|
Events and selected presentations
Events organised
-
Mini-symposium "Recent Advances in Distributed Optimization"
International Conference on Continuous Optimization (ICCOPT), Lehigh University in Bethlehem, Pennsylvania, USA, 23 - 24 July, 2022. Co-organised with: Mingrui Liu.
-
Mini-symposium "Sparsity, Optimization and Learning"
Curves and Surfaces, Arcachon France, 20 - 24 June, 2022. Co-organised with: Clarice Poon.
-
Mini-symposium "Geometric Aspects of Inverse Problems: Non-smooth Regularization and Optimization"
Applied Inverse Problems, Grenoble France, 8 - 12 July, 2019. Co-organised with: Clarice Poon.
-
Mini-symposium "Approaches for Fast Optimisation in Imaging and Inverse Problems"
SIAM Conference on Imaging Science, Bologna Italy, 5 - 8 June, 2018. Co-organised with: Mila Nikolova and Carola Schönlieb.
Selected presentations
-
Adaptive Acceleration for First-order Methods
SIAM Conference on Optimization, Virtual, 20 - 23 July, 2021.
-
Trajectory of First-order Methods and Adaptive Acceleration
Workshop on Efficient Algorithms in Data Science, Learning, and Computational Physics, Tsinghua Sanya International Mathematics Forum (TSIMF), Sanya China, 12 - 16 January, 2020.
-
A Fused Alternating relaxed Projection for Feasibility Problem
The 64th Annual Meeting of the Australian Mathematical Society, University of New England, Australia, 8 - 10 December, 2020.
-
Geometry based Acceleration for Non-smooth Optimisation
International Conference on Continuous Optimization (ICCOPT), Berlin Germany, 5 - 8 August, 2019.
-
Improving FISTA: Faster, Smarter and Greedier
International Congress on Industrial and Applied Mathematics (ICIAM), Valencia Spain, 15 - 19 July, 2019.
-
Local Linear Convergence of Variance Reducing Stochastic Gradient Descent
Applied Inverse Problems (AIP), Grenoble France, 8 - 12 July, 2019.
-
Make FISTA Faster Again
SIAM Conference on Imaging Science, Bologna Italy, 5 - 8 June, 2018.
-
Activity Identification and Local Linear Convergence of Forward–Backward-type Methods
Optimization, Lisbon Portugal, 6 - 8 September, 2017.
-
MUSTARD: a MUlti-Step inerTial operAtoR splitting methoD
Workshop on Signal Processing, Optimization and Compressed Sensing (SPOC), Nankai University, Tianjin China, 17 - 21 December, 2016.
|


Ocean [af76], ocean, in Crystal Sea
Last updated Turn #118
Ocean [af76], ocean, in Crystal Sea
------------------------------------------------------------------------
5: Pleasure Sloop [v5n], ship, 30 hulls, 1 rowing port, 90 sails, arrived
5: from Endless Plains [af75], owner:
5: Dorothy [v1b], Pen, with 39 peasants, 30 soldiers, 94 sailors,
5: accompanied by:
5: Cindy [z1c], Pen, with 14 peasants, one worker, 40 soldiers,
5: two skirmishers
5: Banian [e7n], Imperial Empire, knight, the High Priest of the
5: Church of Eres [151], with 16 soldiers, ten angels
5: Drummond [x8q], Imperial Empire, with 30 soldiers
5: Roland [o6t], Imperial Empire, Bishop of the Church of
5: Anteus [152], with 34 soldiers, five angels
5: Fortuis [h1m], Imperial Empire, with 20 soldiers
6: Pleasure Sloop [v5n], ship, 30 hulls, 1 rowing port, 90 sails,
6: departed for Ocean [af77].
Routes leaving Ocean:
North, to Ocean [ae76], 6 days
East, to Ocean [af77], 6 days
South, plain, to Endless Plains [ag76], Imperia, 2 days
West, plain, to Endless Plains [af75], Imperia, 2 days


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save
GBP burget
+
Today
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Transport for London
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Korean Restaurant
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Cash
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Transport
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Restaurant
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|
MOVE - Each player, on
each turn, must do one of the following things:
|
Drop a soldier into an empty cell; |
|
Move a King or a soldier. |
|
|
SOLDIER MOVE - A soldier
moves to any adjacent empty cell (orthogonal or diagonal). |
|
KING MOVE - A King jumps
over an adjacent friendly soldier or King, into the immediate opposite
empty cell (or over the edge). A jumped piece is removed. If it is a
soldier, it can be dropped again on a later turn. If it is a King, it
will be removed and will not return to the game!
|
After the first jump, the King
must continue jumping while other jumps are available. It is not
mandatory to maximize the number of jumps. |
|
If a King jumps over the edge,
it is removed from play and enters an end-zone and does not
enter the game anymore. |
|
|
GOAL - Wins the player that has two Kings on the end-zone. |
|


{% extends "layout.html" %} {% block page_title %} Coping with change {% endblock %} {% block content %} {% include "../includes/phase_banner_beta.html" %} Back Can you cope with changes to your daily routine? Can you cope with changes to your daily routine? Yes No Sometimes Can you cope with small changes to your daily routine if you know about them before they happen? For example, things like having a meal earlier or later than usual, or an appointment time being changed. Yes No Sometimes Can you cope with small changes to your daily routine if they are unexpected? For example, things like your bus or train not running on time, or an unexpected visitor coming to your house. Yes No Sometimes Describe how you cope with change. Explain what problems you have and give examples if you can. If it varies tell us how. 1500 characters left {% include "../includes/help.html" %} {% endblock %}
For example, things like having a meal earlier or later than usual, or an appointment time being changed.
For example, things like your bus or train not running on time, or an unexpected visitor coming to your house.


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TrackTQ
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@()
It serves up a dummy User
http GET localhost:9000/v1/users/{id}
http GET localhost:9000/v1/users/99


- Regression and classification algorithms for finance and insurance French companies.
- Deep learning algorithms for object detection
- LSTM models for time series prediction in robotics application
{{ post.description | truncate: 140, ".." }}
{{ realisation.description | truncate: 140, ".." }}


Better file system watching for Node.js
npm install --save watchr
watchr
require('watchr')
This package is published with the following editions:
watchr/src/lib/getmac.coffee
is Source + CoffeeScript + Requirewatchr/es5/lib/getmac.js
is CoffeeScript Compiled JavaScript + ES5 + RequireWatchr provides a normalised API the file watching APIs of different node versions, nested/recursive file and directory watching, and accurate detailed events for file/directory creations, updates, and deletions.
You install it via npm install watchr
and use it via require('watchr').watch(config)
. Available configuration options are:
path
a single path to watchpaths
an array of paths to watchlistener
a single change listener to fire when a change occurslisteners
an array of listeners to fire when a change occurs, overloaded to accept the following values:
changeListener
a single change listener[changeListener]
an array of change listeners{eventName: eventListener}
an object keyed with the event names and valued with a single event listener{eventName: [eventListener]}
an object keyed with the event names and valued with an array of event listenersnext
(optional, defaults to null
) a completion callback to fire once the watchers have been setup, arguments are:
path
configuration option: err, watcherInstance
paths
configuration option: err, [watcherInstance,...]
stat
(optional, defaults to null
) a file stat object to use for the path, instead of fetching a new oneinterval
(optional, defaults to 5007
) for systems that poll to detect file changes, how often should it poll in millsecondspersistent
(optional, defaults to true
) whether or not we should keep the node process alive for as long as files are still being watchedcatchupDelay
(optional, defaults to 2000
) because swap files delete the original file, then rename a temporary file over-top of the original file, to ensure the change is reported correctly we must have a delay in place that waits until all change events for that file have finished, before starting the detection of what changedpreferredMethods
(optional, defaults to ['watch','watchFile']
) which order should we prefer our watching methods to be tried?followLinks
(optional, defaults to true
) follow symlinks, i.e. use stat rather than lstatignorePaths
(optional, defaults to false
) an array of full paths to ignoreignoreHiddenFiles
(optional, defaults to false
) whether or not to ignored files which filename starts with a .
ignoreCommonPatterns
(optional, defaults to true
) whether or not to ignore common undesirable file patterns (e.g. .svn
, .git
, .DS_Store
, thumbs.db
, etc)ignoreCustomPatterns
(optional, defaults to null
) any custom ignore patterns that you would also like to ignore along with the common patternsThe following events are available to your via the listeners:
log
for debugging, receives the arguments logLevel ,args...
error
for gracefully listening to error events, receives the arguments err
watching
for when watching of the path has completed, receives the arguments err, isWatching
change
for listening to change events, receives the arguments changeType, fullPath, currentStat, previousStat
, received arguments will be:
'update', fullPath, currentStat, previousStat
'create', fullPath, currentStat, null
'delete', fullPath, null, previousStat
To wrap it all together, it would look like this:
// Require
var watchr = require('watchr')
// Watch a directory or file
console.log('Watch our paths')
watchr.watch({
paths: ['path1', 'path2', 'path3'],
listeners: {
log: function (logLevel) {
console.log('a log message occured:', arguments)
},
error: function (err) {
console.log('an error occured:', err)
},
watching: function (err, watcherInstance, isWatching){
if (err) {
console.log("watching the path " + watcherInstance.path + " failed with error", err)
} else {
console.log("watching the path " + watcherInstance.path + " completed")
}
},
change: function(changeType, filePath, fileCurrentStat, filePreviousStat){
console.log('a change event occured:', arguments)
}
},
next: function(err, watchers){
if (err) {
return console.log("watching everything failed with error", err)
} else {
console.log('watching everything completed', watchers)
}
// Close watchers after 60 seconds
setTimeout(function () {
console.log('Stop watching our paths')
for ( var i = 0; i < watchers.length; i++ ) {
watchers[i].close()
}
}, 60 * 1000)
}
})
You can test the above code snippet by running the following:
npm install -g watchr
watchr
Discover the release history by heading on over to the HISTORY.md
file.
Discover how you can contribute by heading on over to the CONTRIBUTING.md
file.
These amazing people are maintaining this project:
No sponsors yet! Will you be the first?
These amazing people have contributed code to this project:
Discover how you can contribute by heading on over to the CONTRIBUTING.md
file.
Unless stated otherwise all works are:
and licensed under:


And who could be smaller or more insignificant than poor Little Nell? An orphan girl alone and adrift in a world of Confucian Law, Neo-Victorian values and warring nano-technology?
Well, not quite alone. Because Nell has a friend, of sorts. A guide, a teacher, an armed and unarmed combat instructor, a book and a computer: the Young Lady's Illustrated Primer is all these and much much more. It is illicit, magical, dangerous.
And it isn't Nell's. It was stolen. And now some very powerful people want to get their hands on this highly desirable object. Nell is about to discover that the world can feel very small indeed...


