How sleep deprivation affects your performance
New York - Sleep deprivation affects us much more than prior theories have suggested, say researchers, adding that it impacts placekeeping - or, the ability to complete a series of steps without losing one's place, despite potential interruptions.
"Our research showed that sleep deprivation doubles the odds of making placekeeping errors and triples the number of lapses in attention, which is startling," said study researcher Kimberly Fenn from Michigan State University in the US.
"Sleep-deprived individuals need to exercise caution in absolutely everything that they do, and simply can't trust that they won't make costly errors. Oftentimes - like when behind the wheel of a car - these errors can have tragic consequences," Fenn added.
For the study Published in the Journal of Experimental Psychology: General, the researchers recruited 138 people to participate in the overnight sleep assessment; 77 stayed awake all night and 61 went home to sleep.
All participants took two separate cognitive tasks in the evening: one that measured reaction time to a stimulus; the other measured a participant's ability to maintain their place in a series of steps without omitting or repeating a step - even after sporadic interruptions.
The participants then repeated both tasks in the morning to see how sleep-deprivation affected their performance.
After being interrupted there was a 15 per cent error rate in the evening and we saw that the error rate spiked to about 30 per cent for the sleep-deprived group the following morning. The rested participants' morning scores were similar to the night before.
"There are some tasks people can do on auto-pilot that may not be affected by a lack of sleep," Fenn said.
However, sleep deprivation causes widespread deficits across all facets of life.
"Our findings debunk a common theory that suggests that attention is the only cognitive function affected by sleep deprivation," said study researcher Michelle Stepan.
"Some sleep-deprived people might be able to hold it together under routine tasks, like a doctor taking a patient's vitals," Stepan said
Read also
Read More
Get moving! Four in five adolescents don't exercise enough: WHO
Four in five adolescents worldwide do not get enough physical activity, to the detriment of their health, the World Health Organization said Friday, warning that girls especially need more exercise.
Read More
US officials: Don’t eat romaine grown in Salinas, California
The warning comes almost exactly one year after a similar outbreak led to a blanket warning about tainted romaine.


[dscrdutrum] <Sri - Project Lead> You received them
GatewayBOT16-Jul-18 06:53 AM
[dscrdutrum] <Cryptoon> Was it july 5th?
GatewayBOT16-Jul-18 07:38 AM
[dscrdutrum] <Sri - Project Lead> Yes @Cryptoon
[dscrdutrum] <Sri - Project Lead> You also got some extra OOT for being early bird supporter
[dscrdutrum] <Cryptoon> Alright cool!
[dscrdutrum] <Cryptoon> Nice present, didnt really think about it anymore but just saw that my balance was quite a bit bigger than what I had in my blocfolio
Check out the Executive Team behind @utrumdotio! With a team of experienced and passionate individuals.
Solving the Cryptocurrency Trust problems and on its way to the better way. To learn more, go to https://t.co/E5UxynzjLE
$OOT
The Utrum Platform What is #Utrum? Utrum is a decentralized platform providin...
GatewayBOT26-Jul-18 08:42 AM
[dscrdutrum] <goldenman> Any roadmap for OOT wallet of hodl reward? 3Q or 4Q?
GatewayBOT26-Jul-18 10:45 AM
[dscrdutrum] <Crumb> i asked about the vesting functionality timeline a couple of weeks ago. it's going to be part of the OOT wallet functionality and if i remember correctly the timeline was beginning of september
@goldenman
GatewayBOT26-Jul-18 11:15 AM
[dscrdutrum] <Emman - DevOps> @goldenman James is developing a long term solution, it's actually already coded, you can check the discussion yesterday at #crypto-conditions on the Komodo Discord.
Meanwhile we're researching and developing intermediate solutions for the same problem, that don't require hard fork (inevitable in the middle/long term).(edited)
[dscrdutrum] <Emman - DevOps> The alpha wallet is already working, it just needs the new features added, you can check our Github.
[dscrdutrum] <Emman - DevOps> It requires a re-design too.
[dscrdutrum] <Emman - DevOps> Our web designer is working on it.
[dscrdutrum] <goldenman> @Emmanuel @crumb thank you for the answers :)
Utrum has chosen Komodo as our Blockchain platform over Ethereum, Neo, and many others because of the impressive white-labeled solutions offered by Komodo Platform. UTRUM - Komodo's breathing https://t.co/PqWo13rylO
$OOT $KMD $BTC @utrumdotio #utrum #Cryptocur...
Dear $OOT Followers We have launched Bitcointalk Signature and Reddit campaign to promote #Utrum . Please join the campaign and spread the word . More details here https://t.co/PAick13Cmv
GatewayBOT26-Jul-18 07:25 PM
[dscrdutrum] <Emman - DevOps> Welcome, everybody!
GatewayBOT26-Jul-18 10:04 PM
[dscrdutrum] <DaCrypto> Hi everyone, #Utrum is a decentralized reward platform which will provide cryptocurrency stakeholders an ecosystem where they can share information in earnest. The Utrum team understands that as new blockchain technologies are being developed, it is increasingly difficult for investors to intelligently and informatively find the best cryptocurrency investments in the industry. Utrum will provide an ecosystem that solves the problems by connecting experienced analysts and developers with investors and newcomers.
[dscrdutrum] <DaCrypto> Hi everyone, #Utrum is a decentralized reward platform which will provide cryptocurrency stakeholders an ecosystem where they can share information in earnest. The Utrum team understands that as new blockchain technologies are being developed, it is increasingly difficult for investors to intelligently and informatively find the best cryptocurrency investments in the industry. Utrum will provide an ecosystem that solves the problems by connecting experienced analysts and developers with investors and newcomers.
[dscrdutrum] <Sri - Project Lead> If you are here for bounty, Join #oot-contests channel(edited)
GatewayBOT28-Jul-18 06:48 PM
[dscrdutrum] <huudat82> HI
GatewayBOT28-Jul-18 07:20 PM
[dscrdutrum] <DaCrypto> @huudat82 hi
GatewayBOT28-Jul-18 08:45 PM
[dscrdutrum] <halpi> whats up everyone
GatewayBOT28-Jul-18 10:33 PM
[dscrdutrum] <Zafer - TR Ambassador> @halpi yo sup?
GatewayBOT29-Jul-18 02:20 PM
[dscrdutrum] <DaCrypto> Welcome @thachthuat
GatewayBOT29-Jul-18 05:02 PM
[dscrdutrum] <DaCrypto> Hi , #Utrum is a decentralized reward platform which will provide cryptocurrency stakeholders an ecosystem where they can share information in earnest. The Utrum team understands that as new blockchain technologies are being developed, it is increasingly difficult for investors to intelligently and informatively find the best cryptocurrency investments in the industry. Utrum will provide an ecosystem that solves the problems by connecting experienced analysts and developers with investors and newcomers.
[dscrdutrum] <dinhconglinh1403> hi
[dscrdutrum] <DaCrypto> @dinhconglinh1403 can we help you?


Royalty-free Images From:
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https://www.pexels.com/photo/woman-having-video-call-4240602/
https://www.pexels.com/photo/people-on-a-video-call-4226122/
https://www.pexels.com/photo/turned-on-macbook-3205403/
https://www.pexels.com/photo/a-man-in-gray-suit-having-an-online-meeting-using-his-laptop-7792751/
https://www.pexels.com/photo/people-on-a-video-call-4226122/


Send a rocket to mars. Naa just kidding :D ArtShop.com is a platform for artists to showcase their talent to the
world and earn from it.
If you are an post, Artshop lets you find buyers for your art and if you are an art lover,
you get to buy from a wide range of art pieces and a wide range of artists.
We believe in a beautiful world where the post and the buyers talk to each other. And the buyer buys directly from the artists. Some may say that we do not like to be dragged into all the hustle of payment, storing and delivery of art. Well they are right :)
Our platform is for two kinds of people. One that understands art and the other, who create them.
We let the artists showcase their art by putting a price tag on it. The post decides the rate on the tag.
If you like the work, you can buy it from the post. We let the post know that you are interested in buying his work. The post is informed and arranges for the payment and transportation of the art
Artshop.com does not handle the payment, storage and delivery of the art. These are done directly between the post and the buyer
We charge the post a nominal charge for showcasing their art on our platform(Artshop.com). Also, we sell ads. To advertise please contact our developer
Read our terms and conditions and privacy policy.
Please send us your feedback at anandu.rdharn@gmail.com


Employee Details
First name :
Middle name :
Last name :
Male
Female
DOB :
- Month -
January
Febuary
March
April
May
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- Day -
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- Year -
1993
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Martial status :
Single
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Divorced
Experience :
- Number of years -
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email :
Work Start Date :
- Month -
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- Day -
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- Year -
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Driver's Licence Number :
Pan Card Number :
Aadhaar card Number :
Address1 :
House No :
Street :
City :
State :
Zipcode :
Address2 :
House No :
Street :
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Zipcode :
Phone Number:
Cell 1:
Cell 2:
Home Phone:
Other :
Education :
Salary :
Rs


The voice continues,
"As Bruce was in no mood for rodents. He turned them out of the house and headed to bed."
You see bruce growl and move his arms in a sweeping motion. He then rushes past the mice into the house, coming back to the door with a broom. Bruce sweeps the mice out and slams the door.
He opens his bedroom door and sees a moose, rabbit, porcupine, a couple of turtles, and a raccoon snuggled up in and under his bed in their nightclothes. One of them tells him that this room is full. Another asks him to close the door on his way out. The booming voice returns.
"That started the trouble."


Group expresses concern over destruction of farmlands at Amoawi
by Stephen Asante, GNAAmoawi (Ash), Nov. 13, GNA - The Amoawiman Progress Group (APG), a civil society organisation, has condemned the recent destruction of some farmlands at Amoawi in the Offinso Municipality of the Ashanti Region.
"The Group will support the affected families (land owners) against any attempt to unlawfully usurp their land.
We want to be clear that the Amoawi farmlands belong to the families or people of Amoawi, and that, chiefs are put in place by the people to protect their interests and wellbeing," a statement signed by Mr. Paul Fordjour, Executive Director of the Group, noted.
The statement comes in the wake of a recent demonstration by the affected farmers to register their displeasure over the destruction of their farmlands by some private developers.
According to the farmers, the development is an attempt to deny them of their livelihood, and also forcibly take over their lands.
“Our ancestors fought along with the chiefs to preserve the land, and that is the reason our people deserve to be on that land,” the statement emphasized.
Therefore, the APG would fight tooth and nail, using the courts and all possible means, to make sure that “our people keep their land.”
GNA


Putting multiple top-level classes in one file may be confusing and degrade the usefulness of various software tools.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Preheat the oven to 200C/400F/Gas 6, or light the barbecue and let the initial flames die down.
Slash the skin of the snapper on both sides with a sharp knife.
Season the snapper well with salt and freshly ground black pepper.
 Place the lemongrass stalks, lime slices and ginger sticks onto the leaf or foil and place the snapper on top.
Wrap up the fish into a parcel and secure with a cocktail stick that has been soaked in water for 10 minutes, if using a banana leaf, or fold to seal if using foil.
Transfer to the oven or barbecue and cook for 15-20 minutes (depending on the size of the snapper), or until just cooked through.
For the salsa, lightly toast the grated coconut in a dry frying pan for 1-2 minutes, or until golden-brown all over.
Place the avocado oil and rice vinegar into a bowl and mix together well.
Add the toasted coconut, brown shrimps, pineapple and thyme and mix together well.
To serve, open the fish parcel at the table and serve portions onto plates. Place the salsa into a large serving bowl and let people help themselves.


