<p>At the Vanguard of Vinyl investigates the jazz industry's adoption of the long-playing record (LP), 1948-1960. The technological advancements of the LP, along with the incipient use of magnetic tape recording, made it feasible to commercially issue recordings running beyond the three-minute restrictions of the 78-rpm record. LPs began to feature extended improvisations, musical mistakes, musicians' voices, and other moments of informal music making, revolutionizing the standard recording and production methods of the previous recording era. As the visual and sonic modes of representation shifted, so too did jazz's relationship to white mainstream culture, Western European musical aesthetics, US political structures, and streams of Afro-modernism. Jazz, as an African American social and musical practice, became a form of resistance against the violent structures of institutional racism within the United States in the 1950s. </p><p>Using the records of Miles Davis, Duke Ellington, Dizzy Gillespie, and Cannonball Adderley, this study outlines the diverse approaches to record making that characterized the transitional years as the LP became the standard recording format. Through archival research, close listening, and detailed discographical analyses of the era's most influential record labels, I show how jazz practices and musical "mistakes" caught on record provided opportunities for recording experimentation. I examine choices made during the record production process, such as tape edits, microphone placement, overdubbing, and other sound processing effects, connecting such choices to the visual and tactile attributes of these discs. Drawing on scholarship that considers how sound reproduction technologies mediate constructions of race and ethnicity, I argue that the history of jazz in the 1950s is one of social engagement by means of and through technology. At the Vanguard of Vinyl is a cultural history of the jazz LP that underscores the ways in which record making is a vital process to music and its circulation.</p> / Dissertation

Following López, I claim that although any sound can be music, not all sound is music. Soundscape composition begins when a soundscape prompts the composer to engage musically with it. How this engagement manifests is influenced by composers’ differing philosophical, practical and aesthetic positions. These are explained in Part I and provide the basis to my analysis of soundscape composition. Part II focuses on how my soundscape composition manifests (in ways prescriptive, spontaneous and retrospective), how it is explored both temporally and spatially and how the listening subject and the acoustic agent are inextricably linked. Within the developmental phases of context, field work and editing, my first compositional approach, through which my works can be identified, is defined in three ways: as hyper-real (in which particular acoustic elements are exaggerated, distorted or re-combined); as soundwalks (in which the microphone is moved through space) and as improvisational intervention (using musical instruments to acoustically illuminate the space being recorded). My second compositional approach presents the perception of sound as micro, macro and ambient. My third approach, which is at the heart of all my soundscape composition, uses the microphone as a musical instrument in its own right. In all approaches, serendipity and my own acoustic presence are embraced. Diffusion of my work is intended to engage the listener in creative contemplation of soundscapes, any other perceived agendas such as documentation being incidental.

Personal knowledge was disclosed amongst a group of experienced registered nurses in relation to feeding severely ill patients with cancer and dementia (I,II,III), communicating with severely demented patients (IV,V), and receiving group supervision (VI). Principled ethics did not seem an adequate model for describing the ethical reasoning of experienced RNs. For the twenty RNs working in oncological care the question of whether or not to accept active euthanasia was the most urgent. The twenty RNs working in dementia care emphasized the difficulty they had in understanding the meaning of communicative cues in severely demented patients. Both groups of nurses saw themselves as advocates for their patients and seemed to reason mainly in accordance with the Golden Rule. Through a phenomenological hermeneutic analysis of video recordings of two RNs' interaction with each of four severely demented patients, it was possible to interpret the patients' vague and unclear communicative cues. But observations based on an assessment of facial muscle movements showed that it was very difficult (the FACS). Group supervision based on a narrative framework was carried out in order to support nurses working in dementia care. Interviews with the fifteen RNs showed that they experienced recognition and reassurance of worth, an increased repertoire of actions, gained new perspectives, an increased awareness of their professional role, and interdependence. It is proposed that the care of severely ill patients can be improved by the use of a narrative approach both as regards understanding patients and encouraging RNs to develop their clinical knowledge through reflecting on their own and their coworkers' narrations about care. / <p>Diss. (sammanfattning) Umeå : Umeå universitet, 1993, härtill 6 uppsatser.</p> / digitalisering@umu

