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Abstract Objective Accurate preoperative stone size assessment is crucial for predicting outcomes after percutaneous nephrolithotomy (PCNL), yet a gap persists between the accurate but impractical gold standard (3D softw...

The validity of research findings critically depends on the selection of software samples. However, Mining Software Repositories studies often rely on outdated datasets and lack systematic, transparent procedures for rep...

Software refactoring is a crucial practice in modern software development methodologies, such as Agile and DevOps, as it enables teams to iteratively improve and evolve their codebases while minimizing the risk of introd...

To ensure the perennity of natural resources, the valorisation process of herbal pharmaceuticals must be assessed for sustainability from the very beginning of its design. No specific tools have been developed for this p...

The proliferation of mobile technology has prompted the use of tablet devices in the cockpit and during ground operations in general aviation. Due to the increase in affordable and reliable hardware (i.e. iPads etc.), th...

Abstract Effort estimation remains a persistent challenge in agile software development, particularly at the user story level where iterative delivery is emphasized. Inaccurate estimations can result in misallocated reso...

"There is a general belief that the quality of Twitter data streams is generally low and unpredictable, making, in some way, unreliable to take decisions based on such data. The work presented here addresses this problem...

This study investigates the effect of discharge voltage on fracture distribution and fragmentation extent in multi-hole pulsed discharge rock fragmentation. Comparative experiments were conducted on red sandstone specime...

Abstract The signal digitization process of the open television system is still in progress, therefore, the study of the digital signal propagation has great importance so that broadcasters can develop and improve the tr...

Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from subjective interpretation and variability caused by inconsistent imaging conditions. To address these challenges, we pres...

Platform engineering has become the dominant approach to managing developer infrastructure at scale, with industry surveys indicating that 94% of organizations have adopted or plan to adopt dedicated platform teams. Desp...

Abstract The emergence of Internet-of-Things devices and expanding data processing demands have led to the popularization of edge computing. But energy efficiency challenges and security problems also remain difficult in...

ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency mod...

Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

Digital research artifacts (articles, datasets, software, etc.) are the basis for scientific research. Due to the continuous growth and complexity (e.g., due to formats) of such artifacts, ensuring their organization and...

UML models quality is clearly a crucial issue that must be evaluated at the initial stages of object-oriented software development, in order to get software products with better quality. This fact is corroborated by the ...

"There is a general belief that the quality of Twitter data streams is generally low and unpredictable, making, in some way, unreliable to take decisions based on such data. The work presented here addresses this problem...