Science.gov

Sample records for autosid mber naftaeikidele

  1. Numerical modeling of an electrically enhanced membrane bioreactor (MBER) treating medium-strength wastewater.

    PubMed

    Giwa, Adewale; Hasan, Shadi Wajih

    2015-12-01

    In this paper, a numerical model of an electrically enhanced membrane bioreactor (MBER) was developed. MBER is a reactor that combines biological decomposition, membrane filtration and electrocoagulation of wastewater pollutants in a hybrid unit. To assess its design, the final contents and removal efficiencies of organics, nutrients, and metals were carried out using varying influent compositions. In a 60-day test of a laboratory-scale MBER, experimental results were used to calibrate and validate the model. The modeling results were in agreement with the experimental data and showed that the MBER can remove 99% of total phosphorus (TP), 99.9% of chemical oxygen demand (COD), 91% of total nitrogen (TN), 79% of nickel (Ni), 89% of iron (Fe), and 80% of chromium (Cr), using a current density of 15 A/m(2) intermittently supplied in a cycle of 5 min ON and 15 min OFF. PMID:26340520

  2. Evaluation of A MBER force field parameters for copper(II) with pyridylmethyl-amine and benzimidazolylmethyl-amine ligands: A quantum chemical study

    NASA Astrophysics Data System (ADS)

    Zhu, Yanyan; Su, Yanwei; Li, Xichen; Wang, Yan; Chen, Guangju

    2008-04-01

    We present the theoretical evaluations on the two new sets of A MBER force field parameters for the two copper(II) nucleases, Cu(BPA)Cl 2 (BPA = bis(2-pyridylmethyl)amine) and Cu(IDB)Cl 2 (IDB = N, N-bis(2-benzimidazolylmethyl)amine) based on the DFT/B3LYP level of theory, incorporating with atomic charges calculated by the RESP method. The new force field parameters have been successfully applied in the testing molecular dynamic simulations for the nuclease-DNA combining systems. The developed force field parameters in this work can be applied in DNA-binding modeling for other artificial copper nucleases with same Cu-N type environments.

  3. Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation

    PubMed Central

    He, Xiangyu; Liu, Guixi

    2016-01-01

    The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets and their states from a sequence of sensor measurement sets. However, because of the existence of systematic errors in sensor measurements, the CBMeMBer filter can easily produce different levels of performance degradation. In this paper, an extended CBMeMBer filter, in which the joint probability density function of target state and systematic error is recursively estimated, is proposed to address the MTT problem based on the sensor measurements with systematic errors. In addition, an analytic implementation of the extended CBMeMBer filter is also presented for linear Gaussian models. Simulation results confirm that the proposed algorithm can track multiple targets with better performance. PMID:27589764

  4. Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation.

    PubMed

    He, Xiangyu; Liu, Guixi

    2016-08-31

    The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets and their states from a sequence of sensor measurement sets. However, because of the existence of systematic errors in sensor measurements, the CBMeMBer filter can easily produce different levels of performance degradation. In this paper, an extended CBMeMBer filter, in which the joint probability density function of target state and systematic error is recursively estimated, is proposed to address the MTT problem based on the sensor measurements with systematic errors. In addition, an analytic implementation of the extended CBMeMBer filter is also presented for linear Gaussian models. Simulation results confirm that the proposed algorithm can track multiple targets with better performance.

  5. Cardinality Balanced Multi-Target Multi-Bernoulli Filter with Error Compensation.

    PubMed

    He, Xiangyu; Liu, Guixi

    2016-01-01

    The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter developed recently has been proved an effective multi-target tracking (MTT) algorithm based on the random finite set (RFS) theory, and it can jointly estimate the number of targets and their states from a sequence of sensor measurement sets. However, because of the existence of systematic errors in sensor measurements, the CBMeMBer filter can easily produce different levels of performance degradation. In this paper, an extended CBMeMBer filter, in which the joint probability density function of target state and systematic error is recursively estimated, is proposed to address the MTT problem based on the sensor measurements with systematic errors. In addition, an analytic implementation of the extended CBMeMBer filter is also presented for linear Gaussian models. Simulation results confirm that the proposed algorithm can track multiple targets with better performance. PMID:27589764

  6. Applications of Subleading-Color Amplitudes in N = 4 SYM Theory

    DOE PAGESBeta

    Naculich, Stephen G.; Nastase, Horatiu; Schnitzer, Howard J.

