Results 81 to 90 of about 176,297 (354)
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections [PDF]
In this paper, we propose a novel low-tubal-rank tensor recovery model, which directly constrains the tubal rank prior for effectively removing the mixed Gaussian and sparse noise in hyperspectral images. The constraints of tubal-rank and sparsity can govern the solution of the denoised tensor in the recovery procedure.
arxiv
NeoCast is a next‐generation, solvent‐free, non‐adhesive liquid embolic designed for indications where deep occlusion is desired (e.g., tumors and chronic subdural hematoma). This novel agent offers ideal embolic properties: injectability, controllability, excellent visibility, and biocompatibility.
Quynh P. Pham+16 more
wiley +1 more source
Study of biosocial factors affecting laparoscopic tubal ligation in rural Maharashtra, India [PDF]
Background: As compared to vasectomy, Indian women prefer female sterilization as the best mode sterilization. Many socio-demographic factors and gender of living children affects women in deciding laparoscopic tubal ligation.Objective of the study was ...
Bhanap, Prasad L.+3 more
core +2 more sources
Engineering the Future of Restorative Clinical Peripheral Nerve Surgery
What if damaged nerves could regenerate more effectively? This review unveils cutting‐edge strategies to restore nerve function, from biomaterial scaffolds and bioactive molecules to living engineered tissues. By accelerating axonal regrowth, preserving Schwann cells, and enhancing connectivity, these approaches are reshaping nerve repair—offering new ...
Justin C. Burrell+5 more
wiley +1 more source
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm [PDF]
Data missing is an common issue in seismic data, and many methods have been proposed to solve it. In this paper, we present the low-tubal-rank tensor model and a novel tensor completion algorithm to recover 3D seismic data. This is a fast iterative algorithm, called Tubal-Alt-Min which completes our 3D seismic data by exploiting the low-tubal-rank ...
arxiv
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm [PDF]
In this paper, we investigate tensor recovery problems within the tensor singular value decomposition (t-SVD) framework. We propose the partial sum of the tubal nuclear norm (PSTNN) of a tensor. The PSTNN is a surrogate of the tensor tubal multi-rank.
arxiv +1 more source
Volumetric muscle loss (VML) due to trauma or surgery, often leads to physical impairments. Traditional treatments rely on autologous flaps, limited by muscle availability often leading to donor site morbidity. This study presents multimodal bioprinting as an innovative approach for fabricating vascularized muscle flaps with 3D‐printed macrovessels ...
Eliana O. Fischer+8 more
wiley +1 more source
A) SLM generates biomimetic bone scaffolds with consistent porosity but varying TPMS‐Gyroid unit cell designs (TG15, TG20, TG25, TG30). B) By enhancing the expression of ITGB1, TPMS‐Gyroid scaffolds can facilitate osteogenic differentiation in BMSCs and promote M2 polarization in macrophages.
Jing Wang+9 more
wiley +1 more source
Tensor Completion via a Low-Rank Approximation Pursuit [PDF]
This paper considers the completion problem for a tensor (also referred to as a multidimensional array) from limited sampling. Our greedy method is based on extending the low-rank approximation pursuit (LRAP) method for matrix completions to tensor completions.
arxiv
Prevalence and diagnosis of congenital uterine anomalies in women with reproductive failure: a critical appraisal [PDF]
BACKGROUND: The prevalence of congenital uterine anomalies in women with reproductive failure remains unclear, largely due to methodological bias. The aim of this review is to assess the diagnostic accuracy of different methodologies and estimate the ...
Cocksedge, K.A.+2 more
core +1 more source