The Effectiveness of Explicit Individualized Phonemic Awareness Instruction By a Speech-Language Pathologist to Preschool Children With Phonological Speech Disorders

This study investigated the effects of an explicit individualized phonemic awareness intervention administered by a speech-language pathologist to 4 prekindergarten children with phonological speech sound disorders. Research has demonstrated that children with moderate-severe expressive phonological disorders are at-risk for poor literacy development because they often concurrently exhibit weaknesses in the development of phonological awareness skills (Rvachew, Ohberg, Grawburg, & Heyding, 2003). The research design chosen for this study was a single subject multiple probe design across subjects. After stable baseline measures, the participants received explicit instruction in each of the three phases separately and sequentially. Dependent measures included same-day tests for Phase I (Phoneme Identity), Phase II (Phoneme Blending), and Phase III (Phoneme Segmentation), and generalization and maintenance tests for all three phases. All 4 participants made substantial progress in all three phases. These skills were maintained during weekly and biweekly maintenance measures. Generalization measures indicated that the participants demonstrated some increases in their mean total number of correct responses in Phase II and Phase III baseline while the participants were in Phase I intervention, and more substantial increases in Phase III baseline while the participants were in Phase II intervention. Increased generalization from Phases II to III could likely be explained due to the response similarities in those two skills (Cooper, Heron, & Heward, 2007). Based upon the findings of this study, speech-language pathologists should evaluate phonological awareness in the children in their caseloads prior to kindergarten entry, and should allocate time during speech therapy to enhance phonological awareness and letter knowledge to support the development of both skills concurrently. Also, classroom teachers should collaborate with speech-language pathologists to identify at-risk students in their classrooms and successfully implement evidence-based phonemic awareness instruction. Future research should repeat this study including larger groups of children, children with combined speech and language delays, children of different ages, and ESOL students

The phonological analysis of bilingual Creole/English children living in South Florida

The purpose of this study was to gather normative data regarding the phonological system of bilingual Creole-English children ages three and five and to compare performance to norms for English speaking children. The forty participants lived in Miami and represented low socio-economic groups. Participants were assessed using the Goldman-Fristoe Test of Articulation-2 and a Haitian Creole Picture Naming Assessment. The results indicated that the percentage of correct phonemes in Creole (M=91.6) were not significantly different when compared to the correct production of the same phonemes in English (M=92.8). Further analysis revealed that the accuracy of all phonemes was higher for the five-year (M= 90.8) as compared to the three-year-olds (M= 85) in Creole. In English, the five-year-olds performed better than the three-year-olds participants. These findings revealed patterns of phonological development in bilingual Creole/English Children similar to patterns reported in other bilingual children. This information is essential in the evaluation and treatment of this population.

Noradrenergic modulatoins of odor learning and odor representation in the rat

How experience alters neuronal ensemble dynamics and how locus coeruleus-mediated norepinephrine release facilitates memory formation in the brain are the topics of this thesis. Here we employed a visualization technique, cellular compartment analysis of temporal activity by fluorescence in situ hybridization (catFISH), to assess activation patterns of neuronal ensembles in the olfactory bulb (OB) and anterior piriform cortex (aPC) to repeated odor inputs. Two associative learning models were used, early odor preference learning in rat pups and adult rat go-no-go odor discrimination learning. With catFISH of an immediate early gene, Arc, we showed that odor representation in the OB and aPC was sparse (~5-10%) and widely distributed. Odor associative learning enhanced the stability of the rewarded odor representation in the OB and aPC. The stable component, indexed by the overlap between the two ensembles activated by the rewarded odor at two time points, increased from ~25% to ~50% (p = 0.004-1.43E⁻4; Chapter 3 and 4). Adult odor discrimination learning promoted pattern separation between rewarded and unrewarded odor representations in the aPC. The overlap between rewarded and unrewarded odor representations reduced from ~25% to ~14% (p = 2.28E⁻⁵). However, learning an odor mixture as a rewarded odor increased the overlap of the component odor representations in the aPC from ~23% to ~44% (p = 0.010; Chapter 4). Blocking both α- and β-adrenoreceptors in the aPC prevented highly similar odor discrimination learning in adult rats, and reduced OB mitral and granule ensemble stability to the rewarded odor. Similar treatment in the OB only slowed odor discrimination learning. However, OB adrenoceptor blockade disrupted pattern separation and ensemble stability in the aPC when the rats demonstrated deficiency in discrimination (Chapter 5). In another project, the role of α₂-adrenoreceptors in the OB during early odor preference learning was studied. OB α2-adrenoceptor activation was necessary for odor learning in rat pups. α₂-adrenoceptor activation was additive with β-adrenoceptor mediated signalling to promote learning (Chapter 2). Together, these experiments suggest that odor representations are highly adaptive at the early stages of odor processing. The OB and aPC work in concert to support odor learning and top-down adrenergic input exerts a powerful modulation on both learning and odor representation.

