scholarly journals Rosalind Brown-Grant, Visualizing Justice in Burgundian Prose Romance. Text and Image in Manuscripts of the Wavrin Master (1450s-1460s),

2021 ◽  
Author(s):  
Maria Colombo Timelli
Keyword(s):  
Text And Image ◽  
Prose Romance

Indian Horse

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Casey Shea Pollon
Keyword(s):  
University Students ◽  
Key Words ◽  
Point Of View ◽  
Main Element ◽  
Text And Image ◽  
Design Studies ◽  
Visual Form ◽  
Diploma Program

Type as Image: Eliciting Emotions is a project of VCDE233 Typography II (Constanza Pacher) and VCDI223 Design and Pre-Press Production (Jess Dupuis), both courses in the Design Studies Diploma Program at MacEwan University. Students were asked to capture the essence of the book Indian Horse, by Richard Wagamese, and translate it into a three-poster series using typography as the main element. Under the premise that the visual form is dictated by the content, students were encouraged to analyze plot, characters, point of view, imagery, tone, themes and symbolism to extract key words, sentences and passages as the basis for their designs. Students were asked to challenge literal interpretations by exploring the use of expressive typography and text and image relationships.

scholarly journals The Study of Multiple Classes Boosting Classification Method Based on Local Similarity

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 37
Author(s):  
Shixun Wang ◽  
Qiang Chen
Keyword(s):  
Image Retrieval ◽  
Loss Function ◽  
Single Mode ◽  
Local Similarity ◽  
Text And Image ◽  
Data Set ◽  
Standard Data ◽  
Weak Learner ◽  
Great Progress ◽  
Data Points

Boosting of the ensemble learning model has made great progress, but most of the methods are Boosting the single mode. For this reason, based on the simple multiclass enhancement framework that uses local similarity as a weak learner, it is extended to multimodal multiclass enhancement Boosting. First, based on the local similarity as a weak learner, the loss function is used to find the basic loss, and the logarithmic data points are binarized. Then, we find the optimal local similarity and find the corresponding loss. Compared with the basic loss, the smaller one is the best so far. Second, the local similarity of the two points is calculated, and then the loss is calculated by the local similarity of the two points. Finally, the text and image are retrieved from each other, and the correct rate of text and image retrieval is obtained, respectively. The experimental results show that the multimodal multi-class enhancement framework with local similarity as the weak learner is evaluated on the standard data set and compared with other most advanced methods, showing the experience proficiency of this method.

Chaotic Jerk System with Hump Structure for Text and Image Encryption Using DNA Coding

2021 ◽  
Author(s):  
V. R. Folifack Signing ◽  
T. Fozin Fonzin ◽  
M. Kountchou ◽  
J. Kengne ◽  
Z. T. Njitacke
Keyword(s):  
Image Encryption ◽  
Text And Image ◽  
Dna Coding ◽  
Jerk System

scholarly journals The impact of theory-based messages on COVID-19 vaccination intentions: a structured summary of a study protocol for a randomised controlled trial

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ben Young ◽  
Marie Kotzur ◽  
Lauren Gatting ◽  
Carissa Bonner ◽  
Julie Ayre ◽  
...  
Keyword(s):  
Online Survey ◽  
Controlled Trial ◽  
Significant Proportion ◽  
General Information ◽  
School Level ◽  
Text And Image ◽  
Post Intervention ◽  
Full Protocol ◽  
The Impact ◽  
Illness Coherence

Abstract Objectives Uptake of vaccination against COVID-19 is key to controlling the pandemic. However, a significant proportion of people report that they do not intend to have a vaccine, often because of concerns they have about vaccine side effects or safety. This study will assess the impact of theory-based messages on COVID-19 vaccination intention, drawing on the Necessity-Concerns framework to address previously reported beliefs and concerns about COVID-19 vaccination, and assess whether hypothesised variables (illness coherence, perceived necessity and concerns) mediate change in vaccination intention. Trial design Prospective, parallel two-arm, individually randomised (1:1) trial. Participants Adults aged over 18 years, living in Scotland and not vaccinated for COVID-19. A quota sampling approach will be used with the aim of achieving a nationally representative sample on gender, region and ethnic group, with oversampling of individuals with no educational qualifications or with only school-level qualifications. Intervention and comparator Intervention: Brief exposure to online text and image-based messages addressing necessity beliefs and concerns about COVID-19 vaccination. Comparator: Brief exposure to online text and image-based messages containing general information about COVID-19 and COVID-19 vaccination. Main outcomes Primary outcome: Self-reported intention to receive a vaccine for COVID-19 if invited, immediately post-intervention. Secondary outcomes: Self-reported COVID-19 illness coherence, perceived necessity of a COVID-19 vaccine and concerns about a COVID-19 vaccine, immediately post-intervention. Randomisation Quasi-randomisation performed automatically by online survey software, by creating a variable derived from the number of seconds in the minute that the participant initiates the survey. Participants starting the survey at 0-14 or 30-44 seconds in the minute are allocated to the intervention and 15-29 or 45-59 seconds to the comparator. Blinding (masking) Participants will not be blinded to group assignment but will not be informed of the purpose of the study until they have completed the follow-up survey. Investigators will be blinded to allocation as all procedures will be undertaken digitally and remotely without any investigator contact with participants. Numbers to be randomised (sample size) A total of 1,094 will be randomised 1:1 into two groups with 547 individuals in each. Trial Status Protocol version number 1.0, 26th February 2021. Recruitment status: Not yet recruiting, set to start April 2021 and end April 2021. Trial registration ClinicalTrials.gov, NCT04813770, 24th March 2021. Full protocol The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

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