Journal articles: '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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Pashchenko, Oleksandra, Daniel J. Bromberg, Kostyantyn Dumchev, Katherine LaMonaca, Iryna Pykalo, Myroslava Filippovych, Denise Esserman, et al. "Preliminary analysis of self-reported quality health indicators of patients on opioid agonist therapy at specialty and primary care clinics in Ukraine: A randomized control trial." PLOS Global Public Health 2, no. 11 (November 2, 2022): e0000344. http://dx.doi.org/10.1371/journal.pgph.0000344.

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International agencies recommend integrating addiction treatment into primary care for people who inject drugs (PWID) with opioid use disorder (OUD). Empirical data supporting integration that incorporates comprehensive health outcomes, however, are not known. For this randomized controlled trial in Ukraine, adult PWID with OUD were randomized to receive opioid agonist therapy (OAT) in specialty addiction treatment clinics (SATC) or to primary care clinics (PCCs). For those randomized to PCC, they were subsequently allocated to PCCs where clinicians received pay-for-performance (P4P) incentives (PCC with P4P) or not (PCC without P4P). Participating cities had one of each of the three intervention sites to control for geographic variation. Ongoing tele-education specialty training (OAT, HIV, tuberculosis) was provided to all PCCs. While the primary outcome for the parent trial focuses on patient medical record data, this preliminary analysis focuses on assessment of self-reported achievement of nationally recommended quality health indicators (QHIs) which is summed as a composite QHI score. Secondary outcomes included specialty and primary care QHI subscores. This study occurred from 01/20/2018-11/1/2020 with 818 of 990 randomized participants having complete self-reported data for analysis. Relative to SATC (treatment as usual), the mean composite QHI score was 12.7 (95% CI: 10.1–15.3; p<0.001) percentage points higher at PCCs; similar and significantly higher scores were observed in PCCs compared to SATCs for both primary care (PCC vs SATC: 18.4 [95% CI: 14.8–22.0; p<0.001] and specialty (PCC vs SATC: 5.9 [95% CI: 2.6–9.2; p<0.001] QHI scores. Additionally, the mean composite QHI score was 4.6 (95% CI: 2.0–7.2; p<0.001) points higher in participants with long term (>3 months) experience with OAT compared to participants newly initiating OAT. In summary, PWID with OUD receive greater primary care and specialty healthcare services when receiving OAT at PCCs supported by tele-education relative to treatment as usual provided in SATCs. Clinical trial registration: This trial was registered at clinicaltrials.gov and can be found using the following registration number: NCT04927091.

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ALSUDANI, Mustafa Abbas Ali. "DIVERSITY OF MUSICAL INSTRUMENTS IN THE IRAQI SONG." RIMAK International Journal of Humanities and Social Sciences 04, no. 04 (July 1, 2022): 689–703. http://dx.doi.org/10.47832/2717-8293.18.44.

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Musical instruments have an important role in the performance of melodies associated with the lyrical text or purely musical compositions. Thousands of years ago, musical instruments went through stages of development that included their manufacture or the way they were played, in order to reach new tone-colors that mimic the reality and ambition of artists and the public on their various orientations in times and successive civilizations. Arabic and Iraqi music has an active role in the development of musical instruments since the civilization of Mesopotamia. The Iraqi song accompanied the various segments of Iraqi society and honestly expressed the various political, social and other conditions that passed in this country. And the musical instruments had an indispensable role in producing songs, and the traditional Arabic musical instruments such as the Qanoon, the Oud and the Nai had the most prominent role in the types of musical instruments used, despite the opening up to Western musical instruments, in line with the development of the musical form of the Iraqi song. The research included a study on the history of singing and traditional Arab and Iraqi musical instruments and a brief explanation of them. The research included a study on the history of singing and traditional Arabic and Iraqi musical instruments and a brief explanation of them, and the second topic was on the development of the musical form of Iraqi song and Western musical instruments in it. Then the researcher collected thirteen models representing the Iraqi songs within the period of the research limits and set a special analytical method whose parts included identifying the names of the musical instruments used, their classification, scheme of performance, their origins and finally the musical form of the model. The expansion of the Iraqi song form imposed the use of new musical instruments with non-consumable tone- colors, and the way these new instruments performed the synergy of traditional Arab instruments in presenting the song in line with the development of musical and lyrical art and in line with the trends of Iraqi artists. All Western and traditional musical instruments participated in group playing, and Eastern instruments had a large part in the performance of solo playing, in addition to some other Western instruments.

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Bibi, Shawana, Janis Breeze, Norma Terrin, and Jonathan Davis. "59473 Clinical and demographic predictors of the need for pharmacotherapy in Neonatal Abstinence Syndrome (NAS)." Journal of Clinical and Translational Science 5, s1 (March 2021): 145. http://dx.doi.org/10.1017/cts.2021.771.

