Assisted reproductive technology (ART) has transformed infertility treatment but is associated with a 2–5-fold increased risk of ectopic pregnancy (EP) compared with natural conception. Despite accumulating evidence, a comprehensive bibliometric evaluation of ART-related EP (ART-EP) research—encompassing its evolution, knowledge gaps, and collaboration patterns—remains lacking. This study aimed to systematically map the ART-EP research landscape, identify critical gaps, and characterize global collaborative networks in alignment with the evidence-based optimization goals of the European Society of Human Reproduction and Embryology.

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder, accounting for approximately 80%–95% of anovulatory infertility cases. Patients with PCOS face various challenges during in vitro fertilization and embryo transfer (IVF-ET) treatment, including a high rick of ovarian hyperstimulation syndrome (OHSS), reduced fertilization rates, and increased miscarriage risk. The clinical manifestations of PCOS are diverse, with common symptoms including menstrual irregularities, hyperandrogenism, and polycystic ovarian morphology. Notably, approximately 50%–75% of patients with PCOS are affected by obesity, which not only exacerbates the clinical manifestations of the disease but also potentially affects reproductive outcomes. Body mass index (BMI) significantly influences IVF-ET outcomes in patients with PCOS by affecting ovarian function, oocyte quality, and endometrial receptivity. This review aims to explore the impact and underlying mechanisms of BMI on IVF treatment outcomes in patients with PCOS and emphasize the importance of weight management, with the goal of providing evidence-based support for optimizing assisted reproductive strategies, thereby improving pregnancy rates and reducing the risk of complications.

Oral delivery platform is designed to protect therapeutic enzymes in the stomach and activate treatment selectively at tumour sites.

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.