text:
Architecture Is Tough! Will Architect Barbie Help More Women Become Designers?
Each year Americans make a very important decision that affects the future of our country. They choose the next career of a certain plastic icon.
As part of the Barbie "I Can Be..." series, several vocations for the doll are suggested to the public, and Mattel asks us to choose which of these wide-ranging careers are most important for girls to emulate. Last year Architect was in the running—alongside Computer Engineer, News Anchor, and Environmentalist—sparking a wave of design-centric support. Architect didn't win the popular vote as the next doll to be produced, but a year later, Mattel announced at the annual Toy Industry Association Toy Fair that Architect Barbie was indeed in the blueprint phase. Later this summer, you'll finally be able to meet (and purchase) Architect Barbie.
Architects are upset because she's wearing too much color. Also, scale models hardly ever come in pink.
There has been much discussion in the design community over the last week about Barbie's sudden ascension into the ranks. Mostly, about how Mattel got it all wrong. Architizer interviewed the handful of female architects who won the AIA's Young Architect Prize about Barbie. They commented, mostly, about her clothes and accessories. Carrying an outdated document tube! Wearing high-heeled boots on a construction site!
I'm not really as concerned about all that—first of all, she's a doll; second, her feet are molded into that permanent tippy-toe, she can only wear heels, people. But I'm honestly interested in the real impact that this doll could have on how many women enter the design field.
You may remember a piece that I wrote last year, "Where My Ladies At?" In it, I uncovered some interesting statistics about the industrial design field. Even though, anecdotally, women make up about half of design students, when it comes to practicing industrial designers, the number of women drops to about 10 to 15 percent. It's slightly better for architects. There's a statement about Architect Barbie at the site of the American Institute of Architects which notes that only 17 percent of their ranks are female.
Did "I Can Be... Barbie Art Teacher" inspire a wave of design educators? What about "I Can Be... Barbie Pet Sitter"?
Can a doll, especially one as iconic as Barbie, sell young girls on a future career? Mattel thinks so: "Barbie inspires girls to try on different careers, encouraging them to play out their dreams and explore the world and all of its possibilities without ever having to leave home," Mattel spokesperson Michelle Chidoni told the AIA. "We believe role-playing with Barbie leads to real life opportunities, and are very proud to introduce I Can Be...Architect Barbie as our 2011 career of the year."
The two female architects who consulted with Mattel to make Architect Barbie a reality also think she can inspire the next generation of designers. In fact, that's why they launched a ten-year campaign to get Mattel to listen to them.
In 2002, Architect was also on the "I Can Be..." ballot, and from the beginning, University of Buffalo professor Despina Stratigakos, who has devoted a career to studying gender and design, saw the power to raise the profile of female architects. "Barbie is a cultural icon with the power to provoke conversations," she tells me. "We could imagine a conversation at the toy store between a girl and her parents about the roles of women in society today. But we also hope the doll will prompt those in the profession to reflect on issues of identity and image, particularly with regard to exclusions."
Ten years ago, the American public did pick Architect (over Librarian, even!) but Mattel never announced the doll. So Stratigakos mounted an exhibition in 2007 at the University of Michigan where she asked designers and artists to create their own vision of what the doll might look like. The Architect Barbie exhibition even featured a pregnant, "glass ceiling" Barbie.


text:
Cocoon Stachus is quite a large hotel in Munich. Book a stay in one of the 3-star rooms offered here. The hotel provides an excellent position from which to walk to some attractions including Classic Art Collection and Bavarian State Collections of Antiques. Staying here, you are conveniently located close to Munich Railway Station. Your position in this area allows you to visit Karlstor, Königsplatz and even Karolinenplatz easily. From this location you can get to Propylaea Monument, as it is situated 0.9 km (0.6 miles) from here.
Is a bar/lounge high on your list of requirements? Cocoon Stachus is probably the right place for you. Choose this accommodation to benefit from services including a luggage storage. Don't worry if you are attached to your pets so much you never want to leave them: they can come here with you. 69 rooms are located in the building.
Cocoon Stachus has climate control via an air conditioning system. One of the services included in the rooms here is a housekeeping service. Those who love modern facilities may be pleased at the inclusion of a DVD/VCR player and an MP3 docking station in the rooms. Guests here benefit from wireless high-speed Internet access (complimentary). Your morning or evening routine in the bathroom is more comfortable here, as you find a rainfall showerhead in the bathroom.
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subset: commoncrawl


text:
Maroon 5 - Payphone
Artist: Maroon 5
Featuring: Wiz Khalifa
Producer: Shellback and Benny Blanco
Album: Overexposed
Avg Rating: 3.7 ( 22 votes )
Remember the good old days, when you could place a call from practically any street corner, without lugging around bulky smartphones? I mean, provided you were carrying the correct change. Oh, and the person you were trying to reach had better pick up, or you just wasted your money. OK, I guess those days weren't that great—but one thing the humble Payphone will always have over mobile handsets is the drama factor. As proof, I present the latest single from Maroon 5, which finds frontman Adam Levine standing in the booth in rapt suspense, waiting to find out if his last fifty cents will connect him with the girl her loves. Backed by Shellback and Benny Blanco's airy pop production, the singer expresses his longing to patch things up with the woman in question, despite the burnt bridges between them. Wiz Khalifa guests on the middle, chucking the deuce to a woman who doesn't appreciate all he's done for her. In addition to keeping it locked for more fresh tunes leading up to the June 26, release of Maroon 5's fourth full-length, Overexposed, fans can tune into tonight's episode of The Voice to hear Levine (a judge on the talent program) perform this record live.
Maroon 5Wiz Khalifa Music VideosR&B/PopHitmaker
Written by richard on 04/16/12
Submit your Rating
A&M/Octone Records
First DJ Booth Appearance:
"Animals (Remix)" (2014)
Total DJ Booth Features:
1 Songs
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text:
Africa Portal Library
A key feature to the Africa Portal is the online library collection holding over 4,000 books, journals, and digital documents related to African policy issues. The entire online repository is open access and available for free full-text download. A portion of the digital documents housed in the library have been digitized for the first time as an undertaking of the Africa Portal project. Facilitating new digitization projects is a core feature of the Africa Portal, which aims to improve access and visibility for African policy research.
Agricultural Mechanization Strategies for Rwanda Shifting from Subsistence Agriculture to Market-oriented Agriculture


text: Went here to try somewhere new for a change to entertain our friends and can honestly say I will not be going back again ever. Food was bland, portion sizes were tiny, received a dish full of sauce with no meat in. Wanted to question but my partner stopped me. Not what you expect when the meals aren't cheap anyway.... More


text:
International Cyber Security virus (also known as International Cyber Security Protection Alliance virus) is a foolishly designed ransomware, which reminds us about FBI Cybercrime Division virus and Fbi virus. This particular threat is set to attack French PC users, but it can also be expected that word 'International' has been used not because of no reason. Seeing its main aim, which is to swindle the money from its victim, International Cyber Security virus typically blocks its target PC and shows a black notification that covers the entire computer's desktop. It must be added that this alert prevents its victims from getting on the Internet and checking its trustworthiness, and reports about various law violations detected. Of course, all this is done for scaring PC user into paying the fine. However, FBI, International Cyber Security or other governmental authority has never been using such primitive ways for punishing their criminals. Please, ignore International Cyber Security virus and its forged alert. Additionally, follow our special steps given below and remove this ransomware from the system.
International Cyber Security virus is mostly spread via spam, which looks like the official notification. If you fall for it and open such scam letter, trojan horse gets ability to get inside the system without any permission asked. In addition, this ransomware has also been discovered to rely on freeware, shareware and fake alerts offering to update various software, so beware about that. As soon as it gets inside, International Cyber Security virus locks the whole desktop down with its huge notification. As a result, computer's desktop gets replaced by a huge message that clearly tries to scare users into paying the fine. The main thing, which has to be done when having International Cyber Security virus, is ignoring this fake alert. Additionally, remove malicious files from the system as soon as possible.
When trying to remove International Cyber Security virus, you have to unlock your computer first. In order to get an ability to scan your compromised computer with a decent anti-malware, follow these options:
* Flash drive method:
1. Take another machine and use it to download SpyHunter or other reputable anti-malware program.
2. Update the program and put into the USB drive or simple CD.
3. In the meanwhile, reboot your infected machine to Safe Mode with command prompt and stick USB drive in it.
4. Reboot computer infected with International Cyber Security virus once more and run a full system scan.
* Users infected with International Cyber Security virus are allowed to access other accounts on their Windows systems. If one of such accounts has administrator rights, you should be capable to launch anti-malware program.