Out-of-band Application Security Testing Support
The OAST Support add-on allows you to detect and exploit out-of-band vulnerabilities in web applications.
Services
For a list of the supported services, see the OAST Services page.
Scripts
If the Script Console and the GraalVM JavaScript add-ons are installed, a new script template called
"OAST Register Request Handler.js" is added to ZAP. Using this template, you can create a script that performs an action
whenever an out-of-band request is discovered. This action could be anything like sending yourself an email or
executing another script in ZAP.
See also


Alumni Benefits
Admissions Recruit Musketeers
Upcoming Alumni Events
Make a Gift
Update your Contact Info
Gift Ideas Xavier Gear
Xavier Stories
Read/Submit Class Notes


At Say Web Design around one third of our business is acquired due to word of mouth. As such, we’ve come up with a little scheme to give something back to the clients that have kindly recommended us.It’s our way of saying thanks for spreading the word!
When the person or company you refer signs up for a new website with us we will reward you with 15 hours’ worth of design or development work on your website.
Refer a friendor call us on 0203 637 3320
As with all offers, there are a few terms to bear in mind:


{% load static %}
Providing the best-in-class laser cutting, milling and drilling since 2007
When you place an order with us, you can start from scratch. Right from ideation of the machine parts you need, identifying the right material composition, sourcing the materials and evaluating the installation requirements, to delivering you the finished product, AnD takes care of everything.
Trust and value of your time are the foundation of our relationship with you. We would be glad to put you in touch with our experienced CAD partners who can help with design, our fastidious engineers who can help with materials and installation evaluation and our trusted suppliers who have always ensured that we received top-quality materials. Your peace of mind is paramount.
More details »We work using gas lasers, solid state lasers and an excimer. Materials: Ceramics, plywood, polycarbonate, polyethelene, perspex, titanium, gold, copper, aluminium, stainless steel and construction steel
Our milling and drilling machines are augmented with automatic tool changers, CNC capability, coolant systems and enclosures. We have recently upgraded them to cobot systems to ensure safety and ease of use.
We are blessed to have been considered as an official supplier of machined parts, for ISRO's Mars mission. More information about this soon...


Trip to the airport this morning!!
🏛 “He and his coterie of idiots, nihilists, and opportunists were the perfect prey for Putin’s spell…” – How Russia Mercilessly Played Trump for a Fool - Vanity Fair
💻 “Python jumps to No. 1, and Swift enters the Top Ten” - The 2017 Top Programming Languages - IEEE
🏛 “Mr. Trump somehow seems to believe that his outsize personality and social-media following make him larger than the Presidency. He’s wrong…” – The Trumps and the Truth - WSJ


Our work is organized around three main dimensions: * Pipelines of data processing in which we develop and organized our data sciences methods. * Building blocks in which we adapt our processes to our specific knowledge of health systems and health issues in developing countries. * Projects in which we combine pipelines from different building blocks, and add custom work for a specific objective and outcome.
For example, our work on data auditing and data modeling allows gives us a good understanding of how to analyze and represent HMIS data availability for patients care and logistical systems, which we will implement in many of our project, with some adaptation regarding the subjects we are more interested in (HIV, family planning…)
Pipelines are the generic manipulation we are doing in most of the project we are working. They are our core toolbox, and are developed overtime when we have to process data for different purposes. We are currently organized around five main pipelines.
In this pipeline we work on understanding what a data source includes, and what can or can’t be done with it. Most of the HMIS data we work with includes hundreds of indicators, measured over time in thousands of facilities. We develop a generic approach and tools to assess data quality, and explore possible usages and potential shortcomings, even before we start comprehensively processing the data.
Because we do a lot of data compiling from different sources, we need to map those sources between them (indicators, orgUnits…), mapping indicators with concepts etc… This includes some help for manual integration, and some machine learning approach for automating burdensome tasks.
Once data has been identified and mapped, we need to transform it before it is modeled. Due to type of real life data we use, this is a really not trivial line of work. This includes data sources reconciliation, data imputation, data selection…
The data modeling is all the analytical work we want to do with the data to produce some value. This includes building composite indicators, any kind of statistical modeling or learning we are doing on a routine basis and want to replicate across different projects because it is good.
Finally, we have to format outputs to fit both the needs of our clients, and the tools we use to communicate or present our work. This includes graphs, shiny apps, notebooks…
Building blocks are the different domains of analysis we are interested in investigating. For each of the pipelines, some of the processes have different approaches depending on the building blocks they refer to. For example, when working on HIV data, the way we impute missing data for a number of active patients on ART will be different from how we impute data on ART stocks.
Todo
Add diagram to illustrate pipeline x blocks Matrix
Todo
Add links to projects outputs or notebooks.


| Type & Detail | Target | Last Result | Last Result Date | Next Due Date | More |
|---|
Personal Goals
Tests / Vitals
Medications
Activity / Nutrition
Support Services
Wrap-Up
| Last Result: | Last Result Date: | Next Due Date: | Goal State: |
|
| Factor / Modifier: | Target Value: | In Range Frequency: | Out of Range Frequency: |
|
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|||
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And |
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| Trigger Description: | |||


Front End Projects
Calculator
Tic Tac Toe
Local Weather
Random Quote Machine
Wiki Search
copyright
Ramalingam


Pair wanted in Blackburn hit and run murder investigation
by James GravesA manhunt has started following the murder of a Blackburn woman who was knocked down by a car in the town last week.
Detectives investigating the murder of Alison Mcblaine are appealing for information to find two men, Kaylib Connolly, 18 and Dean Qayum, 20, both from the Blackburn area, in connection with her death.
Miss McBlaine, 36, died on Thursday (November 21) in hospital following a serious collision around 7.45pm on Tuesday (November 19) on Whalley Banks at the junction with Pearson Street.
Police believe a car, a Fiat Grande Punto, deliberately mounted the pavement before colliding with Alison, and a second pedestrian, a man aged 26 from Blackburn. He sustained serious injuries as well.
The car failed to stop at the scene of the collision and was later found on Lower Hollin Bank Street with significant front end damage. Attempts had been made to set the vehicle on fire.
Two men initially arrested by police and a third person arrested by officers yesterday (Friday, November 22), remain in custody.
Detectives now want to speak to Connolly and Qayum in connection with Miss McBlaine’s death and are warning anyone hiding them they will be arrested.
Det Ch Insp Lee Wilson, of Lancashire Police, said: “Connolly and Qayum are wanted in connection with this extremely serious offence.
“They know police want to speak to them and I believe they are being harboured in and around the Blackburn area at this time.
“I would warn anyone who is protecting them, or helping to hide them, that we will identify this during our investigation and they will also be arrested and prosecuted.
“My thoughts and those of the team engaged on this inquiry remain with Alison’s loved ones, in particular her 12-year-old son Reagan. I would urge anyone with information about what has happened, or knows where Connolly and Qayum are, to do the right thing – please come forward and speak to police immediately.
“We will not stop in our efforts to find both men and I would urge the public to help us find those responsible for this brutal and callous attack.”
Anyone with information should contact police on 101 quoting log 0915 of November 20th or through the Major Incident Portal at mipp.police.uk/operation/0401020119E09-PO1
You can also contact independent charity Crimestoppers on 0800 555 111 anonymously.


BACKGROUND
Alcohol is a liquid containing ethanol which can be made by fermenting sugar with yeast. It acts as a depressant and may be used in solutions such as preservatives, antiseptics, or medications.
Alcohol
Alcohol is a liquid containing ethanol which can be made by fermenting sugar with yeast. It acts as a depressant and may be used in solutions such as preservatives, antiseptics, or medications.


Firmly entrenched in a Zoom world, the twenty-four of us came together to dive headfirst into data
analytics on January 19, 2021. We came from many places and backgrounds, all of us looking for a new
career direction in an economy suffering through a pandemic. Fifteen weeks later, we leave with a
working knowledge of Excel, SQL, Power BI, Tableau, Python, etc. – along with a mastery of how Zoom
works. Now we are all excited to head off into the wide world of data and meet interesting questions,
people, and puzzles.
NSS Staff
The staff at Nashville Software School was incredible – from wonderful technical development to
mentoring us through a new, and sometimes difficult, learning environment. Without even stepping on
the NSS campus, we received some of the best school experiences we have ever had. From top to
bottom, the school cares –about running a worthy operation, about offering a great and useful
education, about being a part of a serving the greater community, and about helping their students find
jobs.
At Nashville Software School, we thank the following:
- John Wark – it all starts at the top, and nothing would have happened without him.
- Mary van Valkenburg – program manager and visionary; a positive presence there to ask the
tough questions and help guide us when the questions were really tough.
- Mahesh Rao - our class was quick to form a productive, helpful, and fun community,
and credit for that goes to Mahesh –helpful and positive, the smartest person in the room (and beyond),
tolerant of irreverent Zoom chats, and more patient than any teacher should be.
- Cristina Attfield and Chris Wright – Our teaching assistants were absolutely awesome; they
nurtured our creativity and independence while also supporting us during our setbacks, both
Christina and Chris were frank, firm, friendly, and fair (the 4Fs of outstanding leadership) and
extremely helpful in relating to our situation.
- Marla Lamont, Ashley Canino, Julie Heckler, Kristin McKinney – all tasked with helping us with
resumes, Linkedin pages, mock interviews, real interviews, and finding actual jobs; we could not
have translated our skills into marketable powerhouses without their help.
- Mandy Arola, Jessica Grande, Jeremiah Vasquez – for getting us enrolled and keeping us from
falling through the cracks – especially backing us up on Tableau and any other foreseeable
situations gaining access.
- Sekou Tyler – for showing us how a master works with Power BI and Tableau and the
visualization summit that we, too, can reach with a little bit of drive and creativity.
Round Table
At the beginning of March, we were fortune to engage with people in the data analytics world and hear
their stories at our Roundtable event.
For taking time out of their schedule to participate in the event, we thank the following:
- Amanda Cotton-Ferrer
- Ann Rumsey
- Ben Hummel
- Ben Shuler
- Branden Dahlem
- Chris Mulvey
- Lori Butler
- Mark Koivula
- Matt Settersten
- Nadia Roumanos
- Paul Rowland
- Rachael Abram
- Ross Dingwall
- Sarah Weatherby
- Tito Amoguis
- Willis Kelley
Leadership Panel
We thank the three industry insiders who took part in our November
Leadership Panel and shared their knowledge of the data analytics world:
- Aaron Mock, Sr. VP of Operations, Ursa Healthcare
- Matthias Mueller, Director of Marketing Analytics, Campaign Monitor
- Stephen Gabor, Director of PLM and Analytics Solutions, A.O. Smith Corporation
Mock Interviews
Our Mock Interviews at the end of March allowed us to get practice interviewing for real jobs by the
employers who hire data analysts. Over twenty local companies and organization were represented, and
the interviews would not have happened without the participation of the following people:
- Aaron Mock
- Alexander Antonison
- Ben Shuler
- Ben Hummel
- Britnee Foreman
- Charles Lindquist
- Ed Pearson
- Ed Hickey
- Jim Dehner
- John Irvin
- Jose Rivera
- Kat Albert
- Katherine Delgado
- Knight Stivender
- Lauren Atkins
- Matt Berns
- Matt Hoty
- Mikil Taylor
- Nadia Roumanos
- Pete Brumm
- Rachel Mitchell
- Ron Balcarras
- Ryan O’Connell
- Simon Kingaby
- Travis Hampton
- Travis Self
Sharing Analysis Projects
We thank the following for coming to our class and allowing us to work with their data on real world issues:
- Peter Bird, Former Metro Planning Active Transportation Planner for Nashville Metro
- Katherine Delgado and Ben Shuler of Family and Children’s Services
Thank You!
Thank you so much to each and every one of you for supporting our class!
Thanks to everyone involved, we leave the Data Analytics Bootcamp
with fond memories, new skills, and all the tools necessary for a bright future.


This example uses 3 HTML elements:
2 button elements with ids of prev and next. These will be the buttons users click to navigate between images
1 image element. This will display the current image
We store all image paths in an array called images.
We create a variable imageIndex to keep track of which image in the array we are currently displaying.
We add a click event handler to each button that changes the image when the button is clicked.
When the prev button is clicked, we decrement the image index. When the image index hits 0, we jump back up to the highest index.
When the next button is clicked, we increment the image index. When the index hits the highest index, we jump back down to


Hello world!
In this example. In this example. In this example. In this example. In this example.
In this example. In this example. In this example. In this example. In this example.


Deuteronomy 1:37
Also the LORD was angry with me for your sakes, saying, Thou also shalt not go in thither.


