Shielding design and heat transfer analysis of the transportation container of a hot batch in the Mo production facility.

In molybdenum-99 (Mo) production facilities via the fission method, appropriate transportation containers must be used to transfer irradiated targets from the irradiation facility to the processing facility, following the requirements for transferring radioactive materials. In the Mo production industrial plan of Iran, the transportation container must be capable of carrying a holster containing nine irradiated low-enriched uranium targets, known as a hot batch. In this article, the proper shielding of two-layer containers based on the gamma spectrum emitted from the radioisotope inventory of a local hot batch, including fission products, activation products, and other radioisotopes produced from their decay chains, was investigated by using Monte Carlo code MCNP6.

In-Field Training of a Passive Back Exoskeleton Changes the Biomechanics of Logistic Workers.

OCCUPATIONAL APPLICATIONSOccupational exoskeletons receive rising interest in industry as these devices diminish the biomechanical load during manual materials handling. Still, we have limited knowledge when it comes to in-field use. This gap often contributes to failure in the implementation of exoskeleton in industry.

Using an interpretable deep learning model for the prediction of riverine suspended sediment load.

The prediction of suspended sediment load (SSL) within riverine systems is critical to understanding the watershed's hydrology. Therefore, the novelty of our research is developing an interpretable (explainable) model based on deep learning (DL) and Shapley Additive ExPlanations (SHAP) interpretation technique for prediction of SSL in the riverine systems. This paper investigates the abilities of four DL models, including dense deep neural networks (DDNN), long short-term memory (LSTM), gated recurrent unit (GRU), and simple recurrent neural network (RNN) models for the prediction of daily SSL using river discharge and rainfall data at a daily time scale in the Taleghan River watershed, northwestern Tehran, Iran.