HFRS model incidence data time Hubei spatial series seasonal ARIMA STARIMA analysis difference distribution SD-STARIMA autocorrelation []. values Province models temporal using results space-time used {border-style Fig px;} #ffffff;} model. renal fever prediction Lag order syndrome ;():–. spatiotemporal Average hemorrhagic Hemorrhagic Moving Spatial factors first-order lag ./journal.pone..tTable Fever Integrated Renal Seasonal able autoregressive Autoregressive China. Province, STARMA average case characteristics counties data. moving ACF China Syndrome based function lags number px; shown {font-family ;():– Autocorrelation China, Model Sciences Table Time font-size human modeling models. new outbreaks partial pattern relating space test variables (HFRS) Analysis DIS. INFECT INT Models PACF [–]. coefficient correlation double; fit identify model, seen specific stationary study terms trend trends value (,) BMC Construction Control However, National Regression Research Space-Time according accurate applied better border-color border-width cases conducted constructed different distribution. epidemics forecasting heterogeneity influencing matrix non-stationary observed original paper predicted proposed provided regression series. solid; this, transmission year {font-style {font-weight (SD-STARIMA) ARIMA, Application Cliff Disease Forecasting GeL, Health Index LuL, MED Medicine Meteorological Moran’s Population Province. SD-STARMA Science TROP Weighted Zhongxiang accuracy adjustment. al.Spatiotemporal bold characteristics. climatic collected courier; differences disease distributed does elements em; epidemic epidemics, forecasting. impact level linear meteorological method monthly no. obtained overall points previous pt;} rodent simulation single studies


Planet Coaster is heading to Xbox One
I'm glad someone's bringing these sim titles over
by Jordan DevoreIt's been slim pickings for console players who want to build and run their own theme parks, but that's changing soon, at least for one notable game. Today at Microsoft's X019 event, Frontier Developments announced it's bringing Planet Coaster over to Xbox One. Soak in these RollerCoaster Tycoon vibes.
The port is scheduled for summer 2020, and for now, that's all she wrote.


I will be filming four couples. Each person will be filmed independently. They will be instructed that they will have twenty minutes to say whatever they wish to or about their significant other. Ideally it will be something intimate - a confession or a profession of love.
After I've got audio/video from this that source material will be fed through several different filters leaving it anonymous visually and audibly. The aesthetic for the video will be a wireframe type of look based off the depth read by the kinect. The audio will seek to capture the rhythm and tone of the speech while destroying the content. This footage will then be applied to a monitor.
This will be installed in a room on the fourth floor in sewell. There will be four TVs on the left of the room and four on the right standing on pedestals I will make with the direction of Randall. The scale should be slightly less than bodily. Each pedestal and TV will vary in height/size/appearance. The room will be dark except for the light from the TVs and the entrance. Audio will be soft so you have to be close to the TVs to hear.


Education Financing and Inequality in Sub-Saharan African Countries
How much education funding does one student receive on average?
Education is a form of human capital investment that is central to economic growth and reduce income inequality. This interactive breakdown of public, private and aid expenditures on education aims to examine the impact of such investment on inequality. Click on the bars for more information.
Government
Household
Intl. Aid
Gini(upward)
Gini(downward)
DATA SOURCE: 1. Government expenditure per student, by education level: UNESCO Education Finance 2. Household expenditure education, by education level (re-calculated USD per student): UNESCO IIEP Pôle de Dakar 3.Official development assitance, by education level (re-calculated as USD by student): OECD Creditor Reporting System 5.Gini coefficient: IID-SSA & UNU-WIDER, 'World Income Inequality Database (WIID3c). COUNTRY SELECTION: All countries are selected based on the completeness of their education expenditure data for all three sources.


function showSlide(id) {
I’m implementing the experiment using a data structure that I call a sequence. The insight behind sequences is that many experiments consist of a sequence of largely homogeneous trials that vary based on a parameter. For instance, in this example experiment, a lot stays the same from trial to trial - we always have to present some number, the subject always has to make a response, and we always want to record that response. Of course, the trials do differ - we’re displaying a different number every time. The idea behind the sequence is to separate what stays the same from what differs - to separate code from data. This results in parametric code, which is much easier to maintain - it’s simple to add, remove, or change conditions, do randomization, and do testing.
Things happen in this order:
{{}}
slots that indicate which keys to press for even/odd, and show the instructions slide.experiment.next()
experiment.next()
checks if there are any trials left to do. If there aren’t, it calls experiment.end()
, which shows the finish slide, waits for 1.5 seconds, and then uses mmturkey to submit to Turk.experiment.next()
shows the next trial, records the current time for computing reaction time, and sets up a listener for a key press.experiment.data
array. Then we show a blank screen and wait 500 milliseconds before calling experiment.next()
again.Shows slides. We’re using jQuery here - the $ is the jQuery selector function, which takes as input either a DOM element or a CSS selector string.
function showSlide(id) {
Hide all slides
$(".slide").hide();
Show just the slide we want to show
$("#"+id).show();
}
Get a random integer less than n.
function randomInteger(n) {
return Math.floor(Math.random()*n);
}
Get a random element from an array (e.g., random_element([4,8,7])
could return 4, 8, or 7). This is useful for condition randomization.
function randomElement(array) {
return array[randomInteger(array.length)];
}
var allKeyBindings = [
{"p": "odd", "q": "even"},
{"p": "even", "q": "odd"} ],
allTrialOrders = [
[1,3,2,5,4,9,8,7,6],
[8,4,3,7,5,6,2,1,9] ],
myKeyBindings = randomElement(allKeyBindings),
myTrialOrder = randomElement(allTrialOrders),
pOdd = (myKeyBindings["p"] == "odd");
Fill in the instructions template using jQuery’s html()
method. In particular,
let the subject know which keys correspond to even/odd. Here, I’m using the so-called ternary operator, which is a shorthand for if (…) { … } else { … }
$("#odd-key").text(pOdd ? "P" : "Q");
$("#even-key").text(pOdd ? "Q" : "P");
Show the instructions slide — this is what we want subjects to see first.
showSlide("instructions");
I implement the sequence as an object with properties and methods. The benefit of encapsulating everything in an object is that it’s conceptually coherent (i.e. the data
variable belongs to this particular sequence and not any other) and allows you to compose sequences to build more complicated experiments. For instance, if you wanted an experiment with, say, a survey, a reaction time test, and a memory test presented in a number of different orders, you could easily do so by creating three separate sequences and dynamically setting the end()
function for each sequence so that it points to the next. More practically, you should stick everything in an object and submit that whole object so that you don’t lose data (e.g. randomization parameters, what condition the subject is in, etc). Don’t worry about the fact that some of the object properties are functions — mmturkey (the Turk submission library) will strip these out.
var experiment = {
Parameters for this sequence.
trials: myTrialOrder,
Experiment-specific parameters - which keys map to odd/even
keyBindings: myKeyBindings,
An array to store the data that we’re collecting.
data: [],
The function that gets called when the sequence is finished.
end: function() {
Show the finish slide.
showSlide("finished");
Wait 1.5 seconds and then submit the whole experiment object to Mechanical Turk (mmturkey filters out the functions so we know we’re just submitting properties [i.e. data])
setTimeout(function() { turk.submit(experiment) }, 1500);
},
The work horse of the sequence - what to do on every trial.
next: function() {
If the number of remaining trials is 0, we’re done, so call the end function.
if (experiment.trials.length == 0) {
experiment.end();
return;
}
Get the current trial - shift()
removes the first element of the array and returns it.
var n = experiment.trials.shift();
Compute the correct answer.
var realParity = (n % 2 == 0) ? "even" : "odd";
showSlide("stage");
Display the number stimulus.
$("#number").text(n);
Get the current time so we can compute reaction time later.
var startTime = (new Date()).getTime();
Set up a function to react to keyboard input. Functions that are used to react to user input are called event handlers. In addition to writing these event handlers, you have to bind them to particular events (i.e., tell the browser that you actually want the handler to run when the user performs an action). Note that the handler always takes an event
argument, which is an object that provides data about the user input (e.g., where they clicked, which button they pressed).
var keyPressHandler = function(event) {
A slight disadvantage of this code is that you have to test for numeric key values; instead of writing code that expresses “do X if ‘Q’ was pressed“, you have to do the more complicated “do X if the key with code 80 was pressed“. A library like Keymaster lets you write simpler code like key(‘a’, function(){ alert(‘you pressed a!’) })
, but I’ve omitted it here. Here, we get the numeric key code from the event object
var keyCode = event.which;
if (keyCode != 81 && keyCode != 80) {
If a key that we don’t care about is pressed, re-attach the handler (see the end of this script for more info)
$(document).one("keydown", keyPressHandler);
} else {
If a valid key is pressed (code 80 is p, 81 is q), record the reaction time (current time minus start time), which key was pressed, and what that means (even or odd).
var endTime = (new Date()).getTime(),
key = (keyCode == 80) ? "p" : "q",
userParity = experiment.keyBindings[key],
data = {
stimulus: n,
accuracy: realParity == userParity ? 1 : 0,
rt: endTime - startTime
};
experiment.data.push(data);
Temporarily clear the number.
$("#number").text("");
Wait 500 milliseconds before starting the next trial.
setTimeout(experiment.next, 500);
}
};
Here, we actually bind the handler. We’re using jQuery’s one()
function, which ensures that the handler can only run once. This is very important, because generally you only want the handler to run only once per trial. If you don’t bind with one()
, the handler might run multiple times per trial, which can be disastrous. For instance, if the user accidentally presses P twice, you’ll be recording an extra copy of the data for this trial and (even worse) you will be calling experiment.next
twice, which will cause trials to be skipped! That said, there are certainly cases where you do want to run an event handler multiple times per trial. In this case, you want to use the bind()
and unbind()
functions, but you have to be extra careful about properly unbinding.
$(document).one("keydown", keyPressHandler);
}
}