    2011-01-01

    A numore » mber of features and applications of subleading-color amplitudes of N = 4 SYM theory are reviewed. Particular attention is given to the IR divergences of the subleading-color amplitudes, the relationships of N = 4 SYM theory to N = 8 supergravity, and to geometric interpretations of one-loop subleading-color and N k MHV amplitudes of N = 4 SYM theory.« less

  7. Neural network-based multiuser detection for SDMA-OFDM system over IEEE 802.11n indoor wireless local area network channel models

    NASA Astrophysics Data System (ADS)

    Praveen Bagadi, Kala; Das, Susmita

    2013-10-01

    Space division multiple access - orthogonal frequency division multiplexing-based wireless communication has the potential to offer high-spectral efficiency, system performance and capacity. This article proposes an efficient blind multiuser detection (MUD) scheme using artificial neural network models such as the radial basis function. The proposed MUD technique is consistently outperforming the existing minimum mean square error and minimum bit error rate (MBER) MUDs with the performance close to the optimal maximum likelihood (ML) detector. Besides that, the computational complexity of the proposed one is comparatively lower than both the MBER and ML detectors. Further, it can also outperform MBER MUD in the overload scenario, where the number of users is more than that of the number of receiving antennas simulation-based study showing BER performance and complexity are carried out to prove the efficiency of the proposed techniques. This analysis is carried through the IEEE 802.11n standard channel models, which are designed for indoor wireless local area network applications of bandwidth up to 100 MHz at frequencies 2 and 5 GHz.

  8. On the color-tuning mechanism of Human-Blue visual pigment: SAC-CI and QM/MM study

    NASA Astrophysics Data System (ADS)

    Fujimoto, Kazuhiro; Hasegawa, Jun-ya; Hayashi, Shigehiko; Nakatsuji, Hiroshi

    2006-12-01

    Color-tuning mechanism of Human-Blue pigment, visual color-receptor in the cone cells of the eye, has been investigated. Based on a previous Homology-modeling structure and experimental evidences, a working model was constructed, and the structure has been optimized by QM(B3LYP)/MM(A MBER) method. SAC-CI calculation was performed to obtain photo-absorption energy. The calculated absorption energy reasonably agrees with the experiment. A decomposition analysis was performed and compared with the case of Bovine rhodopsin. The electrostatic effect from the opsin is primarily important for the color-tuning. The electronic interaction (quantum effect) of the counter-residue is indispensable for quantitative calculation of the absorption energy.

  9. Evolutionary strategies for solving optimization problems

    NASA Astrophysics Data System (ADS)

    Ebeling, Werner; Reimann, Axel; Molgedey, Lutz

    We will give a survey of applications of thermodynamically and biologically oriented evolutionary strategies for optimization problems. Primarily, we investigate the solution of discrete optimization problems, most of combinatorial type, using a certain class of coupled differential equations. The problem is to find the minimum on a large set of real numbers (the potential) Ui, defined on the integer set i = 1 ...s, where s is an extremely large nu mber. The stationary states of the system correspond to relative optima on the discrete set. First, several elementary evolutionary strategies are described by simple deterministic equations, leading to a high-dimensional system of coupled differential equations. The known equations for thermodynamic search processes and for simple models of biological evolution are unified by defining a two-parameter family of equations which embed both cases. The unified equations model mixed Boltzmann/Darwin- strategies including basic elements of thermodynamical and biological evolution as well. In a next step a master equation model in the occupation number space is defined. We investigate the transition probabilities and the convergence properties using tools from the theory of stochastic processes. Several examples are analyzed. In particular we study the optimization of theoretical model sequences with simple valuation rules. In order to demonstrate that the strategies developed here may also be used to investigate realistic problems we present an example application to RNA folding (search for a minimum free energy configuration).

  10. Tables for the Rapid Estimation of Downwash and Sidewash Behind Wings Performing Various Motions at Supersonic Speeds

    NASA Technical Reports Server (NTRS)

    Bobbitt, Percy J.

    1959-01-01

    Equations for the downwash and sidewash due to supersonic yawed and unswept horseshoe vortices have been utilized in formulating tables and charts to permit a rapid estimation of the flow velocities behind wings performing various steady motions. Tabulations are presented of the downwash and sidewash in the wing vertical plane of symmetry due to a unit-strength yawed horseshoe vortex located at 20 equally spaced spanwise positions along lifting lines of various sweeps. (The bound portion of the yawed vortex is coincident with the lifting line.) Charts are presented for the purpose of estimating the spanwise variations of the flow-field velocities and give longitudinal variations of the downwash and sidewash at a nuMber of vertical and spanwise locations due to a unit-strength unswept horseshoe vortex. Use of the tables and charts to calculate wing downwash or sidewash requires a knowledge of the wing spanwise distribution of circulation. Sample computations for the rolling sidewash and angle-of-attack downwash behind a typical swept wing are presented to demonstrate the use of the tables and charts.

