The United States allocates health care without an overt system of rationing. This article analyzes the forces that guide resource allocation to craniofacial care. Various possible allocation systems are reviewed for how decision makers might evaluate proposed programs for legislative funding. Using a case-based exercise, readers are asked to weigh the potential costs and benefits of six health and social programs. These programs are also systematically examined for factors that are likely to affect resource allocation decisions. Eleven factors that affect decision-making are utilized in the analysis, ranging from the cost per client to emotional or human interest content of the proposed programs. Decisions about preventive programs are compared with those involving therapeutic programs. The allocation of resources to craniofacial programs, including those for children with rare major craniofacial conditions, is considered in the context of social justice and broad contemporary ethical and ...
http://www.usgrowthpartners.com/wp-content/uploads/2018/03/US-Growth-Logo_35px.png 0 0 admin-usgp http://www.usgrowthpartners.com/wp-content/uploads/2018/03/US-Growth-Logo_35px.png admin-usgp2018-02-12 17:32:042018-02-12 17:32:04Asset Allocation Strategies 1 ...
We present approaches utilizing aspects of data analytics and stochastic modeling techniques and applied to various areas in healthcare. In general, the thesis has composed of three major components. Firtsly, we propose a comparison analysis between two of the very well-known infectious disease modeling techniques to derive effective vaccine allocation strategies. This study, has emerged from the fact that individuals are prioritized based on their risk profiles when allocating limited vaccine stocks during an influenza pandemic. Computationally expensive but realistic agent-based simulations and fast but stylized compartmental models are typically used to derive effective vaccine allocation strategies. A detailed comparison of these two approaches, however, is often omitted. We derive age-specific vaccine allocation strategies to mitigate a pandemic influenza outbreak in Seattle by applying derivative-free optimization to an agent-based simulation and also to a compartmental model. We compare ...
OBJECTIVE: Universal coverage with insecticide-treated bed nets is a cornerstone of modern malaria control. Mozambique has developed a novel bed net allocation strategy, where the number of bed nets allocated per household is calculated on the basis of household composition and assumptions about who sleeps with whom. We set out to evaluate the performance of the novel allocation strategy. METHODS: 1,994 households were visited during household surveys following two universal coverage bed net distribution campaigns in Sofala and Nampula Provinces in 2010-2013. Each sleeping space was observed for the presence of a bed net, and the sleeping patterns for each household were recorded. The observed coverage and efficiency were compared to a simulated coverage and efficiency had conventional allocation strategies been used. A composite indicator, the product of coverage and efficiency, was calculated. Observed sleeping patterns were compared with the sleeping pattern assumptions. RESULTS: In ...
CASBO. (n.d.). Best practices for engaging stakeholders in the budget. Sacramento, CA: CASBO. Available at https://www.casbo.org/sites/default/files/userfiles/Budget-Engagement-Flyer-English.pdf. This pamphlet provides tips for district leaders on how to share budget information with stakeholders to elicit meaningful community involvement. Specifically, it recommends first identifying the information the public needs. This information may include an overall picture of the districts financials, any major initiatives and how much they will cost, a realistic break-down of needs versus wants, and a rationale of how resource allocation decisions will serve student learning. The guidelines next recommend a set of effective communication strategies. Among these, information should connect decisions to activities at local sites, be specific and relevant to community members students and schools, be concise, jargon-free, and easy to understand. Visual tools are helpful in this effort. The piece ...
My second set of recommendations is centered on marketing & manufacturing strategies and tactics, particularly in the U. S. After read the case, I am convinced that to successfully grow EMI medical imaging business and continue to reduce its dependence on the fickle and low margin music business, EMI has to succeed in the U. S market - the largest and most lucrative market. EMI should streamline and strengthen its U. S. operations, including manufacturing, and provide U. S. subsidiary more decision-making power on product development, parts supplying, pricing and service.. First, recruitment of a leader for its worldwide medical imaging business should be a priority. This person must have a strong U. S. operation experience and expertise in the medical diagnostics imaging industry. He or she should focus all energy to manage the relatively small but growing and most profitable EMIs medical imaging business. Marketing, manufacturing, R&D and resource allocation decisions should be made swiftly ...
