Alchemilla vulgaris effects on egg production and quality expressed by heatstressed quail during the late laying period

Potential for mitigating effects of heat stress through dietary Alchemilla vulgaris (AV) supplementation during the late laying period of Japanese quail (Coturnix coturnix japonica) were investigated. A 2 x 3 factorial arrangement of environmental temperature (ET) regimes and levels of dietary supplementation with AV (0%, 1%, and 3%) was used in a 75-day experiment. Twenty-five quail were randomly assigned to each treatment with five replicate cages of five birds. The birds were housed in temperature-controlled rooms at 22 ± 2 °C for 24 h/day (TN) or 34 ± 2 °C between 09h00 and 17h00 followed by 22 ± 2 °C for 16 h/day (HS). The interaction of ET and supplement regimes was rarely significant. In HS quail supplemented with 1% AV, egg production was reduced and FCR was increased compared with the other treatments. Dietary AV was found to reduce egg production in TN conditions, but 3% AV supplementation in the HS group prevented decreased egg production and improved FCR. Various indicators of egg quality were significantly affected by supplementation with AV at certain times during the experiment. Most effects of HS on egg quality were manifest in the first 15 days of ET regimes. Although HS significantly decreased eggshell weight until 31–45 days, AV supplementation improved it on the 45th day and then maintained it through the end of the experiment. Thus, AV may mitigate some effects of HS by partially preventing decreased egg production and increased FCR during the late laying period of Japanese quail.Keywords: Coturnix coturnix japonica, flavonoids, supplemen

The outcome of 41 Late-Diagnosed Turkish GA-1 Patients: A Candidate for the Turkish NBS

Background: Glutaric aciduria type 1(GA-1) is an inherited cerebral organic aciduria. Untreated patients with GA-1 have a risk of acute encephalopathic crises during the first 6 years of life. In so far as GA-1 desperately does not exist in Turkish newborn screening (NBS) program, most patients in our study were late-diagnosed. / Method: This study included 41 patients diagnosed with acylcarnitine profile, urinary organic acids, mutation analyses in the symptomatic period. We presented with clinical, neuroradiological, and molecular data of our 41 patients. / Results: The mean age at diagnosis was 14.8 13.9 (15 days to 72 months) and, high blood glutaconic acid, glutarylcarnitine and urinary glutaric acid (GA) levels in 41 patients were revealed. Seventeen different mutations in the glutaryl-CoA dehydrogenase gene were identified, five of which were novel. The patients, most of whom were late-diagnosed, had a poor neurological outcome. Treatment strategies made a little improvement in dystonia and the frequency of encephalopathic attacks. / Conclusion: All GA-1 patients in our study were severely affected since they were latediagnosed, while others show that GA-1 is a treatable metabolic disorder if it is diagnosed with NBS. This study provides an essential perspective of the severe impact on GA-1 patients unless it is diagnosed with NBS. We immediately advocate GA-1 to be included in the Turkish NBS

2D recurrent neural networks for robust visual tracking of non-rigid bodies

© Springer International Publishing Switzerland 2016. The efficient tracking of articulated bodies over time is an essential element of pattern recognition and dynamic scenes analysis. This paper proposes a novel method for robust visual tracking, based on the combination of image-based prediction and weighted correlation. Starting from an initial guess, neural computation is applied to predict the position of the target in each video frame. Normalized cross-correlation is then applied to refine the predicted target position. Image-based prediction relies on a novel architecture, derived from the Elman’s Recurrent Neural Networks and adopting nearest neighborhood connections between the input and context layers in order to store the temporal information content of the video. The proposed architecture, named 2D Recurrent Neural Network, ensures both a limited complexity and a very fast learning stage. At the same time, it guarantees fast execution times and excellent accuracy for the considered tracking task. The effectiveness of the proposed approach is demonstrated on a very challenging set of dynamic image sequences, extracted from the final of triple jump at the London 2012 Summer Olympics. The system shows remarkable performance in all considered cases, characterized by changing background and a large variety of articulated motions

Antibacterial Properties of Sol-Gel Derived TiO₂ Nanoparticles

Efficient synthesis of antibacterial and antifungal titanium dioxide nano powders offers new advanced properties and opportunities for industrial applications. In the present study, TiO₂ nano particles were synthesized by sol-gel method using aqueous and alcoholic solutions of titanium tetraisopropoxide (TTIP). The effects of solvent type, support material (calcite, talk, zinc borate, silica) and drying temperature on antibacterial/antifungal and structural properties namely the average particle size and surface area of titania particles were investigated