The purpose of this research was to examine children's unmanipulated self-reports of their internalized representation of numbers and the relationship of the spatio-organizational patterns that are represented by the children's drawings to children's ability to solve basic addition problems. Also of interest were possible changes that occurred in children's spatio-organizational patterns as a result of age, mathematics achievement or gender. It was hypothesized that children whose drawings demonstrated more structured spatio-organizational patterns would achieve a higher number of correct answers on a timed test of basic addition problems. It was also hypothesized that the structure of the spatio-organizational patterns that children drew would be influenced by age, gender and mathematics achievement. The results of this exploratory study of children’s unmanipulated internalized constructs of number provided some interesting results. The children were asked to image specific numbers of dots for numerals from 4 through 13 and then to draw a representation of their images. The representations were categorized according to the structure of spatio-organizational patterns. The analyses revealed that the patterns had more structure for older children. Multiple regression analyses also indicated that the correctness of the cardinality of the number of dots imaged was the most frequently occurring variable that had a significant effect on the Imagery Scores. Less than five of more than 450 students expressed any difficulty with the imagery task and then only as it related to one of the ten numerals they were asked to image. The students were asked to image at the foundational level of imagery--reproductive imagery (Piaget & Inhelder, 1971). Because the research task developed for the students did not involve anticipatory images, those requiring transformations or movement, these imaging tasks were not influenced by the children's IQ or mathematics achievement. According to Piaget and Inhelder, children's ability to use anticipatory images indicates that children are developing an operational understanding and use of imagery. The children in this study were not asked to do anticipatory imaging. This may account for the negative relationship of the Imagery Scores to the fifth-grade students’ math percentile scores and the positive relationship between Imagery scores and mathematics percentile scores for the primary level students. The imagery tasks requested of the students were not of sufficient difficulty to relate to any mathematical operations or logio-mathematical thinking for older children. The ability of children to produce reproductive images which have varying degrees of spatio-organizational patterns was demonstrated by this study. Future studies need to address the higher level of anticipatory images. If students were asked to image a specific number of dots and then to image adding another quantity of dots to the original image, would the spatio-organizational patterns used by children in this transformation process change or transform the image? Are there specific spatio-organizational patterns that more easily allow children to develop anticipatory images that use mathematical operations? Are there children who have developed static reproductive images, and as a result, have created internalized constructs that inhibit their future understanding and development of higher level mathematical concepts? / Ed. D.

