263,415 research outputs found

    New Fusarium wilt resistant melon (Cucumis melo var. cantalupensis) varieties developed by dihaploidization: Sari F1, Yetisir F 1, Solmaz F1, Emin F1 and Yucel F1

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    Researches on Galia type melon breeding was started in 1995 at Cukurova University, Turkey. The aim of this study was to develop new melon cultivars which belong to Cucumis melo var. cantalupensis group having high yield and quality, suitable for both greenhouse and open field cultivation and also resistant to race 0 and 1 of Fusarium oxysporum f. sp. melonis wilt which are common in Turkey. For this purpose 9 female parental lines were crossed with the donor male parents which are resistant to 0 and 1 races of Fusarium wilt. By this way F1 hybrids were produced, and after the first backcrosses were done, BC1 genotypes were developed. Haploid embryo inductions and haploid plant productions were obtained by pollination with irradiated pollen. These haploid plants were duplicated by colchisine treatment and dihaploid pure lines were produced. General combination ability and special combination ability tests were conducted and more than 200 F1 hybrids were developed. These hybrids were tested in open field and greenhouse conditions for many years and Sari F1 was registered in 2008, Yetisir F1, Solmaz F 1, Emin F1 and Yucel F1 were registered in 2009 by Central Certification and Registration Management of Turkish Ministry of Agriculture. These 5 varieties have some differences concerning their total and early yields, fruit size and TSSC

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Modeling the impact of interaction on pedestrian group motion

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    Mobile social robots aimed at interacting with and assisting humans in pedestrian areas need to understand the dynamics of pedestrian social interaction. In this work, we investigate the effect of interaction on pedestrian group motion by defining three motion models to represent (1) interpersonal-distance, (2) relative orientation and (3) absolute difference of velocities; and model them using a dataset of 12000+ pedestrian trajectories recorded in uncontrolled settings. Our contributions include: (i) Demonstrating that interaction has a prominent effect on the empirical distributions of the proposed joint motion attributes, where increasing levels of interaction lead to more regular behavior (ii) Developing analytic motion models of such distributions and reflect the effect of interaction on model parameters (iii) Detecting the social groups in a crowd with almost perfect accuracy utilizing the proposed models, despite the constant flow direction in the environment which causes unrelated pedestrians to move in a correlated way, and thus makes group recognition more difficult (iv) Estimating the level of intensity with considerable rates utilizing the proposed models

    Protecting Animals 36: Author Witi Ihimaera

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    In this very special episode of Knowing Animals I am joined by beloved New Zealand author Witi Ihimaera. Witi has written many books featuring nonhuman animals. He offers us a non-colonial lens through which to think about the human/nonhuman relationship

    Author Under Sail The Imagination of Jack London, 1893-1902

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    In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries

    Neuronal, physiological and brain–behavioural abnormalities in opiate-addicted individuals

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    Illustrated are the group level dorsal anterior cingulate cortex (dACC) BOLD activation maps and the spatial location of the volume localized proton-MRS (superimposed in blue) on a sagittaly oriented structural MR image (MNI, Talairach brain) for healthy controls (panel a) and opiate-dependent subject (panel b). While both groups activated the dACC to comparable levels, the opiate-using group (i) failed to show the expected correlations between dACC physiological activity and behavioural measures of control (that is, response errors) shown by the control group, (ii) had significantly increased task-related activation of fronto-parietal and cerebellar regions to achieve a comparable level of behavioural control as healthy controls and (iii) exhibited significantly reduced concentrations of N-acetylaspartate (NAA) and glutamate/glutamine (Glx) within the dACC (panel c; horizontal bars represent mean values). Taken together, these findings suggest that neuronal abnormalities and a breakdown of normal brain–behaviour relationships within the dACC of opiate addicted individuals may result in the recruitment of a compensatory network of brain regions in situations requiring behavioural control. For more information on this topic, please see the article by Yucel et al. on pp 691–702

    Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning

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    This study focuses on foreign language vocabulary learning in computerized medium and seeks for any possibility of adaptation with respect to background information on word classes. To that end, we employ a spaced repetition flashcard software and display English vocabulary belonging to three word classes as (i) abstract noun, (ii) concrete noun, and (iii) verb. Regarding each word class, we deploy three sets of words with difficulty levels of (i) easy, (ii) medium, and (iii) hard. Through log file analysis, we derive several behavioral variables and examine the polyserial correlation between these variables and difficulty levels across different word classes. It is found that abstract and concrete nouns do not have any significant difference in terms of the correlation for the five kinds of behavioral variables in focus. However, it is noted that front sides of the cards involving verbs are observed relatively longer, while back sides are observed for somewhat shorter duration

    Robustifying Eye Center Localization by Head Pose Cues

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    Head pose and eye location estimation are two closely related issues which refer to similar application areas. In recent years, these problems have been studied individually in numerous works in the literature. Previous research shows that cylindrical head models and isophote based schemes provide satisfactory precision in head pose and eye location estimation, respectively. However, the eye locator is not adequate to accurately locate eye in the presence of extreme head poses. Therefore, head pose cues may be suited to enhance the accuracy of eye localization in the presence of severe head poses.In this paper, a hybrid scheme is proposed in which the transformation matrix obtained from the head pose is used to normalize the eye regions and, in turn the transformation matrix generated by the found eye location is used to correct the pose estimation procedure. The scheme is designed to (I) enhance the accuracy of eye location estimations in low resolution videos, (2) to extend the operating range of the eye locator and (3) to improve the accuracy and re-initialization capabilities of the pose tracker.From the experimental results it can be derived that the proposed unified scheme improves the accuracy of eye estimations by 16% to 23%. Further, it considerably extends its operating range by more than 15, by overcoming the problems introduced by extreme head poses. Finally, the accuracy of the head pose tracker is improved by 12% to 24%

    Macroscopic and microscopic dynamics of a pedestrian cross-flow: Part I, experimental analysis

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    In this work we investigate the behaviour of a human crowd in a cross-flow by analysing the results of a set of controlled experiments in which subjects were divided into two groups, organised in such a way to explore different density settings, and asked to walk through the crossing area. We study the results of the experiment by defining and investigating a few macroscopic and microscopic observables. Along with analysing traditional indicators such as density and velocity, whose dynamics was, to the extent of our knowledge, poorly understood for this setting, we pay particular attention to walking and body orientation, studying how these microscopic observables are influenced by density. Furthermore, we report a preliminary but quantitative analysis on the emergence of self-organising patterns (stripes) in the crossing area, a phenomenon that had been previously qualitatively reported for human crowds, and reproduced in models, but whose quantitative analysis with respect to density conditions is, again according to our knowledge, a novel contribution

    Walk the Talk: Gestures in Mobile Interaction

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    This study aims at describing navigation guidelines and concerning analytic motion models for a mobile interaction robot, which moves together with a human partner. We address particularly the impact of gestures on the coupled motion of this human-robot pair. We pose that the robot needs to adjust its navigation in accordance to its gestures in a natural manner (mimicking human-human locomotion). In order to justify this suggestion, we first examine the motion patterns of real-world pedestrian dyads in accordance to 4 affective components of interaction (i.e. gestures). Three benchmark variables are derived from pedestrian trajectories and their behavior is investigated with respect to three conditions: (i) presence/absence of isolated gestures, (ii) varying number of simultaneously performed (i.e. concurring) gestures, (iii) varying size of the environment. It is observed empirically and proven quantitatively that there is a significant difference in the benchmark variables between presence and absence of the gestures, whereas no prominent variation exists in regard to the type of gesture or the number of concurring gestures. Moreover, size of the environment is shown to be a crucial factor in sustainability of the group structure. Subsequently, we propose analytic models to represent these behavioral variations and prove that our models attain significant accuracy in reflecting the distinctions. Finally, we propose an implementation scheme for integrating the analytic models to practical applications. Our results bear the potential of serving as navigation guidelines for the robot so as to provide a more natural interaction experience for the human counterpart of a robot-pedestrian group on-the-move
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