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News Article | May 6, 2017

WASHINGTON, May 6, 2017 /PRNewswire-USNewswire/ -- Following is the daily "Profile America" feature from the U.S. Census Bureau: CAREGIVING Profile America — Saturday, May 6th. This is National Nurses Day, the start of National Nurses Week. It's an occasion established to honor...

A wireless sound-emitting device includes a housing adapted to be coupled to a wall at a source of electric power, a loudspeaker positioned at a periphery of the housing, a control module outputting an electric audio signal to the at least one loudspeaker, and a wireless communications module in electrical communication with the control module. The loudspeaker emits acoustic signals in a direction parallel to the wall, when the housing is coupled to the wall, with the acoustic signals reflecting off the wall. The device may produce a sound masking noise or play a sound recorded on an internal memory. The device may include an electric plug or be adapted to replace an electric outlet faceplate. The device may have electric pass-through outlets and may be powered by the source of electric power. The device may be controlled remotely, for example via an Internet of Things (IoT) platform.

News Article | June 2, 2017

Nightingale College announces the achievement of initial accreditation of the baccalaureate degree program by the Commission of Collegiate Nursing Education (CCNE) through June 30, 2022. The RN-to-BSN program at Nightingale College began in September 2014 to prepare nurses to lead the everchanging health care landscape. Nurses form the largest segment of health care staff employed in facilities and are the main deliverer of patient care. At the forefront of health care, nurses are taught to address a variety of patient needs in diverse settings. “The BSN nurse enters the profession having acquired knowledge, skills and attitudes, to improve the safety and quality of patient care,” said Dr. Suzette Scheuermann, Director, Nursing Education Services at Nightingale College. To improve patient care and in response to the Institute of Medicine (IOM) Future of Nursing 2010 study, Nightingale College’s RN-to-BSN program is now available to all registered nurses in Utah, Idaho, and Wyoming. “This has always been a part of our mission and is our answer to IOM’s committee recommendation that 80 percent of nurses have baccalaureate degrees by 2020,” said Jonathan Tanner, Vice President, Partnerships and Business Development. “With patient care growing increasingly complex and requiring skill sets beyond the hospital, the demand for baccalaureate prepared nurses will be escalated. Nightingale College provides high quality nurse preparation in programs which produce effective and sophisticated clinicians to meet this increasing demand,” said Scheuermann. Nightingale College celebrates the accreditation of the baccalaureate degree program as an integral step to fulfilling its mission, contributing to the elevation of health care in all communities. “This is monumental for the communities we serve and while we celebrate this achievement, it is only the beginning. We will develop a Generic BSN track for those students that want to move straight to a BSN degree. We anticipate this option being available by January 2018. In the meantime, we are elated to offer the ADN and RN-to-BSN programs,” said Tanner. With two fully accredited distance education programs, Nightingale College continues to serve communities in Utah, Idaho, and Wyoming. ABOUT NIGHTINGALE COLLEGE Nightingale College creates avenues to accessible nursing programs with its fully accredited distance education associate and bachelor’s degree nursing programs. Supporting the growing need for nurses and providing strategies to combat the nursing shortage, the College’s programs work to not only grow but maintain homegrown nurses with the help of local health care systems. Nightingale College emphasizes graduating future nurses who are confident, competent, and compassionate, ready to work in their community. Since its establishment in 2010 in Ogden, Utah, the College has graduated nurses in Utah, Idaho, and Wyoming. To learn more about the College, its mission, and programs, visit

Nightingale | Date: 2015-10-22

Among other things, a system for lighting a light for an individual rising from a bed is provided. In particular embodiments, the system can include a mat and a light unit wirelessly connected, so that when an individual steps on the mat as he or she rises from the bed a signal is sent to the light unit, activating the light. A weight sensor in the mat can measure the weight placed on the mat, so that unintentional lighting can be avoided and so that weight information can be recorded. Embodiments can also include a signal transmitter to send weight and activation information to a remote receiver.

