Single page application and Web Api
10/06/2014 -- Pierre Besson
The application architecture is a model which has to evolve in order to be able to benefit form all new technologies:
The application's paradigm has changed. As browser gets faster and faster, it was time to move to JavaScript Applications and Web API.
Valid JSON:
{
"key": "value",
"person": {
"firstName": "Steve",
"lastName": "Jobs",
"age": 56
}
}
In order to expose an API, you have to map url to route wich trigger specific actions. We assume that our application is RESTFULL. It means a route is able to CREATE, RETRIEVE, UPDATE, DELETE an object: CRUD
http://domainName/contact** => CREATE a contact
http://domainName/contact/1 => RETRIEVE all contacts
http://domainName/contact/1 => RETRIEVE a contact with an id 1
http://domainName/contact/1 => UPDATE a contact with an id 1
http://domainName/contact/1 => DELETE a contact with an id 1
In order to easily test web apis, you can use two tools:
The objective of the first version of the JavaScript Framework was to be able to build application with the same pattern as before.
Even if these pages are not so different from the previous one (in the rendering aspect), the way we build the is completely different. The interactions possibilities are completly differents.
Consult and edit example.
Examples of the composite pattern
The Framework is build on the top of an other lightweight JavaScript framework: Backbone.js. The main goal of Backbone is to provide concepts an a really flexible skeleton in order to build JavaScript applications. The application objects try to match an MVC pattern with many concepts:
//Registering routes
Router.prototype.routes = {
'': 'home',
'about': 'about',
'contact': 'contact',
'signin': 'signin',
'contact/:id': 'loadContact'
};
//Handler
var loadContact = function(id) {
return application.layout.content.show(
new ContactView({
model: new Contact({id: id})
}
));
};
The router in the Fmk.js has been modified in order to perform the following actions:
A model has to inherit from a Backbone.Model. It looks like this:
var ContactModel = Fmk.Models.Model.extend({
modelName: "contact"
url: "http://domain/api/contact",
initialize: function(options){
//Some initialization code here.
if(!this.isNew()){
this.set({creationDate: new Date()});
}
},
metadatas:{
firstName: {
"doamain": "DO_SHORT_LABEL"
}
}
});
Fmk.js
the default Backbone model has been extended mainly in order to deal with medatdatas.//Dependencies.
var URL = require('../URL');
var Contact = require('./contact');
module.exports = Fmk.Models.PaginatedCollection.extend({
model: Contact,
modelName: "demo.contact",
url: URL.demo.contact
});
Collection have been extended in order to :
changes:{
creates:[],
deletes:[],
updates: []
}
{{key}}
<form>
{{input_for "fisrtName"}}
{{input_for "lastName"}}
{{input_for "age"}}
<button type='submit'>Save</button>
</form>
In the fmk, there are custom helpers: they take care of rendering, using metadatas.
Example of code for the button:
Handlebars.registerHelper "statusIcon", (property, options)->
if typeof(this[property] == "boolean")
if this[property] then icon = "fa fa-check" else icon = "fa fa-exclamation"
else switch this[property]
when 0 then icon = "fa fa-ban";
when 1 then icon = "fa fa-exclamation";
when 2 then icon = "fa fa-clock-o";
when 3 then icon = "fa fa-check";
else icon = ""
return new Handlebars.SafeString("<i class='#{icon}'><i>");
A view has to inherit from a Backbone.View. It looks like this:
var ContactView = Backbone.View.extend({
url: "http://domain/api/contact",
template: contactTemplate,
events:{
"click button[type='submit']": "save"
}
initialize: function(options){
//Some initialization code here.
var currentView = this;
this.contactSvc.load(this.model.get('id')).then(function(data){
currentView.model.set(data);
});
},save: function(event){
event.preventDefault();
this.saveSvc.save().then(
//...
)
}
});
Fmk.Views
property. All these views has many options and has been designed to cover almost every need in the application.customOptions
attributes.var Reference = require('../models/reference');
var References = require('../models/references');
var Promisify = require('../models/promisify');
/*Instances of both model and collection of virtual machines.*/
var promiseReference = Promisify.Convert.Model(new Reference());
var promiseReferences = Promisify.Convert.Collection(new References());
function saveReference(jsonModel) {
promiseReference.clear({
silent: true
});
return promiseReference.save(jsonModel);
}
//Load all the references of the application
function loadReferences() {
promiseReferences.reset(null, {silent: true});
return promiseReferences.fetch();
}
module.exports = {
save: saveReference,
loadAll: loadReferences
};
then(onFullFilled, [,onRejected])
var promise = new Promise(function(resolve, reject) {
//Do something maybe asynchronous or not
var isOk = treatement();
if (isOk) {
resolve("It works...");
} else {
reject(Error("It does not work!"))
}).then(console.log, console.error);
In order to be efficient on the browser, we have to seve:
In order to have a nice structure inside the project, a bundler is used. This bundler called brunch is built on the top of Node.js. The bundler role is to convert multiple files (whenever a file is modified) into a single one.
| directory | meaning |
|---|---|
| application.js | All the application initialization code |
| assets | All application static ressources (images, fonts, favicon, ...) |
| lib | Contains all application helpers, the application router(s), template helpers. |
| i18n | All application text informations (label, messages, ...). Could contain multiple languages. |
| services | Client side service layer. (Ajax or local loading) |
| views | Contains all the views. Views in the backbone.js applications are more like controllers. They load their models using services and display the in their templates. Views are also responsible for handling user interactions with the page. |
| models | Modelization inside views, match api data. Can have special methods (sort, toJSON, ...). Contains both models and collections |
| views/templates | The templates of the views |
A additional level can be added in each directory if the application is complex and have many pages.
In order to be able to display your first page you need to perform differents actions:
We will take as an example the problem of displaying a contact on a screen, and a list of contact. A contact has the following attributes:
A model has to extend an existing Backbone.Model which could be the default Backbone.Model.
var ContactModel = Backbone.Model.extend({
default: {
firstName: undefined,
lastName: undefined,
email: undefined
},
name: function displayFirstNameLastName(){
return this.get('firstName') + ' ' + this.get('lastName');
}
});
Now that you have a model, you can try to create a model and play with it.
var contact = new ContactModel({firstName: "Robert", lastName: "Dupont", email: "robert@dupont.com"});
console.log(contact.get('firstName')); //Display: Robert
console.log(contact.name()); // Display: Robert Dupont
//Update the firstName and set its address (a new field)
contact.set({firstName: "Roberto", address: "12 rue des fleurs 75000 Paris"});
console.log(contact.get('firstName'), contact.get('address')); //Display: Roberto, 12 rue des fleurs 75000 Paris
A template is written in a template language. This template consume data which are pass to it by th view. The data which are passed to the template are JSON. Usally, the data passed to the template are a json representation of the model. Here our data would be :
{
"firstName": "Robert",
"lastName": "Dupont",
"email"<EMAIL_ADDRESS>}
A template has a .hbs extension. Inside a template you can write plain HTML and when you need to access the value of the data passed inside the view you just have to type a {{propertyName}}
. As an example: {{firstName}}
.
<p> Mr {{firstName}} {{lastName}} has the following email: {{email}}.</p>
A template will be compiled as a JavaScript function by the brunch tool. Il will be use as follows: templateFunction(jsonData);
it will display:
<p> Mr Robert Dupont has the following email<EMAIL_ADDRESS>A view has to extend an existing view or a default Backbone view. The model is not "linked" to the view it has to be pass to the view when instaciated.
//We load the template which has been defined in the template part.
//This template is (or will be ) compiled as a javascript function.
var template = require('./template/contact');
var ContactView = Backbone.View.extend({
template: template,
render: function renderContactView(){
this.$el.html(this.template(this.model.toJSON()));
// The model will be pass to the view in the next part.
// Here we inject the json into the template function associated to the template.
return this;
}
});
All view has an el element which contains all the DOM element of it.
var contact = new ContactModel({firstName: "Robert", lastName: "Dupont", email: "robert@dupont.com"});
var contactView = new ContactView({model: contact});
console.log(contactView.render().el);
//Will display : <p> Mr Robert Dupont has the following email<EMAIL_ADDRESS>The JavaScript framework contains many things. Some are build on the top of Backbone as said before (the views, models). But they are many more things.
A domain has many attributes:
{value: function(data, opts){//validate the data}, options: {isCool: true}}
{
"DO_LABEL_30": {
"type": "string",
"validation": [{
"type": "string",
"options": {
"maxLength": 30
}
}],
style: "do_label_30",
required: false
}
The validation has to have the following structure:
{
'type': 'validationType', /*number, string, date, function, string, regex.*/
'value': valiationValue, //Optional but when need it is the value of the validator
'options': {'opt1': opt1Value, 'opt2': opt2Value, label: "property.name"} //Optional as its name says.
}
The number mean the property has to be a number, it will go through a isNaN
function after a cast into a int value with the + operator. This validation takes the following options
min: The minimum value authorize.
{"type":"number", "options": {"min": 1, "max": 30}}
The string validation will check that the property is a string. It takes the following options:
maxLength: The maximum length options, has to be an integer.
Example of declaration:
{
"type":"string",
"options": {"minLength": 1, "maxLength": 30}
}
This validation will takes the regex define into the value field and apply the following to test if the property value match the Regex: regexValue.test(propertyValue)
.
Note that regex takes no options.
Example of declaration:
{
"type":"regex",
"value": /^[a-zA-Z0-9][a-zA-Z0-9-]{1,61}[a-zA-Z0-9]\.[a-zA-Z]{2,}$/
}
//Define a function.
{
"type":"function",
"value": function(propertyValue, options){
return prop === true;
}
}
"DO_ENTIER": {
"type": "number",
"validation": [{
"type": "regex",
"value": "^\\d+$"
}],
},
"DO_DATE": {
"type": "date",
"validation": [{
"type": "date"
}]
},
"DO_LABEL_30": {
"type": "string",
"validation": [{
"type": "string",
"options": {
"maxLength": 30
}
}]
},
"DO_CUSTOM": {
"type": "date",
"validation": [{
"type": "function",
"value": function(propertyValue, options){
return prop === true;
}
}]
},
jfncjdnvcjdnj
//Function use to build the site description from the
var site = function (p) {
return {
headers: [{
name: "home",
url: "#home",
roles: ['ADMIN_GENERAL_CONSULT']
}, {
name: "centerStructure",
url: "#centerStructure/sites/siteList",
roles: ['STRUCT_SITE_CONSULT'],
headers: [{
name: "sites",
url: "#centerStructure/sites/siteList",
roles: ['STRUCT_SITE_CONSULT'],
requiredParams: ['sitId'],
headers: [{
name: "site",
url: "#centerStructure/sites/siteDetail/" + p.sitId.value,
roles: ['STRUCT_SITE_CONSULT']
}, {
name: "buildingList",
url: "#centerStructure/sites/siteDetail/" + p.sitId.value + "/buildingList",
roles: ['STRUCT_SITE_CONSULT'],
requiredParams: ['bldId'],
pages: [{
name: "building",
url: "#centerStructure/sites/siteDetail/" + p.sitId.value + "/buildingDetail/" + p.bldId.value,
roles: ['STRUCT_SITE_CONSULT']
}]
}]}]}],
pages: [
//Test page
{
name: "domainTest",
url: "#administration/domainTest",
roles: ['ADMIN_GENERAL_CONSULT']
}]
};
};
//Container for the module exports.
var siteDescription = {};
//Default name and value parameters.
var defaultParams = {
bldId: {
name: 'bldId',
value: ':bldId'
},
cslId: {
name: 'cslId',
value: ':cslId'
},
countryCode: {
name: 'countryCode',
value: ":countryCode"
},
vatCode: {
name: 'vatCode',
value: ":vatCode"
},
roleId: {
name: 'roleId',
value: ':roleId'
},
sitId: {
name: 'sitId',
value: ':sitId'
},
steId: {
name: 'steId',
value: ':steId'
}
};
//Exports ther params for initialization.
siteDescription.params = defaultParams;
//Function to build the site description depending on parameters.
siteDescription.value = function (params) {
//Extend the params.
var p = _.extend({}, defaultParams, params);
//Process the site description construction.
return site(p);
};
//Export site description.
module.exports = siteDescription;
Chrome provide us a really great dev tools, you have to get use to them.
You have to ge use to the fact that the console will be usefull.
Quality tools:


