Musical communication between adults and children is a widely studied phenomenon in the field of music education and psychology. In the research carried out to date, a variety of methodological ...designs have been used, based mainly on the perceptions of adults, to investigate the different aspects of these musical interactions. Thus, there is little information about the characteristics of participation in the parent-infant relationship considering both adults and children’s musical behaviours. The aim of the study in which this article is framed was to identify the characteristics of parent and child participation in musical interactions involving vocal expression in the family environment, with the particularity of the data having being obtained directly from their everyday communication scenarios. The participants were five families with at least one child younger than 36 months. Data was collected by means of an audio recording device (DLP) associated with LENA® software. This article describes a tool for analysis that was designed and validated according to the particularities of the data. The MICAD – Musical Interaction among Children and Adult Descriptors – integrates characteristics of elements of both adult-child communication and the musical content present in their encounters. Thanks to the analysis provided by the MICAD it is possible to reach a deeper understanding of participants’ individual behaviours and distinguish different models of musical interaction between children and adults.
Modern data analysis tools have to work on high-dimensional data, whose components are not independently distributed. High-dimensional spaces show surprising, counter-intuitive geometrical properties ...that have a large influence on the performances of data analysis tools. Among these properties, the concentration of the norm phenomenon results in the fact that Euclidean norms and Gaussian kernels, both commonly used in models, become inappropriate in high-dimensional spaces. This papers presents alternative distance measures and kernels, together with geometrical methods to decrease the dimension of the space. The methodology is applied to a typical time series prediction example.
Introduction
In agriculture, accurate hydrological information is crucial to infer water requirements for hydrological modeling, as well as for appropriate water management.
Methods
To achieve this ...purpose, geophysical frequency domain electromagnetic induction (FDEM) measurements are increasingly used for integration with traditional point-scale measurements to provide effective soil moisture estimations over large areas. The conversion of electromagnetic properties to soil moisture requires specific tools that must take into account the spatial variability of the two measurements and the data and model uncertainties. In a vineyard of about 4.5 ha located in Southern Italy, we tested an innovative assessment approach that uses a freeware code licensed from USGS, MoisturEC, to integrate electromagnetic data, collected with a CMD Mini-Explorer electromagnetic sensor, and point-scale soil moisture data.
Results
About 30,000 data measurements of apparent electrical conductivity (sa) allowed us to build a 3D inverted electromagnetic model obtained via an inversion process. Soil properties at different depths were inferred from the FDEM model and confirmed through the ground truth sampling.
Discussion
The data analysis tool allowed a more accurate estimation of the moisture distribution of the investigated area by combining the accuracy of the point-scale soil moisture measurements and the spatial coverage of the electrical conductivity (EC) data. The results confirmed the capability of the electromagnetic data to accurately map the moisture content of agricultural soils and, at the same time, the need to employ integrated analysis tools able to update such quantitative estimations in order to optimize soil and water management.
Heart sound detection technology plays an important role in the prediction of cardiovascular disease, but the most significant heart sounds are fleeting and may be imperceptible. Hence, obtaining ...heart sound information in an efficient and accurate manner will be helpful for the prediction and diagnosis of heart disease. To obtain heart sound information, we designed an audio data analysis tool to segment the heart sounds from single heart cycle, and validated the heart rate using a finger oxygen meter. The results from our validated technique could be used to realize heart sound segmentation. Our robust algorithmic platform was able to segment the heart sounds, which could then be compared in terms of their difference from the background. A combination of an electronic stethoscope and artificial intelligence technology was used for the digital collection of heart sounds and the intelligent identification of the first (S1) and second (S2) heart sounds. Our approach can provide an objective basis for the auscultation of heart sounds and visual display of heart sounds and murmurs.
In testing for main effects, the use of orthogonal contrasts for balanced designs with the factor levels not ordered is well known. Here, we consider two-factor fixed-effects ANOVA with the levels of ...one factor ordered and one not ordered. The objective is to extend the idea of decomposing the main effect to decomposing the interaction. This is achieved by defining level–degree coefficients and testing if they are zero using permutation testing. These tests give clear insights into what may be causing a significant interaction, even for the unbalanced model.
We have designed and built a versatile modularized software library—ODYN—that wraps a comprehensive set of advanced data analysis methods meant to facilitate the study of turbulence, nonlinear ...dynamics, and complexity in space plasmas. The Python programming language is used for the algorithmic implementation of models and methods devised to understand fundamental phenomena of space plasma physics like elements of spectral analysis, probability distribution functions and their moments, multifractal analysis, or information theory. ODYN is an open‐source software analysis tool and freely available to any user interested in turbulence and nonlinear dynamics analysis and provides a tool to perform automatic analysis on large collections of space measurements, in situ or simulations, a feature that distinguishes ODYN from other similar software. A user‐friendly configurator is provided, which allows customization of key parameters of the analysis methods, most useful for nonprogrammers.
Key Points
We describe an open‐source software data analysis tool based on Python
The software includes a large portfolio of methods to analyze turbulence and nonlinear dynamics and visualize the results
The software tool is adapted to ingest and process large collections of spacecraft data as well as results of numerical simulations
Data Analysis and Visualization play a significant role today. The data represented graphically are more attractive and easily understandable. The paper aims to describe the design and development ...cycle of a flight data visualization tool. This tool facilitates a graphical analysis of critical flight parameters, which aids in deciding the upcoming operation during the testing stage. Data has always been a constant element in every field of work. Data analysis has evolved from manual to computational methods in recent years and is widely used for pre and post-research purposes. To achieve high accuracy and fast computation, high-level programming languages produce graphical data within a smaller framework of time, enabling quick analysis.
Simulation modeling is useful to understand the mechanisms of the diffusion of innovations, which can be used for forecasting the future of innovations. This study aims to make the identification of ...such mechanisms less costly in time and labor. We present an approach that automates the generation of diffusion models by: (1) preprocessing of empirical data on the diffusion of a specific innovation, taken out by the user; (2) testing variations of agent-based models for their capability of explaining the data; (3) assessing interventions for their potential to influence the spreading of the innovation. We present a working software implementation of this procedure and apply it to the diffusion of water-saving showerheads. The presented procedure successfully generated simulation models that explained diffusion data. This progresses agent-based modeling methodologically by enabling detailed modeling at relative simplicity for users. This widens the circle of persons that can use simulation to shape innovation.
•We present an automation approach to generate agent-based innovation diffusion models.•Proof of concept is given by a working software implementation of this procedure.•The approach is demonstrated by modeling the diffusion of water-saving showerheads.•Results highlight importance of word-of-mouth at diffusion of household applicances.
To advance the extant literature on message exchange framework, the current study represents an initial attempt to evaluate verbal communication in sport teams as it relates to (a) nonverbal ...communication sensitivity and (b) competitive performance. Verbal communication behaviours in a National Collegiate Athletic Association Division I male tennis team were observed during doubles matches. These were subsequently related to the players' nonverbal sensitivity scores measured by the Profile of Nonverbal Sensitivity (PONS) test. To capture between-the-point communication, matches were videotaped. Verbal communication data were coded and analysed using the Data Analysis Tool software. The results indicated that relative to their losing counterparts, winning players exhibited greater levels of verbal communication and had a tendency to score higher on the nonverbal sensitivity items in the PONS. Specifically, relative to losing teams who made greater use of nontask-related statements, winning teams made frequent use of emotional, action, encouragement, and planning statements. Communication patterns within the winning teams were also more homogenous and reliable. Moreover, the players in these teams were more sensitive to nonverbal cues, which potentially enhanced communication and game planning for these teams.
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