* Try to deny the Flash to make your ransomware stop function as intended. In order to disable the Flash, go to Macromedia support and select 'Deny': http://www.macromedia.com/support/documentation/en/flashplayer/help/help09.html. After doing that, run a full system scan with anti-malware program.
* Manual International Cyber Security virus removal:
QR is short for Quick Response. They can be read quickly by the mobile phones. QR codes can store more data than
standard barcodes, including url links, geo coordinates, and text.
The reason we add QR code to the website is that parasites like International Cyber Security virus are really hard to remove on infected computer. you can quicly scan the QR code with your mobile device and have manual removal instructions to uninstall International Cyber Security virus right in your pocket.
Simply use the QR scanner and read removal instructions from mobile device.
Information added: 2013-05-03 06:03
Information updated: 2013-05-03 06:03
Attention: Use this form only if you have additional information about International Cyber Security virus parasite, its removal instructions, additional resources or behavior. By clicking "post comment" button you agree not to post any copyrighted, unlawful, harmful, threatening, abusive, harassing, defamatory, vulgar, obscene, profane, hateful, racially, ethnically or otherwise objectionable material of any kind.


text:
Sib Spot
We're so excited to have joined forces with SuperSibs! You will soon be able to sign up to receive the benefits of this wonderful program as well as refer other families to the program. Sign up to be notified when we will begin taking referrals. View the press release here!
Welcome to Sib Spot! This section of our website was created just for you – our SuperSibs!
Below are different sections – to get started, select the one that best fits you! Depending on which you select, you will find fun activities and answers to some of your questions. Of course, if you need more information, or you have additional questions, ask your parents or a trusted adult (aunt, uncle, grandparent, close family friend, or teacher) to read the information and do the activities with you.
>> Ages 4-7
>> Ages 8 - 12
>> Teen
>> Bereaved
We know that it can be tough to have a brother or sister with cancer. It's normal to have all kinds of feelings. Sometimes people describe it as "being on a roller coaster." You are amazing and very special to your parents, siblings, family, friends, teachers….and to us! We hope that you like the mailings we send you as a SuperSib and that they remind you of how much we care about you.


text:
Main Navigation
home page
booking info
f.o.c. is an alternative/rock band from San Antonio, Texas. Nick Evans (vocals), Christopher Pate (guitars/vocals), Scott MacWilliams (drums, percussion) and Chris Kosiorek (bass, keyboards, vocals) developed the songs of songwriters Evans and Pate for the band's first album, which was recorded at Keith Harter Studios (San Antonio) and independently released in 2013. f.o.c.'s second album was produced by David Percefull and recorded at YellowDog Studios in Austin, Texas in June 2014. The album, entitled "color blind," will be released in early 2015. The acronym f.o.c. originates from "first order condition," which was used as the band's original name in 2011.
October 2014: We're looking forward to the Holidays (already?) and planning some acoustic shows at Brooke Army Medical Center (BAMC) in support of the patients, the mission and excellent care that BAMC provides to the San Antonio community and the Nation..
Two recent reviews of our upcoming album..check out links below..
A big thanks to the Gary Sinise Foundation, the Lt Dan Band and Brooke Army Medical Center! We are so thankful to have had the opportunity to support BAMC and GSF in all they do for Wounded Warriors.
August 2014: Show tomorrow night at Jack's with Burning Circle and Eden Burning...video party/shoot at Josabi's next month....
July 2014: Happy 4th! Doing the mix on our 2nd album--release party early fall 2014.
May 2014: Weekend in Austin with yellowDog--
March 2014: We've got some great shows coming up over the next few months--join us this weekend at Raven's for a smoking time. Supporting Operation Comfort in April with Burning Circle and Cherry Street Hookers--should be a blast. We're sharing a bill w X-Brand out of SA at Retox in June. Finally, heading to Austin in May to record our next EP at yellow DOG Studios (
January 2014: Happy 2014! Thanks for the awesome turnout at Moses Roses last night!
December 2013: Had a blast at Jack's Live Music Venue in SA with Maeta (they rock)--finishing up some new tunes and looking forward to some studio time in Austin in the early spring. Join us on the River Walk in January..Happy New Year!
November 2013: A big shout out to the Raven Hookah Lounge--we had a blast and look forward to returning in the early Spring. Check out our sister site at:
October 2013: Happy Halloween! We're part of Brooke Army Medical Center's Facebook Idol competition this Thursday (Halloween)--got a new song we've tweaked for the event in preparation for our Spring 2014 album release
August 2013:
Great Day SA, 28 August 2013
July 2013: A big thanks to Ann (
Ann Vee Photography
) and Rudy (
Major Filmz 210
) for coming out to Rolling Oaks and supporting our show--
June 2013: EP now available on CD Baby, iTunes, and Amazon..
May 2013: Finished EP at
Harter Studios
in San Antonio and mastered by
Richard Dodd
(who is awesome and we were totally psyched by having him do the mastering --check his other work out)--EP release coming soon..
Content copyright


text:
Printable Area
By KimmieOH on November 12, 2002
"Give your chicken breast a new KICK!"
Serving Size: 1 (308 g)
Servings Per Recipe: 4
"I'm new here so writing a review for a recipe that was submitted 8 years ago seems silly, but here I go... Muenster is a bad cheese to go with chicken (especially without specifying how thick the slices should be) since it's a mild cheese and doesn't contribute much to the entrée. I think Cream of Chicken would have been a better choice. I used Cream of Mushroom (with Garlic!) and between the mushrooms and the garlic the taste of the entrée was overwhelmed by the two. I haven't just poured breadcrumbs on anything. I usually do the thing with the egg and bread and all that (whatever that's called). It didn't work out with this dish the way it was suggested. I also used 9 Grain bread... again, overwhelming. Why doesn't anyone specify the type of breadcrumbs for all the kitchen noobs?"


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Description: Letterpress poster for a German vintners dinner, with illustrations printed in green ink of a wine bottle, a wine glass, and fruit. Text is printed in gold...
Date: 1934
Description: This illustration shows how many pounds per barrel of different Rahr Special Malts are needed to brew Munich, Bock and Kulmbacher style beers.
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Date: 1983-08
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Date: 1954-11-22
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2x DIN w/ 6.1" Touchscreen
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Chevrolet/Chevy, GMC, Oldsmobile, Pontiac, Buick, Cadillac and Saturn
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"Devante Wyatt, the lead singer of Blindfire, said he had friends who came through the Big Brothers Big Sisters of Rockland organization and saw what it gave to younger people. He said it also gave his band a chance to get some exposure and some new fans."


