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Objectives: To assess the ability to predict tooth loss on the basis of clinical and radiographic parameters. Methods: Clinical and radiographic data from a five year prospective cohort were studied to identify cause of progressive tooth loss in older subjects. Results: 363 subjects with a baseline mean age of 67.1 years (S.D. + 4.7, range : 60-75), and 51.4% women were studied including 59.5% never smokers, and 33.0% current smokers. At baseline the subjects had, on average, 22.4 teeth (S.D. + 6.4). Self-assessed tooth loss risk was identified by 16.0 % of subjects while 34% of subjects lost teeth. Tooth loss due to caries was found in 24.7% (178 teeth), periodontitis in 15.4% (133 teeth), peri-apical lesions 5.9% (32 teeth), combined periodontal/peri-apical in 3.4% (18 teeth), and teeth irrational to treat in 7.5% (58 teeth) of the subjects. 122 of the extracted teeth (34%) should have been possible to save but were extracted. At year five severe caries, periodontitis, peri-apical lesions, periodontal/peri-apical, irrational to treat were found in 6.3%, 7.2%, 2.6%, 4.6%, and 1.2% of subjects, respectively. Signs of osteoporosis increased by 11.2 % (Klemetti index). Linear regression analysis failed to include smoking habits as being explanatory. Explanatory factors were researcher prediction of extraction needs, subject self assessment of risk and change in ostoporosis status (r2 = 0.39, ANOVA, F=22.6, p< 0.001). Conclusions: Caries and periodontitis are primary causes for extraction. Progressive osteoporosis is associated with tooth loss. Radiographs, and subjects self-assessment of risk for tooth loss are robust predictors.

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OBJECTIVE: This study aimed to assess the potential cost-effectiveness of testing patients with nephropathies for the I/D polymorphism before starting angiotensin-converting enzyme (ACE) inhibitor therapy, using a 3-year time horizon and a healthcare perspective. METHODS: We used a combination of a decision analysis and Markov modeling technique to evaluate the potential economic value of this pharmacogenetic test by preventing unfavorable treatment in patients with nephropathies. The estimation of the predictive value of the I/D polymorphism is based on a systematic review showing that DD carriers tend to respond well to ACE inhibitors, while II carriers seem not to benefit adequately from this treatment. Data on the ACE inhibitor effectiveness in nephropathy were derived from the REIN (Ramipril Efficacy in Nephropathy) trial. We calculated the number of patients with end-stage renal disease (ESRD) prevented and the differences in the incremental costs and incremental effect expressed as life-years free of ESRD. A probabilistic sensitivity analysis was conducted to determine the robustness of the results. RESULTS: Compared with unselective treatment, testing patients for their ACE genotype could save 12 patients per 1000 from developing ESRD during the 3 years covered by the model. As the mean net cost savings was euro 356,000 per 1000 patient-years, and 9 life-years free of ESRD were gained, selective treatment seems to be dominant. CONCLUSION: The study suggests that genetic testing of the I/D polymorphism in patients with nephropathy before initiating ACE therapy will most likely be cost-effective, even if the risk for II carriers to develop ESRD when treated with ACE inhibitors is only 1.4% higher than for DD carriers. Further studies, however, are required to corroborate the difference in treatment response between ACE genotypes, before genetic testing can be justified in clinical practice.

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Rates of suicide by jumping show large regional differences. Barriers on bridges may prevent suicides but also may lead to a substitution of jumping site or method. The aim of our study was to compare suicide data from regions with and without suicide bridges and to estimate the effects on method and site substitution if bridges were to be secured. In a national survey, suicide data for the years 1990 to 2003 were collected. Regions with high rates of bridge suicides were identified and compared with regions with low rates, and the analysis revealed that only about one third of the individuals would be expected to jump from buildings or other structures if no bridge was available. The results suggest no method substitution for women. For men, a trend of a substituting jumping by overdosing in regions without suicide bridges was found. We conclude that restricted access to suicide bridges will not automatically lead suicidal individuals to choose another jumping site or suicide method. The results support the notion that securing bridges may save lives.

