Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction. [PDF]
Li C +5 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Environmental Action-Based Learning for Sustainability Competencies: EMKONTAN Model on Environmental Literacy, Creative Thinking, and Collaboration among Pre-Service Biology Teachers. [PDF]
Nurwidodo N, Hindun I, Husamah H.
europepmc +1 more source
Meaningful Learning Model for Bible Learning
openaire +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
From exception to insight: a phenomenological study of quality managers' perspectives on the individual appeals in the National Healthcare Quality Program. [PDF]
Awawdi K +3 more
europepmc +1 more source
Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi +15 more
wiley +1 more source
Patient and Public Involvement (PPI) in lab-based research. What is the added value? Reflections from a researcher and public contributor perspective. [PDF]
Hatch S, Formosa N.
europepmc +1 more source
Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data. [PDF]
Ventura VDGJ +11 more
europepmc +1 more source

