A novel approach of multimedia instruction applications in engineering education

Effective use of educational technology depends on knowledge of why and how to utilize technology to solve teaching and learning problems. The present study first conducts a systematic literature review of the limited studies undertaken on multimedia instruction applications for engineering education to critique the current status of knowledge in this area. The conventional qualitative content analysis method was employed for data analysis. The results highlighted the incompatibility of three basic educational elements i.e. engineering curriculum, educational resources and engineering students’ learning characteristics all of which posed major challenges in teaching and learning engineering courses. Multimedia instruction enhances engineering students’ understanding of engineering concepts, procedures, problems and solutions through direct visualization. Furthermore, it could indirectly assist students in achieving higher order learning levels and skills through enhancing or supporting educational resources and increasing students’ motivation. Mobile multimedia instruction and a student-generated multimedia learning approach to improve engineering education are suggested for future research. © 2005-2016 JATIT & LLS. All rights reserve

Nodal quasiparticle meltdown in ultra-high resolution pump-probe angle-resolved photoemission

High-$T_c$ cuprate superconductors are characterized by a strong momentum-dependent anisotropy between the low energy excitations along the Brillouin zone diagonal (nodal direction) and those along the Brillouin zone face (antinodal direction). Most obvious is the d-wave superconducting gap, with the largest magnitude found in the antinodal direction and no gap in the nodal direction. Additionally, while antinodal quasiparticle excitations appear only below $T_c$, superconductivity is thought to be indifferent to nodal excitations as they are regarded robust and insensitive to $T_c$. Here we reveal an unexpected tie between nodal quasiparticles and superconductivity using high resolution time- and angle-resolved photoemission on optimally doped Bi$_2$Sr$_2$CaCu$_2$O$_{8+\delta}$. We observe a suppression of the nodal quasiparticle spectral weight following pump laser excitation and measure its recovery dynamics. This suppression is dramatically enhanced in the superconducting state. These results reduce the nodal-antinodal dichotomy and challenge the conventional view of nodal excitation neutrality in superconductivity.Comment: 7 pages, 3 figure. To be published in Nature Physic

ARPES: A probe of electronic correlations

Angle-resolved photoemission spectroscopy (ARPES) is one of the most direct methods of studying the electronic structure of solids. By measuring the kinetic energy and angular distribution of the electrons photoemitted from a sample illuminated with sufficiently high-energy radiation, one can gain information on both the energy and momentum of the electrons propagating inside a material. This is of vital importance in elucidating the connection between electronic, magnetic, and chemical structure of solids, in particular for those complex systems which cannot be appropriately described within the independent-particle picture. Among the various classes of complex systems, of great interest are the transition metal oxides, which have been at the center stage in condensed matter physics for the last four decades. Following a general introduction to the topic, we will lay the theoretical basis needed to understand the pivotal role of ARPES in the study of such systems. After a brief overview on the state-of-the-art capabilities of the technique, we will review some of the most interesting and relevant case studies of the novel physics revealed by ARPES in 3d-, 4d- and 5d-based oxides.Comment: Chapter to appear in "Strongly Correlated Systems: Experimental Techniques", edited by A. Avella and F. Mancini, Springer Series in Solid-State Sciences (2013). A high-resolution version can be found at: http://www.phas.ubc.ca/~quantmat/ARPES/PUBLICATIONS/Reviews/ARPES_Springer.pdf. arXiv admin note: text overlap with arXiv:cond-mat/0307085, arXiv:cond-mat/020850

The Evolution of Compact Binary Star Systems

We review the formation and evolution of compact binary stars consisting of white dwarfs (WDs), neutron stars (NSs), and black holes (BHs). Binary NSs and BHs are thought to be the primary astrophysical sources of gravitational waves (GWs) within the frequency band of ground-based detectors, while compact binaries of WDs are important sources of GWs at lower frequencies to be covered by space interferometers (LISA). Major uncertainties in the current understanding of properties of NSs and BHs most relevant to the GW studies are discussed, including the treatment of the natal kicks which compact stellar remnants acquire during the core collapse of massive stars and the common envelope phase of binary evolution. We discuss the coalescence rates of binary NSs and BHs and prospects for their detections, the formation and evolution of binary WDs and their observational manifestations. Special attention is given to AM CVn-stars -- compact binaries in which the Roche lobe is filled by another WD or a low-mass partially degenerate helium-star, as these stars are thought to be the best LISA verification binary GW sources.Comment: 105 pages, 18 figure

