...vities fo r th ree hours CVC IY week . Ove r a yea r, thi s wo uld co ns titut e ne arl y fo ur milli o n m a nh o ur s . Moreove r, AS H RA E membe rs have just th e tal ent s needed to ass is t in th e soluti o n of so me of the majo r problems of ollr natio n! T a ke polluti o n, fo r exa mple. We ha ve probl ems o f a ir pollutio n, wate r pollutio n, th ermal polluti o n, an d no ise po llution , a m o n g oth e r s. But air , wat e r , heat and no ise a re ju s t th e things ASH RA E members "cut th eir te eth o n. " ASHRA E, thr o u g h it s me mbe r s a nd prog ra m s , is a prime factor in ad va nci ng th ese a nd o th er a rea s o f techno logy . \Ve s impl y ca nnot s ta nd o n th e s id e -Jin e s o f th e pollutio n prob lem . \Ve have so mu ch tale nt that it is our res ponsibilit y, in de e d o ur dut y a s profes s io n a ls, t o lend our ai d. It is no t easy. Ho rrendous pressure s a re bro ught to bea r by ac tivi st groups that cl amor for acti o n now and techn ical a nd...
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...Testing the weak form efficiency of Islamabad Stock exchange (ISE) Syed Tauseef Raza Gilani Department of Management Sciences, The Islamia University of Bahawalpur, Pakistan Email: tosif399@gmail.com, Tel: +00923006327270 Abstract The characteristics of stock prices reflect the all available information in market. This study explored the weak form efficiency of Islamabad Stock Exchange (ISE). In this research paper, we have also revealed the behavior of prices traded in Islamabad Stock Exchange, and how it behaves in different unusual events. Stock markets are the major contributor to economy. To test the weak form efficiency of Islamabad Stock exchange, we have tested Efficient Market Hypothesis. EMH is method to measure the stock prices trends in the market. Efficient market hypothesis also helps for making the right investment decisions. From two of decades, EMH has obtained much great importance in the field of finance. So it has attracted many researchers to explore the anomalous behavior of efficient stock market. Efficient market hypothesis has three main categories: 1. Weak form 2. Semi-strong form 3. Strong form. We will focus only weak form of market efficiency in ISE. Focus of the study is to analyze the weak form of ISE-10 in the stock market. For this purpose we have used different statistical technique for analyzing the data that is collected from the official website of ISE. Data will be in the form of weekly ISE-10 share index. Time period of data is From...
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...MAKERERE UNIVERSITY COLLEGE OF HUMANITIES AND SOCIAL SCIENCES SCHOOL OF SOCIAL SCIENCES DEPARTMENT OF POLITICAL SCIENCE AND PUBLIC ADMINISTRATION AN INTERNSHIP REPORT ON FIELD ATTACHMENT AT MASINDI DISTRICT LOCAL GOVERNMENT FROM 12th JUNE 2014 TO AUGUST 12th AUGUST 2014 BY TUGUME TRAVER 12/U/14775/EVE FIELD ATTACHMENT REPORT SUBMITTED TO THE COLLEGE OF HUMANITIES AND SOCIAL SCIENCES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE BACHELORS DEGREE OF ARTS IN SOCIAL SCIENCES OF MAKERERE UNIVERSITY KAMPALA STUDENT’S NAME: TUGUME TRAVER SIGNATURE: ………………………….… UNIVERSITY SUPERVISORS NAME……………………………. SIGNATURE………………………… FIELD SUPERVISOR’S NAME; …………………………….. SIGNATURE; ……………………….. DECLERATION I Tugume Traver declare that i have carried out this field attachment and the content of this field report is my original work and an authentic report that has never been submitted to any institution. It’s now being presented as partial fulfillment of a bachelors of arts in social sciences at Makerere University. Signature…………………………. Name………………………… ...
