23 papers · ranked by Valyu relevance
Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas, Michail A. Makridis
Traffic microsimulation software such as SUMO generate rich spatio-temporal data describing individual vehicle movements, interactions, and support the development of control strategies. While numerical outputs and 2D visualisations are sufficient for many technical analyses, they are often inadequate for applications…
Alexander Muacevic, John R Adler, Aviraj K.S., Sumana Mukhopadhyay + 4 more
Qualitative meta-synthesis, the interpretive counterpart of systematic review, integrates findings from multiple qualitative studies to generate deeper insights into complex health phenomena. Visualisation techniques enhance the interpretability of such syntheses by transforming textual data into clear, relational, and…
Evelyn Jade, Emma L. Scotter
In the genomics age, enormous volumes of DNA sequencing information are continuously produced and analysed. Pipelines for processing DNA information are widespread and mature. However, tools for rendering sequence and methylation information can be limited, often resulting in authors taking varied, manual approaches to…
Emma Gairin, Vincent Laudet, Marcela Herrera
Interpreting high-dimensional omics datasets requires visualisation tools that reveal coordinated responses across multiple biological processes. Existing approaches such as heatmaps or enrichment plots typically present processes independently and struggle to convey system-level patterns as experimental complexity…
Kahina Amara, Oussama Kerdjidj, Mohamed Amine Guerroudji, Shadi Atalla + 3 more
Cardiovascular diseases are among the most prevalent global health conditions, making the accurate diagnosis and classification of cardiac abnormalities crucial for effective treatment and patient management. While the electrocardiogram (ECG) is the primary tool for assessing cardiac electrical activity, its manual…
Marian Marchiori, Josef Heidler, Gaia Segantin, Henrik R. Eckmann + 3 more
Background Regular Physical Activity (PA) is important for disease prevention and health promotion. PA has been assessed through surveys, questionnaires, and devices such as accelerometers. Alongside PA, Sedentary Behaviour (SB) and sleep are the main components of 24/7 movement behaviours, and their adequate…
Muhammad Zain Butt, Rana Sheraz Ahmad, Eman Fatima, Muhammad Tahir ul Qamar
The application of Large Language Models (LLMs) for generating data visualizations through natural language interaction represents a promising advance in AI-assisted scientific analysis. However, existing LLM-based tools largely emphasize graph generation, while research workflows require not only visualization but…
Liza Hadley, Nick Holliman, Kai Xu, Edyta Bogucka + 5 more
Communicating scientific ideas to policy actors is a longstanding challenge, especially in epidemiological modeling where evidence is inherently uncertain. Central to this communication is visualization-the graphic representation of complex epidemiological modeling concepts through figures, plots, and charts. Effective…
Clareece R. Nevill, Hannah Cooper, Barbara Czyznikowska, Louise Fairgrieve + 7 more
2.3.1#### Stage 1: Piloting a Visualisation As an initial step, two visualisations for the term ‘Bayesian’ were developed by the graphic designer. ‘Bayesian’ was identified during the glossary development as a starting point by the working group, as they felt it was a term that would lend itself to a visual definition…
Dibyayan Patra, Simit Raval, Pasindu Ranasinghe, Bikram Banerjee + 1 more
The effectiveness of rock support in underground mines depends on the interaction between installed rock bolts and the structural fabric of the surrounding rock mass. However, discontinuity characterisation and rock bolt identification are commonly treated as separate tasks, limiting their value for integrated support…
Jie Guo, Huiyuan Shi, Yucheng Kong, Jiazhen Du + 3 more
The intersection between mental maps and visualization has attracted increasing research attention in recent years, as they exhibit a natural functional complementarity. Mental maps research explores how humans construct in-mind representations of the external world through the view of cognitive science, while…
Eamon McAndrew, Anna Diamant, Georges Vassaux, Pascal Barbry + 1 more
Single-cell RNA sequencing and spatial transcriptomics have transformed our understanding of the transcriptional landscape by enabling high-resolution profiling of gene expression. Yet most experimental pipelines and their associated analysis frameworks collapse transcript diversity into gene-level counts, obscuring…
Authors not listed
For decades, molecular visualization software has been fundamental to education and research in chemistry, structural biology, and materials science. These tools have enabled the inspection of structures, dynamics, and interactions, yet their reliance on two-dimensional (2D) interfaces imposes persistent limitations.…
Harriet Mason, Dianne Cook, Sarah Goodwin, Susan VanderPlas
Random variables are the bread and butter of statistics, and visualisations are one of the most versatile tools in the field, so it is a wonder why we do not have a methodology for visualising random variables. This gap is particularly evident for exploratory data analysis (EDA). We address this gap by designing a…
Muna Alebri, Noëlle Rakotondravony, Yassine Bechqito, Georgia Panagiotidou + 3 more
Design guidelines and best practices serve as references that support designers throughout the visualisation design process. While considerable effort has identified the elements that contribute to effective data visualisations, little attention has been paid to how language (scripts and reading direction), tool…
Authors not listed
Here, we present MolPic, an open-source Python-based software that can be used to generate high-resolution, publication-quality molecular figures directly from compound names or SMILES strings. MolPic supports single-molecule rendering, batch processing, and automated multi-panel 2D figure generation, which are…
Zirui Shan, Vanessa Echeverria, Yuheng Li, Yi-Shan Tsai + 1 more
In today's data-driven world, students often struggle with interpreting visualisations due to limited visualisation literacy. Data comics have emerged as a promising medium to enhance engagement and understanding, but their educational value has seen little empirical examination, partly due to the effort required to…
Authors not listed
We introduce an open-source program that converts molecular dynamics trajectories into disconnectivity graphs, providing a concise and interpretable visualisation of the energy landscape that has been traversed. Our approach applies Savitzky–Golay smoothing to per-frame thermodynamic traces (potential energy in NVE/NVT…
Fazilet Zeynep Yildirim-Keles, Rahel Aschwanden, Bilge Sayim
Title: Summary Visual perception is fundamentally limited by crowding, the impairment of object recognition by nearby elements. Previous work has shown that crowding can be alleviated through long-range grouping mechanisms: Visual discrimination improved when a crowded peripheral target matched the centrally presented…
Authors not listed
Next Generation Risk Assessment (NGRA) promotes animal-free, exposure-informed, and hypothesis-driven approaches to chemical safety assessment. In silico tools, such as quantitative structure-activity relationship (QSAR) models, are valuable new approach methodologies (NAMs) for use in NGRA. However, the practical…
Claire Vanbuckhave, Giorgio Ganis
Previous studies suggest that visual mental imagery (VMI) acts as a weaker form of top-down visual perception (VP), with the two becoming more similar as VMI vividness increases. However, this relationship remains ill-defined, and it is unclear precisely how much weaker VMI is relative to VP. Here, we introduce an…
Authors not listed
We present graphRC, a graph-based method for rapid transition state (TS) mode analysis that provides chemical insight along normal mode displacements and reaction coordinate trajectories by translating Cartesian displacements into meaningful internal coordinate changes. Internal coordinates are constructed using…
Authors not listed
Understanding how plants respond to dynamic and spatially variable stimuli is a key goal in plant sciences. Traditional imaging methods often involve a trade-off between environmental control and spatial resolution, limiting their ability to capture real-time responses in high resolution. Microfluidic technology…