Effect of four plant species on soil 15N-access and herbage yield in temporary agricultural grasslands

Positive plant diversity-productivity relationships have been reported for experimental semi-natural grasslands (Cardinale et al. 2006; Hector et al. 1999; Tilman et al. 1996) as well as temporary agricultural grasslands (Frankow-Lindberg et al. 2009; Kirwan et al. 2007; Nyfeler et al. 2009; Picasso et al. 2008). Generally, these relationships are explained, on the one hand, by niche differentiation and facilitation (Hector et al. 2002; Tilman et al. 2002) and, on the other hand, by greater probability of including a highly productive plant species in high diversity plots (Huston 1997). Both explanations accept that diversity is significant because species differ in characteristics, such as root architecture, nutrient acquisition and water use efficiency, to name a few, resulting in composition and diversity being important for improved productivity and resource use (Naeem et al. 1994; Tilman et al. 2002). Plant diversity is generally low in temporary agricultural grasslands grown for ruminant fodder production. Grass in pure stands is common, but requires high nitrogen (N) inputs. In terms of N input, two-species grass-legume mixtures are more sustainable than grass in pure stands and consequently dominate low N input grasslands (Crews and Peoples 2004; Nyfeler et al. 2009; Nyfeler et al. 2011). In temperate grasslands, N is often the limiting factor for productivity (Whitehead 1995). Plant available soil N is generally concentrated in the upper soil layers, but may leach to deeper layers, especially in grasslands that include legumes (Scherer-Lorenzen et al. 2003) and under conditions with surplus precipitation (Thorup-Kristensen 2006). To improve soil N use efficiency in temporary grasslands, we propose the addition of deep-rooting plant species to a mixture of perennial ryegrass and white clover, which are the most widespread forage plant species in temporary grasslands in a temperate climate (Moore 2003). Perennial ryegrass and white clover possess relatively shallow root systems (Kutschera and Lichtenegger 1982; Kutschera and Lichtenegger 1992) with effective rooting depths of <0.7 m on a silt loamy site (Pollock and Mead 2008). Grassland species, such as lucerne and chicory, grow their tap-roots into deep soil layers and exploit soil nutrients and water in soil layers that the commonly grown shallow-rooting grassland species cannot reach (Braun et al. 2010; Skinner 2008). Chicory grown as a catch crop after barley reduced the inorganic soil N down to 2.5 m depth during the growing season, while perennial ryegrass affected the inorganic soil N only down to 1 m depth (Thorup-Kristensen 2006). Further, on a Wakanui silt loam in New Zealand chicory extracted water down to 1.9 m and lucerne down to 2.3 m soil depth, which resulted in greater herbage yields compared with a perennial ryegrass-white clover mixture, especially for dryland plots (Brown et al. 2005). There is little information on both the ability of deep- and shallow-rooting grassland species to access soil N from different vertical soil layers and the relation of soil N-access and herbage yield in temporary agricultural grasslands. Therefore, the objective of the present work was to test the hypotheses 1) that a mixture comprising both shallow- and deep-rooting plant species has greater herbage yields than a shallow-rooting binary mixture and pure stands, 2) that deep-rooting plant species (chicory and lucerne) are superior in accessing soil N from 1.2 m soil depth compared with shallow-rooting plant species, 3) that shallow-rooting plant species (perennial ryegrass and white clover) are superior in accessing soil N from 0.4 m soil depth compared with deep-rooting plant species, 4) that a mixture of deep- and shallow-rooting plant species has greater access to soil N from three soil layers compared with a shallow-rooting two-species mixture and that 5) the leguminous grassland plants, lucerne and white clover, have a strong impact on grassland N acquisition, because of their ability to derive N from the soil and the atmosphere

