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Institution

SRM University

EducationChennai, India
About: SRM University is a education organization based out in Chennai, India. It is known for research contribution in the topics: Computer science & Population. The organization has 10787 authors who have published 11704 publications receiving 103767 citations. The organization is also known as: Sri Ramaswamy Memorial University.


Papers
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Journal ArticleDOI
TL;DR: This study has demonstrated that the voices of PD patients has reduced FD, and NMI between voice recordings of PD–CO and PD–PD is higher compared with CO–CO, suggesting that the use of NMI obtained from the sample voice, when paired with known groups of CO and PD, can be used to identify PD voices.

63 citations

Journal ArticleDOI
TL;DR: The proposed automated learning with CA-SVM based sentiment analysis model reads the Twitter data set and classifies the tweet according to the support value which is measured based on the above two measures, and the attained results are validated utilizing k-fold cross-validation methodology.
Abstract: The modern society runs over the social media for their most time of every day. The web users spend their most time in social media and they share many details with their friends. Such information ...

63 citations

Journal ArticleDOI
27 Apr 2020
TL;DR: This paper has analyzed the WSN structure based on throughput maximization, latency minimization, high signal‐to‐noise ratio (SNR), minimum mean square error, and improved coverage area and proved that the proposed methodology provides better performance than conventional IoT‐based agriculture and farming.

63 citations

Journal ArticleDOI
TL;DR: Salivary TNF-α is proved to be superior for detecting oral squamous cell carcinoma and increase in T NF-α with histological grading and clinical staging suggests a role in prognosis.
Abstract: Background: Oral squamous cell carcinoma (OSCC) is an important malignancy throughout the world; early detection is an important criterion for achieving high cure rate. Out of the many reported markers for OSCC, this study validated the efficacy of tumor necrosis factor-α (TNF- α) in differentially diagnosing premalignant oral lesions and OSCC. Also, the study aimed to correlate the levels of salivary and serum TNFα with clinicopathologic factors. Materials and Methods: A prospective experimental laboratory study was designed. Serum and salivary samples from 100 subjects in each group of healthy control, premalignant disease (PMD) and OSCC were collected for the study following appropriate exclusion and inclusion criteria. Serum and salivary level of TNF-α was analysed by enzyme linked immunosorbent assay. The data obtained were subjected to appropriate statistical analysis. Results: Increased level of both serum and salivary TNF- α was observed in OSCC subjects compared to healthy control and PMD group. Receiver operator characteristic curve analysis and area under curve values showed high specificity and sensitivity for salivary TNF-α in differentiating OSCC from PMD and healthy controls. There was significant increase in TNF- α level in moderately and poorly differentiated lesion compared to well differentiated lesion and in stage IV of clinical stage. A positive correlation was observed only with histological grading of OSCC and TNF- α. Conclusions: Salivary TNF-α is proved to be superior for detecting OSCC. Increase in TNF-α with histological grading and clinical staging suggests a role in prognosis.

63 citations

Journal ArticleDOI
TL;DR: Iron oxide nanoparticles can be used as an effective surface modifier for biomaterials to prevent biofilm formation and enhanced biofilm inhibition was achieved against both the bacteria using external magnetic target and confirmed using fluorescence microscopy.
Abstract: In the present study, iron oxide nanoparticles (IONPs) were synthesized using the solvothermal method. The surface of the IONPs was modified with oleic acid (OA) and its role in anti-biofilm activity against clinical isolates of bacterial pathogens was studied. The physiochemical properties of OA-IONPs were characterized using vibrating sample magnetometer, X-ray diffraction, Fourier transform infrared, dynamic light scattering and scanning electron microscopy. The biofilm inhibitory effect of OA-IONPs was tested against Gram-positive (Staphylococcus aureus) and Gram-negative (Pseudomonas aeruginosa). The OA-IONPs showed a potent biofilm inhibitory effect in the case of Gram-positive bacteria and a less significant effect in Gram-negative bacteria. Further, enhanced biofilm inhibition was achieved against both the bacteria using external magnetic target and confirmed using fluorescence microscopy. In conclusion, OA-IONPs can be used as an effective surface modifier for biomaterials to prevent biofilm formation.

63 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023190
2022455
20212,917
20201,738
20191,361
20181,306