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...Random Walks Charles N. Moore Department of Mathematics, Kansas State University Manhattan, KS 66506 U.S.A. Abstract. We discuss the classical theorem of P´lya on random walks on the integer lattice in o Euclidean space. This is the starting point for much work that has been done on random walks in other settings. We mention a tiny fraction of this work, and discuss in detail “random walks” which can be created using trigonometric functions. 1 P´lya’s Theorem o Consider the integers {. . . , −2, −1, 0, 1, 2, . . . }. Suppose you are standing at 0. Flip a coin. If the coin comes up heads, move to the right by one step. If it comes up tails, move to the left by one step. Flip the coin again. If it comes up heads, move a step to the right, if it comes up tails, move a step to the left. Repeat and continue this process. Must you come back to zero? Obviously, there is a very good chance of returning to zero: the first two flips could have been head then tail, or tail then head, and these both result in a return to zero. So of the four possible outcomes in the first two flips, half of these take you back to zero. So the probability of returning to zero is at least 1 2 . If you further consider that even if you fail to return to zero in two steps, that after some subsequent flips you might make it back to zero, then clearly the probability of returning to zero is greater than 1 . A natural question arises: 2 What is the probability of returning to zero? The answer was given by...
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...DOES MONETARY POLICY INFLUENCE ECONOMIC GROWTH IN PAKISTAN? Haji Saif Ullah (Author) Email: hajisaif@live.com Muhammad Ashraf (coordinator) Department of Management Sciences University Of Gujrat, Gujrat ABSTRACT This study examines the impact of monetary policy on economic growth in Pakistan. The study uses time-series data covering the range of 1991 to 2011.The effects of stochastic shocks of each of the endogenous variables are explored using Error Correction Model (ECM). The study shows that Long run relationship exists among the variables. Also, the core finding of this study shows that inflation rate, exchange rate and external reserve are significant monetary policy instruments that drive growth in Pakistan. It is therefore recommended that the establishment of primary and secondary government bond markets that can also increase the efficiency of monetary policy and reduce the government’s need to rely on the central bank for direct financing. Keywords: Policy instruments, Economic Growth, GDP, Money supply, monetary policy INTRODUCTION The aim of this study is to examine the impact of monetary policy on economic growth. Economic growth is an important macroeconomic objective for any country. Monetary policy has direct relation with economic growth. Folawewo and Osinubi (2006) stated monetary policy as the arrangements which are planned to control supply of money in a country. In many countries the basic aims of the monetary policy are to stabilize prices...
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...ASSESSING GRADUATE EMPLOYMENT IN THE PRESENCE OF ENDOGENEITY AND SAMPLE SELECTION BIAS V1.2 Paul Blacklow* School of Economics and Finance, University of Tasmania, Private Bag 85, Hobart, TAS 7000 Paul.Blacklow@utas.edu.au *Presenting Author JEL Codes: I21, J23, C25 Keywords: Graduate Employment, Self Selection Bias, Sample Selection Bias Aaron Nicholas Department of Economics, Monash University, Wellington Road, Clayton, VIC 3800 Aaron.Nicholas@buseco.monash.edu.au ABSTRACT This paper examines the probability of a recent university graduate obtaining full-time employment by degree of study. It allows for degree choice to be endogenous (self-selection bias) and adjusts for those graduates not in the labour force who are not typically considered in graduate outcome studies (sample-selection bias). The self-selection problem is able to be identified by using a unique data set that combines data from the 2005 and 2006 Australian Graduate Destination Survey with data from the University of Tasmania’s (UTAS) student administration database, which includes students’ pre-tertiary school results. Degree choice is modelled using a Nested Logit, while labour force participation is modelled using a Probit. Using a ‘Heckit’ type methodology, the Inverse Mills Ratios (pseudo-residuals) from the Nested Logit and the modified Inverse Mills Ratios from the Probit are included in the final Probit model for Employment. Both correction terms are statistically significant at 5% in the employment...
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...A Conjecture on the Wife of Bath's Prologue Author(s): Richard F. Jones Source: The Journal of English and Germanic Philology, Vol. 24, No. 4 (Oct., 1925), pp. 512-547 Published by: University of Illinois Press Stable URL: http://www.jstor.org/stable/27702906 Accessed: 17-08-2015 10:45 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at http://www.jstor.org/page/ info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. University of Illinois Press is collaborating with JSTOR to digitize, preserve and extend access to The Journal of English and Germanic Philology. http://www.jstor.org This content downloaded from 182.69.107.77 on Mon, 17 Aug 2015 10:45:38 UTC All use subject to JSTOR Terms and Conditions A CONJECTURE ON THE WIFE OF BATH'S PROLOGUE of Bath's the Wife When for the first reading Prologue time, I remember my surprise upon reaching line 193 to find continued for several hundred lines, whereas that the Prologue a tale to follow. With I had expected each reading since, I in adjusting my expecta the same difficulty have experienced found. This repeated experience, ...
