Prospects for high-throughput estimates of photosynthetic parameters in tropical trees using the Dynamic Assimilation™ Technique.

Amazônia is a species-rich region of immense importance to Earth's water and carbon cycling. Photosynthesis drives the global carbon cycle, so understanding photosynthetic differences across diverse landscapes is a key task of ecophysiology and ecosystem science. Unfortunately, due to physiological and logistical constraints, ground-based photosynthesis data in Amazônia remains scarce, and the 'traditional' steady-state method (SS) of gas exchange is slow and inefficient.

Functional outcomes and healthcare utilization trends in postsurgical and nonsurgical patients following high-frequency (10 kHz) spinal cord stimulation therapy.

Introduction: Chronic low back pain (CLBP) is the leading cause of disability in the United States and is associated with a steadily increasing burden of healthcare expenditures. Given this trend, it is essential to evaluate interventions aimed at reducing disability and optimizing healthcare utilization (HCU) in affected populations. This study investigates the impact of prior spinal surgery on functional outcomes and HCU patterns following high-frequency (10 kHz) spinal cord stimulation (SCS) therapy.

Quantifying the Impact of Hair and Skin Characteristics on Signal Quality with Practical Recommendations for Improvement.

Functional Near-Infrared Spectroscopy (fNIRS) holds transformative potential for research and clinical applications in neuroscience due to its non-invasive nature and adaptability to real-world settings. However, despite its promise, fNIRS signal quality is sensitive to individual differences in biophysical factors such as hair and skin characteristics, which can significantly impact the absorption and scattering of near-infrared light. If not properly addressed, these factors risk biasing fNIRS research by disproportionately affecting signal quality across diverse populations.