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785 results on '"A. Suvitha"'

1. Enhancing the corrosion resistance of mild steel coated zinc studies

Author

Jyoti S. Kavirajwar, A. Suvitha, Herri Trilaksana, Hanan Alzahrani, Nouf Alharbi, Hala Siddiq, and S. Sasi Florence

Subjects
Tafel plot, Preferred orientation, Deposition potential, Nyquist plot, Industry innovation, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
Abstract

In the presence of a newly created brightener, the zinc metal is coated on steel using the electro deposition process. Experiments using hull cells are used to optimize the settings and components of plating baths. Tafel Polarization and EIS techniques were used to conduct corrosion experiments, which made it possible to investigate the brilliant zinc coating's effective corrosion resistance. SEM and Reflectance spectroscopy both confirm that the bright zinc coating has modified surface morphology. XRD analysis is used to study and validate changes in crystallite orientation and phase structure. Electrochemical methods and theoretical molecular dynamic (MD) simulations were used to examine the interaction between Zn and the metal surface. FTIR spectroscopy has been used in blend investigations which impacts on the physical characteristics of polymer blends. The results of these research showed how novel brighteners can improve zinc deposits' brightness and corrosion resistance when applied to mild steel substrates.

Published
2024
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2. Novel ibuprofen prodrug: A possible promising agent for the management of complications of Alzheimer’s disease

Author

Anjali Nayak, Rashu Raju, Paramita Das, Kuntal Das, A. Suvitha, Biswa Ranjan Meher, Saad Alobid, Ali Ibrahim Almoteer, Moneer E. Almadani, Ahmed Alshehri, Adel Alghamdi, Fuzail Ahmad, Syed Imam Rabbani, Syed Mohammed Basheeruddin Asdaq, and Naira Nayeem

Subjects
Alzheimer's disease, Ibuprofen, Prodrug, Novel conjugate, Drug effect, Animals, Therapeutics. Pharmacology, RM1-950
Abstract

Background: Alzheimer’s disease (AD) is a severe, varied, and complex brain condition that gradually impairs memory and cognitive function. Epidemiological studies have shown that patients who have a history of long-term NSAID use have a decreased risk of developing AD. The objective of this study is to conduct the structural analysis of a novel ibuprofen prodrug and test its anti-Alzheimer’s properties. Methods: Computational and docking studies were conducted using AMBER 18 package. The in-vivo studies were performed using aluminum chloride-induced experimental AD in rats. Adult Wistar rats of either sex were used and treated with aluminum chloride (32.5 mg/kg, p.o) and ibuprofen prodrug (50 mg/kg, p.o) daily for 30 days. The hole-board test and elevated plus maze were conducted on 10th, 20th and 30th day. Further, on 31st day, animals were euthanized and the brain tissue was used for histopathology. The results obtained were subjected to statistical analysis by one-way ANOVA and Dunnet’s test, p

Published
2024
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3. Exploring linear and nonlinear optical behaviour of morpholine p-nitrophenol crystal: Computational and experimental analysis

Author

R. Sivaranjani, A. Suvitha, Medhansh Garg, and T. Arumanayagam

Subjects
Solution growth, DFT calculations, NLO materials, LDT, Physics, QC1-999, Chemistry, QD1-999
Abstract

Optically good quality morpholine p-nitrophenol (MPN) crystal was effectively grown from a slow evaporation technique. Unit cell parameters of MPN were estimated by single crystal X-ray diffraction and it crystallizes in the P21/c space group. The existence of several functional groups in MPN is established by FTIR analysis. UV–vis-NIR spectroscopy inspected the lower cut-off wavelength and band gap energy of MPN. A fluorescence spectral analysis of MPN was carried out. Experimental and computational calculations of nonlinear optical activity have been studied. The second harmonic generation of MPN is 1.9 times greater than the reference KDP material. Using the Z-scan approach, the grown crystal's third-order NLO susceptibility (χ3) was determined. The laser damage threshold of MPN crystal is studied and it is estimated as 5.12 GW/cm2. The highest occupied molecular orbital (HOMO), lowest unoccupied molecular orbital (LUMO) and molecular tying-up explorations were executed. Ground state enhanced geometry and molecular electrostatic potential (MEP) were analysed.

