Results for ' DETECT CHANGES'

999 found
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  1.  3
    Effects of Priming Discriminated Experiences on Emotion Recognition Among Asian Americans.Sophia Chang & Sun-Mee Kang - 2022 - Frontiers in Psychology 13.
    This study explored the priming effects of discriminated experiences on emotion recognition accuracy of Asian Americans. We hypothesized that when Asian Americans were reminded of discriminated experiences due to their race, they would detect subtle negative emotional expressions on White faces more accurately than would Asian Americans who were primed with a neutral topic. This priming effect was not expected to emerge in detecting negative facial expressions on Asian faces. To test this hypothesis, 108 participants were randomly assigned to (...)
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  2.  39
    A novel method for evaluation of improved survival trend for common cancer: early detection or improvement of medical care.Wei-Chu Chie, Yi-Hsin Chang & Hsiu-Hsi Chen - 2007 - Journal of Evaluation in Clinical Practice 13 (1):79-85.
  3.  39
    Self-deceive to countermine detection.Hui Jing Lu & Lei Chang - 2011 - Behavioral and Brain Sciences 34 (1):33-33.
    Having evolved to escape detection of deception completely, self-deception must respond to social conditions registering different probabilities of detection. To be adaptive, it must have a mechanism to keep truthful information temporarily from the self during deception and retrieve it after deception. The memory system may serve this mechanism and provides a paradigm in which to conduct research on self-deception.
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  4.  19
    High-resolution identification of stacking faults in epitaxial Ba 0.3 Sr 0.7 TiO 3 thin films.C. Lu, L. Bendersky, K. Chang & I. Takeuchi - 2003 - Philosophical Magazine 83 (13):1565-1595.
    The near-interface region of an epitaxial Ba 0.3 Sr 0.7 TiO 3 thin film grown on LaAlO 3 was found to consist of a high density of stacking faults bounded by partial dislocations. The stacking faults can extend over large distances . Various possible atomic configurations of the faults were considered. The atomic structures of the faults were identified using high-resolution electron microscopy and simulation as well as energy-filtered imaging. The and faults were found to lie predominately on the {100} (...)
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  5. A Diamond-Based Electrode for Detection of Neurochemicals in the Human Brain.Kevin E. Bennet, Jonathan R. Tomshine, Hoon-Ki Min, Felicia S. Manciu, Michael P. Marsh, Seungleal B. Paek, Megan L. Settell, Evan N. Nicolai, Charles D. Blaha, Abbas Z. Kouzani, Su-Youne Chang & Kendall H. Lee - 2016 - Frontiers in Human Neuroscience 10.
  6.  62
    The roles of the temporal lobe in creative insight: an integrated review.Wangbing Shen, Yuan Yuan, Chang Liu & Jing Luo - 2017 - Thinking and Reasoning 23 (4):321-375.
    Recent studies have revealed that the temporal lobe, a cortical region thought to be in charge of episodic and semantic memory, is involved in creative insight. This work examines the contributions of discrete temporal regions to insight. Activity in the medial temporal regions is indicative of novelty recognition and detection, which is necessary for the formation of novel associations and the “Aha!” experience. The fusiform gyrus mainly affects the formation of gestalt-like representation and perspective taking. The anterior and posterior middle (...)
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  7.  26
    Plagiarism in submitted manuscripts: incidence, characteristics and optimization of screening—case study in a major specialty medical journal.James P. Evans, Feng-Chang Lin & Janet R. Higgins - 2016 - Research Integrity and Peer Review 1 (1).
    BackgroundPlagiarism is common and threatens the integrity of the scientific literature. However, its detection is time consuming and difficult, presenting challenges to editors and publishers who are entrusted with ensuring the integrity of published literature.MethodsIn this study, the extent of plagiarism in manuscripts submitted to a major specialty medical journal was documented. We manually curated submitted manuscripts and deemed an article contained plagiarism if one sentence had 80 % of the words copied from another published paper. Commercial plagiarism detection software (...)
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  8.  12
    Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning.YuMei Duan, WeiDong Zhao, Cheng Luo, XiaoJu Liu, Hong Jiang, YiQian Tang, Chang Liu & DeZhong Yao - 2022 - Frontiers in Human Neuroscience 15.
