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Academic literature on the topic 'Oud Performance'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Oud Performance"

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Obeidat, Nedal, and Mohammad Altashli. "The Trilling Method on Oud Instrument." Dirasat: Human and Social Sciences 49, no. 5 (December 29, 2022): 479–89. http://dx.doi.org/10.35516/hum.v49i5.3496.

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This research deals with one of the techniques of playing the Oud instrument, which is the Trill technique, which has become a necessity to perform on the Oud instrument in the current era, especially since most of the studies that searched in Oud techniques did not discuss the method of performing this technique, but only mentioned it. This research aims to know what the trill is and to clarify its types, style, and methods of performing on the Oud. Researchers have authored a number of exercises to teach the performance of the trill on Oud, explaining the positions of the playing (Positions), the numbers of the fingers, and the method of using the Pic. The researchers also employed this technique in the song of Halasmar Allon and the first Khanah of Ibrahim Al-Arian's Samaai, to verify the research procedures and the desired goal.
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Zhu, Vivienne J., Leslie A. Lenert, Kelly S. Barth, Kit N. Simpson, Hong Li, Michael Kopscik, and Kathleen T. Brady. "Automatically identifying opioid use disorder in non-cancer patients on chronic opioid therapy." Health Informatics Journal 28, no. 2 (January 2022): 146045822211078. http://dx.doi.org/10.1177/14604582221107808.

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Background: Using the International Classification of Diseases (ICD) codes alone to record opioid use disorder (OUD) may not completely document OUD in the electronic health record (EHR). We developed and evaluated natural language processing (NLP) approaches to identify OUD from the clinal note. We explored the concordance between ICD-coded and NLP-identified OUD. Methods: We studied EHRs from 13,654 (female: 8223; male: 5431) adult non-cancer patients who received chronic opioid therapy (COT) and had at least one clinical note between 2013 and 2018. Of eligible patients, we randomly selected 10,218 (75%) patients as the training set and the remaining 3436 patients (25%) as the test dataset for NLP approaches. Results: We generated 539 terms representing OUD mentions in clinical notes (e.g., “opioid use disorder,” “opioid abuse,” “opioid dependence,” “opioid overdose”) and 73 terms representing OUD medication treatments. By domain expert manual review for the test dataset, our NLP approach yielded high performance: 98.5% for precision, 100% for recall, and 99.2% for F-measure. The concordance of these NLP and ICD identified OUD was modest (Kappa = 0.63). Conclusions: Our NLP approach can accurately identify OUD patients from clinical notes. The combined use of ICD diagnostic code and NLP approach can improve OUD identification.
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Annis, Izabela E., Robyn Jordan, and Kathleen C. Thomas. "Quickly identifying people at risk of opioid use disorder in emergency departments: trade-offs between a machine learning approach and a simple EHR flag strategy." BMJ Open 12, no. 9 (September 2022): e059414. http://dx.doi.org/10.1136/bmjopen-2021-059414.

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ObjectivesEmergency departments (EDs) are an important point of contact for people with opioid use disorder (OUD). Universal screening for OUD is costly and often infeasible. Evidence on effective, selective screening is needed. We assessed the feasibility of using a risk factor-based machine learning model to identify OUD quickly among patients presenting in EDs.Design/settings/participantsIn this cohort study, all ED visits between January 2016 and March 2018 for patients aged 12 years and older were identified from electronic health records (EHRs) data from a large university health system. First, logistic regression modelling was used to describe and elucidate the associations between patient demographic and clinical characteristics and diagnosis of OUD. Second, a Gradient Boosting Classifier was applied to develop a predictive model to identify patients at risk of OUD. The predictive performance of the Gradient Boosting algorithm was assessed using F1 scores and area under the curve (AUC).OutcomeThe primary outcome was the diagnosis of OUD.ResultsAmong 345 728 patient ED visits (mean (SD) patient age, 49.4 (21.0) years; 210 045 (60.8%) female), 1.16% had a diagnosis of OUD. Bivariate analyses indicated that history of OUD was the strongest predictor of current OUD (OR=13.4, CI: 11.8 to 15.1). When history of OUD was excluded in multivariate models, baseline use of medications for OUD (OR=3.4, CI: 2.9 to 4.0) and white race (OR=2.9, CI: 2.6 to 3.3) were the strongest predictors. The best Gradient Boosting model achieved an AUC of 0.71, accuracy of 0.96 but only 0.45 sensitivity.ConclusionsPatients who present at the ED with OUD are high-need patients who are typically smokers with psychiatric, chronic pain and substance use disorders. A machine learning model did not improve predictive ability. A quick review of a patient’s EHR for history of OUD is an efficient strategy to identify those who are currently at greatest risk of OUD.
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Peglow, Stephanie Lee, Ismene Petrakis, and Robert Rosenheck. "Opioid agonist treatment in the Veterans Health Administration: is health care local?" Journal of Public Mental Health 16, no. 1 (March 20, 2017): 28–36. http://dx.doi.org/10.1108/jpmh-08-2016-0033.

