Dehydrodivanillin: Multi-dimensional NMR Spectral Studies, Surface Morphology and Electrical Characteristics of Thin Films

Manoj Gaur,Jaya Lohani,V. R. Balakrishnan,P. Raghunathan,S. V. Eswaran 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.12

The complete structural characterization of dehydrodivanillin, an important natural product of interest to the food, cosmetics and aroma industries, has been carried out using multi-dimensional NMR spectroscopic techniques, and its previously reported 13C-NMR values have been reassigned. Dense and granular thin films of dehydrodivanillin have been grown by sublimation under high vacuum and studied using Scanning Electron Microscopy (SEM), electrical and optical techniques. The transmittance spectra of the films indicate a wide optical band gap of more than 3 eV. Typical J-V characteristics of Glass/ITO/dehydrodivanillin/Al structure exhibited moderate current densities ~10-4 A/cm2 at voltages > 25 V with an appreciable SCLC mobility of the order of 10-6 cm2/V-s.

Prognosis of Alzheimer's Disease Progression from Mild Cognitive Impairment Using Apolipoprotein-E Genotype

Rohini M.,Surendran D.,Manoj S. Oswalt 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2

Alzheimer's disease (AD), cerebrovascular disease, Lewy-body disease, and Frontal–temporal degeneration disease are the age-related cognitive impairments that cause dementia. However, AD is the primary cause of dementia that causes brain cell degeneration in the geriatric community. Brain cell degeneration is the crucial cause of AD, due to the abnormal accumulation of indissoluble clumps known as plaques and tangles in the human brain's neurons. Amyloid precursor protein levels and Apolipoprotein -E gene are the biomarkers of AD since it causes accumulations and hence blocks the neuron transport system throughout the body. The early onset of AD includes mild-cognitive impairment (MCI) that progresses to complete dementia. Many related works include AD prediction using clinical modality images and cognitive assessments scores of the individuals but have not addressed comparative genome study for signifi cant subjects. However, there is a lack of aff ordable biomarkers for the eff ective early detection of high-risk individuals. In this study, we utilize one or more features of Magnetic Resonance Imaging (MRI) tests and Apolipoprotein-E genotype sequence that provides more signifi cant biomarkers for the early prediction. The ML classifi ers including Support vector classifi er, Gaussian process, AdaBoost, Random Forest, Decision trees learns the subset of patterns that predicts the AD with gene descriptors from microRNA expression profi le and the profi led gene pattern. These signifi cant multiple gene descriptors provide a supportive prediction methodology that apply genotype strength with the ensemble classifi ers. The fi nal optimal model is given by validation evaluations. The support vector classifi er and Random Forest classifi ers had given consistent results for disease conversion and progression from MRI attributes and had given promising results with the validation that showed accuracy greater than 80% and F1 weighted score of 0.8 in disease classifi cation and prognosis. The experimental results had proven 95% accuracy in the saliency values of APOE isoforms implemented in DragonNN framework that will vary AD pathogenic. Hence particular focus and clinical interventions can be given on Aβ genome dependent subjects that predicts the disease

Preparation, In vitro, Preclinical and Clinical Evaluations of Once Daily Sustained Release Tablets of Aceclofenac

S. Mutalik,A. Naha,A. N. Usha,A. K. Ranjith,P. Musmade,K. Manoj,P. Anju,S. Prasanna 대한약학회 2007 Archives of Pharmacal Research Vol.30 No.2

The objective of the present study was to develop “once daily” sustained release tablets of aceclofenac by direct compression using hydroxypropyl methylcellulose-K4M (HPMC). The solubility studies of aceclofenac were conducted to select suitable dissolution media. The drugexcipient mixtures were subjected to preformulation studies. The tablets were subjected to physicochemical, in vitro drug release and stability studies. Preclinical (anti-inflammatory, analgesic, pharmacokinetic and toxicity studies) and clinical pharmacokinetic studies were conducted for optimized tablets. Based on the preformulation results, microcrystalline cellulose (MCC), dicalcium phosphate and spray dried lactose (SDL) were selected as directly compressible vehicles. Because of the incompatibility with aceclofenac, SDL was excluded from the study. The physicochemical properties of tablets were found within the limits. By comparing the dissolution profiles with the marketed product, the tablet containing HPMC (45%) and MCC (30%) along with talc and magnesium stearate (1% w/w, each) (Tablet B7) was considered as a better formulation. This tablet exhibited almost similar drug release profile in different dissolution media as that of marketed tablet. Tablet B7 was stable in accelerated conditions for 6 months. The composition of this tablet showed almost similar preclinical pharmacological activities compared to marketed tablet composition and did not exhibit any toxicity in rats and mice with respect to tested haematological and biochemical parameters along with body weight, food and water intake. The pharmacokinetic study in healthy human volunteers indicated that B7 tablet produced an extended drug release of drug upto 24 h as that of marketed product with almost identical pharmacokinetic parameters.

