Background: Optoelectronic plethysmography (OEP) is a non-invasive technique that can be used to assess both respiratory volumes and chest wall kinematics. An interpolation surface method (ISM) has been recently developed to enhance OEP kinematic analysis. The aim of this study was to test whether ISM is as accurate as...
L Gaillard, Laurent Stubbe, Damien Riquet et al.· Sensors· 0 citations
This replication package accompanies the manuscript “Three faces of autonomy: Exploring configurations of high team autonomy in software project teams.”The study examines how different combinations of control, alignment, and interaction are associated with high team autonomy in software development projects. The empiri...
This paper proposes a hybrid IDS framework that integrates three key components, such as the novel exponential grey wolf-optimized grid search algorithm (EGWOGSA), which is a stochastic optimization algorithm, while feature selection is achieved using the novel symmetric gradient Boruta for enhanced feature selection a...
Joseph Kipongo, Theo G. Swart, Ebenezer Esenogho· Soft Computing - A Fusion of...· 1 citation
The combination of hyaluronic acid and diode laser demonstrated the most pronounced occluding effect, indicating enhanced efficacy compared with the individual treatments, but given the surface-based and laboratory nature of the assessment, further in vivo studies are required to confirm the clinical relevance and long...
Riham Hisham Mahmoud, Basma Mohamed, R. Safy et al.· BMC Oral Health· 0 citations
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Optical transport networks– the fiber links carrying telecom and data-center traffic– can develop “soft failures”: a slowly aging amplifier, a worn connector, or a degrading splice that gradually weakens the signal long before it fails outright. Today’s protection mechanism only reacts once the signal quality has alrea...
PRAKASH VAITHYANATHAN· Zenodo (CERN European Organi...· 0 citations
This Zenodo record contains the reproducibility package accompanying the manuscript “The Potential of the THESEUS Mission for Studies of Young Stellar Objects” by Juhasz et al. The archive includes the Python/PyXspec scripts, selected public input data, machine-readable numerical outputs, and documentation required to...
Á. L. Juhász· Zenodo (CERN European Organi...· 0 citations
Labeled plugin-month datasets, trained model artifacts, and evaluation outputs for CANARY, a public-data-first framework for forecasting security advisories in the Jenkins plugin ecosystem. The master dataset covers 2,053 plugins as monthly observations (2018-01 to 2026-06 in this version); each row carries features co...
Timothy Brennan· Zenodo (CERN European Organi...· 0 citations
An existing series of papers has described the evolution of deep space navigation over the time interval 1962 to 2021. This paper complements the series by examining a broad range of prior or contemporaneous events, starting in the post-war years, that contributed to the successful navigation of NASA’s planetary missio...
L. Wood· The Journal of the astronaut...· 0 citations
MATHEMATICAL MATERIALITY (NUMERI) Physics from a different starting point Ugo Lanciano | Deposit 2.27 | English presentation - version 6 MM invites readers to explore a possibility: space, time and mass could arise from more elementary relationships. The challenge is to follow this hypothesis through to its verifiable...
Ugo Lanciano· Zenodo (CERN European Organi...· 0 citations
This record provides the reproducibility materials associated with the study “Leakage-Conscious Machine Learning for Supplied Injury-Risk Label Classification and Longitudinal Injury Forecasting: A Multi-Dataset Evaluation”. The materials include the executed and clean primary-analysis notebooks, Python scripts, fixed...
Abdülkadir Enes GÖRGÜLÜ, Eray Dursun, Serdar Solak· Zenodo (CERN European Organi...· 0 citations
Execution Governance for Physical AI v1.1.0 presents a cumulative EG1–EG6 research profile for governing consequential physical effects produced by robots, autonomous machines, smart spaces, vehicles, drones, industrial automation, and other cyber-physical systems. Physical AI moves AI-mediated decisions across a bound...
Ho Wa Ku· Zenodo (CERN European Organi...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.