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  1. Article ; Online: Ecological risk assessment of silicon dioxide nanoparticles in a freshwater fish Labeo rohita: Hematology, ionoregulation and gill Na(+)/K(+) ATPase activity.

    Krishna Priya, K / Ramesh, M / Saravanan, M / Ponpandian, N

    Ecotoxicology and environmental safety

    2015  Volume 120, Page(s) 295–302

    Abstract: The fate and effect of nanomaterials in the environment has raised concern about their environmental risk to aquatic organisms. Silica nanoparticles (SiO2-NPs) find its uses in various fields and are inevitably released into the environment. However, the ...

    Abstract The fate and effect of nanomaterials in the environment has raised concern about their environmental risk to aquatic organisms. Silica nanoparticles (SiO2-NPs) find its uses in various fields and are inevitably released into the environment. However, the ecotoxicological effects of SiO2-NPs on the freshwater fish remain poorly understood. The aim of this study was to evaluate the effect of different concentrations (1, 5 and 25mgL(-1)) of SiO2-NPs on certain hematological, ionoregulatory and enzymological profiles of a freshwater teleost fish Labeo rohita. Hematological parameters such as hemoglobin (Hb), hematocrit (Hct), red blood cells (RBC), white blood cells (WBC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) values were altered in SiO2-NPs treated groups. Likewise, plasma electrolytes such as plasma sodium (Na(+)), potassium (K(+)) and chloride (Cl(-)) levels and Na(+)/K(+) ATPase activity in gill of SiO2-NPs treated groups were altered in all concentrations throughout the study period (96h). The alterations of these parameters were found to be dependent on dose and exposure period. The results of the present study indicate that the alterations of these parameters may relate to physiological stress system to SiO2-NPs toxicity and also demonstrate that manufactured metal oxide NPs in aquatic environment may affect the health condition of the aquatic organisms.
    MeSH term(s) Animals ; Cyprinidae/metabolism ; Erythrocyte Indices ; Erythrocytes ; Fresh Water/chemistry ; Gills/drug effects ; Gills/enzymology ; Hematocrit ; Hemoglobins/metabolism ; Leukocyte Count ; Nanoparticles/chemistry ; Nanoparticles/toxicity ; Potassium/blood ; Risk Assessment ; Silicon Dioxide/chemistry ; Silicon Dioxide/toxicity ; Sodium/blood ; Sodium-Potassium-Exchanging ATPase/metabolism ; Toxicity Tests, Acute ; Water Pollutants, Chemical/chemistry ; Water Pollutants, Chemical/toxicity
    Chemical Substances Hemoglobins ; Water Pollutants, Chemical ; Silicon Dioxide (7631-86-9) ; Sodium (9NEZ333N27) ; Sodium-Potassium-Exchanging ATPase (EC 3.6.3.9) ; Potassium (RWP5GA015D)
    Language English
    Publishing date 2015-10
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 436536-7
    ISSN 1090-2414 ; 0147-6513
    ISSN (online) 1090-2414
    ISSN 0147-6513
    DOI 10.1016/j.ecoenv.2015.05.032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: COMBINING THE SPECTRAL FEATURES TO IDENTIFY THE MUSICAL INSTRUMENTS AND RECOGNIZE THE EMOTION FROM MUSIC

    Janani.S / Iyswarya.K / Krishna Priya.K.P / Maria Michael Visuwasam.L.

    International Journal on Computer Science and Engineering, Vol 4, Iss 6, Pp 1253-

    2012  Volume 1259

    Abstract: Music can influence Human pervasive that can console, motivate, feel the love and hate or even bring us tears. Instrument plays a vital role in Musical Composition. ‘Combining the Spectral Features To Identify the Musical Instruments and Recognize the ... ...

    Abstract Music can influence Human pervasive that can console, motivate, feel the love and hate or even bring us tears. Instrument plays a vital role in Musical Composition. ‘Combining the Spectral Features To Identify the Musical Instruments and Recognize the Emotion from a Music’ aims at providing the most easy and efficient method to identify the emotion of the song which can be used for Music Therapy. Our proposed work includes Identifying the Musical Instruments using Dynamic Time Warping (DTW) Technique [3] which is a time alignment method. Since Spectrogram features are combined with MFCC the Musical Instruments can be effectively identified. Emotion Recognitionestimates the mood of the Musical song which becomes an important aspect of Music Information Retrieval. This Musical Information can be determined by extracting the Features of Dynamics, Timbre, Harmony, Rhythm and Articulation. Using these features the Emotional Values are estimated by a Three- Dimensional Emotional Space which involves Valence, Activity and Tension which is analogous tonegatively excited, positively excited and calm neutral space. The effect of combining the Spectral Features degrades the performance of the system, which can be resolved by applying Dimensionality Reduction Process. This provides very stable and successful emotional classification.
    Keywords DTW ; MFCC ; Emotion ; Timbre ; Valence. ; Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Computer Science ; DOAJ:Technology and Engineering
    Subject code 780
    Language English
    Publishing date 2012-06-01T00:00:00Z
    Publisher Engg Journals Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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