Relevant bibliographies by topics / Cognitive Factors

Academic literature on the topic 'Cognitive Factors'

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Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Cognitive Factors"

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Hill, Nikki, and Mindy Katz. "FACTORS INFLUENCING SELF-REPORTED COGNITION OVER TIME." Innovation in Aging 3, Supplement_1 (November 2019): S220. http://dx.doi.org/10.1093/geroni/igz038.804.

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Abstract Self-reported cognitive problems among cognitively intact older adults are often associated with an increased risk of future cognitive decline and Alzheimer’s disease (AD). However, cross-sectional evidence suggests that self-reported cognition may be more influenced by factors such as personality or affective symptoms than concurrent objective cognitive performance. Furthermore, self-reported cognition is measured using a variety of items that assess different constructs (e.g., current memory performance, perceived decline over time), which may be differentially influenced by individual characteristics or item interpretation. The purpose of this symposium is to present findings from multiple analyses that examined the influence of individual characteristics (i.e., personality, perceived stress, and family history of dementia) on self-reported cognitive problems, and to further describe how item type influences older adults’ responses to questions about their memory. First, we present the results of an investigation that examined the influence of personality on three types self-reported memory, with a specific focus on how these associations may differ in Black and White older adults. Second, we extend this discussion with results of an examination of associations among personality, family history of AD, and memory self-report. Our third presentation explores bidirectional associations between perceived stress and memory complaints over time. And finally, we present the results of a factor analysis of self-reported cognition items that distinguishes those that tend to travel together over time from those that are better at discriminating between individuals.
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Fonseca, Jose Andres Saez, Rhiannon Ducksbury, Joanne Rodda, Timothy Whitfield, Chitra Nagaraj, Kallur Suresh, Tim Stevens, and Zuzana Walker. "Factors that predict cognitive decline in patients with subjective cognitive impairment." International Psychogeriatrics 27, no. 10 (March 27, 2015): 1671–77. http://dx.doi.org/10.1017/s1041610215000356.

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ABSTRACTBackground:Current evidence supports the concept of a preclinical phase of Alzheimer's disease (AD) where pathological and imaging changes are present in asymptomatic individuals. Subjective cognitive impairment (SCI) may represent the earliest point on the continuum of AD. A better understanding of the baseline characteristics of this group of patients that later decline in cognition will enhance our knowledge of the very early disease processes, facilitate preventive strategies, early diagnosis, timely follow-up and treatment.Methods:An observational exploratory study which followed up 62 consecutive patients with SCI presenting to a memory clinic and compared baseline characteristics of SCI patients who declined cognitively with those who did not. Cognitive decline was defined as a progression to a diagnosis of amnestic mild cognitive impairment (aMCI) or dementia at follow-up.Results:Patients were followed up for a mean of 44 months (range 12–112 months). At the time of follow up, 24% of patients had declined. Patients that declined were significantly older at onset of symptoms and first presentation to memory clinic, and took significantly more medications for physical illnesses. Patients that declined also performed significantly worse on Trail Making Test (TMT) B and Cambridge Cognitive Examination – Revised (CAMCOG-R) at baseline. Survival analysis identified key variables that predicted decline (later age of onset and later age at first assessment).Conclusions:Patients who present with subjective memory complaints and are over the age of 61 years are at high risk of cognitive decline and warrant an in-depth assessment and follow-up.
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Mora Simón, Sara, M. ª. Victoria Perea Bartolomé, Valentina Ladera Fernández, Ricardo García García, Jaime Unzueta Arce, María C. Patino Alonso, and Emiliano Rodríguez Sánchez. "Cognitive impairment and associated factors. DERIVA study." Alzheimer. Realidades e investigación en demencia, no. 58 (September 1, 2014): 20–26. http://dx.doi.org/10.5538/1137-1242.2014.58.20.

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Ziv, Ido, David Leiser, and Joseph Levine. "Social cognition in schizophrenia: Cognitive and affective factors." Cognitive Neuropsychiatry 16, no. 1 (January 2011): 71–91. http://dx.doi.org/10.1080/13546805.2010.492693.