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Purpose Opioid use disorder (OUD) poses a national public health challenge including for the Veterans Health Administration (VHA). However, the responsiveness of VHA, as a centralized national health care system, to local conditions has not been studied. The purpose of this paper is to examine the correlation of measures of population-based OUD case identification and provision of opioid agonist treatment (OAT) in VHA and in local systems at the state level thus evaluating the responsiveness of VA as centralized health system to local conditions. Design/methodology/approach Correlation of VHA administrative data and local survey data reflecting OUD and OAT rates were evaluated with Pearson correlations. Further analyses examined the correlation of VHA and non-VHA OUD and OAT measures with state rates of opioid-related deaths, median income, health insurance coverage and education levels. Findings VHA rates of OUD and OAT at the state level were both significantly correlated with corresponding state data from the National Survey on Drug Use and Health (r=0.28, p=0.048 and r=0.71, p=0.002, respectively). Both OUD and OAT in VHA were positively and significantly correlated with state rates of opioid-related deaths, while indicators of OAT were significantly associated with higher state-level median income, health insurance coverage and levels of education. Practical implications Although centrally managed from Washington, D.C., VHA case identification and OAT service delivery appear to be correlated with relevant local measures. Social implications Significant associations with general population indicators point to underlying conditions that may shape both VHA and local health system performance. Originality/value Public health systems would benefit from performance evaluation data to examine responsiveness to local conditions.
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Dong, Xinyu, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N. Rosenthal, Mary Saltz, Joel H. Saltz, and Fusheng Wang. "Identifying risk of opioid use disorder for patients taking opioid medications with deep learning." Journal of the American Medical Informatics Association 28, no. 8 (April 30, 2021): 1683–93. http://dx.doi.org/10.1093/jamia/ocab043.

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Abstract Objective The United States is experiencing an opioid epidemic. In recent years, there were more than 10 million opioid misusers aged 12 years or older annually. Identifying patients at high risk of opioid use disorder (OUD) can help to make early clinical interventions to reduce the risk of OUD. Our goal is to develop and evaluate models to predict OUD for patients on opioid medications using electronic health records and deep learning methods. The resulting models help us to better understand OUD, providing new insights on the opioid epidemic. Further, these models provide a foundation for clinical tools to predict OUD before it occurs, permitting early interventions. Methods Electronic health records of patients who have been prescribed with medications containing active opioid ingredients were extracted from Cerner’s Health Facts database for encounters between January 1, 2008, and December 31, 2017. Long short-term memory models were applied to predict OUD risk based on five recent prior encounters before the target encounter and compared with logistic regression, random forest, decision tree, and dense neural network. Prediction performance was assessed using F1 score, precision, recall, and area under the receiver-operating characteristic curve. Results The long short-term memory (LSTM) model provided promising prediction results which outperformed other methods, with an F1 score of 0.8023 (about 0.016 higher than dense neural network (DNN)) and an area under the receiver-operating characteristic curve (AUROC) of 0.9369 (about 0.145 higher than DNN). Conclusions LSTM–based sequential deep learning models can accurately predict OUD using a patient’s history of electronic health records, with minimal prior domain knowledge. This tool has the potential to improve clinical decision support for early intervention and prevention to combat the opioid epidemic.
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Blevins, Sarah R., Tiffany Stivers, Kathryn Sabitus, Ryan Weeks, J. Zachary Porterfield, and Alice Thornton. "83. A Descriptive Analysis of a Multi-disciplinary Approach to Opioid Use Disorder Treatment Within an Infectious Diseases Clinic." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S173. http://dx.doi.org/10.1093/ofid/ofaa439.393.

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Abstract Background Opioid overdose is the leading cause of injury-related death in the US. Kentucky ranks in the top 5 states for opioid overdose deaths. The rate of injection drug use-associated infections (IDU-AI) has risen; the University of Kentucky Infectious Diseases division (UKID) treated 401 endocarditis cases in 2018, of which 73% were IDU-AI. To curb overdose deaths, ease financial burden on healthcare, and improve patient outcomes, patients need tools for recovery from opioid use disorder (OUD). Access to OUD treatment in Kentucky and much of the US is limited. Poverty, unemployment, and legal issues are barriers. Methods UKID implemented a multi-disciplinary approach to expand access to medication assisted treatment (MAT). This is an ongoing study. Any patient ≥18 years old with IDU-AI and OUD is eligible for enrollment unless pregnant or incarcerated. At enrollment and at three additional time points, patients complete both a study specific and Government Performance and Results Act (GPRA) survey. Patients may start MAT and mental health counseling with UKID or be referred elsewhere and are eligible for transportation assistance and medical case management. Results To date, there have been 127 referrals. Of these, 87 (69%) were eligible and 54 enrolled (62% of eligible). Primary IVDU-AI includes HIV (n=4; 7%), HCV (n=5; 9%), HIV/HCV (n=3; 6%), endocarditis (n=32; 59%), and other (n=10; 19%). Patients are 48% male (n=26) and 91% white (n=91) with a median age of 34 years (IQR: 16); 35% are receiving MAT (n=19) with 14.8% (n=8) managed by UKID. Other service data are available for 51 patients. Naloxone was dispensed to 45 (88%) patients, 24 (47%) received relapse prevention services, 13 (25%) engaged in peer support, 9 (18%) participated in self-help groups, and 10 (20%) received transportation aid. Conclusion Increasing engagement in MAT and wrap-around services is an important touchpoint for OUD. We present a comprehensive program to achieve this for patients who would otherwise be discharged without follow-up for OUD. This program shows proof of concept that patients can be engaged in MAT by ID providers. Ongoing analysis will include longitudinal review of patient progress and outcomes, including hospital readmission, and a study to determine patients’ perceived impact on their quality of life. Disclosures All Authors: No reported disclosures
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B, Surprenant, Grimone K, Wagner T, Sarles-Whittlesey H, Jones E, Herman D, Stein M, and Sweet L. "A-153 Working Memory Performance and Brain Activity in the context of Opioid Withdrawal and Relapse." Archives of Clinical Neuropsychology 35, no. 6 (August 28, 2020): 947. http://dx.doi.org/10.1093/arclin/acaa068.153.

