Adaptive Evolution of Nearctic Deepwater Fish Vision: Implications for Assessing Functional Variation for Conservation.

Intraspecific functional variation is critical for adaptation to rapidly changing environments. For visual opsins, functional variation can be characterized in vitro and often reflects a species' ecological niche but is rarely considered in the context of intraspecific variation or the impact of recent environmental changes on species of cultural or commercial significance. Investigation of adaptation in postglacial lakes can provide key insight into how rapid environmental changes impact functional evolution.

Occurrence of postpartum manic or mixed episodes in women with bipolar I disorder: A systematic review and meta-analysis.

Objective: Accurate information on the frequency and prevalence of manic or mixed episodes is important for therapeutic, prognostic, and safety concerns. We aimed to estimate the risk of relapse of manic and mixed episodes after delivery in women with bipolar I disorder or schizoaffective disorder-bipolar type.

Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive literature search in PubMed, PsycINFO, Embase, and Cochrane databases was carried out on November 17, 2022, using the terms ((bipolar disorder) OR (manic depressive illness)) AND (mania)) AND (postpartum)) AND (recurrence)) AND (relapse).

A Review of Temperature Effects on Membrane Filtration.

Membrane technology plays a vital role in drinking water and wastewater treatments. Among a number of factors affecting membrane performance, temperature is one of the dominant factors determining membrane performance. In this review, the impact of temperature on membrane structure, fouling, chemical cleaning, and membrane performance is reviewed and discussed with a particular focus on cold temperature effects.

Biological performance and membrane fouling of a microalgal-bacterial membrane photobioreactor for wastewater treatment without external aeration and carbonation.

Biological nutrient removal processes involving the use of activated sludge (AS) to treat municipal wastewater normally result in high aeration energy consumption and significant greenhouse gas (GHG) emissions. Therefore, developing cost-efficient and environmentally friendly processes for wastewater treatment is vital. In this work, a novel non-aerated microalgal-bacterial membrane photobioreactor (MB-MPBR) was proposed, and its feasibility for organic contaminant and nutrient removals was evaluated, for the first time.

CONNECTing Concussion Care with Research Across Ontario.

Common data elements (CDEs) for concussion, as established by international bodies, are not being widely used in Ontario, resulting in significant variability in the data being assessed and collected across clinics. CDEs support standardization of care as well as large-scale data sharing for high impact research. A collaborative network - - comprised of health care professionals, researchers, members from advocacy groups, and patients was formed to establish and implement CDEs for concussion care and research.

Clarifying the pathway from anxiety sensitivity to binge eating: The mediating role of depressive symptoms in a 3-week, 3-wave longitudinal study of undergraduates.

Anxiety sensitivity (AS) - characterized by a persistent fear that arousal-related bodily sensations will lead to serious cognitive, physical, and/or social consequences - is associated with various psychopathologies, including depressive symptoms and binge eating. This 3-week, 3-wave longitudinal study examined the relation between AS (including its global AS factor and lower-order AS cognitive, physical, and social concern dimensions), depressive symptoms, and binge eating among 410 undergraduates from two universities. Using generalized estimating equation models, we found that global AS, AS social concerns, and depressive symptoms predicted binge eating during any given week.

Thiol-Ene Click Reaction in Constructing Liquid Separation Membranes for Water Treatment.

In the evolving landscape of water treatment, membrane technology has ascended to an instrumental role, underscored by its unmatched efficacy and ubiquity. Diverse synthesis and modification techniques are employed to fabricate state-of-the-art liquid separation membranes. Click reactions, distinguished by their rapid kinetics, minimal byproduct generation, and simple reaction condition, emerge as a potent paradigm for devising eco-functional materials.

Careful considerations for the treatment of posttraumatic stress disorder during and following pregnancy.

Introduction: The focus on perinatal mental health has expanded recently, though there is less research on post-traumatic stress disorder (PTSD). Therefore, a review of the literature was undertaken and coupled with expert clinical insights to discuss current clinical practice recommendations for PTSD in the perinatal period.

Areas Covered: This review covers considerations for the assessment, prevention, and treatment of PTSD during the perinatal period.

