184 research outputs found
Modeling a global supply chain for a two-wheeler manufacturer
The research paper explores how simulation modeling helps to design a global supply chain by minimizing Forrester effects. The simulation results show through a case study how one of the leading two-wheeler manufacturing companies in India could improve its innovative product forecasting and reduce the risk from currency fluctuations
A Deep Learning Approach to Video Classification for Indoor and Outdoor Environments
This research paper explores the application of deep learning techniques for video classification, specifically focusing on distinguishing between indoor and outdoor environments. We present a comprehensive analysis of different deep learning models and methodologies used for this classification task, evaluating their performance and effectiveness. Our study includes a detailed exploration of feature extraction methods, model architectures, and training strategies tailored to indoor-outdoor video classification. Through extensive experimentation and evaluation on benchmark datasets, we demonstrate the efficacy of our proposed approach, achieving significant accuracy rates and outperforming existing methods in this domain. The findings from this research contribute valuable insights and advancements in video classification using deep learning, with potential applications in various real-world scenarios such as surveillance, robotics, and environmental monitoring
Hydatid cyst-colonic fistula: an exceptional complication
Hydatid disease is a worldwide zoonosis and is localized in the liver in most cases. Its complications are numerous and include those related to the compression of adjacent viscera, infection of the cyst's contents or perforation of the cyst. Spontaneous rupture of the hepatic hydatid cyst into colon is an extremely rare complication. The communication is, typically, not discovered until surgery. We present a case of a liver hydatid cyst communicating with the hepatic flexure of colon. The surgical treatment of the lesion and its complications was complex but successful and included partial cystectomy with prolonged external tube drainage
A System Modeling Approach to Enhance Functional and Software Development
This paper presents a SysML-based approach to enhance functional and software
development process within an industrial context. The recent changes in
technology such as electromobility and increased automation in heavy
construction machinery lead to increased complexity for embedded software.
Hence there emerges a need for new development methodologies to address
flexible functional development, enhance communication among development teams,
and maintain traceability from design concepts to software artefacts. The
discussed approach has experimented in the context of developing a new
transmission system (partially electrified) and its functionality. While the
modeling approach is a work-in-progress, some initial success, as well as
existing gaps pointing to future works are highlighted.Comment: 6 Pages, In 2018 Software Technologies: Applications and Foundations
Workshop (MDE@DeRun 2018). STAF 201
Sclerosing mesenteritis - rare cause of abdominal pain and intra-abdominal mass: a case report
Sclerosing mesenteritis is a rare, benign, and chronic fibrosing inflammatory disease with unknown etiology that affects the mesentery of small bowel and colon. The disease has two well-established histological types: the acute or subacute form known as mesenteric panniculitis and the chronic form known as retractile or sclerosing mesenteritis. Because sclerosing mesenteritis lacks special clinical manifestations and typical signs, the patients are very easily misdiagnosed. The correct diagnosis of sclerosing mesenteritis depends on pathological examination after laparotomy. We report a case of sclerosing mesenteritis in a 55-year-old male who presented with chronic abdominal pain and intra-abdominal mass. He was misdiagnosed as lymphoma by Computed Tomography and then underwent exploratory laparotomy. Histopathological examination revealed it to be sclerosing mesenteritis. This patient went well and lives without recrudescence till date
A clinical study of acute intestinal obstruction in adults-based on etiology, severity indicators and surgical outcome
Background: Patients with bowel obstruction still represent some of the most difficult and vexing problems that surgeons face today. While the adage, “never let the sun rise or set on a bowel obstruction” remains true, there has been a trend towards selective non-operative management of this problem. Aims and objectives were to study the various causes and modes of presentation of intestinal obstruction and to evaluate the importance of different severity indicators of obstruction with early recognition, diagnosis and thus timely abdominal exploration.Methods: 2 years prospective study conducted in PDMMC college, Amravati, Maharashtra, India, from September 2013 to September 2015. Each intestinal obstruction patient was evaluated with specific severity indicators, scored and then analyzed.Results: The commonest cause of intestinal obstruction in adults in this study series was adhesions in 33.33% cases. Other causes were mesenteric ischaemia, i.e. 7 (11.67%), Koch’s abdomen, i.e. 5 (8.33%), sigmoid volvulus, i.e. 5 (8.33%) and carcinoma, i.e. 5 (8.33%). Resection anastomosis was most commonly performed procedure in 45.7 % cases, followed by adhesiolysis in 14% patients. 66.66% patients having a score less than 3 were managed conservatively, 95.83 % having a score of 3 or more where operated on.Conclusions: The evaluation of patients endeavours not only to confirm the diagnosis but also to determine the need for and timing of surgery. Certain severity indicators and scoring systems can help to optimize this timing of surgery and prevent mortality
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