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Srivastava S, Basak U, Naghibi M, Vijayakumar V, Parihar R, Patel J, Jadon PS, Pandit A, Dargad RR, Khanna S, Kumar S, Day R. A randomized double-blind, placebo-controlled trial to evaluate the safety and efficacy of live Bifidobacterium longum CECT 7347 (ES1) and heat-treated Bifidobacterium longum CECT 7347 (HT-ES1) in participants with diarrhea-predominant irritable bowel syndrome. Gut Microbes 2024; 16:2338322. [PMID: 38630015 PMCID: PMC11028008 DOI: 10.1080/19490976.2024.2338322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/29/2024] [Indexed: 04/19/2024] Open
Abstract
To determine the efficacy of the probiotic Bifidobacterium longum CECT 7347 (ES1) and postbiotic heat-treated Bifidobacterium longum CECT 7347 (HT-ES1) in improving symptom severity in adults with diarrhea-predominant irritable bowel syndrome (IBS-D), a randomised, double-blind, placebo-controlled trial with 200 participants split into three groups was carried out. Two capsules of either ES1, HT-ES1 or placebo were administered orally, once daily, for 84 days (12 weeks). The primary outcome was change in total IBS-Symptom Severity Scale (IBS-SSS) score from baseline, compared to placebo. Secondary outcome measures were stool consistency, quality of life, abdominal pain severity and anxiety scores. Safety parameters and adverse events were also monitored. The change in IBS-SSS scores from baseline compared to placebo, reached significance in the ES1 and HT-ES1 group, on Days 28, 56 and 84. The decrease in mean IBS-SSS score from baseline to Day 84 was: ES1 (-173.70 [±75.60]) vs placebo (-60.44 [±65.5]) (p < .0001) and HT-ES1 (-177.60 [±79.32]) vs placebo (-60.44 [±65.5]) (p < .0001). Secondary outcomes included changes in IBS-QoL, APS-NRS, stool consistency and STAI-S and STAI-T scores, with changes from baseline to Day 84 being significant in ES1 and HT-ES1 groups, compared to the placebo group. Both ES1 and HT-ES1 were effective in reducing IBS-D symptom severity, as evaluated by measures such as IBS-SSS, IBS-QoL, APS-NRS, stool consistency, and STAI, in comparison to the placebo. These results are both statistically significant and clinically meaningful, representing, to the best of the authors' knowledge, the first positive results observed for either a probiotic or postbiotic from the same strain, in this particular population.
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Affiliation(s)
- S Srivastava
- Clinical Development & Science Communications, Vedic Lifesciences Pvt Ltd, Mumbai, India
| | - U Basak
- Clinical Development & Science Communications, Vedic Lifesciences Pvt Ltd, Mumbai, India
| | - M Naghibi
- Medical Department, ADM Health & Wellness, London, UK
| | - V Vijayakumar
- Medical Department, ADM Health & Wellness, London, UK
| | - R Parihar
- Gastroenterology Department, Gastroplus Digestive Disease Centre, Ahmedabad, India
| | - J Patel
- Gastroenterology Department, Apex Gastro Clinic and Hospital, Ahmedabad, India
| | - PS Jadon
- Medicine Department, Jaipur National University Institute for Medical Science & Research Centre, Jaipur, India
| | - A Pandit
- General Surgery Department, United Multispeciality Hospital, Maharashtra, India
| | - RR Dargad
- Medicine Department, Lilavati Hospital & Research Centre, Maharashtra, India
| | - S Khanna
- Gastroenterology Department, Criticare Asia Multispeciality hospital, Maharashtra, India
| | - S Kumar
- Independent Biostatistical Consultant, Delhi, India
| | - R Day
- Medical Department, ADM Health & Wellness, London, UK
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Ma YK, Pradeesh J, Shukla A, Vijayakumar V, Jothimani K. An analysis on the approximate controllability of neutral impulsive stochastic integrodifferential inclusions via resolvent operators. Heliyon 2023; 9:e20837. [PMID: 37916097 PMCID: PMC10616146 DOI: 10.1016/j.heliyon.2023.e20837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 09/28/2023] [Accepted: 10/09/2023] [Indexed: 11/03/2023] Open
Abstract
This article focuses on the approximate controllability of impulsive neutral stochastic integrodifferential inclusions in Hilbert spaces. We used resolvent operators, fixed point approaches, and semigroup theory to achieve the article's main results. First, we focus on the existence of approximate controllability, and we develop the existence results with nonlocal conditions. At last, an application is provided to illustrate the concept.
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Affiliation(s)
- Yong-Ki Ma
- Department of Applied Mathematics, Kongju National University, Chungcheongnam-do 32588, Republic of Korea
| | - J. Pradeesh
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamilnadu, India
| | - Anurag Shukla
- Department of Applied Sciences, Rajkiya Engineering College Kannauj, Kannauj 209732, India
| | - V. Vijayakumar
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamilnadu, India
| | - K. Jothimani
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, Tamilnadu, India
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Morris RW, Williams NM, Gordji RR, Lirette ST, Howell WC, McAlpin KN, Vijayakumar V. Increasing Utilization and Improving Documentation in a Radiology Critical Alert System. Curr Probl Diagn Radiol 2023; 52:230-232. [PMID: 37032290 DOI: 10.1067/j.cpradiol.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 03/16/2023] [Indexed: 04/11/2023]
Abstract
Effective communication of critical imaging findings is an important patient safety issue. Despite an increase in exam volumes, our institution saw a decrease in the number of alerts sent through our critical alert system, indicating that critical findings were not being communicated. The purpose of our interventions was to increase the number of critical alerts, while also improving documentation and improving our provider database. We used a program of education for our radiologists and systematic reinforcement to increase the usage of our critical alert system. We also implemented a new time-stamp macro in our dictation system to improve documentation of emergency alerts, and engaged with other departments to improve the contact information in our provider database. Our interventions led to an increase in the monthly number of critical alerts, most notably for findings that require clinical or imaging follow-up (17 alerts per month). There was also a steady improvement in documentation (96.9% compliance), along with an increase in the number of alerts to providers with current contact information (0.5% per month). Our efforts show that educational and collaborative efforts can result in improved communication of radiologic critical results.
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Affiliation(s)
- Robert W Morris
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS.
| | - Nilda M Williams
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS
| | - Rana R Gordji
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS
| | - Seth T Lirette
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS
| | - Wendy C Howell
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS
| | - Karri N McAlpin
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS
| | - Vani Vijayakumar
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS
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McClung G, Vijayakumar V, Nagar K, Islam A, Nadolski G, Hunt S, Ackerman D, Gade T. Abstract No. 141 Development and Characterization of Patient-Derived Rat Models of Hepatocellular Carcinoma for Interventional Oncology. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2023] Open
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Vijayakumar V, Elkhadragy L, Schook L, Gaba R, El-Kebir M, Schachtschneider K. Abstract No. 244 Characterization of Intratumor Heterogeneity in a Porcine Hepatocellular Carcinoma Model. J Vasc Interv Radiol 2023. [DOI: 10.1016/j.jvir.2022.12.307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023] Open
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Muacevic A, Adler JR, Nittala MR, Velazquez AE, Huddleston BL, Rugnath NA, Adari N, Yajurvedi AK, Komanduri A, Yang CC, Duggar WN, Berlin WP, Duszak R, Vijayakumar V. Changing Role of PET/CT in Cancer Care With a Focus on Radiotherapy. Cureus 2022; 14:e32840. [PMID: 36694538 PMCID: PMC9867792 DOI: 10.7759/cureus.32840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/22/2022] [Indexed: 12/24/2022] Open
Abstract
Positron emission tomography (PET) integrated with computed tomography (CT) has brought revolutionary changes in improving cancer care (CC) for patients. These include improved detection of previously unrecognizable disease, ability to identify oligometastatic status enabling more aggressive treatment strategies when the disease burden is lower, its use in better defining treatment targets in radiotherapy (RT), ability to monitor treatment responses early and thus improve the ability for early interventions of non-responding tumors, and as a prognosticating tool as well as outcome predicting tool. PET/CT has enabled the emergence of new concepts such as radiobiotherapy (RBT), radioimmunotherapy, theranostics, and pharmaco-radiotherapy. This is a rapidly evolving field, and this primer is to help summarize the current status and to give an impetus to developing new ideas, clinical trials, and CC outcome improvements.
