zilongwang/ReadingBank huggingface dataset:
Course Paperwork Requirements 2018 to 2019- Summary The table below contains information on the paperwork providers will need to complete for particular Inspire Learning courses. The documents highlighted in bold are those that need to be submitted to Inspire Learning. There is also information on resources to be issued to learners. Definitions for PCDL Taster Course Short Course Full Course will last for a maximum of 3 hours, be a single session and are designed to be a marketing activity. A course lasting between 1 and less than 9 hours and having a maximum of 4 sessions. For example, an 8 hour Food Safety course run over 4 sessions. A course of 9 hours or over (or a course of less than 9 hours but having more than 4 sessions). For example, an 8 hour parenting skills course run over 6 sessions. Type of Course Paperwork Required PCDL Where a commissioned provider chooses to use some of its funding allocation for Taster sessions no specific paperwork is required. If Inspire Learning approaches a provider to deliver Taster Sessions e.g. as part of Adult Learners’ Week, the following are required: Form 01 Course Data Sheet Form 03 Taster Attendance Form Form 17 Form Form 01 Course Data Sheet Form 02 Learner Evaluation Form (optional)** Form 04 Register Form 05 Enrolment Form Form 13 ILP (Short course) (or equivalent) Form 15 Learner Withdrawal Form Form 16 Tutor End of Course Evaluation Form Form 17 Claim Form Learner Guide Safeguarding/Prevent leaflet Form 01 Course Data Sheet Form 02 Learner Evaluation Form Form 04 Register Form 05 Enrolment Form Learner Guide Safeguarding/Prevent leaflet Form 12 ILP (or equivalent) Form 15 Learner Withdrawal Form Form 16 Tutor End of Course Evaluation Form Form 17 Form Doc 26 Course File
DMFT>0 (n%) DMFT=0 (n%) χ² for trend P Sweets* None Low Normal High 24 (8.45) 114 (40.14) 70 (24.64) 76 (26.76) 26 (10.31) 97 (38.49) 73 (28.96) 56 (22.22) χ² =1.89 P =0.1 Cake** None Low Normal High 24 (8.4) 104 (36.61) 87 (29.57) 69 (24.29) 22 (8.73) 101 (40.07) 74 (29.36) 55 (21.82) Sweet Snacks 122 (42.95) 108 (42.85) χ² for trend =1.89; P =0.1 *Sweets: None (no sweets), low (seldom), normal (1-2 times per day), high (>twice a day) **Cake: None (no cake), low (seldom), normal (once a day), high (> once a day) Table 10. Association between prevalence of caries and dairy consumption DMFT>0 (n%) DMFT=0 (n%) χ² for trend P Dairy* None Low Normal High 37 (58.72) 57 (54.81) 150 (50.00) 40 (57.96) 26 (41.27) 47 (45.18) 150 (50.00) 29 (42.03) χ² =2.1 P =0.08 *None (no dairy), low (< 2 twice a week), normal (2-4 times per week), high (> 4 times per week)
Question 3 (a) Gaborone Motor Dealers Computation of the VAT payable for the month of May 2016: P’000 Output VAT: Sales – second hand vehicles - P11,380x12% 1,365.6 2 Sales – brand new vehicles – P15,200 x 12% 1,824.0 1 Sales – export vehicles – 0% 0 1 Disposal of Benz – exempt 0 1 ----------- output tax 3,189.6 ------------ VAT: Administration expenses – exempt 0.0 1 Distribution/adverting expenses – 1 Purchases of vehicles: 2nd hand from non-registered – 2 From registered traders – P1,900 x 12% 228.0 1 Imported vehicles – P9,120 x 12% 1,094.4 1 Professional fees – P210 x 12% 25.2 1 Workshop wages – exempt 0.0 1/2 Directors’ remuneration – exempt 0.0 ½ Acquisition of Prado – exempt 0.0 1 Purchase of computer – P24 x 12% 2.88 1 Purchase of fridge – entertainment exempt 0.0 1 --------------- Total recoverable input VAT 2,029.6
(b)(ii) Income tax implications arising on the disposal of the industrial building: On the disposal of the industrial building, a balancing adjustment will arise. The balancing adjustment is computed by comparing the net sales proceeds, restricted to the original cost, with the tax written down value of the building, as follows: 1 P’000 Cost 380 Less: Initial allowance at 25% (95) 1 Less: annual allowances – 1996 to 2015: P380 x 2.5% x 20 (190) 2 --------- Tax written down value b/f 95 Sales proceeds, restricted to original cost (380) 1 --------- ------ Balancing charge 285 5 --------- ----- (c) The finance manager has violated the fundamental principles of integrity and objectivity. The tax adviser must call for a meeting with the finance manager and the management team request them to inform BURS of the amounts that were not disclosed in the 2014/15 tax return. If the finance manager/GMD refuse to comply with the tax adviser’s request, then the tax adviser must explain to the finance manager that he is compelled by professional conduct to report the matter to BURS. The tax adviser must also inform that such conduct from the management of GMD may compel him to resign from acting as tax adviser. (3 marks) (Total: 30 marks) Question 4 (a) Tax implications of the outstanding loans between the directors and Lekaje Enterprises Ltd The directors of Lekaje Enterprises Ltd qualify to be treated as participators of a close company because they own more than 5% of the equity shares of Lekaje Enterprises Ltd. 2 Mpho Lekaje’s interest free loan to Lekaje Enterprises Ltd