For any organism, resource allocation does not occur in a void: the environmental context modifies outcomes. We explored how this influenced the evolution of allocation strategies for semelparous life histories in constant, temporally varying and autocorrelated environments. Temporal autocorrelation might be especially important for semelparous plants because they frequently inhabit disturbance-driven habitats characterized by successional dynamics which may contribute to autocorrelation (Tuljapurkar & Haridas 2006). Although previous life-history studies have considered temporal autocorrelation (Orzack 1985; Tuljapurkar & Wiener 2000), our focus on allocation strategies and the evolution of survival while including density dependence are novel.. In constant environments, allocation to survival decreases as environmental quality improves (figure 2a), reflecting nonlinearities in survival and environmental quality: beyond a certain level, allocating resources to survival is futile because ...
The Strategy was developed by the National Immunisation Advisory Committee (NIAC) and Department of Health, endorsed by the National Public Health Emergency Team (NPHET), and approved by Government on 8 December 2020. On Tuesday 30 March, the government approved an update to the COVID-19 Vaccination Allocation Strategy. The move to an allocation strategy focused largely on evidence of clinical risk - that is age and medical conditions - will make Irelands vaccination programme more efficient, more transparent and fairer.. ...
In a study to examine Medical Affairs structure, resourcing and spend allocation benchmark strategy for internal thought leadership management, Best Practices, LLC observed that Field-Based Medical Teams take up the largest share of medical affairs budget.
When building a sound asset allocation strategy, remember to include periodic reviews as well. For instance, a shift in financial markets could change your financial situation. And with periodic gains and losses, your portfolio may require adjustments. As you go through your life stages, adjust your asset allocation strategy based on your requirements, preferences, risk tolerance and priorities.. Insurance. A good financial plan will provide for adequate Life and Health insurance, the lack of which can cause much turmoil. Thats because, in the event of your untimely demise, your family members, without your support and income, may be unable to meet the various financial goals youve set for them. For instance, your spouses retirement, childrens college funding, homeownership and any other plans youve laid down for your family could get hampered. Similarly, if you are not prepared for any medical emergencies with adequate health insurance for you and your family members any such incidents can ...
OPTIMAL RESOURCE ALLOCATION IN RANDOM ACCESS COOPERATIVEOPTIMAL RESOURCE ALLOCATION IN RANDOM ACCESS COOPERATIVE COGNITIVE RADIO NETWORKS
TY - GEN. T1 - Resource allocation over network dynamics without timescale separation. AU - Proutiere, Alexandre. AU - Yi, Yung. AU - Tian, Lan. AU - Chiang, Mung. PY - 2010. Y1 - 2010. N2 - We consider a widely applicable model of resource allocation where two sequences of events are coupled: on continuous time axis (t), network dynamics evolve over time. On a discrete time axis [t], certain control laws update resource allocation variables according to some proposed algorithm. The algorithmic updates, together with exogenous events out of the algorithms control, change the network dynamics, which in turn changes the trajectory of the algorithm, thus forming a loop that couples the two sequences of events. In between the algorithmic updates at [t - 1] and [t], the network dynamics continue evolve randomly as influenced by the previous variable settings at time [t - 1]. The standard way used to avoid the subsequent analytic difficulty is to assume the separation of timescales, which in turn ...
A system is provided for transmitting/receiving downlink resource allocation information in a communication system. In the system, a base station generates first information including downlink resource allocation information necessary for supporting a first mode supported by the base station, generates second information including length information of the first information, and transmits the first information and the second information. A mobile station notifies the base station of a second mode supported by the mobile station, receives, after the notification, the first information and the second information from the base station, and skips without decoding as much downlink resource allocation information as a length corresponding to the length information without decoding, if the first mode is different from the second mode.
The Hunt for #Unicorns by @Winston_W_Ma describes how #sovereign wealth funds are changing the landscape of the #DigitalEconomy and the #VC game. Read more about the book here: https://sites.tufts.edu/sovereignet/capital-ideas-dr-winston-mas-new-book-the-hunt-for-unicorns-explains-how-sovereign-funds-are-changing-the-vc-game ...
Reporting to the NMRT President, the charge of the Self-Study/Resource Allocation Committee is broad and transcends overall NMRT committee lines. This Committee is responsible for the ongoing examination of the use of resources (people, fiscal, etc.) within NMRT in light of the NMRT Mission Statement and NMRT Budget. For this reason, this Committee must establish communication early on and work closely with the NMRT Treasurer and NMRT Governance Committee. As delegated by the NMRT President, the Self-Study/Resource Allocation Committee researches, analyzes, and evaluates the trends of NMRT as they relate to the Round Tables mission statement. ...
