scholarly journals Cost-Sharing Requirements for the Herpes Zoster Vaccine in Adults Aged 60+

2019 ◽  
Vol 35 (6) ◽  
pp. 258-269
Author(s):  
Casey R. Tak ◽  
Jaewhan Kim ◽  
Karen Gunning ◽  
Catherine M. Sherwin ◽  
Nancy A. Nickman ◽  
...  
Keyword(s):  
Herpes Zoster ◽  
Cost Sharing ◽  
Cost Model ◽  
Low Cost ◽  
Cost Models ◽  
Zoster Vaccine ◽  
Major Barrier ◽  
Cohort Design ◽  
Pharmacy Claims ◽  
The Cost

Background: Rates of zoster vaccination in US adults aged 60+ were approximately 30.6% in 2015. Out-of-pocket cost-sharing has been identified as a major barrier to vaccination for patients. To date, herpes zoster vaccine cost-sharing requirements for adults aged 60 to 64 has not been described. Objective: Compare the cost-sharing requirements for zoster vaccination in adults aged 60 to 64 and adults aged 65+. Methods: A retrospective cohort design examined pharmacy claims for zoster vaccination from the Utah All Payer Claims Database for adults aged 60+. Descriptive statistics and a 2-part cost model compared cost-sharing requirements for adults aged 60 to 64 and adults 65+. Results: Of the 30 293 zoster vaccine claims, 13 398 (45.8%) had no cost-sharing, 1716 (5.9%) had low cost-sharing (defined as $1 to less than $30), and 14 133 (48.3%) had high cost-sharing (defined as $30 or more). In the cost models, adults aged 65+ had higher odds of any cost-sharing (odds ratio = 39.86) and 29% higher cost-sharing as compared with adults aged 60 to 64. Conclusions: Adults aged 60 to 64 encounter lower cost-sharing requirements than adults aged 65+. Providers should be cognizant of this dynamic and encourage zoster vaccination prior to the age of 65.

scholarly journals GASOL: Gas Analysis and Optimization for Ethereum Smart Contracts

2020 ◽  
pp. 118-125 ◽  
Author(s):  
Elvira Albert ◽  
Jesús Correas ◽  
Pablo Gordillo ◽  
Guillermo Román-Díez ◽  
Albert Rubio
Keyword(s):  
Upper Bound ◽  
Cost Model ◽  
Gas Analysis ◽  
Smart Contracts ◽  
Cost Models ◽  
Automatic Optimization ◽  
Gas Consumption ◽  
The Cost ◽  
Storage Patterns ◽  
Program Line

Abstract We present the main concepts, components, and usage of Gasol, a Gas AnalysiS and Optimization tooL for Ethereum smart contracts. Gasol offers a wide variety of cost models that allow inferring the gas consumption associated to selected types of EVM instructions and/or inferring the number of times that such types of bytecode instructions are executed. Among others, we have cost models to measure only storage opcodes, to measure a selected family of gas-consumption opcodes following the Ethereum’s classification, to estimate the cost of a selected program line, etc. After choosing the desired cost model and the function of interest, Gasol returns to the user an upper bound of the cost for this function. As the gas consumption is often dominated by the instructions that access the storage, Gasol uses the gas analysis to detect under-optimized storage patterns, and includes an (optional) automatic optimization of the selected function. Our tool can be used within an Eclipse plugin for which displays the gas and instructions bounds and, when applicable, the gas-optimized function.

scholarly journals An IoT Smart Broiler Farming Model for Low Income Farmers

2018 ◽  
Vol 6 (3) ◽  
pp. 95
Author(s):  
Hazael Phiri ◽  
Douglas Kunda ◽  
Jackson Phiri
Keyword(s):  
Low Income ◽  
Cost Model ◽  
Low Cost ◽  
Ease Of Use ◽  
Climate Control ◽  
Proposed Model ◽  
Zigbee Protocol ◽  
Gsm Network ◽  
The Cost ◽  
Broiler House

