Least mean square (LMS)-based adaptive algorithms have attracted much attention due to their low computational complexity and reliable recovery capability. To exploit the channel sparsity, LMS-based adaptive sparse channel estimation methods have been proposed based on different sparse penalties, such as l1-norm LMS or zeroattracting LMS (ZA-LMS), reweighted ZA-LMS, and lp-norm LMS. However, th...

OBJECTIVES In 2000, the Centers for Disease Control and Prevention (CDC) released a new set of childhood growth charts for the United States. These charts included a set of smoothed percentiles along with LMS (lambda-mu-sigma) parameters to allow the calculation of other percentiles or standard deviation scores. These parameters resemble the LMS parameters derived using Cole's LMS method. Simil...

We analyze subword-based language models (LMs) in large-vocabulary continuous speech recognition across four “morphologically rich” languages: Finnish, Estonian, Turkish, and Egyptian Colloquial Arabic. By estimating n-gram LMs over sequences of morphs instead of words, better vocabulary coverage and reduced data sparsity is obtained. Standard word LMs suffer from high out-of-vocabulary (OOV) r...

Leiomyosarcoma (LMS) is a rare malignant mesenchymal tumor of smooth muscle cells. Chromosomal aberrations in LMS have been studied, but the cytogenetic data that have been published so far are complex, limited, and incomplete. Here, we performed for the first time a high-resolution genome-wide array comparative genomic hybridization (CGH) analysis (aCGH) on a pool of 14 low- and high-grade LMS...

The aim of this study was to explore the "intensity-response" relationship in local moxibustion-like stimuli- (LMS-) modulated gastric motility and its underlying receptor mechanism. Based on the thermal pain threshold (43°C), 41°C, 43°C, and 45°C LMS were separately applied to ST36 or CV12 for 180 s among ASIC3 knockout (ASIC3-/-) mice, TRPV1 knockout (TRPV1-/-) mice, and their homologous wild...

In the knowledge age, the use of the information technology (IT) tools including learning management systems (LMS) has became an imperative. The adoption rate of LMS in academic and training institutions is very promising worldwide. Learning Management system includes several tools that provide academic and training institutions efficient and effective means to support distance education and su...

Leiomyosarcoma (LMS) is a mesenchymal cancer that occurs throughout the body. Although LMS is easily recognized histopathologically, the cause of the disease remains unknown. Versican, an extracellular matrix proteoglycan, increases in LMS. Microarray analyses of 80 LMSs and 24 leiomyomas showed a significant elevated expression of versican in human LMS versus benign leiomyomas. To explore the ...

Learning Management Systems (LMS) are used widely to support training in an organization. Selecting and implementing an LMS can have an impact in cost, time and customer satisfaction in the organization. Due to the existence of a variety of definitions on the subject of elearning and LMS, it is necessary a conceptual framework using an ontology. This article presents a research in progress whos...

The Labeled Magnitude Scale (LMS) is a semantic scale of perceptual intensity characterized by a quasi-logarithmic spacing of its verbal labels. The LMS had previously been shown to yield psychophysical functions equivalent to magnitude estimation (ME) when gustatory, thermal and nociceptive stimuli were presented and rated together, and the upper bound of the LMS was defined as the 'strongest ...

In this paper we discuss how to improve the behavior of the Variable Step-Size LMS (VSSLMS) algorithm that was proposed in [6]. In many practical applications from the field of system identification, an estimation of the noise variance is available. Therefore we introduce a modified VS-LMS algorithm that exploits this informations in order to provide a faster convergence speed. In this paper th...