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The numerical solution of the incompressible Navier-Stokes equations offers an alternative to experimental analysis of fluid-structure interaction (FSI). We would save a lot of time and effort and help cut back on costs, if we are able to accurately model systems by these numerical solutions. These advantages are even more obvious when considering huge structures like bridges, high rise buildings or even wind turbine blades with diameters as large as 200 meters. The modeling of such processes, however, involves complex multiphysics problems along with complex geometries. This thesis focuses on a novel vorticity-velocity formulation called the Kinematic Laplacian Equation (KLE) to solve the incompressible Navier-stokes equations for such FSI problems. This scheme allows for the implementation of robust adaptive ordinary differential equations (ODE) time integration schemes, allowing us to tackle each problem as a separate module. The current algortihm for the KLE uses an unstructured quadrilateral mesh, formed by dividing each triangle of an unstructured triangular mesh into three quadrilaterals for spatial discretization. This research deals with determining a suitable measure of mesh quality based on the physics of the problems being tackled. This is followed by exploring methods to improve the quality of quadrilateral elements obtained from the triangles and thereby improving the overall mesh quality. A series of numerical experiments were designed and conducted for this purpose and the results obtained were tested on different geometries with varying degrees of mesh density.

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In the U.S., many electric utility companies are offering demand-side management (DSM) programs to their customers as ways to save money and energy. However, it is challenging to compare these programs between utility companies throughout the U.S. because of the variability of state energy policies. For example, some states in the U.S. have deregulated electricity markets and others do not. In addition, utility companies within a state differ depending on ownership and size. This study examines 12 utilities’ experiences with DSM programs and compares the programs’ annual energy savings results that the selected utilities reported to the Energy Information Administration (EIA). The 2009 EIA data suggests that DSM program effectiveness is not significantly affected by electricity market deregulation or utility ownership. However, DSM programs seem to generally be more effective when administered by utilities located in states with energy savings requirements and DSM program mandates.

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Determining how an exhaust system will perform acoustically before a prototype muffler is built can save the designer both a substantial amount of time and resources. In order to effectively use the simulation tools available it is important to understand what is the most effective tool for the intended purpose of analysis as well as how typical elements in an exhaust system affect muffler performance. An in-depth look at the available tools and their most beneficial uses are presented in this thesis. A full parametric study was conducted using the FEM method for typical muffler elements which was also correlated to experimental results. This thesis lays out the overall ground work on how to accurately predict sound pressure levels in the free field for an exhaust system with the engine properties included. The accuracy of the model is heavily dependent on the correct temperature profile of the model in addition to the accuracy of the source properties. These factors will be discussed in detail and methods for determining them will be presented. The secondary effects of mean flow, which affects both the acoustical wave propagation and the flow noise generation, will be discussed. Effective ways for predicting these secondary effects will be described. Experimental models will be tested on a flow rig that showcases these phenomena.

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This thesis represents the overview of hydrographic surveying and different types of modern and traditional surveying equipment, and data acquisition using the traditional single beam sonar system and a modern fully autonomous underwater vehicle, IVER3. During the thesis, the data sets were collected using the vehicles of the Great Lake Research Center at Michigan Technological University. This thesis also presents how to process and edit the bathymetric data on SonarWiz5. Moreover, the three dimensional models were created after importing the data sets in the same coordinate system. In these interpolated surfaces, the details and excavations can be easily seen on the surface models. In this study, the profiles are plotted on the surface models to compare the sensors and details on the seabed. It is shown that single beam sonar might miss some details, such as pipeline and quick elevation changes on the seabed when we compare to the side scan sonar of IVER3 because the single side scan sonar can acquire better resolution. However, sometimes using single beam sonar can save your project time and money because the single beam sonar is cheaper than side scan sonars and the processing might be easier than the side scan data.