BOSTON--(BUSINESS WIRE)--Cambridge Sound Management Inc., creator of Nightingale, the world’s first smart home sleep system, today announced the results of a clinical sleep study performed by Harvard Medical School and Brigham and Women’s Hospital, which show Nightingale significantly reduces sleep onset latency (the time it takes to transition from full wakefulness to sleep). Nightingale helped participants fall asleep 38% faster than when they tried to fall asleep without Nightingale. The outcome of sleeping with Nightingale was comparable to taking an above average dose of prescription sleep medication. Nightingale is designed to help mask common disruptive indoor and outdoor noises, resulting in a better night’s sleep for the user. The system uses proprietary sound curves to blanket a bedroom in soothing ambient sounds, called sound blankets, optimized for each user’s room acoustics as determined through the Nightingale Sound app. Nightingale can account for health conditions like tinnitus or noises like snoring in an adjacent room. The system is controlled via the iOS/Android app, Bluetooth or Andrew Wellman, MD, PhD, Director of the Sleep Disordered Breathing Laboratory at Brigham and Women’s Hospital, said: “This clinical trial studied the effects of ambient noise in a model of transient insomnia in a group of healthy subjects. The results suggest that sound blankets may be an effective way to minimize sleep onset insomnia in patients.” Christopher Calisi, CEO of Cambridge Sound Management, said: “These results are a positive indication of what we already suspected - that Nightingale’s proprietary sound curves can help lull people to sleep faster than sleeping without this sound masking technology. Nightingale is unlike any other sleep product on the market, and we’re pleased the benefits are now supported by a clinical study.” The results of the full study will be presented by the Harvard Medical School and Brigham and Women’s Hospital research team at the 2017 SLEEP Annual Meeting on June 4, 2017 in Boston. The study abstract is available now at About Nightingale Nightingale, the world’s first smart home sleep system, is the most advanced and effective sleep product on the market and was created by the acoustic experts and audio engineers at Cambridge Sound Management, the industry leader in commercial sound masking. Nightingale is a sleek, dual-unit speaker system users plug into outlets that immerses a room in ambient sound via perfectly tuned sound blankets to help them fall asleep faster and stay asleep longer. The system is compatible with iOS and Android, integrates with smart home products like Hue, Google Home, Nest and Ring via IFTTT, and can be controlled by Amazon Echo. One in four Americans don’t get enough sleep, a problem that can result in a variety of health conditions and loss of productivity. Nightingale was created to help every customer get a better night’s sleep, every night. To learn more, visit

Murphy J.A.,Nightingale | Milner T.D.,Royal Surrey County Hospital NHS Foundation Trust | O'Donoghue J.M.,Royal Infirmary
The Lancet Oncology | Year: 2013

Recent studies have shown that the number of women undergoing risk-reducing mastectomy has increased rapidly in the USA in the past 15 years. Although a small rise in the number of bilateral risk-reducing procedures has been noted in high-risk gene mutation carriers who have never had breast cancer, this number does not account for the overall increase in procedures undertaken. In patients who have been treated for a primary cancer and are judged to be at high risk of a contralateral breast cancer, contralateral risk-reducing mastectomy is often, but not universally, indicated. However, many patients undergoing contralateral risk-reducing mastectomy might not be categorised as high risk and therefore any potential benefit from this procedure is unproven. At a time when breast-conserving surgery has become more widely used, this sharp increase in contralateral risk-reducing mastectomy is surprising. We have reviewed the literature in an attempt to establish what is driving the increase in this procedure in moderate-to-low-risk populations and to assess its justification in terms of risk-benefit analysis. © 2013 Elsevier Ltd.

Berent I.,Nightingale
Trends in Cognitive Sciences | Year: 2013

Humans weave phonological patterns instinctively. We form phonological patterns at birth, we spontaneously generate them de novo, and we impose phonological design on both our linguistic communication and cultural technologies-reading and writing. Why are humans compelled to generate phonological patterns? Why are phonological patterns intimately grounded in their sensorimotor channels (speech or gesture) while remaining partly amodal and fully productive? And why does phonology shape natural communication and cultural inventions alike? Here, I suggest these properties emanate from the architecture of the phonological mind, an algebraic system of core knowledge. I evaluate this hypothesis in light of linguistic evidence, behavioral studies, and comparative animal research that gauges the design of the phonological mind and its productivity. © 2013 Elsevier Ltd.

A method for locating the centre of a beam profile, comprises the steps of: providing a beam profile; selecting one or more strips through the beam profile; identifying distinct regions of intensity along the one or more strips and labelling them consistently; calculating a combined average intensity for each labelled region, using data from the one or more strips; plotting the average intensity against the labelled regions and comparing the results with a plot of the actual intensity obtained by taking a cross-section through the centre of at least one of the one or more strips; and optimising the location of the centre of at least one of the one or more strips so as to obtain the best fit between the average intensity plot and the actual intensity plot to thereby identify the centre of the beam profile.

Nightingale | Date: 2016-03-11

An automated drone security system for surveilling a location includes one or more drones with onboard sensors and an imaging device for measuring surveillance data. The surveillance data may include images, telemetry data, infrared data, or other detectable information of the location. Drones may be capable of executing one or multiple flight operations as well as storing and transmitting the surveillance data to a server assembly operable for coordinating the drone and receiving the surveillance data. A drone dock may be included for drone launching, landing, and/or storing the drones. A user computing device may be in communication with the server assembly and the drone(s), the user computing device being capable of receiving user input and displaying surveillance data from the drone. Flight operations associated with surveilling the location may be automatically and/or manually controlled by the user computing device and/or or the server assembly in connection with the location.

A method of compensating for sample misalignment in an optical measurement apparatus (40), comprises the steps of: determining an expected response from a detector (58) in said optical measurement apparatus given a particular set of parameters defining a path that light can take through the optical measurement apparatus from a source (42), via a sample (50), to the detector (58); measuring a response from the detector for the sample under test; and refining the set of parameters until the expected response and the measured response converge so as to determine the set of parameters giving rise to the measured response.

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