<p class="Abstract"><span lang="EN-US">The coming of Internet of things (IoT) brings opportunities for the deploying of wireless sensor networks. One area of deployment is smart poultry farming to improve the quality and security of chicken varieties that include broilers. The quality of broilers produced is dependent on the environment in which the broilers are kept. In addition, the revenue of the farmer is guaranteed if theft of stock is prevented. The current methods farmers use are labour intensive and time consuming as they are manual. Leveraging the features of IoT and sensors can help to monitor the environment and ensure adverse conditions are reported for farmers to take action before they harm the livestock. Incorporating intruder detection when monitoring conditions in the environment can also prevent stock theft and that can increase the income obtained by farmers. For such a system to be widely adopted by low income farmers, the cost should be low compared commercially available climate control systems that are meant for commercial farmers. The system should also provide ease of use for less technically skilled farmers, reduce the time taken by farmers to take action in controlling theft and conditions in the environment and be accessible from any location other than the broiler house. In this paper, we propose a low-cost model that can be used to monitor conditions in the environment of a broiler house and send the values to the farmer in real-time. The proposed model is based on open source microcontrollers, ZigBee protocol, GSM network, mobile applications and cloud computing. </span></p>

Incorporation of manufacturing information into an MDO environment

1999 ◽  
Vol 103 (1026) ◽  
pp. 383-388 ◽  
Author(s):  
K. Gantois ◽  
A. J. Morris
Keyword(s):  
Cost Model ◽  
Design Stage ◽  
Manufacturing Cost ◽  
Cost Models ◽  
Cost Modelling ◽  
Design Changes ◽  
Recurrent Cost ◽  
Preliminary Design Stage ◽  
Wing Sweep ◽  
The Cost

Abstract The Paper describes a metal and composite recurrent cost model of a large civil aircraft wing structure for a multidisciplinary design, analysis and optimisation (MDO) environment. The work was part of a recent European MDO project (BE95-2056) which investigated methods for the integration of structures, aerodynamics, dynamics and manufacturing cost at the preliminary design stage. The paper discusses the cost modelling approach, which is based on parametric and process cost model methods, and the integration of the cost models into an MDO process. Results for the cost models are shown. A framework has been successfully developed which allows the incorporation of manufacturing cost models into an MDO environment. It allows a designer to evaluate cost changes with respect to specific design changes such as rib pitch, stringer pitch, wing area and wing sweep.

A Levelized Cost of Energy (LCOE) Model for Wind Farms That Includes Power Purchase Agreement (PPA) Energy Delivery Limits

2016 ◽  
Author(s):  
Maira Bruck ◽  
Navid Goudarzi ◽  
Peter Sandborn
Keyword(s):  
Wind Farm ◽  
Cost Model ◽  
Wind Farms ◽  
Cost Models ◽  
Renewable Energy Resources ◽  
Supply Source ◽  
Levelized Cost ◽  
Cost Of Energy ◽  
Expected Performance ◽  
The Cost

The cost of energy is an increasingly important issue in the world as renewable energy resources are growing in demand. Performance-based energy contracts are designed to keep the price of energy as low as possible while controlling the risk for both parties (i.e., the Buyer and the Seller). Price and risk are often balanced using complex Power Purchase Agreements (PPAs). Since wind is not a constant supply source, to keep risk low, wind PPAs contain clauses that require the purchase and sale of energy to fall within reasonable limits. However, the existence of those limits also creates pressure on prices causing increases in the Levelized Cost of Energy (LCOE). Depending on the variation in capacity factor (CF), the power generator (the Seller) may find that the limitations on power purchasing given by the utility (the Buyer) are not favorable and will result in higher costs of energy than predicted. Existing cost models do not take into account energy purchase limitations or variations in energy production when calculating an LCOE. A new cost model is developed to evaluate the price of electricity from wind energy under a PPA contract. This study develops a method that an energy Seller can use to negotiate delivery penalties within their PPA. This model has been tested on a controlled wind farm and with real wind farm data. The results show that LCOE depends on the limitations on energy purchase within a PPA contract as well as the expected performance characteristics associated with wind farms.

scholarly journals Economics of an Additive Manufactured Heat Exchanger for Concentrating Solar Power

2022 ◽  
Author(s):  
Tracey Ziev ◽  
Erfan Rasouli ◽  
Ines Noelly-Tano ◽  
Ziheng Wu ◽  
Srujana Yarasi Rao ◽  
...  
Keyword(s):  
High Efficiency ◽  
Solar Power ◽  
Cost Model ◽  
Low Cost ◽  
Operating Conditions ◽  
Concentrated Solar Power ◽  
Future Technologies ◽  
The Cost ◽  
Alternative Current ◽  
The Impact

