This book chapter advances SDG #3 and #10 by stressing that a population health approach and a focus on promoting equity in health and access to care are critical to reducing the risk of AD and other dementias.
Elsevier,
Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by presenting that (1) some of these depression scales do not correlate, suggesting that they assess different aspects of depression; (2) reports of depression in dementia vary based on depression in dementia scale used; and (3) severe memory impairment may impact the ability to assess depression in the patients using self-reports.
This book chapter advances SDG #3 and #10 by reviewing the extant literature on autophagy in AD and covers recent progress on the molecular mechanisms of NAD+-dependent mitophagy/autophagy regulation and mechanisms underlying the anti-AD potential of NAD+. Further studies to define the NAD+-mitophagy/autophagy axis may shed light on novel therapeutics to treat AD and potentially provide insights into other neurodegenerative diseases.
Elsevier,
Assessments, Treatments and Modeling in Aging and Neurological Disease: The Neuroscience of Aging, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by reviewing the use of nonhuman primates as a viable model of aging and neurodegeneration research.
This book chapter advances SDG #3 and #10 by reviewing deep brain stimulation as a treatment for AD patients, reviewing the recent studies and issues associated with the treatment.
This book chapter advances SDG #3 and #10 by reviewing the observed epidemiological links between normal and abnormal diurnal and seasonal rhythmicity, cognitive impairment, and ADRD. Then reviewing normal diurnal and seasonal rhythms of brain epigenetic modification and gene expression in model organisms. Finally, reviewing evidence for diurnal and seasonal rhythms of epigenetic modification and gene expression the human brain in aging, Alzheimer's disease, and other brain disorders.
Water harvesting techniques have shown promising outcomes in mitigating risks, increasing yields and delivering positive influences on other ecosystems. A field study was conducted in Northern Jordan to assess the influence of combined in-situ water harvesting techniques, micro-catchment and mulching on soil moisture content, plant morphology, gas exchange [photosynthesis (Pn), transpiration (E), and stomatal conductance (gs)] and midday stem water potential (Ψsmd) of young pistachio (Pistacia vera cv. Ashori) trees.
This study analyzes the effects of a local water market formation on the efficiency of groundwater use productivity. These results demonstrate the role of a market-based groundwater allocation approach under water scarcity conditions.
Elsevier, Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
In the next 30 years, Alzheimer’s disease cases are predicted to drastically increase. Consequently, there is a critical need for research that can counteract the increasing number of Alzheimer’s disease patients. However, current methods of Alzheimer’s disease research have significant limitations. For example, Alzheimer’s disease research is often restricted by resource, temporal, and recruitment barriers (e.g., participant dropout). Unlike standard research, big data analysis is excellent at investigating complex long-term phenomena such as Alzheimer’s disease.
Buildings consume vast amounts of energy and pollute the environment in various ways. Façade is a part of building's architecture that can play a significant role in reducing energy consumption, as well as alleviating its negative environmental effects. Although using smart materials in buildings' facades can help dramatically to attain the mentioned goals, very limited studies have been conducted regarding the mentioned issues. Moreover, existing studies have investigated only a few number of smart materials simultaneously.
