Interhemispheric transport of viable fungi and bacteria from Africa to the Caribbean with soil dust

Abstract

The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify unknown motifs of a non specified length which repeat within time series data. The power of the algorithm comes from the fact that it uses a small number of parameters with minimal assumptions regarding the data being examined or the underlying motifs. Our interest lies in applying the algorithm to financial time series data to identify unknown patterns that exist. The algorithm is tested using three separate data sets. Particular suitability to financial data is shown by applying it to oil price data. In all cases the algorithm identifies the presence of a motif population in a fast and efficient manner due to the utilisation of an intuitive symbolic representation. The resulting population of motifs is shown to have considerable potential value for other applications such as forecasting and algorithm seeding.

The Impact of Atmospheric Dry Deposition Associated Microbes on the Southeastern Mediterranean Sea Surface Water following an Intense Dust Storm

“…Aerosols, including mineral-dust, are regularly transported across marine systems, supplying nutrients and trace metals to the surface water (Prospero et al, 2005). Aerosols may also contain a wide array of microorganisms (reviewed in Griffin, 2007;Després et al, 2012;Polymenakou, 2012), which can be transported thousands of kilometers from their place of origin within a few days (Prospero et al, 2005;Kellogg and Griffin, 2006).…”

“…Aerosols may also contain a wide array of microorganisms (reviewed in Griffin, 2007;Després et al, 2012;Polymenakou, 2012), which can be transported thousands of kilometers from their place of origin within a few days (Prospero et al, 2005;Kellogg and Griffin, 2006). These aerosol-associated (airborne) microbes may include heterotrophic bacteria (e.g., Seifried et al, 2015), fungi (e.g., Dannemiller et al, 2014), cyanobacteria, chemolitoptophic bacteria, and other autotrophic algae (e.g., Marshall and Chalmers, 1997;Lang-Yona et al, 2014;Gat et al, 2016), as well as viruses (e.g., Chow and Suttle, 2015).…”

Impacts of increasing the aerosol complexity in the Met Office global numerical weather prediction model

“…Aerosol particles can also be hazardous to human health, severely reducing visibility and affecting air quality Prospero, 2001). It has also been proposed that mineral dust particles provide an effective medium for the efficient transport of bacteria, and potentially pathogens, across large regions of the globe (Prospero et al, 2005). Furthermore, dust can adversely impact aviation, military operations and technology in dustprone locations.…”

Source-to-sink magnetic properties of NE Saharan dust in Eastern Mediterranean marine sediments: review and paleoenvironmental implications

“…Eolian dust, moreover, is implicated in a wide range of environmental processes, including soil formation (McTainsh and Strong, 2007), fertilization of continental environments such as forests and lake systems (McTainsh and Strong, 2007), coral contamination (Shinn et al, 2000), and human health problems (Prospero et al, 2005), among others (see Field et al, 2010 for a review). In addition to being a driver of climate and ecological change, eolian dust that accumulates in different environments such as loess/paleosol sequences (Ding et al, 2002), ice cores (Bory et al, 2003), and marine sediments (Yamazaki and Ioka, 1997;Bailey et al, 2011;Roberts et al, 2011) provides an opportunity to study past climate variations and atmospheric dynamics.…”