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Abstract Objective Working memory (WM) deficits are associated with opioid use disorder (OUD). However, little research addresses WM during withdrawal. We used the N-back WM paradigm to assess whether differences exist between persons in withdrawal versus stable opioid doses. We also examined whether N-back performance or associated brain activity during either withdrawal or satiation predict subsequent abstinence versus relapse. Method We evaluated N-Back performance and associated brain function of 20 OUD patients during 3 T fMRI. Participants were actively using opioids during the first scan (SOWS M = 8.10, SD = 9.22) and abstained 24 hours before the second scan (SOWS M = 28.26, SD = 11.64), buprenorphine treatment began afterwards. Twelve participants (age: M = 33.92, SD = 5.99) completed both scans and were included in within-subject contrasts. Sixteen participants (age: M = 34.38, SD = 5.38) completed at least one scan and were evaluated on whether brain activation or performance was associated with relapse. Results Paired-sample t-tests revealed no significant difference on N-back accuracy (0-back: t = 0.78, p = .45, d = 0.23; 2-back: t = −0.28, p = .78, d = 0.08) or brain activation (2-back versus 0-back) across regions of interest (ROIs) associated with WM in prior studies between satiated and abstinent assessments (ts < 0.5, ps > .05). Contrasting relapsing and abstinent groups at follow-up revealed no significant difference in N-back accuracy (0-back: t = −0.30, p = .77, d = 0.14; 2-back: t = 0.43, p = .67, d = 0.22) or associated ROI brain activation (ts < 1.29, ps > .05). Conclusion This is the first investigation of brain and behavioral measures of WM in opiate withdrawal and relapse. No significant differences were found, and effect sizes were small. Further research that investigates direct (compensatory activation) and task-indirect systems (default network, motivation) during cognitive challenges is needed.
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Olsen, J., J. Arnsten, T. Scott, F. Arias, C. Zhang, and M. Rivera Mindt. "The Role of Quality of Education in Neurocognitive Functioning in a Diverse Sample with Chronic Opioid Use Disorder." Archives of Clinical Neuropsychology 34, no. 7 (August 30, 2019): 1269. http://dx.doi.org/10.1093/arclin/acz029.36.

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Abstract Objective Literacy is a proxy for quality of education (QoE) and mediates ethnicity-related differences in neurocognitive (NC) performance in some populations (Manly et al., 2002; Rivera Mindt et al., 2008). However, it is unknown whether this relationship exists in the context of chronic opioid use disorder (OUD). This study examined the role of ethnicity, QoE, opioid use severity, and depression in predicting NC performance in a diverse sample of persons with OUD. Participants and Method This cross-sectional study included 74 adults with OUD (Age M = 40.3 [SD = 10.5]; Education M = 11.3 [2.5]; 24% female; 68% Latinx and 32% Non-Latinx White [NLW]). All participants completed comprehensive NC testing and psychiatric/substance use questionnaires. Variables included ethnicity (Latinx vs. Non-Latinx White), years of education, QoE (Wide Range Achievement Test, Third Edition; WRAT-3 Reading Standard Scores), opioid use severity (high vs. low OAT dose), current depression (Beck Depression Inventory, Second Edition; BDI-II Total Score), and demographically-corrected NC T-scores were computed and used for average domain T-scores (e.g., learning, memory, verbal fluency, executive function). Bivariate and ANCOVA analyses were used to compare ethnic groups. Results There were no significant group differences on opioid use severity or current depression (p’s > .05). However, compared to the NLW group, the Latinx group had lower years of education (M = 10.9 [SD = 1.7] vs. M = 12.2 [SD = 3.5]; t[72)] = 2.1, p < .05), QoE (M = 83.1 [SD = 13.6] vs. M = 94.8 [SD = 9.4]; t[72] = 3.8, p < .001), executive functioning (M = 42.0 [SD = 6.5] vs. M = 45.8 [SD = 8.5]; t[72) = 2.1, p < .05), and learning (M = 32.2 [SD = 8.2] vs. M = 37.8 [SD = 8.7]; t[72)] = 2.7, p < .05), with medium to large effect sizes (Cohen’s d > .50). The overall effect of ethnicity became non-significant for executive functioning after accounting for QoE (F[2,70] = 10.0, p = .002) and years of education (F[2,70)] = 16.8, p < .001). Conclusions The current study found that accounting for years of education and QoE attenuates some differences in NC performance between Latinx and Non-Latinx participants. References Manly, J. J., Jacobs, D. M., Touradji, P., Small, S. A., & Stern, Y. (2002). Reading level attenuates differences in neuropsychological test performance between African American and White elders. Journal of the International Neuropsychological Society, 8(3), 341-348. Mindt, M. R., Arentoft, A., Germano, K. K., D’Aquila, E., Scheiner, D., Pizzirusso, M., ... & Gollan, T. H. (2008). Neuropsychological, cognitive, and theoretical considerations for evaluation of bilingual individuals. Neuropsychology review, 18(3), 255-268.
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Alías-Ferri, Maria, Manuela Pellegrini, Emilia Marchei, Roberta Pacifici, Maria Concetta Rotolo, Simona Pichini, Clara Pérez-Mañá, et al. "New Psychoactive Substances Consumption in Opioid-Use Disorder Patients." Biology 11, no. 5 (April 22, 2022): 645. http://dx.doi.org/10.3390/biology11050645.