| Modifier and Type | Class and Description |
|---|---|
class |
OrderableManager<T extends Orderable>
Thread-safe manager for orderable objects which provides convenience methods for accessing the
sorted orderables.
|
| Modifier and Type | Method and Description |
|---|---|
int |
DescendingOrderComparator.compare(Orderable orderable1,
Orderable orderable2) |
| Constructor and Description |
|---|
OrderableManager(Comparator<Orderable> comparator,
boolean allowDuplicates)
Create a manager for orderable items.
|
| Modifier and Type | Class and Description |
|---|---|
class |
LdapUserRepository |
| Modifier and Type | Class and Description |
|---|---|
class |
ActivityContentTypeWidgetExtension
ContentType for activities.
|
class |
ActivityNoteItemTemplateProvider
Returns a specific template when a note is an activity.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ActivityNotePermissionFilter
Permission filter which removes the DELETE permission of notes that are activities and belong to
an activity type which does not allow the deletion.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ActivityNoteStoringPreProcessor
Note storing pre processor which asserts that an activity message can be created.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AliasAndTagLinkRenderer
Implementation of the NoteRenderingPreProcessor which replaces @-notifications and hash-tags with
links for filtering.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BookmarkletToolsPageSection |
| Modifier and Type | Class and Description |
|---|---|
class |
ContentTypeNotePreProcessor
NoteContentProcessor, which extracts the content type out of the note.
|
| Modifier and Type | Class and Description |
|---|---|
class |
RichMediaLinkRendererPreProcessor
Implementation of the NoteRenderingPreProcessor which extracts all links for rich media in a
note.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SmileysNoteRenderingPreProcessor |
| Modifier and Type | Class and Description |
|---|---|
class |
AttachmentContentTypeWidgetExtension
ContentType for attachments.
|
class |
DiscussionContentTypeWidgetExtension
ContentType for discussion/conversations.
|
class |
DocumentContentTypeWidgetExtension
ContentType for documents, like pdf or word.
|
class |
EmbedMediaMetadataProvider |
class |
ImageContentTypeWidgetExtension
ContentType for images.
|
class |
LinkContentTypeWidgetExtension
ContentType for hyperlinks.
|
class |
VideoContentTypeWidgetExtension
ContentType for videos.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
NoteContentRenderingPreProcessor
This pre-processor is called before a note is rendered and thus provides a flexible way for
making additional modifications to the content of a note.
|
interface |
NoteMetadataRenderingPreProcessor
This pre-processor is called before a note is rendered and thus provides a flexible way for
making additional modifications to the metadata of a note.
|
interface |
NoteStoringEditableContentPreProcessor
A preprocessor which is invoked before storing a note.
|
interface |
NoteStoringImmutableContentPreProcessor
A preprocessor which is invoked before storing a note.
|
interface |
NoteStoringPostProcessor
Component for processing a note after it was created or updated.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
PermissionFilter<T,N> |
| Modifier and Type | Class and Description |
|---|---|
class |
AssertCommentPreProcessor
This processor checks for a valid reply.
|
class |
AssertNoteContentNotePreProcessor
Processor, which checks the content syntactically.
|
class |
CreateRepostNoteContentRenderingPreProcessor
PreProcessor that prepares the note content for using it in an editor to create a repost to that
note.
|
class |
CreateRepostNoteMetadataRenderingPreProcessor
PreProcessor that prepares the note metadata for using it in an editor to create a repost to that
note.
|
class |
DiscussionNotificationNoteProcessor
Processor for the @@discussion notation.
|
class |
DiscussionParticipationNotificationNoteProcessor
Processor, which collects users, which want's to be notified about discussions they participated
explicitly without being explicitly notified.
|
class |
EditNotificationNoteStoringPreProcessor |
class |
ExtractBlogsNoteStoringPreProcessor
Preprocessor which searches the content for strings that are syntactically correct blog aliases
and start with an '&' character.
|
class |
ExtractTagsNotePreProcessor
This processor extracts tags from the note content and adds them to the meta data of the note.
|
class |
ExtractUsersNotePreProcessor
This processors extracts the users to be notified from the content.
|
class |
NotificationNoteProcessor
Base class for note post processors that inform users about created and edited notes.
|
class |
RemoveUnsupportedMarkupNotePreProcessor
Processor, which removes any markup from the note content that is not supported/allowed.
|
class |
RepostNoteRenderingPreProcessor
PreProcessor which adds a property to the list item containing the details of a repost if the
note is a repost.
|
class |
RepostNoteStoringPreProcessor
Processor for reposts.
|
class |
TopicNotificationNoteProcessor
Processor which handles topic mention flags.
|
class |
UserNotificationNoteProcessor
Notifies users who were explicitly added to the note.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
ExternalUserRepository |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractExternalUserRepository |
| Modifier and Type | Class and Description |
|---|---|
class |
ConfluenceUserRepository |
| Modifier and Type | Class and Description |
|---|---|
class |
LikeNoteRenderingPreProcessor
Preprocessor for adding information about "Like" to a note.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
NotePermissionFilter
Permission filter for notes.
|
interface |
TopicPermissionFilter
Permission filter for topics.
|
| Modifier and Type | Class and Description |
|---|---|
class |
NoteRolePermissionFilter |
class |
TopicCreateOptionPermissionFilter
Filter for evaluating the
ClientProperty.ALLOW_TOPIC_CREATE_FOR_ALL_USERS option for the
topic create permission. |
class |
TopicRolePermissionFilter
Filter for default permissions of topics.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
CommunoteAuthenticationFilter
Interface to define filters, which could be provided by plugins.
|
interface |
CommunoteAuthenticationProvider
Interface for orderable authentication providers, which could be implemented by plugins.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractCommunoteAuthenticationFilter
Abstract implementation of
CommunoteAuthenticationFilter with order 0 and concrete
methods for getting the AuthenticationManager . |
| Modifier and Type | Interface and Description |
|---|---|
interface |
AttachmentStoringPreProcessor
Processor to process attachments before they will finally be stored.
|
| Modifier and Type | Class and Description |
|---|---|
class |
VirusScannerAttachmentStoringPreProcessor
Internal processor to scan for viruses.
|
| Modifier and Type | Class and Description |
|---|---|
class |
NoteTemplatePermissionFilter
Permission filter which removes the EDIT permission from template notes.
|
class |
TemplateNoteRenderingPreProcessor
RenderingPreProcessor which replaces the content of a template note with the result of the
rendered template that is associated with that note.
|
class |
TemplateNoteStoringPreProcessor
Note storing pre-processor which will set the default content of a template note by rendering the
template with default language and plain text render mode.
|
| Modifier and Type | Class and Description |
|---|---|
class |
UserLimitUserActivationValidator
Tests whether a configurable upper limit for active users is reached.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
UserActivationValidator
The UserActivationValidator will be called before the status of a user is set to active.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
TagStore |
| Modifier and Type | Class and Description |
|---|---|
class |
DefaultTagStore
Base class for TagStore.
|
| Modifier and Type | Class and Description |
|---|---|
class |
StaticPageSection
Holds the details of a section of a static page.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
FaviconProvider
Provider which defines the URL from which a favicon icon can be downloaded.
|
| Modifier and Type | Class and Description |
|---|---|
class |
EnhancedPageSection
Descriptor for sections which defines some additional content elements.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
WidgetExtension<E extends WidgetExtension<E,M>,M extends WidgetExtensionManagement<E,M>>
Marker interface for arbitrary extensions of the server side component of a widget.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CPLNoteActionsProvider
Extension for the
ChronologicalPostListWidget which allows adding or replacing actions of
a note. |
class |
CPLNoteItemTemplateProvider
Extension for the ChronologicalPostList widget which provides means to render the HTML of a note
with another template.
|
class |
CPLNoteMetaDataProvider
Extension for the
ChronologicalPostListWidget which allows adding meta-data to a note
which should be available in the JavaScript frontend, for example in a NoteActionHandler or a
note click handler. |
| Modifier and Type | Class and Description |
|---|---|
class |
ContentTypeWidgetExtension
This class allows to add new content types to Communote, for instance "Video", "Image" or
"Document".
|
| Modifier and Type | Class and Description |
|---|---|
class |
BundleFaviconProvider |
Copyright © 2019 Communote team. All rights reserved.


Nguyễn Trung Kiên
Fullstack Developer
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LOREM IPSUM DOLOR SIT AMET, CONSECTETUR ADIPISICING ELIT. CONSECTETUR CULPA DOLORIBUS
Perfect for CV / Resume or Portfolio Website


Each year has many competitions but only one ring event that year. The robot that you build will be based off that ring event,for that year. The ring event can be anything from: stacking and moving cones, throwing and pushing objects over and under walls, or practically anything within the capableites of a robot. Robot are built in teams of one to four.


