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Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network
Jitendra Adhikari, Kamalpreet Singh, Anjani Kumar Sagar, Vikki Kumar Sharma, Rajeev Kumar, Satish Chandra Jain
Sep 13, 2023
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...
energy harvesting experiment Finite element analysis Machine Learning piezoelectric materials /dk/atira/pure/subjectarea/asjc/2600/2613 name=Statistics and Probability /dk/atira/pure/subjectarea/asjc/2600/2612 name=Numerical Analysis /dk/atira/pure/subjectarea/asjc/2600/2611 name=Modelling and Simulation /dk/atira/pure/subjectarea/asjc/1000 name=General
Over one third of patients with symptomatic femoroacetabular impingement display femoral or acetabular version abnormalities.
Zaki Arshad, Henry David Maughan, Karadi Hari Sunil Kumar, Matthew Pettit, Arvind Arora, Vikas Khanduja
Aug 26, 2021
PURPOSE: The aim of this study was investigate the relationship between version and torsional abnormalities of the acetabulum, femur and tibia in patients with symptomatic FAI. METHODS: A systematic review was performed...
Prediction of Piezoelectric Tile Performance in Flat and Mountainous Terrains Through Deep Neural Network
Jitendra Adhikari, Kamalpreet Singh, Anjani Kumar Sagar, Vikki Kumar Sharma, Rajeev Kumar, Satish Chandra Jain
Sep 13, 2023
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...
energy harvesting experiment Finite element analysis Machine Learning piezoelectric materials /dk/atira/pure/subjectarea/asjc/2600/2613 name=Statistics and Probability /dk/atira/pure/subjectarea/asjc/2600/2612 name=Numerical Analysis /dk/atira/pure/subjectarea/asjc/2600/2611 name=Modelling and Simulation /dk/atira/pure/subjectarea/asjc/1000 name=General
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...
Published by: IGI Global Scientific Publishing
CMOS Radio Frequency Energy Harvester (RFEH) with Fully On-Chip Tunable Voltage-Booster for Wideband Sensitivity Enhancement.
Yizhi Li, Jagadheswaran Rajendran, Selvakumar Mariappan, Arvind Singh Rawat, Sofiyah Sal Hamid, Narendra Kumar, Masuri Othman, Arokia Nathan
Mar 28, 2023
Radio frequency energy harvesting (RFEH) is one form of renewable energy harvesting currently seeing widespread popularity because many wireless electronic devices can coordinate their communications via RFEH, especially in CMOS...
Published by: Micromachines
An evaluation of the risk of airborne transmission of COVID-19 on an inter-city train carriage.
Huw Woodward, Rick JB de Kreij, Emily S Kruger, Shiwei Fan, Arvind Tiwari, Sarkawt Hama, Simon Noel, Megan S Davies Wykes, Prashant Kumar, Paul F Linden
Oct 25, 2022
Analysis of mutations in pncA reveals non-overlapping patterns among various lineages of Mycobacterium tuberculosis
Abstract Pyrazinamide (PZA) is an important first-line anti-tuberculosis drug, resistance to which occurs primarily due to mutations in pncA ...
Ramani Baddam, Narender Kumar, Lothar H Wieler, Aditya Kumar Lankapalli, Niyaz Ahmed, Sharon J Peacock, Torsten Semmler
May 30, 2018
Amyloidogenic proteins in the SARS-CoV and SARS-CoV-2 proteomes.
Taniya Bhardwaj, Kundlik Gadhave, Shivani K Kapuganti, Prateek Kumar, Zacharias Faidon Brotzakis, Kumar Udit Saumya, Namyashree Nayak, Ankur Kumar, Richa Joshi, Bodhidipra Mukherjee, Aparna Bhardwaj, Krishan Gopal Thakur, Neha Garg, Michele Vendruscolo, Rajanish Giri
Feb 20, 2023
Anti-thrombotic efficacy of S007-867
Ankita Misra, Prem Prakash, Hobby Aggarwal, Priyanka Dhankani, Sachin Kumar, Chandra Prakash Pandey, Nicholas Pugh, Dominique Bihan, Manoj Kumar Barthwal, Richard W Farndale, Dinesh Kumar Dikshit, Madhu Dikshit
Mar 15, 2018
Pharmacological inhibition of platelet collagen interaction is a promising therapeutic strategy to treat intra-vascular thrombosis. S007-867 is a novel synthetic inhibitor of collagen-induced platelet aggregation. It has shown...
