Table 10 Sample Clauses

Table 10. The personal pronouns of Jula of Samatiguila (based on Bracconier 1989) XX XX 0 x xx 0 x áí

Table 10. Studies on hydrogen public acceptance published in the last five years and based on survey research with representative samples at the country or region level Ref. Year Country Data collection Research question or focus Population and sample Achterberg et al. 2010, 2014 The Netherlands Data gathered in 2008 through an online survey questionnaire The relationship between the information one has about the hydrogen technology, how one is culturally predisposed and the way one judge’s hydrogen technology. Representative sample of the Dutch population (n=2121) Tarigan et al. 2012 2012 Greater Stavanger, Norway Data set collection through a random telephone survey to 1270 phone numbers and interviews The effect of knowledge and environmental attitude on the likelihood of supporting the introduction of hydrogen vehicles and refuelling stations, the use of hydrogen vehicles in the future and willingness to pay more for hydrogen fuel. Sample of the general population. Two groups (back yard and general population) n=1000 Xxxxxx and Xxxxx 2012 Germany Survey questionnaire based on interviews and focus groups. Understand how people perceive hydrogen technologies and which opinions, mental images and attitudes toward hydrogen technologies they have. General population (1011 people were interviewed). Xxxxxx et al. 2013 The Netherlands Online questionnaire (action-related items) Knowing what motivates citizens intention to act in favour of or against hydrogen refuelling facilities Dutch citizens: Informed group / group control (no information) persons living less than 500m from a refuelling station were oversampled n=800  Xxxxxxxxxx, Xxxxxxx, xxx Xxxxxxx, & Xxxxxxxx (2010) and Xxxxxxxxxx (2014). The changing face of public support for hydrogen technology explaining declining support among the Dutch (2008–2013). This study was aimed at investigating levels of knowledge and support towards the introduction of hydrogen technologies among the general public in the Netherlands. The study was based on a cross-sectional survey with a representative sample of the Dutch population. The data were gathered in November 2008 among 2121 members of an online panel. The questionnaire was implemented online. Support for hydrogen was measured using nine items covering the support for hydrogen technology and the acceptability of hydrogen. To measure levels of knowledge about hydrogen, seven questions about hydrogen technology (based on the study by Xxxxxxxxx-Xxxxx & Xxxxxx (2006)) were po...

Table 10. Result 2.2.: Key knowledge gaps about populations, demographics and threats are addressed. Action Priority Timescale Organisations

Table 10. 9: CSTDA-funded non-residential service users with a psychiatric disability, by residential setting, living arrangement and income source, 2005–06 Service users (number)(a) Service users (per cent)(b) Residential setting Private residence 25,660 68.8 Domestic-scale supported living facility 2,088 5.6 Supported accommodation facility 2,365 6.3 Psychiatric/mental health community care facility 1,172 3.1 Residence within an Aboriginal community 74 0.2 Boarding house/private hotel 837 2.2 Independent living within a retirement village 68 0.2 Residential aged care facility 178 0.5 Hospital 53 0.1 Short-term crisis, emergency or transitional accommodation 607 1.6 Public place/temporary shelter 77 0.2 Other 938 2.5 Living arrangement Lives alone 9,611 25.8 Lives with family 14,185 38.0 Lives with others Income source (adult 16+ years)(c) 8,767 23.5 Disability Support Pension 22,214 60.8 Other pension/benefit 4,982 13.6 Paid employment 2,734 7.5 Compensation income 114 0.3 Other income 481 1.3 No income 624 1.7 Total 37,309 100.0

