On the Role of a Polymer Matrix in Enhancing Energy Transfer Efficiency Using Coumarin 6 and Rhodamine B as Donor and Acceptor Pairs.

This study investigates the critical role of polymer matrices in optimizing luminescence and energy transfer, utilizing the commercial dyes Coumarin 6 (C6) and Rhodamine B (RhB) as a donor-acceptor pair. Solution-phase experiments revealed a dependence of energy transfer efficiency on solvent dielectric constant. Furthermore, embedding the dyes within Poly(methyl methacrylate) (PMMA) or Poly(vinyl butyral) (PVB) matrices significantly enhance energy transfer due to increased molecular proximity.

Cognitive aspects of motor control deteriorate while off treatment following subthalamic nucleus deep brain stimulation surgery in Parkinson's disease.

Introduction: The long-term effects of surgery for subthalamic nucleus deep brain stimulation (STN-DBS) on cognitive aspects of motor control for people with Parkinson's disease (PD) are largely unknown. We compared saccade latency and reach reaction time (RT) pre- and post-surgery while participants with PD were off-treatment.

Methods: In this preliminary study, we assessed people with PD approximately 1 month pre-surgery while OFF medication (OFF-MEDS) and about 8 months post-surgery while OFF medication and STN-DBS treatment (OFF-MEDS/OFF-DBS).

Substance P and Neurokinin-1 receptor are overexpressed in adamantinomatous craniopharyngioma than in the pituitary gland.

Background: Human adamantinomatous craniopharyngioma (ACP) is a brain tumor that originates at the base of the skull and shows aggressive local behavior, invading sensitive structures such as the optic pathways and hypothalamus. The conventional treatment of the tumor has been surgery and radiotherapy with the consequent development of serious sequelae. It is well known that Substance P (SP) peptide and Neurokinin-1 receptor (NK-1R) are involved in inflammation and cancer progression and its blockage with NK-1R antagonists has been shown to effectively counteract tumor development in preclinical trials.

Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring.

Remote patient monitoring has emerged as a prominent non-invasive method, using digital technologies and computer vision (CV) to replace traditional invasive monitoring. While neonatal and pediatric departments embrace this approach, Pediatric Intensive Care Units (PICUs) face the challenge of occlusions hindering accurate image analysis and interpretation. In this study, we propose a hybrid approach to effectively segment common occlusions encountered in remote monitoring applications within PICUs.