Blood Flow Velocity Collagen Hemostasis Platelet Activation Thrombosis Animals Aspirin Blood Coagulation Chlorides Clopidogrel Dose-Response Relationship Drug Ferric Compounds Fibrinolytic Agents Male Mice Piperidines Platelet Adhesiveness Platelet Aggregation Pyrrolidines Rats Rats Sprague-Dawley Thrombosis
Efficient One-Pot Solvothermal Synthesis and Characterization of Zirconia Nanoparticle-Decorated Reduced Graphene Oxide Nanocomposites
Nalinee Kanth Kadiyala, Badal Kumar Mandal, L Vinod Kumar Reddy, Crispin HW Barnes, Luis De Los Santos Valladares, Dwaipayan Sen
Feb 23, 2023
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)...
Analysis of mutations in pncA reveals non-overlapping patterns among various lineages of Mycobacterium tuberculosis.
Ramani Baddam, Narender Kumar, Lothar H Wieler, Aditya Kumar Lankapalli, Niyaz Ahmed, Sharon J Peacock, Torsten Semmler
Sep 26, 2018
Pyrazinamide (PZA) is an important first-line anti-tuberculosis drug, resistance to which occurs primarily due to mutations in pncA (Rv2043c) that encodes the pyrazinamidase enzyme responsible for conversion of pro-drug PZA into...
Hybrid Artificial Intelligence-Based Models for Prediction of Death Rate in India Due to COVID-19 Transmission
Dharmendra Rajput, Arvind Yadav, Vinod Kumar, Devendra Joshi, Haripriya Mishra, Basavaraj Paruti
Jan 30, 2023
COVID-19 prediction models are highly welcome and necessary for authorities to make informed decisions. Traditional models, which were used in the past, were unable to reliably estimate death rates due to procedural flaws. The...
Published by: IGI Global Scientific Publishing
Nanobubbles in water and wastewater treatment systems
Mingyi Jia, Muhammad Usman Farid, Jehad A. Kharraz, Nallapaneni Manoj Kumar, Shauhrat S. Chopra, Am Jang, John Chew, Samir Kumar Khanal, Guanghao Chen, Alicia An
Oct 15, 2023
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...
Nanobubble aeration Nanobubble flotation Nanobubble technology Nanobubbles Water and wastewater treatment /dk/atira/pure/subjectarea/asjc/2300/2312 name=Water Science and Technology /dk/atira/pure/subjectarea/asjc/2300/2302 name=Ecological Modelling /dk/atira/pure/subjectarea/asjc/2300/2310 name=Pollution /dk/atira/pure/subjectarea/asjc/2300/2311 name=Waste Management and Disposal /dk/atira/pure/subjectarea/asjc/2300/2305 name=Environmental Engineering /dk/atira/pure/subjectarea/asjc/2200/2205 name=Civil and Structural Engineering
Once reinforced random walk on Z × Γ
We revisit Vervoort’s unpublished paper (Vervoort (2002)) on the once reinforced random walk, and prove that this process is recurrent on any graph of the form Z × Γ, with Γ a finite graph, for sufficiently large...
Biogenic Photo-Catalyst TiO2 Nanoparticles for Remediation of Environment Pollutants.
Boya Palajonnala Narasaiah, Pravallika Banoth, Angel Guillermo Bustamante Dominguez, Badal Kumar Mandal, Challa Kiran Kumar, Crispin HW Barnes, Luis De Los Santos Valladares, Pratap Kollu
Sep 07, 2022
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...
Amyloidogenic proteins in the SARS-CoV and SARS-CoV-2 proteomes.
