Results 131 to 140 of about 56,042 (290)

Closing the Numeracy Gap in Medication Safety: Impact of a safeMedicate Intervention in Undergraduate Medical Education

Pharmacology Research & Perspectives
Medication errors, often linked to inadequate numeracy skills, pose significant risks to patient safety. To address this, Kent and Medway Medical School (KMMS) became the first UK medical school to integrate safeMedicate, a validated e‐learning platform,
Soban Sadiq, Susan Driver, Manfred Gschwandtner   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Module DEDE-BENL

, 2013
Dutch language and culture e-learning module for (exchange) students. This learning module was developed on the basis of a cross-cultural research project co-ordinated by professor Martine Verjans (Universiteit Hasselt – CTL).
VERJANS, Martine, THELEN, Marcel, HUYSMANS, Marieke, GELAN, Anouk   +3 more
core   +1 more source

Enhanced Anomaly Detection in Pandemic Surveillance Videos: An Attention Approach With EfficientNet-B0 and CBAM Integration

IEEE Access
We present a novel system for anomaly detection in surveillance videos, specifically focusing on identifying instances where individuals deviate from public health guidelines during the pandemic. These anomalies encompassed behaviours like the absence of
Sareer Ul Amin, Muhammad Sibtain Abbas, Bumsoo Kim, Yonghoon Jung, Sanghyun Seo   +4 more
doaj   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

Advanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Module-Lattice-Based Key-Encapsulation Mechanism Performance Measurements

Sci
Key exchange mechanisms are foundational to secure communication, yet traditional methods face challenges from quantum computing. The Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) is a post-quantum cryptographic key exchange protocol with ...
Naya Nagy, Sarah Alnemer, Lama Mohammed Alshuhail, Haifa Alobiad, Tala Almulla, Fatima Ahmed Alrumaihi, Najd Ghadra, Marius Nagy   +7 more
doaj   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

Microstructure homogenization: human vs machine

Advanced Modeling and Simulation in Engineering Sciences
Two approaches are presented to improve the capabilities of machine learning models in multiscale modeling for microstructure homogenization (graphical abstract in Fig. 1).
Julian Lißner, Felix Fritzen
doaj   +1 more source

Deep Learning for Underwater Crack Detection: Integrating Physical Models and Uncertainty-Aware Semantic Segmentation

Infrastructures
Underwater crack detection is critical for ensuring the safety and longevity of submerged infrastructures, yet it remains challenging due to water-induced image degradation, limited labeled data, and the poor generalization of existing models. This paper
Wenji Ai, Zongchao Liu, Shuai Teng, Shaodi Wang, Yinghou He   +4 more
doaj   +1 more source

Difficulté théorique des variantes algébriques du problème learning with errors

, 2021
The main focus of this Ph.D thesis lies on the computational problem Learning With Errors (LWE). It is a core building block of lattice-based cryptography, which itself is among the most promising candidates to replace current cryptographic protocols ...
Boudgoust, Katharina
core