Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions.

Unlabelled: Mixtures of multivariate leptokurtic-normal distributions have been recently introduced in the clustering literature based on mixtures of elliptical heavy-tailed distributions. They have the advantage of having parameters directly related to the moments of practical interest. We derive two estimation procedures for these mixtures.

e-VITA study protocol: EU-Japan virtual coach for smart aging.

Aim: The aim of this study is to report a trial protocol for assessing the improvement of older adults' well-being, promoting active and healthy aging, and reducing the risks of social exclusion, using a virtual coach.

Background: Increased longevity brings with it reduced autonomy and independence, and it is therefore necessary to act with preventive measures that can promote active and healthy aging. With the development of technology, new tools have appeared, including virtual coaches, which can enable people to lead a healthy lifestyle by identifying individual needs and goals and providing personalized recommendations and advice.

Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives.

Background: The integration of stakeholders is crucial in developing smart living technologies to support the autonomy of elderly populations. Despite the clear benefits of these technologies, there remains a significant gap in comprehensive research.

Methods: This study presents the viewpoints of 19 stakeholders from Europe and Japan, focusing on the sustainability of smart living solutions for Active and Healthy Ageing (AHA).

Intrinsic Capacity and Active and Healthy Aging Domains Supported by Personalized Digital Coaching: Survey Study Among Geriatricians in Europe and Japan on eHealth Opportunities for Older Adults.

Background: The worldwide aging trend requires conceptually new prevention, care, and innovative living solutions to support human-based care using smart technology, and this concerns the whole world. Enabling access to active and healthy aging through personalized digital coaching services like physical activity coaching, cognitive training, emotional well-being, and social connection for older adults in real life could offer valuable advantages to both individuals and societies. A starting point might be the analysis of the perspectives of different professionals (eg, geriatricians) on such technologies.

User Perceptions and Needs Analysis of a Virtual Coach for Active and Healthy Ageing-An International Qualitative Study.

Virtual coaching systems show great potential for meeting the challenges of demographic change. However, the proportion of older users in the field of digital technologies is far behind that of younger people. As part of the e-VITA project, semi-structured interviews were conducted in Japan, France, Italy and Germany with 58 people aged 65 and over, and the content was analyzed with the aim of obtaining information about how older adults organize their everyday lives, also with regard to the COVID-19 pandemic, how they deal with their health, what role digital technologies play in the lives of the interviewees and why they oppose progressive digitization.

Author Correction: Nrf2 contributes to the weight gain of mice during space travel.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Sex-Dependent Effects of the APOE ɛ4 Allele on Behavioral Traits and White Matter Structures in Young Adults.

The APOE ɛ4 allele is associated with a risk of Alzheimer's disease in the elderly, with the association being pronounced in females. Conversely, findings of the effects of the APOE ɛ4 allele in young adults are mixed. Here, we investigated the sex-genotype interaction effects of the APOE ɛ4 allele on cognitive functions as well as brain structures among 1258 young adults.

Nrf2 contributes to the weight gain of mice during space travel.

Space flight produces an extreme environment with unique stressors, but little is known about how our body responds to these stresses. While there are many intractable limitations for in-flight space research, some can be overcome by utilizing gene knockout-disease model mice. Here, we report how deletion of Nrf2, a master regulator of stress defense pathways, affects the health of mice transported for a stay in the International Space Station (ISS).

Impact of Cystic Fibrosis on Unaffected Siblings: A Systematic Review.

Objective: To conduct a systematic review of the evidence to determine the impact of cystic fibrosis (CF) on unaffected siblings.

Study Design: We searched MEDLINE (Ovid interface, from 1946); EMBASE (Ovid interface, from 1946); CINAHL (EBSCO interface); Academic Search Complete (EBSCO interface); Psych Info (EBSCO interface); ProQuest Theses' and Dissertation's (ProQuest); British Index of Nursing (ProQuest); Web of Science (ISI, Web of Knowledge portal); PubMed (PubMed NCBI); BASE (Bielefeld Academic Research Engine); Scopus; EThOS (e-theses online service); Open Grey; and Cochrane Library. Contents pages of the Journal of Cystic Fibrosis, June 2002-April 2017 were hand searched to identify further eligible studies.

Mixtures of multivariate power exponential distributions.

An expanded family of mixtures of multivariate power exponential distributions is introduced. While fitting heavy-tails and skewness have received much attention in the model-based clustering literature recently, we investigate the use of a distribution that can deal with both varying tail-weight and peakedness of data. A family of parsimonious models is proposed using an eigen-decomposition of the scale matrix.

Mixtures of Shifted AsymmetricLaplace Distributions.

A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classification. A variant of the EM algorithm is developed for parameter estimation by exploiting the relationship with the generalized inverse Gaussian distribution. This approach is mathematically elegant and relatively computationally straightforward.

Model-based learning using a mixture of mixtures of Gaussian and uniform distributions.

We introduce a mixture model whereby each mixture component is itself a mixture of a multivariate Gaussian distribution and a multivariate uniform distribution. Although this model could be used for model-based clustering (model-based unsupervised learning) or model-based classification (model-based semi-supervised learning), we focus on the more general model-based classification framework. In this setting, we fit our mixture models to data where some of the observations have known group memberships and the goal is to predict the memberships of observations with unknown labels.

Optimal two-stage reliability studies.

The intraclass correlation is often used to assess the reliability of a measurement system. There is a considerable literature devoted to optimizing the standard assessment plan in which a number of subjects are measured repeatedly. We propose a two-stage investigation, here called a leveraged plan (LP), where in Stage I, we measure a number of subjects once.