We have developed a high-throughput system of closed-loop electrical stimulation and optical recording that facilitates the rapid characterization of extracellular stimulus-evoked neural activity. The ability to selectively stimulate a neuron is a defining characteristic of next-generation neural prostheses. Greater stimulus control and differential activation of specific neuronal populations allows for prostheses that better mimic their biological counterparts. In our system, we deliver square current pulses using a microelectrode array; automated real-time image processing of high-speed digital video identifies the neuronal response; and a feedback controller alters the applied stimulus to achieve a targeted response. The system controller performs directed searches within the strength-duration (SD) stimulus parameter space to build probabilistic neuronal activation curves. An important feature of this closed-loop system is a reduction in the number of stimuli needed to derive the activation curves when compared to the more commonly used open-loop system: this allows the closed-loop system to spend more time probing stimulus regions of interest in the multi-parameter waveform space, facilitating high resolution analysis. The stimulus-evoked activation data were well-fit to a sigmoid model in both the stimulus strength (current) and duration (pulse width) slices through the waveform space. The 2-D analysis produced a set of probability isoclines corresponding to each neuron-electrode pairing, which were fit to the SD threshold model described by Lapique (1907). We show that stimulus selectivity within a given neuron pair is possible in the one-parameter search space by using multiple stimulation electrodes. Additionally, by applying simultaneous stimuli to adjacent electrodes, the interaction between stimuli alters the neuronal activation threshold. The interaction between simultaneous multi-electrode multi-parameter stimulus waveforms creates an opportunity for increased stimulus selectivity within a population. We demonstrated that closed-loop imaging and micro-stimulation technology enable the study of neuronal excitation across a large parameter space, which is requisite for controlling neuronal activation in next generation clinical solutions.

This study had two purposes: first, to collect information relating to harmonic and intermodulation distortion from several sources into one comprehensive report and second, to describe and develop an interactive CD-ROM as a new method of learning harmonic and intermodulation distortion. The CD-ROM allows students to interact and control the percentage amount of harmonic and intermodulation distortion in order to "calibrate" their ears. In addition, the practical testing environment changes on a random basis to continually challenge the users. These situations allow students to interact at their own speed and therefore customize their learning development. / School of Music

Pavement rutting is one of the major asphalt pavement surface distresses affecting pavement structure integrity and driving safety and is also a required performance measure specified in the Highway Performance Monitoring System (HPMS). Manual rutting measurement is still conducted by many state Departments of Transportation (DOTs), like Georgia DOT; however, it is time-consuming, labor-intensive, and dangerous. Although point-based rut bar systems have been developed and utilized by state DOTs to measure rutting conditions, they often underestimate rut depth measurements. There is an urgent need to develop an automated method to accurately and reliably measure rutting conditions. With the advance of sensing technology, emerging 3D line laser imaging technology is capable of collecting high-resolution 3D range data at highway speed (e.g., 100 km/h) and, therefore, holds a great potential for accurately and repeatedly measuring pavement rutting condition. The main contribution of this research includes a methodology, along with a series of methods and procedures, for the first time, developed utilizing emerging 3D line laser imaging technology to improve existing 1D rut depth measurement accuracy and repeatability and to measure additional 2D and 3D rutting characteristics. These methods and procedures include: (1) a threshold-based outlier removal method employing the multivariate adaptive regression splines (MARS) technique to remove outliers caused by non-rutting features, such as wide transverse cracks and potholes; (2) a modified topological-ordering-based segment clustering (MTOSC) method to optimally partition the continuous roadway network into segments with uniform rutting condition; (3) an overlapping-reducing heuristic method to solve large-scale segmentation problems; (4) a network-level rutting condition assessment procedure for analyzing 3D range data to statistically interpret the pavement rutting condition in support of network-level pavement management decisions; (5) an isolated rut detection method to determine the termini, maximum depth, and volume of isolated ruts in support of project-level maintenance operations. Comprehensive experimental tests were conducted in the laboratory and the field to validate the accuracy and repeatability of 1D rut depth obtained using the 3D range data. Experimental tests were also conducted in the laboratory to validate the accuracy of 3D rut volume. Case studies were conducted on one interstate highway (I-95), two state routes (SR 275 and SR 67), and one local road (Benton Blvd.) to demonstrate the capability of the developed methods and procedures. The results of experimental tests and case studies show that the proposed methodology is promising for improving the rutting measurement accuracy and reliability. This research is one of the initial effort in studying the applicability of this emerging sensing technology in pavement management. And the outcomes of this research will play a key role in advancing state DOTs’ existing pavement rutting condition assessment practices.

