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Laisvės, Krikščioniškojo Tikėjimo Raiškos ir Cenzūros Sankirtos Grožinės Literatūros Vertimuose: Harrietos Beecher Stowe Romano „Dėdės Tomo Trobelė“ Atvejis
Article

Laisvės, Krikščioniškojo Tikėjimo Raiškos ir Cenzūros Sankirtos Grožinės Literatūros Vertimuose: Harrietos Beecher Stowe Romano „Dėdės Tomo Trobelė“ Atvejis

Giedrė Pranaitytė
Mental Marketing and Political Leadership: A Quantitative and Comparative Analysis of Trump, Obama, and Berlusconi
Article

Mental Marketing and Political Leadership: A Quantitative and Comparative Analysis of Trump, Obama, and Berlusconi

Elsa Gega
Volume 15 (2025): Issue 3 (December 2025)
Issue

Volume 15 (2025): Issue 3 (December 2025)

Volume 43 (2025): Issue 1 (December 2025)
Issue

Volume 43 (2025): Issue 1 (December 2025)

Volume 11 (2025): Issue 3 (December 2025)
Issue

Volume 11 (2025): Issue 3 (December 2025)

Volume 27 (2025): Issue 1 (December 2025)
Issue

Volume 27 (2025): Issue 1 (December 2025)

Towards fair AI in Estonia’s public service: discussing and disseminating bias prevention in automated decision-making
Article

Towards fair AI in Estonia’s public service: discussing and disseminating bias prevention in automated decision-making

Kristi Joamets
The right to private life in Albanian Constitutional and ECHR Case law
Article

The right to private life in Albanian Constitutional and ECHR Case law

Lirime Cukaj, Iliba Bezati
The Applicability of Spolsky’s Tripartite Model in Three Contexts
Article

The Applicability of Spolsky’s Tripartite Model in Three Contexts

Zsófia Fülöp, Zahia Flih, Beyza Nur Gürses, Szilvia Bátyi
Pastoral Reflections on St. Augustine’s Ordo Amoris
Article

Pastoral Reflections on St. Augustine’s Ordo Amoris

Keith Goad
Aquinas at 800 – Papers from the 2024 Notre Dame Conference: Human Nature and Original Sin in Thomas Aquinas
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Aquinas at 800 – Papers from the 2024 Notre Dame Conference: Human Nature and Original Sin in Thomas Aquinas

Harm Goris
Intelligent AML systems: using deep learning to detect financial fraud
Article

Intelligent AML systems: using deep learning to detect financial fraud

Olga Pavlova, Viacheslav Askerov, Bohdan Tomchyshen, Tetiana Hovorushchenko