** [Source: Ancestry.com. Ohio Military Men, 1917-1918 [database online]. Provo, Utah: MyFamily.com, Inc., 2000. Original data: Official Roster of Ohio Soldiers, Sailors and Marines in the World War, 1917-1918, Volumes I-XXIII. Columbus, OH: F. J. Heer Printing Co., 1926.]
Name, Residence, Enlistment Date, Birthplace, Age or birthdate and deceased date
1. Bach, Charles G. Ozark 1918 Jul 22 Ozark 1895 Oct 12 1978 Nov
Name:
Charles G. Bach
Serial Number:
3532215
Race:
W
Residence:
Ozark, O.
Enlistment Division:
National Army
Enlistment Location:
Woodsfield, O.
Enlistment Date:
22 Jul 1918
Birth Place:
Birth Date / Age:
12 Oct 1895
Assigns Comment:
158 Depot Brigade to 20 Oct 1918; Base Hospital 113 to Discharge Private, first class 10 March 1919; Sergeant 1 July 1919. American Expeditionary Forces 12 Nov 1918 to 27 July 1919. Honorable discharge 4 Aug 1919.
Volume #:
1
**
Charles Bach
SSN:
280-32-9081
Last Residence:
43747 Jerusalem, Monroe, Ohio, United States of America
Born:
10 Oct 1895
Died:
Nov 1978
State (Year) SSN issued:
Ohio (1952-1954 )
[Source: Social Security Death Index]
2. Bachman, Adolph Sardis 1918 Jul 22 Monroe County 1890 May 20
Adolph Bachman
3532216
R. F. D. 2, Sardis, O.
Monroe Co, O.
20 May 1890
158 Depot Brigade to 12 Aug 1918; Co D 334 Infantry to Discharge Private American Expeditionary Forces 2 Sept 1918 to 2 Feb 1919. Honorable discharge 17 Feb 1919.
3. Bachman, Godfrey Sardis 1918 Mar 25 Sardis 1898 Jul 22
Godfrey Bachman
2111894
04 Oct 1917
28 6/12 Years
13 Co 4 Training Battalion 158 Depot Brigade to 11 Nov 1917; Co C 336 Machine Gun Battalion to 21 Jan 1918; Sanitary Detachment 336 Machine Gun Battalion to 1 June 1918; 22 Co 6 Training Battalion 162 Depot Brigade to 17 June 1918; Co C 20 Battalion 165 Depot Brigade to 21 Dec 1918; 5 Co 2 Training Battalion 158 Depot Brigade to Discharge Private, first class 1 July 1918. Honorable discharge 8 Jan 1919.
** Note quite sure; dates don t match exactly w/your info.
4. Bachman, Simon P. Sardis 1917 Oct 4 Monroe County 28y 6m
Simon P. Bachman
3532217
R. F. D. 1, Sardis, O.
Sardis, O.
26 May 1893
158 Depot Brigade to Discharge Private, first class 1 Feb 1919. Honorable discharge 13 Feb 1919.
Simon Bachman
293-20-7417
44276 Sterling, Wayne, Ohio, United States of America
Jun 1966
Ohio (Before 1951 )
SIMON P BACHMAN
Gender:
Male
Date of Death:
June 03, 1966
Volume:
18512
Certificate:
49110
Marital Status:
Married
Place of Death:
, Wayne County
White
Age:
73
[Source: Ohio Department of Health. Ohio Death Index, 1958-2000 [database online]. Provo, UT: MyFamily.com, Inc., 2003. Original data: Ohio Department of Health. Index to Annual Deaths, 1958-2000. Columbus, Ohio: Ohio Department of Health. State Vital Statistics Unit, 19xx-. ]
5. Bachman, Thomas Sardis 1918 Jul 22 Sardis 1891 Mar 20
Thomas Bachman
3532218
20 March 1891
16 Co 4 Training Battalion 158 Depot Brigade to death. Private Died of broncho pneumonia 5 Oct 1918. Notified Mrs Mary Bachman, mother, R. F. D. 2, Sardis, O.
d. October 5, 1918 of broncho pneumonia
6. Baker, Donald L. Hannibal 1918 Sep 4 Saxonburg, PA 1896 Sep 27
Donald L. Baker
3856533
Hannibal, O.
04 Sep 1918
Saxonburg, Pa.
27 Sept 1896
10 Co 3 Battalion 158 Depot Brigade to 28 Oct 1918; 68 Army Artillery Battery Coast Artillery Corps to Discharge Private Honorable discharge 20 Dec 1918.
Donald Baker
283-07-9341
43912 Bridgeport, Belmont, Ohio, United States of America
27 Sep 1896
Jun 1985
7. Baker, Ensel R. Beallsville 1917 Oct 4 Mcmechen, WV 22y 9m
Ensel R. Baker
2111587
Beallsville, O.
McMechen, W. Va.
22 9/12 Years
Headquarters 13 Co 4 Training Battalion Cp Sherman O to 11 Nov 1917; Co C 336 Machine Gun Battalion to Discharge Private, first class 1 March 1918. American Expeditionary Forces 24 Aug 1918 to 7 March 1919. Honorable discharge 20 March 1919.
Ensel Baker
294-03-6274
43713 Barnesville, Belmont, Ohio, United States of America
8 Jan 1895
Feb 1970
Ensel R Baker
26 February 1970
19964
008292
Autopsy:
No Autopsy
Widowed
, Belmont County
Certifier:
Physician
75 Years
[Source: Ohio Department of Health. Ohio Death Index, 1958-2000 [database online]. Provo, UT: MyFamily.com, Inc., 2003. Original data: Ohio Department of Health. Index to Annual Deaths, 1958-2000. Columbus, Ohio: Ohio Department of Health. State Vital Statistics Unit, 19xx-.]
Deaths:
Baker, Ensel R., 75, of Barnesville, Feb. 26.
[Source: The Times Recorder, Zanesville, Ohio, February 27, 1970, p. 1B]
Barnesville Ensel R. Baker, 75, of 210 Washington street, Barnesville, died at 3:30 a.m. Thursday, (Feb. 26) in Barnesville Hospital following a long illness.
He was born Jan. 8. 1895, at McMechan, W. Va., a son of James and Minnie Martin Baker.
Mr. Baker was a member of Barnesville First Christian Church and Knights of Pythias Lodge in Beallsville. He was a veteral of World War I.
Surviving are his son, Robert Baker of Cleveland; three daughters, Mrs. Charles Goettel of Akron, Mrs. Don Milhoan of Canton and Mrs. Robert Outland of Barnesville with whom he made his home, and five grandchildren.
Friends may call after 1 p.m. today at Campbell-Plumly Funeral Home in Barnesville and after 10 a.m. Saturday at Harper-Campbell Funeral Home in Beallsville where services will be held at 2 p.m. Saturday, with Rev. William Worcester officiating. Burial will be in Beallsville Cemetery.
[Source: The Times Recorder, Zanesville, Ohio, Friday, September 27, 1970, p. 2A]
8. Baker, Ernest O. Antioch 1918 May 27 Antioch 1891 Jan 2
Ernest O. Baker
2481893
Antioch, O.
27 May 1918
2 Jan 1891
158 Depot Brigade to 3 July 1918; Co B 333 Infantry to 2 Nov 1918; Co F Replacement Regiment Army Service Corps to 26 Jan 1919; Supply Company Depot 6 to Discharge Corporal 18 July 1918. American Expeditionary Forces 1 Sept 1918 to 29 May 1919. Honorable discharge 19 June 1919.
Ernest Baker
286-07-9845
43908 Bergholz, Jefferson, Ohio, United States of America
Sep 1971
Ernest O Baker
17 September 1971
20708
093789
Steubenville, Jefferson County
Coroner
, Jefferson County
80 Years
9. Baker, Fairest S. Hannibal 1917 Sep 19 Torentum, PA 1891 Jan 2
Fairest S. Baker
733665
Woodsfield, Mo.
19 Sep 1917
Torentum. Pa.
23 Years
158 Depot Brigade to 24 Feb 1918; Co K 6 Infantry to Discharge Corporal 28 Oct 1917; Sergeant 1 Nov 1918. St Mihiel; Meuse-Argonne; Defensive Sector. American Expeditionary Forces 9 Apr 1918 to 22 July 1919. Honorable discharge 30 July 1919.
Fairest S Baker
18 February 1976
22387
010439
Out-of-State, Out-of-State
81 Years
Fairest Baker
269-12-0946
43931 Hannibal, Monroe, Ohio, United States of America
2 Sep 1894
Feb 1976
10. Baker, Harold C. Antioch 1918 Sep 4 Antioch 1896 Nov 28
Harold C. Baker
3856545
28 Nov 1896
10 Co 3 Training Battalion 158 Depot Brigade to 28 Oct 1918; 20 Co Coast Artillery Corps Sandy Hook Fort Hancock NJ to Discharge Private Honorable discharge 19 Dec 1918.
11. Baker, Harry C Mt. Carrick 1918 Jun 23 Woodsfield 1888 Mar 27 1976 Mar
Harry C. Baker
2481531
Mt Carrick, O.
23 Jun 1918
27 March 1888
23 Co 6 Training Battalion 158 Depot Brigade to 15 July 1918; Co F 333 Infantry to 5 Oct 1918; Co D 363 Infantry to 5 Jan 1919; Co C 363 Infantry to Discharge Private American Expeditionary Forces 1 Sept 1918 to 1 Apr 1919. Honorable discharge 24 Apr 1919.
Harry Baker
294-03-1609
43793 Woodsfield, Monroe, Ohio, United States of America
27 Mar 1888
Mar 1976
Harry C Baker
24 March 1976
22431
021329
, Monroe County
87 Years
Baker, Harry C., Sr., 87, of Woodsfield, March 24
[Source: The Times Recorder, Zanesville, Ohio, Friday, March 26, 1973, p. 1B]
Baker
Woodsfield- Harry C. Baker, 87, of Woodsfield, a retired employee of Wheeling Steel Co., died at 10:15 p.m. Wednesday in Monroe County Home here.
Born March 27, 1888 in Woodsfield, he was a member of the Woodsfield Christian Church and a World War I veteran.
Surviving are two sons, Harry Jr. of Woodsfield Route 3 and Keith of Wheeling, W. Va.; a daughter, Mrs. Marjorie Bell of Rayland; seven grandchildre and eight great-grandchildren. His wife, the former Gladys Baker, died March 8.
Friends may call after 2 p.m. today at the Bauer Turner Funeral Home here, where services will be held at 1 p.m. Saturday. Burial will be in Oaklawn Cemetery in Woodsfield.
[Source: The Times Recorder, , Zanesville, Ohio, Friday, March 26, 1973, p. 2A]
12. Baker, Otto Antioch 1917 Sep 20 Antioch 28y
Otto E. Baker
1184028
20 Sep 1917
28 Years
Co I 330 Infantry to 15 Dec 1917; 38 Recruit Squadron Aviation Section Cp MacArthur Tex to 19 Feb 1918; 27 Balloon Company to 10 July 1918; 23 Balloon Company to Discharge Sergeant 20 March 1918; Private 10 July 1918; Corporal 18 Oct 1918. American Expeditionary Forces 21 Oct 1918 to 21 Jan 1919. Honorable discharge 8 Feb 1919.
Otto Baker
281-01-0358
Ohio
11 Jul 1890
Apr 1965
[Source: Social Security Death Index] ????????
13. Barker, James C. Sardis 1918 Sep 4 Sardis 1897 Jan 6
James C. Barker
3856558
R. F. D. 3, Sardis, O.
6 Jan 1897
10 Co 3 Training Battalion 158 Depot Brigade to death. Private Died of broncho pneumonia 7 Nov 1918. Notified Mrs Judie E. Barker, mother, R. F. D. 3, Sardis, O.