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ABSTRACT IMPACT: This work has the potential to help clinicians decide which infants exposed to in utero opioids, will need to be treated early or can be discharged home early based on their risk, thus reducing prolonged hospitalization OBJECTIVES/GOALS: To develop and validate a prediction model with inclusion of clinical and demographic risk factors to identify infants with NAS likely to need pharmacotherapy. METHODS/STUDY POPULATION: A pooled cohort of 761 infants from 5 different studies including 2 trials and 3 observational cohorts will be used to develop the model.All infants >than or equal to 37 weeks gestational age born to mothers with history of OUD will be included. Infants with congenital disorders and severe medical and surgical illnesses will be excluded. Multivariable mixed effects logistic regression modeling will be performed to predict the need for pharmacologic treatment for NAS. Candidate variables will be included based on clinical knowledge and previously published data. Model performance will be evaluated by measuring discrimination using Area Under the Curve (AUC) statistics and calibration. Model will be internally validated using boot strap validation. RESULTS/ANTICIPATED RESULTS: Pending data analysis DISCUSSION/SIGNIFICANCE OF FINDINGS: Opioid Use Disorder in pregnancy has resulted in concurrent rise in NAS incidence. NAS affects opioid exposed infants variably and accurate prediction of its severity and need for treatment remains elusive. Known clinical and demographic factors can predict the need for NAS therapy in opioid exposed infants, aiding clinical decision making.

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Cai, Tian, Li Xie, Shuo Zhang, Muge Chen, Di He, Amitesh Badkul, Yang Liu, et al. "End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins." PLOS Computational Biology 19, no. 1 (January 18, 2023): e1010851. http://dx.doi.org/10.1371/journal.pcbi.1010851.

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Systematically discovering protein-ligand interactions across the entire human and pathogen genomes is critical in chemical genomics, protein function prediction, drug discovery, and many other areas. However, more than 90% of gene families remain “dark”—i.e., their small-molecule ligands are undiscovered due to experimental limitations or human/historical biases. Existing computational approaches typically fail when the dark protein differs from those with known ligands. To address this challenge, we have developed a deep learning framework, called PortalCG, which consists of four novel components:(i) a 3-dimensional ligand binding site enhanced sequence pre-training strategy to encode the evolutionary links between ligand-binding sites across gene families; (ii) an end-to-end pretraining-fine-tuning strategy to reduce the impact of inaccuracy of predicted structures on function predictions by recognizing the sequence-structure-function paradigm; (iii) a new out-of-cluster meta-learning algorithm that extracts and accumulates information learned from predicting ligands of distinct gene families (meta-data) and applies the meta-data to a dark gene family; and (iv) a stress model selection step, using different gene families in the test data from those in the training and development data sets to facilitate model deployment in a real-world scenario. In extensive and rigorous benchmark experiments, PortalCG considerably outperformed state-of-the-art techniques of machine learning and protein-ligand docking when applied to dark gene families, and demonstrated its generalization power for target identifications and compound screenings under out-of-distribution (OOD) scenarios. Furthermore, in an external validation for the multi-target compound screening, the performance of PortalCG surpassed the rational design from medicinal chemists. Our results also suggest that a differentiable sequence-structure-function deep learning framework, where protein structural information serves as an intermediate layer, could be superior to conventional methodology where predicted protein structures were used for the compound screening. We applied PortalCG to two case studies to exemplify its potential in drug discovery: designing selective dual-antagonists of dopamine receptors for the treatment of opioid use disorder (OUD), and illuminating the understudied human genome for target diseases that do not yet have effective and safe therapeutics. Our results suggested that PortalCG is a viable solution to the OOD problem in exploring understudied regions of protein functional space.

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Araújo, Ítalo Robert da Silva, and Alexsander Jorge Duarte. "Criação-performance partilhada em música." ouvirOUver 15, no. 2 (March 10, 2020): 552–67. http://dx.doi.org/10.14393/ouv-v15n2a2019-46350.

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Este trabalho dedica-se ao estudo de práticas performativas coletivas nas quais o som, com intenção musical, é usado como material para a criação em tempo real. Trata-se de um tipo de prática musical em grupo onde a performance e a criação são assumidas pelos agentes como indissociáveis e que estão conotadas com formas de adjetivação da música como "improvisada", "livre", "experimental" e/ou "espontânea". Estes modos de fazer musical, diluidores da dicotomia compositor/intérprete, oferece outros valores ao processo de performance musical como "musicar" sem materiais musicais pré-concebidos. A pesquisa parte de um trabalho etnográfico com dois grupos praticantes deste modelo, sendo um no Brasil e outro em Portugal, e o modelo teórico de análise utilizado assenta-se no conceito da imprevisibilidade e no Paradigma da Complexidade que problematiza os conceitos de "ordem" e "desordem".