H.B. Woodrose & Banisteriopsis caapi
I had some really pleasant and beautiful trips on woodrose seeds in the last few months (every time between 10-20 seeds, depending on the occasion). My experiences so far were also easy to handle (if I compare it to LSD or shrooms), so I decided in my holidays to try a LSA/MAOI combination to boost the trip and make it more 'interesting'...
I placed about 10g of dried Banisteria Caapi plant material in a pot, added some water (0,8 - 1,0 litre) and the juice of a grapefruit (I had no lemons left) to acidify the water. The mixture boiled for 45 min, until only 1/2 cup of liquid was left. After cooling for about 15 min and straining, I drank the stuff at 1:00pm...YUK! Definitely among my Top 10 of REALLY bad tasting drinks.
In the meantime I took 15 H.B. Woodrose seeds, scraped of the furry coating and ground them in a spice mill. The resulting powder was put in capsules, which I intended to take after the caapi effects had started (to be sure, that the caapi had any effects at all and to verify, that the extraction was somewhat successful).
Then I did some easy work in the garden and after 1/2 hour the caapi effects started with a mildly stoned, pleasant feeling, like smoking some weed. At 2:00pm this feeling got some more intense, I also saw some visual distortions, nothing special but interesting. With this light-headed and encouraging feeling I ingested the LSA-capsules together with 1/5 teaspoon of ginger-powder to avoid the nausea (it really works, at least for me).
At 2:30pm the trip started with the typical dizzyness/tiredness. So I smoked some weed while sitting in the sun in my garden (it was a beautiful, warm summer's day) and waited... 1 hour later I began to realize that I have heavily underestimated the power of the two plants, it already was very intense and my mind was pure chaos (and the trip was just about to start :-(
For calming down I played something relaxing on my guitar for a few minutes. This surprisingly turned the trip into another direction, I now felt VERY happy and the plants in the garden were of such beauty which I've never seen before. But this lasted not very long: I suddenly remembered that a few good friends of mine wanted to come for a visit this afternoon (playing cards, talking and stuff, nothing special). I didn't want my friends to know about my experiments, so I thought of calling and telling them that I feel very sick and I want to be alone today (instead of telling them the truth, that I have ruined this meeting by taking 'drugs'). This thought made me feel so ashamed of myself because I haven't seen some of them for a long time and we were all looking forward to this meeting. I decided that I would be able to manage the situation and try to make the best out of it (as mentioned, a bright sunny day, good friends, some weed: the perfect setting, I thought)...
My friends arrived and for no real reason but my twisted mind I felt some sort of terrible guiltiness accompanied by paranoia and fear. I tried to hide it and react as normal as I could. But on the other hand it wouldn't have been a problem to tell them the whole story and that I'm feeling very anxious. I simply wanted to keep the illusion alive that everything is alright and I'm enjoying the afternoon. The next 2 hours were pure horror! I felt attacked by everyone, I thought they would make fun out of me. The only wish I had was to come down and back to reality. I also felt like vomiting but this was the last thing I wanted my friends to wittness this day. As the evening came and my friends had left, I felt much better again, and happy that the trip was nearly over.
I can't really decribe in detail what I felt and what the cause for my paranoia was, but I know, that there was no real reason. This experience was definitely a big warning! Never underestimate the power of this mythical plants and the unpredictable consequences of MAOI-interaction!
As you can see my much-to-heavy-trip ruined a wonderful day and made me panic and paranoid for absolutely no reason but the fear of my illusions. The caapi seemed to amplify the LSA-trip very much, too much for me. This day showed my clearly: those plants are no toys, especially not with this dosage and combination.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


The world’s growing interest in data science is undeniable. One can see this reflected in the increased number of new academic degree and certificate programs, the number of new jobs available for individuals with data science skills, and the rising migration of researchers with computational skills to the private sector. In an effort to channel our efforts, we focus on six major themes around which academic data science discussions coalesce:
- Careers
- Education and Training
- Tools and Software
- Reproducibility and Open Science
- Physical and Intellectual Space
- Data Science Studies
Careers
How do we create and sustain long-term career trajectories for a new generation of scientists whose research depends crucially on the analysis of massive, noisy, and/or complex data and whose work may require substantial curation and/or development efforts? What about those scientists who focus entirely on building next-generation tools that others ultimately use to derive new science? These career paths are currently complicated by strong competition from industry, a tendency by universities to measure productivity using only traditional metrics (e.g., journal publication) that do not reflect the scholar’s full contribution, and a general failure to provide a sufficiently supportive and meaningful environment and culture.
We see persistent, complex, and deep-rooted challenges for the career paths of people whose skills, activities, and work patterns do not fit neatly into the roles and success metrics of traditional academia. However, data science in research universities requires precisely the kind of complex, long-term interdisciplinary work with methodological and engineering efforts that leads to “low performance” under traditional metrics and “slow progress” and “lack of fit” in existing career tracks.
Activities around this theme in the Data Science Environments include the following:
- Defining positions and career tracks (e.g., data science faculty lines, data science fellows)
- Promoting institutional policies that facilitate career development for data scientists
- Building a recognizable data science community across scientific domains
- Promoting mentorship and job satisfaction
Related Links
- BIDS Working Group on Career Paths and Alternative Metrics
- UW eScience Working Group on Career Paths and Alternative Metrics
- Contact information for Working Group leads
Education and Training
Training in data science is needed at all levels in academic research, from the undergraduate student to the tenured faculty member. A major challenge to data science training is that it is inherently multidisciplinary, requiring training in computer science, statistics, applied mathematics, and one or more domain areas. Traditional university curricula do not provide this kind of broad data science training, and often data science courses are relegated to specific departments with no consideration of cross-disciplinary needs.
The Education Working Group is developing ways to use innovative teaching methods and formats to offer both formal and informal training in data science skills at undergraduate, graduate, and professional levels. Viewing education in its widest sense, the aim is to make data science technology and expertise far more accessible both within universities and beyond.
Related Links
- BIDS Education and Training Working Group
- UW eScience Working Group on Education and Training
- Contact information for Working Group leads
Tools and Software
Data-intensive science and data-driven discovery requires an ecosystem of software tools that are openly available, easy to use, and translatable across domains. How can the development, hardening, sustaining, sharing, and integration of techniques into a reusable software infrastructure be recognized and incentivized? There are known obstacles to the development of software tools, including the fact that domain scientists are specifically trained to develop and deliver the advanced software they require and that computer scientists and engineers have little incentive to harden, sustain, share, and integrate novel techniques into a reusable software infrastructure. We are working to remove these obstacles both within the Data Science Environments and in the broader academic community.
Specific goals around this theme include the following:
- Deliver high-impact, usable, and generalizable software for science that does not “reinvent the wheel”
- Promote open source software practices
- Create, strengthen, and deepen connections between tool developers and investigators in data-driven domains
- Promote “matchmaking” between methods/tools and substantive domains
Related Links
- BIDS Working Group on Software Tools and Environments
- UW eScience Working Group on Software Tools and Environments
- Contact information for Working Group leads
Reproducibility and Open Science
The pace of knowledge acquisition in science is impeded by a lack of sharing of the research process in its entirety in addition to all of its outputs. This makes it difficult for researchers to build upon each other’s work and undoubtedly results in some “reinvention of the wheel.” Further, there is increasing scrutiny of publications reporting on “irreproducible results,” which can lead to misinformation and public distrust of science. As we transition to data-intensive scientific discovery, we have the opportunity to address these issues through software tools and practices that support the sharing, preservation, provenance tracking, and reproducibility of data, software, and scientific workflows.
As data-intensive scientific discovery becomes more common, reproducibility and open science becomes both more challenging and more important. Work around this theme includes identifying and promoting repositories for sharing data and workflows, developing techniques to query and analyze shared data and workflows that will facilitate reuse, and creating software tools to better support sharing and reproducibility.
Related links
- BIDS Working Group on Reproducibility and Open Science
- UW eScience Institute Working Group on Reproducibility and Open Science
- Contact information for Working Group leads
Physical and Intellectual Space
Innovative data science is advanced at universities through the creation of high-quality physical spaces that successfully cultivate the “water cooler” effect (i.e., exchange and collaboration), raise the level of prestige for data science and scientists, and are adaptable to a range of activities that can promote data science research and learning. It is also essential that spaces be designed to bring together the data scientists who reside in academic units spread across our (large) campuses. This requires the spaces to be valuable as study, contemplation, development, and individual work areas.
The goal of discussions around this theme include how to design common spaces that encourage collaboration both within and between universities in a setting where stakeholders wear multiple hats and often have their own labs to manage. What events are most successful at bringing in researchers from multiple domains? How can space provide both the means for collaboration and the proper setting for concentration on data-intensive science?
Related Links
- BIDS Working Group on Working Spaces and Culture
- UW eScience Institute Working Group on Working Spaces and Culture
- Contact information for Working Group leads
Data Science Studies
Data Science Studies is a multi-sited working group of cross-disciplinary researchers studying the sociocultural and organizational processes around the emerging practice of data science. As a sub-field of Science and Technology Studies, we utilize a variety of qualitative and computational methods to understand the changing scientific practices, knowledge infrastructures, and cultural values that are shaping the environment for data-intensive scientific research. This encompasses, but is not limited to research focused around topics such as: the cultural and institutional contexts for open science, open software, and open data, tool building and scientific workflow, new pedagogical models for data science education, how disciplines are adapting to the demands of data-intensive science, new epistemologies and social implications of data-intensive science, human-centered data science, and studies of sociotechnical data science ecosystems.
Related Links
- BIDS Working Group on Data Science Studies
- UW eScience Institute Working Group on Data Science Studies
- Contact information for Working Group leads


