Aug 2026· Research on Biomedical Engineering· Vol 42· 0 citations· 25 references
Abstract
The aim of this work was to develop a sensorized wobbleboard capable of changing its type of instability and quantifying the body stability through a dashboard and an exergame. The device was assembled using a wooden disc with load cells attached to it. At the bottom of the disc, three pieces of instability can be attached. In this study, two software applications were developed. The first, was a Dashboard capable of displaying the center of pressure (CoP) path. The other was a WobbleBall game whose goal is to keep the avatar inside a scoring ring whose radius is constantly reduced. To validate this study, two tests were performed, CoP and Volunteers tests. In the CoP test, a set of weights was placed in different positions on the device, and the CoP position calculated by the Dashboard was recorded. In the volunteers test, the balance was compared before and after a session of the WobbleBall game, using all three of the instability pieces developed. The CoP test results showed that the device can point the CoP position within the acceptable error. The result of the test with volunteers showed that there was no significant difference in balance before and after the game session. Additionally, participants achieved better results when playing the game under isolated anteroposterior and lateral instability, while poorer results were observed when playing without instability and with instability in both axes simultaneously. The developed device met the objectives of the study, being able to monitor the balance in different difficulties. However, a longer period of volunteer testing is required to determine the effect of the device on long-term balance.
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
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
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.· International Journal for Re...· 0 citations
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.
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.· journal of Health Research a...· 0 citations
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