The Octocoral Trait Database: a global database of trait information for octocoral species by D. Gómez-Gras, C. Linares, N. Viladrich, Y. Zentner, J. Grinyó, A. Gori, C. S. McFadden, K. E. Fabricius, J. S. Madin

“…To address this gap, we introduce the Octocoral Trait Database, a global, open-source database of curated trait data for octocorals. …”
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Effective Variational Data Assimilation in Air-Pollution Prediction by Rossella Arcucci, Christopher Pain, Yi-Ke Guo

“…To improve prediction for air flows and pollution transport, we propose a Variational Data Assimilation (VarDA) model which assimilates data from sensors into the open-source, finite-element, fluid dynamics model Fluidity. …”
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A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification by Arafat Rahman, Nazmun Nahid, Björn Schuller, Md Atiqur Rahman Ahad

“…We apply this method to two benchmark open-source nurse care activity data sets. Our algorithm is robust enough to recognize both activity and user (Nurse) simultaneously. …”
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Refactoring Android Source Code Smells From Android Applications by Muhammad Fawad, Ghulam Rasool, Muhammad Bilal Riaz

“…When applied to six open-source and two industrial Android applications and evaluated against the ISO/IEC 25010 quality standard, our tool demonstrated considerable improvements: reducing CPU utilization by 15.39%, lowering memory consumption by 12.85%, and enhancing battery efficiency by up to 5.78%. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Enhanced YOLOv8-based method for space debris detection using cross-scale feature fusion by Yang Guo, Xianlong Yin, Yao Xiao, Zhengxu Zhao, Xu Yang, Chenggang Dai

“…The study utilized a dataset comprising astronomical images captured by an open-source large-field-of-view optical telescope. The experimental results show that the detection accuracy and speed of the method are improved, and that they can meet the requirements of space debris detection in complex backgrounds.…”
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Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data by L. Pfitzenmaier, P. Kollias, P. Kollias, N. Risse, I. Schirmacher, B. Puigdomenech Treserras, K. Lamer

“…This work describes the open-source instrument simulator Orbital-Radar, which transforms high-resolution radar data from field observations or forward simulations of numerical models to CPR primary measurements and uncertainties. …”
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End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN by Gabriel David, Emmanuel Faure

“…Our implementation is open source, ensuring reproducibility and facilitating further research in 3D deep learning.…”
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FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

“…At the same time, considering the traceability characteristics of financial industry regulatory requirements, this paper uses the open-source big model DeepSeek. After testing on the BIRD dataset, compared with most NL2SQL models based on large language models, EX is at least 2.73% higher than the original method, F1 is at least 3.72 higher than the original method, and VES is 6.34% higher than the original method. …”
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FastContext: A tool for identification of adapters and other sequence patterns in next generation sequencing (NGS) data by E. Viesná, V. Fishman

“…Despite the simplicity of the algorithm, FastContext may be useful in read structure analysis and, as a result, can help better understand molecular processes that take place at different stages of NGS library preparation. The project is open-source software, distributed under GNU GPL v3, entirely written in the programming language Python, and based on well-maintained packages and commonly used data formats. …”
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A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

“…These results demonstrate that adaptive experiments can enable large-scale unbiased combination drug screens with a relatively small number of experiments. BATCHIE is open source and publicly available ( https://github.com/tansey-lab/batchie ).…”
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Cross-Community Question Relevance Prediction for Stack Overflow and GitHub by Song Yu, Bugao Jiang, Danni Zhang, Zhifang Liao

“…As the open-source community has evolved, Stack Overflow (SO) has gained extensive usage. …”
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The Preventable Risk Integrated ModEl and Its Use to Estimate the Health Impact of Public Health Policy Scenarios by Peter Scarborough, Richard A. Harrington, Anja Mizdrak, Lijuan Marissa Zhou, Aiden Doherty

“…The structure and methods employed in the PRIME are described here in detail, including the development of open source code that will support a PRIME web application to be launched in 2015. …”
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Assessment of Accuracy of Linear Alveolar Ridge Measurements with Different Implant Planning Software Programs by S Savita, Neha Bhutani, Syed Zakaullah, Ramesh Chowdhary, Deepak Kumar, Farha Naaz

“…., commercially available Nobel clinician, inbuilt NNT viewer, and open source Blue sky Bio and compared with clinical method of ridge mapping using bone caliper. …”
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Modular cone-and-plate device for mechanofluidic assays in Transwell inserts by Daniel Chavarria, Kissamy A. Georges, Brian J. O’Grady, Khalid K. Hassan, Ethan S. Lippmann, Ethan S. Lippmann, Ethan S. Lippmann, Ethan S. Lippmann, Ethan S. Lippmann, Ethan S. Lippmann

“…In this work, we present a cost effective and open-source modular cone-and-plate (MoCAP) device that incorporates shear stress in the popular Transwell® insert system. …”
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Trends and disparities in the surgical management of spinal fractures in Sweden during 2008–2023 by Niklas Barle, Michael Axenhus

“…Methods Comprehensive open source data was obtained from the Swedish National Board of Health and Welfare. …”
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Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…This highlights the potential of our approach in addressing the challenges presented by the ever-expanding landscape of genomic data. supersampler is an open-source software and can be accessed at https://github.com/TimRouze/supersampler . …”
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A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM) by James E. Gallagher, Aryav Gogia, Edward J. Oughton

“…This research greatly contributes to the study of multispectral object detection by providing a novel and open-source method to rapidly segment, label, and train multispectral object detection models with minimal human interaction. …”
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An integrated toolbox for creating neuromorphic edge applications by Lars Niedermeier, Nikil Dutt, Jeffrey L Krichmar

“…It extends the highly efficient CARLsim open-source SNN simulator. CARLsim++ encapsulates the mathematical intrinsics and low-level C++ programming by providing a graphical user interface for users to easily create their SNNs and a means to configure sensors and actuators for robotics and other edge devices. …”
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A Modular AI-Driven Intrusion Detection System for Network Traffic Monitoring in Industry 4.0, Using Nvidia Morpheus and Generative Adversarial Networks by Beatrice-Nicoleta Chiriac, Florin-Daniel Anton, Anca-Daniela Ioniță, Bogdan-Valentin Vasilică

“…This paper presents an approach for implementing a generic model of a network-based intrusion detection system for Industry 4.0 by integrating the computational advantages of the Nvidia Morpheus open-source AI framework. The solution is modularly built with two pipelines for data analysis. …”
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