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Optimization of Unit Commitment Problem Using Genetic Algorithm
The main objective of the paper is to minimize the use of conventional generators and optimize the fuel cost. To minimize the use of conventional generators, solar thermal power plant (STPP) is proposed in this paper. An...
Single-photon-multi-layer-interference lithography for high-aspect-ratio and three-dimensional SU-8 micro-/nanostructures.
We report microstructures of SU-8 photo-sensitive polymer with high-aspect-ratio, which is defined as the ratio of height to in-plane feature size. The highest aspect ratio achieved in this work exceeds 250. A multi-layer and...
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Comparison of Constitutive Models for Predicting the Formability of SS 304 by Tubular Hydroforming Process
Finite Element (FE) simulation of sheet/tube forming precision depends mainly on the accuracy of the constitutive modeling. The present paper aim is to compare the constitutive models to fit the stress-strain curves. The...
Expert-captured democracies

Does public cheap talk by a biased expert benefit voters? The answer depends on the nature of democratic institutions and the extent of communication possibilities. Expert endorsements induce office-seeking parties to serve...

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Expert-captured democracies

Does public cheap talk by a biased expert benefit voters? The answer depends on the nature of democratic institutions and the extent of communication possibilities. Expert endorsements induce office-seeking parties to serve...

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A Novel Approach to Organize Blood Donation Camp and Blood Unit Wastage Management
In the countries or areas where the supply-demand ratio of blood is not maintained, the medication process is being deteriorated, and this may be as fatal as death of the patients. It is being observed in different areas in...
Mixed A-Cation Perovskites for Solar Cells

Hybrid lead halide perovskites containing a mixture of A-site cations such as the formamidinium (CH(NH2)2+, FA) and the smaller cesium (Cs+) cations have attracted considerable interest due to...

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Bayesian Inference in Nonparametric Dynamic State-Space Models
We introduce state-space models where the functionals of the observational and the evolutionary equations are unknown, and treated as random functions evolving with time. Thus, our model is nonparametric and generalizes the...
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Integrated Regression Approach for Prediction of Solar Irradiance Based on Multiple Weather Factors
Solar irradiance is the most vital aspect in estimating the solar energy collection at any location. Renewable energy setup at any location is dependent on it and other ambient weather parameters. However, it is hard to predict...
Reorganisation of brain networks in frontotemporal dementia and progressive supranuclear palsy.
The disruption of large-scale brain networks is increasingly recognised as a consequence of neurodegenerative dementias. We assessed adults with behavioural variant frontotemporal dementia and progressive supranuclear palsy...
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Effectiveness and efficiency of two distinct mechanisms for take-off in a derbid planthopper insect.
Analysis of the kinematics of take-off in the planthopper Proutista moesta (Hemiptera, Fulgoroidea, family Derbidae) from high-speed videos showed that these insects used two distinct mechanisms involving different appendages....
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Modelling household finances
We contribute to the empirical literature on household finances by introducing a Bayesian multivariate two-part model, which has been developed to further our understanding of household finances. Our flexible approach allows for...
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Mixed A-Cation Perovskites for Solar Cells

Hybrid lead halide perovskites containing a mixture of A-site cations such as the formamidinium (CH(NH2)2+, FA) and the smaller cesium (Cs+) cations have attracted considerable interest due to...

Published by:
Long Run and Short Run Linkages Between Credit and Output
An appropriate link between the financial sector and real sector is required to have a balanced growth and development of a country as well as its regional levels particularly for the countries whose financial developments are...
Bayesian Inference in Nonparametric Dynamic State-Space Models
We introduce state-space models where the functionals of the observational and the evolutionary equations are unknown, and treated as random functions evolving with time. Thus, our model is nonparametric and generalizes the...
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