Fermented Soy Beverage Q-CAN Plus Consumption Improves Serum Cholesterol and Cytokines

Suyavaran Arumugam,Evangelos Dioletis,Ricardo Paiva,Maxine R. Fields,Theresa R. Weiss,Eric R. Secor,Ather Ali 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.5

Soy-based beverages are well recognized for their rich nutritional contents and positive health benefits. However, there is little information regarding the composition of various commercially available soy-based beverages and uncertainty among patients regarding the utility of fermented soy products. Current study evaluates the health benefits of QCAN® Plus—an easily available fermented soy drink. This study was performed in lean (n = 10) and obese (n = 10) subjects. The subjects were observed during pre-soy (weeks −2, −1, and 0), on-soy (weeks 1, 2, 3, and 4), and post-soy (weeks 6, 8, 10, and 12) periods. The serum samples during these visits were subjected to lipid profile analysis and multiplex assay for cytokines. The results revealed that total cholesterol and low-density lipoprotein (LDL) cholesterol levels were significantly reduced in both lean and obese individuals during on-soy (P ≤ .05). Furthermore, cytokines such as platelet-derived growth factor (PDGF) AA and AB/BB were significantly lowered on-soy compared with pre-soy (P ≤ .05) in lean subjects and PDGF AA, IL-1RA, and GMCSF were significantly reduced on-soy (P ≤ .05) in obese subjects. In addition, a qualitative and quantitative analysis of the Q-CAN Plus by a third-party laboratory confirmed its chemical and microbial safety. Our preliminary study on Q-CAN Plus ensures its safety for consumption and highlights its hypolipidemic and suppressive effect on certain cytokines. These observations and relevant studies in future might guide clinicians in future to consider Q-CAN Plus as a therapeutic nutritional supplement.

Evaluation and Prediction of Forming Limit of Boron (22MnB5) sheet metal in a Hot Press Forming Process

아루무감(Arumugam S),홍성훈(S. H. Hong),뚜안(D. T. Nguyen),마니반난(Manivannan R),김영석(Y. S. Kim) 한국소성가공학회 2010 한국소성가공학회 학술대회 논문집 Vol.2010 No.5

At presence the industrial practice demands a reliable determination of forming limits which assures the prediction of properly selecting the forming process in a digital environment. Therefore, technological limits defined with the forming limit diagrams (FLDs) have to be known. The experimental evaluation of FLDs for sheet metal is time consuming and demands expensive equipment. Hot press forming (HPF) is an advanced sheet metal forming methodology which can able to produce high strength final product by forming the part with high temperature and also cooling the part rapidly inside dies, it’s an one of the most successful forming process which can produce a component with complex geometric shape, high strength and minimum spring back. For conventional sheet metal forming processes the forming limit diagram (FLD) is primarily applied as failure criterion in the automotive industry regarding a FE-based process design. This works deals with the prediction of formability of sheet metal during the hot press forming. In order to predict the FLD at high temperature, we used Marciniak-Kuczynski flat punch for equi-biaxial and round punch for uniaxial and plane strain for In-plane deformation test. However, thermo-mechanical coupled simulation carried out by using DEFORM-3D for forming and predicting the failure by using Normalized Cockcroft-Latham failure criterion model. By applying the above failure criteria in DEFORM-3D FLD simulation, we need to determine the critical damage values (C?) calculated from out of plane deformation test for uniaxial and plane strain experiments carried out at 25℃ (RT), 500℃ and 700℃. In addition, the formability of the simulation results in a hot press formed part is compared with the experimental ones to confirm the validity of the proposed simulations.