text: United States Patent: 7079888 ( 1 of 1 ) United States Patent 7,079,888 Oung , et al. July 18, 2006 Method and apparatus for monitoring the autonomic nervous system using non-stationary spectral analysis of heart rate and respiratory activity Abstract A method and apparatus for non-invasive, real-time monitoring of the autonomic nervous systems using non-stationary spectral analysis of both heart rate and respiratory signals. Continuous wavelet transformation is used in real-time so that the dynamic interactions between the sympathetic and parasympathetic divisions of the autonomic nervous system can be independently monitored in the frequency domain. The method in accordance with the present invention allows spectral analysis, formerly limited to the study of stationary data, to be applied to time-varying biological data such as heart rate variability and respiratory activity. In addition, the same techniques are used to monitor other biological or physiological data, including blood pressure. Inventors: Oung; Harry (Philadelphia, PA), Colombo; Joseph (Richboro, PA) Assignee: Ansar, Inc. (Philadelphia, PA) Appl. No.: 10/387,070 Filed: March 12, 2003 Related U.S. Patent Documents Application NumberFiling DatePatent NumberIssue Date 60371909Apr., 2002 Current U.S. Class: 600/513 Current International Class: A61B 5/0402 (20060101) Field of Search: 600/508-523 References Cited [Referenced By] U.S. Patent Documents 3989034 November 1976 Hojaiban 4018219 April 1977 Hojaiban 4510944 April 1985 Porges 4832038 May 1989 Arai et al. 4862361 August 1989 Gordon et al. 4930517 June 1990 Cohen et al. 4979110 December 1990 Albrecht et al. 5042497 August 1991 Shapland 5042499 August 1991 Frank et al. 5105354 April 1992 Nishimura 5191524 March 1993 Pincus et al. 5265617 November 1993 Verrier et al. 5285793 February 1994 Slovut et al. 5411031 May 1995 Yomtov 5423325 June 1995 Burton 5437285 August 1995 Verrier et al. 5466245 November 1995 Spinelli et al. 5481269 January 1996 Imhoff et al. 5495554 February 1996 Edwards et al. 5503159 April 1996 Burton 5522854 June 1996 Ideker et al. 5537344 July 1996 Isshiki et al. 5562596 October 1996 Pincus et al. 5596993 January 1997 Oriol et al. 5603331 February 1997 Heemels et al. 5622178 April 1997 Gilham 5682901 November 1997 Kamen 5712801 January 1998 Turcott 5718235 February 1998 Golosarsky et al. 5749900 May 1998 Schroeppel et al. 5767160 June 1998 Kaesemeyer 5769793 June 1998 Pincus et al. 5810737 September 1998 Dardik 5842997 December 1998 Verrier et al. 5846189 December 1998 Pincus 5891044 April 1999 Golosarsky et al. 5919210 July 1999 Lurie et al. 5921940 July 1999 Verrier et al. 5952957 September 1999 Szu 5957855 September 1999 Oriol et al. 5964788 October 1999 Greenhut 5967995 October 1999 Shusterman et al. 6009447 December 1999 Kubota et al. 6026230 February 2000 Lin et al. 6035233 March 2000 Schroeppel et al. 6050950 April 2000 Mohler 6050951 April 2000 Friedman et al. 6053872 April 2000 Mohler 6078834 June 2000 Lurie et al. 6144877 November 2000 DePetrillo 6144878 November 2000 Schroeppel et al. 6152879 November 2000 Mohler 6169919 January 2001 Nearing et al. 6179783 January 2001 Mohler 6212427 April 2001 Hoover 6216032 April 2001 Griffin et al. 6229453 May 2001 Gardner et al. 6253107 June 2001 Albrecht et al. 6253175 June 2001 Basu et al. 6269263 July 2001 Ohnishi et al. 6277875 August 2001 Holman 6301499 October 2001 Carlson et al. 6308094 October 2001 Shusterman et al. 6310963 October 2001 Erdol et al. 6330469 December 2001 Griffin et al. Foreign Patent Documents 0944411 Apr., 2001 EP 08095955 Dec., 1996 JP Primary Examiner: Getzow; Scott M. Attorney, Agent or Firm: Simpson; Mark D. Synnestvedt & Lechner LLP Parent Case Text REFERENCE TO RELATED APPLICATION This application claims priority to U.S. Provisional Application No. 60/371,909, filed Apr. 11, 2002, which is hereby incorporated by reference. Claims We claim: 1. A method for measuring activity of the autonomous nervous system of a patient comprising the steps of: 1) obtaining instantaneous heart rate signals of said patient; 2) computing a first power spectrum from said instantaneous heart rate signals using non-stationary signal analysis; 3) determining a level of sympathetic activity and parasympathetic activity from said power spectrum; 4) obtaining respiratory activity signals of said patient; 5) computing a second power spectrum from said respiratory signals using non-stationary signal analysis; and, 6) determining the instantaneous respiration frequency from the said second power spectrum. 2. A method as set forth in claim 1, further comprising the steps of: 7) computing a low frequency area from said first power spectrum; 8) computing a respiration frequency area from said second power spectrum; 9)) using said low frequency area to determine a level of sympathetic activity; 10) using said respiration frequency area to determine a level of parasympathetic activity; and 11) using the ration of said low frequency area to said respiration frequency area to determining a level of sympathovagal balance. 3. A method as set forth in claim 2, wherein step 6.5 comprises: 11.1) comparing said ratio with a set of existing standards. 4. A method as set forth in claim 2, wherein step 2 and step 5 comprise computing said first power spectrum and said second power spectrum using analysis windows of four seconds or less. 5. A method as set forth in claim 4, wherein said level of sympathetic activity, said level of parasympathetic activity, and said sympathovagal balance are determined in a clinical setting using a test period of approximately 15 minutes and 35 seconds. 6. A method as set forth in claim 4, wherein said level of sympathetic activity, said level of parasympathetic activity, and said sympathovagal balance are determined in an operating room environment wherein patient monitoring is continuous. 7. A method as set forth in claim 4, wherein said level of sympathetic activity, said level of parasympathetic activity, and said sympathovagal balance are determined in a Neonatal Intensive Care Unit. 8. A method as set forth in claim 4, wherein said heart rate signals and said respiratory activity signals further comprise the steps of: 1.1) conducting a baseline test approximately 5 minutes in length to determine sympathetic level, parasympathetic level, and Sympathovagal Balance in a resting state; 1.2) conducting a relaxational deep breathing challenge approximately 1 minute in length to determine the reflex response of said parasympathetic level; 1.3) conducting a series of Valsalva maneuvers of approximately 15 seconds or less, wherein said series is approximately 1 minute and 35 seconds in length to determine the reflex response of said sympathetic level; 1.4) conducting a standing challenge approximately 5 minutes in length to determine said sympathetic level and said parasympathetic level in a orthostatic reflex. 9. A method as set forth in claim 8, further comprising the step of: 7) comparing the measurements of step 1.1 with the measurements of step 1.2, wherein the existence of overactive parasympathetic reflex is indicated when the respiratory frequency area measurement of step 1.2 is above the upper 85.sup.th percentile of control/normal. 10. A method as set forth in claim 8, further comprising the step of: 8) comparing the measurements of step 1.1 with the measurements of step 1.3, wherein the existence of overactive sympathetic reflex is indicated when the low frequency area measurement of step 1.3 is above the 85.sup.th percentile of control/normal. 11. A method as set forth in claim 8, further comprising the step of: 9) comparing the measurements of step 1.1 with the measurements of step 1.3, wherein the existence of Paradoxic Parasympathetics is indicated when the respiration frequency area measurements of step 1.3 is above the 85.sup.th percentile of control/normal. 12. A method as set forth in claim 8, further comprising the step of: 10) comparing the measurements of step 1.1 with the measurements of step 1.4, wherein the existence of Paradoxic Parasympathetics is indicated when the respiration frequency area measurements of step 1.4 is above the upper 85.sup.th percentile of control/normal. 13. A method as set forth in claim 8, further comprising the step of: 11). comparing the measurements of step 1.1 with the measurements of step 1.4, wherein the existence of Ortostatic Intolerance is indicated when the change in low frequency area measurements over the respiration frequency area measurements taken in step 1.4 is below the lower 15.sup.th percentile of control/normal. 14. A method as set forth in claim 1, wherein said non-stationary signal analysis used in step 2 is continuous wavelet transforms. 15. A method as set forth in claim 1, wherein said non-stationary signal analysis used in step 5 is continuous wavelet transforms. 16. A method as set forth in claim 1, wherein step 1 is performed using a EKG. 17. A method as set forth in claim 1, wherein step 2 further comprises the steps of: 2.1) identifying ectopics within said heart rate signals; and 2.2) removing said ectopics from said heart rate signals. 18. A method as set forth in claim 1, wherein step 2 is performed using multi-rate filter banks. 19. A method as set forth in claim 18, wherein step 2 comprises the steps of: 2.3) down-sampling of said first power spectrum; and 2.4) poly-phase filtering of said first power spectrum. 20. A method as set forth in claim 1, further comprising the step of: 12) monitoring blood pressure of said patient. 21. A system for measuring activity of the autonomous nervous system of a patient comprising: a first source providing instantaneous heart rate signals of said patient; a signal processor coupled to said first source, said processor used to compute a first power spectrum of said heart rate signal using continuous wavelet transform techniques; an output coupled to said signal processor, said output providing a visual display of said first power spectrum; and a second source providing instantaneous respiration signals, wherein said signals are processed by said processor to obtain a second power spectrum, said second spectrum displayed on said output. 22. A system as set forth in claim 21, wherein said processor is a software program. 23. A system as set forth in claim 21, wherein said processors comprises programmable logic operating on distributed arithmetic hardware. 24. A system as set forth in claim 21, wherein said output comprises a video display screen. 25. A system as set forth in claim 21, further comprising a third source providing blood pressure data of said patient, said blood pressure data displayed on said output. 