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Ewa Okoń-Horodyńska and Anna Zachorowska-Mazurkiewicz

Abstract

This paper deals with the attempt to search for the sources of creativity in the broad sense in solving problems. These creative solutions become innovations. The ability to develop innovation depends on the multi-dimensional predispositions to solve problems – those found in people, inspired by the market, organised or spontaneous, as well as facilitated or hampered by the state. Yet, the aforementioned factors should be supplemented with one more – gender. In the chapter attention is paid to the multi-dimensional differences stemming from gender, which should be perceived as a positive element, because they are the source of synergy resulting from collaboration among research or business teams in the process of innovation. The chapter introduces the concept of ‘innovative gender’ and its institutional framework. The methodological inspiration is the model known in the literature as the Innovation Genome, the conceptualization of which constitutes a major part of the study.

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Salam Al-Augby, Sebastian Majewski, Agnieszka Majewska and Kesra Nermend

. (2009). Discovering Statistics Using SPSS. New Delhi: Sage Publications. Fridson, M.S. (2011). Financial Statement Analysis. A Practitioner’s Guide. New Jersey: John Wiley & Sons. Gasch, A.P., & Eisen, M.B. (2002). Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering. Genome Biology , 3, 1–22. Ghosh, J. & Liu, A. (2009). K-Means. In: W. Xindong, V. Kumar, The top ten algoritms in Data Mining (pp. 21–36). Boca Raton, Florida: Taylor & Francis Group. Gorsevski, P.V., Gessler, P.E. & Jankowski, P

Open access

Beata Płonka

References 1. Akbarian, S., Halene, T. The neuroepigenetics of suicide. The American Journal of Psychiatry 170(5), 2013, pp. 462-465. 2. Aksoy-Aksel, A., Zampa, F., Schratt, G. MicroRNAs and synaptic plasticity--a mutual relationship. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 369(1652), 2014. 3. Alexander, R. P., Fang, G., Rozowsky, J., Snyder, M., Gerstein, M. B. Annotating non-coding regions of the genome. Nature Reviews. Genetics 11(8), 2010, pp. 559

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Margaret Boone Rappaport and Christopher Corbally

., Volker, U. Profico, A., Di Vincenzo, F., Manzi, G., Kelso, J., St. Pourcain, B., Hublin, J.-J., Franke, B., Pääbo, S., Macciardi, F., Grabe, H. J, Fisher, S. Neandertal Introgression Sheds Light on Modern Human Endocranial Globularity, Current Biology 29, 2019, pp. 120–127. 20. Hare, B., Wobber, V., Wrangham, R. The Self-Domestication Hypothesis: Evolution of Bonobo Psychology Is Due to Selection against Aggression, Animal Behaviour 83, 2012, pp. 573–85. 21. Harris, E. E. Ancestors in Our Genome: The New Science of Human Evolution , Oxford University

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Katarzyna Lisek

, P. (1997). Collective Intelligence: Mankind’s Emerging World in Cyberspace? . Plenum Trade. 22. Malone, T.W., Laubacher, R., Dellarocas, C. (2009) Harnessing crowds: Mapping the genome of collective intelligence . Massachusetts Institute of Technology, Working Paper No. 2009–001, 1–0. 23. McGonigal, J. (2011). Reality is Broken: Why Games Make Us Better and How They Can Change the World . Jonathan Cape. 24. Nielsen, M. (2011). Reinventing discovery: the new era of networked science. , Princeton University Press, 13–89. 25. Rallapalli, G

Open access

Patrik Vida

Change. 14. Fári, M.G. & Kralovánszky, U.P., (2006). “The founding father of biotechnology: Károly (Karl) Ereky”. International Journal of Horticultural Science, Vol.12 No.1, pp.9–12. 15. Farrell, D., (2005). “Offshoring: Value creation through economic change”. Journal of Management Studies, Vol.42 No.3, pp.675–683. 16. Gerstein, M.B. et al., (2007). “What is a gene, post-ENCODE? History and updated definition.”. Genome research, Vol.17 No.6, pp.669–81. 17. Glick, J.L., (2008). “Biotechnology business models work: Evidence from the