Table 7: Quarterly and Yearly Asymmetric Partial Adjustment Estimation Quarterly and yearly fixed effect estimations of the asymmetric partial adjustment model presented in Eqs. (8)-(10) for U.S.-based equity mutual funds from January 2000 to December 2012. The Dependent variable is the Sharpe Ratio. Independent variables are the market Sharpe Ratio and the Sharpe Ratio of the average fund in the same Lipper Class. Second order lags of the dependent variable are also included to ensure proper specification of the model. ***, **, and * denote significance at the 1%, 5%, and 10% levels, respectively. Panel A: Quarterly Estimates Variable Coefficient Std. Error t-Statistic Prob. Intercept 0.0126*** 0.0048 2.641 0.008 highadjust1 0.1032** 0.0448 2.305 0.021 highadjust2 0.0007 0.0006 1.226 0.220 lowadjust1 -0.0346 0.0341 -1.015 0.310 lowadjust2 -0.0001 0.0002 -0.275 0.783 Market Sharpe 0.9421*** 0.0387 24.318 0.000 Classification Sharpe 0.0057 0.0036 1.597 0.110 R-Square 0.752 No. of Funds 23,198 N 602,017 Panel B: Yearly Estimates Variable Coefficient Std. Error t-Statistic Prob. Intercept 0.0469** 0.0230 2.042 0.041 highadjust1 0.0133 0.0823 0.161 0.872 highadjust2 0.0754 0.0537 1.405 0.160 lowadjust1 -0.0628* 0.0354 -1.776 0.076 lowadjust2 -0.0537* 0.0302 -1.777 0.076 Market Sharpe 0.8922*** 0.0510 17.479 0.000 Classification Sharpe 0.0001 0.0025 0.037 0.971 R-Square 0.834 No. of Funds 24,158 N 123,302
Paper A - West Kent SWOT – WKP Meeting 20 October 2017 Strengths Strong base of highly skilled and motivated workers Proximity to London, M25 and Europe Attractive sites for relocating businesses and agility to deliver smaller sites quickly Embedded and successful sub county partnership and strong LEP alignment High quality of life, cultural and leisure facilities Vibrant key sectors Resilient SME sector Good business start-up rates with high survival rates Strong visitor economy Consistently low levels of unemployment High quality rural landscape and AONB Good quality primary and secondary schools Recent investments achieved (eg A21 dualling, Peters Pit, Tonbridge TC) and plans for further significant investment (eg T Wells Theatre/civic centre Weaknesses Traditional economic strengths under erosion Significantly lower GVA than South East average Pockets of deprivation that can fall below radar Limited Higher Education facilities number of large employers High house prices causing recruitment issues High levels of out commuting for work Relative shortage of good quality sites and premises for business use and expansion Traffic congestion in urban areas Planning and environmental constraints Rural broadband infrastructure incomplete Skills retention issues Local resistance to change Opportunities Low level investment can unlock high levels of local growth Strong entrepreneurial culture Attractive relocation sites Access to business support programmes – eg Kent & Medway Business Fund, LEADER, SEBB Development of supported business premises around key sectors Potential to optimize Apprenticeship Levy to address skills shortages Potential for Higher Education expansion Active business community Possible Brexit opportunities Threats Lack of capacity in strategic road and rail networks Competition from other areas for funding infrastructure High local house prices and need for additional affordable housing population High commuting costs and service and reliability issues Need for higher skilled jobs vs poor attainment Pressure for residential development over employment uses Possible impact of Brexit on business confidence to invest and availability of labour
C. If 75 % of the puppies have a mask, the character is dominant. D. If 100 % of the puppies have a mask, the character is recessive. 15. [1 mark] Which is a characteristic of the pairs of sister chromatids that are visible during meiosis? A. They result from the replication of DNA before meiosis. B. They are only present in meiosis I. C. They split apart during metaphase I in meiosis. D. They are only present in meiosis II. 16. [1 mark] What distinguishes an allele from a gene? A. An allele is made of RNA. B. An allele is shorter. C. An allele is a variety of a gene. D. An allele cannot be transferred during genetic modification. 17. [1 mark] The fungus Rhytisma grows on the leaves of certain trees, causing a yellow leaf area in which chlorophyll is no longer present. A black, tar-like stain later spreads out. What happens in the leaf when Rhytisma is present? I. An increase in the intake of carbon dioxide II. A reduction in the production of oxygen III. An increase in the loss of water A. I only B. II only C. II and III only
5) METALS 1. The diagram shows an electric heater. Which method would be used to plate the chromium on to the steel? A alloying B electrolysis C galvanizing D oxidation 2. The table shows some properties of four materials. Which of these materials are most suitable to make the pins and the case of an electric plug? Pins Case A W X B X Z C Y W D Z Y 3. The following are all made from metals. Which items are made from stainless steel? A aircraft bodies B drink cans C knives and forks D motor car bodies 4. Which substance reacts with calcium to form a salt? A hydrochloric acid B oxygen C sodium hydroxide D 5. The proton numbers of four elements are shown. Which element is a metal? 6. Zinc reacts with steam to form zinc oxide and hydrogen. Zn + H2O ZnO + H2
A CH B CH2 C CH3 D CH4 36. Which of the compounds shown are used as fuels? 37. The diagram the structure of an important product. This product is formed by …..1….. of an …..2….. Which words correctly complete gaps 1 and 2? 38. The diagram shows the structure of a small molecule. Which chain-like molecule is formed when these small molecules link together? 39. Ethanol can be formed by 1 fermentation, 2 reaction between steam and ethene. Which of these processes uses a catalyst? 40. An organic compound has the structure shown. From knowledge of the properties of alkanes and alkenes, which reactions would be predicted for this compound? 41. In the molecule shown, the two –OH groups are numbered. of these –OH groups react with aqueous sodium hydroxide?