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Vani M, Gopalan DH, Manikandan S, Vijayakumar V, Swathi Priyadarshini C. Microstructural evidence of reversal of PCOS by steroidal saponins of asparagus racemosus in PCOS induced rats. EJA 2022. [DOI: 10.52083/ucxx3672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The purpose of this study is to investigate the histological and hormonal observations in fructose-fed, letrozole-induced polycysticovarian- syndrome (PCOS) rats treated with various doses of extract of asparagus racemosus (EAR) and Steroidal saponin (SAPO). 48 female Wistar albino rats were divided into 8 groups, including Vehicle Control (VC); PCOS; EAR 400 mg/kg; SAPO 40 mg/kg; PCOS + EAR 200 mg/kg; PCOS + EAR 400 mg/kg; PCOS + SAPO 20 mg/ kg; PCOS + SAPO 40 mg/kg. PCOS group was administered letrozole at a concentration of 1 mg/kg dissolved in 1% CMC per oral(p.o.) once daily for 28 days. Along with these, rats were allowed free access of 10% fructose solution daily. Calculated dosages of EAR and SAPO were given with oral gavage for 30 days. During experimental period, vaginal smears were collected daily for estrus cycle determination. Rats were sacrificed and blood samples were collected for hormonal assay. Ovaries were removed to proceed with histopathological study. Slides were stained using hematoxylin and eosin (H&E) stains. When compared to the vehicle control group, PCOS ovaries had a higher incidence of ovarian cysts, incomplete luteinization, and a lower number of corpus lutea. Although serum estradiol, progesterone, and Follicle-stimulating hormone (FSH) levels were lower in the PCOS group, testosterone and luteinizing hormone (LH) levels were higher. The findings of this study indicated that taking EAR 400 mg/kg and SAPO 40mg/kg orally could alleviate PCOS-related symptoms. It appears that consuming SAPO 40mg/kg reduces LH and testosterone levels while increasing FSH, estrogen, and progesterone hormone levels. Because of the hormonal balancing nature of these drugs, EAR 400mg/kg- and SAPO 40mg/ kg-treated rats had a lower number of cystic follicles and a higher number of corpora lutea. In PCOS rats, this results in a normal process of folliculogenesis and ovulation. In the current study, we observed that SAPO 40mg/kg is better compared to EAR 400mg/kg treatment.
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Shastry KA, Vijayakumar V, V MKM, B A M, B N C. Deep Learning Techniques for the Effective Prediction of Alzheimer’s Disease: A Comprehensive Review. Healthcare (Basel) 2022; 10:healthcare10101842. [PMID: 36292289 PMCID: PMC9601959 DOI: 10.3390/healthcare10101842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/15/2022] [Accepted: 09/15/2022] [Indexed: 11/23/2022] Open
Abstract
“Alzheimer’s disease” (AD) is a neurodegenerative disorder in which the memory shrinks and neurons die. “Dementia” is described as a gradual decline in mental, psychological, and interpersonal qualities that hinders a person’s ability to function autonomously. AD is the most common degenerative brain disease. Among the first signs of AD are missing recent incidents or conversations. “Deep learning” (DL) is a type of “machine learning” (ML) that allows computers to learn by doing, much like people do. DL techniques can attain cutting-edge precision, beating individuals in certain cases. A large quantity of tagged information with multi-layered “neural network” architectures is used to perform analysis. Because significant advancements in computed tomography have resulted in sizable heterogeneous brain signals, the use of DL for the timely identification as well as automatic classification of AD has piqued attention lately. With these considerations in mind, this paper provides an in-depth examination of the various DL approaches and their implementations for the identification and diagnosis of AD. Diverse research challenges are also explored, as well as current methods in the field.
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Affiliation(s)
- K Aditya Shastry
- Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, India
- Correspondence: (K.A.S.); (V.V.)
| | - V Vijayakumar
- School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia
- School of NUOVOS, Ajeenkya D Y Patil University, Pune 412105, India
- Swiss School of Business and Management, 1213 Geneva, Switzerland
- Correspondence: (K.A.S.); (V.V.)
| | - Manoj Kumar M V
- Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, India
| | - Manjunatha B A
- Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, India
| | - Chandrashekhar B N
- Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, India
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Vijayakumar V, Dabbi JM, Walker JL, Mertiri A, Christianson RJ, Fiering J. Rosette-induced separation of T cells by acoustophoresis. Biomicrofluidics 2022; 16:054107. [PMID: 36275916 PMCID: PMC9586706 DOI: 10.1063/5.0109017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/20/2022] [Indexed: 05/23/2023]
Abstract
Breakthrough cell therapies for the treatment of cancers require the separation of specific cells, such as T cells, from the patient's blood. Current cell therapy processes rely on magnetic separation, which adds clinical risk and requires elevated manufacturing controls due to the added foreign material that constitutes the magnetic beads. Acoustophoresis, a method that uses ultrasound for cell separation, has demonstrated label-free enrichment of T cells from blood, but residual other lymphocytes limit the ultimate purity of the output T cell product. Here, to increase the specificity of acoustophoresis, we use affinity reagents to conjugate red blood cells with undesired white blood cells, resulting in a cell-cell complex (rosette) of increased acoustic mobility. We achieve up to 99% purity of T cells from blood products, comparable to current standards of magnetic separation, yet without the addition of separation particles.
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Affiliation(s)
- V. Vijayakumar
- Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, USA
| | - J. M. Dabbi
- Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, USA
| | - J. L. Walker
- Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, USA
| | - A. Mertiri
- Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, USA
| | | | - J. Fiering
- Charles Stark Draper Laboratory, Cambridge, Massachusetts 02139, USA
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Sakthivel N, Pallavi S, Ma YK, Vijayakumar V. Finite-time dissipative synchronization of discrete-time semi-Markovian jump complex dynamical networks with actuator faults. Soft comput 2022. [DOI: 10.1007/s00500-022-07207-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Rajamani P, Vijayakumar V, Nagaraaj P, Sundaraganesan N. Synthesis, Characterization, Spectroscopic, DFT and Molecular Docking Studies of 3-(3,4-Dihydroxyphenyl)-1-Phenyl-3-(Phenylamino)Propan-1-One. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2020.1837190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- P. Rajamani
- Departmentof Physics, Annamalai University, Chidambaram, India
| | - V. Vijayakumar
- Department of Chemistry, Karan Arts and Science College, Tiruvannamalai, India
| | - P. Nagaraaj
- Department of Chemistry, CEG, Anna University, Chennai, India
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Stephens CP, Beam AS, Gray Z, Mansfield J, Reves L, Gray J, Stamey A, Collum M, Vijayakumar V. Imaging Advancements in Nuclear Medicine: Pancreatic Neuroendocrine Tumor Localization and Treatment. Radiol Technol 2022; 93:431-436. [PMID: 35508408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 10/12/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND This case report details a 57-year-old African American man with pancreatic neuroendocrine tumors (NETs). The patient underwent positron emission tomography (PET) imaging using gallium Ga 68 dotatate, which localized the tumors. Selected tumors were treated with 4 doses of 200 mCi of lutetium Lu 177 dotatate during a period of 8 months. At the conclusion of treatment, the patient demonstrated improvement, progressing from bedbound and confused to ambulatory and coherent. In addition, the patient stated he felt no adverse effects. DISCUSSION Pancreatic NETs are rare tumors affecting 0.001% of the population. These tumors are associated with various symptoms and are classified as functional or nonfunctional. Imaging modalities, such as computed tomography (CT), magnetic resonance (MR) imaging, and gallium Ga 68-labeled PET, are essential in detecting and evaluating pancreatic NETs. For patients with localized NETs, the primary treatment is surgery; however, the radiopharmaceuticals yttrium Y 90 microspheres and lutetium Lu 177 dotatate are used as therapy to treat nonresectable tumors. CONCLUSION Lutetium Lu 177 dotatate is used in NET cases that are deemed inoperable and for patients who are not responding to treatment. This case study demonstrates the effectiveness of combining imaging with Ga 68-labeled PET and treatment with lutetium Lu 177 dotatate. This treatment is not a cure but has been shown to improve a patient's quality of life.
