Macrocyclic compounds exhibiting narrowband emission are pivotal for advancing wide-gamut displays. Researchers report a BN-embedded cyclophane (BN-CP) possessing Multiple Resonance Thermally Activated Delayed Fluorescence (MR-TADF) character, synthesized efficiently via a one-pot triple intramolecular Bora-Friedel-Crafts reaction from an aza[14]cyclophane precursor. X-ray crystallographic analysis and DFT calculations demonstrate that cyclization-induced conformational rigidity significantly narrows the emission spectrum. Leveraging the synergistic MR effects of its three B/N centers, BN-CP achieves deep-blue emission with a remarkably narrow full width at half maximum (FWHM) of 24 nm. Corresponding OLED devices exhibit a peak external quantum efficiency (EQE) of 23.3%, ranking among the highest reported for deep-blue MR-OLEDs.

Participants in oil markets are increasingly aware of the climate risks posed by frequent extreme weather. This paper examines the role of extremely high-temperature weather information in predicting oil futures prices on the China International Energy Exchange (INE). An extreme high-temperature weather index (HTI) is developed on the basis of meteorological data at INE’s crude oil production and storage sites. The local interpretable model-agnostic explanations (LIME) and accumulated local effects (ALE) methods are used to compare the predictive contribution of the HTI with that of 15 common predictors.  

The results indicate that the HTI enhances the out-of-sample accuracy of five classical prediction models for INE oil prices. The recurrent neural network (RNN) model exhibits superior out-of-sample forecast performance, with an MAE of 14.379, an RMSE of 19.624, and a DS of 66.67%. The predictive importance of the HTI in the best RNN model ranks third in most test instances, surpassing conventional oil price predictors such as stock market indicators.  

The ALE analysis reveals a positive correlation between extremely high-temperature weather and INE oil prices. These findings can help investors and oil market regulators improve oil price forecast accuracy while also providing new evidence about the relationship between climate risk and oil prices.

Scientists develop reliable perovskite indoor photovoltaics for IoT devices, achieving record 42% efficiency and projected ~6000-hour lifespan under indoor light, enabling continuous power for micro-energy electronics.

Osaka Metropolitan University researchers have successfully measured the body temperature of cows using a non-invasive method with AI and infrared technology.