Phenolic compound production by different morphological phenotypes in hairy root cultures of Fagopyrum tataricum Gaertn.

Hairy roots were obtained after inoculating sterile young stems of Fagopyrum tataricum with Agrobacterium rhizogenes R1000. The established roots displayed two morphological phenotypes when cultured on hormone-free medium containing Murashige-Skoog salts and vitamins. The thin phenotype had a higher growth rate than the thick phenotype. Further, the phenolic compound content of the thin phenotype was higher than that of the thick phenotype. In terms of their total dry weight, the thin phenotype produced an almost double amount of (-)-epigallocatechin as well as more than 51.5% caffeic acid, 65% chlorogenic acid, and 40% rutin compared to the thick phenotype after 21 days of culture. Therefore, selection of the optimal morphological phenotype of hairy roots of tartary buckwheat is an important factor for improved phenolic compound production

EXPLORATIVE STUDY ON THE CYBER-ATTACK SOURCE TRACEBACK TECHNOLOGIES FOR BRIGHT INTERNET

In order to cope with the various types of cyber-attacks in the Internet, several methods of tracking the source of attack have been developed. However, until recently, most of them are defensive security methods rather than preventive one. In order to settle the Bright Internet, which is still in its early stage, it is necessary to establish a technical source tracking method. For this, a standard and evaluation criteria are needed to determine which technology would be appropriate for the Bright Internet requirements. In this paper, we classify cyber-attack source traceback technologies and derive some criteria for the evaluation of the technologies for the Bright Internet. Using the criteria, we can evaluate existing traceback technologies from the perspective of the Bright Internet. In this article, we try to evaluate SAVA, PPM, iTrace, Controlled flooding, Input Debugging, Central Track, IPSec, SPIE(Hash-based), and Marking+Logging methods. Based on this research, future research will require in-depth verification of traceback technologies that reflects all the principles of the Bright Internet in practice

Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network

There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins. Recently, self-supervised methods have attracted attention because constructing a large real noise dataset for supervised training is an enormous burden. The most representative self-supervised denoisers are based on blind-spot networks, which exclude the receptive field's center pixel. However, excluding any input pixel is abandoning some information, especially when the input pixel at the corresponding output position is excluded. In addition, a standard blind-spot network fails to reduce real camera noise due to the pixel-wise correlation of noise, though it successfully removes independently distributed synthetic noise. Hence, to realize a more practical denoiser, we propose a novel self-supervised training framework that can remove real noise. For this, we derive the theoretic upper bound of a supervised loss where the network is guided by the downsampled blinded output. Also, we design a conditional blind-spot network (C-BSN), which selectively controls the blindness of the network to use the center pixel information. Furthermore, we exploit a random subsampler to decorrelate noise spatially, making the C-BSN free of visual artifacts that were often seen in downsample-based methods. Extensive experiments show that the proposed C-BSN achieves state-of-the-art performance on real-world datasets as a self-supervised denoiser and shows qualitatively pleasing results without any post-processing or refinement

Association between depression, anemia and physical activity using isotemporal substitution analysis

Abstract Background Depression is a leading cause of disability and mortality, with estimated number of deaths exceeding 2.2million worldwide. We examined depression in relation to anemia and physical activity, both of which have an impact on depression mechanisms. Methods This cross-sectional study used data from the Korean National Health and Nutrition Examination Survey, including 18,622 participants. Depression was measured by The Patient Health Questionnaire-9, and physical activity was assessed by the Global Physical Activity Questionnaire. Anemia was defined by World Health Organization criteria for blood hemoglobin levels. Isotemporal substitution model for physical activity was used to assess the effect of replacing sedentary behavior to each intensity level of physical activity. Logistic regression was applied to estimate the association on depression. Results Replacing sedentary behavior with moderate or vigorous physical activity was associated with a lower risk of depression in the anemic (OR: 0.875, 95% CI: 0.782–0.978) and non-anemic groups (OR: 0.943, 95% CI: 0.919–0.967). Depression risk was significantly reduced by replacing walking with moderate to vigorous physical activity in both anemic (OR: 0.877, 95% CI: 0.784–0.982) and non-anemic groups (OR: 0.951, 95% CI: 0.927–0.976). Conclusions Moderate to vigorous physical activity had a protective association against depression in both anemic and non-anemic groups. Anemic patients are recommended to perform physical activity for any duration acceptable to them to prevent depression

The peroxisomal multifunctional protein interacts with cortical microtubules in plant cells