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...Berkeley Journal of International Law Volume 26 | Issue 2 Article 5 2008 Corporate Governance as Social Responsibility: A Research Agenda Amiram Gill Recommended Citation Amiram Gill, Corporate Governance as Social Responsibility: A Research Agenda, 26 Berkeley J. Int'l Law. 452 (2008). Available at: http://scholarship.law.berkeley.edu/bjil/vol26/iss2/5 This Article is brought to you for free and open access by the Law Journals and Related Materials at Berkeley Law Scholarship Repository. It has been accepted for inclusion in Berkeley Journal of International Law by an authorized administrator of Berkeley Law Scholarship Repository. For more information, please contact jcera@law.berkeley.edu. Gill: Corporate Governance as Social Responsibility: A Research Agenda Corporate Governance as Social Responsibility: A Research Agenda By Amiram Gill* In the post-Enron years, corporate governance has shifted from its traditional focus on agency conflicts to address issues of ethics, accountability, transparency,and disclosure. Moreover, corporate social responsibility (CSR) has increasinglyfocused on corporate governance as a vehicle for incorporating social and environmental concerns into the business decision-making process, benefiting not only financial investors but also employees, consumers, and communities. Currently, corporate governance is being linked more and more with business practices and public policies that are stakeholder-friendly. This ...
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...Using Simulation Modeling to Improve Patient Flow at an Outpatient Orthopedic Clinic Thomas R. Rohleder, PhD Division of Health Care Policy and Research Mayo Clinic 200 First Street SW Rochester, Minnesota 55905 tel: 507-538-1532 Email: rohleder@mayo.edu Peter Lewkonia, MD Faculty of Medicine University of Calgary Calgary, Alberta Diane Bischak, PhD Haskayne School of Business University of Calgary Calgary, Alberta Paul Duffy, MD Faculty of Medicine University of Calgary Calgary, Alberta Rosa Hendijani Haskayne School of Business University of Calgary Calgary, Alberta July 2011 Abstract We report on the use of discrete event simulation modeling to support process improvements at an orthopedic outpatient clinic. The clinic was effective in treating patients, but waiting time and congestion in the clinic created patient dissatisfaction and staff morale issues. The modeling helped to identify improvement alternatives including optimized staffing levels, better patient scheduling, and an emphasis on staff arriving promptly. Quantitative results from the modeling provided motivation to implement the improvements. Statistical analysis of data taken before and after the implementation indicate that waiting time measures were significantly improved and overall patient time in the clinic was reduced. Keywords: Outpatient Clinic, Discrete Event Simulation, Process Improvement, Patient Waiting I. Introduction Visiting hospital outpatient clinics is a very common way for...
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...Using Simulation Modeling to Improve Patient Flow at an Outpatient Orthopedic Clinic Thomas R. Rohleder, PhD Division of Health Care Policy and Research Mayo Clinic 200 First Street SW Rochester, Minnesota 55905 tel: 507-538-1532 Email: rohleder@mayo.edu Peter Lewkonia, MD Faculty of Medicine University of Calgary Calgary, Alberta Diane Bischak, PhD Haskayne School of Business University of Calgary Calgary, Alberta Paul Duffy, MD Faculty of Medicine University of Calgary Calgary, Alberta Rosa Hendijani Haskayne School of Business University of Calgary Calgary, Alberta July 2011 Abstract We report on the use of discrete event simulation modeling to support process improvements at an orthopedic outpatient clinic. The clinic was effective in treating patients, but waiting time and congestion in the clinic created patient dissatisfaction and staff morale issues. The modeling helped to identify improvement alternatives including optimized staffing levels, better patient scheduling, and an emphasis on staff arriving promptly. Quantitative results from the modeling provided motivation to implement the improvements. Statistical analysis of data taken before and after the implementation indicate that waiting time measures were significantly improved and overall patient time in the clinic was reduced. Keywords: Outpatient Clinic, Discrete Event Simulation, Process Improvement, Patient Waiting I. Introduction Visiting hospital outpatient...
