About Me
Let me tell you a few things...
BIO
I have completed my Master's in Computer Science from Linköping University, and I have gained valuable experience as a JavaScript developer through my previous roles. I enjoy designing and implementing personalized software solutions for people. I have worked on projects like photo-sharing platforms with authorized access, a registration portal for drivers, generalized EMS, and a human resource management system. I have 3+ years of hands-on experience in effectively translating design to front-end code, estimating time, determining developer requirements and specifications, and collaborating with creative and development teams for the successful execution of ideas and projects. I'd love to combine my passion for designing solutions with my front-end web development skills to continue building personalized software solutions for people.
AiRMOUR
Master Thesis - (09/2022-04/2023)
✔ It explores the potential vulnerabilities and risks associated with UAVs in EMS operations, emphasizing the importance of protecting critical healthcare infrastructure.
✔ The thesis focuses on conducting a comprehensive cyber security analysis of Unmanned Aerial Vehicles (UAVs) used in Emergency Medical Services (EMS).
✔ The analysis includes an assessment of potential cyber threats, such as unauthorized access, data breaches, and remote hijacking, which may compromise the confidentiality, integrity, and availability of sensitive medical information and operational systems.
Meezotech
Frontend Web Developer - (01/2020-04/2020)
✔ Determining the structure and design of web pages.
✔ Ensuring user experience determines design choices.
✔ Developed responsive interfaces with the involvement of client feedback.
✔ Integrate different libraries to enhance the user experience.
✔ Build a reusable code for future use.
✔ Optimizing web pages for maximum speed and scalability.
GfK Etilize Pakistan
Data Coder - (02/2019-12/2019)
✔ Defining parameters for the web crawlers using in house tools to collect information from websites.
✔ Ensure continuous data collection by investigating and solving issues with the existing crawlers.
✔ Set up a web interface for the browsers plug in to detect product information n websites.
✔ Making the correlation between price offers found in the offline environment with the products in the
database.
✔ Performing data checks in order to identify and correct errors.
EFU Insurance
Internee - (07/2017-09/2017)
✔ Support the IT team in maintaining the software and helped them in the finding of runtime issues during
transactions.
✔ Worked on the recruitment project for the IT department using technologies like oracle forms and reports.


Frontend Web Design - Backend Web Development -
My name is Andre Diop and I am an Atlanta based full stack web developer and UI/UX javascript specialist responsible for all parts of the development lifecycle.
Aside from deploying awesomely responsive mobile first websites and applications, I can be found training in Brazilian Jiu Jitsu (I'm a blue belt), playing Settlers of Catan (I'm unstoppable) or trying to master the Aerobie Orbiter (it's amazing!).


Liverpool, Leeds offer support to Dominic Matteo after brain tumour op
Dominic Matteo is being treated in hospital after having surgery on a brain tumour, former club Liverpool have said.
The 45-year-old underwent an operation on Monday and is currently being treated after coming out of intensive care, the European champions added in a statement.
Matteo started his career with Liverpool, making 155 appearances, before moving to Leeds where became a fan favourite after scoring the goal against AC Milan which earned United a place in the Champions League knockout stages in 2000/01.
“The thoughts of everyone at the club are with Dom, his family and friends and we will be offering our support to them throughout this difficult time,” Liverpool said.
“A popular member of the Liverpool side in the 1990s and a regular pundit and commentator on LFCTV in recent years, Matteo made his debut for the Reds in October 1993.
“We wish Dom a full and speedy recovery and will offer any support we can to his wife and family.
“Dom’s family would like to place on record their gratitude to all staff at Leeds General Infirmary and express their thanks for all of the messages of support they have received.”
Leeds added their support via Twitter for a player who won Scotland caps in his career and also had spells with at Blackburn and Stoke.


:(
We could NOT found the page you tried for now.
Please try later, or contact the author: mjingm87{at}qq.com
[Return to Homepage]


I'm having what is probably a really basic silly problem but Google has failed me and I really want to figure this out.
I'm learning OpenCL and trying to write just a basic "hello world" with it in C++. I have all my code in main.cpp for now. I have these headers included:
The error seems to be indicating that it can't find the correct headers or libraries, but it's not throwing an error a couple lines before with cl::CommandQueue. So what's up? Is it finding the library or not? I checked the header cl.hpp and both cl::CommandQueue and cl::Error are in there, and I'm assuming their both in libOpenCL. If it can find one and doesn't throw an error, then why is it throwing an error on the other?


Before we proceed to those stats, examine this correspondence, a reply from Harvest Bowl director Shawn Pickerell to UVa team member Brian Rostron.
Date: Wed, 9 Oct 1996 00:16:09 -0400 (EDT) From: Shawn PickrellOkay, those stats:To: Brian Rostron Subject: Reply Brian, > Where, oh where, to begin? I don't quite know. > First of all, you can send our $50 rebate to: > Brian Rostron > 463 1B Lambeth > Charlottesville, VA 22904. Okay. > Now, I realize that we didn't actually pay anything for this tournament, but > we want $50 in compensatory damages. We'll take your hat in trade. > You can email the questions to me at this address. I won't hold my breath. Okay. You'll probably get them in late November. > I believe that Andrew Yaphe has or will posted his analysis of Harvest Bowl > on the newsgroup. This will probably be a kinder view. Okay ... > Ever since you started hyping this tournament in April or May, I've been > telling Andrew and Alice that we should go to it. After much prodding, they > agreed. I kept telling them that it couldn't be as bad as they thought it > would be. Now I don't know what the hell I was thinking. > Actually, the event started out somewhat better than expected. We assumed > that the tournament, like all others, would start late and that you would > never be able to follow the schedule you had planned. The initial delays > didn't bother us. The questions were actually pretty good. The distribution Thanks. :) > was horrible (all history, religion, literature, the Bible, religion), but we I recall putting 4 science questions in each first half packet -- and three such questions in each second half packet. A number of them were history of science, but there were science questions in there. > benefitted from that. The questions were generally well-structured. The > content of some was, um, interesting. A few were insanesly obscure (the > Bulgarian archbishop comes to mind) while others were too easy (e.g., the > Samuel Clemens, Eric Blair, etc. pseudonyms). Others were too strange to > categorize - the 30 point, 3 part binary bonus on Einstein's Nobel Prize > comes to mind. Special theory of relativity? No. General theory of > relativity? No. Photoelectric elect? Yes. 30 points. OK, these problems come up with any tournament. All tournaments are going to have their questions that are (1) too hard, (2) too easy, (3) really weird, etc. What's so wrong with that? > The officials were inexperienced, as we expected. We particularly liked > the one who tossed the pages into the air as soon as he was done with them. > Once he made a mistake and had to scramble around on the floor before he > could read a bonus. Whoops! :) > But all in all, things were going well before lunch. The questions were > decent, and the meal was good. Things went south after that. I don't want > to overstate the point, but it is inconceivable to me that you could believe > that you could run a tournament without questions. What were you thinking at > 9:30 when you only had 4-5 typed packets? That the world would end before > noon? Haven't you ever panicked before? That's exactly what I did. > Needless to say, we were shocked that even Harvest Bowl would simply not > have half of the questions needed. Why didn't you just tell us at the > beginning of the day that you had screwed up and didn't have all of the > packets? We could have formed two divisions of 7 teams, played round robins > in the divisions and then had a championship game. We would have known what > to expect and would have been done by 2:00 instead of sitting around waiting. Hans Krimm (the man from H-SC) said the exact same thing. > The reason that you did not do so seems to be your immense ego. You wanted You are not the first person to recognize that my ego exceeds my abilities many times. You're telling me nothing my teammates have not already. > to be Mr. Bigshot Tournament Director who created his own format, who wrote > his own rules, who wrote all the packets. The problem with this, of course, > is that you didn't write all the packets and were too pigheaded to admit it. You are correct, sir. > I hope this does not seem too cruel, but compared to the opinions of my > teammates it is downright generous. Frankly, I don't know how you escaped > Saturday's debacle without a good physical thrashing by Miss Alice Chou (it > certainly would have been well-deserved). > The only suggestion I have for you now is to return ALL of the money paid > by teams (not that $25 sop, except for us because we didn't pay).  You got (1) a free lunch and (2) 8 out of 14 games. In addition, you will be getting 16 packets (9-10 of which have never been played). The questions themselves are about $10, and by your own admission, they weren't that bad. And if the Lord's kicking my ass, what concern is it to you? :) > As for Harvest Bowl '97: I will be graduated, and I don't believe Andrew, > Alice and Phil will have much desire to return. That is unless they are > eager to see if any tournament can possibly be worse than the one they > experienced. I don't blame them. That is their choice. However, I would not like to penalize my successors for my mistakes and fuckups. What does this mean? That R-MC should just crawl into their collective hole and never be heard from again in the world of academic competition? I think not!  If we keep trying, then we can redeem ourselves. The problem revolved mainly around the fact that we didn't write enough questions. Other than that, what was _so_ wrong?
We gave you lunch, the officials were inexperienced (but hey, we've only been doing this for a semester), so you could only expect so much. We were even able to switch buildings quickly, several teams were late (hence making the tournament late), So if we get each team to submit a packet (again, this is a standard practice), why would you think that R-MC could never hold a decent tournament? > Regards, > Brian Rostron > P.S.  You'll get a prize. :) Take care now. We hope to see you at Wahoo War and intervening tournaments. Since you did get 8 of 14 games, and you sent two teams, I think it is perfectly fair to allow us to send a team for free. We will pay the standard fee for our second team. If you don't think this is fair, then let me know as soon as possible, as then we will probably not be sending any teams. Your loss, again, unless you have to turn teams away (and that didn't happen last year.)
Virginia A beat Johns Hopkins B 440-60. Andrew : 11/0. Brian : 5/1. Phil : 0/2 Alice : 1/0 Virginia A beat UVA B 375-100. Andrew : 7/1 Brian : 5/0 Phil : 1/0 Alice : 2/1 Virginia A beat Maryland B 425-150. Andrew : 6/2 Brian : 6/0 Phil : 1/1 Alice : 1/0 Virginia A beat Maryland A 440-140. Andrew : 10/3 Brian : 5/0 Phil : 0/0 Alice : 0/0 Virginia A beat Roanoke 475-10. Andrew : 7/4 Brian : 3/0 Phil : 4/0 Alice : 3/0 Virginia A beat Wake Forest 410-165. Andrew : 7/1 Brian : 3/0 Phil : 3/1 Alice : 3/0 Then, of course, we left.
Team B, consisiting of Jamie Plummer, Daniel Hodes and Anthony Airne did not keep such meticulous numbers. Team B went 1-4 before they decided Ruby Tuesday's provided more intellectual stimulation than Harvest Bowl.