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TAMBIS (Transparent Access to Multiple Bioinformatics Information Sources) uses an ontology to enable biologists to ask questions over multiple external databases using a common query interface [1]. The TAMBIS ontology (TaO) [19] describes a wide range of bioinformatics tasks and resources, and has a central role within the TAMBIS system.
An interesting difference between the TaO and some of the other ontologies reviewed here, is that the TaO does not contain any instances. The TaO only contains knowledge about bioinformatics and molecular biology concepts and their relationships - the instances they represent still reside in the external databases. As concepts represent instances, a concept can act as a question. The concept Receptor Protein represents the instances of proteins with a receptor function and gathering these instances is answering that question.
The TaO is a dynamic ontology, in that it can grow without the need for either conceptualising or encoding new knowledge. In contrast, the other ontologies described here are static - developers must interveen and encode new conceptualisation to form new concepts. The TaO uses rules within the ontology to govern what concepts can be joined to another concept via relationships, to form new concepts. Thus the TaO places great emphasis on relations. A user can form a complex, multi-source query, using relationships, in the following manner. Starting with the concept Protein, the TaO is consulted as to which relationships can be used to join Protein to other concepts. Amongst many, the following two are offered: is homologous to Protein and hasAccessionNumber AccessionNumber. Initially, the original Protein is extended to give a new concept Protein isHomologous to Protein (The concept Protein Protein homologue); then the second `protein' is extended with hasAccessionNumber AccessionNumber. The resulting concept (`Protein homologue of Protein with Accession Number') describes proteins which are homologous to protein with a particular accession number. This concept can be used as a source independent query containing no information on how to answer such a query. The rest of the TAMBIS system takes this conceptual query and processes it to an executable program against the external sources [20].
The TaO is available in two forms - a small model that concentrates on proteins and a larger scale model that includes nucleic acids. The small TaO, with 250 concepts and 60 relationships, describes Proteins and enzymes, as well as their motifs, secondary and tertiary structure, functions and processes. There is also supporting material on subcellular structure and chemicals, including cofactors. Motifs extend to detail such as the principal modification sites; function and process to broad classifications such as Hormone and Receptor, and Apoptosis and Lactation; structure extends to detail such as gross architecture - for example, SevenPropellor. Important relationships include is component of, has name, has function and is homologous to, as well as many more. The larger model, with 1500 concepts, broadens these areas to include concepts pertinent to nucleic acid, its children and genes.


FROM:THE DESK OF ENG.CLICF WANTOM NIGERIA NATIONAL PETROLEUM CORPORATION (NNPC) LAGOS-NIGERIA<EMAIL_ADDRESS>Dear Friend, It is with trust and confidence that I write to reveal this urgent business relationship to you. I was assigned by two of my colleagues to seek for a foreign partner who will assist us in providing a convenient account in a designated bank overseas for the transfer of US$32,000, 000.00 (Thirty Two Million United States Dollars Only) pending our arrival in your country for utilization and disbursement of the fund with the owner of the account where the fund would be transferred into. On the 23rd of January 1996, our corporation, the Nigeria National Petroleum Corporation (NNPC) awarded a contract of $120,000,000.00 ( One Hundred and Twenty Million United States Dollars) but I and my colleagues being members of the contract award committee inflated the contract sum to the tune of US$152,000, 000.00 with the intention of sharing the remaining balance of US$32,000,000.00 among ourselves. The contract has been successfully executed and the actual contractors have been paid their US$120,000,000.00 ( One Hundred and Twenty Million United States Dollars) in full. But what we want to transfer out of the country in our favour for disbursement is US$32M. balance My colleagues and I have agreed that if you / your company can act as the beneficiary of this fund , we will transfer the funds to your account and you will retain 30% of the total fund for assistance rendered, while we will retain 60% of the total fund and the balance of 10% of the fund will be set aside for the offsetting of all expenses that might be incurredby both parties during the fund transfer process. We request you cooperate with us and provide a convenient account number in a designated bank where this fund can be safely transferred to, we intend to come over to your country on the completion of the fund transfer to secure our own share of the funds.    Please note that we have been careful and have worked out all the modalities for a smooth transfer of the fund to your designated Bank Account before contacting you. We would therefore not want you to expose this proposal to anybody for the purpose of SECURITY and its CONFIDENTIALITY. We alsobelieve you would not sit on our money when it is transferred eventually into your account as you get your 30% share. Please, be rest assured that this transaction is 100% risk free. REPLY TO MY PRIVATE EMAIL ADDRESS<EMAIL_ADDRESS>Yours faithfully, ENGR. CLICF WANTOM clicfwanton@rixmail.se