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The microalga Haematococcus pluvialis was cultivated in MES-volvox medium at various light intensities and CO2 concentrations. It was found that CO2 concentrations of 10 and 15%, in combination with high irradiance at initial pH =6.7, accelerate astaxanthin accumulation in H. pluvialis cells but obstruct cell growth. The purpose of this research study was to devise a one-stage process consisting of the simultaneous cultivation of H. pluvialis and astaxanthin production using high light intensity and high CO2 concentration. This could be achieved at 200 µE/m2s and 15% CO2 in growth medium at initial pH = 4.3. Compared to the traditional two-stage H. pluvialis cultivation system, this one-step process can save up to 8-9 days of astaxanthin production time. The astaxanthin content in H. pluvialis cells induced with high light intensity only or with a combination of high light intensity and high CO2 concentration had comparable astaxanthin content; 94 and 97 mg/g dry biomass, respectively. However, it was extremely low in nitrate-free medium at high irradiance alone or combined with high CO2 concentration, with an average value of 4 mg/g dry biomass. Cell density was 40% less in cultures under discontinuous illumination compared to continuous illumination. This process could serve as a microalgal CO2 mitigation system after further understanding of the CO2 fixation ability of H. pluvialis has been gained.

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Mobile Mesh Network based In-Transit Visibility (MMN-ITV) system facilitates global real-time tracking capability for the logistics system. In-transit containers form a multi-hop mesh network to forward the tracking information to the nearby sinks, which further deliver the information to the remote control center via satellite. The fundamental challenge to the MMN-ITV system is the energy constraint of the battery-operated containers. Coupled with the unique mobility pattern, cross-MMN behavior, and the large-spanned area, it is necessary to investigate the energy-efficient communication of the MMN-ITV system thoroughly. First of all, this dissertation models the energy-efficient routing under the unique pattern of the cross-MMN behavior. A new modeling approach, pseudo-dynamic modeling approach, is proposed to measure the energy-efficiency of the routing methods in the presence of the cross-MMN behavior. With this approach, it could be identified that the shortest-path routing and the load-balanced routing is energy-efficient in mobile networks and static networks respectively. For the MMN-ITV system with both mobile and static MMNs, an energy-efficient routing method, energy-threshold routing, is proposed to achieve the best tradeoff between them. Secondly, due to the cross-MMN behavior, neighbor discovery is executed frequently to help the new containers join the MMN, hence, consumes similar amount of energy as that of the data communication. By exploiting the unique pattern of the cross-MMN behavior, this dissertation proposes energy-efficient neighbor discovery wakeup schedules to save up to 60% of the energy for neighbor discovery. Vehicular Ad Hoc Networks (VANETs)-based inter-vehicle communications is by now growingly believed to enhance traffic safety and transportation management with low cost. The end-to-end delay is critical for the time-sensitive safety applications in VANETs, and can be a decisive performance metric for VANETs. This dissertation presents a complete analytical model to evaluate the end-to-end delay against the transmission range and the packet arrival rate. This model illustrates a significant end-to-end delay increase from non-saturated networks to saturated networks. It hence suggests that the distributed power control and admission control protocols for VANETs should aim at improving the real-time capacity (the maximum packet generation rate without causing saturation), instead of the delay itself. Based on the above model, it could be determined that adopting uniform transmission range for every vehicle may hinder the delay performance improvement, since it does not allow the coexistence of the short path length and the low interference. Clusters are proposed to configure non-uniform transmission range for the vehicles. Analysis and simulation confirm that such configuration can enhance the real-time capacity. In addition, it provides an improved trade off between the end-to-end delay and the network capacity. A distributed clustering protocol with minimum message overhead is proposed, which achieves low convergence time.

