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This study presents a novel, modular 3D printing system for the scalable production of microbially induced calcium carbonate (CaCO3) precipitation (MICP) produced bio-materials. Through modular design principles and oper...

Abstract The ever-growing and increasing diversity of IoT ecosystems, the seamless interoperability, scale, and near real-time automation have remained grand challenges. This paper presents a solution enterprise semantic...

The article focuses on the impact of digital transformation on social mobility and human capital development in the context of the digital economy and labor market transformations. The research aims to systematize modern...

Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread ...

In recent years, Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have gained significant momentum in the automation of software development. Although, previous research studies have also explo...

Neuromorphic photonic processors based on resonator weight banks are an emerging candidate technology for enabling modern artificial intelligence (AI) in high speed analog systems. These purpose-built analog devices impl...

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...

Healthcare systems operating under emergency and high-demand conditions face persistent challenges in coordinating medical personnel, managing critical documentation, and ensuring data security and regulatory compliance....

Abstract BackgroundRisk of bias (RoB) assessment of randomized clinical trials (RCTs) is vital to answering systematic review questions accurately. Manual RoB assessment for hundreds of RCTs is a cognitively ...

This study focuses on implementing PowerApps to automate and optimize the calculation of the carbon footprint at ABB, a company dedicated to industrial process automation in the mining sector. The implementation not only...

Manual cocoa bean inspection is subjective and prone to error, significantly impacting chocolate production. This study presents an automated, high-throughput cocoa bean grading system leveraging YOLOv10, YOLOv11, and Vi...

Abstract Chimeric antigen receptor (CAR) T cell therapies have achieved clinical success in autologous treatment of hematological malignancies. However, their broader application remains limited. Beyond the biological ch...

Manual Gross Tumor Volume (GTV) delineation for radiotherapy is time‑consuming and prone to inter‑observer variability. Deep Learning (DL)-based auto‑segmentation offers faster and more consistent solutions, but tr...

Solvent evaporation, a ubiquitous yet often limiting step in chemical synthesis, routinely creates critical bottlenecks in research workflows. We introduce a novel benchtop solvent evaporation platform engineered to dram...

Generative artificial intelligence (AI) has transitioned into a collaborative creator in music composition, raising concerns about its impact on human creative agency. This study investigates how AI automation levels aff...

Abstract Modern antenna design is an intrinsic undertaking. It relies heavily on expert knowledge and computational tools, especially electromagnetic (EM) simulation software. The most daunting phase is the development o...

Trust is a concept that cannot be easily measured. Further, trust is domain-specific. Trust is a foundational aspect of safe flight operations in the National Airspace System, and while there has been much attention to t...

Background and purpose: Deviations in radiotherapy quality can significantly affect clinical trial outcomes, including overall survival. Radiotherapy quality assurance (RTQA) is a systematic process by which a RT plan is...

Abstract Quantitative analysis of fluorescence microscopy images remains a significant challenge in cytopathological assessments, as subjective interpretation and inter‐observer variability hinder reproducibility and s...

Increasing computing power, the constant development of different types of digital tools or even the use of AI systems – they all provide the EU administration with an opportunity to use automated decision-making (ADM)...

In response to the unstable accuracy rate of fault location in distribution network lines and the significant impact of communication with distribution automation devices, the fault perception analysis of distribution ne...

The article analyzes the theoretical foundations and practical aspects of implementing artificial intelligence (AI) technologies in educational and scientific space. Based on a systematic analysis of international resear...

Relevance. Fundamentally new infrastructure and production solutions implemented in the Arctic macroregion can subsequently be scaled both in the subarctic regions and in the country as a whole, which determines the impo...

Abstract Digital technologies and AI promise to optimise complex systems through data-driven decisions, predictive modelling, and anticipatory action. However, this optimisation imperative creates a fundamental paradox: ...