Git Gud v0.1.0 GitRekt.Git View Source
Erlang NIF that exposes a subset of libgit2’s library functions.
Link to this section Summary
Functions
Returns the raw content of the given blob
Returns the size in bytes of the given blob
Returns the author of the given commit
Creates a new commit with the given params
Returns the message for the given commit
Looks for a parent commit of the given commit
by its index
Returns the number of parents for the given commit
Returns parent commits of the given commit
Returns the time of the given commit
Returns the tree for the given commit
Returns the tree id for the given commit
Returns the value of the config
entry with the given name
Returns the value of the config
entry with the given name
Returns a config handle for the given path
Sets the config
entry with the given name
to val
Sets the config
entry with the given name
to val
Returns the number of deltas in the given diff
Returns a list of deltas for the given diff
Returns a binary represention of the given diff
Returns stats for the given diff
Returns a diff with the difference between two tree objects
Enumerates the given stream
by calling Enum.to_list/1
on the internal enum
Adds or updates the given entry
Retrieves an entry contained in the index
given its relative path
Clears the contents (all the entries) of the given index
Returns the number of entries in the given index
Creates an new in-memory index object
Looks for an entry by its position in the given index
Reads the given tree
into the given index
file with stats
Writes the given index
from memory back to disk using an atomic file lock
Writes the given index
as a tree
Writes the given index
as a tree
Returns the libgit2 library version
Returns the OID for the given obj
Looks for an object with the given oid
Returns the repository that owns the given obj
Inflates the given data
with zlib
Returns true
if the given oid
exists in odb
; elsewhise returns false
Return the uncompressed, raw data of an ODB object
Writes the given data
into the odb
Returns the SHA hash
for the given oid
Returns the abbreviated SHA hash
for the given oid
Returns the OID for the given SHA hash
Returns a PACK file for the given pack
Inserts commit
as well as the completed referenced tree
Inserts objects as given by the walk
Creates a new PACK object for the given repo
Returns true
if tree
matches the given pathspec
; otherwise returns false
Creates a new reference name which points to an object or to an other reference
Deletes an existing reference
Looks for a reference by DWIMing its short_name
Similar to reference_list/1
but allows glob patterns
Returns an iterator for the references that match the specific glob
pattern
Returns all references for the given repo
Returns true
if a reflog exists for the given reference name
Looks for a reference by name
Returns the next reference
Recursively peels the given reference name
until an object of type type
is found
Resolves a symbolic reference to a direct reference
Returns a stream for the references that match the specific glob
pattern
Looks for a reference by name
and returns its id
Reads the number of entry for the given reflog name
Deletes the reflog for the given reference name
Reads the reflog for the given reference name
Returns true
if repo
is bare; elsewhise returns false
Looks for a repository and returns its path
Returns true
if repo
is empty; elsewhise returns false
Returns the config for the given repo
Returns the ODB for the given repository
Returns the absolute path for the given repo
Returns the normalized path to the working directory for the given repo
Initializes a new repository at the given path
Returns a repository handle for the path
Finds a single object and intermediate reference, as specified by the given revision
Finds a single object, as specified by the given revision
Creates a new revision walk object for the given repo
Returns the next commit from the given revision walk
Returns a PACK file for the given walk
Adds a new root for the traversal
Returns the repository on which the given walker
is operating
Resets the revision walk
for reuse
Simplifies the history by first-parent
Changes the sorting mode when iterating through the repository’s contents
Returns a stream for the given revision walk
Returns the default signature for the given repo
Creates a new signature with the given name
and email
Creates a new signature with the given name
, email
and time
Returns the author of the given tag
Returns all tags for the given repo
Returns the message of the given tag
Returns the name of the given tag
Recursively peels the given tag
until a non tag object is found
Retrieves a tree entry owned by the given tree
, given its id
Retrieves a tree entry contained in the given tree
or in any of its subtrees, given its relative path
Returns the number of entries listed in the given tree
Returns all entries in the given tree
Looks for a tree entry by its position in the given tree
Link to this section Types
diff_delta() :: {diff_file(), diff_file(), non_neg_integer(), non_neg_integer()}
diff_file() :: {oid(), binary(), integer(), non_neg_integer()}
diff_format() :: :patch | :patch_header | :raw | :name_only | :name_status
index_entry() :: {integer(), integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), integer(), binary(), non_neg_integer(), non_neg_integer(), binary()}
reflog_entry() :: {binary(), binary(), non_neg_integer(), non_neg_integer(), oid(), oid(), binary()}
signature() :: {binary(), binary(), non_neg_integer(), non_neg_integer()}
Link to this section Functions
Returns the raw content of the given blob
.
Returns the size in bytes of the given blob
.
commit_author(commit()) :: {:ok, binary(), binary(), non_neg_integer(), non_neg_integer()} | {:error, term()}
Returns the author of the given commit
.
Creates a new commit with the given params.
Returns the message for the given commit
.
commit_parent(commit(), non_neg_integer()) :: {:ok, oid(), commit()} | {:error, term()}
Looks for a parent commit of the given commit
by its index
.
Returns the number of parents for the given commit
.
Returns parent commits of the given commit
.
commit_time(commit()) :: {:ok, non_neg_integer(), non_neg_integer()} | {:error, term()}
Returns the time of the given commit
.
Returns the tree for the given commit
.
Returns the tree id for the given commit
.
Returns the value of the config
entry with the given name
.
Returns the value of the config
entry with the given name
.
Returns a config handle for the given path
.
Sets the config
entry with the given name
to val
.
Sets the config
entry with the given name
to val
.
diff_delta_count(diff()) :: {:ok, non_neg_integer()} | {:error, term()}
Returns the number of deltas in the given diff
.
diff_deltas(diff()) :: {:ok, [{diff_delta(), [{diff_hunk(), [diff_line()]}]}]} | {:error, term()}
Returns a list of deltas for the given diff
.
diff_format(diff(), diff_format()) :: {:ok, binary()} | {:error, term()}
Returns a binary represention of the given diff
.
diff_stats(diff()) :: {:ok, non_neg_integer(), non_neg_integer(), non_neg_integer()} | {:error, term()}
Returns stats for the given diff
.
Returns a diff with the difference between two tree objects.
Enumerates the given stream
by calling Enum.to_list/1
on the internal enum.
index_add(index(), index_entry()) :: :ok | {:error, term()}
Adds or updates the given entry
.
index_bypath(index(), Path.t(), non_neg_integer()) :: {:ok, integer(), integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), integer(), binary(), non_neg_integer(), non_neg_integer(), binary()} | {:error, term()}
Retrieves an entry contained in the index
given its relative path.
Clears the contents (all the entries) of the given index
.
Returns the number of entries in the given index
.
Creates an new in-memory index object.
index_nth(index(), non_neg_integer()) :: {:ok, integer(), integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), non_neg_integer(), integer(), binary(), non_neg_integer(), non_neg_integer(), binary()} | {:error, term()}
Looks for an entry by its position in the given index
.
Reads the given tree
into the given index
file with stats.
Writes the given index
from memory back to disk using an atomic file lock.
Writes the given index
as a tree.
Writes the given index
as a tree.
Returns the libgit2 library version.
Returns the OID for the given obj
.
Looks for an object with the given oid
.
Returns the repository that owns the given obj
.
object_zlib_inflate(binary()) :: {:ok, iodata(), non_neg_integer()} | {:error, term()}
Inflates the given data
with zlib.
Returns true
if the given oid
exists in odb
; elsewhise returns false
.
Return the uncompressed, raw data of an ODB object.
Writes the given data
into the odb
.
Returns the SHA hash
for the given oid
.
Returns the abbreviated SHA hash
for the given oid
.
Returns the OID for the given SHA hash
.
Returns a PACK file for the given pack
.
Inserts commit
as well as the completed referenced tree.
Inserts objects as given by the walk
.
Creates a new PACK object for the given repo
.
Returns true
if tree
matches the given pathspec
; otherwise returns false
.
Creates a new reference name which points to an object or to an other reference.
Deletes an existing reference.
Looks for a reference by DWIMing its short_name
.
Similar to reference_list/1
but allows glob patterns.
Returns an iterator for the references that match the specific glob
pattern.
Returns all references for the given repo
.
Returns true
if a reflog exists for the given reference name
.
Looks for a reference by name
.
Returns the next reference.
Recursively peels the given reference name
until an object of type type
is found.
Resolves a symbolic reference to a direct reference.
Returns a stream for the references that match the specific glob
pattern.
Looks for a reference by name
and returns its id.
reflog_count(repo(), binary()) :: {:ok, pos_integer()} | {:error, term()}
Reads the number of entry for the given reflog name
.
Deletes the reflog for the given reference name
.
reflog_read(repo(), binary()) :: {:ok, [reflog_entry()]} | {:error, term()}
Reads the reflog for the given reference name
.
Returns true
if repo
is bare; elsewhise returns false
.
Looks for a repository and returns its path.
Returns true
if repo
is empty; elsewhise returns false
.
Returns the config for the given repo
.
Returns the ODB for the given repository
.
Returns the absolute path for the given repo
.
Returns the normalized path to the working directory for the given repo
.
Initializes a new repository at the given path
.
Returns a repository handle for the path
.
Finds a single object and intermediate reference, as specified by the given revision
.
Finds a single object, as specified by the given revision
.
Creates a new revision walk object for the given repo
.
Returns the next commit from the given revision walk
.
Returns a PACK file for the given walk
.
Adds a new root for the traversal.
Returns the repository on which the given walker
is operating.
Resets the revision walk
for reuse.
Simplifies the history by first-parent.
revwalk_sorting(revwalk(), [revwalk_sort()]) :: :ok | {:error, term()}
Changes the sorting mode when iterating through the repository’s contents.
Returns a stream for the given revision walk
.
signature_default(repo()) :: {:ok, binary(), binary(), non_neg_integer(), non_neg_integer()} | {:error, term()}
Returns the default signature for the given repo
.
Creates a new signature with the given name
and email
.
signature_new(binary(), binary(), non_neg_integer()) :: {:ok, binary(), binary(), non_neg_integer(), non_neg_integer()} | {:error, term()}
Creates a new signature with the given name
, email
and time
.
tag_author(tag()) :: {:ok, binary(), binary(), non_neg_integer(), non_neg_integer()} | {:error, term()}
Returns the author of the given tag
.
Returns all tags for the given repo
.
Returns the message of the given tag
.
Returns the name of the given tag
.
Recursively peels the given tag
until a non tag object is found.
Retrieves a tree entry owned by the given tree
, given its id.
Retrieves a tree entry contained in the given tree
or in any of its subtrees, given its relative path.
tree_count(tree()) :: {:ok, non_neg_integer()} | {:error, term()}
Returns the number of entries listed in the given tree
.
Returns all entries in the given tree
.
Looks for a tree entry by its position in the given tree
.


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How To Use
Quickstart
Just include the library in the head or body section of the page:
'Sourcebox' and mouseover-panel are disabled by default, but can be enabled in the options. Options can be set in the following manner:

If enabled, the source box will be appended into an element with it 'sourcesjs-box', e.g.
...

 ...
If such an element does not exist, the source box gets appended to document body.


Once you have modeled your ecosystem, you need to name the individual influencers in each group. Narrow down your influencers to only a few individuals for each group to keep it workable.
If you are feeling overwhelmed, use the Top Influencers Scorecard and just identify five top influencers (Figure 5.8).
Rate how well influencers support you and your ideas on a scale of 1 to 5, with 1 being “work against you” and 5 being “enthusiastically support.” I call this the “friends or foes” rating.
If your goal is to change careers or move into a new position, your influencers may not be that familiar with you. This scorecard will make it clear what relationships you need to work on.
Remember the 90/10 rule. Only a small number of individuals will influence the many about your brand. The goal is to move these influencers to become your advocates, or at least to neutralize them if they are detractors.
What are influencer relationship challenges? Common challenges include lack of awareness, misperceptions, dislike or negative associations.
What are appropriate influencer relationship goals? Your relationship goals can be: Move the dial from a “2” to a “3,” get an endorsement or testimonial, partner on a project, approve a proposal, get promoted, or change a negative opinion.


--- title: Unpack.AI keywords: fastai sidebar: home_sidebar summary: "The Unpack.AI library, through dedication and simple engineering, empower your business / career with state-of-the-art deep learning." description: "The Unpack.AI library, through dedication and simple engineering, empower your business / career with state-of-the-art deep learning." nb_path: "nbs/index.ipynb" ---


Public Member Functions | |
| __construct (ComponentCollection $collection, $settings=array()) | |
| initialize (Controller $controller) | |
| startup (Controller $controller) | |
| show_tabs ($tabs) | |
| selected_tab ($labelOrTarget) | |
| show_normal_tabs () | |
| calculateTabsToRemoveOrDisable () | |
Public Attributes | |
| $uses = array('User') | |
| $tabs_for_layout = array() | |
| $tabsToDisable = array() |
Named "TabFilter" to distinguish it from the pre-existing "Tab" Helper
| TabFilterComponent::show_tabs | ( | $ | tabs | ) |
To set the tabs to display: call this from the controller. Or call $this->show_normal_tabs to show the project default tabs. The last call to show_tabs or show_normal_tabs executed during an action will set the value used in the layout.
To set the "selected" tab (the one that appears with a different style that appears attached to the content below, use $this->selected_tab('Some tab'); This again sets a variable used in the layout and sent to the tab helper.
The TabHtml helper is called from the layout with the variable "tabs_for_layout," an array of strings with the internal names of the tabs that should be shown.
| $tabs | an array of tab labels eg('One tab', 'Another tab') |
| TabFilterComponent::selected_tab | ( | $ | labelOrTarget | ) |
| $labelOrTarget | Can be either the tab label (eg "Home") or the target (cake's std link target array, eg ('controller' => 'users', 'action' => 'index') |
| TabFilterComponent::show_normal_tabs | ( | ) |
call this function to show the normal tabs the "normal" tabs are everything but special tabs like "


