417 research outputs found
sj-docx-1-pie-10.1177_09544089221122015 - Supplemental material for Development of an IoT integrated DMAIC model for process improvement in Indian SMEs: An empirical study
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089221122015 for Development of an IoT integrated DMAIC model for process improvement in Indian SMEs: An empirical study by M Gomathi Prabha and M Yuvaraja in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Bibliographic Coupling and Collaborative Network Analysis on Aerospace Publications: Based on Scientometric Approach
No full text<p><span>Aerospace is one of the growing industries; it has determined a particular country's economic growth. Over the preceding two decades, the aerospace sector has seen tremendous growth. Therefore, "Aerospace" has been considered for scholarly attention from the Web of Science database from 2013 to 2022. Nevertheless, in extant literature in the aerospace field, the researchers have failed to conduct a scientometric approach in collaborative network analysis and bibliographic coupling analysis. </span><span>The study has been conducted using the scientometric approach to understand the current trend of aerospace publications. The software tools Bibexcel and VOS Viewer were used for analyzing the data. Further analysis was utilized through Microsoft Office and Excel statistical tools. </span><span>The analyzed 20250 bibliographic data has been collected. The study's findings show that year-wise publications increased from 2013 (965) to 2022 (3,953), and the annual growth rate shows a fluctuating trend. The eminent author of the study is Wang J. He has published <span>146(72%)</span> publications, and collaborative authorship shows that authors Li J and Zhang Y have highly collaborated on aerospace publications with 12(0.05%). </span><span>In conclusion, Peoples R China has many publications, 7421(36.54%), and Peoples R China has collaborated with the UK, the US, and Singapore. The Chinese Academy of Science institution has published 556(2.7%) of documents more than other institutions. </span><span>The findings from the study could be helpful for future research issues and directions. The present study has provided a comprehensive insight into Aerospace publication trends and collaborative networks of authors and countries and analyzed the bibliographic coupling networks between authors' countries and documents. </span></p>
Bioactive 4-phenylcoumarins from Mesua Elegans and Mesua Kunstleri / Chan Gomathi
No full textPhytochemical analyses on the bark of two Clusiaceae plants, Mesua elegans and
Mesua kunstleri, were carried out. Twenty-four compounds were successfully isolated
using several chromatographic techniques; column chromatography (CC), thin layer
chromatography (TLC), preparative thin layer chromatography (PTLC), centrifugal
partition chromatography (CPC) and high performance liquid chromatography (HPLC).
The structures of the isolated compounds were elucidated using various spectroscopic
methods; 1D-NMR (1H, 13C and DEPT), 2D-NMR (COSY, HSQC, HMBC and
NOESY), UV, IR, HRESIMS and by comparison with data from the literature.
A total of twenty-two compounds were isolated from M. elegans, namely mammea
A/BA 28, 5,7-dihydroxy-8-(2-methylbutanoyl)-6-[(E)-3,7-dimethylocta-2,6-dienyl]-4-
phenyl-2H-chromen-2-one 47, 5,7-dihydroxy-8-(3-methylbutanoyl)-6-[(E)-3,7-
dimethylocta-2,6-dienyl]-4-phenyl-2H-chromen-2-one 48, mammea A/BB 55, mammea
A/BA cyclo D 187, mesuagenin A 189, mesuagenin B 190, mesuagenin C 191,
ochrocarpin E 192, mammea A/BB cyclo F 193, mammea A/BA cyclo F 194,
mesuagenin F 195, mesuagenin D 196, isodisparfuran 197, mesuagenin G 198,
mesuagenin H 199, mesuagenin I 200, mesuagenin J 201, mesuagenin K 202,
mesuagenin L 203, mesuagenin M 204 and mesuagenin N 205, of which thirteen are
new; mesuagenin A 189, mesuagenin B 190, mesuagenin C 191, mesuagenin F 195,
mesuagenin D 196, mesuagenin G 198, mesuagenin H 199, mesuagenin I 200,
mesuagenin J 201, mesuagenin K 202, mesuagenin L 203, mesuagenin M 204 and
mesuagenin N 205.