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Affiliation(s)
- Chelsea Palmer Stephens
- Chelsea Palmer Stephens, MHS, R.T.(R)(N), CNMT, is director of the Master of Science in Nuclear Medicine Technology program and assistant professor for the Department of Clinical and Diagnostic Sciences at the University of Mississippi Medical Center, School of Health Related Professions in Jackson
| | - Asher Street Beam
- Asher Street Beam, DHA, R.T.(R)(MR), MRSO, is director of the Master of Science in Magnetic Resonance Imaging program and associate professor for the Department of Clinical and Diagnostic Sciences at the University of Mississippi Medical Center, School of Health Related Professions
| | - Zack Gray
- Zack Gray, MS, R.T.(R)(MR)(CT), is assistant professor for the Department of Clinical and Diagnostic Sciences at the University of Mississippi Medical Center, School of Health Related Professions
| | - Julia Mansfield
- Julia Mansfield, MSNMT, R.T.(R)(N); Lexie Reves, MSNMT, R.T.(R)(N); Jennie Gray, MSNMT, R.T.(R) (N); Alexa Stamey, MSNMT, R.T.(R)(N); and Matthew Collum, MSNMT, R.T.(R)(N), are graduates of the Master of Science in Nuclear Medicine Technology program at the University of Mississippi Medical Center, School of Health Related Professions
| | - Lexie Reves
- Julia Mansfield, MSNMT, R.T.(R)(N); Lexie Reves, MSNMT, R.T.(R)(N); Jennie Gray, MSNMT, R.T.(R) (N); Alexa Stamey, MSNMT, R.T.(R)(N); and Matthew Collum, MSNMT, R.T.(R)(N), are graduates of the Master of Science in Nuclear Medicine Technology program at the University of Mississippi Medical Center, School of Health Related Professions
| | - Jennie Gray
- Julia Mansfield, MSNMT, R.T.(R)(N); Lexie Reves, MSNMT, R.T.(R)(N); Jennie Gray, MSNMT, R.T.(R) (N); Alexa Stamey, MSNMT, R.T.(R)(N); and Matthew Collum, MSNMT, R.T.(R)(N), are graduates of the Master of Science in Nuclear Medicine Technology program at the University of Mississippi Medical Center, School of Health Related Professions
| | - Alexa Stamey
- Julia Mansfield, MSNMT, R.T.(R)(N); Lexie Reves, MSNMT, R.T.(R)(N); Jennie Gray, MSNMT, R.T.(R) (N); Alexa Stamey, MSNMT, R.T.(R)(N); and Matthew Collum, MSNMT, R.T.(R)(N), are graduates of the Master of Science in Nuclear Medicine Technology program at the University of Mississippi Medical Center, School of Health Related Professions
| | - Matthew Collum
- Julia Mansfield, MSNMT, R.T.(R)(N); Lexie Reves, MSNMT, R.T.(R)(N); Jennie Gray, MSNMT, R.T.(R) (N); Alexa Stamey, MSNMT, R.T.(R)(N); and Matthew Collum, MSNMT, R.T.(R)(N), are graduates of the Master of Science in Nuclear Medicine Technology program at the University of Mississippi Medical Center, School of Health Related Professions
| | - Vani Vijayakumar
- Vani Vijayakumar, MD, is chief of the division of nuclear medicine and professor in the Department of Radiology at the University of Mississippi Medical Center
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Alla K, Vijayakumar V, Sarveswari S. Synthesis and In Vitro Antimicrobial Evaluation of New Quinolone Based 2-Arylamino Pyrimidines. Polycycl Aromat Compd 2022. [DOI: 10.1080/10406638.2022.2056209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | | | - S. Sarveswari
- Department of Chemistry, VIT, Vellore, Tamilnadu, India
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Veeramuthu A, Meenakshi S, Mathivanan G, Kotecha K, Saini JR, Vijayakumar V, Subramaniyaswamy V. MRI Brain Tumor Image Classification Using a Combined Feature and Image-Based Classifier. Front Psychol 2022; 13:848784. [PMID: 35310201 PMCID: PMC8931531 DOI: 10.3389/fpsyg.2022.848784] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 01/19/2022] [Indexed: 11/17/2022] Open
Abstract
Brain tumor classification plays a niche role in medical prognosis and effective treatment process. We have proposed a combined feature and image-based classifier (CFIC) for brain tumor image classification in this study. Carious deep neural network and deep convolutional neural networks (DCNN)-based architectures are proposed for image classification, namely, actual image feature-based classifier (AIFC), segmented image feature-based classifier (SIFC), actual and segmented image feature-based classifier (ASIFC), actual image-based classifier (AIC), segmented image-based classifier (SIC), actual and segmented image-based classifier (ASIC), and finally, CFIC. The Kaggle Brain Tumor Detection 2020 dataset has been used to train and test the proposed classifiers. Among the various classifiers proposed, the CFIC performs better than all other proposed methods. The proposed CFIC method gives significantly better results in terms of sensitivity, specificity, and accuracy with 98.86, 97.14, and 98.97%, respectively, compared with the existing classification methods.
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Affiliation(s)
- A. Veeramuthu
- Department of Information Technology, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India
| | - S. Meenakshi
- Department of Information Technology, Jeppiaar SRR Engineering College, Chennai, India
| | - G. Mathivanan
- Department of Information Technology, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India
| | - Ketan Kotecha
- Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, India
- *Correspondence: Ketan Kotecha,
| | - Jatinderkumar R. Saini
- Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, India
| | - V. Vijayakumar
- School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia
| | - V. Subramaniyaswamy
- School of Computing, Shanmugha Arts, Science, Technology & Research Academy Deemed University, Thanjavur, India
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Kennedy A, Holland M, Sullivan P, Gebril A, Arora N, Vijayakumar V, Hoole A, Nickel C, Hodcroft C, Harrington L, Wheble M, Soong J, Scriven N, Kellett J, Slinger K, Price V, Alsma J, Astbury S, Varia R, Rigby A, Subbe C. Developing priorities for quality improvement in acute medicine using a modified Delphi method A consensus process hosted by the Society for Acute Medicine Quality Improvement Committee (SAM-QI). Acute Med 2022; 21:74-79. [PMID: 35681180 DOI: 10.52964/amja.0901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
INTRODUCTION The SAM Quality Improvement Committee (SAM-QI), set up in 2016, has worked over the last year to determine the priority Acute Medicine QI topics. They have also discussed and put forward proposals to improve QI training for Acute Medicine professionals. METHODS A modified Delphi process was completed over four rounds to determine priority QI topics. Online meetings were also used to develop proposals for QI training. RESULTS Same Day Emergency Care (SDEC) was chosen as the priority topic for QI work within Acute Medicine. CONCLUSION The SAM-QI group settled on SDEC being the priority topic for Acute Medicine QI development. Throughout the Delphi process SAM-QI has also developed proposals for QI training that will help Acute Medicine professionals deliver coordinated meaningful improvements in care.
