237 research outputs found

    Jet energy measurement with the ATLAS detector in proton-proton collisions at root s=7 TeV

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    The jet energy scale and its systematic uncertainty are determined for jets measured with the ATLAS detector at the LHC in proton-proton collision data at a centre-of-mass energy of √s = 7TeV corresponding to an integrated luminosity of 38 pb-1. Jets are reconstructed with the anti-kt algorithm with distance parameters R=0. 4 or R=0. 6. Jet energy and angle corrections are determined from Monte Carlo simulations to calibrate jets with transverse momenta pT≥20 GeV and pseudorapidities {pipe}η{pipe}<4. 5. The jet energy systematic uncertainty is estimated using the single isolated hadron response measured in situ and in test-beams, exploiting the transverse momentum balance between central and forward jets in events with dijet topologies and studying systematic variations in Monte Carlo simulations. The jet energy uncertainty is less than 2. 5 % in the central calorimeter region ({pipe}η{pipe}<0. 8) for jets with 60≤pT<800 GeV, and is maximally 14 % for pT<30 GeV in the most forward region 3. 2≤{pipe}η{pipe}<4. 5. The jet energy is validated for jet transverse momenta up to 1 TeV to the level of a few percent using several in situ techniques by comparing a well-known reference such as the recoiling photon pT, the sum of the transverse momenta of tracks associated to the jet, or a system of low-pT jets recoiling against a high-pT jet. More sophisticated jet calibration schemes are presented based on calorimeter cell energy density weighting or hadronic properties of jets, aiming for an improved jet energy resolution and a reduced flavour dependence of the jet response. The systematic uncertainty of the jet energy determined from a combination of in situ techniques is consistent with the one derived from single hadron response measurements over a wide kinematic range. The nominal corrections and uncertainties are derived for isolated jets in an inclusive sample of high-pT jets. Special cases such as event topologies with close-by jets, or selections of samples with an enhanced content of jets originating from light quarks, heavy quarks or gluons are also discussed and the corresponding uncertainties are determined. © 2013 CERN for the benefit of the ATLAS collaboration

    Measurement of the inclusive and dijet cross-sections of b-jets in pp collisions at sqrt(s) = 7 TeV with the ATLAS detector

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    The inclusive and dijet production cross-sections have been measured for jets containing b-hadrons (b-jets) in proton-proton collisions at a centre-of-mass energy of sqrt(s) = 7 TeV, using the ATLAS detector at the LHC. The measurements use data corresponding to an integrated luminosity of 34 pb^-1. The b-jets are identified using either a lifetime-based method, where secondary decay vertices of b-hadrons in jets are reconstructed using information from the tracking detectors, or a muon-based method where the presence of a muon is used to identify semileptonic decays of b-hadrons inside jets. The inclusive b-jet cross-section is measured as a function of transverse momentum in the range 20 < pT < 400 GeV and rapidity in the range |y| < 2.1. The bbbar-dijet cross-section is measured as a function of the dijet invariant mass in the range 110 < m_jj < 760 GeV, the azimuthal angle difference between the two jets and the angular variable chi in two dijet mass regions. The results are compared with next-to-leading-order QCD predictions. Good agreement is observed between the measured cross-sections and the predictions obtained using POWHEG + Pythia. MC@NLO + Herwig shows good agreement with the measured bbbar-dijet cross-section. However, it does not reproduce the measured inclusive cross-section well, particularly for central b-jets with large transverse momenta.Comment: 10 pages plus author list (21 pages total), 8 figures, 1 table, final version published in European Physical Journal

    Observation of associated near-side and away-side long-range correlations in √sNN=5.02  TeV proton-lead collisions with the ATLAS detector

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    Two-particle correlations in relative azimuthal angle (Δϕ) and pseudorapidity (Δη) are measured in √sNN=5.02  TeV p+Pb collisions using the ATLAS detector at the LHC. The measurements are performed using approximately 1  μb-1 of data as a function of transverse momentum (pT) and the transverse energy (ΣETPb) summed over 3.1<η<4.9 in the direction of the Pb beam. The correlation function, constructed from charged particles, exhibits a long-range (2<|Δη|<5) “near-side” (Δϕ∼0) correlation that grows rapidly with increasing ΣETPb. A long-range “away-side” (Δϕ∼π) correlation, obtained by subtracting the expected contributions from recoiling dijets and other sources estimated using events with small ΣETPb, is found to match the near-side correlation in magnitude, shape (in Δη and Δϕ) and ΣETPb dependence. The resultant Δϕ correlation is approximately symmetric about π/2, and is consistent with a dominant cos⁡2Δϕ modulation for all ΣETPb ranges and particle pT

