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Frontiers in Human Neuroscience 2021Interpersonal synchrony refers to the temporal coordination of actions between individuals and is a common feature of social behaviors, from team sport to ensemble music...
Interpersonal synchrony refers to the temporal coordination of actions between individuals and is a common feature of social behaviors, from team sport to ensemble music performance. Interpersonal synchrony of many rhythmic (periodic) behaviors displays dynamics of coupled biological oscillators. The current study addresses oscillatory dynamics on the levels of brain and behavior between music duet partners performing at spontaneous (uncued) rates. Wireless EEG was measured from = 20 pairs of pianists as they performed a melody first in Solo performance (at their spontaneous rate of performance), and then in Duet performances at each partner's spontaneous rate. Influences of partners' spontaneous rates on interpersonal synchrony were assessed by correlating differences in partners' spontaneous rates of Solo performance with Duet tone onset asynchronies. Coupling between partners' neural oscillations was assessed by correlating amplitude envelope fluctuations of cortical oscillations at the Duet performance frequency between observed partners and between surrogate (re-paired) partners, who performed the same melody but at different times. Duet synchronization was influenced by partners' spontaneous rates in Solo performance. The size and direction of the difference in partners' spontaneous rates were mirrored in the size and direction of the Duet asynchronies. Moreover, observed Duet partners showed greater inter-brain correlations of oscillatory amplitude fluctuations than did surrogate partners, suggesting that performing in synchrony with a musical partner is reflected in coupled cortical dynamics at the performance frequency. The current study provides evidence that dynamics of oscillator coupling are reflected in both behavioral and neural measures of temporal coordination during musical joint action.
PubMed: 34588966
DOI: 10.3389/fnhum.2021.717810 -
Psychology of Music Jul 2017In this work, we compared emotions induced by the same performance of Schubert Lieder during a live concert and in a laboratory viewing/listening setting to determine...
In this work, we compared emotions induced by the same performance of Schubert Lieder during a live concert and in a laboratory viewing/listening setting to determine the extent to which laboratory research on affective reactions to music approximates real listening conditions in dedicated performances. We measured emotions experienced by volunteer members of an audience that attended a Lieder recital in a church (Context 1) and emotional reactions to an audio-video-recording of the same performance in a university lecture hall (Context 2). Three groups of participants were exposed to three presentation versions in Context 2: (1) an audio-visual recording, (2) an audio-only recording, and (3) a video-only recording. Participants achieved statistically higher levels of emotional convergence in the live performance than in the laboratory context, and the experience of particular emotions was determined by complex interactions between auditory and visual cues in the performance. This study demonstrates the contribution of the performance setting and the performers' appearance and nonverbal expression to emotion induction by music, encouraging further systematic research into the factors involved.
PubMed: 28781419
DOI: 10.1177/0305735616670496 -
European Journal of Sport Science Jun 2022Parkour speed-runs require performers (known as Traceurs) to negotiate obstacles with divergent properties such as angles, inclinations, sizes, surfaces, and textures in...
Parkour speed-runs require performers (known as Traceurs) to negotiate obstacles with divergent properties such as angles, inclinations, sizes, surfaces, and textures in the quickest way possible. The quicker the run, the higher the performer is ranked. Performance in Parkour speed-runs may be regulated through Parkour Traceurs' functional movement skill capacities given the physical requirements of the event. This study examined what functional movement skills correlate with Parkour speed-run performance. Nineteen male Parkour Traceurs undertook a physical testing battery inclusive of: agility T-test, maximal grip strength test, and maximal vertical and horizontal jumps across several jump modalities. For the speed-run, Parkour Traceurs navigated an indoor Parkour installation. Pearson's correlation analyses ( revealed that agility T-test performance showed a significant positive correlation with Parkour speed-run performance, whereas standing long jump and counter movement jump (with and without arm swing) were significantly negatively correlated with Parkour speed-run performance. Concurrent with the intrinsically-linked building blocks in the Athletic Skills Model, the data from the present study suggest that performance in Parkour-speed-runs are underpinned by functional movement skills (jumping, running; arm swinging) and conditions of movement (agility), all of which encapsulate elements of basic motor properties (speed; strength). From a practical perspective, the agility T-test, standing long jump, and counter movement jump with and without arm swing can form a basic battery to evaluate the physical effects of Parkour speed-run interventions on functional movement skills. HighlightsAs Parkour speed-runs could be implemented to improve functional movement skills in different domains (indoors, outdoors, collectively as members of a team or individually), it was important to explore what composition of a battery of standardised athletic tests for functional movement skills correlated to Parkour speed-run performance (time to completion).In line with the intrinsically-linked building blocks in the Athletic Skills Model, the data from the present study suggest that performance in Parkour-speed-runs are underpinned by functional movement skills (jumping, running; arm swinging) and condition of movement (agility), all of which encapsulate elements of basic motor properties (speed; strength).Testing batteries examining the effects of Parkour speed-run interventions should include the following: agility T-test, CMJ jumps without arm swing using both feet and the dominant and the non-dominant foot, SLJ, and CMJ jumps with an arm swing component using both feet and the dominant and the non-dominant foot.
