Service level agreement framework for differentiated survivability in GMPLS-based IP-over-optical networks

In the next generation optical internet, GMPLS based IP-over-optical networks, ISPs will be required to support a wide variety of applications each having their own requirements. These requirements are contracted by means of the SLA. This paper describes a recovery framework that may be included in the SLA contract between ISP and customers in order to provide the required level of survivability. A key concern with such a recovery framework is how to present the different survivability alternatives including recovery techniques, failure scenario and layered integration into a transparent manner for customers. In this paper, two issues are investigated. First, the performance of the recovery framework when applying a proposed mapping procedure as an admission control mechanism in the edge router considering a smart-edge simple-core GMPLS-based IP/WDM network is considered. The second issue pertains to the performance of a pre-allocated restoration and its ability to provide protected connections under different failure scenarios

Bellrock: Anonymous Proximity Beacons from Personal Devices

Proximity beacons provide simple, low-cost location data. However, beacon deployments remain rare. In this paper we introduce Bellrock, a framework that repurposes static personal devices (phones, laptops, etc.) as proximity beacons without revealing the location of the device owners, and provides conventional beacons with access control. This is done by using mutable pseudo-anonymous identifiers that can be unmasked by a cloud service. We develop Bellrock as a general framework, describing the repurposing scheme and the anonymisation techniques, before applying it to Bluetooth Low Energy beacons. We implement and demonstrate the scalability of the de-anonymisation server, which uses a series of heuristics. We implement a Bellrock client on Android and demonstrate negligible impact on battery lifetime. We evaluate Bellrock using extensive real-world office worker movements. We find that Bellrock was able to provide proximity locations for 8,542 of the 21,796 failed locations that would have occurred without it. We further find that office workers were in range of one or more of their co-workers over 90\% of the time, indicating Bellrock can provide relative proximity information even in the absence of a conventional beacon deployment. Overall, we find that Bellrock is both feasible and practical, providing a beacon deployment where there was none, or supplementing existing deployments

Performance Characterization of the Low-Power Halo Electric Propulsion System

Performance measurements have been obtained of a novel propulsion concept called the Halo thruster under development within the University of Surrey. The Halo thruster, a type of cusped-field thruster with close similarity to the cylindrical Hall thruster, is motivated by the need for low-power and low-cost electric propulsion for the small satellite sector. Two versions of the device are investigated in this study: a design using permanent magnets at high magnetic-field strength and a design using electromagnets with moderate field strength. While operating at 200 W discharge power, which is of particular interest to power-limited small satellite platforms, the permanent-magnet design achieved a maximum thrust efficiency of 8% at a specific impulse of approximately 900 s using a krypton propellant. By comparison, the electromagnet design achieved a maximum thrust efficiency of 28% at a specific impulse of approximately 1500 s at 200 W using a xenon propellant. For higher levels of power (tested up to 800 W), the performance of the electromagnetic design saturated at approximately 25% thrust efficiency using krypton and 30% using xenon. The thrust efficiency of the permanent-magnet design appeared to increase monotonically up to 600 W reaching a maximum value of 14%

Using Bibliometric Big Data to Analyze Faculty Research Productivity in Health Policy and Management

Bibliometric big data and social media tools provide new opportunities to aggregate and analyze researchers' scholarly impact. The purpose of the current paper is to describe the process and results we obtained after aggregating a list of public Google Scholar profiles representing researchers in Health Policy and Management or closely-related disciplines. We extracted publication and citation data on 191 researchers affiliated with health administration programs in the U.S. With these data, we created a publicly available listing of faculty that includes each person's name, affiliation, year of first citation, total citations, h-index, and i-10 index. The median of total citations per individual faculty member was 700, while the maximum was 46,363. The median h-index was 13, while the maximum was 91. We plan to update these statistics and add new faculty to our public listing as new Google Scholar profiles are created by faculty members in the field. This listing provides a resource for students and faculty in our discipline to easily compare productivity and publication records of faculty members in their own and other departments. Similarly, this listing provides a resource for faculty, including department chairs and deans, who desire discipline-specific context for promotion and tenure processes

Designing a Personalized Health Risk Communication Website to Motivate User Attention and Systematic Processing