If you're responsible for their financial affairs
You can complete the form on behalf of someone else if you are responsible for their financial affairs because they have either:
- learning difficulties
- a condition which prevents them from managing their own affairs
Warning
You are responsible for making sure the information entered is correct and complete.
If you're just helping to complete the form
You should select the ‘myself’ option.
You can help to complete the form, but they are responsible for the information given.


localStorage
and connect to external APIs or databases.👉 Add a new file background.js
to the root of your project folder and paste this code.
// background.js
console.log("💥 Hello from background.js");
👉 Add a new file content.js
to the root of your project and paste this code.
// content.js
console.log("💥 Hello from content.js");
Manifest files use JSON, which has a strict syntax. If you have issues then try checking your manifest code using jsonlint.com.
manifest.json
to reference the new files.chrome://extensions
.{
"name": "Explode the Web! Tutorial",
"description": "🦆",
"version": "1.2.0",
"manifest_version": 3,
"background": {
"service_worker": "background.js"
},
"content_scripts": [{
"matches": ["<all_urls>"],
"js": ["content.js"]
}]
}
To find proof the extension is "working" and that the content script has loaded:
Content scripts are injected into each page, but you can also view messages from the scripts running in the background using DevTools:
chrome://extensions
and click on "Inspect views service worker".


Increased funding for NTPF as 86k children waiting to see specialist
by By Digital Desk staffThe high number of people waiting for outpatient appointments is a "particular challenge", according to the Health Minister.
Simon Harris says his department will be focusing on tackling the large volumes of children waiting to see a consultant.
He says funding for the National Patient Treatment Fund (NTPF) has been increased to address the issue.
Over 86,000 children are currently on waiting lists to see a hospital specialist.
The Minister for Health says there was a drop in the number of people on outpatient waiting lists last month.
"This month will show the same again and I expect we will see those numbers beginning to come down," he said.
"We have given the NTPF a budget of €100m for 2020, the largest budget it's had in many, many years, back to the levels it had before the crash and they're now devising plans as to how we can reduce them.
"But I agree when it comes to children there needs to be a particular focus in this area and I've asked that the NTPF will look at both children and gynecological services in terms of targetted initiatives for 2020."
it comes as 603 admitted patients are waiting for beds this morning, according to today’s INMO Trolley Watch. 396 are waiting in the emergency department, while 207 are in wards elsewhere in the hospital.
The worst-hit hospitals today are:
- University Hospital Limerick – 68
- Cork University Hospital – 47
- Mater Misericordiae University Hospital- 45
- South Tipperary General Hospital – 42
- Letterkenny University Hospital - 40


On February 26th, we won net neutrality so that no company or government can control what we see and do on the Internet.
On February 27th, to properly honor what we did together, we sent a message to every goliath monopoly, government, and institution of power in the world. If you mess with the Internet, the Internet will mess with you -- and we will always win.
Our messenger: a 2,000 square foot Grumpy Cat.
Want to understand net neutrality, and how it protects us from cable company misbehavior? Nobody explains it better than comedian John Oliver.


Shadowbab
A shadowverse deck comparison tool
Add Deck
Reset
Add a deck to get started
Cards in common
{{cards.get(card).cost}}
{{card}}
x{{num}}
Unique to deck {{parseInt(index)+1}}
{{cards.get(card).cost}}
{{card}}
x{{num}}


Financial Year Master:
- Go to Master Menu
Configuration Master.
- All category for gold, diamond, silver and alloy can be viewed in this screen
- This configuration will be configured by vendor and starting setup and then it can
be used at the time of transaction.
- A new category can be added in this screen, existing category can only be deactivated,
please use Active checkbox for activation and deactivation.


SplitterGadget()
Syntax
Result = SplitterGadget(#Gadget, x, y, Width, Height, #Gadget1, #Gadget2 [, Flags])Description
Creates a Splitter gadget in the current GadgetList. This gadget allows two child gadgets to be resized by the user with a separator bar.
Parameters
#Gadget A number to identify the new gadget. #PB_Any can be used to auto-generate this number. x, y, Width, Height The position and dimensions of the new gadget. #Gadget1, #Gadget2 The gadgets to be placed in the splitter. Flags (optional) Flags to modify the gadget behavior. It can be a combination of the following values: #PB_Splitter_Vertical : The gadget is split vertically (instead of horizontally which is the default). #PB_Splitter_Separator : A 3D-looking separator is drawn in the splitter. #PB_Splitter_FirstFixed : When the splitter gadget is resized, the first gadget will keep its size #PB_Splitter_SecondFixed : When the splitter gadget is resized, the second gadget will keep its size
Return value
Returns nonzero on success and zero on failure. If #PB_Any was used as the #Gadget parameter then the return-value is the auto-generated gadget number on success.
Remarks
A 'mini help' can be added to this gadget using GadgetToolTip().
The following functions can be used to act on a SplitterGadget:
GetGadgetState(): Get the current splitter position, in pixels.
SetGadgetState(): Change the current splitter position, in pixels.
GetGadgetAttribute(): With one of the following attribute:#PB_Splitter_FirstMinimumSize : Gets the minimum size (in pixels) than the first gadget can have. #PB_Splitter_SecondMinimumSize: Gets the minimum size (in pixels) than the second gadget can have. #PB_Splitter_FirstGadget : Gets the gadget number of the first gadget. #PB_Splitter_SecondGadget : Gets the gadget number of the second gadget.SetGadgetAttribute(): With one of the following attribute:#PB_Splitter_FirstMinimumSize : Sets the minimum size (in pixels) than the first gadget can have. #PB_Splitter_SecondMinimumSize: Sets the minimum size (in pixels) than the second gadget can have. #PB_Splitter_FirstGadget : Replaces the first gadget with a new one. #PB_Splitter_SecondGadget : Replaces the second gadget with a new one.Note: When replacing a gadget with SetGadgetAttribute(), the old gadget will not be automatically freed. It will instead be put back on the parent window of the Splitter. This allows to switch gadgets between splitters without the need to recreate any of them. If the old gadget should be freed, its number can first be retrieved with GetGadgetAttribute(), and the gadget freed with FreeGadget() after it has been replaced. Note that a gadget cannot be in two splitters at once. So to move a gadget from one splitter to another, it first needs to be replaced in the first splitter so it is on the main window and then it can be put into the second splitter.
Example
If OpenWindow(0, 0, 0, 230, 180, "SplitterGadget", #PB_Window_SystemMenu | #PB_Window_ScreenCentered) #Button1 = 0 #Button2 = 1 #Splitter = 2 ButtonGadget(#Button1, 0, 0, 0, 0, "Button 1") ; No need to specify size or coordinates ButtonGadget(#Button2, 0, 0, 0, 0, "Button 2") ; as they will be sized automatically SplitterGadget(#Splitter, 5, 5, 220, 120, #Button1, #Button2, #PB_Splitter_Separator) TextGadget(3, 10, 135, 210, 40, "Above GUI part shows two automatically resizing buttons inside the 220x120 SplitterGadget area.",#PB_Text_Center ) Repeat Until WaitWindowEvent() = #PB_Event_CloseWindow EndIf
See Also
GetGadgetState(), SetGadgetState(), GetGadgetAttribute(), SetGadgetAttribute()
Supported OS
All


--- layout: post title: At the airport description: People waiting at Brussels airport, sketch date: '2019-02-29 10:10:12 +0100' categories: - Sketchbooks - Sketches ---
People waiting at Brussels airport, from sketchbook.