    Although emerging evidence has implicated structural/functional abnormalities of patients with Autism Spectrum Disorder, definitive neuroimaging markers remain obscured due to inconsistent or incompatible findings, especially for structural imaging. Furthermore, brain differences defined by statistical analysis are difficult to implement individual prediction. The present study has employed the machine learning techniques under the unified framework in neuroimaging to identify the neuroimaging markers of patients with ASD and distinguish them from typically developing controls. To enhance the interpretability of the machine learning model, (...)
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  9.  17
    Distributed Functional Connectome of White Matter in Patients With Functional Dyspepsia.Qiang Xu, Yifei Weng, Chang Liu, Lianli Qiu, Yulin Yang, Yifei Zhou, Fangyu Wang, Guangming Lu, Long Jiang Zhang & Rongfeng Qi - 2021 - Frontiers in Human Neuroscience 15.
    Purpose: We aimed to find out the distributed functional connectome of white matter in patients with functional dyspepsia.Methods: 20 patients with FD and 24 age- and gender-matched healthy controls were included into the study. The functional connectome of white matter and graph theory were used to these participants. Two-sample t-test was used for the detection the abnormal graph properties in FD. Pearson correlation was used for the relationship between properties and the clinical and neuropshychological information.Results: Patients with FD and healthy (...)
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  10.  5
    Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis.R. Nandhini Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Usman Tariq & Chuan-Yu Chang - 2021 - Complexity 2021:1-30.
    Computational visual perception, also known as computer vision, is a field of artificial intelligence that enables computers to process digital images and videos in a similar way as biological vision does. It involves methods to be developed to replicate the capabilities of biological vision. The computer vision’s goal is to surpass the capabilities of biological vision in extracting useful information from visual data. The massive data generated today is one of the driving factors for the tremendous growth of computer vision. (...)
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  11.  9
    Cingulate and thalamic metabolites in obsessive-compulsive disorder.Joseph O'Neill, Tsz M. Lai, Courtney Sheen, Giulia C. Salgari, Ronald Ly, Casey Armstrong, Susanna Chang, Jennifer G. Levitt, Noriko Salamon, Jeffry R. Alger & Jamie D. Feusner - unknown
    Focal brain metabolic effects detected by proton magnetic resonance spectroscopy (MRS) in obsessive-compulsive disorder (OCD) represent prospective indices of clinical status and guides to treatment design. Sampling bilateral pregenual anterior cingulate cortex (pACC), anterior middle cingulate cortex (aMCC), and thalamus in 40 adult patients and 16 healthy controls, we examined relationships of the neurometabolites glutamate+glutamine (Glx), creatine+phosphocreatine (Cr), and choline-compounds (Cho) with OCD diagnosis and multiple symptom types. The latter included OC core symptoms (Yale-Brown Obsessive-Compulsive Scale - YBOCS), depressive symptoms (...)
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  12. On the failure to detect changes in scenes across brief interruptions.Ronald A. Rensink, Kevin J. O'Regan & James J. Clark - 2000 - Visual Cognition 7 (1/2/3):127-145.
    When brief blank fields are placed between alternating displays of an original and a modified scene, a striking failure of perception is induced: the changes become extremely difficult to notice, even when they are large, presented repeatedly, and the observer expects them to occur (Rensink, O'Regan, & Clark, 1997). To determine the mechanisms behind this induced "change blindness", four experiments examine its dependence on initial preview and on the nature of the interruptions used. Results support the proposal that representations (...)
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  13. Detecting Change.Paul Helm - 1977 - Ratio 19 (1):34-38.
     
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  14. Detecting change in angle independent of change in orientation.M. J. Wright - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview. pp. 87-87.
  15. On the failure to detect changes in scenes across saccades.John A. Grimes - 1996 - In Kathleen Akins (ed.), Perception. Oxford University Press.
  16. Musical change deafness: The inability to detect change in a non-speech auditory domain.Kat R. Agres & Carol L. Krumhansl - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 969--974.
  17.  50
    An ERP study of change detection, change blindness, and visual awareness.Mika Koivisto & Antti Revonsuo - 2003 - Psychophysiology 40 (3):423-429.
  18. Change Detection.Ronald A. Rensink - 2002 - Annual Review of Psychology 53 (1):245-277.
    Five aspects of visual change detection are reviewed. The first concerns the concept of change itself, in particular the ways it differs from the related notions of motion and difference. The second involves the various methodological approaches that have been developed to study change detection; it is shown that under a variety of conditions observers are often unable to see large changes directly in their field of view. Next, it is argued that this “change blindness” indicates that focused attention (...)
