Expressive Writing Disorders: An Analysis of Theoretical Views

2003 ◽  
Vol 96 (2) ◽  
pp. 528-538 ◽  
Author(s):  
Thomas G. Bowers ◽  
Jodie DeMulder ◽  
Donna Marie Struck ◽  
Brian Bedard
Keyword(s):  
Expressive Writing ◽  
Sequential Analysis ◽  
Analysis Model ◽  
Writing Difficulties ◽  
Academic Difficulties ◽  
Global Theory ◽  
Attention Model ◽  
Memory And Attention ◽  
Writing Scores ◽  
Significant Support

Three prominent theories of writing were found in a literature review of Psychlit, educational journals and Medline, and a fourth global theory relating writing to intact cerebral integrity was also hypothesized. These theories were then tested by attempting to predict writing scores among a sample of 44 individuals with academic difficulties. Significant support was found for a memory and attention model, the dysgraphia model, and an abstract sequential analysis model. Surprisingly, measures of the overall cortical integrity were not significantly related to writing behavior in this sample, but this finding may reflect excluding brain damaged subjects in this study. Also, the abstract sequential analysis model appeared to function differently than expected. The results indicate it is important to assess the cognitive contributions of writing difficulties to guide remediation. Larger scale research on the sources of writing disorders is also recommended.

scholarly journals Recognising the dynamic form of fire

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fintan Nagle ◽  
Alan Johnston
Keyword(s):  
Sequential Analysis ◽  
Recognition Performance ◽  
Human Vision ◽  
Sequence Length ◽  
False Alarms ◽  
Analysis Model ◽  
Sequence Recognition ◽  
Asymmetric Pattern ◽  
Dynamic Form ◽  
Decision Making Model

AbstractEncoding and recognising complex natural sequences provides a challenge for human vision. We found that observers could recognise a previously presented segment of a video of a hearth fire when embedded in a longer sequence. Recognition performance declined when the test video was spatially inverted, but not when it was hue reversed or temporally reversed. Sampled motion degraded forwards/reversed playback discrimination, indicating observers were sensitive to the asymmetric pattern of motion of flames. For brief targets, performance increased with target length. More generally, performance depended on the relative lengths of the target and embedding sequence. Increased errors with embedded sequence length were driven by positive responses to non-target sequences (false alarms) rather than omissions. Taken together these observations favour interpreting performance in terms of an incremental decision-making model based on a sequential statistical analysis in which evidence accrues for one of two alternatives. We also suggest that prediction could provide a means of providing and evaluating evidence in a sequential analysis model.

Resistance to Extinction: A Test of the Discrimination Hypothesis

1978 ◽  
Vol 42 (1) ◽  
pp. 91-97 ◽  
Author(s):  
Richard A. Dubanoski ◽  
Howard R. Weiner
Keyword(s):  
Partial Reinforcement Effect ◽  
Sequential Analysis ◽  
Critical Factor ◽  
Partial Reinforcement ◽  
Initial Training ◽  
Reinforcement Effect ◽  
Analysis Model ◽  
Continuous Reinforcement ◽  
Resistance To Extinction ◽  
Discrimination Hypothesis

To test the discrimination hypothesis of the partial reinforcement effect in extinction, partial or continuous reinforcement trials were interpolated between the initial training trials of partial or continuous reinforcement and the extinction period. 112 children from Grades 2 and 3 participated in one of four conditions. Children receiving two consecutive blocks of partial reinforcement showed the greatest resistance to extinction, children receiving two consecutive blocks of continuous reinforcement showed the weakest resistance, and those receiving partial reinforcement followed by continuous reinforcement or vice versa showed intermediate levels of resistance. Discrimination between training and extinction does not seem to be the critical factor involved in the partial reinforcement effect. The results were discussed in terms of a stimulus analyzer or a sequential analysis model.

scholarly journals The Topological Reading of Ambiances in the Built Environment: The New Methodology for the Analysis of the Luminous Ambiance in the Museum Space

2019 ◽  
Vol 64 ◽  
pp. 03004
Author(s):  
Selma Saraoui ◽  
Azeddine Belakehal ◽  
Abdelghani Attar ◽  
Amar Bennadji
Keyword(s):  
Sequential Analysis ◽  
Euclidean Geometry ◽  
Essential Element ◽  
Analysis Model ◽  
Architectural Space ◽  
Spatial Features ◽  
Non Euclidean Geometry ◽  
Metric Dimensions ◽  
Definition Of ◽  
Shed Light

Daylight is currently at the centre of discourse on architectural space. The definition of architectural space takes essence from Euclidean geometry related to metric dimensions. The present study is an attempt to shed light on topology which is a non-Euclidean geometry. It can support non-metric components of space such as light to define architectural space. A corpus of six European museums has been chosen to study the immaterial or material relationships between form and daylight, since light is an essential element for the success of the exhibition. It also seeks to highlight discontinuity reports, and to confirm their existence through their software visualizations Therefore, the current study has taken into account an analysis model based on the notions of "route" and "sequence". The contemporary architectural project focused on taking into account human postures, both physical and psychological, within the architectural space. The results obtained show that light can release other spatial features for the museum space that can be highlighted by visualization with sequential analysis.

