An electropalatographic study of Greek spontaneous speech

2001 ◽  
Vol 31 (1) ◽  
pp. 67-85 ◽  
Author(s):  
Katerina Nicolaidis
Keyword(s):  
Temporal Variability ◽  
Spontaneous Speech ◽  
Connected Speech ◽  
Theoretical Frameworks ◽  
Spatio Temporal ◽  
The Relationship ◽  
Production Characteristics

This paper aims to examine spatio-temporal variability during the production of the lingual consonants /t, d, s, z, k, g l, n, XXX/ in a sample of Greek spontaneous speech. It provides a description of the range of segmental variability and explores the relationship between articulatory and temporal variability. It also discusses instances of common connected speech processes including assimilations and deletions. Data from two Greek speakers producing a monologue was recorded with the technique of electropalatography (Reading EPG system). The results indicated that segmental variability ranges over a continuum from over-articulated to under-articulated forms, i.e. fully articulated tokens to very open articulations. In addition, duration dependent variability was found to be a function of the production characteristics of the consonant. Evidence of both gradient and categorical changes in spontaneous speech were suggested by the data and are discussed with reference to current theoretical frameworks.

scholarly journals A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production

2011 ◽  
Vol 68 (3) ◽  
pp. 528-536 ◽  
Author(s):  
Miguel Bernal ◽  
Yorgos Stratoudakis ◽  
Simon Wood ◽  
Leire Ibaibarriaga ◽  
Luis Valdés ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Environmental Variables ◽  
Egg Production ◽  
Stock Assessment ◽  
Production Model ◽  
Estimation Methods ◽  
Statistical Framework ◽  
Spatio Temporal ◽  
The Relationship ◽  
Made In

Abstract Bernal, M., Stratoudakis, Y., Wood, S., Ibaibarriaga, L., Uriarte, A., Valdés, L., and Borchers, D. 2011. A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production. – ICES Journal of Marine Science, 68: . A spatially and environmentally explicit egg production model is developed to accommodate a number of assumptions about the relationship between egg production and mortality and associated environmental variables. The general model was tested under different assumptions for Atlanto-Iberian sardine. It provides a flexible estimator of egg production, in which a range of assumptions and hypotheses can be tested in a structured manner within a well-defined statistical framework. Application of the model to Atlanto-Iberian sardine increased the precision of the egg production time-series, and allowed improvements to be made in understanding the spatio-temporal variability in egg production, as well as implications for ecology and stock assessment.

scholarly journals Relationship Between Spatio-Temporal Leaf Area Index and Crop Coefficient When Monitoring Coffee Plots in Brazil Using the Sentine-2

2019 ◽  
Vol 11 (15) ◽  
pp. 187
Author(s):  
Carolina Jaramillo-Giraldo ◽  
Williams Pinto Marques Ferreira ◽  
Humberto Paiva Fonseca ◽  
Marcelo de Freitas Ribeiro ◽  
Laís Maria Rodrigues Silva ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Temporal Variability ◽  
Crop Coefficient ◽  
Area Index ◽  
Directional Information ◽  
Production Area ◽  
Spatio Temporal ◽  
The Relationship ◽  
Sentinel 2

Robust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European Space Agency (ESA) initiative. RS data provides valuable opportunities for detailed assessments of crop conditions at plot level using high spatial, spectral, and temporal resolution. This study addresses the monitoring of coffee at the plot level using RS, analyzing the relationship between the spatio-temporal variability of the Leaf Area Index (LAI) and the crop coefficient (Kc); the Kc being a biophysical variable that integrates the potential hydrological characteristics of an agroecosystem compared to the reference crop. Daily and one-year Kc were estimated using the relation of crop evapotranspiration and reference. ESA Sentinel-2 images were pre-analyzed and atmospherically corrected, and Top-of-the-Atmosphere (TOA) reflections converted to Top-of-the-Canopy (TOC) reflectance. The TOCs resampled at the 10m resolution, and with the angles corresponding to the directional information at the time of the acquisition, the LAI was estimated using the trained neural network available in the Sentinel Application Platform (SNAP). During 75% of the monitored days, Kc ranged between 1.2 and 1.3 and, the LAI analyzed showed high spatial and temporal variability at the plot level. Based on the relationship between the biophysical variables, the LAI variable can substitute the Kc and be used to monitor the water conditions at the production area as well as analyze spatial variability inside that area. Sentinel-2 products could be more useful in monitoring coffee in the farm production area.

The Decision Process of Contracting in Supply Chain Management

2020 ◽  
Author(s):  
Jens K. Roehrich ◽  
Beverly B. Tyler ◽  
Jas Kalra ◽  
Brian Squire
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Process ◽  
Interorganizational Relationships ◽  
Future Research ◽  
Theoretical Frameworks ◽  
Chain Management ◽  
Research And Practice ◽  
Future Developments ◽  
The Relationship

Contracts are a formal mode of governing interorganizational relationships. They specify the terms and conditions of the agreement between two parties, interpret and adapt the relevant legal and industrial norms, serve as framing devices, and establish the rules and norms underpinning the relationship. The objective of this chapter is to synthesize the extant literature on interorganizational contracting to guide future research and practice. This chapter focuses on the three phases of contracting: (1) designing the contracting portfolio; (2) negotiating initial contracts; and (3) managing the relationship using contracts. The chapter explores the key decisions in each phase and the criteria involved in making these decisions. In doing so, it draws on existing research and theoretical frameworks that have contributed to the development of the contracting literature. The chapter also identifies some important and interesting directions for future contracting research and offers suggestions regarding how selected theoretical lenses might guide these endeavors. The principal conclusion is that while the existing research has primarily focused on the structural issues guiding contracting design, a more processual, social, and behavioral focus is required in future developments of the contracting literature.

scholarly journals Meaningful Work, Job Resources, and Employee Engagement

2021 ◽  
Vol 13 (7) ◽  
pp. 4045
Author(s):  
Simon L. Albrecht ◽  
Camille R. Green ◽  
Andrew Marty
Keyword(s):  
Employee Engagement ◽  
Structural Equation ◽  
Meaningful Work ◽  
Organizational Outcomes ◽  
Job Resources ◽  
Psychological State ◽  
Future Research ◽  
Theoretical Frameworks ◽  
Positive Direct ◽  
The Relationship

Meaningful work and employee engagement have been the subject of increasing interest in organizational research and practice over recent years. Both constructs have been shown to influence important organizational outcomes, such as job satisfaction, wellbeing, and performance. Only a limited amount of empirical research has focused on understanding the relationship within existing theoretical frameworks. For this study, meaningful work is proposed as a critical psychological state within the job demands-resources (JD-R) model that can therefore, in part, explain the relationship between job resources and employee engagement. Survey data collected from 1415 employees working in a range of organizations, across a number of industries, were analyzed with confirmatory factor analysis (CFA) and structural equation modelling (SEM). In support of expectations, job variety, development opportunities, and autonomy, each had a significant and positive direct association with meaningful work. These job resources also had a significant and positive indirect effect on employee engagement via meaningful work. Although job variety, development opportunities, autonomy, and feedback had significant positive direct associations with engagement, contrary to expectations, supervisor support had a negative association with engagement. The final model explained a sizable proportion of variance in both meaningful work (49%) and employee engagement (65%). Relative weights analyses showed that job variety was the strongest job resource predictor of meaningful work, and that meaningful work was more strongly associated with employee engagement than the job resources. Overall, the results show that meaningful work plays an important role in enhancing employee engagement and that providing employees with skill and task variety is important to achieving that goal. Practical implications, study limitations, and future research opportunities are discussed.

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