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COLUMBUS, Ohio (AP) — Economists say nursing and other health care-related services will continue to grow in Ohio.

The Health Policy Institute of Ohio projects that Texas, California and Ohio will have the greatest need for lvn jobs in orange county ca in the next 10 years because of aging baby boomers. Researchers also expect Ohio to be short 32,000 nurses by 2020.

That’s why nursing is attracting people who are seeking new careers.

Travis Minzler of suburban Columbus quit his all managed care nursing jobs with an auto-supply company in 2008 and enrolled in nursing school last January. The program at Mount Carmel College allows people who already have a degree to get a bachelor of nursing degree in 13 months.

The 41-year-old Minzler says he hopes becoming a nurse will provide more job security.

Groupage providers, who tend to deliver a group of parcels in one load, operate more cheaply and economically than express operators whose primary objective is accelerated delivery.

This reduces costs for large companies who do not necessarily need to rely on courier and express networks for their shipping requirements.

Providing an equally reliable service at a slightly slower transit time, groupage operators have risen to the challenge of competing against express companies by offering comparable options and further driving down prices.

Daniel Parry, Managing Director of Delivery Quote Compare, a price comparison website for shipping, transportation and white cocktail dresses , said: “This is great news for the freight market, increasing healthy competition and providing more choice for end-users.

“We have certainly noticed an increase in visitors to the site, hence a trend in shippers looking for the more economical and cost-effective options, which can be expected in times of tough credit conditions.

“The groupage operators themselves have really upped their game in the last few years, and have done a great job of encouraging new business.”

One such groupage operator, Starlight International Shipping Limited, agree that there has been changes in the market.

Managing Director of Medical spa los angeles John Papworth said: “Whereas before there were a lot of express operators around, there are now much more groupage providers, and recently we have seen an increase in requirements for groupage services.

“I think this is because the economy has forced people to look much more closely at their costs than before.”

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While more older adults than ever are using cell phones and computers, a technology gap still exists that threatens to turn senior citizens into second-class citizens, according to Florida State University researchers.

Neil Charness, the William G. Chase Professor of Psychology, and Walter R. Boot, an assistant professor of psychology, found that both the attitudes and abilities of older adults pose barriers to adopting new forms of technology and urged designers to consider those barriers when developing new products. Charness and Boot will publish a review of the research on the topic in Current Directions in Psychological Science.

“The technology gap is a problem because technology, particularly computer and Internet technology, is becoming ubiquitous, and full participation in society becomes more difficult for those without such access,” said Charness, who along with Boot received a $1.5 million, five-year subcontract from a National Institute of Aging grant to support the Center for Research and Education on Aging and Technology Enhancement (CREATE). Established a decade ago, the center is comprised of researchers at FSU, the University of Miami and the Georgia Institute of Technology, who study ways to increase technology use in order to promote cognition and health in older Americans.

From booking airline tickets to seeking health care information, almost everything is easier, cheaper or faster online. Older adults who may be less mobile in particular stand to benefit from innovations such as online banking. But there is a sharp decline in Internet use after age 65, the researchers said, citing a 2007 Pew Tracking Survey that showed 85 percent of adults in 18-24, 25-34 and 35-44 age groups used the Internet. By contrast, only 39 percent of adults between 65 and 74, and 24 percent of adults between 75 and 84 were Internet users.

Declining cognitive processes, decreased memory capacity and difficulty maintaining attention — all part of the normal aging process — can make it difficult for seniors to learn new skills. In fact, Charness said, it takes older adults roughly twice as long as younger people to learn a new word processor under self-paced learning conditions. That’s true even for older adults who have prior experience with another word processor.

The extra time and effort required to learn a new skill are among the reasons why older adults are generally less motivated than younger people to learn new skills — particularly if they decide that the potential benefits of the new technology are not worth it. In addition, seniors may make a greater number of errors as they interact with technology that was not designed with their capabilities in mind.

Seniors quite literally perceive new technology differently than younger adults do. Changes in acuity, color perception and susceptibility to glare affect the way they see a computer screen. They also have greater difficulty with fine motor control and coordination. However, knowing these constraints, designers can create better products for older adults, the researchers said. Among their suggestions:

* Create cell phones with simplified menus, large fonts and buttons and external noise reduction.
* Design Web sites with high contrast backgrounds and text, larger fonts and minimal scrolling. The sites should provide navigation aids and instructional support.

Computer games — such as Nintendo’s Brain Age — and software packages that have been developed for and marketed to older adults may also help reverse age-related declines in perceptual and cognitive abilities, the researchers said.

“There is limited but encouraging evidence that these so-called brain fitness software packages make a difference in improving some basic skills, but so far there is little evidence that they improve older adults’ quality of life or ability to live independently,” Boot said. “That should be the measure of success in evaluating these programs.”

Although the technology gap between younger and older adults is expected to lessen over time as more adults “grow up” with computers, the problem will not disappear in future generations, the researchers said. That’s because technology will undoubtedly continue to advance rapidly, and age-related declines in cognitive, perceptual and psychomotor skills will make it more difficult for seniors to keep up with the changes.

Don’t believe it? Consider that today’s seniors grew up with telephones, and yet they have been much slower to adapt to using cell phones. Still, those over 65 are more likely to use a cell phone — 46 percent of them do — than use the Internet.

Computer scientists from Nanyang Technological University in Singapore and Autism Society of America are working on the development of an efficient and intelligent facial expression recognition system. The system is capable of locating the face region using derivative-based filtering and recognizing facial expressions using boosting classifier. The portable device is being developed to help autistic children understand the emotions of surrounding people.

A paper detailing the specifics of the device will be published in the journal Intelligent Decision Technologies.

Teik-Toe Teoh, Yok-Yen Nguwi and Siu-Yeung Cho of the Centre for Computational Intelligence of the School of Computer Engineering of Nanyang Technological University state that “emotion is a state of feeling involving thoughts, physiological changes, and an outward expression. In this paper, we propose a system that synergizes the use of derivative filtering and boosting classifier. ”

The portable facial expression recognizer locates the edge of the human face through Gaussian derivatives, Laplacian derivatives and filter out non-face images using Adaboost. Secondly, the feature locator finds crucial fiducial points for subsequent feature extraction and selection processing. Finally, the meaningful features are classified into the corresponding classes.