WRITING ELECTRONIC FERROMAGNETIC STATES IN A HIGH-TEMPERATURE PARAMAGNETIC NUCLEAR SPIN SYSTEM

In this paper, we use Nuclear Magnetic Resonance (NMR) to write electronic states of a ferromagnetic system into high-temperature paramagnetic nuclear spins. Through the control of phase and duration of radio frequency pulses, we set the NMR density matrix populations, and apply the technique of quantum state tomography to experimentally obtain the matrix elements of the system, from which we calculate the temperature dependence of magnetization for different magnetic fields. The effects of the variation of temperature and magnetic field over the populations can be mapped in the angles of spin rotations, carried out by the RF pulses. The experimental results are compared to the Brillouin functions of ferromagnetic ordered systems in the mean field approximation for two cases: the mean field is given by (i) B = B(0) + lambda M and (ii) B = B(0) + lambda M + lambda`M(3), where B(0) is the external magnetic field, and lambda, lambda` are mean field parameters. The first case exhibits second order transition, whereas the second case has first order transition with temperature hysteresis. The NMR simulations are in good agreement with the magnetic predictions.

U-curve: A branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem

This paper presents the formulation of a combinatorial optimization problem with the following characteristics: (i) the search space is the power set of a finite set structured as a Boolean lattice; (ii) the cost function forms a U-shaped curve when applied to any lattice chain. This formulation applies for feature selection in the context of pattern recognition. The known approaches for this problem are branch-and-bound algorithms and heuristics that explore partially the search space. Branch-and-bound algorithms are equivalent to the full search, while heuristics are not. This paper presents a branch-and-bound algorithm that differs from the others known by exploring the lattice structure and the U-shaped chain curves of the search space. The main contribution of this paper is the architecture of this algorithm that is based on the representation and exploration of the search space by new lattice properties proven here. Several experiments, with well known public data, indicate the superiority of the proposed method to the sequential floating forward selection (SFFS), which is a popular heuristic that gives good results in very short computational time. In all experiments, the proposed method got better or equal results in similar or even smaller computational time. (C) 2009 Elsevier Ltd. All rights reserved.

Optical changes and writing on hydrotalcite supported gold nanoparticles

Gold nanoparticles (AuNP) incorporated into hydrotalcite (HT), provide an interesting type of pigment in which temperature can modulate the plasmon resonance and the aggregation phenomenon. As inferred from microscopy techniques, the preferential binding sites are located at the border of the HT external basal surface, leading to aggregates of gold nanoparticles displaying characteristic plasmon resonance and interference bands around 520 and 700 nm, respectively. The thermally induced color changes in the HT-supported gold material arise from the competition between of nanoparticles aggregation and fusion processes, as characterized by TEM and STM. A laser beam can also induce such changes, allowing the writing of optical information on this type of material.

Writing-to-Learn Using Social Pedagogy and Technology

Accounting faculty from LaGuardia will share the structure and results of an initiative centered on using ePortfolio and social pedagogy to facilitate writing-to-learn for accounting students. Through a series of ePortfolio-based assignments that connected two classes, along with an in-class writing workshop conducted by non-discipline faculty, students worked together to understand the importance of writing in the accounting discipline and strengthened their writing abilities.

Nonstationary feature extraction techniques for automatic classification of impact acoustic signals

Condition monitoring of wooden railway sleepers applications are generallycarried out by visual inspection and if necessary some impact acoustic examination iscarried out intuitively by skilled personnel. In this work, a pattern recognition solutionhas been proposed to automate the process for the achievement of robust results. Thestudy presents a comparison of several pattern recognition techniques together withvarious nonstationary feature extraction techniques for classification of impactacoustic emissions. Pattern classifiers such as multilayer perceptron, learning cectorquantization and gaussian mixture models, are combined with nonstationary featureextraction techniques such as Short Time Fourier Transform, Continuous WaveletTransform, Discrete Wavelet Transform and Wigner-Ville Distribution. Due to thepresence of several different feature extraction and classification technqies, datafusion has been investigated. Data fusion in the current case has mainly beeninvestigated on two levels, feature level and classifier level respectively. Fusion at thefeature level demonstrated best results with an overall accuracy of 82% whencompared to the human operator.