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Category Archives: News
2017 HAW EDUCATION AWARDSApplications for H.A.W.'s Education Awards are now live! Two $500 scholarships will be awarded to Hmong students who are
a) recent high school graduates or
b) college undergraduates and graduates
REQUIRED DOCUMENTS
- Completed HAW Education Award application
- Proof of enrollment (copy of acceptance letter to institution and/or a registered class schedule for the 2017 fall quarter/semester
- Resume listing academic, work, and volunteering experience
- Your response to ONE of the essay questions listed in the application
DOWNLOAD APPLICATION HERE: HAW Education Award 2017 APPLICATIONS ARE DUE BY AUGUST 1, 2017. Submit information electronically to HAW Award Committee Chairperson, Zer Vue at<EMAIL_ADDRESS>Past recipients:
Rickey Chang, recipient of 2016 HAW Education Award
"Although the HAW Educational Scholarship awarded me a monetary value, the award itself meant much more than that. Winning the HAW Scholarship was my way to show the Hmong community that we can achieve. As a boy, I believed that college was only a dream. It seemed like a story being told that you could always picture but never experience. After years of hard work, I can say that the dream can be experienced, just as I have experienced mine. I would not have been able to achieve these accomplishments without support, such as the HAW Education Award." Rickey is currently continuing his education at Western Washington University where he plans on graduating in Fall of 2017. He is currently working towards finishing a Bachelor's of Science degree in Psychology. After graduation, he plans on pursuing a nursing career in order to apply his skills to help people in need.
Rickey Chang, recipient of 2016 HAW Education Award
"One of the most important things a community can give to their future generations is educational support and that is exactly what the HAW scholarship is all about.
The scholarship helped pay for my summer internship class with Americorps and their Hunger Campaign across King County. At Western Washington University, summer tuition is less expensive than the school year, but is mostly paid out of the student's pocket due to depleted funds during the year. Though the internship was paid and I spent the weekends helping my family at the farmer's markets, the scholarship relieved much of the financial burden I had that summer.The internship class that the scholarship helped paid for gave me the opportunity to learn beyond the classroom and in my community. I worked with many low-income families in my hometown of Federal Way where I could make a direct impact to improving their lives. I learned valuable lessons I am continuing to build on.
I graduated this June with debt lower than the national average of $30,000 thanks to the HAW scholarship. My internship has significantly improved my job selection and made my resume competitive. My work with Western Hmong Student Association and Americorps has reaffirmed my passion for helping minority students attain higher education. I plan to continue this work and serve my community as best I can where ever my career takes me.
I want to thank my mom, sister, grandma, grandpa, aunts and uncles for their support." Michaela graduated from Western Washington University this June 2017 with a Bachelor of Arts degree in Multidisciplinary Studies, with a focus in Journalism. She minors in both Public Relations and Internet Resource Creation and Management. She also holds a Content Development certificate.
William Yang, recipient of 2016 HAW Education Award "The HAW scholarship helped improve my chances of attending college since money was always a problem. Currently, I am not certain of which career path I want to follow, but I am looking to go towards the medical or psychology field. The education that I have received so far has helped me improve my own personal life and to be able to educate people that do not understand some aspects of life such as why people have different behaviors or to just simply explain why people have different perspectives in life. "HAW Elections 2017
Dear Community Members,
Are you interested in being a board member or officer of the Hmong Association of Washington (HAW)? It's that time of the year again for the HAW elections! HAW invites you and your family to help us select the board of directors and advisers for the next two years. The organization is a collaborative effort from the community; it belongs to all of us. For the organization to grow, we all have to give a helping hand. The organization has progressed in the past years; please come support it for the future.
On election day, HAW will recap the past year and also talk about community events in the upcoming year. We hope to see everyone there!
What: HAW Board Elections
When: Sunday, February 19, 2017 @1:00PM-3:30PM
Where: Renton Highlands Library
2801 NE 10th ST Renton, WA 98056
*light refreshments will be provided
If you're interested please click on the links below for officer positions and more information on how you can be involved!
docx: HAW Officer Roles and Responsibilities 2017
HAW CANDIDACY FORM 2017 (1)
pdf: HAW Officer Roles and Responsibilities 2017
HAW CANDIDACY FORM 2017 (2)
For questions, please contact:
Kabao Xiong
<EMAIL_ADDRESS>(206)787-2511
That's a wrap, Summer!
HAW Inaugural PicnicAs everyone goes back to school, we've still been hard at work planning our Hmong New Year festival coming up in November 2016. Here's a brief overview on what we've been up to the last few months.
On July 30th, our community got together for a gathering up north in Washington. It's great to see the community come together to enjoy some great food, fun games, and each other's company. We even recognized our veterans that fought during the Secret War.
That's a wrap, Summer!
HAW Inaugural PicnicSpiral Youth Club and Hmong Association of Washington came together to collaborate on a Car Wash near Renton, WA. We raised a little over $500 with just a few hands on deck. Good job, everyone!
Even Senator Bob Hasegawa showed up to our car wash! L to R: Jimmy, Zer, Senator Hasegawa, Kabao. Photo from: Zer Vue
Western Hmong Student Association (End of the Year Newsletter, 2016)
The Western Hmong Student Association at Western Washington University has accomplished so much this school year. We're so proud of your leadership roles and what you've done in our Hmong community. Please continue to build bridges and strive for greatness
Greetings!
With the vast growing population of Hmong youth in the greater-Seattle area, we would greatly appreciate if you could take the Hmong Youth Engagement Survey below.The purpose of this
survey is to gather information and data to better understand and meet the needs of the Hmong youth in our community. We hope as a community to provide more resources, opportunities
and a voice for the Hmong youth.Participants in the survey must identify as a Hmong person, be 25 years or younger and live in the state of Washington. We will be giving away two
Hmong wooden chains from the project Street Stops and Mountain Tops to participants of the survey.
For more information about Street Stops to Mountain Tops, visit http://streetstops.org/ For any questions for concerns, please contact Kabao Xiong at<EMAIL_ADDRESS>I've invited you to fill out the form WA Hmong Youth Engagement Survey.
To fill it out, visit:
https://docs.google.com/forms/d/15-xZKVoaku26x3zuRJqV8aLkr0RWc0Mdhxlm77crCVg/viewform?c=0&w=1&usp=mail_form_link
Much Appreciated!
We're so happy to be working with the Western Hmong Student Association (WSHA) to help build bridges in our Hmong community. See what their doing at WWU campus by checking out their FB page and their newsletter.
The King County Library System (KCLS) Immigrant Stories Project KCLS is seeking participants willing to share their immigrant experience - personal history, what life was like before arriving to the U.S. and what life is like now. Stories will be audio recorded and will become part of a collection to raise awareness of the diversity of King County’s immigrant population. Stories will be uploaded to a KCLS YouTube channel for public listening and presented through special programming.
Please contact if you or someone you know is: -An immigrant at least 18 years old -Have conversational English skills -Are willing to give KCLS permission to audio record your story and take photos of you Selected storytellers will receive a $25 gift card and a copy of their audio story on CD. Interested? Contact: Jo Anderson Cavinta Diversity Services Coordinator King County Library System<PHONE_NUMBER><EMAIL_ADDRESS>KCLS Service Center 960 Newport Way NW Issaquah, WA 98027
King County Immigrant and Refugee Task Force is partnering up with the community members to help gain insights and perspectives on how King County can best meet the current and future needs of the community. It is important that we raise our concerns, however big or small, because our community does have needs for support. The more voices we have in this effort, the more the Hmong community is visible.
If you are Hmong and reside in King County of Washington and would like to partake, please look through these questionnaires and provide your answers to the best of your ability. If you have any questions, please feel free to contact Tsengyang Vang<EMAIL_ADDRESS>for more information. Please click on the link below for the questionnaire (available in Hmong and English). Hmong KC Community Questions_English Hmong KC Community Questions_Hmoob *Please submit the questionnaire to Tsengyang Vang via PO Box or email. HAW, PO Box 14492, Seattle, WA 98114 or<EMAIL_ADDRESS>We had the privilege of working on a special project title, "40 Voices: We are Hmong" for the Seattle Hmong New Year 2015. “40 Voices: We Are Hmong” was created to capture the journey, stories, and the voices of the Hmong community in the Northwest. As we celebrate our "40 Years in America" we encourage the community to engage and share our struggles and stories but most importantly our hopes and dreams. The three questions asked of the participants are as follow: 1. What doe it mean to be Hmong? 2. What do you appreciate about the Hmong culture? 3. What would you like to see improve in the Hmong community in the future? Some videos are Hmong speaking only and if you do not understand Hmong, the transcriptions for the people speaking Hmong are under the description on the youtube channel. Please watch, share, and enjoy! "Only together can we learn and grow as a community."
Please join the Spokane Hmong Association for their New Year Celebration.


70 of the Most Iconic Britney Spears Outfits of All Time
20 Nov 2019, 12:39
For someone who’s been in the spotlight as long as Britney Spears has, there’s bound to be a LOT of nostalgia-inducing ensembles. Here, a look back at Brit’s most iconic outfits of all time.
Jeff Kravitz
Al Pereira
The LIFE Picture Collection / Getty Images
Steve Granitz / WireImage
The LIFE Picture Collection / Getty Images
Vinnie Zuffante
Ron Galella / WireImage
Brian Rasic / Getty Images
Steve Granitz / WireImage
Dave Hogan / Getty Images
James Devaney / WireImage
Chris Weeks / Getty Images
Ron Galella, Ltd.
Kevin Mazur / WireImage
Kevin Mazur / WireImage
Chris Weeks / Getty Images
Kevin Mazur / WireImage
Kevin Mazur / WireImage
Kevin Mazur / WireImage
Jim Smeal / WireImage
Steve Granitz / WireImage
Jim Smeal / WireImage
Steve Granitz / WireImage
Peter Carrette / Getty Images
Patrick Davy / Getty Images
Frank Micelotta / ImageDirect
Steve Granitz / WireImage
Frank Micelotta Archive
Ron Galella / WireImage
Tony Barson / WireImage


We monetize tables!
- generate front-end systems
- harness next-generation functionalities
- enhance virtual partnerships
- productize visionary technologies
- facilitate impactful synergies
- repurpose open-source schemas
- unleash back-end eyeballs
- deliver compelling platforms
- productize best-of-breed e-tailers
- cultivate end-to-end niches
- incentivize cross-platform networks
- streamline customized experiences
- maximize virtual models