Star Wars-Themed Samsung Galaxy Note 10+ Launches In December
by Shabana ArifSamsung has unveiled its Star Wars: The Rise of Skywalker Galaxy Note 10+ ahead of the film's release on December 19.
The black handset sports the red detailing — which extends to the S Pen — and includes a specially-designed case with a metal badge. It screams Dark Side, and may just lure you over if you have the cash. It drops in the U.S. on December 13 with a price tag of $US1,299.99.
The phone is set for release here in the Australia at some point, but a date and price has yet to be confirmed. If we work on the assumption of a straight conversion, that puts the cost in the ballpark of nearly $2000, but it's likely the price will be bumped up somewhat.
Samsung also dropped an ad to accompany the new colourway, but the actual phone is nowhere to be seen. There is, however, a Chewie dog and a cat intent on turning the kid in the advert to the dark side, so that's fun
This post originally appeared on Gizmodo UK, which is gobbling up the news in a different timezone.


Fulfulde Latin (QWERTY) keyboard developed for use for the Adamawa Fulfulde, Maasina Fulfulde, Nigerian Fulfulde, Pular, Pulaar, and Western Niger Fulfulde languages.
© SIL International


VR is a world that looks real...
but it's generated by a computer
and you can create it!
Let's start from the basics...
do you know these shapes?
These are all "2D" shapes
Hold on, what does 2D mean?
two-dimensional: width and height
they are "flat" shapes
Enter the magic world of
3D means: three-dimensional
width, height AND depth
now the fun bit...
With all these 3D shapes we can create
Our own VIRTUAL WORLD!
WebVR is a technology that makes it possible to experience VR on your computers and phones
well actually, your mums' and dads' phones :)
let's see how it looks
we can do something more complex
we can use tools to create our worlds (a bit like minecraft)
and we can add interactions (a lot like minecraft!)
how do we enter these virtual worlds?
we can trick our mind that depth is real by using...
Stereoscopy!
Most stereoscopic methods present two offset images separately to the left and right eye of the viewer.
These two-dimensional images are then combined in the brain to give the perception of 3D depth.
to make stereoscopy
on our phones
we can use
a piece of carboard
and 2 lenses
you can make your own
or buy them already made


