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      • 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.

      • KCI등재

        Synthetization and investigation on mechanical characteristics of aluminium alloy 7075 with TiB2 composite

        M. Manoj,G.R. Jinu,T. Muthuramalingam,R. Leo Bright Singh 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.4

        The ceramic particles reinforced with aluminium metal matrix composites(AMMCs) has found its usage in variousapplications due to its distinct performance parameters. In the present study, an effort was made to synthesize and analysethe mechanical characteristics of TiB2 reinforced Al7075 metal matrix composites (MMCs) using stir casting technique byvarying the weight percentage of TiB2. The micro Vickers hardness, tensile strength, flexural properties are considered as theperformance measures in the present investigation. It was found that the addition of TiB2 could enhance the mechanicalcharacteristics of the MMCs significantly. The enhancement in hardness of the MMCs is due to the amalgamation of rigorousreinforcement in the matrix. The TiB2 reinforcement in the matrix alloy was found to increase the tensile and flexural strengthof AMMCs considerably. The TiB2 particles are consistently disseminated in aluminium matrix alloy with considerablebonding strength.

      • 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.

      • SCISCIESCOPUS

        THE <i>SPITZER</i> INFRARED SPECTROGRAPH SURVEY OF PROTOPLANETARY DISKS IN ORION A. I. DISK PROPERTIES

        Kim, K. H.,Watson, Dan M.,Manoj, P.,Forrest, W. J.,Furlan, Elise,Najita, Joan,Sargent, Benjamin,Herná,ndez, Jesú,s,Calvet, Nuria,Adame, Lucí,a,Espaillat, Catherine,Megeath, S. T.,Muz American Astronomical Society 2016 The Astrophysical journal Supplement series Vol.226 No.1

        <P>We present our investigation of 319 Class II objects in Orion A observed by Spitzer/IRS. We also present the follow-up observations of 120 of these Class II objects in Orion A from the Infrared Telescope Facility/SpeX. We measure continuum spectral indices, equivalent widths, and integrated fluxes that pertain to disk structure and dust composition from IRS spectra of Class II objects in Orion A. We estimate mass accretion rates using hydrogen recombination lines in the SpeX spectra of our targets. Utilizing these properties, we compare the distributions of the disk and dust properties of Orion A disks with those of Taurus disks with respect to position within Orion A (Orion Nebular Cluster [ONC] and L1641) and with the subgroups by the inferred radial structures, such as transitional disks (TDs) versus radially continuous full disks (FDs). Our main findings are as follows. (1) Inner disks evolve faster than the outer disks. (2) The mass accretion rates of TDs and those of radially continuous FDs are statistically significantly displaced from each other. The median mass accretion rate of radially continuous disks in the ONC and L1641 is not very different from that in Taurus. (3) Less grain processing has occurred in the disks in the ONC compared to those in Taurus, based on analysis of the shape index of the 10 mu m silicate feature (F-11.3/F-9.8). (4) The 20-31 mu m continuum spectral index tracks the projected distance from the most luminous Trapezium star, theta(1) Ori C. A possible explanation is UV ablation of the outer parts of disks.</P>

      • SCOPUSKCI등재

        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.

      • KCI등재

        Chronic Nonmodulated Microwave Radiations in Mice Produce Anxiety-like and Depression-like Behaviours and Calcium- and NO-related Biochemical Changes in the Brain

        Manoj Kumar,Surya P. Singh,Chandra M. Chaturvedi 한국뇌신경과학회 2016 Experimental Neurobiology Vol.25 No.6

        The present study was aimed to investigate behavioural and biochemical effects of chronic exposure of amplitude modulated and non-modulated microwave radiation on laboratory mice. Chronic microwave exposures were executed with 2.45 GHz of either modulated (power density, 0.029 mW/cm2; specific absorption rate, 0.019 W/Kg with sinusoidal modulation of 400 Hz) or nonmodulated continuous sinusoidal wave (power density, 0.033 mW/cm2; specific absorption rate, 0.023 W/Kg) for 2 hrs daily for 1 month. Mice subjected to non-modulated microwave exposure had significantly increased acetylcholinesterase activity and increased intracellular calcium and nitric oxide levels in the cerebral cortex and hippocampus, and also had increased glucose and corticosterone levels in blood compared to control mice. These non-modulated microwave-exposed mice exhibited anxiety-like and depression-like behaviours. In contrast, mice exposed to modulated microwave for the same period did not show such changes in concomitant biochemical and behavioural analyses. These results suggest that chronic non-modulated microwave, but not modulated microwave, radiation may cause anxiety-like and depression-like behaviours and calcium- and NO-related biochemical changes in the brain.