Bio
I’m a statistician working at Queensland University of Technology on a range of environmental and environmental health problems such as jaguar conservation, reef conservation, and air pollution and its health impacts. In addition, I teach mathematics and statistics to first year science students in the unit SEB113 - Quantitative Methods in Science.
Much of my work makes use of the following techniques, which one could consider my research interests
- Generalised Additive Models
- Spatial and spatio-temporal statistics
- Bayesian hierarchical linear models
- Exposure-response models
Recent employment
From 2016 I have been employed as a Postdoctoral Fellow at the QUT node of the ARC Centre of Excellence for Mathematical and Statistical Frontiers, working on a variety of environmental statistics problems such as coral cover in the Great Barrier Reef and jaguar conservation in Peru as well as the dynamics of dengue fever.
Between 2013 and 2015 I was employed as a Postdoctoral Fellow at the International Laboratory for Air Quality and Health (ILAQH) to support the research being done across a variety of topics in air quality. The bulk of my postdoctoral work at ILAQH was related to the Ultrafine Particles from Traffic Emissions and Children’s Health project. The project seeks to determine the effect of the exposure to airborne nano and ultrafine (UF) particles emitted from motor vehicles on the health of children in schools.
Between 2009 and 2013 I was a PhD student at ILAQH under the supervision of Professors Lidia Morawska and Kerrie Mengersen and Dr Sama Low Choy.
| Citation | Description |
|---|---|
| S. Clifford (2013) | Spatio-temporal modelling of ultrafine particle number concentration - Using the Generalised Additive Model to model temporal trends in ultrafine particle number concentration with penalised splines and spatial trends with Gaussian Markov Random fields. |
| Clifford (2008) | Honours thesis on dispersion of a compount in shear-augmented flow |
My undergrad was in applied and computational mathematics, focussing on fluid dynamics in my honours year. Over time, I drifted towards Bayesian statistical modelling, where I use semi-parametric regression and hierarchical modelling for spatial, temporal, and spatio-temporal modelling.
Other places on the internet
Occasionally, I blog about my research and you can find more about my
publication history at QUT ePrints and Google Scholar. Occasionally I
publish useful code, including a package for tidying MCMC output from
coda
or rjags
entitled mmcc
, and a
package to bring some of the common linear model diagnostics like
variance inflation factors and tables of confidence intervals to GAMs
from mgcv
in
mgcv.helper
.
A selected list of publications is shown below, indicating recent projects I’ve been involved with and key papers I’ve written. A full list of publications is available here.
Biostatistics for virus dynamics
I am working with colleagues at QUT and QIMR to investigate the replication and spread of Dengue fever. The work involves mathematical and statistical modelling of the dynamics of the virus cell, the host and transmission within the population.
Citizen science for spatial statistics
Recent work at ACEMS has focussed on incorporating citizen scientists into traditional spatio-temporal modelling such as species distribution modelling of jaguars and coral cover.
The Monitoring Through Many Eyes is a collaboration between scientists, data analysts and marine explorers, working together to document, analyse and predict the health of the Great Barrier Reef. The aim is to tap into the power of Citizen Scientists by collating thousands of underwater images take by recreational divers and snorkelers on the Reef each year.
Through our Many Eyes on the Wild, we aim to facilitate faster, better decisions about management and monitoring. We are developing and using these approaches to help conserve jaguars in the Peruvian Amazon. We are addressing this problem by combining traditional conservation with virtual reality technology, mathematical and statistical modelling, local knowledge and international expertise.
| Citation | Description |
|---|---|
| Clifford and others (n.d.) | Spatio-temporal model of coral cover derived from traditional monitoring and citizen science elicitation of captured images |
| Vercelloni et al. (2017) | Gathering information from experts and citizen scientists in a virtual environment to understand what people believe makes an aesthetically pleasing reef |
| Mengersen et al. (2017) | Spatial modelling of presence only data with a variety of statistical and machine learning techniques |
| Bednarz et al. (2016) | Using virtual environments to elicit information about ecosystems |
Urban air pollution and its health effects
Research from my PhD and postdoctoral time with ILAQH has resulted in a number of papers looking at spatio-temporal modelling of urban air pollution with a view to estimating human exposure and modelling its health impact.
| Citation | Description |
|---|---|
| Clifford et al. (2018) | Main UPTECH paper detailing the inflammatory and pulmonary response to ultrafine particles |
| Morawska et al. (2017) | Indoor sources of exposure in the home, office, school and aged care facilities |
| M. M. Rahman, Yeganeh, et al. (2017) | Land use regression modelling with variable selection of NOx and NO2 concentrations |
| M. M. Rahman, Mazaheri, et al. (2017) | Bayesian GAMs used to model urban background particle concentrations and the contribution of new particle formation |
| Yeganeh et al. (2017) | Application of statistical and machine learning models used to estimate air pollution concentrations from satellite imagery |
| Salthammer et al. (2016) | Impact of climate and air pollution on children’s health at school |
| Toms et al. (2015) | Multinomial regression modelling to look at the relative proportions of various polybrominated diphenyl ethers across classrooms |
| Clifford et al. (2014) | Mathematical and statistical models for particle deposition inside the lung |
| Mazaheri et al. (2014) | Analysis of inhaled particles in primary school children |
| S. Clifford, Low Choy, et al. (2013) | Spatio-temporal model in INLA of air pollution in Brisbane, Australia |
Non-parametric modelling of time series data
I am currently working on simulation studies for two papers with a former ACEMS PhD student, Dr Zoe van Havre, where we are looking at finite and infinite mixture modelling methods for classifying action potential data from EEG scans. Early work in my PhD focussed on modelling temporal variation without spatial structure.
| Citation | Description |
|---|---|
| van Havre et al. (2017) | Overfitted mixtures and Dirichlet process mixtures for spike classification |
| S. Clifford and Low Choy (2012) | A book chapter on various implementations of Bayesian spline regression |
| S. Clifford, Mølgaard, et al. (2012) | A preprint of an unpublished paper looking into Bayesian GAMs with autocorrelated errors |
| Clifford et al. (2011) | Using GAMs to model temporal trends and covariate effects for PNC in Helsinki, Finland |
Atmospheric processes and instrumentation
| Citation | Description |
|---|---|
| Salimi et al. (2017) | New particle formation typically occurs during daylight; here we investigate evidence of night time events |
| Rivas et al. (2017) | Identification of problems with DustTrak performance seen during measurement campaigns – indicating conditions under which this instrument shouldn’t be used |
| Jayaratne, Clifford, and Morawska (2015) | Predictive model for whether or not midday new particle formation events will occur based on morning PM10 and visibility |
| Stevanovic et al. (2015) | Semi-parametric regression used to model particle losses in aerosol measuring equipment |
Teaching
Since 2013 I have been involved in the development and delivery of SEB113 - Quantitative Methods for Science as part of the ST01 Bachelor of Science course at Queensland University of Technology. The course covers a variety of mathematical and statistical topics taught through scientific case studies and makes use of the R language for all computation.
In 2015, the teaching team was the recipient of the Vice Chancellor’s Performance Award for innovation in redesiging the unit for student success through encouraging engagement with multiple technologies.
| Citation | Description |
|---|---|
| Czaplinski et al. (2016) | Redesign of a first year unit with blended learning to improve student engagement and success |
References
Bednarz, Tomasz, June Kim, Ross Brown, Allan James, Kevin Burrage, Sam Clifford, Jacqueline Davis, et al. 2016. “Virtual Reality for Conservation.” In Proceedings of the 21st International Conference on Web3d Technology, 177–78. ACM. https://doi.org/10.1145/2945292.2945319.
Clifford, Sam. 2008. “An Analysis of Shear-Augmented Dispersion with Analytical and Numerical Methods.” Honours Thesis, School of Mathematical Sciences, Queensland University of Technology.
———. 2013. “Spatio-Temporal Modelling of Ultrafine Particle Number Concentration.” Doctoral Thesis, School of Chemistry, Physics; Mechanical Engineering, Queensland University of Technology. https://eprints.qut.edu.au/63528/.
Clifford, Sam, and Sama Low Choy. 2012. “Case Studies in Bayesian Statistical Modelling and Analysis.” In, edited by Clair Alston and Kerrie Mengersen, 197–220. Wiley Series in Probability and Statistics. Wiley. http://au.wiley.com/WileyCDA/WileyTitle/productCd-1119941822.html.
Clifford, Sam, Sama Low Choy, Tareq Hussein, Kerrie Mengersen, and Lidia Morawska. 2011. “Using the Generalised Additive Model to Model the Particle Number Count of Ultrafine Particles.” Atmospheric Environment 45 (32):5934–45. https://doi.org/10.1016/j.atmosenv.2011.05.004.
Clifford, Sam, Sama Low Choy, Mandana Mazaheri, Farhad Salimi, Kerrie Mengersen, and Lidia Morawska. 2013. “A Bayesian Spatio-Temporal Model of Panel Design Data: Particle Number Concentration in Brisbane, Australia.” arXiv, no. 1206.3833. http://arxiv.org/abs/1206.3833.
Clifford, Sam, Mandana Mazaheri, E. R. Jayaratne, M. A. Megat Mokhtar, F. Fuoco, G. Buonanno, and L. Morawska. 2014. “Estimation of Inhaled Ultrafine Particle Surface Area Dose in Urban Environments.” ANZIAM Journal 55:C437–C447. https://doi.org/10.21914/anziamj.v55i0.7819.
Clifford, Sam, Mandana Mazaheri, Farhad Salimi, Wafaa Nabil Ezz, Bijan Yeganeh, Samantha Low Choy, Katy Walker, Kerrie Mengersen, Guy B. Marks, and Lidia Morawska. 2018. “Effects of Exposure to Ambient Ultrafine Particles on Respiratory Health and Systemic Inflammation in Children.” Environment International.
Clifford, Sam, Bjarke Mølgaard, Jukka Corander, Kaarle Hämeri, Sama Low Choy, Kerrie Mengersen, and Tareq Hussein. 2012. “Bayesian Semi-Parametric Forecasting of Particle Number Concentration: Penalised Splines and Autoregressive Errors.” arXiv, no. 1207.0558. http://arxiv.org/abs/1207.0558.
Clifford, Sam, and others. n.d. “Combining Citizen Science and Traditional Monitoring Data in Modelling Coral Cover on the Great Barrier Reef.”
Czaplinski, Iwona, Sam Clifford, Ruth Luscombe, and Brett Fyfield. 2016. “A Blended Learning Model for First Year Science Student Engagement with Mathematics and Statistics.” http://eprints.qut.edu.au/96972/.
Jayaratne, E. R., S. Clifford, and L. Morawska. 2015. “Atmospheric Visibility and PM**10 as Indicators of New Particle Formation in an Urban Environment.” Environmental Science & Technology 49 (21):12751–7. https://doi.org/10.1021/acs.est.5b01851.
Mazaheri, Mandana, Sam Clifford, Rohan Jayaratne, Megat Azman Megat Mokhtar, Fernanda Fuoco, Giorgio Buonanno, and Lidia Morawska. 2014. “School Children’s Personal Exposure to Ultrafine Particles in the Urban Environment.” Environmental Science and Technology 48 (1):113–20. https://doi.org/10.1021/es403721w.
Mengersen, Kerrie, Erin E. Peterson, Samuel Clifford, Nan Ye, June Kim, Tomasz Bednarz, Ross Brown, et al. 2017. “Modelling Imperfect Presence Data Obtained by Citizen Science.” Environmetrics 28 (5). Wiley. https://doi.org/10.1002/env.2446/.
Morawska, L., G.A. Ayoko, G.N. Bae, G. Buonanno, C.Y.H. Chao, S. Clifford, S.C. Fu, et al. 2017. “Airborne Particles in Indoor Environment of Homes, Schools, Offices and Aged Care Facilities: The Main Routes of Exposure.” Environment International 108 (Supplement C):75–83. https://doi.org/10.1016/j.envint.2017.07.025.
Rahman, M. M., Mandana Mazaheri, Sam Clifford, and Lidia Morawska. 2017. “Estimate of Main Local Sources to Ambient Ultrafine Particle Number Concentrations in an Urban Area.” Atmospheric Research 194. Elsevier:178–89. https://doi.org/10.1016/j.atmosres.2017.04.036.
Rahman, M. M., Bijan Yeganeh, Sam Clifford, Luke Knibbs, and Lidia Morawska. 2017. “Development of a Land Use Regression Model for Daily NO2 and NOx Concentrations in the Brisbane metropolitan area, Australia.” Environmental Modelling and Software 95:168–79. https://doi.org/10.1016/j.envsoft.2017.06.029.
Rivas, Ioar, Mandana Mazaheri, Mar Viana, Teresa Moreno, Samuel Clifford, Congrong He, Oliver F Bischof, et al. 2017. “Identification of Technical Problems Affecting Performance of Dusttrak Drx Aerosol Monitors.” Science of the Total Environment 584. Elsevier:849–55. https://doi.org/10.1016/j.scitotenv.2017.01.129.
Salimi, Farhad, Md Rahman, Sam Clifford, Zoran Ristovski, Lidia Morawska, and others. 2017. “Nocturnal New Particle Formation Events in Urban Environments.” Atmospheric Chemistry and Physics 17 (1). Copernicus GmbH:521–30. https://doi.org/10.5194/acp-17-521-2017.
Salthammer, Tunga, Erik Uhde, Tobias Schripp, Alexandra Schieweck, Lidia Morawska, Mandana Mazaheri, Sam Clifford, et al. 2016. “Children’s Well-Being at Schools: Impact of Climatic Conditions and Air Pollution.” Environment International 94. Pergamon:196–210. https://doi.org/10.1016/j.envint.2016.05.009.
Stevanovic, S., B. Miljevic, P. Madl, S. Clifford, and Z. Ristovski. 2015. “Characterisation of a Commercially Available Thermodenuder and Diffusion Drier for Ultrafine Particles Losses.” Aerosol and Air Quality Research 15 (1):357–63. https://doi.org/10.4209/aaqr.2013.12.0355.
Toms, L., M. Mazaheri, S. Brommer, S. Clifford, D. Drage, J. Mueller, P. Thai, S. Harrad, L. Morawska, and F. Harden. 2015. “Brominated Flame Retardants in Primary Schools: Sources and Exposures.” Environmental Research 142:135–40. https://doi.org/10.1016/j.envres.2015.06.007.
van Havre, Zoé, Nicole White, Judith Rousseau, Sam Clifford, and Kerrie Mengersen. 2017. “Clustering Action Potential Spikes: Insights on the Use of Overfitted Finite Mixture Models and Dirichlet Process Mixture Models.” Australia and New Zealand Journal of Statistics under review.
Vercelloni, Julie, Sam Clifford, Alan R Pearse, Ross Brown, Allan James, Bryce Christensen, Tomasz Bednarz, et al. 2017. “Understanding Aesthetic Attributes of Coral-Reefs: Using Virtual Reality to Support Conservation of Ecosystem Services.” Nature Scientific Reports submitted.
Yeganeh, Bijan, Michael G Hewson, Samuel Clifford, Luke D Knibbs, and Lidia Morawska. 2017. “A Satellite-Based Model for Estimating PM**2.5 Concentration in a Sparsely Populated Environment Using Soft Computing Techniques.” Environmental Modelling & Software 88. Elsevier:84–92. https://doi.org/10.1016/j.envsoft.2016.11.017.