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Mettke-Hofmann, Claudia. "Cognitive ecology: ecological factors, life-styles, and cognition." Wiley Interdisciplinary Reviews: Cognitive Science 5, no. 3 (April 1, 2014): 345–60. http://dx.doi.org/10.1002/wcs.1289.

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Pinzon, Rizaldy Taslim, Rosa De Lima Sanyasi, and Satrianti Totting. "The prevalence and determinant factors of post-stroke cognitive impairment." Asian Pacific Journal of Health Sciences 5, no. 1 (March 2018): 78–83. http://dx.doi.org/10.21276/apjhs.2018.5.1.17.

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Neighbors, Clayton, Mary M. Tomkins, Jordanna Lembo Riggs, Joanne Angosta, and Andrew P. Weinstein. "Cognitive factors and addiction." Current Opinion in Psychology 30 (December 2019): 128–33. http://dx.doi.org/10.1016/j.copsyc.2019.05.004.

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Cheung, Ethan Siu Leung, and Ada Mui. "The Association between Environmental Factors, Race, and Cognitive Status." Innovation in Aging 4, Supplement_1 (December 1, 2020): 894. http://dx.doi.org/10.1093/geroni/igaa057.3296.

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Abstract Based on the data from National Social Life, Health and Aging Project, Wave 3, this study examined two research questions: what is the role of race in predicting cognitive status? and what are predictors of cognitive status between white and black older adults? Cognitive status was assessed using the 18-item survey-adapted Montreal Cognitive Assessment. Using the ecological framework, correlates of cognitive status were conceptualized in three levels of environments: micro- (personal health), meso- (social relationship), and macro-environments (community characteristics). Hierarchical regressions analyses were employed. Findings indicated that 83% of the sample (n= 2,829) were whites and the mean age was 72.95. Bivariate analyses suggested significant racial differences in cognitive status, marital status, income, education, health, social relationship, and community characteristics. Additive and interactive models showed that race had an independent effect as well as joint effects with the three levels of environments in explaining cognitive status. Parallel regression analyses for each racial group were undertaken and models were significant (P < .0001). In two separate models, common predictors for better cognition included being younger, more educated, fewer IADL impairments, and less depression. For older whites, unique correlates for better cognition were being female, higher income, sense of control in life, safer community, and neighbor relations. The only unique correlate for older blacks to have better cognition was community cohesion. Results provided insights on racial differences in cognition experienced among community-dwelling older Americans, and emphasized the need for social programs that promote race-sensitive, age-friendly communities to protect against cognitive decline.
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Shaw, FE, and RA Kenny. "Science of risk factors in fallers: impact of cognitive dysfunction." Reviews in Clinical Gerontology 11, no. 4 (November 2001): 299–309. http://dx.doi.org/10.1017/s095925980101142x.

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Older people with cognitive impairment and dementia are at increased risk of falls and their adverse consequences when compared with cognitively intact older adults. Using prospectively gathered data, approximately three-quarters of older people with cognitive impairment and dementia can expect to fall each year, double the fall-risk of cognitively normal older people. In addition, compared with their cognitively normal counterparts, people with cognitive impairment and dementia have an increased annual incidence of fractures, and are less likely to make a good functional recovery after a fall. The prevalence of dementia in the United Kingdom is about 5% of the population aged over 65, and 15% of those aged over 80. Falls in patients with cognitive impairment and dementia represent a significant health problem in the UK.
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MacAulay, Rebecca K., Amy Halpin, Alex S. Cohen, Matthew Calamia, Angelica Boeve, Le Zhang, Robert M. Brouillette, Heather C. Foil, Annadora Bruce-Keller, and Jeffrey N. Keller. "Predictors of Heterogeneity in Cognitive Function: APOE-e4, Sex, Education, Depression, and Vascular Risk." Archives of Clinical Neuropsychology 35, no. 6 (March 4, 2020): 660–70. http://dx.doi.org/10.1093/arclin/acaa014.