    Search for R-parity-violating supersymmetry in events with four or more leptons in sqrt(s) =7 TeV pp collisions with the ATLAS detector

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    A search for new phenomena in final states with four or more leptons (electrons or muons) is presented. The analysis is based on 4.7 fb−1 of s=7  TeV \sqrt{s}=7\;\mathrm{TeV} proton-proton collisions delivered by the Large Hadron Collider and recorded with the ATLAS detector. Observations are consistent with Standard Model expectations in two signal regions: one that requires moderate values of missing transverse momentum and another that requires large effective mass. The results are interpreted in a simplified model of R-parity-violating supersymmetry in which a 95% CL exclusion region is set for charged wino masses up to 540 GeV. In an R-parity-violating MSUGRA/CMSSM model, values of m 1/2 up to 820 GeV are excluded for 10 < tan β < 40

    Search for high-mass resonances decaying to dilepton final states in pp collisions at s√=7 TeV with the ATLAS detector

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    The ATLAS detector at the Large Hadron Collider is used to search for high-mass resonances decaying to an electron-positron pair or a muon-antimuon pair. The search is sensitive to heavy neutral Z′ gauge bosons, Randall-Sundrum gravitons, Z * bosons, techni-mesons, Kaluza-Klein Z/γ bosons, and bosons predicted by Torsion models. Results are presented based on an analysis of pp collisions at a center-of-mass energy of 7 TeV corresponding to an integrated luminosity of 4.9 fb−1 in the e + e − channel and 5.0 fb−1 in the μ + μ −channel. A Z ′ boson with Standard Model-like couplings is excluded at 95 % confidence level for masses below 2.22 TeV. A Randall-Sundrum graviton with coupling k/MPl=0.1 is excluded at 95 % confidence level for masses below 2.16 TeV. Limits on the other models are also presented, including Technicolor and Minimal Z′ Models

    Search for the neutral Higgs bosons of the minimal supersymmetric standard model in pp collisions at root s=7 TeV with the ATLAS detector

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    A search for neutral Higgs bosons of the Minimal Supersymmetric Standard Model (MSSM) is reported. The analysis is based on a sample of proton-proton collisions at a centre-of-mass energy of 7TeV recorded with the ATLAS detector at the Large Hadron Collider. The data were recorded in 2011 and correspond to an integrated luminosity of 4.7 fb-1 to 4.8 fb-1. Higgs boson decays into oppositely-charged muon or τ lepton pairs are considered for final states requiring either the presence or absence of b-jets. No statistically significant excess over the expected background is observed and exclusion limits at the 95% confidence level are derived. The exclusion limits are for the production cross-section of a generic neutral Higgs boson, φ, as a function of the Higgs boson mass and for h/A/H production in the MSSM as a function of the parameters mA and tan β in the mhmax scenario for mA in the range of 90GeV to 500 GeV. Copyright CERN

    Association of trial registration with the results and conclusions of published trials of new oncology drugs

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    <p>Abstract</p> <p>Background</p> <p>Registration of clinical trials has been introduced largely to reduce bias toward statistically significant results in the trial literature. Doubts remain about whether advance registration alone is an adequate measure to reduce selective publication, selective outcome reporting, and biased design. One of the first areas of medicine in which registration was widely adopted was oncology, although the bulk of registered oncology trials remain unpublished. The net influence of registration on the literature remains untested. This study compares the prevalence of favorable results and conclusions among published reports of registered and unregistered randomized controlled trials of new oncology drugs.</p> <p>Methods</p> <p>We conducted a cross-sectional study of published original research articles reporting clinical trials evaluating the efficacy of drugs newly approved for antimalignancy indications by the United States Food and Drug Administration (FDA) from 2000 through 2005. Drugs receiving first-time approval for indications in oncology were identified using the FDA web site and Thomson Centerwatch. Relevant trial reports were identified using PubMed and the Cochrane Library. Evidence of advance trial registration was obtained by a search of clinicaltrials.gov, WHO, ISRCTN, NCI-PDQ trial databases and corporate trial registries, as well as articles themselves. Data on blinding, results for primary outcomes, and author conclusions were extracted independently by two coders. Univariate and multivariate logistic regression identified associations between favorable results and conclusions and independent variables including advance registration, study design characteristics, and industry sponsorship.</p> <p>Results</p> <p>Of 137 original research reports from 115 distinct randomized trials assessing 25 newly approved drugs for treating cancer, the 54 publications describing data from trials registered prior to publication were as likely to report statistically significant efficacy results and reach conclusions favoring the test drug (for results, OR = 1.77; 95% CI = 0.87 to 3.61) as reports of trials not registered in advance. In multivariate analysis, reports of prior registered trials were again as likely to favor the test drug (OR = 1.29; 95% CI = 0.54 to 3.08); large sample sizes and surrogate outcome measures were statistically significant predictors of favorable efficacy results at p < 0.05. Subgroup analysis of the main reports from each trial (n = 115) similarly indicated that registered trials were as likely to report results favoring the test drug as trials not registered in advance (OR = 1.11; 95% CI = 0.44 to 2.80), and also that large trials and trials with nonstringent blinding were significantly more likely to report results favoring the test drug.</p> <p>Conclusions</p> <p>Trial registration alone, without a requirement for full reporting of research results, does not appear to reduce a bias toward results and conclusions favoring new drugs in the clinical trials literature. Our findings support the inclusion of full results reporting in trial registers, as well as protocols to allow assessment of whether results have been completely reported.</p

