Thermal food processing optimization: Algorithms and software

The algorithms and graphic user interface software package ?OPT-PROx? are developed to meet food engineering needs related to canned food thermal processing simulation and optimization. The adaptive random search algorithm and its modification coupled with penalty function?s approach, and the finite difference methods with cubic spline approximation are utilized by ?OPT-PROx? package (http://tomakechoice. com/optprox/index.html). The diversity of thermal food processing optimization problems with different objectives and required constraints are solvable by developed software. The geometries supported by the ?OPT-PROx? are the following: (1) cylinder, (2) rectangle, (3) sphere. The mean square error minimization principle is utilized in order to estimate the heat transfer coefficient of food to be heated under optimal condition. The developed user friendly dialogue and used numerical procedures makes the ?OPT-PROx? software useful to food scientists in research and education, as well as to engineers involved in optimization of thermal food processing

Molecular structure, vibrational spectral investigation and the confirmation analysis of 4-Methylesculetin molecule

WOS: 000333614200003In this work, FT-IR, FT-Raman, and FT-NMR spectra of 4-Methylesculetin molecule are presented for the first time. FT-IR, FT-Raman, and FT-NMR spectra of 4MEC have been recorded and analyzed. The FT-IR and FT-Raman spectra of this molecule are recorded at 4000-400 cm(-1) and 50-3500 cm(-1), respectively. The infrared vibrational frequencies, absolute intensities, potential energy profile, HOMO-LUMO plot and NBO analysis of the molecule have been also predicted using Becke's three-parameter hybrid B3LYP method in the density functional theory DFT method. Calculated and experimental data are in good agreement.Ahi Evran University Research FundAhi Evran University [FEN.4003.12.013]Y. Erdogdu would like to thank Ahi Evran University Research Fund for its financial support. Project Numbers: FEN.4003.12.013. Computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UYBHM)

Combining cosmological datasets: hyperparameters and Bayesian evidence

A method is presented for performing joint analyses of cosmological datasets, in which the weight assigned to each dataset is determined directly by it own statistical properties. The weights are considered in a Bayesian context as a set of hyperparameters, which are then marginalised over in order to recover the posterior distribution as a function only of the cosmological parameters of interest. In the case of a Gaussian likelihood function, this marginalisation may be performed analytically. Calculation of the Bayesian evidence for the data, with and without the introduction of hyperparameters, enables a direct determination of whether the data warrant the introduction of weights into the analysis; this generalises the standard likelihood ratio approach to model comparison. The method is illustrated by application to the classic toy problem of fitting a straight line to a set of data. A cosmological illustration of the technique is also presented, in which the latest measurements of the cosmic microwave background power spectrum are used to infer constraints on cosmological parameters.Comment: 12 pages, 6 figures, submitted to MNRA

The Dipole Anisotropy of the 2mass Redshift Survey

We estimate the flux weighted acceleration on the Local Group (LG) from the near-infrared Two Micron All Sky Redshift Survey (2MRS). The near-infrared flux weighted dipoles are very robust because they closely approximate a mass weighted dipole, bypassing the effects of redshift distortions and require no preferred reference frame. We use this method with the redshift information to determine the change in dipole with distance. The LG dipole seemingly converges by 60 Mpc/h. Assuming convergence, the comparison of the 2MRS flux dipole and the CMB dipole provides a value for the combination of the mass density and luminosity bias parameters Omega_m^0.6/b_L= 0.40+/-0.09.Comment: 4 pages, 2 figures, Contribution to Rencontres de Moriond: Contents and Structures of the Universe, March 18-25, 2006, La Thuil

Luminous superclusters: remnants from inflation

We derive the luminosity and multiplicity functions of superclusters compiled for the 2dF Galaxy Redshift Survey, the Sloan Digital Sky Survey (Data Release 4), and for three samples of simulated superclusters. We find for all supercluster samples Density Field (DF) clusters, which represent high-density peaks of the class of Abell clusters, and use median luminosities/masses of richness class 1 DF-clusters to calculate relative luminosity/mass functions. We show that the fraction of very luminous (massive) superclusters in real samples is more than tenfolds greater than in simulated samples. Superclusters are generated by large-scale density perturbations which evolve very slowly. The absence of very luminous superclusters in simulations can be explained either by non-proper treatment of large-scale perturbations, or by some yet unknown processes in the very early Universe.Comment: 6 pages, 3 Figures, submitted for Astronomy and Astrophysic

