Art Research Papers

Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review

Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...

European Ai-Policy Space

Artificial Intelligence (AI) is one of the central technologies of the fourth industrial revolution. A significant part of the production of surplus value in the XXI century is associated with the mastery and widespread introduction of tech...

Adversarial XAI Methods in Cybersecurity

Machine Learning methods are playing a vital role in combating ever-evolving threats in the cybersecurity domain. Explanation methods that shed light on the decision process of black-box classifiers are one of the biggest drivers in the suc...

A Survey on Explainable Artificial Intelligence for Cybersecurity

The “black-box” nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create mac...

Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning

Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...

A Review of Cybersecurity in Grid-Connected Power Electronics Converters: Vulnerabilities, Countermeasures, and Testbeds

With the increasing installations of solar energy, electric vehicles, and other distributed energy resources and the deeper developments of digitalization and standardization, cybersecurity became more and more essential and critical in mod...

Cybersecurity for digital manufacturing

Cybersecurity in Distributed Power Systems

This paper presents the application of cybersecurity to the operation and control of distributed electric power systems. In particular, the paper emphasizes the role of cybersecurity in the operation of microgrids and analyzes the dependenc...

Explainable Artificial Intelligence in CyberSecurity: A Survey

Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being’s daily life. Despite the AI benefits, its application suffer from the opacity of complex internal mechanisms and doesn’t satisfy by design the principles...

Exposure to particulate matter (PM2.5) and prevalence of diabetes mellitus in Indonesia

Background: Recently emerging evidence suggests an association between particulate matter less than 2.5 µm in diameter (PM2.5) exposure and diabetes risk. However, evidence from Asia is limited. Here, we evaluated the association between PM...

Rheumatoid Arthritis and Cardiovascular Risk: Retrospective Matched-Cohort Analysis Based on the RECORD Study of the Italian Society for Rheumatology

Background: Rheumatoid arthritis (RA) is associated with an increase in cardiovascular (CV) risk. This issue maybe not only explained by a genetic component, as well as by the traditional CV risk factors, but also by an underestimation and ...

Public Health Communication

Contents: Preface. Introduction. R. Hornik, Public Health Communication: Making Sense of Contradictory Evidence. Part I: Deliberate Trials. J.K. Worden, B.S. Flynn, Using Mass Media to Prevent Cigarette Smoking. P. Palmgreen, L. Donohew, E....

Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions

Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...

Outcomes of Peripheral Vascular Interventions in Select Patients With Lower Extremity Acute Limb Ischemia

BackgroundContemporary data on patients presenting with acute limb ischemia (ALI), who are selected for treatment with endovascular peripheral vascular interventions (PVI), are limited. Our study examined outcomes following endovascular PVI...

How nurses address psychosocial needs in patients with advanced heart or lung failure: a qualitative interview study

Abstract Background Patients with advanced heart failure or lung failure often experience significant changes in psychosocial needs, which may affect their quality of life, emotional wellbeing, and daily functioning. Although nurses are wel...

STERILIZED in the Name of Public Health

In exploring the history of involuntary sterilization in California, I connect the approximately 20,000 operations performed on patients in state institutions between 1909 and 1979 to the federally funded procedures carried out at a Los Ang...

Violence a global public health problem

This article is a version of the Introduction to the World Report on Violence and Health, published by the World Health Organization (WHO). It presents a general description about this phenomenon and points some basic questions: concepts an...

Role of Chat GPT in Public Health

A History of Public Health

Since publication in 1958, George Rosen's classic book has been regarded as the essential international history of public health. Describing the development of public health in classical Greece, imperial Rome, England, Europe, the United St...