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Deep learning analysis for enhanced prediction of heat transfer in Maxwell hybrid nanofluids with non-Fourier law and radiation effects

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Deep learning analysis for enhanced prediction of heat transfer in Maxwell hybrid nanofluids with non-Fourier law and radiation effects

Norah Salem Alsaiar et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Nanofluids have emerged as promising heat transfer media due to their superior thermal performance associated to conventional fluids, yet their behavior under mutual impacts of radiation, heat source/sink, and m...

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Enhancing Subsurface Thermal Structures Reconstruction via a Dual-Branch Framework Integrating Surface Remote Sensing and Model-Predicted Upper-Layer Fields

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Enhancing Subsurface Thermal Structures Reconstruction via a Dual-Branch Framework Integrating Surface Remote Sensing and Model-Predicted Upper-Layer Fields

Chaojie Zhou et al · IEEE · 2026 · ISSN 1939-1404

Driven by satellite remote sensing observations, deep learning models provide a promising solution for the rapid estimation of subsurface thermohaline structures. By learning from large-scale paired surface–subsur...

LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng

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Multi-to-uni modal knowledge transfer pre-training for molecular representation learning

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Multi-to-uni modal knowledge transfer pre-training for molecular representation learning

Zhankun Xiong et al · Nature Portfolio · 2026 · ISSN 2041-1723

Abstract The pre-training molecular representation learning (MRL) has shown considerable potential in computer-aided drug discovery. Recently, many multimodal pre-training MRL methods have been presented, incorporating m...

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Surgeons’ Perceptions on the Utility of a Conceptual Novel Force Sensor at the Surgeon-Tool Interface: Formative Interview Study

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Surgeons’ Perceptions on the Utility of a Conceptual Novel Force Sensor at the Surgeon-Tool Interface: Formative Interview Study

Bennet Mühlenbeck et al · JMIR Publications · 2026 · ISSN 2561-326X

Abstract BackgroundReal-time force feedback is essential in many surgical specialties. While previous research has focused on force measured at the tool-tissue interface, little work has explored the benefits...

LCC LCC:MedicineIdioma eng

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AID-RT: Standardising Artificial Intelligence Documentation in RadioTherapy with a domain-specific model card

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AID-RT: Standardising Artificial Intelligence Documentation in RadioTherapy with a domain-specific model card

Ana M. Barragán-Montero et al · Elsevier · 2026 · ISSN 2405-6316

Background and Purpose: Insufficient documentation of artificial intelligence (AI) models remains a widespread issue, which hampers reproducibility in research environments and safe integration in clinical departments. O...

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ARTIFICIAL INTELLIGENCE IN EDUCATION: CHALLENGES AND OPPORTUNITIES FOR THE FUTURE

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ARTIFICIAL INTELLIGENCE IN EDUCATION: CHALLENGES AND OPPORTUNITIES FOR THE FUTURE

PĂTRAȘCU AURELIA · Academica Brâncuşi · 2026 · ISSN 1844-7007

In the context of accelerated technological development, education systems are increasingly influenced by digital transformation and data-driven innovations. Among these, artificial intelligence has emerged as a strate...

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Detecção e contagem de flores de calêndula usando imagens de drone e YOLOv8 em ambientes complexos

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Detecção e contagem de flores de calêndula usando imagens de drone e YOLOv8 em ambientes complexos

Thiago Orlando Costa Barboza et al · Sociedade Brasileira de Floricultura e Plantas Ornamentais · 2026 · ISSN 2447-536X

The manual counting of marigold (Calendula officinalis L.) flowers is a labor-intensive task that compromises the accuracy of yield estimates and optimal harvest timing, especially in large-scale fields to know the harve...

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Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects

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Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects

Tugba Akinci D’Antonoli et al · Turkish Society of Radiology · 2026 · ISSN 1305-3825

Foundation models (FMs) represent a significant evolution in artificial intelligence (AI), impacting diverse fields. Within radiology, this evolution offers greater adaptability, multimodal integration, and improved gene...

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Incorporating a human parasite virtual reality experience into a tertiary microbiology teaching curriculum increases student engagement and learning outcomes

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Incorporating a human parasite virtual reality experience into a tertiary microbiology teaching curriculum increases student engagement and learning outcomes

Manon Reist et al · American Society for Microbiology · 2026 · ISSN 1935-7877

ABSTRACT Microbiology, the study of microorganisms, is of critical importance to a variety of fields, including medicine, nursing, genetics, and immunology, as well as to students training to enter those fields. By defin...

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Physics-Constrained Spatio-Temporal Attention FusionGAN: End-to-End Gridded Sea Surface Wind Fusion Over China Seas From Multimission GNSS-R Observations

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Physics-Constrained Spatio-Temporal Attention FusionGAN: End-to-End Gridded Sea Surface Wind Fusion Over China Seas From Multimission GNSS-R Observations

Xiaohui Li et al · IEEE · 2026 · ISSN 1939-1404

To fully exploit the advantages of GNSS-R small satellites (large quantity, short revisit cycle) and address key challenges of multisource GNSS-R data—track-wise distribution, uneven spatial coverage, and observat...

LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng

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