    The Contrasting Effect of Macromolecular Crowding on Amyloid Fibril Formation

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    Amyloid fibrils associated with neurodegenerative diseases can be considered biologically relevant failures of cellular quality control mechanisms. It is known that in vivo human Tau protein, human prion protein, and human copper, zinc superoxide dismutase (SOD1) have the tendency to form fibril deposits in a variety of tissues and they are associated with different neurodegenerative diseases, while rabbit prion protein and hen egg white lysozyme do not readily form fibrils and are unlikely to cause neurodegenerative diseases. In this study, we have investigated the contrasting effect of macromolecular crowding on fibril formation of different proteins.As revealed by assays based on thioflavin T binding and turbidity, human Tau fragments, when phosphorylated by glycogen synthase kinase-3β, do not form filaments in the absence of a crowding agent but do form fibrils in the presence of a crowding agent, and the presence of a strong crowding agent dramatically promotes amyloid fibril formation of human prion protein and its two pathogenic mutants E196K and D178N. Such an enhancing effect of macromolecular crowding on fibril formation is also observed for a pathological human SOD1 mutant A4V. On the other hand, rabbit prion protein and hen lysozyme do not form amyloid fibrils when a crowding agent at 300 g/l is used but do form fibrils in the absence of a crowding agent. Furthermore, aggregation of these two proteins is remarkably inhibited by Ficoll 70 and dextran 70 at 200 g/l.We suggest that proteins associated with neurodegenerative diseases are more likely to form amyloid fibrils under crowded conditions than in dilute solutions. By contrast, some of the proteins that are not neurodegenerative disease-associated are unlikely to misfold in crowded physiological environments. A possible explanation for the contrasting effect of macromolecular crowding on these two sets of proteins (amyloidogenic proteins and non-amyloidogenic proteins) has been proposed