2. Means of Performance Measures (ROA, NIMY, and ROE) during Pre-Recession and Recession periods for S-Corporation Financial Institutions and Non S-Corporation Financial Institutions. Recession t-statistic S-Corp ROA 1.55923 1.10384 26.6746 1.41528 1.93403 NIMY 4.37093 4.03356 40.1294 0.88557 ROE 16.06378 8.60293 -99.8605 10.0545 102.05102 Non S-Corp ROA 0.4836944 21.6188 2.50475 4.58848 NIMY 4.24636 3.70502 75.5925 1.54749 1.29224 ROE 10.10897 -0.53024 28.4226 11.60149 850.10016 Table 3. Difference in Means between S-Corporation Financial Institutions and Non Financial Institutions. Diff in ROA of Pre-Rec between S-Corp and Non S-Corp ROA NIMY ROE S-Corp 1.55923 4.37093 16.06378 Non S-Corp 1.00304 4.24636 10.10897 SD S-Corp sq 2.003017478 1.03634436 8.60293 SD Non S-Corp Sq 6.273772563 2.3947253 -0.53024 n S-Corp 64398
performance: evidence from the thrift industry.” Journal of Financial Economics, 50, 291-317. Ken, Scott Hein, Timothy Koch, 2005, “Avoiding double taxation: the case of commercial banks.” Working paper available at SSRN: . Demsetz, Harold and Villalonga, 2001, “Ownership structure and corporate performance.” Journal of Corporate Finance, 7, 209-233. Denis, David and Atulya Sarin, 2002, “Taxes and the Relative Valuation of S Corporations and C Corporations.” Journal of Applied Finance, Fall/Winter. Fama, Eugene and Kenneth French, 1992, “The cross-section of expected stock returns.” Journal of Finance, 47, 2, 427-465. Harvey, James and Jane Padget, 2000, “Subchapter A new tool for enhancing the value of community banks.” Federal Reserve Bank of Kansas City- Financial Industry Perspectives. Hodder, Leslie, Mary Lea McAnally, and Connie D. Weaver (2003). “The Influence of Tax and Nontax Factors on Choice of Organizational Form,” The Accounting Review, Vol. 78, No. 1, pp. 297-325. Iannotta, Giiuliano, Giacomo Nocera, and Andrea Sironi, 2007, “Ownership structure, risk and performance in the European banking industry.” Journal of Banking and Finance, 31,7,2127-2149.
Model Based on conventional law, seek to maximize profits subject to differential interest rates. Based on Islamic law (Sharia), seek to maximize profits subject to Profit-Loss Sharing (PLS) System. Risk a Shifting risk when involved or expected. Guarantee all its deposits. Focus on the credit-worthiness of clients. Bearing risks when involved in any transaction. Guarantee only current account deposits, with other deposits invested via multilayer Mudarabah system as part of the PLS system. Focus on the viability of projects. Money and liquidity Interest on borrowings made from any market. Sale of debts. Based on Sharia-compliant rules and regulations for any transaction. Large restrictions on the sale of debts. Source: Ahmad and Hassan (2007). a For more details, Van Greuning & Iqbal (2008). Fig. 1a: -scores, 2005:q1–2011:q4 (Natural logarithms, LZ) Fig. 1b: Total assets (Bank size), 2005:q1–2011:q4 (Natural logarithms, LA) Fig. 1c: Credit-assets 2005:q1–2011:q4
Exhibit A: SCOPE Loss Reserves Column l Amoun t 1. Reserve for Unpaid Losses (Liabilities, Surplus and Other Funds 1. page, Col. 1 , Line 1) 759,159 2. Reserve for Unpaid Loss Adjustment Expenses (Liabilities, Surplus and Other Funds page,Col.1 ,Line 3) 2. 1 60,571 3. Reserve for Unpaid Losses - Direct and Assumed {Schedule P, 3. 4. Part 1 ,Summary Totals from Cols. 1 3 and 1 5, line 12 • 1000) Reserve for Unpaid Loss Adjustment Expenses - Direct and 4. 4, 299,000 Assumed (should equal Schedule P, Part 1 ,Summary Totals from Cols. 17, 19 and 21 ,Line 12 • 1000) 5. The Page 3 write-in item reserve, "Retroactive Reinsurance 5. Reserve Assumed" 0 6. Other Loss Reserve items on which the Appointed Actuary is 6. expressing an Opinion (list separately) 0 Premium Reserves Column 1 Amount 7. Reserve for Direct and Assumed Unearned Premiums for Long Duration Contracts $ 0 8. Reserve for Net Unearned Premiums for Long Duration Contracts $ 0 9. Premium Reserve items on which the Appointed Actuary is expressing an Opinion {list separately) $ 0
Aerial photographs of footpaths & erosion – this allows us to see where the biggest amount of footpath erosion is Tripping on footpaths – wear hiking and bring a first aid kit Getting lost – mobile phone and OS map Advantage of location: Close to school – collect lots of data quickly and easily In a National Park so there are easy to access footpaths which will help to collect lots of data Description of method: Look at an OS map and select a footpath Use systematic sampling to select three points 500m apart from each other At each site place a tape measure across the footpath and split the distance by 10. a ruler measure across the footpath at each point Repeat for each point and then at each site Justify the method: Systematic sampling – to reduce bias in selecting sites Transect – away from Bakewell to help identify any patterns Easy method to do No expensive equipment Data presentation: Drew a cross-section for each site – this looks like a line graph Draw a transect line and then located with an arrow each of the cross-sections on it Positives: Easy to see changes down the transect Negatives Time consuming to do Complicated to draw Conclusion: Footpath does not decrease away from Bakewell Site 1: Average erosion 20 cm Site 2: Average erosion 15cm Site 3: Average erosion 10cm Reasons for this: Less walkers the further away from Bakewell as tourists do not want to walk that far away from the town. Change in rock type – rock gets harder the further away from Bakewell Evaluation: Problems Issues with the methods: Ruler not easy to read One person measuring - not accurate when reading the Issues with the results: Less accurate as the measurement was only taken once Only one footpath so not easy to get a clear idea of how the other footpaths near Bakewell change
