BACKGROUND AND PURPOSE Diffusion-weighted imaging (DWI) is highly accurate in identifying and locating ischemic stroke injury. Few studies using DWI have investigated large subcortical infarctions (LSIs). We aimed to study clinical characteristics, cause, and outcome in patients with ischemic stroke with LSI diagnosed on DWI and compare these with those who had lacunar DWI lesions or DWI lesion...

BACKGROUND AND STUDY AIMS  Endoscopic local steroid injection (LSI) has been used to prevent esophageal strictures after endoscopic submucosal dissection (ESD) for superficial esophageal neoplasms (SENs). This study aimed to evaluate the safety and efficacy of LSI therapy. PATIENTS AND METHODS  From May 2007 to September 2014, at four institutions, 40 consecutive patients with SENs were treat...

Lesion size index (LSI) is useful to complete pulmonary vein isolation (PVI) for atrial fibrillation (AF). High-power application with LSI guided ablation strategy (HP-LSI) may shorten the time PVI. However, long-term outcome HP-LSI was limited. To assess rhythm between HPSD and strategies. 147 paroxysmal AF patients who underwent PVI by TactiCath catheter were enrolled retrospectively. The fir...

By extending the least squares based iterative (LSI) method, this paper presents a decomposition based LSI (D-LSI) algorithm for identifying linear-in-parameters systems and an intervalvarying D-LSI algorithm for handling the identification problems of missing-data systems. The basic idea is to apply the hierarchical identification principle to decompose the original system into two fictitious ...

This paper describes the results obtained from the merging of two techniques that provide improvements to search and retrieval using Latent Semantic Indexing (LSI): Essential Dimensions of LSI (EDLSI) and partial singular value decomposition (PSVD) updating. EDLSI utilizes an implementation of LSI that requires the use of only a few dimensions in the LSI space. The PSVD updating and folding-up ...

Latent Semantic Indexing (LSI) has been widely used in information retrieval due to its efficiency in solving the problems of polysemy and synonymy. However, LSI is notably a computationally intensive process because of the comput260 Y. Liu, M. Li, M. Khan, M. Qi ing complexities of singular value decomposition and filtering operations involved in the process. This paper presents MR-LSI, a MapR...

We aim in this research to find and compare cross-lingual articles concerning a specific topic. So, we need a measure to compare articles. This measure can be based on bilingual dictionary or based on numerical methods such as Latent Semantic Indexing (LSI). In this paper, we use LSI in two ways to retrieve Arabic-English comparable articles. The first one is monolingual: the English article is...

Two stacked integration methods have been developed to enable advanced microsystems of microelectromechanical systems (MEMS) on large scale integration (LSI). One is a wafer level transfer of MEMS fabricated on a carrier wafer to a LSI wafer. The other is the use of electrical interconnections using through-Si vias from the structure of a MEMS wafer on a LSI wafer. The wafer level transfer meth...

Laser speckle imaging (LSI) is an interferometric technique that provides information about the relative speed of moving scatterers in a sample. Photothermal LSI overcomes limitations in depth resolution faced by conventional LSI by incorporating an excitation pulse to target absorption by hemoglobin within the vascular network. Here we present results from experiments designed to determine the...