterators. | |
| typedef IteratorCategory | iterator_category |
| The iterator category. | |
| typedef ValueType | value_type |
| Type of the underlying pointers. | |
| typedef PointerType | pointer |
| Pointer return type. | |
| typedef ReferenceType | reference |
| Reference return type. | |
| typedef DifferenceType | difference_type |
| Difference between two iterators. | |
Public Member Functions | |
| ConstIterator (IteratorType it, RightElement v) | |
| Constructor for the ConstIterator class. | |
| ConstIterator & | operator++ () |
| Pre-increment operator. More... | |
| const Element | operator* () const |
| Direct access to the sparse matrix element at the current iterator position. More... | |
| const ConstIterator * | operator-> () const |
| Direct access to the sparse matrix element at the current iterator position. More... | |
| ReturnType | value () const |
| Access to the current value of the sparse element. More... | |
| size_t | index () const |
| Access to the current index of the sparse element. More... | |
| bool | operator== (const ConstIterator &rhs) const |
| Equality comparison between two ConstIterator objects. More... | |
| bool | operator!= (const ConstIterator &rhs) const |
| Inequality comparison between two ConstIterator objects. More... | |
| DifferenceType | operator- (const ConstIterator &rhs) const |
| Calculating the number of elements between two expression iterators. More... | |
Private Attributes | |
| IteratorType | it_ |
| Iterator over the elements of the left-hand side sparse vector expression. | |
| RightElement | v_ |
| Element of the right-hand side dense vector expression. | |
Iterator over the elements of the sparse vector-dense vector outer product expression.
|
inline |
Access to the current index of the sparse element.
|
inline |
Inequality comparison between two ConstIterator objects.
| rhs | The right-hand side expression iterator. |
|
inline |
Direct access to the sparse matrix element at the current iterator position.
|
inline |
Pre-increment operator.
|
inline |
Calculating the number of elements between two expression iterators.
| rhs | The right-hand side expression iterator. |
|
inline |
Direct access to the sparse matrix element at the current iterator position.
|
inline |
Equality comparison between two ConstIterator objects.
| rhs | The right-hand side expression iterator. |
|
inline |
Access to the current value of the sparse element.


Thousands of recipes for you to find exactly what you're craving! We have found some of the best recipies on the internet. If you can imagine it we have it from Elvis Presley's Hot Peanut Butter and Banana Sandwich to Lobster Galette
A healthy lifestyle involves many choices. Among them, choosing a balanced diet or healthy eating plan. We here at Secret Ingredient make it easy and list the nutrional value of all of our recipes.
Here at Secret Ingredient we know time is valuable so weve made it easy for you to find that local grocery store or mom and pop shop that may have those harder to find items like dried morel mushrooms, pink himalayan salt or escarole.
If you have any questions please get in touch with us.


Name
cx:until-unchanged — Iterates to a fixed point.
Synopsis
<cx:until-unchanged
name? = NCName>
(p:output?,
p:log?,
subpipeline)
</cx:until-unchanged>>
Description
The cx:until-unchanged
step is an extension compound
step. There's no provision in the language for defining these steps, but that
doesn't mean implementors can't.
On the first iteration, the cx:until-unchanged
step
provides (on the #current
port) the document that it
reads from the default readable port[2] to the subpipeline it contains.
The subpipeline must produce exactly one output document on
cx:until-unchanged
’s single output port.
On the second and subsequent iterations, the result of the preceding
iteration is provided on the #current
port.
Iteration continues until the document produce is
deep-equal
to the document produced on the
previous iteration.
Here's a trivial example:
<p:declare-step xmlns:p="http://www.w3.org/ns/xproc"
xmlns:cx="http://xmlcalabash.com/ns/extensions"
name="main" version="1.0">
<p:input port="parameters" kind="parameter"/>
<p:output port="result" sequence="true" primary="true"/>
<p:identity name="id">
<p:input port="source">
<p:inline><doc>1</doc></p:inline>
</p:input>
</p:identity>
<cx:until-unchanged>
<p:output port="result"/>
<p:xslt>
<p:input port="stylesheet">
<p:inline>
<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
xmlns:xs="http://www.w3.org/2001/XMLSchema"
exclude-result-prefixes="xs"
version="2.0">
<xsl:template match="doc">
<xsl:variable name="count" select="xs:integer(.)"/>
<xsl:choose>
<xsl:when test="$count < 5">
<doc><xsl:value-of select="$count+1"/></doc>
</xsl:when>
<xsl:otherwise>
<xsl:sequence select="."/>
</xsl:otherwise>
</xsl:choose>
</xsl:template>
</xsl:stylesheet>
</p:inline>
</p:input>
</p:xslt>
</cx:until-unchanged>
</p:declare-step>
The stylesheet adds one to the integer value of the document that it is styling as long as the value is less than 5.
The result of running this pipeline is that the stylesheet is run five times, producing documents with the “values” 2, 3, 4, 5, 5. At that point the loop terminates and the last document,
<doc>5</doc>
is returned.
[2]Yes, it's a bug
that there's no equivalent of p:iteration-source
for this
step.


About Me
Hi, I am Sefa Burak OKCU ,
I’m currently working as a Deep Learning Engineer who designs algorithms for Computer Vision problems. In addition, I’ve completed Master of Science in Cognitive Science Department at Orta Doğu Teknik Üniversitesi(ODTÜ) recently.
I love learning new things and sharing them with others. That is why I started a blog. I am improving myself in Deep Learning and Software Engineering, I will share my experience here. Also, I will add some tutorials and projects which are based on Deep Learning.
If you have any question or want to learn about me, you can reach me on linkedin.
Software/Deep Learning Engineer, Aselsan Inc.
July, 2018 — present
-Designing resource constraint high-performance Deep Learning algorithms for object detection, attribute analysis
-Following state-of-the-art algorithms and publishing research papers and patents
-Writing documents for products and software
-Working on full ML pipeline(from preparing dataset to deploying/monitoring ML models)
-Utilizing Elasticsearch, Kibana, Flask for deploying algorithms for production
-Containerizing applications using Docker
Master of Science in Cognitive Science, Orta Doğu Teknik Üniversitesi(ODTÜ)
September, 2020 — January, 2023
-Studied on Multi-task Learning(MTL) and Continual Learning(CL)
-Designed a MTL model for face detection and facial landmark extraction
-Compared different CL methods for face analysis tasks such as age, gender, emotion, and face recognition
-Thesis:"Brain-inspired learning for face analysis in artificial neural networks:A multitask and continual learning framework"
Bachelor of Science in Electrical and Electronics Engineering, Orta Doğu Teknik Üniversitesi(ODTÜ)
September, 2013 — June, 2018
-Specialization Field-Control Area
-Additional Courses:Data Structures, Introduction to Computer Networks
Undergraduate Student Researcher, Orta Doğu Teknik Üniversitesi(ODTÜ)
March, 2016 — March, 2018
-Automated Attendance System Using Face Recognition
-Developed an automated attendance system by using face recognition using Tensorflow
-Deep Learning based algorithms for face recognition
-Applied different data augmentations for imitating real-life scenes
-Developed a software product for users such as professors
Engineering Intern, Aselsan Inc.
June, 2017 — July, 2017
-Compared different face detection algorithms
-Analyzed different datasets for face detection task
-Tested different algorithms and presented to the team
-Documented results and software


replacement by so-called “network appliances”, stripped-down terminals that would get all their content from the Internet. Steve kept the project internally but made it evolve into a new consumer desktop computer, the iMac (the i stood for Internet). For the looks of the box, he turned to one of Apple’s in-house designer, a soft- spoken Englishman named Jonathan Ive. Ive had joined the company before Steve came back, but it was the interim CEO who made him head of the industrial design team.
But Apple’s biggest hit was yet to come. When Steve came back at Apple, a team was working on a so-called NC machine, for “network computer.” It was commonly thought at the time that personal computers were living their last days before their complete
Steve unveiled the iMac on May 6 1998, at the Flint Center auditorium in Cupertino, in the same room where he had unveiled Macintosh some fourteen years