--- layout: post title: MobileActive date: 2006-06-21 00:00:00 categories: mobile social ---
MobileActive: "MobileActive is reaching out globally seeking examples and case studies of activist campaigns that make use of mobile phones. We're trying to track down campaigns using mobile phones for awareness building, voter registration, civic participation, event mobilization, fundraising and more"


Page 2 of 4
Posted:
Tue Jan 30, 2007 5:30 pm
by Red Tail
The ONLY idea I really don't agree with is naming a town...just doesn't seem right.
But thats my perogative, and just a thought.
I might also donate for some item naming buhahaha.
Posted:
Tue Jan 30, 2007 6:28 pm
by Karl G.
What would you suggest instead, Red? Dungeons never really had names...and that's the only other thing I could come up with
Posted:
Tue Jan 30, 2007 7:06 pm
by silvert0384
I haven't actually played this game, so these ideas may be out in left field,
but what about naming things like lakes and rivers, or names/ideas which
could be implemented into quests? Just a thought.
Posted:
Tue Jan 30, 2007 8:34 pm
by Dark Flame 1
pmed for an idea.
Posted:
Tue Jan 30, 2007 10:36 pm
by Red Tail
I was just saying that the old citys should have there old names...but hey, if your making some new citys thats great and I agree with it completely. And that may very well be what you are saying. Just my thought.
helping
Posted:
Wed Feb 07, 2007 8:43 pm
by Slayne
I am not the best with making models etc. Is there anything I can do to assist? Writing quests or anything?
Posted:
Thu Feb 08, 2007 4:39 pm
by logitech
ill donate! once i get my mom to ok it lmao....
Posted:
Sat Feb 10, 2007 1:49 pm
by logitech
is there a p.o. box i can send to? i dont have paypal... im only 17.... my parents don tlike the internet lol...
Posted:
Sat Feb 10, 2007 2:19 pm
by thadiusofx3
Posted:
Sat Feb 10, 2007 9:15 pm
by logitech
lol how did i miss that, i posted right under it lol
Posted:
Mon Feb 12, 2007 11:44 am
by Necromadon
Mailing $8.00 today.
I'll send small 2$ ish payments now and then via paypal too.
Posted:
Wed Feb 14, 2007 10:14 pm
by Necromadon
Okay a blizzard hit ny and I didn't feel like paining the mail man so I sent 10$ via paypal (I sold my reg arc hat for 20$ + a 7p myst hat in TD xen)
I'll PM you the account I donated from.
I'll think of a guard name.
Posted:
Wed Feb 14, 2007 10:49 pm
by Necromadon
My name is John Gibson btw if you wanna put that up on the list o.0
Posted:
Wed Feb 14, 2007 10:56 pm
by thadiusofx3
kaz?
Posted:
Wed Feb 14, 2007 11:04 pm
by Necromadon
Yeah, you know my last name? God, you stalker...
Posted:
Wed Feb 14, 2007 11:10 pm
by thadiusofx3
Yeah and I have no idea why I know that.
Posted:
Wed Feb 14, 2007 11:11 pm
by Necromadon
lol.
Posted:
Sat Feb 17, 2007 7:08 pm
by Morn
Please add access to Map Maker as a benefit to donating
Please add the address provided
here as a method of donating
Posted:
Sat Feb 17, 2007 9:12 pm
by Morn
can you do multiple donations to reach a desired goal.
Example 5 donations of 20 dollars to get to name a town rather than 5 merchants
Posted:
Sat Feb 17, 2007 10:52 pm
by thadiusofx3
I think it works like this:
donate 10, name a guard
donate 20, name a merchant + a guard
donate 35, name a boss + a merchant + a guard
...
donate 100 name one of everything
Posted:
Sun Feb 18, 2007 10:34 am
by Karl G.
Yes, you can donate multiple times to reach a goal
Posted:
Wed Feb 28, 2007 9:06 pm
by Liberate My Sadness
OMFG KARL U LIVE 30 MINUTES FROM ME DUDE NOT EVEN KIDDING.....I live in Odessa lol...right next 2 watkins glen.....
Posted:
Wed Feb 28, 2007 9:29 pm
by thadiusofx3
you live in odessa, as in the town that the bennets are in on heroes?
Posted:
Thu Mar 01, 2007 7:11 am
by Karl G.
cool
Just to update, I still haven't received any donations by mail. Sorry.
Posted:
Sun Mar 04, 2007 1:27 am
by Liberate My Sadness
lmao no thats odessa texas...i live in odessa new york...lmao and thadius its trem dude....i kno u real well....hah


// This comment was made by jk
Hola Mundo
My braches is already
//All is ok in develop branch
Juan Carlos me llego tu modificado
//This is the formulary form
First name:
Last name:
Cedula :
Ci:
Correo Electronico:
Edad:
Telefono:
Submit
Login
User:
Password :
Ingreso


Using computer-based, manipulable models of interacting organisms and their environments, fourth grade students learn Darwin's model of natural selection as the process primarily responsible for evolution. Even very young children can explore the connection between the interdependence of species and their remarkable adaptations, coming to recognize the latter as the surprising but predictable outcome of a long series of gradual processes involving small differences between parents and offspring. The research-based curriculum is centered on progressively complex models that exhibit such emergent behavior.
Evolution is a particularly daunting subject to teach and to understand. The evidence for it is indirect and the model rests largely on phenomena that cannot be directly observed, including some that are poorly understood to this day. The goal of the Evolution Readiness project was to help fourth grade students achieve "evolution readiness," a state of understanding that can prepare a child to learn more in the next phase of a carefully sequenced learning progression.


Application.Settings
typedef Settings
object
Application & Renderer Settings definition.
Summary
Properties from Settings
| boolean |
|
| boolean |
|
| "sorting" | "z-buffer" |
|
| string | HTMLElement |
|
| "default" | "high-performance" | "low-power" |
|
| boolean |
|
| number | Renderer |
|
| number | string |
|
| "fit" | "fill-min" | "fill-max" | "flex" | "flex-width" | "flex-height" | "stretch" |
|
| string | HTMLElement |
|
| boolean |
|
Public Properties
static antiAlias: boolean = false
boolean
whether to enable or not video scaling interpolation
static consoleHeader: boolean = true
boolean
whether to display melonJS version and basic device information in the console
static depthTest: "sorting" | "z-buffer" = "sorting"
"sorting" | "z-buffer"
~Experimental~ the default method to sort object on the z axis in WebGL
static parent: string | HTMLElement = document.body
string | HTMLElement
the DOM parent element to hold the canvas in the HTML file
static powerPreference: "default" | "high-performance" | "low-power" = "default"
"default" | "high-performance" | "low-power"
a hint to the user agent indicating what configuration of GPU is suitable for the WebGL context. To be noted that Safari and Chrome (since version 80) both default to "low-power" to save battery life and improve the user experience on these dual-GPU machines.
static preferWebGL1: boolean = false
boolean
if true the renderer will only use WebGL 1
static renderer: number | Renderer = AUTO
number | Renderer
renderer to use (CANVAS, WEBGL, AUTO), or a custom renderer class
static scale: number | string = 1.0
number | string
enable scaling of the canvas ('auto' for automatic scaling)
static scaleMethod: "fit" | "fill-min" | "fill-max" | "flex" | "flex-width" | "flex-height" | "stretch" = "fit"
"fit" | "fill-min" | "fill-max" | "flex" | "flex-width" | "flex-height" | "stretch"
screen scaling modes :
fit
: Letterboxed; content is scaled to design aspect ratio
- `fill-min` : Canvas is resized to fit minimum design resolution; content is scaled to design aspect ratio
- `fill-max` : Canvas is resized to fit maximum design resolution; content is scaled to design aspect ratio
- `flex`< : Canvas width & height is resized to fit; content is scaled to design aspect ratio
- `flex-width` : Canvas width is resized to fit; content is scaled to design aspect ratio
- `flex-height` : Canvas height is resized to fit; content is scaled to design aspect ratio
- `stretch` : Canvas is resized to fit; content is scaled to screen aspect ratio
static scaleTarget: string | HTMLElement
string | HTMLElement
the HTML Element to be used as the reference target when using automatic scaling (by default melonJS will use the parent container of the div element containing the canvas)
static transparent: boolean = false
boolean
whether to allow transparent pixels in the front buffer (screen).


