Graham Norton to host BAFTA Film Awards in February
by Annie MartinNov. 22 (UPI) -- Graham Norton will host the 2020 BAFTA Film Awards.
The British Academy of Film and Television Arts (BAFTA) announced in a press release Friday that Norton, 56, will host the EE British Academy Film Awards in February.
The BAFTAs, which celebrate British and international film talent, will take place Feb. 2 at Royal Albert Hall in London. The awards show will air on BBC One.
Norton replaces actress and television personality Joanna Lumley, who hosted the 2018 and 2019 ceremonies. Norton has previously hosted the BAFTA Television Awards, most recently in May.
"I'm absolutely delighted that Graham Norton will host the EE British Academy Film Awards," BAFTA chief executive Amanda Berry said. "He will bring his brilliance and unique brand of humor to the role."
Norton is known for hosting the BBC talk show The Graham Norton Show, which debuted in 2007.
"I'm delighted to be taking the helm of the biggest night in British Film, the audience at the Royal Albert Hall will be the biggest sofa I've ever faced," Norton said. "I'm honored to be following in the fabulous footsteps of Stephen Fry and Joanna Lumley."
BAFTA confirmed the news in a tweet Friday.
"We're so excited that the brilliant Graham Norton will be hosting the EE British Academy Film Awards 2020," the post reads.


SuperScript User's guide
|
Author :Jiger Patel
|
Introduction
SuperScript is a scripting "Power House" plugin that supports scripting in more than 20+ languages ranging from BML to Beanshell to Groovy to Javascript to Jython to NetRexx to Perl to Ruby to XSLT to....
SuperScript Minimum Requirements
- Jdk 1.3+
- JEdit 4.2+
- Apache BSF 2.3(included)
Features
SuperScript uses Apache BSF to provide scripting support for 20+ scripting languages. Using SuperScript you get one interface to your scripting language of choice without leaving jEdit.
SuperScript adds several "default" objects namely view, buffer, editPane, textArea and superscript. Most of you conversant with jEdit would be familiar with these variables. "view" refers to instance of the Current View(JFrame). "buffer" is the active buffer. "editPane" & "textArea" to the current EditPane and JEditTextArea objects respectively. "superscript" variable refers to the current SuperScript plugin instance to script SuperScript itself.
Version 0.4 makes SuperScript jEdit 4.2 complaint.
SuperScript enables support for writing macros for jEdit in all languages supported by SuperScript. On a fresh install SuperScript does not know which language the user wants to write macros in (obviously), thus if you want jEdit to recognize macros written in languages other than say Beanshell then you have to first enable macro language support from Global Options-SuperScript, And select the Scripting language of the macros you want jEdit to recognise - Click OK and restart jEdit. If you store your macros in ${jedit.home}/macros or ${user.home}/.jedit/macros directory or any of its sub-directory then after restarting, you will see your macros in jEdit's Macros Menu. You can also write startup scripts in SuperScript supported languages. Checkout jEdit's Help for details on how and where to store startup scripts.
Usage
-
After installing SuperScript, dock the SuperScript dockable on one of the four sides or maybe keep it floating as per your taste.
- Download the scripting Engine of your choice from their respective project sites.(some have been metioned below) and place the jars in \jars or \.jedit\jars directory, where is where you installed jEdit and is your home directory.
- Select any language you intend to script in from the Languages dropdown.
- To evaluate any expression like 2+2 or print "Hello World" etc, type it out in the textbox provided in the dockable. The results/errors (if any) will be printed out in the Output window.
- To run an existing script open the file in jEdit and click "Execute Script" button in the Dockable. You could also write and test a script without saving it by the same means.
- If you want jEdit to run macros written in SuperScript supported languages then follow the procedure explained in the "Features" section above.
Where to download the Scripting Engines
You will find most of them here. There are a few upcoming scripting languages which SuperScript can support via Apache BSF. They are Groovy, ObjectScript, etc. Please look at respective scripting language website for details on enabling SuperScript to recognise and use them.
Release Notes & Change Log for Version :0.4 (22 March 2004)
- Updated to jEdit 4.2 changes
- Minor code refactorings
Release Notes & Change Log for Version :0.3 (8th July 2003)
- Added Macro support for writting macros written in languages supported by SuperScript.
- Re-Added a Hack for Jython to load Plugin Jar files when the language selected is Jython.(Configurable)
- Fixed Interface layout issues. Now it is consistent with the window size.
- stdout/stderr messages capture issues fixed.
Release Notes & Change Log for Version :0.2 (4th June 2003)
- Fixed classloading problem with a couple of scripting languages namely Jython, Javascript and XSLT.
- Better handling of displaying errors and output. You should now see System.out's or output of print statements in the Output window instead of the Activity Log.
- Added new implicit variable called "superscript" to script the plugin itself.
Release Notes & Change Log for Version :0.1 (29th May 2003)
- Initial Plugin Release.

- This plugin uses Apache BSF. You can read its license here.
- Please send all scripting language related issues to the respective Scripting Language Mailing lists.


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RUN-MAILCAP(1) Run Mailcap Programs RUN-MAILCAP(1) NAME run-mailcap, view, see, edit, compose, print - execute programs via entries in the mailcap file SYNOPSIS run-mailcap --action=ACTION [--option[=value]] [MIME-TYPE:[ENCOD‐ ING:]]FILE [...] The see, edit, compose and print versions are just aliases that default to the view, edit, compose, and print actions (respectively). DESCRIPTION run-mailcap (or any of its aliases) will use the given action to process each mime-type/file in turn. Each file is specified as its mime-type, its encoding (e.g. compression), and filename together, separated by colons. If the mime-type is omitted, an attempt to determine the type is made by trying to match the file's extension with those in the mime.types files. If the encoding is omitted, it will also be determined from the file's extensions. Currently supported encodings are gzip (.gz), bzip (.bz), bzip2 (.bz2), and compress (.Z). A filename of "-" can be used to mean "standard input", but then a mime-type must be specified. Both the user's files (~/.mailcap; ~/.mime.types) and the system files (/etc/mailcap; /etc/mime.types) are searched in turn for information. EXAMPLES see picture.jpg print output.ps.gz compose text/html:index.htm extract-mail-attachment msg.txt | see image/tiff:gzip:- OPTIONS All options are in the form --<opt>=<value>. --action=<action> Performs the specified action on the files. Valid actions are view, cat (uses only "copiousoutput" rules and sends output to STDOUT) , compose, composetyped, edit and print. If no action is specified, the action will be determined by how the program was called. --debug Turns on extra information to find out what is happening. --nopager Ignores any "copiousoutput" directive and sends output to STDOUT. --norun Displays the found command without actually executing it. SEE ALSO update-mime(8) AUTHOR run-mailcap (and its aliases) was written by Brian White<EMAIL_ADDRESS>COPYRIGHT run-mailcap (and its aliases) is in the public domain (the only true "free"). Debian Project 1st Jan 2008 RUN-MAILCAP(1)


{% include head.html %}
{{ site.description }}
Find it hard to follow the textbook? Our bite-size lessons break it down for you, focusing on the most important points!
 We provide you a summary and point out the patterns!
Confused on configuration versus conformation? Check out our glossary for all the terminology you need!


nmcli device status- Print the available Wi-Fi access points:
nmcli device wifi- Connect to the Wi-Fi network with a specified name and password:
nmcli device wifi connect ssid password password- Print password and QR code for the current Wi-Fi network:
nmcli device wifi show-password


Some articles we have written discussing or exploring topics in data visualization. These will vary in depth and range.
{% when "talk" %}Slides, code, and transcripts of some talks that we have given.
{% else %}These are some of the projects we have worked on.
{% endcase %}