  11. Enhanced vector borne disease surveillance of California Culex mosquito populations reveals spatial and species-specific barriers of infection.

    SciTech Connect

    VanderNoot, Victoria A.; Curtis, Deanna Joy; Koh, Chung-Yan; Brodsky, Benjamin H; Lane, Todd

    2014-08-01

    Monitor i ng in f ectio n s in v ect o rs su c h as m osquit o es, s a nd fl i es, tsetse fl i es, a nd ticks to i denti f y hu m a n path o gens m a y s e r v e as a n ear l y w arn i ng det e ction system t o dir e ct loc a l g o v er n ment dise a se pr e v en t i v e m easu r e s . One major hurdle i n de t ection is the abi l i t y to scre e n l arge n u mbers of v e c t ors for h uman patho g ens w i thout t h e u s e of ge n o t y pe - s p ecific m o lecu l ar tec h nique s . N e x t genera t ion s equ e nc i ng (NG S ) pr o v i des a n unbi a sed p latfo r m capab l e of identi f y i ng k n o w n a n d unk n o w n p ath o ge n s circula t ing w i thin a v e ctor p opul a tion, but utili z ing t h is te c h nolo g y i s tim e - con s u ming a n d cos t l y for v ecto r -b o rne disease su r v e illan c e pr o gra m s. T o addr e s s this w e d e v e lop e d cos t -eff e ct i v e Ilumina(r) R NA- S eq l i bra r y p r epara t ion m e thodol o gies i n con j u n ction w i t h an automa t ed c ompu t at i onal a n a l y sis pipel i n e to ch a racter i ze t h e microbial popula t ions c ircula t i n g in Cu l e x m o squit o e s (Cul e x qui n quef a s c iatu s , C ul e x quinq u efasc i atus / pip i ens co m pl e x h y bri d s, and C u l e x ta r salis ) t hroug h out Californ i a. W e assembled 2 0 n o vel a n d w e l l -do c ume n ted a r b o v i ruses repres e nting mem b e rs of B u n y a v ir i da e , F l a v i virid a e, If a virida e , Meson i v i rida e , Nid o v iri d ae, O rtho m y x o virid a e, Pa r v o v iri d ae, Re o virid a e, R h a b d o v i rid a e, T y m o v iri d ae, a s w ell as s e v e r al u n assi g n e d v irus e s . In addit i o n, w e m app e d mRNA s pecies to d i vergent s peci e s of t r y panos o ma a nd pl a s modium eu k a r yotic parasit e s and cha r a c terized t he p r oka r yot i c microb i al c o mposit i on to i d enti f y bacteri a l tran s c r ipts der i v ed from wolba c hia, clo s tridi u m, m y c oplas m a, fusoba c

  12. A spatially referenced regression model (SPARROW) for suspended sediment in streams of the Conterminous U.S.

    USGS Publications Warehouse

    Schwarz, Gregory E.; Smith, Richard A.; Alexander, Richard B.; Gray, John R.

    2001-01-01

    Suspended sediment has long been recognized as an important contaminant affecting water resources. Besides its direct role in determining water clarity, bridge scour and reservoir storage, sediment serves as a vehicle for the transport of many binding contaminants, including nutrients, trace metals, semi-volatile organic compounds, a nd numerous pesticides (U.S. Environmental Protection Agency, 2000a). Recent efforts to addr ess water-quality concerns through the Total Maximum Daily Load (TMDL) process have iden tified sediment as the single most prevalent cause of impairment in the Nation’s streams a nd rivers (U.S. Environmental Protection Agency, 2000b). Moreover, sediment has been identified as a medium for the tran sport and sequestration of organic carbon, playing a potentia lly important role in understa nding sources and sinks in the global carbon budget (Stallard, 1998). A comprehensive understanding of sediment fate a nd transport is considered essential to the design and implementation of effective plans for sediment management (Osterkamp and others, 1998, U.S. General Accounting Office, 1990). An exte nsive literature addr essing the problem of quantifying sediment transport has produced a nu mber of methods for estimating its flux (see Cohn, 1995, and Robertson and Roerish, 1999, for us eful surveys). The accuracy of these methods is compromised by uncertainty in the concentration measurements and by the highly episodic nature of sediment movement, particul arly when the methods are applied to smaller basins. However, for annual or decadal flux es timates, the methods are generally reliable if calibrated with extended periods of data (Robertson and Roerish, 1999). A substantial literature also supports the Universal Soil Loss Equation (U SLE) (Soil Conservation Service, 1983), an engineering method for estimating sheet and rill erosion, although the empirical credentials of the USLE have recently been questioned (Tri mble and Crosson, 2000