Florida National University is a private for-profit university in Hialeah, Florida. It was established in 1988. The student body is diverse, though primarily Hispanic. It is accredited by the Southern Association of Colleges and Schools (SACS).
Surface fronts are common features across the world's oceans, particularly in estuarine and coastal regions where the merging of freshwater and saltwater creates strong density gradients. It has long been documented that fronts in these regions can trap and concentrate various properties such as floating debris, nutrients, larvae, and other buoyant materials. The prediction of such fronts has important implications for environmental protection, search and rescue operations, and scientific research. However, the realistic simulation of such features remains a challenge. In this study, we apply a high‐resolution, numerical circulation model of Tampa Bay and the adjacent West Florida Shelf to predict surface fronts by computing surface convergence. The accuracy of the simulation is evaluated using drone and satellite imagery. The simulated convergence fields are then analyzed by a Self‐Organizing Map, an unsupervised machine learning method. Our findings show that convergence patterns vary with tidal phases (ebb and flood) as well as the spring–neap tidal cycle. This study provides a new framework for improving monitoring strategies and reducing observational bias. Although every estuary is unique, the physical mechanisms of frontogenesis are universal. Therefore, the method we propose can be applied to other estuarine systems and serve as a valuable tool for interdisciplinary research in estuarine and coastal environments.
Metal halides are an important class of optoelectronic materials combining exceptional optical and electronic properties. An inherent advantage of metal halides is their solution synthesis and processability, which render them as low-cost and environmentally friendly materials for a range of applications from photovoltaics and photodetection to solid-state lighting (SSL). In this study, we synthesized three previously unreported lead-free organic-inorganic hybrid copper halides: (OA)4CuX5 (X = Br, I; OA* = C8H17NH3* , n-octylammonium cation) and (HA)2CuI3 (HA* = C6H13NH3* , n-hexylammonium cation), all of which exhibit broadband emissions arising from self-trapped excitons (STEs). Among these compounds, (OA)4CuI5 demonstrates tunable dual-band white-light emission with a high color rendering index value of 91 at room temperature. Temperature-dependent photoluminescence measurements and first-principles calculations reveal distinct behaviors between the two emission states in (OA)4CuI5. These findings highlight the potential of copper halide compounds for optoelectronic applications, particularly in the development of environmentally friendly solid-state lighting technologies. (c) 2025 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
High-temperature decomposition of pyridine, C5H5N, occurs during waste incineration, pyrolysis of biomass and coal. In the present work, the rate constants of H atom abstraction from C5H5N by H, CH3, CN, C2H3, CHCHCN and nC4H3 radicals have been calculated at the DLPNO-CCSD(T)-F12/cc-pVDZ-F12//M06-2X/def2-TZVP level of theory from 300 to 2000 K. The new rate constants obtained in the present work, in most cases are notably different from the expressions suggested in the earlier studies on pyridine pyrolysis or derived in theoretical calculations. Only for reactions of H atom abstraction by H, a reasonable agreement was found. It was revealed that the formation of ortho-, meta-, and para-pyridyls could be of equal importance and, therefore, all pyridyl isomers should be considered in detailed kinetic mechanisms for pyridine.
Piezoresistive pressure sensors enable non-invasive pulse waveform monitoring by directly measuring arterial pressure, offering crucial insights for cuffless blood pressure monitoring systems. Unlike photoplethysmography (PPG), which estimates blood volume changes through light reflection and is prone to artifacts such as motion and ambient light interference, piezoresistive sensors offer direct mechanical detection, resulting in improved accuracy and reliability under dynamic conditions. This review explores the biomechanics of arterial pulse pressure, current methodologies for pulse waveform detection, and recent innovations in piezoresistive sensor materials and designs, including micropatterned and porous structures. Piezoresistive sensors excel in wearable applications due to their straightforward signal acquisition, lower susceptibility to noise, and high sensitivity across relevant pressure ranges. Additionally, the integration of artificial intelligence (AI), predominantly applied to PPG and electrocardiogram (ECG) data, is examined for its potential to enhance the analysis of mechanical pulse waveforms, enabling more robust anomaly detection and cardiovascular disease (CVD) prediction. By combining advances in sensor technology with AI-driven signal interpretation, piezoresistive sensors are poised to play a transformative role in developing continuous, non-invasive health monitoring systems. Future directions include addressing fabrication challenges, optimizing sensor design for motion artifact resistance, and expanding AI applications to leverage the unique benefits of piezoresistive technology.
BackgroundEvidence suggests that treating relapsing multiple sclerosis (RMS) initially with a high-efficacy disease-modifying therapy (DMT) is superior to an escalating approach at reducing disability progression and relapse rate.ObjectivesTo evaluate the efficacy of ublituximab versus teriflunomide in participants without prior DMT (treatment-naïve population) and in a subset of treatment-naïve participants with symptom onset ≤ three years (early treatment subpopulation).MethodsPooled post hoc analyses of ULTIMATE I/II were conducted at Week 96.ResultsThe annualized relapse rate was 0.081 for ublituximab (n = 345) versus 0.188 for teriflunomide (n = 377) (p < 0.001) in the treatment-naïve population and 0.130 for ublituximab (n = 139) versus 0.334 for teriflunomide (n = 140) in the early treatment subpopulation (p = 0.004). Twelve-week confirmed disability improvement rates were 10.7% versus 5.3% (p = 0.010) in the treatment-naïve population and 14.4% versus 3.6% (p = 0.002) in the early treatment population (ublituximab vs. teriflunomide). Significant reductions in gadolinium-enhancing T1 lesions and new/enlarging T2 lesions, respectively, occurred for ublituximab versus teriflunomide (treatment naïve: 0.031 vs. 0.791 and 0.390 vs. 4.144; p < 0.001 for both; early treatment: 0.051 vs. 1.030 and 0.508 vs. 6.068; p < 0.001 for both).ConclusionsUblituximab was associated with significant treatment benefits at Week 96 in treatment-naïve participants and those receiving treatment within three years of symptom onset.Clinical trial registrationhttps://clinicaltrials.gov/study/NCT03277261 and https://clinicaltrials.gov/study/NCT03277248, identifiers NCT03277261 and NCT03277248.