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Affiliation(s)
- A Kennedy
- Department of Acute Medicine, Airedale Hospital NHS Foundation Trust, Keighley, West Yorkshire, BD20 6TD
| | - M Holland
- Clinical and Biomedical Sciences, Faculty of Health and Wellbeing, University of Bolton, BL3 5AB, UK. ORCID iD: 0000-0001-8336-5336
| | | | - A Gebril
- Department of Acute Medicine, Salford Royal, Manchester, M6 8HD
| | - N Arora
- Department of Acute Medicine, Watford General Hospital Vicarage Rd, Watford WD18 0HB
| | - V Vijayakumar
- Department of Acute Medicine, Torbay and South Devon Foundation Trust, TQ2 7AA
| | - A Hoole
- Department of Acute Medicine, University Hospital of Wales, Cardiff, CF14 4XW
| | - C Nickel
- Department of Emergency Medicine, University Hospital Basel, Basel, Switzerland
| | - C Hodcroft
- Department of Acute Medicine, Royal Glamorgan Hospital, Ynysmaerdy, Pontyclun CF72 8XR
| | - L Harrington
- Department of Acute Medicine, University College London Hospitals NHS Foundation Trust, London
| | - M Wheble
- Department of Acute Medicine, Royal Bournemouth Hospital, Castle Lane East, Bournemouth, BH7 7DW
| | - J Soong
- Division of Advanced Internal Medicine, Department of Medicine, National University Hospital, Singapore
| | - N Scriven
- Department of Acute Medicine, Calderdale Hospital, Dryclough Ln, Halifax HX3 0NH
| | - J Kellett
- Department of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland
| | - K Slinger
- Department of Acute Medicine, Castle Lane East , Bournemouth, Dorset, BH7 7DW
| | - V Price
- Department of Acute Medicine, Royal Liverpool Hospital, Prescot St, Liverpool L7 8XP
| | - J Alsma
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - S Astbury
- Society for Acute Medicine, 9 Queen Street, Edinburgh, EH2 1JQ
| | - R Varia
- Department of Acute Medicine, St Helens and Knowsley Teaching Hospitals NHS Trust, Prescot, L35 5DR
| | - A Rigby
- Senior Service Improvement Manager, St Helens & Knowsley Teaching Hospitals NHS Trust
| | - C Subbe
- School of Medical Sciences, Bangor University & Consultant Acute, Respiratory & Critical Care Medicine, Ysbyty Gwynedd, Bangor, LL57 2PW, UK. ORCID iD: 0000-0002-3110-8888
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16
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Rambabu G, Kiran YB, Sarveswari S, Vijayakumar V. Synthesis of New 6-Oxo-1,6-Dihydropyrimidin-5-Carboxamides and Evaluation of Their anti-Bacterial and anti-Oxidant Activities. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.2019799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- G. Rambabu
- Department of Chemistry, Sree Vidyanikethan Engineering College, Tirupati, India
- Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
| | - Y. B. Kiran
- Department of Chemistry, Sree Vidyanikethan Engineering College, Tirupati, India
| | - S. Sarveswari
- Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
| | - V. Vijayakumar
- Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
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17
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Jamshed W, Eid MR, Aissa A, Mourad A, Nisar KS, Shahzad F, Saleel CA, Vijayakumar V. Partial velocity slip effect on working magneto non-Newtonian nanofluids flow in solar collectors subject to change viscosity and thermal conductivity with temperature. PLoS One 2021; 16:e0259881. [PMID: 34843499 PMCID: PMC8638899 DOI: 10.1371/journal.pone.0259881] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 10/29/2021] [Indexed: 11/24/2022] Open
Abstract
Solar thermal collectors distribute, capture, and transform the solar energy into a solar thermal concentration device. The present paper provides a mathematical model for analyzing the flow characteristics and transport of heat to solar collectors (SCs) from non-Newtonian nanofluids. The non-Newtonian power-law scheme is considered for the nanofluid through partial slip constraints at the boundary of a porous flat surface. The nanofluid is assumed to differ in viscosity and thermal conductivity linearly with temperature changes and the magnetic field is appliqued to the stream in the transverse direction. The method of similarity conversion is used to convert the governing structure of partial differential formulas into the system of ordinary differential ones. Using the Keller box procedure, the outcoming ordinary differential formulas along with partial slip constraints are numerically resolved. A discussion on the flowing and heat transport characteristics of nanofluid influenced by power law index, Joule heating parameter, MHD parameter and slip parameters are included from a physical point of view. Comparison of temperature profiles showed a marked temperature increase in the boundary layer due to Joule heating. The thickness of the motion boundary-layer is minimized and the transport of heat through boundary-layer is improved with the partial slip velocity and magnetic parameters rising. Finally, With an increase in the Eckert number, the distribution of temperature within boundary layer is increased.
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Affiliation(s)
- Wasim Jamshed
- Department of Mathematics, Capital University of Science and Technology (CUST), Islamabad, Pakistan
- * E-mail:
| | - Mohamed R. Eid
- Department of Mathematics, Faculty of Science, New Valley University, Al-Kharga, Al-Wadi Al-Gadid, Egypt
- Department of Mathematics, Faculty of Science, Northern Border University, Arar, Saudi Arabia
| | - Abederrahmane Aissa
- Laboratoire de Physique Quantique de la Matière et Modélisation Mathématique (LPQ3M), University of Mascara, Mascara, Algeria
| | - Abed Mourad
- Laboratoire de Physique Quantique de la Matière et Modélisation Mathématique (LPQ3M), University of Mascara, Mascara, Algeria
| | - Kottakkaran Sooppy Nisar
- Department of Mathematics, College of Arts and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Faisal Shahzad
- Department of Mathematics, Capital University of Science and Technology (CUST), Islamabad, Pakistan
| | - C. Ahamed Saleel
- Department of Mechanical Engineering, College of Engineering, King Khalid University, Asir-Abha, Saudi Arabia
| | - V. Vijayakumar
- Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India
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18
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Farkas AB, Green ED, Thaggard AL, Vijayakumar V, Henegan JC, Lirette ST, Nittala MR, Vijayakumar S. Initial Institutional Experience with 18F-Fluciclovine PET-CT in Biochemical Recurrence of Prostate Cancer. South Med J 2021; 114:703-707. [PMID: 34729614 PMCID: PMC8560157 DOI: 10.14423/smj.0000000000001314] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The state of Mississippi has a huge burden of cancer, including prostate cancer (PCa). The state ranks at or near the top in mortality from some of the most common cancers, including PCa. To meet this challenge, there is an urgent need to direct clinical research management efforts in the detection of early recurrent disease. This article is an effort in that endeavor. 18F-fluciclovine is an amino acid analog approved by the Food and Drug Administration for use as a radiotracer in positron emission tomography in men with suspected PCa recurrence following prior treatment. The purpose of this study was to investigate the initial institutional experience with 18F-fluciclovine in the evaluation of PCa biochemical recurrence. Objectives 18F-fluciclovine (fluciclovine) is an amino acid analog approved by the Food and Drug Administration for use as a radiotracer in positron emission tomography (PET) in men with biochemical recurrence of suspected prostate cancer. The purpose of this study was to investigate the initial institutional experience with 18F-fluciclovine in the evaluation of prostate cancer with biochemical recurrence. Methods This study was a retrospective review of 135 patients who underwent 18F-fluciclovine PET-computed tomography (PET-CT) at a single institution from August 2018 through January 2020. Prognostic information, including prostate-specific level antigen (PSA) at the time of diagnosis, initial risk, initial Gleason score, and initial stage, was reviewed as well as the PSA level at the time of the scan. The images were reviewed by two radiologists with fellowship training in nuclear medicine and additional training to interpret the fluciclovine studies. A minority of studies were reviewed by a third fellowship-trained radiologist under the guidance of the two nuclear medicine–trained radiologists. In cases with abnormal radiopharmaceutical uptake in lymph nodes, the short-axis dimension of the lymph node or largest lymph node with abnormal uptake was noted. If CT or bone scan was performed within 4 months of the 18F-fluciclovine PET-CT, findings on the alternate imaging were compared with the results of the 18F-fluciclovine PET-CT. Results Our institutional positivity rate was 75.6%, with 64 (67.4%) patients with metastatic disease and 71 (52.6%) patients with local recurrence detected by fluciclovine. As expected, the rate of positive examinations increased with increasing PSA values measured at the time of imaging (P < 0.001). Of the 54 patients with nodal disease, 35 had nonpathologically enlarged lymph nodes measuring <1 cm in maximum short-axis dimension. In more than half of the patients in this study, with conventional imaging, fluciclovine either discovered otherwise undetectable metastatic disease or suggested the presence of local recurrence. Conclusions Our single-institution experience with 18F-fluciclovine PET-CT has the largest number of patients to date in the literature and demonstrates the ability of fluciclovine to help guide clinical management in the detection of early recurrent disease.