All Packages Class Hierarchy This Package Previous Next Index
Class BIT.highBIT.Routine
java.lang.Object
|
+----BIT.highBIT.Routine
- public class Routine
- extends Object
Contains information about a method within a Java .class file.
- See Also:
- ClassInfo, Method_Info
-
basic_blocks
- Bytecodes (code) broken into a number of basic blocks in an array.
-
classinfo
-
-
code
- Actual array containing the bytecodes.
-
code_length
-
Length of the code in bytes of this method.
-
constant_pool
-
-
descriptor
- Descriptor for this method.
-
instructions
- Bytecodes (code) broken into a number of instructions in an array.
-
max_locals
- Maximum number of locals for this method.
-
max_stack
-
Maximum stack size for this method.
-
method
-
Method information in classFile package.
-
method_name
-
Name of this method.
-
modified_basic_blocks
-
-
modified_instructions
-
This is the Vector to hold the modified code.
-
Routine(Method_Info, Cp_Info[], ClassInfo)
-
Creates a new Routine class which breaks down methods into
more easily manageble entities.
-
addAfter(String, String, Object)
-
-
addBefore(String, String, Object)
-
-
addConstantPoolEntry(Cp_Info)
-
-
adjInstrOffsets(int, int, boolean)
-
-
adjModifiedBasicBlocks(int, int, boolean)
- Modifies the modified_basic_block array so that it reflects changes in the
modified_instructions array.
-
adjOffsets(int, int, boolean)
-
-
existBasicBlockStart(int)
-
-
getAccessFlags()
- Returns this method's access flags.
-
getBasicBlockCount()
- Returns the number of basic blocks in this method.
-
getBasicBlocks()
- Returns the array of basic blocks.
-
getClassName()
-
-
getCode()
- Returns code buffer (actual bytecode) uninterpreted.
-
getCodeLength()
-
Returns the length of the code array (actual bytecode).
-
getConstantPool()
-
-
getDescriptor()
- Returns the descriptor of this method.
-
getInstruction(int)
-
-
getInstructionArray()
- Returns the InstructionArray.
-
getInstructionCount()
- Returns the number of instuctions in this method.
-
getInstructions()
- Returns the array of instructions.
-
getLineNumber(int)
-
-
getMaxLocals()
- Returns maximum number of locals for this method.
-
getMaxStack()
- Returns maximum stack size for this method.
-
getMethodName()
- Returns the name of this method.
-
getTempBasicBlock(int)
-
-
getTempBasicBlocks()
- Returns the vector of basic blocks.
-
getTempBasicBlockStart()
-
-
inBasicBlock(int)
- Returns index of basic block that contains (between start and end address) the
specified address.
-
indexInConstantPool(Cp_Info)
-
-
indexOfBasicBlock(int)
- Returns index of basic block that starts at specified start_address.
-
indexOfInstruction(int)
- Returns the index of instruction that starts at specified offset in code buffer.
-
isAbstract()
- Returns true if this method was declared to be abstract.
-
isFinal()
- Returns true if this method was declared to be final.
-
isNative()
- Returns true if this method was declared to be native.
-
isPrivate()
- Returns true if this method was declared to be private.
-
isProtected()
- Returns true if this method was declared to be protected.
-
isPublic()
- Returns true if this method was declared to be public.
-
isStatic()
- Returns true if this method was declared to be static.
-
isSynchronized()
- Returns true if this method was declared to be synchronized.
-
setConstantPool(Cp_Info[])
-
-
writeReady()
-
method
protected Method_Info method
- Method information in classFile package.
- See Also:
- Method_Info
classinfo
protected ClassInfo classinfo
method_name
protected String method_name
- Name of this method.
It gets filled in when the constructor is called.
One can read this value by calling getMethodName() method.
- See Also:
- getMethodName
descriptor
protected String descriptor
- Descriptor for this method.
It gets filled in when the constructor is called.
One can read this value calling getDescriptor() method.
- See Also:
- getDescriptor
max_stack
protected short max_stack
- Maximum stack size for this method.
It gets filled in when the constructor is called.
One can read this value by calling getMaxStack() method.
- See Also:
- getMaxStack
max_locals
protected short max_locals
- Maximum number of locals for this method.
It gets filled in when the constructor is called.
One can read this value by calling getMaxLocals() method.
- See Also:
- getMaxLocals
code_length
protected int code_length
- Length of the code in bytes of this method.
One can read this value by calling getCodeLength() method.
- See Also:
- getCodeLength
code
public byte code[]
- Actual array containing the bytecodes.
This is an array of byte that represent the bytecodes of this method.
One can read this value by calling getCode() method.
- See Also:
- getCode
instructions
public InstructionArray instructions
- Bytecodes (code) broken into a number of instructions in an array.
Each element in this array is a valid Java Virtual Machine
instruction. Each instruction contains the opcode and any
operands.
- See Also:
- Instruction, getInstructions, InstructionArray
modified_instructions
public Vector modified_instructions
- This is the Vector to hold the modified code.
basic_blocks
public BasicBlockArray basic_blocks
- Bytecodes (code) broken into a number of basic blocks in an array.
Each element in this array is a basic block having one entry point
and one exit point.
- See Also:
- BasicBlockArray, getBasicBlocks
modified_basic_blocks
public BasicBlockArray modified_basic_blocks
constant_pool
public Cp_Info constant_pool[]
Routine
public Routine(Method_Info method,
Cp_Info constant_pool[],
ClassInfo classinfo)
- Creates a new Routine class which breaks down methods into
more easily manageble entities.
The only attribute that it looks at is the "Code" attribute.
- Parameters:
- method - the method to be analyzed
- constant_pool - the constant pool for the .class file
- See Also:
- Method_Info, Cp_Info
getLineNumber
public int getLineNumber(int pc)
addBefore
public void addBefore(String classname,
String methodname,
Object arg)
addAfter
public void addAfter(String classname,
String methodname,
Object arg)
adjInstrOffsets
public void adjInstrOffsets(int start,
int size,
boolean before)
adjOffsets
public void adjOffsets(int start,
int size,
boolean before)
adjModifiedBasicBlocks
public void adjModifiedBasicBlocks(int affected_start,
int offset,
boolean before)
- Modifies the modified_basic_block array so that it reflects changes in the
modified_instructions array.
indexOfInstruction
public int indexOfInstruction(int offset)
- Returns the index of instruction that starts at specified offset in code buffer.
If not found, return -1.
existBasicBlockStart
public boolean existBasicBlockStart(int address)
indexOfBasicBlock
public int indexOfBasicBlock(int start_address)
- Returns index of basic block that starts at specified start_address.
If not found, return -1.
inBasicBlock
public int inBasicBlock(int address)
- Returns index of basic block that contains (between start and end address) the
specified address. Otherwise, return -1.
getInstruction
public Instruction getInstruction(int index)
getTempBasicBlock
public BasicBlock getTempBasicBlock(int index)
writeReady
public void writeReady()
getAccessFlags
public short getAccessFlags()
- Returns this method's access flags.
isPublic
public boolean isPublic()
- Returns true if this method was declared to be public.
isPrivate
public boolean isPrivate()
- Returns true if this method was declared to be private.
isProtected
public boolean isProtected()
- Returns true if this method was declared to be protected.
isStatic
public boolean isStatic()
- Returns true if this method was declared to be static.
isFinal
public boolean isFinal()
- Returns true if this method was declared to be final.
isSynchronized
public boolean isSynchronized()
- Returns true if this method was declared to be synchronized.
isNative
public boolean isNative()
- Returns true if this method was declared to be native.
isAbstract
public boolean isAbstract()
- Returns true if this method was declared to be abstract.
getMethodName
public String getMethodName()
- Returns the name of this method.
getDescriptor
public String getDescriptor()
- Returns the descriptor of this method.
getCodeLength
public int getCodeLength()
- Returns the length of the code array (actual bytecode).
getCode
public byte[] getCode()
- Returns code buffer (actual bytecode) uninterpreted.
getMaxStack
public short getMaxStack()
- Returns maximum stack size for this method.
getMaxLocals
public short getMaxLocals()
- Returns maximum number of locals for this method.
getInstructions
public Instruction[] getInstructions()
- Returns the array of instructions.
- See Also:
- Instruction
getInstructionArray
public InstructionArray getInstructionArray()
- Returns the InstructionArray.
- See Also:
- InstructionArray
getInstructionCount
public int getInstructionCount()
- Returns the number of instuctions in this method.
getBasicBlocks
public BasicBlockArray getBasicBlocks()
- Returns the array of basic blocks.
- See Also:
- BasicBlockArray
getTempBasicBlocks
public Vector getTempBasicBlocks()
- Returns the vector of basic blocks.
- See Also:
- Vector
getTempBasicBlockStart
public Vector getTempBasicBlockStart()
getBasicBlockCount
public int getBasicBlockCount()
- Returns the number of basic blocks in this method.
indexInConstantPool
public short indexInConstantPool(Cp_Info cp)
addConstantPoolEntry
public short addConstantPoolEntry(Cp_Info entry)
setConstantPool
public void setConstantPool(Cp_Info cps[])
getConstantPool
public Cp_Info[] getConstantPool()
getClassName
public String getClassName()
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--- layout: default layout_keyword: knowledge_base_page title: Add, move or remove group members tags: group_admin_pages left_col_section_nav: [admin_user_nav] user_help_videos: [admin_user_videos] ---
As a group administrator, you can easily add, move or remove members in your groups using your Manage Members tools.
To add, move or remove members in groups, go to the top level group page.More Tools > Group Settings in your Group Toolbox.
Members of your top level group display automatically.
You can refine your search to display members of any subgroup, and select which roles and fields you wish to display. Select the desired options and click Search.
NOTE: If you don’t see the group you were looking for you may not have selected a high enough group level.
Click the checkbox next to the members you want to change.
To add members to groups, select Add member(s) to group(s) from the pulldown menu.
Members added to groups will remain in any group of which they were already a member.
Click Execute.
To move members from one group to another, select Move member(s) to group(s) from the pulldown menu.
Click Execute.
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Road and bridge projects are expected to make up one of the biggest chunks of the jobs created in the stimulus package. Below, you’ll find a chart of more than 5,800 projects that have been approved by the U.S. Department of Transportation. Once given the green light, states can put the projects out to bid, contract them and begin construction work. So far, about 2,300 projects are under way.
Help us find out how much progress has been made on these projects by participating in our Stimulus Spot Check.
For more on the stimulus, check out our blog and resource page.
| State | Urban Area | Project Description | Improvement Type | ARRA Funds Obligated |
|---|---|---|---|---|
| INDIANA | INDIANAPOLIS | I-465 - NB ramp over Big Eagle Creek | Bridge Replacement | $2,373,248 |
| INDIANA | INDIANAPOLIS | I-465 - US 136 ramps SB over Big Eagle Creek | Bridge Replacement | $2,457,379 |
| INDIANA | US 231 - 2.87 miles S of S jct with SR 32 | Pavement Improvement | $54,455 | |
| INDIANA | BLOOMINGTON | SR 45, ADDED TRAVEL LANES, FROM KINSER PIKE TO PETE ELLIS DRIVE, MONROE COUNTY, SIR-29982 | Pavement Widening | $20,663,954 |
| INDIANA | SR 44 - From I-65 to the WCL of Shelbyville | Pavement Widening | $13,291,724 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | From SR 152 to SR 912 | Pavement Improvement | $1,659,674 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR 149 - From jct SR 130 to jct US 20 | Pavement Improvement | $1,362,731 |
| INDIANA | SOUTH BEND (MI) | SR 23, HMA OVERLAY, FROM 0.46 MI N OF SR 4 TO OLIVE STREET, ST. JOSEPH COUNTY, SRS-30083 | Pavement Improvement | $1,593,244 |
| INDIANA | US 35 - From SR 14 to SR 10 | Pavement Improvement | $1,407,323 | |
| INDIANA | US 24 - From N jct of US 35 to S jct of US 35, continuing on SR 29 to Burlington Ave | Pavement Improvement | $1,651,220 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | From US 30 to Ridge Road | Pavement Improvement | $2,745,750 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US 41, HMA OVERLAY, FROM US 231 TO 77TH AVENUE, LAKE COUNTY, SRS-30343 | Pavement Improvement | $1,735,000 |
| INDIANA | SR 53 - From 93rd Ave to S of 73rd Ave | Pavement Improvement | $1,148,580 | |
| INDIANA | US 50, SLIDE CORRECTION, 1.33 MI N OF S JCT OF SR 37 (0.25 MI N OF E FORK WHITE RIVER BRIDGE), LAWRENCE COUNTY, SR-30408 | Safety/Traffic Management | $162,684 | |
| INDIANA | I-69 - Hursh Road over I-69, 9.7 miles S of SR 8 | Bridge Improvement | $326,971 | |
| INDIANA | I-69 - NB Bridge over Wabash River, 0.83 miles S of US 224 | Bridge Improvement | $1,452,773 | |
| INDIANA | I-69 - Various locations along I-69 median in Dekalb County | Safety/Traffic Management | $378,654 | |
| INDIANA | I-70 - Various locations in Vigo, Hendricks and Morgan counties | Safety/Traffic Management | $1,157,982 | |
| INDIANA | I-74 - Various locations | Safety/Traffic Management | $560,763 | |
| INDIANA | I-65, INSTALL NEW GUARDRAIL, AT VARIOUS LOCATIONS ON I-65, CLARK, JACKSON, JOHNSON AND SHELBY COUNTIES, ST-30307 | Safety/Traffic Management | $3,843,690 | |
| INDIANA | I-64, INSTALL NEW GUARDRAIL, VARIOUS LOCATIONS, FLOYD COUNTY, ST-30307 | Safety/Traffic Management | $360,553 | |
| INDIANA | I-265, INSTALL NEW GUARDRAIL, VARIOUS LOCATIONS, CLARK AND FLOYD COUNTIES, ST-30307 | Safety/Traffic Management | $545,979 | |
| INDIANA | INDIANAPOLIS | From 3.23 miles N of I-74 to 5.12 miles N of I-74 | Pavement Improvement | $1,500,500 |
| INDIANA | SR 56, HMA OVERLAY, FROM ODAY ROAD TO RIO VISTA LANE, SWITZERLAND COUNTY, SRS-29543 | Pavement Improvement | $2,814,000 | |
| INDIANA | SR 58 - From N jct with SR 67 to SR 57 | Pavement Improvement | $886,583 | |
| INDIANA | US 231, REPAIR PCCP AND HMA OVERLAY, FROM 0.16 MI N OF US 136 (NORTH ST) TO 0.52 MI N OF I-74, MONTGOMERY COUNTY, SRS-31503 | Pavement Improvement | $3,436,552 | |
| INDIANA | US 31 - From SR 56 to SR 250 | Pavement Improvement | $1,632,948 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | Various - At various locations in Lake and Marshall Counties | Safety/Traffic Management | $369,391 |
| INDIANA | SR 9, SURFACE TREATMENT, FROM .53 MI N OF I-70 (CR 300N) TO US 36/SR 67, HANCOCK AND MADISON COUNTIES, SRS-29872 | Pavement Improvement | $1,556,750 | |
| INDIANA | SR 3 - From S jct with SR 7 S of Vernon to US 50 | Pavement Improvement | $561,484 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | Various -At various locations in Lake and Porter Counties | Safety/Traffic Management | $283,824 |
| INDIANA | US 40, SURFACE TREATMENT, FROM 0.88 MI W OF SR 9 (MONROE ST) TO 2.25 MI E OF SR 9 (CR 400E), HANCOCK COUNTY, SRS-30147 | Pavement Improvement | $820,500 | |
| INDIANA | US 31 - NB Bridge over abandoned CSX RR, 1.19 miles S of US 24 | Bridge Replacement | $308,238 | |
| INDIANA | US 31 - SB Bridge over adandoned CSX RR, 1.19 miles S of US 24 | Bridge Replacement | $729,285 | |
| INDIANA | I-65 - From 0.2 mi N of US 52 to 5.86 mi S of SR 28 | Pavement Improvement | $4,275,409 | |
| INDIANA | SR 37 - From 1.32 mi S of SR 60 S jct to 0.97 mi N of SR 60 N jct | Pavement Improvement | $398,921 | |
| INDIANA | INDIANAPOLIS | US 31, HMA OVERLAY, FROM N JCT OF SR 252 TO YOUNGS CREEK BRIDGE, JOHNSON COUNTY, SRS-30035 | Pavement Improvement | $1,875,699 |
| INDIANA | SR 56 - From district line to Highland Creek Bridge | Pavement Improvement | $1,045,317 | |
| INDIANA | SR-54 - SR 58 to SR 37 | Pavement Improvement | $880,920 | |
| INDIANA | SR 61 - From 0.81 mi N of SR 62 to 0.02 mi S of SR 68 | Pavement Improvement | $1,654,900 | |
| INDIANA | SR 1, HMA OVERLAY, FROM SR 427 TO US 20, STEUBEN COUNTY, SRS-30449 | Pavement Improvement | $1,451,671 | |
| INDIANA | From S jct with SR 61 to SR 257 | Pavement Improvement | $1,297,838 | |
| INDIANA | LOUISVILLE (KY)-IN | Twin structures over Blue River and Blue Road, 4.08 miles W of SR 337 | Bridge Improvement | $561,750 |
| INDIANA | ELKHART-GOSHEN | SR 19, HMA OVERLAY, FROM 3.1 MI S (MAGNOLIA AVE) OF I-80/90 TOLL ROAD TO I-80/90 TOLL ROAD, ELKHART COUNTY, SRS-30300 | Pavement Improvement | $1,862,644 |
| INDIANA | US 231, TRAFFIC SIGNAL MODERNIZATION, AT SR 32/SR 47 (SOUTH BLVD), MONTGOMERY COUNTY, STM-31123 | Safety/Traffic Management | $25,049 | |
| INDIANA | SR 26, HMA OVERLAY, FROM 0.84 MI E OF SR 3 (LITTLE LICK CREEK) TO SR 167, BLACKFORD COUNTY, SRS-30381 | Pavement Improvement | $871,676 | |
| INDIANA | From SR 13 to I-69 | Pavement Improvement | $947,773 | |
| INDIANA | KOKOMO | US 31, NEW BRIDGE CONSTRUCTION, OVER CANON-GOYER DITCH, 0.32 MI S OF CR 100S (E BLVD), HOWARD COUNTY, SIR-30106 | New Bridge Construction | $774,131 |
| INDIANA | From SR 29 to 11.48 miles E of SR 29 | Pavement Improvement | $1,766,854 | |
| INDIANA | 11 miles W of Corydon (Rothrock Mill Bridge Relocation) | Transportation Enhancements | $144,902 | |
| INDIANA | US 24 - Between CR 300E and CR 425E | Pavement Improvement | $394,030 | |
| INDIANA | SR 15 - From 3.02 miles S of US 30 (Kincaid St to 2.02 miles S of US 30 (Market Street | Pavement Improvement | $357,828 | |
| INDIANA | SR 9 - N&S of SR 8 and on SR 8 from SR 9 in Albion | Pavement Improvement | $557,627 | |
| INDIANA | SR 145 - From 1.6 miles N to 9.8 miles N of SR 1 | Pavement Improvement | $261,166 | |
| INDIANA | SR 164 - From US 231 to 0.47 mi E of US 231 | Pavement Improvement | $186,935 | |
| INDIANA | SR-62 - IL/IN State line to 1.96 miles E SR 69 | Pavement Improvement | $2,480,000 | |
| INDIANA | US-50 - 4.09 mile E of SR 37 to jct with SR 446 | Pavement Improvement | $939,387 | |
| INDIANA | ELKHART-GOSHEN | US 6, HMA OVERLAY, FROM 1.26 MI E OF SR 19 TO SR 15, ELKHART COUNTY, SRS-30768 | Pavement Improvement | $979,866 |
| INDIANA | US-24 - From SR 9 (W jct) to 1.66 miles E of SR 9 (W jct) | Pavement Improvement | $3,410,000 | |
| INDIANA | SR-227 - From CSX R/R to US 27 | Pavement Improvement | $514,000 | |
| INDIANA | US-27 - Fr. 1.12 miles N of I-70 at E fk of Whtwtr Rv to 5.71mi N of I-70 at Fountain Ci | Pavement Improvement | $1,360,000 | |
| INDIANA | FORT WAYNE | I -69 - At Airport Expressway / Lower Huntington Road interchange | Safety/Traffic Management | $110,000 |
| INDIANA | US 36, SURFACE TREATMENT PM, FROM 3.67 MILES W OF SR 3 TO W RAMPS OF SR 3 IN HENRY COUNTY, SRS-30817 | Pavement Improvement | $813,959 | |
| INDIANA | US-27 - Fr 1.06 mi S of SR 26(Williamson Ln) to 1.53 N of SR 26 to CR 100N | Pavement Improvement | $789,500 | |
| INDIANA | Various - Various locations within the Crawfordsville District | Bridge Improvement | $469,784 | |
| INDIANA | On US 35 from 1.65 miles E of SR 15 (10th St) to 0.24 miles E of I-69 and on SR 22 | Pavement Improvement | $743,435 | |
| INDIANA | US 31 - 4.11 mi N of SR 250 | Pavement Improvement | $171,135 | |
| INDIANA | SR 10 - From SR 49 to US 421 | Pavement Improvement | $359,177 | |
| INDIANA | SOUTH BEND (MI) | SR 17 - From Olive Trail to LaPorte Street in Plymouth | Pavement Improvement | $324,983 |
| INDIANA | SR 23 - From SR 8 to US 30 | Pavement Improvement | $275,568 | |
| INDIANA | SR 16 - Various locations from US 231 and US 421 | Pavement Improvement | $508,298 | |
| INDIANA | SR 25 - From 0.57 mile W of SR 15 (Walnut Creek bridge) to SR 15 | Pavement Improvement | $169,077 | |
| INDIANA | COLUMBUS | SR 11 - At CR 450S | Safety/Traffic Management | $43,109 |
| INDIANA | INDIANAPOLIS | I-70, ITS COMMUNICATION SYSTEMS, FROM NORTH SPLIT TO INDOT INDIANAPOLIS TMC (FIBER OPTICS), MARION COUNTY, ST-31889 | Safety/Traffic Management | $714,614 |
| INDIANA | SR-245 - Jct with SR 70 to 3.50 miles S of SR 162 | Pavement Improvement | $682,824 | |
| INDIANA | SR-161 - Ky State Line to SR 66 | Pavement Improvement | $1,956,053 | |
| INDIANA | SR-168 - US 41 to SR 57 | Pavement Improvement | $1,986,397 | |
| INDIANA | SR-69 - 2.48 mi S of W jct with SR 66 to 0.1 mi N of I-64 | Pavement Improvement | $1,765,000 | |
| INDIANA | LAFAYETTE-WEST LAFAYETTE | SR 43 - From 1.93 mi N of I-65 NBL to 0.60 mi S of SR 18 (Moots Creek Br) | Pavement Improvement | $466,983 |
| INDIANA | I -70 - Various bridges in Wayne County (See project log) | Bridge Improvement | $386,000 | |
| INDIANA | US-24 - 1.66 Miles E of SR 9 E jct (Meridian Rd) to 0.75 Miles E of SR 114 | Pavement Improvement | $3,540,000 | |
| INDIANA | FORT WAYNE | US 24 - From 0.74 miles E of SR 114 to 0.54 mile W of U-69 | Pavement Improvement | $666,980 |
| INDIANA | Various - Various locations within the LaPorte District | Safety/Traffic Management | $249,489 | |
