Enrichment Factor for Molybdenum Isotopes Separation by the Method of Laser-assisted Retardation of Condensation

2021 ◽  
Vol 42 (10) ◽  
pp. 2392-2400
Author(s):  
K. A. Lyakhov ◽  
A. N. Pechen
Keyword(s):  
Enrichment Factor ◽  
Molybdenum Isotopes ◽  
Isotopes Separation

Evolution of the Enrichment Factor for an Iterative Scheme of Zirconium Isotopes Separation

2020 ◽  
Vol 41 (12) ◽  
pp. 2345-2352
Author(s):  
K. A. Lyakhov ◽  
A. N. Pechen
Keyword(s):  
Enrichment Factor ◽  
Iterative Scheme ◽  
Isotopes Separation

scholarly journals Risk Assessment of Heavy Metals in Basmati Rice: Implications for Public Health

2021 ◽  
Vol 13 (15) ◽  
pp. 8513
Author(s):  
Farah Tariq ◽  
Xiukang Wang ◽  
Muhammad Hamzah Saleem ◽  
Zafar Iqbal Khan ◽  
Kafeel Ahmad ◽  
...  
Keyword(s):  
Enrichment Factor ◽  
Risk Index ◽  
Translocation Factor ◽  
Bioaccumulation Factor ◽  
Basmati Rice ◽  
Nutritional Properties ◽  
Health Risk Index ◽  
Zn Content ◽  
Locally Grown ◽  
Different Parts

Basmati rice is increasingly recognized and consumed in different parts of the world due to its different tastes and nutritional properties. This research focused on determining the cadmium (Cd), cobalt (Co), Copper (Cu), iron (Fe), manganese (Mn), nickel (Ni) and zinc (Zn) content in locally grown basmati rice in Pakistan and assessing the risks of these values to human health. Root, shoot and grain samples of basmati rice were taken, along with soil samples from the five regions studied. Metal mean concentrations (mg/kg) in grains fluctuated from 2.70 to 9.80 for Cd, 4.80 to 9.85 for Zn, 1.16 to 1.46 for Cu, 1.84 to 10.86 for Co, 2.05 to 13.07 for Fe, 5.03 to 11.11 for Mn and 3.24 to 13.28 for Ni, respectively. All metal values were within permissible limits except for Cd. The enrichment factor for Cd was highest among all sites. Cobalt and zinc had the highest bioaccumulation factor and translocation factor. The highest enrichment factor was noticed for Cd and the lowest for Cu. The health risk index at all examined sites was less than one. Consistent examination is recommended to limit health hazards instigated by the use of rice polluted with a greater concentration of Cd.

scholarly journals Production of highly concentrated intermediate molybdenum isotopes in optimal cascade with two additional product flows

2020 ◽  
Vol 1696 ◽  
pp. 012011
Author(s):  
V A Palkin ◽  
E V Maslyukov ◽  
S S Lubnin
Keyword(s):  
Molybdenum Isotopes ◽  
Additional Product

scholarly journals AN ON-LINE NON-LEPTONIC NEURAL TRIGGER APPLIED TO AN EXPERIMENT LOOKING FOR BEAUTY

1994 ◽  
Vol 05 (05) ◽  
pp. 863-870
Author(s):  
C. BALDANZA ◽  
F. BISI ◽  
A. COTTA-RAMUSINO ◽  
I. D’ANTONE ◽  
L. MALFERRARI ◽  
...  
Keyword(s):  
Neural Network ◽  
Response Time ◽  
Enrichment Factor ◽  
Data Stream ◽  
Particle Production ◽  
Event Sample ◽  
On Line

Results from a non-leptonic neural-network trigger hosted by experiment WA92, looking for beauty particle production from 350 GeV π− on a Cu target, are presented. The neural trigger has been used to send on a special data stream (the Fast Stream) events to be analyzed with high priority. The non-leptonic signature uses microvertex detector data and was devised so as to enrich the fraction of events containing C3 secondary vertices (i.e, vertices having three tracks whith sum of electric charges equal to +1 or -1). The neural trigger module consists of a VME crate hosting two ETANN analog neural chips from Intel. The neural trigger operated for two continuous weeks during the WA92 1993 run. For an acceptance of 15% for C3 events, the neural trigger yields a C3 enrichment factor of 6.6–7.1 (depending on the event sample considered), which multiplied by that already provided by the standard non-leptonic trigger leads to a global C3 enrichment factor of ≈150. In the event sample selected by the neural trigger for the Fast Stream, 1 every ≈7 events contains a C3 vertex. The response time of the neural trigger module is 5.8 μs.

