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Showing 14 of 34 academic articles

On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals

Andrea Murari, Michele Lungaroni, Emmanuele Peluso, Pasquale Gaudio et al. • Entropy (2018)

Understanding the details of the correlation between time series is an essential step on the route to assessing the causal relation between systems. Traditional statistical indicators, such as the Pearson correlation coefficient and the mut...

DOAJ Open Access (DOAJ) DOI: 10.3390/e20090627

The Effect of Robotics and Coding Education on Girls’ STEM Motivation, Attitude and Career Aspirations

Salih Gülen, İsmail Dönmez, Fatma Betül Şengönül, Miyase Aslantaş et al. • SAGE Open (2025)

STEM education aims to develop 21st-century skills, support economic growth and promote gender equality in STEM fields. It is known that gender stereotypes play a significant role in the formation of STEM identity. The most important factor...

DOAJ Open Access (DOAJ) DOI: 10.1177/21582440251382631

Assessment of the learning environment among medical students at Tabuk University, Saudi Arabia: a cross-sectional study

Albaraa A. Altowijri • Frontiers in Medicine (2026)

BackgroundThe learning environment (LE) is integral to medical students’ academic performance, emotional well-being, and professional development. Students’ perceptions of their learning environment provide valuable insights for identifying...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2026.1816941

Lipid peroxidation and DNA oxidation caused by dental filling materials

Mehmet Yıldız, Hamit Hakan Alp, Pınar Gül, Nuri Bakan et al. • Journal of Dental Sciences (2017)

Background/purpose: The two direct dental restorative materials most commonly used today are silver-mercury amalgam and resin-based composites. The purpose of this study was to examine the effects of these two restorative materials and subs...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jds.2017.02.002

Monitoring the spread of a pathogenic insect on vineyards using UAS

V. Longhi, A. Martino, A. M. Lingua, P. F. Maschio et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2024)

Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused signifi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLVIII-1-2024-443-2024

Presenting the students’ academic achievement causal model based on goal orientation

EBRAHIM NASIRI, ALI POUR-SAFAR, MAHDOKHT TAHERI, ABDULLAH SEDIGHI PASHAKY et al. • Journal of Advances in Medical Education and Professionalism (2017)

Introduction: Several factors play a role in academic achievement, individual’s excellence and capability to do actions and tasks that the learner is in charge of in learning areas. The main goal of this study was to present academic ach...

DOAJ Open Access (DOAJ)

Exhaust Emissions from Gasoline Vehicles with Different Fuel Detergency and the Prediction Model Using Deep Learning

Rongshuo Zhang, Hongfei Chen, Peiyuan Xie, Lei Zu et al. • Sensors (2023)

Enhancing gasoline detergency is pivotal for enhancing fuel efficiency and mitigating exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission characteristics with different gasoline detergency, explored syn...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23177655

Some results of the digital analysis of the semantic similarity of audiovisual translation texts (based on the films directed by Denis Villeneuve)

Aishat I. Lepshakova, Oleg V. Kurskikh • Актуальные проблемы филологии и педагогической лингвистики (2025)

The article analyses different translation versions of science fiction films directed by Denis Villeneuve with the aim of determining their semantic similarity through NLP analysis. There are four groups of metrics used in text analysis: se...

DOAJ Open Access (DOAJ) DOI: 10.29025/2079-6021-2025-1-132-150

A diagnostic model based on clinical indicators and radiomics features for superior labral anterior and posterior lesions in the shoulder joint

Hongyu Wang, Lin Wang, Lei Shi, Fei Wang et al. • Journal of Orthopaedic Surgery (2026)

Background Superior labrum anterior and posterior (SLAP) lesions are a common cause of shoulder pain and instability. Accurate diagnosis remains challenging in clinical practice. This study aims to develop and evaluate radiomics models and ...

DOAJ Open Access (DOAJ) DOI: 10.1177/10225536261418429

Identification of immune-associated biomarkers of diabetes nephropathy tubulointerstitial injury based on machine learning: a bioinformatics multi-chip integrated analysis

Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding et al. • BioData Mining (2024)

Abstract Background Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-st...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13040-024-00369-x

Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation

Arfat Ahmad Khan, Muhammad Asif Nauman, Rab Nawaz Bashir, Rashid Jahangir et al. • IEEE Access (2022)

Accurate Evapotranspiration for saline soils (ETs) is important as well as challenging for the reclamation of saline soils through an effective leaching process. Evapotranspiration (ET) by FAO-56 Penman-Monteith standard method is complex, ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3206009

A feature selection and scoring scheme for dimensionality reduction in a machine learning task

PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses • Journal of Nigerian Society of Physical Sciences (2025)

Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature select...

DOAJ Open Access (DOAJ) DOI: 10.46481/jnsps.2025.2273

Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups

Ebtisam AlJalaud, Manar Hosny • Mathematics (2024)

The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...

DOAJ Open Access (DOAJ) DOI: 10.3390/math12233727

Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

Xianguo Ren, Haiqing Tian, Kai Zhao, Dapeng Li et al. • Agriculture (2022)

pH value is a crucial indicator for evaluating silage quality. In this study, taking maize silage as the research object, a quantitative prediction model of pH value change during the secondary fermentation of maize silage was constructed b...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture12101623