d. November 7, 1920 of broncho pneumonia
14. Bates, Lawrence Woodsfield 1918 May 27 Woodsfield 1889 Oct 18
Lawrence Bates
2481885
18 Oct 1889
158 Depot Brigade to 3 July 1918; Headquarters Company 333 Infantry to Discharge Private Honorable discharge 29 July 1918. Surgeon's Certificate of Disability 100% disabled.
279-20-6699
Jan 1978
15. Bayman, Clarence K. Beallsville 1918 Jun 23 Beallsville 1892 Dec 7
Clarence K. Bayman
2481581
R. F. D. 1, Beallsville, O.
7 Dec 1892
158 Depot Brigade to 15 July 1918; Co F 333 Infantry to 5 Oct 1918; Co B 364 Infantry to Discharge Private, first class 1 Oct 1918. Ypres-Lys; Meuse-Argonne. American Expeditionary Forces 1 Sept 1918 to 18 July 1919. Honorable discharge 23 July 1919.
16. Beckett, Francis B. Sardis 1918 Sep 4 Woodsfield 1896 Oct 18
Francis B. Beckett
3856534
R. F. D. 1. Sardis, O.
18 Oct 1896
10 Co 3 Training Battalion 158 Depot Brigade to Discharge Private Honorable discharge 12 Dec 1918.
FRANCIS B BECKETT
June 06, 1961
16548
40437
, Cuyahoga County
Wooster, Wayne County
64
17. Beisel, Earl H. Sardis 1918 Aug 26 Sardis 1897 Mar 13
Earl H. Beisel
3905458
26 Aug 1918
13 March 1897
159 Depot Brigade to 9 Nov 1918. Auxiliary Remount Depot 319 Louisville Ky to Discharge Private Honorable discharge 6 June 1919.
2
Earl Beisel
281-10-0472
47201 Columbus, Bartholomew, Indiana, United States of America
13 Mar 1896
Feb 1971
Note: The year of birth is one yr. off from these two records. But there was no other WW I record for any other Earl Beisel.
Also found this info that someone posted. Maybe it will help you determine if it is the same person.
Earl Homer Beisel
Spouse:
Mildred Lavern Bisbee
Parents:
William Beisel , Elizabeth Mable Wright
Monroe, Alex Post Office, OH
Birth Date:
Death Place:
Columbus, Bartholumew, IN
Death Date:
19 February 1971
[Source: Edmund West, comp. Family Data Collection - Individual Records. [database online] Provo, UT: Ancestry.com, 2000.]
18. Beisel, Roy Walter Sardis 1918 Oct 31 Sardis 1891 Mar 2
Roy Walter Beisel
4351082
31 Oct 1918
2 March 1891
502 Aer Squadron Brindley Field Commack LI NY to 16 Nov 1918; 24 Construction Company Chapman Field Miami Fla to Discharge Private Honorable discharge 4 Apr 1919.
Roy Beisel
116-30-5042
33452 Fort Pierce, Saint Lucie, Florida, United States of America
2 Mar 1891
Dec 1984
New York (1955-1957 )
Name: Roy Walter Beisel Certificate: 115380 Death Place: St. Lucie Race: W Death Date: 16 Dec 1984 Birth Date: 02 Mar 1891
[Source: Ancestry.com. Florida Death Index, 1980-89. [database online] Provo, UT: Ancestry.com, 2001. Original data: State of Florida. Florida Death Index, 1877-1998. Florida: Florida Health Department, Office of Vital Records, 1998.]
19. Bendel, Fred R. Sardis 1918 May 27 Lee Township 1895 Nov 25
Fred R. Bendel
2481777
Lee Twp, Monroe Co, O.
25 Nov 1895
158 Depot Brigade to 25 June 1918; 33 Co Labor Regiment Cp J E Johnston Fla to 21 July 1918; F Rem Squadron 320 to 21 July 1918; F Rem Squadron 316 to 13 Aug 1918; Unit D Gr Reg Service to Discharge Private, first class 1 Feb 1919. American Expeditionary Forces 22 Aug 1918 to 18 July 1919. Honorable discharge 23 July 1919.
20. Berger, Alfred Clarington 1918 Aug 26 Clarington 1897 Mar 3
Alfred Berger
3905461
R. F. D. 3, Clarington, O.
Clarington, O.
3 March 1897
159 Depot Brigade to 29 Sept 1918; Supply Company 71 Field Artillery to Discharge Private Honorable discharge 4 Feb 1919.
274-01-6232
44260 Mogadore, Summit, Ohio, United States of America
4 Mar 1897
Apr 1985
Note: day of birth is different in the two records. Is this the right person?
21. Biedenbach, Anthony Kuhn 1918 Jul 22 Kuhn 1892 May 13 1969 Jul 1
Anthony Biedenbach
3532219
R. F. D. 1, Kuhn, O.
Kuhn, O.
13 May 1892
158 Depot Brigade to 20 Oct 1918; Base Hospital 113 Medical Department to Discharge Private, first class 27 Jan 1917; Nurse 30 Jan 1919. American Expeditionary Forces 12 Nov 1918 to 27 July 1919. Honorable discharge 4 Aug 1919.
284-10-0599
Jul 1969
Anthony J. Biedenbach was born on 13 May 1892 in Monroe Co., OH. He died on 01 Jul 1969 in Barnesville, Belmont Co., OH. He was buried in Church of the Assumption Cemetery, Barnesville, Belmont Co., OH. He married Ellen Doudna. Anthony Biedenbach's obituary appeared in the Zanesville Times Recorder on 02 Jul 1969: Barnesville -- Anthony J. Biedenbach, 77, of 306 West South Street, a retired farmer, died at 10:30 a.m. Tuesday (July 1) at Barnesville Hospital where he had been a patient for two weeks. He was born May 13, 1892, in Monroe County, a son of Joseph and Barbara Muth Biedenbach. Mr. Biedenbach was a member of the Church of the Assumption, the Holy Name Society, and the Barnesville Post of the American Legion. He was a veteran of World War I. Surviving are his widow, Ellen; a daughter, Mrs. Bernard Dick of Woodsfield, five sisters, Mrs. Mary Kuhn, Mrs. Josephine Bosold and Mrs. Anna Weisend, all of Canton, Mrs. Christine Steiner of Tucson Ariz., and Mrs. Helen Ehlerman of Caldwell; four brothers, Edmond of Lewisville, Ambrose of Caldwell, Henry of Cambridge and Clarence of Grants Pass, Ore. A brother, Casper, preceded him in death. Friends may call at Campbell-Plumly Funeral Home here 7 to 9 p.m. today and 1 to 9 p.m. Thursday and funeral mass will be held at 9:30 a.m. Friday at the Church of the Assumption. Burial will be in the Church Cemetery.
22. Bigley, Vance H. Granville, OH 1917 Sep 19 Graysville 23y 3m
Vance H. Bigley
2106473
Granville, O.
Graysville, O.
23 3/12 Years
21 Co 6 Training Battalion 158 Depot Brigade to 11 Nov 1917; Co I 347 Infantry to 10 June 1918; Co E 163 Infantry to 14 July 1918; Co H 9 Infantry to death. Private Aisne-Marne; Defensive Sector. American Expeditionary Forces 20 June 1918 to death. Killed in Action 18 July 1918. Notified D. M. Bigley, father, Graysville, O.
d. in action July 18, 1918.
23. Bigley, Wyly Rinards Mill 1918 Jun 23 Graysville 1891 Dec 22
Wyly Bigley
2481582
R. F. D. 1, Binards Mill, O.
22 Dec 1891
158 Depot Brigade to 18 July 1918; Co D 336 Infantry to 15 Aug 1918; 158 Depot Brigade to Discharge Private Honorable discharge 28 Nov 1918.
WYLY BIGLEY
February 12, 1958
15318
11077
, Guernsey County
66
24. Bilyon, Oscar Coats 1918 Jun 23 Armstrong Mills 1888 Oct 2
Oscar J. Bilyon
2481583
Coats, O.
Armstrongs Mills, O.
2 Oct 1888
158 Depot Brigade to Discharge Private Honorable discharge 28 Nov 1918.
25. Bishop, Alvy Woodsfield 1917 Sep 20 Woodsfield 22y
Alvy Bishop
No Serial Number
22 Years
158 Depot Brigade to 11 Nov 1917; Co I 347 Infantry to Discharge Private Honorable discharge 6 Feb 1918. Surgeon's Certificate of Disability
In April 1966, Alvy Bishop was installed as commander of the Muskingum Co. Barracks 454.
[Source: The Times Recorder, Zanesville, OH, Sunday, April 18, 1966, p. 8A]
26. Bishop, Oscar W. Akron, Ohio 1916 Jun 28 Woodsfield 35y 5m
Oscar W. Bishop
92060
Akron, O.
National Guard
28 Jun 1916
32 5/12 Years
Co B 8 Infantry ONG to 12 Aug 1917; Co B 4 Infantry ONG (Co B 166 Infantry) to 22 Aug 1917; Headquarters Company 166 Infantry to Discharge Cook 18 Sept 1917. Champagne-Marne; Aisne-Marne; St Mihiel; Meuse-Argonne; Defensive Sector. American Expeditionary Forces 18 Oct 1917 to 25 Apr 1919. Honorable discharge 17 May 1919.
27. Blair, Edward Bethel 1917 Oct 4 Bethel 22y 11m
Edward Blair
2111590
Bethel, O.
22 11/12 Years
Co A 11 Machine Gun Battalion to Discharge Private, first class 20 Jan 1919. Aisne-Marne; St Mihiel; Meuse-Argonne; Defensive Sector. American Expeditionary Forces 10 May 1918 to 29 July 1919. Honorable discharge 6 Aug 1919.
268-14-7052
44052 Lorain, Lorain, Ohio, United States of America
14 Mar 1894
[Source: Social Security Death Index] ?????????
28. Blair, Elisha J. Rinard Mills 1918 Jul 22 Rinard Mills 1887 Jul 23
Elisha J. Blair
3532220
R. F. D. 1, Rinard Mills, O.
Rinard Mills, O.
23 July 1887
158 Depot Brigade to 10 Aug 1918; Co F 333 Infantry to 17 Aug 1918; Co D Repair U Cp Holabird Medical Department 324 to Discharge Private Honorable discharge 8 March 1919.
ELISHA J BLAIR
January 31, 1966
18351
08927
Cleveland, Cuyahoga County
78
Elisha Blair
297-34-5492
23 Jul 1887
Jan 1966
Ohio (1956-1957 )
Elisha J. Blair, 78, of Graysville died following a short illness Monday night (Jan. 31) in Cleveland Veteran s Hospital where he had been a patient for several years.
Mr. Blair was born July 23, 1887 in Rinard Mills, son of Sylvester and Lavina Blair.
A farmer, he was a veteral of World War I.
Surviving are his widow, Lavina; a son, Homer of Rinard Mills, three daughters, Mrs. Leland Haney of Ravenna, Mrs. Carl Stephan of Dover, and Mrs. Charles Saffle of Columbus; a brother, Clyde Blair of Frazeysburg, a sister, Mrs. Blanche Marshall of Rinard Mills; and 10 grandchildren.
The body was taken to Bauer Turner Funeral Home here where services will be held at 1 p.m. Friday. Rev. C. A. Tulga will officiate with burial in Low Gap Cemetery.
[Source: The Times Recorder, Zanesville, Ohio, Thursday, February 3, 1966, 8B]
28. Blair, Harry P. Harriettsville, Ohio 1917 Sep 19 Harrietsville 21y 8m
Harry P. Blair