Algorithms for super-resolution of images based on Sparse Representation and Manifolds

lmage super-resolution is defined as a class of techniques that enhance the spatial resolution of images. Super-resolution methods can be subdivided in single and multi image methods. This thesis focuses on developing algorithms based on mathematical theories for single image super­ resolution problems. lndeed, in arder to estimate an output image, we adopta mixed approach: i.e., we use both a dictionary of patches with sparsity constraints (typical of learning-based methods) and regularization terms (typical of reconstruction-based methods). Although the existing methods already per- form well, they do not take into account the geometry of the data to: regularize the solution, cluster data samples (samples are often clustered using algorithms with the Euclidean distance as a dissimilarity metric), learn dictionaries (they are often learned using PCA or K-SVD). Thus, state-of-the-art methods still suffer from shortcomings. In this work, we proposed three new methods to overcome these deficiencies. First, we developed SE-ASDS (a structure tensor based regularization term) in arder to improve the sharpness of edges. SE-ASDS achieves much better results than many state-of-the- art algorithms. Then, we proposed AGNN and GOC algorithms for determining a local subset of training samples from which a good local model can be computed for recon- structing a given input test sample, where we take into account the underlying geometry of the data. AGNN and GOC methods outperform spectral clustering, soft clustering, and geodesic distance based subset selection in most settings. Next, we proposed aSOB strategy which takes into account the geometry of the data and the dictionary size. The aSOB strategy outperforms both PCA and PGA methods. Finally, we combine all our methods in a unique algorithm, named G2SR. Our proposed G2SR algorithm shows better visual and quantitative results when compared to the results of state-of-the-art methods.

A critical discourse analysis on the (self) representation of Hillary R. Clinton in public discourse