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Planning in realistic domains typically involves reasoning under uncertainty, operating under time and resource constraints, and finding the optimal subset of goals to work on. Creating optimal plans that consider all of these features is a computationally complex, challenging problem. This dissertation develops an AO* search based planner named CPOAO* (Concurrent, Probabilistic, Over-subscription AO*) which incorporates durative actions, time and resource constraints, concurrent execution, over-subscribed goals, and probabilistic actions. To handle concurrent actions, action combinations rather than individual actions are taken as plan steps. Plan optimization is explored by adding two novel aspects to plans. First, parallel steps that serve the same goal are used to increase the plan’s probability of success. Traditionally, only parallel steps that serve different goals are used to reduce plan execution time. Second, actions that are executing but are no longer useful can be terminated to save resources and time. Conventional planners assume that all actions that were started will be carried out to completion. To reduce the size of the search space, several domain independent heuristic functions and pruning techniques were developed. The key ideas are to exploit dominance relations for candidate action sets and to develop relaxed planning graphs to estimate the expected rewards of states. This thesis contributes (1) an AO* based planner to generate parallel plans, (2) domain independent heuristics to increase planner efficiency, and (3) the ability to execute redundant actions and to terminate useless actions to increase plan efficiency.

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Two of the indicators of the UN Millennium Development Goals ensuring environmental sustainability are energy use and per capita carbon dioxide emissions. The increasing urbanization and increasing world population may require increased energy use in order to transport enough safe drinking water to communities. In addition, the increase in water use would result in increased energy consumption, thereby resulting in increased green-house gas emissions that promote global climate change. The study of multiple Municipal Drinking Water Distribution Systems (MDWDSs) that relates various MDWDS aspects--system components and properties--to energy use is strongly desirable. The understanding of the relationship between system aspects and energy use aids in energy-efficient design. In this study, components of a MDWDS, and/or the characteristics associated with the component are termed as MDWDS aspects (hereafter--system aspects). There are many aspects of MDWDSs that affect the energy usage. Three system aspects (1) system-wide water demand, (2) storage tank parameters, and (3) pumping stations were analyzed in this study. The study involved seven MDWDSs to understand the relationship between the above-mentioned system aspects in relation with energy use. A MDWDSs model, EPANET 2.0, was utilized to analyze the seven systems. Six of the systems were real and one was a hypothetical system. The study presented here is unique in its statistical approach using seven municipal water distribution systems. The first system aspect studied was system-wide water demand. The analysis involved analyzing seven systems for the variation of water demand and its impact on energy use. To quantify the effects of water use reduction on energy use in a municipal water distribution system, the seven systems were modeled and the energy usage quantified for various amounts of water conservation. It was found that the effect of water conservation on energy use was linear for all seven systems and that all the average values of all the systems' energy use plotted on the same line with a high R 2 value. From this relationship, it can be ascertained that a 20% reduction in water demand results in approximately a 13% savings in energy use for all seven systems analyzed. This figure might hold true for many similar systems that are dominated by pumping and not gravity driven. The second system aspect analyzed was storage tank(s) parameters. Various tank parameters: (1) tank maximum water levels, (2) tank elevation, and (3) tank diameter were considered in this part of the study. MDWDSs use a significant amount of electrical energy for the pumping of water from low elevations (usually a source) to higher ones (usually storage tanks). The use of electrical energy has an effect on pollution emissions and, therefore, potential global climate change as well. Various values of these tank parameters were modeled on seven MDWDSs of various sizes using a network solver and the energy usage recorded. It was found that when averaged over all seven analyzed systems (1) the reduction of maximum tank water level by 50% results in a 2% energy reduction, (2) energy use for a change in tank elevation is system specific, and (2) a reduction of tank diameter of 50% results in approximately a 7% energy savings. The third system aspect analyzed in this study was pumping station parameters. A pumping station consists of one or more pumps. The seven systems were analyzed to understand the effect of the variation of pump horsepower and the number of booster stations on energy use. It was found that adding booster stations could save energy depending upon the system characteristics. For systems with flat topography, a single main pumping station was found to use less energy. In systems with a higher-elevation neighborhood, however, one or more booster pumps with a reduced main pumping station capacity used less energy. The energy savings for the seven systems was dependent on the number of boosters and ranged from 5% to 66% for the analyzed five systems with higher elevation neighborhoods (S3, S4, S5, S6, and S7). No energy savings was realized for the remaining two flat topography systems, S1, and S2. The present study analyzed and established the relationship between various system aspects and energy use in seven MDWDSs. This aids in estimating the amount of energy savings in MDWDSs. This energy savings would ultimately help reduce Greenhouse gases (GHGs) emissions including per capita CO 2 emissions thereby potentially lowering the global climate change effect. This will in turn contribute to meeting the MDG of ensuring environmental sustainability.

