64 research outputs found

    Comparative Study of Musical Performance by Machine Learning

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    This paper deals with the very special domains from computer science viz. Machine learning, g enetic algorithms, rule based systems, music and various intelligent systems . Most of the musicians use m achine l earning approach to improve accuracy of the musical note . Intelligent systems use databases to store monophonic audio recordings performed by the musician of jazz standards. Howeve r, these approach use to obtain a model which explai n and generate performances of expressive music. Rule based approach gives note level information containing time, dynamics and melody alteration . In this paper, we investigate how all these machine learning techniques work . We also compare their featu res and performance with evolutionary approach which will help user to get Rule based incremental model . Finally, output will be in a summarized format which gives reference solution. Comparative analysis shows that methods used by Incremental Rule b ased Appro ach provide full functionality and effectiveness as compared with previous machine learning techniques

    Disparities in Potentially Preventable Hospitalizations: Near-National Estimates for Hispanics

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    © Health Research and Educational Trust Objective: To obtain near-national rates of potentially preventable hospitalization (PPH)—a marker of barriers to outpatient care access—for Hispanics; to examine their differences from other race-ethnic groups and by Hispanic national origin; and to identify key mediating factors. Data Sources/Study Setting: Data from all-payer inpatient discharge databases for 15 states accounting for 85 percent of Hispanics nationally. Study Design: Combining counts of inpatient discharges with census population for adults aged 18 and older, we estimated age-sex-adjusted PPH rates. We examined county-level variation in race-ethnic disparities in these rates to identify the mediating role of area-level indicators of chronic condition prevalence, socioeconomic status (SES), health care access, acculturation, and provider availability. Principal Findings: Age-sex-adjusted PPH rates were 13 percent higher among Hispanics (1,375 per 100,000 adults) and 111 percent higher among blacks (2,578) compared to whites (1,221). Among Hispanics, these rates were relatively higher in areas with predominantly Puerto Rican and Cuban Americans than in areas with Hispanics of other nationalities. Small area variation in chronic condition prevalence and SES fully accounted for the higher rates among Hispanics, but only partially among blacks. Conclusions: Hispanics and blacks face higher barriers to outpatient care access; the higher barriers among Hispanics (but not blacks) seem mediated by SES, lack of insurance, cost barriers, and limited provider availability

    Massachusetts health reform and disparities in joint replacement use: difference in differences study

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    Objective: To estimate the impact of the insurance expansion in 2006 on use of knee and hip replacement procedures by race/ethnicity, area income, and the use of hospitals that predominantly serve poor people (“safety net hospitals”). Design: Quasi-experimental difference in differences study examining change after reform in the share of procedures performed in safety net hospitals by race/ethnicity and area income, with adjustment for patients’ residence, demographics, and comorbidity. Setting: State of Massachusetts, United States. Participants: Massachusetts residents aged 40-64 as the target beneficiaries of reform and similarly aged residents of New Jersey, New York, and Pennsylvania as the comparison (control) population. Main outcomes measures Number of knee and hip replacement procedures per 10 000 population and use of safety net hospitals. Procedure counts from state discharge data for 2.5 years before and after reform, and multivariate difference in differences. Poisson regression was used to adjust for demographics, economic conditions, secular time, and geographic factors to estimate the change in procedure rate associated with health reform by race/ethnicity and area income. Results: Before reform, the number of procedures (/10 000) in Massachusetts was lower among Hispanic people (12.9, P<0.001) than black people (28.1) and white people (30.1). Overall, procedure use increased 22.4% during the 2.5 years after insurance expansion; reform in Massachusetts was associated with a 4.7% increase. The increase associated with reform was significantly higher among Hispanic people (37.9%, P<0.001) and black people (11.4%, P<0.05) than among white people (2.8%). Lower income was not associated with larger increases in procedure use. The share of knee and hip replacement procedures performed in safety net hospitals in Massachusetts decreased by 1.0% from a level of 12.7% before reform. The reduction was larger among Hispanic people (−6.4%, P<0.001) than white people (−1.0%), and among low income residents (−3.9%, p<0.001) than high income residents (0%). Conclusions: Insurance expansion can help reduce disparities by race/ethnicity but not by income in access to elective surgical care and could shift some elective surgical care away from safety net hospitals

    An updated view of hypothalamic-vascular-pituitary unit function and plasticity

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    The discoveries of novel functional adaptations of the hypothalamus and anterior pituitary gland for physiological regulation have transformed our understanding of their interaction. The activity of a small proportion of hypothalamic neurons can control complex hormonal signalling, which is disconnected from a simple stimulus and the subsequent hormone secretion relationship and is dependent on physiological status. The interrelationship of the terminals of hypothalamic neurons and pituitary cells with the vasculature has an important role in determining the pattern of neurohormone exposure. Cells in the pituitary gland form networks with distinct organizational motifs that are related to the duration and pattern of output, and modifications of these networks occur in different physiological states, can persist after cessation of demand and result in enhanced function. Consequently, the hypothalamus and pituitary can no longer be considered as having a simple stratified relationship: with the vasculature they form a tripartite system, which must function in concert for appropriate hypothalamic regulation of physiological processes, such as reproduction. An improved understanding of the mechanisms underlying these regulatory features has implications for current and future therapies that correct defects in hypothalamic–pituitary axes. In addition, recapitulating proper network organization will be an important challenge for regenerative stem cell treatment

    Review of Solving Software Project Scheduling Problem with Ant Colony Optimization

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    ABSTRACT: SPSP is a problem of scheduling the task and employee. SPSP is a NP-hard (Non Polynomial) problem. SPSP is a problem which is related to RCPSP problem. For solving such problem number of model has been developed. Number of Meta heuristic algorithm is also applied to solve such problem (e.g. GA). This paper presents the survey of methods and models that are put into the historical context. SPSP split the task and distribute dedication of employee to task nodes. Author proposes an ACO Meta heuristics approach to solve the SPSP problem. Author use ACO for solving such problem hence he called it as an ACS: SPSP. Result of this paper is compared with GA to solve SPSP. The proposed algorithm is very efficient and promising and obtains more accuracy

    Kisspeptin-GPR54 Signaling in Mouse NO-Synthesizing Neurons Participates in the Hypothalamic Control of Ovulation

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    International audienceReproduction is controlled in the brain by a neural network that drives the secretion of gonadotropin-releasing hormone (GnRH). Various permissive homeostatic signals must be integrated to achieve ovulation in mammals. However, the neural events controlling the timely activation of GnRH neurons are not completely understood. Here we show that kisspeptin, a potent activator of GnRH neuronal activity, directly communicates with neurons that synthesize the gaseous transmitter nitric oxide (NO) in the preoptic region to coordinate the progression of the ovarian cycle. Using a transgenic Gpr54-null IRES-LacZ knock-in mouse model, we demonstrate that neurons containing neuronal NO synthase (nNOS), which are morphologically associated with kisspeptin fibers, express the kisspeptin receptor GPR54 in the preoptic region, but not in the tuberal region of the hypothalamus. The activation of kisspeptin signaling in preoptic neurons promotes the activation of nNOS through its phosphorylation on serine 1412 via the AKT pathway and mimics the positive feedback effects of estrogens. Finally, we show that while NO release restrains the reproductive axis at stages of the ovarian cycle during which estrogens exert their inhibitory feedback, it is required for the kisspeptin-dependent preovulatory activation of GnRH neurons. Thus, interactions between kisspeptin and nNOS neurons may play a central role in regulating the hypothalamic-pituitary-gonadal axis in vivo
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