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With the Plaxico Burress mess recently behind them, the Giants learned from the NFL Friday that new linebacker Michael Boley, who signed a five-year, $25 million contract in February, will be suspended for one game, the season opener, under the league's personal conduct policy.
Reasons for the suspension were not announced, but the league later confirmed it stems from a May 3, 2008 incident when Boley was with the Atlanta Falcons. Boley was arrested that day, and according to Gwinnett County records, was charged with three counts of domestic battery for allegedly beating his wife, Chantelle.
The only real consequence of the suspension is that Boley will be docked roughly $147,059 for one week of the $2.5 million he was to be paid this year. He was likely to miss the opener in any case after having surgery on June 24 for a torn labrum in his hip. That was expected to sideline him for 8-10 weeks, meaning he was likely to return to practice after training camp ends on Aug. 25.
According to a statement released by the NFL, Boley is eligible for all preseason games and practices up until Saturday, Sept. 5, when his suspension begins. He will become eligible to rejoin the team on Sept. 14, one day after the opener at home against the Redskins.
The Giants did not release any statements from Boley or team officials but knew of the incident when they signed him.
Coincidentally, the free agent the Giants signed along with Boley, defensive tackle Rocky Bernard, served a one-game suspension over a domestic violence incident when he was with the Seahawks last year.
At the time of the signings, GM Jerry Reese said the team had done its homework on both players and determined each was a solid citizen.
According to reports of the domestic violence incident, Boley allegedly pushed his wife against a wall, threw her over a couch and shoved her into a kitchen cabinet door, leaving bruises on her upper back. He has since filed for divorce, which, according to court records, should be finalized this month. A mutual restraining order is in effect.
The incident took its time to wind through the courts, which, according to NFL spokesman Greg Aiello, is why Boley was not suspended last season in the same calendar year. According to Gwinnett County court records, the case was finally put to bed in March when a judge upheld the prosecutor's motion for "nolle prosequi" and it never went to trial. In Latin, the term means "not to prosecute," and is filed for various reasons when it is determined not to pursue the case any further. It determines neither guilt nor innocence, but since the NFL acted with a suspension, it can be assumed Boley may have agreed to some form of community service or the like, especially since a diversion/abeyance order was issued in October of 2008.
According to an e-mail from Aiello, "The matter was not resolved legally until October of '08. Our disciplinary review began in December of '08. The decision on the one-game suspension was made in the offseason. We announced it today. This took its normal course."


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Best known for the Harry and the Dinosaurs series, author Ian Whybrow has actually written over 100 children's books and his work has been published in 27 different languages across 28 different countries. Before becoming an author, Ian worked in secondary education teaching English, drama and eventually progressing to headmaster.
Born on 3 May, 1941 in Gillingham, Kent, he grew up in Margate and Hong Kong. He now lives in Harrow and enjoys walking, swimming, cycling reading and the theatre. Having published books since 1989, Ian is highly regarded for his ability to tell inventive and original stories.

subset: commoncrawl


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Paramedics are expert healthcare providers who primarily operate in pre-hospital scenarios and out-of-hospital situations in cases of emergency medical services for situations such as accidents, natural disasters, and medical emergency situations. In the United States, a paramedic works on behalf of a physician or doctors.
It is essential to take a look at why you want to become a paramedic also. If you're thinking about this profession, then you are likely considering a job in service to others as mentioned. You need to have compassion for people, as you're going to experience all kinds of various situations where people need your assistance. You need excellent listening abilities, and you're going to need to be a strong individual. You likewise need strong communication skills, and as a paramedic, you need to be a great problem solver.
What Are the Paramedic Profession Requirements?
A paramedic is a step above an EMT and is at the advanced level. In addition to the skills learned as Emergency medical technicians, paramedics are trained to offer advanced life support. In addition to what an EMT is trained to do, which includes performing CPR, treating wounds, etc., a paramedic can provide medications, start IVs, give injections, offer advanced airway management, and more. Upon graduation from a paramedics program, a person can make more cash than an EMT and receive much better job chances in the field.
Understanding The Requirements
This is the initial step in your journey to becoming a certified paramedic. The requirements can differ from state to state, but eligibility specifications are generally the same. They consist of:
- Should be at least 18 years old.
- Need to be a high school graduate or hold a GED
- Need to have a valid motorist's license
- Should be a qualified EMT
At times, you might need to make it through some places which are difficult to reach and this is why you may discover that the mastery of your hands to deal with, finger or feel is checked. If you meet all these requirements, you are qualified for first responder training or emergency medical responder training.
Steps To Become A Paramedic In Boston Virginia
To become a paramedic, you need to be a high school graduate or have a GED. Nevertheless, it is not a should to have a college degree. You need to likewise have no criminal past, physically able and a minimum of 18 years old. Paramedics ought to remain in good physical health because they will have to walk, stand and sit for extended periods of time.
The steps to become a paramedic consist of:
- You must become accredited as an EMT-B. An EMT-B is the basic level of training. Training lasts for around 120 to 150 hours and takes about six months to finish. You can discover EMT-B training at technical organizations and community colleges.
- EMT courses will consist of guideline in physiology, anatomy, and advanced medical abilities. After finishing the course, you will need to complete internship for a particular variety of hours doing work in the emergency, ambulance or fire department.
- Most Emergency medical technicians operate in the field for a number of years to acquire experience and on-the-job training prior to they try to become paramedics. For some paramedic courses, which include 1200 to 1800 hours of study or two years of study, roughly six months of on-the-job training as an EMT is needed. Likewise, some individuals who have actually finished EMT-B training likewise complete Advanced EMT training which is an extra 300 hours of coursework.
- Picking then best school for the program can be hard, but all you have to keep in mind is that the institution must provide best education and direction. I would advise you to choose an accredited organization or program. This is not only a requirement for you to become Nationally Registered, however it ensures you receive the ideal education and training in the field.
- After you have actually completed the paramedics training, you should take the state licensing examination. The test just like the training is hard, however there are research study guides readily available to make it simpler. As a paramedic, you can operate in a health center, in a station house, and a lot more.


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SYNOPSIS FOR: Shutter (2004)
A young photographer and his girlfriend discover mysterious shadows in their photographs after a tragic accident. They soon learn that you can not escape your past.
WATCH: Shutter (2004)
MOVIE COMMENTS FOR: WATCH Shutter (2004)
No Reviews Yet
You can be the first to write a review!


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aNIME INFO
Ling Yu - Spirit Realm S2
Type: TV Series
Plot Summary: Qin Lie have to guard Tang Siqi, regardless of the differences between them, and Liang Shanyan, while the strange powers coursing through his veins are beginning to slowly awaken. When Qin Lie vows to protect the instrument of sovereign, at the same time, seven Evil Clan's Lords are appearing on the field. While the most powerful secret weapon is emerging from the altar, the enemy intend to seize Qin Lie's life...
Genre: Fantasy
Released: 2016
Status: Completed
Other name: Spiritual Domain Second Season, Spiritual Field 2


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CMS FAQs clarify meaningful use attestation rules
For providers working on stage 2 meaningful use attestation who have questions on criteria such as summary of care documents, clinical quality measures (CQMs) or when their EHR incentive checks will be in the mail, good news: CMS clarified these and some other questions via its FAQ page.
CMS regularly updates the Medicare and Medicaid EHR Incentive Programs FAQ section on its website to clarify meaningful use program attestation rules. The most recent changes and additions to the list include a new explanation of the summary of care document updates to seven FAQs on CQMs.
The summary of care explanation addresses the question of whether or not eligible parties may count a transition or referral of care toward the measure if an electronic summary of care document is created through a certified EHR and sent to a third party organization.
The updated CQM FAQs address data reporting required for incentive payments. They include deeper information for calculating data and creating reports. Each update answers similar questions such as how to report on CQMs with no collected data and how to use CQMs from an alternate core set to meet reporting requirements.
The updates also include a FAQ explanation that describes what happens when providers submit documentation, and the time frame in which providers can expect to receive their incentive payment checks.


