Urine Metabolomic Profiling and Machine Learning in Autism Spectrum Disorder Diagnosis: Toward Precision Treatment. [PDF]
Shazman S+8 more
europepmc +1 more source
Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun+4 more
wiley +1 more source
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin+7 more
wiley +1 more source
Inflammatory activity levels on patients with anti-TNF therapy: most important factors and a decision tree model based on REGISPONSER and RESPONDIA registries. [PDF]
Castro Corredor D+3 more
europepmc +1 more source
Toward Understanding the Stability of Single‐Atom Catalysts in Oxygen Evolution Reactions
Enhancing the stability of single‐atom catalysts for the oxygen evolution reaction hinges on understanding support interactions, local geometry, and structural dynamics. Transitioning to OH‐modified surfaces offers a promising route to cap surface metals and prevent leaching, paving the way for the next generation of stable OER SACs.
Maxwell Tsipoaka, Ali A. Rownaghi
wiley +1 more source
Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images. [PDF]
Jin XL, Li XM, Liu TJ, Zhou LY.
europepmc +1 more source
Exploring Hybrid Electrolytes for Zn Metal Batteries
The recent advance in the design of hybrid electrolytes for Zn metal batteries is comprehensively reviewed, covering their fundamental properties and classification. Moreover, the chemical strategies for the optimization of battery performances are systematically discussed.
Hao Fu+7 more
wiley +1 more source
Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis. [PDF]
Alizade-Harakiyan M+4 more
europepmc +1 more source
US employment exposure to domestic and foreign tariff changes under NAFTA
Abstract Literature examining the effects of changes in trade agreements and import competition on US employment and wages has focused primarily on non‐agricultural industries and changes in US import tariffs. We propose a method for measuring worker exposure to changes in agricultural tariffs using a newly developed county‐level dataset of employment ...
Diane E. Charlton+3 more
wiley +1 more source