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Tonial, Renan Bonamigo, João Luis Zeni Montenegro, Claudionor Guedes Laimer, and Júlio César Ferro de Guimarães. "Performance Esportiva ou Performance Administrativa: O Dilema dos Gestores de um Clube de Futebol Brasileiro." PODIUM Sport, Leisure and Tourism Review 5, no. 3 (September 1, 2016): 128–43. http://dx.doi.org/10.5585/podium.v5i3.171.

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Shaw, Jennifer. "New Performance Sources and Old Modernist Productions: Die Jakobsleiter in the Age of Mechanical Reproduction." Journal of Musicology 19, no. 3 (2002): 434–60. http://dx.doi.org/10.1525/jm.2002.19.3.434.

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Although Schoenberg certainly regarded his most important wartime composition, the half-finished oratorio Die Jakobsleiter, as an autonomous and performable work, his conception of the piece changed dramatically over the three decades that it remained a "work in progress." Yet recent productions confirm a remarkable consistency of interpretation, based less on the Schoenberg/Winfried Zillig-orchestratedUrtext than on a 1980 performance conducted by Boulez. This "definitive" commercial release has not only dictated the parameters of productions that have followed but has erased from the record several earlier performances of the work, including the only version that Schoenberg heard and authorized. Two performance sources, both held in collections in Vienna but not yet discussed in published studies, may prove to be extremely significant for future performances of the oratorio. The first, Schoenberg's libretto manuscript for his oratorio, contains an extended concept sketch for the musical and dramatic climax. The second, a copy of the published libretto, includes extensive annotations in Alban Berg's hand which record aspects of Schoenberg's rehearsals for the premiere performance of the oratorio in 1921. Both sources highlight Schoenberg's and Berg's sensitivity to the innovative musical language of the oratorio, its fragmentary form, and its problematic literary style, yet both also suggest novel approaches to its realization in 21st-century productions.

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Miquel Baldellou, Marta. "How old is Miss Havisham?" Age, Culture, Humanities: An Interdisciplinary Journal 3 (January 1, 2018): 57–93. http://dx.doi.org/10.7146/ageculturehumanities.v3i.130155.

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The characters of Miss Havisham in Charles Dickens’s Great Expectations and Norma Desmond in Billy Wilder’s Sunset Boulevard address a matrix of age, gender, and performance through significant points of intertextuality. They epitomize what Anne Morey has referred to as “the elegiac female grotesque” to depict older women’s overstated performances of age and gender; these performances can be interpreted as ambivalent, insofar as they personify the abjection of female aging, but they also subvert the dictates of age imposed on women. Given the transformative quality of performance that characterizes both age and gender, critics such as Deborah Jermyn have argued for the need to revisit representations of aging women with special insight into their performative and, ultimately, transformative dimensions. With this purpose in mind, this article analyzes the performances of age and gender that these two classic characters exhibit, examines how they respectively overstate age and deny it, and reveals how they represent an ambivalent dimension of age performativity—acting age and acting against age—which still prevails in current cultural representations of female aging.

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Ovando, Laura Maria Koopman, and Tatiana Vieira Couto. "Atividades psicomotoras como intervenção no desempenho funcional de idosos hospitalizados." O Mundo da Saúde 35, no. 2 (June 5, 2010): 176–82. http://dx.doi.org/10.15343/0104-7809.20102176182.

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Waldmann, C., M. Tamburri, R. D. Prien, and P. Fietzek. "Assessment of sensor performance." Ocean Science Discussions 6, no. 2 (July 31, 2009): 1687–716. http://dx.doi.org/10.5194/osd-6-1687-2009.

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Abstract. There is an international commitment to develop a comprehensive, coordinated, and sustained ocean observation system. However, a foundation for any observing, monitoring, or research effort is effective and reliable in situ sensor technologies that accurately measure key environmental parameters. Ultimately, the data used for modeling efforts, management decisions, and rapid responses to ocean hazards are only as good as the instruments that collect them. There is also a compelling need to develop and incorporate new or novel technologies to improve all aspects of existing observing systems and meet various emerging challenges. Assessment of Sensor Performance was a cross-cutting issues session at the international OceanSensor08 workshop in Warnemünde, Germany. The discussions were focused on how best to classify and validate the instruments required for effective and reliable ocean observations and research. The following is a summary of the discussions and conclusions drawn from this workshop, which specifically addresses the characterization of sensor systems, technology readiness levels, verification of sensor performance, and quality management of sensor systems.

