"Set the default to 'Open'" - Impressions from the OpenCon2014
In November 2014, 150 early-career researchers and students met in Washington D.C. for OpenCon, organized by the Right to Research Coalition, to talk about the movement to open science up - be it through Open Access to published literature, Open Data, or Open Educational Resources. The three day event...
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{% if user.is_staff %}
{% else %}
{% endif %}
{% endblock %}| Title | Released date | Language | Requested by | Status | Accepted by | Actions |
|---|---|---|---|---|---|---|
| {{ request.movietitle }} | {{ request.releasedate }} | {{ request|display_as:'language' }} | {{ request.requestedby }} | {% if not request.accepted and not request.rejected %} Pending {% elif request.accepted %} Accepted {% endif %} | {{ request.acceptedby }} |
{% if not request.accepted and not request.rejected %}
{% elif request.accepted %}
✔
{% endif %}
|
| Title | Released date | Language | Status | Accepted by |
|---|---|---|---|---|
| {{ request.movietitle }} | {{ request.releasedate }} | {{ request|display_as:'language' }} | {% if not request.accepted and not request.rejected %} Pending {% elif request.accepted %} Accepted {% endif %} | {{ request.acceptedby }} |


The Akan naming system was developed by the Ghananians as part of their culture way before the 18th century. Children were given a "day name" which corresponded with the day of the week they were born. The tradition was shared out through-out west Africa and the African Diaspora. Notable figures with Akan names include Ghana's first president Kwame Nkrumah and former United Nations Secretary-General Kofi Annan.


List of public variables that can be used with this class.
| Type |
Names |
Description |
Default |
Access |
| boolean |
buttonIcon |
If this option is set to true it places a buton near the input field, allowing to lunch the datepicker either on focus and when the button is clicked. |
false |
public |
| string |
fontsize |
Set the font size of the widget when it is created. Can be set in any valid measure |
11px |
public |
| boolean |
buttonOnly |
If this option is set to true it places a buton near the input field, disallowing to lunch the datepicker when we focus the input, but allow lunch them only when the button is clicked |
false |
public |


Golang is incredibly powerful. Its standard library has so much to offer, but I think other languages have encouraged the use of external libraries for even the most basic tasks. For example, with JavaScript, most inexperienced developers seem to use jQuery to do simple tasks like selecting an element and replacing its contents. When you and I both know jQuery is way overkill for such a task. See my article on Vanilla JS basics.
I believe that in order to be considered an expert in a language, you must at least be able to demonstrate using the core language to achieve your goal. In our current case, HTTP routing. Now to be clear, I don't think you need to write everything from scratch all the time, but you should have a firm grasp on what is available by the core language, and when you are better suited to use an external library. If you are looking for more advanced HTTP routing, then I would suggest using something like gin.
Enough ranting, let's get to it.
I assume you have basic knowledge of the Go language at this point, so if not, it might be worth searching for some entry level basics first. See A Tour of Go.
The accompanying repo for the code produced in this article is located on github.
Here is our basic folder structure for this basic http routing example:
basic-http-routing-in-golang/
main.go
As a starting point our main.go
file looks like this:
package main
import (
"fmt"
_ "net/http"
)
func main() {
fmt.Println("Hello HTTP")
}
Now starting at a very basic level, we can leverage the http.HandleFunc
method.
It is very simple to use and its signature is easy to understand.
func HandleFunc(pattern string, handler func(ResponseWriter, *Request))
Which basically means, http.HandleFunc("/url", routingFunction)
where routingFunction
looks like this:
func routingFunction(w http.ResponseWriter, req *http.Request) {
fmt.Fprint(w, "Hello HTTP")
}
With fmt.Fprint()
we can pass an http.ResponseWriter
and a message to display. Our browser will now look like this when we visit the /url
endpoint.
Here is what main.go
looks like at this point:
package main
import (
"fmt"
"log"
"net/http"
)
func main() {
http.HandleFunc("/hello", helloHTTP)
log.Fatal(http.ListenAndServe(":8080", nil))
}
func helloHTTP(w http.ResponseWriter, req *http.Request) {
fmt.Fprint(w, "Hello HTTP")
}
Now we could stop there, as this is a "basic" http routing example, but I think it isn't quite useful as an example yet, until we start to see something slightly more practical.
So let's add a NotFound
page when we don't match a pattern in HandleFunc
. It's as simple as:
func notFound(w http.ResponseWriter, req *http.Request) {
http.NotFound(w, req)
}
Here is what main.go
looks like after that:
package main
import (
"fmt"
"log"
"net/http"
)
func main() {
http.HandleFunc("/hello", helloHTTP)
http.HandleFunc("/", notFound)
log.Fatal(http.ListenAndServe(":8080", nil))
}
func helloHTTP(w http.ResponseWriter, req *http.Request) {
fmt.Fprint(w, "Hello HTTP")
}
func notFound(w http.ResponseWriter, req *http.Request) {
http.NotFound(w, req)
}
This will match /hello
and use the HelloHTTP
method to print "Hello HTTP" to the browser. Any other URLs will get caught by the /
pattern and be given the http.NotFound
response to the browser.
So that works, but I think we can go further.
We need to give ourselves something more specific than the simple contrived /hello
endpoint above. So let's assume we are needing to get a user profile. We will use the url /user/:id
where :id
is an identifier used to get the user profile from our persistance layer (i.e. our database).
We'll start by creating a new method for this GET request called userProfile
:
func userProfile(w http.ResponseWriter, req *http.Request) {
userID := req.URL.Path[len("/user/"):]
fmt.Fprintf(w, "User Profile: %q", userID)
}
Notice that we get the URL from the req
variable and we treat the string returned from req.URL.Path
as a byte slice to get everything after the /user/
in the string. Note: this isn't fool proof, /user/10ok
would get matched here, and we would be assigning userID
to "10ok"
.
Let's add this new route in our main
function:
func main() {
http.HandleFunc("/hello", helloHTTP)
http.HandleFunc("/user/", userProfile)
http.HandleFunc("/", notFound)
log.Fatal(http.ListenAndServe(":8080", nil))
}
Note: that this pattern /user/
matches the trailing /
so that a call to /user
in the browser would return a 404 Not Found
.
Ok, so we have introduced some pretty severe holes in the security of our new HTTP router. As mentioned in a note above, treating the req.URL.Path
as a byte slice and just taking the last half is a terrible idea. So let's fix this:
var validPath = regexp.MustCompile("^/(user)/([0-9]+)$")
func getID(w http.ResponseWriter, req *http.Request) (string, error) {
m := validPath.FindStringSubmatch(req.URL.Path)
if m == nil {
http.NotFound(w, req)
return "", errors.New("Invalid ID")
}
return m[2], nil // The ID is the second subexpression.
}
Now we can use this method in our code:
func userProfile(w http.ResponseWriter, req *http.Request) {
userID, err := getID(w, req)
if err != nil {
return
}
fmt.Fprintf(w, "User Profile: %q", userID)
}
For now, I'm calling this "Basic HTTP Routing in Golang" article finished. But I do plan to add more to it as time allows. Additionally, I'd like to create a more advanced article that discusses the ability to respond to not only GET requests, but also POST, PUT, and DELETE HTTP methods. Look for an "Advanced HTTP routing in Golang" article in the future. Thanks for reading this far. I wish you well in your Go endeavors.


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Ultimate javascript tree-data logger.With colors, unicode support and word-wrapping. Typesctipt friendly.


Maureen Anne W
Age 30
Am a mum of one beautiful girl
list of projects done
thekiongo
theblackfox
Education background
currently moringa school
Africa Nazarene - ICT
NIBS - front office
St Xavier -KCSE
Le - pic -Kcpe
IT WAS HECTIC
i love adventure
cooking
i enjoy gospel songs
reading
- game driving is my thing
- I enjoy outing with my family
- Im not a talktive person and am kinda shy