2 Lieutenant
Harriettsville, O.
21 8/12 Years
158 Depot Brigade to Discharge Corporal 1 Oct 1917; Sergeant 29 Jan 1918. Honorable discharge 30 Aug 1918 to accept Commission 2 Lieutenant Field Artillery 31 Aug 1918 from United States Army Cp Zachary Taylor Ky. 12 Field Artillery to --; 34 Field Artillery to Discharge Cp McClelland O; Cp Zachary Taylor Ky. Honorable discharge 3 Feb 1919.
29. Block, Sebastian A. Steubenville, Ohio 1918 May 16 Woodsfield 28y 8m
Sebastian A. Block
2695824
652 Market St., Steubenville, O.
Steubenville, O.
16 May 1918
28 8/12 Years
Training Detachment University of Maine to 26 July 1918; 8 Provisional Orders Battalion Cp Hancock Ga to Discharge Private American Expeditionary Forces 23 Sept 1918 to 22 Jan 1919. Honorable discharge 18 Feb 1919.
There is a Sebastian Block living in Mad River Twp., Montgomery Co., OH in the 1930 census. He was b. abt. 1890 in OH; parents b. in Germany. Married to Emma, one son Jack (5 yrs.). He was a metal worker at an Electric Refrigeration Co. Sebastian was a veteran of WW I. This is the only record I could find for him, no SSI available.
30. Bohmer, Charles F. New Matamoras, OH 1918 Jul 22 Jolly 1895 May 4
Charles F. Bohmer
3532221
R. F. D. 5, New Matamoras, O.
Jolly, O.
4 May 1895
16 Co 4 Training Battalion 158 Depot Brigade 23 July 1918 to 12 Aug 1918; 334 Infantry Co K 84 Division 6 Oct 1918; Detachment 1 Division to 10 Oct 1918; In Hospital Unassigned to 19 Oct 1918 to death. Private American Expeditionary Forces 2 Sept 1918 to 19 Oct 1918. Died lobar pneumonia 19 Oct 1918. Notified Mr. Charles Bohmer, father, R. F. D. 5, New Matamoras, O.
d. October 19, 1918 of lobar pneumonia
p 476 listed as a Private that died of disease, Charles F. Bohmer, New Matamoras.
[Source: Soldiers of the Great War Vol. 2, American Soldiers of World War I, p. 476; Ancestry.com. American Soldiers of World Ward I [database online]. Provo, Utah: MyFamily.com, Inc., 2003. Original data: Haulsee, W.M., F.G. Howe, and A.C. Doyle, comp. Soldiers of the Great War. Volumes I-III. Washington, D.C.: Soldiers Record, 1920. ]
31. Bott Melvon Woodsfield 1918 May 27 Woodsfield 1896 Mar 7
Melvon Bott
2481782
R. F. D. 2, Woodsfield, O.
7 March 1896
158 Depot Brigade to 19 Aug 1918; Co D 327 Machine Gun Battalion to 25 Oct 1918; Co D 14 Machine Gun Battalion to Discharge Private Meuse-Argonne. American Expeditionary Forces 3 Sept 1918 to 21 July 1919. Honorable discharge 29 July 1919.
32. Bowman, Richard W. Zanesville, Ohio 1916 Mar 30 Woodsfield 21y
Richard W. Bowman
268 Bryden Road, Zanesville, O.
Zanesville, O.
30 Mar 1916
21 Years
Co E 7 Infantry ONG to Discharge Corporal; Supply Sergeant Honorable discharge 24 July 1917. Dependency.
Richard Bowman
279-20-2652
48640 Midland, Midland, Michigan, United States of America
18 Sep 1894
Last Benefit:
Aug 1981
[Source: World War I Draft Registration for Richard W. Bowman]
33. Briggs, French C. Woodsfield 1918 May 27 Antioch 1891 May 3
French C. Briggs
2481849
Box 305, Woodsfield, O.
Aitch, O.
3 May 1891
158 Depot Brigade to 27 June 1918; Co B 8 Battalion United States Guards to Discharge Private Honorable discharge 3 Jan 1919.
French C Briggs
27 April 1975
22058
027067
83 Years
34. Briggs, Isaac Woodsfield 1918 Aug 8 Woodsfield 1889 May 11
Isaac Briggs
3374884
R. F. D. 1, Woodsfield, O.
08 Aug 1918
11 May 1889
Co D 26 Machine Gun Battalion to 1 Oct 1918; 62 Depot Brigade to Discharge Private Honorable discharge 19 Dec 1918.
Woodsfield Funeral services will be held Thursday afternoon in Moffatts Methodist chruch on Jackson Ridge for Isaac Briggs of near Antioch who died suddenly Monday evening at 10 o clock. He is survived by his widow Fay Briggs and several children, two of whom are in military service.
[Source: The Zanesville Signal, Zanesville, Ohio, Wednesday, April 12, 1944, p. 6]
35. Brister, Harry L. Burkhart 1917 Sep 19 Burkhart 24y 9m
Harry L. Brister
2106484
Burkhart, O.
24 9/12 Years
158 Depot Brigade to 11 Nov 1917; Co I 347 Infantry to 10 June 1919; Replacement Draft Cp Pike Ark to 8 July 1918; Co E 163 Infantry to 14 July 1918; Co H 9 Infantry to death. Private Aisne-Marne; Defensive Sector. American Expeditionary Forces 20 June 1918 to death. Killed in Action 18 July 1918. Notified Joe Brister, father, Kuhn, O.
d. July 18, 1918, killed in Action
36. Brown, Fred O. Woodsfield 1918 May 27 Malaga Township 1890 Mar 18
No WW I information could be found.
Fred O Brown
07 June 1974
21749
049192
Unknown
Bowling Green, Wood County
85 Years
[Source: Social Security Death Index] ??????? There is a WW I Draft Reg card for a Fred Oliver Brown b. 17 Apr 1889 in Hoytville, OH. He registered in Woods Co., OH. This might be the death record for him instead of the Fred O. Brown we are looking for!!!!
37. Brown, George F. Bellaire, Ohio 1918 Jul 23 Woodsfield 1897 Apr 24
George F. Brown
3532392
3738 Monroe St., Bellaire, O.
Bellaire, O.
23 Jul 1918
24 Apr 1897
158 Depot Brigade to 10 Aug 1918; Co D 333 Infantry to 1 May 1919; Co A 140 Infantry to Discharge Private Meuse-Argonne. American Expeditionary Forces 1 Sept 1918 to 28 Apr 1919. Honorable discharge 10 May 1919.
38. Brown, John W. Fly 1918 May 27 New Matamoras 1894 Aug 28
John W. Brown
2481872
R. F. D. 1, Fly, O.
New Matamoras, O.
28 Aug 1894
24 Co 6 Battalion 158 Depot Brigade to 1 July 1918; Co D 326 Machine Gun Battalion to 25 Oct 1918; Co A 132 Machine Gun Battalion to Discharge Private American Expeditionary Forces 2 Sept 1918 to 4 June 1919. Honorable discharge 13 June 1919.
John Brown
280-10-7642
43920 East Liverpool, Columbiana, Ohio, United States of America
JOHN W BROWN
June 15, 1966
18483
41885
East Liverpool, Columbiana County
71
39. Brown, Otto C. Ozark 1918 Jun 23 Somerton, OH 1891 Jun 25
Otto C. Brown
2481584
Somerton, O.
25 June 1891
158 Depot Brigade to 17 July 1918; Headquarters Company 336 Infantry to 20 Dec 1918; Headquarters Company 13 Field Artillery to Discharge 3cl Musician 1 Aug 1918. American Expeditionary Forces 9 Sept 1918 to 31 July 1919. Honorable discharge 6 Aug 1919.
40. Brownfield, George N. Columbus, Ohio 1917 Dec 8 Woodsfield 25y 11m
George N. Brownfield
817699
86 Lorraine Ave., Columbus, O.
Regular Army
Columbus Barracks, O.
08 Dec 1917
25 11/12 Years
Headquarters Detachment 3 Battalion 67 Artillery Coast Artillery Corps to Discharge Private American Expeditionary Forces 26 Aug 1918 to 22 Feb 1919. Honorable discharge 11 March 1919.
41. Brownfield, Harvey S, Woodsfield 1918 Jul 22 Calais 1892 Mar 24
Harvey S. Brownfield
3532223
R. F. D. 3, Woodsfield, O.
Calais, O.
24 March 1892
158 Depot Brigade to 18 Oct 1918; Medical Department Base Hospital 112 to Discharge Private Honorable discharge 3 May 1919.
HARVEY S BROWNFIELD
April 19, 1960
16129
29867
Newark, Licking County
68
[Source: Social Security Death Index] ??????????
42. Bruce, George E. Lewisville, Ohio 1918 Sep 4 Woodsfield 1892 Aug 30
George E. Bruce
3861543
R. F. D. 1, Louisville, O.
Moundsville, W. Va.
30 Aug 1892
13 Co 4 Training Battalion 158 Depot Brigade to Discharge Private Honorable discharge 29 Nov 1918.
George Bruce
285-07-6053
44074 Oberlin, Lorain, Ohio, United States of America
44055 Lorain, Lorain, Ohio, United States of America
Jun 1978
43. Bruny, Clarence E. Woodsfield 1918 May 27 Sardis 1896 Mar 15
Clarence E. Bruny
2481775
15 March 1896
158 Depot Brigade to 17 June 1918; 6 Heavy Mobile Ordnance Repair Shop to Discharge Corporal 23 Sept 1918. American Expeditionary Forces 1 Sept 1918 to 9 March 1919. Honorable discharge 29 March 1919.
3
1930 living in Rittman, Wayne Co., OH w/ wife, Mary, and daug. Ruth.
44. Bruny, Herman E. Sardis 1918 May 27 Sardis 1894 Mar 19
Herman E. Bruny
2481918
19 March 1894
158 Depot Brigade to 25 June 1918; 33 Co Labor Regiment Cp Joseph E Johnston Fla to 21 July 1918; Field Remount Squadron 320 to 25 July 1918; Field Remount Squadron 316 to Discharge Private, first class 1 March 1919. American Expeditionary Forces 14 Aug 1918 to 26 June 1919. Honorable discharge 3 July 1919.
1920 living as a boarder in Kenmore, Summit Co., OH.
45. Buchanan, Charles H. Woodsfield 1918 Sep 2 Woodsfield Apr 1, 1897
Charles H. Buchanan
4022111
Wilkinsburg, Pa.
02 Sep 1918
1 Apr 1897
154 Depot Brigade to 2 Oct 1918; Medical Department Cp Meade to 18 Dec 1918. Private Honorable discharge 31 May 1919.
CHARLES H BUCHANAN
May 20, 1960
16152
35667
Columbus, Franklin County
63
46. Buchanan, Frank Lewisville 1918 Apr 26 Lewisville 29y 8m
Frank T. Buchanan
2435779
Lewisville, O.
26 Apr 1918
29 8/12 Years
158 Depot Brigade to Discharge Private Honorable discharge 7 Sept 1918. Surgeon's Certificate of Disability 100% disabled.
Frank Buchanan
299-03-9292
24 Jun 1888
Mar 1963
[Source: Social Security Death Index] ?????????? note the difference in this record w/ date of death as Mar 1963 and the next as Apr. 1, 1963.
FRANK BUCHANAN
April 01, 1963
17259
30168
Cincinnati, Hamilton County
74
47. Bunner, Glenn G. Cleveland, Ohio 1918 May 25 Woodsfield 26y 1m
Glenn G. Bunner
2657177
1429 W. 65th St., Cleveland, O.
Cleveland, O.
25 May 1918
26 1/12 Years