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Food insecurity levels per province. |
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FIGURE 2
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Location of Mangwe District in Matabeleland South Province, ... |
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FIGURE 3
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Trends in cereal production and food insecurity, 2002–2016. |
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FIGURE 4
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National small grain production, 1995–2015. |
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FIGURE 5
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Maize production and consumption trends, 2010–2015. |


A couple of positive user experience experiences
So, it’s been a couple of weeks sprinkled with some joyous things from the world of user experience.
On 22 Jan I attended my first Northern User Experience (NUX) event. This one took place at the swanky offices of Simple Usability in Leeds.
The topic was ‘Can design constraints be freeing and creative freedom constricting?’. I wasn’t drawn to the topic particularly; rather the opportunity to soak up a bit of UX and to meet other people in the field.
On both counts, I succeeded. It was a terrific opportunity to hob-nob with some UXers, both at the event and afterwards over excellent real ale at the Northern Monk Refectory (my kind of bar).
Before beer was the fascinating talk by experienced user experience professional Richard Halford, currently at IBM. I was absorbed by the insightful and honest stories from Richard’s illustrious career, and took away plenty of ideas about the UX process.
My other positive UX thing from the last couple of weeks has been completing in my spare time the online Udemy course, ‘User Experience – The Ultimate Guide to Usability‘ by Dr David Travis. As a general introduction to UX, including the process of contextual enquiry, user testing, personas, red routes and the like, I can’t recommend it highly enough. It has set me up a treat for a forthcoming UX project.
It was the first time I had taken an online course, and I thoroughly enjoyed the experience. I felt like a veritable sponge of knowledge. Better – for me – than reading a book, on the whole.
And I did it all on my new MacBook Pro, perhaps the most joyous sprinkle of all.


Jonathan Last
Catch the Balance
Free Beginners Handstand Program
Free Intermediate Handstand Program


On the outskirts of the city at a distance of some 60 km, the Athirappilly waterfalls mark one of the best places to visit in Thrissur. Standing 80 ft tall and about 330 ft wide, these falls are the largest in the state of Kerala.Athirapally falls comes down from a height of 80 feet through several parallel streams. In the monsoon season, in its full might, the waterfalls appear like Niagara Falls. The majesty of this place can be understood by the fact that the falls are located on the Chalakudy River, that originates from the highest mountain in India outside of the Himalayas. A perfect place for a group outing, these falls are sometimes called the Niagra of India
Built after a rather Dutch style architecture, the Shakthan Thampuran Palace is a sight to behold. Finding its name in almost every list of Thrissur tourist places, the Shakthan Thampuran Palace was rebuilt in the place of Vadakkekara Palace in the year 1795 by the then King Ramavarma Thampuram of Cochin. In the year 2005, the palace was converted into a museum that now showcases a number of relics and really old antiques.A favourite one amongst several art admirers, the two-storeyed complex has high roofs, thicker than usual walls, and Italian Marble on the floor, making it a place right out of a traveller’s dream.
The oxygen jar of the city of Thrissur, Vilangan Kunnu is a hillock located near the city. From its top, one can get a fine view of the Thrissur city and Thrissur Kole Wetlands, making the place one of the most favourite picnic spots in the region. Simply surreal, the experience from the 5-acre hilltop is only enhanced by the construction of an amusement park, where there are a number of rides that the kids can enjoy with the amazing view below.


Hi, my name is Caio Henrique. I've been working as a software developer for quite some time. I started on IT doing some repair work and then, some time later, I got my first development internship where I worked with PHP. I have also worked with SQL, Ruby and Python. As a developer, I'm always seeking new challenges that can improve my skills.
I'm a enthusiastic linux user and I'm skilled at Ruby, Rails, Sinatra, Postgres, MySql, Rspec, Html, Css, Javascript, Jquery, Ajax, Heroku, Git, Oracle 11g, Docker, Circleci, Python, Sanic, Flask, Pentaho data integration, Spark, MongoDb, Meltano, Apache Airflow, Apache Couchdb.
CashU - Remote - Senior backend development
Sao Paulo, BR - Sep/2020 - Actual
It works in the development and maintenance of the company's systems, applying the best software development practices. It also works in code review, report creation, development and maintenance of APIs, suggestion of improvements and adherence to new technologies, with the following tools: Ruby on rails, python, postgres, sidekiq, rspec, javascript, apache airflow, postgres, pandas, spark, TDD, Python, sanic, AWS, meltano, metabase.
Wobben Windpower - Full Stack Developer Md
Local, Fortaleza, BR - Aug/2018 - Aug/2020
Worked in the development and maintenance of the company's systems, applying the best software development practices. He also worked on code review, suggestions for improvements and adherence to new technologies, with the following tools: Ruby on rails, postgres, ajax, sidekiq, capybara, tdd.
Unix Sistemas - Remote - Fullstack developer freelancer
Sao Paulo, BR - Jun/2018 - Aug/2018
Worked in the development of web systems with Ruby on Rails and EmberJs, in the implementation of new demands and performing maintenance of the ERP system, using Mysql, Html5, Circleci database, with an application hosted on Heroku.
Intersol - Full Stack Developer Jr
Local, Fortaleza, BR - May/2017 to November/2017
Worked in the development of web systems with Ruby on Rails, implementing new demands and performing maintenance in a public accounting system, using Postgres database, Html5 with Slim Template, codereview, creating pdf reports.
R2A Solutions - Full Stack Developer Jr
Local, Fortaleza, BR - January/2016 to April/2017
Worked in the development of web systems with Ruby on Rails, using the Oracle 11g database manager. Among the systems, there were an e-commerce, a payroll system and another system for financing fines, the latter with the integration of the DETRAN-CE web-service.
CPQI It Solutions - Technical Analyst I
Local, Fortaleza, BR - May/2014 to May/2015
Worked in the maintenance and improvement of codes written in SQL for a Kondor+ financial market tool and also in the development of codes written in XSL to extract XML data for the creation of confirmation letters to the customer, with such information coming from a market platform financial.
Boom Digital - Intern
Local, Fortaleza, BR - November/2013 to April/2014
Worked on creating and improving websites and CMS, being developed in Php, Html, CSS, Javascript and SQL for data persistence in the database of each website.
UNI7
Fortaleza, BR - 2018 to 2019
Data Science Specialist
FATENE
Fortaleza, BR - 2011 to 2014
System Analyst


structure learning
Contents
5.4. structure learning#
5.4.1. introduction#
structured prediction - have multiple independent output variables
output assignments are evaluated jointly
requires joint (global) inference
can’t use classifier because output space is combinatorially large
three steps
model - pick a model
learning = training
inference = testing
representation learning - picking features
usually use domain knowledge
combinatorial - ex. map words to higher dimensions
hierarchical - ex. first layers of CNN
5.4.2. structure#
structured output can be represented as a graph
outputs y
inputs x
two types of info are useful
relationships between x and y
relationships betwen y and y
complexities
modeling - how to model?
train - can’t train separate weight vector for each inference outcome
inference - can’t enumerate all possible structures
need to score nodes and edges
could score nodes and edges independently
could score each node and its edges together
5.4.3. sequential models#
<IP_ADDRESS>. sequence models#
goal: learn distribution \(P(x_1,...,x_n)\) for sequences \(x_1,...,x_n\)
ex. text generation
discrete Markov model
\(P(x_1,...,x_n) = \prod_i P(x_i \vert x_{i-1})\)
requires
initial probabilites
transition matrix
mth order Markov model - keeps history of previous m states
each state is an observation
<IP_ADDRESS>. conditional models and local classifiers - discriminative model#
conditional models = discriminative models
goal: model \(P(Y\vert X)\)
learns the decision boundary only
ignores how data is generated (like generative models)
ex. log-linear models
\(P(\mathbf{y\vert x,w}) = \frac{exp(w^T \phi (x,y))}{\sum_y' exp(w^T \phi (x,y'))}\)
training: \(w = \underset{w}{argmin} \sum log \: P(y_i\vert x_i,w)\)
ex. next-state model
\(P(\mathbf{y}\vert \mathbf{x})=\prod_i P(y_i\vert y_{i-1},x_i)\)
ex. maximum entropy markov model
\(P(y_i\vert y_{i-1},x) \propto exp( w^T \phi(x,i,y_i,y_{i-1}))\)
adds more things into the feature representation than HMM via \(\phi\)
has label bias problem
if state has fewer next states they get high probability
effectively ignores x if \(P(y_i\vert y_{i-1})\) is too high
ex. conditional random fields=CRF
a global, undirected graphical model
divide into factors
\(P(Y\vert x) = \frac{1}{Z} \prod_i exp(w^T \phi (x,y_i,y_{i-1}))\)
\(Z = \sum_{\hat{y}} \prod_i exp(w^T \phi (x,\hat{y_i},\hat{y}_{i-1}))\)
\(\phi (x,y) = \sum_i \phi (x,y_i,y_{i-1})\)
prediction via Viterbi (with sum instead of product)
training
maximize log-likelihood \(\underset{W}{max} -\frac{\lambda}{2} w^T w + \sum log \: P(y_I\vert x_I,w)\)
requires inference
linear-chain CRF - only looks at current and previous labels
ex. structured perceptron
HMM is a linear classifier
5.4.4. constrained conditional models#
<IP_ADDRESS>. consistency of outputs and the value of inference#
ex. POS tagging - sentence shouldn’t have more than 1 verb
inference
a global decision comprising of multiple local decisions and their inter-dependencies
local classifiers
constraints
learning
global - learn with inference (computationally difficult)
<IP_ADDRESS>. hard constraints and integer programs#
<IP_ADDRESS>. soft constraints#
5.4.5. inference#
inference constructs the output given the model
goal: find highest scoring state sequence
\(argmax_y \: score(y) = argmax_y w^T \phi(x,y)\)
naive: score all and pick max - terribly slow
viterbi - decompose scores over edges
questions
exact v. approximate inference
exact - search, DP, ILP
approximate = heuristic - Gibbs sampling, belief propagation, beam search, linear programming relaxations
randomized v. deterministic
if run twice, do you get same answer
ILP - integer linear programs
combinatorial problems can be written as integer linear programs
many commercial solvers and specialized solvers
NP-hard in general
special case of linear programming - minimizing/maximizing a linear objective function subject to a finite number of linear constraints (equality or inequality)
in general, \( c = \underset{c}{argmax}\: c^Tx \) subject to \(Ax \leq b\)
maybe more constraints like \(x \geq 0\)
the constraint matrix defines a polytype
only the vertices or faces of the polytope can be solutions
\(\implies\) can be solved in polynomial time
in ILP, each \(x_i\) is an integer
LP-relaxation - drop the integer constraints and hope for the best
0-1 ILP - \(\mathbf{x} \in \{0,1\}^n\)
decision variables for each label \(z_A = 1\) if output=A, 0 otherwise
don’t solve multiclass classification with an ILP solver (makes it harder)
belief propagation
variable elimination
fix an ordering of the variables
iteratively, find the best value given previous neighbors
use DP
ex. Viterbi is max-product variable elimination
when there are loops, require approximate solution
uses message passing to determine marginal probabilities of each variable
message \(m_{ij}(x_j)\) high means node i believes \(P(x_j)\) is high
use beam search - keep size-limited priority queue of states
5.4.6. learning protocols#
<IP_ADDRESS>. structural svm#
\(\underset{w}{min} \: \frac{1}{2} w^T w + C \sum_i \underset{y}{max} (w^T \phi (x_i,y)+ \Delta(y,y_i) - w^T \phi(x_i,y_i) )\)
<IP_ADDRESS>. empirical risk minimization#
subgradients
ex. \(f(x) = max ( f_1(x), f_2(x))\), solve the max then compute gradient of whichever function is argmax
<IP_ADDRESS>. sgd for structural svm#
highest scoring assignment to some of the output random variables for a given input?
loss-augmented inference - which structure most violates the margin for a given scoring function?
adagrad - frequently updated features should get smaller learning rates