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Tolga Karaköy, Ahmet Demirbaş, Faruk Toklu, Nevcihan Gürsoy, Eylem Tugay Karagöl, Damla Uncuer and Hakan Özkan

Abstract

Faba bean (Vicia faba L.) is one of the most important legume crop and cultivated nearly all parts of the world. Present study was aimed to investigate the variation in the micro and macronutrients concentration in the Turkish faba bean germplasm. A total of 200 landraces and 3 commercial cultivars were collected from the different geographical regions of Turkey. Study was conducted at the research and experimental area of Department of Crop and Animal Production, Vocational School of Sivas, University of Cumhuriyet, Sivas, Turkey in 2016. Result of this study reflected higher level of diversity for studies nutrients; (N) (5.21-8.15 %), phosphorus (P) (0.1-0.98 %), potassium (K) (0.94-5.6 %), magnesium (mg) (0.32-0.42), calcium (Ca) (0.50-1.50), copper (Cu) (8.13-34.23 mg kg-1), zinc (Zn) (28.42-64.33 mg kg-1), iron (Fe) (44.86-128.53 mg kg-1), and manganese (Mn) (16.56-35.76 mg kg-1). Average concentrations of micro and macronutrients were found higher in the landraces as compared to the commercial cultivars. Principal component analysis grouped the studied germplasm into two groups on the basis of their Zn concentrations. Results from this study expressed the presence of high range of diversity in the Turkish faba bean germplasm for micro and macronutrient elements. Findings of this study will serves as starting point for the development of improved faba bean varieties through conventional and modern breeding technologies and these variations will be helpful for the identification of linked markers through the genome wide association studies and identifying diverse parents for quantitative trait locus (QTL) mapping.

Open access

Velimir Mladenov, Borislav Banjac, Miodrag Dimitrijević, Dragana Latković and Bojan Jocković

, PFEIFER M: Analysis of bread wheat genome using whole genome shotgun sequencing. Nature. 491:705-710, 2012. CROSSA J, GAUCH HG AND ZOBEL RW: Additive main effect and multiplicative interaction analysis of two international maize cultivar trials. Crop Sci 30: 493–500, 1990. FARSHADFAR E, MAHMODI N, YAGHOTIPOOR A: AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat ( Triticumaestivum L). Australian Journal of Crop Science5(13):1837-1844, 2011. GAUCH HG: Model selection and validation for yield trials with

Open access

Metka Šiško

References 1. Cervera MT, Cabezas JA, Sancha JC, Martinez de Toda F, Martinez-Zapater JM. Application of AFLPs to the characterisation of grapevine Vitis vinifera L. genetic resources. A case study with accessions from Rioja (Spain). Theor. Appl. Genet. 1998; 97:51-59. 2. Clarke JB, Sargent DJ, Bošković RI, Belaj A, Tobutt KR. A cherry map from the interspecific cross Prunus avium “Napoleon” × P. nipponica based on microsatellite, genespecific and isoenzyme markers. Tree Genet. Genomes. 2009;5:41-51. 3. Clarke

Open access

Cristin Coman, Carmen Cristina Surdu-Bob, Florica Barbuceanu, Ene Vlase and Marius Badulescu

(3):414-421. Surdu-Bob C.C., Coman C., Barbuceanu F., Turcu D., Bercaru N., Badulescu M., 2016. The influence of foreign body surface area on the outcome of chronic osteomyelitis. Medical Engineering and Physics, 38: 870-876. Warnes S.L., Keevil C.W., 2016. Lack of involvement of Fenton chemistry in death of methicillin-resistant and methicillin-sensitive strains of Staphylococcus aureus and destruction of their genomes on wet or dry copper alloy. Appl Environ Microbiol 82:2132-2136.