RESUMO
The technology for deep learning in the field of thermal infrared face recognition has recently become more available for use in research, therefore allowing for the many groups working on this subject to achieve many novel findings. Thermal infrared face recognition helps recognize faces that are not able to be recognized in visible light and can additionally recognize facial blood vessel structure. Previous research regarding temperature variations, mathematical formulas, wave types, and methods in thermal infrared face recognition is reviewed.
RESUMO
Genetics and personality can be determined and assessed in individuals, which can be used to predict behaviours in large groups and possibly individually. This report will describe how to use quantum decision theory (QDT) to predict these behaviours. Genetics and personality correlations to risk-taking using QDT in balloon analogue risk tasks (BART) will be covered in this report. The areas of theory covered will be BART, QDT, QDT in BART, personality correlations to risk-taking in BART, genetic correlations to risk-taking in BART, the models used in these theories and a presentation of new models to use these theories together. This article reviews many other primary research articles, which analyses the correlation between genetics/personality and risk-taking behaviour in BART. This report provides models that use impulsivity, venturesomeness, and genetic traits with QDT, to probabilistically predict decisions in risk-taking behaviour.
RESUMO
Many advancements taking place in the field of radiation therapy come in the form of increasingly powerful devices and specialized treatments that aim to increase precision, visualization, and facility throughput. Although these devices are very effective at their respective roles within radiotherapy, they are expensive and require specialized vaults to shield the public and the radiation worker from the ionizing radiation. A proposed device, known as the Simple XRT, is designed to circumvent the inherent drawbacks of the current devices. The Simple XRT uses a 6 MV linear accelerator that utilizes diagnostic quality computed tomography (CT) image guidance. Simple XRT will serve as a cost-effective device for treating most cancer indications.
RESUMO
Artifical Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations.
