Real-time Aerial Magnetic and Vision-aided Navigation

Aerial magnetic navigation has shown to be a viable alternative navigation method that has the potential for world-wide availability, to include over oceans. Obtaining GPS-level accuracy using magnetic navigation alone is challenging, but magnetic navigation can be combined with other alternative navigation methods that are more posed to obtaining GPS-level accuracy in their current state. This research presents an aerial navigation solution combining magnetic navigation and vision-aided navigation to aid an inertial navigation system (INS). The navigation solution was demonstrated in real-time playback using simulated magnetic field measurements and flight-test captured visual imagery. Additionally, the navigation solution was flight-tested on a USAF F-16 to demonstrate magnetic navigation in the challenging magnetic environment seen on operationally representative dynamic platforms

Dull Disasters? How planning ahead will make a difference

Economic losses from disasters are now reaching an average of US$250–$300 billion a year. In the last 20 years, more than 530,000 people died as a direct result of extreme weather events; millions more were seriously injured. Most of the deaths and serious injuries were in developing countries. Meanwhile, highly infectious diseases will continue to emerge or re-emerge, and natural hazards will not disappear. But these extreme events do not need to turn into large-scale disasters. Better and faster responses are possible. The authors contend that even though there is much generosity in the world to support the responses to and recovery from natural disasters, the current funding model, based on mobilizing financial resources after disasters take place, is flawed and makes responses late, fragmented, unreliable, and poorly targeted, while providing poor incentives for preparedness or risk reduction. The way forward centres around reforming the funding model for disasters, moving towards plans with simple rules for early action and that are locked in before disasters through credible funding strategies—all while resisting the allure of post-disaster discretionary funding and the threat it poses for those seeking to ensure that disasters have a less severe impact

Synthesis of satellite (MODIS), aircraft (ICARTT), and surface (IMPROVE, EPA-AQS, AERONET) aerosol observations over eastern North America to improve MODIS aerosol retrievals and constrain surface aerosol concentrations and sources

We use an ensemble of satellite (MODIS), aircraft, and ground-based aerosol observations during the ICARTT field campaign over eastern North America in summer 2004 to (1) examine the consistency between different aerosol measurements, (2) evaluate a new retrieval of aerosol optical depths (AODs) and inferred surface aerosol concentrations (PM2.5) from the MODIS satellite instrument, and (3) apply this collective information to improve our understanding of aerosol sources. The GEOS-Chem global chemical transport model (CTM) provides a transfer platform between the different data sets, allowing us to evaluate the consistency between different aerosol parameters observed at different times and locations. We use an improved MODIS AOD retrieval based on locally derived visible surface reflectances and aerosol properties calculated from GEOS-Chem. Use of GEOS-Chem aerosol optical properties in the MODIS retrieval not only results in an improved AOD product but also allows quantitative evaluation of model aerosol mass from the comparison of simulated and observed AODs. The aircraft measurements show narrower aerosol size distributions than those usually assumed in models, and this has important implications for AOD retrievals. Our MODIS AOD retrieval compares well to the ground-based AERONET data (R = 0.84, slope = 1.02), significantly improving on the MODIS c005 operational product. Inference of surface PM2.5 from our MODIS AOD retrieval shows good correlation to the EPA-AQS data (R = 0.78) but a high regression slope (slope = 1.48). The high slope is seen in all AOD-inferred PM2.5 concentrations (AERONET: slope = 2.04; MODIS c005: slope = 1.51) and could reflect a clear-sky bias in the AOD observations. The ensemble of MODIS, aircraft, and surface data are consistent in pointing to a model overestimate of sulfate in the mid-Atlantic and an underestimate of organic and dust aerosol in the southeastern United States. The sulfate overestimate could reflect an excessive contribution from aqueous-phase production in clouds, while the organic carbon underestimate could possibly be resolved by a new secondary pathway involving dicarbonyls

COMPARING TIBIAL ACCELERATIONS BETWEEN DELIVERY AND FOLLOW-THROUGH FOOT STRIKES IN CRICKET FAST BOWLING

The kinematics of the fast bowling follow-through are often reported, yet the follow-through is unassessed. This study compared magnitudes of tibial accelerations across the delivery and follow-through foot strikes in fast bowlers. Fifteen sub-elite male fast bowlers performed 24 deliveries during training. Tibial accelerations were measured using tibial-mounted inertial measurement units. Peak tibial acceleration magnitudes were recorded at the foot contacts of the delivery and follow-through strides. A linear mixed model showed statistical significance between foot strike events (p \u3c .001) with the greatest magnitude of tibial acceleration occurring at back foot re-contact. The tibial acceleration peak reported at back foot re-contact may have implications for load quantification and injury risk, therefore representing an important avenue for future fast bowling research