iii
From M. kunstleri, a total of ten compounds were isolated, which are mammea A/BA
28, 5,7-dihydroxy-8-(2-methylbutanoyl)-6-[(E)-3,7-dimethylocta-2,6-dienyl]-4-phenyl-
2H-chromen-2-one 47, 5,7-dihydroxy-8-(3-methylbutanoyl)-6-[(E)-3,7-dimethylocta-
2,6-dienyl]-4-phenyl-2H-chromen-2-one 48, mammea A/BB 55, mammea A/BB cyclo
D 186, mammea A/BA cyclo D 187, mesuagenin E 188, mesuagenin A 189,
mesuagenin B 190 and mesuagenin C 191, of which one is new; mesuagenin E 188.
Bioassay-guided study of the bark from M. elegans afforded mesuagenin B 190 from
the hexane fraction as the active constituent for acetylcholinesterase (AChE) inhibition
activity with an IC50 value of 0.70 μM. Further isolation work carried out on this hexane
extract afforded more natural 4-phenylcoumarins Semi-synthetic work was done on the
major 4-phenylcoumarins from this extract, which afforded seventeen semi-synthetic
compounds. All of the natural and semi-synthetic 4-phenylcoumarin analogues were
subjected to a SAR study for AChE activity. Another bioassay-guided study was carried
out to isolate and evaluate the neuroprotective compounds from the hexane extract of
the bark of M. kunstleri. Mesuagenin C 191 was isolated as the most active compound;
cell viability data demonstrated that this compound significantly increased cell viability
(78.99 ± 3.49%) after NG108-15 cells were exposed to 2 mM H2O2 and 2 hours of
pretreatment with mesuagenin C 191
Tooley, Dixon and Gomathi on private education in Hyderabad: a reply
No full textTooley, Dixon and Gomathi maintain that private unrecognised unaided schools in Hyderabad, India, catering for children of the poor, provide a better level of education than do their government counterparts. We examine this contention and argue first that Tooley et al.'s conceptualisation of education and its benefits is flawed and second that the evidence selected and provided to prove the empirical side of the case is one-sided and unrepresentative. We conclude that their case remains unproven and that flaws in the argument and its evidence provide no substantial case for their contention
M. Vadivelu Mudaliar's text Description about the Sivavakkiyar songs
No full textThis article is about the eloquence of the narrator Vadivel Mudaliar. Demonstrates his erudition and the strategies he has adopted in his speech. Texts are structured according to the purpose of the text and the background of the authors. The eloquence of each narrator varies according to the nature of the texts they handle. Vadivelu Mudaliar has written texts for Sivavakkiyar's songs on various strategies. In it, the text is stated based on semantic interpretation. He follows the principle of summation and adopts the technique of expressing multiple meanings in a word. Quiz-based narration is a method followed by Ilambooranar. He uses it in the songs of Sivavakkiya. The text is set up in the form of asking and answering a question. He has quoted from other texts and explained the verse in the form of a quotation mark. VadiveluMudaliar has written the lyrics for the songs of Sivavakkiyar Title, Explaining the relevance of the title and remove the sariyai, such as following the techniques
Comparison of fatty acids profile and antioxidant enzyme level of cladoceran Moina brachiata (jurine, 1820) from freshwater bodies of Chennai
No full textOmega-3 family (ω-3) of polyunsaturated fatty acids (PUFA) was considered as an important biochemical for the physiological function of all trophic level animals. In this study, we demonstrated the effect of algal diet on fatty acids composition (FA), antioxidant enzymes and DNA damage of Moina brachiata from Adyar River and Kolavoi Lake. 8 different fatty acids were identified in M. brachiata through GC-MS analysis and we noticed two PUFA (Eicosapentaenoic acid, EPA 20:5 (ω-3); Linoleic acid 18:2 (ω-6)). The dietary fatty acid accumulation and bioconversion capacity of M. brachiata have differed in two lakes fed with algal diet. The high amount of ω-3 PUFA was observed in M. brachiata fed with Scenedesmus sp. in Kolavoi Lake (35.84%) followed by Adyar River (33.78%). PUFA content was significantly declined in wild M. brachiata of Adyar River (17.44%) followed by Kolavoi lake (25.78%). On the other hand, high level of Malondialdehyde (MDA) and decreasing level of key antioxidant enzymes likes Superoxide dismutase (SOD), Catalase (CAT), Glutathione peroxidase (GSH) and DNA damage were observed in wild M. brachiata of Adyar River. Hence, the algal diet could enhance the level of antioxidant enzyme activity by decreasing the level of MDA and it does not show DNA damage on M. brachiata. Overall, the results obtained in this study explored that Scenedesmus sp., has the ability to enhance the PUFA content, antioxidant enzyme activity and prevent the DNA damage in M. brachiata which was declined in the wild animal due to the environmental stress conditions.</jats:p
