The purpose of this study is to identify some of the performance problems associated with contemporary piano music, using the Sonata No. 2 for Piano by Karel Husa (1921 - ) as the basis for the discussion. In so doing, this study identifies Karel Husa as an important contributor to twentieth century piano repertoire. Personal interviews and correspondence with the composer provided biographical, analytical, and stylistic insight for this study. Supplemental information on Karel Husa was obtained from journals, newspaper articles, and dissertations. The first chapter provides biographical information gleaned from the interview, with emphasis on Husa's keyboard compositions and early compositional influences. The second chapter offers a detailed formal analysis of the Sonata No. 2 from the perspective of motivlc development and cyclic unity. The final three chapters focus on twentieth century performance problems as exemplified in Karel Husa's Sonata No. 2 for Piano. In Chapter 3, the discussion of notation provides a general background on notational developments in pitch and rhythm in the twentieth century, with the Sonata illustrating these procedures. The fourth chapter concentrates specifically on Husa's individual rhythmic language. The final chapter is devoted to Husa's coloristic use of the piano, addressing his unique contributions to the tonal and timbral resources of the instrument. Innovations in dynamic gradations, playing inside of the piano, and extensive use of all three pedals are discussed, as well as the special techniques required to achieve these sounds. In all the chapters, musical examples from the Sonata Illustrate the discussion, and reprinted by permission from the publisher. Throughout the dissertation, Karel Husahas provided Invaluable assistance and insight thus offering readers an important link to both the Sonata No. 2 and the composer himself.

No description available.

Problem-solving ability is now the most sought-after trait in up-and-coming executives, according to a survey of 1 000 executives conducted by Caliper Associates, reported in the Wall Street Journal by Hal Lancaster (Hoenig, 2002:338). This trait would include the ability to solve human performance problems, something many people tend to steer clear of. According to Piskurich (2002:57-58) and Rothwell, Hohne and King (2000:67-71), the most common problem-solving tools that are used when solving human performance problems are brainstorming, cause-and-effect analysis, and the five why’s technique. Although techniques such as these have proven to be robust and useful, what is required to solve human performance problems is a logical and verifiable process that can establish a data point about which relevant information can be recognized and gathered, and against which the conclusion can be evaluated, to have confirmed knowledge of the root cause of the problems. Unfortunately, existing root cause analysis processes tend to focus on processes and systems, rather than on individual performance (Bowling, 2003). The main objective of this study was to develop a root cause analysis process that would uncover the root cause(s) of uncontrolled variation(s) in human performance and prevent the recurrence of events causing the variation. In addition to addressing individual human performance incidents, it is also necessary continually to manage people’s performance to detect and address any occurrences (or recurrences) of performance variations. Therefore, in addition to the main objective, the study also aimed to develop a Human Performance Management Model that incorporated the root cause analysis process as a problem-solving tool. Action research was used in this study, because of the cyclical iterative nature of this type of research, and because it is a rigorous, responsive and flexible process. The study consisted of three cycles. The end result was a structured root cause analysis process – the Human Performance Variation Analysis (HPVA) process – that enables the systematic collection of valid and reliable information, as is required to solve variation in human performance. The HPVA process is a three-part process that consists of 11 steps. The process is in turn a tool that forms part of a ten-step Human Performance Management Model. The study contributes to the body of knowledge on human performance management by presenting the following: • a systematic root cause analysis process that uncovers the root causes of human performance problems effectively and consistently and that controls these causes of problems in a way that prevents the problems from recurring; and • a Human Performance Management Model that will help to sustain the new, improved performance; prevent the same or similar performance problem(s) in other areas of the organisation; and ultimately, create an environment and culture of continuous human performance improvement. / Thesis (PhD)--University of Pretoria, 2009. / Human Resource Management / unrestricted

Cloud datacenters comprise hundreds or thousands of disparate application services, each having stringent performance and availability requirements, sharing a finite set of heterogeneous hardware and software resources. The implication of such complex environment is that the occurrence of performance problems, such as slow application response and unplanned downtimes, has become a norm rather than exception resulting in decreased revenue, damaged reputation, and huge human-effort in diagnosis. Though causes can be as varied as application issues (e.g. bugs), machine-level failures (e.g. faulty server), and operator errors (e.g. mis-configurations), recent studies have attributed capacity-related issues, such as resource shortage and contention, as the cause of most performance problems on the Internet today. As cloud datacenters become increasingly autonomous there is need for automated performance diagnosis systems that can adapt their operation to reflect the changing workload and topology in the infrastructure. In particular, such systems should be able to detect anomalous performance events, uncover manifestations of capacity bottlenecks, localize actual root-cause(s), and possibly suggest or actuate corrections. This thesis investigates approaches for diagnosing performance problems in cloud infrastructures. We present the outcome of an extensive survey of existing research contributions addressing performance diagnosis in diverse systems domains. We also present models and algorithms for detecting anomalies in real-time application performance and identification of anomalous datacenter resources based on operational metrics and spatial dependency across datacenter components. Empirical evaluations of our approaches shows how they can be used to improve end-user experience, service assurance and support root-cause analysis. / Cloud Control (C0590801)

Brass musicians are known to experience a performance problem that is sometimes called valsalva maneuver or musical stuttering. This problem is known to cause difficulty starting a first note, tension in the throat, and tightness in the chest. Unfortunately, the research literature lacks sufficient details for evidence-based interventions. Therefore, the purpose of this study is to characterize and define this performance problem as experienced by brass musicians. An online epidemiologic survey was developed and deployed to collect data from brass musicians who have experienced this problem in their own playing. The survey was designed to acquire data in order to characterize and define the phenomenon through a biopsychosocial framework. The survey was also designed to assess whether this problem aligns with Altenmuller's heuristic model of motor control disruptions. A diverse group of brass musicians (n = 252) participated and offered relevant details for characterizing and defining this problem. Analysis of characteristic data suggests this problem is not a form of musical stuttering. Considering these data through Altenmuller's model suggests that this problem is experienced as a spectrum of motor disruptions that can develop into a unique type of musician's dystonia. While additional research is warranted, the results of this study are applicable to brass musicians, brass pedagogues, music educators, and performing arts health clinicians.