Taking Harmony Into Account

2017 ◽  
Vol 34 (4) ◽  
pp. 405-423 ◽  
Author(s):  
Claire Arthur
Keyword(s):  
Hypothesis Testing ◽  
Predictive Power ◽  
Probabilistic Models ◽  
Probability Distributions ◽  
Future Research ◽  
Harmonic Model ◽  
Pitch Information ◽  
Overall Performance ◽  
Individual Scale ◽  
Diatonic Scale

Probabilistic models have proved remarkably successful in modeling melodic organization (e.g., Huron, 2006a; Pearce, 2005; Temperley, 2008). However, the majority of these models rely on pitch information taken from melody alone. Given the prevalence of homophonic music in Western culture, however, surprisingly little attention has been directed at exploring the predictive power of harmonic accompaniment in models of melodic organization. The research presented here uses a combination of the three main approaches to empirical musicology—exploratory analysis, modeling, and hypothesis testing—to investigate the influence of harmony on melodic behavior. In this study a comparison is made between models that use only melodic information and models that consider the melodic information along with the underlying harmonic accompaniment to predict melodic continuations. A test of overall performance shows a significant improvement using a melodic-harmonic model. When individual scale degrees are examined, the major diatonic scale degrees are shown to have unique probability distributions for each of their most common harmonic settings. That is, the results suggest a robust effect of harmony on melodic organization. Perceptual implications and directions for future research are discussed.

scholarly journals Economic value of protected areas via visitor mental health

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Ralf Buckley ◽  
Paula Brough ◽  
Leah Hague ◽  
Alienor Chauvenet ◽  
Chris Fleming ◽  
...  
Keyword(s):  
Mental Health ◽  
Protected Areas ◽  
Protected Area ◽  
Economic Value ◽  
Future Research ◽  
Global Estimate ◽  
Conservation Policies ◽  
Life Years ◽  
Order Of Magnitude ◽  
Individual Scale

Abstract We evaluate methods to calculate the economic value of protected areas derived from the improved mental health of visitors. A conservative global estimate using quality-adjusted life years, a standard measure in health economics, is US$6 trillion p.a. This is an order of magnitude greater than the global value of protected area tourism, and two to three orders greater than global aggregate protected area management agency budgets. Future research should: refine this estimate using more precise methods; consider interactions between health and conservation policies and budgets at national scales; and examine links between personalities and protected area experiences at individual scale.

The creation and development of learning organizations: a review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohit Kumar ◽  
Justin Paul ◽  
Madhvendra Misra ◽  
Rubina Romanello
Keyword(s):  
Knowledge Management ◽  
Future Research ◽  
Business Organization ◽  
It Infrastructure ◽  
Content Type ◽  
Modern Business ◽  
Managerial Implications ◽  
Overall Performance ◽  
Stored Information ◽  
And Storage

Purpose In this paper, using the antecedents, decisions and outcomes (ADO) framework, the factors/key performance indicators (KPIs) most relevant for creating or building a learning organization (LO) are identified. This study aims to contribute to the field of knowledge management (KM) in terms of introducing KPIs to foster a business organization with a continuous learning process, mechanisms of knowledge creation and memorization. Design/methodology/approach In total, 57 papers were selected for this systematic literature review (SLR) from Web of Science and Scopus covering the period 1985–2019. Findings The 12 most relevant KPIs are identified based on the literature survey conducted in the field of LO. Research limitations/implications The managerial implications of this review paper will be an added advantage to the modern business organization worldwide that have adopted KM practices to foster knowledge management with information technology (IT) infrastructure. As IT infrastructure focuses on knowledge acquisition, dissemination and storage but the KPIs revealed through this review will help in transforming stored information as learning for the organization to improve its overall performance. Originality/value This review synthesizes prior studies and provides directions for future research.

scholarly journals A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan

2016 ◽  
Vol 11 (1) ◽  
pp. 432-440 ◽  
Author(s):  
M. T. Amin ◽  
M. Rizwan ◽  
A. A. Alazba
Keyword(s):  
Probability Distribution ◽  
Goodness Of Fit ◽  
Probability Distributions ◽  
Future Research ◽  
Maximum Rainfall ◽  
Type Iii ◽  
Goodness Of Fit Tests ◽  
Pearson Type ◽  
Northern Regions ◽  
Best Fit

