Functional near infrared spectroscopy study of language, joint attention and motor skills

Near infrared spectroscopy (NIRS) is an emerging non-invasive optical neuro imaging technique that monitors the hemodynamic response to brain activation with ms-scale temporal resolution and sub-cm spatial resolution. The overall goal of my dissertation was to develop and apply NIRS towards investigation of neurological response to language, joint attention and planning and execution of motor skills in healthy adults. Language studies were performed to investigate the hemodynamic response, synchrony and dominance feature of the frontal and fronto-temporal cortex of healthy adults in response to language reception and expression. The mathematical model developed based on granger causality explicated the directional flow of information during the processing of language stimuli by the fronto-temporal cortex. Joint attention and planning/ execution of motor skill studies were performed to investigate the hemodynamic response, synchrony and dominance feature of the frontal cortex of healthy adults and in children (5-8 years old) with autism (for joint attention studies) and individuals with cerebral palsy (for planning/execution of motor skills studies). The joint attention studies on healthy adults showed differences in activation as well as intensity and phase dependent connectivity in the frontal cortex during joint attention in comparison to rest. The joint attention studies on typically developing children showed differences in frontal cortical activation in comparison to that in children with autism. The planning and execution of motor skills studies on healthy adults and individuals with cerebral palsy (CP) showed difference in the frontal cortical dominance, that is, bilateral and ipsilateral dominance, respectively. The planning and execution of motor skills studies also demonstrated the plastic and learning behavior of brain wherein correlation was found between the relative change in total hemoglobin in the frontal cortex and the kinematics of the activity performed by the participants. Thus, during my dissertation the NIRS neuroimaging technique was successfully implemented to investigate the neurological response of language, joint attention and planning and execution of motor skills in healthy adults as well as preliminarily on children with autism and individuals with cerebral palsy. These NIRS studies have long-term potential for the design of early stage interventions in children with autism and customized rehabilitation in individuals with cerebral palsy.

Gesture Recognition Using Neural Networks Based on HW/SW Cosimulation Platform

Hardware/software (HW/SW) cosimulation integrates software simulation and hardware simulation simultaneously. Usually, HW/SW co-simulation platform is used to ease debugging and verification for very large-scale integration (VLSI) design. To accelerate the computation of the gesture recognition technique, an HW/SW implementation using field programmable gate array (FPGA) technology is presented in this paper. The major contributions of this work are: (1) a novel design of memory controller in the Verilog Hardware Description Language (Verilog HDL) to reduce memory consumption and load on the processor. (2) The testing part of the neural network algorithm is being hardwired to improve the speed and performance. The American Sign Language gesture recognition is chosen to verify the performance of the approach. Several experiments were carried out on four databases of the gestures (alphabet signs A to Z). (3) The major benefit of this design is that it takes only few milliseconds to recognize the hand gesture which makes it computationally more efficient.

The effects of trained teachers' integration of dialogic reading discourse on Hispanic English Language Learners' literacy skills in kindergarten

This quasi-experimental Analysis of Covariance (ANCOVA) study explored whether the vocabulary and reading comprehension mean scores of Hispanic Kindergarten ELs whose teachers were trained to utilize Dialogic Reading (DR) discourse were higher than the mean scores of Hispanic ELs in kindergarten whose teachers were not trained to utilize DR discourse strategies. Sixty-three self-identified Hispanic, English Language Kindergarten students and four teachers participated in the study. The teachers were randomly assigned to either the experimental group (DR trained) or control group by drawing names from a hat. Student assignment to experimental versus comparison group was based on the teacher's assignment to either the experimental or comparison group. Thirty-one were assigned to the control group and 32 to the experimental group. The teachers were instructed to read the story to a group of six students (maximum) at a time, utilizing the DR discourse strategies they had been trained to implement. Subjects were read a story each week during the 8-week duration of the study. Teachers in the experimental group collaboratively selected 10 words each week from the Read Together Talk Together (RTTT) instructional stories that were utilized for vocabulary instruction. A test of homogeneity was conducted to evaluate whether the variance among the dependent variables was the same across the groups. An Analyses of Covariance (ANCOVA) was applied to analyze students' vocabulary and comprehension mean scores in the experimental group and the comparison group. The results of the study demonstrated a significant increase in the vocabulary and reading comprehension mean scores for the students whose teachers had been trained in DR discourse strategies. When comparing the two groups, the results revealed a statistically significant difference (p < 0.05). In conclusion, this study was conducted to explore how DR discourse may be an effective technique to teach literacy skills. The findings of this study showed that vocabulary knowledge and reading comprehension of Hispanic ELs were positively affected by the teachers' inclusion of dialogue during storybook reading. Its outcomes accentuated the need for teachers to provide assistance to ELs as they develop vocabulary knowledge and reading comprehension skills.

