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Showing 20 of 258 academic articles

The impact of an online intervention on the medical, dental and health sciences students about interprofessional education; a quasi-experimental study

Salman Y. Guraya, Leena R. David, Shermin Hashir, Noha A. Mousa et al. • BMC Medical Education (2021)

Abstract Background Interprofessional education (IPE) encompasses integration, communication, mutual trust and shared decision-making with a common goal of improved patient care and safety. Despite its crucial role, IPE has not gained its a...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12909-021-02900-8

Protocol for a mixed methods process evaluation for a randomised controlled trial to improve shared decision-making about, and uptake of, osteoporosis medicines: the iFraP study [version 3; peer review: 2 approved, 1 approved with reservations]

Terence W O'Neill, Robert Horne, Clare Jinks, Christian D Mallen et al. • NIHR Open Research (2026)

Background High quality shared decision-making (SDM) conversations involve people with or at risk of osteoporosis and clinicians working together to decide, where appropriate, which evidence-based medicines best fit the person’s life, belie...

DOAJ Open Access (DOAJ) DOI: 10.3310/nihropenres.13751.3

Introduction to Epidemiology

Sajid Suleman • Elsevier eBooks (1978)

This chapter introduces the foundational concepts of epidemiology as the scientific study of health and disease patterns in populations. It outlines the distinction between descriptive and analytical approaches, establishing the importance ...

OPENALEX Open Access DOI: https://doi.org/10.1016/b978-0-12-745250-0.50015-1

Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review

Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz, José Dorado et al. • Frontiers in Plant Science (2023)

Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or in...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2023.1143326

Digital Analysis Methods in Business-Processes and Projects in Digital Twins at Investment-Construction Companies

A. I. Sukhorukov, E. A. Zakharova, E. V. Shvetsov • Вестник Российского экономического университета имени Г. В. Плеханова (2024)

The article analyzes modeling of investment-construction company work from graph models to digital analogues. Such analysis is necessary in order to build economically grounded twin of the investment-construction company. The need to use ad...

DOAJ Open Access (DOAJ) DOI: 10.21686/2413-2829-2024-6-153-162

Organizational Learning from Cybersecurity Performance: Effects on Cybersecurity Investment Decisions

Faheem Ahmed Shaikh, Mikko T. Siponen • Information Systems Frontiers (2023)

Abstract IS literature has identified various economic, performance, and environmental factors affecting cybersecurity investment decisions. However, economic modeling approaches dominate, and research on cybersecurity performance as an ant...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10796-023-10404-7

Explainable AI for Cybersecurity

Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo et al. • Advances in computational intelligence and robotics book series (2024)

In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Black-box AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based...

OPENALEX DOI: https://doi.org/10.4018/978-1-6684-6361-1.ch002

Explainable artificial intelligence for cybersecurity: a literature survey

Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications (2022)

Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12243-022-00926-7

Neural Networks in Clinical Medicine

W.D. Penny, David Frost • Medical Decision Making (1996)

Neural networks are parallel, distributed, adaptive information-processing systems that develop their functionality in response to exposure to information. This paper is a tutorial for researchers intending to use neural nets for medical de...

OPENALEX DOI: https://doi.org/10.1177/0272989x9601600409

Artificial Neural Networks in Agriculture

Sebastian Kujawa, Gniewko Niedbała • Agriculture (2021)

Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple proc...

OPENALEX cc-by DOI: https://doi.org/10.3390/agriculture11060497

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

Yinying Wang • Journal of Educational Administration (2021)

Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...

OPENALEX DOI: https://doi.org/10.1108/jea-10-2020-0216

Layout and Assembly Selection Algorithm for Standard Ring+Turning Ring Shield Tunnel Segments

XIONG Dongdong, YANG Zhao, XU Chao • Chengshi guidao jiaotong yanjiu (2024)

Objective To address the challenges associated with the manual layout and point selection of S+T (standard rings+turning rings (double-sided wedges)) in shield tunnel segments, including high subjectivity, complex calculations, and heavy re...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.2024.10.005

Software engineering economics

Hakan Erdogmus, BARRY W. BOEHM, Warren A. Harrison, Don J. Reifer et al. • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2002)

The field of software economics seeks to develop technical theories, guidelines, and practices of software development based on sound, established, and emerging models of value and value-creation---adapted to the domain of software developm...

OPENALEX DOI: https://doi.org/10.1145/581441.581444

Tumor probability mapping of fluorescence intensity during image-guided surgery of head and neck cancer

Akhilesh M Wodeyar, Sherin James, Benjamin B. Kasten, Nicolaus D. Knight et al. • Scientific Reports (2026)

Abstract Achieving negative surgical margins remains a critical determinant of local recurrence and survival in head and neck cancer (HNC) surgery. Current intraoperative margin assessment techniques, including frozen section analysis, suff...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-56078-4

An Explainable AI-Driven Zero-Day Attack Detection Framework for Securing Edge Devices in Smart Cities

Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction (2025)

The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...

DOAJ Open Access (DOAJ) DOI: 10.54216/JCHCI.100201