INTRODUCTION: (Study A) Trauma-Related Nightmares (TRNs) are a core feature of Post- Traumatic Stress Disorder (PTSD). We explored linguistic and somatic-experience differences between self-reports of trauma and those of nightmares related to the trauma. (Study B) Neurotic personality features are associated with many psychological disorders, including PTSD. Based on this relationship, we explored whether neuroticism predicts the rate of nightmares and bad dreams as well as the number of replicative nightmares (TRNs similar or exactly like their traumatic experience), above and beyond PTSD severity. METHODS: (Study A) Seventeen participants with varying severity of PTSD symptoms reporting recurring TRNs (mean age 27.47 years, SD = 10.33, 14 females) recalled a traumatic experience and nightmares related to that trauma. Trauma reports were written by participants, while nightmare reports were transcribed from audio recordings made as they were recalled following nightmares. Following both types of reports, participants indicated co-occurring somatic experiences by choosing from a list of 51 selections. Choices were later grouped into cardiovascular, respiratory, interoceptive, and tension categories. Linguistic content was measured using the Linguistic Inquiry and Word Count (LIWC) program and positive emotion, negative emotion, and somatosensory category words were totaled. Since trauma reports had significantly higher word counts than TRNs (p=0.0495), LIWC categories were normalized for total word count. Total and symptom- cluster severities of PTSD were assessed using the PTSD Checklist for DSM-5 (PCL-5). Wilcoxon Signed-Rank Tests and Spearman Correlations were used for statistical analysis, as Shapiro-Wilk tests showed that data were non-normally distributed. (Study B) 126 participants who had experienced a traumatic event within the past two years were recruited (mean age 24.13 years, SD = 4.994, 69% female) and, for an average of 14.89 nights, completed a dream questionnaire on which occurrence of nightmares (causing awakening) and bad dreams were reported and ranked based on their similarity to their recent traumatic experience. PTSD symptoms were assessed using the PCL-5 and personality features such as neuroticism were measured using the NEO Personality Inventory Revised (NEO PI-R), a questionnaire based on the Five Factor Model of personality. The combined number of nightmares and bad dreams was divided by the total number of nights reported and expressed as a rate, while a replicative nightmare count was generated by summing “similar to traumatic experience” and “exactly like traumatic experience” ratings. Hierarchical regressions were used to determine whether neuroticism predicted the rate of nightmare and bad dreams as well as the number of replicative nightmares above and beyond PTSD severity. Pearson correlations were used to check for relationships between variables and possible collinearity. RESULTS: (Study A) There were significantly more somatic experiences of interoception (p=0.0084) and tension (p=0.024) in trauma vs nightmare reports. The intrusion cluster of the PCL-5 was associated with cardiovascular (rho=0.592, p=0.0156) and respiratory (rho=0.619, p=0.0109) experiences in trauma reports, and interoception (rho=0.718, p=0.0033) and tension (rho=0.556, p=0.0224) experiences in nightmare reports. (Study B) In two hierarchical regression models, neuroticism predicted neither nightmare and bad dream rate nor number of replicative nightmares over and above total or PTSD symptom cluster severity (p=0.596; p=0.886). Collinearity checks did demonstrate a moderate positive relationship between these variables (r=0.317, p<0.001). CONCLUSION: (Study A) More somatic experiences of interoception and tension were recalled from traumas than TRNs. Because the brain is deafferented from sensory input during dreaming, we expected, but did not find, state differences in other somatic experiences. Word categories in narratives also did not show state differences. Only the intrusion symptoms of PTSD predicted bodily sensations in trauma as well as TRN reports. (Study B) We found that neuroticism did not predict either nightmare and bad dream rate or the number of replicative nightmares above and beyond PTSD severity, when taking demographic factors into account. The positive correlation between PTSD and neuroticism could explain this lack of significance. SUPPORT: R21MH128619

Postoperative spinal patients were randomly assigned to one of three treatment conditions and were taught five adaptive movements by occupational therapists. The Control group received routine hospital occupational therapy; the Placebo group participated in an imagery relaxation task unrelated to the mental practice task of the Imagery group, which was shown line drawings of the adaptive movements under study, provided movement instructions, and asked to mentally practice each movement in a familiar, daily living situation. Thirty-five patients returned for follow-up, and a measure of outcome was obtained through the use of a quantified movement assessment instrument. Subjective ratings for anxiety, rumination, and imagery were made by the occupational therapists. An occupational motoric-symbolic rating scale was developed to assess the symbolic portion of the patient's job experience. Statistical procedures including chi square, analysis of variance, and Pearson correlation were performed. Results were in the predicted direction although statistical significance was not achieved. Possible explanations for the obtained results were discussed.

The present investigation attempted to determine whether imagery combined with relaxation (VMBR) facmlitated karate performance more effectively than either imagery or relaxation alone. Each subject (N=30) was randomly assigned to either a VMBR, relaxation, imagery or placebo control condition. Trait anxiety tests were administered at the beginning and the end of the six week test period. Performance tests were administered at the final class period along with precompetitive state anxiety. Trait anxiety results indicated a reduction in trait anxiety for all groups. State anxiety results indicated that the VIYBR and relaxation groups exhibited less state anxiety than the imagery and control groups. Performance results produced a main effect only for sparring with the VMBR group exhibiting better performance than all other groups.

