Purpose: radiotherapy treatment plan of the left breast can be critical due to the heart proximity. Thus, conservative dose constraints for limiting the mean heart dose (MHD) have been suggested in order to minimize late complications. In this paper, a predictive model is developed to correlate MHD to the treatment geometry.

A new and powerful approach called Slime Mould Algorithm (SMA) is suggested in this paper, for optimal siting and sizing of capacitors for an IEEE distribution network. First, the most nominee buses for installing capacitors are developed using various indices. Loss Sensitivity Factors (LSF), Voltage Stability Index (VSI), and Power Loss Index (PLI) are employed to determine the elected buses. Then the proposed SMA is used to deduce the size of capacitors and their positions from the picked buses. The objective function is introduced to minimize the net cost and then, increase the total saving per year. The developed approach is tested on the IEEE distribution network. The obtained results are compared with others to highlight the advantages of the developed approach. Also, the results are presented to confirm its influence in minifying the losses, and net cost and to improve the voltage profile and total saving for a radial distribution network.

This paper explores the methodologies employed in assessing AI vendor capabilities for Roy Hill, a leading iron ore mining company in Western Australia. Utilizing Monte Carlo simulations and Large Language Models (LLMs), including advanced approaches like Multi-Persona LLM (MP-LLM), we scrutinize selected AI vendors to identify potential partners that align with Roy Hill's strategic objectives and operational efficiency goals. We developed a comprehensive vendor evaluation framework that combined survey results with independent LLM/LLM product assessments, offering a multi-dimensional analysis of vendor capabilities. The MP-LLM framework was further tested for its logic in problem solving capability and was found to improve in combination with other prompt engineering techniques and carefully curated personas specific to the problem. To deal with challenges associated with publicly available data due to risks of information asymmetry and confirmation bias, we incorporated vendor feedback and enhanced evaluation metrics with LLMs/LLM products and Monte Carlo analyses. The study contributed to the discourse on AI vendor selection in the mining industry, highlighting the necessity of adaptive strategies in a rapidly evolving technological landscape. Future research will focus on refining these methodologies, exploring knowledge graphs, and developing a diverse library of personas for a broader application of our findings, aiming to enhance AI capability assessments and foster operational excellence.

With respect to the circulation of vehicles within an interconnected network of arteries, we analyze the temporal evolution by applying sequential iterations of stochastic matrices, each representing a single image of the network. The potential of applying the Markov chain formalism to the evolution of vehicle traffic in the city of Tigre, Argentina, was demonstrated in a previous study. The adopted modeling was based on a discretization approach, i.e. considering the passage of vehicles from one intersection to the next. In fact, each formal step represented an increase of one unit in the exponent of a transition matrix. In the present study, still using Markov chains, we modify the model by considering a continuous process. We set the desired stationary state for the traffic in a complex circuit as a goal to be achieved, taking into account the detailed entrances, exits, and parking lots. This circuit is represented as a digraph, to which an ad hoc proposal for a steady-state matrix is associated. From the stationary matrix that is generated in this way, a continuous evolution matrix with the same stationary state is constructed. Then, by imposing an initial population of vehicles within the formal network as a vector, one applies to it a continuous evolution matrix containing the available information; one can control the real traffic to reach the desired stationary state. A numerical example is worked out to find the desired steady state.