Leiomyosarcoma (LMS) is a malignant soft tissue sarcoma (STS) with a dismal prognosis following metastatic disease. Chemotherapeutic intervention has demonstrated to have modest clinical efficacy with no curative potential in LMS patients. Previously, we demonstrated pan-HDAC inhibition to have a superior effect in various complex karyotypic sarcomas. In this study, our goal is to evaluate the ...

The statistical efficiency of a learning algorithm applied to the adaptation of a given set of variable weights is defined as the ratio of the quality of the converged solution to the amount of data used in training the weights. Statistical efficiency is computed by averaging over an ensemble of learning experiences. A high quality solution is very close to optimal, while a low quality solution...

background: learning management system (lms) is a web-based system designed to support teaching and learning at an institution. the capabilities of any lms are required to be evaluated to detect the room for improvement. this study aimed at discovering the students’ perceptions of the functions of the lms at iran university of medical sciences (iums).   methods: this qualitative study included ...

For the research of simulation of synchronization control for pneumatic elevator, a model is builtin AMESim software. The simulations are used to research the impact of synchronous control strategy. The simulation results show that there are good synchronizing effects by applying pneumatic proportional technology and synchronization control with master-slave mode based on PID control. Some theo...

For the ANSYS CFD codes CFX and Fluent coupling links to several 1D codes exist allowing for a wide range of multi-physics applications. As an example, a flexible coupling infrastructure in terms of supported multiphysics coupling conditions between ANSYS CFX and LMS AMESim is outlined. Examples of the wide range of coupling solutions of ANSYS CFD (CFX and Fluent) and coupled 1D-3D applications...

LMS (Learning Management Systems) today are being widely used in almost every educational facility. In the last years all conceivable use cases that need to be carried out by such LMS have been defined and the features a modern LMS needs to offer are very clear. Rarely do we find something a teacher or student needs that an LMS cannot offer. So the task for LMS developers shifted from offering ...

We compare the photoemission and electron energy loss spectra of crystalline poly(vinylidene-fl uoride with trifl uoroethylene: 70%: 30%), P(VDF–TrFE), fi lms, fabricated by the Langmuir–Blodgett technique and annealed in vacuum, with in situ thermally evaporated fi lms of poly(vinylidene-fl uoride) (PVDF) in vacuum. Th e electronic structure and vibrational modes of the short chain PVDF fi lms...

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...