Topics: Athletic Performance; Foot; Humans; Lower Extremity; Male; Motor Skills; Movement; Running
PubMed: 33583349
DOI: 10.1080/17461391.2021.1891295 -
Sultan Qaboos University Medical Journal May 2011Incentives for better performance in health care have several modes and methods. They are designed to motivate and encourage people to perform well and improve their...
Incentives for better performance in health care have several modes and methods. They are designed to motivate and encourage people to perform well and improve their outcomes. They may include monetary or non-monetary incentives and may be applied to consumers, individual providers or institutions. One such model is the Pay-for-Performance system. In this system, beneficiaries are compared with one another based on a set of performance indicators and those that achieve a high level of performance are rewarded financially. This system is meant to recognise and primarily to reward high performers. Its goal is to encourage beneficiaries to strive for better performance. This system has been applied in several countries and for several recipients and settings. Early indications show that this system has had mixed effects on performance.
PubMed: 21969891
DOI: No ID Found -
Frontiers in Sociology 2019In this perspective paper, we explore the growing enthusiasm for "co-produced" research, focusing in particular on the United Kingdom's National Institute for Health...
In this perspective paper, we explore the growing enthusiasm for "co-produced" research, focusing in particular on the United Kingdom's National Institute for Health Research's (NIHR) recent adoption of the term co-production. We consider how this interest in co-production is driven by concerns that patient and public involvement (PPI) in health research tends to be "tokenistic" and to reproduce power imbalances between researchers and lay contributors. We argue that these apparent implementation "barriers" or "inconsistencies" need to be understood in relation to the various elements that the institutionalisation of PPI brings together. We show how these elements are articulated in such a way that consumer, managerial, and performative logics and practices are dominant, resulting in limits being placed on the scope and forms of PPI, and the emergence of acts of recalcitrance and impression management. By considering the alternative discursive repertoires made available through co-production, we point to the possibilities co-production presents for moving beyond these dominant tendencies. We argue, however, that such possibilities need to be understood in relation to the constraints of the present. In doing so, we draw attention to the tenacity of the articulations that have historically constituted the institutionalisation of PPI.
PubMed: 33869348
DOI: 10.3389/fsoc.2019.00023 -
Proceedings of SPIE--the International... 2022A common study design for comparing the performances of diagnostic imaging tests is to obtain ratings from multiple readers of multiple cases whose true statuses are...
A common study design for comparing the performances of diagnostic imaging tests is to obtain ratings from multiple readers of multiple cases whose true statuses are known. Typically, there is overlap between the tests, readers, and/or cases for which special analytical methods are needed to perform statistical comparisons. We present our new MATLAB MRMCaov toolbox, which is designed for multi-reader multi-case comparisons of two or more diagnostic tests. The toolbox allows for statistical comparison of reader performance metrics, such as area under the receiver operating characteristic curve (ROC AUC), with analysis of variance methods originally proposed by Obuchowski and Rockette (1995) and later unified and improved by Hillis and colleagues (2005, 2007, 2008, 2018). MRMCaov is open-source software with an integrated command-line interface for performing multi-reader multi-case statistical analysis, plotting, and presenting results. Its features (1) ROC AUC, likelihood ratios of positive or negative ratings, sensitivity, specificity, and expected utility reader performance metrics; (2) reader-specific ROC curves; (3) user-definable performance metrics; (4) test-specific estimates of mean performance along with confidence intervals and p-values for statistical comparisons; (5) support for factorial, nested, or partially paired study designs; (6) inference for random or fixed readers and cases; (7) DeLong, jackknife, or unbiased covariance estimation; and (8) compatibility with Microsoft Windows, Mac OS, and Linux.