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(1) Background: Since the beginning of the 21st century, the large number and wide chemical variety of new psychoactive substances (NPS) that enter the market every year has become a public health problem. Given the rapidity with which the drug market is changing, many NPS are not clinically investigated and their effects and health risks are unknown. Drug testing is a very useful tool for this purpose, but, unfortunately, it is not very widespread in individuals with opioid-use disorder under detoxification treatment. The aim of this study is to investigate the use of illicit drugs and NPS in opioid-use disorder (OUD) patients on opioid agonist treatment. (2) Methods: A multicenter, descriptive, cross-sectional study was conducted at two addiction care services in Barcelona and Badalona, Spain. Urine samples were collected from OUD individuals attending these two centers, who anonymously donated a urine sample at the time of a periodical visit. Samples were analyzed by high-sensitivity gas chromatography-mass spectrometry (GC-MS) and ultra-high-performance liquid chromatography-high –resolution mass spectrometry (UHPLC-HRMS). (3) Results: Out of the 187 collected and analyzed urine samples, 27.3% were positive for any type of NPS and 8.6% were positive for new synthetic opioids, including fentanyl and its derivatives (NSO). Other frequently detected substances were benzodiazepines in 46.0% of samples, antipsychotics in 27.8% of samples, or cocaine and cannabis in 23.5% of samples. (4) Conclusion: A wide number of NPS, including NSO, have been detected in urine samples from an OUD population. A lack of NPS detection in standard drug screening among drug users can hide the identification of a potential public health problem.
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Warren, David, Amir Marashi, Arwa Siddiqui, Asim Adnan Eijaz, Pooja Pradhan, David Lim, Gary Call, and Mark Dras. "Using machine learning to study the effect of medication adherence in Opioid Use Disorder." PLOS ONE 17, no. 12 (December 15, 2022): e0278988. http://dx.doi.org/10.1371/journal.pone.0278988.

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Background Opioid Use Disorder (OUD) and opioid overdose (OD) impose huge social and economic burdens on society and health care systems. Research suggests that Medication for Opioid Use Disorder (MOUD) is effective in the treatment of OUD. We use machine learning to investigate the association between patient’s adherence to prescribed MOUD along with other risk factors in patients diagnosed with OUD and potential OD following the treatment. Methods We used longitudinal Medicaid claims for two selected US states to subset a total of 26,685 patients with OUD diagnosis and appropriate Medicaid coverage between 2015 and 2018. We considered patient age, sex, region level socio-economic data, past comorbidities, MOUD prescription type and other selected prescribed medications along with the Proportion of Days Covered (PDC) as a proxy for adherence to MOUD as predictive variables for our model, and overdose events as the dependent variable. We applied four different machine learning classifiers and compared their performance, focusing on the importance and effect of PDC as a variable. We also calculated results based on risk stratification, where our models separate high risk individuals from low risk, to assess usefulness in clinical decision-making. Results Among the selected classifiers, the XGBoost classifier has the highest AUC (0.77) closely followed by the Logistic Regression (LR). The LR has the best stratification result: patients in the top 10% of risk scores account for 35.37% of overdose events over the next 12 month observation period. PDC score calculated over the treatment window is one of the most important features, with better PDC lowering risk of OD, as expected. In terms of risk stratification results, of the 35.37% of overdose events that the predictive model could detect within the top 10% of risk scores, 72.3% of these cases were non-adherent in terms of their medication (PDC <0.8). Targeting the top 10% outcome of the predictive model could decrease the total number of OD events by 10.4%. Conclusions The best performing models allow identification of, and focus on, those at high risk of opioid overdose. With MOUD being included for the first time as a factor of interest, and being identified as a significant factor, outreach activities related to MOUD can be targeted at those at highest risk.
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Dissertations / Theses on the topic "Oud Performance"

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ASANTE, Eric Adom. "Dual work roles : the joint effect of hybrid entrepreneurs’ regulatory focus and wage work to entrepreneurial work enrichment on entrepreneurial performance." Digital Commons @ Lingnan University, 2018. https://commons.ln.edu.hk/otd/34.

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Hybrid entrepreneurial is phenomenal but remains under-studied in the management literature. This paper investigated the joint influence of hybrid entrepreneurs’ trait regulatory focus and wage work to entrepreneurial work enrichment (WE enrichment) on their entrepreneurial engagement and the subsequent proficient, adaptive, and proactive performance in entrepreneurial work. I first interviewed 16 hybrid entrepreneurs to obtain the understanding of their reasons for being in hybrid entrepreneurship, their regulatory focus tendencies, and the resources they transfer from wage work to entrepreneurial work. To validate the measurement scales of promotion and prevention focus, I conducted a pilot study among 66 hybrid entrepreneurs. Then, I conducted a multi-source questionnaire survey among 329 hybrid entrepreneurs and their entrepreneurial partners in Ghana. The final sample included 272 completed and matched responses. I used structural equation modeling of Mplus 7.4 to test the hypothesized model. Results of the questionnaire survey provided strong support to my hypothesized model. Promotion focus and prevention focus had positive and negative relationships with these three types of entrepreneurial performance, respectively. I also found that the opposite relationships of promotion focus and prevention focus with these three types of entrepreneurial performance were mediated by entrepreneurial engagement. Furthermore, hybrid entrepreneurs work across the wage-work and entrepreneurial roles, and I found that WE enrichment played a moderating role. Specifically, WE enrichment strengthened the positive relationship between promotion focus and entrepreneurial engagement as well as the positive indirect relationships between promotion focus and the three types of entrepreneurial performance through entrepreneurial engagement. In contrast, WE enrichment weakened the negative relationship between prevention focus and entrepreneurial engagement as well as the negative indirect relationships between prevention focus and the three types of entrepreneurial performance through entrepreneurial engagement. This research sheds light on how personality traits and dual-work context affect hybrid entrepreneurs’ entrepreneurial processes and performance outcomes. Thus, I provide theoretical implications for the literature of hybrid entrepreneurial and dual work roles. Further, this research offers important practical implications for hybrid entrepreneurs and their entrepreneurial partners, as well as investors.
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VICHETH, Pisey. "The impact of South-South FDI : knowledge spillovers from Chinese FDI to local firms in the Cambodian light manufacturing industries." Digital Commons @ Lingnan University, 2018. https://commons.ln.edu.hk/otd/33.

