Published in Frontiers in Psychology
Verbal learning and memory summaries of older adults have usually been used to describe neuropsychiatric complaints. Bayesian hierarchical models are modern and appropriate approaches for predicting repeated measures data where information exchangeability is considered and a violation of the independence assumption in classical statistics. Such mod...
Published in Frontiers in Big Data
The paper extends earlier work on modeling hierarchically polarized groups on social media. An algorithm is described that 1) detects points of agreement and disagreement between groups, and 2) divides them hierarchically to represent nested patterns of agreement and disagreement given a structural guide. For example, two opposing parties might dis...
Published in Bioinspiration & Biomimetics
Architected biomaterials, as well as sound and music, are constructed from small building blocks that are assembled across time- and length-scales. Here we present a novel deep learning-enabled integrated algorithmic workflow to merge the two concepts for radical discovery of de novo protein materials, exploiting musical creativity as the foundatio...
Published in Nanotechnology
We successfully designed and prepared hierarchical Ni3S2 [email protected] arrays on three-dimensional Ni foam via facile hydrothermal sulfuration. We conducted a series of time- and temperature-dependent experiments to determine the Ostwald ripening process of hierarchical Ni3S2 [email protected] arrays. The rationally hierarchical architecture cr...
Published in Frontiers in Materials
Transformer neural networks have become widely used in a variety of AI applications, enabling significant advances in Natural Language Processing (NLP) and computer vision. Here we demonstrate the use of transformer neural networks in the de novo design of architected materials using a unique approach based on text input that enables the design to ...
In order to clarify the relationship between renormalizable network models and hierarchicalness, we elaborate on a recent binary fitness-based renormalizable network model and evaluate how it can cope with hierarchicalness, that was characterized in several ways in the literature, and remains an elusive concept. To do so a benchmark hierarchical ne...
Published in Advanced materials (Deerfield Beach, Fla.)
Currently, organic semiconductors (OSs) are widely used as active components in practical devices related to energy storage and conversion, optoelectronics, catalysis, and biological sensors, etc. To satisfy the actual requirements of different types of devices, chemical structure design and self-assembly process control have been synergistically p...
Published in The European journal of neuroscience
The brain possesses structural and functional hierarchical architectures organized over multiple scales. Considering that functional recordings commonly focused on a single spatial level, and because multiple scales interact with one another, we explored the behaviour of in silico neuronal networks across different scales. We established ad hoc rel...
Published in Journal of Quantitative Analysis in Sports
Calculating the value of football player’s on-field performance has been limited to scouting methods while data-driven methods are mostly limited to quarterbacks. A popular method to calculate player value in other sports are Adjusted Plus–Minus (APM) and Regularized Adjusted Plus–Minus (RAPM) models. These models have been used in other sports, mo...
Recently, tremendous research has been done on fast-charged Li-ion batteries for use in vehicles. If the Li-ion cathode could be fully charged at 10 C or in 6 min, this charging time would be the same magnitude as the filling period of the hydrogen-fuelcell vehicles or the diesel-filling time on trucks. This current obstacle is solved in this work ...
