The association of low birth weight and development of retinopathy of prematurity (ROP) is well established for singletons; however, the association of birth weight and ROP in twins of discordant weight is understudied. Using an ROP registry, we investigated whether smaller twins were at greater risk for developing any stage ROP (stage 1 or greater in either eye) compared with their larger siblings, after adjusting for birth weight and gestational age. Discordance was defined as a birth weight difference of >25%.
View Article and Find Full Text PDFPurpose: To characterize long-term functional and anatomical outcomes in patients with familial exudative vitreoretinopathy (FEVR).
Methods: A retrospective chart review was conducted of all patients with a diagnosis of FEVR at a tertiary academic institution and its affiliated children's hospital treated from January 2003 through January 2024. Demographic and clinical data were collected.
Four new and one previously reported silver 4,4'-vinylenedipyridine (Vpe) coordination polymers were tested as anion exchange materials to assess their potential for pollutant sequestration and compared to analogous silver 4,4'-bipyridine (bipy) coordination polymers. The materials were synthesized using nitrate, tetrafluoroborate, perchlorate, perrhenate, or chromate as the anion to produce cationic coordination polymers with solubilities ranging from 0.0137(7) to 0.
View Article and Find Full Text PDFOne of the most robust approaches to the prediction of causal driver genes of complex diseases is to apply reverse engineering methods to infer a gene regulatory network (GRN) from gene expression profiles (GEPs). In this work, we analysed 794 GEPs of 1117 human whole-blood samples from Amyotrophic Lateral Sclerosis (ALS) patients and healthy subjects reported in the GSE112681 dataset. GRNs for ALS and healthy individuals were reconstructed by ARACNe-AP (Algorithm for the Reconstruction of Accurate Cellular Networks - Adaptive Partitioning).
View Article and Find Full Text PDFUser engagement, cognitive participation, and motivation during task execution in physical human-robot interaction are crucial for motor learning. These factors are especially important in contexts like robotic rehabilitation, where neuroplasticity is targeted. However, traditional robotic rehabilitation systems often face challenges in maintaining user engagement, leading to unpredictable therapeutic outcomes.
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