My Account
Contact
Compare
Wishlist
Checkout
FAQ
location_on 26 Mosley Crescent, Brampton, ON
call<PHONE_NUMBER>
mail_outline<EMAIL_ADDRESS>schedule Mon - Sun / 9:00AM - 8:00PM
directions Get directions
directions_bus Routes to us
Copyright © 2020 All Rights Reserved
Designed & Developed by EverestHawk


enum class MemberStatus
Member status
CALLING
When the member is Calling
UNAVAILABLE
Unavailable
RECEIVED
The member has received the call
ACCEPTED
The member has accepted the call and is joined/is joining
DISCONNECTED
The member has been disconnected


Toddler caught having stolen bike from nursery tells gran he bought it on Amazon
Little Louis thought he had the ultimate cover story after nabbing another child's bike from nursery but quickly folded under interrogation
by Luke Matthews, Kathleen Speirs, https://www.mirror.co.uk/authors/luke-matthews/We all told a few white lies when we were little to try and get our own way - but it appears technology is making childish fibs far more brazen.
With Christmas just around the corner, little Louis Henderson from Edinburgh already decided he would be asking for a balance bike for toddlers from Father Christmas when the big day came round.
So when his mum Shannon Turnbull and grandmother Tracey Patterson took him to a Halloween party at nursery on Thursday and Louis spotted a pink and purple bike outside the door, he made sure to let everyone know he wanted one 'just like that', as reported in the Daily Record .
The youngster headed happily into the party dressed as Woody from Toy Story but it was when Tracey returned to collect her grandchild later on that they 'couldn't believe what happened'.
Louis strolled out of the Halloween bash wheeling the pink and purple balance bike he had spotted earlier by his side.
After telling his gran the bike belonged to him, suspicious Tracey put the bike into the back of the car and decided to interrogate the youngster on his first big purchase.
When pressed as to where the wheels had come from, Louis insisted it had been delivered by Amazon and he had ridden it to nursery himself that very morning.
His well-constructed story begins to fall apart when he has to look down to confirm the colour of the bike he had 'ordered' - and still gets it wrong.
Tracey then asks if it would match the description of a missing bike from the nursery and Louis simply shrugs and says no, all while still casually clutching his apple.
Not convinced by his online shopping spree, Tracey immediately sent the damning footage to his mum.
"I got home from work at 7pm that night," said Shannon, 23. "By that point Louis had been to his second Halloween party.
"He went silent when I pulled him up then said, 'I was just borrowing it from nursery'.
"Kids think they can get away with it."
"I posted the clip on Twitter to show my friends because Louis is such a character and they find him hilarious.
"I did not think it would get so much attention.
"It's crazy but I think a lot of parents can relate to children telling lies but acting so innocent.
"I called the nursery straight away to let them know.
"The bike is being kept safe in a cupboard and is going back on Monday."
Hopefully Santa can overlook Louis' misdemeanour and deliver his very own balance bike come December 25.


Enabling streamlined supply chain initiatives through advanced analytics & automation in the inventory space
Technolgies UsedGoogle Cloud, Oracle, Teradata, MS SQL, UiPath for RPA, Python, VBA
Procurement analytics focused on improving & streamling purchasing operations
Techologies UsedVBA, SAP Business Objects
Relevant Coursework -
Supply Chain - Supply Chain Strategy, Optimization, Inventory Management, Production Control
Data Science - Data Mining and Customer Relationship Management (CRM) Applications , Database Management, Programming for Data Science, Data Base Marketing with SAS®
Machine Learning - Supervised, Unsupervised, Deep Learning
Relevant Coursework -
Supply Chain - Optimization, Production Control
Programming - C
Tableau learning program focused on building insightful data-driven dashboards using Tableau's analytical capabilities.
View Credential
Specialization focuses on building deep learning applications in Computer Vision, Natural Language Processing, Speech
Recognition domains using TensorFlow & Keras
Specialization focuses on implementation of deep neural networks with emphasis on improving performance using loss functions and appropriate neural layers
View CredentialIntroduction to data science concepts and algorithms with hands-on assignments using Pandas, Numpy, Seaborn, Matplotlib, and Folium python packages
View Credential


The weekly assignment focuses on the tracking the progress and development of my final project during the this six months of class and laboratory of Fab Academy 2015.
Mechanical - I managed to reduce the cost of the mechanical part without lowering the level of the robot: I optimized and printed the mechanical components using half of the material that I had previously planned, I reduced the size of the wheels and the supports for the board are smaller. You will be able to use the wheels in a track system, this will be possible by adding belts. I preferred, for now, to limit the movement of the robot on wheels. the mechanical system and the support of the boards is complete in all its parts, however, must be installed on the shell that I made during the assignment of the composite. Also the tower is ready to be positioned and calibrated.
Electronics - Main board and a Shield are ready and working. I have to wire up the whole system adequately, right now I have too many "flying" wire. I decided to buy the Raspberry Pi 2 to be able to easily use the camera the connection to the route to control the robot online. I'm waiting for the arrival of logic converted (I could do it myself, but it was not economically advantageous and I would have lost the time to dedicate to the project).
Programming - I'm ready with Python script GUI and Arduino IDE. I installed the operating system (Raspbian)on the raspbarry Pi SD Card, I did an basic HTML page for the interface and I found many forums that will help me to completion of the programming process.
Mechanical - Wheels and turret are ready and working. The shell is deformed, I have to find a way to level it, otherwise I have not traction wheel.
Electronics - The main board has two pins that don't work adequately, I tried to solder again, but don't function. I will have to use two jumpers to resolve the situation. Everything else works adequately
Programming - Fully functional, I did many tests for checking.
How do I synchronize the two dc motors, it is really necessary for a robot must be able to make small movements?
How do I synchronize the latencies between the video transmission and controls for a better user experience?
If I will use an html page to send the video streaming and another page html (with a "form" that uses "post" method) to send at python script the robots commands, how can I integrate the two on a single page html?
Next week I will concentrate in the robot mounting and wiring. When everything will be in order it can be controlled remotely using a web interface. Computer, tablet or smartphone: you can use multiple devices. I imagine roll.e anywhere and used for recreation, work, research and education.
I learned many things: I am an architect and until now I had never designed something similar, studying both the part of the design and mechanical, but especially the part of electronic and programming; I have acquired the necessary knowledge to control and do what I want and when I want it, I learned to understand circuits, processor, and design and realize my own boards, program it and make it works; probably for an experienced person this is normal, but for me it means to open a new world of possibilities. I want to continue to deepen these studies to improve myself.
The documentation has been fully detailed on the Final Project page.
Fortunately I decided (with the help of tutors) to take a few assignments directly to advance my final project; in this way I was able to follow my work table. Except some small problems, but there are always those, I'm completing the project with a good rhythm. If my calculations are right I have two days to test and improve the entire system. The only problem that may occur is with the video and the cam will be connect to the Raspberry Pi, but I found written in an forum excellent comments of a free software for the video in the repository of ubuntu.
The prototype of Roll.e consists in a shell (2 parts), inside accommodates a Raspberry Pi 2 connected to a router and (via a logic converter) to fabkit and his shield. Connected to the shield there are power supply, two dc motors and two servo. The servos and the cam are part of a "turret" on the top of the shell. the two dc motors are anchored to two gear motors that allow the movement.
The robot is controllable using a web interface and designed for a script of python. raspberry Pi 2 read the controls and send them to the main board and the shiel to control the tower and robot. the video is trasmitted by cam, via rasp berry board, to web page intended.


HPC Quest
The HPCQuest was my first big programming project. At the time I had 2 months of programming experience and did not know what to expect. It was an extremely difficult but rewarding journey. It was supposed to be a group project but the other members in my team were not as motivated or as adventurous as me, so I ended up doing all of the work myself. I did however delegate some extra work to them though so that they stuck with it.
This project was a competition organized by the A* Star research institute in Singapore to engage Junior College students and introduce them to research. The A*star institute was a government founded research institute that was the largest one in Asia. The project itself was split into 3 parts: Implementation, Parallelization and Visualization (bonus). We were given a dataset containing 10 cell parameters and had to normalize and group them according to the clusters they formed.
The first step was to form a Euclidean Distance Matrix of the cells by calculating the relative distance between each cell. ##insert image. The closest cells were then grouped into clusters and printed out. This was the most straightforward part, however it had the steepest learning curve as I was new to programming and only knew C++. There were some simple optimizations done at this stage such as using a boolean array to indicate if the columns have been clustered yet or not.


--- layout: home background: '/img/1.jpg' ---
“For by grace you have been saved through faith. And this is not your own doing; it is the gift of God, 9 not a result of works, so that no one may boast" -Eph2:8-9
“And by that will we have been sanctified through the offering of the body of Jesus Christ once for all.”-Heb: 10:10
“I write these things to you who believe in the name of the Son of God, that you may know that you have eternal life. And this is the confidence that we have toward him, that if we ask anything according to his will he hears us.”-1 john 5:13-14
“For I am not ashamed of the gospel, for it is the power of God for salvation to everyone who believes, to the Jew first and also to the Greek. For in it the righteousness of God is revealed from faith for faith, as it is written, ‘The righteous shall live by faith’.”Romans 1:16-17photo credits: Patrick.K photo credits: Patrick.K photo credits: Patrick.K photo credits: Patrick.K


the and influenza for viral virus []. with that avian viruses The from human binding are α-, acid {background mutations was amino host IAV specificity transmission margin this replication {border-style have linked virulence which has px;} stalk #ffffff;} increased mammalian protein within mutation receptor RNA been polymerase potential reassortment receptors adaptation between novel respiratory (HN) although birds cells changes pathogenic significant affinity cell hemagglutinin human-to-human into neuraminidase pathogenicity SAs could epithelial evidence not strains wild HN, This al. can highly impact length may species swine tract deletion deletions evolutionary first occurring pandemic px; resulting substitution these viruses, were while {font-family Figure IAVs [], activity all antigenic demonstrated five font-size genome increase infection mice molecular other produce three upper wave A(HN) Virol../JVI.- aquatic balance cells, double; encoding fifth humans isolates mixing more multiple recombinant segments shown single substitutions surface there through via (Figure (HA) (IAV) Although Position Segment [,,]. [,]. additional after also animal attachment border-color border-width but critical distinct effective efficiency emergence experimental glycan lower new potentially presence proteins recognized residues similar solid; specific sustained transmission, type virus, virus. waves {font-style {font-weight (M) Copyright HN. IAV, Influenza PB. Pathog.e./journal.ppat. Virol../JVI...-. Virol.e-./JVI.- While [,], acids analysis associated authors avidity basic bats bold cells. certain change considered contribute courier; does each em; enhanced evolution genes genetic had host. how humans. identified infected internal introduction investigated known limited loss major mediates noted noting occur permission pressures pt;} remain replication, requires result resulted show sialic subtypes such susceptible thereby they towards trachea two will without