How do you say ‘hello’? Personality impressions from brief novel voices

On hearing a novel voice, listeners readily form personality impressions of that speaker. Accurate or not, these impressions are known to affect subsequent interactions; yet the underlying psychological and acoustical bases remain poorly understood. Furthermore, hitherto studies have focussed on extended speech as opposed to analysing the instantaneous impressions we obtain from first experience. In this paper, through a mass online rating experiment, 320 participants rated 64 sub-second vocal utterances of the word ‘hello’ on one of 10 personality traits. We show that: (1) personality judgements of brief utterances from unfamiliar speakers are consistent across listeners; (2) a two-dimensional ‘social voice space’ with axes mapping Valence (Trust, Likeability) and Dominance, each driven by differing combinations of vocal acoustics, adequately summarises ratings in both male and female voices; and (3) a positive combination of Valence and Dominance results in increased perceived male vocal Attractiveness, whereas perceived female vocal Attractiveness is largely controlled by increasing Valence. Results are discussed in relation to the rapid evaluation of personality and, in turn, the intent of others, as being driven by survival mechanisms via approach or avoidance behaviours. These findings provide empirical bases for predicting personality impressions from acoustical analyses of short utterances and for generating desired personality impressions in artificial voices

CAP defines a second signalling pathway required for insulin-stimulated glucose transport

Insulin stimulates the transport of glucose into fat and muscle cells. Although the precise molecular mechanisms involved in this process remain uncertain, insulin initiates its actions by binding to its tyrosine kinase receptor, leading to the phosphorylation of intracellular substrates. One such substrate is the Cbl protooncogene product(1). Cbl is recruited to the insulin receptor by interaction with the adapter protein CAP, through one of three adjacent SH3 domains in the carboxy terminus of CAP(2). Upon phosphorylation of Cbl, the CAP-Cbl complex dissociates from the insulin receptor and moves to a caveolin-enriched, triton-insoluble membrane fraction(3). Here, to identify a molecular mechanism underlying this subcellular redistribution, we screened a yeast two-hybrid library using the amino-terminal region of CAP and identified the caveolar protein flotillin. Flotillin forms a ternary complex with CAP and Cbl, directing the localization of the CAP-Cbl complex to a lipid raft subdomain of the plasma membrane. Expression of the N-terminal domain of CAP in 3T3-L1 adipocytes blocks the stimulation of glucose transport by insulin, without affecting signalling events that depend on phosphatidylinositol-3-OH kinase. Thus, localization of the Cbl-CAP complex to lipid rafts generates a pathway that is crucial in the regulation of glucose uptake.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/62940/1/407202a0.pd

Entrepreneurial intentions and entrepreneurship education to University students in Portugal