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Affiliation(s)
- Amy B Farkas
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Edward D Green
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Anson L Thaggard
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Vani Vijayakumar
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - John C Henegan
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Seth T Lirette
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Mary R Nittala
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Srinivasan Vijayakumar
- From the Departments of Radiology, Hematology/Oncology, Data Science, and Radiation Oncology, University of Mississippi Medical Center, Jackson
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19
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Ravi Shankar B, Vijayakumar V, Sivaramakrishnan H, Suneel Manohar C. Synthesis of Novel N-(6-(Trifluoromethyl)Pyridin-2-yl)Pyrimidin-4-Amine Analogues. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.1980062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- B. Ravi Shankar
- Department of Chemistry, VIT University, Vellore, Tamil Nadu, India
- Sri Rugved Research Labs, Pawane, Navi Mumbai, Maharashtra, India
| | - V. Vijayakumar
- Department of Chemistry, VIT University, Vellore, Tamil Nadu, India
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20
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Supraja P, Tom RJ, Tiwari RS, Vijayakumar V, Liu Y. 3D convolution neural network-based person identification using gait cycles. Evolving Systems 2021. [DOI: 10.1007/s12530-021-09397-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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21
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Bhatt C, Kumar I, Vijayakumar V, Singh KU, Kumar A. The state of the art of deep learning models in medical science and their challenges. Multimedia Systems 2021; 27:599-613. [DOI: 10.1007/s00530-020-00694-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
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22
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Elakkiya R, Subramaniyaswamy V, Vijayakumar V, Mahanti A. Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks. IEEE J Biomed Health Inform 2021; 26:1464-1471. [PMID: 34214045 DOI: 10.1109/jbhi.2021.3094311] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cervical cancer is one of the common cancers among women and it causes significant mortality in many developing countries. Diagnosis of cervical lesions is done using pap smear test or visual inspection using acetic acid (staining). Digital colposcopy, an inexpensive methodology, provides painless and efficient screening results. Therefore, automating cervical cancer screening using colposcopy images will be highly useful in saving many lives. Nowadays, many automation techniques using computer vision and machine learning in cervical screening gained attention, paving the way for diagnosing cervical cancer. However, most of the methods rely entirely on the annotation of cervical spotting and segmentation. This paper aims to introduce the Faster Small-Object Detection Neural Networks (FSOD-GAN) to address the cervical screening and diagnosis of cervical cancer and the type of cancer using digital colposcopy images. The proposed approach automatically detects the cervical spot using Faster Region-Based Convolutional Neural Network (FR-CNN) and performs the hierarchical multiclass classification of three types of cervical cancer lesions. Experimentation was done with colposcopy data collected from available open sources consisting of 1,993 patients with three cervical categories, and the proposed approach shows 99% accuracy in diagnosing the stages of cervical cancer.
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23
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Kiran YB, Rambabu G, Vijayakumar V, Barbosa LCA. Acetic Acid-Mediated Synthesis of Kojic Acid Derivatives. Russ J Org Chem 2021. [DOI: 10.1134/s1070428021070162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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24
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Lohitha N, Vijayakumar V. Imidazole Appended Novel Phenoxyquinolines as New Inhibitors of α-Amylase and α-Glucosidase Evidenced with Molecular Docking Studies. Polycycl Aromat Compd 2021. [DOI: 10.1080/10406638.2021.1939069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- N. Lohitha
- Centre for Organic and Medicinal Chemistry, VIT University, Vellore, India
| | - V. Vijayakumar
- Centre for Organic and Medicinal Chemistry, VIT University, Vellore, India
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25
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Rajamani P, Vijayakumar V, Sundaraganesan N, Jeeva M, Susai Boobalan M. FT-IR, FT-Raman, UV–Visible, NMR, DFT and molecular docking investigation of 1-(phenyl (piperidin-1-yl) methyl) naphthalene-2-ol. Results in Chemistry 2021. [DOI: 10.1016/j.rechem.2021.100096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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26
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Subramaniyaswamy V, Ravi L, Puvitha H, Palani S, Vijayakumar V. Investigation of multi-objective optimisation techniques to minimise the localisation error in wireless sensor networks. IJGUC 2021. [DOI: 10.1504/ijguc.2021.10034607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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27
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Puvitha H, Palani S, Vijayakumar V, Ravi L, Subramaniyaswamy V. Investigation of multi-objective optimisation techniques to minimise the localisation error in wireless sensor networks. IJGUC 2021. [DOI: 10.1504/ijguc.2021.112459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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28
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Tuma Santos CA, Wallace WD, Kim S, Vijayakumar V. Pitfalls and Artifacts of 123I-Ioflupane SPECT in Parkinsonian Syndromes: A Quality Improvement Teaching Tool. J Nucl Med Technol 2020; 49:114-119. [PMID: 33361183 DOI: 10.2967/jnmt.120.258491] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 12/17/2020] [Indexed: 11/16/2022] Open
Abstract
The aim of the current article is to describe how to improve the quality of imaging with 123I-ioflupane SPECT and to serve as a teaching tool on this topic. The radiopharmaceutical 123I-ioflupane is used to visualize the nigrostriatal pathway. Parkinson disease and parkinsonian syndromes are movement disorders that exhibit nigrostriatal degeneration, with a decreased dopamine transporter level in the pathway and thus a decreased 123I-ioflupane distribution. Other nonparkinsonian movement disorders, such as essential tremor, will have intact dopaminergic neurons and exhibit a normal distribution of the radiopharmaceutical throughout the striata. Parkinsonian disorders are usually diagnosed clinically. However, 123I-ioflupane SPECT can be a valuable tool when the clinical features are not sufficiently clear. 123I-ioflupane SPECT image interpretation is not always straightforward. Many pitfalls, including biologic factors, technical factors, medications, and factors such as age, race, ethnicity, and body habitus, can make the interpretation challenging. The technologist and nuclear radiologist must identify the expected imaging findings to avoid the most common mistakes related to artifacts. This article reviews the usual pitfalls and artifacts of 123I-ioflupane SPECT that can compromise an accurate diagnosis and lead to misinterpretation of image findings.
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Affiliation(s)
- Cristiane A Tuma Santos
- Nuclear Medicine Division, Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi
| | - William David Wallace
- Nuclear Medicine Division, Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Sanghun Kim
- Nuclear Medicine Division, Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Vani Vijayakumar
- Nuclear Medicine Division, Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi
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29
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Stephan T, Rajappa A, Sendhil Kumar K, Gupta S, Shankar A, Vijayakumar V. Modified fuzzy-based greedy routing protocol for VANETs. IFS 2020. [DOI: 10.3233/jifs-189154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.
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Affiliation(s)
- Thompson Stephan
- Department of Computer Science and Engineering, Amity University Uttar Pradesh, Noida, India
| | - Ananthnarayan Rajappa
- Department of Computer Science and Engineering, Amity University Uttar Pradesh, Noida, India
| | - K.S. Sendhil Kumar
- School of Computer Science and Engineering Vellore Institute of Technology, Vellore
| | - Shivang Gupta
- Department of Computer Science and Engineering, Amity University Uttar Pradesh, Noida, India
| | - Achyut Shankar
- Department of Computer Science and Engineering, Amity University Uttar Pradesh, Noida, India
| | - V. Vijayakumar
- Visiting Professor, Kyungpook National University, Korea
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30
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Dayal R, Vijayakumar V, Kushwaha RC, Kumar A, Ambeth Kumar VD, Kumar A. A cognitive model for adopting ITIL framework to improve IT services in Indian IT industries. IFS 2020. [DOI: 10.3233/jifs-189131] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This research paper presents a cognitive model which manages to minimize the issues of the Information Technology Infrastructure by incorporation of service management practices. The importance of this research is that this model can be replicated in other companies for the distribution of products that wish to implement improvements in their management process technological services. This work introduces the use of Information Technology Infrastructure Library or ITIL as best practice, essential methodologies for IT Management, historical evolution, methodology, service life cycle, and ITIL certifications. Service automation is widely regarded as the usefulness and improves service guarantee. One of the most useful features of automation services is that the process will run the same way every time. Such precision in the execution of repetitive executions is virtually impossible when it comes to human labor. Therefore, the automation is the best way to improve the efficiency of the service provider and the next steps of the process.
