8,722 research outputs found
Detection of Far Infrared Emission from Galaxies and Quasars in the Galactic Extinction Map by Stacking Analysis
We have performed stacking image analyses of galaxies over the Galactic
extinction map constructed by Schlegel, Finkbeiner & Davis (1998). We select
~10^7 galaxies in total from the Sloan Digital Sky Survey (SDSS) DR7
photometric catalog. We detect clear signatures of the enhancement of the
extinction in r-band, , around galaxies, indicating that the
extinction map is contaminated by their FIR (far infrared) emission. The
average amplitude of the contamination per galaxy is well fitted to [mmag]. While this value is very
small, it is directly associated with galaxies and may have a systematic effect
on galaxy statistics. Indeed this correlated contamination leads to a
relatively large anomaly of galaxy surface number densities against the SFD
extinction A_SFD discovered by Yahata et al. (2007). We model the radial
profiles of stacked galaxy images, and find that the FIR signal around each
galaxy does not originate from the central galaxy alone, but is dominated by
the contributions of nearby galaxies via galaxy angular clustering. The
separation of the single galaxy and the clustering terms enables us to infer
the statistical relation of the FIR and r-band fluxes of galaxies and also to
probe the flux-weighted cross-correlation of galaxies, down to the magnitudes
that are difficult to probe directly for individual objects. We repeat the same
stacking analysis for SDSS DR6 photometric quasars and discovered the similar
signatures but with weaker amplitudes. The implications of the present results
for galaxy and quasar statistics and for correction to the Galactic extinction
map are briefly discussed.Comment: 11 pages, 19 figures, PASJ, 2013, vol65, No.3, in pres
High-order volterra model predictive control and its application to a nonlinear polymerisation process
Model Predictive Control (MPC) has recently found wide acceptance in the process industry, but the existing design and implementation methods are restricted to linear process models. A chemical process involves, however, severe nonlinearity which cannot be ignored in practice. This paper aims to solve this nonlinear control problem by extending MPC to nonlinear models. It develops an analytical framework for nonlinear model predictive control (NMPC), and also offers a third-order Volterra series based nonparametric nonlinear modelling technique for NMPC design which relieves practising engineers from the need for first deriving a physical-principles based model. An on-line realisation technique for implementing the NMPC is also developed. The NMPC is then applied to a Mitsubishi Chemicals polymerisation reaction process. The results show that this nonlinear MPC technique is feasible and very effective. It considerably outperforms linear and low-order Volterra model based methods. The advantages of the approach developed lie not only in control performance superior to existing NMPC methods, but also in relieving practising engineers from the need for deriving an analytical model and then converting it to a Volterra model through which the model can only be obtained up to the second order
Changes in Serum Haptoglobin and Group Specific Component after Orthotopic Liver Homotransplantation in Humans
In human recipients of orthotopic liver homografts with different haptoglobin (Hp) and group specific component (Gc) types than their respective donors, the donor phenotype permanently replaced that previously present. The findings prove that the liver is the sole source of Hp and Gc, and that it retains its metabolic specificity after transplantation to a new host. © 1968, SAGE Publications. All rights reserved
LIVER TRANSPLANTATION FOR TYPE I GLYCOGEN STORAGE DISEASE
A 16œ-year-old girl with type I glycogen storage disease was treated by orthotopic liver transplantation under cyclosporin/steroid immunosuppression. All metabolic stigmata of the disease were relieved and 1 year postoperatively she follows a normal diet and lifestyle
Changes in Sexuality of Castration-Resistant Prostate Cancer Patients Under Hormone Therapy in Japan: a Case Study
Background: Hormone therapy is an important treatment for male patients with prostate cancer. However, it can produce changes in the genitalia and sexuality of the patients. Purpose: This study aimed to investigate the relations between changes in male genitalia and sexuality in the castration-resistant prostate cancer patients. It also proposed concrete interventions to ease pain and fear towards body image changes. Methods: This study used a descriptive qualitative design. The subjects were two castration-resistant prostate cancer patients undergoing chemotherapy and endocrine therapy. The data were collected through semi-structured interviews and analyzed using verbatim reports and content analysis. Results: The study indicated that the effects of hormone therapy treatment on the sexuality were largely categorized as: âsurprises and anxieties about the shrinkage of male genitaliaâ, âmasculinity lossâ, âdifficulty adapting the situationâ, and âconnection with othersâ. Conclusion: It became clear that the prostate cancer patients had pains not only for prognosis, but also for physical changes, relationship changes with others and sexuality changes through their treatments
Time-optimal rendezvous for elliptic orbits
Time optimal rendezvous trajectories for variable thrust intercepting and orbiting space vehicle
Expert systems applied to spacecraft fire safety
Expert systems are problem-solving programs that combine a knowledge base and a reasoning mechanism to simulate a human expert. The development of an expert system to manage fire safety in spacecraft, in particular the NASA Space Station Freedom, is difficult but clearly advantageous in the long-term. Some needs in low-gravity flammability characteristics, ventilating-flow effects, fire detection, fire extinguishment, and decision models, all necessary to establish the knowledge base for an expert system, are discussed
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