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  19.  14
    Towards Neuroadaptive Personal Learning Environments: Using fNIRS to Detect Changes in Attentional State.Leah Friedman, Ruixue Liu, Aria Kim, Erin Walker & Erin Solovey - 2018 - Frontiers in Human Neuroscience 12.
  20.  28
    The Applicability of Standard Error of Measurement and Minimal Detectable Change to Motor Learning Research—A Behavioral Study.Leonardo Furlan & Annette Sterr - 2018 - Frontiers in Human Neuroscience 12.
  21. Change blindness blindness: Beliefs about the roles of intention and scene complexity in change detection.Melissa R. Beck, Daniel T. Levin & Bonnie Angelone - 2007 - Consciousness and Cognition 16 (1):31-51.
    Observers have difficulty detecting visual changes. However, they are unaware of this inability, suggesting that people do not have an accurate understanding of visual processes. We explored whether this error is related to participants’ beliefs about the roles of intention and scene complexity in detecting changes. In Experiment 1 participants had a higher failure rate for detecting changes in an incidental change detection task than an intentional change detection task. This effect of intention was greatest for complex (...)
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  22. Change detection without awareness: Do explicit reports underestimate the representation of change in the visual system?Diego Fernandez-Duque & Ian Thornton - 2000 - Visual Cognition 7 (1):323-344.
    Evidence from many different paradigms (e.g. change blindness, inattentional blindness, transsaccadic integration) indicate that observers are often very poor at reporting changes to their visual environment. Such evidence has been used to suggest that the spatio-temporal coherence needed to represent change can only occur in the presence of focused attention. In four experiments we use modified change blindness tasks to demonstrate (a) that sensitivity to change does occur in the absence of awareness, and (b) this sensitivity does not rely (...)
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  23.  17
    Technology Changes the Ethical Stakes in HIV Surveillance and Prevention: Response to Open Peer Commentaries on “Reassessing the Ethics of Molecular HIV Surveillance in the Era of Cluster Detection and Response”.Stephen Molldrem & Anthony K. J. Smith - 2020 - American Journal of Bioethics 20 (10):W1-W3.
    Volume 20, Issue 10, October 2020, Page W1-W3.
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  24. Change blindness blindness: The metacognitive error of overestimating change-detection ability.Daniel T. Levin, Nausheen Momen, Sarah B. Drivdahl & Daniel J. Simons - 2000 - Visual Cognition 7 (1):397-412.
  25.  29
    Detection of change in shape: an advantage for concavities.Elan Barenholtz, Elias H. Cohen, Jacob Feldman & Manish Singh - 2003 - Cognition 89 (1):1-9.
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  26.  4
    Automatic change detection: Mismatch negativity and the now-classic Rensink, O’Reagan, and Clark (1997) stimuli.Domonkos File, Bela Petro, Zsófia Anna Gaál, Nóra Csikós & István Czigler - 2022 - Frontiers in Psychology 13.
    Change blindness experiments had demonstrated that detection of significant changes in natural images is extremely difficult when brief blank fields are placed between alternating displays of an original and a modified scene. On the other hand, research on the visual mismatch negativity component of the event-related potentials identified sensitivity to events different from the regularity of stimulus sequences, even if the deviant and standard events are non-attended. The present study sought to investigate the apparent controversy between the experience under (...)
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  27. Changes are not localized before they are explicitly detected.Stephen R. Mitroff & Daniel J. Simons - 2000 - Investigative Ophthalmology and Visual Science 41 (4).
  28. Change detection, attention, and the contents of awareness.Daniel J. Simons & Ronald A. Rensink - 2000 - Consciousness and Cognition 9 (2):S18 - S19.
  29.  94
    Neural correlates of change detection and change blindness.Diane Beck, Geraint Rees, Christopher D. Frith & Nilli Lavie - 2001 - Nature Neuroscience 4 (6):645-650.
  30.  44
    Automatic Change Detection to Facial Expressions in Adolescents: Evidence from Visual Mismatch Negativity Responses.Tongran Liu, Tong Xiao & Jiannong Shi - 2016 - Frontiers in Psychology 7.
  31.  6
    Implicit Detection Observation in Different Features, Exposure Duration, and Delay During Change Blindness.Wang Xiang - 2021 - Frontiers in Psychology 11.