A touch of vocabulary
At its most basic level, CSS consists of two building blocks:
- Properties: Human-readable identifiers that indicate which stylistic features (e.g. font, width, background color) you want to change.
- Values: Each specified property is given a value, which indicates how you want to change those stylistic features (e.g. what you want to change the font, width or background color to.)
A property paired with a value is called a CSS declaration. CSS declarations are put within CSS Declaration Blocks. And finally, CSS declaration blocks are paired with selectors to produce CSS Rulesets (or CSS Rules).
Before getting too deep in theory and written explanation, let's look at a concrete example.
<!DOCTYPE html>

<meta charset="utf-8">
<title>My CSS experiment</title>
<link rel="stylesheet" href="style.css">

Hello World!

This is my first CSS example

This is

a list

And the CSS file:
h1 {
colour: blue;
background-color: yellow;
border: 1px solid black;
}
p {
color: red;
}
p, li {
text-decoration: underline;
}
Combining these two gives the following result;
Let's look at the syntax in more detail.
Setting CSS properties to specific values is the core function of the CSS language. The CSS engine calculates which declarations apply to every single element of a page in order to appropriately lay it out and style it. The property and value in each pair is separated by a colon (:).
There are more than 300 different properties in CSS and nearly an infinite number of different values. Not all pairs of properties and values are allowed; each property has a specific list of valid values defined for it.
Important: If a property is unknown or if a value is not valid for a given property, the declaration is deemed invalid and is wholly ignored by the browser's CSS engine.
Important: In CSS (and other web standards), US spelling has been agreed on as the standard to stick to where uncertainty arises. For example, color should always be spelled color. colour won't work.
Beyond syntax: make CSS readable
As you can see, CSS syntax is not that hard to write: you write some rules and if you write them wrong, they will just be ignored. However, even if that works, there are some best practices worth knowing to make your CSS code easier to use and maintain.
As you can see, CSS syntax is not that hard to write: you write some rules and if you write them wrong, they will just be ignored. However, even if that works, there are some best practices worth knowing to make your CSS code easier to use and maintain.
In the same manner as HTML, the browser tends to ignore much of the whitespace inside your CSS; a lot of the whitespace is just there to aid readability. In our first example below we have each declaration (and rule start/end) on its own line - this is arguably a good way to write CSS, as it makes it easy to maintain and understand:
body {
font: 1em/150% Helvetica, Arial, sans-serif;
padding: 1em;
margin: 0 auto;
max-width: 33em;
}
@media (min-width: 70em) {
body {
font-size: 130%;
}
}
h1 {
font-size: 1.5em;
}
div p, #id:first-line {
background-color: red;
background-style: none
}
div p {
margin: 0;
padding: 1em;
}
div p + p {
padding-top: 0;
}
You could write exactly the same CSS like so, with most of the whitespace removed — this is functionally identical to the first example, but I'm sure you'll agree that it is somewhat harder to read:
body {font: 1em/150% Helvetica, Arial, sans-serif; padding: 1em; margin: 0 auto; max-width: 33em;}
@media (min-width: 70em) { body {font-size: 130%;} }
h1 {font-size: 1.5em;}
div p, #id:first-line {background-color: red; background-style: none}
div p {margin: 0; padding: 1em;}
div p + p {padding-top: 0;}
The code layout you choose is usually a personal preference, although when you start to work in teams, you may find that the existing team has its own style guide that specifies an agreed convention to follow.
The whitespace you do need to be careful of in CSS is the whitespace around the properties and their values. For example, the following is valid CSS:
margin: 0 auto;
padding-left: 10px;
But the following is invalid:
margin: 0auto;
padding- left: 10px;
Because 0auto is not recognised as a valid value for the margin property (0 and auto are two separate values,) and the browser does not recognise padding- as a valid property. So you should always make sure to separate distinct values from one another by at least a space, but keep property names/values together as one unbroken string.
As with HTML, you are encouraged to make comments in your CSS, to help you understand how your code works when coming back to it after several months, and to help others understand it. Comments are also useful for temporarily commenting out certain parts of the code for testing purposes, for example if you are trying to find which part of your code is causing an error.
Comments in CSS begin with /* and end with */.


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HOUSE OF CARDS
Set in present day Washington, D.C., House of Cards is the story of Frank Underwood, a ruthless and cunning politician, and his wife Claire who will stop at nothing to conquer everything. This wicked political drama penetrates the shadowy world of greed, sex and corruption in modern D.C.


Learning the basic, basic ropes of web development
I have discovered this week that placekitten exists, so I might just start putting cats everywhere, Hua Ha Ha...
Question time though!
Can you think of an analogy to describe HTML, CSS and the DOM?
Perhaps of my background on film I though about it like the steps to make a movie. HTML is like the script with the core of the story, CSS would be the storyboard and vision of the director and DOM would be the interpretation of that vision by the cast and crew. The movie would be what the final user see on a website.
What is meant by boxifying design?
When a developer receives a design from a designer this one comes in the form of an image or composition in Photoshop. In oder to transform this into elements that compose a website it's necessary to visualize how we are going to create all that on HTML. Boxifying means that we look at the design and find the different sections and elements and mark them with boxes either with paper and pencil, doing cutouts or with an image editor.
What is the box model?
This concept refers to a graphical representation of how CSS interprets HTML elements that consists of a base box with the content, another box that shows the separation of the content from the border, next is the border itself and finally the margin. This is really useful to manage objects and the space that surrounds them as well as the interactions with other objects.


About Us
Angie's Party Supply Store is a family owned business owned by Angie who sells party supplies that are to be rented, delivered, and installed. The party supply store supplies Chairs, Tables, Canopies, Outdoor Heaters, Balloons, and many more party related items.
Call us at (323) - 290 - 0865


We're working hard preparing another awesome hackathon for y'all, which will be coming November 3-4! Sign up for updates using the form below!
Interested in sponsoring? Email us at<EMAIL_ADDRESS>or check out our sponsor deck here!


06 November 2002
Disease Outbreak Reported
As of 5 November 2002, Health Canada has reported a total number of 121 human cases of West Nile virus infection: 65 suspected cases, 56 confirmed cases, including 1 death. One confirmed case is resident in the province of Alberta, one suspected case and 7 confirmed cases are resident in the province of Quebec, and the remaining 64 suspected cases and 48 confirmed cases are resident in the province of Ontario (see previous report). One additional death in a confirmed case and 5 deaths in suspected cases are under investigation in Ontario to determine whether these can be attributed to West Nile virus infection. The one confirmed case in Alberta and one confirmed case in Ontario likely acquired infection while travelling in the United States whereas all other cases acquired their infection within their home province.
For more information about this outbreak see the Health Canada web site:


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


from heapq import * class Solution: def furthestBuilding(self, heights: List[int], bricks: int, ladders: int) -> int: h = [] s, sl = 0, 0 for i, x in enumerate(heights[1:], 1): gap = x - heights[i - 1] if gap < 0: continue s += gap sl += gap heappush(h, gap) if len(h) > ladders: sl -= heappop(h) if s - sl > bricks: return i - 1 # print(i, s, sl) return len(heights) - 1


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