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GreenPath Financial Wellness
GreenPath Financial Wellness
With GreenPath, you have free access to money management and financial education services. GreenPath is a non-profit company that partners with you to achieve your financial goals.You can receive assistance with:
- Personal and family budgeting
- Understanding your credit report and how to improve your score
- Money management
- Debt repayment
- Avoiding bankruptcy, foreclosure and repossession
GreenPath also offers CheckRight, a web-based checking account management education module designed to teach you how to manage a checking account. CheckRight is a self-study program that allows you to learn at your own pace.
- Open an account
- Write checks
- Make deposits
- Reconcile an account
- Maintain a check register
- Create a spending plan
CheckRight Quiz
Once you have read through the chapters, you will be directed to a quiz that will test your knowledge on checking accounts. You will be able to view the results and you have the option to send the results to the credit union via e-mail.
LivePerson Chat
By clicking the button below, you will be launching the chat platform to speak with one of our customer service associates.


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No matter how old you are, watching a classic movie is always a good idea, and who doesn't love a swoon-worthy animated hunk, right? They're actually pretty big heartthrobs, and sometimes we just wish they could come to life. Well, leave it to some of your fave celebs to actually look like those characters IRL.
Even though some celebs get compared to hunky characters on the reg, other celebs get compared to some very ~interesting~ characters. Like, YouTube star David Dobrik, for example, who recently acknowledged the fact that he gets compared to Lord Farquaad from Shrek on a semi-regular basis. Need proof? Look no further.
Considering the haircut, we have to say the resemblance is uncanny, and we're kind of living for it!
The YouTuber had a great sense of humor about it too, saying, "This one I get all the time… because my hair does this thing, especially when I let it grow out, like, really long. I look exactly like Lord Farquaad." LOL.
Whether you agree or not, there are tons of other famous guys who've been compared to animated characters, and while we can totally see the resemblance with most of them, others made us squint a little. Anyway, you be the judge!
Scroll through the gallery for all the other times male celebs have given us total animated character vibes.
Love J-14? Be sure to subscribe to our YouTube channel for fun, exclusive videos with your favorite stars.


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About This File
Hello everyone! So this is my first vehicle I have made in a couple of months due to a private reason that happened over the past 4 months & my first ever release on GPM! I do plan on mkaing a All-Blue version of this charger... If you need any assistance on how to install this model or anything please message me privately on this website or on Discord.
If I am missing a credit of someones then message me privately or on Discord.
Information about this Model...
-Screenshots are by a friend
-You have my full permission to use this Charger in FiveM (I have it FiveM Ready)
-There is no skin included with this model, it was only used for screenshots so get your own damn skin
-All Blue is coming in like a month or so... kinda busy with school and a relationship rn
-There are 7 extras, not too flashy but if I feel like adding anything I will
-Will you make my clans vehicles? No, fuck off
-Can I have a unlocked version of this model? No, fuck off
-Can I have some parts used in this model? No, some of these are public and some of these are private
CREDITS (Also can be found in the download file as well!)
- 2018 Dodge Charger - Matt
- Federal Signal Spectralux ILS - CJ24
- Federal Signal Impaxx - Krul
- Whelen Ion - Jake
- Feniex Rear Deck - Krul
- Whelen Dominator 2 Head - Five0
- Spotlight - Shmurda
- Setina Rambar - Matt (I think, correct me if I am wrong)
- Wraparound - Dan With Da Van
- Antennas - Bxbugs, other developer who's name I cannot find anywhere
- MPH 900 - Joshua Tanner
- Speakers - Bxbugs
- Plate Mounts - Jake
- Radar - HuskyBuad
- Parition - Turtle
- Console - Bxbugs
The skin used in the screenshots is by J. Campbell -
I definitely recommend it!
For any support, and the best way to contact me... Message me on Discord. But if you're gonna bug me then don't message me because I hate communication so yeah.
What's New in Version 1.0.1 See changelog
Added single player installation tutorial


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Board of Supervisors Creates City-County Joint Taskforce on Climate and Economic Equity
The Milwaukee Common Council passed a companion resolution to create the taskforce at its Tuesday, July 9 meeting.
MILWAUKEE – The Milwaukee County Board of Supervisors adopted a resolution authored by Supervisor Supreme Moore Omokunde to create the Milwaukee City-County Joint Taskforce on Climate and Economic Equity at its Thursday, July 25 meeting. The taskforce brings together elected officials and community leaders to make recommendations for achieving net zero greenhouse gas emissions by 2050 or sooner, while mitigating racial and income inequality.
"As a government body, we are tasked to speak on behalf of our constituents. It is important to speak for those who cannot speak for themselves; our air, land and water. While it is crucial that we address the looming crisis of climate change, it is equally important to address the growing inequality happening in our economy," said Moore Omokunde.
The taskforce will be made up of 13 members, including representatives from the Milwaukee County Board of Supervisors, Milwaukee Common Council, Milwaukee Youth Council, Citizen Action of Wisconsin, Clean Wisconsin, #Community Advocates Public Policy Institute#, Milwaukee Area Labor Council, Milwaukee Environmental Collaboration Office, National Association for the Advancement of Colored People, Sierra Club and Wisconsin Climate Table.
The Milwaukee Common Council passed a companion resolution to create the taskforce at its Tuesday, July 9 meeting. The resolution directs the taskforce to present its findings to the County Board and Common Council in six months.
Mentioned in This Press Release
Recent Press Releases by Sup. Supreme Moore Omokunde
Climate and Economic Equity Taskforce Co-chairs Announce Members, Set First Meeting for Nov. 11Nov 7th, 2019 by Sup. Supreme Moore Omokunde
"I'm confident that my colleagues on the taskforce share my sense of enthusiasm and urgency, and I know we're all eager to roll up our sleeves and get to work."
Supervisor Moore Omokunde Welcomes the Shaolin Swordsmen to C.R.E.A.M. CityAug 2nd, 2019 by Sup. Supreme Moore Omokunde
"They are a staple in the history of Hip Hop Music and serve as orchestrators in the soundtrack of mine and millions of other lives worldwide."
Supervisor Moore Omokunde Calls for Joint City-County Effort on Climate and EconomyJul 1st, 2019 by Sup. Supreme Moore Omokunde
"Some of the challenges we face economically can be solved by addressing our challenges with climate change."


