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Editorial

Anna Szychta • Zeszyty Teoretyczne Rachunkowości (2025)

Dear Authors and Readers,The closing issue of “Zeszyty Teoretyczne Rachunkowości” (ZTR, “The Theoretical Journal of Accounting”) for 2025, vol. 49, number 4, once again provides an engaging and multidimensional review of contemporary resear...

DOAJ Open Access (DOAJ) DOI: 10.5604/01.3001.0055.5421

UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity

Joana Carvalho, Francisca F. Fernandes, Mafalda Valente, Koen V. Haak et al. • Nature Communications (2026)

Abstract Deciphering the directionality of information flow in cortical circuits is essential for understanding brain dynamics, learning, and neuroplasticity after injury. However, current noninvasive methods cannot distinguish bottom-up fr...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-026-71506-9

An agent-based modeling framework for the design of a dynamic closed-loop supply chain network

Ayşegül Bozdoğan, Latife Görkemli Aykut, Neslihan Demirel • Complex & Intelligent Systems (2022)

Abstract The supply chain is a dynamic and uncertain system consisting of material, information, and fund flows between different organizations, from the acquisition of the raw materials to the delivery of the finished products to the end c...

DOAJ Open Access (DOAJ) DOI: 10.1007/s40747-022-00780-z

Argumentation approaches for explanaible AI in medical informatics

Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano • Intelligent Systems with Applications (2022)

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are often considered black boxes as they do not provide any explanation about how outputs are derived from inputs or why a decision is taken. There...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iswa.2022.200109

I do not want to suppress the natural process of inflammation: new insights on factors associated with non-adherence in rheumatoid arthritis

Valentin Ritschl, Angelika Lackner, Carina Boström, Erika Mosor et al. • Arthritis Research & Therapy (2018)

Abstract Background It is estimated that 50–70% of patients with rheumatoid arthritis (RA) are non-adherent to their recommended treatment. Non-adherent patients have a higher risk of not reaching an optimal clinical outcome. We explored fa...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13075-018-1732-7

Intelligent Systems for Healthcare Management and Delivery

Nardjes Bouchemal • Advances in healthcare information systems and administration book series (2018)

"This book explores relevant and advanced methodological, technological and scientific approaches related to the application of sophisticated exploitation of artificial intelligence in intelligent systems for healthcare management and deliv...

OPENALEX DOI: https://doi.org/10.4018/978-1-5225-7071-4

Cellular Robotics and Micro Robotic Systems

T. Fukuda, T. Ueyama • World Scientific series in robotics and intelligent systems (1994)

Part 1 Decentralized robotic system. Part 2 Cellular robotics: concept of cellular robotics optimal structure determination analysis of communication amount knowledge allocation network organization automatic docking mechanism future work. ...

OPENALEX DOI: https://doi.org/10.1142/2080

Triangular Geometrized Sampling Heuristics for Fast Optimal Motion Planning

Ahmed Hussain Qureshi, Saba Mumtaz, Yasar Ayaz, Osman Hasan et al. • International Journal of Advanced Robotic Systems (2015)

Rapidly-exploring Random Tree (RRT)-based algorithms have become increasingly popular due to their lower computational complexity as compared with other path planning algorithms. The recently presented RRT * motion planning algorithm improv...

DOAJ Open Access (DOAJ) DOI: 10.5772/59763

Killer Robots

Robert Sparrow • Journal of Applied Philosophy (2007)

abstract The United States Army's Future Combat Systems Project, which aims to manufacture a ‘robot army’ to be ready for deployment by 2012, is only the latest and most dramatic example of military interest in the use of artificially intel...

OPENALEX Open Access DOI: https://doi.org/10.1111/j.1468-5930.2007.00346.x

PeriSim: A Simulator for Optimizing Peristaltic Table Control

Ross M. McKenzie, Jamie O. Roberts, Mohammed E. Sayed, Adam A. Stokes • Advanced Intelligent Systems (2019)

Peristaltic conveyance can be used for the sorting and transport of delicate and nonrigid objects such as meat or soft fruit. The non‐linearity and stochastic behavior of peristaltic systems make them difficult to control. Optimizing contro...

DOAJ Open Access (DOAJ) DOI: 10.1002/aisy.201900070

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Yao Yao, David Howard, Perla Maiolino • Advanced Intelligent Systems (2026)

Task‐driven design of soft robots requires models that are physically accurate and computationally efficient, while remaining transferable across actuator designs and task scenarios. However, existing modeling approaches typically face a fu...

DOAJ Open Access (DOAJ) DOI: 10.1002/aisy.70406

A Novel Passive Implantable Differential Mechanism to Restore Individuated Finger Flexion during Grasping following Tendon Transfer Surgery: A Pilot Study

Suraj Chakravarthi Raja, Won Suk You, Kian Jalaleddini, Justin C. Casebier et al. • Applied Sciences (2023)

Tendon transfer surgery is often used to restore hand grasp function following high median-ulnar nerve palsy. This surgery typically reroutes and sutures the tendon of the extensor carpi radialis longus (ECRL) muscle to all four flexor digi...

DOAJ Open Access (DOAJ) DOI: 10.3390/app13095804

Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures

Roman V. Yampolskiy, M. S. Spellchecker • arXiv (Cornell University) (2016)

In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI S...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1610.07997

Explainable machine learning in cybersecurity: A survey

Feixue Yan, Sheng Wen, ‪Surya Nepal‬, Cécile L. Paris et al. • International Journal of Intelligent Systems (2022)

Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, suc...

OPENALEX cc-by-nc DOI: https://doi.org/10.1002/int.23088

Quantifying Uncertainties in Natural Language Processing Tasks

Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence (2019)

Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...

OPENALEX Open Access DOI: https://doi.org/10.1609/aaai.v33i01.33017322