Chronological age is a commonly-used time metric, but there may be more relevant time measures in older adulthood. This paper reviews change point modeling, a type of analysis increasingly common in cognitive aging research but with limited application in applied research. Here, we propose a new application of such models for cognitive training studies.
Background: Cultured meat has emerged as a breakthrough technology for the global food industry, which was considered as a potential solution to mitigate serious environmental, sustainability, global public health, and animal welfare concerns in the near future. Although there is promise that cultured meat can supplement or even replace conventional meat, many challenges still need to be resolved in the early stages.
Food exchange between human populations can mitigate the risk arising from variable food production. Networks of exchange vary according to context but tend to fall into a relatively small number of qualitatively different types, including altruism, reciprocity, and resource pooling. This apparent canalization raises the question of whether specific networks of food exchange exhibit features that allow them to persist in the longer term, and we address this question by using a model of food exchange among multiple populations.
Automated Topographic Prominence based quantitative assessment of speech timing in Cerebellar Ataxia
Clinical assessment of speech abnormalities in Cerebellar Ataxia (CA) is subjective and prone to intra- and inter-clinician inconsistencies. This paper presents an automated objective method based on a single syllable repetition task to detect and quantify speech-timing anomalies in ataxic speech. Such a technique is non-invasive, reliable, fast, cost-effective and can be used in the comfort of home without any professional assistance.
In the face of the growing challenges brought about by human activities, effective planning and decision-making in biodiversity and ecosystem conservation, restoration, and sustainable development are urgently needed. Ecological models can play a key role in supporting this need and helping to safeguard the natural assets that underpin human wellbeing and support life on land and below water (United Nations Sustainable Development Goals; SDG 15 & 14).
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia in the elderly. AD initially presents as mild cognitive impairment (MCI); later, as AD progresses, memory and cognition are destroyed, preventing the ability to carry out activities of daily living. The primary care provider may be the first to suspect MCI, and screening tests can help with diagnosis. Development of drugs for cognitive decline in AD has been slow; however new therapies are in the pipeline and discovery of biomarkers make early diagnosis and future treatment of AD hopeful.
Glucose-dependent Insulinotropic polypeptide (GIP) is a peptide hormone of the incretin family. It has growth factor properties and can re-activate energy utilization. In progressive neurodegenerative disorders such as Alzheimer's and Parkinson's disease, energy utilization is much reduced, and GIP has the potential to reverse this. Furthermore, GIP can reduce the inflammation response in the brain and reduce levels of pro-inflammatory cytokines. Tests in animal models of Alzheimer's and Parkinson's disease show good neuroprotective effects.
In the last decade, the consumption trend of organic food has increased dramatically worldwide. Since only a few pesticides are authorized in organic crops, concentrations are expected to range at zero or ultra-trace levels. In this context, the aim of the present study was to investigate the need for an improvement in the residue controls at very low concentrations (
