SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES VETERAN STATUS - DP02 Universe - Civilian population 18 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Veteran status is used to identify people with active duty military service and service in the military Reserves and the National Guard. Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps.

This dataset displays Air Force Casualty and injury statistic summaries by state for Operations Enduring Freedom and Iraqi Freedom. This data is current as of April 26, 2008. Included in the data is a breakdown as to hostile and non hostile death/injuries. H=Hostile; NH=Non-hostile * WIA (est) = Additional estimated WIA for the state based on reported losses (not all WIA records have home of record detail) * WIA (act) = Actual Wounded in Action (WIA) with home of record for the specified state

This dataset contains the locations of Indian Air Force stations and forward base support units. The maintenance and medical commands are not included. For more detailed information on units, squadron and establishments, visit http://www.bharat-rakshak.com/IAF/Units/index.html Data found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/822506/an/0/page/8#822506

Content

This dataset consists of digitized paper mission reports from WWII. Each record includes the date, conflict, geographic location, and other data elements to form a live-action sequence of air warfare from 1939 to 1945. The records include U.S. and Royal Air Force data, in addition to some Australian, New Zealand and South African air force missions.

Acknowledgements

Lt Col Jenns Robertson of the US Air Force developed the Theater History of Operations Reports (THOR) and posted them online after receiving Department of Defense approval.

Comprehensive demographic dataset for Whiteman Air Force Base, MO, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

This dataset displays the number of active duty personnel and their location, by country. Included in these figures are the numbers for Army, Navy, Marine, and Air Force branches of the United States Military. Note: this data includes rounded figures for personnel involved in Operation Iraqi Freedom (OIF)and Operation Enduring Freedom (OEF). This data was collected from the department of Defense directly at: http://siadapp.dmdc.osd.mil/personnel/MILITARY/history/hst0706.pdf .

This report summarizes our contaminants investigation at the abandoned Cold Bay Air Force Station (Station), located on the Izembek National Wildlife Refuge at Grant Point. Our investigation was conducted in 1988 by Wayne M. Crayton (Ecological Services Anchorage) and members of your staff. The report centers on determining what, if any, contaminants from the facility may have entered the surrounding refuge environment and is provided to assist you in managing contaminant-related issues on your refuge. Included is a summary of field activities, an interpretation of selected analytical data and recommendations to remediate any identified contaminant problems.

Percentage representation of Employment Equity (EE) Designated Group Members (DGM) in the Canadian Armed Forces(CAF). Data is grouped by CAF component and Rank Category (Officer or Non-commissioned Member) as well as by Designated Environmental Percentage representation of Employment Equity (EE) Designated Group Members (DGM) in the Canadian Armed Forces(CAF). Data is grouped by CAF component and Rank Category (Officer or Non-commissioned Member) as well as by Designated Environmental Uniform (DEU). These DEUs are Sea (Royal Canadian Navy), Land (Canadian Army) and Air (Royal Canadian Air Force).

The Departmental Results Framework (DRF) is the strategic view of Defence’s mandate, displaying its Core Responsibilities and key performance information. It represents the corporate framework used to demonstrate plans, achievements, expenditures and performance results. This helps Canadians and parliamentarians understand what we do, what we seek to achieve, and how we will determine if we have achieved it. This dataset presents DRF 6.1 entitled “Naval, Army, and Air Force Bases enable military operations and defence activities” and its indicator 6.1.1 entitled “ Percentage of single quarters accommodations that can be used”. This indicator shows the extent to which single quarters accommodations are available for use by members on Land Bases. The percentage represents the amount of single accommodations rooms available for use out of all the single accommodations.