Metabolomic Profiling Reveals Mitochondrial-Derived Lipid Biomarkers That Drive Obesity-Associated Inflammation

Obesity has reached epidemic proportions worldwide. Several animal models of obesity exist, but studies are lacking that compare traditional lard-based high fat diets (HFD) to “Cafeteria diets" (CAF) consisting of nutrient poor human junk food. Our previous work demonstrated the rapid and severe obesogenic and inflammatory consequences of CAF compared to HFD including rapid weight gain, markers of Metabolic Syndrome, multi-tissue lipid accumulation, and dramatic inflammation. To identify potential mediators of CAF-induced obesity and Metabolic Syndrome, we used metabolomic analysis to profile serum, muscle, and white adipose from rats fed CAF, HFD, or standard control diets. Principle component analysis identified elevations in clusters of fatty acids and acylcarnitines. These increases in metabolites were associated with systemic mitochondrial dysfunction that paralleled weight gain, physiologic measures of Metabolic Syndrome, and tissue inflammation in CAF-fed rats. Spearman pairwise correlations between metabolites, physiologic, and histologic findings revealed strong correlations between elevated markers of inflammation in CAF-fed animals, measured as crown like structures in adipose, and specifically the pro-inflammatory saturated fatty acids and oxidation intermediates laurate and lauroyl carnitine. Treatment of bone marrow-derived macrophages with lauroyl carnitine polarized macrophages towards the M1 pro-inflammatory phenotype through downregulation of AMPK and secretion of pro-inflammatory cytokines. Results presented herein demonstrate that compared to a traditional HFD model, the CAF diet provides a robust model for diet-induced human obesity, which models Metabolic Syndrome-related mitochondrial dysfunction in serum, muscle, and adipose, along with pro-inflammatory metabolite alterations. These data also suggest that modifying the availability or metabolism of saturated fatty acids may limit the inflammation associated with obesity leading to Metabolic Syndrome

Weight changes and lifestyle behaviors in women after breast cancer diagnosis: a cross-sectional study

Background: Weight gain rather than weight loss often occurs after breast cancer diagnosis despite breast cancer survivors frequently reported making healthful lifestyle changes. This study describes the prevalence and magnitude of changes in weight before and after breast cancer diagnosis and examines lifestyle behaviors of breast cancer survivors with stable weight, weight gain or weight loss. Methods. Respondents were 368 women with breast cancer characterized by stages I, II and III. All were recruited from hospitals or breast cancer support groups and had completed conventional treatment. Current weight and height were measured while weight at cancer diagnosis and 1 year before diagnosis were self-reported. Weight change was calculated as the difference between current weight and weight a year preceding breast cancer diagnosis. A 24-hour diet recall and Global Physical Activity Questionnaire assessed dietary intake and physical activity, respectively. Differences in lifestyle behaviors among weight change groups were examined using Analysis of Covariance (ANCOVA). Results: Mean weight change from a year preceding diagnosis to study entry was 2.73 kg (95% CI: 1.90-3.55). Most women (63.3%) experienced weight gain rather than weight loss (36.7%) with a higher percentage (47.8%) having at least 5% weight gain (47.8%) rather than weight loss (22%), respectively. Compared to other weight change groups, women in >10% weight gain group had the lowest fruit and vegetable servings (1.58 servings/day; 95% CI: 1.36-1.82) and highest servings of dairy products (0.41 servings/day; 95% CI: 0.30-0.52). Conclusions: Weight gain was evident in this sample of women after breast cancer diagnosis. Information on magnitude of weight change after breast cancer diagnosis and lifestyle behaviors of breast cancer survivors with varying degrees of weight change could facilitate the development and targeting of effective intervention strategies to achieve healthy weight and optimal health for better survival

Rowing against the wind: how do times of austerity shape academic entrepreneurship in unfriendly environments?