BACKGROUND: The plant peroxisomal multifunctional protein (MFP) possesses up to four enzymatic activities that are involved in catalyzing different reactions of fatty acid β-oxidation in the peroxisome matrix. In addition to these peroxisomal activities, in vitro assays revealed that rice MFP possesses microtubule- and RNA-binding activities suggesting that this protein also has important functions in the cytosol. RESULTS: We demonstrate that MFP is an authentic microtubule-binding protein, as it localized to the cortical microtubule array in vivo, in addition to its expected targeting to the peroxisome matrix. MFP does not, however, interact with the three mitotic microtubule arrays. Microtubule co-sedimentation assays of truncated versions of MFP revealed that multiple microtubule-binding domains are present on the MFP polypeptide. This indicates that these regions function together to achieve high-affinity binding of the full-length protein. Real-time imaging of a transiently expressed green fluorescent protein-MFP chimera in living plant cells illustrated that a dynamic, spatial interaction exits between peroxisomes and cortical microtubules as peroxisomes move along actin filaments or oscillate at fixed locations. CONCLUSION: Plant MFP is associated with the cortical microtubule array, in addition to its expected localization in the peroxisome. This observation, coupled with apparent interactions that frequently occur between microtubules and peroxisomes in the cell cortex, supports the hypothesis that MFP is concentrated on microtubules in order to facilitate the regulated import of MFP into peroxisomes

EST sequencing and gene expression profiling in Scutellaria baicalensis

Scutellaria baicalensis is an important medicinal plant, but few genomic resources are available for this species, as well as for other non-model plants. One of the major new directions in genome research is to discover the full spectrum of genes transcribed from the whole genome. Here, we report extensive transcriptome data of the early growth stage of S. baicalensis. This transcriptome consensus sequence was constructed by de novo assembly of shotgun sequencing data, obtained using multiple next-generation DNA sequencing (NGS) platforms (Roche/454 GS_FLX+ and Illumina/Solexa HiSeq2000). We show that this new approach to obtain extensive mRNA is an efficient strategy for genome-wide transcriptome analysis. We obtained 1,226,938 and 161,417,646 reads using the GS_FLX and the Illumina/Solexa HiS-eq2000, respectively. De novo assembly of the high-quality GS_FLX and Illumina reads (95 % and 75 %) resulted in more than 82 Mb of mRNA consensus sequence, which we assembled into 51,188 contigs, with at least 500 bp per contig. Of these contigs, 39,581 contained known genes, as determined by BLASTX searches against non-redundant NCBI database. Of these, 20,498 different genes were expressed during the early growth stage of S. baicalensis. We have made the expressed sequences available on a public database. Our results demonstrate the utility of combining NGS technologies as a basis for the development of genomic tools in non-model, medicinal plant species. Knowledge of all described genes and quantitation of the expressed genes, including the transcription factors involved, will be useful in studies of the biology of S. baicalensis gene regulation

Far-Ultraviolet Cooling Features of the Antlia Supernova Remnant

We present far-ultraviolet observations of the Antlia supernova remnant obtained with Far-ultraviolet IMaging Spectrograph (FIMS, also called SPEAR). The strongest lines observed are C IV 1548,1551 and C III 977. The C IV emission of this mixed-morphology supernova remnant shows a clumpy distribution, and the line intensity is nearly constant with radius. The C III 977 line, though too weak to be mapped over the whole remnant, is shown to vary radially. The line intensity peaks at about half the radius, and drops at the edge of the remnant. Both the clumpy distribution of C IV and the rise in the C IV to C III ratio towards the edge suggest that central emission is from evaporating cloudlets rather than thermal conduction in a more uniform, dense medium.Comment: 9 pages, 4 figures, will be published in ApJ December 1, 2007, v670n2 issue. see http://astro.snu.ac.kr/~jhshinn/ms.pd

All-perovskite tandem solar cells : from fundamentals to technological progress

Organic-inorganic perovskite materials have gradually progressed from single-junction solar cells to tandem (double) or even multi-junction (triple-junction) solar cells as all-perovskite tandem solar cells (APTSCs). Perovskites have numerous advantages: (1) tunable optical bandgaps, (2) low-cost, e.g. via solution-processing, inexpensive precursors, and compatibility with many thin-film processing technologies, (3) scalability and lightweight, and (4) eco-friendliness related to low CO2 emission. However, APTSCs face challenges regarding stability caused by Sn2+ oxidation in narrow bandgap perovskites, low performance due to Voc deficit in the wide bandgap range, non-standardisation of charge recombination layers, and challenging thin-film deposition as each layer must be nearly perfectly homogenous. Here, we discuss the fundamentals of APTSCs and technological progress in constructing each layer of the all-perovskite stacks. Furthermore, the theoretical power conversion efficiency (PCE) limitation of APTSCs is discussed using simulations.German Research FoundationSpanish Ministry of Science and EducationAEIFederal Ministry for Economic Affairs and EnergyIsrael Ministry of EnergyEuropean CommissionEuropean Research CouncilGerman Bundesministerium für Bildung and Forschung (BMBF)National Research Foundation of KoreaMinistry of Science, ICT & Future Planning (MSIP