Table 10. Estimated target percentages of acceptances of students from maintained schools, for the given degree subject(s). Production of these estimates is detailed in Appendix B, and was based on 2014 and 2015 data. The Actual proportions shown are based on Table 5 acceptances data for the same years. The overall target produced (“All subjects incl. Maths”) based on 2014-15 data, which is closely comparable to that based on national A Level attainment data for 2014 (63.3%), is 63.5% (before adjustments). Interestingly, based on data for acceptances of Home Cambridge applicants with at least 3 A Levels only (Table 5), the University actually exceeded this proportion of admissions from the maintained school sector in recent years, with 65.1% admissions from maintained schools. This target estimate for “All subjects incl. Maths” was produced using degree subject information, i.e., although it applies to all subjects once calculated, information about degree subject was taken into account when calculating it. However, if we had not had, or had not used, this information about degree subject applied for, we could nonetheless have produced a less accurate target estimate; as shown in Table 10, this estimate would have been much higher, at 66.2%. As an interim conclusion, we have produced two similar maintained school student admissions targets of 63.3% and 63.5% (before adjustments), using methods based on national A Level attainment profiles by school type and Cambridge applicant A Level attainment profiles by school type, respectively. Several caveats apply to these targets, including that they were not adjusted to take account of choice of A Level subject, takers of alternative KS5 qualifications, or STEP results for Mathematics applicants. Adjustments to address these issues are discussed in the next section. Target adjustments and limitations In his 2011 paper, Xxxxxxx Xxxxxxxxxx discussed the need for adjustments to the maintained sector target to account for the factors discussed above, and concluded that it was appropriate to adjust the target based on national English A Level results by -1%12. If the same net level of adjustment were applied here, the resulting target estimate based on national attainment would be ~62.3%, which would more-or-less equate to a range of 61-64%. We decided that fully re-evaluating two of these adjustments was beyond the scope of this paper. First is the adjustment for STEP, which Xxxxxxx Xxxxxxxxxx set at 0% (i.e. no adjustment). T...

Table 10. Steel xxxxx in the Ghent/Terneuzen region and their CO/CO2 emissions Steel Xxxxx CO emissions Potential CO-based polyol capacity CO2 emissions Potential CO2-based polyol capacity ARCELORMITTAL BELGIUM - GHENT 94.2 kt/a 349 kt/a 4.110 kt/a 29,357 kt/a Total 94.2 kt/a 349 kt/a 4.110 kt/a 29,357 kt/a Steel xxxxx in the Duisburg/Essen region There are five steel manufacturing sites in the region of Duisburg/Essen with a total potential production capacity of CO-based polyols of more than 1,150 kt/a (Table 11Table). Almost 60% of this potential production capacity is due to the Hüttenwerke Xxxxx Mannesmann GmbH, which is located at a distance of about 20 km from the nearest ethylene pipeline (to its east) and about 10 km to the nearest propylene pipeline (to its north). Thus, a total of about 30 km of transport pipeline would be needed to connect to steel mill to the existing network. Another 35% of the potential production capacity can be allocated to the emissions of the thyssenkrupp Steel Europe XX Xxxx Schwelgern, which is located at a distance of about 5 km from the nearest ethylene pipeline (to its north) and about 3 km to the nearest propylene pipeline (to its east). Thus, a total of about 8 km of transport pipeline would be needed to connect to steel mill to the existing olefin pipeline network. In turn, an olefin-to- epoxide oxidation facility is necessary to convert the olefins to epoxides. Table 11: Steel xxxxx in the Duisburg/Essen region and their CO/CO2 emissions Steel Xxxxx CO emissions Potential CO-based polyol capacity CO2 emissions Potential CO2-based polyol capacity Hüttenwerke Xxxxx Mannesmann GmbH 185.0 kt/a 685 kt/a 5,130 kt/a 36,643 kt/a thyssenkrupp Steel Europe XX Xxxx Schwelgern 117.0 kt/a 433 kt/a 4,690 kt/a 33,500 kt/a thyssenkrupp Steel Europe XX Xxxx Beeckerwerth 7.3 kt/a 27 kt/a 889 kt/a 6,350 kt/a thyssenkrupp Steel Europe XX Xxxx Hamborn 4.4 kt/a 16 kt/a 1,320 kt/a 9,428 kt/a thyssenkrupp Steel Europe XX Xxxx Bruckhausen 3.9 kt/a 14 kt/a 516 kt/a 3,686 kt/a ArcelorMittal Ruhrort GmbH Werk Ruhrort 0.6 kt/a 2 kt/a 258 kt/a 1,843 kt/a Total 318 kt/a 1,177 kt/a 12,803 kt/a 91,450 kt/a Steel xxxxx in the Amsterdam region In the region of Amsterdam only one steel manufacturing plant, i.e., the Tata Steel IJmuiden BV, can be found. It can provide a potential CO-based polyol production capacity of more than 180 kt/a (Table 12). The nearest olefin source is located at the Port of Amsterdam at about 25 km distance. Again, an olefin-to-epo...

