Evaluation of Coloring Potential of Dietzia natronolimnaea Biomass as Source of Canthaxanthin for Egg Yolk Pigmentation

Esfahani-Mashhour, M.,Moravej, H.,Mehrabani-Yeganeh, H.,Razavi, S.H. Asian Australasian Association of Animal Productio 2009 Animal Bioscience Vol.22 No.2

An experiment was conducted to evaluate the effect of different levels of extracted pigment from Dietzia natronolimnaea biomass as a source of canthaxanthin in comparison with synthetic canthaxanthin on egg yolk pigmentation. The experiment used a completely randomized design (CRD). A total of 63 laying hens, 68 weeks old, were used and the birds were allotted to 7 dietary treatments with each treatment replicated three times with three hens per replicate. Treatments consisted of 3 levels of synthetic canthaxanthin (4, 8 and 16 ppm), 3 levels of extracted pigment from D. natronolimnaea biomass (4, 8 and 16 ppm) and control. Changes in yolk color were determined in 2 eggs taken at random, during the four week experimental period from each replicate. Supplementation of extracted pigment from D. natronolimnaea biomass had a significant effect on the color of egg yolks (p<0.05). Yolk color score of the control group was 6.83 in BASF color fan and the yolk color score of different extracted pigment levels was 11.00, 12.50 and 14.50, respectively. The yolk colors of different levels of synthetic canthaxanthin were 12.00, 14.00 and 15.00, respectively. The effect of pigment supplementation on egg yolk color was better explained by polynomial response curves. The $R_{2}$ indicated that for 3 supplementation levels of each pigment studied, over 90% of the color variation could be explained by the pigment concentration. The egg yolk color after 15 and 30 days of storage was not significantly different, but boiling reduced egg yolk color significantly (p<0.05).

Load-deflection analysis prediction of CFRP strengthened RC slab using RNN

Razavi, S.V.,Jumaat, Mohad Zamin,El-Shafie, Ahmed H.,Ronagh, Hamid Reza Techno-Press 2015 Advances in concrete construction Vol.3 No.2

In this paper, the load-deflection analysis of the Carbon Fiber Reinforced Polymer (CFRP) strengthened Reinforced Concrete (RC) slab using Recurrent Neural Network (RNN) is investigated. Six reinforced concrete slabs having dimension $1800{\times}400{\times}120mm$ with similar steel bar of 2T10 and strengthened using different length and width of CFRP were tested and compared with similar samples without CFRP. The experimental load-deflection results were normalized and then uploaded in MATLAB software. Loading, CFRP length and width were as neurons in input layer and mid-span deflection was as neuron in output layer. The network was generated using feed-forward network and a internal nonlinear condition space model to memorize the input data while training process. From 122 load-deflection data, 111 data utilized for network generation and 11 data for the network testing. The results of model on the testing stage showed that the generated RNN predicted the load-deflection analysis of the slabs in acceptable technique with a correlation of determination of 0.99. The ratio between predicted deflection by RNN and experimental output was in the range of 0.99 to 1.11.

Using generalized regression neural network (GRNN) for mechanical strength prediction of lightweight mortar

S.V. Razavi,M.Z. Jumaat,E.S. Ahmed H,Mohammadi, P. 사단법인 한국계산역학회 2012 Computers and Concrete, An International Journal Vol.10 No.4

In this paper, the mechanical strength of different lightweight mortars made with 0, 5, 10, 15,20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95 and 100 percentage of scoria instead of sand and 0.55 water-cement ratio and 350 kg/m3 cement content is investigated. The experimental result showed 7.9%, 16.7% and 49% decrease in compressive strength, tensile strength and mortar density, respectively, by using 100% scoria instead of sand in the mortar. The normalized compressive and tensile strength data are applied for artificial neural network (ANN) generation using generalized regression neural network (GRNN). Totally, 90 experimental data were selected randomly and applied to find the best network with minimum mean square error (MSE) and maximum correlation of determination. The created GRNN with 2 input layers, 2 output layers and a network spread of 0.1 had minimum MSE close to 0 and maximum correlation of determination close to 1.

Different catalytic behavior of a-amylase in response to the nitrogen substance used in the production phase

M. Hashemi,S.A. Shojaosadati,S.H. Razavi,S.M. Mousavi 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1

The impact of nitrogen substrate on the a-amylase performance at two assay conditions (pH = 4.5, 65 8C;pH = 6.8, 55 8C) was investigated. The highest a-amylase activity difference ( 38%) was related to themedium consist of dextrin, meat and yeast extracts at ( 1) levels, while the lowest variation ( 7%) wasrecorded in experiment contained the minimum amount of yeast extract followed by one with thelowest concentration ofmeat extract ( 9%). The only medium resulted in lower a-amylase activity (27%)at pH = 4.5 was the treatment with meat and yeast extracts at ( 1) levels. The effect of C/N ratio on theresponses was also investigated.