Note the YAML contains specifications for a github document and html. The best way to deal with this is to knit them separately from the knit menu. Otherwise the html has blurry plots and tends to delete the md cached plots unless you tell it to cache everything!
library(tidyverse)
library(cowplot)
library(broom)
library(modelr)
library(viridis)
library(lubridate)
library(knitr)
#knitr::opts_knit$set(root.dir = '/Users/scottsaunders/git/labwork/IDA/12_10_18')
knitr::opts_chunk$set(tidy.opts=list(width.cutoff=60),tidy=TRUE, echo = TRUE, message=FALSE, warning=FALSE, fig.align="center")
theme_1 <- function () {
theme_classic() %+replace%
theme(
axis.text = element_text( size=12),
axis.title=element_text(size=14),
strip.text = element_text(size = 14),
strip.background = element_rect(color='white'),
legend.title=element_text(size=14),
legend.text=element_text(size=12),
legend.text.align=0,
panel.grid.major = element_line(color='grey',size=0.1)
)
}
theme_set(theme_1())
#source("../../tools/echem_processing_tools.R")
I have been led down a path to create this notebook after seeing some very unintuitive things regarding the nonlinear fits of my SWV decays. As a reality/sanity check I want to generate some data from my known diffusion equation and use a nonlinear least squares to estimate a coefficient and calculate the original parameters. This should work. If this doesn’t work, then I don’t understand something important about this simple set of equations.
Recall that the current from SWV scans can be assumed to fit a 1D diffusion profile of the form:
\[C(t)=\frac{2 M_0}{A \sqrt{4 \pi D_m t}}\] Using the equation for square wave voltammetry current and subsituting for \(C\) and \(M_0\), we get the following expression.
\[I_{swv}=I_0 \frac{\sqrt{D_{ap} t_s}}{\sqrt{4 D_m t}}\] With this expression we can calculate an \(I_{swv}\) for a datapoint given the time, \(t\) and the parameters \(I_0\),\(D_{ap}\), \(D_m\), and \(t_s\). We will use this to generate a test dataset.
Then if we are going to fit data from this expression, we can assume it is of the form
\[y=m t^{-\frac{1}{2}}+b\] If we fit for that coefficient, \(m\), then \(D_m\) is the following \[D_m=\frac{I_0^2 D_{ap} t_s}{4 m^2}\] We will use this equation to decode our “fit” back into a \(D_m\), which should be close to the original value we generated the data with.
First, let’s write a function to generate a dataset with known parameters.
generate_Iswv <- function(t, I0 = 1, D_ap = 1e-05, D_m = 1e-08,
t_s = 0.1, noise = T, sd = 0.1) {
t = t
Iswv <- I0 * (sqrt(D_ap * t_s)/sqrt(4 * D_m * t))
if (noise) {
Iswv <- rnorm(length(t), mean = Iswv, sd = sd)
}
Iswv
}
Ok, so if we give this function timepoints, and parameters \(I_0\), \(D_{ap}\), \(D_m\) and \(t_s\), it will calculate what the measured \(I_{swv}\) current will be. We can also tell the function if we want normally distributed noise.
# Params
I0 = 10
D_ap = 1e-06
D_m = 1e-07
t_s = 0.1
t = seq(1, 50, length = 100)
gen_data <- tibble(t, i = generate_Iswv(t, I0, D_ap, D_m, t_s,
noise = T))
kable(head(gen_data))
| t | i |
|---|---|
| 1.000000 | 5.004122 |
| 1.494949 | 4.057905 |
| 1.989899 | 3.640768 |
| 2.484849 | 3.257615 |
| 2.979798 | 2.945868 |
| 3.474747 | 2.697552 |
Ok, that seems to work well, let’s see what the current decay looks like. The \(I_0\) is shown as a dashed line.
ggplot(gen_data, aes(x = t, y = i)) + geom_point() + geom_hline(yintercept = I0,
linetype = 2)
Beautiful, now let’s write a function that can take in that generated data and attempt to back calculate the correct \(D_m\).
calc_D_m <- function(df, t = t, i = i, D_ap, t_s, i_0 = NA) {
if (is.na(i_0)) {
i_0 = max(df$i)
}
fit = nls(i ~ m * t^-0.5 + b, data = df, start = c(m = 0.1,
b = 0))
m = as.numeric(coef(fit)[1])
b = as.numeric(coef(fit)[2])
D_m = (i_0^2 * D_ap * t_s)/(4 * m^2)
c(D_m = D_m, i_0 = i_0, b = b)
}
So, this function will take in our generated df. We will also provide it with a \(D_{ap}\) and \(t_s\).
(estimates <- calc_D_m(gen_data, D_ap = D_ap, t_s = t_s))
## D_m i_0 b
## 2.508968e-08 5.004122e+00 5.974719e-03
Ok, so the function runs…but its estimate is about an order of magnitude off…not great for data that we just generated. Recall that \(I_0\) was 10, it seems that could be an important problem if using the max point to estimate \(I_0\) doesn’t work well. You can see that by reruning the calculation function, but providing the correct \(I_0\) enables the fit to estimate \(D_m\) very accurately.
calc_D_m(gen_data, D_ap = D_ap, t_s = t_s, i_0 = I0)
## D_m i_0 b
## 1.001935e-07 1.000000e+01 5.974719e-03
Now, providing the correct \(I_0\) yields a very good estimate for \(D_m\), recall that we originally set it to 10^{-7} cm^2/sec.
Let’s look at a plot of the original data with data regenerated from the estimated fit parameters:
# generate dataset from estimates
calc_data <- tibble(t, i = generate_Iswv(t, I0 = estimates[2],
D_ap, D_m = estimates[1], t_s, noise = T))
# plot with I0's
ggplot(gen_data, aes(x = t, y = i)) + geom_point() + geom_hline(yintercept = I0,
linetype = 2) + geom_point(data = calc_data, color = "red") +
geom_hline(yintercept = estimates[2], color = "red", linetype = 2) +
ylim(0, NA)
Here you can see that the original dataset in black is perfectly overlaid by our back calculated data. However, because we assumed that \(I_0\) was equal to the max datapoint (red dotted line), we underestimated the true \(I_0\) (black dotted line) by about half. The fit then calculated the \(D_m\) to be much slower to make the data fit nicely…
This brings up an important question that I thought I understood, but now I’m confused: “How can we accurately estimate \(I_0\) from these SWV decays?” Up to this point I had just been using the first/max datapoint and normalizing by that. However, this notebook is showing me that this approach only gets you an order of magnitude accuracy (with these params).
This time, let’s look at a dataset over the course of an hour, with a realistic \(I_0\) of 1uA, and \(D_m\) of 1e-9 cm^2/sec.
I0_v2 = 1e-06
D_m_v2 = 1e-09
gen_data_100 <- tibble(t = seq(10, 3600, by = 10), i = generate_Iswv(t = t,
I0 = I0_v2, D_ap, D_m = D_m_v2, t_s, noise = T, sd = 2e-08))
ggplot(gen_data_100, aes(x = t/60, y = i)) + geom_point() + geom_hline(yintercept = I0_v2,
linetype = 2)
Interestingly, when \(D_m\) and \(t\) are small enough, you can actually get signal larger than \(I_0\). Using the same metric of the max data point to estimate \(I_0\) now yields an overestimate.
NLS estimates:
(estimates_100 <- calc_D_m(gen_data_100, D_ap = D_ap, t_s = t_s))
## D_m i_0 b
## 2.503184e-09 1.577650e-06 -1.132666e-09
Estimates when provided with correct \(I_0\)
calc_D_m(gen_data_100, D_ap = D_ap, t_s = t_s, i_0 = I0_v2)
## D_m i_0 b
## 1.005707e-09 1.000000e-06 -1.132666e-09
Again, we see that the error in the \(I_0\) estimate throws off the \(D_m\) estimate by 2.5x. And the plot shows the same effect as before - incorrect \(I_0\) estimates will force the fit to adjust the \(D_m\).
calc_data_100 <- tibble(t = seq(10, 3600, by = 10), i = generate_Iswv(t = t,
I0 = estimates_100[2], D_ap, D_m = estimates_100[1], t_s,
noise = T, sd = 1e-08))
ggplot(gen_data_100, aes(x = t, y = i)) + geom_point() + geom_hline(yintercept = I0_v2,
linetype = 2) + geom_point(data = calc_data_100, color = "red") +
geom_hline(yintercept = estimates_100[2], color = "red",
linetype = 2) + ylim(0, NA)
Lastly, here’s a plot showing how the curve can shift drastically with \(D_m\) or \(I_0\).
t = seq(0, 3600, by = 10)
play_data_5_8 <- tibble(t, i = generate_Iswv(t = t, I0 = 1e-05,
D_ap = 1e-06, D_m = 1e-08, t_s, noise = F)) %>% mutate(Dm = 1e-08,
I_0 = 1e-05)
play_data_5_10 <- tibble(t, i = generate_Iswv(t = t, I0 = 1e-05,
D_ap = 1e-06, D_m = 1e-10, t_s, noise = F)) %>% mutate(Dm = 1e-10,
I_0 = 1e-05)
play_data_6_8 <- tibble(t, i = generate_Iswv(t = t, I0 = 1e-06,
D_ap = 1e-06, D_m = 1e-08, t_s, noise = F)) %>% mutate(Dm = 1e-08,
I_0 = 1e-06)
play_data_4_8 <- tibble(t, i = generate_Iswv(t = t, I0 = 1e-04,
D_ap = 1e-06, D_m = 1e-08, t_s, noise = F)) %>% mutate(Dm = 1e-08,
I_0 = 1e-04)
play_data <- bind_rows(play_data_5_8, play_data_5_10, play_data_6_8,
play_data_4_8) %>% mutate(params = paste("D_m=", Dm, " I0=",
I_0))
# calc_data <- tibble(t,i=generate_Iswv(t, I0=I0, D_ap ,
# D_m=estimates[1], t_s, noise=T))
ggplot(play_data, aes(x = t/60, y = i, color = params)) + geom_jitter(width = 1)
You can actually see that wildly different combinations of \(D_m\) and \(I_0\) give identical decay curves…therefore estimating \(I_0\) is important.
What I take away from this notebook, is when we underestimate \(I_0\), the fit simply underestimates \(D_m\) to compensate. Because \(I_0\) and \(D_m\) are both in the slope term, they can be adjusted against each other to get pretty much any value. Therefore we cannot simply fit for \(I_0\), it will be unidentifiable from \(D_m\). Recall:
\[I_{swv}=I_0 \frac{\sqrt{D_{ap} t_s}}{\sqrt{4 D_m t}}\]
In this notebook, maybe the errors seemed tolerable, within an order of magnitude. However, imagine what happens when our sampling rate is much lower, as in our experiments. I would predict that with the current experimental design and analysis workflow, we are seriously underestimating \(I_0\). I do not know how much error we have, but I think it is safe to assume that it is larger than the artificial system that we have worked with in this notebook. Therefore, we need a reasonable way to estimate \(I_0\) or clarify that we are estimating it well, by using the first datapoint.


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Below is an example of setting up my page title and introduction to be editable, using "name" and "type" attribute of text:

<lk-var name="demos.demo-7324.title" type="text"></lk-var>

<lk-var name="demos.demo-7324.intro" type="text"></lk-var>

Using booleans is simular to text except we are changing the "type" to boolean, giving us checkbox for selecting true or false:
<lk-var name="demos.demo-7324.publish" type="boolean"></lk-var>
Publish Article:
To use a select menu, we change the "type" to select and add the attribute "options", there are a few different ways to format options, i have used space seperated values, using camelCase to give spaces
<lk-var name="demos.demo-7324.layout" type="select" options="OneColumn TwoColumn ThreeColumn"></lk-var>
Page Layout:
The standard list, using the "type" of list, outputs a lsit of an array with a delete option for each item.
<lk-var name="demos.demo-7324.list" type="list"></lk-var>
To expand on the standard list, we can create custom lists, for example a todo list
Inside of our list from above we can add a custom template such as :
<lk-var model="item.title" type="text"></lk-var>
Doing so, we can access the text of title and make edits. We also needed to add the delete icon manually as its now a custom template
To add an item to the todolist, a button was added and a custom function written in the controller
[x]
To expand further, instead of deleting items off our list, we want to set themt to completed.
Adding a boolean value of complete to the item schema and the following code to our template:
<lk-var model="item.complete" type="boolean"></lk-var>
we can now use a checkbox to set an item on the todo list to complete or incomplete


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Symptoms starts as small yellow spots which expand. In severe cases, the leaf drops. This greatly affects the performance of the plant.
This is a viral disease spread by aphids, which is more serious on young plants. Leaves show symptoms of reduced size, patches of dark-green tissue alternating with yellowing to yellow-green.
Deficiency causes interveinal yellowing and malformation of leaves, rosetting of leaves thus reducing photosynthetic area.


