Author(s): Borra D; Magosso E; Ravanelli M;

Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performance on a variety of decoding tasks. Despite their high performance, existing solutions do not fully address the challenge posed by the introduction of many hyperparameters, defining data pre-processing, network architecture, network training, and data augment ...

Article GUID: 39549492

Author(s): D' Inverno GA; Brugiapaglia S; Ravanelli M;

Graph Neural Networks (GNNs) have emerged as a powerful tool for data-driven learning on various graph domains. They are usually based on a message-passing mechanism and have gained increasing popularity for their intuitive formulation, which is closely linked to the Weisfeiler-Lehman (WL) test for graph isomorphism to which they have been proven equivale ...

Article GUID: 39426036

Author(s): Borra D; Paissan F; Ravanelli M;

Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional machine learning models. However, unlike other fields, EEG decoding lacks comprehensive open-source libraries dedicated to neural networks. Existing tools (MOABB and braindecode) prevent the creation of robust and complete decoding pipelines, as they lack suppo ...

Article GUID: 39265481

Author(s): Tomar R; Ghodke PP; Patra A; Smyth E; Pontarelli A; Copp W; Guengerich FP; Chaput JJ; Wilds CJ; Stone MP; Egli M;

a-l-(3'-2')-Threofuranosyl nucleic acid (TNA) pairs with itself, cross-pairs with DNA and RNA, and shows promise as a tool in synthetic genetics, diagnostics, and oligonucleotide therapeutics. We studied in vitro primer insertion and extension reactions catalyzed by human trans-lesion syn ...

Article GUID: 39259676

Author(s): Pourali M; Townsend C; Kross A; Guindon A; Jaeger JAG;

The dataset presented here provides the degree of urban sprawl across 33 Census Metropolitan Areas (CMAs) in Canada of 2011 together with the 469 Census Subdivisions (CSDs) located within the 2011 boundaries of the CMAs, for the years 1991, 2001, and 2011. The dataset contains the values of weighted urban proliferation (WUP) and weighted sprawl per capita ...

Article GUID: 35242923

Author(s): Lee K; Revelli M; Dickson D; Marier P;

Policy makers, practitioners, and scholars are increasingly examining the types of care services (formal vs. informal) offered to older adults. This study evaluates predictors of these adults' preferences for care types in Québec, Canada, based on a province-wide survey inserted in a magazine of the largest seniors' club in Canada (FADOQ). More th ...

Article GUID: 34886702

Author(s): Liczner C; Duke K; Juneau G; Egli M; Wilds CJ;

Over the past 25 years, the acceleration of achievements in the development of oligonucleotide-based therapeutics has resulted in numerous new drugs making it to the market for the treatment of various diseases. Oligonucleotides with alterations to their scaffold, prepared with modified nucleosides and solid-phase synthesis, have yielded molecules with in ...

Article GUID: 33981365

Author(s): Thombs BD; Levis B; Lyubenova A; Neupane D; Negeri Z; Wu Y; Sun Y; He C; Krishnan A; Vigod SN; Bhandari PM; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; ...

Objective: The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scores =7 on a 5-item version of the Edinburgh Postpartum Depression Scale (EPDS-5). The EPDS-5 was desi ...

Article GUID: 33104415

Author(s): Lyubenova A; Neupane D; Levis B; Wu Y; Sun Y; He C; Krishnan A; Bhandari PM; Negeri Z; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Ioannidis JPA; Cuijpers P; Gilbody S; Kloda LA; Patten SB; Shrier I; Ziegelstei ...

Objectives: Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any EPDS cutoff can accurately and consistently estimate depression prevalence in individual studies. Me ...

Article GUID: 33089942

Author(s): Wu Y; Levis B; Sun Y; Krishnan A; He C; Riehm KE; Rice DB; Azar M; Yan XW; Neupane D; Bhandari PM; Imran M; Chiovitti MJ; Saadat N; Boruff JT; Cuijpers P; Gilbody S; McMillan D; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein R ...

Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic intervi ...

Article GUID: 31911325

Author(s): Levis B; McMillan D; Sun Y; He C; Rice DB; Krishnan A; Wu Y; Azar M; Sanchez TA; Chiovitti MJ; Bhandari PM; Neupane D; Saadat N; Riehm KE; Imran M; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelste ...

Objectives: A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether s ...

Article GUID: 31568624