scholarly journals Flavan-3-ols Content in Red Raspberry Leaves Increases under Blue Led-Light Irradiation

Metabolites ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 56 ◽  
Author(s):  
Ryo Kobori ◽  
Seiya Hashimoto ◽  
Hayato Koshimizu ◽  
Shuich Yakami ◽  
Mizuki Hirai ◽  
...  
Keyword(s):  
Blue Light ◽  
Chalcone Synthase ◽  
Red Raspberry ◽  
Rt Pcr ◽  
Total Polyphenol ◽  
Polyphenol Compounds ◽  
The World ◽  
Berry Fruits ◽  
Effect Of Light

Berry fruits are well known to contain large amounts of polyphenol compounds. Among them, flavan-3-ol derivatives are a group of secondary metabolism compounds currently attracting a great deal of attention owing to their health benefits. Not only the fruits, but also the leaves of raspberry plants, are highly esteemed for tea making around the world and are largely used for food. In this report, we discuss the results of our study on the effect of light and temperature on polyphenol accumulation in raspberry leaves. When raspberry was cultivated in a plant factory unit and light intensity, wavelength, and temperature were varied, the amount of total polyphenol increased under blue light. Quantitative determination of (+)-catechin, (–)-epicatechin, procyanidin B4, flavan-3-ol trimer, which are flavan-3-ol derivatives, was carried out using HPLC, whereby we confirmed their increase under blue light. Semi-quantitative RT-PCR showed correlation between chalcone synthase (CHS) gene expression and the amounts of the compounds measured in the leaves.

Role of Plasma miRNA-501 Expression Profile as a Marker of Hepatocellular Carcinoma (HCC) Progression With Hepatitis C Virus Infection

2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S134-S134
Author(s):  
Mohamed Shedid ◽  
Mohamed Abdelmonem ◽  
Ayman Boraik ◽  
Alaa Elmetwalli ◽  
Ahmed Esmael
Keyword(s):  
Rna Extraction ◽  
Control Group ◽  
Hepatitis C Virus Infection ◽  
Rt Pcr ◽  
The World ◽  
Noninvasive Biomarker ◽  
Biological Aspects ◽  
Plasma Mirna

Abstract Introduction HCV is a health problem that confronts many countries in the world. Those patients will develop complications like cirrhosis and HCC, which is one of the most common cancers in the world, especially in Egypt, and considered the third leading cause of death worldwide. The prognosis of HCC is still dismal due to the late diagnosis. miRNAs are small, short noncoding RNAs, which have roles in the diagnosis of HCC. In our study, we focus on biological aspects of miRNAs. We report that miR-501 is strongly expressed and observed in the process of HCC development. miR-501 regulation is important as an oncofetal relevant to the diagnosis of HCC. Method This study was conducted on 100 adult patients; 25 patients were positive for anti-HCV and 25 patients were negative for HCV and enrolled as a control group. Patients were categorized into three groups: fibrosis (n = 25), CHC (n = 25), and HCC (n = 25) related to HCV evident by CT abdomen. All patients and controls were subjected to full clinical assessment and laboratory investigation. Blood (8 mL) was withdrawn from subjects, and 3 mL was collected in EDTA tubes for processing total RNA extraction and miRNA. The remaining 5 mL was left for determination of biochemical parameters. miRN-501 expression levels were determined by RT-PCR. Results The data revealed a significant increase in levels of AST, ALT, ALP, and CBC in both HCC and CHC groups compared to controls. The results of miRNA expression showed that miR-501 was higher in the HCC group than non-HCC group at P1.1. Conclusion miR-501 can be used as a noninvasive biomarker for early diagnosis of HCC among patients with HCV on account of its affectability for HCC.

scholarly journals Landscape Coronavirus Disease 2019 test (COVID-19 test) in vitro -- A comparison of PCR vs Immunoassay vs Crispr-Based test

2020 ◽  
Author(s):  
Huajun Bai ◽  
Xiaolong Cai ◽  
Xiaoyan Zhang
Keyword(s):  
Public Health ◽  
Global Public Health ◽  
Rt Pcr ◽  
Health Threat ◽  
The World ◽  
Public Health Threat ◽  
Novel Coronavirus

The outbreak of COVID-19, caused by 2019 novel coronavirus (2019-nCoV), has been a global public health threat and caught the worldwide concern. Scientists throughout the world are sparing all efforts to explore strategies for the determination of the 2019-nCoV virus and diagnosis of COVID-19 rapidly. Several assays are developed for COVID-19 test , including RT-PCR, coronavirus antigens-based immunoassays, and CRISPR-based strategies (Cas13a or Cas12a), etc. Different assays have their advantages and drawbacks, and people should choose the most suitable assay according to their demands. Here, we make a brief introduction about these assays and give a simple overview of them, hoping to help doctors and researchers to select the most suitable assay for the Coronavirus Disease 2019 test (COVID-19 test) .

