Author(s): Alicia Estefania Antonio Figueroa

This work implements deep learning models to capture non-linear and complex data behavior in aluminum price data. Deep learning models include the long short-term memory (LSTM) and deep feedforward neural networks (FFNN). The support vector regression (SVR) is employed as a base model for comparison. Each predictive model is tuned by using two different o ...

Article GUID: 41751647

Author(s): Kwok C; Sacco S; Lister NB; Alberga AS; Baur LA; Booij L; Carrière K; Garnett SP; Jebeile H;

Background: Pediatric obesity is associated with co-occurring psychosocial conditions, which may be impacted by obesity treatment. Past systematic reviews have shown positive effects for specific psychosocial outcomes following behavioral interventions. This review aimed to extend these findings ...

Article GUID: 41736559

Author(s): Jeanningros A; Côté M; Forouhar V; Aimé A; Lavallière M; Blackburn P; Maïano C; Alberga AS; Baillot A;

Objective: This study aims to explore the factors associated with weight bias (WB) among university students in psychosocial, health and education programs. Participants and Methods: WB attitudes were assessed among 585 university students using the Anti-Fat Attitudes (AFA) Questionnaire. Socio-d ...

Article GUID: 41718586

Author(s): Sacco S; Booij L; Kwok C; Carrière K; Hall K; Baluyot TC; Forouhar V; Côté M; Pietrasik M; Jebeile H; Ball GDC; Johnston BC; Alberga AS;

Background: Many children and adolescents with overweight or obesity experience negative psychosocial health consequences. Systematic reviews show that behavioral interventions can help improve specific psychosocial outcomes. This scoping review aims to identify and map the different types of psy ...

Article GUID: 41601261

Author(s): Calvo N; Phillips N; Bialystok E; Einstein G;

Introduction: The relationship between biological sex, considered a risk factor for Alzheimer's disease (AD), and bilingualism, a resilience factor, is unclear. We assessed this relationship in 335 individuals with mild cognitive impairment (MCI) in a Canadian cohort. Methods: We used univariate analysis and structural equation modelling to study the ...

Article GUID: 41573422

Author(s): Sui J; Bi H; Yue R; Fu H; Yang A; An C;

Persistent oil contamination along coastlines can be treated by surface washing agents (SWAs), while low-temperature conditions can significantly impact the effectiveness of SWAs in oil removal. This study investigates the oil removal performance of a commercial SWA for oiled shoreline sand in cold-region environments. Batch oil removal tests were conduct ...

Article GUID: 41544565

Author(s): Heidl AJ; Sun D; Faustini C; Gierc M; Bains A; Cohen TR;

Objectives: To compare differences in patient outcomes in individuals living with overweight and obesity who attended a 10-week multidisciplinary program delivered virtually vs. participants who completed the program in-person. Methods: Data from 27 youth (8-18 years old) who attended virtual programming were matched by sex and body mass index (BMI) z-sc ...

Article GUID: 41332896

Author(s): Won Kang JR; Kim YJ; Skead K; Soave D; Evans J; Bruat V; Harwood MP; Morris Q; Matovu E; Mulindwa J; Noyes H; McLeod A; Hazelhurst S; Lombard Z; Ramsay M; Fave MJ; Awadalla P;

Clonal hematopoiesis, through the age-associated accumulation of somatic mutations in blood, is strongly associated with hematological malignancies and other chronic diseases. These mutations have largely been characterized in individuals of European ancestry or environments, and consequently, it ...

Article GUID: 41282824

Author(s): Zhang Y; Lahmiri S;

Crude oil price forecasting is an important task in energy management and storage. In this regard, deep learning has been applied in the literature to generate accurate forecasts. The main purpose of this study is to design an ensemble prediction system based on various deep learning systems. Specifically, in the first stage of our proposed ensemble syste ...

Article GUID: 41294965

Author(s): Lahmiri S; Tadj C; Gargour C;

Voice analysis and classification for biomedical diagnosis purpose is receiving a growing attention to assist physicians in the decision-making process in clinical milieu. In this study, we develop and test deep feedforward neural networks (DFFNN) to distinguish between healthy and unhealthy newborns. The DFFNN are trained with acoustic features measured ...

Article GUID: 41294952

Author(s): Choi Y; Comeau P; Lim BS; Manso AP; Chung SH;

Objectives: This study evaluated the effects of delayed post-polymerization on color, degree of conversion (DC), flexural strength (FS), and cellular response of a 3D-printed dental interim resin. Methods: Specimens were divided into six groups based on delays of 0 h, 2 h, 4 h, 6 h, 8 h, and 10 h before post-polymerization. Color was characterized using ...

Article GUID: 41152035