Secondary data: National Park website – honeypot towns has certain characteristics such as lots of services and shops orientated for tourists. Traditional shops have had to adapt to these changes. Photographs of the town – this helped us to work out what kind of shops/services there may be in Bakewell – we could then split them into three different categories Maps & photographs: Used an OS map to work out the study area and split it up. Took photos of the and the streets to identify different shop types. Risks: Talking to people Getting lost bring a map and a phone to ask for help Crossing roads hit by cars only cross are zebra/pelican crossings Advantage of location: to school collect more data Honeypot town lots of tourist facilities easy to see tourism impact Description of method: OS map – selected a study area Used systematic sampling to cover every shop in the area selected Recorded the following building types: Tourist – used by only tourists Mixed – used by both tourists and residents Non-tourist – used by residents only Recorded the data in a using a tally system Justify the method: Systematic sampling – so not to miss buildings Easy to do Cover lots of Bakewell The building uses will give us a clear idea of how to tourism has economic impacts on Bakewell. Data presentation: Pie chart Good things: Easy to draw individual pie chart Simple to read We have three data-set which can be shown easily on the pie chart Bad things: Hide to draw located pie charts – quite time-consuming Data is in % so cannot see real number of the different building uses. Results: Conclusion: Bakewell is has a lot of facilities for tourists – tourism is dominating the town. 56.5% is dominated by tourism. Part1,2,3 – mainly tourist buildings Part 4 – local buildings
19th Century Caudillo Consolidation of 1 Country in Latin America 1 Country in America “Poor Mexico - So far from God, and so close to United States” – P. Diaz Mexican Revolution: 1910-1920 Conditions for Revolution Goals of Revolutionaries USA Intervention Mexican Revolution: 1910-1920 Porfirio Diaz Francisco Madero Victoriano Huerta Venustiano Carranza “Pancho” Villa Emiliano Zapata
Table 3: Options for reducing tube passes Tube passes Retrofit options Actions required One None None Two Reduce the number of tube passes to one Remove all the partitions; Replace the existing heads with two new heads; Rearrange or repipe the if necessary Four or Eight Reduce the number of tube passes to two Remove all the partitions; Replace the existing heads with two new heads; Install a new partition in the middle of the front head; Rearrange or repipe the if necessary Reduce the number of tube passes to one Remove all the partitions; Replace the existing heads with two new heads; Rearrange or repipe the flows if necessary Six or Ten Reduce the number of tube passes to two Remove all partitions except the middle one in the front head Reduce the number of tube passes to one Remove all the partitions; Replace the existing heads with two new heads; Rearrange or repipe the flows if necessary Twelve Reduce the number of tube passes to four Remove some partitions and retain those in the typical 4-tube-pass layout
Table 18: Modification of Exchanger 2 Base Case After Modification SF UB UB,E (kPa) (kPa) UN UN,E (kPa) (kPa) Original Design 0.475 0.597 131.40 163.31 - - - - - Tube pass reduction (two to one) 0.475 0.597 131.40 163.31 0.356 0.490 113.80 125.48 0.33 Shell Modification (series to parallel) 0.475 0.597 131.40 163.31 0.361 0.494 33.77 43.22 0.27
Pressure drop in the tube entrances, and reversal Pressure drop in tube side nozzles Pressure drop in the straight tubes with twisted tapes Pressure drop in the straight tubes with wire coil Log Mean Temperature Difference °C Greek letters Pa s Fluid density δ Tape thickness m β Helical baffles type ° α Function of number of tube passes - Dimensionless groups: Subscripts: CS Cold stream CU Cold utility Enhanced ex, EX Exchanger F Final HS Hot stream HU Hot utility I Initial
Table 3: Relative Frequencies of Combinations of Pay Changes (Rankings in Brackets) Pay Changes over Year Pairs Pre-Crisis: 2005/06, 2006/07. 2007,08 Crisis: 2008/09, 2009/10, 2010/11 Pair 1 Pair 2 Pair 3 ↑ ↑ ↑ 51.42 (1) 8.27 (7) ↑ ↑ ↓ 14.84 (2) 7.79 (8) ↑ ↓ ↑ 9.54 (3) 13.26 (3) ↓ ↑ ↑ 8.30 (4) 9.18 (5) ↑ ↓ ↓ 3.81 (5) 10.02 (4) ↓ ↑ ↓ 3.50 (6) 8.47 (6) ↓ ↓ ↑ 2.32 (7) 17.72 (1) ↑ ↑ ↔ 1.11 (8) 0.61 (14) ↓ ↓ ↓ 0.89 (9) 13.39 (2) ↓ ↓ ↔ 0.09 (23) 2.49 (9) ↑ ↓ ↔ 0.27 (15) 1.79 (10) All other combinations 3.91 7.01 Table 4: Median Cumulative Pay Change by Initial Pay 2005/08 2008/11 2005/11 (3 year) Bottom Tercile .183 .009 .187 Middle Tercile .166 -.023 .128 Upper Tercile .153 -.064 .086 All 4 years .165 -.020 .129
Together, this evidence suggests that VPMCT can be used across a range of potential patient groups and situations, with minimal adaptations in technique. Acknowledgements OJA is funded by an NIHR Clinician Scientist Fellowship award. This article presents independent opinion funded by the National Institute for Health Research (NIHR) and supported by the Great Ormond Street Hospital Biomedical Research Centre. The views expressed are those of the author and not necessarily those of the NHS, the NIHR or the Department of Health. We wish also to thank Ms Alison Brough of the East Midlands Forensic Pathology Unit for the production of some of the CT images. Figures Fig 1. Pre (a) and post (b) ventilation of a cadaver using a Draeger portable home ventilator. Source: Germerott et al., Leg Medicine 2010; 12:276-279 Fig 2. Pre (a) and post (b) ventilation of a cadaver illustrating the clearing of the lungs. When the left lung is better aerated, a pleural nodule is identified, which was previously obscured by post mortem hypostasis. Source: Germerott et al., Leg Medicine 2010; 12:276-279 (a) (b) (c) Fig 3. Pre-vent (a) followed by VPMCT at (b) 20mbar and (c) 40mbar illustrating the clearing of the lungs of post-mortem attenuation caused by hypostasis. Source. Germerott et al. Leg Medicine 2012; 223-228 (a) (b) (c) Fig 4. Pre-vent (a) followed by VPMCT at (b) 20mbar and (c) 40mbar illustrating that VPMCTA does not affect the presence of ante mortem aspiration. Source. Germerott et al., Leg Medicine 2012; 223-228 (a) (b)
Robert Thornton Morrison , Robert Neilson Boyd, , (2007) “ Organic Chemistry ” , 6th Edition ,New York University , USA. S. Hayshi, (2008) “Theoretical Study of Electronic Structure and Spectroscopy of Molecules Containing Metallic Atoms”, Ph.D. Thesis, University of Paris-Est. S. Iyengar, (2003) “Atomic and Molecular Quantum Theory”, Indiana University, Chemistry Department.
