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Artículo 2026 Acceso abierto Revisado por pares

Entropy-Based Spectrum Sensing for Cognitive Radio Networks Using Machine Learning and Software Defined Radio

Ernesto Cadena Muñoz · Diego Armando Giral · César Hernández Suárez

Efficient spectrum sensing remains a main challenge for Cognitive Radio Networks (CRNs), especially in a wireless environment where methods like energy detection have high uncertainty. This work proposes an entropy-based spectrum-sensing system enhanced with machine-learning algorithms and implemented on a Software-Def...

engineering and technology
  • MDPI AG
  • English
  • DOI: 10.3390/fi18050260
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Artículo 2026 Acceso abierto Revisado por pares 1 cita

Impact of Preoperative Nutritional Status on Postoperative Outcomes of Total Hip and Knee Arthroplasty: A Scoping Review

Mariana Garay-Álvarez · Juanita Fetecua-Chaparro · Paula A. Rodríguez-Molina · Giovanni Rodríguez-Rojas · y 4 más

Background and Objectives: Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are widely performed procedures with high success rates but relevant postoperative complications. Preoperative nutritional status is a key modifiable risk factor influencing surgical outcomes. This study aimed to map and synthesiz...

medical and health sciences clinical medicine
  • MDPI AG
  • English
  • DOI: 10.3390/medicina62050958
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Artículo 2026 Revisado por pares

Beta-tricalcium phosphate and bioactive glass for bone substitution: a review of mechanisms of action, efficacy, and potential clinical applications

Wolmark Xiques-Molina · Katrwin Pérez-Camacho · Johana Galván-Barrios · Juan David Reyes-Duque

Bioactive glass (BAG) and β-tricalcium phosphate (β-TCP) have emerged as promising biomaterials for bone substitution, particularly in the management of osteomyelitis, spondylodiscitis, pseudarthrosis, and prosthetic joint infections. Their osteoconductive, osteostimulatory, and antimicrobial properties have led to the...

medical and health sciences clinical medicine
  • Ovid Technologies (Wolters Kluwer Health)
  • English
  • DOI: 10.1097/bco.0000000000001365
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Artículo 2026 Acceso abierto Revisado por pares

Assessing Rooftop Solar Potential in Unplanned Urban Environments Using LiDAR and Automated GIS Models: Evidence from Cartagena, Colombia

Carlos Castrillón-Ortíz · Manuel Saba · Leydy K. Torres Gil · Oscar E. Coronado-Hernández · y 1 más

Rooftop photovoltaic (PV) potential assessments have advanced significantly through high-resolution geospatial methods. However, most studies remain focused on well-planned urban environments and primarily consider geometric or radiative factors, often neglecting material constraints and deployment realism in heterogen...

other engineering and technologies engineering and technology
  • MDPI AG
  • English
  • DOI: 10.3390/pr14101592
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Artículo 2026 Revisado por pares

Competing Reactions in Quenching and Partitioning Steels: A Review of Models, Modifications, and Predictive Strategies

Luis David Morales Aguilar · Oscar Eduardo Ríos Diez · Ricardo Emilio Aristizábal Sierra

The quenching and partitioning (Q&P) process has emerged as a key heat treatment in developing the third generation of advanced high‐strength steels (AHSS 3rd Gen). The Q&P approach aims to generate microstructures with retained austenite, which can be stabilized by carbon enrichment during the partition step in order...

materials engineering engineering and technology
  • Wiley
  • English
  • DOI: 10.1002/srin.70518
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Artículo 2026 Acceso abierto Revisado por pares

Advances in Coffee Drying: A Comprehensive Review of Traditional, Solar, Mechanical, Hybrid, and Emerging Methods

Eduardo Duque-Dussán · Paula A. Figueroa-Varela · Valentina Cruz-Ospina · Jan Banout

Drying is a critical stage in the postharvest chain, shaping product stability, quality, and economic value. Freshly harvested beans contain high moisture, and inadequate drying can lead to microbial growth, physical deterioration, and loss of key sensory attributes. In recent decades, diverse technologies have been de...

agricultural and veterinary sciences other agricultural sciences
  • MDPI AG
  • English
  • DOI: 10.3390/foods15101737
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Artículo 2026 Acceso abierto Revisado por pares

Profile of severe maternal morbidity cases by nationality in Colombia: analysis of national surveillance data, 2021

John Camilo Garcia Uribe · Aníbal Arteaga Noriega · Ana Maria Zuleta · Paula Andrea Serna

Severe maternal morbidity (SMM) surveillance data allow characterization of critical obstetric events. Evidence on SMM case profiles among foreign vs. Colombian women in Colombia remains limited. This study aims to To compare sociodemographic and clinical characteristics among women notified as severe maternal morbidit...

medical and health sciences clinical medicine
  • Frontiers Media SA
  • DOI: 10.3389/fgwh.2026.1746675
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Artículo 2026 Acceso abierto Revisado por pares

Systemic Inflammation and its association with functional impairment and mortality in patients with disease-related malnutrition: findings from the AFEDIN cohort

Alfonso Vidal-Casariego · Samara Palma Milla · Juan José López Gómez · José Manuel García Almeida · y 10 más

Introduction The Global Leadership Initiative on Malnutrition (GLIM) framework incorporates inflammation as a key etiologic criterion for diagnosing disease-related malnutrition (DRM), yet the clinical implications of systemic inflammation, particularly as quantified by C-reactive protein (CRP), remain insufficiently c...

health sciences medical and health sciences
  • Frontiers Media SA
  • DOI: 10.3389/fnut.2026.1771862
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Artículo 2026 Acceso abierto Revisado por pares

Variational decision diagrams for quantum-inspired machine-learning applications

Vladimir Vargas-Calderón · Santiago Acevedo-Mancera · Herbert Vinck-Posada

Decision diagrams (DDs) have emerged as an efficient tool for simulating quantum circuits due to their capacity to exploit data redundancies in quantum states and quantum operations, enabling the efficient computation of probability amplitudes. However, their application in quantum machine learning (QML) has remained u...

Machine Learning FOS: Computer and information sciences Quantum Physics FOS: Physical sciences
  • American Physical Society (APS)
  • English
  • DOI: 10.1103/wfkx-5k1p
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Publication 2026 Acceso abierto

Brasiloniscus obscurus Borja-Arrieta & López-Orozco & Carpio-Díaz & Campos-Filho 2026, comb. nov.

Borja-Arrieta, Ricardo · López-Orozco, Carlos Mario · Carpio-Díaz, Yesenia M. · Campos-Filho, Ivanklin Soares

Brasiloniscus obscurus (Lemos de Castro, 1973), comb. nov. (Figs. 1 and 2) Pudeoniscus obscurus Lemos de Castro, 1973: 4–6, Figs. 1–2; Campos-Filho et al. 2018a: 25; Campos-Filho et al. 2018b: 463–467, Figs. 2 –5, 14. Material examined. Brazil, Estação Biológica de Boraceia, Salesópolis, São Paulo, 23°38’12.65”S; 45°56...

biological sciences Brasiloniscus obscurus Arthropoda Brasiloniscus
  • Zenodo
  • DOI: 10.5281/zenodo.21178081
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Resultados provistos por OpenAIRE, la infraestructura europea de ciencia abierta. Tesis y Másters Colombia no aloja ni distribuye estos documentos: cada enlace lleva al repositorio de origen.

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