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S. No

Volume-5 Issue-11, December 2018, ISSN: 2319–6378 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication

Page No.

1.

Authors:

S. A. Kalaiselvan, Teena Joseph, N. Vadivelan

Paper Title:

Interesting Unknown Facts About the Fish and Its Behavior

Abstract: The country is gifted with the vast resource in terms of water like rivers, tanks, lakes etc. A fish can be defined as an aquatic creature, which is a cold-blooded vertebrate and has gills throughout life and limbs if any are in form of fins. There are nearly 2500 species out of which 930 are freshwater and the rest are marine. Breathing in depth of the water bodies across all over the world is really amazing, charming and interesting. The fishes may come in all the aspects of different shapes, colors, and their sizes. Nearly 450 million years the fishes have in attendance, also before the occurrence of the dinosaurs the fishes have swum in the sea. This article is going to make aware the types of fishes, interesting and unknown aspects of the fishes in the sea.

Keywords: Gills, Fins, Blooded, Species, Charming

References:

  1. https://archive.usgs.gov/archive/sites/fl.biology.usgs.gov/Carp_ID/html/carassius_auratus.html
  2. http://www.notesonzoology.com/vertebrates/pisces/lung-fish-and-its-types-with-diagram-chordata-zoology/7842
  3. A. Kalaiselvan, V. Parthasarathy, (2014), “An Energy-Efficient Routing Protocol for UASN by AFISHS Optimization Algorithm”, International Journal of Applied Engineering Research, Vol. No. 9(24), pp. 30589-30602.
  4. A. Kalaiselvan, V. Parthasarathy, (2015), “Performance Evaluation of FMMS using Underwater Sensor Network, Elsevier, ICBEC 2014: October 29-30, San Diego, USA, PID - Z0005.
  5. A. Kalaiselvan, V. Parthasarathy, (2016), “An Efficient Technique in Bio Engineering forFMMS with Effective Data Communication in UWSN”, International Journal of Computer Technology and Applications, Vol.No.9(9), pp. 4191-4200.
  6. https://ohfact.com/interesting-facts-about-fish/
  7. http://www.swallowaquatics.co.uk/blog/17-crazy-facts-fish/
  8. http://www.bbc.co.uk/devon/content/articles/2006/01/17/batfish_feature.shtml
  9. http://www.seasky.org/deep-sea/atlantic-hagfish.html

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2.

Authors:

Manish Kumar Jha, Vikas Mittal

Paper Title:

Analysis of Voice Parameters for the Discrimination of Healthy Voice and Parkinson Disease Affected Voice

Abstract: Parkinson Disease (PD) seems to become one of the most prevalent neurological disorders of the twenty first century. Parkinson Disease is known to be an incurable disease because the clinical motor symptoms appear at later stages of the disease and the condition of patients at that point has become deteriorated. Moreover, the situation is further impaired by the lack of any diagnostic procedures or bio-markers for early evaluation of disease. Some recent studies on Parkinson Patients have concluded that the voice irregularities are the few very early appearing symptoms of Parkinson Disease. In this paper the voice analysis techniques are implemented to classify the Parkinson Patients on the voice parameter scales. The voice parameters which are realized in this approach are frequency, amplitude, pitch and formant, by applying Cepstral voice analysis algorithms. Besides providing patients

Keywords: Parkinson, PRAAT, Voice Parameters Etc

References:

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  2. Sakar B.E., Isenkul M.E., Sakar C.o., Sertbas A., Gurgen F., Delil s.,Apaydin H., Kursun O., "Collection and Analysis of a Parkinson SpeechDataset With Multiple Types of Sound Recordings", IEEE Journal of Biomedical and Health informatics, Vol. 17, Issue 4, pp. 828-34, 2013.
  3. Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Jennifer SpielLorraine O. Ramig, " Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease", IEEE Transactions on Biomedical Engineering, 59, Issue 5, pp. 1264-1271, 2012.
  4. Rektorova I., Mikl M., Barrett J., Marecek R., Rektor I., Paus T., "Functional neuroanatomy of vocalization in patients with Parkinson's disease" Journal of the Neurological Sciences, Elsevier, 313, pp. 7-12, 2012.
  5. Miller N., "Speech, voice and language in Parkinson's disease: changes and interventions", Future Medicine, Future science group, 10.2217 NMT.12.15,2012.
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  7. Rouzbahani H. K., Daliri M.R., "Diagnosis of Parkinson's Disease in Human Using Voice Signals", Basic and Clinical NEUROSCIENCE, Vol. 2, pp. 12-20, 2011.
  8. Bocklet T.,Noth E., Stemmer G., Ruzickova H., Rusz J., "Detection of Persons with Parkinson's Disease by Acoustic, Vocal, and Prosodic Analysis",IEEE Conference on Automatic Speech Recognition and Understanding,Waikoloa, HI, pp. 478-483, 2011.
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  11. Yang X., Tan B., Ding J., Zhang J., Gong J., "Comparative Study on Voice Activity Detection Algorithm", IEEE International Conference on Electrical and Control Engineering (ICECE), 599-602, 2010.
  12. Hirschberg J., A. Neustein (ed.), Advances in Speech Recognition: Mobile Environments, Call Centers and Clinics, "You're as Sick as You Sound": Using Computational Approaches for Modeling Speaker State to Gauge Illness and Recovery, Springer Science+Business Media, Vol. 13, pp. 305-22, 2010.
  13. Skodda, Sabine; Rinsche, Heiko; Schlegel, Uwe, "Progression of dysprosody in Parkinson's disease over time-A longitudinal study", Movement Disorders, 24, Issue 5, pp. 716-22, 2009.
  14. A. Little, P. E. McSharry, E. J. Hunter, J. Spielman, and L. O. Ramig, Suitability of dysphonia measurements for telemonitoring of Parkinson's disease", IEEE Transactions on Biomedical Engineering, Vol. 56, Issue 4, pp. 1015-1022, 2009.
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  22. Gold B., Morgan N., "Speech and Audio Signal Processing", John Wiley & Sons,
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  24. Duffy J. R., "Motor speech disorders: Substrates, differential diagnosis, and management", 2nd ed., St. Louis, MO: Elsevier Mosby, 2005
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  27. Huber J. E., Stathopoulos E. T., Ramig L. O., Lancaster S. L.,"Respiratory function and variability in individuals with Parkinson disease: Pre- and post-Lee Silverman Voice Treatment", Journal of Medical Speech-Language Pathology, 11, Issue 4, 185-201. (2003).
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  30. Geralyn M., Schulz, Megan K., "Grant effecets of speech therapy and pharmacologic and surgical treatments on voice and speech in Parkinson's Disease", Elsevier Science, Vol. 33, pp. 59-88, 2000.
  31. Bower J. H., "Multiple system atrophy", Parkinson's disease and movement disorders: Diagnosis and treatment guidelines for the practicing physician In C. H. Adler &J. E. Ahlskog, Totowa, Humana Press, pp. 235-242, 2000.
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  34. LeWitt P. A., "Parkinson's disease: Etiologic considerations", Parkinson's disease and movement disorders: Diagnosis and treatment guidelines for the ticing physician in C. H. Adler & J. E. Ahlskog, Totowa, Humana Press, rac pp. 91-101, 2000
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  40. Yegnanarayana B., Veldhuis R.N.J., "Extraction of vocal-tract system characteristics from speech signals", IEEE Transactions on Speech and Audio processing, Vol. 6, pp. 313-327, 1998.
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  42. Baker, K.K., Ramig, L.O., Luschei, E.S, & Smith, M.E., "Thyroarytenoid muscle activity associated with hypophonia in Parkinson disease and aging", Neurology, Vol. 51, pp. 1592-1598, 1998.
  43. Fox, C.M., & Ramig, L.O., "Vocal sound pressure level and self-perception of speech and voice in men and women with idiopathic Parkinson disease" American Journal of Speech-Language Pathology, 6, pp. 85-94, 1997,
  44. De Rijk M. C., Tzourio C, Breteler M. M, Dartigues J. F, Amaducci L. Lopez-Pousa S., et al., "Prevalence of parkinsonism and Parkinson's disease in Europe: The EUROPARKINSON collaborative study. European community concerted action on the epidemiology of Parkinson's disease", Journal of Neurology, Neurosurgery and Psychiatry, Vol. 62, Issue 1, pp. 10-15, 1997,
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3.

Authors:

P. Dharmapandian, J. Joseph, J. Dharmaraja

Paper Title:

Synthesis, Characterization and Biological Studies of Metal Complexes Derived from 3–Hydroxyquinoxaline–2–Carboxaldehyde and 2–Aminobenzothiazole

Abstract: Novel metal complexes were synthesized by the condensation of 3–hydroxyquinoxaline–2–carboxaldehyde and 2–aminobenzothiazole. Using elemental analysis, IR, 1H–NMR, UV–Vis., molar conductance, magnetic moment and electrochemical studies, the ligands and its metal complexes were characterized. The magnetic moment and electronic spectral data evidenced that all the complexes exhibit square planar geometry. The metal complexes showed better antimicrobial screening than that of its free ligands. Using the cyclic voltammetry technique, the DNA binding behavior of complexes with CT DNA has been studied. The DNA binding constants revealed that intercalation binding mode for all metal complexes with DNA. Antibacterial screening of the ligand and its complexes reveal that all the complexes show higher activities than the ligand.

Keywords: 2–Aminobenzothiazole; Metal–Schiff base Complexes; Spectral; DNA binding; Antimicrobial; Antioxidant activities.

Abbreviations:
2ABT (L) = 2–Aminobenzothiazole;
AA = Ascorbic acid,
DPPH = 2, 2–Diphenyl–1–picrylhydrazyl,
CV = Cyclic voltammogram,
MIC = Minimum inhibitory concentration

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