2.5 Are you currently registered on Property Pool Plus? Yes No If yes which office did you register with? Knowsley Housing Trust Property Pool Plus Wirral Sefton One Vision Housing Halton Housing Your Homes Liverpool Cobalt Housing Liverpool Cosmopolitan Housing Liverpool Liverpool Mutual Homes Liverpool Housing Trust Pierhead Housing Association Liverpool Plus Dane Group Liverpool Regenda first Liverpool Riverside Liverpool South Liverpool Housing Venture Housing Liverpool 2.6 What support needs do you have in this area? Accommodation History (any additional information) Connection 3.1 What Local Authority do you have a local connection with? (This question is based on the information received from accommodation history) * Halton Knowsley Liverpool Sefton St Helens Wirral Other Authority 3.2 Within the last five how long have you lived in the authority stated above? * If the client has been able to their local connection sufficiently after answering this question then you can move on to the question where the assessor must decide the local authority the client has a connection with * 3.3 Do you have any close family associations that have lived in the authority stated above for at least 5 years? (Close family usually includes father, mother, brothers, sisters, and children)
From Up to Address Tenure type Reason for leaving Name Accommodation Provider Contact type Email From To Please provide any contact details for accommodation providers: Do you have a history of rough sleeping? Yes No (if yes please give more details) Are you currently registered on Property Pool Plus? Yes No
3. Mean (SD) and range scores on each symptom for the dyslexic and control groups. Dyslexic Control F values (1, 40) Mean (SD) Range Mean (SD) Range 1. How often does reading make you feel tired? 3.81 (0.65) 2 - 5 3.19 (1.06) 1 - 5 4.42* 2. Do you lose your place 3.75 (0.77) 2 – 5 2.54 (1.03) 1 - 5 16.40***
when reading? 3. How do the letters jumble, when you read? 2.69 (1.14) 1 - 5 1.69 (0.93) 1 - 4 9.58** 4. Do you miss words when reading? 3.56 (1.26) 2 - 5 2.31 (1.19) 1 - 5 10.49** 5. Do you see words double 1.81 (0.75) 1 - 3 1.54 (0.99) 1 - 4 0.90
when reading 6. Does the print seem to move when you read? 2.87 (1.26) 1 - 5 1.46 (0.71) 1 – 3 21.86*** 7. Does reading become harder the longer you read? 4.06 (1.06) 2 - 5 2.77 (1.28) 1 - 5 11.51**
8. Do the letters become fuzzy or blurry when you read? 3.50 (1.26) 1 - 5 1.81 (1.13) 1 - 4 20.25*** 9. Do you get tired eyes when reading for a long time? 4.19 (1.11) 1 - 5 3.77 (1.07) 1 - 5 1.47
10. Does the white page between the words form patterns like “rivers” when you read? 2.62 (1.46) 1 - 5 1.85 (1.22) 1 - 5 3.48 11. Do you get headaches when 3.12 (1.15) 1 - 5 2.77 (1.24) 1 - 5 0.86
reading for a long time? Total Scores 36.00 (8.66) 15 - 48 25.69 (8.14) 12 - 38 15.13*** Note, * p < .05; ** p < .01; *** p < .001
Table 4. Mean (SD) for reading rate with and without an overlay on WRRT for the control and dyslexic groups who participated in Phase 1 and Phase 2. 1 Phase 2 With Overlay (wpm) Without Overlay (wpm) % Improvement With Overlay (wpm) Without Overlay (wpm) % Improvement Control 182.01 (27.53) 172.24 (31.01) 6.47% (7.94%) 189.53 (30.71) 178.45 (30.95) 5.93% (5.03%) Dyslexic 156.83 (26.87) 143.22 (26.26) 9.92 (7.74%) 157.98 (25.06) 151.33 (28.33) 4.57% (5.39%) Figure 1. Mean scores for control and dyslexic groups on comprehension questions when reading with or without an overlay (Error bars show 95% confidence intervals)
3.4. Reform to be guided by an over-all framework or roadmap. It is also recognized that the reform that has to be pursued should be guided by an framework or road map to guide the future phases of the reform programs. The roadmap should be a detailed master plan to provide the direction and guide the implementation of the long-term Land Administration and Management Program.
Vossen, K. (2011). ‘Classifying Wilders: The ideological development of Geert Wilders and his party for freedom.’ Politics, 31(3), 179–189. Vliegenthart, R. (2012). ‘The professionalization of political communication? A longitudinal analysis of campaign posters.’ American Behavioral Scientist, 56(2), 135–150. Zillmann, D. (1999). ‘Exemplification theory: Judging the whole by some of its parts.’ Media Psychology, 1(1), 69–94.
Average of correct answers on the five knowledge questions: scale from 1 (‘very low political/ economic knowledge’) to 5 (‘very high political/economic knowledge’) than average, higher than average or average? (1) lower than average (✓), (2) higher than average, (3) average, (4) I don’t know 2. Who is the current Minister for Finances in the Netherlands? (1) Frans Timmermans, (2) Lodewijk Asscher, (3) Jeroen Dijsselbloem (✓), (4) Henk Kamp, (5) I don’t know 3. Who is the current director of the International Monetary Fund (IMF)? (1) Dominique Strauss-Kahn, (2) Kofi (3) Christine Lagarde (✓), (4) Ban Ki-moon, (5) I don’t know 4. Which of the following countries does not make part of the five most important European trade partners of the Netherlands? (1) Germany, (2) Belgium, (3) France, (4) Spain (✓), (5) I don’t know 5. What is the credit worthiness for the Netherlands according to credit raters Fitch and Moody’s? (1) AAA (✓), (2) A, (3) AB, (4) C, (5) I don’t know Percentage unemployment at municipal level (in %) Percentage of unemployment at municipal level according to Statistics Netherlands Percentage of non-Western foreigners at postal code (in %) Percentage of non-Western foreigners at postal code level according to Statistics Netherlands
Scott, Jonathan. England’s Troubles: Seventeenth-century English political instability in European context. Cambridge: Cambridge University Press, 2000. Shell, Alison. Oral Culture and Catholicism in Early Modern England. Cambridge: Cambridge University Press, 2007. Sheppard, Francis. London: A History. Oxford: Oxford University Press, 1998. David. “Religion, Science, and Printing in the Public Spheres in Seventeenth-Century England.” In Habermas and the Public Sphere, edited by Calhoun, 212-235. Cambridge, MA: The MIT 1992.
