3,731 research outputs found
Aquacultural Potential of Derelict Waterbodies – A Case Study
Derelict waterbodies could be an important source to boost fish production for meeting the future fish demand of the country. The study has shown that fish yield from these waterbodies could be as high as 4.6 t/ha. Overall, net income per hectare through scientific management of derelict waterbodies has been found to be Rs 104443, with maximum and minimum net incomes per hectare being Rs 207416 and Rs 64033, respectively. Benefit–cost analysis has indicated that all waterbodies are favourable for aquaculture. Overall B-C ratio under the project has been found to be 3.82 and interestingly, scientific management of waterbodies could yield good income even from low level of investment. Such an activity can provide enormous income and employment opportunities in the rural areas. To encourage large-scale utilization of available derelict waterbodies for aquaculture, a prudent and well-conceived policy for leasing out derelict waterbodies and transfer of relevant technologies to the needy and interested farmers should be evolved. These steps would not only boost fish production in the rural areas, but would also provide much needed impetus to the growth and diversification of rural economy.Resource /Energy Economics and Policy,
Macdonald Polynomials and level two Demazure modules for affine
We define a family of symmetric polynomials indexed by a pair of dominant integral weights. The polynomial is the specialized Macdonald polynomial and we prove that is the graded character of a level two Demazure module associated to the affine Lie algebra . Under suitable conditions on (which includes the case when or ) we prove that is Schur positive and give explicit formulae for them in terms of Macdonald polynomials
eta_c production at the Large Hadron Collider
We have studied the production of the 1S_0 charmonium state, eta_c, at the
Large Hadron Collider (LHC) in the framework of Non-Relativistic Quantum
Chromodynamics (NRQCD) using heavy-quark symmetry. We find that NRQCD predicts
a large production cross-section for this resonance at the LHC even after
taking account the small branching ratio of eta_c into two photons. We show
that it will be possible to test NRQCD through its predictions for eta_c, with
the statistics that will be achieved at the early stage of the LHC, running at
a center of mass energy of 7 TeV with an integrated luminosity of 100 pb^{-1}Comment: 8 pages, 2 figure
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis
We propose a novel denoising framework for task functional Magnetic Resonance
Imaging (tfMRI) data to delineate the high-resolution spatial pattern of the
brain functional connectivity via dictionary learning and sparse coding (DLSC).
In order to address the limitations of the unsupervised DLSC-based fMRI
studies, we utilize the prior knowledge of task paradigm in the learning step
to train a data-driven dictionary and to model the sparse representation. We
apply the proposed DLSC-based method to Human Connectome Project (HCP) motor
tfMRI dataset. Studies on the functional connectivity of cerebrocerebellar
circuits in somatomotor networks show that the DLSC-based denoising framework
can significantly improve the prominent connectivity patterns, in comparison to
the temporal non-local means (tNLM)-based denoising method as well as the case
without denoising, which is consistent and neuroscientifically meaningful
within motor area. The promising results show that the proposed method can
provide an important foundation for the high-resolution functional connectivity
analysis, and provide a better approach for fMRI preprocessing.Comment: 8 pages, 3 figures, MLMI201
Neural Network Model for Apparent Deterministic Chaos in Spontaneously Bursting Hippocampal Slices
A neural network model that exhibits stochastic population bursting is
studied by simulation. First return maps of inter-burst intervals exhibit
recurrent unstable periodic orbit (UPO)-like trajectories similar to those
found in experiments on hippocampal slices. Applications of various control
methods and surrogate analysis for UPO-detection also yield results similar to
those of experiments. Our results question the interpretation of the
experimental data as evidence for deterministic chaos and suggest caution in
the use of UPO-based methods for detecting determinism in time-series data.Comment: 4 pages, 5 .eps figures (included), requires psfrag.sty (included
McKay matrices for finite-dimensional Hopf algebras
