Time series clustering and characterization
Among the vast volumes of data generated daily in our modern digital world, time series data represents a major category with broad applicability. Time series data refers to a collection of data points indexed by time, and it has major practical uses in ...
Lie, Rhys
core
Photo‐Switchable Molecular Module Programming PET Biodegradation in Aquatic Environments
We address the plastic durability paradox by integrating an itaconic acid–derived pyrrolidone module into polymer backbones. Sunlight in water triggers Norrish Type I ring‐opening and hydrophilization, enabling rapid biodegradation into nontoxic minerals.
Mohammad Asif Ali +16 more
wiley +1 more source
Corrigendum to 'Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management' [Global Epidemiology 10 (2025) 100214]. [PDF]
Tamakloe MD +3 more
europepmc +1 more source
Photo‐Degradable Polyester Networks and Multi‐Photon Printed Objects Based on Cyclic Ketene Acetals
The current work introduces a photoreversible polyester network derived from radical ring‐opening polymerization of cyclic ketene acetals. It combines photoreversible cross‐linking with initiator‐free multi‐photon printing. Reversible network formation, tunable mechanical properties, and selective degradation highlight its potential as a versatile ...
Till Meissner +5 more
wiley +1 more source
A dynamic customer segmentation approach by combining LRFMS and multivariate time series clustering. [PDF]
Wang S, Sun L, Yu Y.
europepmc +1 more source
An Alhagi maurorum inspired hierarchical composite membrane (NFCu) was developed by integrating heavy metal remediation and solar‐driven interfacial evaporation in a single platform. Beyond the photothermal effect, a localized photocatalytic process is realized on the CuO surface, deepening the mechanistic understanding of light–matter–water ...
Yuqiong He +9 more
wiley +1 more source
Nanomechanical mass measurements through feature-based time series clustering. [PDF]
Neumann AP +4 more
europepmc +1 more source
We investigate size‐dependent CO selectivity on Ag nanoparticles, where optimized Ag loading achieves nearly 100% Faradaic Efficiency for CO at −100 mA·cm−2. In situ SERS and XPS reveal the crucial role of optimized loading in catalytic performance. The Ag/C catalyst further exhibits bifunctional activity, enabling efficient electrolysis of CO2 and ...
Venkata S. R. K. Tandava +16 more
wiley +1 more source
Inspired by metal‐free carbonic anhydrases (CAs) that achieve efficient catalysis without metal cofactors, we herein report a sequence‐defined supramolecular peptoid platform that mimics metal‐free CAs and exhibits hydrolytic activity via a supramolecular assembly‐mediated proton‐transfer mechanism.
Progyateg Chakma +8 more
wiley +1 more source
Investigating Older Adults' Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study. [PDF]
Yoo IJ, Park DH, Lee OE, Park A.
europepmc +1 more source

