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Effect of robot-assisted gait training combined with electroacupuncture on lower limb motor function and brain network characteristics in stroke: an EEG study

Haiping Huang, Xinyi Su, Yuqian Zhang, Zhixi Liu et al. • Journal of NeuroEngineering and Rehabilitation (2025)

Abstract Background Stroke survivors often experience residual motor dysfunction in their limbs. Additional physical rehabilitation therapies may further improve patients’ functional outcomes. By combining direct interventions targeting the...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12984-025-01827-1

Conceptualisation de l'espace numérique dans l'enseignement-apprentissage des langues

France Lafleur • ALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication (2023)

In this article on the conceptualization of the digital space in the teaching-learning of languages, our contribution to the "Architecture of the processes of production and reception" of language (François & Nespoulous, 2014), consists in ...

DOAJ Open Access (DOAJ) DOI: 10.4000/alsic.6783

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders

Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez, Carlos Ramos-Galarza et al. • Frontiers in Psychiatry (2025)

IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2024.1516065

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences (2026)

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16073565

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

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

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...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

Ben Archer • Artificial Intelligence in Education (2026)

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

DOAJ Open Access (DOAJ) DOI: 10.1108/AIIE-07-2025-0199

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Stone, Peter, Rodney A. Brooks, Erik Brynjolfsson, Ryan Calo et al. • arXiv (Cornell University) (2022)

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2211.06318

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts

Hatice Gürdil, Hatice Özlem Anadol, Yeşim Beril Soğuksu • Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi (2026)

This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...

DOAJ Open Access (DOAJ) DOI: 10.30964/auebfd.1807153

The use of artificial intelligence in anesthesiology: Attitudes and ethical concerns of anesthesiologists

Selin Erel, Aslıhan G. Kılıç • Saudi Journal of Anaesthesia (2025)

Background: Existing studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, exam...

DOAJ Open Access (DOAJ) DOI: 10.4103/sja.sja_164_25

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Rohit Sharma, Raghvendra Kumar, Suresh Chandra Satapathy, Nadhir Al-Ansari et al. • Frontiers in Environmental Science (2020)

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2020.581591

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe et al. • Cancer Reports (2024)

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

DOAJ Open Access (DOAJ) DOI: 10.1002/cnr2.2045

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

Changui Lee, Seojeong Lee • Journal of Marine Science and Engineering (2024)

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of t...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse12101778

Impact of Artificial Intelligence (Chatgpt and Google-Bard) on Undergraduates’ Creative Writing Skills at A University in Northeastern Nigeria

Abubakar Salihu, Muhammad Mukhtar Aliyu, Nur Fadillah Nurchalis • Inspiring (2024)

Artificial intelligence (AI) has a profound influence on various facets of modern-day society, notably within the realm of education. Its application in educational settings is extensive, primarily aimed at improving the methods of instruct...

DOAJ Open Access (DOAJ) DOI: 10.35905/inspiring.v7i2.9567

A meta-analysis of the relation between math anxiety and math achievement.

Connie Barroso, Colleen M. Ganley, Amanda L. McGraw, Elyssa A. Geer et al. • Psychological Bulletin (2020)

Meta-analyses from the 1990s have previously established a significant, small-to-moderate, and negative correlation between math achievement and math anxiety. Since these publications, research has continued to investigate this relation wit...

OPENALEX other-oa DOI: https://doi.org/10.1037/bul0000307 PMC: 8300863