scholarly journals Senior Citizens as an Underresearched Age Group of Audiovisual Translation Users

Tertium ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 170-193
Author(s):  
Sonia Szkriba
Keyword(s):  
Cognitive Decline ◽  
Hard Of Hearing ◽  
Universal Design ◽  
Senior Citizens ◽  
Age Group ◽  
Future Studies ◽  
Age Related ◽  
The Subject ◽  
Audiovisual Translation ◽  
Partially Sighted

In recent years, approaches to audiovisua translation and media accessibility services have shifted from serving one group of viewers only towards a more universal design that takes into account a wider range of users. In line with that approach, some scholars point out, for example, that subtitling for the deaf and hard of hearing (SDH) or accessibility applications created with the blind and partially-sighted in mind could prove beneficial to senior citizens. This group of viewers is likely to experience age-related sensori-motor and cognitive decline, which may significantly influence their film-watching experience as well as their preference for an AVT method. As populations in many countries are aging, senior citizens might be considered an important part of potential cinema clientele. Unfortunately, since studies in AVT have concentrated on younger audiences, little is known about senior citizens’ specific preferences concerning audiovisual translation. The objective of this article is to briefly characterise senior citizens as recipients of audiovisual translation and discuss the possibilities for future studies on the subject.

scholarly journals Assessment of Cognitive Aging Using an SSVEP-Based Brain–Computer Interface System

2019 ◽  
Vol 3 (2) ◽  
pp. 29 ◽  
Author(s):  
Saraswati Sridhar ◽  
Vidya Manian
Keyword(s):  
Cognitive Decline ◽  
Cognitive Aging ◽  
Age Groups ◽  
Detection Accuracy ◽  
Cognitive Deterioration ◽  
Age Group ◽  
Frequency Detection ◽  
Band Power ◽  
Age Related ◽  
Bci System

Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain–computer interfaces (BCIs) stimulate and analyze key cerebral rhythms, enabling reliable cognitive assessment that can accelerate diagnosis. The BCI system presented analyzes steady-state visually evoked potentials (SSVEPs) elicited in subjects of varying age to detect cognitive aging, predict its magnitude, and identify its relationship with SSVEP features (band power and frequency detection accuracy), which were hypothesized to indicate cognitive decline due to aging. The BCI system was tested with subjects of varying age to assess its ability to detect aging-induced cognitive deterioration. Rectangular stimuli flickering at theta, alpha, and beta frequencies were presented to subjects, and frontal and occipital Electroencephalographic (EEG) responses were recorded. These were processed to calculate detection accuracy for each subject and calculate SSVEP band power. A neural network was trained using the features to predict cognitive age. The results showed potential cognitive deterioration through age-related variations in SSVEP features. Frequency detection accuracy declined after age group 20–40, and band power declined throughout all age groups. SSVEPs generated at theta and alpha frequencies, especially 7.5 Hz, were the best indicators of cognitive deterioration. Here, frequency detection accuracy consistently declined after age group 20–40 from an average of 96.64% to 69.23%. The presented system can be used as an effective diagnosis tool for age-related cognitive decline.

scholarly journals Predicting Age From Behavioral Test Performance for Screening Early Onset of Cognitive Decline

2021 ◽  
Vol 13 ◽  
Author(s):  
Yauhen Statsenko ◽  
Tetiana Habuza ◽  
Inna Charykova ◽  
Klaus Neidl-Van Gorkom ◽  
Nazar Zaki ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Classification Model ◽  
Great Promise ◽  
Healthy Population ◽  
Functional Domain ◽  
Cognitive Tests ◽  
Age Group ◽  
Volume Changes ◽  
Matter Volume ◽  
Age Related

Background: Neuronal reactions and cognitive processes slow down during aging. The onset, rate, and extent of changes vary considerably from individual to individual. Assessing the changes throughout the lifespan is a challenging task. No existing test covers all domains, and batteries of tests are administered. The best strategy is to study each functional domain separately by applying different behavioral tasks whereby the tests reflect the conceptual structure of cognition. Such an approach has limitations that are described in the article.Objective: Our aim was to improve the diagnosis of early cognitive decline. We estimated the onset of cognitive decline in a healthy population, using behavioral tests, and predicted the age group of an individual. The comparison between the predicted (“cognitive”) and chronological age will contribute to the early diagnosis of accelerated aging.Materials and Methods: We used publicly available datasets (POBA, SSCT) and Pearson correlation coefficients to assess the relationship between age and tests results, Kruskal-Wallis test to compare distribution, clustering methods to find an onset of cognitive decline, feature selection to enhance performance of the clustering algorithms, and classification methods to predict an age group from cognitive tests results.Results: The major results of the psychophysiological tests followed a U-shape function across the lifespan, which reflected the known inverted function of white matter volume changes. Optimal values were observed in those aged over 35 years, with a period of stability and accelerated decline after 55–60 years of age. The shape of the age-related variance of the performance of major cognitive tests was linear, which followed the trend of lifespan gray matter volume changes starting from adolescence. There was no significant sex difference in lifelong dynamics of major tests estimates. The performance of the classification model for identifying subject age groups was high.Conclusions: ML models can be designed and utilized as computer-aided detectors of neurocognitive decline. Our study demonstrated great promise for the utility of classification models to predict age-related changes. These findings encourage further explorations combining several tests from the cognitive and psychophysiological test battery to derive the most reliable set of tests toward the development of a highly-accurate ML model.