26. A system as set forth in claim 21, wherein said output displays the low frequency area, respiration frequency area, and the ratio of said low frequency area to said respiration frequency area as a continuous plot versus time. 27. A system as set forth in claim 21, wherein said output displays the low frequency area, respiration frequency area, and the ratio of said low frequency area to said respiration frequency area in digital format representing averages over periods of time. 28. A system as set forth in claim 21, wherein said output displays the low frequency area, respiration frequency area, and the ratio of said low frequency area to said respiration frequency area in three-dimensional analog form. Description FIELD OF THE INVENTION The present invention relates, in general, to systems for monitoring the autonomic nervous system, and more specifically to a system for using real-time heart rate spectral analysis and wavelet transformation for monitoring the autonomic nervous system. BACKGROUND OF THE INVENTION The autonomic nervous system regulates involuntary functions of nearly all parts of the body in health and disease. It is comprised of two main subdivisions known as the sympathetic nervous system (sympathetic system) and the parasympathetic nervous system (parasympathetic system). The sympathetic system is the system that helps the body respond to stressful situations, and is often referred to as the "fight or flight" system. For example, under stressful conditions the sympathetic system increases the rate in which neurons are fired in order to increase the heart rate, elevate blood pressure, and slow down the digestive process. In contrast, the parasympathetic system helps the body preserve and restore energy. It is often referred to as the "rest and digest" system. For example, when one relaxes by resting in a chair, the parasympathetic system slows the heart, lowers blood pressure, and speeds the digestive process. Under normal resting or sleeping conditions, the parasympathetic system is dominant. The sympathetic system is normally activated with the addition of external stressful conditions. However, certain conditions such as chronic stress, disease, and emotion, can alter the natural balance between the parasympathetic system and the sympathetic system. These factors generally create a persistent elevation in activity in the sympathetic system and a reduction in activity in the parasympathetic system or vise versa. If not controlled, such an imbalance in the autonomous nervous system can impair the functioning of many organs including the heart, vasculature, gastrointestinal (GI) track, kidneys, and lungs. Such impairment can lead to conditions such as altered blood pressure, heart disease, vascular disease, GI track immobility, kidney failure, and other organ related conditions. Today, medications are available that affect the autonomic nervous system, such as ACE-inhibitors, beta-blockers, and anti-depressants. These medicines are used to treat altered blood pressure, irregular heart rhythm, chronic fatigue, diabetes, depression, and other conditions related to the autonomic nervous system. These medicines affect the synthesis, release, uptake, and re-uptake of the body's neural chemistry by acting on the receptors in neurons or muscles located in the various areas of the body, such as the brain, heart, kidney, and blood vessels. Many patients use several of these medications simultaneously; thus, it is increasingly important to be able to measure the response of the autonomic nervous system to ensure that the medications are having the desired effects and that a combination of medications is not creating an undesirable imbalance in the autonomic system. Injury and disease can also have an affect on the autonomic nervous system. For example, diabetes often leads to a condition known as Diabetic Autonomic Neuropathy, which is a condition whereby there is damage to the autonomic nerves. This, in turn, can lead to poor peripheral blood flow, GI track immobility, sexual dysfunction, kidney disease, blindness and silent myocardial ischemia. Silent myocardial ischemia is a condition whereby the patient experiences episodes of blood flow constriction to the heart muscle that is often unnoticed because of an absence of chest pain due to a concurrent loss of sensory neurons. Conditions such as these require that the autonomic nervous system be closely and accurately monitored. An effective method to monitor the autonomic nervous system is to monitor the function of the heart and the lungs and use the information gathered to derive information regarding the autonomic nervous system. In other words, the heart can be used as a "window" through which it is possible to study the activity of the autonomic nervous system. Heart rate is equal to the number of heartbeats occurring within a specific length of time, and is normally measured in beats per minute (bpm). For example, heart rates above 100 bpm (known as tachycardia) are generally considered to result from activity in the sympathetic system, while heart rates below 60 bpm (known as bradycardia), are generally considered to result from the activity in the parasympathetic system. However, because the heart rate is influenced over time by both the sympathetic and parasympathetic systems, the average or mean heart rate is not the optimum indicator for monitoring the state of balance within the autonomic nervous system. A better picture can be derived using the instantaneous heart rate. The instantaneous heart rate can be determined by measuring the time interval between two heartbeats using a standard electrocardiogram (EKG). An accelerating heart rate will exhibit a decreasing time interval between beats, while a decelerating heart rate will exhibit an increasing time interval between beats. By measuring spontaneous changes in heart rate, the autonomic nervous system can be monitored more accurately. The parasympathetic system can cause a very fast response, capable of being observed on the next heartbeat (1 to 3 seconds), while response to sympathetic system activity is typically slower, often taking more than five heart beats (10 to 20 seconds). This makes it possible to distinguish activity within the two systems by observing the characteristics of the heart rhythm using frequency-domain analysis, which is well known in the art. Frequency-domain analysis is a type of spectral analysis typically performed using mathematical modeling methods such as Fast Fourier Transforms (FFT) or autoregressive (AR) techniques. These techniques are used to study the frequency content of the instantaneous heart rate. In applying these techniques, a data sample is obtained over a five minute period (for short term studies) or a 24 hour period (for long-term studies). FFT and AR techniques can be used to process the data sample to separate the slow responding sympathetic activities from the quicker responding parasympathetic activities. However, because these frequency domain techniques do not provide for a means to locate the time events occurring within a data sample, they are most useful for studying short term steady state conditions, meaning situations where the data is consistent across the sample time. For short term studies, this requires the patient to remain motionless during the time period (typically five minutes) in which the data is being gathered. Patient movement, including small movements such as coughing and talking, can cause the accuracy of the information gathered to decrease. In order to compensate for this shortcoming in pure frequency domain analysis, techniques have been used to modify the FFT and AR techniques to approximate a time domain analysis in addition to a frequency domain analysis. A short term FFT can be performed on smaller blocks of data from within the data sample, as opposed to using the entire data sample. This technique assumes that the data is quasi-stationary, and uses a sliding window within the data sample for choosing the data to analyze. This introduces a time dependent factor or time dependent localization into the analysis. However, this technique results in a trade-off between frequency domain analysis and time domain analysis. Choosing shorter windows within the data results in poorer frequency resolution, while increasing the window length decreases the time domain resolution. This shortcoming can create inaccuracies in the analysis of many types of biological data. To address these inaccuracies, newly developed advanced mathematical techniques have been employed, such as the Wigner distribution and the Cohen class of time frequency distributions. However, these processes are quadratic in nature; thus, they produce undesirable cross-terms and interferences. This makes their usefulness in analyzing biological data limited. More recently, the technique of wavelet transformation has been considered as a means for processing heart rate data. Wavelet transformation is a mathematical technique known in the art. The technique is effective for analyzing transient variations within a time series, and thus appears to be well suited for spectral analysis of non-stationary signals such as those found in biological data. However, the complexity of wavelet transformation techniques has made real-time implementation difficult prior to the present invention. What is needed is an effective, non-invasive method of analyzing biological data including the instantaneous heart rate and the respiratory activity to provided accurate, meaningful autonomic nervous system assessment from real-time heart rate variability data. Additionally, it is desirable to shorten the analysis period and improve the resolution of the processed results. This information can then be used to monitor the autonomic nervous system more accurately than previously possible, and further assist medical personnel in the diagnosis and treatment of related conditions. SUMMARY OF THE INVENTION The present invention is a method and apparatus for non-invasive, real-time monitoring of the autonomic nervous systems. The present invention allows for monitoring of the autonomic nervous system using non-stationary spectral analysis of both heart rate and respiratory signals. A preferred embodiment uses continuous wavelet transformation in real-time so that the dynamic interactions between the sympathetic and parasympathetic divisions of the autonomic nervous system can be independently monitored in the frequency domain. The method in accordance with the present invention allows spectral analysis, formerly limited to the study of stationary data, to be applied to time-varying biological data such as heart rate variability and respiratory activity. In addition, a preferred embodiment of the present invention uses the same techniques to monitor other biological or physiological data, including blood pressure. The present invention applies the technique of continuous wavelet transforms to input signals obtained from various physiological sensors. The technique provides a frequency domain analysis of the instantaneous heart rate that can be quickly and accurately obtained and is less sensitive to errors resulting from patient movement during the monitoring time period. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is diagram of the patient monitoring process in accordance with the present invention. FIG. 2 is an illustration of an EKG signal. FIG. 3 is a block diagram of the filtering process used to perform the continuous wavelet transforms. DETAILED DESCRIPTION OF THE INVENTION A preferred embodiment of the present invention provides a method and apparatus for autonomic nervous system monitoring. Inputs from three sources are obtained and processed using continuous wavelet transforms and standard time-domain analysis. The results of the processing are displayed at an output (e.g., a video monitor). FIG. 1 is a graphical illustration of the system in accordance with a preferred embodiment of the present invention. In a preferred embodiment, input is gathered from three sources. The three input sources are the EKG source 101, the impedance pneumography source 103, and the blood pressure source 105. Methods to gather the data at each source are well known in the art, and thus are not discussed herein in detail. The EKG source, which measures electrical impulses from the heart, is sampled at a minimum sampling rate of 250 samples per second, and a more preferred rate of 1000 samples per second, so that the heart beat intervals can be measured precisely within a few milliseconds. The impedance pneumogram source 103 measures relative changes in thoracic impedance. During inspiration, the lung tissue fills with air and becomes more resistive to electricity, and the chest wall becomes thinner as its circumference increases. Both effects increase the impedance associated with the lung. This change in impedance can be measured by applying a small current (less than 300 microamps) between two surface electrodes, and monitoring the slight changes in voltage that occur during the breathing process. The blood pressure source 105 monitors the patient's blood pressure using a non-invasive blood pressure measuring method such as the oscillometric method for burst assessment or the Finapres method for continuous assessment. A preferred embodiment uses the Finapres method, which provides the data required to perform a blood pressure variability analysis using wavelet transforms in accordance with the present invention. In a preferred embodiment, each input signal is displayed in real-time on an output display 107, while at the same time being concurrently processed in accordance with the present invention. The first step in conducting a heart rate analysis in accordance with the present invention is to identify the fiducial point (P point) of the EKG signal, as well as the other defined points (i.e., R point, Q point, and S point) on the EKG signal (step 102). The fiducial point is the beginning point of movement of the heart that constitutes a heartbeat. An EKG signal can be represented by a waveform as shown in FIG. 2. The fiducial point on the wave corresponds to the start of atrial depolarization and is referred to as the P point 201. Atrial depolarization begins in the sinoatrial (SA) node which is controlled by the autonomic nervous system. The R peak 203 of the wave is detected according to FDA approved methods well known in the art. The R-point corresponds to the point of maximum ventricular depolarization. This nomenclature is well known in the art. Next, the period of the heartbeat is determined (step 104). The time between the onset of one heartbeat (P point) and the onset of the next heartbeat represents the period of the heart. However, because the R peak point is more easily identified than the P point, and the P-R interval is relatively constant in the absence of a conductive disorder of the heart, the generally accepted practice is to use the time interval between two consecutive R peaks 205 as the measure of the heart period. To identify the R peaks, the EKG signal is first filtered using a band-pass filter to reduce noise that could distort the wave. The R peaks are then identified using a differentiation and threshold algorithm to produce a pulse train, from which it is possible to identify when the derivative exceeds a set threshold. Once the R peaks are identified, the time interval between the peaks can be computed by using the pulse train to start and reset a clock. The result is a sequence of R-R durations known in the art as the RR-interval tachogram. The next step in processing the EKG signal in accordance with the present invention is to identify any ectopics or missing beats (step 106). The ectopics are removed for the purposes of time domain analysis (step 108); however, a correction process is needed in order to perform accurate frequency domain analysis. Electrical activity in the heart can affect heart rate variability analysis by causing abnormal heart beat interval wave formation. It is important not to confuse these disturbances with the modulation signal from the brain to the SA node. Thus, these erroneous signals need to be removed before performing the spectral analysis on the RR-interval tachogram or instantaneous heart rate waveform. Using interpolation, these disturbances or ectopics are removed to provide the corrected heart rate signal, as described below. Premature beats are characterized by a short beat-to-beat interval, followed by a longer than normal beat-to-beat interval. This will produce a sharp transient in the instantaneous heart rate wave. These beats can be identified using a mathematical algorithm. For example, the function r(n) defines the R-R interval of heart beat number n. The time of the n.sup.th heart beat is defined by the following: T(n)=Sum{r(i)} where the summation is performed from i=0 to i=n. If the ratio r(n)/r(n-1) is larger than (1+x) where x is a predetermined threshold, then r(n) and r(n-1) are considered incorrect and tagged for correction. Additionally, a R-R interval histogram can be used to identify incorrect beats. The R-R intervals associated with an incorrect beat are generally significantly shorter or significantly longer than the normal R-R intervals, and correspondingly fall outside the major concentration of the histogram. A histogram can be computed for every 30 successive R-R intervals. The 25.sup.th and 75.sup.th percentiles of the histogram are identified. A small central region (e.g., the 10.sup.th beat to the 20.sup.th beat) within the 30 R-R intervals is then examined. If an R-R interval is larger than the 75.sup.th percentile (plus a predetermined threshold) or smaller that the 25.sup.th percentile (less a predetermined threshold), the interval is deemed incorrect. In accordance with the present invention, these two techniques are combined to accurately identify incorrect, missing, or premature beats. Once identified, these errors can be automatically corrected by applying a spline interpolation process (step 110) using the correct R-R intervals and their corresponding t(n) as inputs. The signal is re-sampled using the interpolation results (step 112). This assures that these disturbances do not corrupt the analysis, and that any subsequent spectral analysis is performed on an evenly sampled, discrete time signal as opposed to the original unevenly sampled R-R interval tachogram. In some embodiments, it is desired to convert the measurement of R-R intervals (heart period) into an instantaneous heart rate, expressed in bpm (step 114). This is accomplished by using the following relationship: Heart rate=60/heart period. Once any errors resulting from ectopics or missing beats have been identified and corrected, the signal is processed using continuous wavelet transform techniques (step 116). Continuous wavelet transform of a discrete time series x(n) is computed as the convolution of x(n) with a scaled and translated version of a basis function h(t) such that: .function..DELTA..times..times..times..times..kappa..function..times..mu..- times..function..mu..times..mu..times..DELTA..times..times..times..times. ##EQU00001## whereby: .DELTA.t is the sampling period; .kappa.(s) is a normalizing parameter that depends on the scale factor `s`; * represents complex conjugate; f.sub.0 is a constant reference. For a small, nonzero value of s, the wavelet is a time-compressed function of the original basis function h(t), which corresponds to higher frequencies. For a large value of s, the wavelet is a time-dilated function of the original basis function h(t), which corresponds to lower frequencies. Thus, high frequency signal components are analyzed with a sharper time-resolution than low frequency components. By adjusting the scale factor `s` and translating the function h(t) along the time axis, a two-dimensional image is constructed from a one-dimensional time series. This enables the underlying signal features to be displayed both versus frequency and versus time. Conceptually, the continuous wavelet transform can be considered as a mathematical microscope in which one can observe different parts of the signal by just adjusting the focus (scale). In accordance with a preferred embodiment of the present invention, the wavelet power spectrum of concern is represented by the following: .function. .times..function..times..times..times..function..times..times..times..tim- es..function..times..times..times..function..times..times. ##EQU00002## In order to ensure that this is a valid power distribution representation of the measured signal, a normalizing factor is applied. Normalization is crucial to assure that the power spectrum is affected only by the amplitude of the signal, and not by the wavelet function itself or the sampling frequency used. A normalizing factor .kappa.(s) is chosen such that: .kappa..function..times..DELTA..times..times..times..mu..times..function..- mu..times..DELTA..times..times. ##EQU00003## In accordance with a preferred embodiment of the present invention, the basis function h(t) is chosen to consist of a complex oscillating wave modulated by a Gaussian envelope: .function..function..times..times..times..times..times..times..times..pi..- times..times..times. ##EQU00004## whereby: Q is a constant quality-factor that controls the resolution or quality of the wavelet analysis; and f.sub.0 is the frequency of the oscillation (at scale s=1). This allows for a direct correspondence between scale and frequency. The first term within the exponential function controls the shape of the envelope function, while the second term is a complex argument that contributes to the oscillations. For a small value of Q, the Gaussian envelope is narrow so the basis function contains just a few oscillating cycles. For a large value of Q, the envelope is wide so there are more cycles of oscillation contained in the basis function. For heart rate spectral analysis in accordance with the preferred embodiment, the value chosen in this invention is Q=5, so that the wavelet function at each scale would enclose five cycles of oscillation. Once the basis function is chosen, it is necessary to choose a set of scales s for use in the wavelet spectral computation. Because frequency resolution varies as a function of the scale factor, it is convenient to compute the wavelet convolution as fractional powers of two, rather than over uniform increments: .function..delta..times..times..times. ##EQU00005## .delta..times..function..DELTA..times..times. ##EQU00005.2## whereby .delta. determines how frequent the sampling in scale is performed in the wavelet transform computation; I determines the largest scale used in the computation; .DELTA.f is the lowest frequency of interest in the analysis; and f.sub.0 the highest frequency of interest. For heart rate analysis in accordance with a preferred embodiment of the present invention, the set of values chosen is .delta.