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Pat Williams emerged from the Mining City of Butte, Montana with a sense of grassroots, people-oriented politics. His inherent belief in the power of ordinary citizens carried him through the Montana Legislature and into Congress for a record-setting period. The accomplishments of his long career partially obscured his innate progressive and populist instinct that is reflective of the period of “in the Crucible of Change.” This film addresses Pat’s early years when his progressive instincts and activities resulted in pushback from the giant Anaconda Company which had held Montana hostage for 75 years. Pat is joined for part of the film by former campaign staffer, and now prominent media consultant, Michael Fenenbock for reflections on Pat’s 1978 “Door-to-Door to Congress” campaign, which demonstrated the power of his belief in the people on the other side of the doors. Pat Williams (b. 1937) rose from teaching grade school in his hometown of Butte, MT, to serving for the longest number of consecutive terms (9 terms, 18 years) in the US House of Representatives of anyone in Montana history. Pat was a member of the National Guard and attended UM in Missoula and William Jewel College, graduating from the University of Denver. Pat also served in the Montana legislature for 2 terms (1966 & 1968 elections). In 1969. Pat helped his legislative seat-mate John Melcher get elected as Montana’s Eastern District Congressman in the Special Election that June. Pat went to Washington DC as Melcher’s Executive Assistant. Upon returning to Montana, Pat headed up the Montana offices of the innovative Mountain Plains Family Education Program. In 1974, Pat ran unsuccessfully for Montana’s Western District Congressional seat in a three-way race with former Congressman Arnold Olsen and state Legislator Max Baucus. After the drafting and passage of the 1972 Montana Constitution, Pat was named a member of Montana’s first-ever Reapportionment Commission. In 1978 he successfully ran for Congress, conducting a massive grass-roots door-to-door campaign of 1½ years, reaching 50,000 doors. In a hotly contested 6-way Democratic primary, Pat won going away and also handily won the general election. Pat served in Congress from January, 1979 until January of 1997, 14 years representing the Western District and 4 years representing the entire state. Upon his retirement from Congress, in 1997 Williams returned to Montana where has been an instructor at the University of Montana and Senior Fellow and Regional Policy Associate at the Center for the Rocky Mountain West. He is a former member of the Montana Board of Regents and serves on a number of national education-related boards. In Congress Pat was a Deputy Whip of the U.S. House of Representatives and sat on committees on: Budget, Natural Resources, Education and Labor, and Agriculture. Pat’s leadership helped pass trailblazing legislation to assist hard-working middle-class families and ensure opportunities for every child. Pat’s fingerprints are on many pieces of important legislation, including the College Middle Income Assistance Act, the Family and Medical Leave Act, the Toddlers and Childhood Disability Act, the Library Services and Construction Act, and the Museum Services Act. Pat successfully sponsored the Lee Metcalf Wilderness Area and the Rattlesnake Wilderness area, helped save the Bob Marshall Wilderness from oil and gas exploration, and helped ban geothermal energy drilling near the borders of Yellowstone National Park. As Chairman of The Post-Secondary Education Committee, he protected the National Endowment for the Arts from elimination, a remarkable undertaking during a very trying time for the Agency. Pat worked tirelessly with Tribal College Leaders to build Montana’s seven Tribal Colleges. He was also responsible for the legislation that created The American Conservation Corps, which became the Corporation for National Service, giving thousands of America’s young people a chance to serve their country and pursue higher education. Pat lives in Missoula with his wife Carol Griffith Williams, former Montana Senate Majority Leader. They have three children and five grandchildren.

