Integrated Fault Tree and Case Analysis for Equipment Conventional Fault IETM Diagnosis. [PDF]
Wu J +6 more
europepmc +1 more source
Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma +11 more
wiley +1 more source
Fault Tree Reliability Analysis via Squarefree Polynomials: Mathematical and Experimental Analysis. [PDF]
Lopuhaä-Zwakenberg M.
europepmc +1 more source
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
Classification of time series using information granules for efficient detection of unmanned aerial vehicles faults. [PDF]
Kiersztyn A +12 more
europepmc +1 more source
Catechol Derivative‐Based Bioadhesives: Molecular Design for Precision Medical Adhesion
This study utilizes tree‐inspired side‐chain engineering to graft five catechol derivatives onto PVA, systematically revealing how side‐chain length and substituents regulate adhesion and cohesion properties. Among them, the PVA‐CA patch demonstrates superior tissue adhesion, biocompatibility, and promotes regeneration, establishing a programmable ...
Xueyu Wang +8 more
wiley +1 more source
Hierarchical Fuzzy Adaptive Observer-Based Fault-Tolerant Consensus Tracking for High-Order Nonlinear Multi-Agent Systems Under Actuator and Sensor Faults. [PDF]
Zhao L, Chen S.
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
Effectiveness of supervised machine learning models for electrical fault detection in solar PV systems. [PDF]
Khandeparkar V, Shreshtha, Ramu SK.
europepmc +1 more source
Backbone agnostic Pareto evidential networks for trustworthy fault diagnosis and out of distribution detection. [PDF]
Shi J, Tang M, Tan L.
europepmc +1 more source