[EN] Academic spin-offs (ASOs) help universities transfer knowledge or technology through business projects developed by academic staff. This investigation aims at analyzing the critical factors for spin-off creation at universities operating in crisis-raven, entrepreneurship-unfriendly environments. Such factors revolve around four types of resources: environmental, institutional, organizational, and personal. Focusing on a Southern European context, as an example of an unfriendly environment affected by economic crisis, an entrepreneurial university (the Technical University of Valencia in Spain, UPV) is our research setting. Through a case study approach, we examine the potential of UPV as a springboard for ASOs. Our results show an adverse local environment, a rather favorable influence of institutional and organizational drivers, and a mixed role of personal factors. Our findings illustrate that UPV consistently supports spin-off creation due to a greater (rather positive) reflexivity from its institutional, organizational and personal resources than the (negative) imprinting of the unfriendly environment. This helps counter-balance the structural unfriendliness for academic entrepreneurship, and trigger a crisis-led risk-taking attitude by academic staff. Hence, UPV should continue with its current strategy of supporting academic entrepreneurship, and might transfer best practices to other universities also affected by unfavorable environmental conditions. Generally speaking, we would advise universities facing adverse circumstances to develop rules and mechanisms for academic entrepreneurship, carefully revise and improve malfunctions, and become involved throughout the whole process of spin-off development. All in all, our study advances understanding of how the different drivers for ASO creation can be revamped by universities located in unfriendly environments, having in mind the key role that universities play in fostering social and economic development through academic entrepreneurship in such environments.The authors would like to thank the Universitat Politecnica de Valencia (grant PAID-06-12-0916), and the Spanish Ministry of Economy and Competitiveness (grant ECO2011-29863), for their financial support for this research.Seguí-Mas, E.; Oltra, V.; Tormo-Carbó, G.; Sarrión Viñes, F. (2017). Rowing against the wind: how do times of austerity shape academic entrepreneurship in unfriendly environments?. International Entrepreneurship and Management Journal. 1-42. doi:10.1007/s11365-017-0478-zS142Acs, Z. J., Audretsch, D. B., & Lehmann, E. E. (2013). The knowledge spillover theory of entrepreneurship. Small Business Economics, 41, 757–774.Alemany, L. (2011). Libro blanco de la iniciativa emprendedora en España. Resource document. ISEAD. http://idl.isead.edu.es:8080/jspui/bitstream/123456789/859/1/658ALElib.pdf . Accessed 31 October 2015.Algieri, B., Aquino, A., & Succurro, M. (2013). Technology transfer offices and academic spin-off creation: the case of Italy. Journal of Technology Transfer, 38(4), 382–400.ARWU (2017). Academic Ranking of World Universities 2017. Resource document. http://www.shanghairanking.com/ARWU2017.html . Accesed 15 August 2017.Ashcroft, B., Holden, D., & Low, K. (2004). Potential entrepreneurs and the self employment choice decision. In Strathclyde Discussion papers in Economics, 4–16. Glasglow: University of Strathclyde.Autio, E., & Kauranen, I. (1994). Technologist-entrepreneurs versus nonentrepreneurial technologists: Analysis of motivational triggering factors. Entrepreneurship & Regional Development, 6, 315–328.Autio, E., Kenney, M., Mustar, P., Siegel, D., & Wright, M. (2014). Entrepreneurial innovation: The importance of context. Research Policy, 43, 1097–1108.Bonnacorsi, A., Colombo, M. G., Guerini, M., & Rossi-Lamastra, C. (2013). University specialization and new firm creation across industries. Small Business Economics, 41, 837–863.Bruneel, J., Van de Velde, E., & Clarysse, B. (2013). Impact of the type of corporate spin-off on growth. Entrepreneurship Theory and Practice, 37, 943–959.CampusHabitat5U (2017). International Campus of Excellence. Resource document. UPV. http://campushabitat5u.es/?lang=en . Accessed 5 October 2017.Chiesa, V., & Piccaluga, A. (2000). Exploitation and diffusion of public research: The chase of academic spin-offs companies in Italy. R&D Management, 30, 329–339.Clark, B. R. (1998). Creating entrepreneurial universities: Organizational pathways of transformation. New York: IAU Press.Clarysse, B., & Moray, N. (2004). A process study of entrepreneurial team formation: The case of research-based spin-off. Journal of Business Venturing, 19, 55–79.Cohen, M., Nelson, R., & Walsh, J. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science, 48, 1–23.Creswell, J.W. & Clark, V. (2011). Designing and Conducting Mixed Methods Research. SAGE Publications.De Cleyn, S. H., Braet, J., & Klofsten, M. (2015). How human capital interacts with the early development of academic spin-offs. International Entrepreneurship and Management Journal, 11(3), 599–621.Doutriaux, J., & Peterman, D. (1982). Technology transfer and academic entrepreneurship. Babson Park: Frontiers of Entrepreneurship Research, Babson College Entrepreneurship Research Conference (BCERC).Eisenhardt, K. M. (1989). Building Theories from Case Study Research. Academy of Management Review, 14(4), 532–550.European Commission (2017). Erasmus 2013–14. Top 500 higher education institutions receiving Erasmus students. Resource document. EC. http://ec.europa.eu/dgs/education_culture/repository/education/library/statistics/2014/erasmus-receiving-institutions_en.pdf Accessed 5 October 2017.Eurovoc (2017). Mutilingual Thesaurus of the European Union. Resource document. http://eurovoc.europa.eu Accessed 03 February 2017.Franzoni, C. & Lissoni, F. (2006). Academic entrepreneurship, patents and spinoffs: Critical issues and lessons for Europe. CESPRI, Università Commerciale “Luigi Bocconi”. Working Paper No. 80.Fritsch, M., & Aamoucke, R. (2013). Regional public research, higher education, and innovative start-ups: An empirical investigation. Small Business Economics, 41, 865–885.Gartner, W. B. (1985). A conceptual framework for describing the phenomenon of new venture creation. The Academy of Management Review, 10, 696–706.Gartner, W. B. (1988). Who is an entrepreneur? is the wrong question. American Journal of Small Business, 12, 11–32.Geuna, A., & Nesta, L. J. J. (2006). University Patenting and its Effects on Academic Research: The merging European Evidence. Research Policy, 35, 790–807.Gibbert, M., & Ruigrok, W. (2010). The “What” and “How” of the case Study Rigor: Three Strategies based on Published Work. Organizational Research Methods, 13(4), 710–737.Gómez Gras, J. M., Galiana Lapera, D. R., Mira Solves, I., Verdú Jover, A. J., & Sancho Azuar, J. (2008). An empirical approach to the organisational determinants of spin-off creation in European universities. International Entrepreneurship and Management Journal, 4(2), 187–198.Grandi, A., & Grimaldi, R. (2005). Academics' organizational characteristics and the generation of successful business ideas. Journal of Business Venturing, 20(6), 821–845.Güemes, J.J. (2011), “Global Entrepreneurship Monitor. Informe GEM España 2010”. Resource document. GEM España. http://www.gemconsortium.org/docs/download/616. Accessed 15 January 2015 .Guerrero, M., & Urbano, D. (2012). The development of an entrepreneurial university. Journal of Technology Transfer, 37(1), 43–74.Guerrero, M., Urbano, D., Cunningham, J., & Organ, D. (2014). Entrepreneurial universities in two European regions: a case study comparison. Journal of Technology Transfer, 39(3), 415–434.Hoang, H., & Antoncic, B. (2003). Network-based research in entrepreneurship: A critical review. Journal of Business Venturing, 18(2), 165–187.Hofstede, G. (1980). Culture’s Consequences. International differences in work-related values. Beverly Hills: Sage.Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviours, institutions, and organizations across nations (2nd ed.). Thousand Oaks: Sage.Hülsbeck, M., & Pickavé, E. N. (2014). Regional knowledge production as determinant of high-technology entrepreneurship: Empirical evidence for Germany. International Entrepreneurship and Management Journal, 10, 121–138.INE (2016). INEbase: Operaciones estadísticas. Instituto Nacional de Estadística (National [Spanish] Statistical Institute). Resource document. INE. http://www.ine.es/inebmenu/indice.htm . Accessed 2 July 2016.Kalar, B., & Antoncic, B. (2015). The entrepreneurial university, academic activities and technology and knowledge transfer in four European countries. Technovation, 36-37, 1–11.Kroll, H. (2009). Demonstrating the instrumentality of motivation oriented approaches for the explanation of academic spin-off formation—an application based on the Chinese case. International Entrepreneurship and Management Journal, 5, 97–116.LAEI (2013). Ley 14/2013, de 27 de septiembre, de Apoyo a Emprendedores y su Internacionalización (‘Act of Support to Entrepreneurs and their Internationalization’). Government of Spain, 27 September. Resource document: http://www.boe.es/boe/dias/2013/09/28/pdfs/BOE-A-2013-10074.pdf . Accessed 10 March 2016.Lam, A., & De Campos, A. (2015). Content to be sad’ or ‘runaway apprentice’? The psychological contract and career agency of young scientists in the entrepreneurial university. Human Relations, 68(5), 811–841.LCTI (2011). Ley 14/2011, de 1 de junio, de la Ciencia, la Tecnología y la Innovación (‘Science, Technology and Innovation Act’). Government of Spain, 1 June. Resource document: http://www.boe.es/boe/dias/2011/06/02/pdfs/BOE-A-2011-9617.pdf . Accessed 10 March 2016.León-Darder, F. (2016). La internacionalització de l’empresa valenciana. In E. Seguí-Mas (Ed.), Una nova via per a l’empresa valenciana (pp. 61–80). Catarroja: Editorial Afers & Fundació Nexe.LES (2011). Ley 2/2011, de 4 de marzo, de Economía Sostenible (‘Sustainable Economy Act’). Government of Spain, 4 March, Resource document. http://www.boe.es/boe/dias/2011/03/05/pdfs/BOE-A-2011-4117.pdf. Accessed 10 March 2016 .Leyden, D. P., & Link, A. N. (2013). Knowledge spillovers, collective entrepreneurship, and economic growth: The role of universities. Small Business Economics, 41, 797–817.Lindelöf, P., & Löfsten, H. (2006). Environmental hostility and firm behavior – An empirical examination of new technology-based firms on science parks. Journal of Small Business Management, 44(3), 386–406.Link, N., & Scott, T. (2005). Opening the ivory’s tower door: An analysis of the determinants of the formation of US university spin-off companies. Research Policy, 34, 1106–1112.Lockett, A., & Wright, M. (2005). Resources, capabilities, risk capital and the creation of university spin-out companies. Research Policy, 34, 1043–1057.LOMLOU (2007). Ley Orgánica 4/2007, de 12 de abril, por la que se modifica la Ley Orgánica 6/2011, de 21 de diciembre, de Universidades (‘Act of Modification of the University Act’). Government of Spain, 12 April. Resource document. https://www.boe.es/boe/dias/2007/04/13/pdfs/A16241-16260.pdf (accessed 11 March 2016).LOU (2001). Ley Orgánica 6/2001, de Universidades (‘University Act’). Government of Spain, 21 December. Resource document: https://www.boe.es/boe/dias/2001/12/24/pdfs/A49400-49425.pdf . Accessed 11 March 2016.Martinelli, A., Meyer, M., & Von Tunzelmann, N. (2008). Becoming an entrepreneurial university? A case study of knowledge exchange relationships and faculty attitudes in a medium-sized, research-oriented university. Journal of Technology Transfer, 33, 259–283.Martínez Carrascal, C. & Mulino Ríos, M. (2014). La evolución del crédito bancario a las empresas españolas según su tamaño. Un análisis basado en la explotación conjunta de la información de la CIR y de la CBI, Boletín Económico - Banco de España, Enero (January), pp. 117–125.Mathias, B. D., Williams, D. W., & Smith, A. R. (2015). Entrepreneurial inception: The role of imprinting in entrepreneurial action. Journal of Business Venturing, 30(1), 11–28.MIET (Spanish Ministry of Industry, Energy and Tourism) (2012). Estadísticas Pyme. Evolución e indicadores. No. 10″, Resource document. http://www.ipyme.org/Publicaciones/ESTADISTICAS_PYME_N10_2011.pdf. Accessed 2 May 2016 .Miles, M.B. & Huberman, A.M. (2008). Qualitative Data Analysis: an expanded sourcebook. Sage Publications.Morales-Gualdrón, S. Y., Gutiérrez-Gracias, & Roig Dobón, S. (2009). The entrepreneurial motivation in academia: A multidimensional construct. International Entrepreneurship and Management Journal, 6, 301–317.Mosey, S., & Wright, M. (2007). From human capital to social capital: A longitudinal study of technology-based academic entrepreneurs. Entrepreneur, 31, 909–936.Mosey, S., Lockett, A., & Westhead, P. (2006). Creating network bridges for university