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Evolution of the Shadow Effect with Film Thickness and Substrate Conductivity on a Hemispherical Workpiece during Magnetron Sputtering

Huaiyuan Liu, Donglin Ma, Yantao Li, Lina You et al. • Metals (2023)

When depositing films on a complex workpiece surface by magnetron sputtering, the shadow effect occurs and causes the columnar structure to tilt toward the substrate owing to the oblique incident angle of the plasma flux, affecting the micr...

DOAJ Open Access (DOAJ) DOI: 10.3390/met13010165

Active galactic nucleus activity in nearby disk galaxies: The roles of bar strength and spiral arm morphology

Martirosyan Zh. R., Hakobyan A. A., Adibekyan V., Barkhudaryan L. V. et al. • Astronomy & Astrophysics (2026)

Context. The transport of gas toward galactic centers and its connection to active galactic nucleus (AGN) activity remain key open questions in galaxy evolution. In particular, the relative roles of stellar bars and spiral arms and their po...

DOAJ Open Access (DOAJ) DOI: 10.1051/0004-6361/202661413

Evolution of use and overuse of triptans in Austria – What has changed in the last 15 years?

Katharina Kaltseis, Sarah Maier, Karin Zebenholzer, Michael Thomas Eller et al. • The Journal of Headache and Pain (2026)

Abstract Background Triptans are highly effective acute treatments for migraine attacks, yet population-level data suggest persistent underuse. Updated real-world data on triptan use and overuse in Austria are lacking. Methods This nationwi...

DOAJ Open Access (DOAJ) DOI: 10.1186/s10194-026-02332-z

Topical Pharmacological Treatment of Actinic Keratoses: Focus on Tirbanibulin 1% Ointment

Mario Valenti, Matteo Bianco, Alessandra Narcisi, Antonio Costanzo et al. • Dermatology Practical & Conceptual (2024)

Actinic keratosis (AK) is a frequent precancerous skin lesion that mostly affects chronically sun-exposed areas. Chronic sun damage leads to various mutations in onco-suppressor and oncogenic genes which cause an uncontrolled proliferation ...

DOAJ Open Access (DOAJ) DOI: 10.5826/dpc.1403S1a145S

Nuclear genomic signals of the ‘microturbellarian’ roots of platyhelminth evolutionary innovation

Christopher E Laumer, Andreas Hejnol, Gonzalo Giribet • eLife (2015)

Flatworms number among the most diverse invertebrate phyla and represent the most biomedically significant branch of the major bilaterian clade Spiralia, but to date, deep evolutionary relationships within this group have been studied using...

DOAJ Open Access (DOAJ) DOI: 10.7554/eLife.05503

The JWST Resolved Stellar Populations Early Release Science Program. VIII. The Spatially Resolved Star Formation History of WLM

Roger E. Cohen, Kristen B. W. McQuinn, Alessandro Savino, Max J. B. Newman et al. • The Astrophysical Journal (2025)

Radial stellar population gradients within dwarf galaxies provide a promising avenue for disentangling the drivers of galaxy evolution, including environment. Within the Local Volume, radial stellar age gradient slopes correlate with intera...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/adb61d

Advances in ultrashallow doping of silicon

Chufan Zhang, Shannan Chang, Yaping Dan • Advances in Physics: X (2021)

Ultrashallow doping is required for both classical field-effect transistors in integrated circuits and revolutionary quantum devices in quantum computing. In this review, we give a brief overview on recent research advances in three technol...

DOAJ Open Access (DOAJ) DOI: 10.1080/23746149.2020.1871407

Blockchain Metamorphosis: Transforming Traditional Finance through Decentralization and Transparency

Mays Moneer Abd Ali, Bashar M. Nema • Iraqi Journal for Computers and Informatics (2024)

This study investigates how decentralization and transparency offered by blockchain technology could revolutionize traditional finance. Even with the rise of well-known cryptocurrencies such as Bitcoin and Ethereum, a general understanding ...

DOAJ Open Access (DOAJ) DOI: 10.25195/ijci.v50i1.481

Empowering Students for Cybersecurity Awareness Management in the Emerging Digital Era: The Role of Cybersecurity Attitude in the 4.0 Industrial Revolution Era

Bulbul Ahamed, Mohammad Rashed Hasan Polas, Ahmed Imran Kabir, Abu Saleh Md. Sohel-Uz-Zaman et al. • SAGE Open (2024)

The purpose of the study is to examine how cybersecurity knowledge, password security, and self-perception of skill affect cybersecurity awareness issues via the mediating lens of cybersecurity attitude among university students in Banglade...

DOAJ Open Access (DOAJ) DOI: 10.1177/21582440241228920

Bias and Fairness in Natural Language Processing

Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP) (2019)

Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...

OPENALEX

A bibliometric analysis of natural language processing in medical research

Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making (2018)

BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-018-0594-x PMC: 5872501

Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis

Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information (2025)

Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...

DOAJ Open Access (DOAJ) DOI: 10.3390/info16050358

Applications of natural language processing and large language models in materials discovery

Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials (2025)

The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1038/s41524-025-01554-0