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Stein, Roberto, and Orlando E. Contreras-Pacheco. "Optimizing the performance of mean-variance portfolios in various markets: an “old-school” approach." Investment Management and Financial Innovations 15, no. 1 (March 2, 2018): 190–207. http://dx.doi.org/10.21511/imfi.15(1).2018.17.

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The authors study the performance of mean-variance optimized (MVO) equity portfolios for retail investors in various markets in the U.S. and around the world. Actively managed equity mutual funds have relatively high fees and tend to underperform their benchmark. Index funds such as exchange traded funds still charge appreciable fees, and only deliver the performance of the benchmark. The authors find that MVO portfolios are relatively easy to manage by a retail investor, and that they tend to outperform their benchmark or, at worst, equal its performance, even after adjusting for risk. Moreover, they show that the performance of these funds is not particularly sensitive to the frequency at which they are rebalanced so that, in the limit, an investor might have to rebalance his/her portfolio only once a year. This last finding translates into very low trading costs, even for retail investors. Thus, the authors conclude that MVOs offer an easy, cheap alternative to invest in the world’s equity markets.

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Greier, K., and L. Ressle. "Sensomotorische Feedbackleistung bei adipösen und normalgewichtigen 11- 15-jährigen Schülerinnen und Schülern." Deutsche Zeitschrift für Sportmedizin 2012, no. 02 (February 1, 2012): 36–40. http://dx.doi.org/10.5960/dzsm.2011.063.

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Novotná, A., A. Svitáková, J. Schmidová, J. Přibyl, and H. Vostrá-Vydrová. "Variance components, heritability estimates, and breeding values for performance test traits in Old Kladruber horses." Czech Journal of Animal Science 61, no. 08 (August 23, 2016): 369–76. http://dx.doi.org/10.17221/87/2015-cjas.

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Frantzen, Allen J. "DRAMA AND DIALOGUE IN OLD ENGLISH POETRY: THE SCENE OF CYNEWULF'SJULIANA." Theatre Survey 48, no. 1 (April 25, 2007): 99–119. http://dx.doi.org/10.1017/s0040557407000385.

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InThe Semiotics of Performance, Marco de Marinis notes that the field of performance studies has greatly expanded the traditional categories of drama and theatre. “It is obvious,” he writes, “that we are dealing with a field that is far broader and more varied than the category consisting exclusively oftraditional stagings of dramatic texts, to which some scholars still restrict the class of theatrical performances.” A few scholars of early theatre history have embraced expanded categories of performance. Jody Enders's “medieval theater of cruelty,” for example, rests on a concept of “atheoryof virtual performance” that translates “into actual medieval dramatic practice.” Carol Symes's study of the “dramatic activity” suggested by medieval French manuscripts identifies “a vital performative element within the surrounding culture.” Both writers have shown how new ideas of performance enlarge the category beyond the “traditional stagings” described by de Marinis.

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Mizumoto, Atsushi, Hikaru Ihira, Keitaro Makino, Shigeyuki Saitoh, Hirofumi Ohnishi, and Taketo Furuna. "Physical Activity during Winter in Old-Old Women Associated with Physical Performance after One Year: A Prospective Study." Current Gerontology and Geriatrics Research 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/253451.

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Background. The aim of this study was to evaluate whether the decline of physical activity during winter influences physical performances (after 1 year) in old-old women.Methods. Fifty-three Japanese women (mean age: 78.4 ± 3.2 years) participated in this study. Data of physical activity was collected by using an accelerometer at baseline and 3-month follow-up, and participants who decreased step counts in this period were defined as declining groups. We measured grip strength, knee extensor strength, total length of the center of gravity, hip walking distance, and maximum walking speed to evaluate physical performances at baseline and 1-year follow-up. Repeated-measures analysis of variance determined the difference in physical performance between declining groups and maintenance group with maintained or improved step counts.Results. Daily step counts for 22 older women (41.5%) decreased during winter. A statistically significant interaction effect between group and time was found for maximum walking speed (F(1,50)=5.23,p=0.03).Post hoccomparisons revealed that walking speed in the maintenance group significantly increased compared with baseline (p=0.01); the declining group showed no significant change (p=0.44).Conclusion. Change of physical activity during winter influences the physical performance level after 1 year in community-dwelling old-old women, particularly its effect on maximum walking speed.

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Cutlip, Robert G., Brent A. Baker, Ken B. Geronilla, Michael L. Kashon, and John Z. Wu. "The influence of velocity of stretch–shortening contractions on muscle performance during chronic exposure: age effects." Applied Physiology, Nutrition, and Metabolism 32, no. 3 (March 2007): 443–53. http://dx.doi.org/10.1139/h07-014.