technology transfer: The Medici fellowship programme. Technology Analysis and Strategic Management, 18, 71–91.Mosey, S., Wright, M., & Clarysse, B. (2012a). Transforming traditional university structures for the knowledge economy through multidisciplinary institutes. Cambridge Journal of Economics, 36, 587–607.Mosey, S., Noke, H., & Binks, M. (2012b). The influence of human and social capital upon the entrepreneurial intentions and destinations of academics. Technology Analysis and Strategic Management, 24, 893–910.Moutinho, R., Au-Yong-Oliveira, M., Coelho, A., & Manso, J. P. (2016). Determinants of knowledge-based entrepreneurship: an exploratory approach. International Entrepreneurship and Management Journal, 12(1), 171–197.Mowery, D. C., Nelson, R. R., Sampat, B. N., & Ziedonis, A. A. (2001a). The growth of patenting and licensing by US universities: an assessment of the effects of Bayle-Dole Act of 1980. Research Policy, 30(1), 99–119.Mowery, D. C., Sampat, B. N., & Ziedonis, A. A. (2001b). Learning to patent: institutional experience, learning, and the characyeristics of US university Patents after the Bayle-Dole Act, 1981-1992. Management Science, 48(1), 73–89.O’Shea, R., Allen, J., Chevalier, A., & Roche, F. (2005). Entrepreneurial orientation, technology transfer and spinoff performance of US universities. Research Policy, 34, 994–1009.O’Shea, R., Allen, T., Morse, K., O’Gorman, C., & Roche, F. (2007). Delineating the anatomy of an entrepreneurial university: the Massachusetts Institute of Technology Experience. R&D Management, 37(1), 1–16.O’Shea, R., Chugh, H., & Allen, T. (2008). Determinants and consequences of university spinoff activity: A conceptual framework. Journal of Technology Transfer, 33, 653–666.Ortín, P., Salas, V., Trujillo, M.V., & Vendrell, F. (2007). El spin-off universitario en España como modelo de creación de empresas intensivas en tecnología. Ministerio de Industria, Turismo y Comercio. Secretaría General de Industria. Dirección General de Política de la Pyme. Resource document. http://www.ipyme.org/Publicaciones/Informe spinnoff.pdf . Accessed 2 October 2016.Papaoikonomou, E., Segarra, P., & Li, X. (2012). Entrepreneurship in the context of crisis: Identifying barriers and proposing strategies. International Advances in Economic Research, 18, 111–119.Piperopoulos, P., & Piperopoulos, G. (2010). Is Greece finally on the right path toward entrepreneurship, innovation, and business clusters? International Journal of Public Administration, 33(1), 55–59.Powers, B., & McDougall, P. (2005). University startup formation and technology licensing with firms that go public: A resource-based view of academic entrepreneurship. Journal of Business Venturing, 20, 291–311.Red OTRI (2016). Informe de la Encuesta de Investigación y Transferencia 2014 de las universidades españolas. Resource document. http://www.redotriuniversidades.net/index.php/informa-encuesta/6-encuesta-redotri/informa-encuesta-2014/download . Accessed 22 June 2016.Redero San-Román, M. (2002). Origen y desarrollo de la universidad franquista. Studia Zamorensia, 6, 337–352.Rodríguez-Gulías, M. J., Rodeiro-Pazos, D., & Fernández-López, S. (2017). The effect of university and regional knowledge spillovers on firms’ performance: an analysis of the Spanish USOs. International Entrepreneurship and Management Journal, 13(1), 191–209.Rodríguez-San Pedro, L.E. (2014). Las universidades españolas en su contexto historic. Resource document. Universia. http://universidades.universia.es/universidades-de-pais/historia-de-universidades/historia-universidad-espanola/pasado-reciente/pasado-reciente-multiplicidad-regimen-autonomico.html . Accessed 28 July 2015.Samsom, K., & Gurdon, M. (1990). Entrepreneurial scientist: Organizational performance in scientist-started high technology firms. Forest Park: Frontiers of Entrepreneurship Research, Babson College Entrepreneurship Research Conference (BCERC).Schmitz, A., Urbano, D., Dandolini, G. A., de Souza, J. A., & Guerrero, M. (2017). Innovation and entrepreneurship in the academic setting: A systematic literature review. International Entrepreneurship and Management Journal, 13(2), 369–395.Shane, S., & Khurana, R. (2003). Bringing individuals back in: The effects of career experience on new firm founding. Industrial and