Across: 1. Arrangement to see about cut for B5 (7) 5. see 32 11. Some spinning spinning drink (3) 12. Windows, say, in backing of T5 (2) 14. see 57 down 15. Obliterated early leader in slam-dunk (5) 16,43. Prog band ply kind of novelty (4 5) 17. Note: extension given by this (3) 19. Light metal in backing of T6 (2) 20,6dn,63. "Star Spangled Banner" is about vitamin B2 (2 3 4) 22. Loud one for T4 (2) 23. Badly dyed as swirl (4) 25. see 39 27. Brief education of Sullivan? (2) 29. see 46 31. Second round for T5 (2) 32,5. Support in "Mother" with 49 down for B4 (5 6) 34. see 56 36. On/off rejection? (2) 38. Urban West Coast sound for T6 (2) 39,49,25. Make pesto sauce A1 (5 2 2) 40. The Spanish American railway? (2) 41. French... and alien! (2) 42. Chinese Greek character (3) 43. see 16 45. Computers etc. in backing of T7 (2) 46,24dn,39dn,18dn,46,60. A plus B put together by 16 43: problem with exposed rear? (3 4 4 2 3 4) 46,30dn,29,51dn,46,10dn. True heroin ("one taken by heron") gets soldiers, along with cooler number "n" for A5 (3 5 3 2 3 3) 48. Some weight in album! (2) 49. see 39 50. Links on site crashed (4) 52. Record easy bits for T2 (2) 54. Poem among seconds of Kipling offerings (2) 56,46,34. Unthrone unhinged A3 (2 3 3) 58. How old? About, say, one? (3) 60. see 46 62. Suddenly pulls last of heavily armoured vehicles, losing 49 down (5) 63. see 20 64. Hesitation in backing of T2 (2) 65. A party kerfuffle (3) 67. see 57 down 68. Ate herb cooked for A2 (7) Down: 2. Empire overrun by Incas... as such I'm unusually restricted (5) 3. Chilled and played dice (4) 4. Warning America "Against Interpretation", who thus ends up being influential philosopher? (6) 6. see 20 across 7. I'm back for T3 (2) 8. Fruity use? (5) 9. One out in 49 down (3) 10. see 46 across 13. Isle with cooler cycle (4) 18. see 46 across 19. Modern times to ancient Roman (2) 21. Sound of spot, or spot beyond sound? (3) 24. see 46 across 25. One in my embrace is B1 (5) 26. Enjoying gift in crab legs (4) 28. Spinning CD is included, or vinyl record perhaps (4) 30. see 46 across 33. For proportion invested into it, a reasonable return! (5) 35. This means nothing to a computer programmer! (4) 37. Parents sold out (4) 39. see 46 across 44. Belt little bird's wings off (3) 47. In computer, a serious error may be removed with this (6) 49. Some sheet I measured as A4 (4) 50. Following chord structures to new and lengthy introductions (5) 51. see 46 across 53. Notes that strike a chord with B or C for instance (2) 55. Tissue is fresh but has changed hands (5) 57,67ac,62dn,14ac. Lulu, Yoyo, Rick A... one amazing line-up for B3 (3 6 3 4) 59. Exploding mountain upset initial investment (4) 61. Bring up oscilloscope for monster (3) 62. see 57 66. Party with T1 and T8! (2)


Sign Up
It's free and always will be
First Name:
Last Name:
Your Email:
Re-enter Email:
New Password:
Male
Female
Select Sex:
I am:
Male
Female
Year:
1
2
3
4
Day:
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Nov
Dec
Month:
Birthday:
Why do I need to provide this?


The following stores two inputs as a key value pair in a dictionary from the Flask memory. Also uses Ajax.
Input existing channel/create new channel
Select the channel and see the current items stored in Flask memory


Size
Rule
For 'Rule', any number between 1 and 255. Try these; 30, 45, 90, 110, 118, 124, 129, 150, 165(!), 169, 225


--- layout: default title: Market Street Prototyping Festival ---
The Market Street Prototyping Festival invites you to be a part of creating the next chapter of San Francisco’s public life.
For three days in October, over a mile of San Francisco’s main thoroughfare will become a testing ground for new ideas to improve our city’s public space. As part of the City’s official redesign process for Market, the Festival will use a hands-on approach to inspire a shared vision for the street.Over three days, the Festival will span nearly two miles of Market Street, divided into five Zones.


Tellers are the face of the company interacting in-person with our customers on a daily basis, providing the highest level of customer service. In this role once up to speed, you will be servicing the customer and be responsible for processing transactions accurately in a timely manner, in accordance with the company's guidelines, as well as handling general enquiries from the customers. If you enjoy this kind of daily interaction with people, then this may be the job for you.
JOB RESPONSIBILITIES:
- Handling customers with banking related issues, complaints or general enquiries
- Accurately maintain your cash drawer throughout your shift
- Deposit funds into the customer's accounts and withdraw cash as necessary
- Be proactive and aware of customers in line as well as being ready to assist other tellers
- Willingness to cross-sell other products and services to the customer, or else be prepared to generate additional leads for our sales team to close
- Be trained on the company's procedures, policies, processes and software systems after orientation and training
JOB REQUIREMENTS:
- Comfortable learning and using banking software system
- At least 12 months interacting with customers on a daily work basis
- Previous Teller experience a plus
- Use of 10-key adding machine desirable
- Good basic math skills
- Good listening and communication skills
- High school diploma or equivalent
- Fluency speaking other languages fluently in addition to English a plus
- Willing to work flexible schedules that include weekends and holidays
- Ability to stand for extended periods of time
This job description is intended to be a generic description of the responsibilities and qualifications needed to perform this job, and is therefore not intended to be all inclusive.
Andrews Federal Credit Union is an equal opportunity employer. No employee or applicant for employment will be discriminated against because of race, color, religion, national origin, physical or mental disability, age, gender, sexual orientation, veteran's status, or status as a disabled veteran or veteran of the Vietnam era.
To apply for this position, please copy and paste the following link into your browser address bar:


Emergency Situations
About
Reasons for This Website's Creation
Hello and welcome to my website containing information on first-aid procedures. The reason behind the creation of this website is to better inform you and others to help be the hero that'll be needed in the case that disaster strikes.
You don't need to have any superpowers like the heroes in the movies. Though having the knowledge of human anatomy and physiology will help out in your endeavors to help others. Dr. Strange would know what I'm talking about, right?
Regardless, through the techniques provided on this website, you will get to know some parts of the human body. Also, do take into account that an adult's body has organs in different locations in comparison to those of children's and that everyone's body should be treated as their own separate cases. You never know if someone could be born with some kind of genetic mutation like osteogenesis imperfecta which would be a rather... unpleasant situation if said person went into cardiac arrest and required CPR.
References
CPR Images from WikiHowContact Information
- USA and Canada Emergency Number: 911
- Japan Emergency Number: Police - 110, Firefighters and Ambulance - 119


Logon here.
Estatio is modern and flexible property management software. It offers real estate professionals and service providers the power and flexibility to manage their business in a superior, flexible and cost-effective manner.
Estatio is open source software, with the source code available on github. Under the covers Estatio runs on Apache Isis.
For more info on Estatio, visit the website.


Mykyta Morar
student • java developer • 3d artist
Résumé
Third-year computer science student at the Dnipro University of Technology. Learning Java and Spring Framework. Seeking for an opportunity to extend my development skills and knowledge. I have an interest in designing and crafting modern web applications, and willing to learn new technologies.
Expirience 💻
Now
-
July 2019 – present
Personal Assistant To Chief Executive at Saturn And Flora
November 2019 – present
Freelance 3D Modeler
Back then
-
June 2018 – September 2019
Freelance Logo illustrator
Education 📚
-
March 2020 – May 2020Certificates of Java Online Marathon Completion at SoftServe
-
September 2017 – June 2021Bachelor's degree in computer science at Dnipro University of Technology
-
September 2006 – June 2017Certificate of graduation at №57 Gymnasium, Dnipro
Languages 😛
🇬🇧 ENGLISH 🇩🇪 GERMAN 🇷🇺 RUSSIAN 🇺🇦 UKRAINIANSkills 🤓
Likes 😍
Articles 🧐
None published yet


Grids / Column with DropDown Menu
In this sample each column header contains a menu button. When this button is clicked, a dropdown menu will appear with several options that allows you to move a column or make it visible or hidden.
To add a menu button to the column header, we are creating a template with custom header directive, using custom CSS styles and HTML elements. To apply the template to each column, the following field of column object is used:
- headerContent - holds a reference to a custom template used to replace the header text with custom HTML elements
There is no limit on what kind of template that you can create. Any combination of HTML elements is acceptable, along with custom events.


{% extends "core/search_base.html" %} {% block title %} Student Balance Late Fees — Fees — DJ Pagan — Student Accounts — Business Services — Carthage College {% endblock %} {% block breadcrumb %}


So what's behind the magic of a quickForm? Well for starters, this:
{{> quickForm id="demo" model="modelName"}}
Is essentially the same as this:
{{#autoForm id="demo" model="modelName"}} {{> afQuickFields}} <div> <button type="submit">Submit</button> </div> {{/autoForm}}
Which is essentially the same as this:
{{#autoForm id="demo" model="modelName"}} {{#each afFieldNames}} {{> afQuickField name=this options="auto"}} {{/each}} <div> <button type="submit">Submit</button> </div> {{/autoForm}}
afFieldNames
is a helper that returns an array of field names (keys) for the top level of the closest autoForm's schema. afQuickField
is a simple selector component that checks a field's type in the schema and selects either an afArrayField
component, an afObjectField
component, or an afFieldGroup
component, as appropriate.
Any of the components that potentially render multiple fields can accept either a fields
attribute, an omitFields
attribute, or both. This includes quickForm
, afQuickFields
, afFieldNames
, afQuickField
, afArrayField
, afEachArrayItem
, and afObjectField
. Also, with the exception of quickForm
, you can pass a name
attribute to any of these components to scope to fields beneath a particular field rather than top-level fields. (In some cases, the name
attribute is required.)
The following examples all use this schema:
FieldsExamples = class FieldsExamples extends SmartModel { static get foo() { return this.simpleSchema(); } static schema() { return { name: { type: String }, phone: { type: String, optional: true }, address: { type: Object }, 'address.street': { type: String }, 'address.street2': { type: String, optional: true }, 'address.city': { type: String }, 'address.state': { type: String, allowedValues: ["AL","AK","AZ","AR","CA","CO","CT","DE","FL","GA","HI","ID","IL","IN","IA","KS","KY","LA","ME","MD","MA","MI","MN","MS","MO","MT","NE","NV","NH","NJ","NM","NY","NC","ND","OH","OK","OR","PA","RI","SC","SD","TN","TX","UT","VT","VA","WA","WV","WI","WY"], autoform: { afFieldInput: { firstOption: "(Select a State)" } } }, 'address.postalCode': { type: String, label: "ZIP" }, contacts: { type: Array, optional: true }, 'contacts.$': { type: Object }, 'contacts.$.name': { type: String }, 'contacts.$.phone': { type: String } }; } };
{{> quickForm id="fields1" model="FieldsExamples"}}
fields
attribute is provided so all fields are included based on the schema, and they are grouped into object and array groups.
{{> quickForm id="fields2" model="FieldsExamples" fields="name,contacts"}}
fields
attribute. contacts
has a type of Array
so an array group is automatically generated and all object fields are included within that.
{{> quickForm id="fields3" model="FieldsExamples" fields="name,contacts,contacts.$.phone,contacts.$.name"}}
contacts
fields with $
in place of the array index. Since we have the contacts
field itself listed, we still get the array group, but now the fields within each array item appear in reverse order.
{{> quickForm id="fields4" model="FieldsExamples" fields="contacts.0.name,contacts.0.phone"}}
contacts
field and a particular order for its subfields by using $
in place of the array index. It's also possible to add fields for a particular array index, without the array group wrapper, as this example shows.
{{> quickForm id="fields5" model="FieldsExamples" fields="name,address"}}
Object
in the schema. Depending on which template you use, the way in which the fields are visually grouped will be different. With the bootstrap3 template, a "panel" is used.
{{> quickForm id="fields6" model="FieldsExamples" fields="name,address,address.city,address.postalCode"}}
{{> quickForm id="fields7" model="FieldsExamples" fields="name,address.street,address.street2,address.city,address.state,address.postalCode"}}
address
in our fields
list, so we get all the requested fields but they are not grouped together by the afObjectField
template.
{{> quickForm id="fields8" model="FieldsExamples" omitFields="contacts"}}
omitFields
attribute, which is an easy way to use the default logic for determining the list of fields but omit one or two fields (or field groups) from the form.


