Results 121 to 130 of about 28,509 (255)

Negotiating in a Foreign Land: Understanding the Curious Interactions Between Intracellular Mitochondria and Internalized Nanoparticles

Advanced Materials Interfaces, EarlyView.
Therapeutic nano‐drug delivery systems interact with cellular mitochondria in a multitude of ways. While the complexity of such interactions disrupts the mitochondrial electron transport chain and increases reactive oxygen species production, thereby contributing to nanoparticle toxicity, they also present unique theranostic opportunities in diseases ...
Sourav Bhattacharjee
wiley   +1 more source

Manifold learning for fMRI time-varying functional connectivity. [PDF]

Front Hum Neurosci, 2023
Gonzalez-Castillo J, Fernandez IS, Lam KC, Handwerker DA, Pereira F, Bandettini PA.   +5 more
europepmc   +1 more source

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

Advanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel, Bastian Jülich, Anna Rosa Ziefuss, Florian Eibl, Stephan Barcikowski   +4 more
wiley   +1 more source

Application of Non-Sparse Manifold Regularized Multiple Kernel Classifier

Mathematics
Non-sparse multiple kernel learning is efficient but not directly able to be applied in a semi-supervised scenario; therefore, we extend it to semi-supervised learning by using a manifold regularization.
Tao Yang
doaj   +1 more source

Discovering conservation laws using optimal transport and manifold learning. [PDF]

Nat Commun, 2023
Lu PY, Dangovski R, Soljačić M.
europepmc   +1 more source

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

Advanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le, Anh Tuan Trong Tran, Ammara Waheed, Tran Thanh Tung, Dusan Losic   +4 more
wiley   +1 more source

Revealing hidden patterns in deep neural network feature space continuum via manifold learning. [PDF]

Nat Commun, 2023
Islam MT, Zhou Z, Ren H, Khuzani MB, Kapp D, Zou J, Tian L, Liao JC, Xing L.   +8 more
europepmc   +1 more source

Self‐Assembled Calcite Architectures for Programmable Information Storage

Advanced Materials Technologies, EarlyView.
Programmable biomineralization enables the formation of 3D calcite architectures that encode information through spatially defined refractive‐index modulations. Data are written via laser‐directed mineralization, stored in stable voxelized mineral structures, and retrieved non‐destructively through optical diffraction, offering a pathway toward ultra ...
Congrui Jin, Yong Huang, Mehdi Ranjkesh Rashteh Roudi   +2 more
wiley   +1 more source

An Alzheimer's disease category progression sub-grouping analysis using manifold learning on ADNI. [PDF]

Sci Rep, 2023
van der Haar D, Moustafa A, Warren SL, Alashwal H, van Zyl T.   +4 more
europepmc   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source