The study establishes relationships between game progress and entertainment experiences using Newtonian laws of motion, revealing the player's mental state. The game refinement theory explores fundamental mechanisms of game playing mechanics, mapping different cultures to human mind sophistication.
A new deep learning network with backward connections achieves more accurate crowd counting, enabling better public safety and traffic efficiency. The researchers developed the network to estimate human density in public places and vehicle density on roads.
New research reveals that children's paintings contain valuable insights into their cognitive development, spatial relationships, and artistic abilities. Digital image analysis technology helps identify areas of improvement in art education, such as focusing on object size, composition, and creative methods.
Researchers have developed graphene-based sensors that retain adsorbed gas molecule interactions hours after electric field is turned off, enabling long-term molecular identification and 'beyond-sensing' applications.
Researchers found that limiting media use can lead to disinterest, while introducing new materials expands children's creativity and improves motivation. Educators are recommended to instruct students on new media application and object proportion management to enhance learning outcomes.
The study establishes a cost-effective synthetic strategy to gain highly proton-conductive porous organic polymers (POPs) with excellent conductivity of 10-2 to 10-1 S cm-1. This design offers a universal means for evolving structural design for highly proton-conductive materials.
Researchers at Japan Advanced Institute of Science and Technology have successfully measured the current-voltage curve of graphene nanoribbons suspended between two electrodes. The study reveals that a critical bias voltage triggers an abrupt change in electrical conductance for zigzag GNRs, opening new possibilities for switching devi...
Researchers at Japan Advanced Institute of Science and Technology create unique micro-springs from natural polysaccharide fibers with self-assembling twisted microstructures. The sacran fiber behaves like a mechanical spring under humid conditions, enabling fast bending and stretching responses to changes in humidity.
Researchers have developed TurboRVB, a first-principles quantum Monte Carlo package that overcomes drawbacks of density functional theory and wavefunction-based calculations. The code features resonating valence bond-type wave functions, state-of-the-art optimization algorithms, and lattice-regularized diffusion Monte Carlo method.
Scientists from Japan and Italy use synchrotron X-ray total scattering and vibrational spectroscopies to determine the structural disorder and dimensions of a building unit in the heterogeneous Ziegler-Natta catalyst. The research sheds new light on the full elucidation of nanostructure in practical heterogeneous catalysts.
Researchers found that the orientation and configuration of hexagonal boron nitride on bilayer graphene significantly affect Berry curvature, a stable dissipationless current. Encapsulating bilayer graphene with hBN in phase increases asymmetry and large Berry curvature.
Scientists have developed a multi-functional graphene-based nanomedicine that targets cancer cells with enhanced anticancer activity. The material, which combines three types of molecules for improved tumor targeting and drug delivery, shows promise for future biomedical applications.
Researchers at Japan Advanced Institute of Science and Technology have successfully fabricated suspended graphene nanomesh with controlled nanopores. The graphene nanomesh exhibits increased thermal activation energy, enabling new methods for bandgap engineering and potential applications in gas sensing and phonon engineering.