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Taylor's has record day in MHS win
MARIETTA –Marietta executed its pin-and-pull offensive scheme to perfection Friday night at Don Drumm Stadium, as senior Chase Taylor rushed for a school record 332 yards in a 52-34 win over rival Warren.
Taylor accomplished the feat on just 19 carries, scoring four touchdowns on runs of 64, 63, 76 and 18 yards. On several of his carries, Taylor ran a sweep to the outside and cut back toward the middle of the field, often shedding tackles and outrunning the defense.
"It's a pin-and-pull scheme," explained MHS head coach Jason Schob. "Whatever the defense does, we either go inside or outside. Chase has a read key and goes from there. He did very good job of reading it. He was patient with his blocks and as soon as he found a crease he would go."
On setting the program's single-game rushing mark, Taylor said "It all starts up front. … The O-line played great. I wouldn't be able do anything without them. It's all about the O-line. Up front, they dominated and I reaped the benefits.
"(The record) means a lot. There's a lot of good guys that came through before me. It's pretty mind-blowing. It's awesome."
Taylor's four touchdowns provided the bulk of Marietta's points, but Corbin Alkire's 1-yard TD run at the 5:02 mark in the first quarter opened the scoring. Later in the period, Taylor's 64-yard scamper made it 14-0.
Warren's Evan Gandee answered and got the Warriors on the board on the ensuing kickoff, running 99 yards to the end zone. The extra-point was blocked by Scott Offenberger to make it 14-6.
Marietta (2-0) responded on its next possession, driving all the way to Warren's 16-yard line before Tony Munos ran in for a touchdown to make it 21-6. Gandee and the Warriors had another answer, as quarterback Kurt Taylor found the junior receiver for a 50-yard scoring strike with 6:38 left in the first half.
Chase Taylor struck again, though, scoring on 63-yard burst on the first play of the Tigers' next drive to make it 28-13 at halftime.
"Hats off to (Marietta)," said Warren head coach Matt Kimes. "They have a couple good running backs who are experienced and know what they're doing. We fought like heck to give them a game."
Warren (1-1) got the ball first to open the second half and scored quickly on a double-pass play as Kurt Taylor threw a lateral to Brandon Simoniette who connected with a wide open Gandee down the sideline for a 41-yard touchdown to make it 28-20.
Again, though, Warren had no answer for Chase Taylor, who sprinted 76 yards for a touchdown on the first play of the ensuing drive.
The big plays kept coming as, on the first play of Warren's next drive, Simoniette hauled in a 74-yard TD pass from Kurt Taylor to make it 35-27. Simoniette, finished with nine catches for 198 yards and three total touchdowns.
"He's a special kid," Kimes said. "We try to put him in situations where he gets the ball in space. He played hard, fought through some injuries. There's multiple guys making plays. Evan's making plays. Running backs are running hard."
Marietta got a 30-yard field goal from Sean Fournier at the 3:18 mark in the third quarter to go up 38-27, and Chase Taylor's fourth TD of the day with 6:49 left in the game made it 45-27.
Marietta came up with a couple key defensive plays in the final period, including a fourth-down stop on a 4th-and-2, a forced fumble on a kick return by Cole Alkire and an interception by Cyrus Rhodes.
Marietta made it 52-27 on Kory Science's 22-yard TD run with 2:22 left in the game. Warren answered with a 73-yard TD pass from Kurt Taylor to Simoniette, but that was it.
Marietta finished 558 total yards of offense, including 485 on the ground.
"We actually didn't know what we were going to do gameplan-wise," Schob said. "We thought we would try to establish the run early on and we were successful so we stayed with it. Chase did a great job making the first guy miss and getting into space and using his speed. And a lot of the credit goes to the guys up front. They created some holes, which you have to to be able to run the ball like that."
Kurt Taylor finished 15 for 23 for 265 yards and four touchdowns through the air to lead Warren's offense. Gandee had three catches for 98 yards. Marietta essentially shut down Warren's running game, holding them to 22 yards on 17 attempts.
Munos carries nine times for 60 yards for MHS. Science had 46 yards on five rushes, while Corbin Alkire had 54 yards on 13 carries and was 7 for 10 for 73 yards passing.
Marietta plays host to Williamstown next Friday while the Warriors return home to face Meigs.
"I told the kids after the game that this game doesn't break us if we don't let it," Kimes said. "Our job is to continue to try to go 1-0 each week. If we can put up 1-0s from here on out, we'll still be in a place to have a successful season."


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1/144 Gunpla baseby soozafone Dec 9, 2017
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An adjustable action base for 1/144 scale Gunpla and similar models. This stand is compatible with the standard 3mm peg connection found on most modern Bandai HG kits as well as Kotobukiya's Frame Arms and others. Other adapters are coming soon!
Arms hold their position with geared connections and printed retainers, no extra hardware necessary. You will need a small length of 3mm-diameter plastic rod, which can easily be cut from the model runners.
Print Settings
Monoprice select mini v1
0.2 mm
No supports or raft/skirt needed. Prints best with a 0.4 mm nozzle.
Step 1: Parts
Print these parts:
- one base plate (I used the "hex" option)
- one base hinge
- one or more arm segments (I have two here, 30 and 50 mm long)
- one peg adapter piece (I used the 22.5-degree angled version)
- one retaining ring per hinge (with my two-segment version, I'll need three rings).
You will also need a short (~1 inch / 25 mm) length of scrap runner, 3mm in diameter.
Step 2: Base plate assembly
Slide the base hinge into place on the base plate. Lock it in place with the length of runner, and trim off and save the excess length.
Step 3: Adapter assembly
Insert the remaining length of runner into the peg adapter, and trim so that about 1 cm remains.
Step 4: Assemble the arms
To assemble the rest of the base, slide the geared hole of each segment onto the corresponding peg and secure with one of the retaining rings. Note that the position is locked once the ring is in place - to change the angle, you will have to disassemble and reassemble that hinge.
Step 5: Put your model on there!
Your stand is ready for display!
Posing note: Because of how the hinges fit together, if you want the stand peg to be perfectly vertical, you should use an odd number of arm segments. Using an even number of segments will give you an offset of 11.25 degrees for more dynamic poses.


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, I'll be the one who served eight-and-a-half years in the Senate," Mr. Franken says.
Inside the Beltway: Hillary Clinton's big comeback begins Tuesday →
"When this first happened, if you had asked me, 'have you ever made a woman feel uncomfortable by the way you put your arm around her or touch her or something like that, I would've said no," Mr. Franken said on "Conan" about the circumstances that led to his resignation.
Al Franken: 'Frustrating' to watch former Senate colleagues hold hearings →


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Main Area and Open Discussion > General Software Discussion
'Connect to Internet' shortcut needed.
(1/4) > >>
When I am not using the internet, several programs that I only need online and the connection itself are disabled.
I have been trying to find a way to create a single keyboard shortcut that will allow me to enable both programs and connection with a single click, most recently I have tried Lacuna Launcher.
Starting the programs is not a problem but I have so far failed to find a way to start the connection from the same shortcut.
I have a shortcut in Quick Launch to the connection and if I click on properties the target shows as: {BA126ADB-2166-11D1-B1D0-00805FC1270E}, the 'Start in' box is empty.
I have not found any way to trigger either this shortcut of the connection itself from any program.
I have wondered whether it would be possible to create a batch file to do what I want but I suspect that if I could find the correct command it would work from a launcher as well.
I have the same situation on both Windows 7 and XP computers, any ideas?
Thanks for that.
I just downloaded NICToggle, I cannot try it at the moment as I do not want the connexion to drop.
One thing I did notice was that it puts an icon in the system tray which would be a problem on my Netbook.
Another thing is that it uses Devcon.exe which has two versions, x64 & x86.
On my computers Windows 7 is x64, XP is x86.
When I have the time I'll check through the other links on that thread as well, at least I have more ideas than I had when I posted earlier.
You could use the path to the shortcut file itself, in Lacuna Launcher. Just remember that shortcut files end in .LNK, even if you do not see this file extension visible in Explorer. ;)
Now when you run Lacuna Launcher, it will launch the shortcut, which in turn will launch your connection.
After two hours I have got part of the way there.
NICToggle provided me with an ID for the NIC which I then used to create a batch file with two shortcuts, enable and disable.
I removed the program but put a copy of Devcon.exe into the System 32 folder and the shortcuts work.
What I have not been able to do is create a batch file to first start the programs and then the NIC.
The items I am trying to run in order are as follows:
C:\Program Files (x86)\D4\D4.exe
C:\Program Files (x86)\Sandboxie\SbieCtrl.exe
C:\Program Files (x86)\PeerBlock\peerblock.exe
C:\Toggle Router\ToggleNIC_ON.bat.lnk
It would also be nice to create a batch file to stop them in reverse order.
I already had Hotkeyz installed and my thinking is to create the batch files and use that to activate them, tomorrow!(?)
I just caught your post as I was typing and it made me take a look, the shortcuts to the batch file for the NIC were showing as .bat the same as the file itself but when I copied the path it showed up as above.
I downloaded Lacuna Launcher a long time ago and put it with my 'might be useful one day downloads', when I couldn't get Hotkeyz to work with this I gave it a try, unfortunately I could not get it to work with that either.
I'll try again tomorrow.
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End Polio Night at the Washington Nationals
Posted by David Sterling
on Jun 14, 2016
Attend a National's baseball game and support the End Polio Now! Campaign on Saturday, July 2. 2016-2017 Rotary International President John Germ will be a special guest at the game. The July 2nd game will feature the Cincinnati Reds against the Nationals. Game starts at 7:15 PM at Nationals Park.
$5 from every ticket sold benefits the Rotary Foundation's PolioPlus Campaign.