Jointed Plain Concrete Pavements (JPCP) are some the most popular forms of concrete pavement that are used in the state of Georgia. Each year the Georgia Department of Transportation (GDOT) inspects and surveys their highways to determine what condition the pavement is in and if any rehabilitation is required to maintain the integrity of the highway. These annual surveys include the JPCP and the key concrete pavement characteristics that are used to determine the condition of the JPCP are the faulting at the joints and the roughness of the section. Since it is well known that concrete will exhibit slight movement when subjected to thermal variations it is possible that the these minor movements could have an impact on the measured slab properties used to rate the JPCP section. The focus of this research is to develop a methodology to use three dimensional technologies to capture JPCP surface data under a variety of thermal conditions, to develop a procedure to collect and analyze concrete temperature data, to develop a method to analyze the surface data and how to correlate all of the data that was collected. Three test sites were chosen that covered a total of 6 test sections that were composed of 25 slabs and 26 joints each. This provided a total of 150 slabs and 156 joints that were used for analysis. A single slab was selected as a test specimen to install thermal logging devices into so that the temperature distributions through the slab could be investigated. Three positions were monitored to determine if the position that the temperature gradient was measured was critical. It was found that the temperature followed a similar trend for all of the positions with the profiles being slightly shifted from each other. It was also concluded that the temperature in the bottom of the slab was approximately the same as the temperature in the base. It was discovered that the maximum positive temperature gradient occurred simultaneously with the maximum ambient air temperature and the maximum surface temperature. The results showed that the surface temperature followed a trend similar to the ambient air temperature. However the surface temperature was greater throughout the day. The faulting analysis results indicated that out of the 156 joints inspected only 15 showed a variation in the average faulting that was greater than the 0.5 mm (0.02 in) accuracy of the sensors used to collect the JPCP surface data. Further investigation revealed that there was no clear trend between the temperature change and the average faulting variation. It was concluded that if there was a change in the average faulting due to temperature it is smaller than what can be depicted by the sensing vehicle and it is less than the 1 mm (0.04 in) measurement accuracy that is specified in the American Association of State Highway and Transportation Officials (AASHTO) R36-04 specification which governs the accuracy requirements for automated faulting measurement methods. The International Roughness Index (IRI) was the method used to measure the roughness on each test site for each data collection run. This resulted in 336 IRI values that were inspected to determine whether there was an impact from the temperature variations. The IRI results showed that the roughness of the test sections did vary through the day. After it was found that the IRI did vary through the day the IRI distributions were compared to the temperature distribution and 7 out of the 12 distributions studied showed a weak correlation between the temperature and the IRI. The amount of variation in the IRI was not quantified because the exact accuracy of the IRI values attained from the sensing vehicle was unknown. However it was attempted to validate the system and determine the accuracy but one of the validation test sections showed disappointing results while the other two showed promising results. Further research is required to fully evaluate the sensing vehicles ability and accuracy when measuring the IRI. A procedure was also developed to extract the longitudinal and transverse curvature of the concrete pavement slabs. Three test slabs were selected at one of the test sites and curvature results were generated using the developed procedure. The curvature results were visually and quantitatively assessed. The visual analysis indicated that the curvature profiles measured by the 3D line lasers did change throughout the data collection, but the patterns did not follow what was expected and a correlation could not be created with the temperature. The quantitative results for the longitudinal curvature revealed that one of the slabs did show a pattern that followed the temperature changes during the data collection, but it did show as much as 4.65 mm (0.183 in) of change between consecutive data collection runs. The longitudinal curvature results for the other two slabs did not show a trend and exhibited unlikely changes in the curvature measured between consecutive data collection runs, which in some instances the deviation was as much as 12.09 mm (0.480 in). For the transverse curvature one of the slabs indicated that the curvature did not change during the data collection, while the other two showed sudden changes as high as 2.16 mm (0.085 in) between consecutive data collection runs. The developed procedure is only preliminary and needs to be further evaluated and refined for it to be able to adequately measure the curvature of as slab. The results also need to be verified using actual measured ground truth curvatures to determine the validity of using the developed procedure and the 3D line laser data to measure the curvature of concrete slabs. Once the procedure is proven to produce reliable results it should be compared to other curvature computation methods, such as those that utilize road profilers or LIDARs, to determine which method is the best.

In this thesis I present a collaborative annotation strategy to improve the usability of audio/visual meeting recordings. Meeting records are inherently difficult to navigate without structure, and even full transcripts do not always address this problem. Through the use of collaborative annotations some structure can be provided. The current study examines the use of a scalable classroom response system to allow groups to conveniently and easily provide these annotations during a class or meeting and presents a web-based video browser that uses these annotations to greatly improve the efficiency and satisfaction in a later information retrieval task. The applicability of this annotation strategy is discussed in a range of situations across formal meetings, classroom situations, and online audio and video.