Resource Allocation with Time Intervals Andreas Darmann Ulrich Pferschy Joachim Schauer Abstract We study a resource allocation problem where jobs have the following characteristics: Each job consumes
This is further compounded by the fact that current asset allocation optimizers ignore active managers style blend. Said another way, every manager is assumed to be pure in their respective style category. As a result, most asset allocation strategies are immediately corrupted upon implementation. When the ERO methodology is overlaid in the portfolio construction process this deficiency is better addressed. Additionally, there are compounded asset allocation implications to be considered as a result of ignoring this active manager style purity issue. Imagine this one managers style analysis multiplied by the number of active managers you currently have in your aggregated diversified portfolio. What is your actual asset allocation and how does it compare to the recommended asset allocation you think you have?. Asset allocation is critically important for attempting to achieve the investors Essential Returns Objective (ERO) and developing an effective and efficient portfolio structure. Since ...
FY2020 Resource Requests and Budget Allocations. Planning efforts at Lane are organized around the colleges mission and core themes.. Institutional Planning efforts represent college-wide strategic directions and priority actions needed to support and improve achievement of Lanes core theme objectives. Institutional plans both inform and are informed by Program and Department Plans, which include program review and annual department planning.. As illustrated in the graphic below, institutional and program/department implementation plans flow into the annual budget development process. Resource allocation is driven by financial forecasts, budgetary projections, and strategic allocation of available resources identified through the planning process.. Once plans are executed, outcomes are assessed, with summative reports provided to the Institutional Effectiveness Commission, Board of Education and campus community and serve as an input to the next planning cycle.. ...
Saprotrophic woodland fungi forage for mineral nutrients and woody resources by extension of a mycelial network across the forest floor. Different species explore at different rates and establish networks with qualitatively differing architecture. However, detailed understanding of fungal foraging behaviour has been hampered by the absence of tools to quantify resource allocation and growth accurately and non-invasively. To solve this problem, we have used photon-counting scintillation imaging (PCSI) to map and quantify nutrient allocation and localised growth simultaneously in heterogeneous resource environments. We show that colonies spontaneously shift to an asymmetric growth pattern, even in the absence of added resources, often with a distinct transition between the two growth phases. However, the extent of polarisation was much more pronounced and focussed in the presence of an additional cellulose resource. In this case, there was highly localised growth, often at the expense of growth elsewhere
The Fund seeks high total return with a shift to current income and some capital appreciation over time as the Fund approaches and passes the target retirement date. The JPMorgan SmartRetirement 2055 Fund is a fund of funds that primarily invests in other mutual funds within the same group of investment companies, and is generally intended for investors expecting to retire around the year 2055 (target retirement date). The Fund is designed to provide exposure to a variety of asset classes through investments in underlying funds, and over time the Funds asset allocation strategy will change. The glide path depicted in the chart below shows how the Funds strategic target allocations among asset and sub-asset classes generally become more conservative as the target retirement date approaches (i.e., more emphasis on fixed income and less on equity). The table accompanying the chart is simply the glide path in tabular form.. ...
We quantify the emergence of biofuel markets and its impact on world agriculture using the multimarket, multicommodity international FAPRI model. The model incorporates trade-offs between biofuel, feed, and food production and consumption and international feedback effects of the emergence through world prices and trade. We shock the model with exogenous changes in ethanol demand, first in the United States, then in Brazil and other countries, and compute shock multipliers for land allocation decisions for important crops and countries. The Brazilian ethanol expansion using sugarcane has fewer consequences on existing arable land allocation than the U.S. ethanol expansion does using corn feedstock.
Disclosed are various embodiments for a resource allocation application. Usage data for application program interfaces is aggregated over time. Limits for an allocation of resources for each of the ap
An accompanying editorial by Richard B. Freeman, M.D. of the Division of Transplant Surgery at Tufts-New England Medical Center in Boston, MA, notes that while quality of life is an important component of healthcare decision-making, decisions about organ allocation must be considered within the context of the severe organ shortage. In the current extremely constrained donor supply, the question is not whether an individual patient s HRQL [health-related quality of life] is poor enough to warrant intervention with transplantation but more directly, to whom, among all of the potential recipients of a given donor liver, should that donor liver be offered. He maintains that quality of life should not outweigh mortality risk in organ allocation decisions and that a patient must first be alive in order to measure his or her quality of life ...
Kidney paired donation (KPD) was first suggested in 1986, but it was not until 2000 when the first paired donation transplant was performed in the USA. In the past decade, KPD has become the fastest growing source of transplantable kidneys, overcoming the barrier faced by living donors deemed incompatible with their intended recipients. This review provides a basic overview of the concepts and challenges faced by KPD as we prepare for a national pilot program with the United Network for Organ Sharing. Several different algorithms have been creatively implemented in the USA and elsewhere to transplant paired donors, each method uniquely contributing to the success of KPD. As the paired donor pool grows, the problem of determining allocation strategies that maximize equity and utility will become increasingly important as the transplant community seeks to balance quality and quantity in choosing the best matches. Financing for paired donation is a major issue, as philanthropy alone cannot ...
