There is considerable evidence that pollinator shifts can explain many differences in flower morphology between closely related plant species, but the extent to which pollinator shifts can explain the maintenance of among-population variation in floral traits within species is poorly known. In this thesis, I combined comparative and experimental approaches to examine the evolution of floral traits in the moth-pollinated orchid Platanthera bifolia. More specifically, I investigated (1) the relationship between flower and pollinator morphology, (2) phenotypic selection on morphology and phenology in populations in contrasting environments, (3) components of prezygotic reproductive isolation among divergent populations, and (4) the adaptive and functional significance of two correlated floral traits. A study of Scandinavian of P. bifolia populations revealed that spur length was positively correlated with proboscis length of local pollinators, which suggests that variation in spur length reflects adaptive evolution in response to geographically variable pollinator-mediated selection. A phenotypic selection study on Öland, SE Sweden, suggested that disruptive selection on spur length contributes to the maintenance of a bimodal distribution of spur length in mixed habitats, but provided very limited evidence of divergent selection on plant morphology and flowering phenology in grassland and woodland habitats. Field experiments revealed strong reproductive isolation between divergent populations on Öland, due to differences in spatial distribution, flowering phenology, and pollinators, and among-population incompatibility. The results suggest that prezygotic reproductive isolation contributes to the maintenance of population differentiation in floral traits in P. bifolia. A field manipulation experiment demonstrated that spur length but not perianth size affects pollination success and seed production. This suggests that among-population differentiation in perianth size may be the result of a genetic correlation with spur length. Taken together, the results of this thesis suggest that pollinator-mediated selection can shape the evolution of intraspecific floral variation.

Teacher-Child Interaction Therapy (TCIT), which is an adaptation of the empirically-based treatment of Parent-Child Interaction Therapy (PCIT), addresses the needs of children and teachers through increasing positive teacher-child interactions while educating teachers on effective discipline techniques. The theoretical and empirical basis for PCIT provides the foundation for the appropriate and effective application of the adaptation of this treatment model for use with teachers.<br>The efficacy of Teacher-Child Interaction Therapy (TCIT) with a clinical preschool population was evaluated through a single subject A-B design conducted across subjects. The current study examined the impact of the intervention, TCIT, on child behavior, teacher skill development and use, as well as the quality of teacher-child relationships. Results suggest that the intervention positively impacted the behavior of preschool children diagnosed with a Disruptive Behavior Disorder, as indicated by a reduction of disruptive behaviors and increase of prosocial behaviors within a therapeutic classroom setting. Additionally, teacher skill use and the quality of teacher-child relationships were evaluated following implementation of the TCIT intervention. Findings indicate that the intervention positively impacted teachers use of the positive attention skills over the course of the intervention.<br>This study, which examined the efficacy of Teacher-Child Interaction Therapy with preschool-aged children diagnosed with a Disruptive Behavior Disorder, provides initial support for the implementation of a relationship-based technique to support teachers in addressing the disruptive behaviors of children within a classroom environment. / School of Education; / School Psychology / PhD; / Dissertation;

The present study was undertaken to evaluate the effectiveness and impact of a brief teacher training program in proactive classroom management (PCM), on both teacher and student outcomes. The teacher training program was conducted in a large, inner city public school and was designed as an efficient and cost-effective approach to assisting school personnel in the prevention of off-task and disruptive student behavior. Four groups of teachers (N=16) participated in a single, 4-hour workshop that focused on didactic and performance-based training of such PCM procedures as building rapport, priming for transitions, scaffolding for success, building child tolerance to classroom stressors and teaching replacement behaviours. The program was implemented using a multiple baseline design across groups of teachers. Data were collected through classroom observations of teacher skill implementation and student behaviour (two students in each classroom who presented with behavioural challenges were observed), as well as pre and post self-report rating scale measures of teacher attributions and perceptions and student behaviour. Visual and statistical analyses of group and overall teacher data revealed significant increases in the use of reinforcement and antecedent strategies, reported use of rewards as an intervention strategy, reported levels of confidence in their ability to manage student misbehaviour, and a shift in teachers’ views of student misbehaviour as being more temporary rather than chronic. Significant decreases in teacher reactive responses and reported levels of student inattention and overactivity were also demonstrated. With respect to students, visual and statistical analyses of group and overall data revealed increases in student on-task non-disruptive behaviour and reported levels of self-reliance. Student disruptive and off-task behaviour were significantly reduced. Despite several limitations, the results of the present study demonstrate that student problem behaviour can be efficiently and effectively managed in the classroom without the use of reactive strategies.