This study explored the implementation of Image Theatre as a means to developing systems thinking in a co-curricular student leadership development program at the University of Victoria. The research question asked: In what ways does the implementation of an arts-based pedagogical approach, such as Image Theatre, illustrate the potentiality for undergraduate students to better understand ‘the bigger picture’ and the interconnections of their intersecting social systems? This inquiry was conducted through an arts-based methodology and used the Social Change Model of Leadership Development (Higher Education Research Institute, 1996) as a theoretical framework for designing the student leadership program. The study was conducted during a workshop in which Image Theatre and graphic recording were used in parallel to trace connections among the characters portrayed by six undergraduate students interested in environmental sustainability. The themes that emerged included the tensions of individuals ‘caught in the middle’, or system’s integrators, and the role of activism. The study’s findings suggest students’ understanding of systems as fragmented units and identifies the potentiality for further research and intentional practice emphasizing the interconnections and relationships among systems within the curriculum. / Graduate / 0745 / 0727 / 0516 / vcortes@uvic.ca

<p>Deep brain stimulation (DBS) is an established surgical therapy for movement disorders. The mechanisms of action of DBS remain unclear, and selection of stimulation parameters is a clinical challenge and can result in sub-optimal outcomes. Closed-loop DBS systems would use a feedback control signal for automatic adjustment of DBS parameters and improved therapeutic effectiveness. We hypothesized that evoked compound action potentials (ECAPs), generated by activated neurons in the vicinity of the stimulating electrode, would reveal the type and spatial extent of neural activation, as well as provide signatures of clinical effectiveness. The objective of this dissertation was to record and characterize the ECAP during DBS to determine its suitability as a feedback signal in closed-loop systems. The ECAP was investigated using computer simulation and <italic>in vivo</italic> experiments, including the first preclinical and clinical ECAP recordings made from the same DBS electrode implanted for stimulation. </p><p>First, we developed DBS-ECAP recording instrumentation to reduce the stimulus artifact and enable high fidelity measurements of the ECAP at short latency. <italic>In vitro</italic> and <italic>in vivo</italic> validation experiments demonstrated the capability of the instrumentation to suppress the stimulus artifact, increase amplifier gain, and reduce distortion of short latency ECAP signals.</p><p>Second, we characterized ECAPs measured during thalamic DBS across stimulation parameters in anesthetized cats, and determined the neural origin of the ECAP using pharmacological interventions and a computer-based biophysical model of a thalamic network. This model simulated the ECAP response generated by a population of thalamic neurons, calculated ECAPs similar to experimental recordings, and indicated the relative contribution from different types of neural elements to the composite ECAP. Signal energy of the ECAP increased with DBS amplitude or pulse width, reflecting an increased extent of activation. Shorter latency, primary ECAP phases were generated by direct excitation of neural elements, whereas longer latency, secondary phases were generated by post-synaptic activation.</p><p>Third, intraoperative studies were conducted in human subjects with thalamic DBS for tremor, and the ECAP and tremor responses were measured across stimulation parameters. ECAP recording was technically challenging due to the presence of a wide range of stimulus artifact magnitudes across subjects, and an electrical circuit equivalent model and finite element method model both suggested that glial encapsulation around the DBS electrode increased the artifact size. Nevertheless, high fidelity ECAPs were recorded from acutely and chronically implanted DBS electrodes, and the energy of ECAP phases was correlated with changes in tremor. </p><p>Fourth, we used a computational model to understand how electrode design parameters influenced neural recording. Reducing the diameter or length of recording contacts increased the magnitude of single-unit responses, led to greater spatial sensitivity, and changed the relative contribution from local cells or passing axons. The effect of diameter or contact length varied across phases of population ECAPs, but ECAP signal energy increased with greater contact spacing, due to changes in the spatial sensitivity of the contacts. In addition, the signal increased with glial encapsulation in the peri-electrode space, decreased with local edema, and was unaffected by the physical presence of the highly conductive recording contacts.</p><p>It is feasible to record ECAP signals during DBS, and the correlation between ECAP characteristics and tremor suggests that this signal could be used in closed-loop DBS. This was demonstrated by implementation in simulation of a closed-loop system, in which a proportional-integral-derivative (PID) controller automatically adjusted DBS parameters to obtain a target ECAP energy value, and modified parameters in response to disturbances. The ECAP also provided insight into neural activation during DBS, with the dominant contribution to clinical ECAPs derived from excited cerebellothalamic fibers, suggesting that activation of these fibers is critical for DBS therapy.</p> / Dissertation