WITNESS LIST
Public Health Committee
April 4, 2019 - 8:00 AM
(SUBCOMMITTEE MEETING - Health Professions)
For:
Keene, Benjamin (Self; TPTA)
Milligan, Mark (Self; Tpta)
Tounget, Craig (Texas Physical Therapy Associatio)
Against:
Mathews, Joseph (Self; Texas Orthopaedic Association)
Stautberg, Eugene (Self; Texas Medical Association and Texas Orthopaedic Association)
Registering, but not testifying:
For:
Bearden, Chase (Self; Coalition of Texans with disabilities)
Caromara, Mary (Self)
Davis, Phillip (Self)
Dunkelberg, Anne (Center for Public Policy Priorities)
Frickey, Jill (Self)
Harris, James (Texas Physical Therapy Associatiom)
Huber, Blaze (Self; The Training Room)
Koebele, Steve (Concentra)
Litzinger, Linda (Self)
Luoma, Courtney (Self)
McBeath, Don (Texas Organization of Rural and Community Hospitals)
McCord, Mia (Texas Conservative Coalition)
Meek, Sarah (Self)
Meek, Sarah (Self)
Miller, Melanie (Self)
Minjarez, Jennifer (Texas Public Policy Foundation)
Neeley, Josiah (R Street Institute)
Shook, Ben (Self; Axiom Physiotherapy)
Su, Linda (Self)
Vilas, Avelina (Self)
Yancy, Justin (Texas Business Leadership Council)
Against:
Ashley, Price (Texas College of Emergency Physicians)
Bruce, Bonnie (Texas Society of Anesthesiologists)
Doan, Ellis (Self)
Finch, Dan (Texas Medical Association)
Hillert, Bobby (Texas Orthopaedic Association)
Kenderdine, Marshall (Texas Academy of Family Physicians)
Reed, Rachael (Texas Ophthalmological Association)
Rezaee, Fatemeh (Self)
Rezaee, Reza (Self)
1
WITNESS LIST
Against:
Rezaee, Ziba (Self)
Sutton, Jill (Texas Osteopathic Medical Association)
Travis, Clayton (Texas Pediatric Society)
For:
Day, Cristi (Texas nurse practitioners)
Pike, Veronica (Texas nurse practitioners)
On:
Buckingham, Nicole (Texas board of nursing)
Majek, Mark (Texas Board of Nursing)
Registering, but not testifying:
For:
Beckmann, Amy (Self; Consortium of Texas Certified Nurse-Midwives)
Biscone, Erin (Self; Consortium of Texas Certified Nurse Midwives)
Cates, Andrew (Nursing Legislative Agenda Coalition)
Compton, Ann (Self)
Cusack, Erin (Texas Nurse Practitioners)
Edwards, Lynnea (Self)
Fountain, Sandra (Self)
Griffith, Idona (Self)
Guy, Linda (Self)
Hansch, Greg (National Alliance on Mental Illness (NAMI) Texas)
Hutson, Blake (AARP Texas)
Kunish, Eric (Self)
Luoma, Courtney (Self)
MacDougal, Vanessa (Self)
Metzger, Robert (Self; Texas Nurse Practitioners)
Mills, Sarah (Texas Association for Home Care and Hospice)
Ostrander, Peggy (Self)
Sheldon, Robert (Self)
Simon, Arthur (Self)
Spees, Jason (Self)
Tran, Tony (Self)
Vunderink, Gregg (Self)
Wilson, Wendy (Consortium of Texas Certified Nurse Midwives)
Wilson, Wendy (APRN Alliance)
Yanas, Christine (Methodist Healthcare Ministries of South Texas , Inc.)
Against:
Carter, Paris (Self)
Doan, Debbie (Self)
Doan, Ellis (Self)
Doan, Mike (Self)
2
WITNESS LIST
Against:
Ghaderi, Payam (Self)
Johnson, Tyce (Self)
Rezaee, Fatemeh (Self)
Rezaee, Reza (Self)
Rezaee, Ziba (Self)
Sunga, Joiesah Marie (Self)
For:
Moore, Bret (Self; Texas Psychological Association)
Paret, Dean (Self; Texas Psychological Association)
Underhill, James (Self)
Against:
Eshelman, Melissa (Self; Federation of Texas Psychiatry)
Registering, but not testifying:
For:
Grothues, PhD, Carol (Self; Texas Psychological Association)
Meek, Sarah (Self)
Meek, Sarah (Self)
Tran, Tony (Self)
Against:
Ashley, Price (Texas College of Emergency Physicians)
Bruce, Bonnie (Texas Society of Anesthesiologists)
Chiarello, Stephanie (Texas Pharmacy Association)
Doan, Debbie (Self)
Doan, Ellis (Self)
Doan, Mike (Self)
Finch, Dan (Texas Medical Association)
Galligher, Duane (Texas Independent Pharmacies Association)
Hillert, Bobby (Texas Orthopaedic Association)
Kenderdine, Marshall (Texas Academy of Family Physicians)
Reed, Rachael (Texas Ophthalmological Association)
Rezaee, Fatemeh (Self)
Rezaee, Reza (Self)
Rezaee, Ziba (Self)
Travis, Clayton (Texas Pediatric Society)
Wright, Michael (Texas Pharmacy Business CounilCil)
On:
Parilla, Priscilla (Texas Health and Human Services Commission)
For:
Feix, Jeff (Self; Texas State Assembly of AST)
3
WITNESS LIST
Registering, but not testifying:
For:
Hillert, Bobby (Texas Orthopaedic Association)
Steele-Galchutt, Stefanie (Self; Texas State Assembly of AST)
Tran, Tony (Self)
For:
Biscone, Erin (Self; Consortium of Texas Certified Nurse Midwives)
Dunkelberg, Anne (Center for Public Policy Priorities)
Harrison, Lutricia (Texas Nurse Practitioners)
Hutson, Blake (AARP Texas)
Innerarity, Sheri (Texas Nurse Practitioners)
Jeffreys, Holly (Self; Texas Nurse Practitioners)
Smith, Mary Pat (Self; Texas Silver-Haired Legislature)
Waldman,MD MBA, Dr. Deane (Texas public policy foundation)
Against:
Aronin, Patricia (Self; Texas Physicians for Patients and Texas Physicians for Patient
Protection)
Botsford MD, Lindsay (Self; Texas Medical Association and Texas Academy of Family
Physicians)
Doan, Ellis (Self)
Doan, Ellis (Self)
Grieger MD, Dara (Self; Texas Medical Association)
Mensing-Pereira, Angela (Self)
Rezaee, Ziba (Self)
Rezaee, Ziba (PPP physicians for patient protection)
Registering, but not testifying:
For:
Beckmann, Amy (Self; Consortium of Texas Certified Nurse-Midwives)
Borel, Dennis (Coalition of Texans with Disabilities)
Boston, Jessica (Texas Association of Business)
Brozek, Vaughn (Self; Np. Dc)
Cates, Andrew (Nursing Legislative Agenda Coalition)
Collins, Rebecca (Self)
Compton, Ann (Self)
Cusack, Erin (Texas Nurse Practitioners)
Edwards, Lynnea (Self)
Guy, Linda (Self)
Hansch, Greg (National Alliance on Mental Illness (NAMI) Texas)
Houston, Joshua (Texas Impact)
Kunish, Eric (Self; National Alliance on Mental Illness, Austin Affiliate, Advocacy Chair)
Lara, Rene (Texas AFL-CIO)
Lavin, Dianne (Self; PAPN Texas)
4
WITNESS LIST
For:
Luoma, Courtney (Self)
McCord, Mia (Texas Conservative Coalition)
Metzger, Robert (Self; Texas Nurse Practitioners)
Meyer, Alyse (LeadingAge Texas)
Mills, Sarah (Texas Association for Home Care and Hospice)
Ostrander, George (Self)
Ostrander, Peggy (Self)
Panju, Arif (Institute for Justice)
Peters, Carol (Texas silver haired legislature)
Propes, Jay (Texas Ophthalmological Association)
Schulte, Christina (Self)
Smith, Andrew (University Health System)
Spees, Jason (Self)
Stasiak, Dan (Self)
Sughrue, Alissa (National Alliance on Mental Illness (NAMI) Texas)
Tran, Tony (Self)
Vunderink, Gregg (Self)
Wilson, Wendy (Consortium of Texas Certified Nurse Midwives)
Wilson, Wendy (APRN Alliance)
Yanas, Christine (Methodist Healthcare Ministries of South Texas , Inc.)
Zolnierek, Cindy (Self; Texas nurses association)
Against:
Abbott, Nicole (Texas Chapter of the American College of Physicians Services)
Alper, Samantha (Self)
Ashley, Price (Texas College of Emergency Physicians)
Bruce, Bonnie (Texas Society of Anesthesiologists)
Carter, Paris (Self)
Courtney, Jenna (Texas Society of Pathologists)
Courtney, Jenna (Texas Radiological Society)
Doan, Debbie (Self)
Doan, Mike (Self)
Dunn, Cassandra (Self)
Eshelman, Melissa (Self; Federation of Texas Psychiatry)
Flores, Nicole (Self)
Ghaderi, Payam (Self)
Gray, Brijette (Self)
Hillert, Bobby (Texas Orthopaedic Association)
Johnson, Tyce (Self)
Kenderdine, Marshall (Texas Academy of Family Physicians)
Kenderdine, Marshall (Texas Society for Gastroenterology & Endoscopy)
Nicolas, George (Self)
Reed, Rachael (Texas Ophthalmological Association)
Rezaee, Fatemeh (Self)
Rezaee, Reza (Self)
5
WITNESS LIST
Against:
Sunga, Joiesah Marie (Self)
Sutton, Jill (Texas Osteopathic Medical Association)
Travis, Clayton (Texas Pediatric Society)
For:
Bock, Janessa (Self; Texas Dental Hygienists’ Association)
Cook, Daniel (Self)
Liberman, Leila (Self)
Reeves, David (Self)
Against:
Roberts, Matt (Texas Dental Association)
Registering, but not testifying:
For:
Bean, Lynda (Self)
Gridda, Mundir (Self)
Litzinger, Linda (Self)
Massey, Douglas (Self)
McCord, Mia (Texas Conservative Coalition)
Nguyen, Jullie (Self)
Ray, Sandy (Self)
Schulte, Christina (Self)
Smith, Annette (Self)
Strecker, Barbara (Self)
Tesch, Sandy (Texas oral health coalition)
Tran, Tony (Self)
Valdez, Jerry (Career Colleges & Schools of Texas)
Williams, Carolyn (Self)
Yanas, Christine (Methodist Healthcare Ministries of South Texas , Inc.)
Against:
Alper, Samantha (Self)
Bruce, Bonnie (Texas Society of Anesthesiologists)
Ekeoduru, Rhashedah (Self)
Hausenfluck, Amber (Texas Academy of Pediatric Dentistry)
McAlister, Jana (Self)
McHorse, Paul (Self)
Nicolas, George (Self)
Scott, Bruce (Texas Society of Oral and Maxillofacial Surgeons)
Wegner, Robert (Self)
On:
Bush, W. Boyd (Texas State Board of Dental Examiners)
Davila, Enrique (Self)
6
WITNESS LIST
For:
Foster, Stephen (Self; Texas Chiropractic College)
Harris, Paul (Self)
Morgan, William (Self; ParkerUniversity)
Pettiet, Devin (Self; Texas chiropractic assoc)
Registering, but not testifying:
For:
Alexander, Landry (Self)
Andrade, Michelle (Self)
Andrade, Mike (Self)
Ashley, Tonya (Self)
Boerger, Angela (Self)
Boerger, Jeff (Self)
Bouvier, William (Self)
Brown, Jeffrey (Self)
Brozek, Vaughn (Self; Np. Dc)
Carter, Greg (Self; Texas Chiropractic Association)
Casasola, Dwayne (Self)
Cline, Brooke (Self)
Collins, Rebecca (Self)
Craig, Clayton (Self)
Cunningham DC, Jeff (Self; TCA)
Davila, Enrique (Self)
Davis, Richard (Self)
Day Goodwin, Allie (Self)
Doan, Vinh (Self)
Dominguez, Maria (Self)
Doyle, Cody (Self)
Eledge, Richeon (Self)
Eledge, Stephen (Self)
Ellis, Keven (Self)
Ellis, Shelli (Self)
Gardner, Jennifer (Self)
Gravely, Janrai (Self)
Hardy, Richard (Accident & Injury Chiropractic Inc)
Harris, Caitlyn (Self)
Heikkinen, Paul (Self; Texas Chiropractic Association)
Henry, Michael (Self; TBCE)
Hergert, Tyce (Self; Texas Chiropractic Assn)
Hochanadel II, Gery (Self; Parker University)
Hollingsworth, Thomas (Self)
Hurtig, Trevor (Self)
Isdale, Scott (Self)
7
WITNESS LIST
For:
Jackson, Sheneaka (Self)
Jahadi, Mo (Self; TCA)
Jenkins, Jeff (Self; Texas Chiropractic Association)
Jurica, Scott (Self)
Kanz, Kevin (Self; Texas Chiropractic Association)
Kirkwood, Shannon (Self; TCA)
Kissel, Elena (Parker University)
Knorr, Robert (Self)
Knott, Michael (Self)
Lawson, William (Self)
Lolis, Iperlitta (Self)
Lynch, Laura (Self)
Maddalena, Larry (Self)
Mcdonnell, Patrick (Self)
Melling, Marla (Self)
Minors, Steve (Self)
Mirkov, Brittney (Self)
Morgan, Casey (Self; DC)
Morgan, Vanessa (Self)
Mounarath, Vandara (Self; Enlighten Chiropractic and Acupuncture)
Mount, Alaina (Self)
Norbert, Jeannique (Self)
Pagnani-Gendron, Alayna (Self; Texas Chiropractic Association)
Pajestka, Samantha (Self)
Patzer, Kellye (Self)
Perry, Dennis (Self; Health by Hands Wellness)
Perry, Kathleen (Self; Health By Hands)