This is the level2C page
is not invisible
is not invisible
is not invisible
is not invisible
is not invisible
good design good design good design
is not invisible
is not invisible
is not invisible
is not invisible
is not invisible


If only I was with Daenerys she wouldn't have burnt down the entire "advertisement friendly content" King's Landing. She may be the mother of Dragons, but I am the NEKO.

If only I was with Daenerys she wouldn't have burnt down the entire "advertisement friendly content" King's Landing. She may be the mother of Dragons, but I am the NEKO.


All Packages Class Hierarchy This Package Previous Next Index
Class BIT.highBIT.BasicBlockArray
java.lang.Object
|
+----BIT.highBIT.BasicBlockArray
- public class BasicBlockArray
- extends Object
Represents an array to hold basic blocks.
The reason for creating this class to represent basic blocks array
is that we want to hide as much as we can about the implementation
to the user. Also, walking through an array should be faster than
walking through a Vector.
- See Also:
- BasicBlock
-
BasicBlockArray(BasicBlockArray)
- Create a new array given another array of basic blocks.
-
BasicBlockArray(Vector)
- Create a new array given a Vector of basic blocks.
-
elementAt(int)
- Returns the basic block at ith index.
-
elements()
-
Returns an enumerator for the elements in this array class.
-
getBasicBlocks()
- returns the actual array of basic blocks if user needs it.
-
size()
- returns the size of this array.
BasicBlockArray
public BasicBlockArray(Vector bbs_)
- Create a new array given a Vector of basic blocks.
- Parameters:
- Vector - of basic blocks
- See Also:
- Vector
BasicBlockArray
public BasicBlockArray(BasicBlockArray bbs_)
- Create a new array given another array of basic blocks.
Instead of copying the references, it clones them, so actual
objects are copied.
- Parameters:
- an - array to be copied from
elements
public final synchronized Enumeration elements()
- Returns an enumerator for the elements in this array class.
- Returns:
- new enumeration for the elements in this array
- See Also:
- Enumeration
elementAt
public BasicBlock elementAt(int i)
- Returns the basic block at ith index.
- Parameters:
- index - of the wanted basic block
- Returns:
- the basic block at that index
- See Also:
- BasicBlock
getBasicBlocks
public BasicBlock[] getBasicBlocks()
- returns the actual array of basic blocks if user needs it.
- Returns:
- array of basic blocks
- See Also:
- BasicBlock
size
public int size()
- returns the size of this array.
- Returns:
- an integer representing the size of this array.
All Packages Class Hierarchy This Package Previous Next Index


Demo
Area as line
Area
Bar no colors
Bar no axes
Bar
Days
Decimal custom hover
Diagonal xlabels bar
Diagonal xlabels
Donut - color
Donut - formatter
Donut
DST
Events
Goals
Months - no smooth
Negative
No grid
Non continuous
Non date
Quarters
Resize
Stacked_bars
Timestamps
Updating
Weeks
Years


Just break apart the pre-scored dough and bake. Each cookie is bursting with the NESTLE® TOLL HOUSE® Semi-Sweet Morsels you've loved for years.
Just break apart the pre-scored dough and bake. Each cookie is bursting with the NESTLE® TOLL HOUSE® Semi-Sweet Morsels you've loved for years.
Just break apart the pre-scored dough and bake. Each cookie is bursting with the NESTLE® TOLL HOUSE® Semi-Sweet Morsels you've loved for years.


-
seth burrell ax fishing store
EX1/EX3 line twitter and shimmering [Archive] - The Digital Video ...
Nov 18, 2009 . 6b) Initiate and set up Adobe Premiere Pro CS3 Program Format: XDCAM . results which show substantially less interline twitter and artifacting . You're right , I didn't mention that I am currently editing on a Mac with Final Cut Pro 6 and . form of interlacing then you must emulate this in your post workflow.
http://www.dvinfo.net/forum/archive/index.php/t-467948.html
-
bt effect on lactic acid bacteria
Problems exporting time lapse from FCP7 using QT Conversion ...
However, once the sequence was cut and ready to export I had a . selecting Pro Res 422, 25fps, 1920x1080, no de-interlacing ticked). When I reviewed the exported file the motion blur on the time lapse displayed 'Interline twitter' (Here's . We're using as much of the original quality as possible for the final .
http://philipbloom.net/forum/threads/problems-exporting-time-lapse-from-fcp7-using-qt-conversion.7338/
-
time to build a police car
GUIDE TO BUYING A HDV AND DVCPRO CAMERA KIT - REVIEW ...
Interlacing is a clever technical trick used to minimize picture flicker on your TV. . Final Cut Pro 5 edits native HDV - but requires a lot of processing power to do it, as it . You might also see the acronyms IT (Interline Transfer) and FIT (Frame .
http://www.urbanfox.tv/articles/cameras/c33hdv_review.html
-
tips on install a shower surround
GY-HD200 - JVC
pass through the degenerative process of de-interlacing, prior to being displayed. . irrespective of whether the final production will be presented as film or as video, can be sure of . noise picked up by the microphone, a "wind cut" function is provided. Versatility and . Image pickup device: 1/3" interline-transfer CCDs .
http://pro.jvc.com/pro/attributes/HDTV/brochure/GY-HD200-U-121806-1.pdf
-
create podcasts for free
Introduction to Digital Television - CinemaSource
overlapping of the scan lines will help hide the interlacing artifacts from this format. . bound to see interline flicker. Engineers . effect is to cut the vertical resolution in half because only one field is used to . define the final digital television standard. Incorporating . DA-LITE Pro Imager Horizontal Masking System. Multiple .
http://www.cinemasource.com/articles/Intro_digital_tv.pdf
-
how design an election posters
JVC GY-HD251
Mar 15, 2011 . The degenerative process of de-interlacing, prior to being many . pitch as Professional irrespective of whether the final production will be . and ACM-17 convert powerful pro-level features including an image . To minimise extraneous noise picked up by the microphone, a "wind cut" function is provided.
http://www.slideshare.net/AvProfshop/gy-hd251-manual
-
adam kuper and jenny kuper
Glossary of Terms
With the IR cut filter removed, the sensitivity of the camera to IR illumination is increased. . the components used to produce a final image in a digital photography system. . To solve this problem interlacing is used where the picture is split into two . Interline Sensor -A type of image sensor consisting of a two-dimensional .
http://www.postdigitalservices.com/glossary.html
-
is hexametaphosphate in tooth paste
Nutzen von 50i im Jahr 2012?
1080i muss ja deinterlaced werden, aus zwei unterschiedlichen Halbbildern muss was zusammengerechnet werden. . Apple Final Cut Pro · Audio .
http://www.slashcam.de/info/Nutzen-von-50i-im-Jahr-2012--559312.html
-
cruise ship male companion
Subscribers click here to download a pdf of - Broadcaster
Aug 2, 2011 . Advanced 2/3-inch, Interline CCDs . Apple Final Cut Pro or Adobe Premiere (. MOV) . de-interlacing in a single PCI Express x16 Gen2 card.
http://www.broadcastermagazine.com/digital-edition/download/?pdf=BM-DE-08012011.pdf
-
des moines catholic schools
Download (PDF) - Daan Hazendonk
1 juli 2011 . 2 Final Cut Pro User Manual: Appendix D: Frame Rate and Timecode . Interlacing is handig als je uiteindelijke weergave ook interlaced is; .
http://www.daanie.nl/wp/wp-content/uploads/2011/07/Scriptie-Video-software-en-Theater-PDF.pdf
-
submitting photos as art
Panasonic-hdc-z10000-3d-camcorder
Feb 9, 2012 . And yes, you MUST upgrade to Vegas Pro 11 in the latest build - in the older . has the advantage that you do not loose resolution due to interline flicker. . It suffers from the fact that you have to deinterlace the footage and have to resize it. . What is clear to me is that the final result is clearly based on the .
http://www.avsforum.com/t/1357471/panasonic-hdc-z10000-3d-camcorder/150
-
customized windows boot cd
RLE Currents | Spring 1998 (13.6mb PDF) - Research Laboratory of ...
Building 20: Final Curtain Call . . . . .22. Building . an annoying interline ?icker that is visi- . deinterlacing techniques are used to . Although there were It W218 8150 Suggested that Channels cut'- . sion, multiple standard-resolution pro- .
http://www.rle.mit.edu/media/currents/10-1.pdf
-
women's shoes narrow width
GY-HD251 Compact ProHD camcorder for Studio - Creative Video
degenerative process of de-interlacing, prior to being displayed. HDV and . powerful pro-level features including an image inverse function that cancels . irrespective of whether the final production will be presented as film or as video, can . extraneous noise picked up by the microphone, a "wind cut" function is provided.
http://www.creativevideo.co.uk/pdf/jvc_gy-hd251.pdf
-
pawtucket public schools ri
Probleme mit DNxHD und Premiere CS6 (;Bildstörungen?!)
Man kannauch einen externen Deinterlacer verwenden. . und das wegen eines geringeren Jidders (;interline twitter) mit 2:2 belegt hat. . Zweitens, in 720p mit 25 fps zu exportieren, dann aber auf das Deinterlacing zu . Apple Final Cut Pro .
http://www.slashcam.de/info/Probleme-mit-DNxHD-und-Premiere-CS6---Bildstoerungen----610911.html
-
beyonse feat shakira beautiful liar
Bill Ravens - Creative COW
I know in Final Cut I'm supposed to convert all of the files to Apple Pro Res 422. Should I do . Rafael... The best deinterlacer I've found is free and works as a plugin with VirtualDub. . Re: Does the nano help reduce interline twitter on EX-1 .
http://my.creativecow.net/58887
-
vintage yamaha 360 it id numbers
Interlaced Video News, Information, Videos, Images
. Television set Frame rate Deinterlacing Display lag European Broadcasting Union 1080p DV Digital Video Broadcasting ATSC High Efficiency Video Coding .
http://www.scoopweb.com/Interlaced_video
-
removing nitrites from aquariums
JVC GY-HD250U HDV Camcorder
The Broadcast Store - The World's Largest New and Used Full Service Pro Video Dealer. . is the preferred system for high end HDTV cameras, since each frame is captured completely, without interlacing. . 1/3" interline-transfer CCDs .
http://www.broadcaststore.com/store/model_detail.cfm?id=800404
-
08 civic si fiji blue pearl
INFRARED DETECTOR ARRAYS
. turbulence. A final factor favoring the LWIR, higher . if a zero-emissivity bandpass filter having in-band transmission tc f , cut-on wavelength l1, and . Similar TDI operation can also be produced by the interline-transfer . one or two rows of SBDs (depending on the type of the interlacing used) into minimum geometry .
http://www.mhprofessional.com/handbookofoptics/pdf/Handbook_of_Optics_vol2_ch33.pdf
-
bt effect on lactic acid bacteria
The Antialiasing Problem in Ray Tracing - Don P. Mitchell
Exact symbolic integration of the image function would be practically impossible, but cone tracing pro- . then forms the final reconstruction by filtering and normalizing the image . An annoying aliasing artifact of interlaced video is interline flicker. . and completely stops the signal outside the boxlike a cookie cut- ter.
http://mentallandscape.com/papers_siggraph90tutorial.pdf
-
shakespear 4710 lowprofile flange mount
External filters - Avisynth
SangNom, A single field deinterlacer, can also be used for anti-aliasing. See discussion. . Useful for removing inter-line differences from telecined films. YV12, YUY2, Plugin . Intended to help with editing rather than for final output. Useful for . CutFrames, Cut a range of frames from a single a/v clip. Opposite of Trim with .
http://avisynth.org/mediawiki/External_filters


