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Comparing the impact of in-person vs. virtual 10-week family-based childhood obesity management program on anthropometric, cardiometabolic, and mental health outcomes

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


Geography, Ancestry, Age and Sex Shape Somatic Autosomal Mosaic Chromosomal Alterations in Blood

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


A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction

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


Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm

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


Effects of delayed post-polymerization on physical, chemical, and biological properties of a 3D printing interim resin

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


Colistin heteroresistance, mechanisms, diagnostic methods, and therapeutic options: A review

Author(s): Dehbanipour R; Maleki VTZ; Ghalavand Z;

The heteroresistance phenotype refers to the presence of bacterial subpopulations with reduced antibiotic susceptibility compared with the main population. Mathematical modelling and computer simulations suggest that heteroresistance can lead to negative treatment outcomes and finally, treatment failure. Due to the low frequency and resistance level of re ...

Article GUID: 40949035


Unraveling glyphosate sequestration: The role of natural organic matter fractions in soil-water contamination and retention

Author(s): Adeola AO; Paramo L; Duarte MP; Fuoco G; Naccache R;

The bioavailability and fate of pesticides in soil are largely influenced by soil's sorption characteristics. Therefore, the adsorption of pesticides, like glyphosate (GBH), onto soil natural organic matter (NOM) was investigated in this study. With the aid of sequential treatment methods of agricultural soil, NOM was modified to yield demineralized m ...

Article GUID: 40939356


The age of obesity onset affects changes in subcutaneous adipose tissue macrophages and T cells after weight loss

Author(s): Murphy J; Morais JA; Tsoukas MA; Cooke AB; Daskalopoulou SS; Santosa S;

Introduction: Adipose tissue inflammation, driven in part by immune cells, may contribute to the elevated type 2 diabetes risk in adults with childhood-onset obesity (CO) compared to those with adult-onset obesity (AO). Weight loss can modify adipose tissue immune cell composition, but whether these changes differ by obesity onset remains unknown. Method ...

Article GUID: 40831565


A portrait of online gambling: a look at a transformation amid a pandemic

Author(s): Kairouz S; Savard AC; Murch WS; Dixon MR; Martin NB; Brodeur M; Dauphinais S; Ferland F; Hamel D; Dufour M; French M; Monson E; Van Mourik V; Morvannou A;

Background: The COVID-19 pandemic brought about an extraordinary societal context in which the gambling offer was modified to meet public health measures intended to curb viral transmission. With many land-based gambling venues being forced to close, gambling opportunities were left almost exclus ...

Article GUID: 40770758


Prioritising methodological research questions for scoping reviews, mapping reviews and evidence and gap maps for health research: a protocol for PROSPECT Delphi study

Author(s): Pollock D; Hasanoff S; McBride G; Kanukula R; Tricco AC; Khalil H; Campbell F; Jia RM; Alexander L; Peters M; Vieira AM; Aromataris E; Nunn J; Saran A; Evans C; Godfrey C; Pieper D; de Moraes ÉB; Biesty L; Colquhoun H; Devane D; Toomey E ...

Introduction: Scoping reviews, mapping reviews and evidence and gap maps (collectively known as 'big picture reviews') in health continue to gain popularity within the evidence ecosystem. These big-picture reviews are beneficial for policy-makers, guideline developers and researchers with ...

Article GUID: 40759523


Advancements in Magnetorheological Foams: Composition, Fabrication, AI-Driven Enhancements and Emerging Applications

Author(s): Khodaverdi H; Sedaghati R;

Magnetorheological (MR) foams represent a class of smart materials with unique tunable viscoelastic properties when subjected to external magnetic fields. Combining porous structures with embedded magnetic particles, these materials address challenges such as leakage and sedimentation, typically encountered in conventional MR fluids while offering advanta ...

Article GUID: 40732777


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