Corporate Change, 12, 519–543.Shapero, A., & Sokol, L. (1982). The social dimensions of entrepreneurship. In C. A. Kent, D. L. Sexton, & K. H. Vesper (Eds.), Encyclopaedia of entrepreneurship (pp. 72–90). Englewood Cliffs: Prentice Hall.Smilor, R. W., Gibson, D. V., & Dietrich, G. B. (1990). University spin-out companies: technology start-ups from UT-Austin. Journal of Business Venturing, 5(1), 63–76.Soler i Marco, V. (2009). Creixement i canvi estructural. In V. Soler (Ed.), Economia espanyola i del País Valencià. Valencia: Publicacions de la Universitat de València.Suddaby, R., Bruton, G. D., & Si, S. X. (2015). Entrepreneurship through a qualitative lens: Insights on the construction and/or discovery of entrepreneurial opportunity. Journal of Business Venturing, 30(1), 1–10.Tech Transfer UPV FCR (2016). Air Nostrum, Caixa Popular e IVI entran en el fondo de la UPV. Resource document. TTUPV FCR. http://www.techtransferupv.com/noticias/air-nostrum-caixa-popular-e-ivi-entran-en-el-fondo-de-la-upv/ (4 April) Accessed 10 July 2016.The Times Higher Education (2017). 100 Under 50 Ranking 2017. Resource document. THE. https://www.timeshighereducation.com/world-university-rankings/2017/young-university-rankings#!/page/0/length/-1/sort_by/rank/sort_order/asc/cols/stats . Accessed 15 august 2017.UPV (2007). Instituto IDEAS 15 aniversario (1992–2007). Resource document. UPV. http://www.upv.es/entidades/IDEAS/menu_urlv.html?http://www.upv.es/entidades/IDEAS/info/memoria15a%F1os.pdf . Accessed 10 April 2016.UPV (2011). Corporación empresarial. Resource document. UPV. http://www.upv.es/noticias-upv/noticia-4904-corporacion-emp-es.html . Accessed 10 April 2016.UPV (2014). Plan de emprendimiento global. Resource document. UPV. https://www.upv.es/noticias-upv/noticia-6846-plan-de-emprend-es.html . Accessed 10 April 2016.UPV (2015). Jornadas de Puertas Abiertas 2015–16. Resource document. UPV. www.upv.es/contenidos/ORIENTA/info/jpa_ciclos_2015-16.ppt . Accessed 10 April 2016.UPV (2017a). Spin-Off UPV. Resource document. UPV. http://www.upv.es/entidades/I2T/info/891434normalc.html . Accessed 5 October 2017.UPV (2017b). Ciudad Politécnica de la Innovación. Parque Científico en Red de la Universidad Politécnica de Valencia. Quienes Somos. Presentación. Resource document. UPV. http://cpi.upv.es/quienes-somos/presentacion . Accessed 5 October 2017.UPV (2017c). Servicio de Promoción y Apoyo a la Investigación, la Innovación y la Transferencia. Presentación. Resource document. UPV. http://i2t.webs.upv.es/i2t/presentacion.php. Accessed 5 October 2017 .UPV. (2017d). Tech Transfer UPV. UPV: Resource document http://www.upv.es/noticias-upv/noticia-8355-tech-transfer-u-es.html. Accessed 5 October 2017 .UPV (2017e). Mission statement, vision and values. Resource document. UPV. https://www.upv.es/organizacion/la-institucion/misionvisionvalores-plan-upv-en.html Accessed 17 October 2017.Vargas Vasserot, C. (2012). Las spin-offs académicas y su posible configuración como empresas de economía social. REVESCO. Revista de Estudios Cooperativos, 107, 186–205.VLC/Campus (2017). VLC/Campus. Valencia, International Campus of Excellence. Resource document. UPV. http://www.vlc-campus.com/en . Accessed 5 October 2017.Walter, A., Auer, M., & Ritter, T. (2006). The impact of network capabilities and entrepreneurial orientation on university spin-off performance. Journal of Business Venturing, 21(4), 541–567.Weatherston, J. (1995). Academic Entrepreneurs: Is a spin-off Company too risky. Proceedings of the 40th International Council on Small Business, Sydney, 18–21.Willoughby, M., Talon, J., Millet, J., & Ayats, C. (2013). University services for fostering creativity in hi-tech firms. The Service Industries Journal, 33, 1103–1116.Wright, M., & Mosey, S. (2012). Strategic entrepreneurship, resource orchestration and growing spin-offs from universities. Technology Analysis and Strategic Management, 24, 911–927.Wright, M., Clarysse, B., Mustar, P., & Lockett, A. (2007). Academic Entrepreneurship in Europe. Cheltenham: Edward Elgar.Yin, R. K. (1994). Case study research: Design and methods (2nd ed.). Sage: Thousand Oaks.Yusof, M., & Jain, K. J. (2010). Categories of university-level entrepreneurship: A literature survey. International Entrepreneurship and Management Journal, 6(1), 81–86