scholarly journals Variability in the Use of Audiovisual Translation Terminology

2021 ◽  
Author(s):  
Jurgita Kerevičienė ◽  
Jurgita Astrauskienė
Keyword(s):  
Hard Of Hearing ◽  
Target Audience ◽  
Audio Description ◽  
Audiovisual Translation ◽  
Partially Sighted ◽  
Gain Access

The growing supply of audiovisual products is closely linked to their translation to the target audience. In Lithuania, as well as in other countries, various modes of audiovisual translation are applied: some audiovisual works are dubbed, some are translated using voice-over, and still others are subtitled or surtitled. Deaf and hard of hearing viewers have access to the audiovisual content with the help of specialized subtitles; whereas the blind and partially sighted gain access via audio description. Each mode of audiovisual translation is defined by particular terms and specific characteristics, the variety of which may frequently seem like a kind of terminological maze for their users. This article aims at defining terms related to both the field of audiovisual translation and its modes by examining their differences and similarities to provide a structured classification of these terms. The paper also presents the insights and results of the survey, which reveals consumers’ ambiguities about the perception of audiovisual products and the application of audiovisual translation terminology.

scholarly journals Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models

2020 ◽  
pp. 249-260
Author(s):  
Kristen W. Carlson ◽  
Jay L. Shils ◽  
Longzhi Mei ◽  
Jeffrey E. Arle
Keyword(s):  
Back Pain ◽  
Functional Connectivity ◽  
Cognitive Decline ◽  
Large Scale ◽  
Neural Circuitry ◽  
Functional Requirements ◽  
Computational Power ◽  
Age Related ◽  
The Subject ◽  
Age Related Cognitive Decline

AbstractWe have truly entered the Age of the Connectome due to a confluence of advanced imaging tools, methods such as the flavors of functional connectivity analysis and inter-species connectivity comparisons, and computational power to simulate neural circuitry. The interest in connectomes is reflected in the exponentially rising number of articles on the subject. What are our goals? What are the “functional requirements” of connectome modelers? We give a perspective on these questions from our group whose focus is modeling neurological disorders, such as neuropathic back pain, epilepsy, Parkinson’s disease, and age-related cognitive decline, and treating them with neuromodulation.

scholarly journals Age-Related Patterns in the Subjective Appraisal of Cognition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 361-361
Author(s):  
Claudia Jacova ◽  
Samantha Smith ◽  
Frank Robertson
Keyword(s):  
Older Adults ◽  
Executive Functioning ◽  
Cognitive Decline ◽  
Community Dwelling ◽  
Subjective Cognitive Decline ◽  
Age Group ◽  
Everyday Functioning ◽  
Age Related ◽  
Cognitive Problems ◽  
The Relationship

Abstract Subjective cognitive decline (SCD) is a construct of high interest in aging and dementia because individuals endorsing it are at higher risk of developing cognitive problems. It is unclear how individuals arrive at the judgement that they have SCD. Here we aimed to understand which SCD symptoms give rise to the perception of decline as older adults age. Community-dwelling adults (N=494, mean age=63.6, SD=5.44), completed the Subjective Cognitive Decline Questionnaire (SCD-Q) online, using an online crowdsourcing site. The SCD-Q consists of one global question regarding self-perceived decline (yes/no) and 24 questions about everyday functioning which we utilized to form a memory, language, and executive functioning domain score, higher for greater perceived decline. Logistic regression revealed that memory and language domains predicted the likelihood of endorsing SCD for adults aged >64 (Memory: OR=1.76, CI=1.47-2.05; Language: OR=1.66, CI=1.30-2.02). Only the memory domain predicted the likelihood of endorsing SCD for adults <63 (OR=2.69, CI=2.35-3.02). Executive functioning domain scores did not play a role in the relationship between SCD likelihood in either age group. The higher the self-perceived memory or language decline, the more likely older adults are to conclude they have SCD. Our results suggest there is an age-related trajectory in how people evaluate their cognition, with younger people only considering memory and older people considering both memory and language. Clinicians should be aware of this trajectory when examining patients with SCD. Executive functions should be specifically queried because they may not emerge from older adults’ self-reported cognitive problems.

