Table 3a. 2021 HEPPP, RLP and ELP funding Program 2021 HEPPP* $5,213,157 RLP $232,830 ELP $5,575,213 Allocation of places for the purposes of the ELP
Table 3a. 2021 HEPPP, RLP and ELP funding Program 2021 HEPPP* $477,613 RLP $0 ELP $0 Allocation of places for the purposes of the ELP For the purposes of section 1.61.1 of Division 5 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012, the number of Commonwealth supported places allocated to the Provider for 2021- 2023 is 0.
Table 3a. Transfers between categories of region (breakdown by year) Transfer from Transfer to Breakdown by year Category of region Category of region 2021 2022 2023 2024 2025 2026 2027 Total Λιγότερο ανεπτυγμένες περιφέρειες Μετάβαση 101.607.979,00 000.000.000,00 000.000.000,00 000.000.000,00 000.000.000,00 000.000.000,00 000.000.000,00 000.000.000,00 Table 3B: Transfer between categories of region (summary) Category of region Allocation by category of region Transfer to Transfer amount Share of the initial allocation transferred Allocation by category of region after the transfer Μετάβαση 1.860.664.958,00 2.632.456.508,00 Λιγότερο ανεπτυγμένες περιφέρειες 00.000.000.000,00 Μετάβαση 771.791.550,00 5,00% 00.000.000.000,00 Justification Η αρχική κατανομή των πόρων μεταξύ των Περιφερειών ΛΑΠ/ΜΕΤ είναι αναντίστοιχη με το δυναμικό και τις προκλήσεις που πρέπει να αντιμετωπιστούν κατά την επόμενη περίοδο στις 2 Περιφέρειες μετάβασης. Ενδεικτικά μεγέθη των πληθυσμιακών, οικονομικών, διαρθρωτικών, κοινωνικών και αναπτυξιακών χαρακτηριστικών μεταξύ των Περιφερειών ΛΑΠ/ΜΕΤ, αναδεικνύουν το πλήθος και την ένταση των αναγκών αλλά και του δυναμικού των Περιφερειών μετάβασης. Στην Περιφέρεια Αττικής συγκεντρώνεται το 35% του πληθυσμού και καταγράφεται (2017) το 47% του ΑΕΠ, το 36% της απασχόλησης, το 27% του πλήθους των επιχειρήσεων και το 65% του κύκλου εργασιών των επιχειρήσεων της χώρας. Ο μέσος όρος (2015-2019) της ανεργίας είναι 21,32 %, ακριβώς ίσος με το εθνικό ποσοστό και πολύ υψηλός συγκριτικά με όλες τις χώρες της ΕΕ. Απο τα ανωτέρω εύλογα εκτιμάται πως το πραγματικό επίπεδο ευημερίας του πληθυσμού είναι κατώτερο του διαφαινόμενου απο το κριτήριο του κατά κεφαλήν ΑΕΠ. Οι συνέπειες της ύφεσης λόγω της πανδημίας εκτιμώνται πως είναι ιδιαίτερα έντονες στην Περιφέρεια Αττικής καθώς εμφανίζει μεγάλη εξάρτηση απο τους κλάδους του εμπορίου, των μεταφορών και του τουρισμού που πλήττονται ιδιαίτερα. Στην Περιφέρεια Αττικής συγκεντρώνεται επίσης (με πολύ μεγαλύτερη ένταση από πολλές ευρωπαϊκές χώρες) πολύ μεγάλο τμήμα των οικονομικών και τεχνικών υποδομών της χώρας. Η υπερσυγκέντρωση έχει σαν αποτέλεσμα η αναπτυξιακή πορεία της Περιφέρειας Αττικής να είναι απολύτως καθοριστική για ολη την ελληνική οικονομία, τις παραγωγικές δυνατότητές της, τις περιβαλλοντικές επιδόσεις, την κοινωνική συνοχή και την ένταξη ευπαθών ομάδων στην κοινωνική και οικονομική ζωή. Η υψηλή πυκνότητα πληθυσμού και τα μεγάλα μεγέθη τουριστικής δραστηριότητας προκαλούν αυξανόμενες πιέσεις στα συστήματα υποδο...
