Methods of Creating Creativity through De-familiarization Technique and the Role of the Audience in Interactive Graphics

The theory of de-familiarization was first introduced in the field of literature and later due to its consistency and maturity, it was also studied in other fields and branches of art. The basis of interactive graphics is based on inviting the audience in the process of forming the work, and the de- familiarization technique can provide a platform for more creativity and interaction. The purpose of this study is to identify ways to create creativity through de-familiarization techniques and the role of the audience in interactive graphics. The question of what interactive graphics is and why they are formed is one of the issues that this research seeks to address. The main question of this article is how interactive graphics can create creative works to attract the audience through the familiarization technique? To achieve the desired goals, a qualitative research method with a descriptive-analytical nature was adopted and the studied works, which were collected through library resources, were analyzed by qualitative content analysis. The results showed that interactive graphic designers can create more creative and interactive works in the field of graphics through various methods of de- familiarization.

Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0

Glimma 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Here, we present a major update to Glimma that brings improved interactivity and reproducibility using high-level visualization frameworks for R and JavaScript. Glimma 2.0 plots are now readily embeddable in R Markdown, thus allowing users to create reproducible reports containing interactive graphics. The revamped multidimensional scaling plot features dashboard-style controls allowing the user to dynamically change the colour, shape and size of sample points according to different experimental conditions. Interactivity was enhanced in the MA-style plot for comparing differences to average expression, which now supports selecting multiple genes, export options to PNG, SVG or CSV formats and includes a new volcano plot function. Feature-rich and user-friendly, Glimma makes exploring data for gene expression analysis more accessible and intuitive and is available on Bioconductor and GitHub.

Role of social media in the health awareness about coronavirus (COVID-19)

The study aimed to identify the extent of the role of social media sites in health awareness of the emerging corona virus (COVID-19), as the researcher used the descriptive analytical method, and designed a content analysis form as a tool to collect data, and a purposive sample of (121) publications was selected to raise awareness of the emerging corona virus (COVID- 19), on the page of the Sudanese Federal Ministry of Health on Facebook, and the study showed many results, the most important of which are: The Sudanese Federal Ministry of Health page publications lack interest in the diversity of multimedia and its balanced use, as it relied heavily on the text attached to the illustrations specifically (logos) The hashtag in displaying the page’s posts for health awareness of the emerging corona virus (COVID-19) ranked first with a percentage of (61.16%), and the results showed the Sudanese Federal Ministry of Health page’s lack of focus in its publications on the topics, health advice and preventive measures, as it came at a rate of (9.09%), while it came The percentage of user interaction with the page's posts that exceeded 951 or more was in favor of the number of likes, which came at (71.07%), while the most important recommendations of the study were: Paying attention to issues related to health guidelines and preventive measures in most of the study page's publications, taking advantage of the possibilities and characteristics of multimedia and employing them in balanced and attractive images, especially visual, audio and static, animated and interactive graphics, which contributes to the diversity of methods of displaying the study page publications to raise awareness of the emerging Coronavirus (COVID-19 The page of the Sudanese Federal Ministry of Health should also pay attention to the diversity of its media sources in all posts.

Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0

Glimma 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Here, we present a major update to Glimma which brings improved interactivity and reproducibility using high-level visualisation frameworks for R and JavaScript. Glimma 2.0 plots are now readily embeddable in R Markdown, thus allowing users to create reproducible reports containing interactive graphics. The revamped multidimensional scaling plot features dashboard-style controls allowing the user to dynamically change the colour, shape and size of sample points according to different experimental conditions. Interactivity was enhanced in the MA-style plot for comparing differences to average expression, which now supports selecting multiple genes, export options to PNG, SVG or CSV formats and includes a new volcano plot function. Feature-rich and user-friendly, Glimma makes exploring data for gene expression analysis more accessible and intuitive and is available on Bioconductor and GitHub.

Special Issue: Musculoskeletal Models in a Clinical Perspective

After the pioneering work of Scott Delp and colleagues dated 1990 (An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures, [...]

Quantifying VR cybersickness using EEG

Current techniques for characterizing cybersickness (visually induced motion sickness) in virtual environments rely on qualitative questionnaires. For interactive graphics to create visual experiences that enhance the illusion of presence while mitigating cybersickness, interactive measures are needed to characterize cybersickness. In this paper, we acquire EEG signals from participants as they experience vection-induced cybersickness and compare those signals to a baseline. Our study shows that there is a correlation between the participant-reported cybersickness (as measured by movements of a joystick) and brain EEG signals. Through independent component analysis, we separate those signals which are a result of cybersickness from other sources (such as eye blinks). Our user study finds that there is a highly correlative and statistically significant Delta- (1.0–4.0 Hz), Theta- (4.0–7.0 Hz), and Alpha-wave (7.0–13.0 Hz) increase associated with cybersickness in immersive virtual environments across participants. Establishing a strong correlation between cybersickness and EEG-measured brain activity provides us with the first step toward interactively characterizing and mitigating cybersickness in virtual environments.

Free Open Source Software for Protein and Peptide Mass Spectrometry-based Science

: In the field of biology, and specifically in protein and peptide science, the power of mass spectrometry is that it is applicable to a vast spectrum of applications. Mass spectrometry can be applied to identify proteins and peptides in complex mixtures, to identify and locate post-translational modifications, to characterize the structure of proteins and peptides to the most detailed level or to detect protein–ligand non-covalent interactions. Thanks to the Free and Open Source Software (FOSS) movement, scientists have limitless opportunities to deepen their skills in software development to code software that solves mass spectrometric data analysis problems. After conversion of raw data files to open standard format files, the entire spectrum of data analysis tasks can now be performed integrally on FOSS platforms, like GNU/Linux, and only with FOSS solutions. This review presents a brief history of mass spectrometry open file formats and goes on with the description of FOSS projects that are commonly used in protein and peptide mass spectrometry fields of endeavor: identification projects that involve mostly automated pipelines, like proteomics and peptidomics, and bio-structural characterization projects that most often involve manual scrutiny of the mass data. Projects of the last kind usually involve software that allows the user to delve into the mass data in an interactive graphics-oriented manner. Software projects were thus categorized on the basis of these criteria: software libraries for software developers vs desktop-based graphical user interface, software for the end user and automated pipeline-based data processing vs interactive graphics-based mass data scrutiny.