16 research outputs found
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Organic acids, sugars, vitamin C, antioxidant capacity, and phenolic compounds in fruits of white (Morus alba L.) and black (Morus nigra L.) mulberry genotypes
Mulberries (Morus spp) are historically grown in particular microclimatic regions in Eastern Anatolia, including Aras valley. In the valley, mulberries are one of the ancient crop and used for several purposes by local people. The aim of the present study was to first time evaluate organic acids, sugars, vitamin C, antioxidant capacity (TEAC assay, Trolox Equivalent Antioxidant Capacity). and phenolic compounds of the historical black and white mulberry genotypes growing Aras valley in Turkey. Results showed that, species and genotypes strongly influenced the chemical content and antioxidant capacity (p<0.05). Malic acid was the main organic acid in all genotypes and ranged from 1.130 to 3.040 g/100 g. Among sugars, fructose and glucose are predominant and were between 4.177 and 7.700 g/100g and 5.337 and 8.573 g/100g in all mulberry genotypes, respectively. The black mulberry genotypes showed remarkably higher antioxidant capacity determined by TEAC assay (10.167 to 14.400 µ mol TE/g) compared to white mulberry genotypes (6.170 to 9.273 µmol TE/g). Chlorogenic acid and rutin was the main phenolic compound.This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Julius Kühn-Institut - Bundesforschungsinstitut für Kulturpflanzen. The published article can be found at: http://pub.jki.bund.de/index.php/JABFQ/indexKeywords: bioactive content, genotypic effect, mulberr
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
Generating realistic 3D faces is of high importance for computer graphics and
computer vision applications. Generally, research on 3D face generation
revolves around linear statistical models of the facial surface. Nevertheless,
these models cannot represent faithfully either the facial texture or the
normals of the face, which are very crucial for photo-realistic face synthesis.
Recently, it was demonstrated that Generative Adversarial Networks (GANs) can
be used for generating high-quality textures of faces. Nevertheless, the
generation process either omits the geometry and normals, or independent
processes are used to produce 3D shape information. In this paper, we present
the first methodology that generates high-quality texture, shape, and normals
jointly, which can be used for photo-realistic synthesis. To do so, we propose
a novel GAN that can generate data from different modalities while exploiting
their correlations. Furthermore, we demonstrate how we can condition the
generation on the expression and create faces with various facial expressions.
The qualitative results shown in this paper are compressed due to size
limitations, full-resolution results and the accompanying video can be found in
the supplementary documents. The code and models are available at the project
page: https://github.com/barisgecer/TBGAN.Comment: Check project page: https://github.com/barisgecer/TBGAN for the full
resolution results and the accompanying vide
Effects of local phenytoin on seroma formation after mastectomy and Axillary lymph node dissection: an experimental study on mice
Design and analysis of a modular learning based cross-coupled control algorithm for multi-axis precision positioning systems
In vitro and in vivo antioxidant activities of soy protein isolate fermented with Bacillus subtilis natto
Unlocking students’ motivation in the blended higher education classroom: Lecturers’ perspectives
Impact of flavonol extracts derived from green tea or targeted flavonols as secondary ingredients on intestinal glucose transport
Study of programmed cell death in bovine herpesvirus 1 infected MDBK cells and the possible role of nitric oxide in this process
Bovine herpesvirus 1 (BHV-1) is the aetiological agent of many disease types and may predispose infected animals, possibly through immunosuppression, to secondary bacterial infections. Immunosuppression may directly be associated with the induction of programmed cell death (PCD) in some virus-infected cells. Nitric oxide (NO) has an important mediating role against fungal, bacterial, protozoal, viral pathogens and tumours. BHV-1 induced apoptosis between 0.5-3 h postinfection (PI) in MDBK cells; however, between 3 and 6 h PI the PCD response was found to be decreased. It was interesting to see that BHV-1 inhibited staurosporin-induced PCD after 1 h. These results showed similarities with those obtained from herpes simplex type 1 infections in human epithelial cells. PCD response decreased 1 h following caspase-3 inhibitor applications, whereas NO response increased 3 h following infection in the presence of caspase-8 and -9 inhibitory peptides. In conclusion, BHV-1 inhibited the staurosporin-induced apoptotic response and also the NO response. We propose that this inhibition is caspase-3 dependent