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...

In this work, a new class of stochastic gradient algorithm is developed based on q-calculus. Unlike the existing q-LMS algorithm, the proposed approach fully utilizes the concept of q-calculus by incorporating time-varying q parameter. The proposed enhanced q-LMS (Eq-LMS) algorithm utilizes a novel, parameterless concept of error-correlation energy and normalization of signal to ensure high con...

This paper introduces a cascade d RLS-LMS predictor for predictive lossless audio coding applications. In this proposed predictor, a LMS predictor with large order is employed in order to capture the ample tonal and harmonic components of the audio signal for optimal prediction gain performance. Meanwhile, to solve the slow convergence problem of the LMS algorithm with colored inputs, a low-ord...

The stochastic-gradient-descent LMS adaptive filtering algorithm provides a powerful and computationally efficient means of realizing adaptive filters. In this work, we present architectural synthesis of low-power computational engines (or hardware accelerators) for LMS adaptive filtering. This engine could be configured for delayed LMS/delayed normalized LMS, full-band/subband adaptive filteri...