Results 161 to 170 of about 10,460 (262)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Applying fault tree analysis to the prevention of wrong-site surgery. [PDF]
Abecassis ZA +5 more
europepmc +1 more source
This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen +8 more
wiley +1 more source
A transformer-XGBoost based model to fault diagnosis for CPR1000. [PDF]
Peng Z +6 more
europepmc +1 more source
This study investigates the genetic and microbial factors influencing the susceptibility of Diaphorina citri to the citrus greening pathogen Candidatus Liberibacter asiaticus (CLas), employing a microbiome Genome Wide Association Study. The research identifies a key gene encoding an MFS‐type transporter contributing to CLas infectivity and abundance in
Kai Liu +12 more
wiley +1 more source
Subway door fault prediction employing stacking ensemble learning. [PDF]
Song H +5 more
europepmc +1 more source
Coupled Above‐ and Belowground Ecosystem Stability Worldwide
Are the worlds above and below our feet in sync? This global exploration reveals an entangled fate between above‐ and belowground ecosystem stability. It identifies arid regions as hotspots for this coupling and highlights temperature stability as a vital safeguard for maintaining ecosystem balance across our warming planet.
Zexin Meng +18 more
wiley +1 more source
AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery-systematic review. [PDF]
Marín Vásquez ME +3 more
europepmc +1 more source
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao +18 more
wiley +1 more source
A novel approach to managing uncertainty in risk assessment using integrated z-numbers and intuitionistic fuzzy sets: A case study on LPG spherical tanks. [PDF]
Aliabadi MM +3 more
europepmc +1 more source

