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A Systematic Review of Deep Learning Approaches for Information Disorder Detection on Social Media: The Context of Misinformation, Disinformation, and Mal-information

Andualem Woldegiorgis, Mohammed Abebe, Durga Prasad Sharma, Worku Jimma • International Journal of Emerging Research in Engineering, Science, and Management (2026)

Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v5i2.3

Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior

Sabina-Cristiana Necula • Behavioral Sciences (2023)

In this study, we aim to investigate the influence of the time spent reading product information on consumer behavior in e-commerce. Given the rapid growth of e-commerce and the increasing importance of understanding online consumer behavio...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs13060439

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid et al. • ISPRS International Journal of Geo-Information (2024)

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi13090330

Practices of artificial intelligence to improve the business in Bangladesh

Md. Touhidul Islam, Md. Mahadi Hasan, Md. Redwanuzzaman, Md. Kamal Hossain • Social Sciences and Humanities Open (2024)

This research paper explores the practices of artificial intelligence (AI) and its impact on improving businesses in Bangladesh through the review of existing literature and primary data analysis. Additionally, a conceptual analysis has bee...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ssaho.2023.100766

Influence of Non - Condensable Gases on the Processes of Heat and Mass Transfer during Film Condensation of Steam in Heat Exchangers

Reshetnikov I.F., Shikhalev S.V., Tikhonov S.L. • Problems of the Regional Energetics (2018)

The aim of the article is a quantitative assessment of the influence of non-condensable gases on the intensity of heat and mass transfer processes during film condensation of steam in the specific conditions for heat exchanger. The task is ...

DOAJ Open Access (DOAJ) DOI: 10.5281/zenodo.2222362

El estilo decorativo en las primeras producciones cerámicas en el valle del río Vinalopó (Alicante) / Decorative Style in Early Pottery Production of the Valley of Vinalopó river (Alicante)

Silvia Martínez-Amorós • Panta rei (2018)

n the present dissertation we study the Neolithic ceramic decorative style from the Vinalopó’s Valley and from the Early Neolithic chronology, based on a sample of six ceramic vases – from Cueva Santa, Arenal de la Virgen, Ledua, Alcudia an...

DOAJ Open Access (DOAJ) DOI: 10.6018/pantarei/2018/1

Machine learning-based dynamic risk measurement for white sugar futures under geopolitical risks

Zihao Qiu, Siyu Chen, Zixin Feng, Ruitong Luo et al. • Frontiers in Physics (2025)

Futures, as significant financial derivatives, play a crucial role in financial markets by fulfilling price discovery functions and providing efficient risk hedging tools. Against the backdrop of geopolitical conflicts, market risk emerges ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphy.2025.1674717

Enhanced Satellite Monitoring of Dryland Vegetation Water Potential Through Multi‐Source Sensor Fusion

J. Du, J. S. Kimball, J. S. Guo, S. A. Kannenberg et al. • Geophysical Research Letters (2024)

Abstract Drylands are critical in regulating global carbon sequestration, but the resiliency of these semi‐arid shrub, grassland and forest systems is under threat from global warming and intensifying water stress. We used synergistic satel...

DOAJ Open Access (DOAJ) DOI: 10.1029/2024GL110385

Mindfulness and Other Simple Neuroscience-Based Proposals to Promote the Learning Performance and Mental Health of Students during the COVID-19 Pandemic

Gonzalo R. Tortella, Amedea B. Seabra, Jorge Padrão, Rodrigo Díaz-San Juan • Brain Sciences (2021)

The COVID-19 pandemic has had a negative impact on education. The restrictions imposed have undoubtedly led to impairment of the psychological well-being of both teachers and students, and of the way they experience interpersonal relationsh...

DOAJ Open Access (DOAJ) DOI: 10.3390/brainsci11050552

SOCIAL LEARNING IN POLITICAL CONSTRAST: GOVERNMENTAL RESISTANCE OR DEPENDENCY OF INDIGENOUS COMMUNITIES IN CHIAPAS, MEXICO

Daniela Gallardo-Olimón, Obeimar Balente Herrera-Hernández, Manuel Roberto Parra-Vázquez, Francisco Guízar-Vázquez • Ra Ximhai (2016)

In recent years there has been a broad conceptual discussion on processes of Social Learning (SL) as the driving force of territorial management processes. Similarly, there has been a discussion on the role of the government and its impli...

DOAJ Open Access (DOAJ)

Brain plasticity in response to artistic and non-artistic training aimed at promoting creativity: How can we enhance creativity and capture the process in neuroscience?

Anna Arkhipova, Pavel Hok, Pavel Hok, Petr Janata et al. • Frontiers in Human Neuroscience (2026)

Creativity has been consensually defined as an ability to produce novel and original ideas/works, a definition shared both by the general public and among scholars. Since creativity is one of the most important and unique cognitive construc...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnhum.2026.1632331

3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys

Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang et al. • Virtual and Physical Prototyping (2025)

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified,...

DOAJ Open Access (DOAJ) DOI: 10.1080/17452759.2025.2524524

A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management

Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research (2026)

Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42834-026-00296-y

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems

África Periáñez, Ana Fernández Del Río, Ivan Nazarov, Enric Jané et al. • Health Systems & Reform (2024)

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications focused on supply chain operation, patient manag...

DOAJ Open Access (DOAJ) DOI: 10.1080/23288604.2024.2387138

Developing an Interferogram-Based Module with Machine Learning for Maintaining Leveling of Glass Substrates

Syuan-Cheng Chang, Chung-Ping Chang, Yung-Cheng Wang, Chi-Chieh Chu • Machines (2023)

In this research, we propose a method that utilizes machine learning to maintain the parallelism of the resonant cavity in a Fabry–Perot interferometer designed specifically for glass substrates. Based on the optical principle and theory, w...

DOAJ Open Access (DOAJ) DOI: 10.3390/machines11060668