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Abstract The global challenge of effectively cultivating clinical thinking in medical students persists, often hindered by traditional textbooks that present knowledge in a linear sequence disconnected from the non-linea...

In recent years, the resilience of road traffic during abnormal events has drawn considerable attention. Intelligent navigation systems, which proactively guide drivers along optimal routes in such situations, are viewed...

The aerospace industry is a very unforgiving field, where even the smallest error could have catastrophic consequences. To reduce the risk of disaster, multiple systems are put into place to provide accurate information ...

ABSTRACT In recent years, there has been a proliferation of literature describing new technologies increasingly integrated into the surgical management of pelvic fractures. However, the available data are heterogeneous, ...

The Turkish Straits System (TSS) is a dangerous and narrow waterway extending between the Black Sea and the Aegean Sea, including the Bosphorus, the Dardanelles, and the Marmara Sea and the Gulf of Izmit. The western ban...

Abstract Background This is the first systematic review and meta-analysis aimed at assessing the current status of robotic-assisted implant surgery (r-CAIS) in zygomatic implant (ZI) placement, with a particular focus on...

Today, CAD/CAM is increasingly gaining its importance in the field of mechanical design. However, these systems are not operated easily by those without proper computer programming skills. This paper aims to allow these ...

The Autonomous search and rescue operations in hazardous en- vironments demands a robust perception, precise localization, and intelli- gent navigation. This paper presents an integrated robotic system on the TurtleBot3 ...

Comprehensive navigation and information access remain significant issues in vast educational campuses with linguistic diversities. This re- search proposes an innovative conversational AI system that integrates automati...

Artificial intelligence (AI) models developed for Global Navigation Satellite System Reflectometry (GNSS-R) observations have demonstrated competitive performance in estimating geophysical parameters, especially ocean su...

This article explores the impact of electromagnetic interference from consumer electronics and common household appliance on the performance of Global Navigation Satellite System (GNSS) receivers in smartphones. As GNSS ...

Measurements from global navigation satellite system reflectometry (GNSS-R) have proven effective for applications in sea surface height (SSH). Deep learning-based methods for spaceborne GNSS-R SSH retrieval can effectiv...

Many industrial and scientific applications rely on high accuracy positioning. With the advancements of modern Global Navigation Satellite Systems constellations and the release of new services, access to a real-time hig...

To fully exploit the advantages of GNSS-R small satellites (large quantity, short revisit cycle) and address key challenges of multisource GNSS-R data—track-wise distribution, uneven spatial coverage, and observat...

Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technolog...

ABSTRACT    Context and background Fit-for-Purpose Land Administration (FFP-LA) framework provides a pragmatic approach to enhancing tenure security, reducing disputes, and facilitating planned urban development in...

Digital twins are increasingly used in wireless networks to provide geometry- and channel-aware replicas that support prediction and control, while large language models (LLMs) offer strong instruction-following capabili...

External ventricular drain (EVD) placement is a standard neurosurgical procedure for cerebrospinal fluid diversion and intracranial pressure monitoring, yet conventional freehand techniques are associated with substantia...

Abstract Introduction The learning curve refers to the relationship between a learner's execution of a task and the number of attempts or time necessary to perform it in a predictable, reliable, and optimal fashion. The ...

Trajectory reconstruction from sparse and noisy GPS data is critical for applications such as urban mobility analysis, transportation planning, and navigation systems. However, large sampling intervals and the typically ...

Although the available traffic data from navigation systems have increased steadily in recent years, it only reflects average travel time and possibly Origin-Destination information as samples, exclusively. However, the ...

Abstract In this work a broadband Magnetoelectric (ME) dipole antenna for the Global Navigation Satellite System (GNSS) applied to nanosatellites is proposed. The antenna consists of a reflective cavity with open walls c...

Introduction: The integration of artificial intelligence (AI) in clinical decision-making has the potential to enhance patient understanding and confidence in treatment choices. This study evaluates the impact of an AI-b...

Abstract The rapid growth of biological resources and associated research outputs has increased the complexity of resource discovery, access, and reuse across heterogeneous repositories. However, fragmented metadata sche...