    Wellbeing indicators affecting female entrepreneurship in OECD countries

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    [EN] The objective of this research is to know which wellbeing indicators, such as work-life balance, educational level, income or job security, are related to the rate of female entrepreneurship in 29 OECD countries. In addition, these countries have been classified according to the motivation of the entrepreneur either by necessity or by opportunity. The empiric study is focused on 29 OECD countries covering the different geographic areas (Western Europe, Central and Eastern Europe, Middle East, etc.) Due to the fact that the sample is relatively small, it is essential to use a selective approach when selecting the causal conditions. To this end, fsQCA is the most appropriate methodology for such a small data set. A total of 5 variables have been used: an independent variable (female TEA ratio), and four dependent variables (work life balance, educational level, sustainable household income and job security). Data measuring female TEA ratio have been obtained from Global Entrepreneur Monitor (GEM in Global report, 2015) data base, while data measuring wellbeing dimensions were taken from the Better Life Index (OECD in How¿s life? Measuring wellbeing, 2015. http://www.oecdbetterlifeindex.org). The results of this piece of research show that countries with high sustainable household income together with high level of education achieves high female entrepreneurship ratio with both, a good work-life balance (despite of a high unemployment probability), or a high labour-personal imbalance (in this latter, with a low probability of unemployment).This work has been funded by the R + D project for emerging research groups with reference (GVA) GV/2016/078.Ribes-Giner, G.; Moya Clemente, I.; Cervelló Royo, RE.; Perelló Marín, MR. (2019). Wellbeing indicators affecting female entrepreneurship in OECD countries. Quality & Quantity. 53(2):915-933. https://doi.org/10.1007/s11135-018-0796-4S915933532Ahl, H., Nelson, T.: How policy positions women entrepreneurs: a comparative analysis of state discourse in Sweden and the United States. J. Bus. Ventur. 30(2), 273–291 (2015). https://doi.org/10.1016/j.jbusvent.2014.08.002Andersson, P.: Happiness and health: wellbeing among the self-employed. J. Socio-Econ. 37(1), 213–236 (2008). https://doi.org/10.1016/j.socec.2007.03.003Bardasi, E., Sabarwal, S., Terrell, K.: How do female entrepreneurs perform? Evidence from three developing regions. Small Bus. Econ. 37(4), 417–441 (2011). https://doi.org/10.1007/s11187-011-9374-zBergheim, S., Schneider, S., Giesel, B., Walter, N.: Measures of Wellbeing. There is More to it Than GDP. Deutsche Bank Research, Frankfurt (2006)Berglund, H.: Between cognition and discourse: phenomenology and the study of entrepreneurship. Int. J. Entrep. Behav. Res. 21(3), 472–488 (2015). https://doi.org/10.1108/IJEBR-12-2013-0210Bianchi, M., Parisi, V., Salvatore, R.: Female entrepreneurs: motivations and constraints. An Italian regional study. Int. J. Gend. Entrep. 8(3), 198–220 (2016). https://doi.org/10.1108/IJGE-08-2015-0029Bittencourt Marconatto, D.A., Barin-Cruz, L., Pozzebon, M., Poitras, J.E.: Developing sustainable business models within BOP contexts: mobilizing native capability to cope with government programs. J. Clean. Prod. 129, 735–748 (2016). https://doi.org/10.1016/j.jclepro.2016.03.038Boarini, R., Comola, M., Smith, C., Manchin, R., de Keulenaer, F.: What makes for a better life? The determinants of subjective well-being in OECD countries—evidence from the Gallup World Poll. OECD statistics working papers, 2012(3), 0_1 (2012). https://doi.org/10.1787/5k9b9ltjm937-enBoarini, R., D’Ercole, M.M.: Going beyond GDP: an OECD perspective. Fisc. Stud. 34(3), 289–314 (2013). https://doi.org/10.1111/j.1475-5890.2013.12007.xBradshaw, J., Hoelscher, P., Richardson, D. (eds.): Comparing child well-being in OECD countries: Concepts and methods. Innocenti working paper, IWP-2006-03. UNICEF Innocenti Research Centre, Florence, Italy (2007)Brindley, C.: Barriers to women achieving their entrepreneurial potential. Int. J. Entrep. Behav. Res. Emerald Group Publishing Limited (2005). Retrieved from http://www.emeraldinsight.com/doi/full/10.1108/13552550510590554Burke, A.E., Fitzroy, F.R., Nolan, M.A.: What makes a die-hard entrepreneur? Beyond the “employee or entrepreneur” dichotomy. Small Bus. Econ. 31(2), 93–115 (2008). https://doi.org/10.1007/s11187-007-9086-6Buttner, H.E., Moore, D.P.: Women’s organizational exodus to entrepreneurship: self-reported motivations and correlates with success. J. Small Bus. Manag. 35(1), 34–46 (1997). Retrieved from http://search.ebscohost.comCarter, S.: The rewards of entrepreneurship: exploring the incomes, wealth, and economic wellbeing of entrepreneurial households. Entrep. Theory Pract. 35(1), 39–55 (2011)Castaño, M.-S., Méndez, M.-T., Galindo, M.