Heron Foods to open a new store in Westerhope and promise top quality products at low prices
Bargain store Heron Foods has plenty of loyal customers and is opening up a new branch on Tyneside
by Simon DukeIt's one of those shops whose prices often have to be seen to be believed and there will soon be more bargains to be had when Heron Foods opens a new store on Tyneside.
There is already a number of popular branches of Heron in the region, in the likes of Gateshead , Kenton and even in Newcastle city centre but there will soon be another one to go wild in the aisles in.
On Thursday, November 21 Heron will open a new store at Newbiggin Lane in Westerhope with the promise of 'top quality products at low prices'.
If you've ever shopped at Heron, you'll know that there are plenty of cracking deals to take advantage of from crisps and drinks to frozen foods, so it should be exactly the same in Westerhope.
A glance at Heron's Facebook page reveals current deals include its party food range, available in store from £1.50; five packs of McVitie's Unicorn Cakes for 59p; 3 Bisto and Sharwood’s ready meals for £3 including Cottage Pie and Chicken Tikka Masala and Old El Paso Extra Mild Enchilada Kit for only £1.
And with Christmas on the way, there'll only be more tempting offers to come!


Having got rid of your piles yesterday by smearing yourself with boar's grease, it's time for a treat. Here is a splendid snacking idea from the Book Of Fruits & Flowers:
To make Printed Quidony of Quinces. Take two pound of Quinces, paired, coared, and cut in small pieces, and put them into a faire posnet, with a quart of faire water, and when they are boyled tender, put into them one pound of Sugar clarified, with halfe a pint of faire water, let them boyle till all the fruit fall to the bottom of the posnet, then let the liquid substance run through a faire linnen cloath into a clean bason, then put it into a posnet, and let it boyle till it come to a jelly, then Print it in your Moulds, and turne it into your boxes. You shall know when it is ready to Print, by rouling it on the back of a Spoone.


|
Petri Net Plans
|
Classes | |
| class | XMLPnpPlanInstantiator |
| A xml plan loader for basic PnpPlans. More... | |
| class | ConditionChecker |
| The base class for parser-based condition checkers. More... | |
| class | ExternalConditionChecker |
| A class to test atomic conditions not related to an action. More... | |
| struct | Node |
| struct | Transition |
| struct | Place |
| struct | EdgePlace |
| class | ConditionScanner |
| A helper class for lexer-parser comunication. More... | |
| class | PetriNet |
| struct | EqualPredicate |
| struct | PlanObserver |
| class | PnpAction |
| Base class for all actions. More... | |
| class | ActionFactory |
| Stores the prototypes of the actions in a map that the ExecutableInstantiator can use to return actions. More... | |
| class | PnpActionLoaderTxt |
| class | PnpExecutable |
| The interface for executables (i.e. actions and plans). More... | |
| class | PnpExecuter |
| The Main class for executing Petri Net Plans. More... | |
| class | ExecutableInstantiator |
| The interface for classes accountable for the creation of plans and actions. More... | |
| struct | PnpTransition |
| struct | PnpPlace |
| class | PnpPlanTemplate |
| A generic plan. More... | |
| class | MapSecondArgument |
Typedefs | |
| typedef PnpPlanTemplate < PnpPlace, PnpTransition > | PnpPlan |
| Definition of PnpPlan to simplify the code. | |
Functions | |
| std::vector< std::string > | tokenize (std::string s, const std::string &seps) |
| std::vector< std::string > | tokenizeWithQuotes (std::string s, const std::string &seps) |
| std::string | trim (const std::string &s) |
| bool | parsePlaceString (const std::string &PlaceString, std::string &functionToCall, int &goalMarking, int &failMarking) |
| bool | parseTransitionString (const std::string &TransitionString, std::string &guardCondition, std::vector< std::string > &functionsToCall) |
Definition of PnpPlan to simplify the code.
| bool PetriNetPlans::parsePlaceString | ( | const std::string & | PlaceString, |
| std::string & | functionToCall, | ||
| int & | goalMarking, | ||
| int & | failMarking | ||
| ) |
| bool PetriNetPlans::parseTransitionString | ( | const std::string & | TransitionString, |
| std::string & | guardCondition, | ||
| std::vector< std::string > & | functionsToCall | ||
| ) |
| std::vector<std::string> PetriNetPlans::tokenize | ( | std::string | s, |
| const std::string & | seps | ||
| ) |
| std::vector<std::string> PetriNetPlans::tokenizeWithQuotes | ( | std::string | s, |
| const std::string & | seps | ||
| ) |
| std::string PetriNetPlans::trim | ( | const std::string & | s | ) |


This map was produced using the ArcGIS hydrology toolset, which is available with the spatial analyst license. First, a USGS digital elevation model was downloaded and processed to smooth out any areas that were entirely surrounded by higher topography. Then, a flow direction raster and a flow accumulation raster were generated from the DEM. Next, I manually entered pour points where Swan Creek's extent ended and the watershed reach its final drainage point. Using the watershed tool, the flow direction/accumulation, and the pour points, I was finally able to generate a raster representing the limits of the Swan Creek Watershed. This was converted to a polygon for ease of visibility.