Getting More from Less in Defined Benefit Plans: Three Levers for a Low-Return World

As global interest rates hover near historic lows, defined benefit pension plan sponsors must grapple with the prospect of lower investment returns. This paper examines three levers that can enhance portfolio outcomes in a low-return world. The levers include: increased contributions; reduced investment costs; and increased portfolio risk. We use portfolio simulations based on a stochastic asset class forecasting model to evaluate each lever according to two criteria—its magnitude of impact and the certainty that this impact will be realized. Our analysis indicates that increased contributions have the greatest and most certain impact. Reduced costs have a more modest, but equally certain impact. Increased risk can deliver a significant impact, but with the least certainty

Digital mammography, cancer screening: Factors important for image compression

The use of digital mammography for breast cancer screening poses several novel problems such as development of digital sensors, computer assisted diagnosis (CAD) methods for image noise suppression, enhancement, and pattern recognition, compression algorithms for image storage, transmission, and remote diagnosis. X-ray digital mammography using novel direct digital detection schemes or film digitizers results in large data sets and, therefore, image compression methods will play a significant role in the image processing and analysis by CAD techniques. In view of the extensive compression required, the relative merit of 'virtually lossless' versus lossy methods should be determined. A brief overview is presented here of the developments of digital sensors, CAD, and compression methods currently proposed and tested for mammography. The objective of the NCI/NASA Working Group on Digital Mammography is to stimulate the interest of the image processing and compression scientific community for this medical application and identify possible dual use technologies within the NASA centers

Stem–loop binding protein expressed in growing oocytes is required for accumulation of mRNAs encoding histones H3 and H4 and for early embryonic development in the mouse

AbstractGrowing oocytes accumulate mRNAs and proteins that support early embryogenesis. Among the most abundant of these maternal factors are the histones. Histone mRNA accumulation and translation are mainly restricted to S-phase in somatic cells, and the mechanism by which oocytes produce histones is unknown. In somatic cells, replication-dependent histone synthesis requires the stem–loop binding protein (SLBP). SLBP is expressed during S-phase, binds to the 3′-untranslated region of non-polyadenylated transcripts encoding the histones, and is required for their stabilization and translation. SLBP is expressed in oocytes of several species, suggesting a role in histone synthesis. To test this, we generated transgenic mice whose oocytes lack SLBP. mRNAs encoding histones H3 and H4 failed to accumulate in these oocytes. Unexpectedly, mRNAs encoding H2A and H2B were little affected. Embryos derived from SLBP-depleted oocytes reached the 2-cell stage, but most then became arrested. Histones H3 and H4, but not H2A or H2B, were substantially reduced in these embryos. The embryos also expressed high levels of γH2A.X. Injection of histones into SLBP-depleted embryos rescued them from developmental arrest. Thus, SLBP is an essential component of the mechanism by which growing oocytes of the mouse accumulate the histones that support early embryonic development

Electrochemically Switchable Multimode Strong Coupling in Plasmonic Nanocavities

The strong-coupling interaction between quantum emitters and cavities provides the archetypical platform for fundamental quantum electrodynamics. Here we show that methylene blue (MB) molecules interact coherently with subwavelength plasmonic nanocavity modes at room temperature. Experimental results show that the strong coupling can be switched on and off reversibly when MB molecules undergo redox reactions which transform them to leuco-methylene blue molecules. In simulations we demonstrate the strong coupling between the second excited plasmonic cavity mode and resonant emitters. However, we also show that other detuned modes simultaneously couple efficiently to the molecular transitions, creating unusual cascades of mode spectral shifts and polariton formation. This is possible due to the relatively large plasmonic particle size resulting in reduced mode splittings. The results open significant potential for device applications utilizing active control of strong coupling

Matrix-seeded growth of nitride semiconductor nanostructures using ion beams

We have examined the matrix-seeded growth of narrow-gap nitride nanostructures in nitrogen ion implanted GaAs and InAs. Low-energy implantation followed by rapid thermal annealing (RTA) results in the formation of 2–3 nm sized amorphous precipitates in a crystalline matrix. On the other hand, high-energy implantation results in an amorphous layer, with or without crystalline remnants. When the ion-beam-synthesized amorphous matrix is a continuous amorphous layer, subsequent RTA leads to the formation of 4–5 nm zinc blende (ZB)-GaN-rich crystallites in an amorphous matrix. When this matrix contains crystalline remnants, subsequent RTA leads to the formation of 2–4 nm ZB-GaN-rich crystallites within the amorphous regions. These results suggest that the matrix plays an important role in the nucleation and growth of narrow-gap nitride nanostructures, and that matrix-seeded growth may provide an opportunity to control the structure and properties of the nanostructures.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87633/2/064301_1.pd