Optimizing Photosynthetically Active Radiation and Moisture Regimes Can Enhance Water Use Efficiency in Carrots

Rajasekaran R. Lada,Arumugam Thiagarajan,Robert Gordon,Tessma Astatkie,Azure Adams 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

Targeting antioxidant pathways with ferrocenylated N-heterocyclic carbene supported gold(I) complexes in A549 lung cancer cells

Arambula, J. F.,McCall, R.,Sidoran, K. J.,Magda, D.,Mitchell, N. A.,Bielawski, C. W.,Lynch, V. M.,Sessler, J. L.,Arumugam, K. THE ROYAL SOCIETY OF CHEMISTRY 2016 Chemical Science Vol.7 No.2

<P>Ferrocene containing N-heterocyclic carbene (NHC) ligated gold(I) complexes of the type [Au(NHC)(2)](+) were prepared and found to be capable of regulating the formation of reactive oxygen species (ROS) via multiple mechanisms. Single crystal X-ray analysis of bis(1-(ferrocenylmethyl)-3-mesitylimidazol-2-ylidene)-gold(I) chloride (5) and bis(1,3-di(ferrocenylmethyl)imidazol-2-ylidene)-gold(I) chloride (6) revealed a quasi-linear geometry around the gold(I) centers (i.e., the C-Au-C bond angle were measured to be similar to 177 degrees and all the Au-C-carbene bonds distances were in the range of 2.00 (7)-2.03 (1) angstrom). A series of cell studies indicated that cell proliferation inhibition and ROS generation were directly proportional to the amount of ferrocene contained within the [Au(NHC)(2)](+) complexes (IC50 of 6 < 5 < bis(1-benzyl-3-mesitylimidazol-2-ylidene)-gold(I) chloride (4)). Complexes 4-6 were also confirmed to inhibit thioredoxin reductase as inferred from lipoate reduction assays and increased chelatable intracellular zinc concentrations. RNA microarray gene expression assays revealed that 6 induces endoplasmic reticulum stress response pathways as a result of ROS increase.</P>

Analysis of Neural Network Approaches for Nonlinear Modeling of Switched Reluctance Motor Drive

Saravanan, P,Balaji, M,Balaji, Nagaraj K,Arumugam, R The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.8 No.1

This paper attempts to employ and investigate neural based approaches as interpolation tools for modeling of Switched Reluctance Motor (SRM) drive. Precise modeling of SRM is essential to analyse the performance of control strategies for variable speed drive application. In this work the suitability of Generalized Regression Neural Network (GRNN) and Extreme Learning Machine (ELM) in addition to conventional neural network are explored for improving the modeling accuracy of SRM. The neural structures are trained with the data obtained by modeling of SRM using Finite Element Analysis (FEA) and the trained neural network is incorporated in the model of SRM drive. The results signify the modeling accuracy with GRNN model. The closed loop drive simulation is performed in MATLAB/Simulink environment and the closeness of the results in comparison with the experimental prototype validates the modeling approach.

Efficient Spectrum Allocation with Survivability Technique in Elastic Optical Networks

Pushpanathan Krishnamoorthy,Sivasubramanian Arunagiri,Jawahar Arumugam,Jesuwanth Sugesh R.G,MenaghaPriya.B.R 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.3

In recent years, traffic requirement with variable bit rates and Quality of Service due to online High Definition video streaming, downloading movies and transferring of files are being satisfied with Elastic Optical Network (EON). Most efficient spectrum utilization is required to satisfy the demand with minimum blocking probability. The network is unstable and a small failure can lead to tremendous loss of data, hence survivability is mandatory. Slot Capacity based Spectrum Allocation with Survivability (SCSAS) algorithm is proposed which aims at the efficient spectrum utilization and configuration of protection paths. Duty Cycle Division Multiplexing (DCDM) and hop based modulation technique are also introduced to manage the spectrum which further reduces the spectrum wastage. The formation of spectrum fragments on the termination of existing requests increases the blocking probability. In order to improve the spectrum utilization, a spectrum defragmentation technique is introduced in the proposed work. Dynamic configuration of backup paths provides survivability. Results show an increase in free spectrum for dynamic requests, lesser spectrum wastage, and reduced blocking probability than the traditional algorithms such as fixed, flexible and random spectrum allocation.

Analysis of Neural Network Approaches for Nonlinear Modeling of Switched Reluctance Motor Drive

Saravanan P,Balaji M,Balaji Nagaraj K,Arumugam R 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.4

This paper attempts to employ and investigate neural based approaches as interpolation tools for modeling of Switched Reluctance Motor (SRM) drive. Precise modeling of SRM is essential to analyse the performance of control strategies for variable speed drive application. In this work the suitability of Generalized Regression Neural Network (GRNN) and Extreme Learning Machine (ELM) in addition to conventional neural network are explored for improving the modeling accuracy of SRM. The neural structures are trained with the data obtained by modeling of SRM using Finite Element Analysis (FEA) and the trained neural network is incorporated in the model of SRM drive. The results signify the modeling accuracy with GRNN model. The closed loop drive simulation is performed in MATLAB/Simulink environment and the closeness of the results in comparison with the experimental prototype validates the modeling approach.

