Refueling decisions of liner ships are facing challenges from both fuel price fluctuations and carbon emission constraints.This paper proposes a multistage stochastic programming model to tackle the refueling problem for dual-fuel ships under carbon intensity indicator (CII) rating limit and carbon tax costs.The model also takes into account variou
Near-infrared spectroscopy (NIRS) has been used extensively for functional neuroimaging over the past decade, in part because it is considered a powerful tool Throw for investigating brain function in human infants and young children, for whom other neuroimaging techniques are not suitable.In particular, several studies have measured hemodynamic re
In the recent time, the E-commerce sector has been facing serious challenges due to the fraudulent behaviors of a number of E-commerce businesses.Thousands of consumers have lost their money due to these fake transactions.The main purpose of this article is to help to mitigate online business frauds by reviewing the current legislation and regulati
This paper focuses on the question of how place, time, ritual, and liturgy were interconnected before, during, and after trials in the tenth and eleventh centuries in what is today Catalonia.It does so by highlighting cases that show silicone-lube that Visigothic law heavily affected the way in which trials were organized, while simultaneously Acce
Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning.Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated.We aimed to investigate the performance of deep learning mo