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Couple Wake Up To Find Huge Bull Relaxing In Their Back Garden
by Emily BrownYou wake up, put the kettle on and draw back the curtains to admire the beautiful view outside – only to find a huge bull relaxing in your back garden.
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Just another day in the Northamptonshire countryside.
Okay, maybe this scenario isn’t that common but it’s pretty much exactly what happened to a couple in Raunds this weekend, and as I’ve never been to Northamptonshire, this is all I have to go off.
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One of the homeowners, who does not wish to be named, had gone downstairs to make a hot drink on Sunday, November 3, when he spotted the massive animal making itself at home in the garden.
He recalled his reaction, saying:
My first thought was ‘f*ck, Arnold’s in the garden’.
I must point out, the homeowner didn’t spontaneously name the creature after spotting him – this was a bull he was already familiar with.
Arnold, who weighs nearly one tonne, is named after bodybuilder Arnold Schwarzenegger – most likely because of his beefy stature. He usually lives in the field behind the house, but at some point in the night he’d smashed through the fence separating the back garden from his grassy home.
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The surprised homeowner informed his fiancée of their visitor, but at first she didn’t believe him, as the scenario was one they’d joked about before.
Luckily the man was able to support his argument with evidence simply by pointing out of the window to where Arnold was still lingering.
Recalling his partner’s reaction, the homeowner said:
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She was petrified. It was a moment of panic.
I didn’t think it was wise to go outside it as [Arnold] was probably really distressed.
During his rampage, the bull also headbutted the couple’s wheelie bin, left ‘hoof-shaped pot holes’ on the grass and pooed on the patio.
The animal clearly wanted to mark the garden as his new territory.
Unfortunately for him, however, the homeowners weren’t willing to share their land with the giant bull, so they called the farmer who owned Arnold for help.
While they waited for the farmer’s arrival, the pair could do nothing but watch Arnold destroy their garden.
The frustrated homeowner continued:
I managed to get through to the farmer and he was 40 minutes away. So we just sat and watched as he tore up the garden basically.
I had been doing up the garden over the summer but he’s completely ruined my turf!
We’ve been living here 18 months and have seen the odd sheep outside the house. But needless to say, we’ve never had a surprise like that on a weekend.
Thankfully the farmer eventually came to the rescue and managed to tame the bull, though the couple might have to invest in some stronger fencing if they want to stop Arnold from making a comeback!
Emily Brown first began delivering important news stories aged just 13, when she launched her career with a paper round. She graduated with a BA Hons in English Language in the Media from Lancaster University, and went on to become a freelance writer and blogger. Emily contributed to The Sunday Times Travel Magazine and Student Problems before becoming a journalist at UNILAD, where she works on breaking news as well as longer form features.


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Using GitJobs, you can track your professional contacts and job applications in one central place. Take control of your career today!
GitJobs provides a two-pronged approach to empower job-seekers:
1) A digital-rolodex style personal CRM: We know that networking is uncomfortable, difficult, and requires a great deal of organization and effort. By providing a way to not only organize your network of contacts, but to keep track of notes and indexing information as well, you now have the ability to have engaging, impactful conversations with minimal lift. Meet someone new, update your rolodex, and never worry about losing touch or forgetting why the connection is valuable ever again. We’ll cover future development shortly, but you’re also able to cross-reference a company name with your rolodex to easily land those insanely valuable references!
2) An application tracking Job Board: Guys, there are a lot of junior devs out there competing for positions. We can set ourselves apart from the horde by committing to effective follow-up, and that all starts with organization. Imagine having the hiring manager’s contact information at your fingertips, along with your next step and application status. You can even reach out directly from the app!
User Story
AS A job-seeking individual
I
WANT an easy way to keep track of my job applications and professional contacts
SO THAT I can utilize the connections I have and land my dream job.
Languages/Technologies/Libraries Used
- HTML/CSS/Javascript
- Heroku & JAWSDB
- MySQL & Sequelize
- Handlebars (Template Engine)
- Node.js & Express.js
- Passport (LinkedIn Oauth2 Strategy)
- Bootstrap
- Animate on Scroll
Ideas for Future Development
- Implement a full Linkedin & Github OAuth strategy so that we collect more user data upfront, as soon as the user logs in.
- Expand the dynamic user profile to include full user details returned from LinkedIn and Github — that means location data, work experience, and repository information, etc.
- And lastly in the integrations phase, we would complete the setup of Twilio, which will come into play later in the interaction phase.
- Display full contact & application cards to provide further insights to the user.
- Implement the site-wide search, and expand its functionality to include more fields and data objects.
- Match job applications with contacts who work at the same company so that users know where they have a potential referral.
- Create the functionality that will allow users to check in with contacts and follow up with hiring managers via personalized text and email messaging (via Twilio’s messaging platform).
Completed
Project Overview
Hyperspace Lane provides its users with the fastest way to navigate the galaxy. Use it to translate Galactic Basic (English) into Aurebesh (Star Wars writing system)!
User Story
AS A fan of Star Wars
I
WANT an easy way to translate English to the Aurebesh writing system
SO THAT I dive even deeper into the Star Wars fandom and impress all my other friends who are Star Wars fans.
Languages & Libraries Used
- HTML/CSS/Javascript
- jQuery
- Heroku
- Handlebars (Template Engine)
- Node.js & Express.js
- Bootstrap
- Star Wars Quotes API
- Cors-anywhere
Ideas for Future Development
- Find a work around (other than cors-anywhere) for the mixed-content issue.
 Take the hassle out of it and automatically assign who is buying whom a gift with the Exchangerator gift swap randomizer!
User Story
AS THE host of a gift exchange party
I
WANT an easy way assign names to a large number of people
SO THAT I can focus on more important matters related to the party.
Languages & Libraries Used
- HTML/CSS/Javascript
- Heroku & JAWSDB
- EJS (Template Engine)
- Node.js & Express.js
- Bootstrap
Ideas for Future Development
- Implement a way for users to set exclusion rules.
- Add email notification functionality so that all participants will recieve an invite to the party and their assigned name for the gift exchange.
Completed
Project Overview
The Rude Dude is a restaurant app that lets users input the names of burgers they'd like to eat. Once a burger has been eaten (annihilated), the burger can be moved from the "haven't been annihilated" section to the "have been annihilated" section by clicking the "eat burger" button.
Resources Used
- Javascript
- Heroku & JAWSDB
- MySQL
- Handlebars
- Express.js
- Object Relational Mapper
- HTML
- CSS
Ideas for Future Development
- Develop this for different types of foods (tacos, pizza, restaurants, etc.)
Completed
Project Overview
This web application is an MVP/proof-of-concept designed to match a user with potential band mates that fit their search criteria. The main idea is that bandmates connects musicians looking for a singer, drummer, guitarist etc in a specific location and skillset that the user is looking for.
In order to achieve this, our team, the blue barracoders, had to use various APIs from google maps api, random german profile api. The styling and format used to create the display and styling was bulma. The back-end functions that were used to generate random profiles were designed by Javascript functions and J.Query. This web/ application was designed by Josh Allan, Melanie Hall, Patrick Whelan and Baxter Cox.
User Story
AS AN aspiring musician
I WANT to find other musicians
with similar interests and sounds
SO THAT I can form
and play in a band
Resources Used
- Bulma CSS Framework
- jQuery
- Font Awesome
- Random German Profile Generator API
- Google Maps API
Ideas for Future Development
- Resolve bug that causes a 30 second delay in card creation of potential matches
- Add some sort of modal or on-screen alert that tells the user to select an option from the search dropdowns
- Allow the user to create their own profile
- Grab the geolocation of the user & set it to the start location for the maps API call
- Add SoundCloud links of the user's profile/bio card
- Develop further communication channels and notifications for musicians who find a good match
Completed
Project Overview
D U G O U T allows you to build team rosters...all from the command line. It intakes data, and outputs an HTML file for you to quickly and easily view your team's structure.
User Story
AS A manager
I WANT to generate a webpage that
displays my team's basic info
SO THAT I have quick
access to emails and GitHub profiles
Resources Used
- Bootstrap CSS Framework
- Javascript
- Font Awesome
- Node.js
- Jest (npm i jest)
- Inquirer (npm i inquirer)
Links
Github RepositoryCompleted
Project Overview
This is a CLI application that runs using Node.js. It receives user input, and dynamically creates a readme file for a project after input is received.
User Story
AS A developer
I WANT a README generator
SO THAT can quickly create a
professional README for a new project
Resources Used
- Javascript
- Node.js
- Inquirer (npm i inquirer)
Links
Github RepositoryIn Progress
Project Overview
A passion project that I use to test out my learning and hone new skills. As I build this out, I want to be able to display trending restaurants in the area, current promos/deals, and tips on what to order. The project is still in its early stages, but with my ever-growing list of skills in web dev, I plan to see this take more shape over the years.
Follow @RVAGRUBS on Instagram for good eats in RVA and the surrounding areas.
User Story
AS A foodie living in RVA
I WANT to know all the
trending restaurants in the area
SO THAT I can try each
one
Resources Used
- Bootstrap CSS Framework
- jQuery
- Font Awesome
- Zomato API
Completed
Project Overview
In this project, I built a weather dashboard that runs in the browser. By calling and retreiving data from OpenWeather's one-call API, I was able to build a dynamic dashboard that updates automatically as new searches are entered by the user. Border colors update based on the temperature for that day. UV Index colors also change based on the value of that number.
User Story
AS A traveler
I WANT to see the weather outlook for
multiple cities
SO THAT I can plan a trip accordingly
Resources Used
- OpenWeather API
- Bootstrap CSS Framework
- jQuery
- Moment.js
Completed
Project Overview
In this project, I created a simple work day calendar application that allows the user to save events for each hour of the day. This app runs in the browser, and features dynamically updated HTML and CSS powered by jQuery. As the day progresses, past hour blocks appear in grey, current hour blocks appear in green, and future hour blocks appear in blue. Data that is added to hour blocks can be saved or cleared using the plus or minus icons, respectfully.
User Story
AS AN employee with a busy schedule
I WANT to add
important events to a daily planner
SO THAT I can
manage my time effectively
Resources Used
- Moment.js
- Bootstrap CSS Framework
- Javascrip
- jQuery
- Local Storage
- HTML/CSS
Completed
Project Overview
In this project, I create a random password generator using input from the end user on character count, and character set (lowercase, uppercase, numbers, and/or symbols). It is largely Javascript focused, and utilizes a series of functions to collect user criteria, output the password, and copy to the clipboard. I also used some Javascript to change the main heading upon password creation.
User Story
AS AN employee with access to sensitive data
I WANT to
randomly generate a password that meets certain criteria
SO
THAT I can create a strong password that provides greater
security
Completed
Project Overview
This is an interactive quiz that tests your knowledge on Javascript coding fundamentals. Race the clock as you try to answer every question before time runs out! Be careful though—every wrong answer deducts 10 seconds from the clock! Once you finish, be sure to save your score to the leaderboard list so you can come back and try and beat your top score!
User Story
AS A student of coding
I WANT to take a timed quiz on
JavaScript fundamentals that stores high scores
SO THAT
I can gauge my progress compared to my peers
Resources Used
- Javascript
- Bootstrap CSS Framework
- Background by freepik
Completed
Project Overview
This was purely a practice exercise that I did to test my knowledge and expand my capabilities. I put this one-page website template together shortly after being introduced to both Javascript and the Bootstrap CSS Framework, so I wanted to push myself and create something that I felt could actually be used by a restaurant. While the site is simple, it showcases my abilities to design with both the user and mobile in mind.
Resources Used
- Javascript
- Bootstrap CSS Framework
- Pexels (free stock photography)
Completed
Project Overview
This practice exercise focused on creating an API call, and returning the data received from the API call to display it for the user. It is a simple article search tool.
Resources Used
- jQuery
- NY Times API
- Javascript
- Bootstrap CSS Framework