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Archive for February 1st, 2019
The New York abortion law with Alicia Colon journalist
Guest: Alicia Colon, journalist…..We will discuss her new American Thinker article about New York's late term abortion law and The Catholic Church……and other stories……..click to listen:
Source: The New York abortion law with Alicia Colon, journalist 02/01 by Silvio Canto Jr | Politics Podcasts
Friday's video: An early view of 2020
Friday's video: An early view of 2020…….The Democrats are going further to the left….is that going to work in a general election? I don't think so!…..click to watch… https://t.co/9TDaxZld29 via @YouTube
— Silvio Canto, Jr. (@SCantojr) February 1, 2019
Memo to the people running the Trump 2020 campaign
As President Trump tweets about partial birth abortion, I hope that the GOP understands that Governor Cuomo, and those Democrats cheering, have given them an issue for 2020.
According to Pew, Hispanics are deeply divided on abortion:
49% say abortion should be legal in all or most cases, while 44% say it should be illegal.
As my late father used to say, that's "mucho hispanos" or, loosely translated, to lots of Hispanics.
As a Catholic, I know, and have participated, in "rosaries" of people praying for the end of abortion. Every Catholic church I know of sends people to the March of Life every year.
Yet, many of these Hispanics voted for Beto O'Rourke. Somehow, it did not occur to the Cruz campaign to run radio ads in Spanish radio reminding them that "Beto es aborto" or Beto is abortion.
My advice to the Trump 2020 people is to drop the niceties and go bold in Spanish-speaking communities.
It could go like this: "I create jobs, he (or she) supports the abortion of babies".
It's rough but someone has to hit Hispanics between the eyes and remind them that the party they support does not value life or marriage between a man and a woman.
P.S. You can listen to my show (Canto Talk) and follow me on Twitter.
Read more: https://www.americanthinker.com/blog/2019/02/memo_to_the_people_running_the_trump_2020_campaign.html#ixzz5eHeckJmN
Follow us: @AmericanThinker on Twitter | AmericanThinker on Facebook