Co A 2 Infantry Replacement Regiment Cp Gordon Ga to 18 Aug 1918; Cp Gordon Ga Automatic Replacement Draft to --; 1 Battalion 329 Infantry to 14 Oct 1918; Machine Gun Company 120 Infantry to Discharge Private Somme Offensive. American Expeditionary Forces 23 Aug 1918 to 12 Apr 1919. Honorable discharge 26 Apr 1919.
1930 living in Cleveland, Cuyahoga Co., OH w/ widowed mother, no occupation.
48. Bunting, Orlin E. Kuhn 1918 Apr 1 Seneca 32y
Orlin E. Bunting
2426278
01 Apr 1918
Seneca, O.
32 Years
158 Depot Brigade to 22 Apr 1918; Co E 330 Infantry to 30 July 1918; Co F 104 Infantry to Discharge Private St Mihiel; Meuse-Argonne. American Expeditionary Forces 11 June 1918 to 5 Apr 1919. Honorable discharge 24 Apr 1919.
49. Burgbacher, Clarence Woodsfield 1918 Jun 23 Woodsfield 1891 Apr 19
Clarence C. Burgbacher
2481586
S. Main St., Woodsfield, O.
19 Apr 1891
158 Depot Brigade to 16 July 1918; Co B 309 Ammunition Train to Discharge Private Honorable discharge 30 Dec 1918.
Clarence Burgbacher Rites Friday
Funeral services for Clarence Burgbacher, 56, will be conducted from the St. Sylvester Catholic Church at Woodsfield Friday morning at 9 o clock with Msgr. J. C. Maylor officiaiting. Burial will be in the church cemetery.
Mr. Burgbacher died suddenly at his home in Woodsfield Tuesday. The body has been returned to the residence from the Schumacher funeral home in Woodsfield.
[Source: The Times Recorder, Zanesville, Ohio, Thursday, December 22, 1949. p. 3]
50. Burkhard, Albert R. Woodsfield 1917 Aug 8 Woodsfield 21y 10m
No records found
51. Burkhard, Sylvester J. Ozark 1917 Oct 4 Ozark 27y 5m
Sylvester J. Burkhard
2111710
27 5/12 Years
158 Depot Brigade to 11 Nov 1917; Co C 336 Machine Gun Battalion to 18 June 1918; Co E Main Training Depot Machine Gun Training Corps Cp Hancock Ga to Discharge Private, first class 1 July 1918; Corporal 5 Oct 1918. Honorable discharge 24 Feb 1919.
Sylvester Burkhard
234-09-9289
20906 Silver Spring, Montgomery, Maryland, United States of America
27 Apr 1890
Oct 1986
West Virginia (Before 1951 )
[Source: Social Security Death Index] ???????
52. Burkhart, Clarence E. Cleveland, Ohio 1917 Sep 21 Woodsfield 27y
Clarence E. Burkhart
1944367
1457 W. 3Reserve Division St., Cleveland, O.
21 Sep 1917
27 Years
Co D 331 Infantry to Discharge Mess Sergeant 1 Oct 1917. American Expeditionary Forces 5 June 1918 to 26 Jan 1919. Honorable discharge 8 Feb 1919.
53. Burkhart, Edward Shadyside, Ohio 1918 Apr 27 Woodsfield 27y 1m
Edward Burkhart
2482725
Central Ave., Shadyside, O.
27 Apr 1918
27 1/12 Years
36 Co 9 Training Battalion 158 Depot Brigade 27 Apr 1918 to 2 May 1918; Co C 330 Infantry to 24 July 1918; Co B 7 Infantry to 18 Oct 1918. Private Meuse-Argonne. American Expeditionary Forces 12 June 1918 to 18 Oct 1918. Died of Wounds 18 Oct 1918. Notified Joseph Burkhart, father, 11 E. 36th St., Shadyside, O.
d. October 18, 1918 of wound
Burkhart, Edward, Shadyville (believe to mean Shadyside)
[Source: American Soldiers of World War I, Soldiers Of The Great War Vol 2; Ancestry.com. American Soldiers of World Ward I [database online]. Provo, Utah: MyFamily.com, Inc., 2003. Original data: Haulsee, W.M., F.G. Howe, and A.C. Doyle, comp. Soldiers of the Great War. Volumes I-III. Washington, D.C.: Soldiers Record, 1920. p. 480 ]
54. Burkhart, Edward J. Woodsfield 1918 Jul 22 Monroe County 1891 May 22 1976 Dec
Edward J. Burkhart
3532224
22 May 1891
158 Depot Brigade to 12 Aug 1918; Co C 334 Infantry to 9 Oct 1918; Co L 16 Infantry to Discharge Private Meuse-Argonne. American Expeditionary Forces 15 Sept 1918 to 2 Sept 1919. Honorable discharge 24 Sept 1919.
Edward J Burkhart
26 December 1976
22712
091604
Never Married
, Noble County
291-42-3945
Dec 1976
Ohio (1963 )
55. Burkhart, Fred Woodsfield 1918 Aug 8 Monroe County 1893 Mar 31 1979 Sep
Fred Burkhart
3374885
R. F. D. 3, Box 25, Woodsfield, O.
Monroe, O.
31 March 1893
Co K 67 Infantry to 14 Oct 1918; 1 Co Development Battalion Cp Sheridan Ala to Discharge Private Honorable discharge 29 Dec 1918.
292-44-0055
23 Mar 1893
Sep 1979
Ohio (1963-1964 )
56. Burkhart, Hillary F. Woodsfield 1918 Jun 23 Woodsfield 1889 Sep 11
Hillary F. Burkhart
2481587
11 Sept 1889
158 Depot Brigade to 18 July 1918; Medical Department 79 Sn Squadron to Discharge Private American Expeditionary Forces 8 Sept 1918 to 13 June 1919. Honorable discharge 24 June 1919.
57. Burkhart, Isadore Woodsfield 1918 Jul 22 Woodsfield 1886 Aug 14
Isadore Burkhart
3532225
14 Aug 1886
158 Depot Brigade to 12 Aug 1918; Co D 334 Infantry to Discharge Private Honorable discharge 14 Jan 1919.
25 November 1976
22656
077638
89 Years
286-36-9368
14 Aug 1887
Nov 1976
Ohio (1957-1958 )
58. Burkhart, Isadore J. Woodsfield 1918 Aug 26 Woodsfield 1897 Mar 4 1976 Jun
Isadore J. Burkhart
3905466
4 March 1897
Isadore Joseph Burkhart, enlistment date: August 26, 1918 Son of Jacob D. and Philomena Burkhart of Miltonsburg, Ohio Spouse: Settie Starr
Isadore J Burkhart
10 June 1976
22527
045373
Divorced
79 Years
281-22-4181
Jun 1976
59. Burkhart, James H. Shadyside, Ohio 1918 Sep 5 Woodsfield 1897 Jan 11
James H. Burkhart
3855181
11 E. 36th St., Shadyside, O.
05 Sep 1918
11 Jan 1897
158 Depot Brigade to 6 Nov 1918; Co E 379 Infantry to Discharge Private Honorable discharge 10 Dec 1918.
James Burkhart
233-01-8721
43947 Shadyside, Belmont, Ohio, United States of America
Feb 1974
James H Burkhart
13 February 1974
21582
007283
Bellaire, Belmont County
Shadyside, Belmont County
77 Years
[Source: WW I Draft Registration for James Henry Burkhart]
60. Burkhart, Leo R. Woodsfield 1917 Oct 4 Woodsfield 1894 Sep 19 1982 Jul 9
Leo R. Burkhart
2111593
158 Depot Brigade to 11 Nov 1917; Co C 336 Machine Gun Battalion to Discharge Private, first class 19 July 1918. American Expeditionary Forces 23 Aug 1918 to 7 March 1919. Honorable discharge 20 March 1919.
Leo R Burkhart
09 July 1982
19 September 1894
24912
051022
Yes - Used for certification
Social Security Number:
294121340
Hispanic Origin:
German
Leo Burkhart
294-12-1340
19 Sep 1894
Jul 1982
Leo R. Burkhart, enlistment date: October 4, 1917 Son of Joseph F. and Lucy J. Dougherty Burkhart Spouse: Marie Josephine Miller
61. Burkhart, Sylvester Woodsfield 1918 Jun 23 Woodsfield 1890 May 9 1982 Jul
Sylvester Burkhart
2933819
9 May 1890
158 Depot Brigade to Discharge Private Honorable discharge 1 Aug 1918. Surgeon's Certificate of Disability 20% disabled.
286-36-9405
According to David Burkhart<EMAIL_ADDRESS>in Burkhart/Kuhn Family Tree, his parents are Martin Burkhart and Barbara L. Reischman
62. Burkhart, Sylvester J. Woodsfield 1918 Sep 4 Miltonsburg 1897 Mar 24 1976 Apr
Sylvester J. Burkhart
3856588
Miltonsburg, O.
24 March 1897
158 Depot Brigade to 23 Oct 1918; 7 Co E NY Fort Totten NY Coast Artillery Corps to Discharge Private Honorable discharge 31 Dec 1918.
298-18-1130
43724 Caldwell, Noble, Ohio, United States of America
24 Mar 1897
Apr 1976
d. April 12, 1976
Burkhart
Sylvester Burkhart, 78, of Caldwell Route 4, a retired farmer and father of a Zanesville woman, died at 2:30 p.m. Monday in Chillocothe Veterans Hospital in Chillocothe, where he was a patient for a short time.
He was a member of St. Mary s Catholic Church at Fulda and was a World War I vetaran.
Surviving are two sons, Roy, of Marietta and Raymond H. of Caldwell, Route 4; a daughter, Miss Velma Burkhart of 1301 Ridge Ave, four grandchildren; three brothers, Lawrence and Fred, both of Barnesville, Edward of Caldwell, and a sister, Mary Biedenbach of Barnesville. His wife Bertha died in 1973.
Friends may call from 2 to 4 and 7 to 9 p.m. today at the Brubach Funeral Home in Summerfield, where a Rosary will be sited at 8 p.m. today.
Mass of Christian burial will be at 10 a.m. Wednesday in St. Mary s Church in Fulda. Burial will be in the church cemetery.
[Source: The Times Recorder, Zanesville, Ohio, Tuesday, April 13, 1976, p. 5A]
63. Burkhart, Sylvester P. Lewisville 1917 Oct 4 Lewisville 1895 Jan 9 1968 Oct 10
Sylvester P. Burkhart
2111558
22 10/12 Years
158 Depot Brigade to 11 Nov 1917; Co C 336 Machine Gun Battalion to Discharge Sergeant 10 Jan 1918. American Expeditionary Forces 24 Aug 1918 to 7 March 1919. Honorable discharge 20 March 1919.
167-09-8440
15311 Amity, Washington, Pennsylvania, United States of America
9 Jan 1895
Oct 1968
Pennsylvania (Before 1951 )
Sylvester Peter Burkhart, enlistment date: October 4, 1917 Son of Thomas and Clara E. Albert Burkhart Spouse: Revilda Trapp
64. Burkhart, Walter V. Sardis 1918 May 27 Moundsville, WV 1890 May 12
65. Burkhart, William M. Burkhart 1918 Aug 26 Burkhart 1895 Jan 10
William M. Burkhart
3905470
10 Jan 1895
159 Depot Brigade to 27 Sept 1918; Battery F 67 Field Artillery to Discharge Private Honorable discharge 20 Dec 1918.
66. Byers, Cecil D. Woodsfield 1918 Sep 3 Pomeroy, Ohio 1894 Feb 16
Cecil D. Byers
3858607
03 Sep 1918
Pomeroy, O.
16 Feb 1894
158 Depot Brigade to desertion. Corporal 2 Oct 1918; Private 25 Oct 1918. Deserted 29 Oct 1918 Camp Sherman O.
** Note the difference in enlistment location vs your information.
Deserted October 29, 1918