= 1/5 to give adequate sampling in scale. .DELTA.f is equal to 1/300 Hz and f.sub.0 is equal to 256.DELTA.f. The resulting wavelet spectrum P.sub.CWT(n,f) can then be linearly interpolated to fit on a rectangular grid of time and frequency and presented as an image. Non-stationary spectral analysis is used to process the corrected EKG signal. In a preferred embodiment, the continuous wavelet transform is applied to the corrected EKG signal (step 116). A software package operating on a digital signal processor can be used to perform this process, or alternatively, the processing in accordance with the present invention can be implemented using programmable logic and distributed arithmetic hardware. In a preferred embodiment of the present invention, the continuous wavelet transform is computed using a filter bank structure. The input to the filter bank is an evenly sampled, discrete-time waveform resulting from the EKG source after correction for ectopics. In a preferred embodiment, a sampling rate of 4 samples per second is used to adequately capture the subtle features of the waveform. FIG. 3 shows the filtering process performed in the filter bank structure 300 in accordance with the present invention. Before being fed into filter banks, the incoming signal 301 is divided using a combination of delay registers and down-samplers. A down sampler (306, 307, 308, 309) passes data through to its respective filter (302, 303, 304, 305) for samples arriving at integer multiples of a predetermined factor M of a sampling clock, but prevents the passing of all data in between such times. A series of delay registers (310, 311, 312) store the incoming data and present the output at the subsequent clock cycle. The result of combining the down samplers and delay registers is to distribute the input data to several filters, analogous to a card dealer who deals a deck of cards to M players such that the first player receives the 1.sup.st card, the (M+1).sup.th card, the (2M+1).sup.th card, etc. The separated signal is fed to a number of parallel discrete filter banks 300. Several filters (302, 303, 304, 305) reside within each filter bank. The output of the filters is combined (313) within each bank to create an output array 315. The outputs arrays of the filter banks are then combined to form a complete matrix output. This filtering operation is more efficient than using a single filtering process. In addition, the filtering processes can be implemented in real-time using well known overlap-add FFT methods. The result is a two dimensional function that shows the variation of the power distribution input signal versus time and frequency. A horizontal slicing of the matrix given by the output of a particular filter corresponds to a one-dimensional wavelet filtering performed at a fixed scale s in accordance with the equation for CWT(n,f) set forth above. A vertical slicing across the various outputs yields an instantaneous spectrum of the signal. For example, in the preferred embodiment, a wavelet filtering is computed for a scale s(i) for i=0 to i=40, which corresponds to using 41 separate filter banks from an initial analysis frequency of f= 256/300 Hz to a frequency of f= 1/300 Hz, whereby the frequency resolution varies in accordance with the equation .delta..times..function..DELTA..times..times. ##EQU00006## as set forth above. The result of applying the filtering process is to perform a continuous linear convolution of the input signal with the filter kernel. Accordingly, the filtering operation is performed with the incoming discrete-time sequence, which is then broken into smaller segments, with the convolution performed using an FFT on each segment. The results are combined to form a final signal that is equivalent to the result that would be obtained from a linear convolution of the filter kernel directly with the original signal. The resulting wavelet power spectrum is then computed using the equation for P.sub.CWT as set forth above, and normalized in accordance with the equation for normalization as set forth above. The process described herein has been described with respect to the input signal from the EKG source. The same continuous wavelet transform process is also applied to the signal obtained from the impedance pneumography source. The respiratory cycle would replace the corrected heart rate cycle. Using the signals from the pneumography source, the continuous wavelet transform process is used to calculate the respiratory power spectrum. From the results, the instantaneous respiration frequency (IRF) can be obtained. The instantaneous respiration frequency is obtained by locating the peak frequency of the respiratory energy function. Once the power spectrum for the heart rate and respiration spectrum has been determined, the information obtained is compared with predetermined time- and frequency-domain heart rate variability standards previously developed by the medical community. These standards do not reliably monitor both branches of the autonomic nervous system independently. The heart rate and respiration spectrum information is also used to compute the real-time heart rate variability indices that can be used to independently monitor both branches of the autonomic nervous system. Both are to aid physicians in a better understanding of that patient's autonomic nervous system activity. From the frequency-domain standards previously developed, energy in the power spectrum in the frequency range from 0.04 Hz to 0.15 Hz is defined as the low frequency (LF) component, while energy in the frequency range from 0.15 to 0.4 Hz is defined as the high frequency (HF) component. LF energy is generally believed to reflect activity in both the sympathetic and parasympathetic systems, while HF energy is generally thought to reflect activity in the parasympathetic system so long as the respiratory frequency remains above 0.15 Hz. This is not always the case. The ratio of LF/HF based on the previously developed standards is used to better approximate the activity in the sympathetic system, again so long as the respiratory frequency remains above 0.15 Hz. For example, when the sympathetic activity is increasing, it has been observed that the LF/HF ratio also increases. In the preferred embodiment of the present invention, the LF component, the HF component, and the LF/HF ratio are all displayed on the output monitor (118 on FIG. 1). In a preferred embodiment, the output monitor also displays the results of well known time domain analyses (step 120) performed on the EKG signal. A preferred embodiment of the present invention also provides real-time heart rate variability indices that can be used to independently monitor both branches of the autonomic nervous system. The low frequency area (LFa) is computed as the energy in the heart rate power spectrum between 0.04 and 0.1 Hz. This measurement is indicative of the activity in the sympathetic system. The respiratory frequency area (RFa) is computed as the energy in the heart rate power spectrum under the respiration peak frequency (IRF), calculated using a window whose bandwidth is proportional to the frequency of respiration. In a preferred embodiment, the window bandwidth is equal to 0.7 IRF. This measurement is indicative of the activity in the parasympathetic system. The ratio of these two parameters (LFa/RFa) is then computed. This measurement is indicative of the Sympathovagal Balance. It is known that the RFa is a better measure of parasympathetic activity than the HF. This is one of the differences that distinguishes the previously developed standard measures from the present invention. By monitoring these additional indices, physicians are able to obtain a better indication of cardiovascular control system malfunctions that occur during the resting state. In a preferred embodiment, the output monitor displays the LFa, RFa, and LFa/RFa ratio computations: 1) in digital format representing their averages over the periods of time that correspond to different patient activities, 2) in two-dimensional analog form as trend data representing the respective instantaneous time varying waveforms over the entire period comprising the different patient activities, and 3) in three-dimensional analog form representing the composite time-frequency variation of the patient's autonomic response over the entire period comprising the different patient activities. The use of the method in accordance with the present invention allows for non-stationary spectral analysis. Using non-stationary analysis (e.g., continuous wavelet transforms), the testing period can be significantly reduced. An example of the testing process used is as follows: (a) a five minute initial baseline challenge or measurement is taken with the patient in a resting state to determine the resting levels of the sympathetic and parasympathetic activity, (b) a 1 minute relaxational deep breathing challenge is measured to determine the reflex responses of the parasympathetic levels, (c) a 1 minute and 35 second measurement is taken during which the patient performs a series of five short Valsalva maneuvers to determine the reflex responses of the sympathetic system, and (d) a five minute upright or standing challenge is conducted to determine postural reflexes levels of both the sympathetic and parasympathetic systems. In addition, intervening baseline measurements can be taken between the various challenges to permit the patient's autonomic nervous system to recover from the previous challenge. The entire measurement process as described in the example above can be completed in approximately 15 minutes. This is significantly less time than required to obtain similar data using prior art techniques. Significant information regarding the patient's sympathovagal balance (balance between the sympathetic system and parasympathetic system) can be obtained from comparing the results from the measurement process with clinical data. The results can include underactive paryasympathetic activity, which is indicated by a diminished respiratory frequency area (RFa) with a value below the lower 15.sup.th percentile of control/normal. Similarly, overactive paraysmathetic activity is indicated by a high RFa with a value above the upper 85.sup.th percentile of control normal. The results of the measurement process can