ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley +1 more source
The EU's Strategy for Sustainability: A Landmark Turn With the European Green Deal?
ABSTRACT While the European Green Deal (EGD) has been widely recognized as a milestone in the EU's sustainability strategy, scholars disagree on the nature of the policy change it represents. Critics highlight its limited social and environmental ambitions, despite its portrayal as a “man on the moon” moment.
Ekaterina Domorenok, Franco Gatti
wiley +1 more source
Pretraining effective T5 generative models for clinical and biomedical applications. [PDF]
Althabiti S +4 more
europepmc +1 more source
Self‐limited neonatal epilepsy with 2q24.3 duplications: Case series and literature review
Abstract Objective To clarify the phenotypic spectrum associated with duplications involving the 2q24.3 region, which includes a cluster of genes encoding sodium channel subunits (SCN1A, SCN2A, SCN3A, SCN7A, and SCN9A). Methods We reviewed our research database for patients with epilepsy and 2q24.3 duplication and performed thorough phenotyping.
Saba Al Rawahi, Kenneth A. Myers
wiley +1 more source
Risk Factors for Children's Vocabulary Performance: Background Variables and Parental Concerns. [PDF]
Hashoul-Essa L, Armon-Lotem S.
europepmc +1 more source
Abstract Intracranial electroencephalographic (iEEG) connectivity analysis is a promising method to localize epileptic networks and guide surgical planning in focal drug‐resistant epilepsy. Despite numerous studies exploring its utility, the added value of iEEG connectivity over standard clinical presurgical evaluation remains unclear.
Nishant Sinha +15 more
wiley +1 more source
Retraction Note: Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy. [PDF]
Rimal Y +5 more
europepmc +1 more source
Abstract Objective Anterior temporal lobe resection (ATLR) is an effective treatment for drug‐resistant temporal lobe epilepsy (TLE) but carries a substantial risk of language impairment, particularly in naming. Understanding and predicting the impact of ATLR on language functions remains a major clinical challenge.
Karl‐Heinz Nenning +8 more
wiley +1 more source
Medical knowledge representation enhancement in large language models through clinical tokens optimization. [PDF]
Li Q +5 more
europepmc +1 more source
Machine-interpretable dataset and service descriptions for heterogeneous data access and retrieval [PDF]
Alexander K. +11 more
core +1 more source