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Affiliation(s)
- Rasbihari Dayal
- School of Computer Science & Engineering, Poornima University, Jaipur
| | - V. Vijayakumar
- School of Computer Science and Engineering, The University of New South Wales, Australia
| | - Rahul Chandra Kushwaha
- School of Computer Science & Engineering, Poornima University, Jaipur & i-nurture, Bangalore, India
| | - Abhishek Kumar
- Department of Computer Science, Banaras Hindu University, India
| | | | - Ankit Kumar
- Department of Computer Science, Swami Keshvanand Institute of Technology, Jaipur
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31
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Latif G, Alghazo J, Maheswar R, Vijayakumar V, Butt M. Deep learning based intelligence cognitive vision drone for automatic plant diseases identification and spraying. IFS 2020. [DOI: 10.3233/jifs-189132] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The agriculture industry is of great importance in many countries and plays a considerable role in the national budget. Also, there is an increased interest in plantation and its effect on the environment. With vast areas suitable for farming, countries are always encouraging farmers through various programs to increase national farming production. However, the vast areas and large farms make it difficult for farmers and workers to continually monitor these broad areas to protect the plants from diseases and various weather conditions. A new concept dubbed Precision Farming has recently surfaced in which the latest technologies play an integral role in the farming process. In this paper, we propose a SMART Drone system equipped with high precision cameras, high computing power with proposed image processing methodologies, and connectivity for precision farming. The SMART system will automatically monitor vast farming areas with precision, identify infected plants, decide on the chemical and exact amount to spray. Besides, the system is connected to the cloud server for sending the images so that the cloud system can generate reports, including prediction on crop yield. The system is equipped with a user-friendly Human Computer Interface (HCI) for communication with the farm base. This multidrone system can process vast areas of farmland daily. The Image processing technique proposed in this paper is a modified ResNet architecture. The system is compared with deep CNN architecture and other machine learning based systems. The ResNet architecture achieves the highest average accuracy of 99.78% on a dataset consisting of 70,295 leaf images for 26 different diseases of 14 plants. The results obtained were compared with the CNN results applied in this paper and other similar techniques in previous literature. The comparisons indicate that the proposed ResNet architecture performs better compared to other similar techniques.
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Affiliation(s)
- Ghazanfar Latif
- College of Computer Engineering and Sciences, Prince Mohammad bin Fahd University, Saudi Arabia
| | - Jaafar Alghazo
- College of Computer Engineering and Sciences, Prince Mohammad bin Fahd University, Saudi Arabia
| | - R. Maheswar
- Dean – Research (Assistant) & School of EEE, VIT Bhopal University, India
| | | | - Mohsin Butt
- College of Applied and Supporting Studies, King Fahd University of Petroleum and Minerals, Saudi Arabia
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32
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Nath K, Dhanalakshmi R, Vijayakumar V, Aremu B, Hemant Kumar Reddy K, Xiao-Zhi G. Uncovering hidden community structures in evolving networks based on neighborhood similarity. IFS 2020. [DOI: 10.3233/jifs-189150] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Detection of densely interconnected nodes also called modules or communities in static or dynamic networks has become a key approach to comprehend the topology, functions and organizations of the networks. Over the years, numerous methods have been proposed to detect the accurate community structure in the networks. State-of-the-art approaches only focus on finding non-overlapping and overlapping communities in a network. However, many networks are known to possess a hidden or embedded structure, where communities are recursively grouped into a hierarchical structure. Here, we reinvent such sub-communities within a community, which can be redefined based on nodes similarity. We term those derived communities as hidden or hierarchical communities. In this work, we present a method called Hidden Community based on Neighborhood Similarity Computation (HCNC) to uncover undetected groups of communities that embedded within a community. HCNC can detect hidden communities irrespective of density variation within the community. We define a new similarity measure based on the degree of a node and it’s adjacent nodes degree. We evaluate the efficiency of HCNC by comparing it with several well-known community detectors through various real-world and synthetic networks. Results show that HCNC has better performance in comparison to the candidate community detectors concerning various statistical measures. The most intriguing findings of HCNC is that it became the first research work to report the presence of hidden communities in Les Miserables, Karate and Polbooks networks.
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Affiliation(s)
- Keshab Nath
- Department of Computer Science and Engineering, National Institute of Technology, Meghalaya, India
| | | | | | | | - K. Hemant Kumar Reddy
- Department of Computer Science and Engineering, National Institute of Science & Technology, Berhampur, India
| | - Gao Xiao-Zhi
- School of Computing, University of Eastern Finland, Kuopio, Finland
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33
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Palanisamy R, Mohana Sundram K, Selvakumar K, Boopathi C, Selvabharathi D, Vijayakumar V. Artificial Neural Network based SVPWM for Five Level Cascaded H-bridge Inverter fed Grid connected PV System. IFS 2020. [DOI: 10.3233/jifs-189163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
An Artificial Neural Network (ANN) based Space Vector Pulse Width Modulation (SVPWM) for five level cascaded H-bridge inverter (CHBI) fed grid connected photovoltaic (PV) system. The multilevel inverter topologies are offers better performance compare conventional two level inverter like reduced total harmonic distortion, less electromagnetic interferences and voltage stresses across switches are low. The ANN based SVPWM generates the switching pulses for cascaded H-bridge inverter; it improves the accuracy in reference vectors tuning and identification, which leads to improve the inverter output voltage, better utilization of dc-link voltage and controlled output current. The ANN control makes the implementation of SVPWM becomes simple and minimizes the intricacy in tracking reference vector and calculation of switching time; it is suitable for any type of non-linear systems. This proposed system is energized using PV system and it is boosted using dc-dc boost converter, and the output of CHBI is synchronized with grid connected system using coupled inductor. The simulation and experimental results of ANN based SVPWM for CHBI is verified using simulink-matlab and DSP processor.
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Affiliation(s)
- R. Palanisamy
- Department of EEE, SRM Institute of Science and Technology, Chennai, India
| | - K. Mohana Sundram
- Department of EEE, Vel tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, India
- EEE KPR Institute of Engineering and Technology, Coimbatore
| | - K. Selvakumar
- Department of EEE, SRM Institute of Science and Technology, Chennai, India
| | - C.S. Boopathi
- Department of EEE, SRM Institute of Science and Technology, Chennai, India
| | - D. Selvabharathi
- Department of EEE, SRM Institute of Science and Technology, Chennai, India
| | - V. Vijayakumar
- Lead Data Scientist, Briteyellow pvt. Ltd, Cranefield Research Center, UK
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Abstract
Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.
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Affiliation(s)
- Jackson J Christy
- School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, Chennai, Tamilnadu, India
| | - D Rekha
- School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Campus, Chennai, Tamilnadu, India
| | - V Vijayakumar
- School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
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Alamelu M, Pradeep Kumar T, Vijayakumar V. Fuzzy rule based SLA generation algorithms for web based multi party negotiation systems. IFS 2020. [DOI: 10.3233/jifs-189153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Service Level Agreement (SLA) is an agreement between the service provider and consumer to provide the verifiable quality of services. Using the valuable metrics in SLA, a service consumer could easily evaluate the service provider. Though there are different types of SLA models are available between the consumer and provider, the proposed approach describes the Fuzzy rule base SLA agreement generation among multiple service providers. A negotiation system is designed in this work to collect the different sets of provider services. With their desired quality metrics, a common Fuzzy based SLA report is generated and compared against the existing consumer requirements. From the analysis of the common agreement report, consumers can easily evaluate the best service with the desired Impact service, cost and Quality. The main advantage of this approach is that it reduces the time consumption of a consumer. Moreover, the best service provider can be selected among multiple providers with the desired QoS parameters. At the same time, the bilateral negotiation is enhanced with the approach of multilateral negotiation to improve the searching time of consumers.
