21,766 research outputs found
Considerations about effective dissemination of improved fish strains
Aquaculture production systems in developing countries are largely based on the use of unimproved species and strains. As knowledge and experience are accumulated in relation to the management, feeding and animal health issues of such production systems, the availability of genetically more productive stock becomes imperative in order to more effectively use resources. For instance, there is little point in providing ideal water conditions and optimum feed quality to fish that do not have the potential to grow faster and to be harvested on time, providing a product of the desired quality. Refinements in the production system and improvement of the stock used must progress hand in hand. In this paper we deal separately with genetic and non-genetic issues pertaining to the multiplication and dissemination of improved strains. The separation is somewhat arbitrary, and as will be evident from our discussion, there is frequent interaction between the two
Functional Genomics Profiling of Bladder Urothelial Carcinoma MicroRNAome as a Potential Biomarker.
Though bladder urothelial carcinoma is the most common form of bladder cancer, advances in its diagnosis and treatment have been modest in the past few decades. To evaluate miRNAs as putative disease markers for bladder urothelial carcinoma, this study develops a process to identify dysregulated miRNAs in cancer patients and potentially stratify patients based on the association of their microRNAome phenotype to genomic alterations. Using RNA sequencing data for 409 patients from the Cancer Genome Atlas, we examined miRNA differential expression between cancer and normal tissues and associated differentially expressed miRNAs with patient survival and clinical variables. We then correlated miRNA expressions with genomic alterations using the Wilcoxon test and REVEALER. We found a panel of six miRNAs dysregulated in bladder cancer and exhibited correlations to patient survival. We also performed differential expression analysis and clinical variable correlations to identify miRNAs associated with tobacco smoking, the most important risk factor for bladder cancer. Two miRNAs, miR-323a and miR-431, were differentially expressed in smoking patients compared to nonsmoking patients and were associated with primary tumor size. Functional studies of these miRNAs and the genomic features we identified for potential stratification may reveal underlying mechanisms of bladder cancer carcinogenesis and further diagnosis and treatment methods for urothelial bladder carcinoma
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Developing a Mobile Learning Environment: An Axiomatic Approach
A new mobile environment for learning has been designed via an axiomatic approach. And by simultaneously designing both tools (software) and processes (pedagogy), the resulting environment matches the functional requirements of the instructional program. This paper describes the axioms established for mobile learning as well as development of the mobile computing environment. The paper discusses the developmental evolution and system architecture as well as the requirements of the portable training programs being offered via this new system. Apps are designed to connect learners, instructors and practitioners as well as to facilitate collaborative learning from a variety of mobile devices, anywhere in the World. Future content, apps and systems development will connect the physical and virtual environments, in order to truly enhance the mobile learning experience for people on the move
Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications
This paper compares three candidate large-scale propagation path loss models
for use over the entire microwave and millimeter-wave (mmWave) radio spectrum:
the alpha-beta-gamma (ABG) model, the close-in (CI) free space reference
distance model, and the CI model with a frequency-weighted path loss exponent
(CIF). Each of these models have been recently studied for use in standards
bodies such as 3GPP, and for use in the design of fifth generation (5G)
wireless systems in urban macrocell, urban microcell, and indoor office and
shopping mall scenarios. Here we compare the accuracy and sensitivity of these
models using measured data from 30 propagation measurement datasets from 2 GHz
to 73 GHz over distances ranging from 4 m to 1238 m. A series of sensitivity
analyses of the three models show that the physically-based two-parameter CI
model and three-parameter CIF model offer computational simplicity, have very
similar goodness of fit (i.e., the shadow fading standard deviation), exhibit
more stable model parameter behavior across frequencies and distances, and
yield smaller prediction error in sensitivity testing across distances and
frequencies, when compared to the four-parameter ABG model. Results show the CI
model with a 1 m close-in reference distance is suitable for outdoor
environments, while the CIF model is more appropriate for indoor modeling. The
CI and CIF models are easily implemented in existing 3GPP models by making a
very subtle modification -- by replacing a floating non-physically based
constant with a frequency-dependent constant that represents free space path
loss in the first meter of propagation.Comment: Open access available at:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=743465
Radio Propagation into Modern Buildings:Attenuation Measurements in the Range from 800 MHz to 18 GHz
Sunlight-mediated inactivation of health-relevant microorganisms in water: a review of mechanisms and modeling approaches.