A reference to the currently active PaperScope object.
The currently active project.
The list of all open projects within the current Paper.js context.
The reference to the active project's view.
The reference to the active tool.
The list of available tools.
A reference to the view.onFrame handler function.
A reference to the view.onResize handler function.
A reference to the tool.onMouseDown handler function.
A reference to the tool.onMouseDrag handler function.
A reference to the tool.onMouseMove handler function.
A reference to the tool.onMouseUp handler function.
A reference to the tool.onKeyDown handler function.
A reference to the tool.onKeyUp handler function.
Utility function for rendering numbers as strings at a precision of up to the amount of fractional digits.
Copyright © 2011 Jürg Lehni & Jonathan Puckey. All Rights Reserved.


We make products from organic coconuts which oil makes your skin look beautiful. Browse our products Check out reviews Recommend us to friends: share!


result of using for loop():
result of using forEach():
result of using arrow function():
using filter() to filter AGES:
Display names that contain more than 3 chars:
RESULT OF .map()
RESULT OF .map() and .sort() using ARROW function:-
then sort ages by using forEach
then get amale info by using forEach


Many software faults are triggered by unusual combinations of input values and can be detected using pairwise test sets that cover each pair of input values. The generation of pairwise test sets with a minimal size is an NP-complete problem which implies that many algorithms are either expensive or based on a random process. In this paper we present a deterministic algorithm that exploits our observation that the pairwise testing problem can be modeled as a k-partite graph problem. We calculate the test set using well investigated graph algorithms that take advantage of properties of k-partite graphs. We present evaluation results that prove the applicability of our algorithm and discuss possible improvement of our approach.


{% from "govuk/components/file-upload/macro.njk" import govukFileUpload %} {% from "govuk/components/details/macro.njk" import govukDetails %} {% from "govuk/components/table/macro.njk" import govukTable %} {% from "govuk/components/inset-text/macro.njk" import govukInsetText %} {% from "govuk/components/checkboxes/macro.njk" import govukCheckboxes %} {% from "govuk/components/textarea/macro.njk" import govukTextarea %} {% from "govuk/components/button/macro.njk" import govukButton %} {% macro fileUpload(uploadedEvidence) %}
You can upload evidence to support your answer such as letters, photos and documents. If you are taking a picture of a letter, place it on a flat surface and take the picture from above.
{% endset %} {{ govukInsetText({ html: uploadFormFields }) }} {% set evidenceArray = [] %} {% for evidence in uploadedEvidence %} {% set evidenceArray = (evidenceArray.push([ { html: '' + evidence.fileName + '
' + evidence.description + '
' }, { html: "", format: "numeric" } ]), evidenceArray) %} {% endfor %} {% if evidenceArray and evidenceArray.length > 0 %} {{ govukTable({ caption: "Uploaded files", firstCellIsHeader: false, rows: evidenceArray }) }} {% else %} {{ govukTable({ caption: "Uploaded files", firstCellIsHeader: false, rows: [[{ html: 'No files uploaded
' }]] }) }} {% endif %}


restaurant_menu
YIELDS
12 servings
query_builder
PREP TIME
45 minutes
query_builder
COOK TIME
1 hour
query_builder
TOTAL TIME
7,75 hours
Ingredients
Graham Cracker Crust
Cheesecake
Instructions
1
Adjust the oven rack to the lower-middle position and preheat oven to 350°F (177°C).
2
Make the crust: Using a food processor, pulse the graham crackers into crumbs. Pour into a medium bowl and stir in sugar and melted butter until combined. (You can also pulse it all together in the food processor.) Mixture will be sandy. Press firmly into the bottom and slightly up the sides of a 9-inch or 10-inch springform pan. No need to grease the pan first. I use the bottom of a measuring cup to pack the crust down tightly. Pre-bake for 8 minutes.  The foil will wrap around the pan for the water bath in step 4. Allow crust to slightly cool as you prepare the filling.
3
Make the fillingUsing a handheld or stand mixer fitted with a paddle attachment, beat the cream cheese and granulated sugar together on medium-high speed in a large bowl until the mixture is smooth and creamy, about 2 minutes. Add the sour cream, vanilla extract, and lemon juice then beat until fully combined. On medium speed, add the eggs one at a time, beating after each addition until just blended. After the final egg is incorporated into the batter, stop mixing. To help prevent the cheesecake from deflating and cracking as it cools, avoid over-mixing the batter as best you can.
4
Prepare the simple water bath (see note):Watch my video tutorial above; the visual guide will assist you in this step! Boil a pot of water. You need 1 inch of water in your roasting pan for the water bath, so make sure you boil enough. I use an entire kettle of hot water. As the water is heating up, wrap the aluminum foil around the springform pan. Pour the cheesecake batter on top of the crust. Use a rubber spatula or spoon to smooth it into an even layer. Place the pan inside of a large roasting pan. Carefully pour the hot water inside of the pan and place in the oven. (Or you can place the roasting pan in the oven first, then pour the hot water in. Whichever is easier for you.)
5
(Note: if you notice the cheesecake browning too quickly on top, tent it with aluminum foil halfway through baking.) Bake cheesecake for 55-70 minutes or until the center is almost set. When it’s done, the center of the cheesecake will slightly wobble if you gently shake the pan. Turn the oven off and open the oven door slightly. Let the cheesecake sit in the oven in the water bath as it cools down for 1 hour. Remove from the oven and water bath, then cool cheesecake completely uncovered at room temperature. Then cover and refrigerate the cheesecake for at least 4 hours or overnight.
6
Use a knife to loosen the chilled cheesecake from the rim of the springform pan, then remove the rim. Using a clean sharp knife, cut into slices for serving. For neat slices, wipe the knife clean and dip into warm water between each slice.
7
Serve cheesecake with desired toppings. Cover and store leftover cheesecake in the refrigerator for up to 5 days.


MOJJO
pizza mojjo
Pizza mojjo is the best pizza place accross town the chef`s prepaire the best ingridents and delicacies in the world.
Pizza mojjo is the best pizza place accross town the chef`s prepaire the best ingridents and delicacies in the world.


Laurence Christensen
Unafffiliated
Actuarial Manager - Optum: 3/2018-present Senior Actuarial Consultant - Optum: 7/2017-3/2018 Actuarial Analyst III - Anthem: 7/2006-7/2017
University of Colorado: BA in Mathematics and Physics Ball State University: MA in Actuarial Science Associate of the Society of Actuaries (ASA) American Academy of Actuaries Member (MAAA)
80014
Society of Actuaries
I want to start getting involved.
Redistricting can shape the future of Colorado politics. It would like to be a part of the process, and ensure the map represents our varied communities not just a political party.
As a consultant, my duty has always been to my clients. I can offer my advice, take criticism, and find common ground. I take pride in my consolatory nature, and feel comfortable navigating controversy. I will present my opinion, back up my argument, but always be open to new ideas and perspectives.
In my career as an actuary I often analys demographic and area information. It would be wonderful to apply my expertise in population statistics to help the State of Colorado.
Male


TripleR: Social Relation Model (SRM) Analyses for Single or Multiple
Groups
Social Relation Model (SRM) analyses for single or multiple
round-robin groups are performed. These analyses are either based on one
manifest variable, one latent construct measured by two manifest variables,
two manifest variables and their bivariate relations, or two latent
constructs each measured by two manifest variables. Within-group t-tests
for variance components and covariances are provided for single groups.
For multiple groups two types of significance tests are provided:
between-groups t-tests (as in SOREMO) and enhanced standard errors based on
Lashley and Bond (1997) <doi:10.1037/1082-989X.2.3.278>. Handling for missing values is provided.
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=TripleR
to link to this page.