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Parkinson's disease (PD) is a progressive movement disorder caused by the death of dopamine-producing cells in the midbrain. There is a need for frequent symptom assessment, since the treatment needs to be individualized as the disease progresses. The aim of this paper was to verify and further investigate the clinimetric properties of an entropy-based method for measuring PD-related upper limb temporal irregularities during spiral drawing tasks. More specifically, properties of a temporal irregularity score (TIS) for patients at different stages of PD, and medication time points were investigated. Nineteen PD patients and 22 healthy controls performed repeated spiral drawing tasks on a smartphone. Patients performed the tests before a single levodopa dose and at specific time intervals after the dose was given. Three movement disorder specialists rated videos of the patients based on the unified PD rating scale (UPDRS) and the Dyskinesia scale. Differences in mean TIS between the groups of patients and healthy subjects were assessed. Test-retest reliability of the TIS was measured. The ability of TIS to detect changes from baseline (before medication) to later time points was investigated. Correlations between TIS and clinical rating scores were assessed. The mean TIS was significantly different between healthy subjects and patients in advanced groups (p-value = 0.02). Test-retest reliability of TIS was good with Intra-class Correlation Coefficient of 0.81. When assessing changes in relation to treatment, TIS contained some information to capture changes from Off to On and wearing off effects. However, the correlations between TIS and clinical scores (UPDRS and Dyskinesia) were weak. TIS was able to differentiate spiral drawings drawn by patients in an advanced stage from those drawn by healthy subjects, and TIS had good test-retest reliability. TIS was somewhat responsive to single-dose levodopa treatment. Since TIS is an upper limb high-frequency-based measure, it cannot be detected during clinical assessment.
This paper presents a framework in which satellite images are classified and augmented with additional semantic information to enable queries about what can be found on the map at a particular location, but also about paths that can be taken. This is achieved by a reasoning framework based on qualitative spatial reasoning that is able to find answers to high level queries that may vary on the current situation. This framework called SemCityMap, provides the full pipeline from enriching the raw image data with rudimentary labels to the integration of a knowledge representation and reasoning methods to user interfaces for high level querying. To illustrate the utility of SemCityMap in a disaster scenario, we use an urban environment—central Stockholm—in combination with a flood simulation. We show that the system provides useful answers to high-level queries also with respect to the current flood status. Examples of such queries concern path planning for vehicles or retrieval of safe regions such as "find all regions close to schools and far from the flooded area". The particular advantage of our approach lies in the fact that ontological information and reasoning is explicitly integrated so that queries can be formulated in a natural way using concepts on appropriate level of abstraction, including additional constraints.
Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.
The problem of gas detection is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. In this paper, we address the problem of gas detection in large areas with a mobile robotic platform equipped with a remote gas sensor. We propose an algorithm that leverages a novel method based on convex relaxation for quickly solving sensor placement problems, and for generating an efficient exploration plan for the robot. To demonstrate the applicability of our method to real-world environments, we performed a large number of experimental trials, both on randomly generated maps and on the map of a real environment. Our approach proves to be highly efficient in terms of computational requirements and to provide nearly-optimal solutions.
The past few years have witnessed an increase in the development of wearable sensors for health monitoring systems. This increase has been due to several factors such as development in sensor technology as well as directed efforts on political and stakeholder levels to promote projects which address the need for providing new methods for care given increasing challenges with an aging population. An important aspect of study in such system is how the data is treated and processed. This paper provides a recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services. In particular, the paper outlines the more common data mining tasks that have been applied such as anomaly detection, prediction and decision making when considering in particular continuous time series measurements. Moreover, the paper further details the suitability of particular data mining and machine learning methods used to process the physiological data and provides an overview of the properties of the data sets used in experimental validation. Finally, based on this literature review, a number of key challenges have been outlined for data mining methods in health monitoring systems
This paper describes the development and validation of the currently smallest aerial platform with olfaction capabilities. The developed Smelling Nano Aerial Vehicle (SNAV) is based on a lightweight commercial nano-quadcopter (27 g) equipped with a custom gas sensing board that can host up to two in situ metal oxide semiconductor (MOX) gas sensors. Due to its small form-factor, the SNAV is not a hazard for humans, enabling its use in public areas or inside buildings. It can autonomously carry out gas sensing missions of hazardous environments inaccessible to terrestrial robots and bigger drones, for example searching for victims and hazardous gas leaks inside pockets that form within the wreckage of collapsed buildings in the aftermath of an earthquake or explosion. The first contribution of this work is assessing the impact of the nano-propellers on the MOX sensor signals at different distances to a gas source. A second contribution is adapting the 'bout' detection algorithm, proposed by Schmuker et al. (2016) to extract specific features from the derivative of the MOX sensor response, for real-time operation. The third and main contribution is the experimental validation of the SNAV for gas source localization (GSL) and mapping in a large indoor environment (160 m2) with a gas source placed in challenging positions for the drone, for example hidden in the ceiling of the room or inside a power outlet box. Two GSL strategies are compared, one based on the instantaneous gas sensor response and the other one based on the bout frequency. From the measurements collected (in motion) along a predefined sweeping path we built (in less than 3 min) a 3D map of the gas distribution and identified the most likely source location. Using the bout frequency yielded on average a higher localization accuracy than using the instantaneous gas sensor response (1.38 m versus 2.05 m error), however accurate tuning of an additional parameter (the noise threshold) is required in the former case. The main conclusion of this paper is that a nano-drone has the potential to perform gas sensing tasks in complex environments.
In this paper, we introduce a Bayesian time series model approach for gas concentration estimation using Metal Oxide (MOX) sensors in Open Sampling System (OSS). Our approach focuses on the compensation of the slow response of MOX sensors, while concurrently solving the problem of estimating the gas concentration in OSS. The proposed Augmented Switching Linear System model allows to include all the sources of uncertainty arising at each step of the problem in a single coherent probabilistic formulation. In particular, the problem of detecting on-line the current sensor dynamical regime and estimating the underlying gas concentration under environmental disturbances and noisy measurements is formulated and solved as a statistical inference problem. Our model improves, with respect to the state of the art, where system modeling approaches have been already introduced, but only provided an indirect relative measures proportional to the gas concentration and the problem of modeling uncertainty was ignored. Our approach is validated experimentally and the performances in terms of speed of and quality of the gas concentration estimation are compared with the ones obtained using a photo-ionization detector.
Emergency personnel, such as firefighters, bomb technicians, and urban search and rescue specialists, can be exposed to a variety of extreme hazards during the response to natural and human-made disasters. In many of these scenarios, a risk factor is the presence of hazardous airborne chemicals. The recent and rapid advances in robotics and sensor technologies allow emergency responders to deal with such hazards from relatively safe distances. Mobile robots with gas-sensing capabilities allow to convey useful information such as the possible source positions of different chemicals in the emergency area. However, common gas sampling procedures for laboratory use are not applicable due to the complexity of the environment and the need for fast deployment and analysis. In addition, conventional gas identification approaches, based on supervised learning, cannot handle situations when the number and identities of the present chemicals are unknown. For the purpose of emergency response, all the information concluded from the gas detection events during the robot exploration should be delivered in real time. To address these challenges, we developed an online gas-sensing system using an electronic nose. Our system can automatically perform unsupervised learning and update the discrimination model as the robot is exploring a given environment. The online gas discrimination results are further integrated with geometrical information to derive a multi-compound gas spatial distribution map. The proposed system is deployed on a robot built to operate in harsh environments for supporting fire brigades, and is validated in several different real-world experiments of discriminating and mapping multiple chemical compounds in an indoor open environment. Our results show that the proposed system achieves high accuracy in gas discrimination in an online, unsupervised, and computationally efficient manner. The subsequently created gas distribution maps accurately indicate the presence of different chemicals in the environment, which is of practical significance for emergency response.