also show the presence of underactive sympathetic activity, which indicated by a diminished low frequency area (LFa) with a value below the lower 15.sup.th percentile of control/normal. Similaryly, overactive sympathetic activity can be indicated by a high LFa with a value above the upper 85.sup.th percentile of control/normal. Furthermore, information regarding the autonomic reflex can be monitored and quantified. This can be done by first giving the patient a specific, controlled stimulus to trigger a specific autonomic reflex reaction. By measuring and quantifying the extent of the response, one can determine the integrity or close-loop response of the autonomic nervous system in response to the stimulus. For example, an underactive parasympathetic reflex response can be indicated by a diminished RFa with a value below the lower 15.sup.th percentile of control/normal. Similarly, overactive parasympathetic reflex can be indicated by a high RFa with a value above the upper .sub.85th percentile of control/normal. The presence of underactive sympathetic reflex can be indicated by a diminished LFa with a value below the 15.sup.th percentile of control/normal. Similarly, overactive sympathetic reflex can be indicated by a high LFa with a value about the upper 85.sup.th percentile of control/normal. In another example, Paradoxic Parasympathetics (an expected sympathetic reflex which is replaced by an abnormal parasympathetic reflex) can be determined by comparing the initial measured baseline to the measurements obtained during standing or Valsalva maneuvers. An increase in the RFa above the upper 85.sup.th percentile of control/normal suggests the existence of Paradoxic Parasympathetics. Information concerning other known conditions can also be suggested from the data collected during the testing process. For example, possible Orthostatic Intolerance can be indicated by a drop in the LFa. Orthostatic Hypotension is indicated by a decrease in LFa coupled with a drop in blood pressure that exceeds 20 mmHg in systolic and/or 10 mmHg in diastolic upon standing. Postural Orthostatic Tachycardia Syndrome is indicated by an increase in heart rate of more than 30 beats per minute or a sustained level of over 120 beats per minute upon standing. The method in accordance with the present invention can be applied in various environments. In a lab setting, testing can be performed in a short period of time to determine any indication of the Orthostatic condition set forth above, as well any indication of syncope. In an operating room setting, continuous monitoring of the patient will be performed. Physicians can use data from the monitor output to provide feedback on the depth of anesthesia, hypovolemia, sudden cardiac death, and recovery from anesthesia. In a Neonatal Intensive Care Unit, monitoring the sympathetic activity, parasympathetic activity, and the sympathovagal balance, provides physicians with information to aid in the diagnosis of the onset of bradycardia and the maturity of the ANS. In an intensive care unit setting, testing can be performed over short periods of time to determine the same trend information as current 24 hour monitors provide. Typically, these short periods of time are only five to ten minutes long, and are taken four or five times per day. The application of the method in accordance with the present invention provides for improved spectral analysis of heart rate and respiratory rate signals. Such analysis was formerly limited to primarily stationary data. By studying time-varying data in accordance with the present invention, the behavior of the autonomic nervous system can be monitored more closely and in greater detail than previously possible. The data can be collected, processed, and updated over shorter periods of time, making the information less sensitive to patient movements that might occur during the monitoring period. This allows for improved resolution and better separation of the processed signals, enabling responses attributable to the parasympathetic system to be more accurately distinguished from those attributable to the sympathetic system. The practical benefits of non-stationary spectral analysis (including with the Continuous Wavelet Transform) of heart rate and respiratory rate signals is that it provides better time- and frequency-resolution of biological signals. This, in comparison with earlier methods using signal processing techniques that require stationary or quasi-stationary signals, including the FFT, autoregression, or short-time FFT analyses. The improved resolution in the analysis of the respective biological signals enables a better separation in the monitoring of the two autonomic nervous system branches (i.e., sympathetic and parasympathetic). Non-stationary signal analysis of biological signals avoids the time-frequency compromise and permits the implementation of very short signal analysis periods. For example, in a preferred embodiment the spectral analysis is updated every 4 seconds as compared to previous applications that were updated every no more than every 32 seconds. This eliminates much of the signal averaging that is inherent in the previous methods. Thus, better separation, and shorter analysis periods provides much more detail regarding the activities of the two ANS branches, revealing more clinically relevant information. The end result is a significant improvement in specificity regarding the activities of the two branches of the autonomic nervous system: 1) separately in response to individual challenges and 2) together in response to whole system challenges during periods of activity, and quiescent or static periods of rest. Improved specificity enables better differential diagnoses of patient populations and improved medical care of patients in general. It should be understood that the foregoing is illustrative and not limiting and that obvious modifications may be made by those skilled in the art without departing from the spirit of the invention. Accordingly, the specification is intended to cover such alternatives, modifications, and equivalence as may be included within the spirit and scope of the invention as defined in the following claims. * * * * *


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Home » News » Public Safety
Keene man hurt after near head-on collision
Joseph Rice, 23, was taken to Dartmouth-Hitchcock Medical Center in Lebanon for treatment.
Winchester police, firefighters and ambulance workers responded to the scene on Route 10/Keene Road about one-half mile south of Coombs Bridge Road at 4:13 p.m.
Castor took evasive action by pulling into the breakdown lane, but was unable to avoid the Jeep from striking the driver side of the box truck, police said. The box truck continued into the breakdown land and flipped over onto the passenger side a short distance off of the roadway.
Police said Nichols saw the box truck and swerved to the center of the road to avoid striking the box truck and was struck on the passenger side with what appeared to be the rear of the Jeep after it struck the box truck, police said.Rice suffered serious injuries and had to pulled from the Jeep, after which he was taken to Dartmouth-Hitchcock Medical Center.
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Humidity 81%
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Jul 13, 2011 8:12 PM by Stefanie Boe
Black Hills Energy and San Isabel Electric are reporting widespread power outages from Pueblo to Walsenburg. Thousands of homes are without power. Right now there's no estimate for when the power will be restored.
Black Hills tells us they've lost a major powerline and have been dealing with outages all afternoon.
53 minutes ago


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Tuesday, 21 Apr 2009 09:44 AM
Top White House adviser David Axelrod on Monday said that President Obama's trips to Europe, Turkey and Latin America in the last three weeks have made anti-American sentiment uncool and "created a new receptivity" to U.S. interests.
"What's happened is anti-Americanism isn't cool anymore," Mr. Axelrod said, speaking to an audience of a few hundred at a conference in Washington sponsored by the Religious Action Center of Reform Judaism.
"This president has not only engaged the leaders of the world, he's engaged the people of the world," Mr. Axelrod said, arguing that Mr. Obama's approach to foreign policy has restored "a sense of humility" that "was missing" in the past.
Mr. Obama returned Sunday evening from a four-day trip to Mexico and Trinidad and Tobago, where he sat through a 53-minute anti-American rant from Nicaraguan President Daniel Ortega and exchanged handshakes and smiles with Venezuelan President Hugo Chavez, who has made no secret of his intent to undermine U.S. interests in the region.
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The Boston Composers' Coalition
Presented by MIT Music and Theater Arts at Killian Hall at MIT
March 5, 2013
The Boston Composers' Coalition, founded and directed by MIT lecturer Justin Casinghino, kicks off its third season featuring members of Ensemble 451: Orlando Cela, flute; Annegret Klaua, violin; Franziska Huhn, harp, in seven world premieres: Brett Abigaña, Lullaby; Justin Casinghino, A Place I've Never Been; Ramon Castillo, Artifice; Heather Gilligan, Mourning Dew; Andrew Smith, Instigator; PoChun Wang, Yellow in Gray. 8pm, Killian Hall. Free.
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Analyst Research
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Shiseido Co Ltd: Business description, financial summary, 3yr and interim financials, key statistics/ratios and historical ratio analysis.
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Validea Guru Analysis Report for SSDOY. Analysis using Validea's interpretation of the published quantitative strategies of well-known Wall Street experts including Peter Lynch, Warren Buffett, Ben Graham and Ken Fisher, among others.
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Shiseido Co Ltd to Establish Joint Venture in Dubai
Shiseido Co Ltd announced that it will establish Shiseido Middle East FZCO by the end of 2013. The new company is based in Dubai, the United Arab Emirates (UAE) in partnership with a local company and will import and market products under the global brand SHISEIDO in seven Middle East countries—Bahrain, Jordan, Kuwait, Oman, Saudi Arabia, Qatar, and UAE (in alphabetical order). The joint venture will commence business operations in January 2014. Shiseido International Europe S.A., Shiseido's wholly owned subsidiary in France, and the local company hold equity shares of 51% and 49%, respectively.
Latest Developments for Shiseido Co Ltd
- Shiseido Co Ltd issues consolidated full-year outlook for FY 2015
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Shelly from some of your other posts you appear to get this reaction in real life from other people such as your colleagues too, have you brought this up with your IC?