To help us manage the Hydra site, we sometimes place small data files on your computer. These are known as cookies. Most websites do this.
They improve things by:
Our cookies aren’t used to identify you personally. They’re just here to make the site work better for you. Indeed, you can manage and/or delete these small files as you wish.
To learn more about cookies and how to manage them, visit AboutCookies.org. Or please read on to find out more about how and where we use cookies.
Hull's Hydra website uses cookies in several places – we’ve listed each of them below with more details about why we use them and how long they will last.
We use Google Analytics to collect information about how people use this site. We do this to make sure it’s meeting its users’ needs and to understand how we could do it better.
Google Analytics stores information about what pages you visit, how long you are on the site, how you got here and what you click on. We do not collect or store your personal information (e.g. your name or address) so this information cannot be used to identify who you are. We do not allow Google to use or share our analytics data.
The following cookies are set by Google Analytics:
| Name | Typical Content | Expires |
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| _utmx | randomly generated number | 2 years |
| _utmxx | randomly generated number | 2 years |
| _utmz | randomly generated number and information on how the site was reached (e.g. direct or via a link, organic search or paid search) | 6 months |
To help us manage the 'session' in Hydra on your browser we generate a cookie that allows us to keep track of, for instance, your searches. This is completely anonymous information but allows us to provide you with facilities like your 'search history'.
| Name | Typical Content | Expires |
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| _hull_session | a sequence of randomly generated characters | when you close your browser |
If you log into Hull University systems, including this one, using our Central Authentication Service (CAS) we store information relating to your successful login. This means that for as long as your browser remains open, or until you click a 'logout' button, you will not be asked to provide your login details again.
| Name | Typical Content | Expires |
|---|---|---|
| JSESSION | a sequence of randomly generated characters | when you close your browser |
| CASTGC | a sequence of randomly generated characters | when you close your browser |


{% extends "base.html" %} {% block content %}
This is a project that aims to demystify the "black-box" stigma that modern Data Science models get. It is model agnostic, providing the same visuals and explainability tools for each problem no matter the Data Science solution that you choose to solve it with.
If you find this Project helpful, make sure to pass the knowledge along. My goal in making this is to make Data Science models more widely explainable and useable. If you have an idea for how to make this more successful, whether it be an engineering optimization or visual suggestion, feel free to open an issue on Github and/or shoot me an email<EMAIL_ADDRESS>lorem ipsum


Infinity | BOT is a high quality
The right bot for your discord!
Raiting 5/5 ★★★★★
Infinity bot has simple moderation commands.
You can easily throw the user kick, ban and warn.
It also contains other commands such as infractions, say and more
Infinity bot has advanced music system.
Has play/skip/voteskip/playother/volume and more.
Contains mainly queue.
Infinity bot has fun system (commands).
Has dog/llama/cat/seal and more.
It also contains other commands such as hack and more.


Additional remarks for MailMergePending/AddressType
This property contains the value of Address type, which must be used in the merge process. Note: This property is used in Mail Merge, and it is obsolete in Word Merge.


{{extend 'layout.html'}} {{if 'message' in globals():}}
Above "message" is set in the Web2py controller and is evaluated server side by the Web2py view.
Above "message" is set in angular data model and evaluated client side.
Angular variable set to Web2py's "message"
Above is an example of how changing the angular data model in one place updates everywhere the variable is used.
Notice that "databindMessage" changes in all of the places displaying Angular's "databindMessage" variable but not in the places displaying the Web2py message variable.


Dashboard
Create new user
Transactions
Purchases
Orders
Ingredients
Suppliers
Staff details
Menu
Dashboard
Create new user
Transactions
Purchases
Orders
Ingredients
Suppliers
Menu
DASHBOARD
TOTAL EARNINGS FROM ORDERS
Sample text
TOTAL EXPENDITURE FROM PURCHASES
Sample text
TOTAL NUMBER OF TRANSACTIONS
Sample text
CURRENT NUMBER OF EMPLOYEES
Cooks:
Waiters:
Cashiers:
Cleaners:
Maintenance people:


PAINT
Register
Input a valid E-mail and password.
Email:
Password:
Remember me
Submit
For more enquires call<PHONE_NUMBER>6.....
Or contact me on the following platforms..........


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Deliver an engaging experience for your customers.
Expand customer accessibility to more experts.
Scale expertise and drive productivity of financial experts.
Simplify use for both customers and experts.
Map into retail banking workflows for mortgage lending, wealth management, and other services.
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Bank of Montreal
Cisco
Home Banking
Mobile Advisor
Remote Expert
Social Media
AmEx Mayday
Bank of New Zealand
Nationwide
Allied Irish Bank
Nationwide #2
UMB
Connect with an expert!
Business
Value Proposition
Deliver an engaging experience for your customers.
Expand customer accessibility to more experts.
Scale expertise and drive productivity of financial experts.
Simplify use for both customers and experts.
Map into retail banking workflows for mortgage lending, wealth management, and other services.
Links
Nationwide
Bank of Montreal
Cisco
Home Banking
Mobile Advisor
Remote Expert
Social Media
AmEx Mayday
Bank of New Zealand
Nationwide
Allied Irish Bank
Nationwide #2
UMB
Connect with an expert!
Wealth
Value Proposition
Deliver an engaging experience for your customers.
Expand customer accessibility to more experts.
Scale expertise and drive productivity of financial experts.
Simplify use for both customers and experts.
Map into retail banking workflows for mortgage lending, wealth management, and other services.
Links
Nationwide
Bank of Montreal
Cisco
Home Banking
Mobile Advisor
Remote Expert
Social Media
AmEx Mayday
Bank of New Zealand
Nationwide
Allied Irish Bank
Nationwide #2
UMB
Connect with an expert!
Banking
Value Proposition
Expand customer accessibility to more experts.
Bring branch capabilities to customer homes.
Simplify use for both customers and experts.
Add language & translation functionality.
Increase hours of operation.
Maintain personal interaction via a different channel.
Links
Hertz
Kiosk
Mobile Experience
Physical Security
Bank ITM
Signature
BOA Branches
Bank of America
Connect with an expert!
American Express Mayday
Bank of America
Bank of New Zealand
Bank of America Branches
Nationwide
Allied Irish Bank
Nationwide #2
UMB


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| Jump to DART Documentation Main Index |
There are many MODIS products, in many formats. This document will list all of the data products and formats that have DART programs to convert them to observation sequence files.
| MOD15A2_to_obs | Converts MODIS Land Product Subsets Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) 8 day composite [MOD15A2] |
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


Resume
Elon Reeve Musk FRS is a business magnate, industrial designer, and engineer. He is the founder, CEO, CTO, and chief designer of SpaceX; early stage investor, CEO, and product architect of Tesla, Inc.; founder of The Boring Company; co-founder of Neuralink; and co-founder and initial co-chairman of OpenAI. A centibillionaire, Musk is one of the richest people in the world.
March 1999
In March 1999, Musk co-founded X.com, an online financial services and e-mail payment company, with US$10 million from the sale of Zip2.
October 2000
Musk was ousted in October 2000 from his role as CEO of PayPal (although he remained on the board) due to disagreements with other company leadership, notably over his desire to move PayPal's Unix-based infrastructure to Microsoft Windows.
2001
In 2001, Musk conceptualized Mars Oasis, a project to land a miniature experimental greenhouse on Mars, containing food crops growing on Martian regolith, in an attempt to regain public interest in space exploration.
May 2002
Musk founded Space Exploration Technologies, or SpaceX, in May 2002 with US$100 million of his early fortune. Musk became the chief executive officer (CEO) and chief technology officer (CTO) of the Hawthorne, California-based company. SpaceX develops and manufactures space launch vehicles with a focus on advancing the state of rocket technology.
October 2002
In October 2002, PayPal was acquired by eBay for US$1.5 billion in stock, of which Musk received US$165 million.
July 2003
Tesla, Inc. (originally Tesla Motors) was incorporated in July 2003 by Martin Eberhard and Marc Tarpenning, who financed the company until the Series A round of funding.
September 2008
In September 2008, SpaceX's Falcon 1 rocket became the first privately funded liquid-fueled vehicle to put a satellite into Earth orbit.
2010
In 2010, the Musk Foundation collaborated with SolarCity to donate a 25-kW solar power system to the South Bay Community Alliance's hurricane response center in Coden, Alabama.
May 25, 2012
On May 25, 2012, the SpaceX's vehicle, Dragon berthed with the ISS, making history as the first commercial company to launch and berth a vehicle to the International Space Station.
2013
By 2013, SolarCity was the second largest provider of solar power systems in the United States.
January 2015
In January 2015, Musk made a guest appearance playing himself on The Simpsons in an episode titled "The Musk Who Fell to Earth"; the episode poked fun at many of Musk's ideas.
January 2015
Musk donated US$10 million to the Future of Life Institute in January 2015, to run a global research program aimed at keeping artificial intelligence beneficial to humanity.
May 12, 2017
Hyperloop One, a company unaffiliated with Musk, had announced that it had done its first successful test run on its DevLoop track in Nevada on July 13, 2017. It was on May 12, 2017, at 12:02 a.m. and had lasted 5.3 seconds, reaching a top speed of 70 mph.
December 2017
At a Tesla event on the sidelines of the Conference on Neural Information Processing Systems in December 2017, Musk stated that:
2019
On 19th February 2019, according to Forbes, Musk stated in a tweet that Tesla would build half a million cars in 2019. Dane Butswinkas, who arrived on 17th December to serve as Tesla’s General Counsel reporting to Musk and likely reviewing his tweets after the settlement agreement was reached, resigned on 21st February.


@import uk.gov.hmrc.govukfrontend.views.html.components._
@this(govukBreadcrumbs : GovukBreadcrumbs)
@()
@govukBreadcrumbs(Breadcrumbs(
items = Seq(
BreadcrumbsItem(
content = Text("Home"),
href = Some("#")
),
BreadcrumbsItem(
content = Text("Passports, travel and living abroad"),
href = Some("#")
),
BreadcrumbsItem(
content = Text("Travel abroad"),
href = Some("#")
)
)
))


SNAKE EYES (director: Brian De Palma; cast: Nicholas Cage, Gary Sinise,Carla Gugino, Luis Guzman, Stan Shaw, Kevin Dunn, John Heard, 1998)
After a brilliant, stylish opening sequence, this film begins to unravel and by the time it ends, it is a misfire. Cage and Sinise play well off each other: Sinise reserved (just right for the part), Cage frenetic (over - emoting but still very effective). Cage is the free - spirited, corrupt Atlantic City cop and childhood friend of Sinise, who is the naval officer in charge of security for the secretary of defense.
He is in Atlantic City to protect the secretary while he attends the heavyfight fight, that turns out to be fixed; Cage is his guest, he is only there to watch the fight, but in some ludicrous way becomes in charge of the investigation after the assassination.The assassination taking place in the crowded boxing venue is masterfully done, and well worth the price of admission, as De Palma goes crazy with his cameras offering numerous shots from all different angles of the crowd and the casino.
We are witnesses to this assassination from many different perspectives. We soon learn who the villains are, so the picture that so brilliantly set - up an interesting set of conflicts between the characters such as: loyalty, corruption, sense of duty, patriotism, and one's own personal dilemmas begins to go off in another direction, in the direction of where the film - makers think it can draw in the box office crowds, that is, it turns into a flat action movie, where things are easily predictable and we are cut off from any emotional involvement with the characters.
The camera is the only star of this film. In the end, this became a very annoying picture that promised so much and only delivered what could be best described, as superficial entertainment.
REVIEWED ON 9/18/98 GRADE: C
Dennis Schwartz: "Ozus' Movie Reviews" http://www.sover.net/~ozus
© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
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A splendid pen portrait of Paul “Bono” Hewson from Peter Hitchens:
Those present at both party conferences had to endure glutinous video-screen lectures from the Irish millionaire popular singer with the surgically attached sunglasses who bizarrely calls himself after a well-known dog biscuit.


