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Search Results: 1 - 10 of 59 matches for " Nastja Rogan ?muc "
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Geochemical investigation of Sasa tailings dam material and its influence on the Lake Kalimanci surficial sediments (Republic of Macedonia) – preliminary study
Petra Vrhovnik,Nastja Roganmuc,Tadej Dolenec,Todor Serafimovski
Geologija , 2011,
Abstract: This research is aimed at investigating the mineralogical characteristics of the tailings material and heavy metal contents of the tailings material deposited close to the Sasa Pb-Zn Mine in the Osogovo Mountains (eastern Macedonia) and on its possible impact on Lake Kalimanci. The mineral composition of Sasa Mine tailings materialis dominated by quartz, pyrite, galena, sphalerite, magnetite and others. Geochemical analysis was performed in a certified commercial laboratory for the following elements: Mo, Cu, Pb, Zn, Ni, As, Cd, Sb, Bi, Ag, Al, Fe, Mn, S.Analysis revealed very high concentrations of toxic metals in the tailing material – with average values [ mg kg-1]:Mo 2.9, Cu 279, Pb 3975, Zn 5320, Ni 30, As 69, Cd 84, Sb 4.2, Bi 9.4 and Ag 4.1. The multi-element contamination of Sasa Mine tailings material was assigned a pollution index greater of 15, indicating that the tailings material from Sasa Mine contains very high amounts of toxic metals and represents a high environmental risk for surrounding ecosystems. For this reason the influence of discharged tailings dam material into Lake Kalimanci which liesapproximately 12 km lower than Sasa Mine, was also established. Calculated pollution index values for Lake Kalimancisediments vary from 21 to 65 and for Sasa mine surficial tailings dam material from 15 to 60.
Kinematical variables towards new dynamics at the LHC
Christopher Rogan
Physics , 2010,
Abstract: At the LHC, many new physics signatures feature the pair-production of massive particles with subsequent direct or cascading decays to weakly-interacting particles, such as SUSY scenarios with conserved conserved R-parity or $H \to W(\ell\nu)W(\ell\nu)$. We present a set of dimension-less variables that can assist the early discovery of processes of this type in conjunction with a set of variables with mass dimension that will expedite the characterization of these processes.
A Study of Interaction of Ultrasonic and Optical Wave in Optical Fiber Using the Air Gap
Tadeusz Gudra, Sylwia Muc
Archives of Acoustics , 2011, DOI: 10.2478/v10168-011-0043-7
Abstract: There exist some possibilities for simultaneous delivery of laser radiation and ultrasounds of low frequency and high intensity: introducing ultrasound oscillations in the optical fiber by the rigid connection of the fiber to the vibrating element and non-contact influence of the ultrasonic wave on the laser beam. The article presents the results of Matlab simulations and experimental studies of influence of the ultrasonic wave on the laser beam. A role of the air gap, and its influence on laser-ultrasonic transmission in optical fiber was examined. Advantages and disadvantages of both solutions of interaction of ultrasonic and optical waves in, e.g., surgical applications are discussed.
The unifying mechanism in the initiation and prevention of breast and other human cancers
Cavalieri E,Rogan E
BMC Proceedings , 2009, DOI: 10.1186/1753-6561-3-s5-s8
Optimal statistic for detecting gravitational wave signals from binary inspirals with LISA
Aaron Rogan,Sukanta Bose
Physics , 2004, DOI: 10.1088/0264-9381/21/20/004
Abstract: A binary compact object early in its inspiral phase will be picked up by its nearly monochromatic gravitational radiation by LISA. But even this innocuous appearing candidate poses interesting detection challenges. The data that will be scanned for such sources will be a set of three functions of LISA's twelve data streams obtained through time-delay interferometry, which is necessary to cancel the noise contributions from laser-frequency fluctuations and optical-bench motions to these data streams. We call these three functions pseudo-detectors. The sensitivity of any pseudo-detector to a given sky position is a function of LISA's orbital position. Moreover, at a given point in LISA's orbit, each pseudo-detector has a different sensitivity to the same sky position. In this work, we obtain the optimal statistic for detecting gravitational wave signals, such as from compact binaries early in their inspiral stage, in LISA data. We also present how the sensitivity of LISA, defined by this optimal statistic, varies as a function of sky position and LISA's orbital location. Finally, we show how a real-time search for inspiral signals can be implemented on the LISA data by constructing a bank of templates in the sky positions.
Parameter estimation of binary compact objects with LISA: Effects of time-delay interferometry, Doppler modulation, and frequency evolution
Aaron Rogan,Sukanta Bose
Physics , 2006,
Abstract: We study the limits on how accurately LISA will be able to estimate the parameters of low-mass compact binaries, comprising white dwarfs (WDs), neutron stars (NSs) or black holes (BHs), while battling the amplitude, frequency, and phase modulations of their signals. We show that Doppler-phase modulation aids sky-position resolution in every direction, improving it especially for sources near the poles of the ecliptic coordinate system. However, it increases the frequency estimation error by a factor of over 1.5 at any sky position, and at f=3 mHz. Since accounting for Doppler-phase modulation is absolutely essential at all LISA frequencies and for all chirp masses in order to avoid a fractional loss of signal-to-noise ratio (SNR) of more than 30%, LISA science will be simultaneously aided and limited by it. For a source with f > 2.5mHz, searching for its frequency evolution for 1 year worsens the error in the frequency estimation by a factor of over 3.5 relative to that of sources with f < 1mHz. Increasing the integration time to 2 years reduces this relative error factor to about 2, which still adversely affects the resolvability of the galactic binary confusion noise. Thus, unless the mission lifetime is increased several folds, the only other recourse available for reducing the errors is to exclude the chirp parameter from ones search templates. Doing so improves the SNR-normalized parameter estimates. This works for the lightest binaries since their SNR itself does not suffer from that exclusion. However, for binaries involving a neutron star, a black hole, or both, the SNR and, therefore, the parameter estimation, can take a significant hit, thus, severely affecting the ability to resolve such members in LISA's confusion noise.