NB This is the second of two interviews with Connie Eggink. Due to GDPR considerations the interview and accompanying visual materials are not open to public review. In 1970, Connie Eggink led a Schiedam exchange program starting in Esslingen, Germany. Esslingen played a significant role in organizing the exchange, which involved three other cities: Schiedam, Norrköping, and for the first time, Velenje from Yugoslavia. Otto Weinmann, a key figure in the Stadtjungendring, was instrumental in involving Velenje and promoting the European idea. The Velenje group stood out for being older and carefully selected to represent their country during the Tito era. Despite language barriers, the Yugoslavian group was intriguing for the other participants. The exchange garnered attention from South German Radio, which conducted interviews discussing perspectives on European unity. In 1971, Connie's group traveled to Norrkoping, Sweden. They were invited to visit the Swedish Air Force, which was proud of its military equipment, showcasing their newly acquired F-13 aircraft. Connie was impressed by the presence of many women in the military, reflecting a more advanced state of gender equality compared to the Netherlands at the time. Concerns about the Iron Curtain were prevalent, with a collective desire to prevent intrusion from communist nations. The group expressed relief that countries behind the Iron Curtain were capable of defending themselves, though there was a reluctance for NATO involvement. Annually, a meeting convened in Esslingen where administrators from various regions gathered to arrange exchange programs, ensuring simultaneous involvement of three groups from three countries. Photographs from these meetings captured the stark contrast between Dutch representatives, characterized by their casual appearance with beards and long hair, and officials from France, Germany, Italy, and Sweden, who appeared more formal and well-groomed. These meetings involved decision-makers such as administrators, councilors, and mayors, who were keen on their cities participating. Despite diverse backgrounds, they shared a commitment to promoting peace, driven by their experiences of war and a determination to prevent its recurrence, marking the ethos of their generation. Connie was 18 or 19 when she joined the community. “You have grand ideas at that age. I've always been interested in languages; I found foreign languages fascinating at school. I've always tried to learn as many different languages as possible because it helps you understand other cultures and people.” Later on, she traveled extensively as a backpacker through South America, North Africa, and Africa to meet people and understand why they do what they do. She also pursued studies in psychology to seek understanding for what motivates people, why they act the way they do, why they stand opposed to each other instead of alongside. She had the idea for many years that youth exchanges did have an effect lasting 10 or 20 years. However, Connie thinks society has changed and that not much remains of what was created back then. She thinks the generations who are in their thirties now are not very concerned with this kind of thing anymore. (Project Friends in a Cold Climate 2023) Friends in a Cold Climate: After the Second World War a number of friendship ties were established between towns in Europe. Citizens, council-officials and church representatives were looking for peace and prosperity in a still fragmented Europe. After a visit of the Royal Mens Choir Schiedam to Esslingen in 1963, representatives of Esslingen asked Schiedam to take part in friendly exchanges involving citizens and officials. The connections expanded and in 1970, in Esslingen, a circle of friends was established tying the towns Esslingen, Schiedam, Udine (IT) Velenje (SL) Vienne (F) and Neath together. Each town of this so called “Verbund der Ringpartnerstädte” had to keep in touch with at least 2 towns within the wider network. Friends in a Cold Climate looks primarily through the eyes the citizen-participant. Their motivation for taking part may vary. For example, is there a certain engagement with the European project? Did parents instil in their children a a message of fraternisation stemming from their experiences in WWII? Or did the participants only see youth exchange only as an opportunity for a trip to a foreign country? This latter motivation of taking part for other than Euro-idealistic reasons should however not be regarded as tourist or consumer-led behaviour. Following Michel de Certeau, Friends in a Cold Climate regards citizen-participants as a producers rather than as a consumers. A participant may "put to use" the Town Twinning facilities of travel and activities in his or her own way, regardless of the programme. Integration of West-Europe after the Second World War was driven by a broad movement aimed at peace, security and prosperity. Organised youth exchange between European cities formed an important part of that movement. This research focuses on young people who, from the 1960s onwards, participated in international exchanges organised by twinned towns, also called jumelage. Friends in a Cold Climate asks about the interactions between young people while taking into account the organisational structures on a municipal level, The project investigates the role of the ideology of a united West-Europe, individual desires for travel and freedom, the upcoming discourse about the Second World War and the influence of the prevalent “counterculture” of that period, thus shedding a light on the formative years of European integration.

