Development and implementation of an electronic health record system for use in humanitarian emergencies, disaster response, and conflict zones. by Sarah D Draugelis, Erik C Brown, Donald A Donahue, Justin Hickman, Sean G Smith, Philip Sutherland, George A Yendewa, Amir M Mohareb

“…The Fast Electronic Medical Record (fEMR) system is an open-source electronic health record system specifically designed for use in resource-limited settings and humanitarian crises. …”
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Toward Semantic Event-Handling for Building Explainable Cyber-Physical Systems by Gernot Steindl, Tobias Schwarzinger, Katrin Schreiberhuber, Fajar J. Ekaputra

“…Two case studies in the smart building and smart grid domain are carried out to demonstrate the feasibility and efficacy of the approach, utilizing an open-source software stack for the prototypical implementation. …”
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Auxo: A Temporal Graph Management System by Wentao Han, Kaiwei Li, Shimin Chen, Wenguang Chen

“…Experimental evaluation showed that Auxo achieved 2.9× to 12.1× improvement for global queries, and 1.7× to 2.7× improvement for local queries, as compared with state-of-the-art open-source solutions.…”
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Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

“…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
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Efficiency and safety of automated label cleaning on multimodal retinal images by Tian Lin, Meng Wang, Aidi Lin, Xiaoting Mai, Huiyu Liang, Yih-Chung Tham, Haoyu Chen

“…This study assessed the effectiveness and potential risks of automated label cleaning using an open-source framework, Cleanlab, in multi-category datasets of fundus photography and optical coherence tomography, with intentionally introduced label noise ranging from 0 to 70%. …”
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IMPLEMENTASI THREAT MITIGATION DAN TRAFFIC POLICY MENGGUNAKAN UTM PADA JARINGAN TCP/IP by M. Reza Hidayat, Ruben Saragih, Sofyan Basuki, Atik Charisma, Antrisha Daneraici Setiawan

“… Penelitian bertujuan merancang UTM berbasis aplikasi open-source yang mampu melakukan Threat Mitigation dan menerapkan manajemen trafik pada jaringan TCP/IP. …”
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Beyond Humanoid Prosthetic Hands: Modular Terminal Devices That Improve User Performance by Digby Chappell, Barry Mulvey, Shehara Perera, Fernando Bello, Petar Kormushev, Nicolas Rojas

“…In this paper, we develop and evaluate four open-source modular non-humanoid devices to perform the motion required to replicate human flicking motion and to twist a screwdriver, and the functionality required to pick and place flat objects and to cut paper. …”
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The Right to the Night City: Exploring the Temporal Variability of the 15-min City in Milan and Its Implications for Nocturnal Communities by Lamia Abdelfattah, Abubakr Albashir, Giulia Ceccarelli, Andrea Gorrini, Federico Messa, Dante Presicce

“…The spatiotemporal analysis was performed using a customized version of the 15-min City Score Toolkit, an open-source, Python-based proprietary tool developed to automate the 15 min access metric estimation. …”
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Standardized Functions for Smartphone Applications: Examples from Maternal and Child Health by Mary Jane Rotheram-Borus, Mark Tomlinson, Dallas Swendeman, Adabel Lee, Erynne Jones

“…We utilize the Maternal and Child Health (MCH) MDG in order to demonstrate how the existing literature can be organized and leveraged on open-source platforms and provide examples using our own experience in Africa over the last 8 years.…”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. Traditional data augmentation methods offer limited improvements in model performance, while generative data augmentation methods are plagued by difficulties in training generative models, susceptibility to artifacts, and the need for re-labeling. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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VulMPFF: A Vulnerability Detection Method for Fusing Code Features in Multiple Perspectives by Xiansheng Cao, Junfeng Wang, Peng Wu, Zhiyang Fang

“…Meanwhile, experiments in the open-source project demonstrate that VulMPFF has the potential to detect vulnerabilities in real-world environments.…”
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Using DIMet for Differential Analysis of Labeled Metabolomics Data: A Step-by-step Guide Showcasing the Glioblastoma Metabolism by Johanna Galvis, Joris Guyon, Thomas Daubon, Macha Nikolski

“…Accessible to all researchers through Galaxy, DIMet is free, user-friendly, and open source, making it a valuable resource for advancing metabolic research.…”
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A numerical framework for computing steady states of structured population models and their stability by Inom Mirzaev, David M. Bortz

“…We also demonstrate that our numerical framework can be used to gain insight about the theoretical stability of the stationary solutions of the evolution equations. Furthermore, the open source Python program that we have developed for our numerical simulations is freely available from our GitHub repository (github.com/MathBioCU).…”
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Artificial Neural Network (ANN) Based Fast and Accurate Inductor Modeling and Design by Thomas Guillod, Panteleimon Papamanolis, Johann W. Kolar

“…The implementation (source code and data) of the proposed workflow is available under an open-source license.…”
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Unilateral cleft lip and palate patients present cranial base modifications: a cross-sectional study by Eduardo Murad VILLORIA, Bernardo Quiroga SOUKI, Marina Araújo Leite ASSIS, Dauro Douglas OLIVEIRA, Thaís de Lima AZEREDO, Rodrigo Villamarim SOARES

“…The 3D Euclidean distances of anterior cranial base (N-S), posterior cranial base (S-Ba), total cranial base (N-Ba) lengths, cranial base width (Po-Po), as well as the cranial base flexure (NSBa), were measured using open-source software ITK-SNAP and 3D Slicer. Statistical analyses were carried out with the Student’s t-test at a significance level of 5%. …”
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CyberUnits Bricks: An Implementation Study of a Class Library for Simulating Nonlinear Biological Feedback Loops by Johannes W. Dietrich, Nina Siegmar, Jonas R. Hojjati, Oliver Gardt, Bernhard O. Boehm

“…CyberUnits Bricks is available as open-source software that has been optimised for Embarcadero Delphi and the Lazarus IDE for Free Pascal.…”
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Modeling Highly Buoyant Flows in the Castel Giorgio: Torre Alfina Deep Geothermal Reservoir by Giorgio Volpi, Fabien Magri, Francesca Colucci, Thomas Fisher, Mattia De Caro, Giovanni B. Crosta

“…We present the 3D numerical model of the CG-TA to simulate the undisturbed natural geothermal field and investigate the impacts of the exploitation process. The open source finite-element code OpenGeoSys is applied to solve the coupled systems of partial differential equations. …”
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An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo by Nikolaos Nagkoulis, Christos Adam, Ioannis Mamoutos, Stelios Katsanevakis, Antonios D. Mazaris

“…This approach involved converting current centroids into points and projecting current directions and magnitudes onto a nearest-neighbour graph connecting these points. Using open-source data from the Copernicus Black Sea Physics Reanalysis dataset from 1993 to 2023, a high-resolution dataset of graph objects (edge lists) and shapefiles (points and edges) for the Black Sea has been created. …”
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Minimum effort adaptation of automatic speech recognition system in air traffic management by Mrinmoy Bhattacharjee, Petr Motlicek, Srikanth Madikeri, Hartmut Helmke, Oliver Ohneiser, Matthias Kleinert, Heiko Ehr

“…., “dexon” or “pobeda”. Traditionally, open-source ASR toolkits or large pre-trained models require substantial domain-specific transcribed speech data to adapt to specialized vocabularies. …”
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