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Abstract Montana's Lee Metcalf was an extraordinary Montana leader with an unbelievable record of accomplishment fighting for the little people against the forces of economic and political power. The public memory is so short that this film will serve to help reacquaint Lee & Donna Metcalf to most of those who were around during their time. But it will also provide an opportunity for new generations to receive a perspective of an important leader from an important time. (Language from YouTube version of the film, written and provided by Executive Producer Evan Barrett) Lee Warren Metcalf (January 28, 1911 – January 12, 1978) was an American lawyer, judge, and politician. A member of the Democratic Party, he served as a U.S. Representative (1953–1961) and a U.S. Senator (1961–1978) from Montana. He was permanent acting President pro tempore of the Senate, the only person to hold that position, from 1963 until his death in 1978. U.S. House of Representatives During his tenure in the House, Metcalf served on the Education and Labor Committee (1953–1959), Interior and Insular Affairs Committee (1955–1959), Select Astronautics and Space Exploration Committee (1958), and Ways and Means Committee (1959–1960). He became known as one of Congress's "Young Turks" who promoted liberal domestic social legislation and reform of congressional procedures. He introduced legislation to provide health care to the elderly ten years before the creation of Medicare. He earned the nickname "Mr. Education" after sponsoring a comprehensive bill providing for federal aid to education. He also voted against legislation that would have raised grazing permits on federal lands, and led the opposition to a bill that would have swapped forested public lands for cutover private lands. He was elected chairman of the Democratic Study Group in 1959. U. S. Senate Regarded as "a pioneer of the conservation movement", Metcalf worked to protect the natural environment and regulate utilities. He helped pass the Wilderness Act of 1964, and supported the creation of the Great Bear Wilderness and the Absaroka-Beartooth Wilderness. In 1962, he introduced a "Save Our Streams" bill to preserve natural recreation facilities and protect fish and wildlife from being destroyed by highway construction. He was a longtime member of the Migratory Bird Conservation Commission. He was also active on the issue of education. He was a leading supporter of the Elementary and Secondary Education Act, the effort to extend the G.I. Bill's educational benefits to a new generation of veterans, and the development of legislation to improve federally-aided vocational education.[1] The Peace Corps was established under leadership of Metcalf and Senator Mansfield. In 1983, by act of Congress, the Lee Metcalf Wilderness area was created in southwestern Montana in honor of the late Congressman. The Great Bear Wilderness and Absaroka-Beartooth Wilderness areas were also created as a result of Metcalf's efforts in Congress, in addition to the Lee Metcalf National Wildlife Refuge in Montana. Metcalf was ranked number 15 on a list of the 100 Most Influential Montanans of the Century by the Missoulian newspaper. This text is courtesy of Wikipedia®, a registered trademark of the Wikimedia Foundation, Inc., a non-profit organization, and is available under the Creative Commons Attribution-ShareAlike License.

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In dem vorliegenden Beitrag wird ein Ansatz zur Integration von Energiekosten in bestehende Fertigungssteuerungsverfahren vorgestellt. Das entwickelte Verfahren basiert auf dem Ansatz der Belastungsorientierten Auftragsfreigabe (BOA) und berücksichtigt schwankende Strompreise aufgrund der zunehmenden Einspeisung regenerativer Energien in das Stromnetz. Die Weiterentwicklung ermöglicht besonders kleinen und mittleren Unternehmen (KMU) die Einsparung von Energiekosten durch organisatorische Maßnahmen der Fertigungssteuerung ohne kapitalintensive Investitionen.

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This paper evaluates the performance of the most popular power saving mechanisms defined in the IEEE 802.11 standard, namely the Power Save Mode (Legacy-PSM) and the Unscheduled Automatic Power Save Delivery (U-APSD). The assessment comprises a detailed study concerning energy efficiency and capability to guarantee the required Quality of Service (QoS) for a certain application. The results, obtained in the OMNeT++ simulator, showed that U-APSD is more energy efficient than Legacy-PSM without compromising the end-to- end delay. Both U-APSD and Legacy-PSM revealed capability to guarantee the application QoS requirements in all the studied scenarios. However, unlike U-APSD, when Legacy-PSM is used in the presence of QoS demanding applications, all the stations connected to the network through the same access point will consume noticeable additional energy.