NGI Stockholm - System Status
00:00
Monday 01
st
January
Library Prep Queue
Sequencing Queue
Analysis Queue
User Affiliations
Throughput
Delivery Times
Sequencing Yield


Exotic Manali
MANALI
Rs:-20,000 (per. person)
Destination & Night stays:-
4 Nights,5 days
Chandigargh to chandigarh
Departure dates:-
May 2018-25,28
June 2018-1,3,6,8,11,15
Country:-India
Cities & Landmarks :-Chandigargh,Manali,Rohtang pass,solang valley,etc.
Day 1:-Chandigargh Airport / Station - Hotel
Arrive at Chandigargh Airport or Thivim Station and proceed for your transfer to your hotel. Then we proceed to Manali by enjoying a scenic drive through Pandoh Dam and Kullu Valley.
En route we visit Kullu Shawl Factory where you can buy woollen products. Late night check in Manali Hotel.
Day 2:-Manali – mall road
Today we explore the ancient temples like Vashista Kund and Hadimba Mandir. We have free time for shopping in the evening on mall road.
Day 3:-Manali – Solang Valley – Manali
Today we proceed to Solang Valley – A splendid valley between Solang village which offers the view of glaciers and snow-capped mountains. We enjoy Ropeway ride at Solang Valley. Later enjoy the optional adventure activities like Horse riding, Skiing, Ice skating, Paragliding, mountain bike, snow scooter, Zorbing at your own. Free time to explore Manali.
Day 4:-Manali - Rohtang Snow Point – Manali
Today we enjoy spectacular drive towards Rohtang snow point. Free time to play and enjoy in the snow. Please Note: Rohtang pass is 51 kms. Away from Manali. This Pass is not accessible for almost 8 months in a year as it is covered by snow. We generally visit the snow point on Rohtang road, which has been permitted by the Border Security Force. Entertain yourself through spectacular Himachali folk dance.
Day 5:-Manali - Chandigarh (1 Night)
Today we proceed to Chandigarh - the capital of Punjab and Haryana We enjoy water rafting in Beas river (subject to operation). Drop on airport/station.Tour concludes.!!!


 This collar for dogs is extra
robust due to strain relief.
DURABLE & TEAR PROOF- This sturdy collar is very durable and tear proof and soft on your dogs
skin.
FULLY ADJUSTABLE- This collar is fully adjustable; you can adjust the size according to the neck of your pooch so
that they feel comfortable during their outdoor activities.
EASY TO CLEAN- Trixie dog collars are smell-proof, waterproof and easier to clean than regular
collars.
STEEL HOOK- This dog collar comes with a steel hook that helps in connecting the collar end to end.
Product Description
Trixie premium dog collar has a high-quality nylon strap. This collar for dogs is extra robust due to strain relief. It is durable and tear proof. It is fully adjustable to your dog's
neck. This collar is best for dog training. It will be the right collar for your dog. Trixie is a German brand specialized in accessories for pets in general.
Measurement
Small-Medium: 30-45 cm (15mm)


--- layout: post title: ! 'GATK: The Genome Analysis Toolkit' categories: - Bioinformatics - NGS - Software tags: - GATK - NGS - SNP - Software - Variation Discovery published: true comments: true ---
The GATK is a structured software library that makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner.
We aim to work well with both samtools and Picard by providing complementary tools to those available in those two packages. Our SNP calling pipeline (Q score recalibration -> multiple sequence realignment -> snp/index calling) is a particular area of focus, and have been pushing to make these capabilities as general-purpose and powerful as possible. My group's mandate is to ensure the success of the human medical resequencing projects we've undertaken at the Broad over the next 2-3 years, which involves providing a robust, production-quality development library that underlies tools for common analysis problems (like SNP calling) as well as enabling exploratory research on NGS data.
Take a look at File:CBBO 100709 v3.pptx.pdf to view a presentation that provides an introduction to some of the capabilities of the GATK and its application to the 1000 Genomes project.


This dialog displays the key used to encrypt the plaintext that has been found by automatic analysis of the Hill encryption algorithm.
If the Encrypt field is activated (i.e. the radial button next to that option is enabled) the key used for encryption is displayed. A field can be activated by a mouse click. On the other hand if the Decrypt option is activated, the key used for decryption is displayed. This is useful in order to avoid having to repeat the Known Plaintext attack if by mistake you entered the plaintext as the encrypted text (or vice versa) in the Hill cipher Analysis dialog. On clicking this field, the key entered is displayed.
This dialog is also used to display the key with which a document is encrypted when the Hill encryption algorithm has been used (see Show Key function). The keys for all the other encryption algorithms are displayed in the Key dialog.


Text fields typically reside in forms but can appear in other places, like dialog boxes and search.
Text fields allow users to input, edit, and select text.
Input text can be used with autocomplete to help users who have limited literacy or who write in a foreign language. For example, autocomplete can:
Pressing the return button accepts the current autocomplete suggestion.
Reduce the opacity of suggested text, while keeping typed text at full opacity.
Placeholder text rests in the input field until the user starts entering text. It may contain an action or an example, such as a phone number or email address.
Placeholder text can be displayed in an empty text field until input is entered.
Placeholder text
Padding above label: 16dp
Padding above placeholder text: 8dp
Padding below placeholder text: 8dp
Helper text gives context about a field’s input, such as how the input will be used. It should be visible either persistently or only on focus.
Specs:
Helper text can provide additional context below the text field.
Helper text
Padding above helper text: 8dp
Helper text can support placeholder text in guiding the user.
When input isn’t accepted, text fields can display an error message below the input line, with instructions on how to fix the error. Until the error is fixed, the error replaces the helper text.
An error message should appear on a single line, if possible.
An error message helps guide the user to fix invalid input.
Error message
Padding above the error message: 8dp


"Sometimes when you innovate, you make mistakes. It is best to admit them quickly, and get on with improving your other innovations"
"For everyone who exalts himself will be humbled, and everyone who humbles himself will be exalted."
Fusce quis interdum ipsum.Suspendi suscipit vehicula sapienid mattis. Lorem ipsum amet consectetur.
Fusce quis interdum ipsum.Suspendi suscipit vehicula sapienid mattis. Lorem ipsum amet consectetur.
Fusce quis interdum ipsum.Suspendi suscipit vehicula sapienid mattis. Lorem ipsum amet consectetur.


Preparation time
30 mins to 1 hour
Cooking time
less than 10 mins
Serves
6 pancakes
Dietary
Serve these Pancake Day pancakes the classic way with a drizzle of lemon and some caster sugar, or splodge with chocolate sauce or maple syrup for a real treat.
Mix the flour and salt together in a large bowl.
Make a well in the centre and crack in the eggs.
In a separate bowl mix together the milk and the water.
Beat the eggs into the flour with a wooden spoon and gradually beat in the milk and water mixture to get a smooth liquid the consistency of single cream.
Stir in the oil and allow to stand for 30 minutes before using.
Heat a non-stick frying pan until very hot, then add a small knob of butter. Ladle in a ladleful of the batter, quickly turning the pan to coat the base evenly with the batter. Cook for 30 seconds to one minute, until the base is lightly browned.
Using a palette knife, gently flip the pancake over and cook on the other side for a few seconds, until lightly browned. Slide the pancake onto a plate, cover with greaseproof paper and keep warm. Repeat the process with the remaining batter.
To serve, sprinkle the pancakes with caster sugar and lemon juice, then fold twice to form triangles. Serve the lemon wedges alongside.


--- layout: post title: "Safe Selling Online" subtitle: "How to stay safe when selling items Online." date: 2019-11-09 23:45:13 -0400 background: '/img/sellerStock/handingBag.jpg' author: JoCee Porter ---
We live in a day, where strangers aren’t nearly the threat that they were. Stranger danger rules taught to us as children, are disregarded as we get into their cars, and stay in their houses. Technology has provided safety allowing us to give trust to strangers… but not entirely. There are still many situations you want to avoid, and when selling things online, there are some basic guidelines to follow to stay safe, and to avoid scams.
Did you know that you can look people up on Facebook from their phone number? Yeah, we know, super creepy. After hearing this, we really want to keep phone numbers limited to friends and people we trust. But what about selling online? KSL, Craig’s List and other online marketplaces require a phone number in order to use the platform.
Instead of using your real phone number, set up a (free) google voice number. You can install the google voice app on your phone, and it send texts and ring directly to your phone. How cool is this? No more giving out your real number to any stranger online.
Platforms that use internal chat applications such as Facebook Marketplace or PoshMark don’t have this issue. The handle the conversation, and you can easily block someone from contacting you again.
Counties all over the country have began putting in Safe Exchange Points specifically for online transactions. A Safe Exchange Point is a designated area that is under 24-hr surveillance, if anything goes wrong, it is recorded, and help is nearby. These points are in public areas, and are often near a police station, or government building. Cities understand that selling items online to strangers is totally normal. They are encouraging these transactions, while enforcing your safety. All parties who meet at a Safe Exchange Point will be safe. Next time you have a buyer who makes you a little uneasy, but you want to continue the transaction, suggest meeting at a Safe Exchange Point!
If there is any questions about the transaction, it is best to leave a trail. Paper, or electronic, doesn’t matter. Request payment through Venmo, PayPal, or whatever app is cool these days, to accept the payment. Write a receipt for the transaction, and keep a copy for your self. Get that receipt signed to be extra safe. Whatever you need to do to leave a paper trail to what you just sold (this is also a useful trick for buying and item), that the transaction was complete, and the item was accepted in the condition.
KSL and Craigslist don’t offer reviews, but many other platforms do. Check for reviews of buyers before selling an item. If they have high reviews, then they are probably a safe person to sell to. If there are very poor reviews, well, you might consider choosing a different buyer. We go by a 3 star, 3 review requirement. If someone has an average of 3 stars, and at least 3 reviews, they are probably safe to sell items to. (PSA: Facebook Marketplace is removing Buyer Ratings soon!)
Unless you are selling on Poshmark, Mercari, or a platform that supports shipping, you should never ship your items. Even if someone asks you to ship an item, and insists by paying for the shipping costs. Almost all frauds and scams we have experienced have happened when shipping an item. Seriously. If you ship an item, you cannot guarantee that it arrived safely. You cannot guarantee the receipt of your money. It is hard to report fraud to a platform for a refund, if you ship the item. If someone on KSL, Craiglist, or Facebook Marketplace ask you to ship something, either take it to a selling platform that backs shipping, or just say no.
Selling can be completely safe. There are easy tips and tricks to avoid dangerous encounters with strangers when selling, and to avoid being scammed. The biggest rule though, is use your gut. Seriously. If something feels uncertain, than pick a different buyer. Simple as that!