Table 3a. 2021 HEPPP, RLP and ELP funding Program 2021 HEPPP $4,686,825 RLP $0 ELP $2,372,211 Allocation of places for the purposes of the ELP For the purposes of section 1.61.1 of Division 5 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012, the number of Commonwealth supported places allocated to the Provider for 2021- 2023 is 687.0. HEPPP reporting requirements For the purposes of section 1.50 of Division 1 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012, the HEPPP reporting requirements in 2021 are as per Table 3b below. The Department will provide reporting templates to the Provider in early 2021 via email which the Provider must use when submitting the reports. All reports are to be submitted to xxxxxx@xxxx.xxx.xx.
Table 3a. Crude and Adjusted Odds Ratios of the Relationship between History of Medicaid Enrollment and Cardiovascular Complications Cardiovascular Complications <18.999 yrs. old >19 yrs. old Crude+ Crude+ Model 1 Model 2 Crude+ Model 1 Model 2 OR (95% CI) History of Medicaid Enrollment Continuous 1.0 1.0 1.0 1.0 1.0 1.0 1.0 Occasional .99 .82 .92 .91 1.04 1.04 1.04 (.73-1.36) Race White --- (.39-1.75) --- (.42-2.01) 1.0 (.42-2.01) 1.0 (.74-1.47) --- (.73-1.47) 1.0 (.73-1.47) 1.0 --- --- .48 .50 --- .75 .77 Black (.22-1.01) (.23-1.08) (.54-1.03) (.55-1.08) CHD Severity Severe --- --- 1.0 1.0 --- 1.0 1.0 Mild/Moderate --- --- .26 .25 --- .79 .80 (.11-.64)*** (.10-.63)*** (.52-1.21) (.53-1.22) ISO74555 --- --- .24 .22 --- .40 .41 Urban/Rural Residence Urban --- --- (.06-.99)* 1.0 (.05-.94)* 1.0 --- (.18-.91) 1.0 (.18-.93)* 1.0 Rural --- --- 1.14 1.19 --- .74 .75 Smoking No --- --- (.53-2.47) --- (.55-2.61) 1.0 --- (.50-1.09) --- (.51-1.11) 1.0 Yes --- --- --- 2.10 --- --- 1.44 Obese (.59 – 7.56) (.85-2.44) No --- --- --- 1.0 --- --- 1.0 Yes --- --- --- 1.65 --- --- 1.41 Drug-Use No --- --- --- (.35-7.82) 1.0 --- --- (.85-2.44) 1.0 Yes --- --- --- .57 --- --- .99 (.05-7.11) (.34-2.91) *p-value <0.05; **p-value<0.01; ***p-value <0.001 +Crude: history of Medicaid enrollment and cardiovascular complications ^Model 1 is adjusted for race, severity and geography ^^Model 2 is additional adjusted for smoking, obesity and drug-use Table 3b. Crude and Adjusted Odds Ratios of the Relationship between History of Medicaid Enrollment and Complications at Delivery Complications at Delivery <18.999 yrs. old >19 yrs. old Crude+ Crude+ Model 1 Model 2 Crude+ Model 1 Model 2 History of Medicaid Enrollment Race (1.52-1.93) (.83-2.34) (.797-2.25) (.80-2.30) (1.19-2.04)*** (1.18-2.03)*** (1.21-2.09)*** White --- --- 1.0 1.0 --- 1.0 1.0 Continuous Occasional OR (95% CI) CHD Severity (.55-1.46) (.58-1.57) (.70-1.19) (.77-1.33) Severe --- --- 1.0 1.0 --- 1.0 1.0 --- --- 1.34 1.33 --- 1.28 1.34 Mild/Moderate (.62-2.80) (.62-2.84) (.90-1.82) (.94-1.91) 1.0 1.0 1.0 1.0 1.0 1.0 1.0 .419 1.396 1.34 1.36 1.56 1.55 1.59 Black --- --- .89 .95 --- .91 1.01 --- --- .76 .75 --- .91 1.19 (.29-1.99) (.29-1.97) (.70-1.19) (.69-2.66) ISO74555 Urban/Rural Residence --- --- 1.0 1.0 --- 1.0 1.0 --- --- .76 .80 --- 1.03 1.06 (.45-1.28) (.47-1.35) (.76-1.40) (.78-1.44) --- --- --- 1.0 --- --- 1.0 --- --- --- 3.09 --- --- 3.48 (.67-14.23) (1.72-7.04)*** Urban Rural Smoking Obese No Yes No --- --- --- 1.0 --- --- ...
