Results 181 to 190 of about 25,851 (312)

Current Collector Engineering for New Efficient Bioresorbable Sodium‐Ion Batteries

Advanced Science, EarlyView.
A bioresorbable Na‐ion battery is proposed with Mo or Mg thin‐film current collectors for temporary implants. Mo‐based batteries exhibit superior electrochemical performance and stable cycling compared with Mg counterparts. XPS was used to investigate the Mo/Mg surface oxidation.
Bincy Lathakumary Vijayan, Eleonora Vandini, Vedi Kuyil Azhagan Muniraj, Hussien Hammoud, Oussama Jamai, Eve Djenizian, Marc Ramuz, Daniela Giuliani, Manuela Zavatti, Yann Tison, Hervé Martinez, Lucas Teolis, Esma Ismailova, David Moreau, Sébastien Maria, Thierry Djenizian   +15 more
wiley   +1 more source

Analysis of sleep patterns among clinical nurses: a latent profile and association rule mining approach. [PDF]

BMC Nurs
Wei N, Hu L, Li J, Chu J.
europepmc   +1 more source

Ergonomic Sponge Electrodes From Recycled PEDOT:PSS

Advanced Electronic Materials, EarlyView.
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos, Wei‐Ting Ting, Susanne Thümmler, Esma Ismailova   +3 more
wiley   +1 more source

Association rule mining of occupational participation among the South Korean elderly by gender. [PDF]

Medicine (Baltimore)
Kwon HI, Choi SY, Jeon BJ, Jang JS.
europepmc   +1 more source

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

, 2012
[[abstract]]Machine-learning and data-mining techniques have been developed to turn data into useful task-oriented knowledge. Most algorithms for mining association rules identify relationships among transactions using binary values and find rules at a ...
Lin, Kuei-Ying, Chen, Been-Chian, Hong, Tzung-Pei   +2 more
core  

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Analyzing multidrug resistance patterns across the food supply chain using association rule mining. [PDF]

Prev Vet Med
Glass JC, Anil G, Zehr JD, Ceres KM, Goodman LB, Cazer CL.   +5 more
europepmc   +1 more source

Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method. [PDF]

Sci Rep, 2023
Pirmoradi S, Hosseiniyan Khatibi SM, Zununi Vahed S, Homaei Rad H, Khamaneh AM, Akbarpour Z, Seyedrezazadeh E, Teshnehlab M, Chapman KR, Ansarin K.   +9 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

An integrated analysis method for critical human factors and paths in hazardous chemical storage accidents based on association rule mining and bayesian networks. [PDF]

PLoS One
Ma S, Jiang W.
europepmc   +1 more source