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R eferences [1] G. Tong, Y. Liu, T. Wu, C. Tong, and F. Du, ““ H 2 O-steered size/phase evolution and magnetic properties of large-scale, monodisperse Fe x O y nanomaterials”, Journal of Materials Chemistry C , vol. 3, pp. 5506–5515, 2015. [2] B. Ahmed, S. Kumar, S. Kumar and A. K. Ojha, “Shape induced (spherical, sheets and rods) optical and magnetic properties of CdS nanostructures with enhanced photocatalytic activity for photodegradation of methylene blue dye under ultra-violet irradiation”, Journal of Alloys and Compounds , vol. 679, pp. 324–334, 2016. [3

References [1] BOOKSTEIN, F. L.: Morphometric Tools for Landmark Data-Geometry and Biology. Cambridge University Press, Cambridge, 1991. [2] BOOKSTEIN, F. L.: Creases as local features of deformation grids, Med. Image Anal. 4 (2000), 93-110. [3] DRYDEN, I. L.-MARDIA, K. V.: Statistical Shape Analysis. John Willey, New York, 1999. [4] KATINA, S.: Geometrical Aspects of Statistical Size and Shape Analysis: Multivariate Statistical Models and Statistical Inference. Habilitation Thesis, Comenius University, Bratislava, 2008. [5] R DEVELOPMENT CORE TEAM: R: A language

REFERENCES Bochenek, B., Tajs – Zielińska, K., 2008. Optimization of beams and columns using cellular automata , Czasopismo Techniczne. Mechanika, 5 (4-M), 19-30. Drazumeric, R., Kosel, F., 2012. Shape optimisation of beam due to lateral buckling problem , International Journal of Non-Linear Mechanics, 47, 65-74. Krużelecki, J., Barski, M., 2008. Optimization of stability of columns with clamped-clampedguided ends , Czasopismo Techniczne. Mechanika, 5 (4-M), 71-82. Michalewicz, Z., Fogel, D.B., 2006. Jak to rozwiązać, czyli nowoczesna heurystyka , Wydawnictwa

hase M.W., 1999: Support for an expanded family concept of Malvaceae within a recircumscribed order Malvales: A combined analysis of plastid atpB and rbcL DNA sequences. – Botanical Journal of the Linnean Society, 129: 267–303. C ervantes E., M artín J.J., A rdanuy R., de D iego J.G., T ocino Á., 2010: Modelling the Arabi- dopsis seed shape by a cardioid: efficacy of the adjustment with a scale change with factor equal to the Golden Ratio and analysis of seed shape in ethylene mutants. – Journal of Plant Physiology, 167(5): 408–410. C ervantes E., M

REFERENCES [1] Alaneme K. K., Okotete E. A., Reconciling viability and cost-effective shape memory alloy options — a review of copper and iron based shape memory metallic systems , ‘Engineering Science and Technology, an International Journal’, 2016, 19, pp. 1582–1592. [2] Ameendraraj S., Fatigue behaviour of copper zinc aluminum shape memory alloys , Master thesis, University of Manitoba, 1998. [3] Baz A., Ro J., Mutua M., Gilheany J., Active Buckling Control of Nitinol-Reinforced Composite Beams , ADPA/AIAA/ASME/SPIE Conference on Active Materials and

References Aimrun, W., Amin, M.S.M., Eltaib, S.M., 2004. Effective porosity of paddy soils as an estimation of its saturated hydraulic conductivity. Geoderma, 121, 197-203. Arasan, S., Akbulut, S., Hasiloglu, S. A., 2011. The relationship between the fractal dimension and shape properties of particles. Journal of Civil Engineering, 15, 7, 1219-1225. Bowman, E.T., Soga, K., Drummond, W., 2001. Particle shape characterisation using Fourier descriptor analysis. Geotechnique, 51, 6, 545-554. Brooks, R., Corey, A., 1964. Hydraulic properties of porous media. Hydrology

. (2012). Taxonomic affinity of halictid bee fossils (Hymenoptera: Anthophila) based on geometric morphometrics analyses of wing shape. Journal of Systematic Palaeontology, 10 (4), 755-764. DOI: 10.1080/14772019.2011.628701 Dolati, L., Nazemi Rafie, J., & Khalesro, H. (2013). Landmark-based morphometric study in the fore and hind wings of an Iranian race of European honeybee ( Apis mellifera meda ). Journal of Apicultural Science, 57 (2), 187-197. DOI: 10.2478/jas-2013-0028 Eardley, C., Roth, D., Clarke, J., Buchmann, S., Gemmill. B. (Eds). (2006). Pollinators and

REFERENCES 1. Humbeeck J. V. (2001): Shape Memory Alloys: A Material and a Technology. Advanced Engineering Materials, vol. 3, no. 11, pp. 837-850. 2. Duerig T. W., Melton K. N., Stöckel D.: Engineering Aspects of Shape Memory Alloys, Butterworth-Heinemann Publishing, London, 1990, pp. 3-20. 3. Borden T. (1991): Shape Memory Alloys Forming a Tight Fit, Mechanical Engineering, vol. 113, October, pp. 66-70. 4. M. C. Lugg, “Shape Memory Metal Fittings: Enhance the Reliability, maintainability and supportability of Aircraft Hydraulic Systems”, Aircraft Engineering

References [1] Al-Rousan T., Masad E., Tutumluer E., Pan T., Evaluation of image analysis techniques for quantifying aggregate shape characteristics. Construction and Building Materials, 2007, 978–990. [2] Bangaru R.S., Das A., Aggregate shape characterization in frequency domain. Construction and Building Materials, 2012, 554–560. [3] Gawenda T., Układ urządzeń do produkcji kruszyw foremnych , AGH w Krakowie, Zgłoszenie nr P. 408045 z dn. 2014-04-28, Biuletyn Urzędu Patentowego, 2015 nr 23. [4] Krishnamurthy Pandurangan, Kothandaraman S., Effect of Coarse

References 1. Suna L., Huang W. M., Ding Z., Zhao Y., Wang C. C., Purnawali H., Tang C.: Stimulus-responsive shape memory materials: A review, Mater. Des. 33 (2012) 577-640. 2. Hu J., Zhu Y., Huang H., Lu J.: Recent advances in shape-memory polymers: Structure, mechanism, functionality, modeling and applications, Prog. Polym. Sci. 37 (2012) 1720-1763. 3. Kumar U. N., Kratz K., Wagermaier W., Behla M., Lendlein A.: Non-contact actuation of triple-shape effect in multiphase polymer network nanocomposites in alternating magnetic field, J. Mater. Chem. 20 (2010) 3404