Effect of Geometrical Parameters on Optimal Design of Synchronous Reluctance Motor

V. S. Nagarajan,V. Kamaraji,M. Balaji,R. Arumugam,N. Ganesh,R. Rahul,M. Lohit 한국자기학회 2016 Journal of Magnetics Vol.21 No.4

Torque ripple minimization without decrease in average torque is a vital attribute in the design of Synchronous Reluctance (SynRel) motor. As the design of SynRel motor is an arduous task, which encompasses many design variables, this work first analyses the significance of the effect of varying the geometrical parameters on average torque and torque ripple and then proposes an extensive optimization procedure to obtain configurations with improved average torque and minimized torque ripple. A hardware prototype is fabricated and tested. The Finite Element Analysis (FEA) software tool used for validating the test results is MagNet 7.6.0.8. Multi Objective Particle Swarm Optimization (MOPSO) is used to determine the various designs meeting the requirements of reduced torque ripple and improved torque performance. The results indicate the efficacy of the proposed methodology and substantiate the utilization of MOPSO as a significant tool for solving design problems related to SynRel motor.

Evolution of dust temperature of galaxies through cosmic time as seen by <i>Herschel</i>^★

Hwang, H. S.,Elbaz, D.,Magdis, G.,Daddi, E.,Symeonidis, M.,Altieri, B.,Amblard, A.,Andreani, P.,Arumugam, V.,Auld, R.,Aussel, H.,Babbedge, T.,Berta, S.,Blain, A.,Bock, J.,Bongiovanni, A.,Boselli, A.,B Blackwell Publishing Ltd 2010 MONTHLY NOTICES- ROYAL ASTRONOMICAL SOCIETY Vol.409 No.1

<P>ABSTRACT</P><P>We study the dust properties of galaxies in the redshift range 0.1 ≲<I>z</I>≲ 2.8 observed by the <I>Herschel Space Observatory</I> in the field of the Great Observatories Origins Deep Survey-North as part of the PACS Extragalactic Probe (PEP) and <I>Herschel</I> Multi-tiered Extragalactic Survey (HerMES) key programmes. Infrared (IR) luminosity (<I>L</I><SUB>IR</SUB>) and dust temperature (<I>T</I><SUB>dust</SUB>) of galaxies are derived from the spectral energy distribution fit of the far-IR (FIR) flux densities obtained with the PACS and SPIRE instruments onboard <I>Herschel</I>. As a reference sample, we also obtain IR luminosities and dust temperatures of local galaxies at <I>z</I> < 0.1 using <I>AKARI</I> and <I>IRAS</I> data in the field of the Sloan Digital Sky Survey. We compare the <I>L</I><SUB>IR</SUB>–<I>T</I><SUB>dust</SUB> relation between the two samples and find that the median <I>T</I><SUB>dust</SUB> of <I>Herschel</I>-selected galaxies at <I>z</I>≳ 0.5 with <I>L</I><SUB>IR</SUB>≳ 5 × 10<SUP>10</SUP> L<SUB>⊙</SUB> appears to be 2–5 K colder than that of <I>AKARI</I>-selected local galaxies with similar luminosities, and the dispersion in <I>T</I><SUB>dust</SUB> for high-<I>z</I> galaxies increases with <I>L</I><SUB>IR</SUB> due to the existence of cold galaxies that are not seen among local galaxies. We show that this large dispersion of the <I>L</I><SUB>IR</SUB>−<I>T</I><SUB>dust</SUB> relation can bridge the gap between local star-forming galaxies and high-<I>z</I> submillimetre galaxies (SMGs). We also find that three SMGs with very low <I>T</I><SUB>dust</SUB> (≲20 K) covered in this study have close neighbouring sources with similar 24-μm brightness, which could lead to an overestimation of FIR/(sub)millimetre fluxes of the SMGs.</P>