[EN] This article analyzes entrepreneurial intentions and motivations that encourage university students of Tourism to create their own company. Methodology is based on an empirical study, using a questionnaire adapted from a model of Veciana and Urbano (Actitudes de los estudiantes universitarios hacia la creación de empresas: un estudio empírico comparativo entre Catalunya y Puerto Rico. El emprendedor innovador y la creación de empresas de I + D + I, University of Valencia, pp 35 58, 2004), including the desirability and viability concepts. One hundred and sixty students answered the questionnaire from a total study population of 243 official Tourism degree students of the Superior Institute of Accounting and Management of Porto. This research finds out that the university students have a very positive perception about the desire to create their own company; a 90 % of students express their desire to do it, and 83.5 % express their intention. Moreover, a 57.5 % think that within actual crisis it is more difficult to do than before it. This research lets us get an in-depth study of a student of Tourism degree, finding out his entrepreneurial attitudes. It can be the first step to wake up and encourage students interest for starting up their own business.Del Rio-Rama, MDLC.; Peris-Ortiz, M.; Álvarez García, J.; Rueda Armengot, C. (2016). Entrepreneurial intentions and entrepreneurship education to University students in Portugal. Technology, Innovation and Education. 2(7):1-11. doi:10.1186/s40660-016-0013-5S11127Ajzen I (1991) The theory of plannes behavior. Organ Behav Hum Decis Process 50:179–211Aponte M (2002) Factores condicionantes de la creación de empresas en Puerto Rico: un enfoque institucional. Doctoral dissertation, Autonomous University of BarcelonaAponte M, Urbano D, Veciana JM (2006) Actitudes hacia la creación de empresas: un estudio comparativo entre Catalunya y Puerto Rico. Centro de Investigaciones Comerciales e Iniciativas Académicas de la Facultad de Administración de Empresas. Forum Empresarial 11(2):52–75Bae TJ, Qian S, Miao C, Fiet JO (2014) The relationship between entrepreneurship education and entrepreneurial intentions: a meta-analytic review. Entrep Theory Pract 38(2):217–254Brice J (2004) The role of personality dimensions on the formation of entrepreneurial intentions. USASBE Small Business Advancement National Center. University of Central Arkansas, USACabana-Villca R, Cortes-Castillo I, Plaza-Pasten D, Castillo-Vergara M, Alvarez-Marin A (2013) Análisis de las capacidades emprendedoras potenciales y efectivas en alumnos de centros de educación superior. J Technol Manag Innov 8(1):65–75Davidsson P (1989) Continued entrepreneurship and small firm business. Stockholm School of Economics, StockholmDavidsson P (1995) Culture, structure and regional levels of entrepreneurship. Entrep Reg Dev 7(1):41–62De Jorge-Moreno J, Castillo LL, Triguero MS (2012) The effect of business and economics education programs on students’ entrepreneurial intention. Eur J Train Dev 36(4):409–425Díaz JC, Hernández RM, Barata ML (2007) Estudiantes universitarios y creación de empresas. Un análisis comparativo entre España y Portugal. In Ayala, J.C. (coord.) Conocimiento, innovación y emprendedores: camino al futuro. Grupo FEDRA, MadridDo Paço AMF, Ferreira JM, Raposo M, Rodrigues RG, Dinis A (2011) Behaviours and entrepreneurial intention: empirical findings about secondary students. J Int Entrep 9(1):20–38Dohse D, Walter SG (2010) The role of entrepreneurship education and regional context in forming entrepreneurial intentions (No. 2010, 18). Document de treball de l’IEBEuropean Commission (2006). Entrepreneurship education in Europe: Fostering entrepreneurial mindsets through education and learning, Final Proceedings of the Conference on Entrepreneurship Education in OsloEurostat (2014) Informes sobre el empleo en la Unión Europea. Available in: http://europa.eu/publications/statistics/index_es.htmFuentes F, Saco F, Rodríguez P (2013) Estudio sobre el perfil emprendedor en el alumnado universitario de Córdoba. UCO Consejo Social de la Universidad de Córdoba, III Edición, Córdoba, pp 1–180Fuentes García FJ (2007) Análisis del Perfil Emprendedor del alumnado universitario y preuniversitario de Córdoba. Consejo Social Universidad de Córdoba, pp 1–105Genesca Garrigosa E, Veciana Verges JM (1984) Actitudes hacia la creación de empresas. Información Comercial Española 611:147–155Gerba DT (2012) Impact of entrepreneurship education on entrepreneurial intentions of business and engineering students in Ethiopia. Afr J Econ Manag Stud 3(2):258–277Gorman G, Hanlon D, King W (1997) Some research perspectives on entrepreneurship education and education for small business management: a ten-year literature review. Int Small Bus J 15(3):56–77Guerrero M, Rialp J, Urbano D (2008) The impact of desirability and feasibility on entrepreneurial intentions: a structural equation model. Int Entrep Manag J 4(1):35–50Haynie JM, Shepherd DA, McMullen JS (2009) An opportunity for me? The role of resources in opportunity evaluation decisions. J Manage Stud 46(3):337–361Hernangomez J, Martín N, Rodriguez AI, Saboia F (2005) El emprendedor nace o se hace? Un análisis de los