Math teacher Emma Chiappetta uses a three-round exercise to help students not only recognize their errors, but also generate ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

Plant-made nanomaterials are proteinaceous elements that are emerging as multi-purpose and versatile tools in the therapeutic landscape. In the context of autoimmune diseases, Tomato Bushy Stunt Virus ...

Abstract: Combinatorial optimization problems (COPs) are essential in various applications, including data clustering, supply chain management, and communication networks. Many real-world COPs are non ...