For a finite-dimensional Hopf algebra , the McKay matrix of an -module encodes the relations for tensoring the simple -modules with . We prove results about the eigenvalues and the right and left (generalized) eigenvectors of by relating them to characters. We show how the projective McKay matrix obtained by tensoring the projective indecomposable modules of with is related to the McKay matrix of the dual module of . We illustrate these results for the Drinfeld double of the Taft algebra by deriving expressions for the eigenvalues and eigenvectors of and in terms of several kinds of Chebyshev polynomials. For the matrix that encodes the fusion rules for tensoring with a basis of projective indecomposable -modules for the image of the Cartan map, we show that the eigenvalues and eigenvectors also have such Chebyshev expressions
Compounds and Methods for Reducing Oxidative Stress
Antioxidant polymeric compounds are provided that comprise a plurality of monomeric portions, where each monomeric portion includes an antioxidant molecule interposed between at least two acrylate molecules, and where at least one acrylate molecule of each monomeric portion is linked by a diamine molecule to an acrylate molecule of an adjacent monomeric portion to thereby form the polymer. Methods of synthesizing polymeric compounds and methods of using the antioxidant polymeric compounds to reduce oxidative stress are also provided
Correlation between the nuclear structure and reaction dynamics of Ar-isotopes as projectile using the relativistic mean-field approach
This theoretical study is devoted to bridging the gap between the nuclear
structure and reaction dynamics and unravelling their impact on each other,
considering the neutron-rich light mass 30-60Ar isotopes. Using the
relativistic mean-field with the NL3* parameter set, several bulk properties
such as binding energies, charge radii, quadrupole deformation parameter, two
neutron separation energy, and differential two neutron separation energy with
the shell closure parameter are probed for the mentioned isotopic chain. For
validation, the RMF (NL3*) results are compared with those obtained from the
finite range droplet model (FRDM), Weizsacker-Skyrme model with WS3, WS*
parameters and the available experimental data. Most of the participating
isotopes are found to be prolate in structure and neutron shell closures are
conspicuously revealed at N=14, 20, 40 but weakly shown at N=24, 28, 34. From
our analysis, a central depletion in the nucleonic density is identified in
32Ar and 42-58Ar, indicating them as possible candidates for a semi-bubble-like
structure. Interestingly, these results are consistent with recent theoretical
and experimentally measured data. Besides, using the Glauber model, the
reaction cross-sections are determined by taking 26-48Ar as projectiles and
stable targets such as 12C, 16O, 40Ca, 90Zr, 124,132Sn, 208Pb and 304120.
Although there is no experimental evidence for the stability of 304120, it has
been predicted in Ref. [Mod. Phys. Lett. A {\bf 27}, 1250173 (2012)] as a
stable nucleus. A relatively higher cross-section value is noticed between 30Ar
and 32Ar which infers that 32Ar is the most stable isotope among the considered
chain. Moreover, we noticed that the profile of the differential cross-sections
and scattering angle are highly influenced by the mass of the target nuclei and
the magnitude of the incident energy of the projectile nucleus.Comment: 19 pages, 7 figure
The Effects of Acute Stress on Human Prefrontal Working Memory Systems
We examined the relationship between acute stress and prefrontal-cortex (PFC) based working memory (WM) systems using behavioral (Experiment 1) and functional magnetic resonance imaging (fMRI; Experiment 2) paradigms. Subjects performed a delayed-response item-recognition task, with alternating blocks of high and low WM demand trials. During scanning, participants performed this task under three stress conditions: cold stress (induced by cold-water hand-immersion), a room temperature water control (induced by tepid-water hand-immersion), and no-water control (no hand-immersion). Performance was affected by WM demand, but not stress. Cold stress elicited greater salivary cortisol readings in behavioral subjects, and greater PFC signal change in fMRI subjects, than control conditions. These results suggest that, under stress, increases in PFC activity may be necessary to mediate cognitive processes that maintain behavioral organization
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