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Brine management via reverse osmosis-based technologies: Energy consumption, performance limits, economic feasibility, and practical applicability

Author(s): Khaled Touati

Effective brine management remains a major challenge for the desalination industry, particularly as plants encounter increasingly high-salinity waste streams. This study presents a comparative performance assessment of advanced reverse osmosis-based technologies, low-salt-rejection reverse osmosis (LSRRO), high-pressure reverse osmosis (HPRO), osmotically ...

Article GUID: 41389752


Intraspecific complexity in mercury contamination of two harvested fishes revealed by genetics: Food security and conservation implications

Author(s): Gibelli J; Michaelides S; Won H; Chamlian B; Bampfylde C; Maclean B; Giroux P; Gray QZ; Voyageur M; Jeon HB; Bouchard R; Fraser DJ;

Contaminants in harvested species can pose serious concerns for health and food security. However, the risks of contaminant exposure can be challenging to track as many species migrate extensively between breeding and feeding environments and usually form genetically distinct populations. Such in ...

Article GUID: 41380599


Activation of infralimbic cortex neurons projecting to the nucleus accumbens shell suppresses discriminative stimulus-triggered relapse to cocaine seeking in rats

Author(s): Algallal HE; Laplante I; Casale D; Najafipashaki S; Pomerleau A; Paquette T; Samaha AN;

Rationale: Cocaine addiction is marked by high relapse rates, often triggered by drug-associated cues in the environment. These can be conditioned stimuli (CSs), which occur after drug intake and signal drug delivery, and discriminative stimuli (DSs), which signal that seeking responses will produce drug, before any such responses have been initiated (i.e ...

Article GUID: 41372546


Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study

Author(s): Titov A; Drouin S; Kersten-Oertel M;

Background: One of the bottlenecks of visualization research is the lack of volunteers for studies that evaluate new methods and paradigms. The increased availability of web-based marketplaces, combined with the possibility of implementing volume rendering, a computationally expensive method, on mobile devices, has opened the door for using gamification i ...

Article GUID: 41341989


Strengthening community-based fisheries monitoring programs with Indigenous perspectives

Author(s): Dewan K; Mulrennan ME; Georgekish E;

Community-based monitoring (CBM) programs are increasingly recognized as essential for adaptive environmental stewardship. Yet, the CBM literature often highlights successful cases and privileges evaluations by external experts over those of community members themselves. To address this gap, we drew on insights from 23 semistructured interviews with Cree ...

Article GUID: 41332192


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


Web-Based Formal Versus Informal Mindfulness Programs for University Students With and Those Without Recent Self-Injury: Randomized Controlled Trial

Author(s): Petrovic J; Mettler J; Böke BN; Rogers MA; Hamza CA; Bloom E; Di Genova L; Romano V; Heath NL;

Background: Mindfulness-based programming (MBP) is increasingly being implemented within university settings to support students' mental health, and it typically includes the instruction of formal mindfulness (FM) and informal mindfulness (IM) activities. However, recent evidence suggests tha ...

Article GUID: 41313154


A comparison of municipal waste collection policies to optimize recycling rates: Evidence from England and Wales

Author(s): Wilansky J; Cao K;

This study investigated the effectiveness of municipal waste collection policies within England and Wales by examining how variations in local waste management strategies correlate with recycling rates. Using data from 297 council districts, we analysed the impact of different policy variables (frequency of residual waste and recycling collection, sorting ...

Article GUID: 41297338


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


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