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Affiliation(s)
- M. Alamelu
- Department of Information Technology, Kumaraguru College of Technology, Coimbatore, India
| | - T.S. Pradeep Kumar
- School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India
| | - V. Vijayakumar
- Visiting Postdoc Scientist, Federal University of Piaui‘, Brazil
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36
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Karthikeyan M, Venkatesan R, Vijayakumar V, Ravi L, Subramaniyaswamy V. White blood cell detection and classification using Euler’s Jenks optimized multinomial logistic neural networks. IFS 2020. [DOI: 10.3233/jifs-189152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Due to the wide acceptance of White Blood Cells (WBCs) in disease diagnosis, detection and classification of WBC are hot topic. Existing methodologies have some drawbacks such as significant degree of error, higher accuracy, time bound and higher misclassification rate. A WBCs detection and classification called, Jenks Optimized Logistic Convolutional Neural Network (JO-LCNN) method has proposed. Initally, Eulers Principal Axis is used as a convolution model to obtain a rotation invariant form of image by differentiating the background and RBCs, then eliminating them which leaves only the WBCs. By eliminating the wanton features, inherent features are detected contributing to minimum misclassification rate. According to above, Jenks Optimization function is used as a pooling model to obtain feature map for lower resolution. Therefore JO-LCNN is used for removing tiny objects in image and complete nuclei. Finally, Multinomial Logistic classifier is used to classify five types of classes by means of loss function and updating weight according to the loss function, therefore classifying with higher accuracy rate. Using LISC database for WBCs with different parameters as classification accuracy, false positive rate and time complexity are performed. Result shows that JO-LCNN, efficiently improves accuracy with less time, misclassification rate than the state-of-art methods.
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Affiliation(s)
| | - R. Venkatesan
- School of Computing, SASTRA Deemed University, Thanjavur, India
| | | | - Logesh Ravi
- Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
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37
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King ML, Nittala MR, Gordy XZ, Roberts P, Lirette ST, Thomas TV, Gordy DP, Albert AA, Vijayakumar V, Vijayakumar S. Prostate Cancer Screening Recommendations for General and Specific Populations in the
Western Nations. EMJ 2020. [DOI: 10.33590/emj/20-00042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
There is a chaotic scenario that exists in the field of prostate cancer (PCa) screening. To balance goals, such as decreasing mortality, avoiding unnecessary procedures, and decreasing the cost of medical care, the pendulum seems to have swung to the side of more restricted screening. The decrease in PCa screening has led to a slowly creeping decline in the favourable outcomes that existed among patients with PCa. If a potential patient or a family member is trying to get clear guidance about PCa screening by searching the internet, they will end up confused by several recommendations from many organisations. It is even more challenging to obtain any clarity about PCa screening for special populations, such as those with a family history of PCa, those of African descent/African Americans, and the elderly. The advent of genomic medicine and precision medicine is an opportunity to identify those at a very high risk of developing aggressive PCa, so that PCa screening can be more actively undertaken among them. In this paper, the authors review the current recommendations by different entities and summarise emerging molecular markers that may help bring clarity to PCa screening. The authors predict that concrete, consensual guidelines will emerge in less than one decade. Meanwhile, this article suggests intermediary steps that will help save lives from PCa mortality, especially for under-represented populations. This paper is a catalyst to stimulate further discussion and serves as a guide to noncancer-specialists for the near future as precision medicine progresses to better understand risk–benefit and cost–benefit ratios in PCa screening.
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Affiliation(s)
- Maurice L. King
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Mary R. Nittala
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Xiaoshan Z. Gordy
- Department of Health Science, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Paul Roberts
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Seth T. Lirette
- Department of Data Science, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Toms V. Thomas
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - David P. Gordy
- Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Ashley A. Albert
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Vani Vijayakumar
- Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Srinivasan Vijayakumar
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi, USA
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38
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Vengaloor Thomas T, Gordy X, Lirette S, Albert A, Gordy D, Vijayakumar S, Vijayakumar V. The Lack of Racial Survival Differences in Metastatic Prostate Cancer in National Cancer Data Base (NCDB): A Paradox Compared to Non-metastatic Disease. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Vengaloor Thomas T, Gordy XZ, Lirette ST, Albert AA, Gordy DP, Vijayakumar S, Vijayakumar V. Lack of Racial Survival Differences in Metastatic Prostate Cancer in National Cancer Data Base (NCDB): A Different Finding Compared to Non-metastatic Disease. Front Oncol 2020; 10:533070. [PMID: 33072567 PMCID: PMC7531281 DOI: 10.3389/fonc.2020.533070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 08/17/2020] [Indexed: 12/24/2022] Open
Abstract
Background: Inconsistent findings have been reported in the literature regarding racial differences in survival outcomes between African American and white patients with metastatic prostate cancer (mPCa). The current study utilized a national database to determine whether racial differences exist among the target population to address this inconsistency. Methods: This study retrospectively reviewed prostate cancer (PCa) patient data (N = 1,319,225) from the National Cancer Database (NCDB). The data were divided into three groupings based on the metastatic status: (1) no metastasis (N = 318,291), (2) bone metastasis (N = 29,639), and (3) metastases to locations other than bone, such as brain, liver, or lung (N = 952). Survival probabilities of African American and white PCa patients with bone metastasis were examined through parametric proportional hazards Weibull models and Bayesian survival analysis. These results were compared to patients with no metastasis or other types of metastases. Results: No statistically supported racial disparities were observed for African American and white men with bone metastasis (p = 0.885). Similarly, there were no racial disparities in survival for those men suffering from other metastases (liver, lung, or brain). However, racial disparities in survival were observed among the two racial groups with non-metastatic PCa (p < 0.001) or when metastasis status was not taken into account (p < 0.001). The Bayesian analysis corroborates the finding. Conclusion: This research supports our previous findings and shows that there are no racial differences in survival outcomes between African American and white patients with mPCa. In contrast, racial disparities in the survival outcome continue to exist among non-metastatic PCa patients. Further research is warranted to explain this difference.
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Affiliation(s)
- Toms Vengaloor Thomas
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, United States
| | - Xiaoshan Z Gordy
- Department of Health Sciences, University of Mississippi Medical Center, Jackson, MS, United States
| | - Seth T Lirette
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, United States
| | - Ashley A Albert
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, United States
| | - David P Gordy
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS, United States
| | - Srinivasan Vijayakumar
- Department of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, United States
| | - Vani Vijayakumar
- Department of Radiology, University of Mississippi Medical Center, Jackson, MS, United States
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40
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Yarrappagaari S, Gutha R, Narayanaswamy L, Thopireddy L, Benne L, Mohiyuddin SS, Vijayakumar V, Saddala RR. Eco-friendly synthesis of silver nanoparticles from the whole plant of Cleome viscosa and evaluation of their characterization, antibacterial, antioxidant and antidiabetic properties. Saudi J Biol Sci 2020; 27:3601-3614. [PMID: 33304171 PMCID: PMC7715480 DOI: 10.1016/j.sjbs.2020.07.034] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 07/28/2020] [Accepted: 07/30/2020] [Indexed: 11/05/2022] Open
Abstract
The current research is to develop an easy and eco-friendly method for the synthesis of three different concentrations of silver nanoparticles (1mMCvAgNPs, 2mMCvAgNPs and 3mMCvAgNPs) using aqueous whole plant extract of Cleome viscosa and to evaluate their antibacterial, antioxidant and antidiabetic properties. CvAgNPs were characterized by Using UV–vis spectrophotometer, X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscope (SEM) and transmission electron microscope (TEM). The formation of CvAgNPs was confirmed by the observation of band between 250 nm to 600 nm UV–vis spectrum. The crystalline structure of CvAgNPs with a face-centered cubic (FCC) was confirmed by XRD. The responsible phytochemicals for the reduction and capping material of CvAgNPs were observed with FT-IR. The SEM analysis confirmed the size and shapes of CvAgNPs. The CvAgNPs have shown the rich content of total phenolic and total flavonoid components. The CvAgNPs have shown significant antibacterial activity on multi drug resistance Gram-negative and Gram-positive bacteria and also have shown significant strong antioxidant activities (DPPH, ABTS, H2O2 scavenging, Phosphomolybdenum assay and reducing power). The inhibitory action of CvAgNPs on α-glucosidase and α-amylase was stronger than the inhibitory action of acarbose. To best of our knowledge, this is the first attempt on the synthesis of AgNPs using C. viscosa whole plant aqueous extract. The synthesized CvAgNPs exhibited good antimicrobial, antioxidant and antidiabetic properties. Hence, to validate our results, the in vivo studies at the molecular level are needed to develop Cleome viscosa as an antibacterial, antioxidant and anti-diabetic agent.
