As shifting federal priorities, sweeping agency restructurings, and deep funding cuts continue to reshape the American public health infrastructure, a new study reveals the staggering toll these disruptions are taking on the federal workforce.

Researchers have developed a controllable hydrothermal synthesis strategy for spherical cerium oxide (CeO₂) abrasives with tunable particle sizes from 32 to 531 nm while maintaining excellent sphericity and dispersity. Mechanistic studies reveal that CeO₂ formation occurs via nitrateinduced oxidation of Ce³⁺, with subsequent precipitation coupled to acetate decomposition thermodynamically driving the reaction forward. Chemical mechanical polishing (CMP) tests show that 343 nm CeO₂ achieves the highest material removal rate (73.7 nm·min⁻¹) with low surface roughness (Ra = 0.31 nm). The hydrothermally synthesized CeO₂ outperforms commercial abrasives in both short and longterm polishing owing to its uniform morphology.

In data center networks, the growth rate of switch buffer size is much smaller than that of network bandwidth capacity. This results in frequent network congestion, which requires congestion control. Currently, the classification of end-to-end congestion control protocols is based on single dimensions such as time or congestion arbitration subjects.

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an innovative architecture named "Decentralized Hypercube Collaborative Framework," addressing long-standing challenges such as high memory overhead, low computational efficiency, and underutilized hardware resources in traditional Graph Convolutional Network (GCN) training.

Hermit crabs forced to live in shells that are too small will slow their growth.  New research suggests crabs can fit their wardrobe not by eating less. Instead, they appear to regulate growth by changing how efficiently they use the food they consume. Now if we could only do that to fit into our own wardrobes

A research team has developed HerbSyner_Finder, a network community-based computational model that can identify synergistic ingredient combinations from herbal medicines and other complex biological systems.