Who is coming from Vanuatu to New Zealand under the new recognized Seasonal employer program ?

New Zealand's new Recognized Seasonal Employer program allows workers from the Pacific Islands to come to New Zealand for up to seven months to work in the horticulture and viticulture industries. One of the explicit objectives of the program is to encourage economic development in the Pacific. This paper reports the results of a baseline survey taken in Vanuatu, which the authors use to examine who wants to participate in the program, and who is selected among those interested. The findings show that the main participants are males in their late 20s to early 40s, and most are married and have children. Most workers are subsistence farmers in Vanuatu and have not completed more than 10 years of schooling. Such workers would be unlikely to be accepted under existing migration channels. Nevertheless, the program workers from Vanuatu tend to come from wealthier households, and have better English literacy and health than individuals not applying for the program. Lack of knowledge about the policy and the costs of applying appear to be the main barriers preventing poorer individuals applying.Access to Finance,Health Monitoring&Evaluation,Labor Markets,Housing&Human Habitats,Work&Working Conditions

Who is coming from Vanuatu to New Zealand under the new Recognised Seasonal Employer (RSE) Program?

New Zealand's new Recognised Seasonal Employer (RSE) program allows workers from the Pacific Islands to come to New Zealand for up to seven months to work in the horticulture and viticulture industries. One of the explicit objectives of the program is to encourage economic development in the Pacific. In this paper we report on the results of a baseline survey taken in Vanuatu, which allows us to examine who wants to participate in the program, and who is selected amongst those interested. We find the main participants are males in their late 20s to early 40s, most of whom are married and have children. Most workers are subsistence farmers in Vanuatu and have not completed more than 10 years of schooling. Such workers would be unlikely to be accepted under existing migration channels. Nevertheless, we find RSE workers from Vanuatu to come from wealthier households, and have better English literacy and health than individuals not applying for the program. Lack of knowledge about the policy and the costs of applying appear to be the main barriers preventing poorer individuals applying.

The Role of Shared Mental Models in Team Coordination Crew Resource Management Skills of Mutual Performance Monitoring and Backup Behaviors

The purpose of Crew Resource Management (CRM) is to improve flight crew coordination in multipiloted cockpits and in turn increase aviation flight safety. One aspect of CRM team coordination is the ability for flight crews to monitor each other properly and provide the appropriate backup if necessary. The author explores the role of shared mental models among Coast Guard rotary wing cockpit flight crews and their influence on monitoring and backup behaviors during nighttime overwater flight maneuvers. Using the Coast Guard’s MH-65 Operational Flight Trainer located at the Coast Guard Aviation Training Center in Mobile, Alabama, cockpit flight crews flew automated and manual instrument takeoff (ITO) maneuvers. Coast Guard CRM subject matter experts observed the interaction of the cockpit flight crews judging the level of mutual performance monitoring and backup behaviors during the ITO maneuvers. Using a repeated measures design, the researcher investigated the relationship and interaction between ITO maneuver shared mental model, type of ITO maneuver, and pilot flight time on cockpit flight crew monitoring and backup behaviors. Findings indicate a significant relationship between cockpit automation and levels of mutual performance monitoring and backup behaviors in cockpit flight crews

Implementation Challenges and Training Needs for Comprehensive School Counseling Programs in Wisconsin High Schools

The data from this study details the challenges to implementing comprehensive school counseling programs in Wisconsin high schools. Results suggest that current professional development training practices may be ineffective in assisting high school counselors to implement key components of the ASCA National Model in their schools. This article discusses obstacles to conducting more rigorous, statewide evaluations, and describes connections to markers of student success

Modeling Dielectric-Constant Values of Geologic Materials: An Aid to Ground-Penetrating Radar Data Collection and Interpretation