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Abstract Objective Mild cognitive impairment and dementia are clinically heterogeneous disorders influenced by diverse risk factors. Improved characterization of the effect of multiple risk factors influence on specific cognitive functions may improve understanding of mechanisms in early cognitive change and lead to more effective interventions. Methods Structural equation modeling (SEM) simultaneously examined the effects of modifiable (education, depression, and metabolic/vascular risk) and nonmodifiable risk factors (age, sex, and apolipoprotein E-ɛ4 allele [APOE-e4] status) on specific cognitive domains in 461 cognitively normal older adults. Results The hypothesized model(s) provided an adequate fit for the data. Sex differences in cognition, depression, and vascular risk were found. On average, men were higher in vascular risk with generally lower cognitive performance than women; women were more likely to have depression. APOE-e4 associated with depression but not age, sex, or metabolic/vascular risk. Depression associated with lower executive attention, memory, and language performance, whereas metabolic/vascular risk associated with lower executive attention, memory, and working memory. Older age and lower education are associated with worse performance across the cognitive domains. The combined risk factors accounted for 16%–47% of the variance in the cognitive domains. Conclusions Results highlight the combined effect of risk factors on cognitive function. Future research is needed to determine whether the multifactorial risk effects on cognition vary by sex. Precision medicine approaches that integrate neuropsychological services may improve diagnostic accuracy and earlier identification of those at risk of cognitive decline.
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Dissertations / Theses on the topic "Cognitive Factors"

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McGowan, Alastair. "Cognitive factors mediating situation awareness." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/55639/.

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The six experiments reported in this thesis tested Endsley's (1995) three level theory of perception, comprehension and projection in SA alongside relevant cognitive theories, using a driving hazard perception test (HPT) of both hazard recognition and hazard anticipation as the main dependent measures. Experiments 1 and 2 tested the effects of training and expertise on the HPT, revealing a positive association between hazard anticipation and both SA training and expertise. Experiment 2 revealed a potentially complex relationship between expertise and recognition and anticipation. The effects of training Endsley's (1995) perception and comprehension levels of SA did not appear to be additive as predicted by that theory. Experiments 3 and 4 tested the effects of concurrent freeze probes and real time SA probes on the HPT. This revealed a negative effect of interruption and a positive effect of reorientation (revealing the rationale of the task) associated with the use of a freeze probe, in terms of hazard anticipation. Furthermore, these two effects appear to be mutually cancelling. It was also found that notification of forthcoming online probes does not ameliorate the negative effects of those interruptions in terms of hazard anticipation. Experiments 5 and 6 tested the effects of working memory interference in terms of visual-spatial, phonological and episodic buffer processing on the two HPT measures. This revealed more deleterious effects on hazard recognition associated with visual-spatial and episodic buffer interference than with phonological interference. It is argued that in terms of SA related visual processing during driving Milner and Goodale's (1992) dual pathway theory appears to have more explanatory power than Endsley's (1995) theory of SA.
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Menon, Mahesh. "Cognitive factors in schizophrenic delusions." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614728.

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Todd, Gillian. "Cognitive factors in bulimia nervosa." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613854.

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Barnacle, Gemma Elizabeth. "Understanding emotional memory : cognitive factors." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/understanding-emotional-memory-cognitive-factors(9b13f29e-169a-4dc5-a835-c5d8d7347ac4).html.