Health-relevant microorganisms present in natural surface waters and engineered treatment systems that are exposed to sunlight can be inactivated by a complex set of interacting mechanisms. The net impact of sunlight depends on the solar spectral irradiance, the susceptibility of the specific microorganism to each mechanism, and the water quality; inactivation rates can vary by orders of magnitude depending on the organism and environmental conditions. Natural organic matter (NOM) has a large influence, as it can attenuate radiation and thus decrease inactivation by endogenous mechanisms. Simultaneously NOM sensitizes the formation of reactive intermediates that can damage microorganisms via exogenous mechanisms. To accurately predict inactivation and design engineered systems that enhance solar inactivation, it is necessary to model these processes, although some details are not yet sufficiently well understood. In this critical review, we summarize the photo-physics, -chemistry, and -biology that underpin sunlight-mediated inactivation, as well as the targets of damage and cellular responses to sunlight exposure. Viruses that are not susceptible to exogenous inactivation are only inactivated if UVB wavelengths (280-320 nm) are present, such as in very clear, open waters or in containers that are transparent to UVB. Bacteria are susceptible to slightly longer wavelengths. Some viruses and bacteria (especially Gram-positive) are susceptible to exogenous inactivation, which can be initiated by visible as well as UV wavelengths. We review approaches to model sunlight-mediated inactivation and illustrate how the environmental conditions can dramatically shift the inactivation rate of organisms. The implications of this mechanistic understanding of solar inactivation are discussed for a range of applications, including recreational water quality, natural treatment systems, solar disinfection of drinking water (SODIS), and enhanced inactivation via the use of sensitizers and photocatalysts. Finally, priorities for future research are identified that will further our understanding of the key role that sunlight disinfection plays in natural systems and the potential to enhance this process in engineered systems
Pairing effects on the collectivity of quadrupole states around 32Mg
The first 2+ states in N=20 isotones including neutron-rich nuclei 32Mg and
30Ne are studied by the Hartree-Fock-Bogoliubov plus quasiparticle random phase
approximation method based on the Green's function approach. The residual
interaction between the quasiparticles is consistently derived from the
hamiltonian density of Skyrme interactions with explicit velocity dependence.
The B(E2) transition probabilities and the excitation energies of the first 2+
states are well described within a single framework. We conclude that pairing
effects account largely for the anomalously large B(E2) value and the very low
excitation energy in 32Mg.Comment: 14 pages, 9 figure
The effect of aqueous alteration and metamorphism in the survival of presolar silicate grains in chondrites
Relatively small amounts (typically between 2-200 parts per million) of
presolar grains have been preserved in the matrices of chondritic meteorites.
The measured abundances of the different types of grains are highly variable
from one chondrite to another, but are higher in unequilibrated chondrites that
have experienced little or no aqueous alteration and/or metamorphic heating
than in processed meteorites. A general overview of the abundances measured in
presolar grains (particularly the recently identified presolar silicates)
contained in primitive chondrites is presented. Here we will focus on the most
primitive chondrite groups, as typically the highest measured abundances of
presolar grains occur in primitive chondrites that have experienced little
thermal metamorphism. Looking at the most aqueously altered chondrite groups,
we find a clear pattern of decreasing abundance of presolar silicate grains
with increasing level of aqueous alteration. We conclude that the measured
abundances of presolar grains in altered chondrites are strongly biased by
their peculiar histories. Scales quantifying the intensity of aqueous
alteration and shock metamorphism in chondrites could correlate with the
content in presolar silicates. To do this it would be required to infer the
degree of destruction or homogenization of presolar grains in the matrices of
primitive meteorites. To get an unbiased picture of the relative abundance of
presolar grains in the different regions of the protoplanetary disk where first
meteorites consolidated, future dedicated studies of primitive meteorites,
IDPs, and collected materials from sample-return missions (like e.g. the
planned Marco Polo) are urgently required.Comment: 15 pages, 3 figures, published in PASA as part of the Proceedings of
the 2008 Torino Conference "The Origin of the Elements Heavier than Iron
Theory of Decoupling in the Mixed Phase of Extremely Type-II Layered Superconductors
The mixed phase of extremely type-II layered superconductors in perpendicular
magnetic field is studied theoretically via the layered XY model with uniform
frustration. A partial duality analysis is carried out in the weak-coupling
limit. It consistently accounts for both intra-layer (pancake) and inter-layer
(Josephson) vortex excitations. The main conclusion reached is that
dislocations of the two-dimensional (2D) vortex lattices within layers drive a
unique second-order melting transition at high perpendicular fields between a
low-temperature superconducting phase that displays a Josephson effect and a
high-temperature ``normal'' phase that displays no Josephson effect. The former
state is best described by weakly coupled 2D vortex lattices, while the latter
state is best characterized by a decoupled vortex liquid. It is further argued
on the basis of the duality analysis that the second-order melting transition
converts itself into a first-order one as the perpendicular field is lowered
and approaches the dimensional cross-over scale. The resulting critical
endpoint potentially accounts for the same phenomenon that is observed in the
mixed phase of clean high-temperature superconductors.Comment: 39 pgs. of PLAIN TeX, 2 postscript figs., published versio
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