We developed an indicator-free, dual-mode glucose monitoring platform by synthesizing glucose oxidase (GOX)-templated MnO2 nanosheets via a microwave-assisted static biomineralization strategy. This approach preserves the enzyme's native activity and... read more
Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer remains limited. Here we apply a machine learning-based prediction model of insulin resistance with nin... read more
Forest management influences key ecosystem services essential for societal well-being. However, how these human management activities affect forest resilience under different environmental conditions remains poorly understood. This study investigates... read more
Freshwater fishes are among the most threatened taxa, yet conservation assessments remain incomplete for many species. Freshwater fishes provide essential ecosystem services such as food security, recreational opportunities, and cultural significance... read more
Estimation of exposure-response association is central to epidemiologic research. Although the advantages of machine learning (ML) techniques for modeling complex relationships are well-recognized, their use in epidemiologic studies are limited mainl... read more
This comprehensive study demonstrates an advanced machine learning framework for distinguishing identical twins using facial skin marks, achieving 96.62% cross-validation accuracy and 90.6% AUC score. The methodology incorporates four distinct hyperp... read more
Deep learning-based Organ-at-Risk (OAR) and tumor segmentation is vital for radiation therapy planning but often suffers from over-parameterization, requiring large datasets to avoid overfitting, which is impractical in small-sample medical settings.... read more
Corrosion significantly degrades the seismic performance of reinforced concrete (RC) columns, yet assessment methods often rely on idealized backbone models or datasets with limited diversity, which reduces general applicability. This study develops ... read more
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