113,968 research outputs found
Macroeconometric Policy Modeling for India: A Review of Some Analytical Issues
No full textNot availableStructural Macro Models, Identification, VAR
Christianus Biccius, Halae Saxonum Palaestram Oratoriam pandit
No full textCHRISTIANUS BICCIUS, HALAE SAXONUM PALAESTRAM ORATORIAM PANDIT
Christianus Biccius, Halae Saxonum Palaestram Oratoriam pandit ([1]r)
Titelseite ([1]r)
Text ([1]v
Particles and Fields in Superfluids: Insights from the Two-dimensional Gross-Pitaevskii Equation
No full textWe study the dynamics of active particles in two-dimensional superfluids at temperature , for a variety of initial configurations, by carrying out extensive direct-numerical-simulations of the two-dimensional, Galerkin-truncated Gross-Pitaevskii equation. Our study elucidates the interplay of particles and fields, in both simple and turbulent flows. We show that particle collisions can be inelastic, if the repulsive interactions between particles is weak, and elastic otherwise. We show that assemblies of many particles and vortices yield turbulent spatiotemporal evolutions
Universal Statistical Properties of Inertial-particle Trajectories in Three-dimensional, Homogeneous, Isotropic, Fluid Turbulence
No full textWe obtain new universal statistical properties of heavy-particle trajectories in three-dimensional, statistically steady, homogeneous, and isotropic turbulent flows by direct numerical simulations. We show that the probability distribution functions (PDFs) P(Φ), of the angle Φ between the Eulerian velocity u and the particle velocity v, at a point and time, scales as P(Φ) ∼Φ−, with a new universal exponent ≃ 4
ON TESTING AGAINST POSITIVE QUADRANT DEPENDENCE BASED ON SUB-SAMPLE ORDER STATISTICS
No full textA new class of tests based on convex combination of the two statistics
is proposed. These are functions of sub-sample order statistics. The
classes of tests proposed by Kochar and Gupta [6], Shetty and Pandit
[16], Pandit and Kumari [11] and Kendall’s test lie in the proposed
class of test statistics. The asymptotic normality of the proposed class
of tests is established. It has been observed that some members of
the class perform better than the existing tests. Unbiasedness and
consistency of the proposed class of tests are established
Editorial for the IJNM Special Issue From the Best Papers of IEEE ICBC 2023 “Advancing Blockchain and Cryptocurrency”
No full textThis special issue contains extended versions of the best papers from 2023 IEEE International Conference on Blockchain and Cryptocurrency. The conference was held from May 1 to May 5, 2023, in Dubai, UAE. The papers in this special issue explore crucial advancements in illicit activity tracking, transaction mechanisms, synchronization, and database integration. The following papers highlight critical advancements and address complex challenges in these domains.
The first paper, “The next phase of identifying illicit activity in Bitcoin” by Jack Nicholls and his team, deepens the discourse on securing Bitcoin transactions. By analyzing current methods and proposing enhancements through machine learning, this paper provides crucial insights into improving the detection of illicit activities and enhancing network security.
In the second paper, “Transaction fee mechanisms with farsighted miners,” authored by Jens Leth Hougaard and colleagues, strategic miner behaviors in the Ethereum network are explored under the new fee mechanism, EIP1559. The paper extends the discussion to strategic foresight in mining operations, presenting a model that evaluates the impacts of varying degrees of hashing power and foresight on network throughput and block variability.
The third contribution, “Out-of-band transaction pool sync for large dynamic blockchain networks” by Novak Boskov et al., innovates the synchronization of transaction pools across large and dynamic blockchain networks. Employing the novel SREP algorithm, this study provides a comprehensive approach with proven scalability and performance improvements, particularly emphasizing reduced block propagation delays and bandwidth overhead.
The fourth paper, “DELTA: A Modular, Transparent and Efficient Synchronization of DLTs and Databases” by Fernández-Bravo Peñuela et al., addresses the integration of blockchain data into traditional databases. The DELTA system offers a seamless, efficient solution for querying blockchain data within enterprise systems, proving significantly faster and more reliable than existing methods.
These papers collectively enhance our understanding of blockchain technology's application, offering new methodologies, insights into miner behavior, security enhancements, and integration techniques for enterprise systems. Their contributions are instrumental in paving the way for more robust, efficient, and secure blockchain networks.