Á.: The effect of social, cultural, and economic factors on entrepreneurship. J. Bus. Res. 68(7), 1496–1500 (2015). https://doi.org/10.1016/j.jbusres.2015.01.040Castellano, R., Musella, G., Punzo, G.: Structure of the labour market and wage inequality: evidence from European countries. Qual. Quant. 51(5), 2191–2218 (2017)Cervelló-Royo, R., Moya-Clemente, I., Ribes-Giner, G.: Microfinance Institutions (MFIs) in Latin America: Who should finance the entrepreneurial ventures of the less privileged? In: Peris-Ortiz, M., Sahut, J.-M. (eds.) New Challenges in Entrepreneurship and Finance, pp. 235–245. Springer, Cham (2015)Cervelló-Royo, R., Guijarro, F., Martinez-Gomez, V.: Social performance considered within the global performance of Microfinance Institutions: a new approach. Oper. Res. (2017). https://doi.org/10.1007/s12351-017-0360-3Chaaban, J., Irani, A., Khoury, A.: The composite global wellbeing index (CGWBI): a new multi-dimensional measure of human development. Soc. Indic. Res. 129(1), 465–487 (2016). https://doi.org/10.1007/s11205-015-1112-5Chapple, S.: Child wellbeing and sole-parent family structure in the OECD: an analysis. OECD. Social, employment, and migration working papers (82), 0_1 (2009)Christofides, L.N., Polycarpou, A., Vrachimis, K.: Gender wage gaps, “sticky floors” and “glass ceilings” in Europe. Labour Econ. 21, 86–102 (2013). https://doi.org/10.1016/j.labeco.2013.01.003Cumming, D., Hou, W., Lee, E.: Sustainable and ethical entrepreneurship, corporate finance and governance, and institutional reform in China. J. Bus. Ethics 134(4), 505–508 (2016). https://doi.org/10.1007/s10551-014-2381-7Cummins, R.A., Eckersley, R., Pallant, J., Van Vugt, J., Misajon, R.: Developing a national index of subjective wellbeing: the Australian Unity Wellbeing Index. Soc. Indic. Res. 64(2), 159–190 (2003). https://doi.org/10.1023/A:1024704320683De la Cruz Sánchez-Escobedo, M., Díaz-Casero, J.C., Díaz-Aunión, Á.M., Hernández-Mogollón, R.: Gender analysis of entrepreneurial intentions as a function of economic development across three groups of countries. Int. Entrep. Manag. J. 10(4), 747–765 (2014). https://doi.org/10.1007/s11365-014-0314-7Diener, E.: Subjective wellbeing. In: Diener, E. (ed.) The Sicence of Wellbeing, pp. 11–58. Springer, Dordrecht (2009). https://doi.org/10.1007/978-90-481-2350-6_2Dodge, R., Daly, A., Huyton, J., Sanders, L.: The challenge of defining wellbeing. Int. J. Wellbeing 2(3), 222–235 (2012). https://doi.org/10.5502/ijw.v2i3.4Fiss, P.C.: Building better casual theories: a fuzzy set approach to typologies in organization research. Acad. Manag. J. 54(2), 393–420 (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries (2011)Fleche, S., Smith, C., Sorsa, P.: Exploring determinants of subjective wellbeing in OECD countries evidence from the world value survey. Working papers, OECD Statistics (2012). https://doi.org/10.1787/5kg0k6zlcm5k-enFoley, A., Griffith, B.: Education, training and the promotion of high quality entrepreneurs in the Republic of Ireland. In: Scott, M.G., Rosa, P., Klandt, H. (eds.) Educating Entrepreneurs for Wealth Creation. Ashgate, Aldershot (1998)Garikipati, S.: Microcredit and women’s empowerment: through the lens of time-use data from rural India. Dev. Change 43(3), 719–750 (2012). https://doi.org/10.1111/j.1467-7660.2012.01780.xGEM (Global Entrepreneurship Monitor): Global report (2015)Harter, J.K., Schmidt, F.L., Keyes, C.L.M.: Wellbeing in the workplace and its relationship to business outcomes. A review of the Gallup studies. In: Keyes, C.L.M., Haidt, J. (eds.) Flourishing: The Positive Person and the Good Life, pp. 205–224. American Psychologi cal Association, Washington (2003)Henry, C., Foss, L., Ahl, H.: Gender and entrepreneurship research: a review of methodological approaches. Int. Small Bus. J. 34(3), 217–241 (2015). https://doi.org/10.1177/0266242614549779Hessels, J., Van Gelderen, M., Thurik, R.: Entrepreneurial aspirations, motivations, and their drivers”. Small Bus. Econ. 31(3), 323–339 (2008). https://doi.org/10.1007/s11187-008-9134-xIezzi, D.F., Deriu, F.: Women active citizenship and wellbeing: the Italian case. Qual. Quant. 48(2), 845–862 (2014)Jansson, T.: Housing choices and labor income risk. J. Urban Econ. 99, 107–119 (2017). https://doi.org/10.1016/j.jue.2016.12.006Johansen, V., Foss, L.: The effects of entrepreneurship education—does gender matter? Int. J. Entrep. Small Bus. 20(3), 255–271 (2013). https://doi.org/10.1504/IJESB.2013.056889Judge, W.Q., Hu, H.W., Gabrielsson, J., Talaulicar, T., Witt, M.A., Zattoni, A., Kibler, B.: Configurations of capacity for change in entrepreneurial threshold firms: imprinting and strategic choice perspectives. J. Manag. Stud. 52(4), 506–530 (2015). https://doi.org/10.1111/joms.12121Kautonen, T., Kibler, E., Minniti, M.: Late-career entrepreneurship, income and quality of life. J. Bus. Ventur. 32(3), 318–333 (2017). https://doi.org/10.1016/j.jbusvent.2017.02.005Kephart, P., Schumacher, L.: Has the “glass ceiling” cracked? An exploration of women entrepreneurship. J. Leadersh. Organ. Stud. 12(1), 2–15 (2005). https://doi.org/10.1177/107179190501200102Kirkwood, J.: Motivational factors in a push–pull theory of entrepreneurship. Gend. Manag. Int. J. 24(5), 346–364 (2009). https://doi.org/10.1108/17542410910968805Kobeissi, N.: Gender factors and female entrepreneurship: International evidence and policy implications. J. Int. Entrep. 