await wait(futures)
result = await c.submit(sum, futures, workers=a.address)
for dep in set(a.dep_state) - set(a.task_state):
a.release_dep(dep, report=True)
n_worker_address = n.worker_address
await wait(futures)
result = await c.submit(sum, futures, workers=a.address)
deps = [dep for dep in a.tasks.values() if dep.key not in a.data_needed]
for dep in deps:
a.release_key(dep.key, report=True)


Celeste Feedings
Celeste was last fed
Last ten feedings:
Set time and date (Optional):
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Google Home Triggers:
To record a feed, say:
I just fed Celeste
or
I am feeding Celeste
or
I'm feeding Celeste
To find out when the last feeding was, say:
What time did we feed Celeste?
or
What time was Celeste last fed?
or
When did we feed Celeste?


-
local_diningAboutMexican cuisine, $$
-
placeContact Us102 Norfolk St New York, NY 10002
(212) 432-4180 -
whatshotReviewsMost Recent ReviewAmy, 10/23/2011
Beef wasn't well cooked...way too chewy and unseasoned. Probably wouldn't return again. But everything else wasn't bad...I will say, for vegetarians, it does have a redeeming factor: they do have a temporary buy-one-get-one deal for vegetarian tacos during certain hours. So perhaps if you're looking for a cheap, vegetarian meal in NYC for you and a friend...maybe you can stop by here. Just don't get the beef.


Find Marketing Tactics and Strategies That Fit Your Business' Needs
Ranked by difficulty and packed with resources, you're sure to find one that will work for you.
{% extends "base.html" %} {% block content %}
Ranked by difficulty and packed with resources, you're sure to find one that will work for you.


Interviewing stakeholders in the company to understand business need Interviewing several clients to understand the way they are using this page and what is important to them Collaborating with product and engineering to create the final design concept Leading the design of specific features and experiences on the page
One of the most common actions for incident is reassign, so the assignee is always visible and editable


barebonesCoNet.Rd
Build a network using Pearson, Spearman, Euclidean, Kullback-Leibler and/or Bray-Curtis.
The original CoNet implementation with extended functionality is available at: http://systemsbiology.vub.ac.be/conet.
For export of data to the original CoNet, see exportToCoNet
, for a generic network building function wrapping
barebonesCoNet and other network inference methods, see buildNetwork
.
barebonesCoNet( abundances, metadata = NULL, methods = c("spearman", "kld"), T.up = NA, T.down = NA, method.num.T = 2, pval.T = 0.05, init.edge.num = max(2, round(sqrt(nrow(abundances)))), min.occ = round(ncol(abundances)/3), keep.filtered = TRUE, norm = FALSE, stand.rows = FALSE, clr = FALSE, pval.cor = FALSE, permut = FALSE, columnwise = FALSE, renorm = FALSE, permutandboot = FALSE, iters = 100, bh = TRUE, pseudocount = 1e-11, plot = FALSE, verbose = FALSE )
| abundances | a matrix with taxa as rows and samples as columns |
|---|---|
| metadata | an optional data frame with metadata items as columns, where samples are in the same order as in abundances and all items are numeric; a bipartite network will be computed |
| methods | network construction methods, values can be combinations of: "pearson", "spearman", "kld", "euclid" or "bray"; note that the latter two are not defined for negative abundance values |
| T.up | upper threshold for scores (when more than one network construction method is provided, init.edge.num is given and/or p-values are computed, T.up is ignored) |
| T.down | lower threshold for scores (when more than one network construction method is provided, init.edge.num is given and/or p-values are computed, T.down is ignored) |
| method.num.T | threshold on method number (only used when more than one method is provided) |
| pval.T | threshold on p-value (only used when permut, permutandboot or pval.cor is true); if several methods are provided, only applied after merge |
| init.edge.num | the number of top and bottom initial edges (init.edge.num overrides T.up/T.down, set to NA to respect T.up/T.down for a single method) |
| min.occ | only keep rows with at least the given number of non-zero values (carried out before network construction) |
| keep.filtered | sum all filtered rows and add the sum vector as additional row |
| norm | normalize matrix (carrried out after filtering) |
| stand.rows | standardize rows by dividing each entry by its corresponding row sum, applied after normalization |
| clr | apply CLR transform (after filtering and normalization); if true, stand.rows is ignored and keep.filtered is set to true; pseudocount is ignored for clr ( |
| pval.cor | compute p-values of correlations with cor.test (only valid for correlations; takes precedence over permut and permutandboot with or without renorm) |
| permut | compute edge-specific p-values with a permutation test |
| columnwise | permute columns instead of rows for the permutation test |
| renorm | use renormalization when computing permutation distribution (only applied to correlations; cannot be combined with metadata) |
| permutandboot | compute p-values from both permutation (with or without renorm) and bootstrap distribution |
| iters | number of iterations for the permutation and bootstrap distributions |
| bh | multiple-test-correct using Benjamini-Hochberg; if several methods are provided bh is applied to merged p-value |
| pseudocount | count added to zeros prior to taking logarithm (for KLD, p-value merge and significance) |
| plot | plot score or, if permut, permutandboot or pval.cor is true, p-value distribution, in both cases after thresholding |
| verbose | print the number of positive and negative edges and, if permut, permutandboot or pval.cor is true, details of p-value computation |
igraph object with edge weights being either association strengths (single method), the number of supporting methods or, if permut, permutandboot or pval.cor is true, significances (-1*log10(pval))
If renorm and permutandboot are both set to TRUE, p-value computation is equal to the ReBoot procedure implemented in CoNet. If more than one method is selected and p-value computation is enabled, p-values are merged with Fisher's method, multiple testing correction (if enabled) is applied on the merged p-value and the merged p-value is reported. If p-value computation is not enabled, the method number is reported as association strength. Edge signs (co-presence/mutual exclusion) are assigned using thresholds (T.up/T.down directly or indirectly via top/bottom initial edge number). Co-presence (high correlation/low dissimilarity) is encoded in green, mutual exclusion (low correlation/high dissimilarity) in red and sign conflicts (lack of agreement between methods) in gray. When metadata are provided, a bipartite network is computed. To circumvent bipartite network computation, metadata can be appended to abundances to form a single input matrix, but in this case, preprocessing on abundance data needs to be carried out before. When CLR transform is applied, the Euclidean distance is the recommended measure, which according to Gloor et al. (https://www.frontiersin.org/articles/10.3389/fmicb.2017.02224/full) is equivalent to the Aitchison distance after CLR.
data("ibd_taxa") data("ibd_lineages") ibd_genera=aggregateTaxa(ibd_taxa,lineages = ibd_lineages,taxon.level = "genus")#> [1] "Number of higher-level taxa: 71" #> [1] 71 7# only keep significant ones among the top 50 positive and negative Spearman correlations plot(barebonesCoNet(ibd_genera,methods="spearman",init.edge.num=50,permutandboot=TRUE))#> [1] "Network construction with method(s): spearman" #> [1] "Processing method spearman" #> [1] "Lower threshold for initial edge number (50): -0.269082821758457" #> [1] "Upper threshold for initial edge number (50): 0.476873894000414" #> [1] "Renormalisation is FALSE" #> [1] "P-values of correlations are computed with cor.test FALSE" #> [1] "Permutations and bootstraps are both computed TRUE" #> [1] "Associations computed for 46 taxa." #> [1] "Network has 99 edges."# only keep edges supported by both Bray Curtis and Spearman plot(barebonesCoNet(ibd_genera,methods=c("spearman","bray"),init.edge.num=50))#> [1] "Network construction with method(s): spearman, bray" #> [1] "Upper and lower threshold are ignored when more than one method is selected." #> [1] "Processing method spearman" #> [1] "Lower threshold for initial edge number (50): -0.269082821758457" #> [1] "Upper threshold for initial edge number (50): 0.476873894000414" #> [1] "Renormalisation is FALSE" #> [1] "P-values of correlations are computed with cor.test FALSE" #> [1] "Permutations and bootstraps are both computed FALSE" #> [1] "Processing method bray" #> [1] "Lower threshold for initial edge number (50): 0.665322882108127" #> [1] "Upper threshold for initial edge number (50): 0.991535912658058" #> [1] "Renormalisation is FALSE" #> [1] "P-values of correlations are computed with cor.test FALSE" #> [1] "Permutations and bootstraps are both computed FALSE" #> [1] "Associations computed for 46 taxa." #> [1] "Merging methods..." #> [1] "Network has 12 edges."# keep significant Euclidean distance on CLR-transformed data (samples are completed to sum to one) g=rbind(ibd_genera,rep(1,ncol(ibd_genera))-colSums(ibd_genera)) plot(barebonesCoNet(g,clr=TRUE,methods="euclid",init.edge.num=50,permut=TRUE,columnwise=TRUE))#> [1] "Network construction with method(s): euclid" #> [1] "Processing method euclid" #> [1] "Lower threshold for initial edge number (50): 27.941264917359" #> [1] "Upper threshold for initial edge number (50): 57.2944716021566" #> [1] "Renormalisation is FALSE" #> [1] "P-values of correlations are computed with cor.test FALSE" #> [1] "Permutations and bootstraps are both computed FALSE" #> [1] "Associations computed for 47 taxa." #> [1] "Network has 49 edges."


|
[NMF Analysis] Using a sliding window approach, we can identify time-varying functional connectivity, using simple correlation across the anatomical regions estimated within each time window. |
[Left] We can represent factors derived from NMF as subnetworks that are variably expressed over time. Networks derived from a four-factor factorisation are shown here. [Middle] The factors' subnetwork expression varies over time, but shows persistent differences across genotypes. [Right] Full time varying connectivity matrices are shown here, with time points corresponding to the dashed line in the middle plot. |


--- layout: post icon: mood title: Components can have descriptions detail: true ---
Components can have descriptions now. This means that besides their label which you can change, you can add more text describing the component further, distinguishing it from others on the pipeline.
The description can have mulitple lines. A typical use case for custom descriptions is distinguishing query components in pipelines, where they are many.