Table 3a. Statistical breakdown of the impact of the 2004 tsunami on consumption in Thailand Total Food & non- alcoholic beverages Alcohol & tobacco products Clothing Utility expenses Furniture Healthcare (1) (2) (3) (4) (5) (6) (7) 𝑇𝑖𝑡 16.29*** -0.13** -0.05*** -0.07*** -0.08*** 0.02* 0.05*** (1.46) (0.04) (0.01) (0.01) (0.02) (0.01) (0.01) 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡 -29.08*** 0.43 0.49*** 0.32*** 0.49*** 0.04 -0.07 (6.38) (0.24) (0.07) (0.08) (0.06) (0.05) (0.08) 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡 ∗𝑇𝑖𝑡 3.44 0.10 -0.01 0.08** -0.11*** -0.03 -0.08*** (2.77) (0.11) (0.03) (0.02) (0.02) (0.02) (0.02) Notes: Xxxxx-Xxxx standard errors are in parentheses. One lag is set as the maximum lag order of auto- correlation. *, **, *** denote statistical significance at the respective levels of 10%, 5%, and 1%. Each component of consumption is expressed as a percentage of total consumption expenditure. The coefficient of 𝑇𝑖𝑡represents the estimated consumption trend before the disaster, while the coefficient of the variable 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡∗𝑡𝑇𝑖𝑒𝑡captures the difference in the consumption trend before and after the disaster. The estimated coefficient of the variable 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡c𝑡ap𝑒tures the immediate change in consumption expenditure after the disaster. Column (1) shows the estimates of the effects of the disaster on total consumption measured in billions of Thai baht, while the rest of the columns indicate the consumption components as percentages of total consumption. See Section 4.1 for more details on the regressions and interpretation of the estimated coefficients. Table 3b. The effects of the 2004 tsunami on consumption spending in Thailand (continued) Transport Communication Recreation Restaurants and hotels Education Miscellaneous (8) (9) (10) (11) (12) (13) 𝑇𝑖𝑡 -0.01 0.04** 0.13*** 0.02 -0.00 0.07** (0.02) (0.01) (0.01) (0.08) (0.01) (0.03) 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡 -0.17 0.11 -0.28*** -0.66** 0.04 -0.43* (0.15) (0.09) (0.07) (0.28) (0.04) (0.22) 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡 ∗𝑇𝑖𝑡 -0.04 -0.02 -0.05*** 0.17 -0.01 -0.05 (0.04) (0.03) (0.01) (0.13) (0.02) (0.06) Notes: Xxxxx-Xxxx standard errors are in parentheses. One lag is set as the maximum lag order of auto- correlation. *, **, *** denote statistical significance at the respective levels of 10%, 5%, and 1%. Each component of consumption is expressed as a percentage of total consumption expenditure. The coefficient of 𝑇𝑖𝑡represents the estimated consumption trend before the disaster, while the coefficient of the variable 𝐷𝑖𝑠𝑎𝑟𝑖𝑠𝑡∗...