Ground-penetrating radar (GPR) is a near-surface geophysical imaging technique used for non-intrusive subsurface geologic and engineering investigations. Dielectric constant is a critical parameter for GPR surveys because it controls propagation velocity of electromagnetic waves through material, reflection coefficients across interfaces of different materials, and vertical and horizontal imaging resolution. Dielectric constant in rocks and sediments is primarily a function of mineralogy, porosity, pore fluids, frequency, geometries, and electrochemical interactions between rock components. Reported dielectric-constant values for sedimentary rocks provide general ranges of expected values, but these values may not adequately represent rocks in specific field conditions. Time-propagation mixing modeling, a forward-modeling technique, was performed and showed good correlation between modeled and measured dielectric constants of selected sandstones and limestones. Additional models were constructed to investigate the role of lithology and fluid saturation on dielectric constant and GPR response. Three modeled rock examples of variable mineralogy, porosity, and saturation illustrate that bulk dielectric constant, which generally ranges from 2 to 38 in the materials modeled, is primarily controlled by water saturation and, secondarily, by porosity and mineralogy, although these variables are interdependent. Without data stacking, differences in dielectric constant must be greater than 2 to produce reflections that can be recorded above background noise. For the examples modeled, saturation differences of less than 35% between layers produced reflection signals above background noise, but in completely dry material, normal mineralogic and porosity differences may not produce discernible reflections without stacking.   &nbsp

Case Study: Understanding Solar Power Adoption in the United States

Solar energy use has grown substantially in recent years both in the United States and globally. The first solar battery was developed in 1954 by Bell Labs, and large scale solar plants began popping up in the 1980s and 1990s, but it wasn’t until the early 2000s that solar technology gained significantly in popularity. Two factors made this possible: a) new financial models that made solar technology more affordable and b) government subsidies for solar energy

Modeling Dielectric-constant Values of Geologic Materials: An Aid to Ground-penetrating Radar Data Collection and Interpretation

Ground-penetrating radar (GPR) is a near-surface geophysical imaging technique used for non-intrusive subsurface geologic and engineering investigations. Dielectric constant is a critical parameter for GPR surveys because it controls propagation velocity of electromagnetic waves through material, reflection coefficients across interfaces of different materials, and vertical and horizontal imaging resolution. Dielectric constant in rocks and sediments is primarily a function of mineralogy, porosity, pore fluids, frequency, geometries, and electrochemical interactions between rock components. Reported dielectric-constant values for sedimentary rocks provide general ranges of expected values, but these values may not adequately represent rocks in specific field conditions. Time-propagation mixing modeling, a forward-modeling technique, was performed and showed good correlation between modeled and measured dielectric constants of selected sandstones and limestones. Additional models were constructed to investigate the role of lithology and fluid saturation on dielectric constant and GPR response. Three modeled rock examples of variable mineralogy, porosity, and saturation illustrate that bulk dielectric constant, which generally ranges from 2 to 38 in the materials modeled, is primarily controlled by water saturation and, secondarily, by porosity and mineralogy, although these variables are interdependent. Without data stacking, differences in dielectric constant must be greater than 2 to produce reflections that can be recorded above background noise. For the examples modeled, saturation differences of less than 35% between layers produced reflection signals above background noise, but in completely dry material, normal mineralogic and porosity differences may not produce discernible reflections without stacking

Modeling Dielectric-constant Values of Geologic Materials: An Aid to Ground-penetrating Radar Data Collection and Interpretation

Ground-penetrating radar (GPR) is a near-surface geophysical imaging technique used for non-intrusive subsurface geologic and engineering investigations. Dielectric constant is a critical parameter for GPR surveys because it controls propagation velocity of electromagnetic waves through material, reflection coefficients across interfaces of different materials, and vertical and horizontal imaging resolution. Dielectric constant in rocks and sediments is primarily a function of mineralogy, porosity, pore fluids, frequency, geometries, and electrochemical interactions between rock components. Reported dielectric-constant values for sedimentary rocks provide general ranges of expected values, but these values may not adequately represent rocks in specific field conditions. Time-propagation mixing modeling, a forward-modeling technique, was performed and showed good correlation between modeled and measured dielectric constants of selected sandstones and limestones. Additional models were constructed to investigate the role of lithology and fluid saturation on dielectric constant and GPR response. Three modeled rock examples of variable mineralogy, porosity, and saturation illustrate that bulk dielectric constant, which generally ranges from 2 to 38 in the materials modeled, is primarily controlled by water saturation and, secondarily, by porosity and mineralogy, although these variables are interdependent. Without data stacking, differences in dielectric constant must be greater than 2 to produce reflections that can be recorded above background noise. For the examples modeled, saturation differences of less than 35% between layers produced reflection signals above background noise, but in completely dry material, normal mineralogic and porosity differences may not produce discernible reflections without stacking