Chemical detection systems based on chemo-resistive sensors usually include a gas chamber to control the sample air flow and to minimize turbulence. However, such a kind of experimental setup does not reproduce the gas concentration fluctuations observed in natural environments and destroys the spatio-temporal information contained in gas plumes. Aiming at reproducing more realistic environments, we utilize a wind tunnel with two independent gas sources that get naturally mixed along a turbulent flow. For the first time, chemo-resistive gas sensors are exposed to dynamic gas mixtures generated with several concentration levels at the sources. Moreover, the ground truth of gas concentrations at the sensor location was estimated by means of gas chromatography-mass spectrometry. We used a support vector machine as a tool to show that chemo-resistive transduction can be utilized to reliably identify chemical components in dynamic turbulent mixtures, as long as sufficient gas concentration coverage is used. We show that in open sampling systems, training the classifiers only on high concentrations of gases produces less effective classification and that it is important to calibrate the classification method with data at low gas concentrations to achieve optimal performance.
Cybersecurity is one of the biggest challenges in the Internet of Things (IoT) domain, as well as one of its most embarrassing failures. As a matter of fact, nowadays IoT devices still exhibit various shortcomings. For example, they lack secure default configurations and sufficient security configurability. They also lack rich behavioural descriptions, failing to list provided and required services. To answer this problem, we envision a future where IoT devices carry behavioural contracts and Fog nodes store network policies. One requirement is that contract consistency must be easy to prove. Moreover, contracts must be easy to verify against network policies. In this paper, we propose to combine the security-by-contract (S × C) paradigm with Fog computing to secure IoT devices. Following our previous work, first we formally define the pillars of our proposal. Then, by means of a running case study, we show that we can model communication flows and prevent information leaks. Last, we show that our contribution enables a holistic approach to IoT security, and that it can also prevent unexpected chains of events.
Ventilation systems are critically important components of many public buildings and workspaces. Proper ventilation is often crucial for preventing accidents, such as explosions in mines and avoiding health issues, for example, through long-term exposure to harmful respirable matter. Validation and maintenance of ventilation systems is thus of key interest for plant operators and authorities. However, methods for ventilation characterization, which allow us to monitor whether the ventilation system in place works as desired, hardly exist. This article addresses the critical challenge of ventilation characterization-measuring and modelling air flow at micro-scales-that is, creating a high-resolution model of wind speed and direction from airflow measurements. Models of the near-surface micro-scale flow fields are not only useful for ventilation characterization, but they also provide critical information for planning energy-efficient paths for aerial robots and many applications in mobile robot olfaction. In this article we propose a heterogeneous measurement system composed of static, continuously sampling sensing nodes, complemented by localized measurements, collected during occasional sensing missions with a mobile robot. We introduce a novel, data-driven, multi-domain airflow modelling algorithm that estimates (1) fields of posterior distributions over wind direction and speed ("ventilation maps", spatial domain); (2) sets of ventilation calendars that capture the evolution of important airflow characteristics at measurement positions (temporal domain); and (3) a frequency domain analysis that can reveal periodic changes of airflow in the environment. The ventilation map and the ventilation calendars make use of an improved estimation pipeline that incorporates a wind sensor model and a transition model to better filter out sporadic, noisy airflow changes. These sudden changes may originate from turbulence or irregular activity in the surveyed environment and can, therefore, disturb modelling of the relevant airflow patterns. We tested the proposed multi-domain airflow modelling approach with simulated data and with experiments in a semi-controlled environment and present results that verify the accuracy of our approach and its sensitivity to different turbulence levels and other disturbances. Finally, we deployed the proposed system in two different real-world industrial environments (foundry halls) with different ventilation regimes for three weeks during full operation. Since airflow ground truth cannot be obtained, we present a qualitative discussion of the generated airflow models with plant operators, who concluded that the computed models accurately depicted the expected airflow patterns and are useful to understand how pollutants spread in the work environment. This analysis may then provide the basis for decisions about corrective actions to avoid long-term exposure of workers to harmful respirable matter.
In this paper, we address the task of gas distribution modeling in scenarios where multiple heterogeneous compounds are present. Gas distribution modeling is particularly useful in emission monitoring applications where spatial representations of the gaseous patches can be used to identify emission hot spots. In realistic environments, the presence of multiple chemicals is expected and therefore, gas discrimination has to be incorporated in the modeling process. The approach presented in this work addresses the task of gas distribution modeling by combining different non selective gas sensors. Gas discrimination is addressed with an open sampling system, composed by an array of metal oxide sensors and a probabilistic algorithm tailored to uncontrolled environments. For each of the identified compounds, the mapping algorithm generates a calibrated gas distribution model using the classification uncertainty and the concentration readings acquired with a photo ionization detector. The meta parameters of the proposed modeling algorithm are automatically learned from the data. The approach was validated with a gas sensitive robot patrolling outdoor and indoor scenarios, where two different chemicals were released simultaneously. The experimental results show that the generated multi compound maps can be used to accurately predict the location of emitting gas sources.
Fall incidents among the elderly often occur in the home and can cause serious injuries affecting their independent living. This paper presents an approach where data from wearable sensors integrated in a smart home environment is combined using a dynamic Bayesian network. The smart home environment provides contextual data, obtained from environmental sensors, and contributes to assessing a fall risk probability. The evaluation of the developed system is performed through simulation. Each time step is represented by a single user activity and interacts with a fall sensors located on a mobile device. A posterior probability is calculated for each recognized activity or contextual information. The output of the system provides a total risk assessment of falling given a response from the fall sensor.
Estimating distances between people and robots plays a crucial role in understanding social Human-Robot Interaction (HRI) from an egocentric view. It is a key step if robots should engage in social interactions, and to collaborate with people as part of human-robot teams. For distance estimation between a person and a robot, different sensors can be employed, and the number of challenges to be addressed by the distance estimation methods rise with the simplicity of the technology of a sensor. In the case of estimating distances using individual images from a single camera in a egocentric position, it is often required that individuals in the scene are facing the camera, do not occlude each other, and are fairly visible so specific facial or body features can be identified. In this paper, we propose a novel method for estimating distances between a robot and people using single images from a single egocentric camera. The method is based on previously proven 2D pose estimation, which allows partial occlusions, cluttered background, and relatively low resolution. The method estimates distance with respect to the camera based on the Euclidean distance between ear and torso of people in the image plane. Ear and torso characteristic points has been selected based on their relatively high visibility regardless of a person orientation and a certain degree of uniformity with regard to the age and gender. Experimental validation demonstrates effectiveness of the proposed method.
Airborne chemical sensing with mobile robots has been an active research area since the beginning of the 1990s. This article presents a review of research work in this field, including gas distribution mapping, trail guidance, and the different subtasks of gas source localisation. Due to the difficulty of modelling gas distribution in a real world environment with currently available simulation techniques, we focus largely on experimental work and do not consider publications that are purely based on simulations.
This paper investigates a rapid and accurate detection system for spoilage in meat. We use unsupervised feature learning techniques (stacked restricted Boltzmann machines and auto-encoders) that consider only the transient response from undoped zinc oxide, manganese-doped zinc oxide, and fluorine-doped zinc oxide in order to classify three categories: the type of thin film that is used, the type of gas, and the approximate ppm-level of the gas. These models mainly offer the advantage that features are learned from data instead of being hand-designed. We compare our results to a feature-based approach using samples with various ppm level of ethanol and trimethylamine (TMA) that are good markers for meat spoilage. The result is that deep networks give a better and faster classification than the feature-based approach, and we thus conclude that the fine-tuning of our deep models are more efficient for this kind of multi-label classification task.
This paper presents the development and evaluation of a method for enabling quantitative and automatic scoring of alternating tapping performance of patients with Parkinson"s disease (PD). Ten healthy elderly subjects and 95 patients in different clinical stages of PD have utilized a touch-pad handheld computer to perform alternate tapping tests in their home environments. First, a neurologist used a web-based system to visually assess impairments in four tapping dimensions ("speed", "accuracy", "fatigue" and "arrhythmia") and a global tapping severity (GTS). Second, tapping signals were processed with time series analysis and statistical methods to derive 24 quantitative parameters. Third, principal component analysis was used to reduce the dimensions of these parameters and to obtain scores for the four dimensions. Finally, a logistic regressionclassifier was trained using a 10-fold stratified cross-validation to map the reduced parameters to the corresponding visually assessed GTS scores. Results showed that the computed scores correlated well to visually assessed scores and were significantly different across Unified Parkinson"s Disease Rating Scale scores of upper limb motor performance. In addition, they had good internal consistency, had good ability to discriminate between healthy elderly and patients in different disease stages, had good sensitivity to treatment interventions and could reflect the natural disease progression over time. In conclusion, the automatic method can be useful to objectively assess the tapping performance ofPD patients and can be included in telemedicine tools for remote monitoring of tapping.
