1,754 research outputs found
Jessica Hagedorn, 19th Annual ODU Literary Festival
Jessica Hagedorn Born and raised in the Philippines, Jessica Hagedorn is well-known as a performance artist, poet, and playwright. She is the author of the novel Dogeaters (Penguin), which was nominated for the National Book Award. Hagedorn wrote the screenplay for Fresh Kill, an independent first feature film directed and produced by Shu Lea Cheang and has collaborated on film projects, Color Schemes and Those Fluttering Objects of Desire. Her multimedia theater pieces include Teenytown, The Art of War: Nine situations, and Holy Food. Hagedorn is the recipient of a 1994 Lila Wallace Reader’s Digest Writers Award, and a 1995 NEA Creative Writing Fellowship. Her new novel, The Gangster of Love has been recently released by Houghton Mifflin
On Hagedorn wavepackets associated with different Gaussians
Hagedorn functions are carefully constructed generalizations of Hermite functions to the setting of many-dimensional squeezed and coupled harmonic systems. Wavepackets formed by superpositions of Hagedorn functions have been successfully used to solve the time-dependent Schrödinger equation exactly in harmonic systems and variationally in anharmonic systems. To evaluate typical observables, such as position or kinetic energy, it is sufficient to consider orthonormal Hagedorn functions with a single Gaussian center. Instead, we derive various relations between Hagedorn bases associated with different Gaussians, including their overlaps, which are necessary for evaluating quantities nonlocal in time, such as the time correlation functions needed for computing spectra. First, we use the Bogoliubov transformation to obtain the commutation relations between the ladder operators associated with different Gaussians. Then, instead of using numerical quadrature, we employ these commutation relations to derive exact recurrence relations for the overlap integrals between Hagedorn functions with different Gaussian centers. Finally, we present numerical experiments that demonstrate the accuracy and efficiency of * Author to whom any correspondence should be addressed.LCP
Chemical equilibration due to heavy Hagedorn states
A scenario of heavy resonances, called massive Hagedorn states, is proposed which exhibits a fast (t H 1 fm/c) chemical equilibration of (strange) baryons and anti-baryons at the QCD critical temperature Tc. For relativistic heavy ion collisions this scenario predicts that hadronization is followed by a brief expansion phase during which the equilibration rate is higher than the expansion rate, so that baryons and antibaryons reach chemical equilibrium before chemical freeze-out occurs. PACS-Nr.: 12.38.M
Hagedorn states and thermalization : XLIX International Winter Meeting on Nuclear Physics, 24 - 28 January 2011, Bormio, Italy
In recent years, Hagedorn states have been used to explain the equilibrium and transport properties of a hadron gas close to the QCD critical temperature. These massive resonances are shown to lower h/s to near the AdS/CFT limit close to the phase transition. A comparison of the Hagedorn model to recent lattice results is made and it is found that the hadrons can reach chemical equilibrium almost immediately, well before the chemical freeze-out temperatures found in thermal fits for a hadron gas without Hagedorn states
On the Hagedorn behaviour of pp-wave strings and N = 4 SYM theory at finite R-charge density
We discuss the high temperature behaviour of IIB strings in the maximally symmetric plane wave background, and show that there is a Hagedorn temperature. We discuss the map between strings in the pp-wave background and the dual superconformal field theory in the thermal domain. The Hagedorn bound describes a curve in the R-charge chemical potential versus temperature phase diagram of the dual Yang-Mills theory and the theory manifestly exists on both sides. Using a recent observation of Brower, Lowe, and Tan, we update our earlier calculation to reflect that the pp-wave string exists on both sides of the Hagedorn bound as well.</p
Modeling maladaptive decision-making in a rat version of the Iowa Gambling Task