Pham, Tran (Self)
Ply, Wesley (Self)
Rose, Kelsey (Self)
Rose, Korey (Self)
Schmidt, Rodney (Self)
Shannan, Mark (Self)
Shem, Matthew (Self)
Shrogin, Paul (Self)
Stasiak, Dan (Self)
Stephens, Angela (Self)
Surprenant, Kyle (Self)
Swanson, Jeff (Self)
Swanson, Justin (Self)
Sweney, Roxanne (Self)
Tays, Cynthia (Self)
Vandewalle, Mike (Self)
Vige, Max (Self)
Weaver, Lou (Self)
8
WITNESS LIST
For:
Wei, Joshua (Self)
White, Kenneth (Self)
White DC, Don (Self; Texas Chiropractic Association)
Williams, Jason (Self)
Against:
Ashley, Price (Texas College of Emergency Physicians)
Bower, Danielle (Self)
Doggett, Wally (Texas Association of Acupuncture and Oriental Medicine)
Finch, Dan (Texas Medical Association)
Hillert, Bobby (Texas Orthopaedic Association)
Kenderdine, Marshall (Texas Academy of Family Physicians)
Reed, Rachael (Texas Ophthalmological Association)
Rittenberry, Suzanne (Self)
Schneider, Jennifer (Self)
Stephens, Anthony (Self)
Strosser, Pamela (Self)
Travis, Clayton (Texas Pediatric Society)
Ybarra (Self)
On:
Burnett, Christopher (Texas board of chiropractic examiners)
Fortner, G. Patrick (Texas Board of Chiropractic Examiners)
Walters, Abigail (Self)
For:
Abadie, Paul (Self)
Butler, Chris (Self)
Doggett, Wally (Texas Association of Acupuncture and Oriental Medicine)
Faria, Mary (Self; AOMA graduate school of integrative medicine)
Liang, Shen (Self; American college of acupuncture & oriental medicine)
Lin, Lisa ping hui (Texas association of acupuncturists Texas health and science university)
Lyles, Tonya (Self)
Manuel, Victor (Self)
Against:
Carter, Greg (Self; Texas Chiropractic Association)
Heikkinen, Paul (Self; Texas Chiropractic Association)
Hergert, Tyce (Self; Texas Chiropractic Assn)
Kanz, Kevin (Self; Texas Chiropractic Association)
Pagnani-Gendron, Alayna (Self; Texas Chiropractic Association)
Vige, Max (Tca)
On:
Burnett, Christopher (Texas board of chiropractic examiners)
Cline, Allen (Texas Acupuncture Board)
9
WITNESS LIST
Registering, but not testifying:
For:
Andert, Denise (Self)
Balanay-Tahkine, Daniel (Self)
Barden Rossetti, Audrey (Self)
Beattie, Zach (Self)
Bower, Danielle (Self)
Bravo, Valorie (Self)
Brown, Rachel (Self; Five Oceans Acupuncture TAOMA)
Brozek, Vaughn (Self; Np.  NCCAOM.)
Rusnak, Kasia (Self)
Schneider, Jennifer (Self)
Schurtz, Allyson (Self)
Scott, Tracy (Self)
Seals, Nicole (Self)
Sears, Estella (Self; AOMA Graduate School of Integrative Medicine)
Shaffer, Susan (Self)
Shea, Katherine (Self)
Skorka, Sierra (Self)
Spees, Jason (Self)
Stanley, Diane (Self)
Strosser, Pamela (Self)
Taylor, Bryan (Self)
Taylor, Reagan (Self)
Tennison, Emily (Self)
Tran, Tony (Self)
Tripptree, Megan (Self)
Voyles, Claudia (Self)
Walters, Abigail (Self)
Wang, Guoen (Self)
Wang, Janice (Self)
11
WITNESS LIST
For:
Wilder Flatt, Lindsey (Self)
Ybarra (Opooooohgftt6)
Yen, Jimmy (Self)
Young, Donna (Self)
Zamarripa, Denise (Self)
Zaragoza, Jesus (Self)
Zaragoza, Raul (Self)
Zhang, Xu (Self)
Against:
Alexander, Landry (Self)
Andrade, Michelle (Self)
Andrade, Mike (Self)
Ashley, Tonya (Self)
Boerger, Angela (Self)
Boerger, Jeff (Self)
Bouvier, William (Self)
Brown, Jeffrey (Self)
Casasola, Dwayne (Self)
Cline, Brooke (Self)
Collins, Rebecca (Self)
Craig, Clayton (Self)
Cunningham DC, Jeff (Self; TCA)
Davila, Enrique (Self)
Davis, Phillip (Self)
Davis, Richard (Self)
Day Goodwin, Allie (Self)
Doan, Vinh (Self)
Dominguez, Maria (Self)
Doyle, Cody (Self)
Eledge, Richeon (Self)
Eledge, Stephen (Self)
Ellis, Keven (Self)
Ellis, Shelli (Self)
Gardner, Jennifer (Self)
Harris, Caitlyn (Self)
Henry, Michael (Self)
Hochanadel II, Gery (Self; Parker University)
Hollingsworth, Thomas (Self)
Hurtig, Trevor (Self)
Isdale, Scott (Self)
Jackson, Sheneaka (Self)
Jahadi, Mo (Self; TCA)
Jenkins, Jeff (Self; Texas Chiropractic Association)
Jurica, Scott (Self)
12
WITNESS LIST
Against:
Kirkwood, Shannon (Self; TCA)
Kissel, Elena (Parker University)
Knorr, Robert (Self)
Knott, Michael (Self)
Lawson, William (Self)
Lolis, Iperlitta (Self)
Lynch, Laura (Self)
M, S (Self; DC)
Maddalena, Larry (Self)
Mcdonnell, Patrick (Self)
Melling, Marla (Self)
Mirkov, Brittney (Self)
Morgan, Casey (Self; DC)
Morgan, Vanessa (Self)
Morgan, William (Parker University)
Mounarath, Vandara (Self; Enlighten Chiropractic and Acupuncture)
Mount, Alaina (Self)
Norbert, Jeannique (Self)
Pajestka, Samantha (Self)
Patzer, Kellye (Self)
Perry, Kathleen (Self; Health By Hands)
Pettiet, Devin (Self; Texas chiropractic assoc)
Pham, Tran (Self)
Richardson, Dawn (Self)
Rose, Kelsey (Self)
Rose, Korey (Self)
Schmidt, Rodney (Self)
Shannan, Mark (Self)
Shem, Matthew (Self)
Shrogin, Paul (Self)
Stasiak, Dan (Self)
Stephens, Angela (Self)
Stephens, Anthony (Self)
Swanson, Jeff (Self)
Swanson, Justin (Self)
Sweney, Roxanne (Self)
Tays, Cynthia (Self)
Vandewalle, Mike (Self)
Weaver, Lou (Self)
Wei, Joshua (Self)
White, Kenneth (Self)
White DC, Don (Self; Texas Chiropractic Association)
Williams, Jason (Self)
13
WITNESS LIST
On:
Carlton, Stephen (Texas Medical Board)
Fortner, G. Patrick (Texas Board of Chiropractic Examiners)
For:
Hardin-Oliver, Carole (National association of chain drug stores and Walgreens)
Against:
Raimer, Ben (Self; Texas Pediatric Society, Texas Medical Association, Texas Academy of
Family Physicians)
Richardson, Dawn (National Vaccine Information Center, and PROVE)
Registering, but not testifying:
For:
Chiarello, Stephanie (Texas Pharmacy Association)
Galligher, Duane (Texas Independent Pharmacies Association)
Horne, Allen (CVS Health)
Kralj, Nicole (National Association of Chain Drug Stores)
Shields, Bradford (Texas Federation of Drug Stores)
Shields, Bradford (Texas Society of Health System Pharmacists)
Tran, Tony (Self)
Vane, Mark (Walmart)
Wright, Michael (Texas Pharmacy Business Council)
Against:
Bruce, Bonnie (Texas Society of Anesthesiologists)
Doan, Ellis (Self)
Doan, Mike (Self)
Finch, Dan (Texas Medical Association)
Hillert, Bobby (Texas Orthopaedic Association)
Kenderdine, Marshall (Texas Academy of Family Physicians)
Reed, Rachael (Texas Ophthalmological Association)
Rezaee, Fatemeh (Self)
Rezaee, Reza (Self)
Rezaee, Ziba (Self)
Sutton, Jill (Texas Osteopathic Medical Association)
For:
Hoang, Stephen (Texas Society of Anesthesiologists)
Krueger, Tasha (Self)
McHorse, Paul (Self; Texas Academy of Anesthesiologist Assistants)
Wegner, Robert (Texas Society of Anesthesiologists)
Against:
Boss, Scott (Self; Tx Assoc of nurse anesthetists)
Collins, Gregory (Self; TxANA)
14
WITNESS LIST
Against:
Dunlap, Eddie (Self)
Fluhman, Julie (Self)
Goettle, Brooks (Self)
Hukill, Susan (Self)
Limmer-Riola, Melissa (Self)
Nakajima, Scarlett (Self)
OConnor, Sara (Self)
Reidy, Cathy (Self)
Sanders, Kay (Self)
Sweeney, Breanna (Self)
Tydlaska, Jay (Self)
White, Linda (Self)
Registering, but not testifying:
For:
Alper, Samantha (Self)
Boutte, Meryl (Self)
Brown, Rachel (Self; Five Oceans Acupuncture TAOMA)
Bruce, Bonnie (Texas Society of Anesthesiologists)
Camel, Brandon (Self)
Capelo, Jaime (Texas Society of Anesthesiologists)
Carter, Paris (Anesthesiologist Assistants)
Courtney, Jenna (Texas Radiological Society)
Doan, Hung (Self; Texas Acupuncture Association Oriental Medicine TAAOM)
Dow, Jim (Texas Academy of Anesthesiologists Assistants)
Dunn, Cassandra (Self)
Fernandes, Merryl (Self; Taaom)
Finch, Dan (Texas Medical Association)
Ghaderi, Payam (Self)
Gray, Brijette (Self)
Hall, Tedra (Self)
Harris, Spencer (Self)
Haskins, Brian (Self)
Hillert, Bobby (Texas Orthopaedic Association)
Hsu, Richard (Self)
Humphries, Adrianne (Self)
Johnson, Tyce (Self)
Lara, Jose (Self)
Martis, Reecha (Self)
McAlister, Jana (Self)
McHorse, Kay (Self)
McHorse, Tom (Self)
Mutezo, Mwai (Self)
Nguyen, Thao (Self)
15
WITNESS LIST
For:
Nicolas, George (Self)
Patel, Amy (Self)
Reed, Rachael (Texas Ophthalmological Association)
Roush, Chloe (Self)
Rowland, Jeffrey (Self)
Runnels, Jonathan (Self)
Sloan, Kelly (Self)
Stryker, Stephanie (Self)
Sunga, Joiesah Marie (Self)
Tran, Vinh (Self)
Trinh, Phelan (Self)
Tsai, Annabelle (Self)
Vo, Michael (Self)
White, David (Baylor, Scott, & White Health)
Against:
Al Sayyah, Hussain (Self)
Al Sayyah, Hussain (Self)
Beckmann, Amy (Self; Consortium of Texas Certified Nurse-Midwives)
Biscone, Erin (Self; Consortium of Texas Certified Nurse Midwives)
Bragonje, Michael (Self)
Byrne, Christy (Self)
Cates, Andrew (Nursing Legislative Agenda Coalition)
Clymer, Kathleen (Self)
Covey, Richard (Self; Txana)
Critchley, Emily (Self; Txana)
Daniel, Alaina (Self)
De La Cruz, Jo Ray (Self)
Ferguson, Megan (Self)
Fluhman, Chad (Self)
Forrester, Amy (Self)
Gabaldon, Dion (Self)
Gridda, Mundir (Self)
Haschke, Brian (Self)
Henning, Shane (Self)
Hinds, Amelia (Self)
Hoelscher, Sean (Self)
Lauterbach, Heather (Self)
Lepkowski, Lindsay (Self)
Lewellen, Dawn (Self)
Luoma, Courtney (Self)
Magruder, Dana (Self)
Marsden, Ryan (Self)
Massey, Douglas (Self)
McCallum, Karen (Self)
16
WITNESS LIST
Against:
Oshoba, Oluwatosin (Self)
Reber, Daniel (Self)
Rodgers, Janice (Self)
Rutz, Theresa (Self)
Seemann, Zamantha (Self)
Sherrod, Robyn (Self)
Stinnett, Samantha (Texas Association of Nurse Anesthetists)
Swanson, Dana (Self)
Thetford, Caitlin (Self)
Tran, Tony (Self)
White, Joanna (Self)
Williams, Justin (Self)
Wilson, Wendy (Consortium of Texas Certified Nurse Midwives)
Wilson, Wendy (APRN Alliance)
On:
Carlton, Stephen (Texas Medical Board)
For:
Bowes, Harrison (Self)
Kumar, Sanjiv (Self; Texas ophthalmological Association)
Schwab, Andrea (Self; Texas Ophthalmological Association)
Registering, but not testifying:
For:
Bruce, Bonnie (Texas Society of Anesthesiologists)
Doan, Debbie (Self)
Doan, Ellis (Self)
Doan, Mike (Self)
Finch, Dan (Texas Medical Association)
Hillert, Bobby (Texas Orthopaedic Association)
Kenderdine, Marshall (Texas Academy of Family Physicians)
Propes, Jay (Texas Ophthalmological Association)
Reed, Rachael (Texas Ophthalmological Association)
Rezaee, Fatemeh (Self)
Rezaee, Reza (Self)
Rezaee, Ziba (Self)
Sutton, Jill (Texas Osteopathic Medical Association)
Tran, Tony (Self)
Against:
Deakins, Jennifer (Self; Texas Optometric Association)
For:
Ferrer, Jorge (Self; American Surgical Professionals)
17
WITNESS LIST
For:
Gillory, David (Self)
Macris, Michael (Self)
Registering, but not testifying:
For:
Brown, Rachel (Self; Five Oceans Acupuncture TAOMA)
Feix, Jeff (Self)
Kamm, Bob (Association of Surgical Assistants)
Kamm, Bob (National Surgical Assistant Association)
Steele-Galchutt, Stefanie (Self; Texas State Asssembly of the Association of Surgical
Technologists)
Tran, Tony (Self)
Against:
Finch, Dan (Texas Medical Association)
On:
Carlton, Stephen (Texas Medical Board)
18