Reenter the Dragon: Engineering
In a sunny day, a year and a half ago, I was finally receiving my
bachelor’s diploma, after six years
Why? This whole time I was trying to understand the shitstorm those years were and I won’t claim I have all the answers, I’m not that wise, but some of the roots of the problem are quite clear to me now.
I believe the main reason of my torment was the teaching methodology — along with the basically total lack of guidance from the professors — prioritized by universities. For some reason, still in the 21st century, we still are victims of the bottom-up consensus, where the student, having no idea of what is going on, is forced to understand complicated concepts, in the hopes that someday an angelic comprehension of the whole might arrive, saving the day and, much more importantly, his or her confidence. Let me emphasize this last part: confidence. Let me repeat it to you: confidence. This is not a hyperbolic catchy statement to justify tautologically the phenomenon: it’s science.
Studies in psychology attest the direct relationship between confidence and reasoning. Strained confidence invariably lowers the individual’s IQ, and the self-realization of the diminished capabilities triggers the feedback loop of a trap that sometimes may even become depression. That’s why, in interviews for companies with stressful environments, the interviewer usually attacks personal achievements and, only then, asks test’s questions.
The relationship of the confidence loop with the bottom-up approach is key to understanding the failure of many, if not most, universities. Due to the uncertainty of not knowing the logical connections between the parts — i.e., the big picture — of what’s being taught, the student will always question if what he knows is not a mistake, a big and frequent blow to confidence.
In the book
Microsociology
But wait, there’s more. If you think the problems with bottom-upping
end with the hideous confidence trap, you’ll be surprised. I will only
cite here one of the other problems: the disparity between life in
university and in the real world. And I don’t mean couchsurfing and
partying regularly. The actual problem is that the courses, especially
in exact sciences, focus all of their efforts in a firehose stream of
bickering about details: there is too small an emphasis on the
building of intuition, the bread and butter of everyday activities. In
universities, you will find yourself for days embroiled in endless
derivations that I assure you, unless you become a researcher, will
mostly be useless
At this point, I hope I have convinced you that I had some reasons — perhaps I have been too extreme? — to distance myself from this field which distilled me of all my prior passion for exact sciences, left me with endless existential momentaneous insecurities and, in exchange, gave me a diploma. Lastly, with true sadness, I can’t help but downgrade most of the professors I’ve met as the worst type of tutor, the hypocrite kind, one that sees the pain of learning under such a centuries outdated horrible algorithm and, still, blames it on the student.
In truth, this sabbatical period has been a rehab for me. I am finally close to fully disintoxicated, and soon I’ll be able to have a point of view less biased by my frustrations; and, hopefully, I’ll get a place at the field that most interests me right now: machine learning.
In this last year and a half, I would say I had two major breakthroughs that really broadened my perspective on life and which I would like to briefly discuss here. The first one was my stay in South Korea and a trip to China.
Naively, I went there thinking I would not have too much trouble trying to adapt, in part because I had already lived abroad in the past; and, also, due to globalization: I believed their habits, at this point in time, would be not so out of line with ours, westerners. Unsurprisingly, I was deeply wrong: the depth of the cultural difference between us is still abysmal. Everyday I was aghast at how they would mostly just follow the flow, repeat tasks and put their intuition above all other methods of achieving the same results — e.g. logic, the one I had invested most of my life on. That way of living caused a huge impact on me and, slowly, I am privileging intuition more and more over formal logical reasoning. We all make mistakes and we should use them to hone our intuition and not as a justification to question our knowledge at every step — curiously, that’s also the lesson machine learning is teaching us.
The second turning point, perhaps even more crucial, has been studying
for jobs in the government, which are obtained through open exams here
in Brazil. The core of the change is in thinking about how to study,
not only about what to study. A better method yields more efficiency,
but, as you’re using the optimal solution, it also generates a
significant boost to your confidence. This has been a deciding change
for me; even though most of my praxis hasn’t changed, I am now much
more confident, since I know that what I do is close to best
In the last two weeks, I’ve noticed a big — and somewhat
involuntary — change in my interests: I can’t even focus
properly on my upcoming exam anymore! I’ve been frantically scooping
the internet for everything related to machine learning, I’ve watched
a lot of lectures, read many excerpts from various books and even
coded some algorithms. All with the top-bottom


A binary search tree with AVL balancing.
I will be working to add different balancing techniques such as red black trees, scapegoat, and splay. Uses Commonjs module system. Every utility function, type, interface, and class are able to be imported from the module or as one object.
npm install --save binary-type-tree
The library for now uses only an AVL balanced binary tree. The basic structure is
AVLTree - AVLNode - Node<T>
The node is a generic abstract class which can be extended. AVLNode class extends this generic Node. Finally the AVLTree extends the AVLNode, which simply is a parent class that holds the entire tree of AVLNodes. AVLNode is simply an extension of the base Node class which I hope to build on for more self balancing trees. AVL is simply the first choice.
Before you create a tree you will want to consider how your keys and values will be structured. All values
are stored as an array even when just one element. The key can be many different types but cannot be an object
.
There are three functions provided by default in src/bTreeUtils.ts
, that compare equality and validity
that can be replaced by custom functions. These are very important when it comes to $gt, $lt, $ne
comparisons
made for the query
method. The implementation of the query
is on the root Nodelib/basic-node/node.ts
. During the constructor you can choose to initialize your AVL tree with several starters or none.
$gt, $lt, $gte, $lte
. Takes two arguments { a: this.key, b: $queryValue }
,
the query value is of $gt/$lt/$gte/$lte. The Default takes only a number|string
. If you supply an fn you must adhere to these rules. this.key
is supplied by the inner workings of this library as the the tree is traversed. ===
as a comparison and returns that boolean. The two arguments are {a: this.key, b: $queryValue }
, the query value is the value of $ne.
The default takes only number|string|Date
. If you supply a fn you only need to return boolean of the comparison of the two with your own logic. import { AVLTree } from "binary-type-tree";
// This will create a tree with unique false, key/value null and default fns
let TestTree: AVLTree = new AVLTree({});
// I think this would be the best use of the tree.
let TestUTree: AVLTree = new AVLTree({unique: true});
Inserting and deleting is very easy and re-balances after during both and returns the re-balanced tree.
TestUTree.insert(123, ["abc"]); // this is a unique tree
TestUTree.insert(123, ["abc"]); // Throws error
TestUTree.insert(456, ["efg"]); // no error
TestUTree.delete(456, ["efg"]); // true.
// if there is not key that matches it will simply return the unchanged tree.
Query is very simple and easy to use and returns an array of the values found. There are also some other methods to query information from the tree.
import * as BTT from "binary-type-tree";
// BTT.ASNDBS is a type which is almost any. Used for Keys
// Array,string,number,Date,boolean,symbol,null
// the full type declaration is
//
// Array<any[]|string|number|Date|boolean|symbol|null>|string|number|Date|boolean|symbol|null
//
// BTT.SNDBSA is a type which is almost any in array for Values
// full type
//
// Array<{}|any[]|string|number|Date|boolean|symbol|null>
//
let numEight: BTT.SNDBSA = avlTree.tree.search(8);
//
let avlTree: BTT.AVLTree = new BTT.AVLTree({unique: true});
// Lets avlTree tree has keys 0-100 with values 100-0
//
// I want all the keys greater than or equal 90
let nintyUp: BTT.SNDBSA = avlTree.tree.query({$gte: 90});
// nintyUp will have an array of values from [10..0]
//
// If I want to get values greater then 50 but less than 60 but not 55
let fullQuery: BTT.SNDBSA = avlTree.tree.query({$gte: 50, $lte: 60, $ne: 55});
// fullQuery = [50,51,52,53,54,56,57,58,59,60];
//
// You could supply a new checkKeyEquality to check for arrays
// so you could possibly have
let exampleQ: BTT.SNDBSA = avlTree.tree.query({$ne: [...90]});
//
//
//
// You could also find yourself needing more information
let max: BTT.ASNDBS = avlTree.tree.getMaxKey();
let min: BTT.ASNDBS = avlTree.tree.getMinKey();
let totalKeys: number = avlTree.tree.getNumberOfKeys();
let maxAVLNode: BTT.AVLNode = avlTree.tree.getMaxKeyDescendant();
let minAVLNode: BTT.AVLNode = avlTree.tree.getMinKeyDescendant();
//
//
// If you would like to check the AVLTree for validity
avlTree.tree.checkisAVLT(); // throw error if pointers fail, wrong ordering. and AVL height restrictions. or if not root node.
If you would like to update a key you can with this new method. With unique trees the
method will throw an error if the attempt to update a key to an existing key is
made. Updates do not upsert, the method will simply return a non modified tree if
the key to be update is not found. For non unique trees if the values are simply
moved from one node to the node matching the newKey
argument. If the newKey
does
not match anykeys on the tree then a new one is created and the old node is removed.
For unique keys this also happens when there is no match for the newKey
.
const AVL = new AVLTree({});
const AVLU = new AVLTree({unique: true});
AVLU.insert(123, [45]);
AVLU.insert(13, [56]);
AVLU.updateKey(123, 133); // node 123 will be removed and 133 will be created
AVLU.updateKey(13, 133); // no change, newKey exists. Error is thrown.
AVL.insert(1, [1]);
AVL.insert(1, [2]); // node with key 1 now has value [1,2];
AVL.insert(2, [3]);
AVL.updateKey(1, 2); // node with key 2 now has value [1,2,3];
If you would like to write a custom function to execute on every AVLNode then you can use the executeOnEveryNode
method, it takes a type of any
but and returns. Best used by supplying a reference to a function.
const keys: BTT.ASNDBS = [];
let executed: number = 0;
avlTree.tree.executeOnEveryNode((node) => {
keys.push(node.key);
executed += 1;
});
If you would like to create a AVLNode with similar options to another tree without a key or value there is a method to do so.
const similarNode: BTT.AVLNode = avlTree.tree.createSimilar({});
There is also a method available to retrieve the node holding a key.
// returns null if node is not found.
const queryNode: BTT.AVLNode|null = avlTree.tree.getAVLNodeFromKey(123);
toJSON has been added to convert a any tree into an array in JSON of objects holding the key and value of every node. The order of the nodes in the array are sorted in a way that a re-balance will not occur if you were to loop over the array and insert into any tree.
// for now there is only one tree type so AVLTree is used for the type.
const JSONTree = AVLTree.tree.toJSON<AVLTree>(); // retrieve tree as JSON
lets say given this btree
__________ 40 ___________
/ \
____ 20 ____ ____ 60 ___
/ \ / \
10 30 50 _70 _
/ \ / \ / \ / \
5 15 25 35 45 55 65 75
/ \ / \ / \ / \ / \ / \ / \ / \
3 7 12 17 23 27 33 37 43 47 52 57 62 67 72 77
The master array would hold
const input = [ [40], [20,60], [10,30,50,70], [5,15,25,35,45,55,65,75],
[3,7,12,17,23,27,33,37,43,47,52,57,62,67,72,77]];
//
// This would then be formatted into this
const result = [ [40], [60,20], [70,30,50,10], [75,35,55,15,65,25,45,5],
[77,37,67,17,57,27,47,7,72,33,62,23,52,12,43,3]];
//
// This is done by breaking up each array as it comes in by their indices
//
// Previous: [0,1], Current: [0,1,2,3]
// get evens/odds and sub Previous from Current, Current odds [3], Previous odds [1], Current evens [2], Prev Evens [0];
// creates
const row3 = [3,1,2,0]; // 70,30,50,10
// Now for the next level
//
// Previous: [3,1,2,0], Current: [0,1,2,3,4,5,6,7]
// same step
// Current odds: [7,5], Previous odds: [3,1], Current evens: [6,4], Previous evens: [2,0]
// creates
const row4 = [7,3,5,1,6,2,4,0]; // 75,35,55,15,65,25,45,5
All of these arrays are then put together into one array to reference the master array of objects to then create a JSON array. Since this method only looks at the index of the arrays and not the contents of the keys or values no comparisons are needed.
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Patterns searching and binary classification in economic and financial data is a
large field of research. There are a large part of the data
that the target variable is binary. Nowadays, many methodologies
are used, this package collects most popular and compare different
configuration options for Linear Models (LM), Generalized Linear Models (GLM),
Linear Mixed Models (LMM), Discriminant Analysis (DA),
Classification And Regression Trees (CART), Neural Networks (NN) and Support Vector Machines (SVM).
| Version: |
0.1.4 |
| Depends: |
R (≥ 3.2.3) |
| Imports: |
crayon, dplyr, MASS, lme4, rpart, nnet, e1071, lmtest, nortest, clisymbols, ggplot2 |
| Suggests: |
testthat, knitr, rmarkdown |
| Published: |
2018-04-09 |
| Author: |
Agustín Pérez-Martín [aut],
Agustín Pérez-Torregrosa [cre,
aut],
Marta Vaca-Lamata [aut],
Antonio José Verdú-Jover [aut] |
| Maintainer: |
Agustín Pérez-Torregrosa <agustin.perez01 at goumh.umh.es> |
| BugReports: |
https://github.com/economistgame/OptimClassifier/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://economistgame.github.io/OptimClassifier |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
OptimClassifier results |


