The findings reveal that, although the ensemble mean of the ECMWF model has limited forecasting ability for extreme cold events after two weeks, some ensemble members exhibit significantly high forecasting skill. The members with high forecasting skill can accurately predict the rapid change of surface air temperature and the intensity of the minimum temperature during an extreme cold event. This mainly depends on the accurate prediction of the atmospheric circulation situation in Eurasia (sea level pressure and 500-hPa geopotential height).

Behavioral scoring based on clinical observations remains the gold standard for screening, diagnosing,and evaluating infantile epileptic spasm syndrome (IESS). The accurate identification of seizures is crucial for clinical diagnosis and assessment. In this study, we propose an innovative seizure detection method based on video feature recognition of patient spasms. To capture the temporal characteristics of the spasm behavior presented in the videos effectively, we incorporate asymmetric convolution and convolution–batch normalization–ReLU (CBR) modules. Specifically within the 3D-ResNet residual blocks, we split the larger convolutional kernels into two asymmetric 3D convolutional kernels. These kernels are connected in series to enhance the ability of the convolutional layers to extract key local features, both horizontally and vertically. In addition, we introduce a 3D convolutional block attention module to enhance the spatial correlations between video frame channels efficiently. To improve the generalization ability, we design a composite loss function that combines cross-entropy loss with triplet loss to balance the classification and similarity requirements. We train and evaluate our method using the PLA IESS-VIDEO dataset, achieving an average seizure recognition accuracy of 90.59%, precision of 90.94%, and recall of 87.64%. To validate its generalization capability further, we conducted external validation using six different patient monitoring videos compared with assessments by six human experts from various medical centers. The final test results demonstrate that our method achieved a recall of 0.647 6, surpassing the average level achieved by human experts (0.559 5), while attaining a high F1-score of 0.721 9. These findings have substantial significance for the long-term assessment of patients with IESS.

China has achieved a significant milestone in space science with the recent completion and national acceptance of the Chinese Meridian Project (CMP) Phase II on March 21. This project represents the world’s first comprehensive ground-based monitoring network spanning the entire Sun-Earth space environment, extending from the solar atmosphere to near-Earth space.

A study in Forest Ecosystems reveals that Australia's cool temperate rainforests are more disturbance-resilient than previously thought. Researchers found that Nothofagus moorei thrives under higher disturbance intensities through basal coppicing. 60% of species can resprout after disturbance, with N. moorei showing faster growth and better recruitment in response to canopy removal. These findings suggest that conservation strategies should not completely exclude disturbance but instead use controlled burning and selective logging to maintain ecological diversity.A study in Forest Ecosystems reveals that Australia's cool temperate rainforests are more disturbance-resilient than previously thought. Researchers found that Nothofagus moorei thrives under higher disturbance intensities through basal coppicing. 60% of species can resprout after disturbance, with N. moorei showing faster growth and better recruitment in response to canopy removal. These findings suggest that conservation strategies should not completely exclude disturbance but instead use controlled burning and selective logging to maintain ecological diversity.