xmodaler.modeling.layers¶
-
class
xmodaler.modeling.layers.attention_pooler.
AttentionPooler
(*, hidden_size: int, output_size: int, dropout: float, use_bn: bool)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int, output_size: int, dropout: float, use_bn: bool)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states, masks=None, **kwargs)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.base_attention.
BaseAttention
(*, hidden_size: int, att_embed_size: int, att_embed_dropout: float)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int, att_embed_size: int, att_embed_dropout: float)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states, att_feats, p_att_feats, att_masks=None, **kwargs)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertSelfAttention
(*, hidden_size, num_attention_heads, attention_probs_dropout_prob)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size, num_attention_heads, attention_probs_dropout_prob)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states, attention_mask, history_states=None)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertSelfOutput
(*, hidden_size: int, layer_norm_eps: float, hidden_dropout_prob: float)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int, layer_norm_eps: float, hidden_dropout_prob: float)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states, input_tensor)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertAttention
(*, bert_self_attention, bert_self_output)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, bert_self_attention, bert_self_output)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(input_tensor, attention_mask, history_states=None)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertIntermediate
(*, hidden_size: int, hidden_act: str, intermediate_size: int, intermediate_drop: float)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int, hidden_act: str, intermediate_size: int, intermediate_drop: float)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertOutput
(*, hidden_size: int, intermediate_size: int, layer_norm_eps: float, ffn_dropout_prob: float)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int, intermediate_size: int, layer_norm_eps: float, ffn_dropout_prob: float)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states, input_tensor)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertXAttention
(*, hidden_size, num_attention_heads, attention_probs_dropout_prob)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size, num_attention_heads, attention_probs_dropout_prob)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(query, key, value, attention_mask)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertCrossAttention
(*, bert_cross_attention, bert_self_output)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, bert_cross_attention, bert_self_output)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(query, key, value, attention_mask, q_attention_mask)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertLayer
(*, bert_attention, bert_intermediate, bert_output)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, bert_attention, bert_intermediate, bert_output)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states, attention_mask, history_states=None)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertUnderstandingLayer
(*, bert_attention, bert_intermediate, bert_output)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, bert_attention, bert_intermediate, bert_output)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(input_tensor1, attention_mask1, input_tensor2, attention_mask2)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertGenerationLayer
(*, bert_attention, bert_cross_attention, bert_intermediate, bert_output)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, bert_attention, bert_cross_attention, bert_intermediate, bert_output)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(lang_feats, v_feats, lang_attention_mask=None, v_attention_mask=None, t_history_states=None)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertPooler
(*, hidden_size: int)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.bert.
BertPredictionHeadTransform
(*, hidden_size: int, hidden_act: str, layer_norm_eps: float)[source]¶ Bases:
torch.nn.modules.module.Module
-
__init__
(*, hidden_size: int, hidden_act: str, layer_norm_eps: float)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(hidden_states)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.multihead_attention.
MultiHeadAttentionMemory
(*, d_model: int, d_k: int, d_v: int, num_head: int, dropout: float, num_memory: int)[source]¶ Bases:
torch.nn.modules.module.Module
Multi-head attention layer with Dropout and Layer Normalization.
-
__init__
(*, d_model: int, d_k: int, d_v: int, num_head: int, dropout: float, num_memory: int)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(queries, keys, values, attention_mask=None, attention_weights=None)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.multihead_attention.
MultiHeadAttention
(*, d_model: int, d_k: int, d_v: int, num_head: int, dropout: float, can_be_stateful: bool)[source]¶ Bases:
torch.nn.modules.module.Module
Multi-head attention layer with Dropout and Layer Normalization.
-
__init__
(*, d_model: int, d_k: int, d_v: int, num_head: int, dropout: float, can_be_stateful: bool)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(queries, keys, values, attention_mask=None, attention_weights=None)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-
-
class
xmodaler.modeling.layers.positionwise_feedforward.
PositionWiseFeedForward
(*, d_model: int, d_ff: int, dropout: float)[source]¶ Bases:
torch.nn.modules.module.Module
Position-wise feed forward layer
-
__init__
(*, d_model: int, d_ff: int, dropout: float)[source]¶ Initializes internal Module state, shared by both nn.Module and ScriptModule.
-
forward
(inputs)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
training
= None¶
-


{% extends 'website/base.html' %} {% load static %} {% block title %}Sports in ECSS{% endblock title %} {% block content %}
Sport within ECSS is a growing sector which we aim to expand as we see its importance.
Typically ECS is associated with little physical activity but we see it as vital for a healthy lifestyle as our courses require a lot of idle time.
So within ECSS we offer multiple different sporting opportunities for you to access.
Please explore the below subpages for further details to suit your interest.