Published
2023
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4. Investigating the physicochemical properties and pharmacokinetics of curcumin employing density functional theory and gastric protection

Author

Suhailah Wasman Qader, A. Suvitha, Mehmet Ozdemir, Innocent Benjamin, Anu Sai Ram NSA, Martilda U. Akem, Ahuekwe Eze Frank, and Emereze C. Eluwa

Subjects
Curcumin, Pharmacokinetics, DFT, Gastric protection, Physicochemical characteristics, Physics, QC1-999, Chemistry, QD1-999
Abstract

The extraction, isolation as well as theoretical investigation of Cumcuma Xanthoriz (cxz) molecule was evaluated to ascertain the physicochemical properties (pc) of the investigated compound. The plant extracts were isolated and characterized using NMR, FT-IR and UV-Vis Spectroscopy study. Pre-geometry characterization as well as theoretical analysis were performed within the frame of density functional theory (DFT) at B3LYP/6-311++ G (d,p) level of theory. Global descriptors were calculated at the same level of theory to ascertain the molecular stability, chemical reactivity of the investigated molecules. Stabilization studies was conducted to properly evaluate the stability of the complex and as such, the result obtained divulged that the charge delocalization from sigma (σ) to anti-sigma (σ*) molecular orbital contributed chiefly to the molecular stability of the studied compound. The calculated UV-Vis spectroscopy study reveal that all absorption spectrum occurred at the visible region (400nm-700nm) which correlate with the experimental ʎmax obtained. Excitation of CXZ was observed to emanate from π→π*electronic transition. Result from the topology and admet properties explicates that CXZ molecule exhibited good ADMET properties and therefore suggests its suitability as potential plant based drug.

Published
2022
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5. Nonlinear optical crystalline nature bis (2,6-diaminopyridinium) hydrogen phthalate nitrate monohydrate (APPN): Development and its phase matching nature

Author

P. Vivek, M. Rekha, Ananth Steephen, RO. MU. Jauhar, G. Saravana Kumar, A. Suvitha, N. Karunagaran, and M. Kowsalya

Subjects
APPN crystal, Optical properties, Mechanical properties, Optical limiting, Effective nonlinearity, Optics. Light, QC350-467
Abstract

Bis (2,6-Diaminopyridinium) single crystal hydrogen phthalate nitrate monohydrate (APPN) has been successfully cultivated via the growth method of slow evaporation solution. A single crystal X-ray diffraction analysis has confirmed the lattice parameters of the cultivated APPN crystal (XRD). UV, optical restriction, refractive index and birefringence measurements were used to determine the optical performance of the APPN. By Vickers micro hardness measurements, the mechanical strength of the grown APPN crystal has been determined. Effective nonlinearity has also been measured in the second and third orders.

Published
2021
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34. Expert Performance in Visual Differentiation of Bacterial and Fungal Keratitis

Author

Redd, Travis K, Prajna, N Venkatesh, Srinivasan, Muthiah, Lalitha, Prajna, Krishnan, Tiru, Rajaraman, Revathi, Venugopal, Anitha, Lujan, Brandon, Acharya, Nisha, Seitzman, Gerami D, Rose-Nussbaumer, Jennifer, Lietman, Thomas M, Campbell, J Peter, Keenan, Jeremy D, Group, Corneal Ulcer Image Interpretation Study, Alvarez-Melloni, Diana, Ayalew, Menen, Balasubramanian, Ashwin, Chan, Elsie, Chan, Matilda, Chaudhary, Meenu, Chia, Thomas, Chodosh, James, Choong, YY, Christenbury, Joseph, Christy, Josephine, Clements, John, Dart, John, Dastjerdi, Mohammad, Denny, Matthew, Devarajan, Sathish, Elghobaier, Mohamed, Estopinal, Chris, Gandhi, Preethika, Gokhale, Nikhil, Halfpenny, Colleen, Hazarbassanov, Rossen, Hernandez, Natalie, Hovakimyan, Anna, Hwang, David, Hwang, Frank, Jaeschke, Tomas, Jhanji, Vishal, Karas, Faris, Karthik, Divya, Kase, Camila, Kattana, Lakshmi, Kim, Tyson, Koreishi, Aaleya, Liang, David, Martinez, Christine, Martinez-Costa, Rafael, McLeod, Stephen, Mehta, Jodhbir S, Mimouni, Michael, Moss, Adam, Nanji, Afshan, Nataneli, Nathan, Panday, Vasudha, Pradhan, Sayali, Qian, Ying, Rao, Naveen, Schallhorn, Julie, Sella, Ruti, Selvaraj, Suvitha, Spokes, David, Shaik, Neha, Shekhawat, Nakul, Sugar, Alan, Rostov, Audrey Talley, Tananuvat, Napaporn, Tangmonkongvoragul, Chulaluck, Trinh, Tanya, Tuli, Sonal, Upaphong, Phit, van Dooren, Bart, Vasudevan, Manoj, Viriya, Elizabeth, and Woodward, Maria