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The term Emotional Enhancement of Memory (EEM) describes the better memory of emotional compared to neutral events. When the EEM effect is measured after a delay the modulation model explains this effect very well, citing preferential consolidation of emotional events as the cause. However, the EEM effect can be observed before consolidation, an inexplicable result for the modulation model. Mediation theory offers an alternative explanation of the EEM effect: cognitive factors at encoding contribute to the immediate EEM (iEEM); namely attention, semantic relatedness, and distinctiveness processing (DP). The current research sought to further elucidate the neural underpinnings of DP – said to occur in ‘mixed’ lists of emotional and neutral stimuli – as a significant contributor to the iEEM. This was measured by comparing immediate free recall memory of emotional and neutral stimuli presented in mixed, and pure lists (emotional or neutral stimuli), using a specially formulated stimulus set which controlled for differential semantic relatedness (SeRENS, Chapter 3).Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data provided preliminary evidence of neural encoding correlates of the iEEM (Chapter 4 and 5); data which is not predicted by the modulation model. The behavioural EEM effect found in mixed lists was driven by a reduction in neutral memory relative to pure lists; however neural correlates of this effect were minimal. Conversely, successful mixed list emotional encoding (relative to pure list emotional encoding and neutral encoding) correlated with greater neural activity associated with [bottom-up] attention (in P300 and right supramarginal gyrus) and semantic processing (late positive potential and left anterior superior temporal gyrus; EEG and fMRI evidence respectively); although this did not correlate with behavioural measures of memory. This behaviour-neuroimaging discrepancy can be reconciled when one considers the results of Chapter 6: the crucial iEEM behavioural effect of impaired neutral memory was associated with retroactive interference from proceeding emotional stimuli (especially when relational processing resources were depleted); a neural effect that cannot be captured by the current event-related designs. This suggests that what is captured in the neuroimaging data is the mechanism which drives the retroactive interference at the temporal locus of emotional stimulus onset. These results raise the possibility of two disociable EEM effects: the iEEM effect explained by poor neutral memory due to retroactive interference of proceeding emotional stimuli (mediation theory); and the delayed EEM effect explained by preferential emotional stimulus consolidation (modulation model). These explanations can be unified into one model; however further testing would be required to determine the endurance of cognitive contributions to the EEM effect.
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Burton, David L. "Cognitive factors in sexually aggressive children /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/11185.

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Baldwin, Erin. "Humor Perception: The Contribution of Cognitive Factors." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/psych_diss/31.

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Most of the extant humor research has focused on humor comprehension with only a few studies investigating humor appreciation as a separate construct. The purpose of this investigation was to determine the relation between humor and underlying cognitive processes. Literature on brain injured individuals has indicated that working memory, verbal and visual-spatial reasoning, cognitive flexibility, and concept formation are related to performance on comprehension tests of humor. In this study, cognitive processes underlying both verbal and nonverbal humor were investigated in a sample of healthy young adults. There is evidence that semantic and phonological humor are associated with different neural networks; therefore, both semantic and phonological humor were explored. Studies investigating physiological arousal and humor have indicated that arousal is necessary for the experience of humor. This suggests that the appreciation of humor may require the integration of cognitive and affective information, a process mediated by the ventromedial prefrontal cortex (VMPFC). Thus, a second goal of this study was to investigate the relationship between humor comprehension and appreciation and the VMPFC, by including experimental tasks that previously have been linked to VMPFC functioning. Participants included 94 undergraduate psychology students between the ages of 18 and 39 years. Participants watched film clips and listened to jokes. After the presentation of each joke and each film clip, they completed a humor comprehension/appreciation inventory developed for this study. They also completed measures assessing a range of cognitive abilities hypothesized to underlie humor perception. Hierarchical regression analyses revealed that verbal reasoning was predictive of semantic humor comprehension, indicating that verbal reasoning is a core cognitive ability for the comprehension of jokes in which the humor depends on factors other than simple word play. Cognitive measures were not predictive of phonological humor comprehension or nonverbal humor comprehension. Hierarchical regression analyses revealed that the indicators of VMPFC functioning did not correlate with either humor comprehension or humor appreciation and did not moderate the relation between humor comprehension and humor appreciation. Future research is necessary to elucidate the relationships between cognitive abilities and humor perception and to further explore the contribution of the VMPFC to humor appreciation.
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Baldwin, Erin Jannett Maren. "Humor perception the contribution of cognitive factors /." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-06172007-015744/.

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Thesis (Ph. D.)--Georgia State University, 2007.
Title from file title page. Mary Morris, committee chair; Diana Robins, Erin McClure, Eric Vanman, committee members. Electronic text (137 p. : ill.) : digital, PDF file. Description based on contents viewed Nov. 6, 2007. Includes bibliographical references (p. 88-106).
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Holttum, Susan. "Depression : cognitive, social, environmental and emotional factors." Thesis, University of St Andrews, 1991. http://hdl.handle.net/10023/2654.