8, 1–35 (2010). Retrieved from https://doi.org/10.1007/s10843-010-0045-yKuckertz, A., Berger, E.S.C., Allmendinger, M.P.: What drives entrepreneurship? A configurational analysis of the determinants of entrepreneurship in innovation-driven economies. Die Betriebswirtschaft/Bus. Adm. Rev. 75(4), 273–288 (2015). https://doi.org/10.1017/cbo9781107415324.004La Placa, V., McNaught, A., Knight, A.: Discourse on wellbeing in research and practice. Int. J. Wellbeing 3, 116–125 (2013). https://doi.org/10.5502/ijw.v3i1.7Langowitz, N., Minniti, M.: The entrepreneurial propensity of women. Entrep. Theory Pract. 31(3), 341–364 (2007). https://doi.org/10.1111/j.1540-6520.2007.00177.xLee, S.S.Y.: Examining policy configurations as conditions for long-term unemployment and non-standard employment in OECD countries using fuzzy-set analysis. Qual. Quant. 47(6), 3521–3536 (2013)Leffler, E., Svedberg, G.: Enterprise learning: a challenge to education? Eur. Educ. Res. J. 4(3), 219–227 (2005)Levie, J., Autio, E.: A theoretical grounding and test of the GEM model. Small Bus. Econ. 31(3), 235–263 (2008). https://doi.org/10.1007/s11187-008-9136-8Maccagnan, A., Wren-Lewis, S., Brown, H., Taylor, T.: Wellbeing and society: towards quantification of the co-benefits of wellbeing. Soc. Indic. Res. 1–27 (2018)Mandl, C., Berger, E.S.C., Kuckertz, A.: Do you plead guilty? Exploring entrepreneurs’ sensemaking-behavior link after business failure. J. Bus. Ventur. Insights 5, 9–13 (2016). https://doi.org/10.1016/j.jbvi.2015.12.002Martin, B.C., McNally, J.J., Kay, M.J.: Examining the formation of human capital in entrepreneurship: a meta-analysis of entrepreneurship education outcomes. J. Bus. Ventur. 28(2), 211–224 (2013). https://doi.org/10.1016/j.jbusvent.2012.03.002McClelland, E., Swail, J., Bell, J., Ibbotson, P.: Following the pathway of female entrepreneurs. Int. J. Entrep. Behav. Res. 11(2), 84–107 (2005). https://doi.org/10.1108/13552550510590527Millán, J.M., Hessels, J., Thurik, R., Aguado, R.: Determinants of job satisfaction: a European comparison of self-employed and paid employees. Small Bus. Econ. 40(3), 651–670 (2013). https://doi.org/10.1007/s11187-011-9380-1Minniti, M., Nardone, C.: Being in someone else’s shoes: the role of gender in nascent entrepreneurship. Small Bus. Econ. 28(2–3), 223–238 (2007). https://doi.org/10.1007/s11187-006-9017-yMishra, V., Nielsen, I., Smyth, R.: How does relative income and variations in short-run wellbeing affect wellbeing in the long run? Empirical evidence from China’s Korean minority. Soc. Indic. Res. 115(1), 67–91 (2014)Murias, P., Martinez, F., de Miguel, C.: An economic wellbeing index for the Spanish provinces: a data envelopment analysis approach. Soc. Indic. Res. 77(3), 395–417 (2006). https://doi.org/10.1007/s11205-005-2613-4Naudé, W., Amorós, J.E., Cisti, O.: Surfeiting, the appetite may sticken: entrepreneurship and happiness. Small Bus. Econ. 42(3), 523–540 (2014)Ng, T.W.H., Feldman, D.C.: Re-examining the relationship between age and voluntary turnover. J. Vocat. Behav. 74(3), 283–294 (2009). https://doi.org/10.1016/j.jvb.2009.01.004O’Connor, A.: A conceptual framework for entrepreneurship education policy: meeting government and economic purposes. J. Bus. Ventur. 28(4), 546–563 (2013). https://doi.org/10.1016/j.jbusvent.2012.07.003Organisation for Economic Co-operation and Development (OECD): OECD guidelines on measuring subjective well-being (2013)Organization for Economic Cooperation and Development: How’s Life? Measuring Wellbeing (2015). http://www.oecdbetterlifeindex.org . Accessed 28 May 2017Orlova, L.V., Sakhabieva, G.A., Vasyaycheva, V.A., Pronina, N.N.: Impact of educational attainment on the development of female entrepreneurship in Kazakhstan. Indian J. Sci. Technol. (2016). https://doi.org/10.17485/ijst/2016/v9i11/89427Osberg, L., Sharpe, A.: An index of economic wellbeing for selected OECD countries. Rev. Income Wealth 5(3), 291–316 (2002). https://doi.org/10.1111/1475-4991.00056Osberg, L., Sharpe, A.: New Estimates of the Index of Economic Wellbeing for Selected OECD Countries, 1980–2007. Centre for the Study of Living Standards, Ottawa (2009)Parasuraman, S., Purohit, Y.S., Godshalk, V.M., Beutell, N.J.: Work and family variables, entrepreneurial career success, and psychological wellbeing. J. Vocat. Behav. 48(3), 275–300 (1996). https://doi.org/10.1006/jvbe.1996.0025Parasuraman, S., & Simmers, C.A.: Type of employment, work–family conflict and well-being: a comparative study. J. Organ. Behav.: Int. J Ind., Occup. Organ. Psychol. Behav. 