Objective To determine the capability of dynamic enhanced computed tomography (CT) to differentiate liver metastases (LMs) of well-differentiated from poorly-differentiated gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). Methods Patients with LMs of GEP-NENs who underwent dynamic enhanced CT examination in Peking University Cancer Hospital from January 2009 to October 2015 were in...

Nowadays, e-learning is undergoing a standardization process. In this paper, an overview of e-learning standardization state of the art is provided and the relationship between Learning Management System (LMS) functionalities and current e-learning standards is presented. Some lacks are found and the importance of defining new standards to cover several LMS aspects is justified. This work descr...

A new adaptive estimation algorithm is presented. It is the result of a combination of the LMS and the fast Newton transversal filters (FNTF) class. The main characteristic of the proposed algorithm is its improved convergence rate as compared to LMS, for cases where it is known that LMS behaves poorly. This improved characteristic is achieved in expense of a slight increase in the computationa...

LMS Affects Teaching Effectiveness: Depending on Platforms, Lecturer Qualification, and Age. The ability of lecturers to manage the affects effectiveness their teaching. Each platform has differences in user interface available features. Educational qualifications age affect mastery applications. So, type platform, educational qualifications, teaching effectiveness. Objective: This study aims e...

We have previously shown differential expression of leucomyosuppressin (LMS) mRNA in apparent endocrine cells in the anterior region of midguts of the cockroach Diploptera punctata, using in situ hybridization. In contrast, other FMRFamide-related peptides, as revealed by immunohistochemistry, have been found most abundantly in the posterior region in both apparent endocrine cells and nerve tra...

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...