Patients with Type 1 diabetes (T1D) require accurate and consistent monitoring of their blood glucose levels. Over the past decade, AI models have been explored to tackle this challenge; however, inter-patient variability and large data volumes remain key challenges. In a new study, researchers present BiT-MAML, a model-agnostic algorithm aimed at personalized blood glucose prediction of patients with T1D. This approach overcomes the limitations of existing models and enables precise predictions in real clinical settings.

Compressed air energy storage (CAES) is an effective technology for mitigating the fluctuations associated with renewable energy sources. In this work, a hybrid cogeneration energy system that integrates CAES with high-temperature thermal energy storage and a supercritical CO2 Brayton cycle is proposed for enhancing the overall system performance. This proposal emphasizes system cost-effectiveness, eco-friendliness, and adaptability. Comprehensive analyses, including thermodynamic, exergoeconomic, economic, and sensitivity evaluations, are conducted to assess the viability of the system. The findings indicate that, under design conditions, the system achieves an energy storage density, a round-trip efficiency, an exergy efficiency, a unit product cost, and a dynamic payback period of 5.49 kWh/m3, 58.39%, 61.85%, 0.1421 $/kWh, and 4.81 years, respectively. The high-temperature thermal energy storage unit, intercoolers, and aftercooler show potential for optimization due to their suboptimal exergoeconomic performance. Sensitivity evaluation indicates that the operational effectiveness of the system is highly sensitive to the maximum and minimum air storage pressures, the outlet temperature of the high-temperature thermal energy storage unit, and the isentropic efficiencies of both compressors and turbines. Ultimately, the system is optimized for maximum exergy efficiency and minimum dynamic payback period. These findings demonstrate the significant potential of this system and provide valuable insights for its design and optimization.

A new expert commentary in ENGINEERING Energy （formerly Frontiers in Energy）underscores a revolutionary "self-supplied hydrogen" strategy that achieves 99% selectivity in upcycling polyethylene into high-value fuel without external hydrogen sources.

With the upcoming Milano Cortina 2026 Winter Paralympic Games, national and international media attention is once again turning to Paralympic sport. But how is it presented to the public? The study “It should just be about sport!”: exploring Italian athletes' perspectives in paralympic media coverage – conducted by Athanasios Pappous and Pablo Iniesta at the University of Bologna’s Department for Life Quality Studies and published in the international journal Frontiers in Sports and Active Living – collected the direct testimonies of 17 high-level Italian Paralympic athletes to investigate how they perceive their representation in the media.

POSTECH Professor Inseok Hwang’s team unveils ArithMotion, enabling socially-aligned avatar motions with simple arithmetic inputs.

The research team led by Researcher Tianyu Wang from the School of Integrated Circuits at Shandong University has systematically reviewed the latest advances in emerging memristors for in-memory computing applications. This review summarizes key breakthroughs and challenges in material design, device performance, and circuit implementation of memristors in logic gate applications, covering various material systems including two-dimensional materials, perovskite materials, and optoelectronic materials, as well as novel structures such as array architectures and wearable textile memristors, and evaluating their suitability for achieving stable and efficient logic operations.

As the installed capacity of renewable energy such as wind and solar power continues to increase, energy storage technology is becoming increasingly crucial. It could effectively balance power demand and supply, enhance allocation flexibility, and improve power quality. Among various energy storage technologies, liquid CO₂ energy storage (LCES) stands out as one of the most promising options due to its advantages such as high round-trip efficiency (RTE), high energy storage density (ESD), safety, stability, and longevity. Within the system, the cold and heat storage units play a critical role in determining the overall performance of the system and are particularly important among its various components. In this paper, a novel LCES system is proposed and the heat transfer characteristics are analyzed in detail. Then, the impact of key parameters on the liquefaction ratio and RTE is discussed. The results indicate that the RTE, ESD, and exergy efficiency of the system are 56.12%, 29.46 kWh/m³, and 93.73% under specified design conditions, respectively. During the gas–liquid phase change process of carbon dioxide or when it is in a supercritical state, the related heat transfer processes become more complex, leading to increased energy loss. The analysis of key parameters of the Linde-Hampson liquefaction unit reveals that as the liquefaction temperature decreases, both the liquefaction ratio and RTE increase. While the liquefaction pressure has a minimal impact on the liquefaction ratio, it significantly affects RTE, with an optimal liquefaction pressure identified.