© Copyright 1986-2008 by The University of Washington. Written by Joseph Felsenstein. Permission is granted to copy this document provided that no fee is charged for it and that this copyright notice is not removed.
Dnapenny is a program that will find all of the most parsimonious trees implied by your data when the nucleic acid sequence parsimony criterion is employed. It does so not by examining all possible trees, but by using the more sophisticated "branch and bound" algorithm, a standard computer science search strategy first applied to phylogenetic inference by Hendy and Penny (1982). (J. S. Farris [personal communication, 1975] had also suggested that this strategy, which is well-known in computer science, might be applied to phylogenies, but he did not publish this suggestion).
There is, however, a price to be paid for the certainty that one has found all members of the set of most parsimonious trees. The problem of finding these has been shown (Graham and Foulds, 1982; Day, 1983) to be NP-complete, which is equivalent to saying that there is no fast algorithm that is guaranteed to solve the problem in all cases (for a discussion of NP-completeness, see the Scientific American article by Lewis and Papadimitriou, 1978). The result is that this program, despite its algorithmic sophistication, is VERY SLOW.
The program should be slower than the other tree-building programs in the package, but usable up to about ten species. Above this it will bog down rapidly, but exactly when depends on the data and on how much computer time you have.  This can be done by running it on subsets of the species, increasing the number of species in the run until you either are able to treat the full data set or know that the program will take unacceptably long on it. (Making a plot of the logarithm of run time against species number may help to project run times).
The search strategy used by Dnapenny starts by making a tree consisting of the first two species (the first three if the tree is to be unrooted). Then it tries to add the next species in all possible places (there are three of these). For each of the resulting trees it evaluates the number of base substitutions. It adds the next species to each of these, again in all possible spaces. If this process would continue it would simply generate all possible trees, of which there are a very large number even when the number of species is moderate (34,459,425 with 10 species). Actually it does not do this, because the trees are generated in a particular order and some of them are never generated.
This is because the order in which trees are generated is not quite as implied above, but is a "depth-first search". This means that first one adds the third species in the first possible place, then the fourth species in its first possible place, then the fifth and so on until the first possible tree has been produced. For each tree the number of steps is evaluated. Then one "backtracks" by trying the alternative placements of the last species. When these are exhausted one tries the next placement of the next-to-last species. The order of placement in a depth-first search is like this for a four-species case (parentheses enclose monophyletic groups):
Make tree of first two species: (A,B)
Add C in first place: ((A,B),C)
Add D in first place: (((A,D),B),C)
Add D in second place: ((A,(B,D)),C)
Add D in third place: (((A,B),D),C)
Add D in fourth place: ((A,B),(C,D))
Add D in fifth place: (((A,B),C),D)
Add C in second place: ((A,C),B)
Add D in first place: (((A,D),C),B)
Add D in second place: ((A,(C,D)),B)
Add D in third place: (((A,C),D),B)
Add D in fourth place: ((A,C),(B,D))
Add D in fifth place: (((A,C),B),D)
Add C in third place: (A,(B,C))
Add D in first place: ((A,D),(B,C))
Add D in second place: (A,((B,D),C))
Add D in third place: (A,(B,(C,D)))
Add D in fourth place: (A,((B,C),D))
Add D in fifth place: ((A,(B,C)),D)
Among these fifteen trees you will find all of the four-species rooted trees, each exactly once (the parentheses each enclose a monophyletic group). As displayed above, the backtracking depth-first search algorithm is just another way of producing all possible trees one at a time. The branch and bound algorithm consists of this with one change. As each tree is constructed, including the partial trees such as (A,(B,C)), its number of steps is evaluated. In addition a prediction is made as to how many steps will be added, at a minimum, as further species are added.
This is done by counting how many sites which are invariant in the data up to the most recent species added will ultimately show variation when further species are added. Thus if 20 sites vary among species A, B, and C and their root, and if tree ((A,C),B) requires 24 steps, then if there are 8 more sites which will be seen to vary when species D is added, we can immediately say that no matter how we add D, the resulting tree can have no less than 24 + 8 = 32 steps. The point of all this is that if a previously-found tree such as ((A,B),(C,D)) required only 30 steps, then we know that there is no point in even trying to add D to ((A,C),B). We have computed the bound that enables us to cut off a whole line of inquiry (in this case five trees) and avoid going down that particular branch any farther.
The branch-and-bound algorithm thus allows us to find all most parsimonious trees without generating all possible trees. How much of a saving this is depends strongly on the data. For very clean (nearly "Hennigian") data, it saves much time, but on very messy data it will still take a very long time.
The algorithm in the program differs from the one outlined here in some essential details: it investigates possibilities in the order of their apparent promise. This applies to the order of addition of species, and to the places where they are added to the tree. After the first two-species tree is constructed, the program tries adding each of the remaining species in turn, each in the best possible place it can find. Whichever of those species adds (at a minimum) the most additional steps is taken to be the one to be added next to the tree. When it is added, it is added in turn to places which cause the fewest additional steps to be added. This sounds a bit complex, but it is done with the intention of eliminating regions of the search of all possible trees as soon as possible, and lowering the bound on tree length as quickly as possible. This process of evaluating which species to add in which order goes on the first time the search makes a tree; thereafter it uses that order.
The program keeps a list of all the most parsimonious trees found so far. Whenever it finds one that has fewer losses than these, it clears out the list and restarts it with that tree. In the process the bound tightens and fewer possibilities need be investigated. At the end the list contains all the shortest trees. These are then printed out. It should be mentioned that the program Clique for finding all largest cliques also works by branch-and-bound. Both problems are NP-complete but for some reason Clique runs far faster. Although their worst-case behavior is bad for both programs, those worst cases occur far more frequently in parsimony problems than in compatibility problems.
Among the quantities available to be set from the menu of Dnapenny, two (howoften and howmany) are of particular importance. As Dnapenny goes along it will keep count of how many trees it has examined. Suppose that howoften is 100 and howmany is 1000, the default settings. Every time 100 trees have been examined, Dnapenny will print out a line saying how many multiples of 100 trees have now been examined, how many steps the most parsimonious tree found so far has, how many trees with that number of steps have been found, and a very rough estimate of what fraction of all trees have been looked at so far.
When the number of these multiples printed out reaches the number howmany (say 1000), the whole algorithm aborts and prints out that it has not found all most parsimonious trees, but prints out what is has gotten so far anyway. These trees need not be any of the most parsimonious trees: they are simply the most parsimonious ones found so far. By setting the product (howoften times howmany) large you can make the algorithm less likely to abort, but then you risk getting bogged down in a gigantic computation. You should adjust these constants so that the program cannot go beyond examining the number of trees you are reasonably willing to pay for (or wait for). In their initial setting the program will abort after looking at 100,000 trees. Obviously you may want to adjust howoften in order to get more or fewer lines of intermediate notice of how many trees have been looked at so far. Of course, in small cases you may never even reach the first multiple of howoften, and nothing will be printed out except some headings and then the final trees.
The indication of the approximate percentage of trees searched so far will be helpful in judging how much farther you would have to go to get the full search. Actually, since that fraction is the fraction of the set of all possible trees searched or ruled out so far, and since the search becomes progressively more efficient, the approximate fraction printed out will usually be an underestimate of how far along the program is, sometimes a serious underestimate.
A constant at the beginning of the program that affects the result is "maxtrees", which controls the maximum number of trees that can be stored. Thus if maxtrees is 25, and 32 most parsimonious trees are found, only the first 25 of these are stored and printed out. If maxtrees is increased, the program does not run any slower but requires a little more intermediate storage space. I recommend that maxtrees be kept as large as you can, provided you are willing to look at an output with that many trees on it! Initially, maxtrees is set to 100 in the distribution copy.
The counting of the length of trees is done by an algorithm nearly identical to the corresponding algorithms in Dnapars, and thus the remainder of this document will be nearly identical to the Dnapars document.
This program carries out unrooted parsimony (analogous to Wagner trees) (Eck and Dayhoff, 1966; Kluge and Farris, 1969) on DNA sequences. The method of Fitch (1971) is used to count the number of changes of base needed on a given tree. The assumptions of this method are exactly analogous to those of Dnapars:
Change from an occupied site to a deletion is counted as one change. Reversion from a deletion to an occupied site is allowed and is also counted as one change.
That these are the assumptions of parsimony methods has been documented in a series of papers of mine: (1973a, 1978b, 1979, 1981b, 1983b, 1988b). For an opposing view arguing that the parsimony methods make no substantive assumptions such as these, see the papers by Farris (1983) and Sober (1983a, 1983b), but also read the exchange between Felsenstein and Sober (1986).
Change from an occupied site to a deletion is counted as one change. Reversion from a deletion to an occupied site is allowed and is also counted as one change. Note that this in effect assumes that a deletion N bases long is N separate events.
The input data is standard. The first line of the input file contains the number of species and the number of sites. If the Weights option is being used, there must also be a W in this first line to signal its presence. There are only two options requiring information to be present in the input file, W (Weights) and U (User tree). All options other than W (including U) are invoked using the menu.
Next come the species data. Each sequence starts on a new line, has a ten-character species name that must be blank-filled to be of that length, followed immediately by the species data in the one-letter code. The sequences must either be in the "interleaved" or "sequential" formats described in the Molecular Sequence Programs document. The I option selects between them. The sequences can have internal blanks in the sequence but there must be no extra blanks at the end of the terminated line. Note that a blank is not a valid symbol for a deletion.
The options are selected using an interactive menu. The menu looks like this:
Penny algorithm for DNA, version 3.69 branch-and-bound to find all most parsimonious trees Settings for this run: H How many groups of 100 trees: 1000 F How often to report, in trees: 100 S Branch and bound is simple? Yes O Outgroup root? No, use as outgroup species 1 T Use Threshold parsimony? No, use ordinary parsimony W Sites weighted? No M Analyze multiple data sets? No I Input sequences interleaved? Yes 0 Terminal type (IBM PC, ANSI, none)? ANSI 1 Print out the data at start of run No 2 Print indications of progress of run Yes 3 Print out tree Yes 4 Print out steps in each site No 5 Print sequences at all nodes of tree No 6 Write out trees onto tree file? Yes Are these settings correct? (type Y or the letter for one to change) |
The user either types "Y" (followed, of course, by a carriage-return) if the settings shown are to be accepted, or the letter or digit corresponding to an option that is to be changed.
The options O, T, W, M, and 0 are the usual ones. They are described in the main documentation file of this package. Option I is the same as in other molecular sequence programs and is described in the documentation file for the sequence programs.
The T (threshold) option allows a continuum of methods between parsimony and compatibility. Thresholds less than or equal to 1.0 do not have any meaning and should not be used: they will result in a tree dependent only on the input order of species and not at all on the data!
The W (Weights) option allows only weights of 0 or 1.
The options H, F, and S are not found in the other molecular sequence programs. H (How many) allows the user to set the quantity howmany, which we have already seen controls number of times that the program will report on its progress. F allows the user to set the quantity howoften, which sets how often it will report -- after scanning how many trees.
The S (Simple) option alters a step in Dnapenny which reconsiders the order in which species are added to the tree. Normally the decision as to what species to add to the tree next is made as the first tree is being constructed; that ordering of species is not altered subsequently. The S option causes it to be continually reconsidered. This will probably result in a substantial increase in run time, but on some data sets of intermediate messiness it may help. It is included in case it might prove of use on some data sets. The Simple option, in which the ordering is kept the same after being established by trying alternatives during the construction of the first tree, is the default. Continual reconsideration can be selected as an alternative.
Output is standard: if option 1 is toggled on, the data is printed out, with the convention that "." means "the same as in the first species". Then comes a list of equally parsimonious trees, and (if option 2 is toggled on) a table of the number of changes of state required in each character. If option 5 is toggled on, a table is printed out after each tree, showing for each branch whether there are known to be changes in the branch, and what the states are inferred to have been at the top end of the branch. If the inferred state is a "?" or one of the IUB ambiguity symbols, there will be multiple equally-parsimonious assignments of states; the user must work these out for themselves by hand. A "?" in the reconstructed states means that in addition to one or more bases, a deletion may or may not be present. If option 6 is left in its default state the trees found will be written to a tree file, so that they are available to be used in other programs. If the program finds multiple trees tied for best, all of these are written out onto the output tree file. Each is followed by a numerical weight in square brackets (such as [0.25000]). This is needed when we use the trees to make a consensus tree of the results of bootstrapping or jackknifing, to avoid overrepresenting replicates that find many tied trees.
8 6 Alpha1 AAGAAG Alpha2 AAGAAG Beta1 AAGGGG Beta2 AAGGGG Gamma1 AGGAAG Gamma2 AGGAAG Delta GGAGGA Epsilon GGAAAG |
Penny algorithm for DNA, version 3.69 branch-and-bound to find all most parsimonious trees 8 species, 6 sites Name Sequences ---- --------- Alpha1 AAGAAG Alpha2 ...... Beta1 ...GG. Beta2 ...GG. Gamma1 .G.... Gamma2 .G....     State at upper node ( . means same as in the node below it on tree) 1 AAGAAG 1 Alpha1 no ...... 1 2 no ...... 2 Alpha2 no ...... 2 4 no ...... 4 7 yes .G.... 7 Gamma2 no ...... 7 5 no ...... 5 6 yes G.A... 6 Epsilon no ...... 6 Delta yes ...GGA 5 Gamma1 no ...... 4 3 yes ...GG. 3 Beta2 no ...... 3 Beta1 no ...... +--------------------Alpha1 ! ! +-----------------Alpha2 1 ! ! ! +--Epsilon ! ! +-----6 +--2 ! +--Delta ! +-----5 ! ! ! +--Gamma2 ! ! +-----7 +--4 +--Gamma1 ! ! +--Beta2 +-----------3 +--Beta1 remember: this is an unrooted tree! steps in each site: 0 1 2 3 4 5 6 7 8 9 *----------------------------------------- 0| 1 1 1 2 2 1 From To Any Steps?  State at upper node ( . means same as in the node below it on tree) 1 AAGAAG 1 Alpha1 no ...... 1 2 no ...... 2 Alpha2 no ...... 2 4 no ...... 4 5 yes .G.... 5 7 no ...... 7 Gamma2 no ...... 7 6 yes G.A... 6 Epsilon no ...... 6 Delta yes ...GGA 5 Gamma1 no ...... 4 3 yes ...GG. 3 Beta2 no ...... 3 Beta1 no ...... +--------------------Alpha1 ! ! +-----Alpha2 1 +-----------2 ! ! ! +--Beta2 ! ! +--3 +--4 +--Beta1 ! ! +--------Gamma2 ! ! +--------7 +--Epsilon ! +--6 +--5 +--Delta ! +-----Gamma1 remember: this is an unrooted tree! steps in each site: 0 1 2 3 4 5 6 7 8 9 *----------------------------------------- 0| 1 1 1 2 2 1 From To Any Steps? State at upper node ( . means same as in the node below it on tree) 1 AAGAAG 1 Alpha1 no ...... 1 4 no ...... 4 2 no ...... 2 Alpha2 no ...... 2 3 yes ...GG. 3 Beta2 no ...... 3 Beta1 no ...... 4 7 yes .G.... 7 Gamma2 no ...... 7 5 no ...... 5 6 yes G.A... 6 Epsilon no ...... 6 Delta yes ...GGA 5 Gamma1 no ...... +--------------------Alpha1 ! ! +-----Alpha2 1 +-----------2 ! ! ! +--Beta2 ! ! +--3 ! ! +--Beta1 +--4 ! +-----Gamma2 ! +--7 ! ! ! +--Epsilon +--------5 +--6 ! +--Delta ! +--------Gamma1 remember: this is an unrooted tree! steps in each site: 0 1 2 3 4 5 6 7 8 9 *----------------------------------------- 0| 1 1 1 2 2 1 From To Any Steps? State at upper node ( . means same as in the node below it on tree) 1 AAGAAG 1 Alpha1 no ...... 1 4 no ...... 4 2 no ...... 2 Alpha2 no ...... 2 3 yes ...GG. 3 Beta2 no ...... 3 Beta1 no ...... 4 5 yes .G.... 5 7 no ...... 7 Gamma2 no ...... 7 6 yes G.A... 6 Epsilon no ...... 6 Delta yes ...GGA 5 Gamma1 no ...... +--------------------Alpha1 ! ! +-----Alpha2 1 +-----------2 ! ! ! +--Beta2 ! ! +--3 ! ! +--Beta1 +--4 ! +--Epsilon ! +-----6 ! ! +--Delta +--------5 ! +--Gamma2 +-----7 +--Gamma1 remember: this is an unrooted tree! steps in each site: 0 1 2 3 4 5 6 7 8 9 *----------------------------------------- 0| 1 1 1 2 2 1 From To Any Steps? State at upper node ( . means same as in the node below it on tree) 1 AAGAAG 1 Alpha1 no ...... 1 4 no ...... 4 2 no ...... 2 Alpha2 no ...... 2 3 yes ...GG. 3 Beta2 no ...... 3 Beta1 no ...... 4 5 yes .G.... 5 6 yes G.A... 6 Epsilon no ...... 6 Delta yes ...GGA 5 7 no ...... 7 Gamma2 no ...... 7 Gamma1 no ...... |