    To investigate whether implicit detection occurs uniformly during change blindness with single or combination feature stimuli, and whether implicit detection is affected by exposure duration and delay, two one-shot change detection experiments are designed. The implicit detection effect is measured by comparing the reaction times of baseline trials, in which stimulus exhibits no change and participants report “same,” and change blindness trials, in which the stimulus exhibits a change but participants report “same.” If the RTs of blindness trials are longer (...)
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  32.  13
    Detection of rate of change of auditory frequency.Irwin Pollack - 1968 - Journal of Experimental Psychology 77 (4):535.
  33.  15
    Automatic Change Detection of Emotional and Neutral Body Expressions: Evidence From Visual Mismatch Negativity.Xiaobin Ding, Jianyi Liu, Tiejun Kang, Rui Wang & Mariska E. Kret - 2019 - Frontiers in Psychology 10.
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  34.  15
    Detection of single letters and letters in words with changing vs unchanging mask characters.W. K. Estes, Elizabeth L. Bjork & Edith Skaar - 1974 - Bulletin of the Psychonomic Society 3 (3):201-203.
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  35.  56
    Changes in Motor-Related Cortical Activity Following Deep Brain Stimulation for Parkinson’s Disease Detected by Functional Near Infrared Spectroscopy: A Pilot Study.Takashi Morishita, Masa-aki Higuchi, Kazuya Saita, Yoshio Tsuboi, Hiroshi Abe & Tooru Inoue - 2016 - Frontiers in Human Neuroscience 10.
  36.  9
    Detecting Evolutionary Forces in Language Change.Mitchell Newberry, Ahern G., A. Christopher, Robin Clark & Joshua B. Plotkin - 2017 - Nature Publishing Group 551 (7679):223–226.
    Both language and genes evolve by transmission over generations with opportunity for differential replication of forms. The understanding that gene frequencies change at random by genetic drift, even in the absence of natural selection, was a seminal advance in evolutionary biology. Stochastic drift must also occur in language as a result of randomness in how linguistic forms are copied between speakers. Here we quantify the strength of selection relative to stochastic drift in language evolution. We use time series derived from (...)
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  37.  30
    Priming effects under correct change detection and change blindness.Corrado Caudek & Fulvio Domini - 2013 - Consciousness and Cognition 22 (1):290-305.
    In three experiments, we investigated the priming effects induced by an image change on a successive animate/inanimate decision task. We studied both perceptual and conceptual priming effects, under correct change detection and change blindness . Under correct change detection, we found larger positive priming effects on congruent trials for probes representing animate entities than for probes representing artifactual objects. Under CB, we found performance impairment relative to a “no-change” baseline condition. This inhibition effect induced by CB was modulated by the (...)
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  38.  12
    Detection of Motor Changes in Huntington's Disease Using Dynamic Causal Modeling.Lora Minkova, Elisa Scheller, Jessica Peter, Ahmed Abdulkadir, Christoph P. Kaller, Raymund A. Roos, Alexandra Durr, Blair R. Leavitt, Sarah J. Tabrizi & Stefan Klöppel - 2015 - Frontiers in Human Neuroscience 9.
  39.  26
    Detecting Temporal Change in Dynamic Sounds: On the Role of Stimulus Duration, Speed, and Emotion.Annett Schirmer, Nicolas Escoffier, Xiaoqin Cheng, Yenju Feng & Trevor B. Penney - 2015 - Frontiers in Psychology 6.
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  40.  44
    Metacognitive errors in change detection: Missing the gap between lab and life.Daniel Smilek, John D. Eastwood, Michael G. Reynolds & Alan Kingstone - 2007 - Consciousness and Cognition 16 (1):52-57.
    Studies of change detection suggest that people tend to overestimate their ability to detect visual changes. In a recent laboratory study of change detection and human intention, Beck et al., found that individuals have an inadequate understanding that intention can improve change detection performance and that its importance increases with scene complexity. We note that these findings may be specific to unfamiliar situations such as those generated routinely in studies of change detection. In two questionnaire studies, we demonstrate (...)
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  41. The relationship between change detection and recognition of centrally attended objects in motion pictures.Bonnie L. Angelone, Daniel T. Levin & Daniel J. Simons - 2003 - Perception 32 (8):947-962.
  42.  33
    Metacognition and change detection: Do lab and life really converge?Daniel Smilek, John D. Eastwood, Michael G. Reynolds & Alan Kingstone - 2008 - Consciousness and Cognition 17 (3):1056-1061.
