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Showing 13 of 33 academic articles

The role of the Cybersecurity Strategy of the Republic of Poland in ensuring cybersecurity

Mirosław Karpiuk, Anna Makuch, Urszula Soler • Polish Political Science Yearbook (2023)

Cybersecurity belongs to the area of activity of state and supra-state actors, giving direction to national and international systems of law as components of national and supranational systems of political, economic, military cooperation, e...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.15804/ppsy202383

Neuromodulation Effect According to Lesion Location After Dual-Mode Brain Stimulation in Patients with Subacute Stroke: A Preliminary Study

Minji Lee, Wanjoo Park, Eunhee Park, Soon-Jae Kweon et al. • Applied Sciences (2024)

Dual-mode non-invasive brain stimulation using repetitive transcranial magnetic stimulation and transcranial direct current stimulation is known to help neurorehabilitation in patients with stroke. However, this neuromodulation effect may v...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14219636

Advancing sovereign ESG performance in China through renewable energy industrialization and government effectiveness

Mohammad Ridwan, Jeremy Ko, Afsana Akther, S. Arafat Ayon et al. • Discover Sustainability (2026)

Abstract This study examines the relationship between renewable energy use, industrialization, governance effectiveness, population growth, and technological innovation, and sovereign environmental, social, and governance (ESG) performance,...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-026-04105-9

Performance debugging for distributed systems of black boxes

Marcos K. Aguilera, Jeffrey C. Mogul, Janet L. Wiener, Patrick Reynolds et al. • ACM SIGOPS Operating Systems Review (2003)

Many interesting large-scale systems are distributed systems of multiple communicating components. Such systems can be very hard to debug, especially when they exhibit poor performance. The problem becomes much harder when systems are compo...

OPENALEX DOI: https://doi.org/10.1145/1165389.945454

Causal analysis between altered levels of interleukins and obstructive sleep apnea

Minhan Yi, Minhan Yi, Minhan Yi, Wangcheng Zhao et al. • Frontiers in Immunology (2022)

BackgroundInflammation proteins including interleukins (ILs) have been reported to be related to obstructive sleep apnea (OSA). The aims of this study were to estimate the levels for several key interleukins in OSA and the causal effects be...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2022.888644

Studying the causes of humidity fluctuations in food products within industrial environments

Elouanes Khelifi, Amir Saki, Sousso Kelouwani, Usef Faghihi • Applied Food Research (2026)

The production of processed foods and animal nutrition requires precise control over product characteristics to ensure consistent quality. Unexpected fluctuations in key parameters, particularly humidity, can lead to significant financial l...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102698

Text Data Augmentation for Deep Learning

Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht • Journal Of Big Data (2021)

Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with the major motifs of Data Augme...

OPENALEX cc-by DOI: https://doi.org/10.1186/s40537-021-00492-0 PMC: 8287113

Epistemic frontiers and the distinction between causality, information, and predictability in pattern recognition

Pablo Neirz, Héctor Allende, Carolina Saavedra • Scientific Reports (2026)

Abstract High predictive accuracy is frequently misinterpreted as evidence of causal understanding or population-level signal. Models can exploit spurious correlations, confounding, or protocol-induced artefacts, while post-hoc explanations...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-52883-z

From Causes to Forecasts: Granger Causality and Machine Learning Predictions of Housing Sales in Türkiye

Musa Gün, Ahmet Akusta, Haydar Karadağ • İstanbul İktisat Dergisi (2025)

This study aims to examine the impact of macro-financial indicators on the housing sales volume in Türkiye and evaluate the forecasting performance of traditional time-series models versus modern machine-learning algorithms. Using monthly d...

DOAJ Open Access (DOAJ) DOI: 10.26650/ISTJECON2025-1707729

Causality for Machine Learning

Bernhard Schölkopf • ACM eBooks (2022)

Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning. This article discusses where links have been and should ...

OPENALEX Open Access DOI: https://doi.org/10.1145/3501714.3501755