Noninvasive prediction of coronary artery disease severity: Comparative analysis of electrocardiographic findings and risk factors with SYNTAX and Gensini score. [PDF]
Mirjalili FS+8 more
europepmc +1 more source
Study of the syntax of Algol - Application to the compilation
Georg Werner
openalex +1 more source
Abstract Scholars increasingly raise concerns about the alleged detrimental impact of affective polarization on citizens’ democratic attitudes. Yet, prior studies on the relationship between affective polarization and democratic support have yielded mixed results: Whereas some scholars report evidence that affective polarization erodes citizens ...
LISA JANSSEN, EMMA TURKENBURG
wiley +1 more source
Corrigendum: Esports Physical Exercise/Performance Matrix 1.0 Country Factsheets: a protocol for national, regional, and global annual assessment. [PDF]
Long B+4 more
europepmc +1 more source
Chasing the authoritarian spectre: Detecting authoritarian discourse with large language models
Abstract The paper introduces a deep‐learning model fine‐tuned for detecting authoritarian discourse in political speeches. Set up as a regression problem with weak supervision logic, the model is trained for the task of classification of segments of text for being/not being associated with authoritarian discourse.
MICHAL MOCHTAK
wiley +1 more source
Gene syntax defines supercoiling-mediated transcriptional feedback
Johnstone CP+14 more
europepmc +1 more source
A Synergistic Effect of Remnant Cholesterol and C-Reactive Protein on Predicting the Severity of Coronary Artery Disease. [PDF]
Zhang Z+15 more
europepmc +1 more source
How do masses react to party polarization? Limited effect of party polarization on mass polarization
Abstract Elite ideological polarization is rising in Western democracies. Is this elite ideological polarization associated with mass ideological polarization? I argue that when a party adopts a more extreme position, the masses polarize via two mechanisms.
SEMIH ÇAKıR
wiley +1 more source
Evaluation of spatial visual perception of streets based on deep learning and spatial syntax. [PDF]
Yu M+5 more
europepmc +1 more source