Well the one situation where that one coworker was rude to me seemed to come out of nowhere. I think it came from me being very thorough with my work so if I have a problem or need something to be fixed, then I go to the source and I work with them to fix it! I was working with her on some adjustments I needed for a bank rec and she has only been here about 6 months or so.....so I just explained what I needed done to fix it but I had to go back a few times because she had questions as well and then she snapped on me in front of another coworker. She said I was bothering her too much and I apologized and told her that our boss had asked me to go back and ask her these questions and I was sorry I bothered her and she said, "But, you just keep doing it huh!"
It was uncalled for....but I let it go. I didn't see a point in fighting with her or being a tattle tail and getting her in trouble. I wrote it off as her being new and everything being overwhelming and complicated. I remember feeling that way too when I started so I was empathizing with her frustration. Maybe she was having a bad day? I don't know. It happens to all of us. But, my other coworkers heard it and came to my defense. Four of them. I was floored by the support....and very humbled as well.
I usually don't get such an adverse reaction by people in real life. I'm a very good people person normally and tend to make friends with strangers! I can talk to literally anyone without a flinch.... but I'm not good at defending myself.
My IC says that I'm wayyy too hard on myself and I have a high guilt complex. It doesn't take much to make me feel bad about myself or for me to feel bad about any decisions I make that aren't perfect. I am my worst critic and toughest competitor. She said that I need to not feel so bad about things. When I told her about that date.....I fully expected her to scold me like a child....but she was surprised I expected that....and had the opposite reaction. I think I'm very emotionally gun shy after the A...the divorce...Piper's father poofing out of her life....and just in general. I've always been emotional.....my whole life... but now I'm just more hyper aware of my sensitivity as I wasn't emotionally mature enough in the past to recognize it.
Gosh....I address EVERYTHING with my IC. I can't believe I started seeing her when I was just a few months pregnant and now my daughter is almost 2. She is practically family!
Thank you Innerlight....I appreciate your kind words.
[This message edited by She11ybeanz at 8:03 AM, June 5th (Thursday)]
D day: November 15th, 2009
Married: 5 Years, together 8
Divorced: December 13th, 2010
New Beginning: Piper/8-3-12
Who knew that it would turn out to be one of those infamous bad dates you laugh about later on? We've all been on them.
Who cares if he was a creep? You weren't.
Nothing obligates a second go round with him, so what did you lose? Except maybe missing an American Idol episode or similar.
Except you screwed up one detail.....my Maserati does 185....I lost my license and now I don't drive. Joe Walsh.
Except you screwed up one detail.....my Maserati does 185....I lost my license and now I don't drive. Joe Walsh.
Thank you Schadenfreude! Its funny how people said I mentioned the car a lot....and now that I look back, I did come across wrong. My friends husband was the one "selling" that detail to me...and he probably brought it up 10 times when he was trying to convince me to go. I should have told him that he could borrow one of my dresses and take a ride with the guy!
Cars don't really do it for me. I don't really care much about that......Now I AM a little sensitive to a guy that can't keep a car! Funny story.... my 1st boyfriend was a mechanic but I ultimately broke up with him because he would steal from me and pawn my things....and I caught him one last time and ended things. He begged and begged for a 2nd chance....and me being young and dumb (20) I agreed to let him come pick me up for lunch at work. My conditions were that he had to "Keep a job and keep a car" for me to even consider working on things (and obviously stop stealing from me you stupid piece of crap!!! But.....I digress)... The reason for this condition was that in the 2 and a half years we dated.....he had at least 10+ different jobs and probably over 20+ different cars....he had a different car it seemed almost every month....he would go from wanting something "Nicer used with a payment" to "a piece of paid off shit."
Well, he showed up at my job to pick me up WHILE TEST DRIVING A NEW USED CAR!!!!!!!!! OMG....I should have said...."OH hell no!!" and ran back inside my job....but I got in the car and we started heading to somewhere to eat.... and about a mile from my job....at a stoplight....the car died. YEP....it died!!!!!! I was sooooooo mad!!!!! He had to push it into a parking lot! Now....I rarely get so mad that I'm screaming and cussing.....but I did that day! I screamed and cussed him out and stomped off back towards my job. Good walk too. Dummy followed me.... as I'm screaming "Get the EFF away from me!!! Leave me alone! Stop following me!" He followed me all the way there and I told him I was driving him back to his piece of crap and that was it....don't call me, don't email me, don't smoke signal me.....I'm DONE!!! done done done! He had the nerve to try to walk off saying "I don't have to put up with this!" And, I screamed at the top of my lungs, "Getting in the Effing car....right Effing NOW!!!!!!!" He tucked his tail.....walked back....and got in the car....and I took him back to his junk pile. That was how that ended!
I hadn't gotten that mad again until after D day.... so....9 years later? It takes A LOT to make me that angry! Even Piper's father never got me to that point.....he pushed me....but never to the breaking point. I think he lucked out...
Maybe that older guy was right.......but he will have to put this redhead in the bitch category...cause after 2 years and going "riding on the bus" I know damn well I'm not a whore!
[This message edited by She11ybeanz at 8:34 AM, June 5th (Thursday)]


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We were out today looking for the green boxes and noticed some figurines were marked a little lower today. Not sure if at all stores, but the one we stopped at was. So those still waiting, might want to check it out.
The ranger was now $10 -- some of the ones there were $18 are now $15. I thought it was a strange drop in price, but don't know if it was the store I went to as it was my first time there. I did get the Cap. Hook piece for $40 and it was mint in the box. Got Clopin for $18 and Quasi for $20. I was not going to get the Hook pieces but it was the first one I've ever seen in perfect condition so my DH talked me into it.
No extra discounts around here yet...
Last edited by Epcot2000; 04-02-2010 at 07:32 AM.
Wanted to correct myself. The Hook piece was $48 (didn't have my readers on and 0 and 8 look alike sometimes). Since I had not planned to get this piece I had not realized that it originally retailed for $399 -- now that is crazy.
Also, I too got Clopin for $30 last week and Quasi for $35, and will return them since I found them for $18 and $21 this week. My DH said it was the last time he was returning. I bought them and had no intention of returning as this was the only store we found both in, but wouldn't you know it, we found a store we had not checked out and there they were (along with Hook, Chicken Litte ($12), Gill ($18)). Still have not found the 2 I've been looking for: Snow White Holiday (The Gift of Friendship); and Clarice (2 chips and a miss). Maybe we'll try some new territory again next week. I do have to say, it's been a long time since I've seen any Small World pieces and so glad I did not get started buying them.
I still can't believe you found a Hook for $48, i live in Miami and had a friend ship it to me from Indianapolis, I payed $30 and $35 for the same Hunchbacks, you might be able to sell those on ebay for $55+ each...maybe you should do that instead of returning them and make up some of the money you already spent
Yes, the ISWA figurines were only 14.99 when I saw them mid-Feb and should've picked some up then. That collection is huge! And they still continue to add more.
I have about 13 of the IASW pieces... They are very cool pieces, probably my favorite collection, except for maybe the POTC series. I'm glad I got the pieces while I did, they did fly off the shelves... I was even lucky enough to find some of the "rarer" (in Marshalls) pieces like Egypt and China. I'm still collecting the series, the pieces are no where to be seen in stores anymore.
The "Easter Bunny" came and brought me that tiki head piece I was looking for... a very close informant (haha) said that it was the last one in a store about an hour away... and it was $10! Very happy camper today.
Hmm maybe I should start looking on ebay for that Hook piece!
Good morning, son
In twenty years from now
Maybe we'll both sit down and have a few beers
And I can tell you 'bout today
And how I picked you up and everything changed
It was pain
Sunny days and rain
I knew you'd feel the same things...
I think those extra slight discounts must have been store specific. We've been out of town for Easter, and I went to a bunch of stores in the city I was in that I had never been to before. Prices were consistent with prices I'd seen around here, and the prices here haven't changed since the last discount.
One store I went in was just plain pathetic. They had tossed all the boxes and COAs, and any of the pieces that came with two parts (ex. Hiawatha with the bunny, Lilo with the Wagon, and Roger Rabbit and his base), they split up and sold each piece individually. So, the rabbit for Hiawatha was gone, as was Roger, and Lilo. But the wagon, Hiawatha, and Roger's base were all still there on "sale" for the price of the full set. One store even tossed the blades to the Old Mill because they didn't notice them in the box. Another store wrote the barcode numbers on the bottom of the figures in bright red ink rather than using price tags.
Needless to say, I didn't buy anything!
Last edited by SorcererDonald16; 04-07-2010 at 03:58 PM.