Trader Lorenzo:
At one time there were discussions regarding opening the border, but now it is even more tightly sealed than before...
My younger brother went to Elmore to start a business... I'm afraid I may never see him again!
See the lord and get the tax rate information
Quest


Use DOMCSSFetcher as a bookmarklet Drag this DOMCSSFetcher link to your bookmark bar, now you can use it on any website!
Try Ctrl + Clicking on these elements!


If you don't know what you are doing, I'd say reading this book is more efficient than just googling things (I've tried)


Introduction
In the last chapter we learned the definition of mean and variance, which are kind of point estimation. Point estimation means using sample data to calculate a single value which is to serve as a 'best estimation' of an unknown population. However, this it not enough because point estimations can be deceiving. We need to use more rigorous methods to test our ideas. That's why we consider distribution and hypothesis testing. Random variable distribution is the basis for almost all quantitative finance topics: linear regression, CAPM, Black-Scholes, binomial tree pricing, etc.
Random Variables
First let's start with the concept of random variable. A random variable can be thought of as a drawing from a distribution whose outcome prior to the draw is uncertain. Imaging rolling a dice, you know that your chance of getting each is 1/6, but you don't know what's the number of your next roll is. If we roll the dice N times and record the number of each roll, a collection of those numbers is called discrete random variable. A discrete variable can take on a finite number of values. For our example, we can only take numbers from{1,2,3,4,5,6}.
The other kind of variable is continuous random variable. A continuous variable can take on any value in a given range. You can think the rate of return as a continuous variable, it theoretically can take any value from \((-\infty, +\infty)\).
Distributions
Each random variable follows a probability distribution, which is a function that can be thought of as providing the probabilities of occurrence of different possible outcomes in an experiment. In our dice example, the probability distribution of each number is 1/6. We usually use \(P(X)\) to represents probability distribution function, where X is the outcome value. In our example, \(P(1) = P(2) = p(3) = 1/6\).
However, we can't use this for a continuous distribution, because the the probability that draw a specific number from a continuous variable is 0, due to the infinity possible outcomes we have. Instead, we use probability density function(PDF) function to describe the probability that a value is in a specific range. We we cover this later.
For each probability distribution function, we have a cumulative distribution function(CDF). It defines as \(P(X<x)\), which models the probability that the random variable X will take a value less than or equal to x. For discrete random variables, we just sum up the values less than or equal to x and then divide it with number of observations.
Uniform Distribution
Uniform distribution is the simplest type of probability distribution. A discrete uniform distribution has equal weight assigned to all outcomes. Both rolling a dice and toss a fare coin are classical uniform distributions.
Here we use python to simulate rolling a dice 10000 times.
import random
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
#define a function to simulate rolling a dice
def dice():
number= [1,2,3,4,5,6]
return random.choice(number)
series = np.array([dice() for x in range(10000)])
print series
We create a series of random variable here. We can plot the values on the x-axis and put their number of occurrences on the y-axis to have a direct view of the distribution:
plt.figure(figsize = (20,10))
plt.hist(series,bins = 11,align = 'mid')
plt.xlabel('Dice Number')
plt.ylabel('Occurences')
plt.grid()
plt.show()
Let's say we want to know the frequency that the observations are less than or equal to 3. In other words we want to seek the value of \(P(X<3)\).
print len([x for x in series if x <= 3])/float(len(series))
[out]: 0.4956
print np.mean(series)
[out]: 3.5103
\(P(X<3)\) is very close to 0.5. This is not surprising because we rolled the dice 1000 times, and the frequency that the observations less than or equal to 3 should be close to the real probability, which is 0.5.
For a given uniform distribution, it's straightforward to calculate it's mean: it's the center of the distribution because everyone outcome is equal weight. For our dice example, we can think it as
\[\mu = (1+2+3+4+5+6)/6 = 3.5\]
Or
\[E(x) = 1*\frac{1}{6} + 2*\frac{1}{6}+...+6*\frac{1}{6} = 3.5\]
More generally, if we a assume the minimum value in a uniform distribution is a and the maximum value is b, the mean can be given by:
\[\bar{u} = \frac{a+b}{2}\]
Usually we use \(\bar{u}\) to represents the population mean, or the 'real mean'. Here we create a sample with 1000 observations, the mean we calculated above is the sample mean. Sample mean usually doesn't equal to the theoretical population mean unless the number of observation approaches to infinity.
The variance is given by:
\[\sigma^2 = \frac{(b-a)^2}{12}\]
Deducing the formula is out of our lecture scope. It's useful to realize for a given standard distribution, we can formularize its mean and variance.
Binomial Distribution
A binomial distribution is a discrete probability distribution of the number of successes in a sequence of n independent experiments. Let's assume that the market has 50% probability goes up and 50% probability goes down, and we observe it in the next 10 days, what's the distribution of the number of days it goes up? This is a binomial distribution example.
In general, if we carry out the experiment n times, and each outcome is independent, with the same probability of success p, the probability of getting exactly k successes is given by the function:
\[P(X = K) = C_n^k p^k (1-p)^{n-k}\]
Where
\[C_n^k = \frac{n!}{(n-k)!k!}\]
Under such circumstance we say X follows the binomial distribution \(X \sim B(n,p)\).
Let's simulate a binomial experiment with success rate p = 0.7 and experiment times n = 10
def trial():
number = [1,2,3,4,5,6,7,8,9,10]
a = random.choice(number)
if a<= 7:
return 1
else:
return 0
Each time we execute trial(), we did an experiment. If it succeed, it will return 1, otherwise it will return 0. Now we are going to do the experiment 10 times:
res = [trial() for x in range(10)]
print sum(res)
[out]: 7
Now we did the experiment 10 times, and the number of success is sum(res). However, it just means during these 10 experiments we succeed sum(res) times. If we want to see the binomial distribution, we need experiment N times. When n is large enough, our frequency will approach the theoretical probability. Here we simulate each outcome 10000 times:
def binomial(number):
l = []
for i in range(10000):
res = [trial() for x in range(10)]
l.append(sum(res))
return len([x for x in l if x == number])/float(len(l))
print binomial(8)
[out]: 0.2367
The number printed above is the simulated probability that we succeed 8 times if we experiment 10 times.
for each possible outcome, we simulate the probability:
prob = []
for i in range(1,11):
prob.append(binomial(i))
prob_s = pd.Series(prob,index = range(1,11))
print prob_s
[out]: 1 0.0002
2 0.0013
3 0.0087
4 0.0373
5 0.1041
6 0.2000
7 0.2674
8 0.2342
9 0.1153
10 0.0283
Here we got the simulated result of the binomial distribution. Now we are going to check if the simulated frequencies close enough to the theoretical probabilities. Let's take X = 7 and X = 8 as example:
print (float(factorial(10))/(factorial(7)*factorial(10-7)))*(0.7**7)*(0.3**3)
[out]: 0.266827932
print (float(factorial(10))/(factorial(8)*factorial(10-8)))*(0.7**8)*(0.3**2)
[out]: 0.2334744405
As we can see, the simulated results are pretty close to the real probability!
we can plot the results as follows:
plt.figure(figsize = (20,10))
plt.bar(range(1,11),prob)
plt.grid()
plt.show()
Another good property of binomial distribution is that its mean and variance are simple enough:
\[\bar{u} = np\]
\[\sigma^2 = np(1-P)\]
We will not introduce the deduction here, but if you are interested in it, we encourage you to do it yourself, based on the probability functions we provided above.
Normal Distribution
Before looking at normal distribution, let's first talk about continues distribution. As we mentioned above, we use a probability density function(PDF) to model the probability that our value is taken our a specific range. We define it as:
\[P(a<X<b) = \int_{a}^{b}f_x(x)dx\]
Now we can talk about the normal distribution. The normal distribution is most commonly used distribution in natural sciences, of course also in financial research. The PDF of normal distribution is given as follows:
\[f(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}\]
Where \(\mu\) is the mean of the normal distribution, and \(\sigma\) is the standard deviation.
Generally, if a random variable X follows normal distribution, we represent it by \(X\sim N(\mu, \sigma^2)\).
Specifically, if a normal distribution has a 0 mean and 1 standard deviation, we called it standard normal distribution.
Now let's simulate a standard normal distribution using Python packages to see what it looks like:
plt.figure(figsize = (20,10))
norm.plot.density()
plt.show()
Financial data is highly disordered and is considered to has lots of noise. Most of the time we believe those noise follows normal distribution. It's also widely believed that the return on an asset over a short period of time follows normal distribution. Let's check it with the daily logarithm rates of return on SPY:
import quandl
quandl.ApiConfig.api_key = 'tAyfv1zpWnyhmDsp91yv'
spy_table = quandl.get('BCIW/_SPXT')
spy = spy_table.loc['2009':'2017',['Open','Close']]
spy['log_return'] = np.log(spy.Close).diff()
spy = spy.dropna()
we calculated the logarithm daily return of S&P 500 index from 2009 to present.
Let's first have a look at the what the time-series return data looks like:
plt.figure(figsize = (20,10))
spy.log_return.plot()
plt.show()
This is a classic daily return chart. Let's now plot the density chart of the returns:
plt.figure(figsize = (20,10))
spy.log_return.plot.density()
plt.show()
If we observe the x-axis and y-axis carefully, we can see the return of asset is not a standard normal distribution. The peak of the standard normal distribution plot is around 0.4, while it's over 0.6 for this chart. This is because the standard deviation \(\sigma\) of the return is obviously not 1.
We can demonstrate the normal distribution with different mean and variance by simulation:
de_2 = pd.Series(np.random.normal(0,2,10000),name = 'μ = 0, σ = 2')
de_3 = pd.Series(np.random.normal(0,3,10000),name = 'μ = 0, σ = 3')
de_0 = pd.Series(np.random.normal(0,0.5,10000), name ='μ = 0, σ = 0.5')
mu_1 = pd.Series(np.random.normal(-2,1,10000),name ='μ = -2, σ = 1')
df = pd.concat([de_2,de_3,de_0,mu_1],axis = 1)
plt.figure(figsize=(20,10))
df.plot.density()
plt.show()
Summary
In this chapter we introduced random variable, the difference between discrete random distribution and continuous random distribution, and most importantly, normal distribution. In the next chapter we will introduce how to use these distributions to test our idea or generating trading signals.