Network construction and graph theoretical analysis of functional language networks in pediatric epilepsy

This dissertation introduces a new approach for assessing the effects of pediatric epilepsy on the language connectome. Two novel data-driven network construction approaches are presented. These methods rely on connecting different brain regions using either extent or intensity of language related activations as identified by independent component analysis of fMRI data. An auditory description decision task (ADDT) paradigm was used to activate the language network for 29 patients and 30 controls recruited from three major pediatric hospitals. Empirical evaluations illustrated that pediatric epilepsy can cause, or is associated with, a network efficiency reduction. Patients showed a propensity to inefficiently employ the whole brain network to perform the ADDT language task; on the contrary, controls seemed to efficiently use smaller segregated network components to achieve the same task. To explain the causes of the decreased efficiency, graph theoretical analysis was carried out. The analysis revealed no substantial global network feature differences between the patient and control groups. It also showed that for both subject groups the language network exhibited small-world characteristics; however, the patient's extent of activation network showed a tendency towards more random networks. It was also shown that the intensity of activation network displayed ipsilateral hub reorganization on the local level. The left hemispheric hubs displayed greater centrality values for patients, whereas the right hemispheric hubs displayed greater centrality values for controls. This hub hemispheric disparity was not correlated with a right atypical language laterality found in six patients. Finally it was shown that a multi-level unsupervised clustering scheme based on self-organizing maps, a type of artificial neural network, and k-means was able to fairly and blindly separate the subjects into their respective patient or control groups. The clustering was initiated using the local nodal centrality measurements only. Compared to the extent of activation network, the intensity of activation network clustering demonstrated better precision. This outcome supports the assertion that the local centrality differences presented by the intensity of activation network can be associated with focal epilepsy.^

Foreign Language Education in Colombia: A Qualitative Study of Escuela Nueva

Since 2004 the Colombian Ministry of Education has been implementing the Programa Nacional de Bilingüismo (PNB) with the goal of having bilingual high school graduates in English and Spanish by 2019. However, implementation of the PNB has been criticized by English Language Teaching (ELT) specialists in the country who say, among other things, that the PNB introduced a discourse associated exclusively with bilingualism in English and Spanish. This study analyzed interviews with 15 participants of a public school of the Colombian Escuela Nueva, a successful model of community-based education that has begun a process of internationalization, regarding the participants’ perceptions of foreign language education and the policies of the PNB. Six students, five teachers, and four administrators were each interviewed twice using semi-structured interviews. To offer a critique of the PNB, this study tried to determine to what extent the school implemented the elements of Responsible ELT, a model developed by the researcher incorporating the concepts of hegemony of English, critical language-policy research, and resistance in ELT. Findings included the following: (a) students and teachers saw English as the universal language whereas most administrators saw English imposed due to political and economic reasons; (b) some teachers misinterpreted the 1994 General Law of Education mandating the teaching of a foreign language as a law mandating English; and (c) some teachers and administrators saw the PNB’s adoption of competence standards based on the Common European Framework of Reference for languages as beneficial whereas others saw it as arbitrary. Conclusions derived from this study of this Escuela Nueva school were: (a) most participants found the goal of the PNB unrealistic; (b) most teachers and administrators saw the policies of the PNB as top-down policies without assessment or continuity; and (c) teachers and administrators mentioned a disarticulation between elementary and high school ELT policies that may be discouraging students in public schools from learning English. Thus, this study suggests that the policies of the PNB may be contributing to English becoming a gatekeeper for higher education and employment thereby becoming a tool for sustaining inequality in Colombia.

A realtime internet based quality control application for hurricane surface wind observations

This thesis chronicles the design and implementation of a Intemet/Intranet and database based application for the quality control of hurricane surface wind observations. A quality control session consists of selecting desired observation types to be viewed and determining a storm track based time window for viewing the data. All observations of the selected types are then plotted in a storm relative view for the chosen time window and geography is positioned for the storm-center time about which an objective analysis can be performed. Users then make decisions about data validity through visual nearestneighbor comparison and inspection. The project employed an Object Oriented iterative development method from beginning to end and its implementation primarily features the Java programming language.

