Positional accommodative intraocular lens power error induced by the estimation of the corneal power and the effective lens position

Purpose: To evaluate the predictability of the refractive correction achieved with a positional accommodating intraocular lenses (IOL) and to develop a potential optimization of it by minimizing the error associated with the keratometric estimation of the corneal power and by developing a predictive formula for the effective lens position (ELP). Materials and Methods: Clinical data from 25 eyes of 14 patients (age range, 52–77 years) and undergoing cataract surgery with implantation of the accommodating IOL Crystalens HD (Bausch and Lomb) were retrospectively reviewed. In all cases, the calculation of an adjusted IOL power (PIOLadj) based on Gaussian optics considering the residual refractive error was done using a variable keratometric index value (nkadj) for corneal power estimation with and without using an estimation algorithm for ELP obtained by multiple regression analysis (ELPadj). PIOLadj was compared to the real IOL power implanted (PIOLReal, calculated with the SRK-T formula) and also to the values estimated by the Haigis, HofferQ, and Holladay I formulas. Results: No statistically significant differences were found between PIOLReal and PIOLadj when ELPadj was used (P = 0.10), with a range of agreement between calculations of 1.23 D. In contrast, PIOLReal was significantly higher when compared to PIOLadj without using ELPadj and also compared to the values estimated by the other formulas. Conclusions: Predictable refractive outcomes can be obtained with the accommodating IOL Crystalens HD using a variable keratometric index for corneal power estimation and by estimating ELP with an algorithm dependent on anatomical factors and age.

THE DESIGN OF A POWER SYSTEM FOR A WIRELESS SENSOR NETWORK FOR LONG-TERM OPERATION

Wireless sensor networks (WSNs) have shown wide applicability to many fields including monitoring of environmental, civil, and industrial settings. WSNs however are resource constrained by many competing factors that span their hardware, software, and networking. One of the central resource constrains is the charge consumption of WSN nodes. With finite energy supplies, low charge consumption is needed to ensure long lifetimes and success of WSNs. This thesis details the design of a power system to support long-term operation of WSNs. The power system’s development occurs in parallel with a custom WSN from the Queen’s MEMS Lab (QML-WSN), with the goal of supporting a 1+ year lifetime without sacrificing functionality. The final power system design utilizes a TPS62740 DC-DC converter with AA alkaline batteries to efficiently supply the nodes while providing battery monitoring functionality and an expansion slot for future development. Testing tools for measuring current draw and charge consumption were created along with analysis and processing software. Through their use charge consumption of the power system was drastically lowered and issues in QML-WSN were identified and resolved including the proper shutdown of accelerometers, and incorrect microcontroller unit (MCU) power pin connection. Controlled current profiling revealed unexpected behaviour of nodes and detailed current-voltage relationships. These relationships were utilized with a lifetime projection model to estimate a lifetime between 521-551 days, depending on the mode of operation. The power system and QML-WSN were tested over a long term trial lasting 272+ days in an industrial testbed to monitor an air compressor pump. Environmental factors were found to influence the behaviour of nodes leading to increased charge consumption, while a node in an office setting was still operating at the conclusion of the trail. This agrees with the lifetime projection and gives a strong indication that a 1+ year lifetime is achievable. Additionally, a light-weight charge consumption model was developed which allows charge consumption information of nodes in a distributed WSN to be monitored. This model was tested in a laboratory setting demonstrating +95% accuracy for high packet reception rate WSNs across varying data rates, battery supply capacities, and runtimes up to full battery depletion.

To Be or Not to Be a Normative Power: The EU’s Promotion of Human Rights and Democracy in Russia. Bruges Regional Integration & Global Governance Papers 2/2013

The ‘Normative Power Europe’ debate has been a leitmotif in the academic discourse for over a decade. Far from being obsolete, the topic is as relevant as when the term was first coined by Ian Manners in 2002.1 ‘To be or not to be a normative power’ is certainly one of the existential dilemmas in the foreign policy of the European Union. This paper, however, intends to move beyond the black-and-white debate on whether the European Union is a normative power and to make it more nuanced by examining the factors that make it such. Contrary to the conventional perception that the European Union is a necessarily ‘benign’ force in the world, it assumes that it has aspirations to be a viable international actor. Consequently, it pursues different types of foreign policy behaviour with a varying degree of normativity in them. The paper addresses the question of under what conditions the European Union is a ‘normative power’. The findings of the study demonstrate that the ‘normative power’ of the European Union is conditioned upon internal and external elements, engaged in a complex interaction with a decisive role played by the often neglected external elements.

Citizenship in post-awakening Egypt: power shifts and conflicting perceptions.

This report links Egypt’s shifting political phases to debates more specifically about citizenship rights. It offers a general overview of Egypt’s recent political trajectory, before unpacking the various dimensions of debates over citizenship rights. In each of the three political phases since Mubarak’s ousting, citizenship rights have been curtailed. Crucially, the reasons for their constriction have been different in each phase. Some limitations have derived from largely political power plays, others from more philosophical-theological factors. It is important to distinguish between these different forms of debate if we are better to understand prospects for the future of citizenship rights in Egypt.

An international study on the impact of cultural factors on the prevalence of family-owned firms. ACES Working Papers, August 2010

A key question in international corporate governance is why certain in ownership types are prevalent in different countries around the world (La Prota et al., 1999). In this study, we provide an answer for the prevalence of the family-owned firms in 42 countries by examining key characteristics of culture. We show that family-ownership is positively correlated with power distance (PD), in-group collectivism (CI) and, insignificantly, with uncertainty avoidance (UA). Our study makes a contribution to the field since previous research used religion and language as umbrella constructs for culture, while we pinpoint specific cultural dimensions.

