Radiobiological Impact Evaluation Within Monte-Carlo Shielding Calculations of CANDU Spent Fuel

The radiobiological effect on the human health of CANDU spent fuel is assessed using Monte Carlo shielding estimates. The examination of spent fuel occurs after it has been discharged from the reactor. A specific cooling interval is considered, with the radiation dose rates that characterize the used fuel being of interest. Two kinds of fuel were studied in a CANDU standard fuel bundle with 37 fuel components: natural uranium (NU) fuel and slightly enriched uranium (SEU) fuel. The fuel burnup was simulated using the ORIGEN-S algorithm, and the photon sources describing the wasted fuel were retrieved. A generic stainless steel shipping cask type B was used for spent fuel transfer, and radiation doses at the cask wall and in the air up to 8 m away from the shipping cask were computed using the Monte Carlo MORSE-SGC algorithm. To ensure nuclear safety and radiation protection, spent fuel must be maintained in temporary wet cooling storage for six months. The projected dosage rates were modest, allowing for the safe handling of the used fuel shipping cask. The corresponding dosages on human body organs for the two considered spent fuels were estimated without and with shielding. Due to the varied sensitivity and reaction of organs/tissue, the effective dosage was evaluated for the human body by applying a tissue-weighting factor; these weighting factors are not equal, and functional coefficients specified by ICRP are used. The equivalent doses calculation modeling findings for the present study underlined the complete effectiveness of the applied shielding and attained the acceptable dose level

On the nonlinear difference-differential equations arising in physics

Here, an extended discrete tanh function method with a computerized symbolic computation is used constructing a new exact travelling wave solutions of nonlinear differential difference equations of special interest in physics, namely, Hybrid equation, Toda lattice equation and Relativistic Toda lattice difference equations. As a result, we obtain many kinds of exact solutions which include soliton solutions, periodic solutions and rational solutions in a uniform way if solutions of these kinds exist. The method is straightforward and concise, and it can also be applied to other nonlinear difference differential equations in physics

Bone metastasis detection method based on improving golden jackal optimization using whale optimization algorithm

Abstract This paper presents a machine learning-based technique for interpreting bone scintigraphy images, focusing on feature extraction and introducing a new feature selection method called GJOW. GJOW enhances the effectiveness of the golden jackal optimization (GJO) algorithm by integrating operators from the whale optimization algorithm (WOA). The technique’s performance is evaluated through extensive experiments using 18 benchmark datasets and 581 bone scan images obtained from a gamma camera, including 362 abnormal and 219 normal cases. The results highlight the superior predictive effectiveness of the GJOW algorithm in bone metastasis detection, achieving an accuracy of 71.79% and specificity of 91.14%. The contributions of this study include the introduction of a new machine learning-based approach for detecting bone metastasis using gamma camera scans, leading to improved accuracy in identifying bone metastases. The findings have practical implications for early detection and intervention, potentially improving patient outcomes