La capacité actuelle d’accéder à des détecteurs très performants et de faible coût amène la communauté des concepteurs de systèmes optiques à un changement de paradigme. Plutôt que de réaliser des caméras généralistes, aptes à réaliser un grand nombre de missions d’observation différentes, il est maintenant de plus en plus courant de développer des systèmes imageurs adaptés à une seule mission et/ou à une seule classe d’objets. Prendre en compte ces connaissances a priori sur la scène et la mission, au moment de la conception, permet d’envisager des systèmes plus simples, mais aussi dotés de nouvelles compétences. L'objectif de la thèse est d'explorer les potentialités des tableaux non diffractants pour la conception de systèmes imageurs spécialisés. Pour cette étude nous considérons l'environnement des drones aéroportés de faible capacité d'emport pour lesquels les systèmes imageurs embarqués doivent être simples et robustes. Nous considérons de plus que la mission du système imageur est de détecter les obstacles. Pour cela, il doit délivrer une information 3D sur la scène observée. Dans un premier temps, j'ai analysé les propriétés d'imagerie du système imageur constitué d'un composant non diffractant et d'un détecteur matriciel. L'analyse comparative de deux composants, l'axicon et le tableau non diffractant, m'a permis de montrer que c'est le second composant qui est le mieux adapté pour remplir ce type de mission. J'ai ensuite réalisé un système imageur de démonstration, ce qui m'a permis au final de mettre en évidence sa capacité à faire de l'imagerie 3D. Cette étude a montré que les tableaux non diffractants ont un très fort potentiel pour réaliser un système imageur simple, robuste et dédié à l'imagerie 3D. Ce travail doit être poursuivi en partenariat avec des industriels pour appliquer la démarche de conception à une mission précise et transformer ce travail théorique en un système industrialisable. / Currently, detectors with high performances and a low cost are available and lead the community of optical designers to a new paradigm. Instead of designing generalist cameras, suitable for fulfilling a high number of different observation missions, it is now more and more common to develop imaging systems adapted to a unique mission and/or a unique object class. Taking this a priori knowledge on the observed scene or on the mission into account, at the beginning of the design process, allows us to consider simpler imaging systems with new properties. The aim of this thesis is to investigate the possibilities of nondiffracting array for the design of specialized imaging systems. For this study we consider the environment of unmanned aerial vehicles with a small payload capacity, for which embedded imaging systems must be simple and robust. We consider in addition that the mission of the imaging system is to detect obstacles. To do this, it must provide a 3D information on the observed scene. At first, I have analysed the properties of the imaging system composed by a nondiffracting optical device and a focal plane array. The comparison between two devices, axicon and nondiffracting arrays, allowed me to show that the second one is best suited for achieving this kind of mission. Then, I have made a practical implementation of such an imaging system. Finally, I have used it to demonstrate the 3D imaging property. This study has demonstrated the potential of nondiffracting array to design a simple and robust imaging system dedicated to 3D imaging. This work must be continued in partnership with the industry to apply the co-design process to a more precise mission, transforming this way this theoretical work into an industrial prototype.

Research has suggested that representational and perceptual systems draw upon some of the same processing structures, and evidence also has accumulated to suggest that representational formats are malleable by instructions. Very little research, however, has considered how nonspeech sounds are internally represented, and the use of audio in systems will often proceed under the assumption that separation of information by modality is sufficient for eliminating information processing conflicts. Three studies examined the representation of nonspeech sounds in working memory. In Experiment 1, a mental scanning paradigm suggested that nonspeech sounds can be flexibly represented in working memory, but also that a universal per-item scanning cost persisted across encoding strategies. Experiment 2 modified the sentence-picture verification task to include nonspeech sounds (i.e., a sound-sentence-picture verification task) and found evidence generally supporting three distinct formats of representation as well as a lingering effect of auditory stimuli for verification times across representational formats. Experiment 3 manipulated three formats of internal representation (verbal, visuospatial imagery, and auditory imagery) for a point estimation sonification task in the presence of three types of interference tasks (verbal, visuospatial, and auditory) in an effort to induce selective processing code (i.e., domain-specific working memory) interference. Results showed no selective interference but instead suggested a general performance decline (i.e., a general representational resource) for the sonification task in the presence of an interference task, regardless of the sonification encoding strategy or the qualitative interference task demands. Results suggested a distinct role of internal representations for nonspeech sounds with respect to cognitive theory. The predictions of the processing codes dimension of the multiple resources construct were not confirmed; possible explanations are explored. The practical implications for the use of nonspeech sounds in applications include a possible response time advantage when an external stimulus and the format of internal representation match.

