2,110 research outputs found
The Use of Visual Imagery in Asperger Syndrome
No full textAbstract
Date Presented 3/30/2017
This poster presents a pilot study that showed that visual imagery increased activity of daily living skills in participants with Asperger syndrome. To date, there has been no such documented research. Limitations will be outlined with a quantitative study in mind.
Primary Author and Speaker: Pat Precin
Contributing Authors: Michele Floria, Simi Thomas, January Magno, Diana Chang, Charles Jean-Paul</jats:p
Extracting Dependency Relations for Opinion Mining
No full textIntent mining is a special kind of document analysis whose goal is to assess the attitude of the document author with respect to a given subject. Opinion mining is a kind of intent mining where the attitude is a positive or negative opinion. Techniques based on extracting dependency relations have proven more effective for intent mining than traditional bag-of-word approaches. We propose an approach to opinion mining which uses frequent dependency sub-trees as features for classifying documents and extracting opinions. We developed an efficient multi-language dependency parser to analyze documents and extracting dependency relations which can be used on large scale collections. An opinion retrieval system has been built and is being tested on the TREC 2006 Blog Opinion task
New Uintan and Duchesnean (Middle and Late Eocene) Rodents from the Sespe Formation, Simi Valley, California
No full textA paleontologic impact mitigation program being conducted at the Simi Valley Landfill in southern California is yielding new species and new geologic and geographic occurrences of middle and late Eocene rodents representing the families Eomyidae, Heliscomyidae, Simimyidae, and ?Zapodidae from the middle member of the continental Sespe Formation. These rodents include Namatomys sp., cf. TV. fantasma Lindsay, Namatomys sp., Paradjidaumo reynoldsi new species, Heliscomys sp., Simimys landerinew species, and Simiacritomys whistled new genus and species
Framing otherness in the US political discourse around the Ukranian-Russian war. The case of pronouns
No full textIl discorso politico spesso denota come il linguaggio venga manipolato per raggiungere un proprio fine. Questo studio indaga la manipolazione della deissi nel discorso politico Statunitense in merito alla guerra Russo-Ucraina. Utilizzando tecniche di linguistica dei corpora, questo articolo analizza l’uso dei pronomi nei discorsi pronunciati al Senato degli Stati Uniti durante il primo anno di conflitto Russo-Ucraino dai rappresentanti dei due maggiori partiti Statunitensi: Partito Democratico e Partito Repubblicano. Attraverso un approccio corpus-assisted, questa ricerca approfondisce gli aspetti qualitativi e quantitativi di come i rappresentanti politici utilizzino la deissi per costruire un’identità e influenzare gli ascoltatori guidandoli verso una particolare prospettiva.In political discourse, language is often manipulated to achieve one’s own political end. The present study aims at investigating the manipulation of person deixis in the United States political discourse around the Ukranian-Russian war. Through the framework of corpus linguistics, the author will analyse the use of pronouns in a corpus of speeches made at the United States Senate during the first year of conflict from the representatives of the two major parties of the United States: Democrat and Republican. The corpus includes the speeches delivered between February 2022 and February 2023 in relation to the Ukranian-Russian war. By means of a corpus-assisted approach, this research will delve into the qualitative and quantitative aspects of how political representatives employ person deixis to construct various facets of identity and sway the audience towards embracing a particular perspective
Generalized Abstracted Mean Values
No full textIn this article, the author introduces the generalized abstracted mean values which extend the concepts of most means with two variables, and researches their basic properties and monotonicities
Blog Mining Through Opinionated Words
No full textIntent mining is a special kind of document analysis whose goal is to assess the attitude of the document author with respect to a given subject.
Opinion mining is a kind of intent mining where the attitude is a positive or negative opinion.
