Infrared (IR) spectroscopy is a fundamental tool for molecular identification and characterization, yet comprehensive IR spectral databases remain limited, particularly for small organic molecules with well-defined theoretical baselines. Here we intr... read more
Neural networks (NNs) have received growing interest in engineering due to their ability to assimilate high-dimensional data and provide accurate approximations for complex systems. Nonetheless, classical numerical methods remain the benchmark for re... read more
The synthesis of chiral amines is crucial since they are a key component in nearly 40% of top-selling drugs. ω-transaminases are promising biocatalysts for producing these chiral amines. This study reports the isolation of a wild-type Bacillus strain... read more
Understanding the neural coding and association of visual and language information benefits from the development of deep learning models and the collection of massive datasets with extensive sampling of brain activity. Large-scale functional magnetic... read more
Intertwining supply chains integrates the corresponding networks across several intersection points, such as suppliers, manufacturers, and transporters, resulting in higher viability and efficiency. Nonetheless, no formulation has been proposed for i... read more
An increasing amount of online news content in digital journalism leads to novel and complicated issues regarding its classification and organisation. Systems that automate operational tasks can provide numerous advantages over systems that manually ... read more
Birth trauma remains a significant global health challenge and contributes substantially to neonatal morbidity and mortality. Although machine learning (ML) approaches have shown promise in predicting birth trauma, persistent limitations related to c... read more
This article presents an empirical evaluation of six state-of-the-art large language models for grading student assignments in a university-level course on data analytics and machine learning. The study compares the ability of the models to generate ... read more
Traditional agricultural plant protection primarily relies on manual labor and indiscriminate chemical spraying, resulting in inefficiency, increased cost, and environmental pollution. The advancement of precision agriculture is impeded by three pers... read more
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