This research presents a co-developing service innovation imagery system that considers the service innovation imagery can be designed and created with their customers and appropriate collaborators in co-creation network. Default imagery reasoned by analyzing SMEs information, interaction pattern and cultural behavior so as to represent current status quo of the service to co-develop toward service innovation. In addition, we use metaphor statement as the representation of different kinds of user value (i.e., emotional, social-cultural environmental value) so as to build a knowledge based imagery bank for the co-developing process. The mechanism of the open group support system facilitates the interactions between different interpreters that derive and imply a set of value, such as emotional, social-cultural-environmental dimensional consumption values for the SME’s customers. In this research, our main goal is to propose an IT-based systematic approach for SMEs to co-developing their service innovation imagery with other actors and interpreters. The co-developing journey would facilitate SMEs to derive the service innovation imagery for service innovation.

This research study was designed to investigate the relationships of imagery, self-concept, anxiety, stress, subjective stress and seriousness of illness and to determine the potential of certain cognitive mediating variables, especially imagery and an interaction between self-concept and imagery, to significantly increase the efficiency of stress as a predictor of seriousness of illness. The purposes of this study were: (1) to determine the efficiency of stress as a predictor of disease, (2) to determine if cognitive mediating variables will significantly increase the predictive efficiency between stress and disease, (3) to investigate selected correlations among the variables, (4) to provide a research base for current treatment procedures using imagery treating various illnesses.

Mental imagery is a common theme in research that clarifies how musical thought relates to musical performance. Unfortunately, minimal information exists regarding mental imagery and singers. The purpose of this study was to probe the role, if any, mental imagery plays in the conceptualization of pitch and vowel. By interviewing singers at differing levels of expertise, basic information was obtained about the mental processes used by singers. Through evaluations of the singers' mental processes, it was concluded that 95% of the singers in the study employed mental imagery. All singers described using kinesthetic imagery, while the majority implemented sensory and auditory imagery. Viso-spatial imagery was implemented among the more experienced singers. The majority of singers also reported: imaging pitch and vowel interactively; imaging from an internal perspective; and utilizing mental rehearsal. Less than half of the singers described using methods other than mental imagery to conceptualize pitch and vowel.

<div>Maize (Zea mays L.) is one of the most important crops worldwide for its critical importance in agriculture, economic stability, and food security. Many agricultural research and commercial breeding programs target the efficiency of this crop, seeking to increase productivity with fewer inputs and becoming more environmentally sustainable and resistant to impacts of climate and other external factors. For the purpose of analyzing the performance of the new varieties and management strategies, accurate and constant monitoring is crucial and yet, still performed mostly manually, becoming labor-intensive, time-consuming, and costly.<br></div><div>Flowering is one of the most important stages for maize, and many other grain crops, requiring close attention during this period. Any physical or biological negative impact in the tassel, as a reproductive organ, can have significant consequences to the overall grain development, resulting in production losses. Remote sensing observation technologies are currently seeking to close the gap in phenotyping in monitoring the development of the plants’ geometric structure and chemistry-related responses over the growth and reproductive cycle.</div><div>For this thesis, remotely sensed hyperspectral imagery were collected, processed and, explored to detect tassels in maize crops. The data were acquired in both a controlled facility using an imaging conveyor, and from the fields using a PhenoRover (wheel-based platform) and a low altitude UAV. Two pixel-based classification experiments were performed on the original hyperspectral imagery (HSI) using Spectral Angle Mapper (SAM) and Support Vector Machine (SVM) supervised classifiers. Feature reduction methods, including Principal Component Analysis (PCA), Locally Linear Embedding (LLE), and Isometric Feature Mapping (Isomap) were also investigated, both to identify features for annotating the reference data and in conjunction with classification.</div><div>Collecting the data from different systems allowed the identification of strengths and weaknesses for each system and the associated tradeoffs. The controlled facility allowed stable lighting and very high spatial and spectral resolution, although it lacks on supplying information about the plants’ interactions in field conditions. Contrarily, the in-field data from the PhenoRover </div><div>and the UAV exposed the complications related to the plant’s density within the plots and the variability in the lighting conditions due to long times of data collection required. The experiments implemented in this study successfully classified pixels as tassels for all images, performing better with higher spatial resolution and in the controlled environment. For the SAM experiment, nonlinear feature extraction via Isomap was necessary to achieve good results, although at a significant computational expense. Dimension reduction did not improve results for the SVM classifier.</div>