| INDIANA | I-64 - 0.96 mile E of SR 161 | Pavement Improvement | $117,803 | |
| INDIANA | I-64 - From 4.92 mile E of I-164 to .78 mile W of SR 66 | Pavement Improvement | $139,519 | |
| INDIANA | PROGRESS PARKWAY, SEWER/CURB/GUTTER CONSTRUCTION, FROM SR 9 TO AMOS ROAD, PHASE III, SHELBY COUNTY, SR-31881 | New Construction | $1,002,320 | |
| INDIANA | POKAGON/TRINE STATE PARK, ENVIRONMENTAL MITIGATION, 500' N OF SR 127 AND I-69 ON CR N50W, STEUBEN COUNTY, SR-31736 | Other | $92,975 | |
| INDIANA | SR 55, BRIDGE PAINTING, 0.03 MI N OF US 41 OVER BIG PINE CREEK, WARREN COUNTY, SB-31912 | Bridge Improvement | $203,000 | |
| INDIANA | INDIANAPOLIS | US 31 - Young's Creek Bridge to Westview Dr | Pavement Improvement | $729,733 |
| INDIANA | SR 28, SURFACE TREATMENT, FROM 0.01 MI E OF US 52 E JCT TO 0.07 MI W OF CR 800W, TIPPECANOE & CLINTON COUNTIES, SRS-31814 | Pavement Improvement | $253,804 | |
| INDIANA | SR 243 - From I-70 WB ramps to 0.01 mile S of US 40 | Pavement Improvement | $650,935 | |
| INDIANA | US 421 - From Michigan Road to Jefferson/Ripley County Line | Pavement Improvement | $652,310 | |
| INDIANA | SR 7 - From Industrial Drive to County Road 480N | Pavement Improvement | $229,304 | |
| INDIANA | SR 46 - From SR 446 to SR 135 | Pavement Improvement | $1,784,928 | |
| INDIANA | SR 258, HMA OVERLAY, FROM SR 58 TO ELM STREET, JACKSON COUNTY, SRS-31806 | Pavement Improvement | $1,224,336 | |
| INDIANA | SR 7 - From 1.52 miles N of Clifty Creek Drive to SR 3 | Pavement Improvement | $1,696,103 | |
| INDIANA | SR 250, HMA OVERLAY, FROM SR 3 TO SR 7, JEFFERSON AND JENNINGS COUNTIES, SRS-31807 | Pavement Improvement | $825,077 | |
| INDIANA | US 31, SURFACE TREATMENT, FROM THE FULTON/MIAMI COUNTY LINE TO OLD US 31, FULTON COUNTY, SRS-31875 | Pavement Improvement | $487,095 | |
| INDIANA | US 35, SURFACE TREATMENT, THROUGH THE TOWN OF KNOX, STARKE COUNTY, SRS-31876 | Pavement Improvement | $336,256 | |
| INDIANA | From 0.35 mile E of Wabash River to 1.28 mile E of Wabash River | Pavement Improvement | $585,686 | |
| INDIANA | VARIOUS LOCATIONS, PAVEMENT MARKINGS, IN THE LAPORTE DISTRICT, ST-31880 | Safety/Traffic Management | $346,986 | |
| INDIANA | City of Delphi Canal Park | Transportation Enhancements | $356,197 | |
| INDIANA | US 421 - Over Little Monon Creek (McKillip Dtich), 1.16 km S of SR 16 | Bridge Replacement | $668,112 | |
| INDIANA | ANDERSON | SR-32 - At Rangeline Rd, 0.72 mile E of SR 9 | Pavement Improvement | $1,887,300 |
| INDIANA | SR 44 - 6.4 miles E of Johnson/Shelby county line over Roberts Ditch | New Bridge Construction | $252,212 | |
| INDIANA | I-64 - Various locations in Posey, Vanderburgh and Spencer counties | Pavement Improvement | $727,204 | |
| INDIANA | US 52, HMA OVERLAY, FROM US 231 (W JCT) TO 5.40 MI E OF W JCT OF US 231 (CUMBERLAND AVE), TIPPECANOE COUNTY, SRS-31918 | Pavement Improvement | $3,816,214 | |
| INDIANA | PROGRESS PARKWAY, NEW ROAD CONSTRUCTION, FROM AMOS ROAD TO 500' S OF MCKAY ROAD, PHASE IIIB, SHELBY COUNTY, SR-31881 | New Construction | $2,607,823 | |
| INDIANA | US 41, SURFACE TREATMENT, FROM US 24 TO SR 114, NEWTON COUNTY, SRS-31919 | Pavement Improvement | $1,973,247 | |
| INDIANA | SR 106, SURFACE TREATMENT, FROM US 6 TO US 6 THROUGH BREMEN, MARSHALL COUNTY, SRS-31920 | Pavement Improvement | $517,285 | |
| INDIANA | US 6, SURFACE TREATMENT, FROM US 31 TO 0.6 MI W OF THE W JCT WITH SR 106, MARSHALL COUNTY, SRS-31921 | Pavement Improvement | $418,872 | |
| INDIANA | IR-1001 - On Old US-52 from IR-74 to West Harrison Corporate Limits | Pavement Improvement | $578,000 | |
| INDIANA | IR-1001 - York Ridge Road from SR-1 to North Dearborn Road | Pavement Improvement | $954,000 | |
| INDIANA | WEISBURG ROAD, HMA OVERLAY, FROM SR 48 TO NORTH DEARBORN ROAD, DEARBORN COUNTY, SRS-31993 | Pavement Improvement | $772,000 | |
| INDIANA | IR-1001 - N Hogan Road from SR-350 to Hogan Hill Road | Pavement Improvement | $371,825 | |
| INDIANA | IR-1001 - on North Dearborn from Ripley CL to SR-1 | Pavement Improvement | $258,320 | |
| INDIANA | TERRE HAUTE | I-70, PIPE LINING, 0.10 MI E OF SR 46, VIGO COUNTY, SR-31937 | Safety/Traffic Management | $577,500 |
| INDIANA | INDIANAPOLIS | I-465/ I-65/ I-70/I-74, ITS COMMUNICATIONS SYSTEMS, CCTV CAMERA LOWERING DEVICES, BOONE/ HAMILTON/ HENDRICKS/ MARION CTY, ST-31945 | Other | $475,935 |
| INDIANA | SR 25, NEW BRIDGE CONSTRUCTION, OVER SUGAR CREEK (SB), SEGMENT 1-PHASE B, TIPPECANOE COUNTY, SIR-30843 | New Bridge Construction | $1,408,414 | |
| INDIANA | SR 25, NEW BRIDGE CONSTRUCTION, OVER NO NAME CREEK (SB), SEGMENT 1-PHASE B, TIPPECANOE COUNTY, SIR-30843 | New Bridge Construction | $530,747 | |
| INDIANA | SR 25, NEW BRIDGE CONSTRUCTION, OVER BRIDGE CREEK (SB), SEGMENT 1-PHASE B, TIPPECANOE COUNTY, SIR-30843 | New Bridge Construction | $734,551 | |
| INDIANA | SR 25, NEW BRIDGE CONSTRUCTION, OVER CR 900N (SB), SEGMENT 1-PHASE B, TIPPECANOE COUNTY, SIR-30843 | New Bridge Construction | $893,653 | |
| INDIANA | ST-1001 - Ridge Ave. from Decker Ave to Robinson Avenue | Pavement Improvement | $145,000 | |
| INDIANA | SR 10, HMA OVERLAY, FROM US 35 (E JCT) TO SR 23, STARKE COUNTY, SRS-31951 | Pavement Improvement | $2,350,000 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | I -94 - from 1.5 mi E of I-65 to ramps at SR 51, I-90 and SR 249 (MM13.1 to MM19) | Pavement Improvement | $130,448 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-20 - from SR 912 to Bridge Street | Pavement Improvement | $61,884 |
| INDIANA | SR 44 - 1.05 miles E of I-65 over Amity Ditch | New Bridge Construction | $242,787 | |
| INDIANA | I -64 - Section 29 Rd (CR 211) over I-64 | Bridge Improvement | $715,000 | |
| INDIANA | US-41 - US 41 NBL over Main Street Rd | Bridge Improvement | $574,379 | |
| INDIANA | US-41 - US 41 SBL over Main Street Rd | Bridge Improvement | $535,621 | |
| INDIANA | SR-157 - SR 157 over White River | Bridge Improvement | $2,781,849 | |
| INDIANA | US-231 - US 231 over Fish Creek | Bridge Improvement | $988,152 | |
| INDIANA | SR-124 - On SR 124, over Brook Creek, 1.65 Miles West of SR 5 | Bridge Improvement | $259,203 | |
| INDIANA | I -69 - Over I-69, on CR 300 S, 3.4 Miles North of SR 124 | Bridge Improvement | $506,797 | |
| INDIANA | US-31 - US 31 over Little Sand Creek | Bridge Improvement | $518,226 | |
| INDIANA | SR-46 - SR 46 over Stoney Lonesome Creek | Bridge Improvement | $476,774 | |
| INDIANA | SR-45 - SR 45 over N Fork of Beanblossom Creek | Bridge Improvement | $451,102 | |
| INDIANA | SR-45 - SR 45 over Beanblossom Creek | Bridge Improvement | $363,898 | |
| INDIANA | SR-3 - SR 3 over Clifty Creek | Bridge Improvement | $698,138 | |
| INDIANA | US 50, BRIDGE DECK OVERLAY, OVER LAUGHERY CREEK, RIPLEY COUNTY, SB-32106 | Bridge Improvement | $1,314,710 | |
| INDIANA | SR-3 - SR 3 over Abandoned RR | Bridge Improvement | $656,650 | |
| INDIANA | SR 63, BRIDGE DECK OVERLAY, SB OVER BROUILETTS CREEK, VERMILLION COUNTY, SB-32060 | Bridge Improvement | $1,496,127 | |
| INDIANA | SR-263 - Redwood Creek | Bridge Improvement | $562,438 | |
| INDIANA | SR 71, BRIDGE DECK OVERLAY, OVER LITTLE VERMILLION RIVER, VERMILLION COUNTY, SB-32060 | Bridge Improvement | $543,874 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | I -65 - from SR 2 to US 231 (MM 240 to MM 246.5) | Pavement Improvement | $365,250 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-30 - from Lake/Porter County Line to SR 17 | Pavement Improvement | $39,000 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-30 - from US 41 to SR 55 | Pavement Improvement | $34,200 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | I -94 - from SR 249 to SR 49 | Pavement Improvement | $63,900 |
| INDIANA | MICHIGAN CITY | I -94 - from US 35 to Michigan State LIne | Pavement Improvement | $52,200 |
| INDIANA | COLUMBUS | 25TH STREET, HMA OVERLAY, FROM CR 350E TO SR 9, BARTHOLOMEW COUNTY, SRS-32018 | Pavement Improvement | $658,000 |
| INDIANA | SR-47 - Turkey Run | Bridge Improvement | $175,500 | |
| INDIANA | US-136 - Wabash River | Bridge Improvement | $290,000 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-231 - from SR 912 to Bridge Street | Pavement Improvement | $11,608 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR-2 - from Cline Ave to SR 53 includes Crown Point square | Pavement Improvement | $42,696 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-41 - from Huehn St to 0.25 mi N of Sheffield Ave | Pavement Improvement | $19,081 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-12 - from 300' W of Calumet Ave to Illinois State Line | Pavement Improvement | $17,696 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-12 - from Schrage Ave to lift bridge S of Riley Rd | Pavement Improvement | $12,821 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-20 - from SR 249 to US 20/I-94 | Pavement Improvement | $40,069 |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | SR-312 - from US 41 to Parrish Ave | Pavement Improvement | $19,080 |
| INDIANA | SOUTH BEND (MI) | US-31 - from US 20 (airport) to Michigan State Line | Pavement Improvement | $19,080 |
| INDIANA | SOUTH BEND (MI) | US-6 - from 0.5mi W of SR 106 to 0.05mi E of SR 106 | Pavement Improvement | $16,218 |
| INDIANA | US-50 - Vernon Fk Muscatatuck R | Bridge Improvement | $230,000 | |
| INDIANA | CHICAGO-NORTHWESTERN INDIANA (IL) | US-12 - from SR 249 to SR 149 bridge to Indiana Harbor Canal | Pavement Improvement | $10,040 |
| INDIANA | SR-135 - Lick Run Creek | Bridge Improvement | $302,082 | |
| INDIANA | I -65 - SB Bridge over Driftwood River | Bridge Improvement | $569,076 | |
| INDIANA | I -65 - NB Bridge over Driftwood River | Bridge Improvement | $441,524 | |
| INDIANA | US-50 - EB bridge over Wabash River & ILL SR 33 | Bridge Improvement | $128,380 | |
| INDIANA | MICHIGAN CITY | SR-212 - from US 12 to US 20 | Pavement Improvement | $19,081 |
| INDIANA | US-50 - WB bridge over Wabash River & ILL SR 33 | Bridge Improvement | $149,706 | |
| INDIANA | US-50 - EB bridge over East Fork White River | Bridge Improvement | $107,236 | |
| INDIANA | US-50 - WB bridge over East Fork White River | Bridge Improvement | $107,319 | |
| INDIANA | LOUISVILLE (KY)-IN | I -64 - EB bridge over SR 111 (Main Street) | Bridge Improvement | $700,642 |
| INDIANA | LOUISVILLE (KY)-IN | I -64 - EB bridge over Southern RR | Bridge Improvement | $968,299 |
| INDIANA | LOUISVILLE (KY)-IN | I -64 - WB bridge over SR 111 & RR (Main St) | Bridge Improvement | $2,190,542 |
| INDIANA | LOUISVILLE (KY)-IN | I -65 - Riverside Dr & Market St | Bridge Improvement | $1,020,000 |
| INDIANA | I -64 - Various locations in Crawford County | Pavement Improvement | $2,810,000 | |
| INDIANA | SR-66 - Various locations in Vanderburgh County | Other | $1,342,000 | |
| INDIANA | SOUTH BEND (MI) | SR 23 over Mishawaka Avenue in St. Joseph County; Bridge Deck Overlay; SB-32093 | Bridge Improvement | $930,000 |
| INDIANA | SR-341 - SR 341 over North Fork of Coal Creek | Bridge Improvement | $261,563 | |
| INDIANA | US-41 - US 41 over Big Raccoon Creek | Bridge Improvement | $1,720,000 | |
| INDIANA | SR-13 - On SR 13 over Paw Paw Creek, 1.73 Miles South of SR 16 | Pavement Improvement | $232,400 | |
| INDIANA | ELKHART-GOSHEN | SR 4 over Rock Run Creek, 0.5 Miles East of SR15 in Elkhart County; Bridge Deck Overlay; SB-32091 | Bridge Improvement | $245,000 |
| INDIANA | SR-218 - SR 218, over Wagley Farlow Ditch, 4.06 Miles East of US 27 | Bridge Improvement | $322,000 | |
| INDIANA | BICKNELL SLAB ROAD, SURFACE TREATMENT, FROM HALL ROAD TO BICKNELL CITY LIMITS, KNOX COUNTY, SR-32161 | Pavement Improvement | $510,463 | |
| INDIANA | IR-1012 - Vincennes City Limits (Perdue Rd) to School House Rd | Pavement Improvement | $161,627 | |
| INDIANA | SIXTH STREET ROAD, SURFACE TREATMENT, FROM FERRY ROAD TO WILLIAMS ROAD, KNOX COUNTY, SR-32161 | Pavement Improvement | $215,644 | |
| INDIANA | CANNELBURG ROAD, SURFACE TREATMENT, FROM US 50 TO S OF CR 400, DAVIESS COUNTY, SR-32119 | Pavement Improvement | $279,000 | |
| INDIANA | OLD SR 245, SURFACE TREATMENT, FROM SR 66 TO SR 70, SPENCER COUNTY, SR-32121 | Pavement Improvement | $321,979 | |
| INDIANA | VARIOUS LOCATIONS, SIGN MODERNIZATION, COUNTYWIDE PROGRAMMATIC UPGRADE OF REG & SAFETY SIGNS, DAVIESS COUNTY, SR-32120 | Safety/Traffic Management | $276,000 | |
| INDIANA | IR-1007 - SR 145 to Old SR 37 | Pavement Improvement | $493,519 | |
| INDIANA | IR-1008 - Old SR 37 to SR 62 | Pavement Improvement | $620,249 | |
| INDIANA | COUNTY ROAD 75W, SURFACE TREATMENT, FROM CAMDEN TOWN LIMITS TO CR 650N, CARROLL COUNTY, SR-32171 | Pavement Improvement | $341,315 | |
| INDIANA | COUNTY ROAD 700E, SURFACE TREATMENT, FROM US 35 TO SR 18, CASS COUNTY, SR-32154 | Pavement Improvement | $925,367 | |
| INDIANA | COUNTY ROAD 400S, SURFACE TREATMENT, FROM CR 150E TO CR 200E, CASS COUNTY, SR-32154 | Pavement Improvement | $72,197 | |
| INDIANA | OLD SR 45, SURFACE TREATMENT, FROM SR 161TO SOUTH ST/ROCKPORT CITY LIMITS, SPENCER COUNTY, SR-32121 | Pavement Improvement | $501,794 | |
| INDIANA | FULDA SHORTCUT ROAD, SURFACE TREATMENT, FROM SR 545 TO SR 62, SPENCER COUNTY, SR-32121 | Pavement Improvement | $283,828 | |
| INDIANA | COUNTY ROAD 800E, SURFACE TREATMENT, FROM SR 66 TO SR 70, SPENCER COUNTY, SR-32121 | Pavement Improvement | $154,876 | |
| INDIANA | NUCOR ROAD (CR 400E), SURFACE TREATMENT, FROM CR 500S TO SR 32, MONTGOMERY COUNTY, SR-32324 | Pavement Improvement | $1,011,238 | |
| INDIANA | COUNTY ROAD 350E, SURFACE TREATMENT, FROM SR 64 TO SR 168, GIBSON COUNTY, SR-32118 | Pavement Improvement | $482,925 | |
| INDIANA | OLD SR 55, SURFACE TREATMENT, FROM US 136 TO VINE STREET IN THE TOWN OF WINGATE, MONTGOMERY COUNTY, SR-32324 | Pavement Improvement | $1,660,762 | |
| INDIANA | COUNTY ROAD 550E, SURFACE TREATMENT, FROM SR 64 TO SR 168, GIBSON COUNTY, SR-32118 | Pavement Improvement | $454,607 | |
| INDIANA | COUNTY ROAD 350S, SURFACE TREATMENT, FROM CR 100E TO CR 350E, GIBSON COUNTY, SR-32118 | Pavement Improvement | $362,468 | |
| INDIANA | EVANSVILLE (KY) | CR 50S/OLD BOONVILLE HWY, SURFACE TREATMENT, FROM WARRICK/VANDERBURGH COUNTY LINE TO 0.3 MI W OF SR 62, WARRICK COUNTY, SR-32122 | Pavement Improvement | $271,312 |
| INDIANA | EVANSVILLE (KY) | COUNTY ROAD 350S/VANN ROAD, SURFACE TREATMENT, FROM CASEY ROAD TO SR 61, WARRICK COUNTY, SR-32122 | Pavement Improvement | $382,033 |
| INDIANA | EVANSVILLE (KY) | COUNTY ROAD 25W/YANKEETOWN ROAD, SURFACE TREATMENT, FROM SR 66 TO OLD SR 66, WARRICK COUNTY, SR-32122 | Pavement Improvement | $74,221 |
| INDIANA | EVANSVILLE (KY) | OLD SR 66, SURFACE TREATMENT, FROM YANKEETOWN ROAD TO WARRICK/SPENCER COUNTY LINE, WARRICK COUNTY, SR-32122 | Pavement Improvement | $172,433 |
| INDIANA | EVANSVILLE (KY) | CR 800N/ELBERFELD RD, SURFACE TREATMENT, FROM THE WARRICK/VANDERBURGH COUNTY LINE TO ST JOHNS ROAD, WARRICK COUNTY, SR-32215 | Pavement Improvement | $121,204 |
| INDIANA | EVANSVILLE (KY) | COUNTY ROAD 1100W/NORTH ROAD, SURFACE TREATMENT, FROM I-164 TO SR 68, WARRICK COUNTY, SR-32215 | Pavement Improvement | $153,796 |
| INDIANA | INDIANAPOLIS | US 40, ROAD RECONSTRUCTION, IN PLAINFIELD FROM THE E END OF THE BRIDGE OVER WHITE LICK CREEK TO CARR RD, HENDRICKS CNTY, SR-29620 | Pavement Improvement | $2,940,304 |
| INDIANA | INDIANAPOLIS | US 40, SEWER/CURB/GUTTER CONSTRUCTION, IN PLAINFIELD FROM E END OF BRIDGE OVER WHITE LICK CR TO CARR RD, HENDRICKS CNTY, SR-29620 | Other | $1,160,233 |
| INDIANA | OLD SR 132, RESURFACE PAVEMENT, FROM I-69 TO SR 13, MADISON COUNTY, SRS-32126 | Pavement Improvement | $701,225 | |
| INDIANA | NORTHPORT ROAD, HMA OVERLAY, FROM SR 9 TO ANGLING ROAD, NOBLE COUNTY, SRS-32124 | Pavement Improvement | $427,549 | |
| INDIANA | COUNTY ROAD 100E, ROADSIDE WORK, FROM US 36 TO CR 600S, MADISON COUNTY, SRS-32126 | Pavement Improvement | $100,533 | |
| INDIANA | 8TH STREET, ROADSIDE WORK, FROM SR 13 TO CR 600W, MADISON COUNTY, SRS-32126 | Pavement Improvement | $398,241 | |
| INDIANA | MICHIGAN ROAD, SURFACE TREATMENT, FROM 400 E OF PROGRESS RD (E SHELBYVILLE CITY LIMITS) TO CR 800E, SHELBY COUNTY, SRS-32132 | Pavement Improvement | $955,000 | |
| INDIANA | INDIANA STREET, RESURFACING, FROM 50' N OF THE RR TRACKS TO THE NORTHERN TOWN LIMITS, PUTNAM COUNTY, SR-32297 | Pavement Improvement | $83,000 | |
| INDIANA | N PERRY STREET, SURFACE TREATMENT, FROM US 41/SR 28 N TO THE NORTHERN CITY LIMIT, FOUNTAIN COUNTY, SR-32299 | Pavement Improvement | $216,663 | |
| INDIANA | COUNTY ROAD 800E, SURFACE TREATMENT, FROM CR 100N TO CR 1200N, RUSH COUNTY, SRS-32135 | Pavement Improvement | $164,414 | |
| INDIANA | COUNTY ROAD 800E, SURFACE TREATMENT, FROM CR 600N TO CR 900N, RUSH COUNTY, SRS-32135 | Pavement Improvement | $360,586 | |
| INDIANA | COUNTY ROAD 1050E, RESURFACING, FROM US 40 TO CR 650N, HANCOCK COUNTY, SR-32137 | Pavement Improvement | $751,470 | |
| INDIANA | COUNTY ROAD 600E, RESURFACING, FROM US 40 TO SR 234, HANCOCK COUNTY, SR-32137 | Pavement Improvement | $957,530 | |
| INDIANA | MAIN ST/HOOSIER AVE, SURFACE TREATMENT, FROM SR 37 TO 200' N OF LAFAYETTE STREET, LAWRENCE COUNTY, SR-32138 | Pavement Improvement | $415,000 | |
| INDIANA | CR 925N/CR 450W/CR 1100N, SURFACE TREATMENT, FROM SR 63 TO US 41, SULLIVAN COUNTY, SR-32233 | Pavement Improvement | $671,307 | |
| INDIANA | OLD US 41, SURFACE TREATMENT, FROM CARLISLE TO US 41, SULLIVAN COUNTY, SR-32233 | Pavement Improvement | $393,140 | |
| INDIANA | DIVISION ROAD, HMA OVERLAY, FROM US 31 TO SR 19, TIPTON COUNTY, SRS-32149 | Pavement Improvement | $723,275 | |
| INDIANA | SOUTH ASH STREET, HMA OVERLAY, FROM SR 28 TO RAILROAD, TIPTON COUNTY, SRS-32149 | Pavement Improvement | $62,726 | |
| INDIANA | COUNTY ROAD 300W, SURFACE TREATMENT, FROM LOCKPORT BRIDGE TO 1100N, CARROLL COUNTY, SR-32171 | Pavement Improvement | $158,730 | |
| INDIANA | BICYCLE ROAD, SURFACE TREATMENT, FROM 1200W TO US 421, CARROLL COUNTY, SR-32171 | Pavement Improvement | $505,210 | |
| INDIANA | COUNTY ROAD 1200W, SURFACE TREATMENT, FROM COUNTY LINE TO BICYCLE BRIDGE ROAD, CARROLL COUNTY, SR-32171 | Pavement Improvement | $72,745 | |
| INDIANA | LOGANSPORT ROAD, SURFACE TREATMENT, FROM LONGTREE TO CR 1100E, CASS COUNTY, SR-32154 | Pavement Improvement | $1,237,436 | |
| INDIANA | BOWLING GREEN POLAND ROAD, SURFACE TREATMENT, FROM SR 46 TO SR 42, CLAY COUNTY, SR-32311 | Pavement Improvement | $598,000 | |
| INDIANA | MONROE STREET, SURFACE TREATMENT, FROM FRANKLIN STREET TO SOUTH 3RD STREET, WARREN COUNTY, SR-32306 | Pavement Improvement | $270,000 | |
| INDIANA | TERRE HAUTE | COTTON DRIVE, SURFACE TREATMENT, FROM SINGHURST STREET TO SR 159, VIGO COUNTY, SR-32307 | Pavement Improvement | $184,962 |
| INDIANA | TERRE HAUTE | RIO GRANDE AVENUE, SURFACE TREATMENT, FROM BALDWIN STREET TO TWIN BEACH STREET, VIGO COUNTY, SR-32307 | Pavement Improvement | $310,805 |
| INDIANA | WALNUT ROAD, HMA OVERLAY, FROM WEST GREENCASTLE CITY LIMITS TO WEST CL ROAD, PUTNAM COUNTY, SR-32303 | Pavement Improvement | $998,000 | |
| INDIANA | TERRE HAUTE | ROSEDALE ROAD, SURFACE TREATMENT, FROM RIO GRANDE AVENUE TO LAMBERT STREET, VIGO COUNTY, SR-32307 | Pavement Improvement | $484,233 |
| INDIANA | MAIN STREET, RESURFACING, BEGINNING 50' N OF THE RR TRACKS CONTINUING N TO THE CITY LIMITS, VERMILLION COUNTY, SR-32312 | Pavement Improvement | $140,000 | |
| INDIANA | SPRINGFIELD ROAD, SURFACE TREATMENT, FROM 0.6 MI E OF SR 69 TO SR 66, POSEY COUNTY, SR-32329 | Pavement Improvement | $768,250 | |
| INDIANA | COUNTY ROAD 600W, SURFACE TREATMENT, FROM US 6 TO CR 1200N (COUNTY LINE), NOBLE COUNTY, SRS-32180 | Pavement Improvement | $239,536 | |
| INDIANA | BASELINE ROAD, SURFACE TREATMENT, FROM SR 3 TO CR 1200E (COUNTY LINE), NOBLE COUNTY, SRS-32180 | Pavement Improvement | $60,465 | |
| INDIANA | BICKNELL-OAKTOWN ROAD, SURFACE TREATMENT, FROM HUNLEY ROAD TO FREELANDVILLE ROAD, KNOX COUNTY, SR-32161 | Pavement Improvement | $80,086 | |
| INDIANA | HART STREET ROAD, SURFACE TREATMENT, FROM TOWER ROAD TO 0.5 MI N OF SR 241, KNOX COUNTY, SR-32161 | Pavement Improvement | $543,807 | |
| INDIANA | RIVER ROAD, RESURFACING, FROM MONROE STREET TO US 41, WARREN COUNTY, SR-32337 | Pavement Improvement | $220,269 | |
| INDIANA | INDEPENDENCE ROAD, RESURFACING, FROM SR 55 TO THE TOWN OF INDEPENDENCE, WARREN COUNTY, SR-32337 | Pavement Improvement | $593,540 | |
| INDIANA | COUNTY ROAD 300N, RESURFACING, FROM THE STATE LINE TO SR 55, WARREN COUNTY, SR-32337 | Pavement Improvement | $1,606,191 | |
| INDIANA | ANGLING ROAD, HMA OVERLAY, FROM NORTHPORT ROAD TO KENDALLVILLE CITY LIMITS, NOBLE COUNTY, SRS-32207 | Pavement Improvement | $478,354 | |
| INDIANA | ALBION ROAD, HMA OVERLAY, FROM US 33 TO THE ALBION CITY LIMITS, NOBLE COUNTY, SRS-32207 | Pavement Improvement | $984,646 | |
| INDIANA | LOWER NEW HARMONY ROAD, SURFACE TREATMENT, FROM 9TH STREET TO N OF ALLYN DRIVE, POSEY COUNTY, SR-32217 | Pavement Improvement | $13,648 | |
| INDIANA | O'DONNEL ROAD/BRITTLE BANK ROAD, SURFACE TREATMENT, FROM SMITH ST TO RR TRACKS W OF REFINERY RD, POSEY COUNTY, SR-32217 | Pavement Improvement | $111,929 | |
| INDIANA | MAIN STREET (OLD SR 69), SURFACE TREATMENT, FROM WATER STREET TO 300' N OF ROOSEVELT DRIVE, POSEY COUNTY, SR-32217 | Pavement Improvement | $13,648 |
Source: FDIC


