Results 141 to 150 of about 26,804 (294)
Integrating Nonlinear Graph Based Dimensionality Reduction Schemes with SVMs for Credit Rating Forecasting [PDF]
[[abstract]]By integrating graph based nonlinear dimensionality reduction with support vector machines (SVMs), this study develops a novel prediction model for credit ratings forecasting.
Shian-Chang Huang
core
Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals
Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi +13 more
wiley +1 more source
A migration‐permissive bioink composed of methacrylated collagen type I and thiolated hyaluronic acid enables 3D bioprinting of breast cancer‐stroma models. Single‐cell tracking reveals that adipose stromal cells enhance tumor cell motility and stromal invasion, accompanied by collagen remodeling, and a shift in tumor cell morphology.
Sabrina Stecher +19 more
wiley +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Nanoemulsion delivery of a TLR7 agonist enhances safety and promotes colocalization with Leishmania‐infected macrophages in skin lesions, enabling a ∼2‐log reduction in parasite burden. However, tissue‐level constraints and TLR‐driven regulatory feedback generate a mixed immune response that limits complete parasite clearance.
Carmen Palomino‐Cano +11 more
wiley +1 more source
Novel Approaches to Neighborhood Selection for Nonlinear Dimensionality Reduction. [PDF]
This thesis is on improving the nonlinear dimensionality reduction techniques using a better approach for neighborhood selection and thereby improving classification and clustering processes.1.1 Motivation Most real datasets have very high dimensions ...
Roy, Shankhadeep
core
Lymphotropic nanoplatforms integrate multimodal imaging with therapeutic guidance to map sentinel and tumor‐draining lymph nodes, revealing functional drainage, metastatic involvement, and nodal accessibility, while providing mechanistic insight to support precision surgical and therapeutic interventions.
Xu Chen +7 more
wiley +1 more source
Global versus local methods in nonlinear dimensionality reduction [PDF]
Recently proposed algorithms for nonlinear dimensionality reduction fall broadly into two categories which have different advantages and disadvantages: global (Isomap [1]), and local (Locally Linear Embedding [2], Laplacian Eigenmaps [3]). We present two
Joshua B. Tenenbaum, Vin De Silva
core
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
Due to the wide range of processes impacting the sea surface height (SSH) on daily‐to‐interannual timescales, SSH forecasts are hampered by numerous sources of uncertainty.
Andrew E. Brettin +2 more
doaj +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source