All Files (86.89% covered at 1.81 hits/line)
20 files in total.
122 relevant lines.
106 lines covered and
16 lines missed
Controllers (100.0% covered at 1.45 hits/line)
3 files in total.
11 relevant lines.
11 lines covered and
0 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| app/controllers/application_controller.rb | 100.0 % | 3 | 2 | 2 | 0 | 1.0 |
| app/controllers/countries_controller.rb | 100.0 % | 11 | 5 | 5 | 0 | 1.6 |
| app/controllers/regions_controller.rb | 100.0 % | 10 | 4 | 4 | 0 | 1.5 |
Models (100.0% covered at 1.43 hits/line)
3 files in total.
36 relevant lines.
36 lines covered and
0 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| app/models/application_record.rb | 100.0 % | 3 | 2 | 2 | 0 | 1.0 |
| app/models/country.rb | 100.0 % | 4 | 3 | 3 | 0 | 1.0 |
| app/models/region.rb | 100.0 % | 62 | 31 | 31 | 0 | 1.5 |
Mailers (0.0% covered at 0.0 hits/line)
1 files in total.
4 relevant lines.
0 lines covered and
4 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| app/mailers/application_mailer.rb | 0.0 % | 4 | 4 | 0 | 4 | 0.0 |
Helpers (100.0% covered at 1.0 hits/line)
1 files in total.
1 relevant lines.
1 lines covered and
0 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| app/helpers/application_helper.rb | 100.0 % | 2 | 1 | 1 | 0 | 1.0 |
Jobs (0.0% covered at 0.0 hits/line)
1 files in total.
2 relevant lines.
0 lines covered and
2 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| app/jobs/application_job.rb | 0.0 % | 2 | 2 | 0 | 2 | 0.0 |
Libraries (100.0% covered at 0.0 hits/line)
0 files in total.
0.0 relevant lines.
0.0 lines covered and
0.0 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|
Ungrouped (85.29% covered at 2.25 hits/line)
11 files in total.
68 relevant lines.
58 lines covered and
10 lines missed
| File | % covered | Lines | Relevant Lines | Lines covered | Lines missed | Avg. Hits / Line |
|---|---|---|---|---|---|---|
| app/channels/application_cable/channel.rb | 0.0 % | 4 | 4 | 0 | 4 | 0.0 |
| app/channels/application_cable/connection.rb | 0.0 % | 4 | 4 | 0 | 4 | 0.0 |
| app/presenters/currency_presenter.rb | 100.0 % | 11 | 4 | 4 | 0 | 1.5 |
| app/presenters/news_presenter.rb | 100.0 % | 16 | 7 | 7 | 0 | 4.1 |
| app/presenters/travel_notes_presenter.rb | 100.0 % | 15 | 6 | 6 | 0 | 1.5 |
| app/services/advisory_finder.rb | 100.0 % | 13 | 5 | 5 | 0 | 1.4 |
| app/services/conversion.rb | 100.0 % | 24 | 9 | 9 | 0 | 2.3 |
| app/services/conversion_finder.rb | 100.0 % | 12 | 5 | 5 | 0 | 1.4 |
| app/services/news.rb | 100.0 % | 11 | 5 | 5 | 0 | 9.0 |
| app/services/news_finder.rb | 100.0 % | 12 | 5 | 5 | 0 | 1.4 |
| app/services/travel_requirements.rb | 85.71 % | 29 | 14 | 12 | 2 | 1.6 |


Instructions:
File Preview:
Preview each PLS Plat map image before downloading to your computer by
choosing the "Resampled PDF" link under the View column in the table
above. By previewing the file, you are looking at a smaller, lower resolution version
of the downloadable digital plat map image
File Download:
Files available through the "Download" column in the table above are large
files (average size = 7 MB). Please view each file before downloading using
the "File Preview" instructions above.
When you begin the download process, you will be prompted to save or open
the file - CHOOSE SAVE - NOT OPEN and save the file to a space on your
computer that you will remember. Note that if your connection to the website
is interrupted during the download, you will need to try again and the browser
will start back at the beginning of the download.
Each township's map file has been bundled as described below into a zipped (.zip)
file containing:
- Map file: a PDF file of approximately 7 MBs. Each map covers
a township in Minnesota. When printed this maps are approximately 20x22
inches. The file can be saved on a transferable media (ex. - CD-Rom
or USB memory stick) and taken to a commercial printing shop for full size
printing.
- Metadata: documentation about the map collection.
- NOTICE.TXT: a disclaimer.
- Image_naming.PDF: a PDF file describing the naming convention used for the plat map image collection.
Once you have the .zip file saved onto your computer, you
will need to unzip it to view the individual files. If you are unfamiliar with
opening zipped (.zip) files, please refer to the "Requirements" section below.
Requirements:
PDF Files: Both digital Public Survey Plat Map types
(resampled PDF and full download) available from this site are delivered in PDF
format and require Adobe Acrobat Reader to view. A free copy of Adobe Acrobat
Reader is available on the Internet at: http://www.adobe.com/products/acrobat/readermain.html
Zip Files: These files have been compressed by a
compression program. Two producers of popular compression software programs are
Stuffit and Pkzip / Winzip. If either of these programs is not currently
installed on your computer, free decompression software is readily available on
the internet: www.google.com/search?hl=en&ie=UTF-8&oe=UTF-8&q=free+unzip
|


{% extends "ext/base.html" %} {% block page_title %}Typography - {{ super() }}{% endblock page_title %} {% block content %}
This page lists you major HTML elements and gives you some hints on how to use them.
Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, "and what is the use of a book," thought Alice, "without pictures or conversations?"
So she was considering in her own mind, (as well as she could, for the hot day made her feel very sleepy and stupid,) whether the pleasure of making a daisy-chain would be worth the trouble of getting up and picking the daisies, when suddenly a white rabbit with pink eyes ran close by her.
Use

for line breaks.
All in the golden afternoon
Full leisurely we glide;
For both our oars, with little skill,
By little arms are plied,
While little hands make vain pretence
Our wanderings to guide.
Heading are made of
 to
 tags. You can also use classes with the same
name (.h1
, .h2
, etc.).
Everyone has the right to freedom of opinion and expression; this right includes freedom to hold opinions without interference and to seek, receive and impart information and ideas through any media and regardless of frontiers.
All human beings are born free and equal in dignity and rights. They are endowed with reason and conscience and should act towards one another in a spirit of brotherhood.
To present items in lists, use

and

tags.
To make long quotes, use

tag.
There was only one student in the room, who was bending over a distant table absorbed in his work. At the sound of our steps he glanced round and sprang to his feet with a cry of pleasure: "I've found it! I've found it," he shouted to my companion, running towards us with a test-tube in his hand. "I have found a re-agent which is precipitated by hæmoglobin, and by nothing else." Had he discovered a gold mine, greater delight could not have shone upon his features.
A Study in Scarlet by Arthur Conan Doyle
To show some code, use

tag.
static void nf_conntrack_double_unlock(unsigned int h1, unsigned int h2) { h1 %= CONNTRACK_LOCKS; h2 %= CONNTRACK_LOCKS; spin_unlock(&nf_conntrack_locks[h1]); if (h1 != h2) spin_unlock(&nf_conntrack_locks[h2]); }

and

<dfn>

and

and
clear
or with
Ctrl+l shortcut.