Table 3a. Multiplicative Deterioration factors (for emissions measurements to be compared against the limits in Table 1A) Engine Category Assigned multiplicative deterioration factors CO THC NMHC NOx HC + NOx Particulate Matter (PM) Particles (PN) Positive ignition 1.5 1.3 1.3 1.6 - 1.0 1.0 Compression- ignition As there are no assigned deterioration factors for compression ignition vehicles, manufacturers shall use the whole vehicle or bench ageing durability test procedures to establish deterioration factors. Table 3b Additive Deterioration factors (for emissions measurements to be compared against the limits in Table 1B) Engine Category Assigned additive deterioration factors CO NMHC NOx PM Gasoline fuel and LPG 0.11 0.12 0.21 0.00 Compression- ignition As there are no assigned deterioration factors for compression ignition vehicles, manufacturers shall use the whole vehicle ageing durability test procedures to establish deterioration factors.
Table 3a. Kreyòl Function Assessment (KFA) items and mean scoresa in pilot testing among rural Haitians – Females (n=45) 51 Table 3b. Kreyòl Function Assessment (KFA) items and mean scores in pilot testing among rural Haitians – Males (n=52) 52 Table 4. Xxxxxxx correlations among screening tools in pilot testing among rural Haitians 52 Chapter 2: Reflechi twòp – Thinking too much: Description of a cultural syndrome in Haiti’s Central Plateau Table 1: Items from Kreyòl Distress Idioms screening tool 74 Table 2: Principal components analysis of Kreyòl Distress Idioms screening tool 84 Figure 1: Mean anxiety and depression symptom scores by frequency of reflechi twòp (thinking too much) in the past two weeks 85 Table 3: Mean depression and anxiety scores by endorsement of reflechi twòp (“thinking too much”) (N=405) 86
Table 3a. Kreyòl Function Assessment (KFA) items and mean scoresa in pilot testing among rural Haitians – Females (n=45) Item (English) Item (Kreyòl) Mean (Std Dev)
Table 3a. Allocation of Commonwealth supported places for designated higher education courses in medicine for 2021 Number of undergraduate medical places (EFTSL) Number of postgraduate medical places (EFTSL) Total number of Commonwealth supported places in medicine (EFTSL) Total 0 638 638 Table 3b: Allocation of Commonwealth supported places for designated higher education courses in medicine for 2022 Number of undergraduate medical places (EFTSL) Number of postgraduate medical places (EFTSL) Total number of Commonwealth supported places in medicine (EFTSL) Total 0 636 636 Table 3c: Allocation of Commonwealth supported places for designated higher education courses in medicine for 2023 Number of undergraduate medical places (EFTSL) Number of postgraduate medical places (EFTSL) Total number of Commonwealth supported places in medicine (EFTSL) Total 0 634 634 Appendix 4 Indigenous, Regional and Low Socio-Economic Status Attainment Fund In 2021, the Indigenous, Regional and Low Socio-Economic Status Attainment Fund (IRLSAF) consists of five components: Higher Education Participation and Partnerships Program (HEPPP); National Priorities Pool Program; Regional Partnerships Project Pool Program; Regional Loading Program (RLP); and Enabling Loading Program (ELP); IRLSAF funding Grant amounts for the HEPPP, RLP and ELP in 2021 are calculated using the method specified for the relevant component in Divisions 1, 4 and 5 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012 (see paragraph 41-30(a) of the Act) and are estimated in Table 3a below. HEPPP funding for eligible providers is calculated using the formula specified at section 1.47 of Division 1 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012. The National Priorities Pool Program and Regional Partnerships Project Pool Program are subject to a competitive grants processes and any funding under these programs will be granted separately. RLP funding for eligible providers is calculated using the formula specified at section 1.59 of Division 4 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012. ELP funding for eligible providers is calculated using the formula specified at section 1.61 of Division 5 of Part 3 of Chapter 1 of the Other Grants Guidelines (Education) 2012.