Stadia launch games revealed
by Andy ChalkGoogle has revealed the games that will be available on Stadia when the system goes live on November 19. The game streaming service will get rolling with 12 "carefully-chosen games" on launch day, and 14 more are expected to be added by the end of 2019.
It's not what I'd call an overwhelmingly impressive list. Odyssey, Destiny 2, and the Tomb Raider games are all blockbusters, but they've also been around for awhile, and the same could be said for RDR2, even though it's new on PC—and, it bears mentioning, is having some issues in the transition. Google has previously confirmed more than 40 games for Stadia and while most won't even be released until sometime next year, I expected more than a dozen for the big kickoff.
The selection will fill out over the balance of the year with these, although specific dates haven't been set yet:
- Attack on Titan 2: Final Battle
- Borderlands 3
- Darksiders Genesis
- Dragonball Xenoverse 2
- Farming Simulator 19
- Final Fantasy 15
- Football Manager 2020
- Ghost Recon Breakpoint
- Grid
- Metro Exodus
- NBA 2K20
- Rage 2
- Trials Rising
- Wolfenstein: Youngblood
Things will get more interesting in 2020 when new games start flowing onto Stadia, including Doom: Eternal, Watch Dogs: Legion, Gods and Monsters, and Cyberpunk 2077. Watch Dogs and Gods and Monsters aren't going to have any immediate impact on Stadia's fortunes, though, as they were delayed in October and won't be out until sometime after April 1, 2020.
Individual game purchase prices on Stadia haven't been revealed, although Google has previously said that it expects they'll be the same price as on other storefronts. Stadia Pro subscribers will receive free games as part of their $10 monthly subscriptions, beginning with Destiny 2: The Collection, and will also get a discount on purchases.


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CHEM 005 incorporates reading, problem-solving, and ‘edible’ home experiments to develop an understanding of chemical concepts and scientific inquiry within the context of food and cooking. Prior study of chemistry is not assumed, but you should have taken at least one class in algebra before taking CHEM 005. For some students, CHEM 005 provides the chemistry required by their major area of study. For other students, CHEM 005 provides review and preparation for subsequent Chemistry classes such as CHEM 110 (Chemical Principles I) and CHEM 130 (Introduction to General, Organic, and Biochemistry).
When you successfully complete this course, you will be able to:
Access to a basic functional kitchen and Food/ingredients and equipment for weekly labs. A complete list of required cooking equipment and ingredients for weekly labs can be found here . Note: Please look through this list carefully and make sure that you have ways to either purchase or borrow any ingredients/equipment that you do not already have in your kitchen. Your cost for the lab activities will depend on how fully stocked your kitchen is, and please keep receipts for any equipment or ingredients you buy specifically for this course.
You'll need to order the following two items as soon as possible to ensure lab success.
On Food and Cooking: The Science ad Lore of the Kitchen , by Harold McGee, Scribner; Rev Upd edition (November 23, 2004), ISBN:<PHONE_NUMBER>011 (cost about $25).
Chemistry for Dummies by John T. Moore, 2nd edition (May 31, 2011), ISBN-13:<PHONE_NUMBER>303 (cost about $15). Many students from previous semesters have found this book to be helpful to simplify some of the complex Chemistry topics.
| Week | Topic |
|---|---|
| 1 | Course Preparation |
| 2 | Matter and Measurement |
| 3 | Food Components |
| 4 | Water |
| 5 | Energy, Temperature, and Heat |
| 6 | Midterm Exam 1 |
| 7 | Phase Transition |
| 8 | Vegetables and Fruits |
| 9 | Starch and Sauces |
| 10 | Chocolate |
| 11 | Midterm Exam 2 |
| 12 | Coffee and Tea |
| 13 | Baking |
| 14 | Browning Reactions |
| 15 | Fermentation |
| 16 | Final Project Assignments (Canvas) |
This course consists of 12 lessons. For each lesson you will complete the reading and lesson assignments. In addition, you will conduct lab activities for most of the lessons, and contribute to the course discussion regularly.
Orientation Activities (total worth 20 points): During the first week of the class, you will conduct some orientation activities on Canvas: take a food safety quiz (worth 5 points), take a course syllabus quiz (worth 5 points), submit the signed food safety and academic integrity contracts (worth 5 points), and complete an introduction discussion assignment (worth 5 points).
Lesson Assignments (12 total, each worth 10 points): Each lesson will have a lesson assignment (on Canvas) which may include fill-in-the blank, short essay, and multiple choice questions. See course schedule for deadlines for each lesson assignment. The goal of these assignments are for you to understand and apply the materials learned from the lesson contents. You are allowed to use your notes and may need to research on the internet when complete these assignments. For each lesson assignments, you will have two attempts with a 60 minutes time limits, and the highest score counts towards your overall grade. There will be 12 lesson assignments, and each worth 10 points.
Lab Reports (10 total, each worth 20 points): Most of the lessons will have a lab activity performed individually by the student. Each experiment will have a lab report submitted consisting of experimental data, observations (and pictures, when applicable), and short answers to interpretive questions. See course schedule for deadlines for each lab report. There will be 10 lab report total, each worth 20 points.
Course Discussions (6 total, each worth 10 points): In this course, we will use Canvas Discussion Forum to discuss food and cooking with each other. You will regularly contribute and comment on your classmates’ posts in response to required readings and class discussions. See course schedule for deadlines for each discussion assignment. The grading rubrics for discussion contributions is posted on Canvas.
Self-Proctored Online Mid-Term Exams (2 total, each worth 120 points): There will be two mid-term exams in the semester where you will have the opportunity to show how well you have learned the course material. The exams will be delivered through Canvas, and they will be worth 120 points each.
Self-Proctored Final Project (worth 160 points): You will carry out your own scientific study of some recipe or aspect of cooking in your own kitchen. Guidelines and further information about the final project will be available on Canvas under Final Project Module.
| Assignments (Canvas) | Number | Points Each | Total Points | % of Course Grade |
|---|---|---|---|---|
| Orientation Activities | 4 | 5 | 20 | 2.5% |
| Lesson Assignments | 12 | 10 | 120 | 15% |
| Lab Reports | 10 | 20 | 200 | 25% |
| Course Discussions | 6 | 10 | 60 | 7.5% |
| Mid-Term Exams | 2 | 120 | 240 | 30% |
| Final Project Report | 1 | 160 | 160 | 20% |
| Final Project Photo/Video Discussion (Extra Credit) | 1 | 20 | 20 | 2.5% |
| Total | 800 | 100% |
| Letter Grade | Total Points | % of Course Points |
|---|---|---|
| A | 724-800 | 90.5-100% |
| A- | 708-723 | 88.5-90.4% |
| B+ | 692-707 | 86.5-88.4% |
| B | 636-691 | 79.5-86.4% |
| B- | 620-635 | 77.5-79.4% |
| C+ | 604-619 | 75.5-77.4% |
| C | 532-603 | 66.5-75.4% |
| D | 452-531 | 56.5-66.4% |
| F | < 451 | < 56.4% |
Meeting assigned due dates is critical for demonstrating progress and ensuring appropriate time for instructor feedback on assignments. We recommend that you try to complete the assignments as close to the scheduled time as possible.
However, sometimes students are unable to meet due dates. In those rare cases, the following late submission policy applies:


