On the detection of magnetospheric radio bursts from Uranus and Neptune

Earth, Jupiter, and Saturn are sources of intense but sporadic bursts of electromagnetic radiation or magnetospheric radio bursts (MRB). The similarity of the differential power flux spectra of the MRB from all three planets is examined. The intensity of the MRB is scaled for the solar wind power input into a planetary magnetosphere. The possibility of detecting MRB from Uranus and Neptune is considered

Torque equilibrium attitude control for Skylab reentry

All the available torque equilibrium attitudes (most were useless from the standpoint of lack of electrical power) and the equilibrium seeking method are presented, as well as the actual successful application during the 3 weeks prior to Skylab reentry

Low drag attitude control for Skylab orbital lifetime extension

In the fall of 1977 it was determined that Skylab had started to tumble and that the original orbit lifetime predictions were much too optimistic. A decision had to be made whether to accept an early uncontrolled reentry with its inherent risks or try to attempt to control Skylab to a lower drag attitude in the hope that there was enough time to develop a Teleoperator Retrieval System, bring it up on the Space Shuttle and then decide whether to boost Skylab to a higher longer life orbit or to reenter it in a controlled fashion. The end-on-velocity (EOVV) control method is documented, which was successfully applied for about half a year to keep Skylab in a low drag attitude with the aid of the control moment gyros and a minimal expenditure of attitude control gas

On the importance of nonlinear modeling in computer performance prediction

Computers are nonlinear dynamical systems that exhibit complex and sometimes even chaotic behavior. The models used in the computer systems community, however, are linear. This paper is an exploration of that disconnect: when linear models are adequate for predicting computer performance and when they are not. Specifically, we build linear and nonlinear models of the processor load of an Intel i7-based computer as it executes a range of different programs. We then use those models to predict the processor loads forward in time and compare those forecasts to the true continuations of the time seriesComment: Appeared in "Proceedings of the 12th International Symposium on Intelligent Data Analysis

Current driven electrostatic and electromagnetic ion cyclotron instabilities

Growth rates and parameter dependences are calculated for the current driven instabilities of electrostatic (with finite-beta corrections) and electromagnetic ion cyclotron waves. For 0.25 (T sub e)/(T sub i) 2.5, ion cyclotron waves have large growth rates, while ion acoustic waves are still stable. In fusion devices, where electrostatic waves may be stable, electromagnetic ion cyclotron waves are unstable for beta sub i 0.001

A Review on the Evolving Roles of MiRNA-Based Technologies in Diagnosing and Treating Heart Failure

MiRNA-regulated processes are pivotal in cardiovascular homeostasis and disease. These short non-coding RNAs have ideal properties that could be utilized as potential biomarkers; moreover, their functions as post-transcriptional regulators of mRNA make them interesting therapeutic targets. In this review, we summarize the current state of miRNA-based biomarkers in a variety of diseases leading to heart failure, as well as provide an outlook on developing miRNA-based therapies in the heart failure field

Enhancing Scholarly Productivity Among Physical Therapy Faculty through Professional Networks

Purpose Let\u27s build a talented workforce of physical therapy educators with diverse ideas who collaborate on projects and discover new knowledge! Faculty are the educational leaders in physical therapy. With growing demands on workload and time, it is essential to attract talent to academia and provide a supportive team to navigate the path toward a successful career. Scholarly productivity accreditation requirements are challenging, especially for new faculty with primary teaching responsibilities or those without an academic doctoral degree. Evidence suggests that network connections can improve faculty performance, innovation and retention. This study arose from concerns in recent years related to the large number of early career faculty joining physical therapy schools across the country. The purpose of this session is to show how effective professional networks for physical therapy faculty aid in success with scholarly activity. This session will apply key principles of the social capital theory to challenge future educational leaders to carefully examine their professional network connections and the role of these connections in their work-related outcomes. Social capital, marked by trust, reciprocity and cooperation can be acquired via professional network connections. One who has an effective network can leverage their social capital to access information and resources, retain support and cohesion, and attain introductions to new professional contacts from brokers within their network. In higher education, there is also evidence that knowing about the value of professional connections can aid in higher performance and varied collaborations - all important for faculty recruitment, development and retention. Methods and/or Description of Project During this session, we will explore the results of a one-year nationwide study of early career physical therapy faculty and the most effective professional network structure and composition. In addition, participants will have an opportunity to compare components of their own professional network against several existing models among physical therapy educators. There is no perfect network model however knowing about how network connections are built and maintained can help individuals leverage their network knowledge for purposeful advancement in their career path. During this session participants will identify individuals who are important sources of work-related information. We will review information about these network contacts such as gender, academic rank, location of work, and discuss connections among the individuals in the network. This information will be used to illustrate networks via network maps that visualize the connections. Participants will learn about certain elements of their network to better understand and characterize their professional network connections. In addition to the size of one\u27s network, we will discuss interconnectedness (density), homophily (similarity to the faculty member), and heterogeneity (diversity of network characteristics), and what these concepts mean for professional network development. Results/Outcomes Network composition results from over 50 early career PT faculty from 39 different institutions across the country will be shared. We assessed network size and density (connectedness) and six measures of homophily ( characteristics similar to the early career faculty member) and 18 measures of heterogeneity ( diversity). We used univariate analysis and multiple logistic regression to explore how the baseline network structure and composition predicted scholarly activity one year later. The results from this study demonstrated that a more open, less interconnected network was associated with greater quantity and higher-quality scholarly activity, even after controlling for the duration as a faculty member and achievement of an academic doctoral degree. Conclusions/Relevance to the conference theme Key take-aways related to faculty development from this session include: 1) some early career faculty are productively using their network connections, despite the Carnegie Classification of their institution, duration in their faculty job, and earning an academic doctoral degree; 2) the structure of a most effective professional network for scholarly activity is open with low connectedness among contacts; and 3) mentors can guide early career faculty to systematically and strategically modify their network to be more effective and support their scholarly agendas

Dissipation in intercluster plasma

We discuss dissipative processes in strongly gyrotropic, nearly collisionless plasma in clusters of galaxies (ICM). First, we point out that Braginsky theory, which assumes that collisions are more frequent that the system's dynamical time scale, is inapplicable to fast, sub-viscous ICM motion. Most importantly, the electron contribution to collisional magneto-viscosity dominates over that of ions for short-scale Alfvenic motions. Thus, if a turbulent cascade develops in the ICM and propagates down to scales $\leq 1$ kpc, it is damped collisionally not on ions, but on electrons. Second, in high beta plasma of ICM, small variations of the magnetic field strength, of relative value $\sim 1/\beta$, lead to development of anisotropic pressure instabilities (firehose, mirror and cyclotron). Unstable wave modes may provide additional resonant scattering of particles, effectively keeping the plasma in a state of marginal stability. We show that in this case the dissipation rate of a laminar, subsonic, incompressible flows scales as inverse of plasma beta parameter. We discuss application to the problem of ICM heating.Comment: 4 pages, accepted by ApJ Let