New approaches are proposed to simplify and formalize multi-panel figure composition, emphasizing rapid layout construction and experimentation while maintaining explicit control over publication parameters.
Abstract
The preparation of multi-panel figures remains a labor-intensive step in scientific publication, particularly in image-intensive fields such as zoological taxonomy. Although many tools are available, they are generally either general-purpose applications or highly specialized solutions that may be difficult to install or time-consuming to learn. Here, new approaches are proposed to simplify and formalize multi-panel figure composition, emphasizing rapid layout construction and experimentation while maintaining explicit control over publication parameters. These include spatial inference of intended layouts from the distribution of images on a canvas, editable formulas for representing and modifying layout structure, integrated operations for image arrangement and transformation, and automated procedures for figure numbering, scale-bar calculation, and legend generation. The approaches are implemented and tested in Griphus, a standalone graphical application developed by and for zoological taxonomists. User-defined parameters such as target print dimensions, resolution, spacing, and color mode are maintained throughout the work, while layouts can be interactively constructed, modified, rotated, and regenerated. The resulting composite figure is accompanied by a readable representation of its layout structure and a .gri session file storing images, transformations, and parameters for exact regeneration. Griphus thus provides a practical implementation of the proposed approaches and a complementary environment to professional image-editing software for efficient, reproducible, and exploratory construction of publication-quality multi-panel figures.
Artic is proposed, an artifact-driven workflow compiler that transforms a natural-language workflow into an artifact-driven workflow in which each step declares the artifacts it reads and writes, constraints gate produced artifacts, and explicit control transfers route execution.
Xiangzhe Xu, Hanxi Guo, Guangyu Shen et al.· 0 citations
An audit-and-placebo protocol is proposed that separates verifier artifacts, interaction scaffolding, and grounded feedback credit in evaluations of self-evolving test generators in evaluations of self-evolving test generators.
Yunhao Liang, Chengguang Gan, Ruixuan Ying et al.· 0 citations
This study examined whether introductory Qiskit homework could remain autogradable while requiring students to run, review, and discuss results rather than banning AI.
This prototype MRG image translocation software was helpful to 69% of patients with binocular diplopia, but limited by large angle strabismus because of the limited instrument field of view.
Edsel B Ing, Kevin Sha, Sarosh Dandoti et al.· Journal of neuro-ophthalmolo...· 0 citations
A diagnostic support system based on a unified web platform that classifies patients according to the risks of developing three diseases based on regularly collected clinical or audio data using classical supervised learning algorithms is presented.
Vedamurthy D R, Dr. Anup Ritti, A. Bibi et al.· International Journal for Re...· 0 citations
A high initial investment in acquiring environmentally friendly products can discourage
institutions from adopting them. This study explored the extent to which eco-friendly products
contribute to supply chain resilience and operational performance at the Nigerian Maritime
University. The study employed a quantitative survey method administering a sample of 303copies
questionnaire to the staff of the organization using a stratified sampling technique. The hypotheses
were tested and analyzed using a regression method with the aid of Minitab software. The
regression analysis indicates eco-friendly products significantly relates to operational efficiency
in Nigerian Maritime University, South-South Nigeria. The model regression indicates (R² = 99.20,
B = 1.039, β = 0.0162, p = 0.000); indicating that the model is a good fit. The coefficient 1.0399
is highly significant (p < 0.001). This indicates a positive and strong effect, explaining that for
every one-unit increase in eco-friendly products, the operational efficiency increases by
approximately 1.039 units. The NOVA result confirms F = 4117.07, p < 0.001. The study
concludes that the adoption of eco-friendly products plays a significant and positive role in
enhancing organizational sustainability performance or resilience. Organizations should embed
eco-friendly product selection into their procurement guidelines to promote sustainable
operations. Management should invest in environmentally friendly technologies and capacity
building initiatives to support the transition to sustainable practices.
Ikenna Christopher Ugwu· IIARD International Journal...· 0 citations
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