PubMed: 36159880
DOI: 10.1117/12.2610663 -
European Heart Journal. Quality of Care... Jan 2020Thirty-day risk standardized readmission and mortality rates (RSRR, RSMR) are key determinants for hospital performance for cardiovascular conditions such as acute...
AIMS
Thirty-day risk standardized readmission and mortality rates (RSRR, RSMR) are key determinants for hospital performance for cardiovascular conditions such as acute myocardial infarction (AMI) and heart failure (HF). We evaluated whether individual hospitals in the USA perform similarly for HF and AMI over time based on readmission and mortality metrics.
METHODS AND RESULTS
A total of 1950 hospitals in the USA with continuous participation in the Centers for Medicare and Medicaid Services (CMS) public reporting programme between 2010 and 2016 were identified. Latent mixture modelling was used to define performance trajectory groups. Overall, there were consistent declines in the RSMR (16.1-14.0%) and RSRR (20.3-16.6%) for AMI from 2010 to 2016. For HF, RSRR declined over time (25.1-21.7%), while there was a modest increase in RSMR (11.3-12.0%); parallel findings were observed across performance trajectory groups. The proportion of best performing centres for HF care that were also best performers for AMI care based on the 30-day RSMR and 30-day RSRR metric was 54% and 35%, respectively. Furthermore, the discordance rate between the best and worst performers for both conditions was low (<2% for both 30-day outcomes).
CONCLUSION
In the USA, despite variation in baseline hospital-level outcomes, hospitals had consistent longitudinal trajectories (worsening or improvement) across conditions and metrics. Hospitals identified as high performing were frequently similar across target conditions and over time, suggesting that performance may be driven by systems of care influencing different disease states in a comparable manner.
Topics: Cardiovascular Diseases; Follow-Up Studies; Hospital Mortality; Hospitals; Humans; Patient Readmission; Retrospective Studies; United States
PubMed: 31124567
DOI: 10.1093/ehjqcco/qcz026 -
European Journal of Applied Physiology Jan 2023In the mid-nineteenth century, the concept of muscle behaving like a stretched spring was developed. This elastic model of contraction predicted that the energy... (Review)
Review
In the mid-nineteenth century, the concept of muscle behaving like a stretched spring was developed. This elastic model of contraction predicted that the energy available to perform work was established at the start of a contraction. Despite several studies showing evidence inconsistent with the elastic model, it persisted into the twentieth century. In 1923, W. O. Fenn published a paper in which he presented evidence that appeared to clearly refute the elastic model. Fenn showed that when a muscle performs work it produces more heat than when contracting isometrically. He proposed that energy for performing work was only made available in a muscle as and when that work was performed. However, his ideas were not adopted and it was only after 15 years of technical developments that in 1938 A. V. Hill performed experiments that conclusively disproved the elastic model and supported Fenn's conclusions. Hill showed that the rate of heat production increased as a muscle made the transition from isometric to working contraction. Understanding the basis of the phenomenon observed by Fenn and Hill required another 40 years in which the processes that generate force and work in muscle and the associated scheme of biochemical reactions were established. Demonstration of the biochemical equivalent of Hill's observations-changes in rate of ATP splitting when performing work-in 1999 was possible through further technical advances. The concept that the energy, from ATP splitting, required to perform work is dynamically modulated in accord with the loads a muscle encounters when contracting is key to understanding muscle energetics.
Topics: Male; Humans; Muscle Contraction; Muscles; Adenosine Triphosphate
PubMed: 36271943
DOI: 10.1007/s00421-022-05070-7 -
Scientific Reports Jun 2021Side experiments are performed on radiomics models to improve their reproducibility. We measure the impact of myocardial masks, radiomic side experiments and data...
