Paola Mercogliano

‘Running on Emptiness – The Pathology of Civilisation’John Zerzan (2002) All religions have problems with ‘unbelievers’, but that response is insignificant compared to their visceral hatred of ‘apostates’.

We propose that the stricter of the safe and just target ranges for each variable should define the safe and just corridor (Figure 2). Furthermore, we propose to identify a spread of safe and just targets corresponding to different physical risk tolerances and different understandings of environmental justice.

daterange — Range of date, datemultirange — corresponding Multirange

A PFC assessment can be incorporated into an integrated riparian management process through a logical sequence of actions (figure 2). Figure 2. Recommended steps for managing riparian areas using an integrated process. After effectiveness monitoring has been done (step 6), initial objectives are validated and modified if necessary. After implementing adaptive actions, step 6 is repeated to monitor the effectiveness of those actions.Step 7: Implement adaptive actionsStep 6: Monitor and analyze the effectiveness of actions and update resource condition ratings (PFC)Step 5: Design and implement management and restoration actionsStep 4: Identify issues and establish goals and objectivesStep 3: Prioritize reaches for management, restoration, or monitoring actionsStep 2: Identify riparian resource values and complete additional assessmentsStep 1: Assess riparian area function using the PFC method • Identify assessment area and assemble an interdisciplinary team • Review existing information and delineate and stratify reaches • Determine the potential of the reach • Assess the reach and determine its functional rating (validate with monitoring data if necessary)Modifyobjectivesif necessaryMonitoradaptiveactions

Sweetshrub grows best in average to rich, well-drained soil in anywhere from full sun to deep shade. It prefers some shade in hot summer afternoons and it will grow lankier and less dense in shade than in sun. It is tolerant of a wide range of soil textures and pH but prefers rich loams.  Plant it 3 to 5 feet from other shrubs to give it adequate room to grow.  It blooms in early spring before leaves emerge, with the leaves, and sporadically thereafter.  

RSF1010 is maintained at a copy-number of about 10-12 per chromosome in E coli, P. aeruginosa and S. enterica sv.Typhimurium (Frey and Bagdasarian, 1989)

This work provides CasTn as a new method for host-independent, programmable, targeted DNA insertions to expand the genomic engineering toolbox.

The pBHR1 plasmid is a derivative of the small (2.6-kb), mobilizable broad-host-range plasmid pBBR1, which was isolated from the gram-negative bacterium Bordetella bronchiseptica

Among the fully sequenced BHR plasmids, most are classified as the well-known incompatibility groups, such as IncP-1 (41 plasmids), IncW (5 plasmids), and IncU (4 plasmids), based on the backbone genes

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I guess much like Range literals in general, it's often needed to have parens around them.

Why don't you allow a range without end, like (1..)? There are two advantages. First, we can write ary[1..] instead of ary[1..-1]. The -1 is one of the most I dislike in Ruby. It is very magical, ugly, redundant, and disappointing. I envy Python's ary[1:]. I know that ary.drop(1) is slightly fast, but too long for such a common operation, IMO. Second, we can write (1..).each {|n| ... }.

A beginless range is experimentally introduced. It might not be as useful as an endless range, but would be good for DSL purposes.

The host range for three of the plasmids (pBF1, pB7, and pB9) was further investigated by the GFP method described above

Plasmid pBBR1 thus appears to be a new member of this group, even though it resides in gram-negative bacteria and does not replicate via a rolling-circle mechanism

ages 2–10 y

RP4 has been shown to exhibit a very broad host range and has been demonstrated to efficiently transfer in activated sludge (22, 40), chicken manure (24), and the rhizospheres of various plants (38, 39).

The weakest first factor accounted for 18.3% of variance

(6-12H