Academic Articles & Research Papers

The Effects of Large Language Models on the Generation of Multiple-choice Questions in Medical Education: A Scoping Review

Background: Constructing high-quality multiple-choice questions (MCQs) is critical yet resource-intensive in medical education. Large language models (LLMs), such as ChatGPT, have become promising tools for generating MCQs in medical educat...

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...

A Mathematical Modeling and an Optimization Algorithm for Marine Ship Route Planning

In order to solve the problem of ship route planning at sea, we reduce the economic cost of ship navigation planning and improve the efficiency of ship navigation. As a result, the goal of this work is to delve into the mathematical modelin...

Cost-Effective Design, Content Management System Implementation and Artificial Intelligence Support of Greek Government AADE, myDATA Web Service for Generic Government Infrastructure, a Complete Analysis

One significant digital initiative that is changing Greece’s tax environment is the myDATA platform. The platform, which is a component of the wider digital governance agenda, provides significant added value to enterprises and the tax admi...

Artificial Intelligence, Algorithmic Pricing, and Collusion

Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To analyze the possible consequences, we study experimentally the behavior of algorithms powered by Artificial Intelligence (Q-learning) in a work...

Health service staff and patients' perceptions of the safety, quality, cost-effectiveness, environmental impact, benefits and challenges of disposable versus reusable endoscopes in upper gastrointestinal procedures: a qualitative study.

Consumers and Artificial Intelligence: An Experiential Perspective

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...

Scammer Participants and AI-Assisted Interviews in Qualitative Health Research: An Example From a Study of Expectant Parents With a Rare Genetic Condition

Online interviewing has allowed cost-effective data collection and access to diverse, geographically dispersed populations. However, these benefits come with significant risks to research integrity, particularly in terms of attracting poten...

On the practical aspects of machine learning based active power loss forecasting in transmission networks

Abstract The cost for covering active power losses makes a significant item in transmission system operators (TSO) annual budgets, and still it received limited attention in the existing literature. The focus of accurate power loss forecast...

An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients

Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects. However, research on predicting AKI in this high-risk group remains limited. This study presents a stacking ensemble ma...

Identification of Aspergillus at section and species levels by artificial intelligence-based microscopic morphology image recognition

ABSTRACT Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phyl...

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

Artificial Intelligence and Economic Growth

This paper examines the potential impact of artificial intelligence (A.I.) on economic growth.We model A.I. as the latest form of automation, a broader process dating back more than 200 years.Electricity, internal combustion engines, and se...

Identifying payment-driven patient selection using machine-learning-predicted cost risk: evidence from neonatal care in China.

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...

Targeting pepsin provides superior protection to acid suppression in reflux-associated airway inflammation and lung dysfunction.

Egocentric Hand Activity Video Dataset and Bidirectional Motion-Priors for Hand Action Recognition

Recognizing tool-based hand activities from a first-person view is a critical yet challenging task in computer vision, due to the complexity of hand-object interactions and often subtle, ambiguous motion patterns. In real-world manufacturin...

Flattening the Curve of Flexible Space Robotics

Infrastructure monitoring, inspection, repair, and replacement in space is crucial for continued usage and safety, yet it is expensive, time-consuming, and technically very challenging. New robotics technologies and artificial intelligence ...

The impact of digitization of the cost accounting system on organizational efficiency and effectiveness in the healthcare sector of the Republic of Serbia

The new industrial era has brought new opportunities and chances for the entire business development. Smart machines, artificial intelligence, cloud computing, the Internet of Things, big data are taking over many jobs and roles, thus leavi...

Investigation of Non-Isothermal Kinetics and Thermodynamic Parameters for the Pyrolysis of Different Date Palm Parts

Using the thermalgravimetric technique, we investigated the non-isothermal combustion kinetics of abundant and low-cost date palm wastes (leaflet, rachis, fibers, and their composite) as potential biomass energy sources. The kinetic and the...