Tokyo, Japan – Researchers from Tokyo Metropolitan University have studied the relationship between numerical information in our vision, and how it affects our perception of space. Volunteers were asked to identify the center of lines and squares filled with numbers; how far they were from the true center revealed unexpected biases. Crucially, their work with squares showed how our perception of space is a complex interplay between “object-based” processing and our processing of numerical information.

New research from Fujita Health University reveals that talking can subtly delay the eyes’ ability to detect and stabilize on visual information. In experiments comparing talking, listening, and control conditions, only talking caused slower reaction, movement, and fixation times during rapid eye-movement tasks. Because driving depends heavily on fast gaze shifts, these delays may impair hazard detection and slow physical responses. The findings highlight the hidden risks of engaging in conversation while driving.

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of Aeronautics, a novel intelligent decision-making framework that addresses incomplete interference information has emerged. This innovative framework integrates fuzzy logic for uncertainty modeling, dynamic constrained multi-objective optimization, and transfer learning, enabling UAV swarms to achieve autonomous and efficient spectrum allocation under rapidly changing conditions while maintaining both communication performance and security.

Researchers from The University of Osaka found that common arguments used to encourage COVID-19 vaccination increase compliance but also intensify negative attitudes toward people with opposing views. The study highlights the need for public health communication strategies that promote vaccination while reducing social polarization.

The environmental, social, and governance (ESG) report is globally recognized as a keystone in sustainable enterprise development. However, current literature has not concluded the development of topics and trends in ESG contexts in the twenty-first century. Therefore, we selected 1114 ESG reports from global firms in the technology industry to analyze the evolutionary trends of ESG topics by text mining. We discovered the homogenization effect toward low environmental, medium governance, and high social features in the evolution. We also designed a strategic framework to look closer into the dynamic changes of firms’ within-industry representiveness and cross-sector distinctiveness, which demonstrates corporate social responsibility and sustainability. We found that companies are gradually converging toward the third quadrant, which indicates that firms contribute less to industrial outstanding and professional distinctiveness in ESG reporting. Firms choose to imitate ESG reports from each other to mitigate uncertainty and enhance behavioral legitimacy.