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749, 0.179, and 0.629 for “source only” training. Our brightness-based data augmentation reaches DSCs of 0.837, 0.701, and 0.734, which outperforms the morphons registration algorithms for the bladder (0.813) and rectum (0.653), while performing similarly on the prostate (0.731). The proposed adversarial training framework can be used for any segmentation application where training and test distributions differ. Our intensity-based data augmentation can be used for CBCT segmentation to help achieve the prescribed dose on target and lower the dose delivered to healthy organs.Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventricular System (CVS). This condition can develop into life-threatening hydrocephalus and is correlated with future neuro-developmental impairments. Consequently, it must be detected and monitored by physicians. In clinical routing, manual 2D measurements are performed on 2D ultrasound (US) images to estimate the CVS volume but this practice is imprecise due to the unavailability of 3D information. A way to tackle this problem would be to develop automatic CVS segmentation algorithms for 3D US data. In this paper, we investigate the potential of 2D and 3D Convolutional Neural Networks (CNN) to solve this complex task and propose to use Compositional Pattern Producing Network (CPPN) to enable Fully Convolutional Networks (FCN) to learn CVS location. Our database was composed of 25 3D US volumes collected on 21 preterm nenonates at the age of 35.8±1.6 gestational weeks. We found that the CPPN enables to encode CVS location, which increases the accuracy of the CNNs when they have few layers. LAQ824 Accuracy of the 2D and 3D FCNs reached intraobserver variability (IOV) in the case of dilated ventricles with Dice of 0.893±0.008 and 0.886±0.004 respectively (IOV = 0.898±0.008) and with volume errors of 0.45±0.42 cm3 and 0.36±0.24 cm3 respectively (IOV = 0.41±0.05 cm3). 3D FCNs were more accurate than 2D FCNs in the case of normal ventricles with Dice of 0.797±0.041 against 0.776±0.038 (IOV = 0.816±0.009) and volume errors of 0.35±0.29 cm3 against 0.35±0.24 cm3 (IOV = 0.2±0.11 cm3). The best segmentation time of volumes of size 320×320×320 was obtained by a 2D FCN in 3.5±0.2 s.The purpose of this study was to investigate if baicalein and chlorogenic acid could inhibit the inflammatory responses induced by and protect against infectious bursal disease virus (IBDV) in chicken embryonic eggs. Nine-day-old embryonated chicken eggs were randomly divided into 3 groups of 50 eggs per group 1) treatment with varying concentrations of baicalein, 2) treatment with varying concentrations of chlorogenic acid, or 3) left untreated as a control. Forty-eight hours after hatching, each group was inoculated with a very virulent IBDV isolate, and the survival of the embryo was monitored daily until the embryonic livers were collected 72 h after inoculation. After IBDV infection, the viral loads in the embryonic livers were evaluated using qRT-PCR, and the hepatic content of inflammatory mediators, such as histamine, interleukin 1β (IL-1β), tumor necrosis factor alpha (TNF-α), and nuclear factor-kappa B (NF-κB), were examined. Significant antiviral potential was demonstrated at concentrations of 108 and 215 μg/egg of baicalein and chlorogenic acid, respectively. We observed a concentration-dependent response in the antiviral properties of these chemicals. Treating the embryos with baicalein and chlorogenic acid significantly reduced histamine production. Moreover, pretreatment with baicalein and chlorogenic acid significantly inhibited NF-κB activation, and this inhibited the subsequent production of the proinflammatory cytokines TNF-α and IL-1β in the context of IBDV infection. These findings suggest that baicalein and chlorogenic acid have anti-IBDV properties, and they may be useful in the prevention of inflammation-related diseases.Bedding (litter) is essential to poultry performance and health and can have an environmental impact after use in the poultry facility such as a soil amendment or as an alternative energy source. Pine shavings are the most common bedding used for turkey production. However, the increase in its price and its increasing scarcity in some areas have created new research opportunities for reusing litter as bedding. Improvement in feed pellet quality has been reported to improve poultry performance. However, the reports for turkeys are limited and dated. This study’s objective was to determine how the improvement of feed pellet quality and the use of biochar added to a combination of used turkey brooder house litter and Miscanthus grass as bedding affects turkey performance, small intestine morphology, and ammonia production. Nicolas Select (Aviagen Turkeys, Lewisburg, WV) male poults (816) were randomly assigned to 48 concrete litter floor pens on the day of hatch. The experiment used a completely randomized blocks in feed through feed formulation, feed manufacturing, feed transport, and in-house feed management should be considered to increase male turkeys’ performance. There may be opportunities to use biochar as a litter amendment to improve turkey health and performance.The ability to reversibly switch bioelectrocatalytic sensors is attractive for the design of biomonitoring platforms displaying a complex environmental response, or for the protection of biosensors. However, the retention of reversible biocatalytic properties upon multiple environmental cycles, with broad detection range, low signal-to-noise and limit of detection remains challenging. In this report, we demonstrate the precise positioning of the enzyme glucose oxidase within block-copolymer brush nanostructures, via the re-initiation of N-isopropylacrylamide (NIPAM) polymerisation from enzyme-decorated poly(dimethylaminoethyl methacrylate) (PDMAEMA) blocks. We find that the precise design of polymer brush grafting density, thickness and crosslinking of the PNIPAM block enables the stable positioning of biocatalytic sites close to electrode surfaces. The control of the polymer brush nanostructure, its conformation and the distribution of biocatalytic sites is characterised via a combination of in situ ellipsometry, X-ray photoelectron spectroscopy, grazing angle FTIR and surface plasmon resonance.