A challenge for the clinical management of advanced Parkinson's disease (PD) patients is the emergence of fluctuations in motor performance, which represents a significant source of disability during activities of daily living of the patients. There is a lack of objective measurement of treatment effects for in-clinic and at-home use that can provide an overview of the treatment response. The objective of this paper was to develop a method for objective quantification of advanced PD motor symptoms related to off episodes and peak dose dyskinesia, using spiral data gathered by a touch screen telemetry device. More specifically, the aim was to objectively characterize motor symptoms (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Digitized upper limb movement data of 65 advanced PD patients and 10 healthy (HE) subjects were recorded as they performed spiral drawing tasks on a touch screen device in their home environment settings. Several spatiotemporal features were extracted from the time series and used as inputs to machine learning methods. The methods were validated against ratings on animated spirals scored by four movement disorder specialists who visually assessed a set of kinematic features and the motor symptom. The ability of the method to discriminate between PD patients and HE subjects and the test-retest reliability of the computed scores were also evaluated. Computed scores correlated well with mean visual ratings of individual kinematic features. The best performing classifier (Multilayer Perceptron) classified the motor symptom (bradykinesia or dyskinesia) with an accuracy of 84% and area under the receiver operating characteristics curve of 0.86 in relation to visual classifications of the raters. In addition, the method provided high discriminating power when distinguishing between PD patients and HE subjects as well as had good test-retest reliability. This study demonstrated the potential of using digital spiral analysis for objective quantification of PD-specific and/or treatment-induced motor symptoms.
This work presents a simulation framework developed under the widely used Robot Operating System (ROS) to enable the validation of robotics systems and gas sensing algorithms under realistic environments. The framework is rooted in the principles of computational fluid dynamics and filament dispersion theory, modeling wind flow and gas dispersion in 3D real-world scenarios (i.e., accounting for walls, furniture, etc.). Moreover, it integrates the simulation of different environmental sensors, such as metal oxide gas sensors, photo ionization detectors, or anemometers. We illustrate the potential and applicability of the proposed tool by presenting a simulation case in a complex and realistic office-like environment where gas leaks of different chemicals occur simultaneously. Furthermore, we accomplish quantitative and qualitative validation by comparing our simulated results against real-world data recorded inside a wind tunnel where methane was released under different wind flow profiles. Based on these results, we conclude that our simulation framework can provide a good approximation to real world measurements when advective airflows are present in the environment.
This article presents a novel approach for vision-based detection and tracking of humans wearing high-visibility clothing with retro-reflective markers. Addressing industrial applications where heavy vehicles operate in the vicinity of humans, we deploy a customized stereo camera setup with active illumination that allows for efficient detection of the reflective patterns created by the worker's safety garments. After segmenting reflective objects from the image background, the interest regions are described with local image feature descriptors and classified in order to discriminate safety garments from other reflective objects in the scene. In a final step, the trajectories of the detected humans are estimated in 3D space relative to the camera. We evaluate our tracking system in two industrial real-world work environments on several challenging video sequences. The experimental results indicate accurate tracking performance and good robustness towards partial occlusions, body pose variation, and a wide range of different illumination conditions.
This paper presents the sensor network infrastructure for a home care system that allows long-term monitoring of physiological data and everyday activities. The aim of the proposed system is to allow the elderly to live longer in their home without compromising safety and ensuring the detection of health problems. The system offers the possibility of a virtual visit via a teleoperated robot. During the visit, physiological data and activities occurring during a period of time can be discussed. These data are collected from physiological sensors (e.g., temperature, blood pressure, glucose) and environmental sensors (e.g., motion, bed/chair occupancy, electrical usage). The system can also give alarms if sudden problems occur, like a fall, and warnings based on more long-term trends, such as the deterioration of health being detected. It has been implemented and tested in a test environment and has been deployed in six real homes for a year-long evaluation. The key contribution of the paper is the presentation of an implemented system for ambient assisted living (AAL) tested in a real environment, combining the acquisition of sensor data, a flexible and adaptable middleware compliant with the OSGistandard and a context recognition application. The system has been developed in a European project called GiraffPlus.
Many applications of metal oxide gas sensors can benefit from reliable algorithmsto detect significant changes in the sensor response. Significant changes indicate a changein the emission modality of a distant gas source and occur due to a sudden change ofconcentration or exposure to a different compound. As a consequence of turbulent gastransport and the relatively slow response and recovery times of metal oxide sensors,their response in open sampling configuration exhibits strong fluctuations that interferewith the changes of interest. In this paper we introduce TREFEX, a novel change pointdetection algorithm, especially designed for metal oxide gas sensors in an open samplingsystem. TREFEX models the response of MOX sensors as a piecewise exponentialsignal and considers the junctions between consecutive exponentials as change points. Weformulate non-linear trend filtering and change point detection as a parameter-free convexoptimization problem for single sensors and sensor arrays. We evaluate the performanceof the TREFEX algorithm experimentally for different metal oxide sensors and severalgas emission profiles. A comparison with the previously proposed GLR method shows aclearly superior performance of the TREFEX algorithm both in detection performance andin estimating the change time.
We address the problem of detecting changes in the activity of a distant gas source from the response of an array of metal oxide (MOX) gas sensors deployed in an open sampling system. The main challenge is the turbulent nature of gas dispersion and the response dynamics of the sensors. We propose a change point detection approach and evaluate it on individual gas sensors in an experimental setup where a gas source changes in intensity, compound, or mixture ratio. We also introduce an efficient sensor selection algorithm and evaluate the change point detection approach with the selected sensor array subsets.
Mobile robots are of great help for automatic monitoring tasks in different environments. One of the first tasks that needs to be addressed when creating these kinds of robotic systems is modeling the robot environment. This work proposes a pipeline to build an enhanced visual model of a robot environment indoors. Vision based recognition approaches frequently use quantized feature spaces, commonly known as Bag of Words (BoW) or vocabulary representations. A drawback using standard BoW approaches is that semantic information is not considered as a criteria to create the visual words. To solve this challenging task, this paper studies how to leverage the standard vocabulary construction process to obtain a more meaningful visual vocabulary of the robot work environment using image sequences. We take advantage of spatio-temporal constraints and prior knowledge about the position of the camera. The key contribution of our work is the definition of a new pipeline to create a model of the environment. This pipeline incorporates (1) tracking information to the process of vocabulary construction and (2) geometric cues to the appearance descriptors. Motivated by long term robotic applications, such as the aforementioned monitoring tasks, we focus on a configuration where the robot camera points to the ceiling, which captures more stable regions of the environment. The experimental validation shows how our vocabulary models the environment in more detail than standard vocabulary approaches, without loss of recognition performance. We show different robotic tasks that could benefit of the use of our visual vocabulary approach, such as place recognition or object discovery. For this validation, we use our publicly available data-set.
In disaster scenarios, where toxic material is leaking, gas source localization is a common but also dangerous task. To reduce threats for human operators, we propose an intelligent sampling strategy that enables a multi-robot system to autonomously localize unknown gas sources based on gas concentration measurements. This paper discusses a probabilistic, model-based approach for incorporating physical process knowledge into the sampling strategy. We model the spatial and temporal dynamics of the gas dispersion with a partial differential equation that accounts for diffusion and advection effects. We consider the exact number of sources as unknown, but assume that gas sources are sparsely distributed. To incorporate the sparsity assumption we make use of sparse Bayesian learning techniques. Probabilistic modeling can account for possible model mismatch effects that otherwise can undermine the performance of deterministic methods. In the paper we evaluate the proposed gas source localization strategy in simulations using synthetic data. Compared to real-world experiments, a simulated environment provides us with ground truth data and reproducibility necessary to get a deeper insight into the proposed strategy. The investigation shows that (i) the probabilistic model can compensate imperfect modeling; (ii) the sparsity assumption significantly accelerates the source localization; and (iii) a-priori advection knowledge is of advantage for source localization, however, it is only required to have a certain level of accuracy. These findings will help in the future to parameterize the proposed algorithm in real world applications.


