fluctuations. Chemical Engineering and Processing , 22 (1), 45-52.
 Lin, S., Kew, P.A. (2001). Pressure fluctuation and flow regimes of air-water flow in a small tube. Experimental Heat Transfer , 14 (2), 135-144.
 Xie, T., Ghiaasiaan, S.M., Karrilab, S. (2004). Artificial neural network approach for flow regime classification in gas-liquid-fiber flows based on frequency domain analysis of pressure signals. Chemical Engineering Science , 59 (11), 2241-2251.
 Ding, H., Huang, Z.Y., Song, Z.H., Yan, Y. (2007). Hilbert
Ewa Wilk, Małgorzata Krówczyńska and Piotr Pabjanek
Ross M, Langer, AM, Nord, GL, Nolan, RP, Lee, RJ, Van Orden, D & Addison J, 2007, ʻThe mineral nature of asbestosʼ, Regulatory Toxicology And Pharmacology , vol. 52 (1 Suppl), pp. 26–30.
StatSoft, Inc., 2011. STATISTICA (data analysis software system), version 10. www.statsoft.com
Thompson, S & Mason, E 2002, ʻAsbestos: Mineral and fibersʼ, Chemical Health And Safety , vol. 9, pp. 21–23.
Szabo, S, Burai, P, Kovacs, Z, Szabo, G, Kerenyi, A, Fazekas, I, Paladki, M, Buday, T & Szabo, G 2014, ‘Testing algorithms for the identification of asbestos
Conference and exhibition, November 17-20, Doha, Qatar. IEEE, 2013.
 Hatanaka Y, Muramatsu C, Sawada A, et al. Glaucoma Risk Assessment Based on Clinical Data and Automated Nerve Fiber Layer Defects Detection. 34th Annual International Conference of the IEEE EMBS San Diego, California USA, 28 August - 1 September, 2012.
 Osareh A, Shadgar B, Markha R. A Computational Intelligence Based Approach for Detection of Exudates in Diabetic Retinopathy Images. IEEE Transactions on Information Technology in Biomedicine, 2009;13(4):535-545.
 Youssef D
environment, Procedia engineering , 189, 45-50.
4. Dinardo G., Fabbiano L., Vacca G., Lay-Ekuakille A. (2018), Vibrational signal processing for characterization of fluid flows in pipes, Measurement , 113, 196-204.
5. Guozhen Y., Yongqian L., Zhi Y. (2016), A novel fiber Bragg grating acceleration sensor for measurement of vibration, Optik-International Journal for Light and Electron Optics , 127(20), 8874-8882.
6. Hobeck J. D., Inman D.J. (2015), Low-Cost Pressure Probe Sensor for Predicting Turbulence-Induced Vibration from Invasive Low
Cereal-based foods form the basis of human nutrition world-wide. Their main task is the supply of nutrition energy as they are rich in high polymer carbohydrates, mainly starch. Besides, cereals can and do contribute a significant amount of biologically active constituents that promote beneficial physiological effects like dietary fiber and their fractions, vitamins and polyphenols, to name only a few. There is a large variety of cereal species that has been and could be used for human nutrition, as well as starch-rich seeds that can be used
N. B. Terenina, N. B. Mochalova, I. M. Odoevskaya, N. D. Kreshchenko, M. K. S. Gustafsson and H-P. Fagerholm
structures was observed. From the two 5-HT-IR large cells, nerve fibers extend along both sides anteriorly to the head and posteriorly to the vulval area forming two intensively stained longitudinal nerve cords ( Fig. 1d ). Transversal commissures connect the longitudinal nerve cords ( Fig. 1e ). In the tip of the head of T. pseudospiralis , small 5-HT-IR structures were observed ( Fig. 1b ). In the head region the pattern of 5-HT-IR nerve cells and nerve cords is similar in both sexes.
The pattern of 5-HT-IR neurons and fibres in head region of I
Beaulieu J, Drolet G, Chanpagne D. Enkephalin innervation of the paraventricular nucleus of the hypothalamus: Distribution of fibers and origins of input. J Chem Neuroanat 10, 79–92, 1996.
Blake NG, Johnson MR, Eckland DJA, Foster OJF, Lightman SL. Effect of food deprivation and altered thyroid status on the hypothalamic-pituitary-thyroid axis in the rat. J Endocrinol 133, 183–188, 1992.
Ceccatelli S, Eriksson M, Hokfelt T. Distribution and coexistence of corticotropin-releasing factor-, neurotensin-, enkephalin-, cholecystokinin-, galanin- and vasoactive
Riry Prihatini, Farihul Ihsan and Ni Luh Putu Indriyani
E.M., Leitão J.M. 1999. Identification of mandarin hybrids by isozyme and RAPD analysis. Scientia Horticulturae 81(3): 287–299. DOI: 10.1016/S0304-4238(99)00013-8.
Gerrano A.S., Labuschagne M.T., van Biljon A., Shargie N.G. 2014. Genetic diversity assessment in sorghum accessions using qualitative morphological and amplified fragment length polymorphism markers. Scientia Agricola 71(5): 394–401. DOI: 10.1590/0103-9016-2013-0251.
Ghazi F., Benmechernene Z., Kihal M., Gurakan G.C. 2013. The reproducibility of random amplified polymorphic DNA (RAPD
): Eucalyptus applied genomics: from gene sequences to breeding tools. New Phytol. 179 : 911–929.
J ones , R. C., D. A. S teane , B. M. P otts and R. E. V aillancourt (2002): Microsatellite and morphological analysis of Eucalyptus globulus populations. Can. J. For. Res. 32 : 59–66.
K levytska , A. M., L. B. P rice , J. M. S chupp , P. L. W orsham , J. W ong and P. K eim (2001): Identification and characterization of variable-number tandem repeats in the Yersinia pestis genome. J. Clin. Microbiol. 39 : 3179–3185.
L incoln , S., M. D aly and E. L
Diseases of Eucalypts in South-East Asia. Australian Centre for International Agricultural Research (ACIAR), Canberra, Australia, Center for International Forestry Research (CIFOR), Bogor, Indonesia.
PEGG, G., B. BROWN and M. IVORY (2003): Eucalypt diseases in hardwood plantations in Queensland. Hardwoods Queensland Report No. 16. Forestry Research, Agency for Food and Fibre Sciences, DPI.
QI, S. (2002): Eucalyptus in China, 2nd edition. China Forestry Publishing House, Beijing. ROUX, J., T. A. COUTINHO, D. M. BYABASHAIJA and M. J