The high prevalence of dual use of cigarettes and smokeless tobacco is a unique tobacco use behavior in the US military population. However, dual tobacco use has rarely been addressed in active duty populations. We aimed to identify factors contributing to dual tobacco use among active duty service members from Army and Air Force. We also compared age at initiation, duration of use, and amount of use between dual users and exclusive users. The study included 168 exclusive cigarette smokers, 171 exclusive smokeless tobacco users, and 110 dual users. In stepwise logistic regression, smokeless tobacco use among family members (OR = 4.78, 95% CI = 2.05–11.13 for father use vs. no use, OR = 3.39, 95% CI = 1.56–7.37 for other relatives use vs. no use), and deployment history (serving combat unit vs. combat support unit: OR = 4.12, 95% CI = 1.59–10.66; never deployed vs. combat support unit: OR = 3.32, 95% CI = 1.45–7.61) were factors identified to be associated with dual use relative to exclusive cigarette smoking. Cigarette smoking among family members (OR = 1.96, 95% CI = 1.07–3.60 for sibling smoking), high perception of harm using smokeless tobacco (OR = 2.34, 95% CI = 1.29–4.26), secondhand smoke exposure (OR = 4.83, 95% CI = 2.73–8.55), and lower education (associated degree or some college: OR = 2.76, 95% CI = 1.01–7.51; high school of lower: OR = 4.10, 95% CI = 1.45–11.61) were factors associated with dual use relative to exclusive smokeless tobacco use. Compared to exclusive cigarette smokers, dual users started smoking at younger age, smoked cigarettes for longer period, and smoked more cigarettes per day. Our study addressed dual tobacco use behavior in military population and has implications to tobacco control programs in the military.

The Military Service Personnel Photograph Collection Index, (circa 1938-1953) was created by Connecticut State Library staff to highlight and better utilize these unique archival photographs and honor those who served in the military.  Great effort was made to identify the individuals depicted using information provided with the photograph. Please keep in mind however that names, geographic locations, or other information may be misspelled or in error as a result. Branch of service, rank, military unit, residence, and other notations were included in the index to assist the researcher or family member to determine if there is an image for a specific individual. Please be aware that prior to 1947 the United Sates Air Force was a branch of the United States Army and as a result, images may be listed as Army Air Corps. Please keep in mind that names and locations may be misspelled as a result.   You may conduct a search in any of the columns, or any combination of columns to limit your search.  If a name of an individual of interest is found in the below Connecticut Military Service Personnel Photograph Collection Index, and a reproduction of the original record is desired, you may submit a request via E-mail or by contacting the History & Genealogy Unit of the Connecticut State Library at (860) 757-6580.  Reproduction formats and fees available, are as follows: Photocopy: black & white copy, 8 1/2 X 11″ or 11 X 14″ sized paper, 25 cents; 11 X 17″, 50 cents per photocopied page, plus a $3.00 handling fee and first-class postage charges. Photocopy: color copy 8 1/2 X 11″ or 11 X 14″ sized paper, $1.00 per photocopied page, 11 X 17″, $1.25 per photocopied page plus a $3.00 handling fee and first-class postage charges. Digital images (low or high resolution): PDF, JEG, TIFF, or DNG images, 25 cents per image, plus a $3.00 handling fee.  Digital file may be delivered via internet for no additional cost. Pre-payment is not needed as a bill will accompany the finished product, either in the mail with photocopies or with the digital images. Please include the military service person’s name and the box number _location in requesting a copy of the image.

O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands) is a bird tracking dataset published by the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_VLIELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2016 to 2021. In total 103 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged either as a breeding bird or while overwintering on the Wadden island Vlieland (the Netherlands), mainly to study how they respond to disturbances from aircraft. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

These data were collected by the Netherlands Institute of Ecology (NIOO-KNAW), in collaboration with Sovon, Radboud University and the University of Amsterdam (UvA) for the CHIRP (Cumulative Human Impact on biRd Populations) project. Funding was provided by the Applied and Engineering Sciences domain of the Netherlands Organisation for Scientific Research (NWO-TTW 14638) and co-funding via NWO-TTW by Royal Netherlands Air Force, Birdlife Netherlands, NAM gas exploration and Deltares. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original data are available in van der Kolk et al. (2023, https://doi.org/10.5281/zenodo.10053988), a deposit of Movebank study 1605802367.