and
<q>
Default oneor
Germanor evenone
embeded quotes
with another language
.Lorem ipsum dolor sit amet, consectetur adipiscing elit. In egestas eget sapien et sagittis. Suspendisse lacinia non ligula vulputate consequat. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Fusce luctus hendrerit bibendum. Mauris nec nisi purus. Sed et posuere ante. Duis interdum vulputate imperdiet. Nullam condimentum condimentum lectus a convallis.
Cras lacus ligula, aliquet rutrum eros in, pharetra tempus dolor. Quisque ut consequat nisi, id facilisis nunc. Morbi tellus quam, lacinia vitae elit eget, maximus commodo tellus. Praesent tempor, purus et egestas bibendum, magna dolor congue nisi, nec dapibus lacus nunc id velit. Phasellus elit odio, sagittis vel purus sit amet, sollicitudin varius nisi. Fusce rhoncus pharetra commodo. Donec posuere ex facilisis pellentesque fringilla. Pellentesque hendrerit orci vel odio lobortis, vitae luctus nunc fermentum. Nullam laoreet orci vel eros rhoncus finibus.
Nulla pretium libero ac condimentum elementum. Duis rutrum magna vel feugiat fringilla. Nullam porttitor orci at lacus posuere luctus. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam scelerisque interdum dapibus. Ut sit amet diam venenatis, lobortis neque id, pulvinar tellus. Vestibulum vel placerat diam, nec vehicula ipsum. Mauris in tortor nunc. Sed ac ligula eu enim mattis sodales. Nullam neque ante, tempor eget pulvinar sit amet, porttitor quis ante. Phasellus vitae dui ut lorem efficitur condimentum. Nullam facilisis iaculis arcu quis varius. Donec lorem sem, faucibus a accumsan nec, venenatis a purus. Sed pellentesque nisi tortor, quis aliquet eros lacinia quis.
 Donec sed odio quis justo euismod ultricies tempus et risus. Etiam interdum tristique metus id aliquam. Proin euismod arcu et lacus consequat, eget malesuada diam accumsan. Morbi at porta lacus. Aenean id ex elit. Proin bibendum, libero pretium euismod hendrerit, ante ligula vestibulum mi, ut lobortis urna eros id enim. Maecenas aliquet consequat venenatis. Morbi pretium nibh scelerisque nisl pulvinar ullamcorper. Aenean ultricies eget lacus sed volutpat.
{% endblock content %}


KeyValuePair<K, V> Class
This class represents a pair of two objects, used by LinkedHashMap to store a {key, value} in a list.
Constructors
Code new KeyValuePair(key, value) #
KeyValuePair(this.key, this.value) {}
Fields
Code final key #
final K key;
Code var value #
V value;


# coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
import collections
import abc
import numpy as np
from pymatgen.core.spectrum import Spectrum
from pymatgen.util.plotting import add_fig_kwargs
"""
This module implements core classes for calculation of diffraction patterns.
"""
__author__ = "Shyue Ping Ong"
__copyright__ = "Copyright 2012, The Materials Project"
__version__ = "0.1"
__maintainer__ = "Shyue Ping Ong"
__email__ =<EMAIL_ADDRESS>__date__ = "5/22/14"
[docs]class DiffractionPattern(Spectrum):
"""
A representation of a diffraction pattern
"""
XLABEL = "$2\\Theta$"
YLABEL = "Intensity"
def __init__(self, x, y, hkls, d_hkls):
"""
Args:
x: Two theta angles.
y: Intensities
hkls: [{"hkl": (h, k, l), "multiplicity": mult}],
where {"hkl": (h, k, l), "multiplicity": mult}
is a dict of Miller
indices for all diffracted lattice facets contributing to each
intensity.
d_hkls: List of interplanar spacings.
"""
super(DiffractionPattern, self).__init__(x, y, hkls, d_hkls)
self.hkls = hkls
self.d_hkls = d_hkls
[docs]class AbstractDiffractionPatternCalculator(abc.ABC):
"""
Abstract base class for computing the diffraction pattern of a crystal.
"""
# Tolerance in which to treat two peaks as having the same two theta.
TWO_THETA_TOL = 1e-5
# Tolerance in which to treat a peak as effectively 0 if the scaled
# intensity is less than this number. Since the max intensity is 100,
# this means the peak must be less than 1e-5 of the peak intensity to be
# considered as zero. This deals with numerical issues where systematic
# absences do not cancel exactly to zero.
SCALED_INTENSITY_TOL = 1e-3
[docs] @abc.abstractmethod
def get_pattern(self, structure, scaled=True, two_theta_range=(0, 90)):
"""
Calculates the diffraction pattern for a structure.
Args:
structure (Structure): Input structure
scaled (bool): Whether to return scaled intensities. The maximum
peak is set to a value of 100. Defaults to True. Use False if
you need the absolute values to combine XRD plots.
two_theta_range ([float of length 2]): Tuple for range of
two_thetas to calculate in degrees. Defaults to (0, 90). Set to
None if you want all diffracted beams within the limiting
sphere of radius 2 / wavelength.
Returns:
(DiffractionPattern)
"""
pass
[docs] def get_plot(self, structure, two_theta_range=(0, 90),
annotate_peaks=True, ax=None, with_labels=True,
fontsize=16):
"""
Returns the diffraction plot as a matplotlib.pyplot.
Args:
structure: Input structure
two_theta_range ([float of length 2]): Tuple for range of
two_thetas to calculate in degrees. Defaults to (0, 90). Set to
None if you want all diffracted beams within the limiting
sphere of radius 2 / wavelength.
annotate_peaks: Whether to annotate the peaks with plane
information.
ax: matplotlib :class:`Axes` or None if a new figure should be created.
with_labels: True to add xlabels and ylabels to the plot.
fontsize: (int) fontsize for peak labels.
Returns:
(matplotlib.pyplot)
"""
if ax is None:
from pymatgen.util.plotting import pretty_plot
plt = pretty_plot(16, 10)
ax = plt.gca()
else:
# This to maintain the type of the return value.
import matplotlib.pyplot as plt
xrd = self.get_pattern(structure, two_theta_range=two_theta_range)
for two_theta, i, hkls, d_hkl in zip(xrd.x, xrd.y, xrd.hkls, xrd.d_hkls):
if two_theta_range[0] <= two_theta <= two_theta_range[1]:
print(hkls)
label = ", ".join([str(hkl["hkl"]) for hkl in hkls])
ax.plot([two_theta, two_theta], [0, i], color='k',
linewidth=3, label=label)
if annotate_peaks:
ax.annotate(label, xy=[two_theta, i],
xytext=[two_theta, i], fontsize=fontsize)
if with_labels:
ax.set_xlabel(r"$2\theta$ ($^\circ$)")
ax.set_ylabel("Intensities (scaled)")
if hasattr(ax, "tight_layout"):
ax.tight_layout()
return plt
[docs] def show_plot(self, structure, **kwargs):
"""
Shows the diffraction plot.
Args:
structure (Structure): Input structure
two_theta_range ([float of length 2]): Tuple for range of
two_thetas to calculate in degrees. Defaults to (0, 90). Set to
None if you want all diffracted beams within the limiting
sphere of radius 2 / wavelength.
annotate_peaks (bool): Whether to annotate the peaks with plane
information.
"""
self.get_plot(structure, **kwargs).show()
[docs] @add_fig_kwargs
def plot_structures(self, structures, fontsize=6, **kwargs):
"""
Plot diffraction patterns for multiple structures on the same figure.
Args:
structures (Structure): List of structures
two_theta_range ([float of length 2]): Tuple for range of
two_thetas to calculate in degrees. Defaults to (0, 90). Set to
None if you want all diffracted beams within the limiting
sphere of radius 2 / wavelength.
annotate_peaks (bool): Whether to annotate the peaks with plane
information.
fontsize: (int) fontsize for peak labels.
"""
import matplotlib.pyplot as plt
nrows = len(structures)
fig, axes = plt.subplots(nrows=nrows, ncols=1, sharex=True,
squeeze=False)
for i, (ax, structure) in enumerate(zip(axes.ravel(), structures)):
self.get_plot(structure,
fontsize=fontsize, ax=ax, with_labels=i == nrows - 1,
**kwargs)
spg_symbol, spg_number = structure.get_space_group_info()
ax.set_title("{} {} ({}) ".format(structure.formula, spg_symbol,
spg_number))
return fig
[docs]def get_unique_families(hkls):
"""
Returns unique families of Miller indices. Families must be permutations
of each other.
Args:
hkls ([h, k, l]): List of Miller indices.
Returns:
{hkl: multiplicity}: A dict with unique hkl and multiplicity.
"""
# TODO: Definitely can be sped up.
def is_perm(hkl1, hkl2):
h1 = np.abs(hkl1)
h2 = np.abs(hkl2)
return all([i == j for i, j in zip(sorted(h1), sorted(h2))])
unique = collections.defaultdict(list)
for hkl1 in hkls:
found = False
for hkl2 in unique.keys():
if is_perm(hkl1, hkl2):
found = True
unique[hkl2].append(hkl1)
break
if not found:
unique[hkl1].append(hkl1)
pretty_unique = {}
for k, v in unique.items():
pretty_unique[sorted(v)[-1]] = len(v)
return pretty_unique


----------------------------- Bio -----------------------------
My name is Saul Greene and I am 24 years old.
I live in Seattle Washington, more specifically, Seward Park.
Some of my favorite things to do include snowboarding, and driving.
Most people look at me like im crazy when I say that I love to drive, however it both relaxes and excites me.
I try to get a drive in at least once a day which has become hard since I started my education at Code Fellows seeing as I now take the light rail and walk.


