In the paper, we give the concept of ¬-ideals dual to that of ¬-filters by using the operation ~ in SBL¬-algebras, and also show some characterizations of ¬-ideals. The relationships between ¬-ideals and ¬filter are investigated by the notion of the set of complement elements. It is obtained that for a ¬-proper ideal I of a SBL¬-algebra L, the set I ∪N(I) is the least SBL¬-subalgebra of L conta...

Sparse Bayesian learning (SBL) is an important family of algorithms for sparse signal recovery and compressed sensing. It has shown superior recovery performance in challenging practical problems, such as highly underdetermined inverse problems, recovering signals with less sparsity, recovering signals based on highly coherent measuring/sensing/dictionary matrices, and recovering signals with r...

We present the design and verification of a desktop system for the automated production of nanostructured thin films via spin-assisted layer-by-layer (spin-LBL) assembly. The utility of this system is demonstrated by fabricating polyvinyl alcohol/clay nanocomposites. Ellipsometry measurements demonstrate that the automated spin-LBL method creates composites with bilayer thickness and growth rat...

BACKGROUND Traditional methods of educating medical students are no longer sufficient in the current era largely influenced by multimedia. Simulation-based techniques may play a pivotal role in bridging this educational gap. AIM This study was conducted to explore the perception of medical students towards simulation based learning (SBL). SUBJECTS AND METHODS This cross-sectional study was ...

Abstract—In this work, we provide non-asymptotic, probabilistic guarantees for successful sparse support recovery by the multiple sparse Bayesian learning (M-SBL) algorithm in the multiple measurement vector (MMV) framework. For joint sparse Gaussian sources, we show that M-SBL perfectly recovers their common nonzero support with arbitrarily high probability using only finitely many MMVs. In fa...

OBJECTIVES Recent studies using next-generation sequencing (NGS) analysis disclosed the importance of the intrinsic activation of the B-cell receptor (BCR) pathway in the pathogenesis of sporadic Burkitt lymphoma (sBL) due to mutations of TCF3/ID3 genes. Since no definitive data are available on the genetic landscape of endemic Burkitt (eBL), we first assessed the mutation frequency of TCF3/ID3...

Layer-by-layer (LbL) assembly has attracted much attention because of its ability to create multifunctional films on surfaces while maintaining bulk properties. The method relies on sequential adsorption of polymers onto bulk surfaces from solution, giving rise to complex multilayered films. LbL assembly is simple to implement and offers extensive control over film properties and composition du...

Sparse Bayesian learning (SBL) is a popular approach to sparse signal recovery in compressed sensing (CS). In SBL, the signal sparsity information is exploited by assuming a sparsity-inducing prior for the signal that is then estimated using Bayesian inference. In this paper, a new sparsity-inducing prior is introduced and efficient algorithms are developed for signal recovery. The main algorit...

PURPOSE Measurement of small bowel length (SBL) is a common procedure in gastrointestinal surgery. When required, repeated SBL measurements can be done during surgery. Our aim was to evaluate whether these repeated measurements differ in SBL results. METHODS Small bowel length was measured during laparotomy in 28 patients between ligament of Treitz and caecum, using a standard measure, two ti...

This paper researches an AUV (Autonomous Underwater Vehicle) positioning method based on SINS (Strapdown Inertial Navigation System)/LBL (Long Base Line) tightly coupled algorithm. This algorithm mainly includes SINS-assisted searching method of optimum slant-range of underwater acoustic propagation multipath, SINS/LBL tightly coupled model and multi-sensor information fusion algorithm. Fuzzy c...