Concordia University

Checked-In Secret Detection: Strings Are All You Need

Hardcoded secrets in source code pose critical security vulnerabilities which can be easily exploited by malicious adversaries. Existing regex-based detection approaches suffer from fundamental limitations, as secrets often lack identifiable patterns, resulting in poor precision...

Conflict between farmers and Barbary macaques (Macaca sylvanus) in Northern Algeria: threats and conservation implications

Abstract Human-wildlife conflict is a major challenge in conservation biology with ecological and socioeconomic consequences. The problem is particularly delicate when the animals involved are threatened with extinction and experiencing rapid habitat loss due to climate change an...

Psychological Resilience among Nurses in Selected Hospitals in Calapan City

Nurses frequently encounter workplace stressors that may affect their well-being and professional performance. Therefore, nursing careers are closely related not only to personal and professional growth but also to potential psychological risks. This study assessed the demographi...

Optimal Forecast of Open-Channel Flow through Sequential Node Selection for Data Assimilation in a Hydrodynamic Model

Abstract Predicting river flow is important for flood management, river erosion protection, navigability update, and so on. The traditional approach to predicting the flow using a hydrodynamic model (HM) requires manual calibration and recalibrations of uncertain parameters; it h...

Perioperative corticosteroids and venous thromboembolism risk: a systematic review with exploratory pooled meta-analysis

BACKGROUND Perioperative corticosteroids suppress pro-inflammatory pathways that drive postoperative coagulation, suggesting a potential anti-thrombotic effect. No prior systematic review has examined this relationship.METHODS We systematically reviewed studies reporting DVT or P...

A Tutorial on Gaussian Process Learning-based Model Predictive Control

This tutorial provides an accessible and implementation-oriented introduction to Gaussian process learning-based model predictive control (GP-MPC), which combines probabilistic residual modeling with receding-horizon control. Its central tutorial contribution is a detailed, step-...