Side experiments are performed on radiomics models to improve their reproducibility. We measure the impact of myocardial masks, radiomic side experiments and data augmentation for information transfer (DAFIT) approach to differentiate patients with and without pulmonary hypertension (PH) using cardiac MRI (CMRI) derived radiomics. Feature extraction was performed from the left ventricle (LV) and right ventricle (RV) myocardial masks using CMRI in 82 patients (42 PH and 40 controls). Various side study experiments were evaluated: Original data without and with intraclass correlation (ICC) feature-filtering and DAFIT approach (without and with ICC feature-filtering). Multiple machine learning and feature selection strategies were evaluated. Primary analysis included all PH patients with subgroup analysis including PH patients with preserved LVEF (≥ 50%). For both primary and subgroup analysis, DAFIT approach without feature-filtering was the highest performer (AUC 0.957-0.958). ICC approaches showed poor performance compared to DAFIT approach. The performance of combined LV and RV masks was superior to individual masks alone. There was variation in top performing models across all approaches (AUC 0.862-0.958). DAFIT approach with features from combined LV and RV masks provide superior performance with poor performance of feature filtering approaches. Model performance varies based upon the feature selection and model combination.
Topics: Female; Heart; Humans; Hypertension, Pulmonary; Image Interpretation, Computer-Assisted; Machine Learning; Magnetic Resonance Imaging; Male; Reproducibility of Results; Retrospective Studies
PubMed: 34135418
DOI: 10.1038/s41598-021-92155-6 -
Heliyon Oct 2023This study evaluates the skills of 30 CMIP5 GCMs and the Multimodel Ensemble (MME) in reproducing the characteristics of observed precipitation (Pr), minimum (T), and...
This study evaluates the skills of 30 CMIP5 GCMs and the Multimodel Ensemble (MME) in reproducing the characteristics of observed precipitation (Pr), minimum (T), and maximum (T) temperature over the Middle Awash sub-basin (MASB) in Ethiopia. The MME of the climate variables was generated using the simple arithmetic mean method. The entire analysis was performed on the raw historical GCM simulations (before bias correction) and observed data for the periods 1981-2005 based on monthly and annual time series data over the annual and seasonal temporal resolutions. This study considered two approaches. The first one was an evaluation of GCMs employing five statistical performance metrics (SPMs), i.e., mean, CV, PBIAS, RSR, and r. The second approach involves the application of multicriteria decision-making (MCDM) analysis, adopting three SPMs (PBIAS, RSR, and r). The relative weights of the three metrics were determined by the entropy method. Besides, the weighted average and compromise programming techniques were employed to rank and select the best-performing GCMs. The findings from the first approach using five SPMs demonstrate that, for a given variable of interest, a GCM that performs well for one SPM may fail to produce the same for another SPM on the same temporal scale. Likewise, for the same SPM at different resolutions, a GCM may perform well for a one-time scale but poorly for another. These suggested that the results of GCM skills relied mainly on the SPM, time scale, and data formats chosen for analysis. Hence, it is critical to comprehensively evaluate the skill of GCMs using multiple performance metrics over a range of spatial and temporal settings and data formats. In addition, results of the MCDM analysis proved that the ensemble of GCMs, which provide adequate performance in simulating the salient features of Pr, T, and T concomitantly across the MASB, encompass CMCC-CMS, BCC-CSM1.1(m), CMCC-CM, BNU-ESM, CanESM2, and MPI-ESM-MR. However, it was observed that different GCMs performed much differently in characterizing various variables over a range of temporal scales and data formats. The MME also proved its superior potential in duplicating the climate of the study area over several individual GCMs. The overall findings attested that instead of aggregating the ranks from the three variables into one, it is recommended to treat each variable independently while developing a subset of best-performing GCMs for ensembling since each GCM responds differently to each variable under a set of conditions. Finally, the approaches and findings from this study will be valuable input for subsequent climate and hydrologic studies in the study area and beyond.
PubMed: 37790964
DOI: 10.1016/j.heliyon.2023.e20320