El rol de la mujer dentro de la sociedad ha sido y aún es un tema de mucha controversia. Incluso en nuestra sociedad, se suscitan debates sobre si les está permitido a las mujeres ocupar ciertos ámbitos laborales que han estado siempre dominados por una fuerte presencia masculina, como es el caso del ámbito político. Además, en muchos países aún ni siquiera están reconocidos los derechos de las mujeres, y mientras que, en otras culturas, a pesar de que la ley vela por los derechos humanos sin importar la raza, la religión o el género, la realidad es que incluso en las culturas más desarrolladas existe desigualdad de género y estereotipos que afectan el desenvolvimiento de la mujer. Sin embargo, a pesar de que aun la desigualdad de género está presente en la sociedad, es innegable que la situación actual es mucho más positiva para la implicación de las mujeres incluso dentro de ámbitos de la sociedad, que décadas atrás sería impensable, como la política. En esta línea, toda esta situación ha suscitado el interés de muchos investigadores y lingüistas, que han dedicado tiempo a investigaciones sobre las relaciones entre discurso y género, y sobre la representación mediática de mujeres que tienen cierta influencia en el ámbito público, y cómo la desigualdad de género afecta su imagen pública. Si bien es cierto, durante mucho tiempo el ámbito de la política ha estado dominado por presencia masculina, ahora la situación ha cambiado. En las últimas décadas, se ha hecho evidente una gran presencia de mujeres dentro de la política, mujeres que a comparación de la situación vivida décadas atrás, ahora tienen la posibilidad de presentarse incluso como candidatas a la presidencia, como es el caso de Hillary Clinton. En este sentido muchas corrientes feministas han contribuido en gran medida a esta nueva situación. Ahora bien, en vista de toda esta situación, el presente estudio de investigación intentará dar respuesta a las siguientes preguntas. ¿Hasta qué punto los estereotipos de género están aún presentes en la sociedad? ¿La representación mediática de una figura política está realmente basada en su conducta y en su actividad discursiva, o está influida por esquemas e ideas preconcebidas de género? Teniendo en cuenta que hoy en día hay una mayor presencia femenina dentro del ámbito político, una de mis hipótesis iniciales es que la situación de los estereotipos de género ha disminuido. Además, se espera que la forma en la que Hillary Clinton se representa a sí misma como una mujer y como una política esté menos perjudicada por estos esquemas. El objetivo de este estudio es, primeramente, llevar a cabo un análisis sobre diez discursos de Hillary Clinton, desde el 15 de junio de 2015, fecha en la que Hillary Clinton lanzo su candidatura a la presidencia, hasta el 26 de abril de 2016, para a través de este análisis poder identificar como Hillary Clinton se caracteriza a sí misma en sus discursos políticos, y asimismo identificar si los esquemas convencionales sobre género afectan su auto representación. Con este objetivo, el enfoque de este estudio se va a centrar en análisis cuantitativos y cualitativos sobre la frecuencia de palabras, seguido de un análisis crítico del discurso sobre la auto representación de Hillary en sus discursos. Además, siguiendo la línea de investigación de Tannen (1996), se realizará un análisis sobre los usos de los pronombres “nosotros” y “yo”, para adquirir una mayor perspectiva sobre esta situación. Seguidamente, teniendo en cuenta que los medios de comunicación reflejan ideologías sociales, este estudio ha sido también diseñado para analizar diez artículos de noticias sobre los discursos previamente analizados de Hillary Clinton. De esta manera, se examinará si los estereotipos de género están presentes en la representación mediática de Hillary Clinton, para seguidamente analizar si la interpretación mediática de la candidata a la presidencia está realmente relacionada con los discursos analizados o, si por lo contrario están influidos por estereotipos y esquemas de género. Para cumplir con este objetivo, los datos recopilados para este corpus consisten en exactamente diez artículos que reporten sobre los discursos estudiados en el primer análisis, y la actuación de Hillary Clinton. Estos artículos fueron recogidos de cuatro de los periódicos más importantes de los Estados Unidos, que son New York Times, Wall Street Journal, Los Angeles times y The Washington Post. En este caso el análisis estará centrado en la frecuencia de palabras y en el uso de reporting verbs, siguiendo la línea de investigación de Caldas – Coulthard (1995). Se espera que el presente estudio pueda servir para mayores investigaciones sobre cuestiones de género, y de esta manera contribuir a la creación de teorías que puedan explicar mejor la situación de las mujeres dentro de la política. Para finalizar, aún queda mucho que investigar en esta disciplina, e incluso más por descubrir

Representation of Maximally Regular Textures in Human Visual Cortex

Copyright © 2016 the authors 0270-6474/16/360714-16$15.00/0. This research was supported by National Science Foundation INSPIRE Grant 1248076, which was awarded to Y.L. and A.M.N.

Pointing as an Instrumental Gesture: Gaze Representation Through Indication

Peer reviewed

Priorities for representation : Task settings and object interaction both influence object memory

Portions of this research were presented at the Experimental Psychological Society conference at the University of Kent (May, 2014).The first author is supported by a studentship provided by the University of Dundee. This study was conducted as part of the requirements for the degree of Doctor of Philosophy by the first author.

Pointing as an Instrumental Gesture: Gaze Representation Through Indication

Peer reviewed

Priorities for representation : Task settings and object interaction both influence object memory

Portions of this research were presented at the Experimental Psychological Society conference at the University of Kent (May, 2014).The first author is supported by a studentship provided by the University of Dundee. This study was conducted as part of the requirements for the degree of Doctor of Philosophy by the first author.

Role of Hydrological Process Representation on Erosion, Deposition, and Sediment Yield Estimate

Soil erosion by water is a major driven force causing land degradation. Laboratory experiments, on-site field study, and suspended sediments measurements were major fundamental approaches to study the mechanisms of soil water erosion and to quantify the erosive losses during rain events. The experimental research faces the challenge to extent the result to a wider spatial scale. Soil water erosion modeling provides possible solutions for scaling problems in erosion research, and is of principal importance to better understanding the governing processes of water erosion. However, soil water erosion models were considered to have limited value in practice. Uncertainties in hydrological simulations are among the reasons that hindering the development of water erosion model. Hydrological models gained substantial improvement recently and several water erosion models took advantages of the improvement of hydrological models. It is crucial to know the impact of changes in hydrological processes modeling on soil erosion simulation.