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Aging increases injury susceptibility and impairs the ability to adapt to repetitive exposures of mechanical loading. The objective of this research was to investigate if movement velocity affects muscle response to a chronic administration of stretch–shortening cycles (SSCs) differently in young vs. old rats. Dorsiflexor muscles of old (30 months, n = 5) and young rats (12 weeks, n = 6) were exposed 3 times/week for 4.5 weeks to a protocol of 80 maximal SSCs per exposure in vivo. Skeletal muscle response was characterized by high- (500°/s) and low- (60°/s) velocity dynamic performance, which was evaluated using peak eccentric force, isometric pre-stretch force, eccentric force enhancement above the isometric pre-stretch force, negative work, and positive work. The performance of the young and old groups was not statistically different at the start of the exposure. By the end of the exposure, however, a statistical difference was noted—performance increased significantly in the young animals and decreased significantly in the old animals. The SSC velocity had a profound effect on muscle response. The young animals’ high- and low-velocity performances increased during the chronic exposure period, whereas the old animals’ performances declined. High-velocity performance increased more than low-velocity performance in young animals. In contrast, old animals suffered the most loss in high-velocity performance over the chronic exposure period. A chronic exposure of SSCs results in a significant performance increase in young animals, and a significant performance decrease in old animals. These differences are more profound during high-velocity movements. These findings suggest that age may impair the ability of skeletal muscle to adapt to repetitive mechanical loading, particularly during high-velocity movements.

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Woo, Ye-Shin, Da-Sol Park, Ga-In Shin, and Hae-Yeon Park. "Leisure Performance and Leisure Satisfaction by Preference Leisure Performance in the Elderly: Comparison between Young-old and Old-old." Korea Gerontological Society 39, no. 2 (May 30, 2019): 119–211. http://dx.doi.org/10.31888/jkgs.2019.39.2.119.

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Woo, Ye-Shin, Da-Sol Park, Ga-In Shin, and Hae-Yeon Park. "Leisure Performance and Leisure Satisfaction by Preference Leisure Performance in the Elderly: Comparison between Young-old and Old-old." Korea Gerontological Society 39, no. 2 (May 30, 2019): 199–211. http://dx.doi.org/10.31888/jkgs.2019.39.2.199.

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Abdellah, Wael. "Effects of a pillarless, center-out stoping pattern on haulage drift performance and ore tonnage at risk." Rudarsko-geološko-naftni zbornik 38, no. 2 (2022): 87–96. http://dx.doi.org/10.17794/rgn.2022.2.8.

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With respect to mining sequence, this article intends to investigate the impact of pillarless centre-out stoping patterns (e.g. pyramidal sequences) on the performance of mine haulage drifts (e.g. ore access units), the tonnage of unmined ore at risk, and the required quantity of fill material. Using RS2D software, a two-dimensional, elasto-plastic finite-element model for a haulage drift located at 1200m below the surface in the orebody’s footwall has been built. The spread of yielding zones into the rock mass around an access drift and unmined stopes is used to assess mine haulage drift stability and estimate the amount of unmined ore at risk owing to local mining activity. The findings are presented and discussed in terms of the size of failure zones, the number of tonnes of unmined blocks at risk, and the amount of backfill materials required, all in relation to the mining stage. The findings show that haulage drift stability is rapidly diminishing. The drift roof begins to deteriorate at an early stage (after mining step 3). In the drift roof, left wall, floor, and right wall, failure zones measured 1.55m (step 3), 2.28m (step 4), 2.57m (step 5) and 1.88m (step 5) accordingly. After mining step 4, there was a total of 905 m3 of unmined ore at risk (4100 tons), and after mining step 5, a total of 1500 m3 (30 tons) of back fill material was required to strengthen stopes.

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Medeiros, Paulo Adelino, Edimar Lopes Costa, Elenice Martins Brasil, Eduardo Akifumi Ono, and Elizabeth Gusmão Affonso. "Diets for grow-out of pirarucu in net cage: performance, physiological parameters, fillet composition and feeding cost." Boletim do Instituto de Pesca 45, no. 4 (September 27, 2019): e532. http://dx.doi.org/10.20950/1678-2305.2019.45.4.532.

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Lenartz, F., J. M. Beckers, J. Chiggiato, C. Troupin, L. Vandenbulcke, and M. Rixen. "Super-ensemble techniques applied to wave forecast: performance and limitations." Ocean Science Discussions 7, no. 2 (March 16, 2010): 709–37. http://dx.doi.org/10.5194/osd-7-709-2010.