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The study of the extent to which incoming FDI results in ‘spillovers’ (technology, R&D, management practices and know-how) has so far yielded only mixed results, and research has largely been restricted to north-north and north-south interactions; this study develops a model of knowledge spillovers based on previous literature and extends inquiry into south-south FDI by investigating spillovers from Chinese FDI to the Cambodian garment and light manufacturing industries. Several significant factors including the nature and extent of FDI linkages, local industry absorptive capacity, nature of the network relationship, and local firms’ learning orientation have been found to influence the extent to which knowledge spillovers occur. These variables are integrated within this paper which develops a conceptual model of knowledge spillovers based on the Awareness-Motivation- Capability framework to examine knowledge spillovers derived through both horizontal and vertical linkages. One area of interest examined in the study is the FDI influence on domestic firms’ export performance since light manufacturing represents the most significant portion of Cambodia's total export products. The thesis, addresses two primary questions: (1) when, where and under what conditions are significant knowledge spillovers created? And (2) what are the effects of the spillovers on domestic companies' technological capability and export performance? The research contributes to the previous literature by further developing the theory on the realisation of knowledge spillovers as well as exploring the nature and channels of knowledge spillovers from South-South FDI in labour-intensive industry, an area of study previously unexplored. Our results show that knowledge spillovers occur through both horizontal and vertical linkages and Cambodian firms receive more spillovers from Chinese FDI than they do from FDI from developed countries.
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Bidgood, Lee, and Great Smokey Mountain Bluegrass Band. "Performance at Old Oak Festival." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/1064.

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Bos, Sunè. "Performance : it's in our nature." Diss., University of Pretoria, 2015. http://hdl.handle.net/2263/53350.

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Botanic gardens have always been about plants. The design of botanic gardens offers a unique window into how we humans have used and valued plants over the past several centuries. Man s relationship with, and attitude towards nature has been directly influenced by the economical, social and environmental conditions that prevailed during that era. This in turn has greatly influenced the way landscape design, and in turn botanical garden design, has been approached and shaped throughout the centuries as well as how man experiences the landscape and plants specifically. It became evident that man has the habit to submit control over nature, by pruning and shaping nature to be confined by manicured borders or edges. Whether these borders are created to form a romantic picture of nature or whether it is to perform certain ecological functions for the environment, these borders have the inherent ability to limit the potential of nature to grow on intuition and dampen its ability to perform as the living, changing, dynamic entity that it is. The design of most botanical gardens, including the design of the Pretoria National Botanical Garden, tend to comply with this idea of control over nature. This dissertation investigates the relationship between people and plants, as well as people and the landscape, within the Pretoria National Botanical Gardens, and focus on the redesign of a part thereof by using the regional landscape as the link between them. This new design is approached in a way that celebrates the extraordinary qualities of plants without limiting the potential of plants to perform in its own unique way. This was done by first looking at current theories in the landscape architectural profession on how to design with change as the medium, and second to find inspiration on designing the change and movement of a living entity (nature) and the way to guide this performance, through another performance art: dance. The landscape design of the botanical garden challenges the way we interact with nature in a landscape in order to restore the interrelationships among plants, animals and humans and clearly communicate to the audience the fact that nature is alive, flexible and changing. It also shows that nature shouldn't be submitted to full control, and that this flexibility of nature is one of its greatest assets.
Mini Dissertation (ML(Prof))--University of Pretoria, 2015.
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Chan, Kit-bong, and 陳傑邦. "A study of contract management process and performance for outsourcingcontracts." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42555243.

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Nguyen, Pham Hoanh Son. "Reexamen de la relation internationalisation - performance : une analyse tridimensionnelle." Lyon 3, 2010. https://scd-resnum.univ-lyon3.fr/out/theses/2010_out_nguyen_phs.pdf.