The assessment of behavior patterns, personality characteristics and theoretical orientations for Master's level counseling students
by Ronald E. Hawkins Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Education in
Counselor Education
APPROVED: David E. Hutchins, Clinton Browne " Chairman “Hi Lay Getz Mérilyn Lichtman
Carl McbDaniels
May 1988
Blacksburg, Virginia


Real-Time Earthquake Data
Updated every minute
Data Source:
USGS
01
HOUR
All Earthquakes
24
HOURS
All Earthquakes
07
DAYS
4.5+ Earthquakes
Overview


Single-page, responsive application built with Knockout.js framework and localStorage, and hosted on GitHub Pages.
Developed a full-page map that loads recommended venue list of places in San Francisco, CA.
Added features for searching a new place with a keyword, applying real-time filter the list items (retrieved by AJAX request to Foursquare API), and displaying the information about San Francisco from Wikipedia (via MediaWiki API).
Read existing source code and wrote comprehensive unit tests for the existing features using Jasmine testing framework, for an RSS Feed Reader application that uses Google's RSS API.
Wrote test cases for features that are going to be added in the future to demonstrate TDD.


Trader Vladimir:
Oh, my! A customer! Come this way!
Times are chaotic, and you must prepare yourself accordingly. The equipment we sell is only of the best quality and purest materials. Would I lie to you?
Buy/Sell/Refund.
Ask about the local lord and tax rate.
Quest


TRIVIA RACER
Players Online:
0
Choose your nickname
Confirm
Name change successful!
Name already in use.
Disconnection
×
A player has disconnected.

Correct answers to win:
-
+
Player
Ready
Color
10
A
B
C
D


Strat Tracking
Dashboard
Track To Your
Dream Body
Add Your Exercise
Exercise Type:
Select Exercise Type
Resistance
Cardio
Name:
Distance (miles):
Duration (minutes):
Exercise Name:
Weight (lbs):
Sets:
Reps:
Duration (minutes):
Complete
Add Exercise
Workout Added Successfully!


Returns a set of people that match the search query.
# Request
The request takes the following GET parameters:
q | | The search query.
limit | | The maximum number of results to be returned. If omitted,
reverts to an implementation-defined default value.
# Response
Always `200 OK`: this is a [read-only](/concepts/read-only.htm) endpoint.
The response contains a single field:
list | array | A list of [short profiles](/people/person.htm) matching the
query, in order of decreasing relevance.
# Examples
GET /db/0SNQc00211H/people/search?limit=3&q=vic
200 OK
Content-Type: application/json
{ "list" : [
{ "id" : "0SNQg00511H",
"label" : "Victor Nicollet",
"gender" : "M",
"pic" : "https://www.gravatar.com/avatar/5a31b00f649489a9a24d3dc3e8b28060" } ] }
# Errors
## Returns `401 Unauthorized`
- if the provided token does not allow acting as `{as}`
## Returns `403 Forbidden`
- if `{as}` is not a database administrator
## Returns `404 Not Found`
- if database `{db}` does not exist
# Access restrictions
Only [database administrators](/groups/admin.htm) may search for
people by name.


Open apt.conf
file with preferred editor:
nano /etc/apt/apt.confAnd add a new line with the proxy settings (or update if the line is already present):
Acquire::http::Proxy "http://user:password@server:port/";
stat /etc/apt/apt.conf chmod 640 /etc/apt/apt.conf


The Ninth Gate Directed by: Roman Polanski Starring: Johnny Depp, Frank Langella, Lena Olin, Emmanuelle Seigner, Barbara Jefford Running time: 132 minutes My rating (5 star scale): ***
Corso (Depp) is an unscrupulous dealer in rare books, hired by Balkan (Langella) to track down the remaining two copies of The Nine Gates of the Kingdom of the Shadows. Balkan owns the third copy but believes two of the books are fakes. He wants Corso to compare them. First Corso visits the widow (Olin) of the former owner of Balkan's copy - a man who commits suicide after giving up the book. And things start getting complicated.
Corso doesn't trust Balkan, who may be following him. He's definitely being followed by a mysterious woman (Seigner), who seems to have supernatural powers. And people keep turning up dead. Meanwhile the not so grieving widow seems to be lurking in the background. And Corso is beginning to wonder whether the legend of the book, that its coauthor was Satan, is true. And he begins to fear what will happen when his mission is completed.
Polanski likes making movies about morally ambiguous people who find themselves slowly drawn into evil. So slowly, that it becomes difficult to determine exactly when the irreversible step was taken. Characters like that can be seen in films like Chinatown, Death and the Maiden, and Macbeth. Corso is one of those characters. No one would mistake him for a saint, he begins the film by cheating a family on the value of a rare book, but he does have some morals. He says he loves money, but at times he is willing to give up the chance at big money just to get out of this macabre deal he has struck. But something keeps pulling him back. Curiosity, lust, the desire for revenge, maybe even fear - there's always something.
Depp is excellent, always stopping just this side of the brink of parody. Langella and Olin are both suitably mysterious and frightening. Seigner gives a surprisingly strong performance. The direction is reasonable (weak for Polanski). A few scenes, like the opening sequence and the titles stand out. But compared to most horror films, this is brilliant stuff. Unfortunately, the story is the weak point. While the characters are interesting, the story verges on dull. Not much happens and nothing is resolved. I don't need to be spoon fed a resolution, but this film doesn't even give you any decent hints.
I paid full price for this film and didn't feel cheated. Horror fans (and fans of Depp or Polanski) will find it well worth the price. For the rest of you, wait for the video.
-- Allan Jenoff Check out my web page at http://www3.sympatico.ca/jenoff/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Play with Keyboard
Playing with a Keyboard is the easiest to set up but if you want the real deal then try using a Physical Nintendo 64 Controller.
Arrow Keys = Move
X Key = Jump, Read Dialouge, Select Option
C Key = Grab, Throw, Punch
W, A, S, D = Camera Controls
Spacebar = Crouch, Crawl, Ground Pound
Enter = Pause, Start
Play with Physical Nintendo 64 Controller


