21 research outputs found
Regeneration of okra (Abelmoschus esculentus L.) via apical shoot culture system
The present study was undertaken to evaluate the most suitable concentration of growth regulators for regeneration of okra (Abelmoschus esculentus L. Monech) via apical shoot culture system. The study of apical shoot culture system was found effective for regeneration of apical shoots. The okra (A. esculentus L. Monech) N-550 line evolved at R&D, Nirmal Seeds Pvt. Ltd., was used as basic material for experiment of regeneration using different auxin and cytokinin hormone combination. Nine to ten days old germinating seedlings were used for isolation of shoot tip explants, isolated shoot tips were cultured on regeneration medium, Murashige and Skoog (MS) medium supplemented with alone indole-3-butyric acid (IBA) (0.25, 0.5, 1.00, 1.5, 2.0 and 2.5 mg/L) and IBA 1.0 mg/L with naphthalene acetic acid (NAA) (0.25, 0.5, 1.00, 1.5, 2.0 and 2.5 mg/L). After regeneration, cultures were inoculated on elongation medium containing MS medium supplemented with kinetin (0.25, 0.5, 1.00, 1.5, 2.0 and 2.5 mg/L). Elongated shoots transferred to rooting medium containing MS medium supplemented with indole-3-butyric acid (IAA) (0.25, 0.5, 1.00, 1.5, 2.0 and 2.5 mg/L). Combination of 1.0 mg/L IBA and 0.5 mg/L NAA were found to be most effective for plant regeneration from apical shoot. Best shoot elongation observed in MS medium supplemented with kinetin 0.5 mg/L. Elongated shoots rooted most effectively in MS medium containing 0.5 mg/L IAA and 1.0 g activated charcoal. The success of apical shoot culture system of okra was encouraged by acclimatization of the plantlets in the field conditions.Key words: Abelmoschus esculentus, apical shoot, auxins, cytokinines, regeneratio
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 × 6 × 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SP's successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector components
Low exposure long-baseline neutrino oscillation sensitivity of the DUNE experiment
The Deep Underground Neutrino Experiment (DUNE) will produce world-leading neutrino oscillation measurements over the lifetime of the experiment. In this work, we explore DUNE's sensitivity to observe charge-parity violation (CPV) in the neutrino sector, and to resolve the mass ordering, for exposures of up to 100 kiloton-megawatt-years (kt-MW-yr). The analysis includes detailed uncertainties on the flux prediction, the neutrino interaction model, and detector effects. We demonstrate that DUNE will be able to unambiguously resolve the neutrino mass ordering at a 3σ (5σ) level, with a 66 (100) kt-MW-yr far detector exposure, and has the ability to make strong statements at significantly shorter exposures depending on the true value of other oscillation parameters. We also show that DUNE has the potential to make a robust measurement of CPV at a 3σ level with a 100 kt-MW-yr exposure for the maximally CP-violating values \delta_{\rm CP}} = \pm\pi/2. Additionally, the dependence of DUNE's sensitivity on the exposure taken in neutrino-enhanced and antineutrino-enhanced running is discussed. An equal fraction of exposure taken in each beam mode is found to be close to optimal when considered over the entire space of interest
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Beyond expectations: residual dynamic mode decomposition and variance for stochastic dynamical systems
Acknowledgements: We thank the Allen Institute for the publicly available data and the referees for valuable comments that helped improve the clarity of the paper. MJC would like to thank the Cecil King Foundation and the London Mathematical Society for a Cecil King Travel Scholarship that funded visits to the University of Wisconsin-Madison, the University of Washington, and Cornell University. QL would like to thank Vice Chancellor for Research and Graduate Education, DMS-2308440 and ONR-N000142112140. RVR would like to thank the Shanahan Family Foundation for support. AT work was partially supported by the NSF DMS-1952757, DMS-2045646, a Simons Mathematical Fellowship, and ONR-N000142312729.AbstractKoopman operators linearize nonlinear dynamical systems, making their spectral information of crucial interest. Numerous algorithms have been developed to approximate these spectral properties, and dynamic mode decomposition (DMD) stands out as the poster child of projection-based methods. Although the Koopman operator itself is linear, the fact that it acts in an infinite-dimensional space of observables poses challenges. These include spurious modes, essential spectra, and the verification of Koopman mode decompositions. While recent work has addressed these challenges for deterministic systems, there remains a notable gap in verified DMD methods for stochastic systems, where the Koopman operator measures the expectation of observables. We show that it is necessary to go beyond expectations to address these issues. By incorporating variance into the Koopman framework, we address these challenges. Through an additional DMD-type matrix, we approximate the sum of a squared residual and a variance term, each of which can be approximated individually using batched snapshot data. This allows verified computation of the spectral properties of stochastic Koopman operators, controlling the projection error. We also introduce the concept of variance-pseudospectra to gauge statistical coherency. Finally, we present a suite of convergence results for the spectral information of stochastic Koopman operators. Our study concludes with practical applications using both simulated and experimental data. In neural recordings from awake mice, we demonstrate how variance-pseudospectra can reveal physiologically significant information unavailable to standard expectation-based dynamical models.
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Thermal effect on the life-cycle parameters of the medically important freshwater snail species lymnaea (radix) luteola (lamarck)
The snails Lymnaea (Radix) luteola exhibited marked variations in
growth, longevity, and attaining sexual maturity at different
temperatures and diets. At 10 C, irrespective of foods, pH and salinity
of water, the snails had minimum life span, maximum death rate and
lowest growth rate. At 15 C, the growth rate was comparatively higher
and the snails survived for a few more days. But at these temperatures
they failed to attain sexual maturity. Snails exposed to pH 5 and 9 at
20 , 25 , 30 , 35 C and room temperatures (19.6 -29.6 C); to 0.5, 1.5
and 2.5 NaCl at 20 and 35 C; to 2.5 NaCl at 25 C and room temperatures
failed to attain sexual maturity. The snails exposed to pH 7 and
different salinity grades at 20 , 25 , 30 , 35 C and room temperatures
became sexually mature between 25-93 days depending upon the type of
foods used in the culture