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L’objectif de cette recherche est de déterminer la nature de la relation entre l’internationalisation et la performance (RIP) de l’entreprise, sujet débattu depuis quarante ans, mais pourtant resté sans réponse concluante. Pour y parvenir, nous élaborons une approche tridimensionnelle à deux phases d’analyses : analytique et interactive. Dans la première, nous nous focalisons sur le degré d’internationalisation et sur l’impact individuel de chaque dimension d’internationalisation pour déterminer la nature des «parties» de la RIP. Dans la deuxième, l’accent est mis sur le processus d’internationalisation et sur l’impact interactif des trois dimensions - largeur, profondeur, dispersion - d’internationalisation pour déterminer la nature de l’«ensemble» de la RIP. Cette recherche, s’appuyant sur un échantillon de 69 grandes entreprises internationales françaises pour la période 2001-2007, clarifie la nature de la RIP en apportant les nouveaux éléments théoriques et empiriques suivants : (i) Chaque dimension d’internationalisation entretient sa propre relation curvilinéaire à trois phases avec la performance ; (ii) La nature de la RIP est essentiellement régie par la nature de la relation entre la profondeur d’internationalisation et la performance, étant par conséquent curvilinéaire, ayant trois phases et formant un S horizontal ; (iii) La relation en S horizontal entre l’internationalisation et la performance est modérée par la largeur d’internationalisation et par la dispersion d’internationalisation ; (iv) Le processus d’internationalisation l’emporte sur le degré d’internationalisation dans l’explication de la performance
The objective of this research is to determine the nature of the relationship between internationalization and performance (RIP) of firm, subject debated for forty years without conclusive response. To achieve this, we develop a three-dimensional approach with two phases : analytical and interactive analysis. In the first, we focus on the degree of internationalization and the individual impact of each dimension of internationalization to determine the nature of the "parts" of the RIP. In the second, we focus on the process of internationalization and the interactive impact of three dimensions - breadth, depth, dispersion - of internationalization to determine the nature of the "whole" of the RIP. This research, based on a sample of 69 French international enterprises over the period 2001-2007, clarifies the nature of the RIP by providing the following new empirical and theoretical elements: (i) Each dimension of internationalization maintains a curvilinear and three-stage relationship with performance; (ii) The nature of the RIP is mainly governed by the nature of the relationship between the depth of internationalization and performance, thus being curvilinear, with three phases and forming a horizontal S; (iii) The horizontal S-curve relationship between internationalization and performance is moderated by the breadth and the dispersion of internationalization; (iv) The process of internationalization explain firm performance better than the degree of internationalization
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Chan, Kit-bong. "A study of contract management process and performance for outsourcing contracts." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42555243.

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Foster, Dennis Geoffrey. "Individual performance in management buy-out teams." Thesis, University of Hertfordshire, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365979.

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The purpose of the research was to study individual team members performances within a context determined by the culture of the top MBO team and the organisational system. In order to achieve this objective the study also investigates and describes the relevant business factors/outcomes which determine the structure/culture of MBOs as a context for individual team members to interpret. A review of MBO, team, team working, culture, climate and motivation theory literature provided the basis for identifying the underlying psychological variables relating to individual performance. These variables were incorporated into a model that established a theoretical framework for generating hypotheses and describing individuals performances in their MBO teams. The research design was based on exploratory and explanatory studies. An exploratory study (study one) based on semi-structured interviewing techniques explored the behavioural, organisational and performance issues in five MBOs, as a basis for justifYing the psychological variables used by individual team members to evaluate and interpret their context. Content analysis was applied to the interview results in order to elicit the relevant themes. In relation to the main explanatory study (study two) the methodology adopted was a postal questionnaire sent to a selected sample of MBO team members. The questionnaire consisted of items that formed scales which measured the psychological variables forming the research model. These measures were tested for reliability using Cronbach's Alpha. Factor analysis of the questionnaire items confirmed the latent (psychological) variables. The hypotheses formulated from the research model were tested using correlation, partial correlation and regression analysis techniques. Independent t-tests identified relationships between personal/organisational factors and the psychological variables in the model. Results from study one confirmed that the organisational-behavioural and performance issues in MBOs were similar to those encountered in other types of organisations. This validated using the organisational-behavioural literature to determine the psychological variables that relate to individual performance in MBO teams. The results from the main study (study two) identified a number of important factors relating to individuals performance in their MBO teams. It was established from study one that MBO performance in relation to financial and organisational objectives was instrumental in determining the behavioural and organisational context individual team members interpret. Team members interpret their context by aligning teams expectations of their behaviours with, preferences for working as collectivists and the perceptual effects of the ~emands, constraints, supports and opportunities of working in their organisations. This resulted m team members feeling challenge, meaning, trust, support, freedom and reward from working in their organisations. These feelings represented individuals psychological climates (or states) which, operating principally through the dimensions of challenge and meaning, were found to be instrumental in determining their performances in their organisations. Team members evaluation of their expected behaviours in their teams and its alignment with their preferences for working as collectivists and internalised values determined their motivation to affirm their collective selfconcepts in their teams. The effects of team members organisational systems determined behaviour-consequence connections which motivated them to affinn their task specific selfconcepts in their teams. The study highlighted limitations in contemponuy cognitive based theories (i.e. expectancy and goal setting) by demonstrating the influence of context interpretation on personal performance. Cognitive based theories fail to reflect individuals capacity to work flexibly (by coping) within a dimension of collectivism-individualism and also ignore their motivation to express personal identities and internalised values. In this respect cognitive based theories were seen to be enshrined in hedonism thus failing to recognise that collectivist team members also behave in accordance with their personal values (or self-concepts) or collective identities.
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Torres, Alessandra Lee Michelle. "OUT OF BODY." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/793.

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This thesis explores the evolution of Alessandra Torres's work, from her early performances and installations, to her latest work with surrogate bodies, as she challenges the relationship between artist and their creation, body and object, and audience and art. Examining the work of artists such as Cindy Sherman, Rebecca Horn and Marina Abramovic, Torres explores the transformative capabilities of interactive sculpture and live performance. Join Ms. Torres as she transforms herself into everything from a paintbrush to a serpent, in her ongoing exploration of the body's ability to adapt and evolve.
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Sjöberg, Andreas. "BSR Prestandaverktyg / BSR Performance tool : Prestandamätning via diagnosuttag över CAN / Performance measure via diagnostic socket over CAN." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-5428.