scholarly journals Changes in Polyphenol Content in Raspberry by Cultivation Environment

2021 ◽  
Vol 333 ◽  
pp. 07013
Author(s):  
Ryo Kobori ◽  
Seiya Hashimoto ◽  
Hayato Koshimizu ◽  
Takashi Kawasaki ◽  
Akiko Saito
Keyword(s):  
Leaf Extract ◽  
Rubus Idaeus ◽  
Red Raspberry ◽  
High Concentration ◽  
Cultivation Conditions ◽  
Polyphenol Content ◽  
Health Maintenance ◽  
Polyphenol Compounds ◽  
The World ◽  
Cultivation Environment

It is known that red raspberry (Rubus idaeus) contains various polyphenol compounds at high concentration and its functionality is expected to have health maintenance and disease prevention effect. Not only the fruits, but also the leaves of raspberry plants, are highly esteemed for tea making around the world and are largely used for food. Cultivation of raspberry in a plant factory unit and analysis of leaf extract under different cultivation conditions such as light intensity, wavelength and temperature showed that flavan-3-ol derivatives increase under blue light confirmed.

scholarly journals DETERMINATION OF THORACIC COMPUTERIZED TOMOGRAPHY FINDINGS IN COVID-19 CASES BY DEEP LEARNING

2021 ◽  
Author(s):  
Sua Sumer ◽  
Onur Ural ◽  
Asli Ural ◽  
NAZLIM AKTUĞ DEMİR ◽  
Hakan Cebeci ◽  
...  
Keyword(s):  
Deep Learning ◽  
Success Rate ◽  
Ct Images ◽  
Rt Pcr ◽  
Thoracic Ct ◽  
Modeling Systems ◽  
Number Of Patients ◽  
The World ◽  
External Analysis

Aims: The effects of the COVID-19 pandemic continue around the world. Imaging methods play an important role in the diagnosis of COVID-19. The aim of this study was to develop a system that would allow for the distinguishing of lesions at different stages of the disease based on similar signs of other viral diseases and monitoring the emergence, progression, and/or remission of lesions in different areas of the lungs. Methods: For the deep learning (DL) system, the thoracic CT images from 1,382 images were reviewed. These belonged to patients whose SARS-CoV-2 RT-PCR tests turned out positive, were diagnosed with COVID-19, and had signs of lung involvement. Of 1,382 images in the dataset, 180 were assigned for testing and 1,202 were assigned for training. Apart from our dataset, 131 images for internal testing and 1,365 images for external testing were used. The trainings were continued to cover 316,000 steps. Results: Internal and external analyses were used to assess the developed model. The internal analysis success rate was 93.12%. For first external analysis we used 85 images. In the first external analysis we assessed a single CT image of each patient who was in the mixed image lists, and the success rate was found to be 70.31%. In the second external analysis, 645 thoracic CT images of patients diagnosed with COVID-19 and 635 images of another patients who had signs of non-COVID-19 diseases were used. We assessed the thoracic CT images with both COVID-19 and non-COVID-19 disease signs. The success rate in the identification of COVID-19 patients was 88.4%. Conclusion: Special modeling systems developed using DL may help accelerate workflow and making the process easier. This is especially important in cases in which fast and accurate assessment is essential for of a large number of patients, as happens in a pandemic.

Actual issues of valuation of businesses of the economic entity

2017 ◽  
Vol 31 (2) ◽  
pp. 156-162 ◽  
Author(s):  
O. V. Schneider
Keyword(s):  
Discount Rate ◽  
Accurate Prediction ◽  
Economic Activities ◽  
Business Valuation ◽  
Economic Entity ◽  
The World ◽  
Definition Of

The article summarizes the main approaches in the definition of business valuation the economic entity. In the process of business valuation, taking into account the risks of financial and economic activities necessary to obtain information on what stage the owner implements the business will receive income. The most difficult task is the impossibility of accurate prediction in determining the level of income and the determination of a discount rate capitalization of future incomes due to the instability of the economy, both in the country and around the world.

scholarly journals Apple Pomace as a Source of Bioactive Polyphenol Compounds in Gluten-Free Breads

Antioxidants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 807
Author(s):  
Dorota Gumul ◽  
Rafał Ziobro ◽  
Jarosław Korus ◽  
Marek Kruczek
Keyword(s):  
Raw Materials ◽  
Apple Pomace ◽  
Total Phenolic ◽  
Gluten Free ◽  
Bioactive Substances ◽  
Free Products ◽  
Total Polyphenol ◽  
Polyphenol Compounds ◽  
High Oxidative Stress ◽  
Vegetables And Fruits