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Abstract. Nowadays, several operational forecasts of surface gravity waves are available for a same region through different forecasting systems. However, their results may considerably diverge, and choosing one single forecasting system among them is not an easy task. A recently developed approach consists in merging different forecasts and past observations into a single multi-model prediction system, called the super-ensemble. First implemented in meteorology, the method has also already been tested with success in oceanography for determining temperature, acoustic properties or surface drift. During the DART06 campaigns organized by the NURC, four wave forecasting systems were simultaneously run in the Adriatic Sea, while significant wave height was measured at six stations and along the tracks of two remote sensors, hence offering an opportunity to evaluate the skills of the super-ensemble techniques. The improvement shown during both the learning and testing periods was essentially due to a bias reduction, though the correlation was also increased. The possibility of extrapolating locally obtained results in the whole domain of interest was assessed against satellite observations. Though definitive conclusions can not be drawn from these experiments, the results open the door for further investigations.

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Halverson, Paul K. "Performance Measurement and Performance Standards: Old Wine in New Bottles." Journal of Public Health Management and Practice 6, no. 5 (2000): vi—x. http://dx.doi.org/10.1097/00124784-200006050-00002.

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Nagahama, Yasuhiro, Tomoko Okina, and Norio Suzuki. "Neuropsychological Differences Related to Age in Dementia with Lewy Bodies." Dementia and Geriatric Cognitive Disorders Extra 7, no. 2 (June 19, 2017): 188–94. http://dx.doi.org/10.1159/000477296.

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Background/Aims: To examine the influence of age on neuropsychological performances in dementia with Lewy bodies (DLB) and Alzheimer disease (AD) patients. Methods: We examined memory, executive, and visuo-constructional performances in 202 DLB patients and 236 AD patients. We divided the subjects into three age groups (65–74, 75–84, and 85–95 years old), and evaluated the differences in neuropsychological performances. Results: Recent memory in the DLB group was significantly better than that in the age-matched AD group when comparing the age groups 65–74 years and 75–84 years; however, memory impairment in the DLB patients in the age group 85–95 years was comparable with that in the age-matched AD patients. In contrast to recent memory, the other assessed neuropsychological performances, such as visuospatial and executive functions, showed no significant change in differences between the DLB and AD groups with advancing age. Conclusion: Our study revealed that the nature of memory impairment in DLB patients changes according to age. DLB patients in the young-old and old-old age groups showed significantly better memory performance than the age-matched AD patients, whereas memory performance of the DLB patients in the oldest-old age group was similar to that of the age-matched AD patients. This may be associated with the increased rate of coexisting AD pathology in DLB patients with older age.

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Tomkinson, Grant R., Michael J. Hamlin, and Timothy S. Olds. "Secular Changes in Anaerobic Test Performance in Australasian Children and Adolescents." Pediatric Exercise Science 18, no. 3 (August 2006): 314–28. http://dx.doi.org/10.1123/pes.18.3.314.

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Secular changes in anaerobic fitness test performance in healthy 6- to 17-year-old Australasians were examined by meta-analysis of 232,564 power- and speed-test performances between 1960 and 2002. Overall, power-test performance improved at a rate of +0.05% [95% confidence interval (CI) = +0.01% to +0.09%] per annum, and speed at +0.04% (CI = +0.02% to +0.06%) per annum. Results indicate that anaerobic-fitness-test performances have remained relatively stable in Australasian children and adolescents in recent decades.

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Dibek, Esin, Atiye Adak Özdemir, and Yıldız Güven. "The Examination of 5-6 Year-Old Children’s Ability to Use Simple Maps." Journal of Education and Training Studies 7, no. 3 (February 25, 2019): 182. http://dx.doi.org/10.11114/jets.v7i3.3904.

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The main purpose of this study was to assess children’s skill in using a simple map. The study was conducted among 262 children (141 girls and 121 boys), aged between 61-78 months (average 71 months), attending to 4 public pre-schools in Istanbul, Turkey. The simple map skills (requiring mental rotation and understanding spatial relation) of the participants were tested through five different experimental trials. Children’s skills in using simple maps were analyzed by age, gender, and children’s performances in different experimental conditions.The data were analyzed using logistic regression analysis. It was found that children’s performance in the experiments did not vary by gender. Likewise, their performance did not vary by age. However, there were significant differences in children’s performances in the five different experimental conditions. According to findings, children were more successful in trial 1 which is requiring the understanding of spatial relations compared to the trial 2 and 3 which are requiring mental rotation. Finally results are discussed in terms of variables which may lead to the researchers and educators working on spatial abilities of children.

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Shi, Jiameng, Hao Kong, Liren Huang, Qinfen Lu, and Yunyue Ye. "Investigation of modular odd-pole PM linear synchronous motors with flux gaps." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 2 (March 7, 2016): 424–38. http://dx.doi.org/10.1108/compel-02-2015-0067.