R/coauth_network.R
coauth_network.Rd
This function creates an edge list for co-authorship networks from a data frame with a list of entities and their publications. The weight of edges can be calculated following different methods. The nodes of the network could be indifferently authors, institutions or countries.
coauth_network( dt, authors, articles, method = c("full_counting", "fractional_counting", "fractional_counting_refined"), cosine_normalized = FALSE )
| dt | The data frame with authors (or institutions or countries) and the list of documents they have published. |
|---|---|
| authors | The column name of the source identifiers, that is the authors (or institutions or countries). |
| articles | The column name of the documents identifiers. |
| method | Method for calculating the edges weights, to be chosen among "full_counting","fractional_counting" or "fractional_counting_refined". |
| cosine_normalized | Possibility to take into account the total number of articles written by two linked authors and to normalize the weight of their link using Salton's cosine. |
A data.table with the authors (or institutions or countries) identifier in from
and to
columns, with a weight
column
whose values depend on the method chosen. It also keeps a copy of from
and to
in the Source
and Target
columns. This is useful is you
are using the tidygraph package then, where from
and to
values are modified when creating a graph.
Weights can be calculated with:
the "full_counting"
method: the linkds between authors correspond to their absolute number of collaborations.
the "fractional_counting"
method which takes into account the number of authors in each article,
following (Perianes-Rodriguez et al. 2016)
equation:
$$\sum_{k = 1}^{M} \frac{a_{ik}.a_{jk}}{n_{k}-1}$$ with M the total number of articles, \(a_{ik}.a_{jk}\)
which takes 1 if author i and j have co-written the article k, and \(n_{k}\) the number of authors for article k.
the fractional_counting_refined
method, inspired by (Leydesdorff and Park 2017)
which is similar to fractional_counting
but which is formalised in a way
that allows the sum of weights to equal the number of articles in the corpus: $$\sum_{k = 1}^{M} \frac{a_{ik}.a_{jk}.2}{n_{k}.(n_{k}-1)}$$.
In addition, it is possible to take into account the total number of collaborations of two linked authors.
If cosine_normalized
is set to True
, the weight calculated with one of the three methods above is divided by
\(\sqrt{C_{i}.C_{j}}\), with \(C_{i}\) being the number of articles co-written by author i.
Leydesdorff L, Park HW (2017).
“Full and Fractional Counting in Bibliometric Networks.”
Journal of Informetrics, 11(1), 117--120.
ISSN 17511577, https://linkinghub.elsevier.com/retrieve/pii/S1751157716303133.
Perianes-Rodriguez A, Waltman L, Van Eck NJ (2016).
“Constructing Bibliometric Networks: A Comparison between Full and Fractional Counting.”


Telephone
Visual media has been my passion for almost 15 years, and it is also the red thread that ties my working life together into one (I think) perfect whole.
The seed was sown in a dark cinema hall many years ago, where a Swedish Silent Films captivated me. As the story also reveals - despite a rather glamorous career - I'm a pretty solid nerd.
I tend to call myself systematically creative, and that is also why I left journalism, which, near the end, had no limits.
With the freedom that programming structures offers me, I feel like a fish in the water. And if I want to, I can someday code a movie.


The sky-tile
directive creates a collapsible container and is the bulding block for pages and forms in a SKY UX application. The sky-tile-section
directive is used to create padded sections inside a sky-tile
element. Additionally, the sky-tile-summary
directive may be placed inside the sky-tile
directive to add summary information to the tile. Any sky-tile
components used within a sky-tile-dashboard
must be included as entry components in the application module.
true
if collapsed, false
otherwise.
SkyTileDashboardConfig
object that populates the tile dashboard.
SkyTileDashboardConfig
when the tile dashboard changes state. This can occur when tiles are collapsed/expanded or when tiles are rearranged via drag and drop.
SkyTileDashboardConfigTile
objects that indicates which tiles are contained in the dashboard. Each SkyTileDashboardConfigTile
has the following properties:
id
The unique identifier for the tile.componentType
The class type for the tile component.providers
An array of data providers that can be passed to the tile.SkyTileDashboardConfigLayout
object that describes the layout of the tile dashboard. The SkyTileDashboardConfigLayout
object contains a singleColumn
property of type SkyTileDashboardConfigLayoutColumn
and a multiColumn
property which is an array of type SkyTileDashboardConfigLayoutColumn
. The singleColumn
layout will display on small screens, while the multiColumn
layout will display on larger screens. The SkyTileDashboardConfigLayoutColumn
object contains an array of SkyTileDashboardConfigLayoutTile
objects which indicate the order of tiles and have the following properties:
id
The identifier for the tile in the dashboard.isCollapsed
A boolean value indicating whether the specific tile is in an expanded or collapsed state.


DHS Group
Your Active Challenges
Fitness Challenge
through April 30
Nutrition Challenge
through May 15
Your Upcoming Challenges
Wellbeing Challenge
start June 1
Your Past Challenges
Fitness Challenge
ended January 31
Nutrition Challenge
ended December 31
~~ replace ~~


3.1. BB module
This module contains the main interface to interact with BlackBoard.
Author: Adrián Revuelta Cuauhtli<EMAIL_ADDRESS>Workplace: Bio-Robotics Lab., UNAM <http://bio-robotics.fi-p-unam.mx>
3.1.1. BB functions
-
pyrobotics.BB.Initialize(port, functionMap={}, asyncHandler=None)
Initializes BlackBoard with the corresponding parameters.
| Parameters: |
- port (int) – The port through which BlackBoard will communicate with this module.
- functionMap (dictionary) –
A dictionary containing key:value pairs, where the key is the name of a command received (a string),
and the value is either a tuple containing a function as a first element and a boolean as a second element, or a function.
The function in both cases is the function that is going to execute the specified command and receives on object of type Command (See Creating a command handler).
The boolean value indicates whether the execution of that command should be synchronous (on the same thread) or asynchronous,
usually synchronous execution is preferred for fast commands that can answer almost immediately and asynchronous for commands that might take a little time.
When the value is only a function, by default the execution is synchronous. functionMap can also contain an entry with a string containing only an asterisk,
meaning that would be the handler in case no other handler is found for a specific command.
Note
Notice that although functionMap can include a wildcard handler and this might seem like the module could answer
anything, BlackBoard will only send commands that are registered under this module’s configuration.
- asyncHandler (function) –
A function that would handle the response of commands when sent with the method Send()
instead of using SendAndWait(). This means the execution of a program that sends a command could continue
and an asynchronous handler would handle the response when one is received.
Note
Notice that the asyncHandler functionality could also be achieved using a ParallelSender object,
but it has other implications.
|
-
pyrobotics.BB.Start()
Once pyRobotics is initialized, you can start the communication with BlackBoard.
This will start the threads of the internal ConnectionManager and CommandParser classes to start listening for
a connection and start receiving and parsin messages.
If pyRobotics is not initialized it will only print a message saying “pyRobotics needs to be initialized before starting”.
A similar message will show when trying to use some of this module’s functions before calling this function.
-
pyrobotics.BB.SetReady(val=True)
Once pyRobotics is initialized and started, this flag should be set to true to
let BlackBoard know that the module is functioning correctly and ready to receive commands.
Even if this module does not receive any commands, this should be set to true.
-
pyrobotics.BB.Wait()
In case this module is only used to receive and respond commands, but is doing nothing while no command is received,
this will prevent the main thread (and therefore BlackBoard connection and commands execution) to terminate.
-
pyrobotics.BB.Send(message)
Sends a command WITHOUT waiting for an answer.
| Parameters: | message (Command) – Message to be sent, must be an instance of the Command class. |
| Returns: | True if the message was sent successfully, False otherwise. |
-
pyrobotics.BB.SendAndWait(command, timeout=300000, attempts=1)
-
pyrobotics.BB.ReadSharedVar(name)
Reads the value of a Shared Variable from the BlackBoard.
| Parameters: | name (string) – The name of the Shared Variable. |
| Returns: | A SharedVar object if the request was successful, False if pyRobotics has not been started, None otherwise. |
-
pyrobotics.BB.CreateSharedVar(sharedVarType, name)
Creates a Shared Variable in BlackBoard.
| Parameters: |
- sharedVarType (enum) – The type of the shared variable, it is one of the constants in SharedVarTypes pseudo-enum.
- name (string) – The name of the shared variable to be created.
|
| Returns: | True if creation was successful, False otherwise.
|
-
pyrobotics.BB.WriteSharedVar(sharedVarType, name, data)
Writes content to a Shared Variable in BlackBoard.
| Parameters: |
- sharedVarType (enum) – The type of the shared variable, it is one of the constants in SharedVarTypes pseudo-enum.
- name (string) – The name of the shared variable to write to.
- data (var) – The data to be written, the type must match the shared variable’s type.
|
| Returns: | True if shared variable was succesfully written to, False otherwise.
|
-
pyrobotics.BB.SubscribeToSharedVar(name, handler, subscriptionType='writeothers', reportType='content')
Subscribes to a Shared Variable in BlackBoard.
When a module subscribes to a shared variable, it gets notifications when someone writes to it.
| Parameters: |
- name (string) – The name of the shared variable to subscribe to.
- handler (function) – A function that will be the handler for this shared variables notification. (See Creating a subscription handler)
- subscriptionType (enum) – The type of subscription, it is one of the constants in SubscriptionTypes pseudo-enum.
- reportType (enum) – The type of report to receive when someone writes to it, it is one of the constants in ReportTypes pseudo-enum.
|
| Returns: | True if subscription was successful, False otherwise.
|


