BACKGROUNDAcute promyelocytic leukemia (APL) is characterized by fusion of PML/RARα genes as a result of t(15;17)(q24;q21). APL is now one of the curable hematological malignancies thanks to ...molecularly targeted therapies based on all-trans retinoic acid (ATRA) and arsenic trioxide (ATX). Extramedullary (EM) relapse is a rare event in APL, ear involvement being even more infrequent, with only six cases so far described. About 30-35% of patients with newly diagnosed APL have additional cytogenetics abnormalities, whose prognostic significance is still controversial. The most common additional aberration is trisomy 8 or partial gain 8q. CASE PRESENTATIONWe describe here a novel unbalanced translocation der(3)t(3;8)(q29;q23.3-q24.3) associated with 8q partial gain in a 41 year-old man affected by APL in molecular remission after first line treatment, who had a responsive EM relapse in the auditory canal. CONCLUSIONSEM relapse is a rare event in APL and ear involvement is even more infrequent. To our knowledge, this is the first reported case of APL with a new der(3)t(3;8)(q29;q23.3-q24.3) and 8q partial gain associated with t(15;17)(q24;q21). Despite the recurrence of the disease at EM level, the clinical outcome of this patients was favorable.
The performance evaluation of different system architectures and the development of tailored methods to manage FFMSs at operational level are the final decision activities of the design approach ...presented in this book. In this chapter a simulation theory-based tool is presented. The proposed tool is able to automatically simulate a set of different scenarios and to provide the necessary capability to compare the performance of FFMSs versus FMSs. Moreover, tailored methods to optimize the performance at operational level are introduced in the simulated supervisor of the FFMSs architecture. The methods allow to split the execution of the part program among different machining centers and to manage the opportunity to share more than one pallet transport system on the same route. The methods are validated through simulation experiments.
This paper introduces an application of simulation-based multi-objective optimization to solve a system configuration problem in a hybrid flow shop system. The test case is provided by a firm that ...manufactures mechanical parts for the automotive sector. We present an architecture that uses both discrete-event simulation and mathematical programming tools in order to solve the problem. The multiple-objective nature of the problem is preserved throughout the proposed approach, using Pareto-dominance concepts both to eliminate inefficient solutions within the proposed solution algorithm and to provide the user with efficient solutions. Mathematical programming is used to cull the required number of simulation runs. Computational results obtained using a real-world case study are reported. The proposed approach is benchmarked against a general purpose simulation-optimization engine in order to prove its effectiveness.
This proposal adopts an approach based on a synergy between collaborative learning theories, semantic technologies and soft computing techniques to improve the performances of a research community. ...It is proposed a model of Virtual Organization based on three interconnected layers that can facilitate in-time retrieval of geo-located competences and skills, the recall of ad hoc services for setting a collaborative-oriented workspace and the access to geo-referenced resource repositories. This model proposes an experimental use of the Semantic Web (Domain Ontologies, Taxonomies, Upper Ontologies, etc...) and we will explain the added value it can bring to the Knowledge Communities research field.
The integration of uncertainty notions into numerical simulation modeling tools is an interesting research field to cope with the lack of models able to deal with non-probabilistic uncertainty. The ...goal may be reached by exploiting fuzzy sets theory which allows analyzing problems from the non-probabilistic point of view. In this work, the problems related with the integration of fuzzy sets in discrete event simulation theory are analyzed. New methods are presented to extend simulation to fuzzy simulation. The proposed approach soundness is demonstrated by assuring the possibility to reproduce any possible feasible evolution of a system. A numerical case proposed in literature is used to to benchmark the improvement respect to the state-of-the-art.
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