In this work, arithmetic distribution matching (ADM) is presented. ADM invertibly transforms a discrete memoryless source (DMS) into a target DMS. ADM can be used for probabilistic shaping and for rate adaption. Opposed to existing algorithms for distribution matching, ADM works online and can transform arbitrarily long input sequences. It is shown analytically that as the input length tends to...

In this article, the problem of optimal control of time-varying singular systems with quadratic performance index has been studied via Adomian Decomposition Method (ADM). The results obtained via RK-Butcher algorithm (RKB)[10] and ADM are compared with the exact solutions of the time-varying optimal control of linear singular systems. It is observed that the results obtained using ADM is closer...

Pancreatic acinar-to-ductal metaplasia (ADM) is associated with an increased risk of pancreatic cancer and is considered a precursor of pancreatic ductal adenocarcinoma. Transgenic expression of transforming growth factor alpha (TGF-α) or K-ras(G12D) in mouse pancreatic epithelium induces ADM in vivo. Protein kinase C iota (PKCι) is highly expressed in human pancreatic cancer and is required fo...

The purpose of the present study was to investigate the effects of intracavernosal injections of adrenomedullin (ADM) and calcitonin gene-related peptide (CGRP), two structurally similar peptides, on penile erection in the anesthetized cat. Erectile responses to ADM and CGRP were compared with responses to a standard drug combination (1.65 mg papaverine, 25 microg phentolamine, and 0.5 microg p...

A slight induction of granulocytic differentiation of HL-60 cells occurred after treatment with antileukemia chemotherapeutic agents Adriamycin (ADM) and daunomycin (DM). Addition of an inhibitor (sphinganine, SP) of protein kinase C (PKC) enhanced 2-4-fold the ADM or DM-induced differentiation. This phenomenon was accompanied by a slightly augmented antiproliferative effect. The enhancement of...

A method for detecting intrinsic slow variables in high-dimensional stochastic chemical reaction networks is developed and analyzed. It combines anisotropic diffusion maps (ADM) with approximations based on the chemical Langevin equation (CLE). The resulting approach, called ADM-CLE, has the potential of being more efficient than the ADM method for a large class of chemical reaction systems, be...

Acellular dermal matrices (ADM) are becoming an integral component of immediate implant-based breast reconstruction, providing inferolateral coverage and support of the implant. Currently, five ADM products are available on the market for this purpose. Although their application has resulted in improved aesthetic results with low complication rates, the clinical performance of ADM when radiothe...

Motivated by a problem in large scale climate data analysis, we consider the problem of maximum a posteriori (MAP) inference in graphical models with millions of nodes. While progress has been made in recent years, existing MAP inference algorithms are inherently sequential and hence do not scale well. In this paper, we present a parallel MAP inference algorithm called KL-ADM based on two ideas...

OBJECTIVE Adjunct acellular dermal matrices (ADM) are thought to improve esthetic outcomes of breast reconstruction but the existing evidence is largely anecdotal. In this study, we provide comparative data on esthetic outcomes of expander-implant breast reconstruction with and without ADM. METHODS Chart review was performed on a consecutive series of expander-implant reconstructions by the s...