THE ADVENTURES OF BARON MUNCHAUSEN A film review by Mark R. Leeper Copyright 1989 Mark R. Leeper
Capsule review: Once again the ever-so-slightly exaggerated adventures of the great Baron are told. Terry Gilliam brings many of the great images of the Munchausen stories to the screen but the story that ties them together has problems. Rating: high +1.
THE ADVENTURES OF BARON MUNCHAUSEN is purported to be the final installment of a "trilogy" of films directed by Terry Gilliam, the animator for the "Monty Python" television series. And while the first two, TIME BANDITS and BRAZIL, were based on original screenplays, BARON MUNCHAUSEN is an adaptation of the famous adventures which are for Europe sort of what the Oz stories are for the United States. The earliest Munchausen stories were first published in 1785. Since then the tall tales have taken many forms. Many Americans first became aware of the Baron through NBC's 1933 radio program THE JACK PEARL SHOW, in which Pearl played the Baron. There have been at least two previous film versions, one from Germany in 1943 with Hans Albers as the Baron and one from Czechoslovakia in 1961 with Milos Kopecky. The latter used to show up on New York television and did some very imaginative combining of live actors and animation. Terry Gilliam's version is the latest version, and like the 1961 and probably the 1943 versions, visually it owes very much to one of the great book illustrators of all time, Gustave Dore.
The story of Gilliam's film is not taken from the book but rather is a tying together of the more imaginative scenes that Dore illustrated but in what is at times a more rapid-fire pace. And only "at times," because the pacing of BARON MUNCHAUSEN is extremely uneven. As in TIME BANDITS, Gilliam has little idea of which of his sequences are really entertaining and which are simply dull. More than once the viewer feels like telling Gilliam that he has made his point, is wasting precious screen time on an idea that has no more to offer and should get on with things. Then as often as not the next scene is a gem.
The story has a small theatre company putting on their production of "The Adventures of Baron Munchausen" in a city besieged by the Ottoman Turks. As the pallid play proceeds who should arrive but the Baron himself to give his own account of his adventures. The story is difficult to relate from there, not just because it is hard to tell what is fantasy and what is reality, but because the script actually contradicts itself as to what is its actual story line versus story-within-story. Hence the story line does not bear close examination. Somewhere in all this is the Baron's bet with a sultan and a trip to the moon with Robin Williams playing a very strange moon man. There is a visit to Vulcan's forge, and another to the belly of a huge fish. Finally there is a stupendous battle between the Ottoman Turks and the Baron's friends, who amount to virtual super-heroes.
Like the 1961 version, this film is a treat more for the eye than for the mind. Scenes of the city under siege are done with tremendous historical realism. Some scenes of fantasy are done with great imagination. Then just when the proper mood is established, Gilliam will throw in an anachronistic reference and get a chuckle from the audience at the expense of the mood. THE ADVENTURES OF BARON MUNCHAUSEN is a film that when it is good is very, very good, and when it is bad, it can be quite bad. It is a tough film to rate overall, but probably deserves a high +1 on the -4 to +4 scale--better than TIME BANDITS, not as good as BRAZIL.
Mark R. Leeper att!mtgzz!leeper<EMAIL_ADDRESS>Copyright 1989 Mark R. Leeper
The review above was posted to the
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.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Learn how Vire is changing
the way we pay.
Enjoy instant transactions and direct transfers to your Vire Wallet, with no fees, no interest, and no monthly charges.
Send and receive money instantly using Vire Mobile and Vire Online.
Add funds to you Vire Wallet instantly, and use it with all the convenience of cash.
But with the security of modern encryption and without the hassle of dealing with change.
Earn 1% Extra Credit on each deposit, giving you the most of your money. Spend Extra Credit as you would cash or redeem for special rewards.
Make online purchases fast and easy with Vire.
Pay using integrated Vire API in online shops or with the Vire Mobile app.
Seamless international shopping with Vire's currency-versatile system.


| 029:024 Khan | : |
So nothing was the answer of [Ibrahim's (Abraham)] people except that they said: "Kill him or burn him." Then Allah saved him from the fire. Verily, in this are indeed signs for a people who believe. |
| 029:024 Maulana | : |
So naught was the answer of his people except that they say: Slay him or burn him! But Allah delivered him from the fire. Surely therein are signs for a people who believe. |
| 029:024 Pickthal | : |
But the answer of his folk was only that they said: "Kill him" or "Burn him." Then Allah saved him from the Fire. Lo! herein verily are portents for folk who believe. |
| 029:024 Rashad | : |
The only response from his people was their saying, "Kill him, or burn him." But GOD saved him from the fire. This should provide lessons for people who believe. |
| 029:024 Sarwar | : |
(Abraham's) people had no answer except suggesting, "Kill him or burn him." But God saved him from the fire. In this there is evidence (of truth) for the believing people. |
| 029:024 Shakir | : |
So naught was the answer of his people except that they said: Slay him or burn him; then Allah delivered him from the fire; most surely there are signs in this for a people who believe. |
| 029:024 Sherali | : |
And the only answer of his people was that they said, 'Slay him or burn him.' But ALLAH delivered him from the fire. In that, surely, are, Signs for a people who believe. |
| 029:024 Yusufali | : |
So naught was the answer of (Abraham's) people except that they said: "Slay him or burn him." But Allah did save him from the Fire. Verily in this are Signs for people who believe. |
Concepts/Themes Covered:
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.