Skip to content
#software testing Open access

New Approaches to Fast Plate Composition, with a Software Implementation for Taxonomy

Aug 2026 · bioRxiv · 0 citations · 26 references
Biology

TL;DR

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.

Read PDF

Similar papers

#software testing Review Aug 2026

Model-Based Agentic Software Engineering

MAGE explains how externalized knowledge, bounded action, independent evaluation, and retained human authority can compose into a governed engineering environment, and proposes tests of when that environment turns commodity intelligence into durable engineering progress.

James C. Davis, Kelechi G. Kalu, Huiyun Peng et al. · 1 citation
#software testing Preprint Aug 2026

Evaluating Inference-Time Defenses Against Package Hallucination in LLM-Generated Code

LLMs are increasingly used for code generation, yet they frequently hallucinate non-existent software packages, creating exploitable entry points into the software supply chain. We make four contributions to this problem. First, we show that prior evaluation methodologies systematically inflate hallucination rates by misclassifying standard-library modules as hallucinations in some languages. For Python, the overestimation reaches 9.4 percentage points. Second, we evaluate seven inference-time defenses for mitigating package hallucinations, including five guided decoding strategies (Greedy, Contrastive, DoLa, Nudging, and Active Layer-Contrastive Decoding), an iterative self-refinement approach (Self-Refine), and a Retrieval-Augmented Generation (RAG)-based defense.. Across eight models spanning five families and four programming languages (Python, JavaScript, Ruby, Rust), RAG reduces the package hallucination rate (PHR) in 18 of 32 model--language configurations. Third, we introduce Package Utility (PU) to assess whether defenses preserve valid and task-relevant recommendations. Among strategies evaluated, Greedy decoding provides the strongest average mitigation--utility trade-off. Fourth, we stress-test all strategies under adversarial prompts seeded with fabricated package names and find that PHR surges by up to 45 percentage points relative to standard prompts, with Ruby consistently the most vulnerable language (80.9--95.2\%). Under adversarial conditions, RAG and Self-Refine outperform all decoding-only strategies, indicating that robust defense requires either external grounding or iterative self-verification when prompts are actively hostile. Our results recast package hallucination as both a measurement problem and a decoding-time control problem, and they demonstrate that the choice of defense must be matched to the threat model and recommendation utility.

Albérick Euraste Djiré, Iyiola E. Olatunji, Melissa Tessa et al. · 1 citation
#software testing Open access Aug 2026

HawkEye: Web Vulnerability Analysis and Security Audit Tool

HawkEye is introduced, a modular, web-based vulnerability auditing platform designed to streamline security analysis by integrating multiple scanning tools within a unified dashboard and illustrates how consolidated reporting improves vulnerability prioritization for development teams.

D. R. Patil, Varad Salgare, Devaj Arya et al. · 0 citations
#software testing Review Open access Sep 2026

Application for Tracking Bugs in Software Development: Improving Project Management Efficiency

By streamlining workflows and fostering collaboration, this platform offers a scalable, cost- effective solution for SMEs and contributes to software engineering by demonstrating how integrated technologies can modernize development processes in resource limited contexts, with potential for broader adoption in Albania and beyond.

Griselda Belba TRUPJA, Agim Kasaj · 0 citations
#software testing Open access Sep 2026

Prevalence of non-union complication in femoral shaft fracture patients who underwent IM nailing surgery in Fatemi Hospital Ardabil.

The findings of the present study indicated that potential complications such as delayed union, nonunion, and osteomyelitis in the intramedullary nailing method are approximately comparable to those of the external fixator method.

Reza Noktesanj, Ali Nami, F. Amani et al. · 0 citations

Related blog posts

MIT News · Artificial Intelligence Aug 17, 2026

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.