WikiLeaks<EMAIL_ADDRESS>leaked emails, 2009 mail archive
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My vote is no. I don't think we should disavow the other groups. Unity is strength.
Yahweh Bless
Roy
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OKTAVE
About
OKTAVE is a web application that allows users to get music recommendations based on musical characteristics, such as tempo, key, mode, and/or time signature.
Search by track: Search for a track you have in mind. OKTAVE will return a grid of tracks that match your search. Click on the row of any given track to discover tracks with similar musical features.
Search by musical characteristics: Select any combination of tempo, key, mode (major/minor), and time signature to discover tracks with similar features.
Glossary of Musical Terms
Tempo
The speed or pace of a given piece. Measured in beats per minute (BPM).
Key
The group of pitches, or scale, that forms the basis of a musical composition.
Mode
Indicates the modality (major or minor) of a track, the type of scale from which its melodic content is derived.
Time signature
A notational convention used in Western musical notation to specify how many beats (pulses) are to be contained in each measure (bar) and which note value is equivalent to one beat.
Acousticness
A confidence measure from 0 to 100 of whether the track is acoustic. 100 represents high confidence the track is acoustic.
Danceability
Describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0 is least danceable and 100 is most danceable.
Energy
A measure from 0 to 100 that represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.
Instrumentalness
Predicts whether a track contains no vocals. “Ooh” and “aah” sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly “vocal”. The closer the instrumentalness value is to 100, the greater likelihood the track contains no vocal content. Values above 50 are intended to represent instrumental tracks, but confidence is higher as the value approaches 100.
Liveness
Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 80 provides strong likelihood that the track is live.
Loudness
The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typical range between -60 and 0 db.
Speechiness
Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 100 the attribute value. Values above 66 describe tracks that are probably made entirely of spoken words. Values between 33 and 66 describe tracks that may contain both music and speech, either in sections or layered, including such cases as rap music. Values below 33 most likely represent music and other non-speech-like tracks.
Positivity
A measure from 0 to 100 describing the musical positiveness conveyed by a track. Tracks with high positivity sound more cheerful or euphoric, while tracks with low positivity sound more sad, depressed, or angry.


| Opcode* | Instruction | Op/En | 64/32bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|---|
| 0F 01 EF | WRPKRU | NP | V/V | OSPKE | Writes EAX into PKRU. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| NP | NA | NA | NA | NA |
Writes the value of EAX into PKRU. ECX and EDX must be 0 when WRPKRU is executed; otherwise, a general-protection exception (#GP) occurs.
WRPKRU can be executed only if CR4.PKE = 1; otherwise, an invalid-opcode exception (#UD) occurs. Software can discover the value of CR4.PKE by examining CPUID.(EAX=07H,ECX=0H):ECX.OSPKE [bit 4].
On processors that support the Intel 64 Architecture, the high-order 32-bits of RCX, RDX and RAX are ignored.
IF (ECX = 0 AND EDX = 0) THEN PKRU ← EAX; ELSE #GP(0); FI;
None.
WRPKRU:
void _wrpkru(uint32_t);
| #GP(0) |
If ECX ≠ 0. If EDX ≠ 0. |
| #UD |
If the LOCK prefix is used. If CR4.PKE = 0. |
Same exceptions as in protected mode.
Same exceptions as in protected mode.
Same exceptions as in protected mode.
Same exceptions as in protected mode.


---
layout: single
title: "[How To] Forensic Data Acquisition - Hardware Write Blockers"
date: '2016-10-17T18:00:00.000+09:00'
author: Joshua James
tags:
- Digital Forensics
- dfir
- Forensic Acquisition
- HowTo
modified_time: '2016-10-17T18:00:08.246+09:00'
thumbnail: https://img.youtube.com/vi/7eT8KSHMGFw/default.jpg
blogger_id: tag:blogger.com,1999:blog-2701259639305045003.single-839857764270876995
blogger_orig_url: http://www.cybercrimetech.com/2016/10/how-to-forensic-data-acquisition.html
---
In this video we will show external write-blockers and describe how they are used to prevent writing data to suspect devices. We will talk about bottlenecks in the connection and how to make sure your acquisition is as fast as possible.


HADR (High Availability Disaster Recovery) is a Db2 LUW feature for high availability and disaster recovery. It is the preferred solution for HA and DR on Db2. It replicates data in real time from a primary database to one or more standby databases. In case the primary database fails, a standby database takes over as the new primary. Integrated cluster manager can be enabled for automated failover. Reads on standby can be enabled. Multiple standbys are supported since V10.1.
This site is maintained by the Db2 HADR development team. It is information directly from the lab. It is intended for HADR education, knowledge sharing, and product support. It provides valuable advices built up from years of development and support work. You can reach us at:
<EMAIL_ADDRESS>Site Map
Why use HADR? Benefits and feature highlight of HADR.
Feature history: List of new HADR features since original release in Db2 V8.2.
What's new: V10.5: pureScale support. V10.1: Multiple Standby. V97fp1: Reads on standby
HADR Tutorial General tutorial focusing on the base case (single standby, non-pureScale)
HADR multiple standby White paper. Comprehensive writing on multiple standby
HADR on pureScale Tutorial for HADR in pureScale environment.
HADR in IBM PureData System for Transactions White paper specifically for the PureData appliance.
Simplify Db2 HADR with IBM PureApplication System HADR is even easier on pureApplication systems.
HADR best practices Best Practice white paper.
Reads on Standby Reads on Standby tutorial
Step by Step Guide to configure TCP and HADR sync mode for optimal performance.
Db2 Log Scanner scans log files to analyze workload.
HADR commands, Start/stop/takeover HADR, role change, HADR database startup/shutdown
HADR monitoring What to look for in monitor output and db2diag.log.
HADR log shipping How does HADR ship logs? What are the HADR states?
HADR takeover: Role switch, failover, primary reintegration
Automating HADR failover, how to use HADR with cluster managers
Client Reroute, Automatic Client Reroute (ACR) and other reroute methods
db2diag.log What to look for in db2diag.log for HADR.


Comic Con Cape Town ticket prices revealed
by Bradley PriorComic Con Cape Town and Reed Exhibitions Africa have announced that tickets for the Comic Con Cape Town convention will go on sale from Monday 25 November.
From 25 November until Monday 2 December, Comic Con Cape Town single-day general-access passes will be available for a Black Friday week special price of R130, with the first 200 tickets sold being further reduced to R100.
After this period is over, these single-day passes will cost R160, while a three-day pass will cost R450.
Comic Con Cape Town has partnered with Howler to help attendees get their tickets quickly and conveniently.
“If you haven’t got one already, create your Howler account today because come Monday 25 November, every second is going to count if you’re going to be one of the first to get your ticket,” said Reed Exhibitions Africa.
Those who purchase a ticket can also enter a competition where they stand a chance to win a PlayStation 4 by posting a picture on social media using the hashtag #ComicConCPT.
Comic Con Cape Town will be held from 1-3 May 2020 at the Cape Town Stadium in Greenpoint. It will feature comic books, games, celebrities, Cosplay, animation, movies, artists, and other pop culture elements.
On 25 November, tickets will also open for Comic Con Africa, which will be held at Gallagher Convention Centre from 24-27 September 2020.


int strspn ( string $subject , string $mask [, int $start [, int $length ]] )
Finds the length of the initial segment of subject that contains only characters from mask. If start and length are omitted, then all of subject will be examined. If they are included, then the effect will be the same as calling strspn(substr($subject, $start, $length), $mask) (see substr for more information). The line of code:
<?php$var = strspn("42 is the answer to the 128th question.", "1234567890");?
>
will assign 2 to $var, because the string "42" is the initial segment of subject that consists only of characters contained within "1234567890".
Returns the length of the initial segment of subject which consists entirely of characters in mask.


Base Currency
Target Currency
Amount to convert:
Convert
Conversion
Conversion Stats
Base Currency:
Target Currency:
Conversion Rate:


Module glsu.util
Utility functions and tempaltes.
Functions
| Name | Description |
assertNoGLErrors(message, file, line)
|
Asserts there are no active GL error glags.
|
clearGLErrors()
|
Repeatedly calls glGetError , clearing all GL error flags.
|
debugHack(a)
|
Hack to use until compiler bug with relaxed nothrow checks in nothrow context is fixed.
|
errorDescription(e)
|
Description of GLError.
|
isIntegral(type)
|
Checks if GLType is integral.
|
packWith(r, args)
|
Attaches values to a range. Usefull to avoid GC allocation of closure.
|
sizeOfGLType(t)
|
Size of GL privitive type in bytes.
|
Structs
| Name | Description |
GLFW
|
Wraps some functionality of GLFW
|
Templates
| Name | Description |
from
|
Import as expression.
|
unpack
|
Tuple unpacker
|
valueOfGLType
|
Determine GL enum value that corresponds to D type.
|
Manifest constants
| Name | Type | Description |
belongs
|
|
Checks if Ts contains T.
|
ScopedBind
|
|
mixin to bind obj immediately and unbind at scope(exit) .
|
valueOfGLType
|
|
Determine GL enum value that corresponds to D type.
|
Aliases
| Name | Type | Description |
staticIota
|
aliasSeqOf!(iota(begin,end,step))
|
Static iota.
|


-
My PhD. thesis.
-
Publications on ADS.
- Conferences:
- Literature surveys:
- Chaotic neutral - my NN trained on ArXiv’s astro-ph.GA to do literature searches and other fun stuff.
- ArXivSorter
-
Astronomy starter pack (from .Astronomy 11)
-
A comparison of different samplers by mattpitkin
- Visualisation stuff:
-
Explore the relations between distributions.
- Code stuff:
- This.