vararg val value: Array<out CordaSerializationTransformRename>
an array of CordaSerializationTransformRename
NOTE: Order is important, new values should always be added before existing
IMPORTANT - Once added (and in production) do NOT remove old annotations. See documentation for more discussion on this point!.
an array of CordaSerializationTransformRename
NOTE: Order is important, new values should always be added before existing
IMPORTANT - Once added (and in production) do NOT remove old annotations. See documentation for more discussion on this point!.


Famous birthdays for Nov. 15: Ed Asner, Shailene Woodley
by UPI StaffNov. 15 (UPI) -- Those born on this date are under the sign of Scorpio.
They include:
-- Pope Nicholas V in 1397
-- British astronomer William Herschel, discoverer of the planet Uranus, in 1738
-- Artist Georgia O'Keeffe in 1887
-- World War II German Gen. Erwin Rommel in 1891
-- TV personality/retired Judge Joseph Wapner in 1919
-- Actor Ed Asner in 1929 (age 90)
-- Author J.G. Ballard in 1930
-- Pop singer Petula Clark in 1932 (age 87)
-- Actor Yaphet Kotto in 1939 (age 80)
-- Actor Sam Waterston in 1940 (age 79)
-- Conductor Daniel Barenboim in 1942 (age 77)
-- Fashion designer Jimmy Choo in 1948 (age 71)
-- Actor Beverly D'Angelo in 1951 (age 68)
-- Wrestler Randy Savage in 1952
-- Musician Kevin Eubanks in 1957 (age 62)
-- Actor Jonny Lee Miller in 1972 (age 47)
-- Rock musician Chad Kroeger in 1974 (age 45)
-- Actor Sean Murray in 1977 (age 42)
-- Golf champion Lorena Ochoa in 1981 (age 38)
-- Actor Winston Duke in 1986 (age 34)
-- Actor Shailene Woodley in 1991 (age 28)


I still believe I gotta believe I still believe I'll always be waiting here That sweet day (that sweet day, yeah!) I still believe......I still believe.... |


In the programming world there is a lot of discussion about which language is the "best" to use. In reality there is no one language that is good for every task. If there was, wouldn't we stop creating new languages? Both Javascript and Ruby are incredibly useful, but for different reasons. They have some overlapping characteristics, but differ in style and functionality.
One big difference between the two is the syntax that you need to use to write in either language. Ruby was created with the developer in mind. Due to this, it is fairly easy to learn the syntax. Ruby is very forgiving with its requirements on punctuation. With ruby you can use () with functions, or you could choose not to. You can space things out, or you can choose not to. The best practices for ruby actually use as little punctuation as possible. This is a pretty typical function definition in Ruby
def hello
puts "Hello"
end
Notice how little punctuation there is? Meaning there is none! Now lets take a look at what you would have to write with JS to do the same thing
var hello = function(){
console.log("Hello");
}
As you can see Javascript requires a lot more syntax to write the code out. This isn't necessarily a bad thing, but it does take some getting used to! (especially if you started with ruby) There are tons of other differences between the two languages, but I feel they c an all be boiled down to the idea that Ruby was made for developers, while JS was made to modify web pages. The JS language has grown and evolved over time to incorporate more user friendly services, but its fundamentally created to serve a purpose of modifying HTML. Ruby was created with the developer in mind so it tends to be easier on the eyes!


{% extends "dlabsite/base.html" %} {% load staticfiles %} {% block description %} "Contibute to science. Participate in studies carried out by the Dosenbach Lab at Washington Univeristy in St. Louis School of Medicine" {% endblock %} {% block title %} Participate {% endblock %} {% block participate %} class="active" {% endblock %} {% block content %}
Below is a list of our ongoing studies. If you would like to participate in one, please click the Join button and fill out the form. We will contact you shortly after reviewing your information.
The clinical research assistant will meet you in the lobby of the East Building.  Questionnaires and other study documents will be completed at this time. If the study in which you’re participating involves MRI scanning, a mock scan may be completed first. This is a simulation of the real MRI scan. It provides you with an opportunity to see the scanning environment and get a better understanding of what a real scan is like. We are then able to determine if you can tolerate lying still for the scan portions of the study. Depending on the study, you may also complete additional motor and neuropsychological assessments.
The study team wants you to be comfortable. Please let us know how we can best accommodate you. We have snacks and drinks available to you. We try to be as flexible as possible with scheduling study visits. In addition, please remember that your participation is entirely voluntary and you may quit at any time or omit portions of the study. We are excited to have you participate!
If you are participating in a study that includes MRI scanning, you will be asked to change into MR compatible, disposable scrubs. Alternatively, you can bring an outfit of your own to be approved by the research assistant. The clothing needs to be 100% cotton (no synthetics), including underwear and socks. Remember to remove all metal from your body, including jewelry and hair accessories.
The MRI scans do not include radiation, sedation, or anesthesia. You will be required to fill out an MRI safety screening questionnaire to determine if it is safe for you to be scanned. The study staff will ensure that you are as comfortable as possible during your scanning session. Earbuds are provided to minimize the sound levels of the scanner and allow voice communication with the scanner operator. You are asked to lie flat on a padded surface with pillows, sheets, and blankets for comfort. You are able to inform the scanner operator of any discomfort during the scan.
During a portion of the scans, you may watch a movie. We have a fairly wide selection of movies from which to choose, you may bring your own movie (no Blu-rays), or choose something from Netflix.
RadiologyInfo.org - RadiologyInfo.org tells you how various x-ray, CT, MRI, ultrasound, radiation therapy and other procedures are performed. It also addresses what you may experience and how to prepare for the exams. The website contains over 200 procedure, exam and disease descriptions covering diagnostic and interventional radiology, nuclear medicine, radiation therapy and radiation safety and is updated frequently with new information. All material on the RadiologyInfo.org website is reviewed and approved by experts in the field of radiology from the ACR and RSNA, as well as other professional radiology organizations.


Collection
variables made by using the collection class as a type,
rather than an appropriate interface. The warning is not issued if weakening the variable type
will cause a compilation error.
Example:
// Warning: concrete collection class ArrayList used.
int getTotalLength(ArrayList<String> list) {
return list.stream().mapToInt(String::length).sum();
}
// No warning, as trimToSize() method is not
// available in the List interface
void addData(ArrayList<String> data) {
data.add("Hello");
data.add("World");
data.trimToSize();
}
A quick-fix is suggested to use the appropriate collection interface (e.g. Collection
, Set
, or List
).


