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Oxidation‐etching induced morphology regulation of Cu catalysts for high‐performance electrochemical N2 reduction

Xuqiang Ji, Ting Wang, Qian Liu, Yongsong Luo et al. • EcoMat (2020)

Abstract Renewable‐electricity‐driven N2 reduction is an attractive approach for ambient NH3 synthesis, but active electrocatalysts are needed to enable the N2 reduction reaction. Monolithic electrodes with active components anchored on con...

DOAJ Open Access (DOAJ) DOI: 10.1002/eom2.12026

Classical Biological Control of Invasive Legacy Crop Pests: New Technologies Offer Opportunities to Revisit Old Pest Problems in Perennial Tree Crops

Mark S. Hoddle, Keith Warner, John Steggall, Karen M. Jetter • Insects (2014)

Advances in scientific disciplines that support classical biological control have provided “new tools” that could have important applications for biocontrol programs for some long-established invasive arthropod pests. We suggest that these ...

DOAJ Open Access (DOAJ) DOI: 10.3390/insects6010013

Extracellular vesicles derived from mesenchymal stromal cells mitigate intestinal toxicity in a mouse model of acute radiation syndrome

Alison Accarie, Bruno l’Homme, Mohamed Amine Benadjaoud, Sai Kiang Lim et al. • Stem Cell Research & Therapy (2020)

Abstract Background Human exposure to high doses of radiation resulting in acute radiation syndrome and death can rapidly escalate to a mass casualty catastrophe in the event of nuclear accidents or terrorism. The primary reason is that the...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13287-020-01887-1

Cold storage of human precision-cut lung slices in TiProtec preserves cellular composition and transcriptional responses and enables on-demand mechanistic studies

M. Camila Melo-Narvaez, Fee Gölitz, Eshita Jain, Janine Gote-Schniering et al. • Respiratory Research (2025)

Abstract Background Human precision-cut lung slices (hPCLS) are a unique platform for functional, mechanistic, and drug discovery studies in the field of respiratory research. However, tissue availability, generation, and cultivation time r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12931-025-03132-w

Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction

Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Ahmed Ali Ahmed, Junchao Ma et al. • Scientific Reports (2025)

Abstract Vehicular Ad-Hoc Networks (VANETs) have facilitated the massive exchange of real-time traffic and weather conditions, which have helped prevent collisions, reduce accidents, and road congestions. This can effectively enhance drivin...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-15011-x

SIMULATION OF INFORMATION SECURITY RISKS OF AVAILABILITY OF PROJECT DOCUMENTS BASED ON FUZZY LOGIC

Oleksii M. Shushura, Liudmyla A. Asieieva, Oleksiy L. Nedashkivskiy, Yevhen V. Havrylko et al. • Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska (2022)

The widespread use of computer technology, its rapid development and use in almost all areas of human activity requires constant updating of information security issues. The activities of many enterprises in the field of IT, construction, a...

DOAJ Open Access (DOAJ) DOI: 10.35784/iapgos.3033

Valorisation of agri-food by-products into bioactive compounds: Green extraction, microbial biotransformation and circular biorefinery strategies

Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research (2026)

Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102511

A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments

Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh • Automation (2025)

Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. Traditional tech...

DOAJ Open Access (DOAJ) DOI: 10.3390/automation6020023

FIR-SDE: fast image restoration via mean-reverting stochastic differential equation

Xin Shi, Zhengchao Xu, Sunan Ge, Xueqing Zhao et al. • Complex & Intelligent Systems (2026)

Abstract In computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data...

DOAJ Open Access (DOAJ) DOI: 10.1007/s40747-025-02205-z

Evaluation of noise reduction methods in digital images: Classical filtering vs adaptive learning-based models

Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances (2026)

Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0332993

Understanding transformation tolerant visual object representations in the human brain and convolutional neural networks

Yaoda Xu, Maryam Vaziri-Pashkam • NeuroImage (2022)

Forming transformation-tolerant object representations is critical to high-level primate vision. Despite its significance, many details of tolerance in the human brain remain unknown. Likewise, despite the ability of convolutional neural ne...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.neuroimage.2022.119635

Interpretability-preserving knowledge distillation via multi-granular feature alignment for resource-efficient CNNs

Shiv Singh, Neelu Jyothi Ahuja • Discover Computing (2026)

Abstract The application of deep learning models in resource-constrained environments requires a trade-off among accuracy, efficiency, and interpretability a trilemma frequently neglected in conventional knowledge distillation (KD) approach...

DOAJ Open Access (DOAJ) DOI: 10.1007/s10791-026-10123-y

A Topical Review of Graph Embedding in Graph Neural Networks

Willian Borges De Lemos, Lucas De Angelo Martins Ribeiro, Vanessa Telles Da Silva, Alessandro De Lima Bicho et al. • IEEE Access (2025)

Graph embeddings map graph-structured data into vector spaces for machine learning tasks. In Graph Neural Networks (GNNs), these embeddings are computed through message passing and support tasks such as node classification, link prediction ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3643796

Online exam cheating detection and blockchain trusted deposit based on YOLOv12

Haoliang Wang, Zarina Shukur, Khairul Akram Zainol Ariffin, Renhao Xiao et al. • Scientific Reports (2025)

Abstract In recent years, online examinations have been widely adopted because of their flexibility, but the covert and diverse nature of cheating behaviour poses a serious challenge to the fairness and integrity of examinations. Existing a...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18412-0

Artificial Intelligence and Surgical Decision-making

Tyler John Loftus, Patrick James Tighe, Amanda C. Filiberto, Philip Alexander Efron et al. • JAMA Surgery (2019)

Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...

OPENALEX Open Access DOI: https://doi.org/10.1001/jamasurg.2019.4917 PMC: 7286802

InsDD-YOLO: Detection of Transmission Line Insulator Damage Based on the Improved YOLOv13 Model

Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Ha T. Tran et al. • IEEE Access (2025)

Amidst the rapid global expansion of smart grids, ensuring the safety and reliability of power transmission systems has become paramount. Insulators are critical components of high-voltage transmission lines, providing both electrical insul...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3648259