A software tool that generates symbolic model verifier (SMV) input language from a predicate transition net

The purpose of this research was to apply model checking by using a symbolic model checker on Predicate Transition Nets (PrT Nets). A PrT Net is a formal model of information flow which allows system properties to be modeled and analyzed. The aim of this thesis was to use the modeling and analysis power of PrT nets to provide a mechanism for the system model to be verified. Symbolic Model Verifier (SMV) was the model checker chosen in this thesis, and in order to verify the PrT net model of a system, it was translated to SMV input language. A software tool was implemented which translates the PrT Net into SMV language, hence enabling the process of model checking. The system includes two parts: the PrT net editor where the representation of a system can be edited, and the translator which converts the PrT net into an SMV program.

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

Principal Component Analysis and Assessment of Language Network Activation Patterns in Pediatric Epilepsy

This dissertation establishes a novel data-driven method to identify language network activation patterns in pediatric epilepsy through the use of the Principal Component Analysis (PCA) on functional magnetic resonance imaging (fMRI). A total of 122 subjects’ data sets from five different hospitals were included in the study through a web-based repository site designed here at FIU. Research was conducted to evaluate different classification and clustering techniques in identifying hidden activation patterns and their associations with meaningful clinical variables. The results were assessed through agreement analysis with the conventional methods of lateralization index (LI) and visual rating. What is unique in this approach is the new mechanism designed for projecting language network patterns in the PCA-based decisional space. Synthetic activation maps were randomly generated from real data sets to uniquely establish nonlinear decision functions (NDF) which are then used to classify any new fMRI activation map into typical or atypical. The best nonlinear classifier was obtained on a 4D space with a complexity (nonlinearity) degree of 7. Based on the significant association of language dominance and intensities with the top eigenvectors of the PCA decisional space, a new algorithm was deployed to delineate primary cluster members without intensity normalization. In this case, three distinct activations patterns (groups) were identified (averaged kappa with rating 0.65, with LI 0.76) and were characterized by the regions of: 1) the left inferior frontal Gyrus (IFG) and left superior temporal gyrus (STG), considered typical for the language task; 2) the IFG, left mesial frontal lobe, right cerebellum regions, representing a variant left dominant pattern by higher activation; and 3) the right homologues of the first pattern in Broca's and Wernicke's language areas. Interestingly, group 2 was found to reflect a different language compensation mechanism than reorganization. Its high intensity activation suggests a possible remote effect on the right hemisphere focus on traditionally left-lateralized functions. In retrospect, this data-driven method provides new insights into mechanisms for brain compensation/reorganization and neural plasticity in pediatric epilepsy.

Entering an academic discourse community: A case study of the coping strategies of eleven english as a second language students

This case study follows eleven non-English speaking students as they adapt to community college, content courses. The three classes examined are required freshman classes--Humanities, Social Environment, and Individual in Transition. In order to cope with the demands of these classes, students must penetrate the academic discourse community and have effective relationships with their instructors and their peers. The results of the study are based on interviews with eleven non-native speaking (NNS) students and their instructors and on an analysis of student writing assignments, course syllabi, and exams. Three general areas are examined: (a) students' first-language (L1) education, (b) the requirements of their content classes, and (c) the affective factors which influence their adaptation process. The case of these students reveals that: 1. Students draw on their L1 education, especially in terms of content, as they cope with the demands of these content classes. 2. In some areas L1 educational experiences interfere with students' ability to adapt. 3. The content classes require students to have well developed reading, writing, oral, and aural skills. 4. Students must use higher level cognitive skills to be successful in content classes. 5. Affective factors play a role in students' success in content classes. The discussion section includes possible implications of this data for college level English as a Second Language courses.

Análise de conceito do diagnóstico de enfermagem autocontrole ineficaz da saúde em pacientes submetidos à hemodiálise

The concept analysis process carefully examines the description and uses of a word or term, enabling the standardization of language, in addition to providing representation to the profession, and facilitate the work of taxonomies. The aim of the study was to analyze the concept of nursing diagnosis ineffective self-health in patients undergoing hemodialysis. Study concept analysis, based on Walker and Avant model and operationalized through integrative literature review. The databases searched were: SCOPUS, CINAHL, PUBMED, LILACS and COCHRANE, with descriptors: Selfmanagement, Adherence and Hemodialysis. The inclusion criteria were: articles published in the last five years, complete articles are available free in selected databases; articles available in Portuguese, English or Spanish; and articles that address the self-concept of health, the antecedents and the consequent. And Exclusion: editorials, letters to the editor, theses and dissertations. The survey of the articles occurred in the months from January to March 2014. The initial sample of 16785 articles, with 11748 in PUBMED, 4767 in Scopus, 174 in CINAHL, the Cochrane 70 and 26 in LILACS. After applying the criteria, 76 articles were selected, 19 in CINAHL, 18 in PUBMED, 30 in Scopus, and 9 in LILACS. In analyzing the data, given that the concept was sought in the literature was self-health, was held interpretation to ineffective self-health diagnosis through the transposition in the denial of the attributes, antecedents and consequences identified. It is noteworthy that the terms identified in the literature as defining characteristics and related factors of the diagnosis under study were added to the survey, not even the transposition into opposite term is possible. The results show that the concept developed for the inefficient self-health diagnosis was: the patient's inability to control habits and achieve the negotiated with professionals therapeutic targets, resulting in health complications. 33 antecedents relating to social, psychological and therapeutic aspects and 16 consequential, involving physiological, social, psychological and therapeutic aspects were identified. Thus, it is concluded that the ineffective self-health concept is broad and involves individual patient factors and the therapeutic relationship between patient and professionals. It is believed that the study contributed to the improvement of diagnosis in renal clientele, besides being an important base for the growth of the scientific body of nursing, subsidizing the development of own technology area

