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Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network

Piezoelectric tiles harvest mechanical vibrations and convert them into electrical energy, making them an attractive energy-harvesting technology. However, their performance is heavily influenced by the terrain where they are...

Modeling Business-to-Business Sharing Drivers Using a Hierarchical Framework Under Uncertainties
This study contributes to assessing sharing economy concepts such as sustainability, organizational efficiency, and stakeholder engagement, and develops business-to-business sharing drivers in a hierarchical structure. Job shop...
The predictive value of abnormal P-wave axis for the detection of incident atrial fibrillation
INTRODUCTION: There is growing interest in the prediction of incident atrial fibrillation (AF). The 12-lead electrocardiogram (ECG) has been a particularly rich target for possible prediction strategies. PURPOSE: The P-wave axis...
Vibration induced refrigeration using ferroelectric materials.
This article aims to propose a cantilever based cooling device employing non-axis symmetric placement of bulk ferroelectric patches. Ambient mechanical vibrations produce large stresses in cantilevers resulting in elastocaloric...
PSK Method for Solving Mixed and Type-4 Intuitionistic Fuzzy Solid Transportation Problems
P. Kumar
Apr 01, 2019
In this article, the author categorises the solid transportation problem (STP) under uncertain environments. He formulates the mixed and fully intuitionistic fuzzy solid transportation problems (FIFSTPs) and utilizes the...
Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network

Piezoelectric tiles harvest mechanical vibrations and convert them into electrical energy, making them an attractive energy-harvesting technology. However, their performance is heavily influenced by the terrain where they are...

The predictive value of abnormal P-wave axis for the detection of incident atrial fibrillation
INTRODUCTION: There is growing interest in the prediction of incident atrial fibrillation (AF). The 12-lead electrocardiogram (ECG) has been a particularly rich target for possible prediction strategies. PURPOSE: The P-wave axis...
Analysis of mutations in pncA reveals non-overlapping patterns among various lineages of Mycobacterium tuberculosis
AbstractPyrazinamide (PZA) is an important first-line anti-tuberculosis drug, resistance to which occurs primarily due to mutations in pncA...
Efficient One-Pot Solvothermal Synthesis and Characterization of Zirconia Nanoparticle-Decorated Reduced Graphene Oxide Nanocomposites
This study mainly deals with an effective one-pot solvothermal synthetic pathway for the preparation of uniformly dispersed zirconium oxide nanoparticles on the flattened rough surface of reduced graphene oxide (ZrO2/rGO NCs)...
Monitoring the Land Use, Land Cover Changes of Roorkee Region (Uttarakhand, India) Using Machine Learning Techniques
Satellite images play an important role for capturing Earth's surface. Using satellite images land cover monitoring could be done through which the modification or changes on land surface could be identified. Comparison can be...
Nanobubbles in water and wastewater treatment systems
Since the discovery of nanobubbles (NBs) in 1994, NBs have been attracting growing attention for their fascinating properties and have been studied for application in various environmental fields, including water and wastewater...
Biogenic Photo-Catalyst TiO2 Nanoparticles for Remediation of Environment Pollutants.
This article reports a benign environmentally friendly fabrication method of titanium dioxide (TDO) nanoparticles (named TDO NPs3, TDO NPs5, and TDO NPs8) using aqueous extract of durva herb waste. This synthesis process avoids...
Negative Poisson’s ratio polyethylene matrix and 0.5BaCa0.8Zr0.2O3-0.5Ba0.7Ca0.3TiO3 based piezocomposite for sensing and energy harvesting applications
Finite element studies were conducted on 0.5Ba(Zr0.2 Ti0.8) O3-0.5(Ba0.7 Ca0.3)TiO3 (BCZT) piezoelectric particles embedded in polyethylene matrix to create a piezocomposite having a positive and negative Poisson's ratio of...
Efficient One-Pot Solvothermal Synthesis and Characterization of Zirconia Nanoparticle-Decorated Reduced Graphene Oxide Nanocomposites
This study mainly deals with an effective one-pot solvothermal synthetic pathway for the preparation of uniformly dispersed zirconium oxide nanoparticles on the flattened rough surface of reduced graphene oxide (ZrO2/rGO NCs)...
Nanobubbles in water and wastewater treatment systems
Since the discovery of nanobubbles (NBs) in 1994, NBs have been attracting growing attention for their fascinating properties and have been studied for application in various environmental fields, including water and wastewater...
Functional balance between Tcf21-Slug defines cellular plasticity and migratory modalities in high grade serous ovarian cancer cell lines.
Cellular plasticity and transitional phenotypes add to complexities of cancer metastasis that can be initiated by single cell epithelial to mesenchymal transition (EMT) or cooperative cell migration (CCM). Our study identifies...
Insights on Imparting Medical Education in Medieval India
Mumtaz Alam
Dec 20, 2019
The imparting of medical education in India since ancient to medieval times has been a theme of research among several historians like Mark Harrison, Deepak Kumar, Anil Kumar, Syed Ali Nadeem Rezavi, Irfan Habib and others, who...
Artificial Intelligence and Machine Learning for Job Automation
Job automation is a critical decision that has brought about profound changes in the workplace. However, the question of what drives job automation remains unclear. This study conducts an interdisciplinary review of five...
Efficient Traffic Sign Recognition Using CLAHE-Based Image Enhancement and ResNet CNN Architectures
Recognition and classification of traffic signs and other numerous displays on the road are very crucial for autonomous driving, navigation, and safety systems on roads. Machine learning or deep learning methods are generally...
Negative Poisson’s ratio polyethylene matrix and 0.5BaCa0.8Zr0.2O3-0.5Ba0.7Ca0.3TiO3 based piezocomposite for sensing and energy harvesting applications
Finite element studies were conducted on 0.5Ba(Zr0.2 Ti0.8) O3-0.5(Ba0.7 Ca0.3)TiO3 (BCZT) piezoelectric particles embedded in polyethylene matrix to create a piezocomposite having a positive and negative Poisson's ratio of...

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