Table 10. Datastores Connected to Cluster (Performance and Capacity tabs) Description This view lists the datastores connected to the selected cluster and shows performance metrics associated with each datastore. Data displayed • Available Space. The amount of available space on the datastore. • I/O. The datastore data transfer rates. • Latency. The datastore latency. • Name. The datastore name and its alarm status. Table 11. ESX Hosts (Performance tab) Description This view lists the ESX hosts belonging to the selected cluster and associated with the selected datastore, and shows performance metrics associated with each ESX host. Data displayed • Name. The ESX host name or IP address. • Read. The ESX host data read rates. • Read Latency. The ESX host read latency. • Write. The ESX host data write rates. • Write Latency. The ESX host write latency. Table 12. ESX I/O Balance (Performance tab) Description This view shows the data transfer rates each ESX host belonging to the selected cluster and associated with the selected datastore. selected datastore. Data displayed • I/O Distribution. A pie chart indicating how much the individual virtual machines contributed to the use of I/O resources. • VM Offenders, Name. The name of the virtual machine. • VM Offenders, ESX Host Name. The name of the ESX host on which the ESX machine is running. • VM Offenders, I/O. The data transfer rate for the virtual machine. Storage tab (Datacenter) Purpose The VMware Explorer’s Storage tab displays the disk storage capacity associated with the selected component. Selecting a data center and opening this tab displays storage metrics for all Datastores associated with the selected Datacenter. Figure 62. Storage tab (Datacenter) How to Get Here 1 Open the VMware Explorer. 2 On the Virtual Infrastructure view, that appears on the navigation panel, select a Datacenter. This view is made up of the following embedded views: • Lowest Free Capacity Datastores • Datastores

Table 10. Showing responses of Sector 2 women to oral survey questions Prompt (N=10) Number who answered yes to prompt

Table 10. Relative importance of barriers to adaptation at national and Pa Enua levels, and the relative effort involved in Components 1 and 2 (H represents high barrier and high effort in the component; HH represents very high barrier and very high effort) Barrier National Component 1 Pa Enua Component 2 Absence of information and capacity to assess climate risks and implement climate change adaptation measures H HH Lack of comprehensive vulnerability and adaptation assessments H HH National response to climate change not well integrated into development processes - lack of integration of climate change risk and resilience into island level and sectoral development processes H HH The close link between the financing of climate change risk management related activities and budget constraints, requiring continued international assistance at the national level, with national participation HH H Lack of enforcement of climate policy and regulations, to facilitate and promote behavioural adjustments towards risk management practices H HH Land tenure issues impede sustainable development H HH Limited technical resources and human capacities to provide tailored information on climate change trends and associated risks, as well as monitoring of climate impacts on the natural resource base H HH Lack of systematic capturing and disseminating cross- sectoral adaptation experience H HH Considering the particular national and sub-national circumstances described above, at the operational level, overall cost effectiveness of the programme concept is reflected through the following considerations: ▪ Throughout the programme, programme resources will be aligned with the financing and delivery of programme outputs that have competitive procurement components to ensure best value for money. In this regard, the programme will apply best practices identified by other, ongoing climate change and development adaptation projects in the country (e.g. PACC, IWRM); ▪ This programme will utilize existing government structures and processes for implementation in the main and outer islands (such as Island Councils, extension services), which is essential considering the remoteness and communication difficulties with various islands. By building on existing government and institutional structures, the programme will also harnessing in-kind support and contributions from offices at the national and island levels (office space, staff time, communications, etc.); ▪ The programme builds on existing ...