Voting-Based Deep Convolutional Neural Networks (VB-DCNNs) for M-QAM and M-PSK Signals Classification
No full textAutomatic modulation classification (AMC) using convolutional neural networks (CNNs) is an active area of research that has the potential to improve the efficiency and reliability of wireless communication systems significantly. AMC is the approach used in a communication system to detect the type of modulation format at the receiver end. This paper proposes a voting-based deep convolutional neural network (VB-DCNN) for classifying M-QAM and M-PSK signals. M-QAM and M-PSK signal waveforms are generated and passed through the fading channel in the presence of additive white Gaussian noise (AWGN). The VB-DCNN extracts features from the input signal through convolutional layers, and classification is performed on these features. Multiple network instances are trained on different subsets of training data in the VB-DCNN. A network instance predicts the input signal during testing. Based on the votes, the final prediction is made. Different simulation experiments are carried out to analyze the performance of the trained network, and the DCNN is designed with the Deep Neural Network Toolbox in MATLAB. The generated frames are divided into training, validation, and test datasets. Lastly, the classification accuracy of the trained network is determined using test frames. The proposed model’s accuracy is near to 100% at lower SNRs. The simulation results show the superiority of the proposed VB-DCNN compared to existing state-of-the-art techniques
Remineralizing effect of commercially available two herbal dentifrices on human teeth-An in vitro evaluation
No full textBackground: Dental caries is most prevalent oral infections worldwide, characterized by a progressive demineralization that affects the mineralized dental tissues. Although the decline of dental caries prevalence can be attributed to the widespread use of dentifrices that contain fluoride, there is a need for an advanced alternative fluoride remineralizing dentifrice preferably, herbal-based dentifrices. Aim: To investigate and compare the remineralization effect of demineralized human enamel using two herbal toothpastes via in vitro method. Materials and Methods: An in vitro study was conducted on 40 extracted natural teeth. Crowns and roots were sectioned at cementoenamel junction, and crowns were further sectioned to buccal and lingual halves. All the teeth samples were examined for baseline hardness level by Vickers hardness tester. Samples were kept for demineralization continuously for 48 h and postdemineralization hardness values were also evaluated. Samples randomly divided and allocated into two groups for remineralization procedure. Group A -Dabur Red (N = 20) and Group B - Patanjali Dant Kanti (N = 20). Remineralization using two dentifrice slurries was performed for 10 days and postremineralization hardness estimated. Data were collected and analyzed using Student's unpaired t-test and analysis of variance (ANOVA). Intergroup analysis was done using Student's t-test and intragroup analysis at baseline, demineralization and remineralization was done using ANOVA. Results: A highly significant difference in the Vickers hardness was observed between the two groups with Group A showing increased mean hardness levels in comparison to Group B (P < 0.001) and there was a significant change in hardness observed from baseline, demineralization, and remineralization of both Dabur Red (Group A) and Patanjali (Group B). Conclusions: Both the herbal toothpastes showed better remineralization potential but still Dabur Red showed highest remineralization when compared to Patanjali Dant Kanti. The role of herbal dentifrices as a remineralizing agent appears to be as effective as conventional toothpastes