We are immensely grateful to the authors for their innovative research, the reviewers for their critical insights, and the editorial team for their commitment to compiling this transformative special issue
Antisolvent Crystallization using a Fluidic Oscillator: Modeling and Validation
No full textThere
is increasing interest in developing new fluidic devices
with and without moving parts for crystallization. The goal is to
gain better control of particle size distribution of produced crystals.
Recently, the feasibility of using a planar fluidic oscillator for
crystallization was demonstrated by Pandit and Ranade (Pandit, A.
V.; Ranade, V. V. Fluidic Oscillator as a Continuous Crystallizer:
Feasibility Evaluation. Ind. Eng. Chem. Res. 2020, 59 (9), 3996–4006). A novel
“loop setup” using a fluidic oscillator was used for
carrying out seeded antisolvent crystallization of paracetamol in
a methanol–water system. Because of the novel mode of operation,
the conventional models are not directly applicable for interpreting
the reported data on the influence of key operating parameters such
as residence time, supersaturation ratio, and seed particle size distribution
(PSD). In this study, a rigorous mathematical model was developed
to simulate the antisolvent crystallization experiments of Pandit
and Ranade. A generalized multistage model comprising mass balances,
population balances, and crystallization kinetics was developed. A
population balance model (PBM) was formulated in terms of the standard
method of moments (MOM). A predefined log-normal distribution function
with moment-based parameters (mean, μ, and variance, σ2) was used to predict PSD. The model was used to fit relevant
kinetic parameters using the experimental data reported by Pandit
and Ranade. A new parameter characterizing the effectiveness of mixing
in the fluidic oscillator is defined. An empirical relation between
this mixing parameter and other parameters is proposed. The developed
model and results will be useful for extending applications of the
fluidic oscillator and other fluidic devices for antisolvent crystallization
Q. D. B. V. Sacrae Theologiae Adyta, Tvm Praelectionvm Pvblicarvm Aeqve Ac Privatarvm Continvatione, Tvm Dissertationvm Theologicarvm Singvlis Hebdomatibvs, Avspice Deo Trinvno, In Illvstris Avgvstei Acroaterio Maiori Institvtione, Denvo Pandit
No full textQ. D. B. V. SACRAE THEOLOGIAE ADYTA, TVM PRAELECTIONVM PVBLICARVM AEQVE AC PRIVATARVM CONTINVATIONE, TVM DISSERTATIONVM THEOLOGICARVM SINGVLIS HEBDOMATIBVS, AVSPICE DEO TRINVNO, IN ILLVSTRIS AVGVSTEI ACROATERIO MAIORI INSTITVTIONE, DENVO PANDIT
Q. D. B. V. Sacrae Theologiae Adyta, Tvm Praelectionvm Pvblicarvm Aeqve Ac Privatarvm Continvatione, Tvm Dissertationvm Theologicarvm Singvlis Hebdomatibvs, Avspice Deo Trinvno, In Illvstris Avgvstei Acroaterio Maiori Institvtione, Denvo Pandit ([1]
Mutual-Friction Coefficients in Two-Dimensional Superfluids: From the Gross-Pitaevskii equation to the Hall-Vinen-Bekharevich-Khalatnikov Two-fluid Model
No full textWe start from the two-dimensional Gross-Pitaevskii equation (GPE) and develop algorithms for the ab-initio determination of the temperature (T) dependence of the mutual-friction coefficients, α and α, and the normal-fluid density Pn, which appear as parameters in the Hall-Vinen-Bekharevich-Khalatnikov (HVBK) two-fluid model for a superfluid. In the second part of our study, we elucidate the statistical properties of two-dimensional, homogeneous, isotropic superfluid turbulence in the simplified HVBK model, with values for the mutual-friction coefficients that are comparable to those we obtain from the first part of our study
Selection of the Best New Better than used Population Based on Subsamples
No full textThe present study considers the problem of selecting the
‘Best’ new better than used(NBU) population among the several NBU populations. The procedure to select the ‘Best’ NBU population is developed based on a measure of departure from exponentiality towards NBU, proposed by Pandit and Math(2009)for the problem of testing exponentiality against NBU alternatives in one sample setting. The selection procedure is based on large
sample properties of the statistic proposed in Pandit and
Math(2009).We also indicate some applications of the selection
procedur
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