Ebitda Time Series for Science Applications International Corporation Common Stock. Science Applications International Corporation provides technical, engineering, and enterprise information technology (IT) services in the United States. It operates in two segments, Defense and Intelligence, and Civilian. The company offers IT modernization services for defense, intelligence, and civilian agencies; digital engineering services; artificial intelligence solutions; weapon systems support for the U.S. military; training and simulation; and ground vehicles support services for the nation's armed forces. It serves military forces, including the army, air force, navy, marines, coast guard, and space force; agencies of the Department of Defense, National Aeronautics and Space Administration, U.S. Department of State, Department of Justice, and Department of Homeland Security; and members of the Intelligence Community, as well as civilian markets, such as federal, state, and local governments. The company was formerly known as SAIC Gemini, Inc. and changed its name to Science Applications International Corporation in September 2013. Science Applications International Corporation was founded in 1969 and is headquartered in Reston, Virginia.

SPEED+ is the next-generation dataset for spacecraft pose estimation with specific emphasis on the robustness of Machine Learning (ML) models across the domain gap. Similar to its predecessor, SPEED+ consists of images of the Tango spacecraft from the PRISMA mission. SPEED+ consists of three different domains of imageries from two distinct sources. The first source is the OpenGL-based Optical Stimulator camera emulator software of Stanford’s Space Rendezvous Laboratory (SLAB), which is used to create the synthetic domain comprising 59,960 synthetic images. The labeled synthetic domain is split into 80:20 train/validation sets and is intended to be the main source of training of an ML model.

The second source is the Testbed for Rendezvous and Optical Navigation (TRON) facility at SLAB, which is used to generate two simulated Hardware-In-the-Loop (HIL) domains with different sourcesof illumination: lightbox and sunlamp. Specifically, these two domains are constructed using realistic illumination conditions using lightboxes with diffuser plates for albedo simulation and a sun lamp to mimic direct high-intensity homogeneous light from the Sun.

Compared to synthetic imagery, they capture corner cases, stray lights, shadowing, and visual effects in general which are not easy to obtain through computer graphics. The lightbox and sunlamp domains are unlabeled and thus intendeded mainly for testing, representing a typical scenario in developing a spaceborne ML model in which the labeled images from the target space domain are not available prior to deployment.

SPEED+ is made publicly available to the aerospace community and beyond as part of the second international Satellite Pose Estimation Competition (SPEC2021) co-hosted by SLAB and the Advanced Concepts Team (ACT) of the European Space Agency.

The construction of the TRON testbed was partly funded by the U.S. Air Force Office of Scientific Research (AFOSR) through the Defense University Research InstrumentationProgram (DURIP) contract FA9550-18-1-0492, titled High-Fidelity Verification and Validation of Spaceborne Vision-Based Navigation. The SPEED+ dataset was created using the TRON testbed by SLAB at Stanford University. The post-processing of the raw images was reviewed by ACT to meet the quality requirement of SPEC2021.

For more details on the dataset and the competition, please visit https://kelvins.esa.int/pose-estimation-2021/

This animal tracking dataset is derived from van der Kolk et al. (2022, https://doi.org/10.5281/zenodo.5653891) a deposit of Movebank study 1605802367. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands) is a bird tracking dataset published by the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_VLIELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2016 to 2021. In total 103 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged either as a breeding bird or while overwintering on the Wadden island Vlieland (the Netherlands), mainly to study how they respond to disturbances from aircraft. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. These data were collected by the Netherlands Institute of Ecology (NIOO-KNAW), in collaboration with Sovon, Radboud University and the University of Amsterdam (UvA) for the CHIRP (Cumulative Human Impact on biRd Populations) project. Funding was provided by the Applied and Engineering Sciences domain of the Netherlands Organisation for Scientific Research (NWO-TTW 14638) and co-funding via NWO-TTW by Royal Netherlands Air Force, Birdlife Netherlands, NAM gas exploration and Deltares. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

