ABSTRACT
A 5-month-old, intact male, yellow Labrador retriever was presented with a 24-hour history of anorexia and vomiting. Abdominal imaging revealed the presence of a mechanical obstruction in the jejunum and peritoneal effusion. Cytologic evaluation and culture of the effusion prior to surgery identified a suppurative exudate with bacteria consistent with septic peritonitis and suspected to be related to the intestinal lesion. An exploratory laparotomy was performed, and a segment of jejunum was circumferentially severely constricted by an off-white, fibrous band of tissue. Resection and anastomosis of the strangulated segment of jejunum and excision of the constricting band provided resolution of the clinical signs. The dog made a complete recovery. Histologic evaluation revealed the band to be composed of fibrovascular and smooth muscle tissue, consistent with an idiopathic anomalous congenital band. No other gastrointestinal lesions were observed, either grossly at surgery or histologically in the resected segment of intestine. To our knowledge, a similar structure has not been reported in the veterinary literature.Copyright © 2022 Canadian Veterinary Medical Association. All rights reserved.
ABSTRACT
The study includes a literature review, modeling and simulation concepts, applications, FlexSim characterization, and the M/M/C model, i.e., multiple channels. Customer service processes with Coronavirus Disease 2019 (COVID-19) have been affected by dissimilar reasons among them the distancing that causes queues to become longer and the set of operations to be carried out with the same personnel, being this a not so satisfactory experience for the customer. The article addresses key concepts related to the use of FlexSim software within a simulation model in a service process where decisions can be made based on the study of queuing theory. After performing the Poisson goodness-of-fit test, it was determined that the distribution of hourly queue arrivals does meet a Poisson-type distribution since its Chi-square test reaches a value of 0.92 which is well above the coefficient of 0.5. Therefore, the exact probability of finding n arrivals during a given time T can be found, if the process is random, as is the case of the cooperative. The average number of customers in the queue waiting to be served, gives a reduction from 1.04 to 0.14 customers, so it is understood that, if the increase of servers in the cooperative were applied, this would cause queues to be generated in the system, since its L_q is 0.14 customers. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.