Microstructure and mechanical properties of spark plasma sintered aluminabased composites reinforced with WC

D. Ghahremani,I. Mobasherpour,M. RAZAVI,H. Eslami Shahed,H. Rajaei 한양대학교 세라믹연구소 2016 Journal of Ceramic Processing Research Vol.17 No.11

Alumina-based composites reinforced with WC were fabricated by powder processing techniques and consolidated by sparkplasma sintering. Microstructure, strength, hardness and fracture toughness of the Al2O3-WC composites were studied. TheAl2O3-WC composite containing 5-20 wt% WC reached over 95% theoretical density at 1650 oC and nearly full density at1700 oC. The strength, Vickers hardness and fracture toughness of Al2O3-(10 wt. %)WC composite sintered at 1700 oC reacheda maximum value of 463 MPa, 2208 HV, and 4.15 MPa.m1/2 respectively.

Disease Burden of Chronic Hepatitis C Virus Infection in Mongolia: Potential Impact of Attaining World Health Organization (WHO) 2030 Goals

( O. Baatarkhuu ),( M. Batzaya ),( S. Brandon ),( C. Estes ),( B. Chiang ),( J. Amaarsanaa ),( H. Razavi ),( P. Nymadawa ) 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1

Aims: Mongolia has a large burden of viral hepatitis with the highest rates of liver cancer incidence and mortality In the world. An estimated 95% of liver cancer patients in Mongolia are infected with HCV and/or HBV. While HCV prevalence is likely declining, the burden of advanced liver disease will continue at a high level. Direct acting antivirals (DAAs) achieve higher sustained viral response rate (SVR) than interferon-based treatment regimens. In 2015, over 10,000 patients were treated in Mongolia with DAA regimens, an important first step on the path toward HCV elimination. Implementation of new treatments requires epidemiological data and modeling to assess the potential impact of improved treatment strategies. Use a modeling approach to describe HCV-related disease progression at the national level in Mongolia through 2030. Consider the impact of two scenarios on disease burden: Base Scenario and WHO Targets 2030 Scenario. Methods: Disease progression used age-and gender-defined cohorts to track HCV incidence, prevalence, morbidity and mortality. Data for prevalence, incidence, diagnosis, liver transplants and mortality risk factors were derived from Mongolian data sources when available, and expert consensus. A starting prevalence of 200,000 chronic cases in 2013 was used and was consistent with adult prevalence estimates collected in prevalence surveys from 2005 and 2013, after adjustment for prevalence in younger age groups. Two scenarios were considered with one based on the status quo and another designed to achieve WHO 2030 goals. Base Scenario: Treat 10,300 =F2 patients in 2016, gradually declining to 1200 treated patients by 2030. Assume 3230 new infections and 1300 newly diagnosed annually. WHO Targets 2030 Scenario: Achieve 2030 WHO Global Health Sector Strategy on viral hepatitis including a diagnosis rate of 90%, 65% decrease in liver-related mortality and a 90% decrease in new infections by 2030. Achieved in Mongolia by increasing treatment to 10,000-15,000 =F0 cases annually, diagnosing up to 10,000 cases annually, and gradually reducing new infections to 300 annually by 2025 (90% reduction) (Figure 1). The incidence and prevalence of HCV-related morbidity and mortality through 2030 were projected. Results of the WHO Targets 2030 scenario were compared to the Base scenario. Results: Base Scenario Viremic infections decline to 141,000 in 2030 as compared to 188,000 in 2016 (25% decrease), largely due to mortality (Figure 2). By 2030 incident decompensated cirrhosis cases will decrease by 17% from 630 cases in 2016 to 520 cases in 2030. The number of incident HCC cases was projected at 650 in 2030, a decrease of 18% as compared to 2016 (800 cases). By 2030, annual HCV-related liver deaths will decrease by 28% as compared to 2016, from 1280 deaths to 920 deaths (Figure 2). There will be 13900 cumulative liver deaths during 2016-2030 (Figure 3). WHO Targets 2030 Scenario Chronic infections decline 87% during 2016-2030 from 188,000 cases to 24,100 cases. As compared to the Base Scenario, cases decline by 83% in 2030. Incident HCC cases in 2030 were estimated at 170 respectively (74% decrease from Base Scenario. Incident liver deaths in 2030 were estimated at 330 (64% decrease from Base Scenario). During 2016-2030, there are a cumulative total of over 2800 fewer HCV-related deaths as compared to the Base Scenario. Conclusions: HCV disease is a substantial health burden in Mongolia, especially HCC and related deaths. Even under the Base Scenario, total viremic prevalence will decline by 2030, due to fewer new infections and mortality among an aging population. Scenario results emphasize the importance of in-creasing awareness, diagnosis and treatment of HCV, along with preventing new infections. Mongolia achieves WHO tar-gets for HCV hepatitis elimination by 2030 under the WHO Tar-gets 2030 Scenario, when including disease reduction achieved prior to 2016. The projected impact of the scenarios will facili-tate disease forecasting, resource planning, and rational strate-gies for HCV management in Mongolia.