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...Option Pricing: A Simplified Approach† John C. Cox Massachusetts Institute of Technology and Stanford University Stephen A. Ross Yale University Mark Rubinstein University of California, Berkeley March 1979 (revised July 1979) (published under the same title in Journal of Financial Economics (September 1979)) [1978 winner of the Pomeranze Prize of the Chicago Board Options Exchange] [reprinted in Dynamic Hedging: A Guide to Portfolio Insurance, edited by Don Luskin (John Wiley and Sons 1988)] [reprinted in The Handbook of Financial Engineering, edited by Cliff Smith and Charles Smithson (Harper and Row 1990)] [reprinted in Readings in Futures Markets published by the Chicago Board of Trade, Vol. VI (1991)] [reprinted in Vasicek and Beyond: Approaches to Building and Applying Interest Rate Models, edited by Risk Publications, Alan Brace (1996)] [reprinted in The Debt Market, edited by Stephen Ross and Franco Modigliani (Edward Lear Publishing 2000)] [reprinted in The International Library of Critical Writings in Financial Economics: Options Markets edited by G.M. Constantinides and A..G. Malliaris (Edward Lear Publishing 2000)] Abstract This paper presents a simple discrete-time model for valuing options. The fundamental economic principles of option pricing by arbitrage methods are particularly clear in this setting. Its development requires only elementary mathematics, yet it contains as a special limiting case the celebrated Black-Scholes model, which has previously been derived...
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...Case report: Paediatric Orthopaedic Clinic 1- What is capacity utilization at every step in the process? What is the direct resource utilization? Using the data provided in the case, we are able to compile all data necessary to compute the capacity utilization at the clinic. Activity | # of Staff | Available time | Activity time | Number of Patients | Time needed | Utilization10 | | | /Staff | Total | N | F | N | F | N | F | Total | | 1. Front Desk | | | | | | | | | | | | a. Registration | 3 | 180 | 540 | 5 | 5 | 32 | 48 | 160 | 240 | 400 | 74 % | b. Verification | 3 | 255 | 765 | 9 | 4 | 32 | 48 | 288 | 192 | 480 | 63 % | 2. Radiology Department | | | | | | | | | | | | a. X-ray imaging | 6 | 240 | 9603 | 11 | 11 | 32 | 40.8 | 352 | 448.8 | 800.8 | 83 % | b. Development of X-rat | -1 | 240 | 9604 | 7 | 7 | 32 | 40.8 | 224 | 285.6 | 509.6 | 53%8 | c. Diagnostic reading and comments | 3 | 240 | 4805 | 5 | 5 | 32 | 40.8 | 160 | 204 | 364 | 76% | 3. Hand-off X-ray to Clinic | | | | | | | | | | | | a. Collection of X-ray | 3 | 2556 | 7657 | 2 | 2 | 32 | 40.8 | 64 | 81.6 | 145.6 | 19% 9 | b. Filing/exam room prep | 1 | 255 | 255 | 2 | 2 | 32 | 48 | 64 | 96 | 160 | 63% | 4. Examination Room | | | | | | | | | | | | a. Surgeon | 1 | 255 | 255 | 7 | 4 | 32 | 14.4 | 224 | 57.6 | 281.6 | 110% | b. Resident | 1(2)2 | 255 | 255 | - | 7 | - | 33.6 | - | 235.2 | 235.2 | 92% | c. Cast technician...
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...A Statistical Perspective on Data Mining Ranjan Maitra∗ Abstract Technological advances have led to new and automated data collection methods. Datasets once at a premium are often plentiful nowadays and sometimes indeed massive. A new breed of challenges are thus presented – primary among them is the need for methodology to analyze such masses of data with a view to understanding complex phenomena and relationships. Such capability is provided by data mining which combines core statistical techniques with those from machine intelligence. This article reviews the current state of the discipline from a statistician’s perspective, illustrates issues with real-life examples, discusses the connections with statistics, the differences, the failings and the challenges ahead. 1 Introduction The information age has been matched by an explosion of data. This surfeit has been a result of modern, improved and, in many cases, automated methods for both data collection and storage. For instance, many stores tag their items with a product-specific bar code, which is scanned in when the corresponding item is bought. This automatically creates a gigantic repository of information on products and product combinations sold. Similar databases are also created by automated book-keeping, digital communication tools or by remote sensing satellites, and aided by the availability of affordable and effective storage mechanisms – magnetic tapes, data warehouses and so on. This has created a situation...