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This file contains notes, hints and information of interest for those developers wishing to compile PasswordSafe for Windows. Linux developers should read the file README.LINUX.DEVELOPERS.txt.
There are several 'degrees of freedom' for Windows developers:
Note regarding Visual Express: The MFC version of PasswordSafe cannot be built using Visual Express, as Microsoft does not provide MFC support in this product. It should, however, be possible to build the wxWidgets version.
To summarise: The 'official' version of PasswordSafe on Windows platforms is based on MFC (Microsoft's Foundation Classes), and uses Microsoft's XML parser. This corresponds to the ReleaseM configuration in the build environment, i.e., the release build using Microsoft's XML parser. This will build the required DLLs using their Release configuration (pws_at.dll for AutoType support and pws_osk.dll for the Virtual Keyboard) and the base resource DLL (pwsafe_base.dll used to create non-English language support).
The Visual Studio 2012 and 2013 projects have been updated to be able to generate the 64-bit versions of both the MFC and wxWidgets. This has only been tested on a 64-bit Windows environment with the VC10 64-bit compiler. It has not been tested on a 32-bit Windows environment with a cross-compiler. For wxWidgets, you will need the 64-bit static libraries and they should be placed in a new directory 'lib64\vc_lib' corresponding to the current 'lib\vc_lib' for the 32-bit versions. If you continue to use VS2005, you should put the static libraries built by it in '\lib\vc8_lib'.
For each Configuration there is an associated platform. Unfortunately, Visual Studio adds all defined platforms to all defined configurations even if a particular combination is not valid. The supported combinations are:
The current MFC configurations are:
The current wxWidgets configurations are:
Note that the core and os project files contain all of the above projects, even if you are only selecting one of the MFC or the wxWidget builds. You should not have to select them individually as selecting the main PasswordSafe configuration will select the correct configuration for these projects. You should also be careful not to select all configurations in the Visual Studio Batch Build process either to build, rebuild or clean all configurations. Only select MFC configurations if using the MFC PasswordSafe solution (pwsafe-12.sln) and the wxWidgets configurations if using the wxWidgets PasswordSafe solution (pwsafe_wx-12.sln).
The source code for PasswordSafe may be downloaded as
a zip
file, or retrieved from the git repository via
git clone https://github.com/pwsafe/pwsafe.git
Currently, the Windows version is built using Microsoft's
development tools as described below.
If you're going to commit code to the repository, please set your subversion client's configuration file as follows:
In the "[miscellany]" section, ensure the following variable is set to 'yes':
enable-auto-props = yes
In the "[auto-props]" section, add the following if not already there:
*.c = svn:eol-style=native *.cmd = svn:eol-style=native;svn:mime-type=text/plain *.cpp = svn:eol-style=native *.cs = svn:eol-style=native *.csproj = svn:eol-style=native *.dsp = svn:eol-style=CRLF *.dsw = svn:eol-style=CRLF *.h = svn:eol-style=native *.hhc = svn:eol-style=native *.hhk = svn:eol-style=native *.hpp = svn:eol-style=native *.html = svn:eol-style=native;svn:mime-type=text/html *.ico = svn:mime-type=image/x-icon *.in = svn:eol-style=native *.inc = svn:eol-style=native *.ini = svn:eol-style=native *.iss = svn:eol-style=native *.jpg = svn:mime-type=image/jpeg *.js = svn:eol-style=native *.linux = svn:eol-style=native *.manifest = svn:eol-style=CRLF *.nsi = svn:eol-style=CRLF *.pjd = svn:eol-style=native *.pl = svn:eol-style=native *.png = svn:mime-type=image/png *.po = svn:eol-style=native *.rc = svn:eol-style=native *.rc2 = svn:eol-style=native *.resx = svn:eol-style=native *.sh = svn:eol-style=native;svn:executable *.sln = svn:eol-style=CRLF *.txt = svn:eol-style=native;svn:mime-type=text/plain *.vbs = svn:eol-style=native *.vcproj = svn:eol-style=CRLF *.windows = svn:eol-style=native *.wxs = svn:eol-style=native *.xml = svn:eol-style=native;svn:mime-type=text/xml *.xpm = svn:mime-type=image/x-xpm *.xsd = svn:eol-style=native *.xsl = svn:eol-style=native LICENSE = svn:eol-style=native;svn:mime-type=text/plain Makefile = svn:eol-style=native;svn:mime-type=text/plain README = svn:eol-style=native;svn:mime-type=text/plain
(This file is ~/.subversion/config for Linux, and under Documents and Settings\user\Application Data\Subversion\config on Windows. If using Tortoise SVN client under Windows, this can be accessed by right clicking a file, selecting Tortoise SVN and then select Settings from the menu and using the Edit button in the General Settings panel).
The Windows version of PasswordSafe can be built using Microsoft Visual Studio 2013 (C++ compiler for PaswordSafe ('VC12') and C# compiler if you wish to re-generate the Virtual Keyboard data, which is not normally necessary). The Visual Studio Express compiler does not support Microsoft's Foundation Classes, which are used extensively within the current official Windows version. Visual Studio 2012 / VC11 is also supported, although no longer the main development environment.
The main (toplevel) Microsoft Visual Studio 2013 solution file is pwsafe-12.sln.
In order to build the Windows version of PasswordSafe, you need to install the following freely available components, in addition to Visual Studio:
SDK & WDK NOTE: In order to compile PasswordSafe using MFC, the Microsoft Windows SDK's 'include' and 'lib' directories must be added to the directories supplied by Visual Studio. In addition, since the implementation of support for the YubiKey hardware, the Windows Driver Kit must also be installed and its libraries made available to Visual Studio. For VS2012, WDK 7.1A is required and, for VS2013, WDK V8.1A. Note due to an incompatibility between WDK 7.1A and SDK 7.1 for VS2012, an include file must be deleted from the installed WDK V7.1A (see the Readme.txt file in the src/os/windows/yubi directory for more details). This is not required if using VS2013 and WDK 8.1.
Compiling using Visual Studio: If you're using Microsoft's Visual Studio, the file "UserVariables-12.props" for VS2013, or "UserVariables-15.props" for VS2015 must exist and describe the directories where the non-"Windows SDK" components have been installed. The solution will not open correctly without this file being present. For your convenience, we've included simple Visual Basic scripts, "configure-12.vbs" and "configure-14.vbs" for VS2013 ans VS2015, respectively, in the src/ui/Windows directory (src/ui/wxWidgets directory for the wxWidgets builds), that you can run to generate the above file with the correct values. These script will also prompt for the location of the 64-bit Xerces libraries for 64-bit builds. When migrating from VS2013 to VS2015, ensure that you run the configure-14.vbs in order to add the location of the Windows Driver Kit for a successful build of the YubiKey library.
Originally, PasswordSafe used Microsoft's XML library for XML parsing and validation. For portability, we're now support the Xerces XML libraries, which are available for non-Windows platforms. We recommend the latest version (currently 3.1.3 as of April 2016). For VS2015 (VC14), you will need to copy and modify the directory ..\xerces-c-3.1.3\projects\Win32\VC12 to ..\xerces-c-3.1.3\projects\Win32\VC14 and open the solution file xerces-all.sln in subdirectory xerces-all and let VS2015 convert the project. You only need to build the project "Static Debug" and/or "Static Release" configurations of project XercesLib. Note: for 64-bit Xerces builds, you must use the 64-bit versions of the Xerces libraries.
It is important that you have the Xerces libraries built with the same version of Visual Studio as you are using to build PasswordSafe. You will receive numerous error messages during the link stage if they are not the same. The same applies to the wxWidgest library if building that version of PasswordSafe under Windows.
To determine which XML library to use while building PasswordSafe, we've defined a pre-processor variable (USE_XML_LIBRARY). If NOT defined, the compiled PasswordSafe will not process XML files (databases or filter definitions in XML format). Filters within a database will be treated as 'Unknown Fields' and will remain unchanged so that other versions of PasswordSafe that do support XML parsing can still use them. Note, however, that the application will be able to write XML files.
The two valid values of the USE_XML_LIBRARY variable are "MSXML" and "XERCES" corresponding to the three different implementations. For wxWidgets builds, only XERCES will be possible but they are still under development (as of August 2010).
PasswordSafe uses SAX2 processing for both Microsoft's and the Xerces' XML Parsers, which are full validating parsers and require the presence of the appropriate XSD Schema file (included in the distribution and in the "xml" sub-directory, to process either file or filter imports. This ensures that the data eventually hitting the SAX2 content handlers is correct and just needs placing in the appropriate fields.
The following instructions were written for version 1.7.0 of gtest.
PasswordSafe uses the gtest framework in the DebugM build - specifically the DebugM build of the coretest project.
To generate the required library, open gtest.sln in the "msvc" sub-directory in the gtest directory.
You only need to build the Debug version of gtest library (gtestd.lib) in the gtest project of the solution "gtest.sln". PasswordSafe does not use the "gtest-md.sln" solution nor following projects in gtest.sln:
The following changes should be made to the (converted) project file:
Please remember to (re-)run the PasswordSafe configure-12.vbs or configure-14.vbs script to set the necessary gtest include and library directories. These would normally be the subdirectories "include" and either "build-vc12" or "build-vc14" of the "gtest-1.7.0" directory.
Note: you can also make the similar changes to those above in the projects not used by PasswordSafe in gtest.sln if you wish to run the gtest Test programs.
In order to help debug user problems when Windows just says "there has been an error", a "Windows Unhandled Fault Handler" has been added. This will create a minidump, which can then be used to find where the error took place and, hopefully, why.
An extra "extended" Command Line flag of "--testdump" has been introduced for two reasons. Firstly, it allows the developer to test the minidump process, which is only available in the Release version of the executable and, secondly, allows the translators to check that the error screen displays as they wish.
Note to Translators: the error screen is a basic Windows function and has a fixed width. This is the reason why the minidump file name and directory have been split onto separate lines.
Note: Extended flags start with two minus signs ('--') and must be specified in full - i.e. no abbreviations. They are not displayed in the Usage notes for the normal users and no error message or display is shown if they are not recognised.
With this flag set, an extra button will appear in the bottom right hand corner of the "About PasswordSafe" dialog. Click it, and a minidump should be produced.
In order to process the minidump, either the free Microsoft Windbg program can be used (see Microsoft's site for details), or Visual Studio (VS) can be used. In the latter case (and probably the former too!):
If you have installed Visual Studio 2008, it will have installed a Windows SDK V6.0A and you do not have to install another SDK. If you haven't installed VS2008, then please select either of the following versions:
SDK NOTE: In order to compile PasswordSafe using MFC, the Microsoft Windows SDK's 'include' and 'lib' directories must be added to the directories supplied by Visual Studio. This is achieved in VS2005 via Tools > Options > Project and Solutions > VC++ directories > Include files and Library files. They can be added at the end of each appropriate set using the directory you specified during installation (the defaults are: "C:\Program Files\Microsoft SDKs\Windows\NNN\Include" and "C:\Program Files\Microsoft SDKs\Windows\NNN\Lib", where NNN is 6.0, 6.0A, 6.1 or 7.0 as noted above). The Microsoft Visual Studio Registration Tool only adds the .Net libraries and not those needed for PasswordSafe. It is recommended that you get SDK V6.1 and you place them above the libraries supplied with Visual Studio e.g. "$(VCInstallDir)PlatformSDK\include" and "$(VCInstallDir)PlatformSDK\lib" otherwise you may get warning messages compiling source members using BlockInput.
*** End of Developer Notes ***