The present study was undertaken to evaluate the effectiveness and impact of a brief teacher training program in proactive classroom management (PCM), on both teacher and student outcomes. The teacher training program was conducted in a large, inner city public school and was designed as an efficient and cost-effective approach to assisting school personnel in the prevention of off-task and disruptive student behavior. Four groups of teachers (N=16) participated in a single, 4-hour workshop that focused on didactic and performance-based training of such PCM procedures as building rapport, priming for transitions, scaffolding for success, building child tolerance to classroom stressors and teaching replacement behaviours. The program was implemented using a multiple baseline design across groups of teachers. Data were collected through classroom observations of teacher skill implementation and student behaviour (two students in each classroom who presented with behavioural challenges were observed), as well as pre and post self-report rating scale measures of teacher attributions and perceptions and student behaviour. Visual and statistical analyses of group and overall teacher data revealed significant increases in the use of reinforcement and antecedent strategies, reported use of rewards as an intervention strategy, reported levels of confidence in their ability to manage student misbehaviour, and a shift in teachers’ views of student misbehaviour as being more temporary rather than chronic. Significant decreases in teacher reactive responses and reported levels of student inattention and overactivity were also demonstrated. With respect to students, visual and statistical analyses of group and overall data revealed increases in student on-task non-disruptive behaviour and reported levels of self-reliance. Student disruptive and off-task behaviour were significantly reduced. Despite several limitations, the results of the present study demonstrate that student problem behaviour can be efficiently and effectively managed in the classroom without the use of reactive strategies.

Individuals afflicted with childhood and adolescent mental disorders have an increased risk for poor outcome in adulthood. The progression of psychopathology from childhood to adult life may be influenced by a multitude of interacting variables, both biological and psychosocial. There is limited information on the relationships between child psychopathology and adult personality and personality disorders. The main aim of this thesis was therefore to gain better knowledge concerning adult personality outcome in patients with early onset of mental disorders. Former child psychiatric patients as compared to controls had a significantly higher prevalence of all DSM-IV personality disorders (38.0 vs. 10.9 percent, p&lt;0.001) and also a considerably higher personality disorder co-morbidity. They also had more psychosocial and environmental problems. This was exaggerated in those diagnosed with a personality disorder. Major depression, disruptive disorders and substance use disorders at a young age were strong predictors for adult personality disorder. Patients with an early onset major depression had more personality disorders and more deviant personality traits than those with a late onset. Forensic psychiatric male patients diagnosed with a previous conduct disorder as compared to those without had more cluster B personality disorders, and more repeated violent criminality and mixed abuse. They also exhibited more deviant personality traits and higher psychopathy scores. The instrument "Child and Adolescent Psychiatric Screening Inventory-Retrospect" had acceptable sensitivity and specificity for assessment of child psychiatric disorders. Subscales demonstrated good internal reliability (Crohnbach´s alpha = 0.76-0.93). The results suggest that adult personality disturbances are prevalent in individuals affected with mental problems at young ages. A better understanding of the transition of psychopathology from childhood to adulthood and a better identification of those at risk will be of help in attempts to prevent permanent impact on the adult personality.

This monograph contributes to the methodology of Agent-based Computational Economics. First, we introduce a generic simulation framework suitable for agent-based simulations featuring the support of heterogeneous agents, hierarchical scheduling, and flexible specification of design parameters. For the latter, we use an XML-based format enabling the design of flexible models, with the possibility of varying both agent population and parameterization. Further, the tool allows the definition of communication channels to single agents, or groups thereof, and handles the information exchange. Both agents and communication channels can be added and removed at runtime. To handle the heterogeneity arising from both the agents' implementations and the underlying platforms, we introduce an XML-based wrapper technique for mapping the functionality of agents living in an interpreter-based environment to a standardized JAVA interface. Second, we present a collection of artificial economic actors to be used with this framework. Their interplay is demonstrated in two fields of management science: marketing and technological choice. In the field of marketing, the question of choosing the optimal segmentation techniques for market segmentation is investigated, comparing the performance of firm agents with diverse segmentation strategies in a highly customizable artificial consumer market. In the second application, we study the influence of technological efficiency and organizational inertia on the emergence of competition when firms decide myopically. We observe the competitive reaction of a former monopolist to the advent of a new competitor to assess when new, "disruptive" technologies cause the failure of incumbent firms and investigate simple defensive strategies. (author's abstract)