The 2MASS Redshift Survey in the Zone of Avoidance

The Two Micron All-Sky Survey (2MASS) Redshift Survey was started two decades ago with the goal of mapping the three-dimensional distribution of an all-sky flux-limited (K s < 11.75 mag) sample of ~45,000 galaxies. Our first data release presented an unprecedented uniform coverage for most of the celestial sphere, with redshifts for ~98% of our sample. However, we were missing redshifts for ~18% of the catalog entries that were located within the "Zone of Avoidance" ($| b| \lt 10^\circ$)—an important region of the sky for studies of the large-scale structure and cosmic flows. In this second and final data release, we present redshifts for all 1041 2MRS galaxies that previously lacked this information, as well as updated measurements for 27 others.Fil: Macri, Lucas M.. Texas A&M University; Estados UnidosFil: Kraan Korteweg, Renee Christine. University of Cape Town; SudáfricaFil: Lambert, Trystan. South African Astronomical Observatory; SudáfricaFil: Alonso, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Berlind, Perry. South African Astronomical Observatory; SudáfricaFil: Calkins, Michael. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Erdogdu, Pirin. University College London. Department of Physics and Astronomy; Reino UnidoFil: Falco, Emilio. Harvard-Smithsonian Center for Astrophysics; Estados UnidosFil: Jarrett, Thomas. University of Cape Town; SudáfricaFil: Mink, Jessica. Harvard-Smithsonian Center for Astrophysics; Estados Unido

Emerging issues and key focus areas in food science, technology, and engineering higher education

Food studies is an interdisciplinary field involving food production, distribution, consumption, and social, economic, and environmental impacts. Food science, technology, and engineering have undergone a significant transformation over the past few decades. Moreover, the food industry faces numerous critical challenges ranging from food safety, sustainability, health, and nutrition to changing consumer preferences and global food security. The food industry needs a workforce prepared for the most recent technical developments and also highly skilled. Working group 1.2, on Emerging Issued, Key Focus Areas, of IUFoST (International Union of Food Science and Technology) activities address education materials and methods on topics such as sustainability of food systems, emerging technologies, food safety, food insecurity, ethical considerations, among others. The working group organizes webinars series on teaching methods and methodologies, current critical topics in food studies, and, more recently, is opening an international web forum. This forum will promote effective communication and sharing of information in the field. It will cover topics such as curricula development, education in specific world regions, opportunities of collaboration, research education-related topics, and industry collaborations. Working group 1.2 of IUFoST is also a key element for networking with several other organizations working towards a new generation of food science, technology, and engineering professionals with the skills and knowledge required to drive innovation and reshape the industry.info:eu-repo/semantics/publishedVersio

Superclusters of galaxies from the 2dF redshift survey. I. The catalogue

We use the 2dF Galaxy Redshift Survey data to compile catalogues of superclusters for the Northern and Southern regions of the 2dFGRS, altogether 543 superclusters at redshifts 0.009 < z < 0.2. We analyse methods of compiling supercluster catalogues and use results of the Millennium Simulation to investigate possible selection effects and errors. We find that the most effective method is the density field method using smoothing with an Epanechnikov kernel of radius 8 Mpc/h. We derive positions of the highest luminosity density peaks and find the most luminous cluster in the vicinity of the peak, this cluster is considered as the main cluster and its brightest galaxy the main galaxy of the supercluster. In catalogues we give equatorial coordinates and distances of superclusters as determined by positions of their main clusters. We also calculate the expected total luminosities of the superclusters.Comment: 16 pages, 11 figures, submitted for Astronomy and Astrophysics. High-resolution pdf file and supplementary data can be found at http://www.aai.ee/~maret/2dfscl.htm