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    The intersection of education and gender disparities in entrepreneurship: a longitudinal decomposition approach in Russia
    (Emerald, 2026-05-22)
    Purpose This study examines the role of education in explaining and potentially reducing gender disparities in entrepreneurship in Russia, a country with a relatively low gender gap in entrepreneurial activity. The research aims to assess whether educational attainment – particularly women's superior educational outcomes – contributes to narrowing the entrepreneurship gap over time. Design/methodology/approach The analysis uses data from the Russian Longitudinal Monitoring Survey (RLMS-HSE) covering the years 2000–2022. The sample comprises 226,242 observations from 36,227 individuals, of whom 54.8% are women. Gender disparities in entrepreneurship are analyzed using longitudinal decomposition techniques – extensions of the Kitagawa-Oaxaca-Blinder method – allowing for the separation of differences in levels and changes. The models control for sociodemographic characteristics such as age, marital status, number of children, health status, generalized trust, migration background, ethnicity and residency in Moscow or Saint Petersburg. The study differentiates between necessity-driven and opportunity-driven entrepreneurship. Findings The results indicate that education plays a significant role in reducing the gender gap in entrepreneurship in Russia. Women in Russia exhibit higher levels of educational attainment than men, and this educational advantage is associated with a narrowing of the entrepreneurship gap, which remains relatively small. Importantly, education functions as a structural equalizer rather than a short-term dynamic driver of convergence. These findings are robust across both types of entrepreneurship and persist after controlling for other relevant variables. Originality/value This study contributes novel empirical evidence on gender and entrepreneurship in a transition economy by applying longitudinal decomposition techniques to a large, nationally representative dataset. The research highlights the unique case of Russia, where gender parity in entrepreneurship is comparatively high, and underscores the critical role of education in shaping equitable economic outcomes. The findings offer policy-relevant insights for other countries seeking to use education as a lever to promote gender equality in entrepreneurial activity.
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    Near-Bent Boolean Functions Are Insufficient for Correlation-Robust Hashing: A Spectral Obstruction and an Information-Theoretic Frontier
    (MDPI AG, 2026-06-26)
    Oblivious Transfer (OT) extension, in particular, the construction of Ishai, Kilian, Nissim, and Petrank (CRYPTO 2003) requires a hash function H that is correlation-robust(CR). All practical instantiations model H as a random oracle or an ideal cipher, leaving CR with no quantifiable reduction to a structural property of the deployed hash. It is natural to ask whether the most nonlinear balanced Boolean functions available on an odd number of variables, the near-bent functions of the Maiorana–McFarland (MM) class, furnish an algebraic, standard-model CR candidate. We prove that they do not, and we identify precisely why. First, we keep a correct spectral fact: a balanced (Formula presented.) is (Formula presented.) -CR if and only if (Formula presented.), reducing CR to an autocorrelation bound. Against this criterion we establish three obstructions: (i) The MM-doubling family (Formula presented.) on (Formula presented.) variables has autocorrelation supported only on the directions (Formula presented.), where it equals (Formula presented.) with (Formula presented.) ; hence (Formula presented.), a factor (Formula presented.) above the value one would need, and an exhaustive search over all balanced members for (Formula presented.) returns the maximal (Formula presented.) in every case. (ii) Near-bentness controls the Walsh maximum (nonlinearity), not autocorrelation: every near-bent function satisfies (Formula presented.), so (Formula presented.) and no near-bent function is even approximately CR. (iii) A deterministic (Formula presented.) admits the support bound (Formula presented.), so statistical multi-output CR is impossible for (Formula presented.) and in particular at the IKNP regime (Formula presented.). Together, these results close the near-bent route to standard-model CR and clarify which design objective (low absolute indicator, not high nonlinearity) and which parameter regime ( (Formula presented.) ) a viable algebraic candidate would have to target. © 2026 by the author.
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    Determination of the Representative Socioeconomic Level by BSA in the Mexican Republic
    (CEIPA Business School, 2018) ;
    Macedo Ruiz Edith Cecilia
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    ;
    The aim of this article is to determine the socioeconomic level (SEL) with disaggregation of the Basic Statistical Area (BSA) in the Mexican Republic. The methodology used is the one established by the Mexican Association of Market Research Agencies (AMAI) along with the National Institute of Statistics and Geography (INEGI). The Clustering of the BSAs was carried out according to variables contained in the Population and Housing Census of 2010, through Gaussian mixture models, learning neural networks and finally, by defining the labels corresponding to each SEL. We found the existence of a representative SEL for each BSA. In addition, the definition of each socioeconomic level shows good results with an average of 90.86% of correctly labeled elements.
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      25
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      4
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    E-Commerce in the Agri-Food Sector: Identifying Research Gaps and Future Possibilities
    (Universidad de Ciencias Aplicadas Y Ambientales - UDCA, 2026-04-24)
    Lucio-Mendiola, Adriana Yaomy
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    Martínez-González, Enrique Genaro
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    Aguilar-Ávila, Jorge
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    Explainable Glaucoma Screening via Optic Disc Localization and Comparative Class Activation Map-Based Analysis
    (MDPI AG, 2026-06-24)
    Ramos-Soto, Oscar
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    Perez-Zarate, Ezequiel
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    Ramos-Frutos, Jorge
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    Oliva, Diego
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    Pérez-Cisneros, Marco
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    Electronic Voting System Using an Enterprise Blockchain
    (2022)
    Camilo Denis González
    ;
    Daniel Frias Mena
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    Alexi Massó Muñoz
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    Guillermo Sosa-Gómez
    <jats:p>Conventional electronic voting systems use a centralized scheme. A central administration of these systems manages the entire voting process and has partial or total control over the database and the system itself. This creates some problems, accidental or intentional, such as possible manipulation of the database and double voting. Many of these problems have been solved thanks to permissionless blockchain technologies in new voting systems; however, the classic consensus method of such blockchains requires specific computing power during each voting operation. This has a significant impact on power consumption, compromises the efficiency and increases the system latency. However, using a permissioned blockchain improves efficiency and reduces system energy consumption, mainly due to the elimination of the typical consensus protocols used by public blockchains. The use of smart contracts provides a secure mechanism to guarantee the accuracy of the voting result and make the counting procedure public and protected against fraudulent actions, and contributes to preserving the anonymity of the votes. Its adoption in electronic voting systems can help mitigate part of these problems. Therefore, this paper proposes a system that ensures high reliability by applying enterprise blockchain technology to electronic voting, securing the secret ballot. In addition, a flexible network configuration is presented, discussing how the solution addresses some of the security and reliability issues commonly faced by electronic voting system solutions.</jats:p>
      2  14Scopus© Citations 64