"... In PAGE 16: ... Within this deliverable D11 all IAI projects have been reviewed and mapped to a high-level process matrix in order to (1) provide for a wider and more strongly industry-relevant scope, and (2) start providing a roadmap of IFC development, as a major spin-off effect of the work, Further work and recommendations will be done in the subsequent deliverables D12 and D13. Table1 below summarises the IAI projects, their status and targeted IFC release. Table 1: Overview of IAI Projects ... In PAGE 17: ... Hence, this process can become a core capability in the object model that all disciplines should use during a facilities lifecycle. Means of Escape (IAI Project AR-4) As mentioned in Table1 above, this project has been superseded by project CS-4. Initially, it has targeted 2 stages.... ..."

"... In PAGE 19: ... Figure 4 shows that the bulk of Learning and Overal deltas came from machine learning contributions in scheduling and publishing the schedule to the website. Gains due to publishing the schedule to the website can be tied explicitly back to WbE, but is not the only place where WbE can contribute/detract from overal performance ( Table7 ). Note that while the Email Clasifier contributes to many factors of the score function, its role is to surface the task and not to asist with the completion of the task itself.... ..."

"... In PAGE 8: ...able 7: Group - gender composition..................................................................48 Table8 : Frequency of participants and group projects .... In PAGE 57: ... Only 10.9% (7) participants had never worked on group projects before (see Table8 ). Although an analysis of the number of group projects by department was performed, no obvious relationship ... ..."

"... In PAGE 2: ... We used two main criteria for selecting OSS projects to contact: (1) they should not be developed by professionals and (2) the product should be targeted at mainstream users. This resulted in a total of twenty-four respondents located in fourteen different countries, see Table1 . Via mailings lists and websites related to the projects, we found that the minimum number of contributors that received the invitation to participate in the question- naire was 293.... ..."

"... In PAGE 5: ............................................................... 40 TABLES Table1 : Disbursement Performance of NRDP Projects, by State .... In PAGE 22: ... The new program became effective on September 30, 1993, utilizing an undisbursed balance of US$484.7 million, or close to 60 percent of the loan amount approved for NRDP projects ( Table1 ). Poorly performing components implemented by public-sector agencies such as agricultural extension, research and credit were discontinued.... In PAGE 25: ... Disbursements. Table1 presents disbursement progress (including funds already committed) since reformulation for each participating state, as of February 15, 1995. In just over a year, a total of US$108.... ..."

"... In PAGE 36: ... Table8 shows the taxonomy of operators apos; misconceptions. There were fewer categories here ... In PAGE 37: ... Table8 Misconceptions of operators about the design or design intentions Expectation Explanation Example Alarms contradicting other indicators can be ignored All that needs to be known is contained in procedures Automated systems can be substituted by manual ones Everyday intuition is a good guide to hazards If a test for X is positive then X is true The design of the system is consistently protective Equipment to be worked on is identifiable unambiguously The past is a good guide to the future The system and its safety devices work perfectly There is only one indicator for every parameter What is available is what is needed When equipment stops someone carrying out their required task it is faulty When the rationale for something is not obvious it does not matter Work or attention can be offloaded onto safety systems Belief that false alarms are more likely than failed indicators Belief that knowledge contained in sequential instructions is adequate Belief that manual strategies can replace normally automated system Belief that intuitive science can predict the effect of one apos;s actions Belief that positive test inevitably means hypothesis confirmed Belief that design will be protective to a consistent degree Belief that heuristics for identifying components will work dependably Belief that past strategies can be reused if no contrary indication Belief that precautionary systems perform perfectly, perfectly reliably Belief that can rely on one indicator to monitor a performance variable Belief that artefacts provided are for that reason suitable for the task Belief that an object that confounds the performance of a reasonable task must have failed Belief that objects that have no obvious rationale have arbitrary functions Belief that redundant precautionary systems can be used routinely Indicator showed pump stopped so over-temperature alarm ignored Followed rule that CI engines tolerable inappropriate after vapour leak Failed to confirm action following instruction in manual filling operation Ignored possibility of rapid corrosion generating unbreathable atmosphere Believed blockage test implicated valve when it was a relief that was blocked Expected that a detector that would not fully engage would still be operational Believed that label order followed order of objects that labels referred to Treated substance as though it were one normally transported by this means Expected closed isolation valves to obviate need for slip plate Failed to scan chart recorder to verify failed main instrument reading Ignored high substance concentration when used hose available to hand Defeated interlock which had forgotten to activate Deviated from mandated operating sequence in order to avoid effort of repeated climb Used safety trip with finite reliability to routinely turn off heater when flow stopped ... ..."

"... In PAGE 15: ... 6. Table 3 presents the average performance obtained by the genetic algorithm over all 120 evolutionary runs, divided according to the three experimental categories discussed above (a more detailed account of our results can be found in Table7 , which lists the top evolved 45 systems). Table 4 compares our best systems with the top systems obtained by four other rule-based diagnostic approaches.... ..."

"... In PAGE 5: ...able 8: Negative physical and psychological Effects ..................................................................19 Table9 : Factors influencing use of ecstasy.... In PAGE 20: ... Factors influencing use of ecstasy All participants were asked to identify the most important risk factor that would influence their decision regarding whether to use ecstasy. These reasons are presented in Table9 . The risk of developing emotional and mood problems was the most commonly cited risk factor (31%), followed by the risk of financial difficulty (19%) and the risk of impact on school or work performance (16%).... ..."