This dissertation work first created an erosion modeling tool (GEOtopSed) that takes advantage of the comprehensive hydrological model (GEOtop). The newly created tool was then tested and evaluated at an experimental watershed. The GEOtopSed model showed its ability to estimate multi-year soil erosion rate with varied hydrological conditions. To investigate the impact of different hydrological representations on soil erosion simulation, a 11-year simulation experiment was conducted for six models with varied configurations. The results were compared at varied temporal and spatial scales to highlight the roles of hydrological feedbacks on erosion. Models with simplified hydrological representations showed agreement with GEOtopSed model on long temporal scale (longer than annual). This result led to an investigation for erosion simulation at different rainfall regimes to check whether models with different hydrological representations have agreement on the soil water erosion responses to the changing climate. Multi-year ensemble simulations with different extreme precipitation scenarios were conducted at seven climate regions. The differences in erosion simulation results showed the influences of hydrological feedbacks which cannot be seen by purely rainfall erosivity method.

Representation and participation in child care proceedings: what about the voice of the parents?

In Ireland, the Constitution guarantees very strong rights to parents and the family, and there has been a long and unfortunate history of failures to adequately protect children at risk. As a result, there has been much discussion in recent years about the need to improve legal mechanisms designed to protect the rights of children. By comparison, little attention has been given to establishing whether the theoretically strong rights of parents translate into strongly protected rights in practice. This paper presents new empirical evidence on the manner in which child care proceedings in Ireland balance the rights and interests of children and parents, including the rates at which orders are granted, the frequency of and conditions in which legal representation is provided, and the extent to which parents are able to actively participate in proceedings. A number of systemic issues are identified that restrict the capacity of the system to emphasise parental rights and hear the voice of parents to the extent that would be expected when looking at the legal provisions in isolation.

#DressCodePM & Re-Framing The Niqab: News Sources, Hashtag Activism, and Media Representation

This thesis originates from my interest in exploring how minorities are using social media to talk back to mainstream media. This study examines whether hashtags that trend on Twitter may impact how news stories related to minorities are covered in Canadian media. The Canadian Prime Minister Stephen Harper stated the niqab was “rooted in a culture that is anti-women” on 10 March 2015. The next day #DressCodePM trended in response to the PM’s niqab remarks. Using network gatekeeping theory, this study examines the types of sources quoted in the media stories published on 10 and 11 March 2015. The study’s goal is to explore whether using tweet quotes leads to the representation of a more diverse range of news sources. The study compares the types of sources quoted in stories that covered Harper’s comments without mentioning #DressCodePM versus stories that mention #DressCodePM. This study also uses Tuen A. van Dijk’s methodology of asking “who is speaking, how often and how prominently?” in order to examine whose voices have been privileged and whose voices have been marginalized in covering the niqab in Canadian media from the 1970s and until the days following the PM’s remarks. Network gatekeeping theory is applied in this study to assess whether the gated gained more power after #DressCodePM trended. The case study’s findings indicates that Caucasian male politicians were predominantly used as news sources in covering stories related to the niqab for the past 38 years in the Globe and Mail. The sourcing pattern of favouring politicians continued in Canadian print and online media on 10 March 2015 following Harper’s niqab comments. However, ordinary Canadian women, including Muslim women, were used more often than politicians as news sources in the stories about #DressCodePM that were published on 11 March 2015. The gated media users were able to gain power and attract Canadian Media’s attention by widely spreading #DressCodePM. This study draws attention to the lack of diversity of sources used in Canadian political news stories, yet this study also shows it is possible for the gated media users to amplify their voices through hashtag activism.

Short and Long Term Representation of an Unfamiliar Tone Distribution

We report on a study conducted to extend our knowledge about the process of gaining a mental representation of music. Several studies, inspired by research on the statistical learning of language, have investigated statistical learning of sequential rules underlying tone sequences. Given that the mental representation of music correlates with distributional properties of music, we tested whether participants are able to abstract distributional information contained in tone sequences to form a mental representation. For this purpose, we created an unfamiliar music genre defined by an underlying tone distribution, to which 40 participants were exposed. Our stimuli allowed us to differentiate between sensitivity to the distributional properties contained in test stimuli and long term representation of the distributional properties of the music genre overall. Using a probe tone paradigm and a two-alternative forced choice discrimination task, we show that listeners are able to abstract distributional properties of music through mere exposure into a long term representation of music. This lends support to the idea that statistical learning is involved in the process of gaining musical knowledge.