Kaytranada Says Second Album Is Finished, Teases New Tracks
The followup to ‘99.9%’ is almost here.
by Torsten IngvaldsenKaytranada is done with his second album. In a tweet Monday, the fervent Montréal producer shared “album. finito,” noting that the followup to his critically-acclaimed full-length debut, 99.9%, is officially done. The news follows a year of sporadic cuts the artist has put out, including April’s “DYSFUNCTIONAL” single alongside VanJess Following the release, he spoke to Zane Lowe, further teasing the project. “It’s gonna be worth the wait. You’re gonna see an evolution of Kaytranada,” he shared.
On top of noting the album’s completion, just yesterday the super-producer took to Instagram to tease what he’s calling an “IG BEATAPE,” teasing a variety of instrumentals that acknowledge his unforgettable sound. While most are instrumental cuts, Kaytanada is surely evolving — there are refined hints of J Dilla and Madlib scattered across the teasers.
You can take a listen to a variety of the new tracks via the embed below.
For more music news, frequent Kaytranada collaborator Shay Lia recently dropped her Dangerous (Deluxe) EP.


I M A G E S
The autopsy pictures, taken at Bethesda Naval Hospital on November 22, 1963.
The autopsy sheet from the president's coroner, J. Thornton Boswell.
A photograph of Lee Harvey Oswald, on the slab after his autopsy.


