The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Uterine leiomyosarcoma (LMS) develops more often in the muscle tissue layer of the uterine body than in the uterine cervix. The development of gy...

Undifferentiated high-grade pleomorphic sarcomas (UPSs) display aggressive clinical behavior and frequently develop local recurrence and distant metastasis. Because these sarcomas often share similar morphological patterns with other tumors, particularly leiomyosarcomas (LMSs), classification by exclusion is frequently used. In this study, array-based comparative genomic hybridization (array CG...

Uterine leiomyosarcoma (LMS) develops more often in the muscle tissue layer of the uterine body than in the uterine cervix. The development of gynecologic tumors is often correlated with female hormone secretion; however, the development of uterine LMS is not substantially correlated with hormonal conditions, and the risk factors are not yet known. Importantly, a diagnostic-biomarker, which dis...

The issue of magnetic orientation transitions in thin lms combines interesting physics and importance for applications. We study the magnetic transition and phase diagram of a 0.1 m thick (YLaGd)3(FeGa)5O12 lms grown on GGG substrate by liquid phase epitaxy. Observed transitions are compared with those in BiGa:TmIG thin lms, studied in previous work by one of the authors. A general picture of o...

In this paper, IEEE Learning Technology System Architecture (LTSA) for LMS software has been analyzed. It has been observed that LTSA is too abstract to be adapted in a uniform way by LMS developers. A high level design that satisfies the IEEE LTSA standard has been proposed for future development of efficient LMS software. A hybrid model of learning fitting into LTSA model has also been propos...

The hydraulic system of mobile garbage compression equipment was studied according to its actual working conditions. A simulation model of the hydraulic system was established with AMESim software, and the speed and acceleration of the piston rod were simulated. Simulation results show that the designed hydraulic system can achieve the action requirements. The experiment also shows the similar ...

We investigate the differences between language models compiled from original target-language texts and those compiled from texts translated to the target language. Corroborating established observations of Translation Studies, we demonstrate that the latter are significantly better predictors of translated sentences than the former, and hence fit the reference set better. Furthermore, translat...

The least mean square (LMS) algorithm is the most popular adaptive ltering method due to its simplicity and predictable behavior. The convergence properties of the LMS algorithm can be improved by updating the lter coe cients in the transform domain. This paper presents a new transform domain LMS equalizer, called Discrete Cosine Transform Domain Parallel LMS (DCTPLMS) equalizer, which updates ...

Language models (LMs) are essential components of many applications such as speech recognition or machine translation. LMs factorize the probability of a string of words into a product of P(wi |hi ), where hi is the context (history) of word wi . Most LMs use previous words as the context. The paper presents two alternative approaches: post-ngram LMs (which use following words as context) and d...

The Normalized Least Mean Square (NLMS) algorithm is an important variant of the classical LMS algorithm for adaptive linear FIR ltering. It provides an automatic choice for the LMS step-size parameter which aaects the stability, convergence speed and steady-state performance of the algorithm. In this paper, we generalize the NLMS algorithm by deriving a class of Nonlinear Normalized LMS-type (...