Journal of the science of food and agriculture
Mar 9, 2026
BACKGROUND: Artificial neural network (ANN) models have become essential for precise predictions and improving engineering systems. This study investigated the effects of air velocity (2.0, 3.0, and 4.0 m s-1), grain flow rate (5.5, 7.0, and 8.5 kg m... read more
Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to ... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 9, 2026
Tumorigenesis can be induced by diverse environmental carcinogens, with mercury (Hg)-a global pollutant that accumulates in humans throughout life, crosses the blood-brain and placental barriers, and is poorly excreted-classified as a Group 2B carcin... read more
MOTIVATION: Hydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique used to investigate protein conformational ensembles. The growing popularity and utility of HX-MS has driven the development of diverse instrumentation... read more
Deep reactive ion etching (DRIE) is critical for fabricating high-aspect-ratio structures in microelectromechanical systems (MEMS), yet its complex, parameter-dependent process poses significant optimization challenges. Artificial intelligence (AI) o... read more
Artificial intelligence (AI) is increasingly used in mental health, yet its rehabilitation-oriented applications in schizophrenia have not been systematically mapped. We conducted a systematic scoping review of PubMed, Web of Science, IEEE Xplore and... read more
Robotic systems are increasingly common in strictly controlled environments (e.g. warehouses), but they have yet to fully integrate into our everyday lives. Everyday scenarios are a challenge for robot controllers due to disturbances that can be caus... read more
The reliability of artificial intelligence hinges on the integrity of its training data, a foundation often compromised by noise and corruption. Here, through a comparative study of classical and quantum neural networks on both classical and quantum ... read more
Developing short, stable, and potent antimicrobial peptides is a promising strategy to combat antibiotic resistance and persistence. We present CAMPER (Constraint-driven AMP Engineering with Ranking), a mechanistic artificial intelligence framework t... read more
Fine-scale near-surface wind field prediction is essential for a wide range of applications. However, most operational and AI-based weather models operate at kilometer-scale resolution, where terrain-induced wind features such as slope jets, flow def... read more
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