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This abstract describes the bachelor degree thesis in computer technology at Växjö University. The company BSR in Växjö has requested an application that can measure a cars performance, with attributes like acceleration times and engine power estimation. The communication between car and computer is via the USB port on the computer and the OBD-II socket on the car with the network protocol CAN, controller area network. Cars from VAG have been the primary focus group and the application has been tested on a Volkswagen Passat CC from 2009. The system is developed in the programming language C# in the environment Visual Studio with the framework .NET. This report describes the network protocol CAN, which is an essential part in understanding how thecommunication works. Also approach, analyze and implementation is described.

 


 

Denna rapport beskriver ett examensarbete för högskoleingenjörsexamen i datorteknik vid Växjö universitet. Företaget BSR i Växjö har önskat ett program som kan mäta en bils prestanda, med attribut som accelerationstider och effektuppskattning. Kommunikationen mellan bil och dator sker via USB-port på datorn och OBD-II-uttag på bilen med protokollet CAN, controller area network. Bilar från VAG har i första hand varit målgruppen och programmet har testats på en Volkswagen Passat CC från 2009. Systemet har utvecklats i programspråket C# och i utvecklingsmiljön Visual Studio med ramverket .NET. Rapporten beskriver nätverksprotokollet CAN, vilket är en väsentlig del i att förstå hur kommunikationen går till. Även tillvägagångssätt, analys och implementering beskrivs.

 

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Books on the topic "Oud Performance"

1

Barnard, Don. Growing old disgracefully: Performance poetry. Leamington Spa: Semicolon Press, 2000.

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McMahon, Brian, and Annemari Ferreira. Old Norse Poetry in Performance. London: Routledge, 2022. http://dx.doi.org/10.4324/9780367809324.

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Stone, Kay F. Burning brightly: New light on old tales told today. Peterborough, Ont: Broadview Press, 1998.

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Hansen, Shirley J. Performance contracting: Expanding horizons. Lilburn, GA: Fairmont Press, 1998.

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Hans, Solli-Saether, and Gottschalk Petter 1950-, eds. Managing IT outsourcing performance. Hershey, PA: Business Science Reference, 2010.

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Sharda, Kirti. Configurations of business process outsourcing firms and organizational performance. Ahmedabad: Indian Institute of Management, 2009.

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What every manager should know about training, or, "I've got a training problem"-- and other odd ideas. Belmont, Calif: Lake Publishing Co., 1992.

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Mager, Robert Frank. What every manager should know about training, or, "I've got a training problem"-- and other odd ideas. Atlanta, GA: Center for Effective Performance, 1992.

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Montana. Legislature. Office of the Legislative Auditor. State agency use of contracted services: Performance audit. Helena, Mont. (Rm. 135, State Capitol, Helena 59620): The Office, 1987.

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Baldwin, Laura H. Strategic sourcing: Measuring and managing performance. Santa Monica, CA: RAND, 2000.

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Book chapters on the topic "Oud Performance"

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Bartley, Sean. "“You’re out!”." In Sporting Performances, 17–29. Abingdon, Oxon ; New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429265167-1.

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Entwistle, Alice, Lena Šimić, and Emily Underwood-Lee. "Thinking Back through Our Mothers." In Mothering Performance, 15–28. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003231073-3.

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Fishman, H. Charles. "Our Challenge." In Performance-Based Family Therapy, 179–92. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003161257-11.

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Hilton, Julian. "Out of Memory: Towards a New Poetics of Performance (ii)." In Performance, 146–58. London: Macmillan Education UK, 1987. http://dx.doi.org/10.1007/978-1-349-18953-3_7.

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Reynolds, Jack. "Time Out of Joint." In Performance and Temporalisation, 101–13. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137410276_8.

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Lee, Aram, Anais Borie, and Ottonie von Roeder. "Inside Out." In Performance Making and the Archive, 193–206. London: Routledge India, 2022. http://dx.doi.org/10.4324/9780429281921-17.

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Nicklin, Hannah. "Sounding Out the City." In Performance and Civic Engagement, 135–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66517-7_9.

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Mills, Sara. "Gender and Performance Anxiety at Academic Conferences." In Speaking Out, 61–80. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230522435_4.

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Wilson, Martha. "Out of the Furnace and into the Cyberplan." In Performance and Place, 34–44. London: Palgrave Macmillan UK, 2006. http://dx.doi.org/10.1057/9780230597723_4.

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Valerie, Susanne. "Black Out." In Actors and the Art of Performance: Under Exposure, 34–39. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137596345_4.

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Conference papers on the topic "Oud Performance"

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"Microstructure of Two-Thousand-Year Old Lightweight Concrete." In SP-186: High-Performance Concrete: Performance and Quality of Concrete Structures. American Concrete Institute, 1999. http://dx.doi.org/10.14359/5556.

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Son, Myungbae, and Sung-Eui Yoon. "Timeline scheduling for out-of-core ray batching." In HPG '17: High-Performance Graphics. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3105762.3105784.

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Baert, Jeroen, Ares Lagae, and Philip Dutré. "Out-of-core construction of sparse voxel octrees." In the 5th High-Performance Graphics Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2492045.2492048.

