Results 191 to 200 of about 63,931 (315)

Screening of the founder pathogenic variants BRCA1 and BRCA2 in Russian metropolitan women. [PDF]

open access: yesBMC Womens Health
Bodunova N   +9 more
europepmc   +1 more source

Minor epic: Notes toward a different “Anthropoetry”

open access: yesAnthropology and Humanism, Volume 51, Issue 1, June 2026.
Abstract Anthropologists have often turned to poetry as a means of accessing emotional registers of which conventional academic prose is unable to avail. In doing so, they have tacitly conflated poetry with lyric poetry, today probably the most widely practiced poetic genre, associated in particular with the expression of inner feelings and subjectival
Stuart McLean
wiley   +1 more source

Mapping Disjuncture: Internationalism and Palestine

open access: yesArea, Volume 58, Issue 2, June 2026.
Short Abstract This paper reflects on a ‘Map Conversation’ session at the 2024 RGS‐IBG Annual Conference, that explored maps of the League of Nations and Palestine. The authors contrast maps promoting global consciousness in the 1920s with those charting colonial encroachment in Palestine.
Zena Agha, Jake Hodder
wiley   +1 more source

The Autobiography of Solomon Maimon [PDF]

open access: yes, 2018
Maimon, Solomon   +2 more
core  

Beyond Negated Identity: Mediating the World History Classroom through Adorno's Negative Dialectics

open access: yesEducational Theory, Volume 76, Issue 3, Page 395-419, June 2026.
Abstract This article centers on Adorno's negative dialectics to account for experiences of alienation and marginalization within the world history classroom. It begins with the problem of how marginalization occurs in high school world history classrooms with predominantly Black and Latinx students.
Tadashi Dozono
wiley   +1 more source

Yedies fun YIVO [PDF]

open access: yes, 2003
Yivo Institute for Jewish Research
core  

Fairness at Risk: Where Bias Emerges in Machine Learning

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque   +2 more
wiley   +1 more source

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