An original study published in eGastroenterology investigated how dietary convergence—limiting food to oats, milk, and water—affects gut microbiota. Despite uniform dietary intake among 18 healthy adults during a 6-day intervention, gut microbiome composition exhibited personalized responses without interindividual convergence. Microbial load and beneficial Faecalibacterium levels decreased, while the potentially dysbiotic Bacteroides2 community increased. The effect size of the diet was modest but highly variable across individuals. These findings challenge assumptions that standardized diets uniformly shape the microbiome and highlight the complexity of host-microbe interactions in nutritional studies.

A dual-channel model that combines convolutional and recurrent neural networks have been developed to predict the behavior of multicolor soliton in fiber lasers. This model processes the real and imaginary components of the optical complex field data, and accurately predicts the evolution of two-color and three-color solitons in the unsteady state, steady state, and their transition process, while capturing key nonlinear dynamical phenomena such as soliton collisions and energy redistribution.

A team of researchers has published a comprehensive review in National Science Review, offering a systematic overview of the development of superconducting quantum computing. The article summarizes recent advances in chip fabrication, gate control, and experimental breakthroughs, while highlighting emerging platforms such as bosonic encodings and fluxonium. By addressing key challenges—especially scalability—and proposing solutions, the review outlines a technical roadmap toward practical, fault-tolerant quantum computing.

With global food systems threatened by crop uniformity and climate stress, scientists are turning to the rich genetic heritage of the Solanaceae family—potato, tomato, eggplant, pepper, and beyond. 

Researchers have decoded the chromosome-level genome of Houttuynia cordata, an important East Asian medicinal plant known for its strong flavor and wide pharmacological use.

The modulation of the surface structure of platinum-based single-atom alloys is crucial for improving the catalytic performance in propane dehydrogenation. The optimization of the surface structure of PtCu clusters was attained through regenerative treatment, which significantly improved the propylene yield and catalytic stability, thereby offering a viable strategy for the design of alloy catalysts applicable to various high-temperature dehydrogenation reactions.