Gluten-free products based on starch and hydrocolloids are deficient in nutrients and do not contain pro-health substances. Therefore, they should be enriched in raw materials naturally rich in antioxidants, especially if they are intended for celiac patients, prone to high oxidative stress. Apart from the traditionally used pseudo-cereals, seeds, vegetables and fruits, innovative substrates such as the by-product (especially in Poland) dry apple pomace could be applied. The study material consisted of gluten-free bread enriched with apple pomace. The content of individual polyphenols, the content of total polyphenol and flavonoids, and also the antioxidant potential of the bread were determined by the UPLC-PDA-MS/MS methods. It was observed that apple pomace was a natural concentrate of bioactive substances from the group of polyphenols. In summary, gluten-free bread with 5% content of apple pomace showed the highest organoleptic scores and contained high levels of phenolic compounds. The values of total phenolic content, and the amounts of flavonoids, phenolic acids and phloridzin in this bread were 2.5, 8, 4 and 21 times higher in comparison to control.

scholarly journals Anticipatory Non-Green-Phenomena Determination for Designing Eco-Design Products

2021 ◽  
Vol 13 (2) ◽  
pp. 621
Author(s):  
Hsin Rau ◽  
Mary Deanne M. Lagapa ◽  
Po-Hsun Chen
Keyword(s):  
Sustainable Development ◽  
Environmental Impact ◽  
Product Design ◽  
Determination Method ◽  
Washing Machine ◽  
Product Failure ◽  
Design Concepts ◽  
The World ◽  
World Business Council

The number of consumers with green awareness have grown these days and as a result they have turned to purchase eco-friendly products. For this reason, this study aims to propose a method for eco-design based on the anticipatory failure determination method to develop eco-design products. By using eco-design concepts adopted from the World Business Council for Sustainable Development, the process will limit the failures and issues related to environmental impact in product design. The proposed method for eco-design product in this study follows the following procedure. First, we analyze product failure. Second, we propose the determination of the non-green phenomenon of the failure. Thirdly, we integrate the intensified non-green phenomenon to generate non-green hypotheses and fourthly, we eliminate each non-green phenomenon hypothesis by introducing the contradiction matrix of TRIZ for obtaining solutions. Finally, we assess alternative eco-design solutions by evaluation. To verify the practicality of the new procedure, a washing machine is used as an example for illustration.

scholarly journals Guard cells control hypocotyl elongation through HXK1, HY5, and PIF4

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Gilor Kelly ◽  
Danja Brandsma ◽  
Aiman Egbaria ◽  
Ofer Stein ◽  
Adi Doron-Faigenboim ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Blue Light ◽  
Opposite Effect ◽  
Red Light ◽  
Guard Cells ◽  
Cell Types ◽  
Hypocotyl Elongation ◽  
Sugar Production ◽  
Effect Of Light

AbstractThe hypocotyls of germinating seedlings elongate in a search for light to enable autotrophic sugar production. Upon exposure to light, photoreceptors that are activated by blue and red light halt elongation by preventing the degradation of the hypocotyl-elongation inhibitor HY5 and by inhibiting the activity of the elongation-promoting transcription factors PIFs. The question of how sugar affects hypocotyl elongation and which cell types stimulate and stop that elongation remains unresolved. We found that overexpression of a sugar sensor, Arabidopsis hexokinase 1 (HXK1), in guard cells promotes hypocotyl elongation under white and blue light through PIF4. Furthermore, expression of PIF4 in guard cells is sufficient to promote hypocotyl elongation in the light, while expression of HY5 in guard cells is sufficient to inhibit the elongation of the hy5 mutant and the elongation stimulated by HXK1. HY5 exits the guard cells and inhibits hypocotyl elongation, but is degraded in the dark. We also show that the inhibition of hypocotyl elongation by guard cells’ HY5 involves auto-activation of HY5 expression in other tissues. It appears that guard cells are capable of coordinating hypocotyl elongation and that sugar and HXK1 have the opposite effect of light on hypocotyl elongation, converging at PIF4.

Accuracy Analysis of Fringe Projection Systems Based on Blue Light Technology

2014 ◽  
Vol 615 ◽  
pp. 9-14 ◽  
Author(s):  
Claudio Bernal ◽  
Beatriz de Agustina ◽  
Marta María Marín ◽  
Ana Maria Camacho
Keyword(s):  
Blue Light ◽  
Point Clouds ◽  
Fringe Projection ◽  
Accuracy Analysis ◽  
Scanning Procedure ◽  
Structured Light Scanner ◽  
Cloud Of Points ◽  
3D Digitizing

Some manufacturers of 3D digitizing systems are developing and market more accurate, fastest and affordable systems of fringe projection based on blue light technology. The aim of the present work is the determination of the quality and accuracy of the data provided by the LED structured light scanner Comet L3D (Steinbichler). The quality and accuracy of the cloud of points produced by the scanner is determined by measuring a number of gauge blocks of different sizes. The accuracy range of the scanner has been established through multiple digitizations showing the dependence on different factors such as the characteristics of the object and scanning procedure. Although many factors influence, accuracies announced by manufacturer have been achieved under optimal conditions and it has been noted that the quality of the point clouds (density, noise, dispersion of points) provided by this system is higher than that obtained with laser technology devices.

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