Children's and adolescents' rising animal-source food intakes in 1990-2018 were impacted by age, region, parental education and urbanicity

Animal-source foods (ASF) provide nutrition for children and adolescents physical and cognitive development. Here, we use data from the Global Dietary Database and Bayesian hierarchical models to quantify global, regional and national ASF intakes between 1990 and 2018 by age group across 185 countries, representing 93% of the worlds child population. Mean ASF intake was 1.9 servings per day, representing 16% of children consuming at least three daily servings. Intake was similar between boys and girls, but higher among urban children with educated parents. Consumption varied by age from 0.6 at <1 year to 2.5 servings per day at 1519 years. Between 1990 and 2018, mean ASF intake increased by 0.5 servings per week, with increases in all regions except sub-Saharan Africa. In 2018, total ASF consumption was highest in Russia, Brazil, Mexico and Turkey, and lowest in Uganda, India, Kenya and Bangladesh. These findings can inform policy to address malnutrition through targeted ASF consumption programmes. (c) 2023, The Author(s)

Incident type 2 diabetes attributable to suboptimal diet in 184 countries

The global burden of diet-attributable type 2 diabetes (T2D) is not well established. This risk assessment model estimated T2D incidence among adults attributable to direct and body weight-mediated effects of 11 dietary factors in 184 countries in 1990 and 2018. In 2018, suboptimal intake of these dietary factors was estimated to be attributable to 14.1 million (95% uncertainty interval (UI), 13.814.4 million) incident T2D cases, representing 70.3% (68.871.8%) of new cases globally. Largest T2D burdens were attributable to insufficient whole-grain intake (26.1% (25.027.1%)), excess refined rice and wheat intake (24.6% (22.327.2%)) and excess processed meat intake (20.3% (18.323.5%)). Across regions, highest proportional burdens were in central and eastern Europe and central Asia (85.6% (83.487.7%)) and Latin America and the Caribbean (81.8% (80.183.4%)); and lowest proportional burdens were in South Asia (55.4% (52.160.7%)). Proportions of diet-attributable T2D were generally larger in men than in women and were inversely correlated with age. Diet-attributable T2D was generally larger among urban versus rural residents and higher versus lower educated individuals, except in high-income countries, central and eastern Europe and central Asia, where burdens were larger in rural residents and in lower educated individuals. Compared with 1990, global diet-attributable T2D increased by 2.6 absolute percentage points (8.6 million more cases) in 2018, with variation in these trends by world region and dietary factor. These findings inform nutritional priorities and clinical and public health planning to improve dietary quality and reduce T2D globally. (c) 2023, The Author(s)