As for the problem that the traditional single depth prediction model has poor strain capacity to the prediction results of time series data when predicting lake eutrophication, this study takes the multi-factor water quality data affecting lake eutrophication as the main research object.A deep reinforcement learning model is proposed, which can re

Feature selection (FS) is an essential preprocessing step in utmost solutions for the high-dimensional problem to reduce the number of features by deleting irrelevant and redundant data that preserve a suitable grade of click here classification accuracy.Feature selection can be treated as an optimization problem.Heuristic optimization algorithms a

Loss of verbal language production makes people with dementia appear unreachable.We previously presented a case study applying nonverbal communication techniques with a lady with dementia who could no longer speak, which we termed Adaptive Interaction.The current small-n study examines the applicability of Adaptive Interaction as a general tool for

ObjectiveThe aim of this study was to compare the clinical presentations, nerve conduction studies, neuroimaging findings of subacute combined degeneration (SCD) caused by N2O abuse and primary vitamin B12 deficiency.The goal is to improve diagnostic accuracy, tailored therapeutic interventions, and ultimately enhancing patient outcomes in cases of