Systematics of nuclear charge radii of the stable molybdenum isotopes from muonic atoms

1980 ◽  
Vol 333 (3) ◽  
pp. 333-342 ◽  
Author(s):  
L. Schellenberg ◽  
B. Robert-Tissot ◽  
K. Käser ◽  
L.A. Schaller ◽  
H. Schneuwly ◽  
...  
Keyword(s):  
Nuclear Charge ◽  
Charge Radii ◽  
Muonic Atoms ◽  
Molybdenum Isotopes

scholarly journals ON THE ORIGIN OF THE LIGHTEST MOLYBDENUM ISOTOPES

2008 ◽  
Vol 690 (2) ◽  
pp. L135-L139 ◽  
Author(s):  
Jacob Lund Fisker ◽  
Robert D. Hoffman ◽  
Jason Pruet
Keyword(s):  
Molybdenum Isotopes

Towards constraining Mars' thermal evolution using machine learning

2021 ◽  
Author(s):  
Siddhant Agarwal ◽  
Nicola Tosi ◽  
Pan Kessel ◽  
Sebastiano Padovan ◽  
Doris Breuer ◽  
...  
Keyword(s):  
Activation Energy ◽  
Enrichment Factor ◽  
Activation Volume ◽  
Initial Conditions ◽  
Thermal Evolution ◽  
Diffusion Creep ◽  
Dynamic Simulations ◽  
Mixture Density ◽  
Lithospheric Thickness ◽  
Mantle Temperature

<p>The thermal evolution of terrestrial planets depends strongly on several parameters and initial conditions that are poorly constrained. Often, direct or indirect observables from planetary missions such as elastic lithospheric thickness, crustal thickness and duration of volcanism are inverted to infer the unknown parameter values and initial conditions. The non-uniqueness and non-linearity of this inversion necessitates a probabilistic inversion framework. However, due to the expensive nature of forward dynamic simulations of thermal convection , Markov Chain Monte Carlo methods are rarely used. To address this shortcoming, some studies have recently shown the effectiveness of Mixture Density Networks (MDN) (Bishop 1995) in being able to approximate the posterior probability using only the dataset of simulations run prior to the inversion (Meier et al. 2007, de Wit et al. 2013, Käufl et al. 2016, Atkins et al. 2016).</p><p>Using MDNs, we systematically isolate the degree to which a parameter can be constrained using different “present-day” synthetic observables from 6130 simulations for a Mars-like planet. The dataset – generated using the mantle convection code GAIA (Hüttig et al. 2013)- is the same as that used by Agarwal et al. (2020) for a surrogate modelling study.</p><p>The loss function used to optimize the MDN (log-likelihood) provides a single robust quantity that can be used to measure how well a parameter can be constrained. We test different numbers and combinations of observables (heat flux at the surface and core-mantle boundary, radial contraction, melt produced, elastic lithospheric thickness, and duration of volcanism) to constrain the following parameters: reference viscosity, activation energy and activation volume of the diffusion creep rheology, an enrichment factor for radiogenic elements in the crust, and initial mantle temperature. If all observables are available, reference viscosity can be constrained to within 32% of its entire range (10<sup>19</sup>−10<sup>22</sup> Pa s), crustal enrichment factor (1−50) to within 15%, activation energy (10<sup>5</sup>−5×10<sup>5</sup> J mol-1 ) to within 80%, and initial mantle temperature (1600−1800K) to within 39%. The additional availability of the full present-day temperature profile or parts of it as an observable tightens the constraints further. The activation volume (4×10<sup>-6</sup> −10×10<sup>-6</sup>  m<sup>3</sup> mol<sup>-1</sup>) cannot be constrained and requires research into new observables in space and time, as well as fields other than just temperature. Testing different levels of uncertainty (simulated using Gaussian noise) in the observables, we found that constraints on different parameters loosen at different rates, with initial temperature being the most sensitive. Finally, we present how the marginal MDN proposed by Bishop (1995) can be modified to model the joint probability for all parameters, so that  the inter-parameter correlations and the associated degeneracy can be capture, thereby providing a more comprehensive picture of all the evolution scenarios that fit given observational constraints.</p>

Charged Particles Emission in Fast Neutron Processes on Molybdenum Isotopes

2021 ◽  
Vol 85 (12) ◽  
pp. 1471-1478
Author(s):  
C. Oprea ◽  
A. I. Oprea
Keyword(s):  
Fast Neutron ◽  
Charged Particles ◽  
Molybdenum Isotopes

Hydrogen isotopes separation validation of frontal displacement chromatography for various compositions of feed gas and tritium extraction simulation for TBM

2018 ◽  
Vol 43 (45) ◽  
pp. 20750-20757 ◽  
Author(s):  
Xiaojun Deng ◽  
Deli Luo ◽  
Cheng Qin ◽  
Daqiao Meng ◽  
Tao Tang ◽  
...  
Keyword(s):  
Hydrogen Isotopes ◽  
Displacement Chromatography ◽  
Isotopes Separation ◽  
Frontal Displacement
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