eDNA metabarcoding uncovers fish biodiversity patterns in heavily damaged mountainous cascade dammed rivers
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 00:16 ET (27-Oct-2026 04:16 GMT/UTC)
High-resolution environmental DNA sampling reveals distinct spatiotemporal fish diversity dynamics and provides practical monitoring solutions for high-density cascade dam mountain rivers.
In recent years, numerous breakthroughs have been made in the generation and manipulation of structured light fields. For instance, Poincaré beams (PBs), which possess both inhomogeneous polarization distributions and helical wavefronts, allow for independent manipulation of their polarization and phase. These beams exhibit broad application prospects in fields such as laser processing, high-resolution imaging, and optical communications.
Windows contribute significantly to energy inefficiency across global infrastructure. Overcoming complex trade-offs in multispectral optical responses, scientists in China have developed a physics-guided neural network to design energy-efficient thermochromic smart windows for directional privacy protection. These inverse-designed windows achieve ultrahigh simultaneous modulation of near-infrared transmittance and longwave infrared emissivity. Applied to electric vehicles and building envelopes, these customized smart windows demonstrate superior, climate-adaptive all-weather thermal management.
Researchers developed asymmetric [3+2+1] coordinated iridium(III) complexes featuring strong electron-withdrawing groups for deep-blue phosphorescent OLEDs. The optimized device achieved a record external quantum efficiency of 29.0% with CIE coordinates of (0.147, 0.089), meeting NTSC standards. A hyper-OLED demonstrated an operational lifetime exceeding 2000 hours, and the emitters were successfully integrated into microdisplay technology.
This new review interrogates how bacterial persisters survive antibiotic exposure and drive the development of chronic, recurrent, and difficult-to-treat infections. The work distinguishes the difference among persistence, tolerance and resistance. It further synthesizes current understanding of persister pathobiology, as well as interactions between persister populations, the host, and co-occurring pathogens. Additionally, this review outlines emerging persister detection methods and promising therapeutic strategies to eradicate persister cells, including combination antibiotic therapies, metabolic targeting interventions, and host-directed anti-persister approaches.
A research team from Botswana International University of Science and Technology has developed a deep reinforcement learning framework to estimate network latency in telesurgery systems. The method uses a deep Q-network agent to first predict whether latency will increase or decrease and then translate that directional signal into a quantitative delay forecast. Tested on simulated teleoperation latency data, the framework achieved 85.8% direction prediction accuracy, a 35.8% improvement over a random classifier, as well as 7.23% mean absolute percentage error and 92.55% value accuracy for latency estimation. By providing both direction and value information, the approach may help future telesurgical systems anticipate changing network conditions and improve resilience during remote surgical operation.