A web-based diabetes “risk calculator” is being developed and evaluated to determine the impact of personalized risk estimates and interactive feedback on user attention and systematic information processing. Preliminary experiments that randomized participants to two different health websites suggested that a risk calculator with personalized risk estimates did not increase (and may have decreased) systematic processing, focused immersion and information seeking. We describe a series of think aloud user studies which were conducted to provide a qualitative evaluation of the experimental protocol and explore alternate explanations for these unexpected findings. User study results suggested that the prior findings may have been driven by a lack of perceived novelty of the risk information, selective attention, and an expectation of personalization in both experimental conditions. Findings are consistent with satisficing in information search and have implications for the design of health information and future experiments that evaluate these types of interventions

Not only teachers: What do health administration faculty members do?

Researchers have long been interested in how university faculty allocate their time between professional tasks. This study uses multiple years of Health Administration (HA) faculty survey data to examine how work activity has changed over time, and how work activity relates to faculty rank and the type of school in which a faculty member is employed. We report on faculty time allocation to research, teaching, and administration by survey year, faculty rank, and type of school. We also examine factors related to faculty's status as a principal investigator, teaching load, and research funding. On average, HA faculty spent 43% of their time teaching, 31% doing research, 20% in administrative activities, and 5% in other activities. Full professors spent significantly less time teaching, had lighter teaching loads, and spent more time on administration than other faculty. Faculty in schools of health professions, business, and other schools spent more time in teaching and had lower research funding expectations than faculty in schools of public health and medicine. These findings may help faculty identify jobs that best align with their interests and benchmark their work against industry norms. These findings may also help administrators in HA programs set appropriate expectations for their faculty

Electronic Health Record Availability and Anxiety Treatment in Office Based Practices

Objective: This study compared the probability of receiving anxiety treatment during a physician visit to primary care practices with and without an electronic health record (EHR). Methods: The 2007–2010 National Ambulatory Medical Care Survey was used to identify visits for anxiety (N=290). The outcome was receipt of anxiety treatment. The independent variable was the presence of a fully functioning EHR. Logistic regression was used to conduct the analysis. Results: Patients who were seen in practices with a fully functioning EHR had lower odds of being offered antianxiety medication (adjusted odds ratio [AOR]=.37, 95% confidence interval [CI]=.15–.90, p=.028), mental health counseling (AOR=.43, CI=.18–1.04, p=.061), and any anxiety treatment (AOR=.40, CI=.15–1.05, p=.062) compared with patients at practices without a fully functioning EHR. Conclusions: EHRs may have a negative impact on the delivery of care for anxiety during primary care visits. Future studies should monitor the impact of EHRs on delivery and quality of care

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study

Background: Mobile health apps related to maternal and infant health (MIH) are prevalent and frequently used. Some of these apps are extremely popular and have been downloaded over 5 million times. However, the understanding of user behavior and user adoption of these apps based on consumer preferences for different app features and categories is limited. Objective: This study aimed to examine the relationship between MIH app characteristics and users’ perceived satisfaction and intent to use. Methods: The associations between app characteristics, ratings, and downloads were assessed in a sample of MIH apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. Multivariable linear regression was used to assess the relationship between app characteristics and user ratings, and ordinal logistic regression was used to assess the relationship between app characteristics and user downloads. Results: The analyses of user ratings and downloads included 421 and 213 apps, respectively. The average user rating was 3.79 out of 5. Compared with the Apple App Store, the Google Play Store was associated with high user ratings (beta=.33; P =.005). Apps with higher standardized user ratings (beta=.80; P <.001), in-app purchases (beta=1.12; P =.002), and in-app advertisements (beta=.64; P =.02) were more frequently downloaded. Having a health care organization developer as part of the development team was neither associated with user ratings (beta=−.20; P =.06) nor downloads (beta=−.14; P =.63). Conclusions: A majority of MIH apps are developed by non–health care organizations, which could raise concern about the accuracy and trustworthiness of in-app information. These findings could benefit app developers in designing better apps and could help inform marketing and development strategies. Further work is needed to evaluate the clinical accuracy of information provided within the apps. [JMIR Mhealth Uhealth 2020;8(1):e15663