Most systems tackle the problem with a two step approach, an information retrieval followed by a postprocess or filter phase to identify opinionated blogs. We explored a single stage approach to opinion mining, retrieving opinionated documents ranked with a special ranking function which exploits an index enriched with opinion tags. A set of subjective words are used as tags for identifying opinionated sentences. Subjective words are marked as “opinionated” and are used in the retrieval phase to boost the rank of
documents containing them. In indexing the collection, we recovered the relevant content from the blog permalink pages, exploiting HTML metadata about the generator and heuristics to remove irrelevant parts from the body. The index also contains information about the occurrence of opinionated words, extracted from an analysis of WordNet glosses. The experiments compared the
precision of normal queries with respect to queries which included as constraint the
proximity to an opinionated word. The results show a significant improvement in precision for both topic relevance and opinion relevance
Modeling of a compliant joint in a Magnetic Levitation System for an endoscopic camera
No full textA novel compliant Magnetic Levitation System (MLS) for a wired miniature surgical camera robot was designed, modeled and fabricated. The robot is composed of two main parts, head and tail, linked by a compliant beam. The tail module embeds two magnets for anchoring and manual rough translation. The head module incorporates two motorized donut-shaped magnets and a miniaturized vision system at the tip. The compliant MLS can exploit the static external magnetic field to induce a smooth bending of the robotic head (0–80º), guaranteeing a wide span tilt motion of the point of view. A nonlinear mathematical model for compliant beam was developed and solved analytically in order to describe and predict the trajectory behaviour of the system for different structural parameters. The entire device is 95mm long and 12.7mm in diameter. Use of such a robot in single port or standard multiport laparoscopy could enable a reduction of the number or size of ancillary trocars, or increase the number of working devices that can be deployed, thus paving the way for multiple view point laparoscopy.Biomechanical EngineeringMechanical, Maritime and Materials Engineerin
Experiments on the use of feature selection and negative evidence in automated text categorization
No full textWe tackle two different problems of text categorization (TC), namely feature selection and classifier induction. Feature selection (FS) refers to the activity of selecting, from the set of r distinct features (i.e. words) occurring in the collection, the subset of r′ ≪ r features that are most useful for compactly representing the meaning of the documents. We propose a novel FS technique, based on a simplified variant of the X2 statistics. Classifier induction refers instead to the problem of automatically building a text classifier by learning from a set of documents pre-classified under the categories of interest. We propose a novel variant, based on the exploitation of negative evidence, of the well-known k-NN method. We report the results of systematic experimentation of these two methods performed on the standard REUTERS-21578 benchmark
Literary discourse: Do writers put the ‘author’ in authority? Disruption in literature regarding authorship and authority
No full textThe exploration of disruption regarding the authorship and authority relationship—if there is one at all —is a beyond challenging concept; and because of this raises ontological questions. The texts The Pillowman and The Good Soldier provide an interesting scope for this investigation, as the characters are aware of themselves as authors and of the readers within the narrative. Can we ever separate authorship and authority? I will explore the disturbing effect that authority has on the relationship between text, reader and author. Clearly, the lines are blurred when regarding Cora Kaplan’s statement—“For me the greatest danger when reading a literary text is to assume that authorship and authority mean the same thing.” The factors I will discuss are: subjectivity, power relations, unreliable narration, self-conscious narrative, the meaning of art and egalitarianism and the value of names and texts. These factors appear to blur the lines between authorship and authority. The factors I chose to discuss acquired analysis and further inspection, when looking at the authorship-authority relationship
The Economics of Fraudulent Accounting
No full textWe argue that earnings management and fraudulent accounting have important economic consequences. In a model where the costs of earnings management are endogenous, we show that in equilibrium, low-productivity firms hire and invest too much in order to pool with high productivity firms. This behavior distorts the allocation of economic resources in the economy. We test the predictions of the model using firm-level data. We show that during periods of suspicious accounting, firms hire and invest excessively, while managers exercise options. When the misreporting is detected, firms shed labor and capital and productivity improves. Our firm-level results hold both before and after the market crash of 2000. In the aggregate, our model provides a novel explanation for periods of jobless and investment-less growth. The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected]., Oxford University Press.
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