Population Fitness and Genetic Load of Single Nucleotide Polymorphisms Affecting mRNA splicing
Peter Rogan,Eliseos Mucaki
Quantitative Biology , 2011,
Abstract: Deleterious genetic variants can be evaluated as quantitative traits using information theory-based sequence analysis of recognition sites. To assess the effect of such variants, fitness and genetic load of SNPs which alter binding site affinity are derived from changes in individual information and allele frequencies. Human SNPs that alter mRNA splicing are partitioned according to their genetic load. SNPs with high genetic loads (>0.5) are common in the genome and, in many instances, predicted effects are supported by gene expression studies.
Machine Learning of the Reactor Core Loading Pattern Critical Parameters
Kre imir Trontl,Dubravko Pevec,Tomislav muc
Science and Technology of Nuclear Installations , 2008, DOI: 10.1155/2008/695153
Abstract: The usual approach to loading pattern optimization involves high degree of engineering judgment, a set of heuristic rules, an optimization algorithm, and a computer code used for evaluating proposed loading patterns. The speed of the optimization process is highly dependent on the computer code used for the evaluation. In this paper, we investigate the applicability of a machine learning model which could be used for fast loading pattern evaluation. We employ a recently introduced machine learning technique, support vector regression (SVR), which is a data driven, kernel based, nonlinear modeling paradigm, in which model parameters are automatically determined by solving a quadratic optimization problem. The main objective of the work reported in this paper was to evaluate the possibility of applying SVR method for reactor core loading pattern modeling. We illustrate the performance of the solution and discuss its applicability, that is, complexity, speed, and accuracy.
BIPAD: A web server for modeling bipartite sequence elements
Chengpeng Bi, Peter K Rogan
BMC Bioinformatics , 2006, DOI: 10.1186/1471-2105-7-76
Abstract: We introduce the Bipad Server [1], a web interface to predict sequence elements embedded within unaligned sequences. Either a bipartite model, consisting of a pair of one-block position weight matrices (PWM's) with a gap distribution, or a single PWM matrix for contiguous single block motifs may be produced. The Bipad program performs multiple local alignment by entropy minimization and cyclic refinement using a stochastic greedy search strategy. The best models are refined by maximizing incremental information contents among a set of potential models with varying half site and gap lengths.The web service generates information positional weight matrices, identifies binding site motifs, graphically represents the set of discovered elements as a sequence logo, and depicts the gap distribution as a histogram. Server performance was evaluated by generating a collection of bipartite models for distinct DNA binding proteins.Dimeric transcription factors often bind to bipartite genomic sequence elements (TFBS) in promoters, which are composed of two adjacent degenerate motifs with four possible orientations, separated by a flexible nucleotide spacer of unspecified sequence [2,3]. For example, nuclear receptor transcription factors, which form homo- or heterodimeric complexes, can potentiate transcription of downstream target genes by binding of degenerate bipartite sites that display partial internal sequence symmetry [4]. Characterization of these motifs, locating these sites, orientations and estimation of their binding affinities is crucial to understanding transcriptional responses to developmental and environmental cues.Bipartite sequence patterns can be discovered by de novo methods that enumerate, such as spaced dyad [5] and structured motif [6,7] algorithms, and with position weight matrices (PWM), such as those used by BioProspector [8] and Bipad [2,9]. Given a set of unaligned DNA sequences sharing a common bipartite or single-block pattern, the Bipad algorithm f
Fatal miliary Coccidioidomycosis in a patient receiving infliximab therapy: a case report
Mark P Rogan, Karl Thomas
Journal of Medical Case Reports , 2007, DOI: 10.1186/1752-1947-1-79
Abstract: Tumour necrosis factor-α (TNF-α) is a cytokine that plays an important role in inflammation. In pathophysiological conditions, generation of TNF at high levels leads to the development of inflammatory responses that are hallmarks of many diseases. Anti- tumor necrosis factor agents are being increasingly used for immunomodulation in a wide variety of clinical conditions including inflammatory bowel disease, arthritides, psoriasis and atopic dermatitis. Early data suggests that they may have potential roles in vasculitides [1] and possibly sarcoidosis [2]. It is estimated that there are over 400,000 people currently on anti- TNF-α therapies worldwide [3]. These agents include: infliximab which is a chimeric mouse/human monoclonal IgG1 antibody directed at TNF; etanercept: which consists of 2 two copies of recombinant human TNF receptor p75 attached to the Fc portion of IgG1 and adalimumab-a fully human monoclonal antibody. Newer anti- TNF-α agents such as CDP571, CDP870 and onercept are currently being investigated in clinical trials [4]. Despite increasing popularity and broadening indications for usage, the anti-TNF agents have been associated with a wide variety of infections. We report a case of fatal miliary coccidioidomycosis in a patient receiving infliximab therapy.A 78-year-old white gentleman from Iowa was diagnosed with sero-negative rheumatoid arthritis one year previously. He had been maintained on an immunosupressive regime consisting of methotrexate and the anti-tumor necrosis factor antibody, infliximab. A purified protein derivative skin test placed prior to initiation of infliximab was negative. His past medical history also included diabetes mellitus type II and hypertension. One-month prior to admission, he developed a slowly enlarging right cheek lesion (Figure 1). This was initially felt to be an area felt of localized cellulitis. He was treated with seven days of cephalexin and subsequently with amoxicillin/clavulanate without any significant r
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