I have studied and worked in Game Development and App Development. Now I am looking to bridge into Web Development. I want to have a strong skillset in all three disciplines and pursue a freelance career.
"Describe my own strengths and limitations in relation to learning."
I am very good at practical exercises and really enjoy doing them. I have a harder time with learning theoretical knoweledge as I have a hard time maintaining my attention.
"What skills (non-technical/human skills) would you like to see developed in yourself while at Dev Academy?"
I would like to get better at interacting with people online. It feels disconnected and hard to approach others so I hope to develop a more outgoing approach over this course.
"A commitment to how you will manage your workload."
I plan to simply work until my tasks are complete, then decide whether or not to do extra work or relax. I keep my eye on Slack and prepare myself for the weekly facilitator meetings. If the workload starts to get too much then I will focus less on making things look good and instead focus on simply completing the tasks to an acceptable level.
"A commitment as to how and where you will seek help in a timely manner."
I have a friend who is in the previous cohort and we talk about the course regularly. If I need help he is usually available, however, when he is too busy I will either message the facilitator or pose any questions I might have in Slack.
"A description of what you expect from the facilitator team."
I expect the team to know what I should be doing each week and have a basic understanding of the concepts we are learning.
"Do you have any scheduling conflicts?"
I have some personal projects that I like to work on in my spare time but I can simply not do those when things get busier.
Bootcamp Learning Plan
"What is your long term goal and/or career pathway?"
I have already worked as a Game Developer and an App Developer so I am now looking to add Web Development to my skillset. I would love to be able to work as either a freelance developer or work for a company doing any of those professions.
"What do you think your biggest strengths and limitations will be in Bootcamp?"
I don't think my strengths and limitations have changed from my Foundations Learning Plan above. Though I do believe I will have a much better time with my limitations when it comes to Bootcamp.
My biggest strength will be my passion for and pre-existing experience with coding. I often code in my free time anyway, so I look forward to doing lots of fun little projects.
For limitations, it is a shame the cohort hasn't had much opportunity for interaction, so I think many of the group activities may be a little hard at first. Also, while I have experience doing talks in front of others I haven't had to do so in a long time so I think the lightning talks will be a challenge to get used to doing again.
"What non-technical skills - human skills - would you like to see developed in yourself while at Dev Academy?"
From foundations I have learnt that I struggle with communication online. Now that this issue has been made apparent to me I would like to work on improving it. If Bootcamp stays online then I am hoping the increased interactions through lightning talks, group projects, and general increase in workload will help with this. On the other hand, if Bootcamp ends up on campus then it will be much harder for me to work on this issue since I'm confident I have never had communication issues offline.
Also, like I said above, while I have talking experience, I know that public speaking is a skill that can degrade if not practiced regularly. Bootcamp will be my opportunity to refamiliarise myself with that skill.
"What are your expectations from the Bootcamp team?"
I expect there to be someone on campus (or available online) 9-5 to be able to ask questions and get help from. I also expect the team as a whole to have competency in the things we will be learning and doing over Bootcamp.
"What are your expectations of yourself on Bootcamp?"
I expect myself to show up each day and stay the whole day, and sticking around to complete work if needed. I also expect myself to meet deadlines or communicate why I have not. If Bootcamp is online then I expect myself to have the same commitment, but from home instead.
My commitment to how I will manage my workload is to focus on the tasks for each day and focus on completing them to a basic standard first. Only if I have the spare time at the end will I revisit individual tasks to polish them. My focus is completion and understanding over polish.


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HELL'S DWELLS
Glasgow drug lord Stephen ‘Jimmy’ Jamieson shacked up in swanky £260k pad owned by taxi tycoon Stevie Malcolm
by Rebecca GrayDRUGS baron Stephen “Jimmy” Jamieson is shacked up in a swanky house owned by millionaire taxi tycoon Stevie Malcolm.
The hood, 36 has been living in the £260,000 mortgage-free pad for over a year with his girlfriend and kids.
The four-bedroom gaff in Glasgow’s southside was bought by car boss Malcolm, 55, in 2016 but he has never lived in it.
Two new £100,000 Range Rovers with blacked out windows are regularly parked in the driveway.
Jamieson, of Paisley — previously jailed for his part in a £9million drugs gang — has no known source of income.
One local said: “They look like just a normal family. There are a lot of fancy cars in the area so theirs don’t particularly stand out.
“They do have a lot of people coming and going though.
“The police seem to drive through the area a lot on patrol.”
The house, built in 2013, has French doors, two en suite bathrooms and a garage.
Jamieson served half of his 8½-year sentence and was freed in 2013.
He is best pals with feared crime boss Jamie ‘Iceman’ Stevenson, 54.
Malcolm, nicknamed The Fat Controller, owns a string of properties including his £9million mansion near Gleneagles, Perthshire.
In 2018, Malcolm stepped down as boss of one of his biggest firms, Edinburgh City Private Hire.


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New Mac Pro Available in December 2019
by Charlotte HenryApple announced Wednesday that it’s new Mac Pro will be released in December 2019. The new Pro Display XDR will become available at the same time.
New Mac Pro and XDR Display Available Next Month
No specific date was given, but alongside announcing a new 16-inch MacBook Pro, Apple said that the new Mac Pro will be available next month. The device was revealed at WWDC 2019. It has workstation-class Xeon processors, up to 28 cores, a 1.5TB capacity memory system and eight PCIe expansion slots. It also has what Apple claims is the world’s most powerful graphics cards. It starts at $5,999.
Alongside the Mac Pro, users can also purchase the 32-inch Pro Display XDR display. It is a 6K Retina display with P3 wide and 10-bit color. It boasts 1,600 nits of peak brightness, a 1,000,000:1 contrast ratio and a superwide viewing angle. The CDR display starts at $4,999.


Before Change
def setUp(self):
super(EncodeListwiseFeaturesTest, self).setUp()
self.context_feature_columns = _context_feature_columns()
self.example_feature_columns = _example_feature_columns()
// Batch size = 2, list_size = 2.
self.features = _features()
self.listwise_dense_layer = feature.EncodeListwiseFeatures(
context_feature_columns=self.context_feature_columns,
example_feature_columns=self.example_feature_columns)
After Change
def setUp(self):
super(EncodeListwiseFeaturesTest, self).setUp()
(context_feature_columns, example_feature_columns,
custom_objects) = _get_feature_columns()
self._context_feature_columns = context_feature_columns
self._example_feature_columns = example_feature_columns
self._custom_objects = custom_objects
// Batch size = 2, list_size = 2.
self._features = _features()
self._listwise_dense_layer = feature.EncodeListwiseFeatures(
context_feature_columns=self._context_feature_columns,
example_feature_columns=self._example_feature_columns)


--- layout: post title: Cultural Baggage I understand this article by Patrick Lagacé in... date: '2015-01-23T08:49:00.001-05:00' author: Bob Sica tags: - ifttt modified_time: '2015-01-23T08:49:00.501-05:00' blogger_id: tag:blogger.com,1999:blog-4599947215754335931.post-3700191892865047164 blogger_orig_url: http://blog.bobsica.com/2015/01/cultural-baggage-i-understand-this.html ---
I understand this article by Patrick Lagacé in today’s Globe Mail about differences in cultural norms within Canada from a new perspective after living in a French speaking region; I agree with the author that culturally you have to carry your own baggage. It’s always easy to judge others.
Photo credit: Lisa Gansky (Wikipedia)


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