Implementation of a "Self-Sufficient Ageing" Policy and Possible Challenges: Case of Turkey

The policies of socioeconomic protection of older adults in most parts of the world are being redesigned in the scope of value-added targets, such as active ageing, successful ageing, or creative ageing. The main purpose here is, of course, enabling older adults self-sufficient and beneficial both for themselves and their social environment, instead of being simply the passive beneficiaries of the public support mechanisms. Turkey has a population which is still young but ageing very rapidly and will reach to the same point as Europe today in a relatively much shorter time. However, the country still seems to be away from conducting systematic and holistic measures, except for a few ineffective strategy papers and legal regulations. Therefore, Turkey must immediately design a new policy agenda in conformity with its traditional and historical advantages. Revitalizing the intergenerational solidarity bonds, in this regard, may be the best cost-effective solution to complement formal measures in the provision of social protection and in the process of active ageing. However, this traditional protection net is under attack of increasingly transforming socioeconomic conditions. Consequently, as one of the most rapidly ageing countries in the world, Turkey should immediately stimulate studies and debates over a healthy, functional, and effective ageing period and caring issues. Otherwise, governments will be blindsided by the socioeconomic, psychological, cultural, and physiological problems related to the ageing process. In the light of these facts, the main purpose of this study is to discuss policy recommendations to create a self-sufficient ageing period for older adults in the context of Turkish case

Implementation of a “Self-Sufficient Ageing” Policy and Possible Challenges: Case of Turkey

The policies of socioeconomic protection of older adults in most parts of the world are being redesigned in the scope of value-added targets, such as active ageing, successful ageing, or creative ageing. The main purpose here is, of course, enabling older adults self-sufficient and beneficial both for themselves and their social environment, instead of being simply the passive beneficiaries of the public support mechanisms. Turkey has a population which is still young but ageing very rapidly and will reach to the same point as Europe today in a relatively much shorter time. However, the country still seems to be away from conducting systematic and holistic measures, except for a few ineffective strategy papers and legal regulations. Therefore, Turkey must immediately design a new policy agenda in conformity with its traditional and historical advantages. Revitalizing the intergenerational solidarity bonds, in this regard, may be the best cost-effective solution to complement formal measures in the provision of social protection and in the process of active ageing. However, this traditional protection net is under attack of increasingly transforming socioeconomic conditions. Consequently, as one of the most rapidly ageing countries in the world, Turkey should immediately stimulate studies and debates over a healthy, functional, and effective ageing period and caring issues. Otherwise, governments will be blindsided by the socioeconomic, psychological, cultural, and physiological problems related to the ageing process. In the light of these facts, the main purpose of this study is to discuss policy recommendations to create a self-sufficient ageing period for older adults in the context of Turkish case

Improving reproducibility in synchrotron tomography using implementation-adapted filters

For reconstructing large tomographic datasets fast, filtered backprojection-type or Fourier-based algorithms are still the method of choice, as they have been for decades. These robust and computationally efficient algorithms have been integrated in a broad range of software packages. Despite the fact that the underlying mathematical formulas used for image reconstruction are unambiguous, variations in discretisation and interpolation result in quantitative differences between reconstructed images obtained from different software. This hinders reproducibility of experimental results. In this paper, we propose a way to reduce such differences by optimising the filter used in analytical algorithms. These filters can be computed using a wrapper routine around a black-box implementation of a reconstruction algorithm, and lead to quantitatively similar reconstructions. We demonstrate use cases for our approach by computing implementation-adapted filters for several open-source implementations and applying it to simulated phantoms and real-world data acquired at the synchrotron. Our contribution to a reproducible reconstruction step forms a building block towards a fully reproducible synchrotron tomography data processing pipeline.Comment: 30 pages, 7 figure

3D reconstruction of magnetization from dichroic soft X-ray transmission tomography

The development of magnetic nanostructures for applications in spintronics requires methods capable of visualizing their magnetization. Soft X‐ray magnetic imaging combined with circular magnetic dichroism allows nanostructures up to 100–300 nm in thickness to be probed with resolutions of 20–40 nm. Here a new iterative tomographic reconstruction method to extract the three‐dimensional magnetization configuration from tomographic projections is presented. The vector field is reconstructed by using a modified algebraic reconstruction approach based on solving a set of linear equations in an iterative manner. The application of this method is illustrated with two examples (magnetic nano‐disc and micro‐square heterostructure) along with comparison of error in reconstructions, and convergence of the algorithm

Experimental/clinical evaluation of EIT image reconstruction with ℓ1 data and image norms

Electrical impedance tomography (EIT) image reconstruction is ill-posed, and the spatial resolution of reconstructed images is low due to the diffuse propagation of current and limited number of independent measurements. Generally, image reconstruction is formulated using a regularized scheme in which ℓ2 norms are preferred for both the data misfit and image prior terms due to computational convenience which result in smooth solutions. However, recent work on a Primal Dual-Interior Point Method (PDIPM) framework showed its effectiveness in dealing with the minimization problem. ℓ1 norms on data and regularization terms in EIT image reconstruction address both problems of reconstruction with sharp edges and dealing with measurement errors. We aim for a clinical and experimental evaluation of the PDIPM method by selecting scenarios (human lung and dog breathing) with known electrode errors, which require a rigorous regularization and cause the failure of reconstructions with ℓ2 norm. Results demonstrate the applicability of PDIPM algorithms, especially ℓ1 data and regularization norms for clinical applications of EIT showing that ℓ1 solution is not only more robust to measurement errors in clinical setting, but also provides high contrast resolution on organ boundaries

An experimental clinical evaluation of EIT imaging with ℓ1 data and image norms

Electrical impedance tomography (EIT) produces an image of internal conductivity distributions in a body from current injection and electrical measurements at surface electrodes. Typically, image reconstruction is formulated using regularized schemes in which ℓ2-norms are used for both data misfit and image prior terms. Such a formulation is computationally convenient, but favours smooth conductivity solutions and is sensitive to outliers. Recent studies highlighted the potential of ℓ1-norm and provided the mathematical basis to improve image quality and robustness of the images to data outliers. In this paper, we (i) extended a primal-dual interior point method (PDIPM) algorithm to 2.5D EIT image reconstruction to solve ℓ1 and mixed ℓ1/ ℓ2 formulations efficiently, (ii) evaluated the formulation on clinical and experimental data, and (iii) developed a practical strategy to select hyperparameters using the L-curve which requires minimum user-dependence. The PDIPM algorithm was evaluated using clinical and experimental scenarios on human lung and dog breathing with known electrode errors, which requires a rigorous regularization and causes the failure of reconstruction with an ℓ2-norm solution. The results showed that an ℓ1 solution is not only more robust to una