Taniya Bhardwaj, Kundlik Gadhave, Shivani K Kapuganti, Prateek Kumar, Zacharias Faidon Brotzakis, Kumar Udit Saumya, Namyashree Nayak, Ankur Kumar, Richa Joshi, Bodhidipra Mukherjee, Aparna Bhardwaj, Krishan Gopal Thakur, Neha Garg, Michele Vendruscolo, Rajanish Giri
Mar 24, 2023
The phenomenon of protein aggregation is associated with a wide range of human diseases. Our knowledge of the aggregation behaviour of viral proteins, however, is still rather limited. Here, we investigated this behaviour in the...
Animals Mammals Humans Proteome Amyloidogenic Proteins covid-19 SARS-CoV-2 Severe acute respiratory syndrome-related coronavirus
Published by: Nature Communications
Efficient One-Pot Solvothermal Synthesis and Characterization of Zirconia Nanoparticle-Decorated Reduced Graphene Oxide Nanocomposites
Nalinee Kanth Kadiyala, Badal Kumar Mandal, L Vinod Kumar Reddy, Crispin HW Barnes, Luis De Los Santos Valladares, Dwaipayan Sen
Jan 18, 2023
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)...
Functional balance between Tcf21-Slug defines cellular plasticity and migratory modalities in high grade serous ovarian cancer cell lines.
Sagar S Varankar, Madhuri More, Ancy Abraham, Kshama Pansare, Brijesh Kumar, Nivedhitha J Narayanan, Mohit Kumar Jolly, Avinash M Mali, Sharmila A Bapat
Dec 19, 2019
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...
Nanobubbles in water and wastewater treatment systems
Mingyi Jia, Muhammad Usman Farid, Jehad A. Kharraz, Nallapaneni Manoj Kumar, Shauhrat S. Chopra, Am Jang, John Chew, Samir Kumar Khanal, Guanghao Chen, Alicia An
Oct 15, 2023
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...
Nanobubble aeration Nanobubble flotation Nanobubble technology Nanobubbles Water and wastewater treatment /dk/atira/pure/subjectarea/asjc/2300/2312 name=Water Science and Technology /dk/atira/pure/subjectarea/asjc/2300/2302 name=Ecological Modelling /dk/atira/pure/subjectarea/asjc/2300/2310 name=Pollution /dk/atira/pure/subjectarea/asjc/2300/2311 name=Waste Management and Disposal /dk/atira/pure/subjectarea/asjc/2300/2305 name=Environmental Engineering /dk/atira/pure/subjectarea/asjc/2200/2205 name=Civil and Structural Engineering
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...
Published by: Department of History, University of Karachi
Pressure-Induced Enhancement of Thermoelectric Figure of Merit and Structural Phase Transition in TiNiSn.
Jason L Baker, Changyong Park, Curtis Kenney-Benson, Vineet Kumar Sharma, V Kanchana, G Vaitheeswaran, Chris J Pickard, Andrew Cornelius, Nenad Velisavljevic, Ravhi S Kumar
Jan 13, 2021
Half-Heusler thermoelectric materials are potential candidates for high thermoelectric efficiency. We report high-pressure thermoelectric and structural property measurements, density functional theory calculations on the...
A COMPUTATIONAL FRAMEWORK FOR EDGE-PRESERVING REGULARIZATION IN DYNAMIC INVERSE PROBLEMS
We devise efficient methods for dynamic inverse problems, where both the quantities of interest and the forward operator (measurement process) may change in time. Our goal is to solve for all the quantities of interest...
Computerized tomography dynamic inversion edge-preservation generalized Krylov subspaces Image deblurring majorization-minimization photoacoustic tomography regularization time-dependence /dk/atira/pure/subjectarea/asjc/2600/2603 name=Analysis /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics
Semantics derived automatically from language corpora contain human-like biases
Machine learning is a means to derive artificial intelligence by discovering patterns in existing data. Here, we show that applying machine learning to ordinary human language results in human-like semantic biases. We replicated...
Semantics derived automatically from language corpora contain human-like biases
Machine learning is a means to derive artificial intelligence by discovering patterns in existing data. Here, we show that applying machine learning to ordinary human language results in human-like semantic biases. We replicated...
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