Results 191 to 200 of about 678,211 (344)

Pension reform: key issues illustrated with an actuarial model [PDF]

The paper examines pension reforms under ageing. With stylised facts, ageing is traced to low fertility and increasing longevity. Given these persistent factors, pension systems must be reformed to avoid an unfair burden being left for future generations.
Heikki Oksanen
core  

K‐CC‐MoCo: A Fast k‐Space‐Based Respiratory Motion Correction for Highly Accelerated First‐Pass Perfusion Cardiovascular MR

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose First‐pass perfusion cardiovascular MR (FPP‐CMR) enables the non‐invasive diagnosis of microcirculation and coronary artery disease. In free‐breathing FPP‐CMR, motion correction is usually performed in the image domain, requiring an initial reconstruction.
Elisa Moya‐Sáez, Rosa‐María Menchón‐Lara, Javier Sánchez‐González, Catarina N. Carvalho, Andreia S. Gaspar, Carlos Real, Carlos Galán‐Arriola, Rita G. Nunes, Borja Ibanez, Teresa M. Correia, Carlos Alberola‐López   +10 more
wiley   +1 more source

Pathways into and out of temporary disability retirement: an 8-year sequence analysis study in Finland. [PDF]

Eur J Public Health
Polvinen A, Riekhoff AJ, Perhoniemi R.
europepmc   +1 more source

Pension reform in a rapidly ageing country: the case of Ukraine [PDF]

Ukraine has a rapidly ageing and declining population. A dynamic forward-looking Computable General Equilibrium(CGE)model with an explicitly modelled Pay-As-You-­Go pension scheme is constructed to perform simulations of different pension reform ...
Katerina Lisenkova
core  

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source

Subjective age and retirement intentions as predictors of retirement status among 50+ adults. [PDF]

Front Psychol
Kairys A, Zamalijeva O, Sadauskaitė R, Guðmundsson HS, Nyberg A, Reine I.   +5 more
europepmc   +1 more source

Lessons for Asian Countries from Pension Reforms in Chile [PDF]

Chile's 1981 reform revolutionized pension design and created a system that was lauded and emulated widely. The main feature of the system was the creation of state-mandated, privately managed individual pension capitalization accounts based on ...
Asher, Mukul G., Vasudevan, Deepa
core  

Linking Environmental Health and Civic Health: An Analysis of Air Pollution and Charitable Giving

Nonprofit Management and Leadership, EarlyView.
ABSTRACT This study examines the effect of air pollution on charitable giving. We suggest that the burdens associated with poor air quality are associated with a dampening of civic and philanthropic engagement. Analyzing 12 years of county‐level data from the United States with fixed‐effects OLS and instrumental variables regressions, we identify a ...
Gregory D. Saxton, Michelle Benson, Chao Guo, Daniel G. Neely, Tahmina Ahmed, Mohammad Maruf Hasan, Shujie Zhang   +6 more
wiley   +1 more source

Developing a Service Quality Standard for Collaborative Integrated Healthcare Institutions in Guangdong, China: A Delphi-Analytic Hierarchy Process Study. [PDF]

Risk Manag Healthc Policy
Ai X, Wang L, Huang R, Zhang W, Huang J.
europepmc   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source