573 resultados para Pesonen, Petro
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Greek and Latin in parallel columns ; texts with German notes.
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Mode of access: Internet.
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Mode of access: Internet.
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Incluye con portadilla propia: Petri Possini e Societate Jesu Observationum Pachymerianarum ad historiam rerum Michaelis Palaeologi libri tres ; Appendix ad observationes Pachymerianas specimen sapientiae Indorum veterum liber olim ex lingua Indica in Persicam a Perzoe Medico, ex Persica in Arabicam ab Anonymo, ex Arabica in Graecam a Symeone Seth, a Petro Possino Societ. Jesu novissime e Graeca in Latinam translatus.
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"Liste alphabétique des sources": p. xxxv-xxxviii.
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Mode of access: Internet.
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Back Row: manager Alfred May, Hugh Wilson, Ernie Vick, James Johns, Don Swan, trainer Archie Hahn
3rd Row: Frank Steketee, Bill Van Orden, Walter Dean, Paul Goebel, Stan Muirhead, Leroy Neisch, Theodore Bank
2nd Row: Charles Petro, Louis Curran, captain R. Jerome Dunne, Coach Fielding Yost, Frank Cappon, Douglas Roby
Front Row: Irwin Uteritz, John Searle, Harry Kipke, Robert Knode
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Back Row: assistant coach A.J. Sturznegger, Richard Rowland, Frank Czysz, Abe Cohn, George Planck, James Johns, Louis Lehman, William Van Orden, assistatn coach Robert Watson,
Center Row: John Searle, Allen Bailey, Grenville Andrews, Theodore Banks, George Gilmore, Horace Wachter, Frank Steketee, Meyer Paper, Charles Petro, assistant coach Prentiss Douglas
Front Row: Edward Usher, John Perrin, Viggo Nelson, John Dunn, Robert Jerome Dunne, Tad Wieman, head coach Fielding Yost, Angus Goetz, Ernie Vick, Hugh Wilson, Franklin Cappon, William Fortune
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Back Row: assistant coach A.J. Sturznegger, Richard Rowland, Frank Czysz, Abe Cohn, George Planck, James Johns, Louis Lehman, William Van Orden, assistant coach Robert Watson,
Center Row: John Searle, Allen Bailey, Grenville Andrews, Theodore Banks, George Gilmore, Horace Wachter, Frank Steketee, Meyer Paper, Charles Petro, assistant coach Prentiss Douglas
Front Row: Edward Usher, John Perrin, Viggo Nelson, John Dunn, Robert Jerome Dunne, Tad Wieman, head coach Fielding Yost, Angus Goetz, Ernie Vick, Hugh Wilson, Franklin Cappon, William Fortune
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Usually, generalization is considered as a function of learning from a set of examples. In present work on the basis of recent neural network assembly memory model (NNAMM), a biologically plausible 'grandmother' model for vision, where each separate memory unit itself can generalize, has been proposed. For such a generalization by computation through memory, analytical formulae and numerical procedure are found to calculate exactly the perfectly learned memory unit's generalization ability. The model's memory has complex hierarchical structure, can be learned from one example by a one-step process, and may be considered as a semi-representational one. A simple binary neural network for bell-shaped tuning is described.
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Similar to classic Signal Detection Theory (SDT), recent optimal Binary Signal Detection Theory (BSDT) and based on it Neural Network Assembly Memory Model (NNAMM) can successfully reproduce Receiver Operating Characteristic (ROC) curves although BSDT/NNAMM parameters (intensity of cue and neuron threshold) and classic SDT parameters (perception distance and response bias) are essentially different. In present work BSDT/NNAMM optimal likelihood and posterior probabilities are analytically analyzed and used to generate ROCs and modified (posterior) mROCs, optimal overall likelihood and posterior. It is shown that for the description of basic discrimination experiments in psychophysics within the BSDT a ‘neural space’ can be introduced where sensory stimuli as neural codes are represented and decision processes are defined, the BSDT’s isobias curves can simultaneously be interpreted as universal psychometric functions satisfying the Neyman-Pearson objective, the just noticeable difference (jnd) can be defined and interpreted as an atom of experience, and near-neutral values of biases are observers’ natural choice. The uniformity or no-priming hypotheses, concerning the ‘in-mind’ distribution of false-alarm probabilities during ROC or overall probability estimations, is introduced. The BSDT’s and classic SDT’s sensitivity, bias, their ROC and decision spaces are compared.
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On the basis of convolutional (Hamming) version of recent Neural Network Assembly Memory Model (NNAMM) for intact two-layer autoassociative Hopfield network optimal receiver operating characteristics (ROCs) have been derived analytically. A method of taking into account explicitly a priori probabilities of alternative hypotheses on the structure of information initiating memory trace retrieval and modified ROCs (mROCs, a posteriori probabilities of correct recall vs. false alarm probability) are introduced. The comparison of empirical and calculated ROCs (or mROCs) demonstrates that they coincide quantitatively and in this way intensities of cues used in appropriate experiments may be estimated. It has been found that basic ROC properties which are one of experimental findings underpinning dual-process models of recognition memory can be explained within our one-factor NNAMM.
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The multifunctional properties of carbon nanotubes (CNTs) make them a powerful platform for unprecedented innovations in a variety of practical applications. As a result of the surging growth of nanotechnology, nanotubes present a potential problem as an environmental pollutant, and as such, an efficient method for their rapid detection must be established. Here, we propose a novel type of ionic sensor complex for detecting CNTs – an organic dye that responds sensitively and selectively to CNTs with a photoluminescent signal. The complexes are formed through Coulomb attractions between dye molecules with uncompensated charges and CNTs covered with an ionic surfactant in water. We demonstrate that the photoluminescent excitation of the dye can be transferred to the nanotubes, resulting in selective and strong amplification (up to a factor of 6) of the light emission from the excitonic levels of CNTs in the near-infrared spectral range, as experimentally observed via excitation-emission photoluminescence (PL) mapping. The chirality of the nanotubes and the type of ionic surfactant used to disperse the nanotubes both strongly affect the amplification; thus, the complexation provides sensing selectivity towards specific CNTs. Additionally, neither similar uncharged dyes nor CNTs covered with neutral surfactant form such complexes. As model organic molecules, we use a family of polymethine dyes with an easily tailorable molecular structure and, consequently, tunable absorbance and PL characteristics. This provides us with a versatile tool for the controllable photonic and electronic engineering of an efficient probe for CNT detection.
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A semi-quantitative model is put forward elucidating the role of spatial inhomogeneity of charge carrier mobility in organic field-effect transistors. The model, based on electrostatic arguments, allows estimating the effective thickness of the conducting channel and its changes in function of source-drain and gate voltages. Local mobility gradients in the direction perpendicular to the insulator/semiconductor interface translate into voltage dependences of the average carrier mobility in the channel, resulting in positive or negative deviations of current-voltage characteristics from their expected shapes. The proposed effect supplements those described in the literature, i.e., density-dependent mobility of charge carriers, short-channel effects, and contribution of contact resistance.
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Absorption, photoluminescence, and photoluminescence excitation spectra of solutions and thin films of N-vinylcarbazole polymers and copolymers with various substituents directly on the carbazole moiety and on the polymer chain were studied comprehensively. Polymers that were used previously to develop polymer composites with polymethine dyes having photosensitivity over a broad spectral range including the visible and near-IR regions were selected for the studies.