--- layout: post title: How I became a University Professor date: '2012-06-22T09:57:44-05:00' tags: - university - professor permalink: /post/25645093140/how-i-became-a-university-professor ---
I recently got a position as an Adjunct Professor for the University of texas, watch this video to find out how I got the job.
You can follow along with the course in progress here (on my blog!) Databases & Rails Week 1. Thanks for stoping by.


|
||||||||||
| PREV LETTER NEXT LETTER | FRAMES NO FRAMES |
String.CASE_INSENSITIVE_ORDER
as the key comparator.String.CASE_INSENSITIVE_ORDER
as the key comparator.name
exists
in this tuple or not, if so, returns its index.
aFolder
.
Class
, put sub-classes
in front of super-classes.Tuple
in this BigTupleList
Tuple
which
contains the exact same data of this one.
Iterator
with Closeable
.Dataset
.columnName
in the dataset
.
columns
from a dataset
Counts
or Max
.DataJoinKey
other
.
ComputedColumns
for this dataset.
ComputedColumns
of this dataset, if any.
ComputedColumns
specified by user.
ComputedColumns
which
will add new column(s) to each row in a dataset.
Dataset
, only
raw within the Dataset
that meet the criteria
can be outputed.
Top.topX
,
the smallest element (head of the heap) is poll
out from the heap.
inputColumn
in a group.Counts
that
counting the number of occurrence of
inputColumn
in a group.
datasets
Dataset
ID processed by a mapper.
|
||||||||||
| PREV LETTER NEXT LETTER | FRAMES NO FRAMES |


TonySax.org
Home
About
Projects
Photos
Contact
Projects
Repositories
All
Public
Private
Sources
Forks
BulmaWebsite
Personal-Website
Checkers
Minimum Spanning Trees
markrjr/StuddyBuddy
apsdr3/SiloHome
SiloHome
Bulma Website
15%
Personal Website
30%
Checkers
60%
Minimum Spanning Trees
75%
Studdy Buddy
90%
Made with Bulma
Website by Tony Sax
The source code is licensed MIT.


I have a keen interest in Gaelic Football. I play for my local club St.Kieran's which is located in West Limerick. My favourite position is centre back I also played football for my school Colaiste na Trocaire
I have a keen interest in Gaelic Football. I play for my local club St.Kieran's which is located in West Limerick. My favourite position is centre back I also played football for my school Colaiste na Trocaire
I play soccer with my local club in Rathkeale. We had a very successful 3 years at the club during my time playing where we won six trophies I usually played either centre midfield, right or centre back. Centre midfield is my favourite position and when I played I always wore the number 8 jersey.


We sell platforms!
- grow web-enabled infrastructures
- deliver best-of-breed partnerships
- synthesize plug-and-play supply-chains
- empower front-end ROI
- incentivize next-generation networks
- drive visionary markets
- strategize 24/7 e-commerce
- monetize world-class ROI


Logged in as
Below are the basic id token details retrieve from the server on a successful login.
keyvalue
num
Logout


--- layout: post published: true title: "The proper way of solving life's problems" permalink: /2013/02/the-proper-way-of-solving-lifes-problems/ date: "2013-02-27 12:27:00" ---
One man vs. his pet hate in life, Oreo cream.


|
Please verify your account!
|
|
|
|
Thanks for signing
up!
|
|
|
|
Your registration is nearly complete, just a few
more steps and you can get started playing our
amazing game. Please verify your account by
pressing the button
below.
Greetings, The DataHunt Team
|
|
|
|
Verify |
|
|
|
|


Legal Disclosure
Information in accordance with Section 5 TMG
Dammwiesenweg 1
69256 Mauer
Contact Information
Telephone: +49<PHONE_NUMBER>9
E-Mail<EMAIL_ADDRESS>Internet address: http://code-better.it
VAT number
VAT indentification number in accorance with Section 27 a of the German VAT act
DE311480948
Disclaimer
Accountability for content
The contents of our pages have been created with the utmost care. However, we cannot guarantee the contents'
accuracy, completeness or topicality. According to statutory provisions, we are furthermore responsible for
our own content on these web pages. In this matter, please note that we are not obliged to monitor
the transmitted or saved information of third parties, or investigate circumstances pointing to illegal activity.
Our obligations to remove or block the use of information under generally applicable laws remain unaffected by this as per
§§ 8 to 10 of the Telemedia Act (TMG).
Accountability for links
Responsibility for the content of
external links (to web pages of third parties) lies solely with the operators of the linked pages. No violations were
evident to us at the time of linking. Should any legal infringement become known to us, we will remove the respective
link immediately.
Copyright
Our web pages and their contents are subject to German copyright law. Unless
expressly permitted by law, every form of utilizing, reproducing or processing
works subject to copyright protection on our web pages requires the prior consent of the respective owner of the rights.
Individual reproductions of a work are only allowed for private use.
The materials from these pages are copyrighted and any unauthorized use may violate copyright laws.
Quelle: Deutsch-Englisch Übersetzungen


Go to the source code of this file.
Classes | |
| struct | Game |
| struct | WthorGame |
| struct | OkoGame |
Typedefs | |
| typedef struct Game | Game |
| typedef struct WthorGame | WthorGame |
| typedef struct OkoGame | OkoGame |
Functions | |
| void | game_init (Game *) |
| Create an empty game. | |
| void | game_copy (Game *, const Game *) |
| Game copy. | |
| bool | game_get_board (const Game *, const int, Board *) |
| Get the board after 'ply' move. | |
| bool | game_update_board (Board *board, int x) |
| update a board. | |
| bool | game_check (Game *) |
| Check a game. | |
| bool | game_equals (const Game *, const Game *) |
| Test if two games are equal. | |
| void | wthor_to_game (const WthorGame *, Game *) |
| convert a Wthor game to a Game. | |
| void | game_to_wthor (const Game *, WthorGame *) |
| convert a Game to a Whor game. | |
| void | game_read (Game *, FILE *) |
| Read a game from a binary file. | |
| void | game_write (const Game *, FILE *) |
| Write a game to a binary file. | |
| void | game_import_text (Game *, FILE *) |
| Read a game from a text file. | |
| void | game_import_wthor (Game *, FILE *) |
| Read a game from a Wthor file. | |
| void | game_import_ggf (Game *, FILE *) |
| Read a game from the Generic Game Format (ggf) file. | |
| void | game_import_sgf (Game *, FILE *) |
| Read a game from a sgf file. | |
| char * | parse_ggf (Game *, const char *) |
| Parse a ggf game from a string. | |
| void | game_import_pgn (Game *, FILE *) |
| Read a game from a pgn file. | |
| void | game_export_text (const Game *, FILE *) |
| Write a game to a text file. | |
| void | game_export_ggf (const Game *, FILE *) |
| Write a game to the Generic Game Format (ggf) file. | |
| void | game_save_sgf (const Game *, FILE *, const bool) |
| Write a game to the Generic Game Format (ggf) file. | |
| void | game_export_sgf (const Game *, FILE *) |
| void | game_export_pgn (const Game *, FILE *) |
| Write a game to a pgn file. | |
| void | game_export_wthor (const Game *, FILE *) |
| Write a game to a Wthor file. | |
| void | game_export_eps (const Game *, FILE *) |
| Write a game to an eps file. | |
| void | game_export_svg (const Game *, FILE *) |
| void | game_import_oko (Game *, FILE *) |
| Read a game from the "allinf.oko" file. | |
| void | game_import_gam (Game *, FILE *) |
| void | game_rand (Game *, int, struct Random *) |
| Fill a game with some random moves. | |
| int | game_analyze (Game *, struct Search *, const int, const bool) |
| Analyze an endgame. | |
| int | game_complete (Game *, struct Search *) |
| Terminate an unfinished game. | |
| void | line_to_game (const Board *, const Line *, Game *) |
| Build a game from an initial position and a move sequence. | |
| int | game_score (const Game *) |
| Compute the final score of the game, for the initial player. | |
| int | move_from_wthor (int) |
| Coordinates conversion from wthor to edax. |
Header file for game management
| bool game_check | ( | Game * | game | ) |
| void game_export_eps | ( | const Game * | game, |
| FILE * | f | ||
| ) |
Write a game to an eps file.
| game | The input game. |
| f | The file stream. |
| void game_export_ggf | ( | const Game * | game, |
| FILE * | f | ||
| ) |
Write a game to the Generic Game Format (ggf) file.
| game | The output game. |
| f | The file stream. |
| void game_export_pgn | ( | const Game * | game, |
| FILE * | f | ||
| ) |
Write a game to a pgn file.
| game | The input game. |
| f | The file stream. |
| void game_export_sgf | ( | const Game * | , |
| FILE * | |||
| ) |
| void game_export_svg | ( | const Game * | , |
| FILE * | |||
| ) |
| void game_export_text | ( | const Game * | game, |
| FILE * | f | ||
| ) |
Write a game to a text file.
| game | The input game. |
| f | The file stream. |
| void game_export_wthor | ( | const Game * | game, |
| FILE * | f | ||
| ) |
Write a game to a Wthor file.
| game | The input game. |
| f | The file stream. |
Get the board after 'ply' move.
| game | Game. |
| ply | number of move. |
| board | output board. |
| void game_import_gam | ( | Game * | , |
| FILE * | |||
| ) |
| void game_import_ggf | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from the Generic Game Format (ggf) file.
| game | The output game. |
| f | The file stream. |
| void game_import_oko | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from the "allinf.oko" file.
| game | The output game. |
| f | The file stream. |
| void game_import_pgn | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from a pgn file.
| game | The output game. |
| f | The file stream. |
| void game_import_sgf | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from a sgf file.
| game | The output game. |
| f | The file stream. |
| void game_import_text | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from a text file.
| game | The output game. |
| f | The file stream. |
| void game_import_wthor | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from a Wthor file.
| game | The output game. |
| f | The file stream. |
Fill a game with some random moves.
| game | The output game. |
| n_ply | The number of random move to generate. |
| r | The random generator. |
| void game_read | ( | Game * | game, |
| FILE * | f | ||
| ) |
Read a game from a binary file.
| game | The output game. |
| f | The file stream. |
| void game_save_sgf | ( | const Game * | game, |
| FILE * | f, | ||
| const bool | multiline | ||
| ) |
Write a game to the Generic Game Format (ggf) file.
| game | The output game. |
| multiline | A flag to create a long text or a single line. |
| f | The file stream. |
| int game_score | ( | const Game * | game | ) |
Compute the final score of the game, for the initial player.
| game | An input game. |
convert a Game to a Whor game.
The wthor format is famous as all main event games are recorded into this format.
| game | An input game. |
| thor | The wthor output game. |
| bool game_update_board | ( | Board * | board, |
| int | x | ||
| ) |
update a board.
| void game_write | ( | const Game * | game, |
| FILE * | f | ||
| ) |
Write a game to a binary file.
| game | The input game. |
| f | The file stream. |
Build a game from an initial position and a move sequence.
| initial_board | Initial board. |
| line | Move sequence. |
| game | The output game. |
| int move_from_wthor | ( | int | x | ) |
Coordinates conversion from wthor to edax.
| x | wthor coordinate. |
| char* parse_ggf | ( | Game * | game, |
| const char * | string | ||
| ) |
Parse a ggf game from a string.
| game | The output game. |
| string | An input string. |


