Ulsan National Institute of Science and Technology

The outcome of a temporary team is often foreshadowed before play begins, yet a single player rating says neither whether that player fits the current role nor whether the five assignments complement one another. This work puts both questions into one deep-learning model: it first reads each player's earlier matches against the current champion and role, then compares the two ten-player lineups as a whole. On a chronologically split validation set, the model predicts the winner before play at 61.33% accuracy, above the TrueSkill, CatBoost, GRU and DraftRec comparisons.

The outcome of a temporary team is often foreshadowed before play begins, yet a single player rating says neither whether that player fits the current role nor whether the five assignments complement one another. This work puts both questions into one deep-learning model: it first reads each player's earlier matches against the current champion and role, then compares the two ten-player lineups as a whole. On a chronologically split validation set, the model predicts the winner before play at 61.33% accuracy, above the TrueSkill, CatBoost, GRU and DraftRec comparisons.

Nanoparticle neurological safety is hard to predict from material properties alone, because exposure conditions, disease context and host responses reshape outcomes. Across 893 experimental contexts from 599 neurological studies, pro-inflammatory, anti-inflammatory/resolution and apoptosis-associated responses were harmonized into a Conserved Response Axis and added layer by layer to material descriptors. With a Random Forest model, biosafety ROC-AUC rose from 0.66 with material properties alone to 0.88 with exposure and biological context and 0.90 with cellular responses; recovery rose from 0.64 to 0.77 and 0.78.

Nanoparticle neurological safety is hard to predict from material properties alone, because exposure conditions, disease context and host responses reshape outcomes. Across 893 experimental contexts from 599 neurological studies, pro-inflammatory, anti-inflammatory/resolution and apoptosis-associated responses were harmonized into a Conserved Response Axis and added layer by layer to material descriptors. With a Random Forest model, biosafety ROC-AUC rose from 0.66 with material properties alone to 0.88 with exposure and biological context and 0.90 with cellular responses; recovery rose from 0.64 to 0.77 and 0.78.