Employment Authorization TO BE USED FOR CREIGHTON UNIVERSITY STUDENTSONLY DEPT. NAME DEPT. # FUND # * ORGANIZATION # ACCOUNT # CHECK PAYMENT METHOD: HOURLY MONTHLY* *IF MONTHLY, NUMBER OF PYMTS: SEO COMMENTS LAST, MI NET ID INDICATE ACTIONS: ENGAGE, DISENGAGE PAY RATE ADJ FUNDING CHANGE $$ PAY RATE STAFF MEMBER WHO WILL APPROVE TIMECARD : EFFECTIVE DATE HIRED BY (PRINT NAME): DATE (MM/DD/YYYY): phone : email: @CU Processed by Student Employment staff: DATE:
National Wildlife Rehabilitators Association 2019 Symposium Registration March 5-9 2019 St. Louis Missouri Your choices for Symposium 2019 registration Register online at: Instructions for online registration: the Register button on webpage to get started, choose your desired attendee type and follow prompts from there. Credit or debit card is required to pay online at the time you register. Fill out the paper registration form below and mail it to NWRA at the address on the form. Instructions for paper registration: Please print clearly in all spaces; name and affiliation appears on your symposium nametag exactly as written on the form. Register only one person per form. Registration form may be copied if more are needed for additional attendees. Faxes or computer scans are not accepted; the original form must be mailed. 2019 Registration Rates Full 2-Day 1-Day NWRA member $150 $115 $90 Member student $100 $80 $55 Non-member $250 $200 $150 Non-member student $165 $125 $90 IWRC Member *$200 Discount does not apply Discount does not apply *IWRC Code Expires February 17, 2019 Registrations received between January 19 and February 18, 2019, are subject to a late registration fee of $20.00 to the early bird rates shown above. Registrations received after February 18th will incur a fee of $40.00 added to the early bird rates shown above. There is no refund of registration fees after February 11, 2019. Requests for refunds before February 11, 2019, must be made in writing. Please address refund requests to Symposium Manager at 2019 NWRA Membership Rates Active $55 Student (full time) Send proof of student status $35 Family (2 person/household) $100 Organization $55 Organization 2 $105 Organization 3 $150 Organization 4 $195 Organization 5 $240 Lifetime $1,500 or more
15 (U-16) Bayview Shores 17/57 R-O-W between lots 105 & 107 (12 & 27) 16 (U-19) Alvah Thomas R-O-W to cemetery between lots 98 & 100 (2 & 53) 19 (U-23) Seaside 4/1 R-O-W between lot 119 & lots 121, 115, & 117 from Hurricane Ridge Road (Woodlawn) to Evergreen Avenue 20 (U-25) Lester Goodman 133/38 R-O-W between lots 74 & 76 (9 & 9A) 20 (U-25) White Sails Road R-O-W between lots 16 & 18 (19 & 27) 22 (U-27) Bruce Allen/Abner Point Walking R-O-W between lot 36 & lots 38 & 38-1 (31A & 31B) and over lots 42 & 44 (31) 23 (U-29) Sea Mist Lane 35/46 R-O-W between lots 221 & 223 (72 & 73) 23 (U-29) Sea Mist Lane 35/46 R-O-W between lots 219 & 221 (73 & 74) and lots 215 & 217 (75 & 64A) and through lot 219 (70) 23 & 24 (U-29) Oceanside 19/20 Paper roads at the end of Oceanside Road 24 (U-29) Industrial Realty 66/1 R-O-W between lots 32 & 34 (160A & 176A) 28 (U-33) Philip Sumner 158/58 R-O-W between lots 82 & 84 (64 & 83) 34 (R-12) Robert Griffin 88/38 R-O-W of Stone Pillar Lane – Lots 14, 16, 18, 20, 22, & 32 (170, 171, 238, 23, 195, 21, & 202) Table 3 1997 List of Paper Roads Retained by the Town
Table 3: Distribution of the speed proportion variable on local roads ≤ 20 kmph 20 – 30 kmph 30 – 40 kmph 40 – 50 kmph 50 – 60 kmph 60 – 70 kmph 70 – 80 kmph 80 – 90 kmph 90 – 120 kmph > 120 kmph Overall 1.9 5.2 10.6 21.4 27.9 19.1 9.2 2.8 1.9 0.1 6am-10am 1.5 4.1 8.8 18.6 27.2 22.0 11.6 3.5 2.5 0.1 10am-3pm 2.1 5.8 11.8 23.4 28.7 17.4 7.4 2.1 1.2 0.0 3pm-7pm 2.7 7.0 12.7 23.7 27.2 16.2 7.1 2.1 1.2 0.0 7pm-12am 2.1 5.6 11.3 22.8 28.5 17.8 7.9 2.4 1.6 0.1 12am-6am 1.2 3.8 8.7 19.1 27.5 21.6 11.5 3.7 2.8 0.1 Table 4: Distribution of the speed proportion variable on arterial roads ≤ 20 kmph 20 – 30 kmph 30 – 40 kmph 40 – 50 kmph 50 – 60 kmph 60 – 70 kmph 70 – 80 kmph 80 – 90 kmph 90 – 120 kmph > 120 kmph
