the goals of post-transplant management are to manage and treat postoperative complications, and develop a balanced long-term immunotherapy regimen that minimizes infection and side effects but controls rejection. while modern immunosuppressant regimes have reduced rates of graft loss due to rejection, they impart major risks for infection, growth failure, metabolic complications, and malignanc...

This paper addresses the problem of disturbance compensation for the successful assembly of structures by mobile field robots. A control architecture, consisting of a linear PID joint controller with model predictive feed-forward compensation for mobile base motions and interactive-force disturbance rejection is discussed. Object insertion is achieved by predicting environment-object contact st...

Hormesis is a dose-response phenomenon that has received little recognition, credibility and acceptance as evidenced by its absence from major toxicological/risk assessment texts, governmental regulatory dose-response modeling for risk assessment, and non-visibility in major professional toxicological society national meetings. This paper traces the historical evolution of the hormetic dose-res...

-In this paper, a MAP statistical modeling *approach has been utilized to correct and verify Persian names and surname OCR outputs. In addition, an efficient Neural Network based rejection method has been presented and tested. Due to large variety of Persian surnames, a statistical grammar has been added to the MAP strategy, to make new surnames, which are not included in the dictionary. The mo...

Antagonism of the adenosine A2A receptor on T cells blocks the hypoxia-adenosinergic pathway to promote tumor rejection. Using an in vivo immunoassay based on the Concanavalin A mouse model, a series of A2A antagonists were studied and identified preladenant as a potent lead compound for development. Molecular modeling was employed to assist drug design and subsequent synthesis of analogs and t...

This paper provides a framework for analyzing white noise disturbances in linear systems. Rather than the usual stochastic approach, noise signals are described as elements in sets and the disturbance rejection properties of the system are described in a worst case setting. This type of modeling of noise and disturbances very much fits the philosophy of both the behavioral and robust control se...

One of the factors that led to the wide rejection of the 1972 ―Limits to Growth‖ report was the inability for most people to understand the model used in the study. In the present paper, the author builds simple ―mind sized‖ world models designed to convey to readers the main qualitative features of world modeling. These models turn out to provide results comparable to real-world historical cas...

A methodology is presented for modeling load shapes in the residential sector by using hourly whole-house metered data and temperature. Individual household-level load data are analyzed to achieve data smoothing (noise rejection) and comprcssiOn (in the ratio of approximately WA), and to disaggregate the weatherdependent and weather-independent components of the load. The weather-independent (l...

In this paper we discuss the differences of the utterance verification/rejection between speaker-dependent and speaker-independent speech recognition. A general guideline will be given to handle the verification task for the two type speech recognitions. We also discuss some specific methods have been commonly deployed in various speech recognition systems. In this study we describe two example...

In this paper we propose a bayesian approach for time-frequency (t-f) based source separation. We propose a Gibbs sampler, a standard Markov Chain Monte Carlo (MCMC) simulation method, to sample from the mixing matrix, the source t-f coefficients and the input noise variance, under two models for the sources. In the first one the t-f coefficients of the sources are assumed i.i.d, while a freque...