Ebitda-Per-Share Time Series for Science Applications International Corporation Common Stock. Science Applications International Corporation provides technical, engineering, and enterprise information technology (IT) services in the United States. It operates in two segments, Defense and Intelligence, and Civilian. The company offers IT modernization services for defense, intelligence, and civilian agencies; digital engineering services; artificial intelligence solutions; weapon systems support for the U.S. military; training and simulation; and ground vehicles support services for the nation's armed forces. It serves military forces, including the army, air force, navy, marines, coast guard, and space force; agencies of the Department of Defense, National Aeronautics and Space Administration, U.S. Department of State, Department of Justice, and Department of Homeland Security; and members of the Intelligence Community, as well as civilian markets, such as federal, state, and local governments. The company was formerly known as SAIC Gemini, Inc. and changed its name to Science Applications International Corporation in September 2013. Science Applications International Corporation was founded in 1969 and is headquartered in Reston, Virginia.

Context: Kanye West Rap Verses (243 Songs, 364 Verses)
Content: All verses are separated by empty lines. The data has been cleaned to remove any unnecessary words or characters not part of the actual verses.
Acknowledgements: The lyrics are owned by Kanye West and his label, but the dataset was compiled by myself using Rap Genius.
Past Research: Ran the data through a RNN to try to generate new verses that sounded similar to Kanye's existing verses.
Inspiration: It'll be interesting to see what analysis people can do on this dataset. Although it's pretty small, it definitely seems like a fun dataset to mess around with.

Note: Below is a list of all the songs used for verse extraction. Songs labeled with (N) were excluded due to either not containing rap verses (only choruses), or me not being able to locate the actual lyrics.

Mercy
Niggas in Paris
Clique
Bound 2
No Church in the Wild
Father Stretch My Hand Pt. 1
New Slaves
Blood on the Leaves
Black Skinhead
Don't Like
Monster
All Day
Father Stretch My Hand Pt. 2
I Am a God
Famous
No More Parties in LA
I'm In It
Hold My Liquor
Facts
Power
Cold
New God Flow
Gotta Have It
Blame Game
Wolves
FML
Runaway
Can't Tell Me Nothing
Waves
Dark Fantasy
Gorgeous
Gold Digger
Devil in a New Dress
Otis
So Appalled
All Falls Down
Highlights
All of the Lights
On Sight
Who Gon Stop Me
Guilt Trip
Murder to Excellence
30 Hours
Send It Up
Through the Wire
Stronger
Illest Motherfucker Alive
Flashing Lights
Last Call
Homecoming
H·A·M
The Morning
Lost In The World
Saint Pablo
Freestyle 4
Feedback
Jesus Walks
Good Morning
The One
Good Life
Touch the Sky
Diamonds from Sierra Leone
Never Let Me Down
Big Brother
New Day
Hell of a Life
To the World
Hey Mama
Heard 'Em Say
White Dress
Heartless
Champion
That's My Bitch
Everything I Am
Gone
Made in America
I Wonder
Spaceship
Get Em High
Christian Dior Denim Flow
We Don't Care
Family Business
See Me Now
The Glory
Welcome to the Jungle
Looking For Trouble
Drive Slow
The Joy
The New Workout Plan
Champions
Love Lockdown
Primetime
We Major
Roses
School Spirit
Addiction
Lift Off
Barry Bonds
Bittersweet Poetry
Welcome to Heartbreak
Drunk and Hot Girls
Two Words Slow Jamz
Paranoid
Crack Music
Classic (Nike Air Force Remix)
RoboCop
Breathe In Breathe Out
Late
Bring Me Down
Christmas in Harlem
Celebration
Good Night
Lord Lord Lord
Chain Heavy
Eyes Closed
Don't Look Down
Take One for the Team
Mama's Boyfriend
Apologize
We Can Make It Better
When I See It
Because of You (Remix)
Home
Throw Some D's (Remix)
Livin' in a Movie
Another You
Impossible
Back Niggaz
Birthday Song
Back to Basics
Line for Line
What You Do To Me
In Common (Remix)
Pussy Print
Guard Down
Piss On Your Grave
Jukebox Joints
SMUCKERS
All Your Fault
Can't Stop
Drunk in Love (Remix)
Welcome to the World
Blazing
Glenwood
Ayyy Girl
We Fight We Love (Remix)
Anyone But Him
Erase Me
Diamonds (Remix)
Hate
Ego (Remix)
Alright
I'm the Shit (Remix)
Flight School
Teriya-King
Punch Drunk Love (The Eye)
Therapy
Digital Girl
Promise Land
It's Over
Go Hard
Beat Goes On
Everyone Nose
Down
In the Mood
Southside
My Drink n My 2 Step (Remix)
Still Dreaming
Tell Me When to Go (Remix)
Fly Away
They Say
Paid the Price
Call Some Hoes
The Way That You Do
Welcome Back (Remix)
Confessions Pt. 2 (Remix)
My Baby
Gettin' It In
I Changed My Mind
Selfish
Higher
Talk About Our Love
I See Now
Getting Out the Game
03 'til Infinity
So Soulful
Oh Oh
U Know
Candy
The Good, the Bad and the Ugly
Changing Lanes
The Bounce
Let's Get Married (Remix)
Pretty Girl Rock (Remix)
That Part
U Mad
Blessings
I Won
I Wish You Would
Marvin & Chardonnay
E.T.
Forever
The Big Screen
Supernova
Make Her Say
Run This Town
Gifted
Walkin' on the Moon
Knock You Down
Stay Up! (Viagra)
Put On
American Boy
Pro Nails
I Still Love H.E.R.
Wouldn't Get Far
Number One (With Pharrell)
Grammy Family
Extravaganza
Brand New
Wouldn't You Like 2 Ryde
This Way
Us Placers
Don't Stop!
Sanctified
Hurricane 2.0
Start It Up
In for the Kill (Remix)
Deuces (Remix)
Alors on Danse (Remix)
Live Fast Die Young
Maybach Music 2
Swagga Like Us (Remix)
Lollipop (Remix)
Plastic
Finer Things
Anything
Buy U a Drank (Remix)
This Ain't a Scene, It's an Arms Race (Remix)
Pusha Man
Selfish
Real Love
Hold On (Remix)

