Results 91 to 100 of about 14,724 (226)

Model‐Based Cybersecurity: Automating Common Vulnerabilities Reporting

Systems Engineering, EarlyView.
ABSTRACT The Common Vulnerabilities and Exposures (CVE) Program's mission is to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. A cybersecurity practitioner who suspects a software, hardware, or service vulnerability, can initiate a CVE‐ID Requesting process, as defined by MITRE.
Ahmad Jbara, Dov Dori
wiley   +1 more source

Distributed computing for the reconstruction of multi‐terabyte tomographic X‐ray imaging datasets

Journal of Synchrotron Radiation, EarlyView.
As tomographic datasets from synchrotrons continue to increase in volume, so rises the challenge of reconstructing said data. Here we present a solution utilizing high‐performance computing capabilities to split the process into multiple smaller tasks, which can be solved without overwhelming a single compute node.
Thorbjørn Erik Køppen Christensen, Frederik Holm Gjørup, Mads Ry Vogel Jørgensen, Adrian Rodriguez-Palomo, Anders Bjorholm Dahl, Innokenty Kantor   +5 more
wiley   +1 more source

Helical reconstruction of amyloids in cryoSPARC

Acta Crystallographica Section F, EarlyView.
We present practical guidelines for helical reconstruction of amyloid filaments in cryoSPARC, benchmarked against publicly available datasets. Our analysis defines current capabilities and limitations, and outlines optimization strategies to enable high‐throughput structural studies and therapeutic discovery.Amyloid‐mediated proteotoxicity underlies ...
Jan-Hannes Schaefer, Robert T. O'Neill, Joseph P. Donnelly, Evan T. Powers, Jeffery W. Kelly, Gabriel C. Lander   +5 more
wiley   +1 more source

Preserving evidence integrity in full file system extractions: Assessing hash inconsistencies and potential solutions

Journal of Forensic Sciences, EarlyView.
Abstract Smartphone manufacturers' enhanced privacy and security measures, such as File‐Based Encryption (FBE), have disrupted traditional data extraction techniques, necessitating the adoption of Full File System Extraction (FFS). FFS requires booting a smartphone, decrypting its UserData partition, and accessing files individually, a process that ...
Sanghyun Yoo, Yunji Park, Doowon Jeong
wiley   +1 more source

Leveraging AI to Capture Textual and Visual Elements: Insights for HRM Research and Practice

Human Resource Management Journal, EarlyView.
ABSTRACT This paper advances Human Resource Management (HRM) scholarship by introducing an accessible method to analyse of both visual and textual social media content in combination. Although HRM studies increasingly mobilise social media data, most approaches remain text‐centric, overlooking the HR‐relevant cues, embedded in images, that can inform ...
Yin Liang, Jeremy Aroles, Yulei Li
wiley   +1 more source

Mothbox and Mothbot: Automated light trap and data processing system for scalable insect monitoring

Methods in Ecology and Evolution, EarlyView.
Abstract Insects represent the most diverse group of organisms on Earth and comprise the majority of known species; yet they are seldom accounted for in large‐scale biodiversity monitoring systems and conservation planning. We have developed the Mothbox—an open source automated light trap that makes insect monitoring accessible to non‐specialists and ...
Hubert A. Szczygieł, Brianna Johns, Bernat Fortet, Daisy H. Dent, Kit Quitmeyer, Andrew Quitmeyer   +5 more
wiley   +1 more source

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

BPMN Assistant: An LLM-Based Approach to Business Process Modeling

Applied Sciences
This paper presents BPMN Assistant, a tool that leverages Large Language Models for natural language-based creation and editing of BPMN diagrams. While direct XML generation is common, it is verbose, slow, and prone to syntax errors during complex ...
Josip Tomo Licardo, Nikola Tanković, Darko Etinger   +2 more
doaj   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models

Computer Graphics Forum, EarlyView.
Abstract Recent advances in Large Language Models have led to Large Reasoning Models, which produce step‐by‐step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively demanding to comprehend ...
L. Felder, J. Miller, M. Wallinger, S. G. Kobourov, C. Chen   +4 more
wiley   +1 more source