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College Focus: Penn State, No not UPenn!
September 30, 2019
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Penn State is a public school in a small college town. The school is widely known for Berkey Creamery Ice Cream, which you can order online at https://creamery.psu.edu/ and have delivered to your home in California, and for being home to one of the largest fraternity hubs in the country. But now on to the real stuff!
The graduation rate is 86% and the acceptance rate is 56%. In-state students pay about $36,500 before aid and out-of-state students pay about $51,500 before aid. The cost after aid is usually around $30k.
To even qualify for Penn State, the average GPA is 3.58 which is pretty competitive so you'll need a mixture of A's and B's and very few C's to get in. Even though In-state and out-of-state students pay a big difference, they are both equal in the scholarship process! The typical Penn State scholarship is between $1,500 to $3,000 per academic year.
Penn State is said to have amazing students and faculty and apparently that's true because 1 out of 117 Americans with a college degree is a Penn State graduate!
Lastly, they have something called The Lion Shrine, and it is the most photographed site on the Penn State campus. The Lion Shrine was a gift from the class of 1940 and is home to many very awkward family portraits, so if Penn State is for you, be sure to stop by there!


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Deepanshu Singh is teaching live on Unacademy Plus
(HINDI DAILY ANALYSIS OF THE HINDU 21ST JANUARY 20127 (HINDID DAILY ANALYSIS OF THE HINDU 10 MINUTES Presented By
ABOUT ME . Educator @ unacademy B.Tech. Comp. Sc. (Hons.) B. 1ec NTSE and Debating Champion Appeared for CSE and IFoS mains Interests: Music, Quizzing, Fitness & Photography RATE REVIEW RECOMMEND . https:L/unacademy.com/user/deepanshu.n.singh
PRACTICE QUESTION Which Indian airport has become the second airport in the Asia-Pacific region to achieve carbon neutral status? A. Kempegowda International Airport, Bangalore B. Sardar Vallabhbhai Patel International Airport, Ahmedabad C. Indira Gandhi International (IGI) Airport, New Delhi D. Rajiv Gandhi International Airport (RGIA), Hyderabad ID. Rajx Gandhi Interational Airt(RGIA), Hyderabad Post your answers below! (without googling) Yesterday's answer-B, Haryana
NATIONAL NEWs AG recall of verdict backing Lodha report .AG appeared for first time in BCCI - Lodha committee spat, seeking complete recall of July 18 judgement upholding Lodha committee reforms AG represented Railways, armed forces, association of Indian universities. AG contended that these three bodies are great contributors in cricket but Lodha committee report had gone for "One state, One vote " system, thus making these three bodies as "associated members" stripping them off their voting powers A glance at major reforms proposed by Lodha committee- 1- Separate governing bodies for IPL and BCCI, 2- Legalise betting but criminalise match fixing, 3- 9 member Apex council replace 14 member BCCI Working Committee, 4- Separating governance into 2 parts: cricketing and non cricketing 5- One person, one post, former HC judge to be Ethics officer, former SC judge as ombudsman to resolve internal dispute ,6- Bring BCCI under purview of RTI act,7- One state, One vote AG questioned on barring appointment of minister as office bearer of private body BCCI asking why can't railway minister become office bearer? He asked to recall court order as Lodha committee was constituted to weed ou problem of match fixing but it crossed its mandate by becoming reformist body .
NATIONAL NEWS .Rolls Rovce hired defense brokers . British high court had found Rolls Royce guilty of engaging middleman for swinging defence contacts between 2005-2009 , violating Indian law Company also paid bribes to Income tax official to remove list of middlemen recovered during raid on its India office 2 major defence deals- Advanced Jet Trainer Hawk aircraft for Air force and Pegasus engine for Navy's sea Harrier aircraft, involved kickbacks In none of Rolls Royce accounts were payments regarding contract was marked "Advisor Remuneration", thus proving kickback in deals Taking cognizance of ailing Procurement policy, recently Defence Procurement policy was unveiled in 2016 Special features of DEFENCE PROCUREMENT POLICY 2016- 1- Capital Acquisition divided into three categories ie Buy (outright purchase of equipment,whether Indian, IDDM- Indigenously Designed Developed and Manufacture ,or global), Buy and Make and Make category (long term Indigenous defence capabilities and procurement). It empowers DAC (Defence Acquisition Council) to fast track acquisition process, earlier in hand of armed forces 2- Decreasing order of priority for Procurement from Make (IDDM) to Buy (global) DPP framed on basis of recommendations of Dhirendra Singh committee report . .
NATIONAL NEWS . Why public land for places of worship, ask SC . "Is it justified for secular govt to part with acres of public land for religious places of worship "asks CJI Khehar .It is against doctrine of Basic Structure . In SR Bommai case, SC held that "Constitution prevents the state from either identifying itself with or favoring any particular religion, sect or denomination" Legal experts divided in SC holding order Opinions are divided on agreeing of SC to stay its jallikattu judgement on Centre's order Some legal experts say it as "unprecedented and unofficial stay of the delivery of judgement" while other say it is just an act of practicality in the light of talks that an ordinance may be issued, taking into consideration of public opinion of bringing back jallikattu New ordinance could have been passed circumventing SC order on jallikattu, making it futile to ban by SC order Other legal experts say that week delay can lead to promulgation of ordinance that could defeat 2014 ban anyways. To delay or not, Centre was ready with ordinance route Former judges asserted that state and center govt were ready for compromise legislation, by not delaying it, purpose of avoiding animal cruelty could have been defeated. Moreover, govt came for delay rather than accusing SC for law and order situation. Independence of judiciary is not threatened . . . . .
NATIONAL NEWs Election Commission refuses to scrub of indelible ink Officially it has been clarified that inedible ink would be used in elections in 5 states, rather than marker pern Marker pen is more cost effective (50% cheaper) than indelible ink and were used by Kerala in civic polls and council polls in Maharashtra Indelible ink produced one of its own kind of PSU - MPVL Mysore Paints and Varnish limited) MPVL had produced prototypes of marker pens with ink vials with assistance of National Physical Laboratory and National Chemical Laboratory, National Research Development Corporation. MPVL was started by maharaja of Mysore in 1937 and is providing ink for every govt election in India since 1962. . 2016 is the hottest vear on record . A report by the National Oceanic and Atmospheric Administration of US 2016: Taking a global average of the land and sea surface temperatures for the entire year, the data for 2016 was the . Temperatures spiked to new national highs in parts of India, Kuwait and Iran, while sea ice melted faster than ever in the . The Earth sweltered under the hottest temperatures in modern times for the third year in a row, raising new concerns . The global average temperature last year was 1.69 Fahrenheit(0.94 C) above the 20th century average, and 0.07 highest since record keeping began in 1880 fragile Arctic about the quickening pace of climate change (0.04 C) warmer than in 2015, the last record-setting year
NATIONAL NEWS . Indian peak: Unusual spikes in temperature were seen in Phalodi, India, which reached 124 F (51 C) on May 19 - . Asian peak: Meanwhile, Mitribah, Kuwait hit an all-time high of 129 F (54 C) on July 21, which may be the highest ' The World Meteorological Organization in Geneva, Switzerland: Atmospheric concentrations of both carbon marking India's hottest temperature ever temperature ever recorded in all of Asia dioxide and methane reached record levels . Reasons: The main reason for the rise is the burning of fossil fuels like oil and gas, which send carbon dioxide, methane and other pollutants known as greenhouse gasses into the atmosphere and warm the planet Another factor has been the Pacific Ocean warming trend of El Nino, which exacerbates the planet's already rising warmth
INTERNATIONAL NEWS India's steps up submarine induction as Chinese presence grows in region Keeping itself in line with its new Maritime doctrine that places India as "net security provider" in Indian Ocean Region (IOR) two Scorpene clad diesel-electric submarines are expected to be inducted into Indian navy this year and launch third one as officials acknowledged Chinese Maritime presence in Indian ocean region First Scorpene class submarine Kalvari is expected to finish its sea trials before monsoons. Second of Scorpene class submarine Khanderi ( named on maratha fort was launched into sea last week and would be commissioned by thus year India had contracted with six Scorpene submarines from DCNS of France to be built locally with technology transfer. Navy plans to induct all 6 by 2020 Keeping eye on sub surface Chinese movement in Indian ocean, India procured P-81 long range Maritime patrol aircraft from US . one as orlicials acknowledge . .Posing of submarine in Indian ocean is signature of Chinese intent and capability which India must readily answer
BUSINESS NEWS Centre shifts disinvestment advice to new department . Govt has transferred the role of advising the government on how to utilise the proceeds from disinvestment from the Department of Investment and Public Asset Management (DIPAM) to the Department of Economic Affairs . The Department of Economic Affairs in the Finance Ministry will now be in charge of "financial policy in regard . It seems to be streamlining the process because the Department of Economic Affairs is in charge of budget . It would have been unusual if the role had been shifted to another Ministry altogether to the utilisation of the proceeds of disinvestment channelised into the National Investment Fund making, which includes deciding what to do with the proceeds from disinvestment Background: During his Budget speech 2016-17, Finance Minister Arun Jaitley had announced renaming the previously known Department of Investment as DIPAM Also, the Union Cabinet had recently approved an alternative mechanism to decide the modalities to do with stake sales in public sector undertakings (PSUs), so as to speed up the process . .