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Pinning data to GPU in Tensorflow and PyTorch
Posted on mar. 02 octobre 2018 in Tutorial by Laura Domine
The traditional and recommended data pipeline for deep learning involves pre-processing the data on CPU (data augmentation, cropping, etc), then loading small batches of pre-processed data on the GPU. There are several good reasons for this:
- The datasets are often huge and cannot fit on the GPU memory.
- The networks are big and the memory transfer overhead is negligible compared to the network computations.
However this does not always apply. If the dataset is small enough to fit on the GPU memory or the network computation time is of the same order as the memory transfer overhead, we start to think about doing the pre-processing directly on GPU.
 Our current pipeline is to crop our big images on CPU before feeding the crops one by one to the network training on GPU. First, the extraction of crops turns out to be expensive on CPU (of same order of magnitude as our network computations) and easily parallelizable on a GPU. Second, this scheme involves many small CPU-GPU memory transfers (one per crop) which we would like to avoid, as it costs a lot of time. Instead we want to transfer a handful of big images on the GPU in one shot, crop them on the GPU and feed them to the network without going back to the CPU.
The cropping part involves writing our own custom CUDA kernel and integrating it in Tensorflow or PyTorch. We won't talk about this here. Let's focus on the data movement part.
To summarize what we want to achieve without the context details:
- Load a batch of data on CPU
- Transfer the batch to GPU
- For each image in that batch:
- Do some pre-processing on GPU, which outputs a batch of possibly unknown length (e.g. the number of crops might not be deterministic).
- Pin the data to the GPU (i.e. prevent it from going back to CPU).
- Use the pre-processed batch to do further computations on minibatches (such as training a network).
We will go over toy example for this pipeline using both Tensorflow and PyTorch.
Important warning If you work with more traditional 2D images you might want to use the recent DALI library from NVIDIA. It solves exactly this issue: pre-processing the data on GPU before feeding it to a deep learning framework. They have bindings to TensorFlow and PyTorch, too. In our case 3D images are not (yet) supported by DALI and no short-term implementation is planned, which explains why we have to tackle this 'by hand'.
In Tensorflow¶
It turns out to be surprisingly hard in Tensorflow. First, it is hard to determine whether a Tensorflow operation implementation is available for GPU. The only way is to check the Github repository and look for a CUDA kernel corresponding to the operation. Second, it turns out most pre-processing operations such as tf.train.batch
are implemented on CPU. (Random sidenote: random operations such as tf.random_uniform
or tf.random_crop
also seem to be only available on CPU.) Of course, Tensorflow recommends that pre-processing takes place on CPU... What it means for us: we might do our pre-processing on GPU, but as soon as we try to batch it for the actual computation it will be sent back to CPU.
The only way to pin data to the GPU in Tensorflow is to declare it as a tf.constant
. It gives rise to a convoluted but working pipeline: load a batch of data on GPU as a tf.constant
, do the preprocessing on GPU, then use a placeholder for the index that defines a minibatch. This approach suggested in this blog post works well, but one detail that is left out is how to change our batch of data: once it has been consumed by the network, how do we proceed to the next batch of data and declare it as another tf.constant
? How do we run the network on that new constant? As you may know, once the graph has been defined, Tensorflow freezes it and runs always the same graph.
The answer is to do some surgery with the Tensorflow computation graph: for each batch of data, remove the node for the tf.constant
and replace it with the new batch.
Let's demonstrate with a toy example how to do it in practice. First let us define our data: an array of shape (100, 3). We want to transfer it to GPU in batches of 20, do some pre-processing and then feed it to the network one by one.
import numpy as np
import tensorflow as tf
# The size of each initial batch.
BATCH_SIZE = 20
# The size of minibatch size which we want to pre-process.
MINIBATCH_SIZE = 1
# Initial number of images/data.
N = 100
# Create the dataset in CPU memory
np_data = np.array(range(N*4*4), dtype=np.float32).reshape(N, 4, 4)
Now we define the computation graph:
with tf.Graph().as_default() as g:
# Load a batch of data on GPU
tf_data = tf.constant(np_data[0:BATCH_SIZE], dtype=tf.float32, name='data')
# Index of the minibatch inside the current batch
ix = tf.placeholder(shape=(), dtype=tf.int32, name='ix')
# ix = tf.constant(0, dtype=tf.int32, name='ix')
# Select a single image from that batch = shape (1, 3, 3)
batch = tf.slice(tf_data, [MINIBATCH_SIZE * ix, 0, 0], [MINIBATCH_SIZE, -1, -1], name='batch')
# ...
# Do some pre-processing here on the batch, which outputs a minibatch of size (4, 2, 2)
# ...
minibatch = tf.reshape(batch, (-1, 2, 2))[:4]
# Do something with the minibatch - here dummy computation
# If we wanted to work on the minibatch slice by slice, we
# could have another index placeholder
outp = tf.reduce_sum(tf.square(minibatch), name='outp')
# Save graph definition
gdef = g.as_graph_def()
ix
is a placeholder for the index inside the current batch. The batch data is defined as a tf.constant
to force it to stay on GPU once it has been moved there. We use tf.slice
to extract the data corresponding to our index ix
from our initial batch, for the pre-processing step. After pre-processing we end up with a minibatch
which is made of several images. outp
performs some dummy computation on this minibatch. We save the graph definition in gdef
variable for our later surgery.
tf.reset_default_graph()
with tf.Session() as sess:
# Set tf.AUTO_REUSE to be allowed to re-import the graph at each batch
with tf.variable_scope('', reuse=tf.AUTO_REUSE):
# Loop over batches of data of size BATCH_SIZE
for idx in range(N/BATCH_SIZE):
new_data = tf.constant(np_data[BATCH_SIZE*idx:BATCH_SIZE*(idx+1)], dtype=tf.float32, name='data%d' % idx)
tf.import_graph_def(gdef, input_map={'data:0': new_data}, name='')
# If we wanted to train a network we should save/restore weights
# at this level.
# sess.run(tf.global_variables_initializer())
# For each batch, we are going to run the computation graph on a MINIBATCH_SIZE sample
for i in range(BATCH_SIZE/MINIBATCH_SIZE):
o_tensor = tf.get_default_graph().get_tensor_by_name('outp:0' if idx == 0 else 'outp_%d:0' % idx)
o = sess.run([o_tensor], feed_dict={tf.get_default_graph().get_tensor_by_name('ix:0' if idx == 0 else 'ix_%d:0' % idx): i})
The key to the surgery on TF computation graph lies in tf.import_graph_def
. We use the keyword argument input_map
to map the data:0
constant node to a new constant node which holds the next batch of data. Note that the name
argument should be set to an empty string, or all the variables will have an additional name scope appended to their names.
Warning: tf.import_graph_def
only restores the graph, it does not restore variables values. If we wanted to train a real network, we should store all the weights for each batch of data and restore them after we do our surgery on the graph. For the sake of simplicity we leave this out to the reader. Please note that it can be yet another downside of this method, since storing/restoring weights involves additional memory transfers between CPU/GPU.
Profiling If we time it using nvprof
profiler, we can see that there are only 5 host to device transfers (i.e. CPU to GPU) as expected. There are however still 100 transfers from device to host (GPU to CPU): every time we call sess.run
in Tensorflow, after the computation graph is executed all the tensors that were requested are brought back to CPU (and each tensor brought back to CPU takes 1 call to CUDA memcpy DtoH
, in our case we only asked for the output tensor).
Type Time(%) Time Calls Avg Min Max Name
29.61% 113.89us 100 1.1380us 1.0880us 1.5040us [CUDA memcpy DtoH]
1.59% 6.1120us 5 1.2220us 1.1200us 1.4080us [CUDA memcpy HtoD]
As you can see any data transfer will take at least 1 microsecond, no matter how small the data is. Let us increase the dataset to a batch size of 200 and 1000 entries, keeping the same ratio 1:5 between the batch size and the dataset size. Now we can clearly see the difference:
Type Time(%) Time Calls Avg Min Max Name
30.19% 1.1380ms 1000 1.1370us 1.0870us 4.3200us [CUDA memcpy DtoH]
0.30% 11.296us 5 2.2590us 2.2400us 2.2720us [CUDA memcpy HtoD]
Despite the data size being 10 times bigger in HtoD transfers, the average time for each call is only twice bigger. If we had kept our 'naive' scheme, sending the minibatch data one by one to the GPU, it would have increased similarly to the current DtoH transfers, by a factor of 10. So using this strategy already cuts by almost half the memory transfer time needed to achieve our goal!
In PyTorch¶
PyTorch is meant to be more flexible and DIY spirit than Tensorflow, so it is not surprising if this pipeline is much easier to achieve in PyTorch.
import numpy as np
import torch
import torch.utils.data
# The size of each initial batch.
BATCH_SIZE = 20
# The size of minibatch size which we want to pre-process.
MINIBATCH_SIZE = 1
# Initial number of images/data.
N = 100
Then we create a dataset:
# Create a dataset on CPU
np_data = np.array(range(N*4*4), dtype=np.float32).reshape(N, 4, 4)
# Load to Torch tensor
data = torch.from_numpy(np_data)
dataset = torch.utils.data.TensorDataset(data)
Creating batches from the dataset is simple and we can specify that it should be pinned to the device memory with pin_memory
:
# Prepare batches
batch = torch.utils.data.DataLoader(dataset, batch_size=BATCH_SIZE, pin_memory=True)
Now we can iterate over the batches and do our pre-processing:
# Iterate over batches
for i, data in enumerate(batch):
image, = data
# Load the batch to GPU
image = image.cuda()
# Slice into chunks
chunks = torch.chunk(image, BATCH_SIZE/MINIBATCH_SIZE, dim=0)
for c in chunks:
# ...
# Do some pre-processing and output a minibatch
# ...
minibatch = c.view((-1, 2, 2))[:4]
# If we wanted to work on the minibatch images one by one we could use
# torch.chunk again.
output = torch.sum(torch.sqrt(minibatch))
Profiling Running nvprof
gives us:
Type Time(%) Time Calls Avg Min Max Name
17.43% 113.44us 100 1.1340us 1.0880us 1.6000us [CUDA memcpy DtoH]
13.04% 84.896us 13 6.5300us 992ns 67.968us [CUDA memcpy HtoD]
We have 8 unexpected calls to CUDA memcpy HtoD
which come from the torch.utils.data.DataLoader
call. They are independent of the batch size and the dataset size. The rest of the calls is as expected, and if you look back on the code it looks much cleaner than the TF equivalent.


