A groundbreaking study from East China Normal University has leveraged AI to analyze classroom teaching patterns across China, revealing that teacher-centered instruction still dominates. This research utilizes a sophisticated AI-powered classroom intelligent analysis system to assess 1,008 recorded Chinese language classes spanning nine grade levels. Usage of AI enables effective systematic analysis of large volumes of classroom data, reducing time and human intervention.

The increasing prevalence of myopia is a global health concern, with high myopia increasing the risk of vision damage. This necessitates the use of artificial intelligence (AI) for early diagnosis, prevention, and management of myopia.  Now, a Pediatric Investigation review sheds light on potential applications of AI in the early identification, risk assessment, and prevention of myopia. It further highlights the challenges and current development status of AI technology in the field of myopia.

Funded by the Pipeline Hazardous Materials Safety Administration, an agency within the Department of Transportation, this project aims to develop a realistic training system for teams to practice handling hazardous condition response and emergency response. 

Purpose

The authors target the interrelationships between non-fungible tokens (NFTs), decentralized finance (DeFi) and carbon allowances (CA) markets during 2021–2023. The recent shift of crypto and DeFi miners from China (the People's Republic of China, PRC) green hydro energy to dirty fuel energies elsewhere induces investments in carbon offsetting instruments; this is a backdrop to the authors’ investigation.

Design/methodology/approach

The quantile vector autoregression (VAR) approach is employed to examine extreme-quantile-connectedness and spillovers among the NFT Index (NFTI), DeFi Pulse Index (DPI), KraneShares Global Carbon Strategy ETF price (KRBN) and the Solactive Carbon Emission Allowances Rolling Futures Total Return Index (SOLCARBT).

Findings

At bull markets, DPI is the only consistent net shock transmitter as NFTI transmits innovations only at the most extreme quantile. At bear markets, KRBN and SOLCARBT are net shock transmitters, while NFTI is the only consistent net shock receiver. The receiver-transmitter roles change as a function of the market conditions. The increases in the relative tail dependence correspond to the stress events, which make systemic connectedness augment, turning market-specific idiosyncratic considerations less relevant.

Originality/value

The shift of digital asset miners from the PRC has resulted in excessive fuel energy consumption and aggravated environmental consequences regarding NFTs and DeFi mining. Although there exist numerous studies dedicated to CA trading and its role in carbon print reduction, the direct nexus between NFT, DeFi and CA has never been addressed in the literature. The originality of the authors’ research consists in bridging this void. Results are valuable for portfolio managers in bull and bear markets, as the authors show that connectedness is more intense under such conditions.