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The effects of abducted standing on hip migration percentage (MP) and range of hip and knee motion in children with cerebral palsy were studied for more than 7 years in 2 case-control groups. One group had adductor-psoas tenotomy and the other did not.
Case participants performed 15° to 30° of abduction per hip. Controls performed 0° to 10° of abduction and were matched on age, surgery, and follow-up time.
Median MP decreased 7.0% in the participants without surgery, increased 6.5% in their matched participant, and decreased 3.5% in the participants who had adductor-psoas tenotomy. Migration percentage decreased 18% in participants who after surgery performed abducted standing. Range of motion was greater after surgery in participants who performed standing abduction.
Standing abduction at 15° to 30° for 10 h/wk reduces MP and preserves range of motion for up to 7 years. This is a new contribution to research for children with cerebral palsy.
Standing abduction at 15° to 30° for 10 h/wk reduces MP and preserves range of motion for up to 7 years. This is a new contribution to research for children with cerebral palsy.
To characterize by evidence grades and examine variation in type of physical therapy intervention delivered in routine clinical care in individuals with cerebral palsy (CP).
Retrospective data collection from the electronic record over 1 year at a tertiary care pediatric outpatient therapy division.
Four hundred sixty-five individuals with CP received 28 344 interventions during 4335 treatment visits. Sixty-six percent of interventions were evidence-based interventions (EBIs). Significant variation was demonstrated across Gross Motor Function Classification System levels, with children classified as level V receiving the least and level III the most. The most frequent EBIs delivered were caregiver education, motor control, functional strengthening, ankle-foot orthoses, treadmill training, and fit of adaptive equipment.
Further work is needed to determine whether amount of EBI is related to better outcomes. Combining this information with other aspects of dose (intensity, time, and frequency) may elucidate the contribution of each with outcomes.
Further work is needed to determine whether amount of EBI is related to better outcomes. Combining this information with other aspects of dose (intensity, time, and frequency) may elucidate the contribution of each with outcomes.Occupational dust exposure induces inflammatory responses that often precede the onset of clinical disease. Inflammation in the peripheral part of the lung can be demonstrated by measuring the alveolar NO concentration (CANO) in exhaled breath. The aim of the study was to assess whether cumulative dust exposure affects the change in CANO during follow-up and whether baseline CANO can predict an impairment in lung function during follow-up in foundry workers. We examined 74 dust-exposed and 42 nonexposed foundry workers and measured CANO and lung function at baseline and after 7 years of follow-up. An increase in CANO during the follow-up period was positively associated with cumulative dust exposure in foundry work (p= 0.035). Furthermore, a higher baseline CANO was associated with an accelerated decline in the forced vital capacity (FVC) during the follow-up period (absolute decrease in FVCp= 0.021, relative decrease in FVCp= 0.017). Higher cumulative dust exposure in foundry work is associated with a greater increase in CANO during follow-up, suggesting ongoing pulmonary inflammation in these subjects. Importantly, a high baseline CANO is associated with an accelerated decline in lung function, suggesting that CANO measurements might serve as a screening tool for high-risk workers.In this work, we consider the task of image reconstruction in 2D radial cardiac cine MRI using deep learning (DL)-based regularization. As the regularization is achieved by employing an image-prior predicted by a pre-trained convolutional neural network (CNN), the quality of the image-prior is of essential importance. The achievable performance of any DL-based method is limited by the amount and the quality of the available training data. For fast dynamic processes, obtaining good-quality MR data is challenging because of technical and physiological reasons. In this work, we try to overcome these problems by a transfer-learning approach which is motivated by a previously presented DL-method (XT,YT U-Net). There, instead of training the network on the whole 2D dynamic images, it is trained on 2D spatio-temporal profiles (xt,yt-slices) which show the temporal changes of the imaged object. Therefore, for the training and test data, it is more important that their spatio-temporal profiles share similar local features rather than being images of the same anatomy. This allows us to equip arbitrary data with simulated motion that resembles the cardiac motion and use it as training data. By doing so, it is possible to train a CNN which is applicable to cardiac cine MR data without using ground-truth cine MR images for training. We demonstrate that combining XT,YT U-Net with the proposed transfer-learning strategy delivers comparable performance to CNNs trained on cardiac cine MR images and in some cases even qualitatively surpasses these. Additionally, the transfer-learning strategy was investigated for a 2D and 3D U-Net. The images processed by the the CNNs were used as image-priors in the CNN-regularized iterative reconstruction. see more The XT,YT U-Net yielded visibly better results than the 2D U-Net and slightly better results than the 3D U-Net when used in combination with the presented transfer learning-strategy.Rechargeable Zn-air batteries are a promising type of metal-air batteries for high-density energy storage. However, their practical use is limited by the use of costly noble-metal electrocatalysts for the sluggish kinetics of the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) occurred at the air electrode of the Zn-air batteries. This work reports a new non-precious bifunctional OER/ORR electrocatalyst of NiSx/carbon nanotubes (CNTs), which is made by atomic layer deposition (ALD) of nickel sulfide (NiSx) on CNTs, for the applications for the air electrode of the Zn-air batteries. The NiSx/CNT electrocatalyst on a carbon cloth electrode exhibits a low OER overpotential of 288 mV to reach 10 mA cm-2in current density, and the electrocatalyst on a rotating disk electrode exhibits a half-wave ORR potential of 0.81 V in alkaline electrolyte. With the use of the NiSx/CNT electrocatalyst for the air electrode, the fabricated aqueous rechargeable Zn-air batteries show a fairly good maximum output power density of 110 mW cm-2, which highlights the great promise of the ALD NiSx/CNT electrocatalyst for Zn-air batteries.