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Evaluation of Hepatoprotective Potential of Cassia tora Leaf Extract
Maity, Tapan Kumar,Mandal, Subhash C.,Mukherjee, Pulok K.,Saha, Kakali,Das, J.,Saha, B.P.,Pal, M. The Korean Society of Pharmacognosy 1997 Natural Product Sciences Vol.3 No.2
Methanolic extract of the leaves of Cassia tom was evaluated for its hepatoprotective potentials in rats by inducing hepatotoxicity with carbon tetrachloride. The extract at a dose of 400 mg/kg orally showed significant protective effect by lowering the serum levels of transaminase (SGOT and SGPT), bilirubin and alkaline phosphatase (ALP). The effects produced were comparable to that of a standard hepatoprotective agent.
Binary complexes of tertiary amines with phenylacetylene. Dispersion wins over electrostatics
Maity, Surajit,Patwari, G. Naresh,Karthikeyan, S.,Kim, Kwang S. Royal Society of Chemistry 2010 Physical chemistry chemical physics Vol.12 No.23
<P>The structures of the binary complexes between phenylacetylene and several tertiary amines <I>viz</I>., triethylamine, 1-ethylpiperidine, 1-ethylpiperazine, 1-azabicyclo[2.2.2]octane, and 1,4-diazabicyclo[2.2.2]octane were inferred using infrared-optical double resonance spectroscopy. The IR spectra in the acetylenic C–H stretching region clearly rule out the formation of electrostatic dominated C–H⋯N hydrogen bonded complexes. The IR spectra also point to the fact that all the five tertiary amines interact with the extended π electron density of the phenylacetylene moiety, leading to the formation of multidentate C–H⋯π hydrogen bonded complexes. Additionally a very weak electrostatic C–H⋯N hydrogen bond enhances the stability of the complex marginally. The multidentate C–H⋯π hydrogen bonded complexes are stabilized by a substantial contribution from the dispersion energy.</P> <P>Graphic Abstract</P><P>The fluorescence detected infrared spectra suggest that 1,4-diazabicyclo[2.2.2]octane interacts with phenylacetylene <I>via</I> dispersion dominated multiple C–H⋯π hydrogen bonds. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=b918013c'> </P>
On Semirings which are Distributive Lattices of Rings
Maity, S.K. Department of Mathematics 2005 Kyungpook mathematical journal Vol.45 No.1
We introduce the notions of nilpotent element, quasi-regular element in a semiring which is a distributive lattice of rings. The concept of Jacobson radical is introduced for this kind of semirings.
Damage assessment of structures from changes in natural frequencies using genetic algorithm
Maity, Damodar,Tripathy, Rashmi Ranjan Techno-Press 2005 Structural Engineering and Mechanics, An Int'l Jou Vol.19 No.1
A method is presented to detect and assess the structural damage from changes in natural frequencies using Genetic Algorithm (GA). Using the natural frequencies of the structure, it is possible to formulate the inverse problem in optimization terms and then to utilize a solution procedure employing GA to assess the damages. The technique has been applied to a cantilever beam and a plane frame, each one with different damage scenario to study the efficiency of the developed algorithm. A laboratory tested data has been used to verify the proposed algorithm. The study indicates the potentiality of the developed code to solve a wide range of inverse identification problems in a systematic way. The outcomes show that this method can detect and estimate the amount of damages with satisfactory precision.
Debarati Maity,Anagha S. Sabnis 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.123 No.-
The incorporation of nanoparticles in various coatings has enhanced coating performances, thus attractingmany researchers to explore nanocomposite coatings. In order to synthesize a novel nanocompositecoating, dehydrated castor oil (DCO - biobased non-edible vegetable oil) was epoxidized with performicacid (HCOOOH) and cured with methyltetrahydrophthalic anhydride (MTHPA) in presence of tertiaryamine accelerator, 1-methyl imidazole (1-MI) and characterized by FTIR and 1H NMR. Simultaneously,zinc oxide (ZnO) nanoparticles were synthesized by mixing zinc acetate dihydrate (ZnAc2) with oxalicacid dihydrate (Ox2) by precipitation method and then modified organically with (3-glycidyloxypropyl)trimethoxysilane (GPTMS) by sol–gel method which was confirmed by DLS, FTIR, XRD, E-SEM, EDAX,TEM and XPS. These GPTMS-modified ZnO (G-ZnO) nanoparticles were incorporated into EDCO in variousconcentrations (0–3 wt%) and their mechanical, chemical, thermal and anticorrosion performances wereevaluated. All the coatings demonstrated outstanding mechanical and chemical properties (except foralkali resistance) whereas thermal resistance and anticorrosion properties were enhanced with increasein the loading of G-ZnO nanoparticles.
Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning
Sayan Maity,Mohamed Abdel-Mottaleb,Shihab S. Asfour 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.1
Biometrics identification using multiple modalities has attracted the attention of many researchers as it producesmore robust and trustworthy results than single modality biometrics. In this paper, we present a novel multimodalrecognition system that trains a deep learning network to automatically learn features after extracting multiplebiometric modalities from a single data source, i.e., facial video clips. Utilizing different modalities, i.e., leftear, left profile face, frontal face, right profile face, and right ear, present in the facial video clips, we trainsupervised denoising auto-encoders to automatically extract robust and non-redundant features. The automaticallylearned features are then used to train modality specific sparse classifiers to perform the multimodalrecognition. Moreover, the proposed technique has proven robust when some of the above modalities weremissing during the testing. The proposed system has three main components that are responsible for detection,which consists of modality specific detectors to automatically detect images of different modalities present infacial video clips; feature selection, which uses supervised denoising sparse auto-encoders network to capturediscriminative representations that are robust to the illumination and pose variations; and classification, whichconsists of a set of modality specific sparse representation classifiers for unimodal recognition, followed byscore level fusion of the recognition results of the available modalities. Experiments conducted on theconstrained facial video dataset (WVU) and the unconstrained facial video dataset (HONDA/UCSD), resultedin a 99.17% and 97.14% Rank-1 recognition rates, respectively. The multimodal recognition accuracydemonstrates the superiority and robustness of the proposed approach irrespective of the illumination, nonplanarmovement, and pose variations present in the video clips even in the situation of missing modalities.
Subhankar Maity,Sandeep Tiwari,Prashant Vishnoi 한국섬유공학회 2023 Fibers and polymers Vol.24 No.9
Multifunctional and durable nano-coating of titanium dioxide (TiO2) on cotton and silk fabric surface has been achieved via sol–gel method in aqueous medium at room temperature. The nanosol is coated on fabric surface by pad-dry-cure method using 1% acrylic binder to achieve durable coating. The coated fabrics are characterized by Fourier transform infrared (FTIR) spectroscopy, X-ray powder diffractometry (XRD), optical microscopy, and scanning electron microscopy (SEM). The performance of the coated fabrics against self-cleaning efficiency and UV protection is evaluated. The self-cleaning efficiency is assessed against the artificial stain of Schezwan chutney, coffee, Coca-Cola, and turmeric. Maximum stain removal efficiency is achieved with coffee stain with 81.25% and 96.63% for cotton and silk fabrics, respectively, after exposure to 20 h of sunlight. However, tensile strength and elongation of the coated fabrics decrease after the exposure to sunlight. The average size of the TiO2 particles formulated in the nanosol is found to be about 5 nm which is sufficient for scattering the UV radiation from the textile surface. The self-cleaning effect and UPF of nanosol-treated silk fabric are found to be better than that of cotton fabric. UPF of treated cotton and silk fabric is found to be 53.87 and 61.79, respectively.
Reshmi Maity,N. P. Maity,Srinivasa Rao Karumuri,Girija Sravani,K. Guha 한국전기전자재료학회 2021 Transactions on Electrical and Electronic Material Vol.22 No.6
The output acoustic energy of a capacitive micromachined ultrasonic transducer (CMUT) can be enhanced by adjusting its membrane structure. In this paper three dissimilar membranes shapes of CMUT: circular, rectangular and hexagonal, were aimed and 3D finite element method simulated using adaptive meshing technique. The displacement as well as strain and stress outputs for a single membrane and an array of four membranes on a single substrate were obtained. The simulated results are supported by analytical modeling. A static bias of 40 V and a signal of amplitude 100 mV are employed. A pressure of 8603.98 N/m 2 resulting in a force of 16.894 μN was applied at the membrane. Fixtures were provided on every possible face of the structure except the face 1 (membrane). The outcomes showed that the membrane displacement is highest for a circular geometry under same uniform pressure and area of vibration. Moreover as the distance between the elemental membranes increases the displacement decreases for circular and hexagonal membranes while the reverse behavior is observed for rectangular membranes.