Deficits in decision-making have been repeatedly observed in various psychiatric disorders (i.e. ADHD, Pathological Gambling, Mania, OCD and Substance Abuse) as well as in frontal lobe patients. Such decision-making deficits are often assessed using the Iowa Gambling task (IGT) [1]. The IGT represents a realistic decision-making task where subjects are asked to choose between targets associated with rewards and penalties of varying likelihood and amplitude. Previous studies have shown that when healthy participants take the IGT, around a third of these perform poorly, similar to psychiatric patients [1].Recently, these behavioral findings were successfully translated to animal research in a rodent version of the IGT, the Rat Gambling Task (RGT). In common with human studies, it was found that a third of a healthy population of rats exhibited poor decision-making performances [2]. The rats were tested in other tasks aiming at characterizing behavioral traits such as impulsivity, sensitivity to reward, cognitive inflexibility and risk seeking. Poor decision makers were always characterized by high scores for a combination of these behavioral traits.Here we use a model of learning and decision-making in the RGT to answer the following questions: (1) how do the behavioral traits described above influence learning; (2) how is this manifested in terms of their decision-making performance?In order to model the learning and decision process of the RGT, we used a TD-learning algorithm [3]. The model agent experiences the environment by learning the values of rewards and penalties for each state using trial and error sampling. As the agent gets a more accurate representation of the environment, it takes more appropriate decisions, using a ‘softmax’ action selection process. The RGT is modeled as a Markov decision process and we extended the classical TD-learning algorithm by incorporating risk seeking [4], reward sensitivity and cognitive inflexibility. These behavioral traits were implemented independently and influence either the learning rate or the perception of rewards by the agent. The parameters of the model were extracted for each rat by fitting their performance to the model.We found that the model could account for the performances of good and poor subpopulations of decision makers. Additionally, the parameters defining the behavioral traits extracted from the model correlated significantly with those measured experimentally for the poor and good decision makers’ subgroups. The model was also able to predict the inflexibility of poor decision makers during reversal conditions.Our work supports the hypothesis that it is a combination of high scores for risk seeking, sensitivity to reward and cognitive inflexibility that lead to poor decision-making performances. According to the model, behavioral traits affect the learning process of the subjects by altering the estimated value of the received rewards and reducing their ability to reverse their initial estimations. This results in an incorrect perception of the environment, leading to an optimal decision-making according to their world representation but aberrant according to the real outcome of the task.<br/
Menschen-Rechte statt Almosen
Schüssler R. Menschen-Rechte statt Almosen. In: Hagedorn K, ed. Biotope der Ermutigung. Oldenburg: BIS-Verl. der Carl-von-Ossietzky-Univ.; 2008: 591-611
Scolytoplatypus minimus Hagedorn
12. Scolytoplatypus minimus Hagedorn Scolytoplatypus minimus Hagedorn 1904: 125. Thai distribution: N: Chiang Mai (Beaver & Browne 1975); N-E: Nan; S: Nakhon Sri Thammarat. New records: Nakhon Sri Thammarat, Namtok Yong NP, Road to Khao Mhen, 150 m from Nern 499, 8° 16.959' N, 99° 39.149' E, 499 m, MT, 15–22.vii.2008 (Samnaokan, S.) (1); Nan, Doi Phu Kha NP, Office 15, 19° 12.133' N, 101° 4.756' E, 1310 m, MT, 1–8.xii.2007 (Charoen & Nikom) (1); as previous except: Office 14, 19°12.488' N, 101° 4.907' E, 1375 m, pan trap, 3–4.xii.2007 (Charoen & Nikom) (3); Other distribution: India (Uttar Pradesh, West Bengal). (2) Biology: Recorded from five different host tree families, and evidently polyphagous. Illustrations: P (Beaver & Gebhardt 2006); D (Maiti & Saha 2009).Published as part of Beaver, R. A., Sittichaya, W. & Liu, L-Y., 2014, A Synopsis of the Scolytine Ambrosia Beetles of Thailand (Coleoptera: Curculionidae: Scolytinae), pp. 1-82 in Zootaxa 3875 (1) on page 18, DOI: 10.11646/zootaxa.3875.1.1, http://zenodo.org/record/513058
Stochastic analysis related to Gamma measures : Gibbs perturbations and associated diffusions
Hagedorn D. Stochastic analysis related to Gamma measures : Gibbs perturbations and associated diffusions. Bielefeld: Universität Bielefeld; 2011
Abschlussbericht Modellversuch „Unterstützung der KMU des Einzelhandels bei der Umsetzung der neuen gestaltungsoffenen Ausbildung“
Hagedorn U, Huisinga R. Abschlussbericht Modellversuch „Unterstützung der KMU des Einzelhandels bei der Umsetzung der neuen gestaltungsoffenen Ausbildung“.; 2007
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