Finance can be seen similar to a chain of command, just that it is a circle with the front line worker in the end providing the funding through pensions or life insurance. How corporations are run is very important in this entire system and with agency theory alreaddy hinting at the problems to link shareholder and management interest, corporate governance has increased in importance.
<!– more –>
Market-based systems are one form of corporate governance and it’s a set of systems and strucutres, the "rules of the game" for top managers, set by the board of directors and showing what stakeholders can expect in how the corporation will be run.

In the USA, ownership and control is generally seperated but arguments have since started with Jensen and Mockling (1970) that this seperation means CEOs will not always maximise shareholder value. In the 1990s option schemes rose to more aling shareholders and managemnt. Now shareholders rebelled as underwater options weren’t converted.

Who ownes the companies? In the USA 60% of all shares are held by institutions (pension, mutual, insurance funds, …). In the UK that’s 66%. They control hundreds of billions of dollars worldwide. Their control is limited by a legal need to diversify (UK) and by the Glass Steagall Act (US). With 60 or more firms in their portfolio, they do not have the time, and do not see the need, to closely watch senior management, rather keeping their independetness.

Many investing institutions even give proxy votes to management making it unlikely that any (even organised) vote against management comes through.

Systems for corporate governance could be: - alignment of management remmuneration to shareholder interest - board seats to independent non-executive directors representing shareholders - the market for corporate control, as it is known, simply meaning that shareholders can sell their shares, forcing the stock price down, allowing for a hostile take over - creditors have high influence - change of financial statute for realignement

Increasing gearing meant that the bankrupty risk increased and management has to manage the cash flow more efficiently. This is a new form of LBO (leveraged buyout) if you want.

MBOs are often used when parts of the company are underperforming due to competition on funds and subsidisation of other parts of the company.

Relationship based systems are more used in Germany, Japan and France. Here the shareholding is less diffuse with large chunks being owned by corporates or banks. Relationships with these large shareholders are long-term and may or may not be formal like via supervisary boards over the board of directors.

Monitoring is the main form here and linking executive pay to the shre price is rare, as are hostile takeovers or mergers. There are even restrictions on voting rights underlying shares limiting them to not allow for control, no matter what the number of shares.

Partly due to the funding needs market-based systems are increasing and shareholder value is starting to replace stakeholder value even though this change is slowing down.

Internal v. external reporting

Internal (management accounting): planning, decision-making, control, often performance is measured. External (financial accounting): decision making, stewardship, accountability, each stakeholder needs different numbers but the main one in the Anglo-Saxon model is the shareholder anyway.

Financial reports did not aling managers with adding value for shareholders and this has led to linking pay to shareprice via options or shareperformance in relation to an index or other sahre measures. This has lead to senior managers being valued based on economic value-based measured while other managers are measured on accounting-based measures.

Dillon and Owers (1997) argued that measurement metrics within a management control system need to be: - consistent with corporate objectives - perceived to be fair - variables must be SMART - inform management when to take action

Divisional busdget targets are normally set artificially low by the respective managers, to easily meet their targets and this is not inline with senior management objectives to increase revenue per share or economic value.

Leveraged buy-outs targetted firms with apparent low earnings (high P/E) but high cash flows (low P/CF). EV/EBITDA is another value that is often used. DCF brought in the importance of Cost-of-Capital for a firm’s value, which LBOs knew. They reduced WACC to improve operations, kind of.

All this, including dramatic changes in share value not reflected in P/E values drove a rethinking towards cash flow and the importance of WACC. Efficient use of capital resources grew more important than growth for growth’s sake.

Economic and accounting measures

An external market for corporate control can be most efficient but there is still an attempt to have internal systems. They are related to shareholder value and they look at returns only after those expected by investors. They are based on the concept of economic income, which is the generated income net of investors’ ROCI. Economic income started as a concept in the 1930s (Peinreich, 1938):

Accounting profit = NOPAT = Ct (At - A_t-1) where C= cash paid out to owners (all providers of capital) A = accounting book value

Economic income = residual income = Et = NOPATt - WACC x A_t-1

This means you show the return after having given all owners the return they wanted for taking the risk of investment in the beginning of the period.

After that, the value of the company is: Vt = SUM ( Ct+n / (1+WACC)n )

Vt = At + SUM (E_t+n /(1+WACC)n )

While the first one is cash flow based, the second one is based on economic value added, but they should give the same values. This is actually similar to NPV in that it looks at the excess return.

It does require comprehensive income and clean surplus accounting principles though, which are not required at this time. This means that there might need to be 164 changes to the asset values in your books.

In response UK accounting regulators have introduced the Statement of Total Reconised Gains and Losses (STRGL, struggle) working in a clean surplus profit for shareholders method.

The ISB is also encouraging a move to economic vlaue and might require balance sheet items to be quoted in value in use, which requires a DCF method.

Economic income is actually the same as economic value added (EVA), a term trademarked by Stern Steward.

EVAt = NOPATt - WACC x At-1 = (ROCEt - WACC) x A_t-1 (As ROCE = NOPAT/A)

They do argue that due to the already quoted Vt calculation, a positive EVA will lead to a higher Vt. And the last formula tell a company to work on activities that earn a ROCE above WACC and to minimise the WACC. The nice thing is that this is relatively easy to understand and this measure can be used both for internal managers as well as shareholders or top management.

Economic income in internal reporting are gaining popularity (EVA, SVA), but more so in the US than in the UK. They do mostly still use budgets, target profit, target cash flow, value drivers or balanced scorecard. Only 10% use EVA and 15% SVA. In the US, NPV, ROIC, CFROI (real IRR of the investment) or EVA are important.

The problem with NPV is that it is purely a cash flow measure and this is not so readily available in standard management accounting systems. But it is still used a lot for projects.

ROIC is calculated via NOPAT (adjusted as if there was no debt) and the opening or average capital by long term investors.

CFROA is both about the future as well as the present and past, but again a cash flow measure and it is inflation adjusted for easier comparison. It has to be compared to cost of capital in real terms and can be used as a means of valueing companies.

EVA is a money amount and no ratio. It also looks at NOPAT and removes a charge for WACCxAssets. The last three are really saying the same thing in the end. The disadvantage for EVA is that it is not easy to compare companies as it is an accounting measure and Stern Steward said that there are up to 164 accounting adjustments needed to be made to book values to reflect current value of invested capital.