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...CHUYÊN SAN C A SINH VIÊN KHOA TÀI CHÍNH - NGÂN HÀNG TRƯ NG Đ I H C KINH T - LU T Sô 07 Tháng 9-2013 NGÂN HÀNG HỆ THỐNG www.uel.edu.vn/url/chuyensan . chuyensantcnh@uel.edu.vn . facebook/chuyensantcnh.uel o7 Ban c v n TS. NGUY N NG C HUY ThS. HOÀNG TH PHÚ ThS. TR N HÙNG SƠN ThS. NGUY N TH DI M HI N ThS. TÔ TH THANH TRÚC ThS. NGUY N ANH PHONG Cùng các Th y Cô Khoa Tài chính - Ngân hàng Ban biên t p PHAN TH THANH THU N (K10404B) - Trư ng ban PH M MINH NH T (K10403) - Phó ban LÊ TH DI M MÂN (K10404A) - Phó ban VŨ KHÁNH LINH (K11404T) - Phó ban PHAN VINH LINH GIANG (K11405T) - Phó ban NGUY N TH PHƯƠNG DUNG (K11404T) NGUY N NG C TH O HI N (K11404A) NGUY N TH DOAN (K11404T) - Trư ng b phân truy n thông Ban n i dung Trư ng Nhóm Ch ng khoán TR N TH THANH NHUNG (K10404B) Trư ng Nhóm Tài chính NGUY N TH QUỲNH LIÊN (K10404B) Trư ng Nhóm Ngân hàng NGUY N TH ÁI NHI (K10404T) Trư ng Nhóm Vĩ mô ĐÀO TH VĨNH NGUYÊN (K10405T) Cùng các thành viên khác Thi t k , trình bày Đ AN KHƯƠNG (K12404A) TRƯƠNG THUY T B O (K12404A) VŨ KHÁNH LINH (K11404T) 02 • 05 • 07 • 10 • HỆ THỐNG NGÂN HÀNG phát triển bền vững 02 PHÁT TRIỂN BỀN VỮNG HỆ THỐNG NGÂN HÀNG Phải chăng “chữ Tâm kia mới bằng ba chữ Tài”? Sản phẩm tiền gửi – Vai trò trong giai đoạn hiện nay Đánh giá mức độ lành mạnh các Tổ chức tín dụng Việt Nam – Khung phân tích Camels có phải là sự lựa chọn hoàn hảo? Tỉ lệ an toàn vốn “CAR” – 1 từ, 3 chữ nhưng nhiều vấn đề 14 14 • 16 • 18 • 20 • bàn tròn sự kiện ...
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...1/ ENERGY BANDS IN SOLIDS In this chapter we begin with a review of the basic atomic properties of matter leading to discrete electronic energy levels in atoms. We find that these energy levels are spread into energy bands in a crystal. This band structure allows us to distinguish between an insulator, a semiconductor, and a metal. 1-1 CHARGED PARTICLES The charge, or quantity, of negative electricity and the mass of the electron have been found to be 1.60 X 10- 19 C (coulomb) and 9.11 X 10- 31 kg, respectively. The values of many important physical constants are given in Appendix A, and a list of conversion factors and prefixes is given in Appendix B. Some idea of the number of electrons per second that represents current of the usual order of magnitude is readily possible. F'or example, since the charge per electron is 1.60 X 10- 19 C, the number of electrons per coulomb is the reciprocal of this nutnber, or approximately, 6 X 10 18 Further, since a current of 1 A (ampere) is the flow of 1 Cis, then a current of only 1 pA (1 picoampere, or 10- 12 A) represents the motion of approximately 6 million electrons per second. Yet a current of 1 pA is so small that considerable difficulty is experienced in attempting to measure it. The charge of a positive ion is an integral multiple of the charge of the electron, although it is of opposite sign. For the case of singly ionized particles, the charge is equal to that of the electron. For the case of doubly ionized particles...
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