A shipping container of fresh fuel in nuclear industry is used to prevent a leakage of unirradiated radioactive materials and to maintain an integrity of nuclear fuels during transportation.In this study, the drop behavior was predicted and the effect of drop orientation on structural integrity of a Original Painting shipping container in case of 9
Pathways to a cancer-free future: a protocol for modelled evaluations to minimise the future burden of colorectal cancer in Australia
Introduction With almost 50% of cases preventable Door Handle and the Australian National Bowel Cancer Screening Program in place, colorectal cancer (CRC) is a prime candidate for investment to reduce the cancer burden.The challenge is determining effective ways to reduce morbidity and mortality and their implementation through policy and practice.
A randomized control trial to evaluate the effect of local instillation of mitomycin-C at the porta after kasai portoenterostomy in patients of biliary atresia
Background: Kasai portoenterostomy (KPE) is the initial treatment for biliary atresia (BA).Even after initial jaundice clearance, a significant number of children presented with the reappearance of symptoms due to ongoing fibrosis involving porta and intrahepatic ducts.Mitomycin-C (MMC) is an antifibrotic agent, and the study hypothesized that loca
Platooning Cooperative Adaptive Cruise Control for Dynamic Performance and Energy Saving: A Comparative Study of Linear Quadratic and Reinforcement Learning-Based Controllers
In recent decades, the automotive industry has moved towards the development of advanced driver assistance systems to enhance the comfort, safety, and energy saving of road vehicles.The increasing connection and communication between vehicles (V2V) and infrastructure (V2I) enables further opportunities for their optimisation and allows for addition
Sentiment Analysis of Animated Online Education Texts Using Long Short-Term Memory Networks in the Context of the Internet of Things
This work aims to introduce Long Short-Term Memory (LSTM) under the Internet of Things (IoT) context to enhance the accuracy and granularity of sentiment analysis in animated online Baby Strollers education texts.It employs a multimodal data collection approach and uses IoT technology to gather multimodal textual data from students engaged in anima