There are three main adjustments: - goodwill that has been written off needed to be added back to invested capital and if deducted from profits added back to NOPAT. Companies that are bought need to earn about WACC on their true book value. - R&D expenditure needs to be treated as an asset and hence needs to be added back to NOPAT and included in invested capital. - Leases are part of invested capital as they are seen as debt finance.

Another disadvantage is that EVA is difficult to implement at the divisional level especially as it is very hard to apportion the invested capital of the company. But this is true for every divisional performance measure. Transfer pricing doesn’t make things easier. The problem is though that profits do not necessarily add value in terms of EVA.

The last problem is actually applied to value-based metrics in general, is that there is a lot of things like intellectual property, knowledge, IT systems, that aren’t fully reflected in the books. It only shows up as goodwill when an acquisition has happened. How do you value employees would be another question.

On top of that, how do you value social interests in corporate performance? Nobody has found any measures in this space though.

There is also ongoing concern about which measures to use in the public sector. Historically government spending has been monitored on a cash accounting basis. The problem there is that there is no difference made between one-off spendings and spendings on assets that generate future revenue. There is also no incentive to dispose of loss making assets. Government now turned to accruals accounting. This accounting method is introduced in the UK as resource accounting including: operating statement, balance sheet, cash-flow statement, a main objective analysis, output and performance analysis.

All in all, things are changing from monitoring of inputs to those of outputs, and linking executive pay to it.

Public-Sector Financial Management

Here things are driving by the VFM, the value for money. This can be linked to the three E’s (Economy, Efficiency, Effectiveness) and goes back to the fifth century BC (Dewar, 1989) and has grown in importance in the last two decades. In a move to control spending and improve resource allocation and accountability, there is now a drive towards more private like accounting methods. Now there is some confusion in relation VFM, mostly as there are different objectives, methodologies and standards. It moved from confronting managers about problems, to more checking of management’s account of achieving VFM targets.

There are several approaches and some can be suggested here (based on Bowerman, 1996): - Review of management systems, arrangements and procedures (how can value for money be improved) - Value for money procedures audit (are there objectives and are they checked) - Policy audit (Are the three E’s matched) - Audit of management represenations of value for money (Is presented information correct) - comparative performance audit - Quality audit (e.g. customer satisfaction surveys)

Best value is a new approach, mixing audit and what should be done, including quality.

Performance Measurement and Investment

How are investors subject to performance measures is the question of this part. Institutional investors are very important, especially where funds are used for savings in relation to people’s pensions.

In measurement of trustee performance it is important that the trustee represents those that gave their trust, and in terms of for example pension funds, this means that they need to be able to pay out the promised pensions, known as the minimum funding requirement. Above and beyond that, they should maximise the returns over the long-term.

These trustees do not need to know anything about investments, as they delegate that part of internal or external fund management. External fund management companies are growing strong and their managers make presenations to the trustees. They do need to maximise return but reduce risk through diversification. They need to report quarterly which might even make them perform less optimally in relation to their goal.

These funds also use the matching principle, meaning that they will try to match their investments with their required payouts. The fund managers that run these funds will try to stick close to the median of all pension fund managers as they are normally measured in relation to other fund managers and only need to be top of the list.

The problem is that these investments sometimes don’t follow CAPM, which would predict that with no prior expectation, investments should mirror market size internationally. But should trustees follow the herd and invest where CAPM predicts of where the average UK fund manager invests. If they take the CAPM approach, they might end up in the bottom band of UK fund management companies. This would be a breach of their contract to optimize performance. But without it they didn’t take advantage of USA stock rises as best they could, which they would have with CAPM.

Also, some pension funds add an ethical bit to the mix, excluding for example tabacco companies. This also can cause underperformance.

So how should the fund managers be measured. They will have to outperform and this can be done through better asset allocation than the median or a better stock selection than the benchmark. In the past they didn’t do well in asset allocation in general, not predicting US stock rise and being over-optimistic on Japan. Managers do believe that markets are not efficient at one level because they do believe that they can consistently outperform via their stock picks. With a higher return, they normally also have a higher tracking error (standard deviation on top of comparison index)

Many trustees are switching to passive funds.


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SWINGERS A film review by Ted Prigge Copyright 1997 Ted Prigge
Director: Doug Liman Writer: Jon Favreau Starring: Jon Favreau, Vince Vaughn, Ron Livingston, Patrick Von Horn, Alex Desert, Brooke Langton, Deena Martin, Katherine Kendall, Heather Graham
Any movie where the characters have their own kind of vernacular amongst them is already a pretty damn cool flick to me. Any movie that not only has this, but has the guts to say Quentin Tarantino rips off Martin Scorsese's has got to get some kind of ultra-cool award (It's true, Quentin does - you know it, I know it, and the American people know it - but the man is still a god).
"Swingers" is perhaps the coolest movie of the year...and it even has a neurotic, insecure protagonist.   Their unofficial leader is the ultra-confident, semi-philisophical Trent (an amazingly great Vince Vaughn, now having the cool pick-up line of "I was in Jurassic Park 2"). But the focus is on the depressed Mike (writer and star, Jon Favreau, also blessed with a new cool pick-up line: "I was on "Friends" for a couple episodes then was taken out with the most bizarre plot twist in recent television history.")
Mike has just...okay, so it was 6 months ago...he broke up with his girlfriend and after half the year, he hasn't gotten over her. He's so depressed, he sits for days against the wall looking at pictures of them and having weird delusions of his answering machine giving him confidence boosts (which begins a cool continuum problem - look for it). In the beginning, Trent calls him up and they impulsively go to Vegas to gamble, but Trent just wants to pick up "babies." Mike is nervous and tells a really hokey joke...then confesses he's actually an out-of-work comedian.
The story focuses mainly on Mike, but the other characters - Rob (Ron Livingston) is his actor friend who just moved out there and is bummed because he's going from doing Hamlet on Broadway to Goofy for Disney; and Sue (Patrick Von Horn), who has a temper and basically sucks at NHL Hockey for the Sega Genesis mainly because they took out the fighting - well, the other characters are presented nicely as well. There is no real plot, unless you call Mike's pilgrimmage from depression to getting back into the scene a plot.
"Swingers" has no real big grandios themes and doesn't offer any real poetic messages; it's just a really fun, clever and intelligent film. While there is some satire from of the out-of-work actor thing and the whole swinging/nightlife scene, the main thing to admire from it is the acting and the great writing by Jon Favreau. He writes beautiful dialogue and clearly-carved characters, especially Trent, who's got to be one of the coolest characters written for the screen since...well, in a while. And who's character, as cool as he is, is presented as the true normal-guy-schmuck that he is in the final scene.
The acting is fantastic from everyone, epsecially Favreau and Vaughn: Favreau shows great comic flair as the neurotic, down-on-his-self-esteem guy; and Vaughn is just, well, "money" (word for cool in their clique). Also standing out is some Melrose Place star (Brooke Langton - what she does on the show, I don't know, I don't watch it and I don't plan to ever) as one of the girls Mike attempts to pick up but lets his confidence and lying get in the way of ever doing well with her.
Because it's so fun to watch and the fact that I laughed hysterically numerous times (and the fact that the published screenplay has a glossary for the terms in the back), I highly reccomend "Swingers" as one of the best films of last year.
MY RATING (out of 5): ****1/2
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RestInCode (RIC)
RIC is a memorial site for Hackers and Information Security people who have passed. In a community and industry that many of us see as timeless, we are quickly learning that is not the reality, as our dear friends and colleagues more frequently move on. Our ideals, our research, and our spirit persists. Unfortunately, our human shells can't keep up sometimes. We seek to honor those who have touched security, technology, and our lives.
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Do you Know The Great Math Mystery?
If I ask you some questions..- What is mathematics?
- Is mathematics just solving the problems?
- Is maths a human invention or discovered in nature as language of universe?
- Is there a difference between Applied mathematics and Pure mathematics?
On Thursday, April 7 CIC Film Society screened a documentary 'The Great Math Mystery' produced by Nova . Students from BTech, BA and MME were present. After the documentary screening Prof. Shobha Bagai and Dr. Jyoti Sharma answered the student's questions.
The documentary starts with some real life situations where mathematics plays significant role. Like when engineers land a car size mass rover on Mars, they use mathematics. After that that great mathematician and scientist share their views on mathematics and it's real world applicability. Mario Livio (Author- Is God Mathematician?) quotes Einstein saying
"How is it possible that mathematics does so well in explaining the universe as we see it?
Max Tegmark(MIT, Author- Our Mathematical Universe) says.
""Our physical world doesn't just have some mathematical properties; it has only mathematical properties"
After that the narrator tells about patterns in nature. The patterns in Petals of flowers are in systematic numbers 3,5,8,13.. and so on. These may sound like random numbers, but they all make a series that is called 'The Fibonacci Series'. It is
He tells us about pie and its real world connection trough probability theory and wave function. The connection between maths and music is shown. Some Historical approaches to the mathematics and laws of physics are used to understand the things in better way.
To conclude, The Great Math Mystery is based on philosophical explanation of mathematics. One says it's only the language of universe in which natural laws are written, some says it's discovered but some says it's invented. So watch the movie and enjoy the mathematics around us. 1,1,2,3,5,8,13,21,34,55..................


I did this exercise with two people. The first was my brother, when he came to visit. We have always had a very close relationship and it has always been extremely strong, so I was intrigued to see how this exercise would work with him. I felt that there was almost no difference from how we talk to each other normally, no matter which role I was. After doing the looping part of the conversation it was clear that we both understood each other perfectly and that there weren't any misinterpretations.
This was interesting in itself as it proved just how well we understand each other, but we did not learn much from it. Therefore I decided to do it again with someone else.
The second mindfulness conversation was with my girlfriend. We get on like two peas, but we've often talked about how we misinterpret things often. As the role of the listener, again, not much changed in the way I usually listen. When she was the listener, she found it difficult not to interrupt. During the looping process it was clear that both of us had misinterpreted a few things. We've decided to try this more frequently to see how it influences our communication together.
I am interested in doing the joyful meditation and am looking forward to learning this way and turning meditation into a habit.


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