The impacts of alien species on river bioassessment.

The extent of alien taxa impacts on river ecosystem health is unclear, but their frequency continues to rise. We investigated 1) the prevalence of including alien taxa in common bioindicators used in river bioassessment, 2) the effect of alien taxa on the richness and abundance of natives, and 3) whether including alien taxa in bioassessment tools increased their sensitivity to river degradation. In the 17 countries analyzed fish represented the greatest number of alien species (1726), followed by macrophytes (925), macroinvertebrates (556), and diatoms (7).

Semisynthesis of Alkaloid Derivatives: Pyranoacridone-Hydroxamic Acid Cytotoxic Conjugates with HDAC and Topoisomerase II α Dual Inhibitory Activity.

Inspired by our previous efforts in the semisynthetic modification of naturally occurring pyranoacridones, we report the targeted design and semisynthesis of dual inhibitors of HDAC and topoisomerase II α (Topo II α) derived from des--methylacronycine () and noracronycine () pyranoacridone alkaloids. Designed from the clinically approved SAHA, the cytotoxic pyranoacridone nuclei from the alkaloids served as the capping group, while a hydroxamic acid moiety functioned as the zinc-binding group. Out of 16 compounds evaluated in an cytotoxicity assay, KT32 () with noracronycine () as the capping group and five-carbon linker hydroxamic acid side chains showed good cytotoxic activity with IC values of 1.

Typical Atrial Flutter: A Practical Review.

Typical atrial flutter (AFL), defined as cavotricuspid isthmus (CTI)-dependent macro-re-entrant atrial tachycardia, often causes debilitating symptoms, and is associated with increased incidence of atrial fibrillation, stroke, heart failure, and death. Typical AFL occurs in patients with atrial remodeling and shares risk factors with atrial fibrillation. It is also common in patients with a history of prior heart surgery or catheter ablation.

Carbon dot-based fluorescent sensors for pharmaceutical detection: Current innovations, challenges, and future prospects.

Environmental contamination by pharmaceuticals has become a matter of concern as they are released in sewage systems at trace levels, thus impacting biological systems. Increasing concerns about the low-level occurrence of pharmaceuticals in the environment demands sensitive and selective monitoring. Owing to their high sensitivity and specificity carbon dots (CDs) have emerged as suitable fluorescent sensors.

Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks.

Quantum computing and machine learning convergence enable powerful new approaches for optimizing mobile edge computing (MEC) networks. This paper uses Lyapunov optimization theory to propose a novel quantum machine learning framework for stabilizing computation offloading in next-generation MEC systems. Our approach leverages hybrid quantum-classical neural networks to learn optimal offloading policies that maximize network performance while ensuring the stability of data queues, even under dynamic and unpredictable network conditions.