Mental Rotation Performance: Contribution of Item Features to Difficulties and Functional Adaptation.

Mental rotation is an important aspect of spatial ability. While the importance of measuring mental rotation has been explored, disputes still exist within the literature surrounding sources of item difficulty in mental rotation tests (MRTs). Furthermore, gender differences in MRT performance are often seen but not fully understood.

LKLPDA: A Low-Rank Fast Kernel Learning Approach for Predicting piRNA-Disease Associations.

Piwi-interacting RNAs (piRNAs) are increasingly recognized as potential biomarkers for various diseases. Investig-ating the complex relationship between piRNAs and diseases through computational methods can reduce the costs and risks associated with biological experiments. Fast kernel learning (FKL) is a classical method for multi-source data fusion that is widely employed in association prediction research.

Exploring the Influence of Item Characteristics in a Spatial Reasoning Task.

Well-designed spatial assessments can incorporate multiple sources of complexity that reflect important aspects of spatial reasoning. When these aspects are systematically included in spatial reasoning items, researchers can use psychometric models to examine the impact of each aspect on item difficulty. These methods can then help the researchers to understand the nature and development of spatial reasoning and can also inform the development of new items to better reflect the construct.