A-7, Statistical Report On FIP Applications And Cases Discontinued, October 2004

Statistical Report On FIP Applications And Cases Discontinued

A-1 Monthly Public Assistance Statistical Report Family Investment Program, November 2004

Monthly Public Assistance Statistical Report Family Investment Program

A-7 Statistical Report On FIP Applications And Cases Discontinued, November 2004

A-7 Statistical Report On FIP Applications And Cases Discontinued

A-1 Monthly Public Assistance Statistical Report Family Investment Program, December 2004

A-1 Monthly Public Assistance Statistical Report Family Investment Program

A-7 Statistical Report On FIP Applications And Cases Discontinued, November 2004 (Revised)

Statistical Report On FIP Applications And Cases Discontinued

A-7 Statistical Report On FIP Applications And Cases Discontinued, December 2004

Statistical Report On FIP Applications And Cases Discontinued

A-7, Statistical Report On FIP Applications And Cases Discontinued, November 2004

Statistical Report On FIP Applications And Cases Discontinued

A-1 Monthly Public Assistance Statistical Report Family Investment Program, January 2005

A1-Monthly Public Assistance Statistical Report Family Investment Program

A-7 Statistical Report On FIP Applications And Cases Discontinued, January 2005

A-7 Statistical Report On FIP Applications And Cases Discontinued

Modeling the biophysical impacts of global change in mountain biosphere reserves

Mountains and mountain societies provide a wide range of goods and services to humanity, but they are particularly sensitive to the effects of global environmental change. Thus, the definition of appropriate management regimes that maintain the multiple functions of mountain regions in a time of greatly changing climatic, economic, and societal drivers constitutes a significant challenge. Management decisions must be based on a sound understanding of the future dynamics of these systems. The present article reviews the elements required for an integrated effort to project the impacts of global change on mountain regions, and recommends tools that can be used at 3 scientific levels (essential, improved, and optimum). The proposed strategy is evaluated with respect to UNESCO's network of Mountain Biosphere Reserves (MBRs), with the intention of implementing it in other mountain regions as well. First, methods for generating scenarios of key drivers of global change are reviewed, including land use/land cover and climate change. This is followed by a brief review of the models available for projecting the impacts of these scenarios on (1) cryospheric systems, (2) ecosystem structure and diversity, and (3) ecosystem functions such as carbon and water relations. Finally, the cross-cutting role of remote sensing techniques is evaluated with respect to both monitoring and modeling efforts. We conclude that a broad range of techniques is available for both scenario generation and impact assessments, many of which can be implemented without much capacity building across many or even most MBRs. However, to foster implementation of the proposed strategy, further efforts are required to establish partnerships between scientists and resource managers in mountain areas.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, February 2005

Monthly Public Assistance Statistical Report Family Investment Program

A-7 Statistical Report On FIP Applications And Cases Discontinued, February 2005

Statistical Report On FIP Applications And Cases Discontinued

A-1 Monthly Public Assistance Statistical Report Family Investment Program, March 2005

A-1 Monthly Public Assistance Statistical Report Family Investment Program

Suitability of GRIND-based principal properties for the description of molecular similarity and ligand-based virtual screening

The information provided by the alignment-independent GRid Independent Descriptors (GRIND) can be condensed by the application of principal component analysis, obtaining a small number of principal properties (GRIND-PP), which is more suitable for describing molecular similarity. The objective of the present study is to optimize diverse parameters involved in the obtention of the GRIND-PP and validate their suitability for applications, requiring a biologically relevant description of the molecular similarity. With this aim, GRIND-PP computed with a collection of diverse settings were used to carry out ligand-based virtual screening (LBVS) on standard conditions. The quality of the results obtained was remarkable and comparable with other LBVS methods, and their detailed statistical analysis allowed to identify the method settings more determinant for the quality of the results and their optimum. Remarkably, some of these optimum settings differ significantly from those used in previously published applications, revealing their unexplored potential. Their applicability in large compound database was also explored by comparing the equivalence of the results obtained using either computed or projected principal properties. In general, the results of the study confirm the suitability of the GRIND-PP for practical applications and provide useful hints about how they should be computed for obtaining optimum results.