Publications

The Ethics of Optimization: An Evaluation Framework for Arthroplasty Surgeons.

The practice of patient optimization seems to be straightforward, logical, and not controversial, but ethical issues may arise. This most commonly occurs when the desire for ris...

Implementation Factors for Wearable Fall Injury Mitigation Technology: A Framework for Technology Adoption

Successful technology implementation in LTC requires comprehensive assessment across organizational, staff, and resident domains. The framework developed provides clinical leade...

QuantoniumOS: A Hybrid Computational Framework for Quantum Resonance Simulation with Validated Unitary Transform and Post-Quantum Cryptographic Primitives

Organism-centric environment synchronization - a framework for mental health based on the evolutionary-mismatch paradigm

ACGAN: Adaptive Loss–Guided GAN–CNN Framework for Semantically Coherent Synthetic Insider Threat Data Generation

The United Nations convention on rare diseases—A framework for research prioritization

DRGSCROLL: Achieving Full Side-Chain Flexibility in Docking Simulations through Genetic Algorithm Framework

Abstract Structure-based docking often assumes a rigid receptor, obscuring induced-fit side-chain rearrangements that govern affinity and selectivity. We introduce DRGSCROLL, an...

The Five Good Things Expressive Framework (5GTEF): A Neuroaffirming, Mindfulness-Based Model for Relational Healing Across Clinical, Educational, and Organizational Contexts

An integrated framework for rooftop solar viability assessment: Enhancing building reuse and urban sustainability through UAV-Derived 3D modeling and performance simulation

Real time processing and visualization analysis framework for education management big data supported by edge intelligence

Robotic Bricklaying Adoption in Post-Pandemic Jordan: A Resilience Framework for Construction Automation

The COVID-19 pandemic intensified labor shortages and safety challenges in Jordan’s construction sector, revealing systemic vulnerabilities in its reliance on migrant workers. T...

Application of a deep learning framework integrating SAR imagery and terrain slope to flood mapping

Deep learning and remote sensing are critical to flood mapping, with synthetic aperture radar (SAR) offering a weather-independent data source. To improve segmentation accuracy,...