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This work examined four issues, in relation to both the experience of depression, and vulnerability to depression. There were four empirical studies, each with two parts. The first study examined the role of cognitions, such as overgeneralizations (Beck, 1963; Beck et al, 1979), and causal attributions (Abramson et al, 1978; Alloy et al, 1988). Their role as symptoms of depression, and as possible vulnerability factors, independent of current mood, was examined. In the first part of the study, clinically depressed patients, recovered subjects, and community control subjects were interviewed and given questionnaires. In the second part of the study a larger sample of students, some of whom became mildly depressed on beginning university filled in questionnaires at the start of term and again five weeks later. The same subject groups were the basis for the study on social factors, and the study on life events. The fourth study was also in two parts. A different sample of students were the subjects for the first part, and the same clinical and control groups participated in the second part. Factors found to be associated with the state of depression were: Internal, stable and global attributions for the causes of bad events, negative view of future outcomes, and negative view of self; social skill deficits and lack of social support; recent difficult life events. One factor failed to show any strong association with the depressed state – unrealistic goals. Factors associated with vulnerability to depression: Negative evaluations of future outcomes, and of self, unrealistic goals and, surprisingly, lower-than-normal goals; deficits in social skill (especially low self-confidence in social settings) and lack of social support; history-of difficult life events. Factors which failed to show association with vulnerability to depression: Causal-attributions for events; adverse reaction to depression itself. Deficits in social skill were associated with lack of social support. Depression proneness itself appeared to be a risk factor for negative life events.
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Malek-Ahmadi, Michael. "Cardiovascular risk factors for mild cognitive impairment." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0002872.

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Golden, Ann-Marie Jelena. "Complicated grief (CG) : emotional and cognitive factors." Thesis, Open University, 2007. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446278.

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Books on the topic "Cognitive Factors"

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Knafo, Shira, and César Venero. Cognitive enhancement: Pharmacologic, environmental, and genetic factors. Amsterdam: Elsevier/AP, Academic Press is an imprint of Elsevier, 2015.

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Salthouse, Timothy. A theory of cognitive aging. Amsterdam: North-Holland, 1985.

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A theory of cognitive aging. Amsterdam: North-Holland, 1985.

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Kyllonen, Patrick C. Role of cognitive factors in the acquisition of cognitive skill. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1990.

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Morrison, Anthony Paul. Cognitive factors in source monitoring and auditory hallucinations. Manchester: University of Manchester, 1995.

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Howe, Mark L. Cognitive and Behavioral Performance Factors in Atypical Aging. New York, NY: Springer New York, 1990.

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Khine, Myint Swe, and Shaljan Areepattamannil, eds. Non-cognitive Skills and Factors in Educational Attainment. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-591-3.

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Howe, Mark L., Michael J. Stones, and Charles J. Brainerd, eds. Cognitive and Behavioral Performance Factors in Atypical Aging. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8947-7.

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Powell, Douglas H. Profiles in cognitive aging. Cambridge, Mass: Harvard University Press, 1994.

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1950-, Miranda Jeanne, and Segal Zindel V. 1956-, eds. Cognitive vulnerability to depression. New York: Guilford Press, 1998.

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Book chapters on the topic "Cognitive Factors"

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Davey, Graham, Suzanne Dash, and Frances Meeten. "Cognitive Factors." In Obsessive Compulsive Disorder, 53–76. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-30869-6_4.

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Roy, Eric. "Cognitive Factors." In Encyclopedia of Behavioral Medicine, 447–48. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1116.

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Roy, Eric. "Cognitive Factors." In Encyclopedia of Behavioral Medicine, 492–93. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1116.

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Lu, B., G. Nagappan, and Y. Lu. "BDNF and Synaptic Plasticity, Cognitive Function, and Dysfunction." In Neurotrophic Factors, 223–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45106-5_9.

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Sun, Rui-shan, Zi-li Chen, Guang-xia Huang-fu, Guang-fu Ma, Di Wu, and Zhen Liu. "Factors Influencing Cargo Pilots’ Fatigue." In Engineering Psychology and Cognitive Ergonomics: Cognition and Design, 284–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58475-1_21.

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Vladimíra, Čavojová, and Hanák Róbert. "5 Culture’s Influences on Cognitive Reflection." In Human Factors and Ergonomics, 85–102. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315369587-6.

