Results 161 to 170 of about 5,853,511 (292)

Manifold Learning in Wasserstein Space

SIAM Journal on Mathematical Analysis
This paper aims at building the theoretical foundations for manifold learning algorithms in the space of absolutely continuous probability measures $\mathcal{P}_{\mathrm{a.c.}}(Ω)$ with $Ω$ a compact and convex subset of $\mathbb{R}^d$, metrized with the Wasserstein-2 distance $\mathbb{W}$. We begin by introducing a construction of submanifolds $Λ$ in $
Keaton Hamm, Caroline Moosmüller, Bernhard Schmitzer, Matthew Thorpe   +3 more
openaire   +5 more sources

Implantable Microarray Patch: Engineering at the Nano and Macro Scale for Sustained Therapeutic Release via Synthetic Biodegradable Polymers

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
This review focuses on the application of synthetic biodegradable microarray patches (MAPs) in sustained drug delivery. Compared to conventional MAPs which release drugs into the skin in an immediate manner, these implantable MAPs release drugs into skin microcirculation gradually as the biodegradable polymers degrade, thus offering sustained release ...
Li Zhao, Akmal Hidayat Bin Sabri, Mary B. McGuckin, Linlin Li, Zihao Wang, Eneko Larrañeta, Ryan F. Donnelly   +6 more
wiley   +1 more source

Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning

AIMS Mathematics
Recently, topological data analysis has become a trending topic in data science and engineering. However, the key technique of topological data analysis, i.e., persistent homology, is defined on point cloud data, which does not work directly for data on ...
Zhe Su , Yiying Tong, Guo-Wei Wei
doaj   +1 more source

Printed Interconnects for Heterogeneous Systems Integration on Flexible Substrates

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
Key components (sensors, energy devices, communication devices, computing chips, and interconnects) of flexible hybrid electronic (FHE) system connected via conductive printed metal tracks. The figure in the insets shows out‐of‐plane printed interconnects providing opportunities for lithography‐free formation of VIAs, in‐plane access of UTCs pads, and ...
Abhishek Singh Dahiya, Adamos Christou, Sihang Ma, Ravinder Dahiya   +3 more
wiley   +1 more source

Multiplexed Luminal Tissue Constructs with Reconfigurable Barriers for Dynamic Modeling of Multi‐Tissue Interactions

Advanced Materials Technologies, EarlyView.
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun, José A. Jiménez‐Torres, Chao Li, Jose M. Ayuso, Karina Lugo‐Cintron, Joseph Ulbrich, Benjamin Myers, Sheena C. Kerr, Adeel Ahmed, David J. Beebe   +9 more
wiley   +1 more source

IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation. [PDF]

Neural Comput, 2023
Dyballa L, Zucker SW.
europepmc   +1 more source

Programmable Dimensional Lithography with Digital Micromirror Devices for Multifunctional Microarchitectures

Advanced Materials Technologies, EarlyView.
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee, Byungcheon Yoo, Chaeyeong Ryu, Jongwon Oh, Dahye Baek, Jiseok Lee   +5 more
wiley   +1 more source

A Novel Framework of Manifold Learning Cascade-Clustering for the Informative Frame Selection. [PDF]

Diagnostics (Basel), 2023
Zhang L, Wu L, Wei L, Wu H, Lin Y.
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI. [PDF]

IEEE Trans Med Imaging, 2022
Zou Q, Ahmed AH, Nagpal P, Priya S, Schulte RF, Jacob M.   +5 more
europepmc   +1 more source