Uterine carcinosarcomas case series of rare uterine malignancy

Primary malignant mixed Müllerian tumor (MMMT) of the ovary is a rare and highly aggressive neoplasm predominantly affecting postmenopausal women. MMMT is a biphasic tumor comprising both epithelial and mesenchymal components and is associated with significantly higher mortality compared to epithelial ovarian neoplasms. Patients typically present with symptoms such as vaginal bleeding, abdominal pain, and a palpable mass. Surgery remains the primary treatment modality, while adjuvant therapies, including chemotherapy and radiotherapy, play a crucial role in improving locoregional control and managing distant metastasis. Due to the rarity of these tumors, there is limited literature on their optimal therapeutic management. This series aims to analyse the clinical presentations and treatment outcomes of patients diagnosed with this uncommon uterine cancer treated at our hospital

A Review on Failure Analysis of Nozzle Guide Vanes of Aero Gas Turbine

Nozzle guide vanes (NGVs) at the inlet of the turbine is the first component that comes in contact with the hot gases. Acceleration of hot gases coming from the combustion chamber are done by the convergent shape of vanes. Aim is to get the higher efficiency from turbine by less exhaust gas emission and low fuel consumption. But for higher efficiency engine has to operate at peak temperature. At high temperature nozzle guide vanes can get fails due to thermal stresses induced in it. Leakage or blocking of cooling passages are also the major cause of failure of nozzle guide vanes. The reasons for the thermal failure of NGVs varies the change in temperature. Failure of analysis of NGVs of aero gas turbine engine are discussed.</jats:p

Development of Virtual Training Platform for Tandem Cold Rolling Mill Using Data Science and Digital Twin Technology

Abstract: An attempt has been made to develop Virtual Training Platform for Pickling Line Tandem Cold Mill (PLTCM) intended to deliver faster and enhanced learning experience of the process operator by leveraging Advanced Data Modelling, Data Science and Digital Twin Technology. Virtual Training Platform has modules for virtual tour of the plant, setup simulation, real-time rolling simulation, performance evaluation. Rolling Simulation has ANN based Automatic gauge control model and DNN based shape prediction model. Platform also comprises of a Natural Language Processing based chatbot for online query related to process line. Keywords: tandem cold Mill; Deep Neural Network (DNN); Virtual tour; Automatic Gauge Control (AGC), shape Control; chatbot</jats:p