Drastic changes in aircraft operational requirements and the emergence of new enabling technologies often occur symbiotically with advances in technology inducing new requirements and vice versa. These changes sometimes lead to the design of vehicle concepts for which no prior art exists. They lead to revolutionary concepts. In such cases the basic form of the vehicle geometry can no longer be determined through an ex ante survey of prior art as depicted by aircraft concepts in the historical domain. Ideally, baseline geometries for revolutionary concepts would be the result of exhaustive configuration space exploration and optimization. Numerous component layouts and their implications for the minimum external dimensions of the resultant vehicle would be evaluated. The dimensions of the minimum enclosing envelope for the best component layout(s) (as per the design need) would then be used as a basis for the selection of a baseline geometry. Unfortunately layout design spaces are inherently large and the key contributing analysis i.e. collision detection, can be very expensive as well. Even when an appropriate baseline geometry has been identified, another hurdle i.e. vehicle scaling has to be overcome. Through the design of a notional Cessna C-172R powered by a liquid hydrogen Proton Exchange Membrane (PEM) fuel cell, it has been demonstrated that the various forms of vehicle scaling i.e. photographic and historical-data-based scaling can result in highly sub-optimal results even for very small O(10-3) scale factors. There is therefore a need for higher fidelity vehicle scaling laws especially since emergent technologies tend to be volumetrically and/or gravimetrically constrained when compared to incumbents. The Configuration-space Exploration and Scaling Methodology (CESM) is postulated herein as a solution to the above-mentioned challenges. This bottom-up methodology entails the representation of component or sub-system geometries as matrices of points in 3D space. These typically large matrices are reduced using minimal convex sets or convex hulls. This reduction leads to significant gains in collision detection speed at minimal approximation expense. (The Gilbert-Johnson-Keerthi algorithm is used for collision detection purposes in this methodology.) Once the components are laid out, their collective convex hull (from here on out referred to as the super-hull) is used to approximate the inner mold line of the minimum enclosing envelope of the vehicle concept. A sectional slicing algorithm is used to extract the sectional dimensions of this envelope. An offset is added to these dimensions in order to come up with the sectional fuselage dimensions. Once the lift and control surfaces are added, vehicle level objective functions can be evaluated and compared to other designs. For each design, changes in the super-hull dimensions in response to perturbations in requirements can be tracked and regressed to create custom geometric scaling laws. The regressions are based on dimensionally consistent parameter groups in order to come up with dimensionally consistent and thus physically meaningful laws. CESM enables the designer to maintain design freedom by portably carrying multiple designs deeper into the design process. Also since CESM is a bottom-up approach, all proposed baseline concepts are implicitly volumetrically feasible. Furthermore the scaling laws developed from custom data for each concept are subject to less design noise than say, regression based approaches. Through these laws, key physics-based characteristics of vehicle subsystems such as energy density can be mapped onto key system level metrics such as fuselage volume or take-off gross weight. These laws can then substitute some historical-data based analyses thereby improving the fidelity of the analyses and reducing design time.

Thesis (M.S. in psychology)--Washington State University, August 2009. / Title from PDF title page (viewed on July 15, 2009). "Department of Psychology." Includes bibliographical references (p. 27-31).

Debate on single-sex vs. coeducational schooling has increased over the last years. The purpose of the following study is to produce empirical evidence on this debate by comparing the frequency of disruptive behaviors in students thatattend single-sex and coeducational schools, in order to find statistical correlation.The frequency of disruptive behaviors in students coming from 5 single-sex schools was compared to that coming from 5 coeducational ones. Data came from 844 students aged 14, attending public schools in Callao, Peru. Students from single-sex schools showed less frequent disruptive behavior in each of the three measured categories—disruptive behaviors, behaviors that show lack of responsibility and anti-social behavior. A weak correlation was found between each of the three categories and the main variable. The study controlled for extraneous variables. / El debate sobre el mejor modo de agrupar a los estudiantes (coeducación o educación diferenciada) ha cobrado vigencia en el panorama educativo mundial. El presente estudio procuró aportar evidencia empírica al debate mediante la comparación de la frecuencia de conductas disruptivas de estudiantes de ambos modos de agrupamiento para encontrar una eventual correlación. Se compararon las frecuencias de conductas disruptivas de ochocientos cuarenta y cuatro estudiantes de segundo de secundaria de escuelas públicas del Callao (cinco mixtas; cinco diferenciadas). Los estudiantes de escuelas diferenciadas presentaron una frecuencia menor en las tres categorías analizadas (conductas que interrumpen el estudio, de falta de responsabilidad y perturbadoras de las relaciones sociales en clase). Asimismo, se encontró una correlación débil entre cada una de las categorías y la variable «agrupamiento escolar por sexo». Se controlaron variables intervinientes.

For those organizations that experience disruption, they usually understand the situation when it is already too late. The real challenge to any theory, especially if it is of high relevance for managers, is how it performs predictively. Can the theory of disruptive technologies be used not only to analyze cases ex post but to predict the potential disruptive technologies ex ante? Established companies are skeptical of the idea of disruptiveness, because of the difficulty of making predictions given the ex post nature of the theory. In this regard the goal of this report is to provide a general measure of disruptiveness and develop a framework that can assess technologies whether they have the potential to be proven disruptive. The developed assessment framework captures the essential characteristic and holistic success factors for disruptive technologies based on the theory of Christensen and a number of clarifications as seen in the literature. The framework is applied and validated by assessing the disruptive potential of five renewable energy technologies (wind energy, solar energy, biomass, hydro power, geothermal) in the power generation, heating and transportation sectors of four European countries (Austria, Bulgaria, Germany and Romania). The results show the applicability of the framework and give insights into technology and country specific determinants of energy market sector disruptions. (authors' abstract) / Series: Working Papers / Institute for Strategic Management / Energy & Strategy Think Tank