22(5), 551–568 (2001)Patrick, C., Stephens, H., Weinstein, A.: Where are all the self-employed women? Push and pull factors influencing female labor market decisions. Small Bus. Econ. 46(3), 365–390 (2016). https://doi.org/10.1007/s11187-015-9697-2Poggesi, S., Mari, M., De Vita, L.: What’s new in female entrepreneurship research? Answers from the literature. Int. Entrep. Manag. J. 12(3), 735–764 (2015). https://doi.org/10.1007/s11365-015-0364-5Ragin, C.: The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. University of California Press, Berkeley (1987)Ragin, C.C.: New directions in comparative research. In: Kohn, M.L. (ed.) Cross-National Research in Sociology, pp. 57–76. Sage, Newbury Park (1989)Ragin, C.C.: Fuzzy-Set Social Science. University of Chicago Press, Chicago (2000)Ragin, Charles C., Sonnett, J.: Between complexity and parsimony: limited diversity, counterfactual cases, and comparative analysis. In: Ragin, Charles C. (ed.) Redesigning Social Inquiry. University of Chicago Press, Chicago (2004)Ragin, C.C.: Redesigning Social Inquiry: Fuzzy Sets and Beyond, vol. 240. University of Chicago Pres, Chicago (2008)Rahman, S.A., Amran, A., Ahmad, N.H., Taghizadeh, S.K.: Enhancing the wellbeing of base of the pyramid entrepreneurs through business success: the role of private organizations. Soc. Indic. Res. 127(1), 195–216 (2016). https://doi.org/10.1007/s11205-015-0951-4Renee Baptiste, N.: Tightening the link between employee wellbeing at work and performance. Manag. Decis. 46(2), 284–309 (2008). https://doi.org/10.1108/00251740810854168Rey-Martí, A., Tur Porcar, A., Mas-Tur, A.: Linking female entrepreneurs’ motivation to business survival. J. Bus. Res. 68(4), 810–814 (2015). https://doi.org/10.1016/j.jbusres.2014.11.033Reynolds, P.D., Bygrave, W.D., Autio, E., Cox, L.W., Hay, M.: Global entrepreneurship monitor, 2002 executive report. London (2002)Ribes-Giner, G., Moya-Clemente, I., Cervelló-Royo, R., Perello-Marin, M.R.: Domestic economic and social conditions empowering female entrepreneurship. J. Bus. Res. 89, 182–189 (2018)Ruth Eikhof, D., Summers, J., Carter, S., Eikhof, D.R., Summers, J., Carter, S.: Women doing their own thing: media representations of female entrepreneurship. Int. J. Entrep. Behav. Res. 19(5), 547–564 (2013). https://doi.org/10.1108/IJEBR-09-2011-0107Sampedro Gallego, R., Camarero Rioja, L.: Female entrepreneurs in rural Spain—the failed subject of development. Rev. Int. Sociol. 65(48), 121–146 (2007)Saridakis, G., Marlow, S., Storey, D.J.: Do different factors explain male and female self-employment rates? J. Bus. Ventur. 29(3), 345–362 (2014). https://doi.org/10.1016/j.jbusvent.2013.04.004Shepherd, D.A., Douglas, E.J., Shanley, M.: New venture survival: ignorance, external shocks, and risk reduction strategies. J. Bus. Ventur. 15(5), 393–410 (2000). https://doi.org/10.1016/S0883-9026(98)00008-1Shepherd, D., Haynie, J.M.: Birds of a feather don’t always flock together: identity management in entrepreneurship. J. Bus. Ventur. 24(4), 316–337 (2009). https://doi.org/10.1016/j.jbusvent.2007.10.005Shinnar, R.S., Hsu, D.K., Powell, B.C.: Self-efficacy, entrepreneurial intentions, and gender: assessing the impact of entrepreneurship education longitudinally. Int. J. Manag. Educ. 12(3), 561–570 (2014). https://doi.org/10.1016/j.ijme.2014.09.005Shir, N.: Entrepreneurial Wellbeing: The Payoff Structure of Business Creation. Stockholm School of Economics, Stockholm (2015)Thiem, A., Dusa, A.: QCA: a package for qualitative comparative analysis. R package version 2.0. R J. 5, 87–97 (2013). Retrieved from https://cran.r-project.org/web/packages/QCA/index.htmlTorri, M.M.C., Martinez, A.: Women’s empowerment and micro-entrepreneurship in India: constructing a new development paradigm? Prog. Dev. Stud. 14(1), 31–48 (2014). https://doi.org/10.1177/1464993413504347Tur-Porcar, A., Mas-Tur, A., Belso, J.A.: Barriers to women entrepreneurship. Different methods, different results? Qual. Quant. 51(5), 2019–2034 (2017)Uy, M.A., Foo, M.Der, Song, Z.: Joint effects of prior start-up experience and coping strategies on entrepreneurs’ psychological wellbeing. J. Bus. Ventur. 28(5), 583–597 (2013). https://doi.org/10.1016/j.jbusvent.2012.04.003Uy, M.A., Sun, S., Foo, M.Der: Affect spin, entrepreneurs’ wellbeing, and venture goal progress: the moderating role of goal orientation. J. Bus. Ventur. 32(4), 443–460 (2017). https://doi.org/10.1016/j.jbusvent.2016.12.001Van der Sluis, J., Van Praag, M., Vijverberg, W.: Education and entrepreneurship selection and performance: a review of empirical literature. J. Econ. Surv. 22(5), 795–841 (2008)Verheul, I., Stel, A.Van, Thurik, R.: Explaining female and male entrepreneurship at the country level. Entrep. Reg. Dev. 18(2), 151–183 (2006). https://doi.org/10.1080/08985620500532053Witbooi, M., Ukpere, W.: Indigenous female entrepreneurship: analytical study on access to finance for women entrepreneurs in South Africa. Afr. J. Bus. Manag. 5(14), 5646–5657 (2011)Woodside, A.G., Bernal, P.M., Coduras, A.: The general theory of culture, entrepreneurship, innovation, and quality-of-life: comparing nurturing versus thwarting enterprise start-ups in BRIC, Denmark, Germany, and the United States. Ind. Mark. Manag. (2015). https://doi.org/10.1016/j.indmarman.2015.11.00

