In the rapidly evolving sector of financial analytics, predicting a firm’s going concern status accurately is vital for informed user decisions.This study introduces a novel method that synergizes Anchor Explainable Artificial Intelligence (XAI) with an Attention-Weighted Extreme Gradient Boosting (XGBoost) model, significantly improving the
The article is devoted to the presentation of complex bibliological and literary research, aimed at the scientific bibliography register, introduction into scientific use and exploration of Ukrainian poetry, printed within old-printed editions of the late 16th through the 18th centuries.The catalogues of Cyrillic old-printed editions featured more
Steady-state visual evoked potential (SSVEP) is one of the most used brain-computer interface (BCI) paradigms.Conventional methods analyze SSVEPs at a fixed window length.Compared with these methods, dynamic window methods can achieve a higher information transfer rate (ITR) by selecting an appropriate window length.These methods dynamically evalua
IntroductionResearchers have shown that music-evoked autobiographical memories (MEAMs) can stimulate long-term memory mechanisms while requiring little retrieval effort and may Jackets therefore be used in promising non-pharmacological interventions to mitigate memory deficits.Despite an increasing number of studies on MEAMs, few researchers have e