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Yang, Chih-Jen, Ting-Yi Cho, Kun-Chung Tien, Chun-Liang Lin, and Chung-Chih Wu. "OLEDs with Enhanced Display Performances." In Organic Materials and Devices for Displays and Energy Conversion. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/omd.2007.otud2.

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"Back cover (inside and out)." In 2004 Workshop on High Performance Switching and Routing, 2004. HPSR. IEEE, 2004. http://dx.doi.org/10.1109/hpsr.2004.1303927.

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Ramakrishnan, Raghu. "Scale-out Beyond Map-Reduce." In 2015 IEEE 22nd International Conference on High Performance Computing (HiPC). IEEE, 2015. http://dx.doi.org/10.1109/hipc.2015.59.

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Win, Swe Swe. "Challenging Our Societal Performance." In International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/156715-ms.

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Haidar, Azzam, Khairul Kabir, Diana Fayad, Stanimire Tomov, and Jack Dongarra. "Out of memory SVD solver for big data." In 2017 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2017. http://dx.doi.org/10.1109/hpec.2017.8091029.

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Thompson, Barry C., and Jean M. J. Fréchet. "Design of Conjugated Polymers for the Optimization of Solar Cell Performance." In Organic Materials and Devices for Displays and Energy Conversion. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/omd.2007.otuc2.

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Boureima, Ismael, Manish Bhattarai, Maksim E. Eren, Nick Solovyev, Hristo Djidjev, and Boian S. Alexandrov. "Distributed Out-of-Memory SVD on CPU/GPU Architectures." In 2022 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2022. http://dx.doi.org/10.1109/hpec55821.2022.9926288.

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Reports on the topic "Oud Performance"

1

Ferson, Wayne, Suresh Nallareddy, and Biqin Xie. The "Out of Sample" Performance of Long-run Risk Models. Cambridge, MA: National Bureau of Economic Research, February 2012. http://dx.doi.org/10.3386/w17848.

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Hayes, Sarah M. Performance Improvement Strategy FY14-18 Create Our Future Strengthen the Core. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1077033.

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Author, Not Given. Performance House: A Cold Climate Challenge Home, Old Greenwich, Connecticut (Fact Sheet). Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105083.

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Skifton, Richard, Lance Hone, Scott Riley, Brian Jaques, and Lan LI. Out-of-pile performance of High Temperature Irradiation Resistant and Cladding Thermocouples. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1668372.

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Gottuk, D. T., J. L. Scheffey, F. W. Williams, J. E. Gott, and R. J. Tabet. Optical Fire Detection (OFD) for Military Aircraft Hangars: Final Report on OFD Performance to Fuel Spill Fires and Optical Stresses. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada405478.

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Cintron, Fernando J. Performance evaluation of LTE device-to-device out-of-coverage communication with frequency hopping resource scheduling. Gaithersburg, MD: National Institute of Standards and Technology, July 2018. http://dx.doi.org/10.6028/nist.ir.8220.

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Mack, Kyle. Sour Grapes While You're Down and Out: Self-Serving Bias and Applicant Attributions for Test Performance. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5323.

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Carrasco, Marine, and N'golo Koné. Test for Trading Costs Effect in a Portfolio Selection Problem with Recursive Utility. CIRANO, January 2023. http://dx.doi.org/10.54932/bjce8546.

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This paper addresses a portfolio selection problem with trading costs on stock market. More precisely, we develop a simple GMM-based test procedure to test the significance of rading costs effect in the economy with a áexible form of transaction costs. We also propose a two-step procedure to test overidentifying restrictions in our GMM estimation. In an empirical analysis, we apply our test procedures to the class of anomalies used in Novy-Marx and Velikov (2016). We show that transaction costs have a significant effect on investors behavior for many anomalies. In that case, investors significantly improve the out-of-sample performance of their portfolios by accounting for trading costs.
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Stanley, Louise, and Inke Näthke. School of Life Sciences Culture Strategy 2022-2025. University of Dundee, July 2022. http://dx.doi.org/10.20933/100001258.

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We expect performance at the highest standard for everything we do. This must be supported by an excellent culture where contributions from everyone in our community are valued and recognised: academics with responsibilities in research, learning and teaching, and professional support. For staff and their work to flourish, everyone needs to feel part of a creative, open, equitable, and inclusive environment where we actively help and support each other to succeed and reach our full potential. A positive culture in our school is the foundation for our high­ performance community. It sustains our ambitious goals to train and educate the future generation of scientists and perform world-leading research with a positive impact on the world. We expect everyone in our community to work to the highest standard of integrity, not only in how we conduct our teaching and research, but also how we work together, treat each other and how we interact with other stakeholders. This document outlines our strategy for culture in the School.
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Vine, Allyn Collin, and W. Maurice Ewing. Performance of bathythermograph with hand winch. Woods Hole Oceanographic Institution, December 2022. http://dx.doi.org/10.1575/1912/29561.

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On May l, 1942 a series of towing tests were made off New London to determine how satisfactory a small hand operated winch would be. The boat was an 83 ft. Coast Guard patrol boat with the end of the boom about 3 feet outboard and 15 feet forward of the stern. Towing tests were made at 8, 12, and 18 knots. At 18 knots two methods were tried: A. Those where the BT was dropped from the end of the boom in the usual manner. B. Those where the BT was dropped from the bow of the boat. This method gave a considerably greater depth of water for the same amount of wire out than the former method. In a longer boat where the BT can be carried 100 to 150 ft. ahead of the boom this additional depth may amount to 100 feet.
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