Purpose: Cavernous haemangiomas of the uterine cervix are very rare and usually harmless. It is a benign tumor that may cause gynecological obstetrical complications. Although it is a benign condition but it can have serious consequences for the mother as well as for the baby. The treatment is often surgical and diagnosis is histological. Methods and Result: we reported a case of cavernous haemangioma of the cervix in a 25-year old multiparous patient, referred to our Centre in the 33 -34 gestational weeks for premature labor with membranes rupture. A 3 cm × 6 cm soft regular purplish red mass is found in the uterine cervix. Tocolosys, prophylactic antibiotic therapy and corticotherapy for fetus pulmonary maturation were then decided after elimination of chorioamniotite signs. Caesarean has been made during labor, a week later, for tumor previa. The tumor excision has been made through the vagina after fetus extraction. The histological examination confirmed diagnosis of the cavernous haemangioma. Discussion: Further to this observation, the clinical, histological and therapeutic characteristics of the cavernous haemangioma unusual presentation were drawn up and literature enriched since this pathology is rare. Most previous reports in the literature consist of single-case histories, and the experience of individual institutions is limited. The patients dramatically present dilemmas in the disease management. This can result in uncontrolled bleeding especially during operative delivery and may require hysterectomy. To avoid unexpected bleeding from haemangioma, patients should be repeatedly examined for haemangioma of the birth canal, and special care should be taken in choosing the delivery mode.
In recent years, the rapid growth of road traffic density generates a rising request for tools that can be used to analyze and control the traffic networks. The Microscopic traffic simulation is one of the major tools used in the analysis of traffic systems; it provides a very detailed study of the interaction between the elements of the traffic network. Thus microscopic traffic simulation has become an ever increasing field of research and development.The main aim if this paper is to provide a new model for microscopic traffic simulation; Traditional traffic simulation models neglect some real-life factors that need to be considered, such as the effect of random distribution in the entry of lane. This paper combines the Multi-Agent Systems (MAS) and the stochastic process to model the randomness of vehicles arrival at the entry of the lane.The second contribution of this paper is about the internal structure of mobile agents[8] which initially reacts according to the instructions of the Main agent (MA); in the case of a lack of dynamic information, the mobile agents take decisions based on their experiences accumulated during previous interactions.The obtained results illustrate that using the randomness in the reaction of agent enhanced greatly the performance of simulation.
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