Low-carbon hydrogen is a promising option for energy security and decarbonization. Cooperation is needed to ensure the widespread use of low-carbon energy. Cooperation among hydrogen supply chain (HSC) agents is essential to overcome the high costs, the lack of infrastructure that needs heavy...

Our research aims to reveal the key social, economic, and other factors behind the common fertility trends of the CEE countries compared to the rest of Europe over the past decades. A panel analysis was conducted to examine the main (social and economic) determinants of the total fertility rate...

In this paper, we propose new linearly convergent second-order methods for minimizing convex quartic polynomials. This framework is applied for designing optimization schemes, which can solve general convex problems satisfying a new condition of quartic regularity. It assumes positive...

In many occupations, having mathematical skills is considered a necessary condition for workers to perform adequately. For the high proportion of low-skilled workers in Brazil, this condition may constitute a barrier to access better jobs and undermine their performance in the labor market. This...

The purpose of this study is to develop an empirical analysis of the influence of several variables in the average proficiency of Brazilian High School students in mathematics - measured by Saeb's results. We aim to investigate the contribution of OBMEP - measured by the prizes by school - and...

We study the structure of isometries of the quadratic Wasserstein space W2(Sn, · )over the sphere endowed with the distance inherited from the norm of Rn+1. We prove that W2(Sn, · )is isometrically rigid, meaning that its isometry group is isomorphic to that of (Sn, · ). This is in striking...

Typically, the inefficiency term in stochastic frontier models is assumed to be positively skewed; however, efficiency scores are biased if this assumption is violated. This paper considers the case in which negative skewness is also allowed in the model. The paper discusses estimation of a...

This study aims to determine the most important component of economic freedom and to rank the performance of countries using multiple criteria decision-making tools within the context of fuzzy set theory. To do so, we utilize a combination of fuzzy entropy weighting and fuzzy technique for order...

The purpose of this study is to develop an empirical analysis of the influence of several variables in the average proficiency of Brazilian High School students in mathematics - measured by Saeb's results. We aim to investigate the contribution of OBMEP - measured by the prizes by school - and...

In many occupations, having mathematical skills is considered a necessary condition for workers to perform adequately. For the high proportion of low-skilled workers in Brazil, this condition may constitute a barrier to access better jobs and undermine their performance in the labor market. This...

At the start of the Coronavirus Disease (COVID-19) vaccination campaign in Mexico, the vaccine was the world's most essential and scarce asset. Managing its administration to optimize its use was, and still is, of paramount importance. However, when the first vaccine was developed at the end of...

Berge equilibrium offers an alternative to Nash equilibrium in game theory, emphasizing cooperative stability rather than individual optimization. Despite recent interest, a systematic study of Berge equilibria in finite normal form games is still lacking, with fundamental questions like...

Financial literacy is an important prerequisite for making informed financial decisions, but it remains low, especially among women and older people. Internalized stereotypes can undermine confidence and subsequently affect behavior in financial matters, leading to suboptimal decisions. This...

We estimate the causal effect of exposure to math during high school on university major choice and performance, using a unique administrative dataset of 1,396 twins extracted from the entire student population enrolled between 2011 and 2021 at an Italian university. We apply a Twin Fixed Effect...

We estimate the causal effect of exposure to math during high school on university major choice and performance, using a unique administrative dataset of 1,396 twins extracted from the entire student population enrolled between 2011 and 2021 at an Italian university. We apply a Twin Fixed Effect...

Teachers' stereotypical assessments widen the gender gap in earnings and formal sector employment after high school graduation, with lasting positive effects for men and shorter-term negative effects for women. Exposure to these assessments throughout high school disproportionately affects...

BRAC has over 40,000 schools worldwide. It is widely praised for serving disadvantaged students and for matching or outperforming government schools. Using data that we collected from Dhaka's slums, we test these claims. We find that BRAC serves the most disadvantaged students in our survey, but...

Self-led educational technologies have the potential to improve student learning at scale, but sustaining student engagement with these platforms remains a challenge. We present results from an experimental evaluation implemented following the scale-up of a math platform in Peru, where primary...

Multi-objective optimization problems (MOPs) are common in real-world applications, including scheduling, vehicle routing, and engineering design. A key challenge in solving MOPs is balancing convergence and diversity, as these problems often involve conflicting objectives and complex...

15% der Menschen in der Schweiz verfügen über geringe Kompetenzen in den Bereichen Lesen, Rechnen und adaptives Problemlösen. Dies entspricht ungefähr 844 000 Personen. Diese Kompetenzen sind jedoch von entscheidender Bedeutung, da sie als Grundlage angesehen werden, die notwendigen...

This Eurydice report offers valuable evidence of how education systems across Europe are working to address underachievement in reading, mathematics and science at primary and lower secondary level. It presents recent policy developments in curriculum and assessment, learning support, teacher...

Stochastic frontier models commonly assume positive skewness for the inefficiency term. However, when this assumption is violated, efficiency scores converge to unity. The potential endogeneity of model regressors introduces another empirical challenge, impeding the identification of causal...

The main goal is to present two investment recommender systems (IRS), by combining clustering, factor analysis, Adaptive Neuro Fuzzy Inference System (ANFIS), and Multimodal Neural Network (MNN). The aim is to merge each method with advanced techniques to improve the precision and efficiency of...

Our purpose in this note is to investigate the order properties of positive operators from a locally convex space into its conjugate dual. We introduce a natural generalization of the Busch-Gudder strength function and we prove Kadison's anti-lattice theorem and Ando's result on the infimum of...

A statisztikában a normális eloszlásnak központi szerepe van. Kutatásunk az alábbi tizenegy normalitásteszt statisztikai erejét vizsgálja: Shapiro–Wilk- (SW-), Shapiro–Francia- (SF-), Filliben- (F-), Kolmogorov–Smirnov- (KS-), Anderson–Darling- (AD-), Kuiper- (K-), Cramér–von...

A társadalmi hálózatok elemzésének módszertanát egyre szélesebb körben alkalmazzák regionális kapcsolatok kialakulásának és fejlődésének modellezésére. Cikkünkben e módszertan, valamint a széleskörűen alkalmazott gravitációs modell segítségével megvizsgáljuk, hogy...

We revise Krein’s extension theory of semi-bounded Hermitian operators by reducing the problem to finding all positive and contractive extensions of the “resolvent operator” (I + T )−1 of T . Our treatment is somewhat simpler and more natural than Krein’s original method which was...