determinantes del espíritu emprendedor. XVI Spanish-Portuguese Meeting of Scientic Management. Sevilla:33–44Hmieleski KM, Corbett AC (2006) Proclivity for improvisation as a predictor of entrepreneurial intentions. J Small Bus Manage 44(1):45–63Honjo Y (2004) Growth of new start-up firms: evidence from the Japanese manufacturing industry. Appl Econ Lett 11(1):21–32Hyde GC (1989) The relationship between policy and research. In Rosa, P.; Birley, S. Cannon, T. and O´Neill, K. The Role and Contribution of Small Business Research, Chap. 3:55–77, Institute ReportKolvereid L (1996) Prediction of employment status choice intentions. Entrep Theory Pract 21(1):47–57Kourilsky ML, Walstad WB (1998) Entrepreneurship and female youth: knowledge, attitude, gender differences, and educational practices. J Bus Ventur 13(1):77–88Krueger N, Brazeal D (1994) Entrepreneurial Potencial and Potencial Entrepreneurs. Entrep Theory Pract 18(3):91–104Krueger NF, Carsrud AL (1993) Entrepreneurial intentions: applying the theory of planned behaviour. Entrep Reg Dev 5(4):315–330Lanero A, Vázquez JL, Gutiérrez P, García MP (2011) The impact of entrepreneurship education in European universities: an intention-based approach analyzed in the Spanish area. Int Rev Public Nonprofit Marketin 8(2):111–130Miller BK, Bell JD, Palmer M, González A (2009) Predictors of entrepreneurial intentions: a quasi-experiment comparing students enrolled in introductory management and entrepreneurship classes. J Bus Entrep 21(2):39–62Neck HM, Zacharakis AL, Bygrave WD, Reynolds PD (2003) Global entrepreneurship monitor: 2002 executive report. Babson College, Babson, MANorth DC (1990) Institutions, Institutional Change and Economic Performance. Cambridge University Press, Cambridge (UK)North D (1993) Instituciones, cambio institucional y desempeño económico. Fondo de Cultura Económica, MéxicoNorth DC (2005) Understanding the Process of Economic Change. Academic Foundation. University Press, PrincentonGEM Portugal (2012) Estudo sobre o Empreendedorismo. Global Entrepreneruship Monitor (GEM). Instituto Universitário de Lisboa (ISCTEIUL) http://web.spi.pt/GEMportugal2012/files/GEM_PORTUGAL_2012.pdfRaposo M, do Paço A, Ferreira J (2008a) Entrepreneur’s profile: a taxonomy of attribu tes and motivations of university students. J Small Bus Enterp Dev 15(2):405–420Raposo MLB, Ferreira JJM, do Paço AMF, Rodrigues RJG (2008b) Propensity to firm creation: empirical research using structural equations. Int Entrep Manag J 4(4):485–504Robinson PB, Stimpson DV, Huefner JC, Hunt HK (1991) An attitude approach to the prediction of entrepreneurship. Entrep Theory Pract 15(4):13–31Samad Aghayi J (2008) Entrepreneurship organization. Public Administration Training Center Publications, TehranScherer RF, Adams JS, Carley S, Wiebe FA (1989) Role model performance effects on development of entrepreneurial career preference. Entrep Theory and Pract, spring:53–71Scherer RF, Brodzinski JD, Wiebe F (1991) Examining the relationship between personality and entrepreneurial career preference. Entrep Reg Dev 3(2):195–206Shane S (2003) A General Theory of Enttrepreneurship- The Individual Oportunity Nexus. Edward Elgar EditoresShapero A (1982) Social dimensions of entrepreneurship. In: Kent CA et al (eds) The encyclopedia of entrepreneurship. Prentice-Hall, Englewood Cliffs, pp 72–89Shapero A, Sokol L (1982) The social dimensions of entrepreneurship.Encyclopedia of Entrepreneurship:72–90Storey DJ (1994) Employment. In Storey, D.J. Understanding the small business sector. Capítulo 6, pp. 160–203. London: RoutledgeToledano N, Urbano D (2008) Promoting entrepreneurial mindsets at universities: a case study in the South of Spain. Eur J Int Manag 2(4):382–399Trequattrini R, Lombardi R, Lardo A, Cuozzo B (2015). The Impact of Entrepreneurial Universities on Regional Growth: a Local Intellectual Capital Perspective. Journal of the Knowledge Economy, 1–13Urbano D (2006) La creación de empresas en Catalunya. Organismos de apoyo y actitudes hacia la actividad emprendedora, Ed. Generalitat de Catalunya-CIDEM, BarcelonaUrbano D, Toledano N (2008) The systems of university education and their influence on the students’ attitudes in the business world: a multiple case study. Oikos 25:87–103Veciana JM (1989) Características del empresario en España. Papeles de Economía Española 39:19–36Veciana JM, Urbano D (2004) Actitudes de los estudiantes universitarios hacia la creación de empresas: un estudio empírico comparativo entre Catalunya y Puerto Rico. El emprendedor innovador y la creación de empresas de I + D + I, University of Valencia, pp 35–58Veciana JM, Aponte M, Urbano D (2005) University student’s attitudes towards entrepreneurship: a two countries comparison. Int Entrep Manag J 1:165–182Wang CK, Wong PK (2004) Entrepreneurial interest of university students in Singapore. Technovation 24(2):163–172White SB, Reynolds PD (1996) Government programs and high growth new firms. Frontiers of Entrepreneurship Research. Center for Entrepreneurial Studies Babson College. Wellesley, MA.: 621–635Yari A, Toulabi Z, Pourashraf Y (2013) Designing propensity to entrepreneurship paradigm in Ilam universities (structural equation model approach). J Novel Appl Sci 2:872–88