Risk Parity is a portfolio allocation strategy based on targeting risk levels across the various components of an investment portfolio.
In their experimental task, called the Behavioral Investment Allocation Strategy (BIAS) task, Kuhnen and Knutson asked subjects to make an investment choice between three alternatives. Two of the alternatives were risky stocks (either Stock A or Stock B), one with a net positive payoff over the 10 trials, and the other with a net negative payoff over the ten trials. At the beginning of each block of 10 trials, subjects did not know which stock was profitable or which was money losing. The good stock had a payoff of +$10 (50%), $0 (25%), and -$10 (25%), for an expected value per trial of $2.50. While the bad stock had payoffs of +$10 (25%), $0 (25%), and -$10 (50%), for an expected value per trial of -$2.50. A third choice was a bond which yielded a constant return of $1 per trial ...
As a senior vice president at Morgan Stanley, Robert Chen has over six years of experience in helping high net worth individuals and family clientele shape and implement their overall asset allocation strategies.
Stochastic local search (SLS) algorithms are well known for their ability to efficiently find models of random instances of the Boolean satisfiability (SAT) problems. One of the most famous SLS algorithms for SAT is called WalkSAT, which has wide influence and performs well on most of random 3-SAT instances. However, the performance of WalkSAT lags far behind on random 3-SAT instances equal to or greater than the phase transition ratio. Motivated by this limitation, in the present work, firstly an allocation strategy is introduced and utilized in WalkSAT to determine the initial assignment, leading to a new algorithm called WalkSATvav. The experimental results show that WalkSATvav significantly outperforms the state-of-the-art SLS solvers on random 3-SAT instances at the phase transition for SAT Competition 2017. However, WalkSATvav cannot rival its competitors on random 3-SAT instances greater than the phase transition ratio. Accordingly, WalkSATvav is further improved for such instances by utilizing a
Risk Parity is a portfolio allocation strategy based on targeting risk levels across the various components of an investment portfolio.
Stephane Deo, global head of asset allocation strategy at UBS, that they are risk on for 2013 as they expect the recovery to continue.
For example, MMSD has used essentially the same staffing allocation process for over ten years under the cost to continue approach, with only minor modifications along the way. While the existing allocation process is uniform and consistent, it can be improved by making it more responsive to the challenges presented by individual schools. The senior leadership team, with input from the principals, is assessing the staffing allocation process this month before any allocation decisions are put into motion in February ...
A resource allocation of multiple compressed AV streams delivered over the Internet is disclosed that achieves end-to-end optimal quality through a multimedia streaming TCP-friendly transport (MSTFP) protocol that adaptively estimates the network bandwidth while smoothing the sending rate. Resources allocated dynamically according to a media encoding distortion and network degradation algorithm. A scheme is also disclosed for dynamically estimating the available network bandwidth for streaming of objects, such as MPEG4 multiple video objects, in conjunction with the MSTFP protocol. The scheme can account for packet-loss rates to minimize end-to-end distortion for media delivery.
Cost Effectiveness and Resource Allocation accepts manuscripts on all aspects of cost-effectiveness analysis. This includes conceptual or methodological work, ...
Cost Effectiveness and Resource Allocation accepts manuscripts on all aspects of cost-effectiveness analysis. This includes conceptual or methodological work, ...
Downloadable! We study the portfolio allocation decisions of Australian households using the relatively new Household Income and Labour Dynamics in Australia (HILDA) survey. We focus on household allocations to risky financial assets. Our empirical analysis considers a range of hypothesised determinants of these allocations. We find background risk factors posed by labour income uncertainty and health risk are important. Credit constraints and observed risk preferences play the expected role. A positive age gradient is identified for risky asset holdings and home-ownership is associated with greater risky asset holdings. A unifying theme for many of our empirical findings is the important role played by financial awareness and knowledge in determining risky asset holdings. Many non-stockholding households appear to lack the experience and financial literacy that might enable them to benefit from direct investment in stocks.