(N) Coldest Winter
(N) Ultralight Beams
(N) Only One
(N) I Love Kanye
(N) Why I Love You
(N) Fade
(N) Welcome to the Jungle
(N) Amazing
(N) Say You Will
(N) Street Lights
(N) See You in my Nightmares
(N) Awesome (Freestyle)
(N) Rosalind Ballroom
(N) Pinocchio Story
(N) God Level
(N) Bad News
(N) I Feel Like That
(N) My Way Home
(N) I'll Fly Away
(N) All We Got
(N) M.P.A.
(N) Mula
(N) The Summer League
(N) Nobody
(N) Rollin'
(N) Touch It
(N) We Alright
(N) Punch Drunk Love (The Eye)
(N) More
(N) Take It as a Loss
(N) Figure It Out
(N) One Man Can Change the World
(N) Thank You
(N) Pride N Joy
(N) Everybody
(N) The Corner
(N) Down and Out
(N) The Food (N) Welcome 2 Chicago

Ebitda-Interest-Coverage Time Series for Science Applications International Corporation Common Stock. Science Applications International Corporation provides technical, engineering, and enterprise information technology (IT) services in the United States. It operates in two segments, Defense and Intelligence, and Civilian. The company offers IT modernization services for defense, intelligence, and civilian agencies; digital engineering services; artificial intelligence solutions; weapon systems support for the U.S. military; training and simulation; and ground vehicles support services for the nation's armed forces. It serves military forces, including the army, air force, navy, marines, coast guard, and space force; agencies of the Department of Defense, National Aeronautics and Space Administration, U.S. Department of State, Department of Justice, and Department of Homeland Security; and members of the Intelligence Community, as well as civilian markets, such as federal, state, and local governments. The company was formerly known as SAIC Gemini, Inc. and changed its name to Science Applications International Corporation in September 2013. Science Applications International Corporation was founded in 1969 and is headquartered in Reston, Virginia.

