Buscador de Tesis y publicaciones académicas

Artículo 2027 Acceso abierto Revisado por pares

Workflow abstractions for automatic modularity: Improving workflow code reusability

Marchment, George · Cohen-Boulakia, Sarah · Denise, Alain · Lemoine, Frédéric

Data analysis workflows are central to data-intensive science, while their increasing structural complexity makes understanding and reuse difficult. Large workflow graphs, often composed of hundreds of steps and thousands of data dependencies, can overwhelm users and hinder code exploration. Subworkflows provide a natu...

Subworkflow hierarchy Workflow reuse Scientific workflows medical engineering

• Elsevier BV
• France
• English
• DOI: 10.1016/j.future.2026.108776

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Artículo 2027 Acceso abierto Revisado por pares

Learning reachability of energy storage arbitrage

Tomás Tapia · Agustin Castellano · Enrique Mallada · Yury Dvorkin

Power systems face increasing weather-driven variability and, therefore, increasingly rely on flexible but energy-limited storage resources. Energy storage can buffer this variability, but its value depends on intertemporal decisions under uncertain prices. Without accounting for the future reliability value of stored...

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

• Elsevier BV
• English
• DOI: 10.1016/j.epsr.2026.113582

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Artículo 2027 Acceso abierto Revisado por pares

Vector trifference

Siddharth Bhandari · Abhishek Khetan

We investigate a geometric generalization of trifference, a concept introduced by Elias in 1988 in the study of zero-error channel capacity. In the discrete setting, a code C \subseteq {0,1,2}^n is trifferent if for any three distinct codewords x, y, z in C, there exists a coordinate i in [n] where x_i, y_i, z_i are al...

FOS: Computer and information sciences Discrete Mathematics (cs.DM) Discrete Mathematics Combinatorics

• Elsevier BV
• English
• DOI: 10.1016/j.disc.2026.115398

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Artículo 2027 Acceso abierto Revisado por pares

Corruption via mean field games

Klibanov, Michael V. · Kokurin, Mikhail Yu. · Golubnichiy, Kirill V.

A new mathematical model governing the development of a corrupted hierarchy is derived. This model is based on the Mean Field Games theory. A retrospective problem for that model is considered. From the applied standpoint, this problem amounts to figuring out the past activity of the corrupted hierarchy using the prese...

35R30, 35Q89, 91A16 (Primary) Analysis of PDEs FOS: Mathematics Analysis of PDEs (math.AP)

• Elsevier BV
• English
• DOI: 10.1016/j.jmaa.2026.130997

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Artículo 2027 Acceso abierto Revisado por pares

On the spread of graph-related matrices

Liu, Lele · Fan, Yi-Zheng · Wang, Yi · Wang, Wenyan

The spread of a real symmetric matrix is defined as the difference between its largest and smallest eigenvalue. The study of graph-related matrices has attracted considerable attention, leading to a substantial body of findings. In this paper, we investigate a general spread problem related to $A_α$-matrix of graphs. T...

Combinatorics FOS: Mathematics computer and information sciences Combinatorics (math.CO)

• Elsevier BV
• English
• DOI: 10.1016/j.disc.2026.115413

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Artículo 2027 Acceso abierto Revisado por pares

Generating synthetic citation networks with communities

Łukasz Brzozowski · Marek Gagolewski · Grzegorz Siudem

Generating realistic synthetic citation, patent, or component dependency networks is essential for benchmarking community detection, graph visualisation, and network data mining algorithms. We present a systematic comparison of generators of directed graphs that are nearly acyclic and have a ground-truth community stru...

Social and Information Networks (cs.SI) FOS: Computer and information sciences Digital Libraries social sciences

• Elsevier BV
• English
• DOI: 10.1016/j.ins.2026.124196

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Artículo 2027 Acceso abierto Revisado por pares

Blockchain-powered traceability systems in high value agri-food supply chains: a systematic literature review featuring insights from the olive oil sector

Matilde Reitano · Roberta Selvaggi · Carla Zarba · Marcella Bucca · y 1 más

The olive oil supply chain, faces persistent challenges related to fraud, counterfeiting and lack of transparency, undermining consumer trust and product authenticity. Blockchain technology has emerged as a promising solution to enhance traceability, transparency, and quality assurance. This study examines the adoption...

Food Authenticity Blockchain technology Consumer trust Extra virgin olive oil

• Elsevier BV
• Italy
• English
• DOI: 10.1016/j.foodcont.2026.112521

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Artículo 2027 Acceso abierto Revisado por pares

A transferable methodological framework for using EIA documentation as a data source for sector-level environmental footprinting

Anamarija Grbeš Babić · Anthony Halog

Sector-level environmental assessment of mining is frequently constrained by the limited availability of consistent and publicly accessible operational inventory data. Although Environmental Impact Assessment (EIA) documentation contains detailed engineering information on mining projects, its potential as a source of...

Environmental Impact Assessment greenhouse gas emissions mining mineral resources

• Elsevier BV
• English
• DOI: 10.1016/j.eiar.2026.108730

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Artículo 2027 Acceso abierto Revisado por pares

First detection of a Haemoproteus macrovacuolatus-like parasite in two captive birds of the order Anseriformes: Evidence of atypical morphology

Vitória Loiola, Batista · Luiz Gustavo Magalhães, Alves · Pedro Henrique Oliveira, Pereira · Bruno Péricles Gomes, de Oliveira · y 4 más

Haemosporidians are vector-borne parasites that infect vertebrates and are commonly detected in captive birds, causing infections ranging from mild to severe and may be fatal, especially those involving Plasmodium and Haemoproteus species. Blood samples from 17 Anseriformes, including 15 captive Ruddy Shelduck (Tadorna...

health sciences medical and health sciences

• Elsevier BV
• English
• DOI: 10.1016/j.parint.2026.103340

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Artículo 2027 Acceso abierto Revisado por pares

Multi-scenario decision framework for AI model selection in food visual inspection

Alberto Piovano · Elisa Verna · Nazarena Cela · Luisa Torri · y 2 más

This study addresses the gap between algorithmic performance and manufacturing decision needs in bakery quality control by developing a decision-oriented framework for AI-based visual inspection model selection. Three YOLO object-detection architectures, namely YOLOv5, YOLOv8 and YOLOv11, were benchmarked on a bakery-d...

• Elsevier BV
• Italy
• English
• DOI: 10.1016/j.jfoodeng.2026.113253

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