Bibliographic coupling and collaborative network analysis on Aerospace publications: based on scientometric approach
No full textObjective. Aerospace is one of the growing industries; it has determined a particular country's economic growth. Over the preceding two decades, the aerospace sector has seen tremendous growth. Therefore, "Aerospace" has been considered for scholarly attention from the Web of Science database from 2013 to 2022. Nevertheless, in extant literature in the aerospace field, the researchers have failed to conduct a scientometric approach in collaborative network analysis and bibliographic coupling analysis. Design/Methodology/Approach. The study has been conducted using the scientometric approach to understand the current trend of aerospace publications. The software tools Bibexcel and VOS Viewer were used for analyzing the data. Further analysis was utilized through Microsoft Office and Excel statistical tools. Results/Discussion. The analyzed 20250 bibliographic data has been collected. The study's findings show that year-wise publications increased from 2013 (965) to 2022 (3,953), and the annual growth rate shows a fluctuating trend. The eminent author of the study is Wang J. He has published 146(72%) publications, and collaborative authorship shows that authors Li J and Zhang Y have highly collaborated on aerospace publications with 12(0.05%). The data from the analysis carried out are available at: https://zenodo.org/records/10663289 Conclusions. In conclusion, Peoples R China has many publications, 7421(36.54%), and Peoples R China has collaborated with the UK, the US, and Singapore. The Chinese Academy of Science institution has published 556(2.7%) of documents more than other institutions. Originality value. The findings from the study could be helpful for future research issues and directions. The present study has provided a comprehensive insight into Aerospace publication trends and collaborative networks of authors and countries and analyzed the bibliographic coupling networks between authors' countries and documents.
Study of C-Peptide and Glycoyslated Hemoglobinin Obese Individuals With and Without Type 2 Diabetes Mellitus in Rural Tertiary Care Hospital in Kancheepuram District
No full textAIM OF THE STUDY:
To estimate the levels of serum C-peptide and HbA1c in obese individuals with and without type 2 diabetes mellitus. To correlate the relationship between levels of C-peptide in obese individuals with and without type 2 diabetes mellitus and to correlate the relationship between levels of HbA1c, fasting and post-prandial blood glucose, lipid profile, in obese individuals with and without type 2 diabetes mellitus
METHODS:
An observational study has been carried out during the period of October 2018 to July 2020.Obese individuals diagnosed with Type 2 Diabetes Mellitus and Obese individuals without Type 2 Diabetes Mellitus with age group of 40 to 60 years were selected for the study. The total numbers of samples for the study were 30 cases and 30 controls attending the outpatient and Inpatient Department of General Medicine, Karpaga Vinayaga Institute of Medical Sciences & Research Centre. C-Peptide, Fasting and Post-Prandial Plasma Glucose,HbA1c, Renal function test and Lipid Profile was seen in both the groups.
RESULTS:
Along with insulin, C-peptide is produced in equal amounts and is the best measure for endogenous insulin in diabetic individuals. A strong positive correlation between BMI and C-peptide can be seen in both obese diabetic (p value =0.005) and obese non-diabetic (p value=0.000).This shows that as BMI increases, C-peptide also increases. Age,HbA1c and C-peptide can be used as predictive tools for predicting pre-diabetes in the non-diabetic population.
CONCLUSION:
Since, measurement of C-peptide is a better index of endogenous insulin production and pancreatic beta cell function than insulin measurements, this study suggests routine C-peptide testing along with HbA1c in high risk Non-Diabetic individuals for predicting the development of prediabetic state based on their age
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