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Russell, Suzanna, Vincent G. Kelly, Shona L. Halson, and David G. Jenkins. "Cognitive Load in Sport." In Human Factors and Ergonomics in Sport, 181–200. Boca Raton, FL : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781351060073-14.

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Tharanathan, Anand, and Ling Rothrock. "Human Factors and Cognitive Engineering." In Handbook of Loss Prevention Engineering, 373–91. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527650644.ch16.

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Cushing, Annie. "Assessment of Non-Cognitive Factors." In International Handbook of Research in Medical Education, 711–55. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0462-6_27.

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Metz, A. J., Alexandra Kelly, and Paul A. Gore. "Promoting Transferable Non-Cognitive Factors." In Exploring New Horizons in Career Counselling, 151–66. Rotterdam: SensePublishers, 2015. http://dx.doi.org/10.1007/978-94-6300-154-0_9.

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Conference papers on the topic "Cognitive Factors"

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Hewett, Thomas T. "Cognitive factors in design." In the 5th conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1056224.1056287.

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Hewett, Thomas T. "Cognitive factors in design." In CHI '97 extended abstracts. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/1120212.1120313.

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Hewett, Thomas T. "Cognitive factors in design." In Conference companion. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223355.223718.

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Hewett, Thomas T. "Cognitive factors in design." In CHI '99 extended abstracts. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/632716.632789.

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Hewett, Thomas T. "Cognitive factors in design." In Conference companion. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/257089.257376.

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Hewett, Thomas T. "Cognitive factors in design." In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286565.

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Hadar, Irit, and Anna Zamansky. "Cognitive factors in inconsistency management." In 2015 IEEE 23rd International Requirements Engineering Conference (RE). IEEE, 2015. http://dx.doi.org/10.1109/re.2015.7320427.

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Liu, Xiaotong, Anbang Xu, Zhe Liu, Yufan Guo, and Rama Akkiraju. "Cognitive Learning." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3312844.

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Zhou, Qiushi, Joshua Newn, Namrata Srivastava, Tilman Dingler, Jorge Goncalves, and Eduardo Velloso. "Cognitive Aid." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3313010.

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Bevington, Jim, and Don Knox. "Cognitive factors in generative music systems." In the 9th Audio Mostly. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2636879.2636891.

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Reports on the topic "Cognitive Factors"

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Seales, W. B. Surgical Technology Integration with Tools for Cognitive Human Factors (STITCH). Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada613870.

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Seales, W. B. Surgical Technology Integration with Tools for Cognitive Human Factors (STITCH). Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada633142.

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Seales, W. B. Surgical Technology Integration with Tools for Cognitive Human Factors (STITCH). Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada633144.

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Gehrig, Anne. A study of factors affecting cognitive style in Mexican-American children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3171.

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Qu, Xi. Risk factors of cognitive frailty in older adults: a Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0097.

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Carlson, Bryant. Concerted Cultivation, Academic Achievement, and the Mediating Role of Non-Cognitive Factors. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6691.

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Hale, Jo Mhairi, Maarten J. Bijlsma, and Angelo Lorenti. Does postponing retirement affect cognitive function? A counterfactual experiment to disentangle life course risk factors. Rostock: Max Planck Institute for Demographic Research, April 2020. http://dx.doi.org/10.4054/mpidr-wp-2020-013.

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Boyer, Pascal, and Pierre Lienard. Detection of Outside Threat in Different Cultures: Ecological, Cultural and Cognitive Factors of Effective Influence. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada581336.

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Cannell-Cordier, Amy. The Role of Emotional Support Consistency and Child Risk Factors in Predicting Pre-K Cognitive and Social-Emotional Development. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2364.

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Hill, Patrick, Brent Roberts, Jeffrey Grogger, Jonathan Guryan, and Karen Sixkiller. Decreasing Delinquency, Criminal Behavior, and Recidivism by Intervening on Psychological Factors Other than Cognitive Ability: A Review of the Intervention Literature. Cambridge, MA: National Bureau of Economic Research, January 2011. http://dx.doi.org/10.3386/w16698.

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