The Green Mile (1999) Reviewed by Eugene Novikov http://www.ultimate-movie.com/ Member: Online Film Critics Society
Starring Tom Hanks, David Morse, Harry Dean Stanton, James Cromwell, Doug Hutchinson, Sam Rockwell. Directed by Frank Darabont. Rated R.
The infamous Last Mile is chockful of the supernatural and metaphysical in The Green Mile, a gem from Stephen King and The Shawshank Redemption director Frank Darabont. At three hours and eight minutes, your bladder may punish you, but this is one lumberer worth enduring. Hell, it's a pleasure through and through and one of the year's most powerful films. Despite its imperfections, I will not forget The Green Mile for a long time.
The story is told in flashback by an elderly Paul Edgecomb in a nursing home. He tells his wife about the summer of 1935 when he (played by Tom Hanks then) was a prison guard in charge of death row inmates. Edgecomb's domain was called "The Green Mile" -- like the traditional "Last Mile" except that the floor was the color of faded limes. The hands-down star of the cellblock was "Ol' Sparky," the electric chair, sitting peacefully, waiting for its next victim.
One day, a new inmate arrives.  Coffey immediately shows himself to be a "gentle giant," of sorts, keeping to himself and crying on occasion. Soon enough, though, Coffey reveals his extraordinary healing powers by healing Paul's bladder infection and bringing a mouse back from the dead.
Doug Hutchinson, having oodles of fun, plays Percy, a vicious, sadistic guard who takes pleasure in injuring inmates, causes everyone else in the cellblock trouble and "knows people," preventing Paul or anybody else to do anything significant about his deviant behavior. What Percy wants is to be put "up front" for an execution; then, he promises, he will transfer himself to another government job and Paul will never hear from him again.
This doesn't sound like much of a plot and that's because it's not a plot: it's a situation. That's what makes The Green Mile sorta unique: it doesn't take us through a linear storyline; rather, it sets up a situation and observes as the characters move through it. And these are remarkable characters, some of the richest of the year. Hanks's Paul Edgecomb is fascinating and three-dimensional, a man with an understated, deeply personal crisis. Percy isn't much in terms of depth, but he's very fun to watch and even more fun to hate. The most engaging character in the film is Michael Clarke Duncan's John Coffey. Duncan deserves an Oscar nomination (though he in all likelyhood won't get it) for his performance which is genuinely touching and often devastating.
 There's no denying that The Green Mile is slow and yet it's surprisingly involving. Moments where essentially nothing is going on manage to be riveting; the more emotional scenes have unparalelled impact. Making a movie this long, this passive and this unrelentingly interesting is no small feat. It's a feat deserving of little gold men.
If there is one flaw here, and a reason I can't give the movie a flat "A", it's King's/Darabont's insistence on ramming hokey Christ imagery down our throat. The Christ metaphor is such a staple in "thoughtful" filmmaking that it seems hackneyed when employed. The Green Mile's otherwise extraordinarily powerful ending is hampered by it because we are forced to make an outside connection, an act that takes us partially out of the otherwordly experience this film provides.
Despite abominations by high-brow literary types, Stephen King is a very insightful author with a remarkable window into human nature. He makes keen observations, allowing his readers to tap into the human part of his stories, no matter how far-fetched they got in their horror aspects. This gets translated on celluloid when the films are done right. This one is more than right.
Grade: A-
©1999 Eugene Novikov
Sent via Deja.com http://www.deja.com/ Before you buy.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Céline Dion weighs in on whether Jack could have fit on that 'Titanic' door
by Rachel KrausIt's been 22 years since the world watched Rose survive the Titanic by holing up on a floating door. But our hearts have gone on for Jack, who surely could have lived, too, if Rose had just scooted over.
"Jack could have fit on that door" truthers on the internet still regularly bang the drum that a near-death Rose could have saved her steerage-class lover if she'd just made a little room on her makeshift floatation device, a door.
Now, Céline Dion, the woman who gave voice to the Titanic theme song "My Heart Will Go On," is joining the fray.
Looking fab in a poofy one-shouldered gold lamé situation, Dion delivers a feminist close reading of a still from the movie that depicts Rose on the door and Jack floating in freezing water.
"He doesn't need an invitation," Dion says, looking coldly to camera. "Come on, baby."
Watch the whole video for her full read of the situation. Finally, the queen has spoken.


I'd like to explain that I have only ever smoked pot and drank on occasion prior to these experiences. I also suffer from bouts of horrible depression.
The first experience I had with this drug was with a bottle of pills I found in the cupboard one Friday night labeled Oxycocet. My first impression was to believe they were Tylenol 3's because of the warning that they would cause drowsiness and were used every 2-4 hours for pain. I promptly took four of the little white tablets inside labeled TEC; at this point I didn't care about what the dose was; I figured the pills I was taking would either kill me or make me too numb to feel anything for at least a couple of hours. Even then I think I understood how dangerous and reckless narcotics were when taken to ease depression, however at this point I simply didn't care.
I then sat down to watch TV and after about thirty minutes I started to feel lightheaded and understood less and less. Lights were distorted, seeming brighter than they should and shadows were horribly dark; the lack of middle ground those who suffer from migraines would understand. My mum was trying to get me to try different things she had learned from yoga and normally I excel at these poses, having been a gymnast for years and years. However, I had no balance and hardly any concentration.
It was about this point that I began to feel nauseous. My stomach felt horribly upset, yet it also felt acidic, like a bad hangover mixed with terrible heartburn. The only way I could avoid this feeling was to be laying completely still on my bed, starring at the ceiling. The moment I moved, I was certain that I would vomit. During this time, I felt next to nothing, aside from deep, dark apathy; I simply didn't care about anything. My body was heavy and the effort it took to lift a limb was unbearable. Finally, the drug wore into a very, very deep sleep.
I've taken the same drug on the same dosage on other nights, once mixed with alcohol, once at school and several other times when I simply gave up on dealing with the world. I found that I would almost be asleep for a few moments; space out for what seems like an eternity to look at a clock and realize it was only a few minutes.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Backgammon is one of the oldest board games for two players. The playing pieces are moved
according to the roll of
dice, and a player wins by removing all of their pieces from the board before their opponent. Backgammon is a member
of the tables family, one of the oldest classes of board games in the world.
        Backgammon involves a combination of strategy and luck (from rolling dice). While the dice
may determine the outcome
of a single game, over a series of many games, the better player will accumulate the better record. Thus, records of
matches between players are good indicators of relative skill. With each roll of the dice, players must choose from
numerous options for moving their checkers and anticipate possible counter-moves by the opponent. In variants that
originate from early 20th century New York, players may raise the stakes during the game. There is an established
repertoire of common tactics and occurrences.


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PDF Word Counter
View the GitHub project here or download the latest release here.
Overview
Written By: mrk
This script adds custom metadata fields for “Word Count” and “Words Per Page” to searchable PDFs.
Getting Started
Setup
Begin by downloading the latest release of this code. Extract the contents of the archive into your Nuix scripts directory. In Windows the script directory is likely going to be either of the following:
-
%appdata%\Nuix\Scripts
- User level script directory -
%programdata%\Nuix\Scripts
- System level script directory
Usage
Before running the script you will need to have a case open in Nuix.
The script counts the number of words in an item's text, and creates custom metadata fields for “Word Count” and “Words Per Page”.
Options
The script's options are in count_words.rb and include: -
query:
the search query for the items to process. (Default is
searchable PDFs, i.e. mime-type:application/pdf AND
content:*'
) - handleExcluded:
if exclusions should
be considered. (i.e. AND has-exclusion:0
) -
recalculate:
if custom metadata values should be recalculated
for items that already have the field.
Word Count
The custom metadata for “Word Count” is calculated by taking the item's
text string, converting non-alphabet characters to space, and splitting on
whitespace (i.e. String.gsub(/[^-a-zA-Z]/, '
').split.size
). This works because string.split
splits on whitespace with leading whitespace and runs of contiguous
whitespace characters ignored.
Search Examples: - Less than 20 words:
integer-custom-metadata-exact:"Word Count":[0 TO 20}
- Between 20 and 40 words: integer-custom-metadata-exact:"Word
Count":[20 TO 40]
- Over 100 words:
integer-custom-metadata-exact:"Word Count":{100 TO
*]
Words Per Page
The custom metadata for “Words Per Page” is a float, dividing the word count by the number of pages. The number of pages is determined by the metadata property “Page Count” (or 1 if the property is nil).
Search Examples: - Less than 1 word per page:
float-custom-metadata-exact:"Words Per Page":[0 TO
1}
- At least 5.5 words per page:
float-custom-metadata-exact:"Words Per Page":[5.5 TO
*]
Cloning this Repository
This script relies on code from Nx to present a settings dialog and progress dialog. This JAR file is not included in the repository (although it is included in release downloads). If you clone this repository, you will also want to obtain a copy of Nx.jar by either: 1. Building it from the source 2. Downloading an already built JAR file from the Nx releases
Once you have a copy of Nx.jar, make sure to include it in the same directory as the scripts.
License
Copyright 2018 Nuix
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.


public class Clock extends java.lang.Object implements ScheduledEventListener
HBScheduler
class. If the HBScheduler
has it's time adjusted, all Clock
objects will follow the time of the HBScheduler
.
Clock.ClockTickListener
to it through the addClockTickListener(ClockTickListener)
. More than one listener can be added to a clock
Clock testclock1 = new Clock(1000); testclock1.addClockTickListener((offset, clock) - > { long number_ticks = clock.getNumberTicks(); System.out.println("Num Ticks: " + number_ticks); }); testclock1.start();
stop()
or when the sketch is reset
BPM2Interval(double)
and Interval2BPM(double)
facilitate converting intervals to and from Beats per minute
shiftTime(double)
, change the interval through setInterval(double)
, synchronise to another Clock
using synchronizeClock(Clock)
, or cause the clock to restart with a zero count using reset()
getNumberTicks()
, getClockInterval()
and isRunning()
| Modifier and Type | Class and Description |
|---|---|
static interface |
Clock.ClockTickListener
ClockTick interface for receiving clock Tick events
The Clock.ClockTickListener.clockTick(double, Clock) receives the scheduled event and is usually represented as a Lambda. |
| Constructor and Description |
|---|
Clock(double interval)
Constructor using default Scheduler and an interval
|
Clock(double interval,
HBScheduler scheduler)
Constructor
|
| Modifier and Type | Method and Description |
|---|---|
Clock |
addClockTickListener(Clock.ClockTickListener listener)
Add a
Clock.ClockTickListener for this clock. |
static double |
BPM2Interval(double beats_per_minute)
Calculate the interval required to create a clock with a defined beats per minute
Will throw an illegal argument exception if you pass in zero
|
void |
clearClockTickListener()
Clears all
Clock.ClockTickListener for this clock |
void |
doScheduledEvent(double scheduledTime,
java.lang.Object param)
Notification interface that a scheduled event is occuring
|
double |
getClockInterval()
The interval of the clock in milliseconds
|
long |
getNumberTicks()
Return the number of clock ticks since the clock was started
|
static double |
Interval2BPM(double milliseconds)
Calculate number of Beats Per Minute given an interval between beats
|
boolean |
isRunning()
See if clock is running
|
void |
removeClockTickListener(Clock.ClockTickListener listener)
Removes a
Clock.ClockTickListener for this clock previously added using addClockTickListener(ClockTickListener) |
void |
reset()
Reset clock.
|
void |
setInterval(double interval)
Change the interval of the clock and start from now
|
void |
shiftTime(double shift_time)
Shift the clock forwards or backwards an amount of time
|
Clock |
start()
Start the clock at current time
|
Clock |
start(double start_time)
Start the clock at specified time
|
void |
stop() |
double |
synchronizeClock(Clock master)
Synchronise this clock to another one
|
public Clock(double interval)
interval
- the interval in milliseconds Must be greater than 2 milliseconds otherwise could lock uppublic Clock(double interval, HBScheduler scheduler)
interval
- the interval in milliseconds Must be greater than 2 milliseconds otherwise could lock upscheduler
- the scheduler to usepublic double getClockInterval()
public long getNumberTicks()
public boolean isRunning()
public void reset()
public void stop()
public void setInterval(double interval)
interval
- the new clock intervalpublic Clock start()
public Clock start(double start_time)
start_time
- the HBScheduler
time to start the clockpublic Clock addClockTickListener(Clock.ClockTickListener listener)
Clock.ClockTickListener
for this clock. More than one listener can be attached to a Clock
and they
can be added after the clock is already started. For example:
final int TICKS_PER_BEAT = 4; double interval = Clock.BPM2Interval(120 * TICKS_PER_BEAT); Clock testclock1 = new Clock(interval); // create a listener for each Beat testclock1.addClockTickListener((offset, clock) - > { if (clock.getNumberTicks() % TICKS_PER_BEAT == 0){ System.out.println("Beat " + clock.getNumberTicks() / TICKS_PER_BEAT); } }); testclock1.start(); // We can even add listeners after clock is started // Create a Listener for every Tick not on the beat testclock1.addClockTickListener((offset, clock) - > { long tickNum = clock.getNumberTicks() % TICKS_PER_BEAT; System.out.println("tick " + tickNum); });Listeners are removed using
removeClockTickListener(ClockTickListener)
listener
- the listener to addpublic void removeClockTickListener(Clock.ClockTickListener listener)
Clock.ClockTickListener
for this clock previously added using addClockTickListener(ClockTickListener)
listener
- the listener to removepublic void clearClockTickListener()
Clock.ClockTickListener
for this clockpublic void shiftTime(double shift_time)
shift_time
- the amount of milliseconds to shift clockpublic static double BPM2Interval(double beats_per_minute) throws java.lang.IllegalArgumentException
beats_per_minute
- beats per minutejava.lang.IllegalArgumentException
- if the beats_per minute is zeropublic static double Interval2BPM(double milliseconds) throws java.lang.IllegalArgumentException
milliseconds
- the number of milliseconds between beatsjava.lang.IllegalArgumentException
- if milliseconds is zeropublic double synchronizeClock(Clock master)
master
- the clock we are synchronising withpublic void doScheduledEvent(double scheduledTime, java.lang.Object param)
ScheduledEventListener
doScheduledEvent
in interface ScheduledEventListener
scheduledTime
- the time that was scheduled for the callback to occurparam
- the parameter to pass to the listener.