    Hepatitis delta infection among persons living with HIV in Europe

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    BACKGROUND AND AIMS: A high prevalence of hepatitis delta virus (HDV) infection, the most severe form of viral hepatitis, has been reported among persons living with HIV (PLWH) in Europe. We analysed data from a large HIV cohort collaboration to characterize HDV epidemiological trends across Europe, as well as its impact on clinical outcomes. METHODS: All PLWH with a positive hepatitis B surface antigen (HBsAg) in the Swiss HIV Cohort Study and EuroSIDA between 1988 and 2019 were tested for anti-HDV antibodies and, if positive, for HDV RNA. Demographic and clinical characteristics at initiation of antiretroviral therapy were compared between HDV-positive and HDV-negative individuals using descriptive statistics. The associations between HDV infection and overall mortality, liver-related mortality as well as hepatocellular carcinoma (HCC) were assessed using cumulative incidence plots and cause-specific multivariable Cox regression. RESULTS: Of 2793 HBsAg-positive participants, 1556 (56%) had stored serum available and were included. The prevalence of HDV coinfection was 15.2% (237/1556, 95% confidence interval [CI]: 13.5%–17.1%) and 66% (132/200) of HDV-positive individuals had active HDV replication. Among persons who inject drugs (PWID), the prevalence of HDV coinfection was 50.5% (182/360, 95% CI: 45.3%–55.7%), with similar estimates across Europe, compared to 4.7% (52/1109, 95% CI: 3.5%–5.9%) among other participants. During a median follow-up of 10.8 years (interquartile range 5.6–17.8), 82 (34.6%) HDV-positive and 265 (20.1%) HDV-negative individuals died. 41.5% (34/82) of deaths were liver-related in HDV-positive individuals compared to 17.7% (47/265) in HDV-negative individuals. HDV infection was associated with overall mortality (adjusted hazard ratio 1.6; 95% CI 1.2–2.1), liver-related death (2.9, 1.6–5.0) and HCC (6.3, 2.5–16.0). CONCLUSION: We found a very high prevalence of hepatitis delta among PWID across Europe. Among PLWH who do not inject drugs, the prevalence was similar to that reported from populations without HIV. HDV coinfection was associated with liver-related mortality and HCC incidence
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