Results 101 to 110 of about 2,962,161 (302)

Efficient Hydroxyl Diffusion Triggers Surface Hydronium Enrichment and Bulk Proton Participation to Boost Alkaline Hydrogen‐Evolving Reaction

Advanced Materials, EarlyView.
For the first time, we shed light on the surface‐to‐bulk diffusion, induction, and reaction behaviors of OH−, H+, and H2O species on model oxides for alkaline hydrogen‐evolving reaction (HER). We first demonstrate that bulk OH− diffusion significantly affects the generation of proton sources and the diffusion/reaction behaviors of protons, thus ...
Daqin Guan, Hengyue Xu, Xiao Sun, Leqi Zhao, Chun‐Kuo Peng, Chao Jing, Yu‐Cheng Huang, Jiayi Tang, Nai Shi, Zezhou Lin, Xiaomin Xu, Zhiwei Hu, Zongping Shao   +12 more
wiley   +1 more source

Fuzzy Sequential Pattern Mining over Quantitative Streams

International Journal of Information and Communication Technology Research, 2019
Sequential pattern mining is an interesting data mining problem with many real-world applications. Though new applications introduce a new form of data called data stream, no study has been reported on mining sequential patterns from the quantitative ...
Omid Shakeri, Manoochehr Kelarestaghi, Farshad Eshghi, Ahmad Ganjtabesh   +3 more
doaj  

GASP: Graph-based Approximate Sequential Pattern Mining for Electronic Health Records. [PDF]

Adv Databases Inf Syst, 2021
Dong W, Lee EW, Hertzberg VS, Simpson RL, Ho JC.   +4 more
europepmc   +1 more source

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

Advanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan, Thomas D. Small, Gregory F. Metha, Mahmoud Adel Hamza, Thomas J. O'Dea, Yideng Shen, Cameron J. Shearer   +6 more
wiley   +1 more source

Discovering sequential patterns and interrelations among multiple diseases in electronic medical records using cSPADE algorithm

Archives of Public Health
Background The intricate relationships between diseases are characterized by the sequence and temporal intervals of their onset, which are critical for understanding the essence of comorbidity and predicting disease progression.
He Ma, Qianxin Huang, Hong Zhang, Hui Song, Bo Zhang, Ying Liu, Lin Zhang   +6 more
doaj   +1 more source

Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study. [PDF]

J Clin Med, 2022
Han JH, Yoon JW, Yook HJ, Bang CH, Chun JH, Lee JY, Park YM, Lee SJ, Lee JH.   +8 more
europepmc   +1 more source

Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]

An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
core  

Incremental mining of temporal patterns in interval-based database

, 2016
In several real-life applications, sequence databases, in general, are updated incrementally with time. Some discovered sequential patterns may be invalidated and some new ones may be introduced by the evolution of the database.
Hui, Lin; Chen, Yi-Cheng; Weng, Julia Tzu-Ya; Lee, Suh-Yin
core   +1 more source

A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]

, 2009
We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark, Gabrys, Bogdan, Mark Eastwood, Bogdan Gabrys, Gabrys, B.   +4 more
core   +1 more source

Characterized Ecoflex Polydimethylsiloxane (PDMS) Hybrids for Advanced Flexible Devices

Advanced Materials Technologies, EarlyView.
Ecoflex–PDMS hybrids are systematically characterized to identify an optimal composition that balances stretchability, optical transparency, and plasma bonding, enabling multifunctional applications in stretchable microfluidics, flexible sensing, and soft robotics.
Xiaoyue Kang, Zhefan Chen, Zhiyang Hong, Wanting Chen, Qingtian Zhang, Amith Mudugamuwa, Tuan‐Khoa Nguyen, Lingxi Ouyang, Nam‐Trung Nguyen, Jun Zhang, Dan Yuan   +10 more
wiley   +1 more source