Effects of Aesthetic Chills on a Cardiac Signature of Emotionality

Previous studies have shown that a cardiac signature of emotionality (referred to as EK, which can be computed from the standard 12 lead electrocardiogram, ECG), predicts inter-individual differences in the tendency to experience and express positive emotion. Here, we investigated whether EK values can be transiently modulated during stimulation with participant-selected music pieces and film scenes that elicit strongly positive emotion. The phenomenon of aesthetic chills, as indicated by measurable piloerection on the forearm, was used to accurately locate moments of peak emotional responses during stimulation. From 58 healthy participants, continuous EK values, heart rate, and respiratory frequency were recorded during stimulation with film scenes and music pieces, and were related to the aesthetic chills. EK values, as well as heart rate, increased significantly during moments of peak positive emotion accompanied by piloerection. These results are the first to provide evidence for an influence of momentary psychological state on a cardiac signature of emotional personality (as reflected in EK values). The possibility to modulate ECG amplitude signatures via stimulation with emotionally significant music pieces and film scenes opens up new perspectives for the use of emotional peak experiences in the therapy of disorders characterized by flattened emotionality, such as depression or schizoid personality disorder

Mammalian cell transfection: the present and the future

Transfection is a powerful analytical tool enabling study of the function of genes and gene products in cells. The transfection methods are broadly classified into three groups; biological, chemical, and physical. These methods have advanced to make it possible to deliver nucleic acids to specific subcellular regions of cells by use of a precisely controlled laser-microcope system. The combination of point-directed transfection and mRNA transfection is a new way of studying the function of genes and gene products. However, each method has its own advantages and disadvantages so the optimum method depends on experimental design and objective

Statistical Reviewers Improve Reporting in Biomedical Articles: A Randomized Trial

