Results 151 to 160 of about 43,499 (308)

Copolymer Synthesis of N‐Vinylacetamide and 2‐Methylene‐1,3‐Dioxepane Provides a New Degradable Polymer

open access: yesJournal of Polymer Science, Volume 63, Issue 6, Page 1306-1318, 15 March 2025.
ABSTRACT N‐vinylamides, especially noncyclic N‐vinylacetamide (NVA), have been used in various applications such as biomaterials, surfactants, and hydrogels. However, their potential to copolymerize with cyclic ketene acetal (CKA) to create degradable polymers is underexplored.
Mukmin Sapto Pamungkas   +2 more
wiley   +1 more source

Permafrost Terrain Disturbance Susceptibility in the Nacho Nyäk Tagé (Stewart River) Watershed, Yukon, Canada

open access: yesPermafrost and Periglacial Processes, EarlyView.
ABSTRACT The Nacho Nyäk Tagé (Stewart River) watershed in central Yukon (Canada) is characterized by discontinuous permafrost that is locally highly sensitive to thaw. This study aims to map the spatial distribution of permafrost terrain disturbances (PTDs) in the watershed and model thaw susceptibility to support community‐led land‐use planning by the
Frederic Brieger   +2 more
wiley   +1 more source

Cluster Kernel For Learning Similarities Between Symmetric Positive Definite Matrix Time Series

open access: green, 2020
Sara Akodad   +3 more
openalex   +2 more sources

Algebraic Approach to Maximum Likelihood Factor Analysis. [PDF]

open access: yesPsychometrika
Fukasaku R   +3 more
europepmc   +1 more source

Negative Stiffness Induced and Controlled by Constriction

open access: yesphysica status solidi (b), EarlyView.
Structures with negative stiffness can be stabilized by constriction of external displacement. Furthermore, constriction can make a conventional positive stiffness material exhibit negative stiffness, either bidirectional or unidirectional (shown in the figure).
Elena Pasternak, Arcady V. Dyskin
wiley   +1 more source

Loss Behavior in Supervised Learning With Entangled States

open access: yesAdvanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl   +4 more
wiley   +1 more source

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