Developing low cost, high efficiency heat exchangers (HX) for application in concentrated solar power (CSP) is critical to reducing CSP costs. However, the extreme operating conditions in CSP systems present a challenge for typical high efficiency HX manufacturing processes. We describe a process-based cost model (PBCM) to estimate the cost of fabricating an HX for this application using additive manufacturing (AM). The PBCM is designed to assess the effectiveness of different designs, processes choices, and manufacturing innovations to reduce HX cost. We describe HX design and AM process modifications that reduce HX cost from a baseline of$780/kW-thto$570/kW-th. We further evaluate the impact of alternative current and potential future technologies on HX cost, and identify a pathway to further reduce HX cost to$270/kW-th.

scholarly journals Improving Access to Refractive Services in Adults: A Health Examination Center-Based Model

2021 ◽  
Vol 8 ◽  
Author(s):  
Haishuang Lin ◽  
Jing Sun ◽  
Nathan Congdon ◽  
Meiping Xu ◽  
Shanshan Liu ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Refractive Error ◽  
Single Case ◽  
Cost Model ◽  
Low Cost ◽  
Tertiary Hospital ◽  
Fundus Photography ◽  
Health Examination ◽  
The Cost ◽  
Uncorrected Refractive Error

Purpose: To assess the potential of a health examination center-based screening model in improving service for uncorrected refractive error.Methods: Individuals aged ≥18 years undergoing the routine physical examinations at a tertiary hospital in the northeast China were invited. Presenting visual acuity, noncycloplegic autorefraction, noncontact tonometry, fundus photography, and slit-lamp examination were performed. Refractive error was defined as having spherical equivalent ≤ -0.75 D or ≥ +1 D and uncorrected refractive error was considered as refractive error combined with presenting visual acuity &lt; 6/12 in the better eye. Costs for the screening were assessed.Results: A total of 5,284 participants (61 ± 14 years) were included. The overall prevalence of myopia and hyperopia was 38.7% (95% CI, 37.4–40.0%) and 23.5% (95% CI, 22.3–24.6%), respectively. The prevalence of uncorrected refractive error was 7.85% (95% CI, 7.13–8.58%). Women (p &lt; 0.001 and p = 0.003), those with age ≥ 70 years (p &lt; 0.001 and p = 0.003), and myopia (p &lt; 0.001 and p &lt; 0.001) were at higher risk of uncorrected refractive error and uncorrected refractive error-related visual impairment. Spectacle coverage rate was 70.6% (95% CI, 68.2–73.0%). The cost to identify a single case of refractive error and uncorrected refractive error was US$3.2 and US$25.2, respectively.Conclusion: The prevalence of uncorrected refractive error is high in the urban Chinese adults. Health examination center-based refractive error screening is able to provide an efficient and low-cost model to improve the refractive services in China.

A Methodology for the Comprehensive Assessment of International Procurement Costs

2012 ◽  
Author(s):  
Michael D. Johnson ◽  
William J. Sawaya ◽  
Malini Natarajarathinam
Keyword(s):  
Cost Model ◽  
Low Cost ◽  
Labor Cost ◽  
Location Decisions ◽  
Illustrative Case ◽  
Manufacturing Costs ◽  
Holding Costs ◽  
Illustrative Case Study ◽  
The Cost ◽  
Inventory Holding

As the economy becomes more globalized and competitive, firms are manufacturing goods in a wider variety of locations. This may be to reduce costs by moving to a low cost country or to place production closer to potential customers. What is often lacking in these decisions is a holistic assessment of the costs associated with production location decisions. Too often the assessment is focused only on a limited set of cost factors (e.g., direct manufacturing and shipping) and does not take into account the dynamic nature of some costs. To address these limitations a comprehensive cost model to assess the cost of procuring goods from alternative locations is presented. A methodology is detailed for monetizing the numerous costs associated with international procurement. An illustrative case study analyzing the procurement of goods from two locations in Mexico and one in the US is detailed. Results of the case show that the non-direct manufacturing costs associated with procurement (e.g., inventory holding costs and shipping) can be greater than direct manufacturing costs. The effects of fuel and labor cost sensitively on the alternative locations is also detailed.

scholarly journals Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

Entropy ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. 1352
Author(s):  
Felipe Castro-Medina ◽  
Lisbeth Rodríguez-Mazahua ◽  
Asdrúbal López-Chau ◽  
Jair Cervantes ◽  
Giner Alor-Hernández ◽  
...  
Keyword(s):  
Response Times ◽  
Cost Model ◽  
Multimedia Databases ◽  
Reference Points ◽  
Cost Models ◽  
Execution Costs ◽  
Dynamic Fragmentation ◽  
Testing Stage ◽  
Access Patterns ◽  
The Cost

Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases include data whose main characteristic is their large size, therefore, database administrators face a challenge of great importance, since they must contemplate the different qualities of non-trivial data. These databases over time undergo changes in their access patterns. Different fragmentation techniques presented in related studies show adequate workflows, however, some do not contemplate changes in access patterns. This paper aims to provide an in-depth review of the literature related to dynamic fragmentation of multimedia databases, to identify the main challenges, technologies employed, types of fragmentation used, and characteristics of the cost model. This review provides valuable information for database administrators by showing essential characteristics to perform proper fragmentation and to improve the performance of fragmentation schemes. The reduction of costs in fragmentation methods is one of the most desired main properties. To fulfill this objective, the works include cost models, covering different qualities. In this analysis, a set of characteristics used in the cost models of each work is presented to facilitate the creation of a new cost model including the most used qualities. In addition, different data sets or reference points used in the testing stage of each work analyzed are presented.

scholarly journals Low-Cost Model for Battlefield Wound and Hemorrhage Training

2022 ◽  
Author(s):  
James T Bates ◽  
Christopher W Kelly ◽  
Joshua E Lane
Keyword(s):  
Life Support ◽  
Cost Model ◽  
Low Cost ◽  
Simulation Models ◽  
Massive Hemorrhage ◽  
Grocery Store ◽  
Cost Models ◽  
Combat Casualty ◽  
Start Up ◽  
Life Saving

ABSTRACT Introduction Exsanguination is the leading cause of preventable death on the battlefield and in austere environments. Multiple courses have been developed to save lives by stopping hemorrhage. Training for this requires simulation models; however, many models are expensive, preventing the further expansion of this life-saving training. We present a low-cost model for hemorrhage training and realistic moulage based on simple medical supplies and grocery store meats. Materials and Methods Wound packing training was completed by use of a block of pork shoulder roast with an incision simulating a wound and IV tubing connected to a syringe with fake blood. Hemostasis was obtained with proper wound packing by the student, causing the bleeding to be tamponaded. Wound moulage utilized remaining supplies of pork roast being attached to patient actors or mannequins and adorned with fake blood creating wounds with the appearance and feel of real tissues. Results Tactical Combat Casualty Care (TCCC) training was completed at a small military medical facility with a start-up cost of less than $70 and a single course as cheap as $15. These methods have been utilized to establish other TCCC training centers while keeping costs low. Conclusions We present low-cost models for simulating massive hemorrhage for wound packing with pork roast and realistic moulage. These methods can be utilized for other hemorrhage training courses such as TCCC, Advanced Wilderness Life Support, and Stop the Bleed.

scholarly journals Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators

2022 ◽  
Vol 19 (1) ◽  
pp. 1-26
Author(s):  
Prasanth Chatarasi ◽  
Hyoukjun Kwon ◽  
Angshuman Parashar ◽  
Michael Pellauer ◽  
Tushar Krishna ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cost Model ◽  
Cost Models ◽  
Mapping Space ◽  
Loop Nest ◽  
Loop Nests ◽  
Higher Dimensional ◽  
On Chip ◽  
The Cost ◽  
Dimensional Mapping

A spatial accelerator’s efficiency depends heavily on both its mapper and cost models to generate optimized mappings for various operators of DNN models. However, existing cost models lack a formal boundary over their input programs (operators) for accurate and tractable cost analysis of the mappings, and this results in adaptability challenges to the cost models for new operators. We consider the recently introduced Maestro Data-Centric (MDC) notation and its analytical cost model to address this challenge because any mapping expressed in the notation is precisely analyzable using the MDC’s cost model. In this article, we characterize the set of input operators and their mappings expressed in the MDC notation by introducing a set of conformability rules . The outcome of these rules is that any loop nest that is perfectly nested with affine tensor subscripts and without conditionals is conformable to the MDC notation. A majority of the primitive operators in deep learning are such loop nests. In addition, our rules enable us to automatically translate a mapping expressed in the loop nest form to MDC notation and use the MDC’s cost model to guide upstream mappers. Our conformability rules over the input operators result in a structured mapping space of the operators, which enables us to introduce a mapper based on our decoupled off-chip/on-chip approach to accelerate mapping space exploration. Our mapper decomposes the original higher-dimensional mapping space of operators into two lower-dimensional off-chip and on-chip subspaces and then optimizes the off-chip subspace followed by the on-chip subspace. We implemented our overall approach in a tool called Marvel , and a benefit of our approach is that it applies to any operator conformable with the MDC notation. We evaluated Marvel over major DNN operators and compared it with past optimizers.

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