Subjects
Area Under Curve, Bacteria, Cornea, Corneal Ulcer, Diagnosis, Differential, Diagnostic Techniques, Ophthalmological, Expert Systems, Eye Infections, Bacterial, Eye Infections, Fungal, Fungi, Humans, ROC Curve, Specialization, Bacterial keratitis, Corneal ulcer, Fungal keratitis, Infectious keratitis, Corneal Ulcer Image Interpretation Study Group, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services, Ophthalmology & Optometry
Abstract

This study quantifies the performance of an international cohort of cornea specialists in image-based differentiation of bacterial and fungal keratitis, identifying significant regional variation and establishing a reference standard for comparison against machine learning models.

Published
2022

35. Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis

Author

Chalkou, Konstantina, Steyerberg, Ewout, Bossuyt, Patrick, Subramanian, Suvitha, Benkert, Pascal, Kuhle, Jens, Disanto, Giulio, Kappos, Ludwig, Egger, Matthias, and Salanti, Georgia

Subjects
Statistics - Applications
Abstract

Prognosis on the occurrence of relapses in individuals with Relapsing-Remitting Multiple Sclerosis (RRMS), the most common subtype of Multiple Sclerosis (MS), could support individualized decisions and disease management and could be helpful for efficiently selecting patients in future randomized clinical trials. There are only three previously published prognostic models on this, all of them with important methodological shortcomings. We aim to present the development, internal validation, and evaluation of the potential clinical benefit of a prognostic model for relapses for individuals with RRMS using real world data. We followed seven steps to develop and validate the prognostic model. Finally, we evaluated the potential clinical benefit of the developed prognostic model using decision curve analysis. We selected eight baseline prognostic factors: age, sex, prior MS treatment, months since last relapse, disease duration, number of prior relapses, expanded disability status scale (EDSS), and gadolinium enhanced lesions. We also developed a web application where the personalized probabilities to relapse within two years are calculated automatically. The optimism-corrected c-statistic is 0.65 and the optimism-corrected calibration slope was 0.92. The model appears to be clinically useful between the range 15% and 30% of the threshold probability to relapse. The prognostic model we developed offers several advantages in comparison to previously published prognostic models on RRMS. Importantly, we assessed the potential clinical benefit to better quantify the clinical impact of the model. Our web application, once externally validated in the future, could be used by patients and doctors to calculate the individualized probability to relapse within two years and to inform the management of their disease.

Published
2021
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36. Automatic Classification of Slit-Lamp Photographs by Imaging Illumination

Author

Lu, Ming-Chen, Deng, Callie, Greenwald, Miles F., Farsiu, Sina, Prajna, N. Venkatesh, Nallasamy, Nambi, Pawar, Mercy, Hart, Jenna N., SR, Sumithra, Kochar, Prabhleen, Selvaraj, Suvitha, Levine, Harry, Amescua, Guillermo, Sepulveda-Beltran, Paula A., Niziol, Leslie M., Woodward, Maria A., Niziol, Leslie M., Khan, Mariam, Winter, Suzanne, Sherman, Eric, Miller, Keith D., Kang, Linda, Touhy, Megan, Soeken, Tim, Armenti, Stephen T., Kochar, Prabhleen, Sumithra, Sr, Kuppuraj, Dhanya, and Loo, Jessica

Published
2024
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