Generative artificial intelligence (GenAI) tools, which mimic human-like conversations have the capacity to respond to questions, admit mistakes, and provide instantaneous linguistic feedback. A new study among college students in China has revealed the technological, educational, and social applications, as well as the limitations, of GenAI feedback. This study highlights the potential of GenAI feedback to enhance L2 writing outcomes, despite its current shortcomings.

A new study uncovers crucial insights into the gene interactions linked to Alzheimer's disease (AD), revealing how amyloid-beta accumulation affects gene dynamics across different brain regions and age groups.

A pioneering study offers unprecedented insights into the bone immune microenvironment of type 2 diabetic mice, uncovering a unique genetic profile that includes decreased osteoclast differentiation.

The surge in digital data presents both unprecedented opportunities and formidable challenges across industries. A recent scoping survey sheds light on the transformative role of machine learning (ML) in unlocking the potential of big data (BD) to reveal hidden patterns, streamline operations, and drive innovation. The study explores the historical evolution of BD and ML, their seamless integration, and the significant obstacles posed by the volume, velocity, variety, and veracity of data. Through real-world case studies in healthcare, finance, e-commerce, and energy, the research underscores how ML can revolutionize decision-making and operational efficiency, paving the way for the next wave of data-driven advancements.

Toroidal vortices, common in fluid dynamics, are newly explored in electromagnetism as two distinct forms: vector toroidal pulses and scalar phase vortices. This work proposes hybrid electromagnetic toroidal vortices unifying scalar and vector natures of light. Using a coaxial horn emitter with a radial metasurface, researchers experimentally generate these toroidal pulses exhibiting vortex streets, skyrmions, and transverse orbital angular momentum. It will offer robust propagation and potential applications in free-space communication and topologically rich light-matter interactions.

In recent years, China has been rapidly advancing the development of its low-altitude economy, with 2024 being recognized as the "Year One" of low-altitude economy in China. Driven by policy support and technological innovation, China’s low-altitude economy is expected to grow into a trillion-yuan industry in 2025, positioning itself as a key driver of economic transformation and industrial upgrading. This rapid expansion presents both opportunities and challenges for Geographic Information Science and Technology, which plays a crucial role in optimizing airspace management and supporting UAV-based applications. A research team from the State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, carried out a comprehensive review on the opportunities and challenges for Geographic Information Science and Technology in this evolving field. Their study provides valuable insights into the role of geographic information technologies in supporting low-altitude economic activities, particularly in the areas of airspace resource utilization, air traffic infrastructure, and UAV operation management. The study offers a scientific foundation for advancing geographic information applications in this field. Journal of Geo-information Science has published the study.