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Purpose – Nowadays, to simplify manufacture process and improve fault-tolerant capability, more and more modular electrical machines are being applied in industrial areas. The purpose of this paper is to investigate a novel modular single-sided flat permanent magnet linear synchronous motor (PMLSM), which adopts segmented armature with the required flux gaps between segments to enhance the performance. Design/methodology/approach – Using 2D finite element analysis, the performances, such as open-flux linkage, back-EMF, average thrust force, thrust ripple, etc., are compared in different values of flux gaps, as well as different slot/pole number combinations (mainly odd numbers of poles). Finally, to show the difference of linear motor from rotary one, the detailed comparison is made between modular PMLSM and rotary PMSM. Findings – Due to flux gaps, it is found the electromagnetic performances are worsened along with flux gap width increasing to modular PMLSMs having slot number higher than pole number, but some aspects of performances such as winding factor, open-circuit flux linkage, back-EMF and average thrust can be improved to those having slot number lower than pole number. Due to the end effect of linear format, the thrust ripple is not significantly improved. Originality/value – It is concluded the proper flux gaps can be chosen to improve the performance of PMLSM with certain slot/pole combinations. A new structure of 12-slot-13-pole (hereinafter referred to as 12s/13p) PMLSM with fractional slot and alternative-teeth wound winding is designed.

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Muragod, Anil R., Mana Yeslawath, Yashashree Apte, and Yulia Gomes. "EFFECT OF PROGRESSIVE RESISTANCE TRAINING AND BALANCE TRAINING ON BALANCE PERFORMANCE IN YOUNG OLD ADULTS: RANDOMISED CLINICAL TRAIL." International Journal of Physiotherapy and Research 4, no. 5 (October 11, 2016): 1646–51. http://dx.doi.org/10.16965/ijpr.2016.151.

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Dharmayat, Snehal, and Mehreen Bandmaster. "EFFECT OF A STRUCTURED PHYSICAL ACTIVITY ON ACADEMIC PERFORMANCE IN 10-15 YEAR OLD CHILDREN OF BELAGAVI CITY." International Journal of Physiotherapy and Research 6, no. 5 (September 11, 2018): 2840–47. http://dx.doi.org/10.16965/ijpr.2018.158.

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Abdul Hamid, N. H., and M. A. Masrom. "Seismic Performance of Wall-Slab Joints in Industrialized Building System (IBS) Under Out-Of-Plane Reversible Cyclic Loading." International Journal of Engineering and Technology 4, no. 1 (2012): 26–33. http://dx.doi.org/10.7763/ijet.2012.v4.313.

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Woo, Ye-Shin, Ga-In Shin, Da-sol Park, and Hae Yean Park. "P4-652: LEISURE PERFORMANCE AND LEISURE SATISFACTION BY PREFERENCE LEISURE PERFORMANCE IN THE ELDERLY: COMPARISON BETWEEN YOUNG-OLD AND OLD-OLD." Alzheimer's & Dementia 15 (July 2019): P1579—P1580. http://dx.doi.org/10.1016/j.jalz.2019.09.018.

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Giannachi, Gabriella, Conrado Augusto Gandara Federici, and Marina Souza Lobo Guzzo. "Presença ambiental." ouvirOUver 17, no. 2 (January 20, 2022): 524–36. http://dx.doi.org/10.14393/ouv-v17n2a2021-61584.

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Tradução de "Environmental presence", de Gabriella Giannachi. In: GIANNACHI, Gabriela; KAYE, Nick; SHANKS, Michael (org.). Archaeologies of Presence: Art, Performance and the persistence of being. Londres: Routledge: 2012. P. 50-63.

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Mendes, Camila Guimarães, Adriana F. Drummond, Débora M. Miranda, Danielle S. Costa, and Marisa C. Mancini. "Household task demands for quiet and focused behavior facilitate performance by ADHD youth." Arquivos de Neuro-Psiquiatria 74, no. 7 (July 2016): 524–29. http://dx.doi.org/10.1590/0004-282x20160081.

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ABSTRACT This study evaluated the associations among symptoms of attention-deficit/hyperactivity disorder (ADHD) and of oppositional defiant disorder (ODD) in children and adolescents’ performance in household tasks and assistance provided by caregivers. Parents of children from 6 to 14 years old with ADHD (n = 67) were interviewed with the Children Helping Out: Responsibilities, Expectations, and Supports (CHORES) instrument. Significant correlations were found between symptoms of ODD and assistance in self-care tasks (r = −0.31; p = 0.01); symptoms of hyperactivity correlated with assistance in self-care (r = −0.30, p = 0.01); and family-care (r = −0.25, p = 0.04) tasks. Age was directly associated with the number of tasks performed by children and inversely related to the assistance provided by caregivers. A greater number of ODD symptoms resulted in more household assistance from caregivers. Characteristics of ODD symptoms, such as disobedience and hostility in the face of authority, may limit these children in accessing household tasks by their own initiative, requiring assistance from caregivers.

