The Impact of Community Based Organizations: The Age-Friendly Effect

Introduction: In the United States, the population aged 65 and older number 49.2 million representing 15.2% of the population in 2016 (1). By 2050, it is anticipated that Americans aged 65 or older will number nearly 89 million people making up 22% of the population, nearly double the number of older adults in the United States in 2013 (9). In April 2015, Southwestern Pennsylvania Partnership for Aging (SWPPA) developed a project proposal (“Create an Age-Inclusive Ecosystem in Pittsburgh”) in response to the area’s aging population and the large number of people with disabilities living in the region. Methods: An evaluation was completed in Spring and Summer 2019 by a graduate student evaluator in the Graduate School of Public Health at the University of Pittsburgh and a faculty member in the Evaluation Institute at the University of Pittsburgh’s Graduate School of Public Health, based on the quantitative data collected from participant organizations and process measures included in the Partner Tracking Tool. The tracking tool was created by Age-Friendly Greater Pittsburgh (AFGP) to track progress made on the 30 action items created in their action plan. Results: Program Year 2 of the Age Friendly Greater Pittsburgh Initiative has maintained momentum since Year 1. AFGP identified that during Year 2 they planned to continue implementing action items from Year 1 while also launching several new action items. At the end of July 2019, AFGP had begun implementing 26 of the 30 action items. The result of the work over the first two years of implementation should certainly be considered significant. However, there are still action items that remain untouched or at the nascent stages. To maintain the progress and continue growth it will be crucial that continuing funding must be obtained. The interviews revealed themes surrounding positive communication among work groups, increased media attention surrounding Age-Friendly, and positive support from Age-Friendly leaders. To maintain the progress and continue growth it will be crucial that continuing funding must be obtained. Statement of Public Health: As public health professionals, it is our duty to promote the health of all individuals, especially those within the aging population. Conclusion: With the definite and continuous increase of older adults in our nation, it is crucial that we grow and improve to make living life more comfortable for people of all ages. This Age-Friendly model provides a checklist for cities and communities to follow to make their neighborhoods more inclusive for all ages

Chaotic vibrations in a regenerative cutting process

We have analyzed vibrations generated in an orthogonal cutting process. Using a simple one degree of freedom model of the regenerative cutting we have observed the complex behaviour of the system. In presence of a shaped cutting surface, the nonlinear interaction between the tool and a worpiece leads to chatter vibrations of periodic, quasi-periodic or chaotic type depending on system parameters. To describe the profile of the surface machined by the first pass we used a harmonic function. We analysed the impact phenomenon between the tool and a workpiece after their contact loss.Comment: 7 pages, 3 figure

Surface Quality of a Work Material Influence on Vibrations in a Cutting Process

The problem of stability in the machining processes is an important task. It is strictly connected with the final quality of a product. In this paper we consider vibrations of a tool-workpiece system in a straight turning process induced by random disturbances and their effect on a product surface. Basing on experimentally obtained system parameters we have done the simulations using one degree of freedom model. The noise has been introduced to the model by the Langevin equation. We have also analyzed the product surface shape and its dependence on the level of noise.Comment: 12 pages, PDF of figures can be obtained from http://archimedes.pol.lublin.pl/~raf/graf/fpic.pd

An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152

A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the feed rate and cutting edge geometry. Applying this methodology, accurate predictions could be obtained when using complex shape inserts with different micro-geometries or with feed rates lower than the cutting edge radius. These predictions showed an improvement compared to those of the strategy of keeping constant the specific edge coefficient. Furthermore, an orthogonal to oblique transformation technique was applied to predict the cutting forces in face and side milling. The results showed good agreement with experimental results

Surface roughness variation of thin wall milling, related to modal interactions

High-speed milling operations of thin walls are often limited by the so-called regenerative effect that causes poor surface finish. The aim of this paper is to examine the link between chatter instability and surface roughness evolution for thin wall milling. Firstly, the linear stability lobes theory for the thin wall milling optimisation was used. Then, in order to consider the modal interactions, an explicit numerical model was developed. The resulting nonlinear system of delay differential equations is solved by numerical integration. The model takes into account the coupling mode, the modal shape, the fact that the tool may leave the cut and the ploughing effect. Dedicated experiments are carried out in order to confirm this modelling. This paper presents surface roughness and chatter frequency measurements. The stability lobes are validated by thin wall milling. Finally, the modal behaviour and the mode coupling give a new interpretation of the complex surface finish deterioration often observed during thin wall milling

1H NMR relaxometry in the TGBA* and TGBC* phases

Recent results obtained by 1H NMR relaxometry of liquid crystals having twist grain boundary (TGB) phases are here reviewed. In particular, three chiral rod-like lactate derivative mesogens were investigated. In the isotropic phase, three-exponential magnetization decay was observed in all cases and the three distinct spin-lattice relaxation times (T1) were assigned to three specific molecular groups of these molecules. In the TGBA* and TGBC* phases the magnetization decay is mono-exponential and the main features of the 1H NMR dispersion curves analyzed through a global target fitting procedure in terms of specific molecular and collective dynamics are discussed

Ultrafast photoinduced phase separation dynamics in Pr(0.6)Ca(0.4)MnO(3) thin films

The time resolved Magnetooptical Kerr effect in the substrate-strain-induced insulating ferromagnetic phase in (Pr$_{0.6}$Ca$_{0.4}$)MnO$_3$ thin films on two different substrates was measured in a magnetic field up to 1.1T. The photoinduced Kerr rotation and ellipticity show remarkably different magnetic-field dependence. From the comparison of the magnetic field dependencies of the photoinduced and static Kerr rotation and ellipticity we conclude that a transient ferromagnetic metallic phase, embedded within the insulating ferromagnetic phase, is created upon the photoexcitation at low temperatures. A comparison of temporal dependence of the photoinduced Kerr signals with the photoinduced reflectivity indicates the change of the fractions of the phases takes place on a timescale of ten picoseconds independent of the substrate.Comment: accepted in EP

An Iterative Procedure for the Estimation of Drift and Diffusion Coefficients of Langevin Processes

A general method is proposed which allows one to estimate drift and diffusion coefficients of a stochastic process governed by a Langevin equation. It extends a previously devised approach [R. Friedrich et al., Physics Letters A 271, 217 (2000)], which requires sufficiently high sampling rates. The analysis is based on an iterative procedure minimizing the Kullback-Leibler distance between measured and estimated two time joint probability distributions of the process.Comment: 4 pages, 5 figure