Analysis and Identifying of Important Features on Road Accidents by using Machine Learning Algorithms

( Manoj Kushwaha ),( M. S. Abirami ),( Corresponding Author M. S. Abirami ) 한국감성과학회 2021 추계학술대회 Vol.2021 No.0

Accidents occurred usually on roads, which bring enormous losses to society. Road accidents are a universal problem which causes the loss of precious human lives and property. The purpose of this paper is to extract important influence features of road accidents and reduce the dimensionality of datasets for getting better results from machine learning algorithms. Collected datasets from Kaggle and constructed new datasets from existing datasets based on the influence feature of road accidents and perform preprocessing, feature selection and feature extraction. Feature selection is done using heat map and correlation matrix. Feature extraction is done using dimensionality reduction methods such as the Principal Component Analysis (PCA), Linear discriminate analysis (LDA) and t-Distributed Stochastic Neighbor Embedding (t-SNE). The different feature extraction techniques are applied and the results are compared based on the accuracy parameter. It was found that LDA performs better than PCA with accuracy of 85% which uses Random Forest classifier.

Agrobacterium tumefaciens Mediated Genetic Transformation of Pigeonpea [Cajanus cajan (L.) Millsp.]

Kumar, S.Manoj,Syamala, D.,Sharma, Kiran K.,Devi, Prathibha The Korean Society of Plant Biotechnology 2004 Plant molecular biology and biotechnology research Vol.6 No.2

Optimal protocol for efficient genetic transformation has been defined to aid future strategies of genetic engineering in pigeon pea with agronomically important genes. Transgenic pigeonpea plants were successfully produced through Agrobacterium tumefaciens-mediated genetic transformation method using cotyledonary node explants by employing defined culture media. The explants were co-cultivated with A. tumefaciens strain C-58 harboring the binary plasmid, pCAMBIA-1301 [con-ferring $\beta$-glucuronidase(GUS) activity and resistance to hygromycin] and cultured on selection medium (regeneration medium supplemented with hygromycin) to select putatively transformed shoots. The shoots were then rooted on root induction medium and transferred to pots containing sand and soil mixture in the ratio of 1:1. About 22 putative TO transgenic plants have been produced. Stable expression and integration of the transgenes in the putative transgenics were confirmed by GUS assay, PCR and Southern blot hybridization with a transformation efficiency of over 45%. Stable integration and expression of the marker gene has been confirmed in the TO and T1 transgenics through PCR, and Southern hybridization.

Effect of separate and mixed refining of hardwood and softwood pulps on paper properties

Vipul S. Chauhan,Nitin Kumar,Manoj Kumar,Swapan K. Chakrabarti,S. K. Thapar 한국펄프·종이공학회 2011 펄프.종이기술 Vol.43 No.4

Dehydrodivanillin: Multi-dimensional NMR Spectral Studies, Surface Morphology and Electrical Characteristics of Thin Films

Gaur, Manoj,Lohani, Jaya,Balakrishnan, V.R.,Raghunathan, P.,Eswaran, S.V. Korean Chemical Society 2009 Bulletin of the Korean Chemical Society Vol.30 No.12

The complete structural characterization of dehydrodivanillin, an important natural product of interest to the food, cosmetics and aroma industries, has been carried out using multi-dimensional NMR spectroscopic techniques, and its previously $reported^{13}$C-NMR values have been reassigned. Dense and granular thin films of dehydrodivanillin have been grown by sublimation under high vacuum and studied using Scanning Electron Microscopy (SEM), electrical and optical techniques. The transmittance spectra of the films indicate a wide optical band gap of more than 3 eV. Typical J-V characteristics of Glass/ITO/dehydrodivanillin/Al structure exhibited moderate current densities ${\sim}10^{-4}\;A/cm^2$ at voltages > 25 V with an appreciable SCLC mobility of the order of $10^{-6}\;cm^2$/V-s.

