Results 211 to 220 of about 187,501 (315)
Automatic Sleep Stage Scoring with Wavelet Packets Based on Single EEG Recording [PDF]
Luay Fraiwan+2 more
openalex +1 more source
“Who's breaking the law … not us, them!”: Inside immigration detention in Portugal
Abstract In this paper, we examine immigration detention in Portugal, a system whose daily operations and inherent violence are overlooked in both public and academic discourses. Even within community psychology, discussions on immigration detention have largely remained on the fringes of scholarly debates. Guided by a justice‐centered ecological lens,
Francesca Esposito+3 more
wiley +1 more source
Deep Convolutional Recurrent Model for Automatic Scoring Sleep Stages Based on Single-Lead ECG Signal. [PDF]
Urtnasan E, Park JU, Joo EY, Lee KJ.
europepmc +1 more source
Civic engagement among adolescents: Spanish adaptation and validation of the civic engagement scale
Abstract The aim of this research was to adapt and validate the Civic Engagement Scale (CES) developed by Doolittle & Faul for the Spanish adolescent population while providing empirical support for its psychometric properties. After administering the instruments to 965 adolescents from high schools, confirmatory factor analyses were conducted to ...
Patricia Ayllón‐Salas+2 more
wiley +1 more source
Single-channel EEG classification of sleep stages based on REM microstructure. [PDF]
Rechichi I+4 more
europepmc +1 more source
Automatic Sleep Stage Determination by Probabilistic Method Based on Experts' Knowledge
Masatoshi Nakamura+4 more
openalex +2 more sources
Abstract Migrant mothers of African origin (MMAO) face multiple situations of vulnerability in receiving societies, with implications for their right to the highest level of mental health. This study examines the intersecting social determinants that shape the experiences of suffering and well‐being expressed by MMAO engaged in transnational motherhood
Virginia Paloma+3 more
wiley +1 more source
SlumberNet: deep learning classification of sleep stages using residual neural networks. [PDF]
Jha PK, Valekunja UK, Reddy AB.
europepmc +1 more source
Sleep as a random walk: a super-statistical analysis of EEG data across sleep stages. [PDF]
Metzner C+4 more
europepmc +1 more source