Coalitions, Power and Institutional Change in Global Patent Politics. IES WORKING PAPER 2/2013

With the 1995 Agreement on Trade - related Aspects of Intellectual Property Rights (TRIPS), a centralised rule - system for the international governance of patents was put in place under the general framework of the World Trade Organisation (WTO). Since then, the number of patent – related institutions has increased monotonically on the multilateral, plurilateral and bilateral levels. I will explain this case of institutional change by focusing on the norm – setting activities of both industrialised and developing countries, arguing that both groups constitute internally highly cohesive coalitions in global patent politics, while institutional change occurs when both coalitions engage in those negotiating settings in which they enjoy a comparative advantage over the other coalition. Specifically, I make the point that industrialised countries’ norm – setting activities take place on the plurilateral and bilateral level, where economic factors can be effectively translated into political outcomes while simultaneously avoiding unacceptably high legitimacy costs; whereas developing countries, on the other hand, use various multilateral United Nations (UN) forums where their claims possess a high degree of legitimacy, but cannot translate into effective political outcomes. The paper concludes with some remarks on how this case yields new insights into ongoing debates in institutionalist International Relations (IR), as pertaining to present discussions on “regime complexity”.

Who Is Influential and Why? The Determinants of Reputational Power

Power is one of the most fundamental concepts in political science, and it is a crucial aspect of decision-making structures. The distribution of power between political actors and coalitions of actors informs us about who is actually able to influence decision-making processes. It is thus no surprise that power is a centerpiece of our assessment of political decision-making in Switzerland. In line with the main argument of this book, Chapter 3 has uncovered important changes in decision-making structures, which resulted in a rebalancing of power between governing parties, interest groups and state executive actors. Conjecturing about the reasons that may account for these changes, we pointed to factors of an organizational and institutional nature. For example, we put forward the decline of pre-parliamentary procedures oriented towards corporatist intermediation as a possible explanation for the weakening of interest groups. More generally, in several chapters it has been suggested that there is a relationship between the institutional design of a decision-making process, the related importance of decision-making phases and an actor's participation in these phases on the one hand, and the power of actors (and coalitions of actors) on the other. In addition, the analyses carried out in Chapters 2 to 5 draw our attention to the differences in power structure across decision-making processes or types of processes.

Factors affecting the use of CaF2 : Mn thermoluminescent dosimeters for low-level environmental radiation monitoring /

Mode of access: Internet.

Energy technology characterizations handbook : environmental pollution and control factors /

Rev. ed. of the Office of Environmental Assessments' Technology characterizations (1981). Includes 13 additional ECIRs (Environmental Characterization Information Reports).

Factors associated with pregnant women's participation in a mHealth intervention in Timor-Leste

Thesis (Master's)--University of Washington, 2016-06

Friction factors and rheological behavior of Australian honey in a straight pipe

The pumping characteristics of four Australian honey samples were investigated in a straight pipe. Six flow rates (100-500 kg h(-1)) were studied at three temperatures (35-50degreesC). The pressure loss increased with an increase in the length of the pipe, as the low rate was increased and as the temperature was reduced. In the 25.4 mm-pipe, the Reynolds number ranged from 0.2-32.0 and are substantially less than the critica value (2040-2180) for laminar condition in the system. The relationship between the wall shear stress and shear rate approximated power-law behaviour, and the power-law index was not significantly (p>0.05) different from 1.0. The honey samples exhibited Newtonian behaviour at all the temperatures and this was confirmed by rheometric studies using Couette geometry. A friction chart was generated independent of temperature and the type of honey. An equation was developed to predict the pressure loss of the honey in a typical pipeline at any temperature once the viscosity-temperature relationship had been established.

A cognitive genetic algorithm for power distribution system planning

Power systems are large scale nonlinear systems with high complexity. Various optimization techniques and expert systems have been used in power system planning. However, there are always some factors that cannot be quantified, modeled, or even expressed by expert systems. Moreover, such planning problems are often large scale optimization problems. Although computational algorithms that are capable of handling large dimensional problems can be used, the computational costs are still very high. To solve these problems, in this paper, investigation is made to explore the efficiency and effectiveness of combining mathematic algorithms with human intelligence. It had been discovered that humans can join the decision making progresses by cognitive feedback. Based on cognitive feedback and genetic algorithm, a new algorithm called cognitive genetic algorithm is presented. This algorithm can clarify and extract human's cognition. As an important application of this cognitive genetic algorithm, a practical decision method for power distribution system planning is proposed. By using this decision method, the optimal results that satisfy human expertise can be obtained and the limitations of human experts can be minimized in the mean time.

GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Background The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions. We were also interested in applying GPNN to a real data analysis in Parkinson's disease. Results We show that GPNN has high power to detect even relatively small genetic effects (2–3% heritability) in simulated data models involving two and three locus interactions. The limits of detection were reached under conditions with very small heritability (

GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions. We were also interested in applying GPNN to a real data analysis in Parkinson's disease. Results: We show that GPNN has high power to detect even relatively small genetic effects (2-3% heritability) in simulated data models involving two and three locus interactions. The limits of detection were reached under conditions with very small heritability (

Power generation investment opportunities evaluation: A comparison between net present value and real options approach

To evaluate an investment project in the competitive electricity market, there are several key factors that affects the project's value: the present value that the project could bring to investor, the possible future course of actions that investor has and the project's management flexibility. The traditional net present value (NPV) criteria has the ability to capture the present value of the project's future cash flow, but it fails to assess the value brought by market uncertainty and management flexibility. By contrast with NPV, the real options approach (ROA) method has the advantage to combining the uncertainty and flexibility in evaluation process. In this paper, a framework for using ROA to evaluate the generation investment opportunity has been proposed. By given a detailed case study, the proposed framework is compared with NPV and showing a different results