| 017:046 Khan | : |
And We have put coverings over their hearts lest, they should understand it (the Qur'an), and in their ears deafness. And when you make mention of your Lord Alone [La ilaha ill-Allah (none has the right to be worshipped but Allah) Islamic Monotheism] in the Qur'an, they turn on their backs, fleeing in extreme dislikeness. |
| 017:046 Maulana | : |
And We put coverings on their hearts and a deafness in their ears lest they understand it; and when thou makest mention of thy Lord alone in the Qur'an, they turn their backs in aversion. |
| 017:046 Pickthal | : |
And We place upon their hearts veils lest they should understand it, and in their ears a deafness; and when thou makest mention of thy Lord alone in the Qur'an, they turn their backs in aversion. |
| 017:046 Rashad | : |
We place shields around their minds, to prevent them from understanding it, and deafness in their ears. And when you preach your Lord, using the Quran alone, they run away in aversion. |
| 017:046 Sarwar | : |
We put a veil over their hearts so that they cannot understand it. We deafen their ears. When you mention your Lord in this Quran as One (Supreme Being), they run away. |
| 017:046 Shakir | : |
And We have placed coverings on their hearts and a heaviness in their ears lest they understand it, and when you mention your Lord alone in the Quran they turn their backs in aversion. |
| 017:046 Sherali | : |
And WE put coverings over their hearts lest they should understand it, and in their ears a deafness. And when thou makest mention in the Qur'an of thy Lord alone, they turn their backs in aversion. |
| 017:046 Yusufali | : |
And We put coverings over their hearts (and minds) lest they should understand the Qur'an, and deafness into their ears: when thou dost commemorate thy Lord and Him alone in the Qur'an, they turn on their backs, fleeing (from the Truth). |
Concepts/Themes Covered: أركان الإسلام > التوحيد > الكافرون > صفات الكفار Pillars of Islam> Islamic> The Disbelievers> The Characteristics of the Disbelievers أركان الإسلام > التوحيد > المكذبون الظالمون > صفاتهم Pillars of Islam> Islamic> The Oppressive Liars> Their Characteristics أركان الإسلام > (محمد (صلى الله عليه وسلم > أقوال الكافرين فيه Pillars of Islam> The Blessed Muhammad(PBUH)> The Disbelievers' Tales About Him(PBUH) أركان الإسلام > (محمد (صلى الله عليه وسلم > تأييد رسالته Pillars of Islam> The Blessed Muhammad(PBUH)> Supporting his Message القرآن الكريم > تلاوته > الأمر بتلاوته The Holy Quran> The Quran Recitation> The Command to Recit it القرآن الكريم > حقيقته وتصديقه للكتب الأوائل The Holy Quran> The Quran's Reality and its confirmation of the Previous Books
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Newport 10 mile
Newport WAL
Website: www.nhac.org.uk
Race Winners
(44 runnings)
28 Oct
2001
49:48
57:18
27 May
2000
51:21
58:22
03 Apr
1999
49:57
1:01:41
11 Apr
1998
52:53
59:47
29 Mar
1997
50:55
---
06 Apr
1996
50:54
1:00:30
15 Apr 1995
48:24
58:24
02 Apr
1994
49:40
55:32
10 Apr
1993
50:14
57:52
18 Apr
1992
50:42
56:33
30 Mar
1991
48:25
57:58
14 Apr
1990
49:51
1:01:17
25 Mar
1989
49:57
56:51
02 Apr
1988
48:06
56:00
18 Apr
1987
50:39
---
12 Apr
1986
49:42
56:36
06 Apr
1985
49:53
1:01:20
21 Apr
1984
50:39
---
02 Apr
1983
49:00
---
10 Apr
1982
49:02
---
18 Apr
1981
50:13
---
05 Apr
1980
49:48
---
14 Apr
1979
51:10
25 Mar
1978
49:09
09 Apr
1977
49:29
17 Apr
1976
49:09
29 Mar
1975
50:04
13 Apr
1974
48:22
21 Apr
1973
48:24
01 Apr
1972
46:59
10 Apr
1971
49:08
28 Mar
1970
49:26
05 Apr
1969
49:15
13 Apr
1968
49:36
25 Mar
1967
53:02
09 Apr
1966
50:56
17 Apr
1965
51:39
28 Mar
1964
48:21
13 Apr
1963
49:55
21 Apr
1962
50:16
01 Apr
1961
51:36
16 Apr
1960
48:53
28 Mar
1959
49:47
05 Apr
1958
50:35
Notes: The inaugural year was 1958. The courses for 1958-64 and 1972-1974 were probably short.
Gareth Davies-3
Frances Gill-2
Mark Morgan (WAL) (nc)
Louise Copp (WAL) (nc)
Dale Rixon (WAL)
Sam Bretherick-2
Stephen Brace-6
Sam Bretherick (WAL)
Gareth Davies-2
n/a
Gareth Davies (WAL)
Frances Gill (WAL)
Stephen Brace-5 (nc)
Sally Lynch-3 (nc)
Stephen Brace-4 (nc)
Hayley Nash-3 (nc)
Mark Healey (WAL)
Hayley Nash-2
Martin Rees (WAL)
Hayley Nash (WAL)
Stephen Brace-3
Sally Lynch-2
Stephen Brace-2
Claire Jenkins (WAL)
Stephen Brace (WAL)
Christine Kennedy (IRL)
Stephen Jones (WAL)
Sally Lynch (WAL)
Kenny Davies-3
n/a
Kenny Davies-2
Susan Crehan (ENG)
Ieuan Ellis (WAL) (nc)
Sue Graham (WAL) (nc)
John Robertshaw-4
n/a
Kenny Davies (WAL)
n/a
Maurice Cowman (IRL)
n/a
Mike Lane (WAL)
n/a
John Robertshaw-3
n/a
Bernard Plain (WAL)
Paul Haywood (ENG)
John Robertshaw-2
John Robertshaw (WAL)
Robert Cytlau (ENG)
John Jones-2
John Jones (WAL)
Michael Rowland-3
Michael Rowland-2
David Francis (ENG)
Michael Rowland (WAL)
Tony Harding (ENG)
John Tarrant-3
Mick Price-2
John Edwards-2
Mick Price (ENG)
Edward Strong (ENG)
Ivor Edmonds (ENG)
John Tarrant-2
John Tarrant (ENG)
Jack Heywood (ENG)
John Edwards (ENG)
(nc) => national championship
Most Wins
(1958/date)
Men
6
Stephen Brace (WAL)
1989-91,1994-95,1998
Women
3
Hayley Nash (WAL)
1992-94
.
Sally Lynch (WAL)
1988,1991,1995
Prize Money
(ADR qualified runners)
No information on prize money has been received for this race.
Race Time Bias
Insufficient data to compute the race time bias.
Competitive Level
Insufficient data to compute the competitive level.
Quality Performances
Men <48:20 1 <48:40 4 <49:00 4 <49:20 11 <49:40 18 Women <56:00 1 <56:30 2 <57:00 5 <57:30 6 <58:00 8
Last Updated on 31 May 2007
Contributor: Mick McGeoch (50)


Two treated for deadly pneumonic plague in Beijing
BEIJING: Two people in Beijing have been diagnosed with the pneumonic plague - a rare instance of the highly-contagious disease that is fatal if left untreated.
The two individuals were being treated at a central hospital in China's capital city - home to over 21 million inhabitants - on Tuesday (Nov 12), local authorities said.
Pneumonic plague can prove fatal in 24 to 72 hours and is the "most virulent form of plague," according to the World Health Organisation (WHO), while the bubonic form is less dangerous.
The patients are from the northwestern Inner Mongolia province, district officials said in an online statement, adding that the "relevant prevention and control measures have been implemented".
The Beijing government did not respond to AFP's calls for comment, but the WHO confirmed that Chinese authorities had notified them about the plague cases.
"The (Chinese) National Health Commission are implementing efforts to contain and treat the identified cases, and increasing surveillance," said Fabio Scano, coordinator at WHO China.
Scano told AFP that "the risk of transmission of the pulmonary plague is for close contacts and we understand that these are being screened and managed".
According to the WHO website, the lung-based pneumonic plague is very contagious and "can trigger severe epidemics through person-to-person contact via droplets in the air."
Symptoms include fever, chills, vomiting and nausea.
On Weibo, a Twitter-like social media platform, Chinese censors scrubbed the hashtag "Beijing confirms it is treating plague cases" as they tried to control discussions - and panic - around the disease.
"I just want to know how these two came to Beijing??" posted one user. "By train, airplane, or did they drive themselves?"
"Bird flu in the year of the rooster ... swine fever in the year of the pig," wrote another. "Next year is the year of the rat ... the plague is coming."
The plague germ Yersinia pestis can be transmitted to humans from infected rats via fleas.
In 2014, a man died of the plague in northwestern Gansu province in China and sparked the quarantine of 151 people.
The 30,000 people living in Yumen, the town where the man died, were also prevented from leaving, with police at roadblocks placed on the town perimeter.
According to China's National Health Commission, a total of five people have died from the plague between 2014 and September of this year.