5: PMOPFS Model estimates for Local roads Explanatory Variables Coefficient t-stat Street Characteristics Number of 0.791 5.37 Number of sides parking is present -0.203 -2.68 One way street -0.269 -1.87 Number of sidewalks 0.142 2.10 Standard Deviation 0.121 2.33 Presence of bicycle route 0.406 3.51 Good pavement condition 0.310 2.72 High vertical grade -0.280 -1.62 Time variables Night hours (12am to 6am) -0.070 -1.83 Standard Deviations Propensity constant Standard Deviation 0.237 3.80 Threshold parameters Threshold 1 (≤ 20 and 20-30 kmph) -0.025 -0.10 Threshold 2 ( 20 – 30 and 30-40 kmph) 0.511 1.93 Threshold 3 ( 30 – 40 and 40-50 kmph) 1.032 3.88 Threshold 4 ( 40 – 50 and 50-60 kmph) 1.516 5.64 Threshold 5 ( 50 – 60 and 60-40 kmph) 1.964 7.14 Threshold 6 ( 60 – 70 and 70-40 kmph) 2.332 8.19 Threshold 7 ( 70 – 80 and 80-40 kmph) 2.623 8.96 Threshold 8 ( 80 – 90 and 90-120 kmph) 2.895 9.59 Threshod 9 ( > 120 kmph) 3.242 10.45 Total number of Cases 3903 Log Likelihood at Convergence -7292.2 Table 6: PMOPFS Model estimates for Arterials Explanatory Variables Coefficient t-stat Street Characteristics Number of lanes 0.116 4.99 limit 0.074 12.28 Standard Deviation 0.007 20.527 Time variables Night hours (12-6am) (Midday 10am-3pm is base) 0.360 15.85 Rush hours (6-10am, 3-7pm) 0.069 4.75 Evening hours (7pm to 12am) 0.084 5.14 Weekday 0.051 4.48
Summer Months (June-August) -0.125 -2.39 Standard Deviations S.D. constant 0.6199 28.172 Threshold parameters Threshold 1 (≤ 20 and 20-30 kmph) 1.736 5.62 Threshold 2 ( 20 – 30 and 30-40 kmph) 2.446 7.99 Threshold 3 ( 30 – 40 and 40-50 kmph) 3.116 10.23 Threshold 4 ( 40 – 50 and 50-60 kmph) 3.957 12.84 Threshold 5 ( 50 – 60 and 60-40 kmph) 4.877 15.67 Threshold 6 ( 60 – 70 and 70-40 kmph) 5.701 18.23 Threshold 7 ( 70 – 80 and 80-40 kmph) 6.452 19.65 Threshold 8 ( 80 – 90 and 90-120 kmph) 6.956 19.40 Threshod 9 ( > 120 kmph) 8.403 20.43 number of Cases Log Likelihood at Convergence
Sivananthiran, A. and C. S. Venkata Ratnam (2004). “Social Dialogue at Enterprise Level – Successful Experiences”. ILO. Robert P., and Lung-Fei Lee (1984). “Technical training and earnings: A polychotomous choice model with selectivity.” The Review of Economics and Statistics 66(1), 151-156.
Appendix A1: Distribution of and jobs and personal characteristics among workers of the formal private sector, 2010 Characteristics Distribution Public sector Private sector Average Gender Men 65.2 77.3 69.4 Women 34.8 22.7 30.6 Educational attainment None or primary 6.5 18.7 10.8 secondary 49.6 51.8 50.4 University 43.9 29.5 38.9 Age Up to 30 years 19.8 38.0 26.2 From 31 to 40 37.0 36.4 36.8 From 41 to 50 29.5 18.3 25.6 From 51 to 65 13.7 7.3 11.5 Firm size Up to 5 9.4 From 6 to 20 28.7 From 21 to 50 15.0 From 51 to 100 14.9 From 101 to 500 21.1 More than 500 10.9 Occupation Maneuver 3.2 17.8 8.3 Skilled worker 18.1 54.7 43.8 High rank officer 58.8 27.5 17.9 Sector of activity Primary sector 1.7 Industry 34.0 Trade 15.0 Services 49.3 Area Capital 41.7 66.0 50.1 Other 58.3 34.0 49.9 Source: EESI (2010), Phase 1, Our calculations: weighted data
Trade 0,1185 0,149 0,081 -2,926 -1,098 0,148 0,147 0,295 -0,042 Services 0,5231 0,021 0,575 -2,518 -1,074 0,573 0,830 1,402 0,055 Lambda -0,50641 -0,543 -1,418 0,063 Constante 8,668 12,373 Total 1,586 1,663 3,249 0,366 Source: EESI (2010), Phase 1, our calculations
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Literature and Sources Electoral results: BM.I ‘Nationalratswahlen’ Available at: (Accessed on 30 September 2011). National Election Office (2010) ‘Parliamentary elections 2010’. Available at: (Accessed on 30 September 2011). ČSÚ (2010) ‘Volby do Poslanecké sněmovny Parlamentu České republiky’. Available at: (Accessed on 30 September 2011). Parties and Elections, Available at: (Accessed on 30 September 2011). Štatistický úrad Slovenskej republiky ‘Volebná štatistika’. Available at: (Accessed on 30 September 2011). Vokscenter (2010) Available at: (Accessed on 30 September 2011). Data: Štatistický úrad Slovenskej republiky ‘RegDat. Databáza regionalnej štatistiky’. Available at: (Accessed on 30 September 2011). Statistik Austria ‘Volkszahlung 2001’ Available at: (Accessed on 30 September 2011). ČSÚ ‘Regiony, města, obce’. Available at: (Accessed on 30 September 2011). Központi Statisztikai Hivatal ‘Tájékoztatási adatbázis’. Available at: (Accessed on 30 September 2011). Diva GIS ‘Download data by country’. Available at http://www.diva-gis.org/gdata (Accessed on 30 September 2011). ESRI: ArcCR500 Literature: Abramson, Paul R., et (2010) ‘Comparing Strategic Voting under FPTP and PR’, Available at (Accessed on 30 September 2011). Carbone, Maurizio (2010): ‘National politics and European integration: from the constitution to the Lisbon Treaty’. Cheltenham: Edward Elgar Publishing. De Vries, Catherine E. (2007). “Sleeping Giant: Fact or Fairytale? How European Integration Affects National Elections.” European Union Politics 8 (3): 363-385. Dalton, Russel, J. (2002) ‘Citizen Attitudes and Political Behavior’ Comparative Political studies 33 (6-7): 912-940.
