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<p>The category of grammatical gender has gained considerable attention in the linguistic literature. Previous studies focused primarily on describing the often very complex system of genders in particular languages, on the understanding of the category <em>per se</em> (e.g. the origin of gender differentiation) or the acquisition of grammatical gender and the processing of this category in language production.</p> <p>In contrast, the present dissertation looks at grammatical gender from a cognitive point of view. For the sake of this dissertation, <em>cognitive perspective</em> is defined as the assumption that human language cannot be separated from the way human beings perceive the world since language and thought are inextricably related. This approach also implies that research cannot be limited to theoretical explorations, but rather, that it must employ experimental methods and use research tools traditionally associated with other disciplines to collect data about authentic language use. All studies included in this thesis concentrate on the topic of grammatical gender, but they approach the category from a variety of perspectives.</p> <p>It was found that the grammatical gender, at least to some degree, shapes the worldview of speakers of those languages in which the category operates, since the gender of the personification of concepts usually agrees with the grammatical gender of the respective nouns. In the context of translation, grammatical gender proved to be much more challenging than had been expected; there were many mistakes found in the translation product and many hesitations observed in the translation process.</p> <p>The findings of the studies included in this thesis add to the general understanding of the complexities of the category of grammatical gender and its relationship to the way language users perceive the world. What is more, the investigations and proposals presented here emphasize the need for a more interdisciplinary approach to the study of grammatical gender.</p> / Doctor of Philosophy (PhD)

This contribution discusses a new control concept (compare Boden et al., 2021) that allows transport load exchange in hybrid AMHS. It focuses on vehicles able to perform load exchange dynamically by splitting transport requests into sub-tasks determined ad-hoc depending on the current system status. Unlike conventional control approaches for hybrid AMHS, our dispatching approach does not rely on high-level control rules which statically split transport tasks in advance.

A novel control method called orthogonal eigenstructure control is developed for active vibration cancellation in structures. Orthogonal eigenstructure control is a feedback control method applicable to multi-input multi-output linear systems. While the available control design methodologies offer a large and complex design space of options that can often overwhelm a designer, this control method offers a significant simplification of the design task while still allowing some experience-based design freedom. For example, eigenstructure assignment methods need definition of a desired eigenvector for the closed-loop system. The controller designer may also be required to do pole placement. Considering the fact that there are no one-to-one relationships between the elements of the closed-loop eigenvectors of a model and the states of the system, this effort could be inefficient for many practical systems. Moreover, for large-scale systems, defining or shaping the eigenstructures become a relatively difficult task. Orthogonal eigenstructure control is a state feedback-like control law that is relatively easy to design and implement to multiple-input multiple-output systems. It allows control engineers to achieve good performing designs even with little design experience, while the existing methods are highly dependent on designer experience. Orthogonal eigenstructure control is introduced and extended to be applicable to linear systems regardless of the number and location of the actuators and sensors. Also, the concept of progressive application of the proposed control method for increasing robustness is described. Finally, the result of application of the control method for vibration cancellation of a test plate is investigated through experiments for tonal and wideband disturbances. The results show a significant reduction of vibrations using the orthogonal eigenstructure control with relative ease in finding the control gain matrix. / Ph. D.

Collaborative group learning is a popular method of instruction that is used in a variety of academic disciplines but little is known about how it is perceived as an instructional approach. The purpose of this study was to discover how college-level learners and instructors perceive collaborative group learning in regard to value and benefit, role of the instructor, and factors that contribute to positive and negative collaborative experiences. A non-experimental study provided information about participants in the form of descriptive data, correlational statistics, and qualitative analysis. Findings indicated that collaborative group learning was valued because it supported the achievement of learning goals, was an effective method of learning, and held professional benefit. However, value and benefit were reported to be affected by a variety of factors, such as work and reward inequities, the social context of collaboration, and the appropriateness of the activity to the learning situation and objectives. Findings related to the instructor's role showed that students acknowledged and accepted ownership of group processes; however, they also indicated that they would like the instructor to play an active role in the collaborative activity to support the learning process. This and other instructor role findings indicate the complexity of balancing instructor functions, as highlighted in results that showed some learners and instructors preferred a hands-off approach on the part of the instructor, while other learners and instructors felt that instructor involvement was a necessity. Suggestions provided by learners and instructors regarding instructor functions that supported effective collaboration included such activities as mentoring collaborative behavior, monitoring group and individual progress, and providing clear expectations and guidance. Findings from this study may be useful for informing the design, development, and implementation of collaborative group learning activities by providing insight into the factors that contribute to effective collaborative experiences, as well as perceptual differences and similarities between the learners and instructors. / Ph. D.

The less-than-truckload (LTL) transportation industry is highly competitive with low profit margins. Carriers in this industry strive to reduce costs and improve customer service to remain profitable. LTL carriers rely on a network of hubs and service centers to transfer freight. A hub is typically a cross docking terminal in which shipments from inbound trailers are unloaded and reassigned and consolidated onto outbound trailers going to the correct destinations. Freight handling in a hub is labor intensive, and workers must quickly transfer freight during a short time period to support customer service levels. Reducing shipment transfer time in hubs offers the opportunity to reduce labor costs, improve customer service, and increase competitive advantages for carriers. This research focuses on improving the efficiency of hub operations in order to decrease the handling costs and increase service levels for LTL carriers. Specifically, the following two decision problems are investigated: (1) assigning trailers to dock doors to minimize the total time required to transfer shipments from inbound trailers to destination trailers and (2) sequencing unloading and loading of freight to minimize the time required by dock employees. The trailer-to-door assignment problem is modeled as a Quadratic Assignment Problem (QAP). Both semi-permanent and dynamic layouts for the trailer-to-door assignment problem are evaluated. Improvement based heuristics, including pair-wise exchange, simulated annealing, and genetic algorithms, are explored to solve the trailer-to-door assignment problem. The freight sequencing problem is modeled as a Rural Postman Problem (RPP). A Balance and Connect Algorithm (BCA) and an Assign First and Route Second Algorithm (AFRSA) are investigated and compared to Balanced Trailer-at-a-Time (BTAAT), Balanced Trailer-at-a-Time with Offloading (BTAATWO), and Nearest Neighbor (NN). The heuristics are evaluated using data from two LTL carriers. For these data sets, both the total travel distance and the transfer time of hub operations are reduced using a dynamic layout with efficient freight sequencing approaches, such as the Balance and Connect Algorithm (BCA), the Balanced Trailer-at-a-Time with Offloading (BTAATWO), and the Nearest Neighbor (NN). Specifically, with a dynamic layout, the BCA reduces travel distance by 10% to 27% over BTAAT and reduces the transfer time by 17% to 68% over BTAAT. A simulation study is also conducted for hub operations in a dynamic and stochastic environment. The solutions from the door assignment and freight sequencing approaches are evaluated in a simulation model to determine their effectiveness in this environment. The simulation results further demonstrate that the performance measures of hub operations are improved using a dynamic layout and efficient freight sequencing approaches. The main contributions of this research are the integer programming models developed for the freight sequencing problem (FSP), based on the Rural Postman Problem (RPP). This is the first known application of the RPP for the FSP. Efficient heuristics are developed for the FSP for a single worker and for multiple workers. These heuristics are analyzed and compared to previous research using industry data. / Ph. D.