Gaussian Process Learning-based Probabilistic Optimal Power Flow

In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary distribution. The proposed method relies on a non-parametric Bayesian inference-based uncertainty propagation approach, called Gaussian Process (GP). We also suggest a new type of sensitivity called Subspace-wise Sensitivity, using observations on the interpretability of GP-POPF hyperparameters. The simulation results on 14-bus and 30-bus systems show that the proposed method provides reasonably accurate solutions when compared with Monte-Carlo Simulations (MCS) solutions at different levels of uncertain renewable penetration as well as load uncertainties, while requiring much less number of samples and elapsed time

Persistent currents in coupled mesoscopic rings

We have analysed the nature of persistent currents in open coupled mesoscopic rings. Our system is comprised of two ideal loops connected to an electron reservoir. We have obtained analytical expressions for the persistent current densities in two rings in the presence of a magnetic field. We show that the known even-odd parity effects in isolated single loops have to be generalised for the case of coupled rings. We also show that when the two rings have unequal circumferences, it is possible to observe opposite currents (diamagnetic or paramagnetic) in the two rings for a given Fermi level.Comment: Submitted to PRB. 9 figures availabel on reques

Generation and Measurement of Non Equilibrium Spin Currents in Two Terminal Systems

Generation and measurement of non-equilibrium spin current in two probe configuration is discussed. It is argued and shown that spin current can be generated in two terminal non-magnetic system. Further it is shown that these spin currents can be measured via conductance in two probe configuration when the detector probe is ferromagnetic.Comment: 4 pages, 5 figure

Panel: COVID-19 Challenges to Project Management

COVID-19 has presented many new challenges and new opportunities for project management professionals and IT leaders. This panel will address these challenges and identify project management best practices and processes which have been effective in meeting these challenges. The panelists will share specific instances and challenges explaining how Project Cost Management, Time Management, Risk Management, Human Resources Management, and Risk Management have enabled them to manage during the pandemic and as a part of “return-to-work” scenarios. Hearing from these leaders as they accomplish digital transformations for their businesses and organizations will be an opportunity to bridge the gap between research and practice and to establish a dialogue between academic leaders and IT industry leaders which will provide many new questions to come

Applying dissipative dynamical systems to pseudorandom number generation: Equidistribution property and statistical independence of bits at distances up to logarithm of mesh size

The behavior of a family of dissipative dynamical systems representing transformations of two-dimensional torus is studied on a discrete lattice and compared with that of conservative hyperbolic automorphisms of the torus. Applying dissipative dynamical systems to generation of pseudorandom numbers is shown to be advantageous and equidistribution of probabilities for the sequences of bits can be achieved. A new algorithm for generating uniform pseudorandom numbers is proposed. The theory of the generator, which includes proofs of periodic properties and of statistical independence of bits at distances up to logarithm of mesh size, is presented. Extensive statistical testing using available test packages demonstrates excellent results, while the speed of the generator is comparable to other modern generators.Comment: 6 pages, 3 figures, 3 table

Antimoth finishing treatment for woollens using tannin containing natural dyes

Attempts have been made to develop natural dye based antimoth finishing process using natural dyes as an alternative of  chemical based process. Natural dyes obtained from different sources are used to dye the woollen fabric and then screened for antimoth efficacy. Woollen fabrics dyed with extract of silver oak leaves, wall nut husk and pomegranate rind have shown highest resistance to moth attack. The screened sources carrying antimoth property are then subjected to phytochemical analysis along with non-carrying natural dyes for analyzing their chemical constituents. The result reveals that the chemical constituent of natural dyes plays a crucial role in determining antimoth efficacy. The amount of tannin content present in the natural dyes can be taken as an indicator to determine the antimoth efficacy

Efficacy of natural dye from Gerardiana diversifolia on pashmina (Cashmere) shawls

The present investigation deals with studies on potentiality of a colour extract from Gerardiana diversifolia as a source of natural dye, and on identification of chemical constituents responsible for dyeing ability. The efficacy of the extracted dye(s) on pashmina (Cashmere) fabrics has been evaluated for colour strength and fastness properties. Phytochemical studies reveal that the quinone and tannin are major components contributing to dyeing properties. The extracted colorant from Gerardiana diversifolia has potential to dye pashmina fabric with brown and grey shades having excellent wash and good to very good light fastness properties

Comparison between the two models of dephasing in mesoscopic systems

In mesoscopic systems to study the role of inelastic scattering on the phase coherent motion of electrons two phenomenological models have been proposed. In the first one, due to B\"uttiker, one adds a voltage probe into the system (or in the scattering matrix). The second model invokes the complex (or optical) potential in the system Hamiltonian. Studying a simple geometry of a metallic loop in the presence of Aharonov-Bohm magnetic flux, we show that the two probe conductance is symmetric in the reversal of the magnetic field in B\"uttiker's approach. Whereas the two probe conductance within the complex potential model is asymmetric in the magnetic flux reversal contrary to the expected behavior.Comment: 11 pages RevTex, 4 figures inculded, Communicated to PR

Blood glucose as a predictor of diarrheal dehydration in children

Background: Diarrhea remains the second leading cause of death globally among under 5 children. Historical clinical characteristics may not correlate to dehydration severity. Objectives: This study was done to evaluate the glycemic status of children having acute diarrhea with dehydration, at presentation, and to analyze the blood glucose as a predictor of the severity of diarrheal dehydration. Materials and Methods: Blood glucose levels were assessed in 150 children with acute diarrhea with dehydration, on admission. Results: Blood glucose levels showed statistically significant association with the degree of dehydration (p<0.05). Receiver operating characteristic curve analysis showed that blood glucose was a poor predictor of the severity of dehydration (area under curve [AUC] 0.240, 95% confidence interval [CI] = 0.050-0.429, standard error [SE] = 0.097) for some dehydration; and (AUC = 0.760, 95% CI = 0.571-0.950, SE = 0.097) for severe dehydration. Conclusion: Blood glucose is a poor predictor of the severity of diarrheal dehydration