Expressive Writing Difficulties in Children Described as Exhibiting ADHD Symptoms

2007 ◽  
Vol 40 (3) ◽  
pp. 244-255 ◽  
Author(s):  
Anna Maria Re ◽  
Martina Pedron ◽  
Cesare Cornoldi
Keyword(s):  
Expressive Writing ◽  
Adhd Symptoms ◽  
Writing Difficulties

A Mixed Deep Learning Based Model to Early Detection of Depression

2020 ◽  
Author(s):  
Boumahdi Fatima ◽  
Madani Amina ◽  
Rezoug Nachida ◽  
Hentabli Hamza
Keyword(s):  
Deep Learning ◽  
Extraction Process ◽  
Word Embeddings ◽  
Learning Models ◽  
Analysis Model ◽  
Test Set ◽  
Attention Model ◽  
Social Media Platforms ◽  
Deep Learning Model ◽  
Detection Of Depression

Mental health is considered as one of today’s world’s most prominent plagues. Therefore, our work aims to use the potential of social media platforms to solve one of mental health’s biggest issues, which is depression identification. We propose a new deep learning model that we train on a depression-dedicated dataset in order to detect such mental illness from an individual’s posts. Our main contributions lie in the three following points: (1) We trained our own word embeddings using a depression-dedicated dataset. (2) We combined a Convolutional Neural Networks model with the Message-level Sentiment Analysis model in order to improve the feature extraction process and enhance the model’s performance. (3) We analyzed through different experiments the performance of three deep learning models in order to provide more perspectives and insights for depression researches. A total of four classifier models were deployed with the same dataset. Those implementing CNN-BiLSTM with Attention model attained greater overall Accuracy, Recall, Precision and F1 macro scores of 0.97, 0.95, 0.84 and 0.92 on the final assessment test set, respectively.

TP6.1.8 Meta-analysis and trial sequential analysis of three-port versus four-port laparoscopic cholecystectomy (Level 1 Evidence)

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Shahab Hajibandeh ◽  
David A Finch ◽  
Shahin Hajibandeh ◽  
Thomas Satyadas
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Hospital Stay ◽  
Sequential Analysis ◽  
Meta Analysis ◽  
Length Of Hospital Stay ◽  
Trial Sequential Analysis ◽  
Analysis Model ◽  
Visceral Injury ◽  
Open Operation ◽  
Level 1

Abstract Aims to compare the outcomes of three-port and four-port laparoscopic cholecystectomy. Methods In compliance with PRISMA statement standards, electronic databases were searched to identify all comparative studies investigating outcomes of three-port versus four-port laparoscopic cholecystectomy. Two techniques were compared using direct comparison meta-analysis model. The risks of type 1 or type 2 error in the meta-analysis model were assessed using trial sequential analysis model. The certainty of the available evidence was assessed using GRADE system. Random effects modelling was applied to calculate pooled outcome data. Results Analysis of 2524 patients from 17 studies showed that three-port and four-port laparoscopic cholecystectomy techniques were comparable in terms of operative time (MD:-0.13,P=0.88), conversion to open operation (OR:0.80,P=0.43), gallbladder perforation (OR:1.43,P=0.13), bleeding from gallbladder bed (OR: 0.81, P = 0.34), bile duct injury (RD: 0.00, P = 0.97), iatrogenic visceral injury (RD:-0.00,P=0.81), bile or stone spillage (OR:1.67,P=0.08), port site infection (OR:0.90,P=0.76) and need for reoperation (RD:-0.00,P=0.94). However, the three-port technique was associated with lower VAS pain score at 12 hours (MD:-0.66,P<0.00001) and 24 hours (MD:-0.54,P<0.00001) postoperatively, shorter length of hospital stay (MD: -0.09, P = 0.41), and shorter time to return to normal activities (MD:-0.79,P=0.02). Conclusions Robust evidence (Level 1 with high certainty) suggests that in an elective setting with uncomplicated cholelithiasis as indication for cholecystectomy, three-port laparoscopic cholecystectomy is comparable with the four-port technique in terms of procedural and morbidity outcomes and may be associated with less postoperative pain, shorter length of hospital stay and shorter time to return to normal activities.

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