29 research outputs found
Field test of a silver-impregnated ceramic water filter
The silver-impregnated Ceramic Water Purifier (CWP) is a low-cost household water filter that removes micro-biological
contamination at the point of use. One thousand CWPs were distributed in twelve Cambodian villages to test their effectiveness
under conditions of rural household use. Water quality tests (n=686) were conducted to measure filter performance.
A control group comparison survey (n=201) and a baseline and follow-up survey (n=1,000) measured impacts on
household health and expenses. Ninety-nine percent of CWPs produced water meeting WHO ālow riskā guidelines or better
(10 or fewer E. coli per 100 ml). Households that used CWPs experienced significantly lower incidence of diarrhoea than
households without CWPs. Households that had previously boiled their drinking water experienced savings in time and
expenses after using the CWP. The CWPās low production cost (US$5.50) opens the possibility of reaching large numbers
of the rural poor through sustainable market channels
Carbon Footprint Analysis of Gasoline and Diesel from Forest Residues and Algae using Integrated Hydropyrolysis and Hydroconversion Plus FischerāTropsch (IH<sup>2</sup> Plus cool GTL)
Life cycle analysis
was conducted with a focus on greenhouse gas
(GHG) emissions of renewable gasoline and diesel produced by the integrated
hydropyrolysis and hydroconversion (IH<sup>2</sup>) and the new IH<sup>2</sup> plus FischerāTropsch (IH<sup>2</sup> Plus cool GTL)
processes. This new process has a primary objective of increasing
the yield of biofuel relative to original IH<sup>2</sup> process (increase
of 26% to 38% wt) by processing the C1āC3 gas co-products through
an integrated FischerāTropsch unit to produce liquid-range
hydrocarbon biofuel. For both biofuel processes, woody biomass residues
(forest logging and saw mills) and algae were investigated as feedstocks.
The effect of the electricity generation mix of different states in
the U.S. was also examined for algae cultivation. For woody residues
as feedstock, life cycle GHG emission savings of about 86.8% and 63.3%
were calculated for the IH<sup>2</sup> and optimized-IH<sup>2</sup> Plus cool GTL hydrocarbon biofuel, respectively, relative to fossil-derived
fuel. For algae as feedstock, emission increases of about 140% and
103% were calculated for the IH<sup>2</sup> and optimized-IH<sup>2</sup> Plus cool GTL, respectively, relative to fossil-derived fuel. The
electricity grid mix of the biorefinery location significantly impacts
the GHG emissions of the processes for algae feedstock. GHG savings
of about 42% can be potentially achieved if the plant was located
in an area with a low GHG intensity grid. This study has shown that
a significant biofuel yield boost can be achieved while retaining
high GHG savings by using IH<sup>2</sup> Plus cool GTL for a woody
feedstock
Comparison of the three assemblies for the subset of the 21 BACs from the Rat genome.
<p>The āoriginal Atlas with UMD Plausibleā and āoriginal Atlas with UMD reliableā assembly results obtained by substituting Phrap for PhrapUMD with UMD plausible and reliable overlaps respectively. The best assembly (the bottom line) uses PhrapUMD and UMD reliable overlaps utilizing the 2-pass approach described in the ā<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0001836#s2" target="_blank">Methods</a>ā section. It has almost 3% more sequence matching finished sequence than original Atlas with Phrap at less than 1/4 the original base error rate.</p
Two alignments of assemblies to the finished sequence of BAC GQQD.
<p>The original Atlas assembly created two scaffolds only covering 73.2% of the finished sequence. Note the misplaced 20 Kb segment in the Atlas assembly. The UMD+Atlas assembly of GQQD correctly places the 20 Kb section originally misplaced and creates a single scaffold of the BAC covering 93.3% of the finished sequence. This UMD+Atlas assembly used reliable overlaps. This was the BAC that gave Atlas the most trouble.</p
Illustration of the technique that identifies reliable overlaps: (a) a scenario where a genome contains two copies of a repeat region R.
<p>The correct positions of reads A, B, C and D are shown. (b) A āforkā in the overlaps. (c) a scenario where reads A and D have the same sequencing error at the same base.</p
Two alignments of assemblies to the finished sequence of BAC GMEZ.
<p>The original Atlas assembly created a single scaffold. The UMD+Atlas assembly of GMEZ assembled a 26 Kb section from the middle of the bigger scaffold into a separate Scaffold 1. Note that the large scaffold gap in the Scaffold 2 is estimated correctly. This UMD+Atlas assembly used reliable overlaps. This was the BAC that gave UMD+Atlas the most trouble and the only case where UMD+Atas assembly had two scaffolds.</p
A local case study of two contrasting adjacent environments ā False Bay (represented here by Muizenberg) which is an embayment mostly protected from coastal upwelling, and Kommetjie located on the exposed Atlantic side of the Cape Peninsula where wind-driven upwelling is prevalent.
<p>The <i>in situ</i> temperatures and satellite-derived SST data (MODIS Terra and Patherfinder) are presented in the form of a whisker-box plot (Ā± 1 SD around the mean).</p
Alongshore seasonal trends (February ā=ā summer; August ā=ā winter) for <i>in situ</i> temperatures on the south coast of South Africa and concomitant biases in equivalent satellite-derived SST products: (a) indicates the locations of measurement sites; (b) <i>in situ</i> temperature with annual mean, summer and winter climatologies; (c, d) relative biases in the equivalent satellite-derived products of Pathfinder and MODIS Terra.
<p>The coloured lines in (c) and (d) depict the bias measured at 0, 5, 10, 15 and 20 km from the coast (see key).</p
(a) Interpolated summertime inshore <i>in situ</i> temperature data for the entire coast between measurement sites 1-87 (Port Nolloth to Sodwana Bay).
<p>These same data are also plotted in the lower panel (b) to further highlight the alongshore gradients. The middle and upper panels in (b) show the seasonal mean monthly <i>in situ</i> temperature for August and February respectively representing winter and summer.</p