Background: Immunotherapy may be a rational strategy in leiomyosarcoma (LMS), a tumor known for its genomic complexity. As a prerequisite for therapeutic applications, we characterized the immune microenvironment in LMS, as well as its prognostic value. Methods: CD163+ macrophages, CD3+ T-cells, PD-L1/PD-L2 and HLA class I expression (HCA2, HC10 and β2m) were evaluated using immunohistochemistr...

Macrophages promote the growth of leiomyosarcoma (LMS), a malignant soft-tissue tumor. CD47 on tumor cells binds to the macrophagic receptor signal regulatory protein α (SIRPα) and prevents phagocytosis. We showed that anti-CD47 monoclonal antibodies (mAbs) allow macrophages to engulf LMS cells and prevent tumor growth and metastases. Therefore, anti-CD47 mAbs represent a promising targeted imm...

For the purpose of equalisation of rapidly time variant multipath channels, the RLS algorithm might provide better performance than the LMS algorithm. However, the RLS algorithm requires complicated operation to adapt the equaliser coe cients. In this paper, we derive a novel adaptive algorithm, amplitude banded LMS(ABLMS), and develop it as the adaptation procedure for a linear transversal equ...

An on-line transform domain Least Mean Square (LMS) algorithm based on a neural approach is proposed. A temporal Principal Component Analysis (PCA) network is used as an orthonormalization layer in the transform domain LMS filter. Since PCA learning is an on-line learning algorithm, an on-line transform domain LMS filter can be easily implemented. Moreover, a modified Kalman estimation, which c...

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

Leiomyosarcoma (LMS) is one of the most common subtypes of soft tissue sarcoma in adults and can occur in almost any part of the body. Uterine leiomyosarcoma is the most common subtype of uterine sarcoma. Increased awareness of this unique histology has allowed for the development of drugs that are specific to LMS and has begun to shed light on the similarities and possible unique aspects of so...

With the increasing demands for sophisticated Learning Management System (LMS) to deploy in diverse learning environments, the need for unique customisation in the standard LMS to manage variety of courses is extremely important and widely recognized. However, software customisation is extremely expensive and involves long duration of the software development lifecycle process. Thus, the tradit...

The increase in life expectancy, according to the World Health Organization, is a fact, and with it rises incidence of age-related neurodegenerative diseases. most recurrent symptoms are those associated tremors resulting from Parkinson’s disease (PD) or essential (ETs). main alternatives for treatment these patients medication surgical intervention, which sometimes have restrictions side effec...

The LMS algorithm is one of the most successful adaptive filtering algorithms. It uses the instantaneous value of the square of the error signal as an estimate of the mean-square error (MSE). The LMS algorithm changes (adapts) the filter tap weights so that the error signal is minimized in the mean square sense. In Trigonometric LMS (TLMS) and Hyperbolic LMS (HLMS), two new versions of LMS algo...

Trans-dimensional random field language models (TRF LMs) where sentences are modeled as a collection of random fields, have shown close performance with LSTM LMs in speech recognition and are computationally more efficient in inference. However, the training efficiency of neural TRF LMs is not satisfactory, which limits the scalability of TRF LMs on large training corpus. In this paper, several...