      • KCI등재

        Effect of oxygen ambient on structural, optical and electrical properties of epitaxial Al-doped ZnO thin films on r-plane sapphire by pulsed laser deposition

        Manoj Kumar,최세영,R.M. Mehra 한국물리학회 2009 Current Applied Physics Vol.9 No.4

        Al-doped ZnO (ZnO:Al) thin films were grown epitaxially on r-plane sapphire substrate by pulsed laser deposition. Substrate temperature of 400 ℃ and pulsed repetition rate of 5 Hz was kept constant during the deposition. The effect of oxygen ambient pressure from 0.1 to 10 mTorr on structural, optical and electrical properties of the ZnO:Al films were investigated. The lowest resistivity was found to be 2.14 × 10-3 Ω-cm with a carrier concentration of 6.89 × 1019 cm-3 for the film deposited in 1 mTorr of oxygen pressure. ZnO:Al film revealed smoother surface obtained at oxygen ambient pressure of 1 mTorr. The epitaxial relationship between ZnO:Al films and r-plane sapphire was found to be (0001)ZnO // (0112)sapp and [1010]ZnO // [0111]sapp. Photoluminescence spectra of the film grown at the oxygen ambient pressure of 1 mTorr exhibited peak at 3.34 eV, without any deep level. Al-doped ZnO (ZnO:Al) thin films were grown epitaxially on r-plane sapphire substrate by pulsed laser deposition. Substrate temperature of 400 ℃ and pulsed repetition rate of 5 Hz was kept constant during the deposition. The effect of oxygen ambient pressure from 0.1 to 10 mTorr on structural, optical and electrical properties of the ZnO:Al films were investigated. The lowest resistivity was found to be 2.14 × 10-3 Ω-cm with a carrier concentration of 6.89 × 1019 cm-3 for the film deposited in 1 mTorr of oxygen pressure. ZnO:Al film revealed smoother surface obtained at oxygen ambient pressure of 1 mTorr. The epitaxial relationship between ZnO:Al films and r-plane sapphire was found to be (0001)ZnO // (0112)sapp and [1010]ZnO // [0111]sapp. Photoluminescence spectra of the film grown at the oxygen ambient pressure of 1 mTorr exhibited peak at 3.34 eV, without any deep level.

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

        ( Manoj Kushwaha ),( M. S. Abirami ) 한국감성과학회 2021 한국감성과학회 국제학술대회(ICES) Vol.2021 No.-

        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.

      • KCI등재

        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

      • Polarized Raman scattering and lattice eigenmodes of antiferromagnetic NdFeO<sub>3</sub>

        Singh, Manoj K.,Jang, Hyun M.,Gupta, H. C.,Katiyar, Ram S. John Wiley Sons, Ltd. 2008 JOURNAL OF RAMAN SPECTROSCOPY - Vol.39 No.7

        <P>The first- and second-order Raman-active phonons in the orthorhombic Pbnm NdFeO<SUB>3</SUB> single crystals were studied by means of polarized Raman scattering and lattice dynamics computations (LDC). The zone-center phonons of A<SUB>g</SUB> symmetry were distinguished from the B<SUB>1g</SUB> eigenmodes by performing polarized Raman scattering experiments using two parallel polarization configurations, X′(ZZ)X′ and Z(X′X′)Z. With the help of LDC, we were able to assign most of the observed Raman-active modes, including phonons of B<SUB>2g</SUB> and B<SUB>3g</SUB> symmetry. The LDC results indicated that among the 16 force constants employed, the one corresponding to the stretching vibration between the central Fe cation and the axial oxygen atom in a FeO<SUB>6</SUB> octahedron unit had the largest value. This suggests that the B-site Fe cation is more tightly bound to the axial O1 ion than the other two equatorial O2 ions. It was further shown that at higher wavenumbers, the displacement of oxygen atoms contributed dominantly to the zone-center vibrations. Copyright © 2008 John Wiley & Sons, Ltd.</P>

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