Results 151 to 160 of about 57,852 (256)

Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics. [PDF]

Biology (Basel)
Bai H, Ren Y, Wang J, Wang Y, Yang Y.
europepmc   +1 more source

Embedded Ferroelectric Nanoclusters Can Drive Polarization Reversal in a Non‐Ferroelectric Polar Film via the Proximity Effect

Advanced Functional Materials, EarlyView.
Ferroelectric nanoclusters create local internal fields in a normally non‐switchable polar film because of polarization mismatch at their interfaces. That field opposes polarization in the regions with larger polarization and reinforces polarization in the regions with smaller polarization.
Anna N. Morozovska, Eugene A. Eliseev, Sergei V. Kalinin, Long‐Qing Chen, Dean R. Evans, Venkatraman Gopalan   +5 more
wiley   +1 more source

Interpretable Machine Learning for LPR Risk Estimation: A Single-Center Retrospective Case-Control Study. [PDF]

JGH Open
Long C, Li Y, Zhang X, Li J, Hao X, Hua H.   +5 more
europepmc   +1 more source

Tuning Redox Dynamics in Cu‐Based Electrocatalysts: Effect of Secondary Metals

Advanced Functional Materials, EarlyView.
Advanced analysis of operando X‐ray absorption spectroscopy data reveals that secondary metals affect the redox processes in Cu‐based catalysts for electrocatalytic CO2 reduction. This influences the amount of oxides formed under pulsed reaction conditions and the distribution of reaction products.
Martina Rüscher, Andrea Martini, Eduardo Ortega, Lichen Bai, Eric Liberra, Daniel Escalera‐López, Hyo Sang Jeon, Antonia Herzog, Clara Rettenmaier, Dorottya Hursán, David Koshy, Mariana Cecilio de Oliveira Monteiro, Timon Wagner, Leon Jacobse, Felix Haase, Arno Bergmann, Janis Timoshenko, Beatriz Roldan Cuenya   +17 more
wiley   +1 more source

Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer. [PDF]

Front Med (Lausanne)
Meng S, Liu S, Lai M, Li L.
europepmc   +1 more source

Polymer Substrates for Flexible Sensors: Advances and Contributions to Smart Agriculture

Advanced Functional Materials, EarlyView.
This review comprehensively summarizes recent advances in polymer‐based flexible sensors for smart agriculture, focusing on polymer substrate design, interface engineering, and applications in soil, plant, animal, aquaculture, and post‐harvest monitoring.
Yihui Li, Zhangzheng Xiao, Zheng Yan, Adnan Raza Altaf, Qun Song, Dingding Yao, Afshan Sohail, Yixin Wang, Wenxiu Ma, Shanjun Li, Yaohui Chen, Peiwen Liu, Kai Zhang   +12 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

An inflammatory biomarker panel for prediabetes classification using interpretable machine learning. [PDF]

PLoS One
Maalouf M, Tammam M, Kurungadan S, Alsereidi A, Afzal M, Jelinek HF.   +5 more
europepmc   +1 more source

3D Hydrodynamic Flow Lithography

Advanced Functional Materials, EarlyView.
ABSTRACT Continuous‐ and stop‐flow lithography are widely used to fabricate multi‐dimensional microstructures whose cross‐sectional morphology is dictated by the flow profile of multiple co‐flowing streams. Here, we introduce three‐dimensional hydrodynamic flow lithography (3D HFL), a platform for programmable generation of multi‐layered flow profiles ...
Yiying Zou, Mehmet Akif Sahin, Muhammad Zia Ullah Khan, Muhammad Usman Akhtar, Daniel Stoecklein, Ghulam Destgeer   +5 more
wiley   +1 more source

Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach. [PDF]

Diagnostics (Basel)
Guldogan E, Yagin B, Korkmaz Y, Alzakari SA, Alkhalifa AK, Al-Hashem F, Yagin FH.   +6 more
europepmc   +1 more source