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Recovering a low-rank tensor from incomplete information is a recurring problem in signal processing and machine learning. The most popular convex relaxation of this problem minimizes the sum of the nuclear norms of the unfoldings of the tensor. We show that this approach can be substantially suboptimal: reliably recovering a K-way tensor of length n and(More)
In this paper, we propose and analyze an accelerated linearized Bregman (ALB) method for solving the basis pursuit and related sparse optimization problems. This accelerated algorithm is based on the fact that the linearized Bregman (LB) algorithm is equivalent to a gradient descent method applied to a certain dual formulation. We show that the LB method(More)
PURPOSE The purpose of this study was to compare the causes and characteristics of reoperations after different primary operations for lumbar disc herniation (LDH). METHODS Out of a series of 5,280 patients who underwent operations for LDH between 2001 and 2012, 207 patients (135 male and 72 female, mean age 47.7 years) underwent primary and revision(More)
PURPOSE To evaluate the differences of learning curve for PELD depending on the surgeon' s training level of minimally invasive spine surgery. METHODS We retrospectively reviewed the medical records of 120 patients (surgeon A with his first 60 patients, surgeon B with his first 60 patients) with sciatica and single-level L4/5 disk herniation who underwent(More)
Metarhizium anisopliae is one of the most common species of entopathogenic fungi. It has economic and social benefits in many countries where used in agriculture as an important biological control agent of insect pests. M. anisopliae can exist as multiple cell types, which suggests that this fungus has a complex way of gene regulation. MicroRNAs (miRNAs)(More)
Protein A from the bacterium Staphylococcus aureus (SpA) has been widely used as an affinity ligand for purification of immunoglobulin G (IgG). The affinity between SpA and IgG is affected differently by salt and pH, but their molecular mechanisms still remain unclear. In this work, molecular dynamics simulations and molecular mechanics Poisson-Boltzmann(More)
A spatial multi-objective land use optimization model defined by the acronym 'NSGA-II-MOLU' or the 'non-dominated sorting genetic algorithm-II for multi-objective optimization of land use' is proposed for searching for optimal land use scenarios which embrace multiple objectives and constraints extracted from the requirements of users, as well as providing(More)
Mesenchymal stem cells (MSCs) derived from adult tissues are an important candidate for cell-based therapies and regenerative medicine due to their multipotential differentiation capability. MSCs have been identified in many adult tissues but have not reported in the human intervertebral disc cartilage endplate (CEP). The initial purpose of this study was(More)
—To take advantage of the wide swath width of Land-sat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+) images and the high spatial resolution of Système Pour l'Observation de la Terre 5 (SPOT5) images, we present a learning-based super-resolution method to fuse these two data types. The fused images are expected to be characterized by the swath(More)
Osteoarthritis (OA), the most common form of arthritis, affects millions of people worldwide. The degradation of extracellular matrix induced by matrix metalloproteinases (MMPs) is an important cause of cartilage destruction. Pinocembrin (PB) is one of the primary flavonoids abundant in propolis and extracted as a pure compound. The protective effects of PB(More)