Brianna Workman - Project Lead
Brianna has been to 5 world championships for color guard and made it to the top 10. After Lambda, she hopes to one day work at Google.
Brianna has been to 5 world championships for color guard and made it to the top 10. After Lambda, she hopes to one day work at Google.
Holly lived in Russia for six months when she was 20 and spoke French fluently as a child. She hopes to get a remote coding job when she leaves Lambda.
Troy can solve a rubix cube in less than two minutes and hopes to one day be able to provide for my family with the work he does.
Michael started first with building and refurbishing machines from IBM 286 up to current windows and linux systems to learning current programming languages. He knows hardware better than software. After Lambda, Michael would like to do Freelance system setups, marketing for new businesses, and Independent Game Development.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer nec odio. Praesent libero
Jason has over 300 tattoos and loves Five Finger Death Punch. After Lambda, he hopes to work as a web developer for Epic Games.


Have you ever worked on a project or wrote a paper and at some point something went wrong? Either information was deleted by accident, you had a change of heart on the wording or approach used previously and wished you could go back to how it used to be. Wouldn’t it be great if you could rewind? This is where Version control would be mighty handy!
In terms of coding, version control keeps track of edits. It allows you to see when changes were made, why they were made and what content actually changed.
Let’s now take a look at Git and GitHub - Git is a version control system utilized locally (on your computer) when installed on your Command Line Interface. GitHub utilizes the Git version control system remotely/on the internet. Both allow for multiple edits simultaneously and merges the changes once committed* so that there is one main document being worked on at all times. GitHub requires uploads from the work being done locally on your computer and tracks the edits made but multiple individuals. GitHub helps with Version control when collaborating. Multiple individuals can work on the same material at the same time and, once uploaded, GitHub merges the edits into the one version being worked on.
As you continue to learn and practice code, remember that version control is your friend. There for your to make things a little easier!


This is the API details page. Use this page to modify the meta-data, plans, and policies for the API. There is no need to follow the tabs in order, but note that you will need to fill out a minimum amount of data before the API can be published to the Gateway. In particular, the Implementation and Plans tabs are important (more information below).
The 'Implementation' tab is where you go to configure the details of the real API being managed. This is where you tell apiman where the API is, so that we can actually invoke it at runtime.
The 'Definition' tab allows you to configure an optional API Definition document for your API. A API Definition is a detailed description of the capabilities of your API (operation names, http verbs, data models). For example, you might add a Swagger spec document as your API Definition.
The 'Plans' tab is used to configure which Plans (already defined in the Organization) are available when a Client App wishes to create an API Contract with this API. Optionally, an API can also be marked as "Public", which means that no API Contract is required (the API can be invoked without sending an API Key).
The 'Policies' tab is where you go if you wish to configure any policies that should be enforced for *all* requests to the API, regardless of which user, Client App, or Plan is being used. In other words, API-level policies.
The 'Contracts' tab will show a table of all Client Apps that have created API Contracts to this API. In other words, it shows all of the registered consumers of the API. Note that if the API is marked as "Public", this tab will likely be empty.
The 'Endpoint' tab will show you information about how to invoke the API once it is published to the API Gateway.
The 'Change Log' tab shows a history of all the changes made to the API. Essentially it is an audit log.


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{% extends "header.html" %} {% block body %}
KivyVideo5.py:
from kivy.app import App #kivy.require("1.8.0") from kivy.uix.label import Label from kivy.uix.widget import Widget class Widgets(Widget): pass class SimpleKivy3(App): def build(self): return Widgets() if __name__ == "__main__": SimpleKivy3().run()
The above file remains relatively unchanged, aside from the new name of the main app, which is now SimpleKivy3 to correspond with the SimpleKivy3.kv file.
SimpleKivy3.kv:
<Button>: font_size: 40 size: 170,75 color: 0,1,0,1 <Widgets>: Button: pos: root.x, root.top - self.height text: "Kivy" Button: pos: 170,0 text: "Tutorials"
Now what we're showing here is that we can have a "button" parent, acting like a global variable, where we specify that buttons are 40 font size, the button is 170x75, and the color is green.
After that, we see some more button definition within the Widgets parent. Upon running, we see that the "global" variables have applied, but then the children have their custom code as well.
Also, we illustrate here the use of placing things dynamically, using things like root.x (which references the application), and then self (which references the button itself) especially if you want to position buttons near the top.
The output here should be something like:


earth observing laboratory
Memorandum:____________________________________________________________________________
26 November 2017
| to: | File |
| from: | Al Cooper |
| subject: | |
This is an addition to the “RSessions” tutorial that provided guidance on getting started with analyzing aircraft data using R and the “Ranadu” package of routines. This is more detailed than the other tutorials in those sessions and attempts to be reasonably thorough in its review of spectral analysis using R, although it (as of yet) does not include discussion of coherence, phase, and the cross-spectrum and co-spectrum.
The focus here is on spatio-temporal data, data sets where the variables have associated locations and times. Examples are a time series constructed from consecutive measurements at a fixed location and a set of simultaneous (or “synoptic”) measurements made at various locations. Standard statistical characteristics like the mean, variance, and standard deviation represent the data sets, but it is also useful to describe their internal character by considering two additional characteristics: (i) How are the measurements correlated in time or space (respectively), and (ii) Can the measured fields be represented in terms of sums of frequency or wavelength components? The former leads to the autocovariance and autocorrelation functions and the latter to decomposition into a variance spectrum. These two ways of characterizing the data turn out to be complementary in the sense that knowledge of either one can be used to generate the other.
These notes focus on the second display, often called a “power spectrum,” that shows how the variance in a signal is distributed as a function of frequency or wavelength. The terms “variance spectrum” (for the plot) and “spectral variance” (for the plotted variable) are preferred here because the display is used frequently where the variance does not represent power as it did in early electrical applications.1 The key concept reflected in the variance spectrum is that such spatio-temporal series can be decomposed into independent components that vary in frequency and/or wavelength. The Fourier series is often used and has valuable associated properties of orthogonality and completeness so that individual components can be regarded as independent and the set of such components can represent the observed series without error. However, the early focus here is on how to interpret the resulting variance spectrum rather than on how to construct it. Other sources (e.g., this linked URL) can be consulted regarding how to construct such a representation and some of that material will be repeated here for completeness, but those more interested in using and interpreting the variance spectrum can skip those sections (marked with asterisks).
The variance spectrum can be regarded as the derivative of the cumulative variance function (CV). To simplify the discussion, consider a special case of a time series, maybe the measurements at discrete times of a component of the wind at a fixed location. The natural decomposition is then in terms of frequency ν, and the cumulative variance function can be defined as the contributions to the total variance in the measurements from contributions from frequencies smaller than ν:
|
| (1) |
Here P(ν) is the derivative of CV and is the variance spectrum. In some specified interval δν about ν, the contribution to the variance is P(ν)δν. It is usually the case that observations can only provide estimates of P(ν) for discrete frequencies, but generalization to infinitesimally spaced frequencies allows us in concept to regard P(ν) as a continuous function. When extended to infinitely large frequency, (1) shows that the integral of the variance spectrum will give the total variance, which is the limit of CV(ν) as ν tends to infinity.
Representing the variance spectrum as the derivative of (1) has the additional benefit that transformation to representations in terms of other variables is straightforward. For example, if the time series arises from repeated measurements from a moving platform like an aircraft, and if the air is at rest, the wavelength λ of a fluctuation is related to the frequency of that fluctuation by λν = V where V is the speed of the moving platform. Then another variance “spectrum” (in quotes because this is no longer the representation of the variance in terms of frequency, as implied by “spectrum”) can be defined as Pλ(λ) such that
|
| (2) |
Differentiating (1) and (2) at corresponding values of λ and ν = V∕λ leads to the relationship between the
spectral densities in terms of frequency and of wavelength:
|
| (3) |
Another useful relationship can be obtained by expressing the cumulative variance function in terms of the
logarithm of the frequency. Then, to avoid the infinity that arises at zero frequency, express the cumulative
variance from some minimum frequency νmin to ν:
|
| (4) |
Differentiating gives
|
| (5) |
This shows that νP(ν) is a spectral density function for variance in terms of the logarithm of frequency. That makes this density function particularly suited to plots that use logarithmic abcissa coordinates because then equal areas represent equal contributions to the variance from those intervals. Note also that νP(ν) = -λPλ(λ) so a secondary axis can represent λPλ(λ) on a plot of νP(ν). For these reasons, and also because it tends to compress plots vertically that cover large ranges in frequency, νP(ν) will be used in most of the examples in these notes.
The spectral variance can be regarded as a continuous function, but in practice there are limitations to its determination. This section discusses some of those limitations, notably the Nyquist frequency, and then presents some examples with interpretation.
Some important characteristics of the variance spectrum are the following:
Again for simplicity first focus on a time series. The following plot (Fig. 1 shows three time series that have very different character:
The autocorrelation functions for these series have distinctly different characteristics. The preceding figure was generated from one week of data, for the next plots about 9.5 years of similar observations will be used. The resulting autocorrelation functions are shown in Fig.2. For the white-noise sample, only the lag-zero value is different from zero, which reflects that there is no correlation between consecutive random numbers at any lag. The bottom plot for temperature, however, shows a dominating diurnal cycle. If plotted for longer time differences, it also shows a prominent annual cycle. The middle plot for sea-level pressure and the bottom plot for temperature show a significant correlation over a period of a few days, reflecting the important influence of passing large-scale weather systems. The variance spectrum for pressure also displays an annual and a diurnal cycle, but the diurnal cycle is barely perceptible in this plot. It will be revealed in the variance spectrum.
The autocovariance function (the autocorrelation multiplied by the total variance) is related to the variance spectrum; they are Fourier transforms of each other. The variance spectra are shown in Fig. 3. The variance spectrum for white noise, shown in the top plot, is a constant function of frequency, but there is considerable variability in the estimated spectral variance because of uncertainty in the individual estimates. The white dashed line in that plot shows the result of averaging in bins to reduce that uncertainty, and where the uncertainty is small (for frequencies above about 0.1 day-1) the spectral variance has a value of about 0.083. The standard deviation of the values producing this spectrum is 1, so the expected value of the spectral variance is 1/12=0.08333. This relationship can sometimes be used to estimate the random error in a measurement, because a random error of σ will produce a constant contribution to the spectral variance of σ2∕12. In cases where the high-frequency portion of the spectral variance assumes a constant value, the random error can thus be determined from the spectral variance there.
The middle plot shows the variance spectrum for hourly measurements of sea-level pressure and, as the red dashed line, the altimeter setting. There are prominent spikes in the unaveraged spectrum with frequencies corresponding to (1/24) h-1 and multiples of this frequency extending to at least ten times this frequency. These arise from the atmospheric tides of the diurnal cycle, which instead of a simple sine wave must instead be represented by many “harmonics” of the basic frequency.3 The annual cycle also makes a prominent contribution to the spectral variance. Unlike the sea-level pressure, the altimeter setting is not adjusted by averaging the temperature from the previous 12 h to use for extrapolation to sea level. The higher variance in the sea-level pressure suggests that the altimeter setting is a better variable to use for spectral analysis, even though it is recorded with lower resolution (0.01 inHg or 0.3 hPa vs 0.1 hPa for the sea-level pressure).4 In the case of the measurements of temperature, the diurnal cycle is very prominent (before averaging) and the contribution from the annual cycle is concentrated more on the period of 365.25 days.
It is beyond the scope of this note to describe the detailed construction of the variance spectrum, although a document at this linked URL provides such details. Some of that material is presented in the next sub-section below, but those wanting to skip directly to instructions on how to use “R” to generate the variance spectrum can skip to the following section.
The basic tool used most often for spectral analysis is the Fourier series. This representation is particularly suited to periodic functions and indeed makes the assumption that the series is periodic. Consider a function that repeats with period T, such that f(t) = f(t +T ) = f(t +2T ) = . We seek to represent this function by f*(t), a superposition of sine and cosine waves with various frequencies having amplitudes {ak} and {bk}:
| f*(t) | = a0 +∑ k=1∞(a kcos(ωkt)+bksin(ωkt)) | (6) |
| = | ∑k=-∞∞c keiωkt | (7) |
|
| (8) |
with the wavelengths λk obtained from the frequencies νk for observations over a period T. Where the measurements are made during motion through the field with speed V , the wavelengths λk are found from V = νkλk. Alternately, if the field is a spatial field, the wavelength λk is the natural Fourier component and the representation in terms of the spatial coordinate s is f*(s) = ∑k=-∞∞ckei2πs∕λk.
The coefficients ck can be determined from
|
| (9) |
as can be demonstrated by substituting f*(t) for f(t) in (9) and using the orthogonality relationships for the exponential functions (or equivalently for sine and cosine functions). If there are N observations in the time series, N coefficients in the representation (7) can match those observations exactly.
In the approach to spectral analysis that uses the Fourier transform, the initial step is to determine the Fourier coefficients that reconstruct the observed time series and from that estimate the spectral variance at a set of discrete frequencies. The plot of those estimates is called a periodogram and an example is shown in Fig. 4. This was generated by these R commands:
ts2 <- ts(DIA$SLVP, frequency=24) ## construct time-series object
spectrum(ts2) ## spectrum is part of stats::
In addition to generating the plot, “spectrum()” also returns values for the estimates of spectral variance as a function of frequency so that further manipulation is possible. This is usually necessary because the estimates in the periodogram have large associated uncertainty and will benefit from some type of averaging that reduces the variance. It is also usually preferable to construct logarithmic displays of the variance spectrum.
When using the “spectrum()” function, it is important to recognize that the periodogram returned is two-sided, so values of the “spec” variable as returned by spectrum() should be multiplied by two to match the normalization otherwise used in this note.
This reduction refers to the variance in the estimates and should not be confused with the variance in the time series. A property of the periodogram is that the variance in the individual estimates is equal to the magnitude of the estimate itself, so the result appears to be very noisy. There are many ways to smooth the resulting spectrum and reduce this variance in the estimates. They include:
Examples of each of these methods are shown in Fig. 5. The degree of smoothing has a strong effect on the diurnal peaks because they are so limited in frequency, so too much smoothing caused spectral resolution to deteriorate.
An alternative to the traditional FFT approach is provided by the algorithm developed by Burg and sometimes called the maximum entropy method (MEM). A numerical approach, described in detail in “Numerical Recipes in C”, won’t be discussed here. An R routine that calculates the spectral variance is contained in the “Ranadu” package in the file “mem.R”. That file contains two functions, one for generating the coefficients that represent the spectrum and the other for evaluating the spectrum at a specific frequency using those coefficients. The following section of R code illustrates how these functions are used, and Fig. 6 shows an example.
No smoothing has been applied to this variance spectrum, but it still appears smooth. Smoothing is accomplished by using a smaller number of poles. Sometimes spectral features, like those of the diurnal cycle, can be very sharp, so it is necessary to use high resolution and a modest number of poles (>100) in searches for such features. In this case, using 50 poles for example produces the smoothed spectrum shown as the dashed green line that misses the diurnal-cycle peak entirely, even with fine-resolution evaluation. Evaluation with large numbers of poles (e.g., >400) can require an impractically long processing time.
– End of Memo –
Reproducibility:


The function Ranadu::ggplotWAC( ) is based on the ggplot2 package for R, which provides extensive plotting capabilities and is highly recommended. What is provided via ggplotWAC( ) is a very simplified and restricted approach, but it might be useful in preliminary applications. See this URL for information on ggplot2. The Ranadu routine provides two approaches to multiple plots:
DG <- getNetCDF(fname, V, 200000, 201500)
with(DG, ggplotWAC(data.frame(Time, ATH1), position=c(1,2)))
with(DG, ggplotWAC(data.frame(Time, ATF1), position=c(2,2)))


Various reliability analysis methods for rare event inference: 1) computing failure probability (probability that the output of a numerical model exceeds a threshold), 2) computing quantiles of low or high-order, 3) Wilks formula to compute quantile(s) from a sample or the size of the required i.i.d. sample.
| Version: | 2.1.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | e1071, Matrix, mvtnorm, ggplot2, doParallel, foreach, iterators, DiceKriging, emoa, quadprog |
| Suggests: | microbenchmark, kernlab |
| Published: | 2016-04-03 |
| Author: | Clement WALTER, Gilles DEFAUX, Bertrand IOOSS and Vincent MOUTOUSSAMY, with contributions from Nicolas BOUSQUET, Claire CANNAMELA and Paul LEMAITRE |
| Maintainer: | Bertrand Iooss <biooss at yahoo.fr> |
| License: | CeCILL |
| NeedsCompilation: | no |
| CRAN checks: | mistral results |
| Reference manual: | mistral.pdf |
| Package source: | mistral_2.1.0.tar.gz |
| Windows binaries: | r-devel: mistral_2.1.0.zip, r-release: mistral_2.1.0.zip, r-oldrel: mistral_2.1.0.zip |
| OS X binaries: | r-release: mistral_2.1.0.tgz, r-oldrel: mistral_2.1.0.tgz |
| Old sources: | mistral archive |
Please use the canonical form https://CRAN.R-project.org/package=mistral to link to this page.


|
SystemC
2.3.3
Accellera SystemC proof-of-concept library
|
#include <sysc/kernel/sc_event.h>
Public Member Functions | |
| sc_event () | |
| sc_event (const char *name) | |
| ~sc_event () | |
| void | cancel () |
| const char * | name () const |
| const char * | basename () const |
| sc_object * | get_parent_object () const |
| bool | in_hierarchy () const |
| void | notify () |
| void | notify (const sc_time &) |
| void | notify (double, sc_time_unit) |
| void | notify_delayed () |
| void | notify_delayed (const sc_time &) |
| void | notify_delayed (double, sc_time_unit) |
| sc_event_or_expr | operator| (const sc_event &) const |
| sc_event_or_expr | operator| (const sc_event_or_list &) const |
| sc_event_and_expr | operator& (const sc_event &) const |
| sc_event_and_expr | operator& (const sc_event_and_list &) const |
| bool | triggered () const |
Static Public Attributes | |
| static const sc_event | none |
Friends | |
| class | sc_event_list |
| class | sc_event_timed |
| class | sc_simcontext |
| class | sc_object |
| class | sc_process_b |
| class | sc_process_handle |
| class | sc_method_process |
| class | sc_thread_process |
| class | sc_clock |
| class | sc_event_queue |
| class | sc_signal_channel |
| template<typename IF > | |
| class | sc_fifo |
| class | sc_semaphore |
| class | sc_mutex |
| class | sc_join |
| class | sc_trace_file |
| void | sc_thread_cor_fn (void *arg) |
Definition at line 254 of file sc_event.h.
| sc_core::sc_event::sc_event | ( | ) |
|
explicit |
| sc_core::sc_event::~sc_event | ( | ) |
| const char* sc_core::sc_event::basename | ( | ) | const |
| void sc_core::sc_event::cancel | ( | ) |
|
inline |
Definition at line 284 of file sc_event.h.
|
inline |
Definition at line 285 of file sc_event.h.
|
inline |
Definition at line 282 of file sc_event.h.
| void sc_core::sc_event::notify | ( | ) |
| void sc_core::sc_event::notify | ( | const sc_time & | ) |
|
inline |
Definition at line 410 of file sc_event.h.
| void sc_core::sc_event::notify_delayed | ( | ) |
| void sc_core::sc_event::notify_delayed | ( | const sc_time & | ) |
|
inline |
Definition at line 447 of file sc_event.h.
| sc_event_and_expr sc_core::sc_event::operator & | ( | const sc_event & | ) | const |
| sc_event_and_expr sc_core::sc_event::operator & | ( | const sc_event_and_list & | ) | const |
|
inline |
Definition at line 677 of file sc_event.h.
|
inline |
Definition at line 687 of file sc_event.h.
| bool sc_core::sc_event::triggered | ( | ) | const |
|
friend |
Definition at line 265 of file sc_event.h.
|
friend |
Definition at line 256 of file sc_event.h.
|
friend |
Definition at line 266 of file sc_event.h.
|
friend |
Definition at line 257 of file sc_event.h.
|
friend |
Definition at line 268 of file sc_event.h.
|
friend |
Definition at line 271 of file sc_event.h.
|
friend |
Definition at line 262 of file sc_event.h.
|
friend |
Definition at line 270 of file sc_event.h.
|
friend |
Definition at line 259 of file sc_event.h.
|
friend |
Definition at line 260 of file sc_event.h.
|
friend |
Definition at line 261 of file sc_event.h.
|
friend |
Definition at line 269 of file sc_event.h.
|
friend |
Definition at line 267 of file sc_event.h.
|
friend |
Definition at line 258 of file sc_event.h.
|
friend |
|
friend |
Definition at line 263 of file sc_event.h.
|
friend |
Definition at line 272 of file sc_event.h.
|
static |
Definition at line 304 of file sc_event.h.


Overview
The goal of CyChecks is to allow users easy access to the publicly available data concerning Iowa State University (the Cyclones) employee salaries.
Some of the services this access could offer include:
Background
The state of Iowa offers a large amount of public data at this site. You can access the data by signing up for an API token here. Iowa state employee salaries are available at this site. Using an API token, CyChecks provides a function to easily get data for any given year.
The data from this site does not include the employee’s home department. Unfortunately, to our knowledge the data linking names to departments is not easily accessible. ISU’s Human Resources Department kindly provided a list of employees with their home departments and associated colleges valid as of January 1 2019. Since acquiring this information is not reproducible to the average user, we’ve included a full dataset (with names anonymized) of all salary info (2007 - 2018) cross-referenced by department in the CyChecks package. We realize employees that have left before 2019 will not have their department listed in this dataset. This isn’t ideal, but a reality of trying to display this sort of data.
Summary
This package currently includes:
You can install the development version CyChecks from github with:
devtools::install_github("https://github.com/vanichols/CyChecks")