AbstractThis study was designed to find the best-fit probability distribution of annual maximum rainfall based on a twenty-four-hour sample in the northern regions of Pakistan using four probability distributions: normal, log-normal, log-Pearson type-III and Gumbel max. Based on the scores of goodness of fit tests, the normal distribution was found to be the best-fit probability distribution at the Mardan rainfall gauging station. The log-Pearson type-III distribution was found to be the best-fit probability distribution at the rest of the rainfall gauging stations. The maximum values of expected rainfall were calculated using the best-fit probability distributions and can be used by design engineers in future research.

scholarly journals Evaluating probabilistic programming and fast variational Bayesian inference in phylogenetics

2019 ◽  
Author(s):  
Mathieu Fourment ◽  
Aaron E. Darling
Keyword(s):  
Probabilistic Models ◽  
Probability Distributions ◽  
Mean Field ◽  
Black Box ◽  
Variational Inference ◽  
Machine Learning Techniques ◽  
Mcmc Methods ◽  
Substitution Model ◽  
Probabilistic Programming ◽  
Phylogenetic Models

AbstractRecent advances in statistical machine learning techniques have led to the creation of probabilistic programming frameworks. These frameworks enable probabilistic models to be rapidly prototyped and fit to data using scalable approximation methods such as variational inference. In this work, we explore the use of the Stan language for probabilistic programming in application to phylogenetic models. We show that many commonly used phylogenetic models including the general time reversible (GTR) substitution model, rate heterogeneity among sites, and a range of coalescent models can be implemented using a probabilistic programming language. The posterior probability distributions obtained via the black box variational inference engine in Stan were compared to those obtained with reference implementations of Markov chain Monte Carlo (MCMC) for phylogenetic inference. We find that black box variational inference in Stan is less accurate than MCMC methods for phylogenetic models, but requires far less compute time. Finally, we evaluate a custom implementation of mean-field variational inference on the Jukes-Cantor substitution model and show that a specialized implementation of variational inference can be two orders of magnitude faster and more accurate than a general purpose probabilistic implementation.

STUDENTS’ INFORMAL HYPOTHESIS TESTING IN A PROBABILITY CONTEXT WITH CONCRETE RANDOM GENERATORS

2020 ◽  
Vol 19 (3) ◽  
Author(s):  
PER NILSSON
Keyword(s):  
Hypothesis Testing ◽  
Teaching And Learning ◽  
Formal Education ◽  
Statistics Education ◽  
Probability Distributions ◽  
Teaching Experiment ◽  
Small Scale ◽  
Uniform Probability ◽  
Data Production

This study examines informal hypothesis testing in the context of drawing inferences of underlying probability distributions. Through a small-scale teaching experiment of three lessons, the study explores how fifth-grade students distinguish a non-uniform probability distribution from uniform probability distributions in a data-rich learning environment, and what role processes of data production play in their investigations. The study outlines aspects of students’ informal understanding of hypothesis testing. It shows how students with no formal education can follow the logic that a small difference in samples can be the effect of randomness, while a large difference implies a real difference in the underlying process. The students distinguish the mode and the size of differences in frequencies as signals in data and used these signals to give data-based reasons in processes of informal hypothesis testing. The study also highlights the role of data production and points to a need for further research on the role of data production in an informal approach to the teaching and learning of statistical inference. First published December 2020 at Statistics Education Research Journal: Archives

Mismanagement or Mismeasurement

2015 ◽  
pp. 276-322
Author(s):  
Abdel Latef Anouze ◽  
Ibrahim H. Osman
Keyword(s):  
General Framework ◽  
Evaluation Process ◽  
Future Research ◽  
Data Envelopment ◽  
Analytical Evaluation ◽  
Valuation Method ◽  
Multiple Input ◽  
Overall Performance ◽  
Five Phases ◽  
Decision Making Units

Data Envelopment Analysis (DEA) is a well-known frontier valuation method to assess the performance of set of Decision Making Units (DMUs). It derives an overall performance for each DMU based on its efficiency relative to others. All DMUs use the same production function that transfers multiple-input into multiple-output of qualitative and quantitative values. Such big data necessitates the provision of a general framework to guide both researchers and practitioners in the analytical evaluation process for better insights. This chapter proposes a new roadmap to guide future research to implement rigorous and relevant DEA applications. This roadmap consists of five phases: Understand, Prepare, Analyze, Implement, and Monitor (AIM-UP). This roadmap could be used to evaluate the efficiency of resource utilization and the effectiveness of production by the operating processes. Finally, three case studies are used to illustrate DEA implementation, and an up-to-date review of DEA applications is conducted.