Popular Areas in constable and night watch men
Origins of the Metropolitan Police: Parish Police
The Charge Book shows the role of watchmen to have been largely similar to that of . at night to keep an eye on watchmen, writing reports for the constables.
http://www.open.ac.uk/Arts/history-from-police-archives/Met6Kt/MetHistory/mhParishPol.html
Ankh-Morpork City Watch - Discworld Wiki
although a crazy man with two swords is . as part of the final stand in Night Watch), .
http://discworld.wikia.com/wiki/Ankh-Morpork_City_Watch
Crime and Punishment in mystery novels
Constables worked under the direction of magistrates. Minor civil officers acted as justices . Night watchmen have a long history. In ancient times the night was .
http://www.historyofthemystery.com/crime_and_punishment.php?page=35
A Short History of the Watch Police - PoliceHistory.com
The Dublin Corporation was authorised to appoint Watchmen and Constables to keep the night Watches and an annual levy of 3d. in the £1 valuation was .
http://www.policehistory.com/watch.html
Looking at History: Development of policing to 1800
Apr 8, 2011 . Watchmen patrolled at night and helped protect against robberies, disturbances and fire reporting to the area constable. In 1326, justices of the .
http://richardjohnbr.blogspot.com/2011/04/development-of-policing-to-1800.html
Watchman (law enforcement) - Wikipedia, the free encyclopedia
Watchmen were groups of men, usually authorised by a state, government, . of Arms of 1252, which required the appointment of constables to summon men to arms, quell . They shall keep the Watch all night from sun setting unto sun rising.
http://en.wikipedia.org/wiki/Watchman_(law_enforcement)


©2020 Murray Lampert. License 458038 Get Our Newsletter
Serving San Diego Since 1975
2851 Camino Del Rio South
Suite 310
San Diego, CA 92108


ZIKV placental cells trimester negative Zika OpenUrl infection anti-ZIKV samples placenta CrossRef villous LRV/ virus women sample Case fetal HCs Hofbauer infected congenital MAb stromal using placentas showing analysis cases (chorion Table RNA antibody case control frondosum) human inside positive pregnancy tissue tissues detected maturation observed sprouts [[#x]] group maternal number used Figure cell chorionic delayed knots H&;E MAb. ZIKV-positive additional amniotic associated findings gestational hyperplasia increase jelly, performed results stained Santos, cells, compared cytotrophoblast decidua delivery dos fibroblastic infection, infection. numbers pathological pregnant syncytial syncytiotrophoblast time used. villitis viral (*) (arrows) IgM Notice View Wharton’s capsular confirmed controls fields immaturity membrane morphometric serum showed specimens Download FFPE HCs, IHC Med. Negative Noronha Placental RT-qPCR Science Virus Web acute anti-flavivirus birth changes chronic clinical cord detection diagnosed different features groups infants inflammatory obtained placenta, presence presented significant slides syndrome transmission umbilical villi villi, villus (ZIKV-negative (arrow) (n=) (n=). Duarte Health Human Infect. Martines, Morphometric Photomicrography Quantification Souza, Syncytial Viral Wharton[[#x]]s ZIKV-infected Zanluca, [[#xBC]]m according analyses. anatomopathological anti-DENV antibodies bars cells. changes, chorion described disorder disorders epithelium fibrosis high-power immunohistochemical immunostained malformations naturally newborns observed. patient) persistence phase reported scale smooth study study, villi.