Howard Tan 425 Riverton Shelley, WA 6148 Email : Telephone : (08) 94575069 Mobile : 0400 838 804 PAPHYVILLE Paphiopedilum Orchids PAPHIOPEDILUM PRICE LIST – WAOS July, August 2017 These plants offered are from the 2014/2015/and 2016 shipments. This Special WAOS Show List replaces all previous List from1 July 2017 This Price List is only valid for July-August order or at the WAOS 2017, on August 4,5 and 6 of August 2017. The usual quantity discount is available. Delivery cost is $10-$25.00. Small box will be sent through AusPost cost $10.00 -$15 (1/2 to 1 kg), takes between2-3days. Larger box with 10-12 large plant will be sent by Pack and Send. Cost $25. Usually the delivery is made on the following day (capital to capital city). All plants are guaranteed to have good/new active root system. This guarantee only applies for multi-flora plants ordered during December---May, when the roots are still active (white tips). The parvis do not have new roots active growth in the summer months, however some may still have it. Discount Schedule: Min $ 500.00 5% $1000.00 10% $2000.00 20% $3000.00 25% STOCK from Shipment March 2014 – March 2016 Listed Price WAOS 2017 Price Lady Isabel –(rothschildianum X stonei) Large spent plant with second growth of Leaf Length 25-30cm $110.00 N/A avail Dec 2017 Shin-Yi Prince (PEOY X sanderianum) Large spent growth with big 20-30cm second growth $110.00 N/A -----,,----- Shin Yi PrideX anitum N/A stonei X anitum $140.00 LS 60cm N/A armeniacum $40.00 LS 20cm ) N/A micranthum $35.00 LS 20cm ) $30.- micranthum v. eburneum $45.00 LS 20cm ) N/A malipoense $80.00 LS 25cm $70.-
the author Leonid E. Grinin is Senior Research Professor at the Institute for Oriental Studies of the Russian Academy of Sciences in Moscow and Senior Research Professor at the Laboratory for Destabilization Risk Monitoring at the National Research University Higher School of Economics. He is the Editor-in-Chief of the journal Age of Globalization (in Russian), as well as a co-editor of the international journals Social Evolution & History and the Journal of Globalization Studies. Dr. Grinin is the author of more than 430 scholarly publications in Russian, English, and Chinese, including 28 monographs. These monographs include Philosophy, Sociology, and the Theory of History ( Russian); Productive Forces and Historical Process ( Russian); State and Historical Process (3 vols, 2009–2010, in Russian); Social Macroevolution: World System Transformations ( Russian, with A. Korotayev); Macroevolution in Biological and Social Systems ( Russian, with A. Markov and A. Korotayev); Global Crisis in Retrospective: A Brief History of Upswings and Crises ( Russian, with A. Korotayev); The Evolution of Statehood: From Early State to Global Society (2011); The Cycles of Development of Modern World System ( Russian, with A. Korotayev and S. Tsirel); From Confucius to Comte: The Formation of the Theory, Methodology and Philosophy of History ( Russian); Macrohistory and Globalization (2012); Cycles, Crises, and Traps of the Modern World-System ( Russian, with A. Korotayev), and Great Divergence and Great Convergence (2015, with Andrey Korotayev); From the Biface to Nanorobots. The World is on the Way to the Epoch of Self-governed Systems (History of Technologies and the Description of Their Future) (2015, in Russian, with A. L. Grinin).
Pest Animal Research Education Collection Permit Application Form Send your completed application form and supporting documentation to: Department of Economic Development, Jobs, Transport and Resources Pest Animal Permit Administrator P.O. Box 124 Benalla Victoria 3672 The lodging of any application does not in itself carry any entitlement or right The outcome of any application cannot be predicted and should not be anticipated Part 1 – Permit Type Part 2 – Applicant – Complete the applicant is not a natural person Part 3 – Applicant or nominated responsible person Part 4 – Findings of Guilt Part 5 – Business Part 6 – Collection Part 7 – Declaration and Consent by the applicant or person authorised on behalf of applicant Part 8 – Declaration and Consent by the applicant or the nominated responsible person the applicant is not a natural person) Part 9 – Permit Payment – Complete as applicable Part A – Application to keep a pest animal Part B – Application to bring a pest animal into Victoria Part C – Application to sell a pest animal Part D – Application to release a pest animal Section 1. Declared pest animals except schedule 4B established pest animals. Section 2. Declared schedule 4B established pest animals. General information: Pest animals have the potential to significant negative impacts on the economy, the environment, social amenity and human health. Pest animals must not be brought into Victoria, kept sold or released without permission. Permission to import into Victoria, keep, sell or release pest animals will only be in exceptional circumstances where there is demonstrable benefit and in accordance with nationally agreed principles of risk management and the Department of Economic Development, Jobs, Transport and Resources (the department) ‘Policy Statement on the regulation of keeping and trade of declared pest animals in Victoria’ and other related policies. Permission to import into Victoria, keep, sell or release pest animals for research/education purposes will only be considered where there is evidence that the proposed use will occur under a scientific procedures licence or specified animals breeding licence with appropriate approval by an Animal Ethics Committee. An Applicant may be a body politic or corporate or a natural person.
planning appeals principles William Orbinson QC 2014 CONTENTS Foreword by Elaine Kinghan, Chief Commissioner of the PAC Page i Acknowledgements Page ii CHAPTER 1 INTRODUCTION Page 1 CHAPTER 2 THE COMMISSION’S APPROACH TO POLICY Page 3 Scope of Application Page 3 Broad Approach of the Commission Page 3 Specific Principles followed by the Commission Page 3 CHAPTER 3 SUSTAINING REFUSAL Page 33 Scope of Application Page 33 The Commission can only determine appeals that are validly made and in Article 32 appeals cannot correct inadequacies in applications Page 33 Late Reasons for Refusal Page 33 Amendments to Appeal Proposals Page 34 Inadequate Information Page 37 The Department’s Duty to sustain Refusal Reasons Page 39 Relevant Principles Page 39 Article 32(4) ‘De Novo’ Power Page 51 Scope of Application Page 51 A Power to be used sparingly Page 52 Principles governing the Exercise of the Power Page 52 Need for Advance Notice by the Department Page 53 What if Objectors raise Fresh Issues? Page 53 Mechanics of Article 32(4) Page 53 CHAPTER 4 FAIRNESS Page 55 Scope Page 55 Effect Page 55 Origin Page 55 Principles of Fairness Page 55 CHAPTER 5 THE PRECEDENT VALUE OF COMMISSION DECISIONS Page 62