Unleashing the resilience of Reinforced Concrete Member retrofitted with composite laminates

K.S. Navaneethan,S. Anandakumar,S. Manoj,P.C. Murugan 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.5

This work presents experimental results on the performance of Aramid Fiber Reinforced Polymer (AFRP) laminates used inthe flexural retrofitting of full-scale reinforced concrete beams. The effects of variables including reinforcement placement,retrofitting orientation, and AFRP lifespan are examined. The experimental findings provide compelling evidence thatstructurally damaged beams can be retrofitted with AFRP composite material to restore their strength and stiffness. In mostcases, the retrofitted beams perform as well as, if not better than, the control beams. The efficiency of the AFRP strengtheningmethod in flexure, however, was found to vary with beam length. The examinations revealed that plate debonding was theleading cause of the failures observed. In order to overcome this difficulty, it is crucial to enhance the bonding processesbetween the AFRP laminates and the concrete substrate.

Anti-Cell Proliferative Efficacy of Ferulic Acid Against 7, 12-dimethylbenz(a) Anthracene Induced Hamster Buccal Pouch Carcinogenesis

Prabhakar, M. Manoj,Vasudevan, K.,Karthikeyan, S.,Baskaran, N.,Silvan, S.,Manoharan, S. Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10

The present study was designed to explore the anti-cell proliferative efficacy of ferulic acid by analysing the expression pattern of cell proliferative markers, proliferating cellular nuclear antigen (PCNA) and cyclin D1, in the buccal mucosa of golden Syrian hamsters treated with 7,12-dimethylbenz(a)anthracene (DMBA). Oral squamous cell carcinomas developed in the buccal pouch of hamsters using topical application of 0.5% DMBA three times a week for 14 weeks. Immunohistochemical (PCNA) and RT-PCR (Cyclin D1) analysis revealed over expression of PCNA and cyclin D1 in the buccal mucosa of hamsters treated with DMBA alone (tumor bearing hamsters). Oral administration of ferulic acid at a dose of 40 mg/kg bw to hamsters treated with DMBA not only completely prevented the tumor formation but also down regulated the expression of PCNA and cyclin D1. The results of the present study thus suggests that ferulic acid might have inhibited tumor formation in the buccal mucosa of hamsters treated with DMBA through its anti-cell proliferative potential as evidenced by decreased expression of PCNA and cyclin D1.

Proton therapy for reducing heart and cardiac substructure doses in Indian breast cancer patients

Sapna Nangia(Sapna Nangia ),Nagarjuna Burela(Nagarjuna Burela ),M. P. Noufal(M. P. Noufal ),Kartikeswar Patro(Kartikeswar Patro ),Manoj Gulabrao Wakde(Manoj Gulabrao Wakde ),Dayanada S. Sharma(Dayanad 대한방사선종양학회 2023 Radiation Oncology Journal Vol.41 No.2

Purpose: Indians have a higher incidence of cardiovascular diseases, often at a younger age, than other ethnic groups. This higher baseline risk requires consideration when assessing additional cardiac morbidity of breast cancer treatment. Superior cardiac sparing is a critical dosimetric advantage of proton therapy in breast cancer radiotherapy. We report here the heart and cardiac-substructure doses and early toxicities in breast cancer patients treated post-operatively with proton therapy in India’s first proton therapy center. Materials and Methods: We treated twenty breast cancer patients with intensity-modulated proton therapy (IMPT) from October 2019 to September 2022, eleven after breast conservation, nine following mastectomy, and appropriate systemic therapy, when indicated. The most prescribed dose was 40 GyE to the whole breast/chest wall and 48 GyE by simultaneous integrated boost to the tumor bed and 37.5 GyE to appropriate nodal volumes, delivered in 15 fractions. Results: Adequate coverage was achieved for clinical target volume (breast/chest wall), i.e., CTV40, and regional nodes, with 99% of the targets receiving 95% of the prescribed dose (V95% > 99%). The mean heart dose was 0.78 GyE and 0.87 GyE for all and left breast cancer patients, respectively. The mean left anterior descending artery (LAD) dose, LAD D0.02cc, and left ventricle dose were 2.76, 6.46, and 0.2 GyE, respectively. Mean ipsilateral lung dose, V20Gy, V5Gy, and contralateral breast dose (Dmean) were 6.87 GyE, 14.6%, 36.4%, and 0.38 GyE, respectively. Conclusion: The dose to heart and cardiac substructures is lower with IMPT than published photon therapy data. Despite the limited access to proton therapy at present, given the higher cardiovascular risk and coronary artery disease prevalence in India, the cardiac sparing achieved using this technique merits consideration for wider adoption in breast cancer treatment.