This FRT record saves conditional format condition information that is new for Office Excel 2007. This information is used on load to round trip conditional formatting that was not supported in previous versions.
|
Offset |
Name |
Size |
Contents |
|
4 |
rt |
2 |
Record type; this matches the BIFF rt in the first two bytes of the record; =087Bh |
|
6 |
grbitFrt |
2 |
FRT cell reference flag; =0 currently |
|
8 |
(Reserved) |
8 |
Currently not used, and set to 0 |
|
16 |
fIsCF12 |
4 |
if non-zero this is an Office Excel 2007-specific CF |
|
20 |
nID |
2 |
Unique ID of parent CONDFMT |
|
22 |
rgbExt |
var |
only present if fIsCF12 = 0 |
rgbExt – For conditions that have been already written out as CF records, this structure will contain the information needed to restore new for Office Excel 2007 capabilities.
|
Offset |
Name |
Size |
Contents |
|
0 |
icfNon12 |
2 |
index of this condition out of all the non-Office-Excel-2007-specific conditions of the parent conditional format |
|
2 |
cp |
1 |
Conditional formatting operator |
|
3 |
icfTemplate |
1 |
template index |
|
4 |
ipriority |
2 |
condition priority |
|
6 |
grbitCFEX |
1 |
see text below |
|
7 |
fHasDxf |
1 |
=1 if dxf structure follows |
|
8 |
rgbdxf |
var |
only present if fHasDxf =1 |
|
var |
cbTemplateParm |
1 |
count of template bytes (< =16) |
|
var |
rgbTemplateParm |
var |
template parameter bytes |
The grbitCFEX field is defined as follow:
|
Bits |
Mask |
Name |
Contents |
|
0 |
0001h |
fActive |
if =1 cfvo evaluation failed so we don’t want to draw this rule. |
|
1 |
0002h |
fStopIfTrue |
if =1 stop evaluating conditions after this rule if result is true. |
|
2 |
0004h |
(Reserved) |
Reserved; must be 0 (zero) |
|
3 |
0008h |
fListCol |
if =1 rule applies to list column |
Note: if the parent conditional format is a filter type format (ct =5) then rgbTemplateParm contains the following content:
|
Offset |
Name |
Size |
Contents |
|
0 |
grbitFilter |
1 |
see text |
|
1 |
iParam |
2 |
filter parameter value |
|
3 |
(Reserved) |
13 |
Reserved; must be 0 (zero) |
The grbitFilter field is defined as follow:
|
Bits |
Mask |
Name |
Contents |
|
0 |
01h |
fTop |
if =1 filter top results |
|
1 |
02h |
Percent |
if =1 format values that are in the given % of the selected range |
|
3..7 |
FCh |
(Reserved) |
Reserved; must be 0 (zero) |


The modeltime
project roadmap (GitHub Issue #5) tracks the overall development of the Modeltime Ecosystem of forecasting packages.
Modeltime is a cutting-edge ecosystem for forecasting using strategies and best practices that won or placed highly in major forecasting competitions.
We have a state-of-the-art Time Series Forecasting Course (DS4B 203-R) that teaches the modeltime
ecosystem and timetk
(Machine Learning, Deep Learning, and Feature Engineering for Time Series). Take this course to become the forecasting expert for your organization.
These algorithms are provided in the base modeltime
package. Refer to the API Function Reference.
arima_reg()
exp_smoothing()
seasonal_reg()
seasonal_reg()
nnetar_reg()
exp_smoothing()
] (#93)exp_smoothing()
] (#98)These algorithms are provided in the base modeltime
package. Refer to the API Function Reference.
prophet_reg()
These algorithms use xgboost
to improve performance on detecting seasonality while using the base model (e.g. prophet) for trend. These algorithms are provided in the base modeltime
package. Refer to the API Function Reference.
prophet_boost()
arima_boost()
Please refer to modeltime.ensemble
R package: https://business-science.github.io/modeltime.ensemble/
modeltime.ensemble::ensemble_model_spec()
modeltime.ensemble::ensemble_average()
modeltime.ensemble::ensemble_weighted()
Recursive forecasting is required when Lags of Features < Forecast Horizon. Please refer to the recursive()
function that allows any model to be converted into a recursive prediction model: https://business-science.github.io/modeltime/reference/recursive.html
recursive()
modeltime.ensemble
for development efforts. https://business-science.github.io/modeltime.ensemble/
modeltime.resample
for backtesting and resampling time series: https://business-science.github.io/modeltime.resample/index.html
Please refer to modeltime.gluonts
R package: https://github.com/business-science/modeltime.gluonts
modeltime.gluonts::deep_ar()
modeltime.gluonts::nbeats()
This project is being managed via modeltime.h2o
: https://github.com/business-science/modeltime.h2o
Refer to baseline algorithms #37
naive_reg()
window_reg()
We are currently working with the parsnip
team to reach a solution.
mgcv
)Refer to bayesmodels
(Website, GitHub)
bayesmodels
connects to the bayesforecast
package.bayesmodels
connects to the bayesforecast
package.bayesmodels
connects to the bayesforecast
package.bayesmodels
connects to the bayesforecast
and bsts
packages.bayesmodels
connects to the bayesforecast
package.bayesmodels
connects to the brms
package.bayesmodels
connects to the BASS
package.bayesmodels
connects to the Rglt
package.Refer to boostime
(GitHub).
Investigate whether or not tools are needed to support VAR modeling. It’s unclear whether or not a separate toolset is required beyond the core system. User input required. Follow GH Issue #77.
Investigate the possibility of adding Spark and Dask backends to improve scalability of modeltime.
Investigate algorithm. Determine if backend has value. https://linkedin.github.io/greykite/docs/0.1.0/html/index.html


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