Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …

Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that affects memory,
thinking, behavior, and other cognitive functions. Although there is no cure, detecting AD …

Alzheimer's disease (AD), the most common cause of dementia, has limited treatment
options. Emerging disease modifying therapies are targeted at clearing amyloid-β (Aβ) …

The study aims to implement a convolutional neural network framework that uses the 18F-
FDG PET modality of brain imaging to detect multiple stages of dementia, including Early …

Purpose Epidemiological and logistical reasons are slowing the clinical validation of the
molecular imaging biomarkers in the initial stages of neurocognitive disorders. We provide …

Neurodegenerative diseases afflict a large number of persons worldwide, with the
prevalence and incidence of dementia rapidly increasing. Despite their prevalence, clinical …

Dementia is a significant global health issue that is exacerbated by an aging population.
Imaging plays an established role in the evaluation of patients with neurocognitive disorders …

To study the impact of the appeal of green advertisements on consumers' consumption
intention, this paper first studies low-resource language machine translation based on …

Background Neuropsychiatric sequelae of COVID-19 have been widely documented in
patients with severe neurological symptoms during the chronic or subacute phase of the …

To improve the quality and efficiency of machine translation (MT) for low-resource
languages (LRLs), this paper analyzes the application of genetic algorithm (GA) under the …