Implications, Limitations, and Future Research

2019 ◽  
pp. 110-115
Keyword(s):  
Organizational Culture ◽  
The Body ◽  
Decision Makers ◽  
Future Research ◽  
Body Of Knowledge ◽  
Research Findings ◽  
Ict Tools ◽  
Overall Performance ◽  
The Right ◽  
Practical Implications

This chapter aims to explain the different implications of the research results, including theoretical implications, and how the findings contribute to the body of knowledge, and the practical implications for managers and decision makers in organizations. These include how they could use the research findings to achieve better results in customer, employee, society, and overall performance areas by developing the right types of organizational culture and using the right ICT tools. This chapter also sets out the research limitations and provides recommendations for future research based on the findings and experience from this study.

The Psychometric Properties of the Minnesota Tobacco Withdrawal Scale Among Patients With Mental Illness

2019 ◽  
Vol 22 (2) ◽  
pp. 247-255
Author(s):  
Yazan D. Al-Mrayat ◽  
Chizimuzo T. C. Okoli ◽  
Christina R. Studts ◽  
Mary K. Rayens ◽  
Ellen J. Hahn
Keyword(s):  
Mental Illness ◽  
Factor Analysis ◽  
Hypothesis Testing ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Health Care Professionals ◽  
Psychiatric Hospitalization ◽  
Future Research ◽  
Validity And Reliability ◽  
Tobacco Withdrawal

Background and Objectives: Approximately 65% of psychiatric inpatients experience moderate-to-severe nicotine withdrawal (NW), a set of symptoms appearing within 24 hr after an abrupt cessation or reduction of use of tobacco-containing products in those using nicotine daily for at least a couple of weeks. The Minnesota Tobacco Withdrawal Scale (MTWS) is a widely used instrument for detecting NW. However, the psychometric properties of the MTWS have not previously been examined among patients with serious mental illness (SMI) undergoing tobacco-free hospitalization. The objective of this study was to examine the validity and reliability of the MTWS among patients with SMI during tobacco-free psychiatric hospitalization. Methods: Reliability was tested by examining Cronbach’s α and item analysis. Validity was examined through hypothesis testing and exploratory factor analysis ( N = 255). Results: The reliability analysis yielded a Cronbach’s α coefficient of .763, an inter-item correlations coefficient of .393, and item-total correlations between .291 and .691. Hypothesis testing confirmed the construct validity of the MTWS, and an exploratory factor analysis yielded a unidimensional scale. Conclusion: The MTWS demonstrated adequate reliable and valid psychometric properties for measuring NW among patients with SMI. Nurses and other health-care professionals may use this instrument in clinical practice to identify patients with SMI experiencing NW. The MTWS is psychometrically sound for capturing NW during tobacco-free psychiatric hospitalization. Future research should examine the efficacy of the MTWS in measuring NW in this population over an extended period of hospitalization.

scholarly journals Recycling Tire Rubber in Asphalt Pavements: State of the Art

2020 ◽  
Vol 12 (21) ◽  
pp. 9076
Author(s):  
Saud A. Alfayez ◽  
Ahmed R. Suleiman ◽  
Moncef L. Nehdi
Keyword(s):  
State Of The Art ◽  
Permanent Deformation ◽  
Engineering Properties ◽  
Asphalt Pavements ◽  
Future Research ◽  
Tire Rubber ◽  
Durability Assessment ◽  
Overall Performance ◽  
Pavement Construction ◽  
Critical Overview

The use of recycled tire rubber in asphalt pavements to improve the overall performance, economy, and sustainability of pavements has gained considerable attention over the last few decades. Several studies have indicated that recycled tire rubber can reduce the permanent deformation of flexible pavements and enhance its resistance to rutting, reduce pavement construction and maintenance costs, and improve the resistance to fatigue damage. This paper provides a systematic and critical overview of the research on and practice of using recycled tire rubber in asphalt pavements in terms of engineering properties, performance, and durability assessment. This critical analysis of the state-of-the-art should enhance the understanding of using recycled tire rubber in asphalt pavements, define pertinent recommendations, identify knowledge gaps, and highlight the need for concerted future research.

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