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Hashim, Emad, and Zainab Talib. "Study of the performance of five parameter model for monocrystalline silicon photovoltaic module using a reference data." FME Transactions 46, no. 4 (2018): 585–94. http://dx.doi.org/10.5937/fmet1804585t.

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Kovačević, Marina, and Ana Batrićević. "Their story: From creative writing of female prisoners to restorative theatre performance." Kultura, no. 170-171 (2021): 245–61. http://dx.doi.org/10.5937/kultura2171245k.

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Traditional reaction to crime is inefficient and experts are searching for innovative methods of social rehabilitation and reintegration of offenders. Restorative justice - an approach that respects interests of all the subjects affected by criminal offence, including victims, offenders and community - is becoming increasingly widespread as an addition to classical, formal judicial processes and punishments. Restorative process is efficient due to its powerful transformative mechanisms based upon dialogue, mediation, negotiation, reconciliation, forgiveness, symbolic rituals, reintegrative shaming, community support and control. Restorative elements emerge in various forms, including innovative programmes of work with prisoners, focused on social rehabilitation and reintegration, in order to prevent re-offending. Some of them implement therapeutic effects of art, as a means to help prisoners to: overcome deprivations, express emotions, heal past trauma, (re)establish healthy relationships, enhance empathy, strengthen self-confidence, rebuild positive identity and reintegrate in the community. On the grounds of Boal's "theatre of the oppressed", various forms of socially engaged theatrical genres evolved, including applied theatre, surpassing the borders of classical theatre and getting closer to performance. Theatre within the prison walls being one of them, we took the example of the theatre performance "Her Story", written and performed by prisoners from Correctional Institution for Women in Požarevac, Serbia. Completed through creative writing workshops and played in this penal institution, it is an example of applied theatre based upon art therapy with strong restorative effects. The points of intersection between restorative process and this theatre performance, make it stand out among other forms of applied theatre, providing it with particularly strong transformative effects. Following the case study of "Her Story", the authors of this paper have suggested further application of similar programmes and their promotion within the community, as an effective method of crime suppression through healing powers of art in synergy with restorative elements.

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Bansal, Shashwat, and Sampatrao D. Manjare. "Theoretical Investigation on the Performance of Multicomponent Distillation Column for the Separation of Hydrocarbon Mixture Using Inside out Approach." International Journal of Chemical Engineering and Applications 7, no. 4 (August 2016): 282–88. http://dx.doi.org/10.18178/ijcea.2016.7.4.590.

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Mavromati, Jani, Fatmira Shehu, and Eirini Mavromati. "The Influence of Tilmicosine and Enrofloxacine in Mycoplasmas Control, Hatchary Performance and Quality of Eggs and Day Old Chicks." Indian Journal of Applied Research 3, no. 12 (October 1, 2011): 417–19. http://dx.doi.org/10.15373/2249555x/dec2013/127.

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Huang, Yi-Hou, Woan-lih Liang, Quang-Thai Truong, and Yanzhi Wang. "No new tricks for old dogs? Old directors and innovation performance." Technological Forecasting and Social Change 179 (June 2022): 121659. http://dx.doi.org/10.1016/j.techfore.2022.121659.

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Nisbet, Ian C. T., Victor Apanius, and Margaret S. Friar. "Breeding performance of very old Common Terns." Journal of Field Ornithology 73, no. 2 (April 2002): 117–24. http://dx.doi.org/10.1648/0273-8570-73.2.117.

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Tatematsu, Masashi, Takashi Mori, Toyozo Kawaguchi, Kazuo Takeuchi, Masami Hattori, Ichizo Morita, Haruo Nakagaki, et al. "Masticatory performance in 80-year-old individuals." Gerodontology 21, no. 2 (June 2004): 112–19. http://dx.doi.org/10.1111/j.1741-2358.2004.00018.x.

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MØLLER, A. P., T. A. MOUSSEAU, G. RUDOLFSEN, J. BALBONTíN, A. MARZAL, I. HERMOSELL, and F. DE LOPE. "Senescent sperm performance in old male birds." Journal of Evolutionary Biology 22, no. 2 (November 19, 2008): 334–44. http://dx.doi.org/10.1111/j.1420-9101.2008.01650.x.

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Journal articles on the topic 'Oud Performance'

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