312 research outputs found
sj-docx-1-pie-10.1177_09544089221132438 - Supplemental material for A comparative study of solar photovoltaic operated milk cooler for realizing the need for load management and starting circuits
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221132438 for A comparative study of solar photovoltaic operated milk cooler for realizing the need for load management and starting circuits by Prasanna Naveen Kumar J, Rajendran Prabakaran and Mohan Lal D in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Experimental and theoretical study on large amplitude vibrations of clamped rubber plates
No full textIn this paper, the large amplitude forced vibrations of thin rectangular plates made of different types of rubbers are investigated both experimentally and theoretically. The excitation is provided by a concentrated transversal harmonic load. Clamped boundary conditions at the edges are considered, while rotary inertia, geometric imperfections and shear deformation are neglected since they are negligible for the studied cases. The von Kármán nonlinear strain-displacement relationships are used in the theoretical study; the viscoelastic behaviour of the material is modelled using the Kelvin-Voigt model, which introduces nonlinear damping. An equivalent viscous damping model has also been created for comparison. In-plane pre-loads applied during the assembly of the plate to the frame are taken into account. In the experimental study, two rubber plates with different material and thicknesses have been considered; a silicone plate and a neoprene plate. The plates have been fixed to a heavy rectangular metal frame with an initial stretching. The large amplitude vibrations of the plates in the spectral neighbourhood of the first resonance have been measured at various harmonic force levels. A laser Doppler vibrometer has been used to measure the plate response. Maximum vibration amplitude larger than three times the thickness of the plate has been achieved, corresponding to a hardening type nonlinear response. Experimental frequency-response curves have been very satisfactorily compared to numerical results. Results show that the identified retardation time increases when the excitation level is increased, similar to the equivalent viscous damping but to a lesser extent due to its nonlinear nature. The nonlinearity introduced by the Kelvin-Voigt viscoelasticity model is found to be not sufficient to capture the dissipation present in the rubber plates during large amplitude vibrations
Conformational pseudo-polymorphism and hydrogen bonding: benzthiazide anhydrate and monohydrate, an antihypertensive drug
No full textCrystal structures of benzthiazide [6-chloro-3-[[(phenylmethyl)thio]ethyl] 4H-1,2,4-benzthiadiazine-7-sulfonamide-1,1,dioxide] in its anhydrate and monohydrate forms reveal, respectively, a J-like folded as well as extended type conformations that have critical torsional flexibility along the C-C-S-C bonds and novel H-bonded sulfonamide motifs
Establishing empirical relation to predict temperature difference of vortex tube using response surface methodology
No full textVortex tube is a device that produces cold and hot air simultaneously from the source of compressed air. In this work an attempt has been made to investigate the effect of three controllable input variables namely diameter of the orifices, diameter of the nozzles and inlet pressure over the temperature difference in the cold side as output using Response Surface Methodology (RSM). Experiments are conducted using central composite design with three factors at three levels. The influence of vital parameters and interaction among these are investigated using analysis of variance (ANOVA). The proposed mathematical model in this study has proven to fit and in line with experimental values with a 95% confidence interval. It is found that the inlet pressure and diameter of nozzle are significant factors that affect the performance of vortex tube
Hope Speech detection in under-resourced Kannada language
No full text@article{hande-etal-kanhope,
title = "Hope Speech detection in under-resourced Kannada language",
author = "Hande, Adeep and
Priyadharshini, Ruba and
Sampath, Anbukkarasi and
Thamburaj, Kingston Pal and
Chandran, Prabakaran and
Chakravarthi, Bharathi Raja ",
journal={SN Computer Science},
publisher={Springer}
}Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively lesser amounts of study that converges on embracing positivity, reinforcing supportive and reassuring content in online forums. Consequently, we propose creating an English-Kannda Hope speech dataset, KanHope and comparing several experiments to provide benchmarking for the dataset. The dataset consists of 6,176 user-generated comments in code mixed Kannada crawled from YouTube and manually labelled as bearing hope speech or not-hope speech. In addition, we introduce DC-BERT4HOPE, a dual-channel model that uses the English translation of KanHopeEDI for additional training to promote hope speech detection. The approach achieves a weighted F1-score of 0.756, bettering other models. Henceforth, KanHope aims to instigate research in Kannada while broadly promoting researchers to take a pragmatic approach towards online content that encourages, positive, and supportive
EPR and optical investigation of Mn2+ doped L-histidine-4-nitrophenolate 4-nitrophenol single crystal
No full textNext-Generation Sequencing of Human Antibody Repertoires for Exploring B-cell Landscape, Antibody Discovery and Vaccine Development
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Maintenance emission information model: Developing an information model/tool to quantify CO2 emissions from maintenance activities of large number of assets in a Municipality
No full textThe construction industry in the Netherlands is taking numerous measures throughout the industry to achieve the possible reduction of CO2 emission or GHG emissions by 2050 to become carbon neutral. Based on the current situation the major focus is usually on the production and construction phase of a building or a civil infrastructure. To meet the requirements to minimize CO2 emissions, the municipalities and the stakeholders involved in the maintenance phase of civil structures have to improve the emission reduction process. This can be made possible if the quantification of the CO2 emission is improvised from the current status and focuses only on the maintenance activities alone.The results of the research are obtained from the developed information model. The information model allows the user to estimate the CO2 emissions from the maintenance activities of the assets located in a municipality. The data obtained from the estimation of CO2 is used in the dashboard of the information model to visualize and compare the data in terms of different criteria like building materials, size of the assets, location of the assets, heavy machinery usage, etc. This way, the decisions can be made by the involved stakeholders in asset management in the strategies of the maintenance planning of the assets or the overall municipality.This information model can add value to the existing life cycle applications since the maintenance or the usage phase emission is redefined and the necessary scope for maintenance is added to the existing scope. The consultants, asset owners/managers can monitor the CO2 emission from the maintenance activities specifically and can take any measures with the output data available from the information model. This information model currently quantifies the CO2 emission from the minor maintenance activities of the assets in a municipality. With this information, the next step can lead to optimizing the CO2 emission with other criteria like time and cost for the entire Municipality.Civil Engineering | Construction Management and Engineerin
Next-Generation Sequencing of Human Antibody Repertoires for Exploring B-cell Landscape, Antibody Discovery and Vaccine Development
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Usage of artificial intelligence tools in community-level X-ray triaging for tuberculosis in Chennai, Tamil Nadu
No full textBackground: The end tuberculosis (TB) strategy emphasises early and correct diagnosis of TB. Chest X-ray (CXR) is an essential tool for triaging and screening TB and confirming the diagnosis in fewer situations. Greater Chennai Corporation (GCC) implemented Mobile Diagnostic Units (MDUs) retrofitted with X-rays with artificial intelligence (AI).
Objectives: The study's objectives were to determine the X-ray triaging performance in MDU vans using AI tools in GCC, Tamil Nadu.
Materials and Methods: AI is to increase access to quality TB screening diagnostics in high-risk locations. Genki AI-powered Public Health Screening Solution from Deeptek used for TB triaging after uploading CXR images from MDU. X-ray has been uploaded in AI software once taken, and the results were available immediately after uploading. The radiologist reports helped to take further courses of action.
Results: A total of 79,462 CXR was taken from April 2019 to April 2022 from 7 MDU vans. Amongst 3.4% were identified as suggestive of TB, 1.4% old TB, 0.89% COVID (from 2020) and 7.2% other chest abnormalities. The sensitivity of CXR-AI was 0.98 (95% confidence interval [CI]: 0.97, 0.98), and the specificity was 0.96 (95% CI: 0.96, 0.97).
Conclusion: AI helps in faster triage for further public health action and eliminates the challenges of the availability of functional X-rays, interpretation and reporting
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