Autophagy and ageing: implications for age-related neurodegenerative diseases

2013 ◽  
Vol 55 ◽  
pp. 119-131 ◽  
Author(s):  
Bernadette Carroll ◽  
Graeme Hewitt ◽  
Viktor I. Korolchuk
Keyword(s):  
Neurodegenerative Diseases ◽  
Energy Availability ◽  
Future Studies ◽  
Intracellular Degradation ◽  
Age Related ◽  
Autophagy Induction ◽  
Social Importance ◽  
Cellular Dysfunction ◽  
Autophagy Activity ◽  
Intense Research

Autophagy is a process of lysosome-dependent intracellular degradation that participates in the liberation of resources including amino acids and energy to maintain homoeostasis. Autophagy is particularly important in stress conditions such as nutrient starvation and any perturbation in the ability of the cell to activate or regulate autophagy can lead to cellular dysfunction and disease. An area of intense research interest is the role and indeed the fate of autophagy during cellular and organismal ageing. Age-related disorders are associated with increased cellular stress and assault including DNA damage, reduced energy availability, protein aggregation and accumulation of damaged organelles. A reduction in autophagy activity has been observed in a number of ageing models and its up-regulation via pharmacological and genetic methods can alleviate age-related pathologies. In particular, autophagy induction can enhance clearance of toxic intracellular waste associated with neurodegenerative diseases and has been comprehensively demonstrated to improve lifespan in yeast, worms, flies, rodents and primates. The situation, however, has been complicated by the identification that autophagy up-regulation can also occur during ageing. Indeed, in certain situations, reduced autophagosome induction may actually provide benefits to ageing cells. Future studies will undoubtedly improve our understanding of exactly how the multiple signals that are integrated to control appropriate autophagy activity change during ageing, what affect this has on autophagy and to what extent autophagy contributes to age-associated pathologies. Identification of mechanisms that influence a healthy lifespan is of economic, medical and social importance in our ‘ageing’ world.

Activity Engagement in Cognitive Aging: A Review of the Evidence

2013 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Activity ◽  
Current Evidence ◽  
Omega 3 ◽  
Neuroprotective Effects ◽  
Activity Engagement ◽  
Age Related ◽  
Age Related Cognitive Decline

The population of older adults is rapidly increasing, as is the number and type of products and interventions proposed to prevent or reduce the risk of age-related cognitive decline. Advocacy and prevention are part of the American Speech-Language-Hearing Association’s (ASHA’s) scope of practice documents, and speech-language pathologists must have basic awareness of the evidence contributing to healthy cognitive aging. In this article, we provide a brief overview outlining the evidence on activity engagement and its effects on cognition in older adults. We explore the current evidence around the activities of eating and drinking with a discussion on the potential benefits of omega-3 fatty acids, polyphenols, alcohol, and coffee. We investigate the evidence on the hypothesized neuroprotective effects of social activity, the evidence on computerized cognitive training, and the emerging behavioral and neuroimaging evidence on physical activity. We conclude that actively aging using a combination of several strategies may be our best line of defense against cognitive decline.

Biographical Studies of G.I. Gurdjieff

2016 ◽  
Vol 11 (1) ◽  
pp. 10-35
Author(s):  
Joseph Azize
Keyword(s):  
Comparative Research ◽  
Source Material ◽  
Future Studies ◽  
The Third ◽  
The Subject

The various published biographies and biographical notices of G.I. Gurdjieff (c.1865-1949) are of diverse style, quantity and content. While some have made considerable contributions to the subject, most attempts have reacted for or against Gurdjieff’s status as what might call an ‘Enlightened Master’. Little biographical writing on Gurdjieff has questioned the scope, reliability and prejudices of the sources. Further, possible resources have been neglected. The development in Gurdjieff’s ideas is often overlooked, his life is not sufficiently related to that development, and the lack of comparative research has failed to highlight Gurdjieff’s unique contributions. This article is structured in four parts. The first is an introduction, followed by an overview of existing biographical studies of Gurdjieff. The third part addresses bias in these studies, and this is followed by suggestions for future studies. It is concluded that fieldwork regarding the biography of Gurdjieff has been hampered by imperfect methodology. However, with better use of the source material, some of which has only recently been discovered, and a rigorous use of sources, a more balanced and nuanced picture of Gurdjieff’s life, and the development of his ideas and methods, should emerge.

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