Research Radar

Advances in UAV avionics systems architecture, classification and integration: A comprehensive review and future perspectives

Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Domain generalization for rotating machinery fault diagnosis: A survey

230

Beneficial microorganisms: Regulating growth and defense for plant welfare

SummaryBeneficial microorganisms (BMs) promote plant growth and enhance stress resistance. This review summarizes how BMs induce growth promotion by improving nutrient uptake, producing growth‐promoting hormones and stimulating root development. H...

124

Non-fullerene acceptors with high crystallinity and photoluminescence quantum yield enable >20% efficiency organic solar cells

425

Integration of renewable energy sources in tandem with electrolysis: A technology review for green hydrogen production

333

Gender Diversity and Environmental, Social, and Governance: Unlocking Solutions to Corporate Risk

ABSTRACT This study examines the relationship between Environmental, Social, and Governance (ESG) practices and corporate risk in Asian countries, emphasizing the moderating role of board gender diversity (BGD). Using a panel dat...

119

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

505

Resisting the Algorithmic Management of Science: Craft and Community After Generative AI

This essay in honor of ASQ's 70th volume surveys how technology-driven changes in scholarly publishing have introduced algorithmic management to organizational research. The internet greatly reduced the cost of publishing journals and prompted an ...

AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators

The authors’ central premise is that a human–LLM (large language model) hybrid approach leads to efficiency and effectiveness gains in the marketing research process. In qualitative research, they show that LLMs can assist in both data generation ...

149

The power of generative marketing: Can generative AI create superhuman visual marketing content?

177

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

246

ML-powered Internet of Medical Things (MLIoMT) Structure for Heart Disease Prediction

Background ML-powered Internet of Medical Things (MLIoMT) is a burgeoning framework poised to transform healthcare, particularly in the timely identification of heart disease. Objectives This article proposes an innovative MLIoMT structure aimed a...

156

LEVA: Using Large Language Models to Enhance Visual Analytics

Monitoring Terrestrial Ecosystem Resilience Using Earth Observation Data: Identifying Consensus and Limitations Across Metrics

ABSTRACTResilience is a key feature of ecosystem dynamics reflecting a system's ability to resist and recover from environmental perturbations. Slowing down in the rate of recovery has been used as an early‐warning signal for abrupt transitions. R...

Using generative artificial intelligence (GenAI) in marketing: Development and practices

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency

BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers

315

Trends in the global, regional, and national burden of oral conditions from 1990 to 2021: a systematic analysis for the Global Burden of Disease Study 2021

433

Enhanced Photocatalytic Efficiency Through Oxygen Vacancy‐Driven Molecular Epitaxial Growth of Metal–Organic Frameworks on BiVO 4

Abstract Efficient charge separation at the semiconductor/cocatalyst interface is crucial for high‐performance photoelectrodes, as it directly influences the availability of surface charges for solar water ox...

125