Are We Terribly Different? : A case-study of male and female fiction-writing in English

The aim of this study is to find similarities and differences between male and female fiction-writing. The data has been collected from pupils at an upper secondary school in Central Sweden. They were given an extract from a novel by Bernard MacLaverty and from that they were supposed to continue the story.Theories that have evolved during the last centuries claim that the language use between men and women differ in many aspects. Women, it is said, use a more emotional language than men do, while men use more expletives than women. Likewise, the language is said to differ in the use of adverbs, verbs and adjectives. It has also been claimed that men and women have different topic developments and that women write longer sentences than men.The results of the current study show that most of these claims are false, or at least not true in this specific context. In most cases there is little or no difference between the male writing and the female writing. There are also cases where the opposite is true – for example, the female participants write shorter sentences than the male participants. A general conclusion of the study is that the writing between the two groups are quite similar – or at least that similarities are present to a larger extent than differences.

Face Detection and Facial Feature Localization for multi-pose faces and complex backgroundimages

The objective of this thesis work, is to propose an algorithm to detect the faces in a digital image with complex background. A lot of work has already been done in the area of face detection, but drawback of some face detection algorithms is the lack of ability to detect faces with closed eyes and open mouth. Thus facial features form an important basis for detection. The current thesis work focuses on detection of faces based on facial objects. The procedure is composed of three different phases: segmentation phase, filtering phase and localization phase. In segmentation phase, the algorithm utilizes color segmentation to isolate human skin color based on its chrominance properties. In filtering phase, Minkowski addition based object removal (Morphological operations) has been used to remove the non-skin regions. In the last phase, Image Processing and Computer Vision methods have been used to find the existence of facial components in the skin regions.This method is effective on detecting a face region with closed eyes, open mouth and a half profile face. The experiment’s results demonstrated that the detection accuracy is around 85.4% and the detection speed is faster when compared to neural network method and other techniques.

Identification of cause of impairment in spiral drawings, using non-stationary feature extraction approach

Parkinson’s disease is a clinical syndrome manifesting with slowness and instability. As it is a progressive disease with varying symptoms, repeated assessments are necessary to determine the outcome of treatment changes in the patient. In the recent past, a computer-based method was developed to rate impairment in spiral drawings. The downside of this method is that it cannot separate the bradykinetic and dyskinetic spiral drawings. This work intends to construct the computer method which can overcome this weakness by using the Hilbert-Huang Transform (HHT) of tangential velocity. The work is done under supervised learning, so a target class is used which is acquired from a neurologist using a web interface. After reducing the dimension of HHT features by using PCA, classification is performed. C4.5 classifier is used to perform the classification. Results of the classification are close to random guessing which shows that the computer method is unsuccessful in assessing the cause of drawing impairment in spirals when evaluated against human ratings. One promising reason is that there is no difference between the two classes of spiral drawings. Displaying patients self ratings along with the spirals in the web application is another possible reason for this, as the neurologist may have relied too much on this in his own ratings.

The Place of Writing in the Poetry of W. B. Yeats and Patrick Kavanagh

Abstract This article addresses the theme of place in the poetry of W. B. Yeats and Patrick Kavanagh, focusing on the concept of place as a physical and psychological entity. The article explores place as a creative force in the work of these two poets, in relation to the act of writing. Seamus Heaney, in his essay “The Sense of Place,” talks about the “history of our sensibilities” that looks to the stable element of the land for continuity: “We are dwellers, we are namers, we are lovers, we make homes and search for our histories” (Heaney 1980: 148-9). Thus, in a physical sense, place is understood as a site in which identity is located and defined, but in a metaphysical sense, place is also an imaginative space that maps the landscapes of the mind. This article compares the different ways in which Yeats and Kavanagh relate to their place of writing, physically and artistically, where place is understood as a physical lived space, and as a liberating site for an exploration of poetic voice, where the poet creates his own country of the mind.

The place of writing in the poetry of W.B Yeats and Patrick Kavanagh

This article addresses the theme of place in the poetry of W. B. Yeats and Patrick Kavanagh, focusing on the concept of place as a physical and psychological entity. The article explores place as a creative force in the work of these two poets, in relation to the act of writing. Seamus Heaney, in his essay “The Sense of Place,” talks about the “history of our sensibilities” that looks to the stable element of the land for continuity: “We are dwellers, we are namers, we are lovers, we make homes and search for our histories” (Heaney 1980: 148-9). Thus, in a physical sense, place is understood as a site in which identity is located and defined, but in a metaphysical sense, place is also an imaginative space that maps the landscapes of the mind. This article compares the different ways in which Yeats and Kavanagh relate to their place of writing, physically and artistically, where place is understood as a physical lived space, and as a liberating site for an exploration of poetic voice, where the poet creates his own country of the mind.