PC Engines apu coreboot Open Source Firmware v<IP_ADDRESS>
PC Engines apu coreboot Open Source Firmware v<IP_ADDRESS>
Key changes
Mainline:
- Enabled CPU boost feature in runtime configuration. Some platforms seem to have problems with boost thus we decided to make CPU boost runtime configurable.
- We have upgraded to coreboot SDK 1.52 in mainline releases.
- Configured pull-ups on WLAN_DISABLE# pins on the mPCIe connectors which could cause issues with certain modems (e.g. Quectel EP06) when floating.
- Reproducible builds limiation has been eliminated by setting iPXE and Memtest86+ fixed revisions. More details here
- Uploaded SHA256 and signatures of all previous firmware releases. SHA256 files and signatures have been uploaded to pcengines.github.io.
- Fixed microcode update feature, which broke due to the upstream changes in coreboot. More details here
- Added information about ECC memory capability in SMBIOS tables
on 4GB platforms.
Physical Memory Array
structure indmidecode
should reportMulti-bit ECC
inError Correction Type
field. Note: the ECC is present only on 4GB platforms. Check how to verify - Added interrupt configuration entries for PCIe bridge devices 2.4 and 2.5. The interrupt ocnfiguration for 2 PCIe bridges were not programmed in BIOS. Kernel/OS will not always program it by itself, thus rely on BIOS programmed values in case kernel will not handle that.
- Rebased with official coreboot repository commit 7a732b4.
Legacy:
- Enabled CPU boost feature in runtime configuration. Some platforms seem to have problems with boost thus we decided to make CPU boost runtime configurable.
- Reproducible builds limiation has been eliminated by setting iPXE and Memtest86+ fixed revisions. More details here
- Uploaded SHA256 and signatures of all previous firmware releases. SHA256 files and signatures have been uploaded to pcengines.github.io.
Statistics
The chart shows the total files changed from release tag against the rebase point of given release specified in CHANGELOG (CHANGELOG.md and gitlab-ci.yml excluded from statistics). Check the statistics with:
git diff --stat 7a732b4 ':(exclude)gitlab-ci.yml' ':(exclude)CHANGELOG.md'
The chart represents the total line added and deleted on the PC Engines corebootÂ fork against the rebase point for given release. Check the statistics with:
git diff --stat 7a732b4 ':(exclude)gitlab-ci.yml' ':(exclude)CHANGELOG.md'
Two files have not been included in the diff as mentioned above since they are not a part of coreboot tree.
Testing
-
PC Engines hardware configuration matrix - hardware configurations available for testing in 3mdeb laboratory.
-
PC Engines release validation results - please note there are separate sheets for each board-release.
Test changes in this release:
- Added Verify ECC Presence test (1 test-case)
- Added Install Debian amd64 on SATA storage test (2 test-cases)
- Fixed ATA kernel boot time measurement automated test regarding missing tools on the booted OS
- Updated apu5 hardware configuration with
Quectel_EP06
LTE module andWLE1216V5-20
WiFi module - Verified (manually) OPNsense installation on apu3 platform
- Verified that USB modem (TL-WN722N) on apu2 USB3.0 port is initialized correctly
- Verified CPU boost load in terms of hard-locks (38h apu2 stress testing according to blog post method)
- Mainline:
- PASSED: 318 (+12)
- FAILED: 14 (-2)
- PASSED [%]: 95,78% (+0.75%)
- Legacy:
- PASSED: 293 (+11)
- FAILED: 4 (-11)
- PASSED [%]: 98.65% (+3.7%)
The improvement of the PASSED tests coverage results from adding 3 test-cases
and fixing ATA kernel boot time test (resolved #220
issue). The difference in mainline
and legacy
FAILED tests statistics is
caused mainly by XEN tests problems, that are not supported in legacy
testing.
Binaries
Mainline
Legacy
See how to verify the signatures on asciinema


Evolutionary Algorithms (EAs) are
powerful tools used for solving difficult real-world problems. They have
been developed in order to solve some real-world problems that the classical
(mathematical) methods failed to successfully tackle. Many of these unsolved
problems are (or could be turned into) optimization problems. The solving of an
optimization problem means finding solutions that maximize or minimize a
criteria function.
Many Evolutionary Algorithms have
been proposed for dealing with optimization problems. Many solution
representations and search operators have been proposed and tested within a wide
range of evolutionary models. There are several natural questions to be answered
in all these evolutionary models:
What is the optimal population size?
What is the optimal individual representation?
What are the optimal probabilities for applying specific
genetic operators?
What is the optimal number of generations before halting the
evolution?
A breakthrough arose in 1995 when
Wolpert and McReady unveiled their work on No Free Lunch (NFL) theorems
for Search and Optimization. The No Free Lunch theorems
state that all the black-box algorithms have the same average performance over
the entire set of optimization problems. (A black-box algorithm does not take
into account any information about the problem or the particular instance being
solved.) The magnitude of the NFL results stroke all the efforts for developing
a universal black-box optimization algorithm capable of solving all the
optimization problems in the best manner.
In their attempt for solving
problems, men delegated computers to develop algorithms capable of performing
certain tasks. The most prominent effort in this direction is Genetic
Programming (GP), an evolutionary technique used for breeding a population of
computer programs. Instead of evolving solutions for a particular problem
instance, GP is mainly intended for discovering computer programs capable of
solving particular classes of optimization problems. (This statement is only
partially true since the discovery of computer programs may also be viewed as a
technique for solving a particular problem input. For instance, the problem may
be here: "Find a computer program that calculates the sum of the elements of an
array of integers.").
There are many such approaches in
literature concerning GP. Noticeable effort has been dedicated for evolving
deterministic computer programs capable of solving specific problems such as
symbolic regression, classification etc.
Instead of evolving such
deterministic computer programs we will evolve a full-featured evolutionary
algorithm (i.e. the output of our main program will be an EA capable of
performing a given task). Thus, we will work with EAs at two levels:
The first (macro) level consists in a steady-state EA
which uses a fixed population size, a fixed mutation probability, a fixed
crossover probability etc.
The second (micro) level consists in the solutions encoded
in a chromosome of the first level EA.
The rules employed by the evolved EAs
are not preprogrammed. These rules are automatically discovered by the
evolution. The evolved EA is a generational one.
This research was motivated by the
need of answering several important questions concerning Evolutionary
Algorithms. The most important question is
Can Evolutionary Algorithms be
automatically synthesized by using only the information about the problem being
solved?.
And, if yes, which are the genetic operators that have to be used in
conjunction with an EA (for a given problem)? Moreover, we are also interested
to find the optimal (or near-optimal) sequence of genetic operations
(selections, crossovers and mutations) to be performed during a generation of an
Evolutionary Algorithm for a particular problem. For instance, in a standard GA
the sequence is the following: selection, recombination and mutation. But, how
do we know that scheme is the best for a particular problem (or problem
instance)? We better let the evolution to find the answer for us.


BKCameraController Class Reference
| Inherits from | NSObject |
| Declared in | BKCameraController.h |
Tasks
Other Methods
-
delegate
property -
session
property -
position
property -
flashMode
property -
flashCapable
property
Initializing a BKCameraController object
Starting/Stopping Capture Session State
Adjusting Camera Settings
Capturing Photos
Simulator Methods
Properties
delegate
The receiver’s delegate or nil if it doesn’t have a delegate.
@property (nonatomic, weak) id<BKCameraControllerDelegate> delegate
Discussion
For a list of methods your delegate object can implement, see BKCameraControllerDelegate Protocol Reference
Declared In
BKCameraController.h
flashCapable
Whether the current camera has the capability to flash.
@property (nonatomic, assign, readonly) BOOL flashCapable
Declared In
BKCameraController.h
flashMode
The current camera flash mode.
@property (nonatomic, assign, readonly) AVCaptureFlashMode flashMode
Declared In
BKCameraController.h
Class Methods
Instance Methods
autoAdjustCameraToPoint:
Sets the focus and exposure point to the specified point, if supported.
- (void)autoAdjustCameraToPoint:(id)point
Parameters
- point
The point to set the exposure and focus.
Declared In
BKCameraController.h
captureAssetWithCompletion:
Capture a photo and save it, along with its EXIF metadata, to the camera roll.
- (void)captureAssetWithCompletion:(id)completion
Parameters
- completion
A completion block supplying either a valid Asset
or a . Executed on the main thread. - assetURL The Asset URL to the captured media. nil if an error occurred.
- error The error, if a problem occurred during capture.
Declared In
BKCameraController.h
captureSampleWithCompletion:
Capture a photo.
- (void)captureSampleWithCompletion:(id)completion
Parameters
- completion
A completion block supplying either a
or a . Executed on the main thread. - image A CIImage wrapping the sample buffer’s pixel buffer, captured by the camera. nil if an error occurred.
- error The error, if a problem occurred during capture.
Declared In
BKCameraController.h
cycleFlashMode
Cycles through supported flash modes. Skips AVCaptureFlashModeAuto
if the receiver was initialized with autoFlashEnabled
set to NO
.
- (void)cycleFlashMode
Declared In
BKCameraController.h
cyclePosition
Cycles through supported flash modes. If no flash mode at all is supported (such as on the front-facing camera), flashCapable is set to NO
, otherwise YES
.
- (void)cyclePosition
Declared In
BKCameraController.h
initWithInitialPosition:autoFlashEnabled:
Initializes the camera controller using the specified starting parameters.
- (instancetype)initWithInitialPosition:(id)position autoFlashEnabled:(id)enabled
Parameters
- position
The position used to select the initial capture device used by the camera controller. Defaults to
AVCaptureDevicePositionBack
.
- enabled
YES if the camera controller should include
AVCaptureFlashModeAuto
when cycling the flash mode. Defaults toNO
.
Return Value
An initialized BKCameraController
instance.
Declared In
BKCameraController.h