    Studies of change blindness indicate that more intentional monitoring of changes is necessary to successfully detect changes as scene complexity increases. However, there have been conflicting reports as to whether people are aware of this relation between intention and successful change detection as scene complexity increases. Here we continue our dialogue with [Beck, M. R., Levin, D. T., & Angelone, B. . Change blindness blindness: Beliefs about the roles of intention and scene complexity in change detection. Consciousness (...)
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  43.  57
    False predictions about the detectability of visual changes: The role of beliefs about attention, memory, and the continuity of attended objects in causing change blindness blindness.Daniel T. Levin, Sarah B. Drivdahl, Nausheen Momen & Melissa R. Beck - 2002 - Consciousness and Cognition 11 (4):507-527.
    Recently, a number of experiments have emphasized the degree to which subjects fail to detect large changes in visual scenes. This finding, referred to as “change blindness,” is often considered surprising because many people have the intuition that such changes should be easy to detect. Levin, Momen, Drivdahl, and Simons documented this intuition by showing that the majority of subjects believe they would notice changes that are actually very rarely detected. Thus subjects exhibit a metacognitive (...)
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  44.  16
    Detecting When “Quality of Life” Has Been “Enhanced”: Estimating Change in Quality of Life Ratings.Rochelle E. Tractenberg, Futoshi Yumoto & Paul S. Aisen - 2013 - Open Journal of Philosophy 3 (4):24.
  45.  70
    Familiarity and visual change detection.Harold Pashler - 1988 - Perception and Psychophysics 41:191-201.
  46.  50
    Metacognitive errors in change detection: Lab and life converge.Melissa R. Beck, Daniel T. Levin & Bonnie L. Angelone - 2007 - Consciousness and Cognition 16 (1):58-62.
    Smilek, Eastwood, Reynolds, and Kingstone suggests that the studies reported in Beck, M. R., Levin, D. T. and Angelone, B. A. are not ecologically valid. Here, we argue that not only are change blindness and change blindness blindness studies in general ecologically valid, but that the studies we reported in Beck, Levin, and Angelone, 2007 are as well. Specifically, we suggest that many of the changes used in our study could reasonably be expected to occur in the real world. (...)
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  47.  37
    Anxiety, conscious awareness and change detection.Sally M. Gregory & Anthony Lambert - 2012 - Consciousness and Cognition 21 (1):69-79.
    Attentional scanning was studied in anxious and non-anxious participants, using a modified change detection paradigm. Participants detected changes in pairs of emotional scenes separated by two task irrelevant slides, which contained an emotionally valenced scene and a visual mask. In agreement with attentional control theory, change detection latencies were slower overall for anxious participants. Change detection in anxious, but not non-anxious, participants was influenced by the emotional valence and exposure duration of distractor scenes. When negative distractor scenes were presented (...)
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  48.  72
    Endogenous versus exogenous change: Change detection, self and agency.Bruno Berberian & Axel Cleeremans - 2010 - Consciousness and Cognition 19 (1):198-214.
    The goal of this study is to characterize observers’ abilities to discriminate between endogenous and exogenous changes. To do so, we developed a new experimental paradigm. On each trial, participants were shown a dot pattern on the screen. Next, the pattern disappeared and participants were to reproduce it. Changes were surreptuously introduced in the stimulus, either by presenting participants anew with the dot pattern they had themselves produced on the previous trial or by presenting participants with a slightly (...)
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  49. Memory for centrally attended changing objects in an incidental real-world change detection paradigm.Daniel T. Levin, Daniel J. Simons, Bonnie L. Angelone & Christopher Chabris - 2002 - British Journal of Psychology 93:289-302.
  50.  41
    Is a pre-change object representation weakened under correct detection of a change?☆.Yei-Yu Yeh & Cheng-Ta Yang - 2009 - Consciousness and Cognition 18 (1):91-102.
    We investigated whether a pre-change representation is inhibited or weakened under correct change detection. Two arrays of six objects were rapidly presented for change detection in three experiments. After detection, the perceptual identification of degraded stimuli was tested in Experiments 1 and 2. The weakening of a pre-change representation was not observed under correct detection. The repetition priming effect was observed for a pre-change object and the magnitude was equivalent to the effect for a post-change object. Under change blindness, repetition (...)
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