Search and Rescue Satellite Aided Tracking (SARSAT)A Beacon of Hope to Those in DistressNOAA satellites do more than just monitor the weather. They also detect and relay distress signals from emergency beacons to the appropriate search and rescue authorities. This tells them who is in trouble and, more importantly, where they are located.The NOAA–SARSAT program is part of COSPAS–SARSAT, an international satellite-based monitoring initiative to which 45 nations and independent search and rescue organizations belong. Using this system, authorities can locate beacons almost anywhere in the world at any time, and in almost any condition. COSPAS stands for "COsmicheskaya Sisteyama Poiska Avariynich Sudov," Russian for “Space System for the Search of Vessels in Distress.” A sailor being rescued at sea.SARSAT Tracking ApplicationEach icon on this map represents one rescue event within the U.S. Area of Responsibility (AOR) in the last 14 months, though multiple saves may be involved with each event. The Search and Rescue Satellite Aided Tracking (SARSAT) system is able to detect three types of beacons: an individual’s Personal Locator Beacons (PLBs), maritime Emergency Position Indicating Radio Beacons (EPIRBs), and aircraft Emergency Locator Transmitters (ELTs). Who responds to the search and rescue are dictated by the location of the distress. For any beacon activation that occurs in the U.S. AOR, the U.S. is responsible for responding. If it is inland, U.S. Air Force responds*, if it is at sea, the U.S. Coast Guard. If a device registered to another country is activated within the U.S. AOR, the U.S. is still responsible for the rescue but their homeport country will be notified of the event. All areas of the world are covered by COSPAS-SARSAT.The COSPAS–SARSAT ProgramThis program consists of: Emergency beacons that transmit distress signalsSatellites that detect the distress signalsGround receiving stations that receive and process the satellite signals to generate distress alertsMission control centers that receive the alerts and forward them to rescue coordination centers, operated by the U.S. Coast Guard and the U.S. Air Force.The U.S. SARSAT system uses NOAA satellites in low-earth and geostationary orbits as well as GPS satellites in medium earth orbit to detect and locate aviators, mariners, and land-based users in distress. The satellites relay distress signals from emergency beacons to a network of ground stations and ultimately to the U.S. Mission Control Center (USMCC) in Suitland, Maryland.Types of search and rescue beacons. The Four Agencies Involved in the U.S. SARSAT ProgramNOAA: System Operation and representative to COSPAS-SARSATNASA: Research and Development U.S. Coast Guard: Maritime Search and Rescue U.S. Air Force: Inland Search and Rescue HistoryCredit: Arizona Daily StarThe first beacons used the existing 121.5/243 MHz emergency locator transmitters (ELTs) designed for military aircraft in the 1950s. After a small plane carrying Rep. Hale Boggs (D-La.) along with Rep. Nick Begich (D-Alaska) and others disappeared in Alaska in 1972, Congress mandated ELTs on all U.S. aircraft. Canada soon did the same. However, early models were not as easy to detect, and there was no way to identify a specific beacon or find its exact location. Thus, engineers began developing new, more robust digital beacons that operated at 406 MHz. Signals from these new beacons could be received from anywhere on the planet, located accurately and almost instantly, and rescue forces would know who and what to look for.The United States and Canada began looking for other international partners with the ability to launch satellites to achieve a truly global distress alerting satellite system. Russia and France soon signed on to help develop the system for humanitarian purposes. On June 30, 1982, Russia launched the first experimental COSPAS–SARSAT satellite. Before it was even officially declared operational, the first distress signal was detected—a downed Canadian aircraft. Within the first hundred days of the satellite’s operation, seven people were rescued using the system. Soon after, NASA launched their own SARSAT payload on NOAA-8. The program has continued to grow ever since. Today, with newer, more advanced beacons and a global network of next generation satellites, COSPAS–SARSAT strives to keep improving its ability to take the “search” out of “search and rescue” and ultimately save lives. Important InformationAll U.S. coded beacons MUST be registered with NOAA. Read our registration brochure to learn more. Safety NoticesAirworthiness DirectivesAmeri-King Corporation ELTsWarning regarding unapproved beacon batteriesKannad SAFELINK EPIRB recall