Buscador de Tesis y publicaciones académicas

Artículo 2027 Acceso abierto Revisado por pares

A review on hydrogen energy in the transportation sector: progress, challenges, and prospects in aviation, marine, and land

MA Sattar · MA Hosen · Michael Johnstone

A review on hydrogen energy in the transportation sector: progress, challenges, and prospects in aviation, marine, and land

Chemical engineering mechanical engineering Physical chemistry Fluid mechanics and thermal engineering

• Elsevier BV
• English
• DOI: 10.1016/j.fuel.2026.140862

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Artículo 2027 Acceso abierto Revisado por pares

Computing aesthetic taste

Manuel Anglada-Tort · Harin Lee

Recent breakthroughs in computational and experimental techniques have produced major discoveries in the science of aesthetic taste. This paper reviews key findings from two complementary approaches: machine learning and large-scale human experiments. We argue that together these approaches represent a fundamental shif...

humanities and the arts arts

• Elsevier BV
• English
• DOI: 10.1016/j.copsyc.2026.102429

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Artículo 2027 Acceso abierto Revisado por pares

An infinite-dimensional linking theorem with application to a system of coupled Poisson equations

Songo, Ablanvi · Colin, Fabrice

Using the minimax technique from the critical point theory, which consists in constructing or transforming a suitable class of applications such that a critical value $c$ of a functional $f$ can be characterized as a minimax value over this class, we establish a new natural infinite-dimensional linking theorem for stro...

35J05, 35J61, 35J91, 58E05 Analysis of PDEs FOS: Mathematics mathematics

• Elsevier BV
• English
• DOI: 10.1016/j.jmaa.2026.131036

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Artículo 2027 Acceso abierto Revisado por pares

Nodal capacity expansion planning with flexible large-scale load siting

Tomas Valencia Zuluaga · Simon Pang · Jean-Paul Watson

We propose explicitly incorporating large-scale load siting into a stochastic nodal power system capacity expansion planning model that concurrently co-optimizes generation, transmission and storage expansion. The potential operational flexibility of some of these large loads is also taken into account by considering t...

Optimization and Control (math.OC) Optimization and Control FOS: Mathematics engineering and technology

• Elsevier BV
• English
• DOI: 10.1016/j.epsr.2026.113786

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Artículo 2027 Acceso abierto Revisado por pares

Banach-compact operators, A-precompactness, and frames in Hilbert C⁎-modules

Denis Fufaev · Evgenij Troitsky

For a pair of Hilbert $C^*$-modules $\mathcal{M}, \mathcal{N}$ over a $C^*$-algebra $\mathcal{A}$, there are two notions of ``rank-one operators'': $θ_{x,y} : \mathcal{M} \to \mathcal{N}$, $θ_{x,y}(z) = x \langle y, z \rangle$, where $y,z \in \mathcal{M}$, $x \in \mathcal{N}$ (these operators are called elementary $\ma...

Operator Algebras FOS: Mathematics mathematics Operator Algebras (math.OA)

• Elsevier BV
• English
• DOI: 10.1016/j.jmaa.2026.131096

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Artículo 2027 Acceso abierto Revisado por pares

Influence of graphene-based ink formulation on the performance of inkjet-printed electrochemical sensors for detecting water contaminants of emerging concern

Lucía Quintana · Sonia Melendi-Espina · Colin F. Dowding · Patricia Álvarez · y 3 más

Inkjet printing has emerged as a promising approach for the fabrication of low-cost and scalable electrochemical sensors, particularly when carbon-based nanomaterials are used. This study investigates the influence of graphene-based ink formulation on the performance of inkjet-printed sensors designed for the detection...

• Elsevier BV
• United Kingdom
• English
• DOI: 10.1016/j.talanta.2026.130316

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A deep learning framework for multi-operator learning: Architectures and approximation theory

Adrien Weihs · Jingmin Sun · Zecheng Zhang · Hayden Schaeffer

While many problems in machine learning focus on learning mappings between finite-dimensional spaces, scientific applications require approximating mappings between function spaces, i.e., operators. We study the problem of learning collections of operators and provide both theoretical and empirical advances. We disting...

Machine Learning FOS: Computer and information sciences Numerical Analysis FOS: Mathematics

• Elsevier BV
• English
• DOI: 10.1016/j.acha.2026.101925

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Artículo 2027 Acceso abierto Revisado por pares

The benefits of reading narrative fiction

Raymond A. Mar · Rebecca J. Dunk · Lilly H. Shoemaker

The benefits of reading are well-known and have been well-established by research. But does it matter what we read? Are there unique benefits to reading narrative fiction: stories about people, their goals, challenges, emotions, and interactions? Focusing on research published in the past few years, we review the empir...

social sciences psychology and cognitive sciences

• Elsevier BV
• English
• DOI: 10.1016/j.copsyc.2026.102368

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Artículo 2027 Acceso abierto Revisado por pares

Tight paths in fully directed hypergraphs

Devine, Richard C. · Milans, Kevin G.

It is well-known that every tournament has a spanning path. We consider hypergraph analogues. In an \emph{$r$-uniform fully directed hypergraph}, or \emph{$r$-digraph}, every edge is a list or $r$ distinct vertices. An $(r,k)$-tournament is an $r$-digraph $G$ such that for every $r$-set $S$ of vertices in $G$, exactly...

05C35, 05C20, 05C65 Combinatorics FOS: Mathematics computer and information sciences

• Elsevier BV
• English
• DOI: 10.1016/j.disc.2026.115410

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NormasTCU — A Brazilian Portuguese IR dataset and an evaluation of LLM-as-a-judge for relevance assessment

Leandro Carísio Fernandes · Marcus Vinícius Borela de Castro · Leandro dos Santos Ribeiro · Leonardo Augusto da Silva Pacheco · y 1 más

Portuguese Information Retrieval (IR) lacks public datasets, and relevance assessment for specialized collections remains costly. While Large Language Models (LLMs) increasingly support relevance assessment, their reliability in non-English specialized domains remains unclear. We introduce NormasTCU (https://huggingfac...

FOS: Computer and information sciences Information Retrieval Information Retrieval (cs.IR)

• Elsevier BV
• English
• DOI: 10.1016/j.ipm.2026.105151

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