Active suspension development based on energy analysis

This research focuses on developing active suspension optimal controllers for two linear and non-linear half-car models. A detailed comparison between quarter-car and half-car active suspension approaches is provided for improving two important scenarios in vehicle dynamics, i.e. ride quality and road holding. Having used a half-car vehicle model, heave and pitch motion are analyzed for those scenarios, with cargo mass as a variable. The governing equations of the system are analysed in a multi-energy domain package, i.e., 20-Sim. System equations are presented in the bond-graph language to facilitate calculation of energy usage. The results present optimum set of gains for both ride quality and road holding scenarios are the gains which has derived when maximum allowable cargo mass is considered for the vehicle. The energy implications of substituting passive suspension units with active ones are studied by considering not only the energy used by the actuator, but also the reduction in energy lost through the passive damper. Energy analysis showed less energy was dissipated in shock absorbers when either quarter-car or half-car controllers were used instead of passive suspension. It was seen that more energy could be saved by using half-car active controllers than the quarter-car ones. Results also proved that using active suspension units, whether quarter-car or half-car based, under those realistic limitations is energy-efficient and suggested.

Wam based space efficient Prolog implementation in Lisp

This thesis proposes the implementation of a space efficient Prolog implementation based on the work of David H. D. Warren and Hassan Aït-Kaci. The Common Lisp is the framework used to the construction of the Prolog system, it was chosen both to provide a space efficient environment and a rich programming language in the sense that it supply the user with abstractions and new ways of thinking. The resulting system is a new syntax to the initial language that runs on top of the SBCL Common Lisp implementation and can abstract away or exploit the underlying system.

Further evidence for a parent-of-origin effect at the NOP9 locus on language-related phenotypes

Background - Specific language impairment (SLI) is a common neurodevelopmental disorder, observed in 5–10 % of children. Family and twin studies suggest a strong genetic component, but relatively few candidate genes have been reported to date. A recent genome-wide association study (GWAS) described the first statistically significant association specifically for a SLI cohort between a missense variant (rs4280164) in the NOP9 gene and language-related phenotypes under a parent-of-origin model. Replications of these findings are particularly challenging because the availability of parental DNA is required. Methods - We used two independent family-based cohorts characterised with reading- and language-related traits: a longitudinal cohort (n = 106 informative families) including children with language and reading difficulties and a nuclear family cohort (n = 264 families) selected for dyslexia. Results - We observed association with language-related measures when modelling for parent-of-origin effects at the NOP9 locus in both cohorts: minimum P = 0.001 for phonological awareness with a paternal effect in the first cohort and minimum P = 0.0004 for irregular word reading with a maternal effect in the second cohort. Allelic and parental trends were not consistent when compared to the original study. Conclusions - A parent-of-origin effect at this locus was detected in both cohorts, albeit with different trends. These findings contribute in interpreting the original GWAS report and support further investigations of the NOP9 locus and its role in language-related traits. A systematic evaluation of parent-of-origin effects in genetic association studies has the potential to reveal novel mechanisms underlying complex traits.

Relational work in synchronous text-based CMC of virtual teams

Based on close examinations of instant message (IM) interactions, this chapter argues that an interactional sociolinguistic approach to computer-mediated language use could provide explanations for phenomena that previously could not be accounted for in computer-mediated discourse analysis (CMDA). Drawing on the theoretical framework of relational work (Locher, 2006), the analysis focuses on non-task oriented talk and its function in forming and establishing communication norms in the team, as well as micro-level phenomena, such as hesitation, backchannel signals and emoticons. The conclusions of this preliminary research suggest that the linguistic strategies used for substituting audio-visual signals are strategically used in discursive functions and have an important role in relational work