This paper analyses whether the use of uncorrelated underlying risk factors, as opposed to correlated asset returns, can lead to a more efficient framework for measuring and managing portfolio diversification.. The paper, by academics at EDHEC Business School and SYMMYS, acknowledges that the ability to construct well-diversified portfolios is a challenge of critical importance in the context of designing good proxies for performance-seeking portfolios. It shows that a seemingly well-diversified allocation to asset classes may well result in a portfolio that is heavily concentrated in terms of factor exposures. In this context, it argues, it is of high relevance to measure and manage the effective number of bets in a portfolio.. To access the paper click below. Risk Parity and Beyond - From Asset Allocation to Risk Allocation Decisions. ...
Move comes after Barack Obama told US agencies to consider local gay rights when making foreign aid allocation decisions... | Queer African Reader
Article A seasonal waste load allocation policy in an integrated discharge permit and reclaimed water market. This paper intends to assess the seasonal demand for nitrogen discharge permits and its influence on waste load allocation (WLA) strategies....
The paper presents a reinforcement learning solution to dynamic resource allocation for 5G radio access network slicing. Available communication resources (frequency-time blocks and transmit powers) and computational resources (processor usage) are allocated to stochastic arrivals of network slice requests. Each request arrives with priority (weight), throughput, computational resource, and latency (deadline) requirements, and if feasible, it is served with available communication and computational resources allocated over its requested duration. As each decision of resource allocation makes some of the resources temporarily unavailable for future, the myopic solution that can optimize only the current resource allocation becomes ineffective for network slicing. Therefore, a Q-learning solution is presented to maximize the network utility in terms of the total weight of granted network slicing requests over a time horizon subject to communication and computational constraints. Results show that ...
In this paper, we employ deep reinforcement learning to develop a novel radioresource allocation and packet scheduling scheme for different Quality ofService (QoS) requirements applicable to LTEadvanced and 5G networks. Inaddition, regarding the scarcity of spectrum in below 6GHz bands, the proposedalgorithm
The provision of life-saving antiretroviral (ARV) treatment has emerged as a key component of the global response to HIV/AIDS, yet little is known about the imp
报告人简介:章定,美国StateUniversityofNewYorkatOswego终身教授,香港理工大学、复旦大学客座教授,南京理工大学
For space-division multiplexing (SDM) via block diagonalization on multiuser multiple-input multiple-output (MIMO) wireless downlink, it is shown that rece
Downloadable! One set of n objects of type I, another set of n objects of type II, and an amount M of money is to be completely allocated among n agents in such a way that each agent gets one object of each type with some amount of money. We propose a new solution concept to this problem called a perfectly fair allocation. It is a refinement of the concept of fair allocation. An appealing and interesting property of this concept is that every perfectly fair allocation is Pareto optimal. It is also shown that a perfectly fair allocation is envy free and gives each agent what he likes best, and that a fair allocation need not be perfectly fair. Furthermore, we give a necessary and sufficient condition for the existence of a perfectly fair allocation. Precisely, we show that there exists a perfectly fair allocation if and only if the valuation matrix is an optimality preserved matrix. Optimality preserved matrices are a class of new and interesting matrices. An extension of the model is also discussed.
Principal Investigator:SHIMIZU Kentaro, Project Period (FY):1998 - 2000, Research Category:Grant-in-Aid for Scientific Research (C), Section:一般, Research Field:計算機科学
Usage Notes. Specifying the Path of the Allocation. The path of the allocation is the route the allocation system takes to go from the source data to the target data. Very different results derive from different allocation paths. You specify the path with the RELATION statements that you enter in the aggmap. The relation objects in the RELATION statements and the order of those statements specify the path and the method of allocation.. The allocation path goes from any level in the hierarchy of a dimension to any lower level of the hierarchy. You use a relation object that relates the members of the hierarchy to each other (a self-relation) to identify the elements of the hierarchy that you want to participate in the allocation. The allocation proceeds down the hierarchy of the dimension in the first RELATION statement in the aggmap, then down the hierarchy of the second RELATION statement, and so on.. When the dimension has multiple hierarchies, you must use the qdr argument in the RELATION ...
Allocations of autonomous system numbers are made to regional Internet registries according to their needs, based on allocation rates they publish. Specifically, RIRs are eligible for further allocations if their available address space is 80% allocated, or the available pool does not satisfy two months of need based on the previous six months average allocation rate. ...
Beginning with the OES 2015 SP1 release, the NSS file system has improved disk storage allocation policies. This improvement in disk storage allocation is referred to as delayed block allocation. Delayed block allocation improves the file system performance and reduces the file fragmentation by effectively writing larger amounts of data at a time. Delayed block … +read more. ...
Administration and Management - Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.. ...
Administration and Management - Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.. ...