BACKGROUND: Although peer review is widely considered to be the most credible way of selecting manuscripts and improving the quality of accepted papers in scientific journals, there is little evidence to support its use. Our aim was to estimate the effects on manuscript quality of either adding a statistical peer reviewer or suggesting the use of checklists such as CONSORT or STARD to clinical reviewers or both. METHODOLOGY AND PRINCIPAL FINDINGS: Interventions were defined as 1) the addition of a statistical reviewer to the clinical peer review process, and 2) suggesting reporting guidelines to reviewers; with “no statistical expert” and “no checklist” as controls. The two interventions were crossed in a 2×2 balanced factorial design including original research articles consecutively selected, between May 2004 and March 2005, by the Medicina Clinica (Barc) editorial committee. We randomized manuscripts to minimize differences in terms of baseline quality and type of study (intervention, longitudinal, cross-sectional, others). Sample-size calculations indicated that 100 papers provide an 80% power to test a 55% standardized difference. We specified the main outcome as the increment in quality of papers as measured on the Goodman Scale. Two blinded evaluators rated the quality of manuscripts at initial submission and final post peer review version. Of the 327 manuscripts submitted to the journal, 131 were accepted for further review, and 129 were randomized. Of those, 14 that were lost to follow-up showed no differences in initial quality to the followed-up papers. Hence, 115 were included in the main analysis, with 16 rejected for publication after peer review. 21 (18.3%) of the 115 included papers were interventions, 46 (40.0%) were longitudinal designs, 28 (24.3%) cross-sectional and 20 (17.4%) others. The 16 (13.9%) rejected papers had a significantly lower initial score on the overall Goodman scale than accepted papers (difference 15.0, 95% CI: 4.6–24.4). The effect of suggesting a guideline to the reviewers had no effect on change in overall quality as measured by the Goodman scale (0.9, 95% CI: −0.3–+2.1). The estimated effect of adding a statistical reviewer was 5.5 (95% CI: 4.3–6.7), showing a significant improvement in quality. CONCLUSIONS AND SIGNIFICANCE: This prospective randomized study shows the positive effect of adding a statistical reviewer to the field-expert peers in improving manuscript quality. We did not find a statistically significant positive effect by suggesting reviewers use reporting guidelines

Development and validation of a computerized expert system for evaluation of automated visual fields from the Ischemic Optic Neuropathy Decompression Trial

BACKGROUND: The objective of this report is to describe the methods used to develop and validate a computerized system to analyze Humphrey visual fields obtained from patients with non-arteritic anterior ischemic optic neuropathy (NAION) and enrolled in the Ischemic Optic Neuropathy Decompression Trial (IONDT). The IONDT was a multicenter study that included randomized and non-randomized patients with newly diagnosed NAION in the study eye. At baseline, randomized eyes had visual acuity of 20/64 or worse and non-randomized eyes had visual acuity of better than 20/64 or were associated with patients refusing randomization. Visual fields were measured before treatment using the Humphrey Field Analyzer with the 24-2 program, foveal threshold, and size III stimulus. METHODS: We used visual fields from 189 non-IONDT eyes with NAION to develop the computerized classification system. Six neuro-ophthalmologists ("expert panel") described definitions for visual field patterns defects using 19 visual fields representing a range of pattern defect types. The expert panel then used 120 visual fields, classified using these definitions, to refine the rules, generating revised definitions for 13 visual field pattern defects and 3 levels of severity. These definitions were incorporated into a rule-based computerized classification system run on Excel(® )software. The computerized classification system was used to categorize visual field defects for an additional 95 NAION visual fields, and the expert panel was asked to independently classify the new fields and subsequently whether they agreed with the computer classification. To account for test variability over time, we derived an adjustment factor from the pooled short term fluctuation. We examined change in defects with and without adjustment in visual fields of study participants who demonstrated a visual acuity decrease within 30 days of NAION onset (progressive NAION). RESULTS: Despite an agreed upon set of rules, there was not good agreement among the expert panel when their independent visual classifications were compared. A majority did concur with the computer classification for 91 of 95 visual fields. Remaining classification discrepancies could not be resolved without modifying existing definitions. Without using the adjustment factor, visual fields of 63.6% (14/22) patients with progressive NAION and no central defect, and all (7/7) patients with a paracentral defect, worsened within 30 days of NAION onset. After applying the adjustment factor, the visual fields of the same patients with no initial central defect and 5/7 of the patients with a paracentral defect were seen to worsen. CONCLUSION: The IONDT developed a rule-based computerized system that consistently defines pattern and severity of visual fields of NAION patients for use in a research setting