EMERGING TRADE PRACTICES AND TRENDS IN THE FRUIT AND VEGETABLE MARKETS

International Relations/Trade,

EVOLVING VEGETABLE TRADING RELATIONSHIPS: THE CASE OF MEXICO AND CALIFORNIA

International Relations/Trade,

CHALLENGES AND OPPORTUNITIES IN THE U.S. FRESH PRODUCE INDUSTRY

Crop Production/Industries,

AN OVERVIEW OF KEY FOOD INDUSTRY DRIVERS: IMPLICATION FOR THE FRESH PRODUCE INDUSTRY

Agribusiness,

FUNDAMENTAL FORCES AFFECTING THE U.S. FRESH BERRY AND LETTUCE/LEAFY GREEN SUBSECTORS

Berries, Competitiveness, Fresh Produce, Leafy Greens, Lettuce, Market Forces, Porter's Five Forces, Shipper, Structural Change, Resource /Energy Economics and Policy, Q13, L10, L22, M21,

Substructure Discovery Using Minimum Description Length and Background Knowledge

The ability to identify interesting and repetitive substructures is an essential component to discovering knowledge in structural data. We describe a new version of our SUBDUE substructure discovery system based on the minimum description length principle. The SUBDUE system discovers substructures that compress the original data and represent structural concepts in the data. By replacing previously-discovered substructures in the data, multiple passes of SUBDUE produce a hierarchical description of the structural regularities in the data. SUBDUE uses a computationally-bounded inexact graph match that identifies similar, but not identical, instances of a substructure and finds an approximate measure of closeness of two substructures when under computational constraints. In addition to the minimum description length principle, other background knowledge can be used by SUBDUE to guide the search towards more appropriate substructures. Experiments in a variety of domains demonstrate SUBDUE's ability to find substructures capable of compressing the original data and to discover structural concepts important to the domain. Description of Online Appendix: This is a compressed tar file containing the SUBDUE discovery system, written in C. The program accepts as input databases represented in graph form, and will output discovered substructures with their corresponding value.Comment: See http://www.jair.org/ for an online appendix and other files accompanying this articl

The experiences of accession 8 migrants in England : motivations, work and agency

Drawing on a recently completed qualitative study in a northern English city, this paper explores motivations and experiences of Accession 8 (A8) migrants who have entered the United Kingdom following the expansion of the European Union in 2004. The paper considers commonalities and differences among the group of migrants routinely referred to as A8 migrant workers/labourers. Diversity is apparent in three particular respects: first, the motivations and forms of movement undertaken; second, their experiences of work within the UK paid labour market; and third, the extent to which the act and experience of migration offers new individual and collective opportunities and potentially opens up spaces for people to negotiate structural constraints and reconfigure aspects of their identity

Network-wide assessment of 4D trajectory adjustments using an agent-based model

This paper presents results from the SESAR ER3 Domino project. It focuses on an ECAC-wide assessment of two 4D-adjustment mechanisms, implemented separately and conjointly. These reflect flight behaviour en-route and at-gate, optimising given (cost) objective functions. New metrics designed to capture network effects are used to analyse the results of a microscopic, agent based model. The results show that some implementations of the mechanisms allow the protection of the network from ‘domino’ effects. Airlines focusing on costs may trigger additional side-effects on passengers, displaying, in some instances, clear trade-offs between passenger- and flight-centric metrics