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Affiliation(s)
- Suresh Yarrappagaari
- Division of Ethnopharmacology, Department of Biotechnology, School of Herbal Studies and Naturo Sciences, Dravidian University, Kuppam 517 426, Andhra Pradesh, India
| | - Rajasekar Gutha
- Division of Ethnopharmacology, Department of Biotechnology, School of Herbal Studies and Naturo Sciences, Dravidian University, Kuppam 517 426, Andhra Pradesh, India
| | - Lohitha Narayanaswamy
- Centre for Organic and Medicinal Chemistry, VIT University, Vellore 632 014, Tamil Nadu, India
| | - Lavanya Thopireddy
- Department of Zoology, Sri Venkateswara University, Tirupati 517 502, Andhra Pradesh, India
| | - Lakshminarsimhulu Benne
- Division of Ethnopharmacology, Department of Biotechnology, School of Herbal Studies and Naturo Sciences, Dravidian University, Kuppam 517 426, Andhra Pradesh, India
| | - Syed Siraj Mohiyuddin
- Department of Zoology, Sri Venkateswara University, Tirupati 517 502, Andhra Pradesh, India
| | - V Vijayakumar
- Centre for Organic and Medicinal Chemistry, VIT University, Vellore 632 014, Tamil Nadu, India
| | - Rajeswara Reddy Saddala
- Division of Ethnopharmacology, Department of Biotechnology, School of Herbal Studies and Naturo Sciences, Dravidian University, Kuppam 517 426, Andhra Pradesh, India
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41
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Krishna A, Vijayakumar V, Sarveswari S. Synthesis of New 3‐(2‐Amino‐6‐arylpyrimidin‐4‐yl)‐4‐hydroxyquinolin‐2(1
H
)‐ones and Their In Vitro Antimicrobial and “DPPH” Scavenging Activity Evaluation. ChemistrySelect 2020. [DOI: 10.1002/slct.202002082] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Alla. Krishna
- Department of ChemistryVellore Institute of Technology Vellore 632014 Tamilnadu India
- LGC Promochem private limited Bangalore India
| | - V. Vijayakumar
- Department of ChemistryVellore Institute of Technology Vellore 632014 Tamilnadu India
| | - S. Sarveswari
- Department of ChemistryVellore Institute of Technology Vellore 632014 Tamilnadu India
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42
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Bhaskar R, Vijayakumar V, Srinivasadesikan V, Lee SL, Sarveswari S. Rationally designed imidazole derivative as colorimetric and fluorometric sensor for selective, qualitative and quantitative cyanide ion detection in real time samples. Spectrochim Acta A Mol Biomol Spectrosc 2020; 234:118212. [PMID: 32224435 DOI: 10.1016/j.saa.2020.118212] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 01/17/2020] [Accepted: 02/29/2020] [Indexed: 06/10/2023]
Abstract
A new imidazole derivative of 1,2-diaminoanthraquinone and fluorene-2-carboxaldehyde was designed as a sensor B2 to selectively detect the cyanide (CN-) ion through colorimetric and/or fluorometric methods. The photochemical characterizations of sensor B2 were tested using absorption and emission spectral studies in CH3CN-H2O (8:2) semi-aqueous medium. An excited state proton transfer process (ESIPT) was proved by theoretical and spectral studies. The colorimetric and fluorescence detection limit of CN- ion was found to be 5.3 × 10-6 M and 4.11 × 10-8 M, respectively. 1H NMR titration, electrochemical and DFT studies were supported the removal of -NH proton from B2. In order to utilize this sensor in real-time applications, we developed a test cassette which is coated with sensor B2 detected the presence of CN- ion in the food sample with endogenous cyanide ion.
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Affiliation(s)
- R Bhaskar
- Centre for Organic and Medicinal Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - V Vijayakumar
- Centre for Organic and Medicinal Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Venkatesan Srinivasadesikan
- Division of Chemistry, Department of Sciences and Humanities, Vignan's Foundation for Science, Technology and Research University, Vadlamudi, 522 213 Guntur, Andhra Pradesh, India
| | - Shyi-Long Lee
- Department of Chemistry and Biochemistry, National Chung-Cheng University, Chia-Yi 621, Taiwan
| | - S Sarveswari
- Centre for Organic and Medicinal Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
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43
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Senthilselvan N, Subramaniyaswamy V, Vijayakumar V, Karimi HR, Aswin N, Ravi L. Distributed frequent subgraph mining on evolving graph using SPARK. INTELL DATA ANAL 2020. [DOI: 10.3233/ida-194601] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | | | - V. Vijayakumar
- School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
| | - Hamid Reza Karimi
- Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
| | - N. Aswin
- School of Computing, SASTRA Deemed University, Thanjavur, India
| | - Logesh Ravi
- Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
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44
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Farkas A, Lirette ST, Al Hmada Y, Collier AB, Barr J, Vijayakumar S, Vijayakumar V. Single-Institution Experience of Synovial Sarcoma. South Med J 2020; 113:16-19. [PMID: 31897493 DOI: 10.14423/smj.0000000000001054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate the patient population and outcomes of synovial sarcoma at a single institution. METHODS A retrospective review of the medical records of 28 patients with synovial sarcoma diagnosed from 1992 to 2017 was performed. Demographics, staging, disease location, treatment, and response to treatment were reviewed. RESULTS Individuals with larger tumors at the time of presentation had an increased risk of death. An additional factor associated with poor prognosis in synovial sarcoma was increasing patient age. The patient population had a higher rate of nonextremity disease and lower overall survival when compared with national averages. CONCLUSIONS Nonextremity disease and large size of tumor at presentation may have contributed to the disparity in institutional outcomes from the national averages. The advanced presentation of synovial sarcoma remains a significant challenge in improving patient survival.
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Affiliation(s)
- Amy Farkas
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Seth T Lirette
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Youssef Al Hmada
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Anderson B Collier
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Jennifer Barr
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Srinivasan Vijayakumar
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
| | - Vani Vijayakumar
- From the Departments of Radiology, Data Science, Pathology, Pediatric Oncology, Orthopedic Surgery, and Radiation Oncology, University of Mississippi Medical Center, Jackson
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45
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Sivaramakrishnan N, Subramaniyaswamy V, Viloria A, Vijayakumar V, Senthilselvan N. A deep learning-based hybrid model for recommendation generation and ranking. Neural Comput Appl 2020. [DOI: 10.1007/s00521-020-04844-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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46
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Hemanth Kumar P, Jyothish Kumar L, Pavithrra G, Rajasekaran R, Vijayakumar V, Karan R, Sarveswari S. Design, synthesis and exploration of in silico α-amylase and α-glucosidase binding studies of pyrrolidine-appended quinoline-constrained compounds. Res Chem Intermed 2020. [DOI: 10.1007/s11164-019-04068-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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47
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Durgalakshmi B, Vijayakumar V. Feature selection and classification using support vector machine and decision tree. Comput Intell 2020. [DOI: 10.1111/coin.12280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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48
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Karuppusamy P, Senthilvelan J, Vijayakumar V, Sarveswari S. A Pyrazole‐Based Highly Selective Colorimetric Chemosensor for Hg
2+
Ion in Semi‐Aqueous Medium. ChemistrySelect 2020. [DOI: 10.1002/slct.201903109] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- P. Karuppusamy
- Department of ChemistryVIT University Vellore - 632014 India
| | - J. Senthilvelan
- Department of ChemistryVIT University Vellore - 632014 India
| | - V. Vijayakumar
- Department of ChemistryVIT University Vellore - 632014 India
| | - S. Sarveswari
- Department of ChemistryVIT University Vellore - 632014 India
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Vijayakumar V, Karuppusamy A, Kannan P, Nagaraaj P. Synthesis of novel 2-((2-(benzothiazol-2-yl)hydrazono)methyl)naphthalen-1-ol (NBS) and its selective sensing of fluoride ions. Chem Phys Lett 2020. [DOI: 10.1016/j.cplett.2019.136891] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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50
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Rajamani P, Sundaraganesan N, Vijayakumar V, Boobalan MS, Jeeva M. Synthesis, spectroscopic, computational and molecular docking studies of 1-(pyridin-2-yl amino)methyl napthalene-2-ol. J Mol Struct 2019. [DOI: 10.1016/j.molstruc.2019.07.040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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