PaCMAP-embedded convolutional neural network for multi-omics data integration.

Aims: The multi-omics data integration has emerged as a prominent avenue within the healthcare industry, presenting substantial potential for enhancing predictive models. The main motivation behind this study stems from the imperative need to advance prognostic methodologies in cancer diagnosis, an area where precision is pivotal for effective clinical decision-making. In this context, the present study introduces an innovative methodology that integrates copy number alteration (CNA), DNA methylation, and gene expression data.

Optimization of syngas production from co-gasification of palm oil decanter cake and alum sludge: An RSM approach with char characterization.

The study explores co-gasification of palm oil decanter cake and alum sludge, investigating the correlation between input variables and syngas production. Operating variables, including temperature (700-900 °C), air flow rate (10-30 mL/min), and particle size (0.25-2 mm), were optimized to maximize syngas production using air as the gasification agent in a fixed bed horizontal tube furnace reactor.

Addressing experiences of trauma within Indigenous-focused substance use residential treatment: a systematic review and environmental scan.

Indigenous individuals in Canada disproportionally experience higher rates of substance use concerns. This study examined clinical practices currently implemented with Indigenous-led residential treatment facilities to simultaneously address substance use and post-traumatic stress. A systematic review of relevant literature retrieved published approaches to address these concurrent disorders with Indigenous individuals.

Dual lignin-derived polymeric system for peptone removal from simulated wastewater.

The long-term existence of peptone can breed a large number of bacteria and cause the eutrophication of municipal wastewater. Thus, removing peptone in the wastewater is a major challenge facing the current industry. This study used cationic and anionic lignin polymers, i.

Shade Effect on Phenology, Fruit Yield, and Phenolic Content of Two Wild Blueberry Species in Northwestern Ontario, Canada.

We studied the effect of shade on the phenology, growth, berry yield, and chemical content of two common blueberry species ( and ) in Northwestern Ontario. We hypothesized that high shade would delay vegetative and reproductive phenology and decrease berry yield by increasing resource allocation to vegetative vs. reproductive growth, whereas moderate shade would increase berry phenolic content and antioxidant capacity.

Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics.

Diabetic retinopathy (DR), a common ocular microvascular complication of diabetes, contributes significantly to diabetes-related vision loss. This study addresses the imperative need for early diagnosis of DR and precise treatment strategies based on the explainable artificial intelligence (XAI) framework. The study integrated clinical, biochemical, and metabolomic biomarkers associated with the following classes: non-DR (NDR), non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR) in type 2 diabetes (T2D) patients.

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients.

Heart failure (HF) is a leading cause of mortality worldwide. Machine learning (ML) approaches have shown potential as an early detection tool for improving patient outcomes. Enhancing the effectiveness and clinical applicability of the ML model necessitates training an efficient classifier with a diverse set of high-quality datasets.

The mental health impacts of the COVID-19 pandemic among individuals with depressive, anxiety, and stressor-related disorders: A scoping review.

Objective: A scoping review of studies published in the first year of the COVID-19 pandemic focused on individuals with pre-existing symptoms of depression, anxiety, and specified stressor-related disorders, with the objective of mapping the research conducted.

Eligibility Criteria: (1) direct study of individuals with pre-existing depressive, anxiety, and/or specified stressor-related (i.e.

Criminal Code reform of HIV non-disclosure is urgently needed: Social science perspectives on the harms of HIV criminalization in Canada.

The criminalization of HIV non-disclosure represents a significant issue of concern among people living with HIV, those working across the HIV sector, public health practitioners, and health and human rights advocates around the world. Recently, the government of Canada began a review of the criminal law regarding HIV non-disclosure and invited feedback from the public about potential reforms to the Criminal Code. In light of this public consultation, this commentary examines social science research from Canadian scholars that documents the intersecting damaging effects of HIV criminalization.

Deep learning-based concrete defects classification and detection using semantic segmentation.

Visual damage detection of infrastructure using deep learning (DL)-based computational approaches can facilitate a potential solution to reduce subjectivity yet increase the accuracy of the damage diagnoses and accessibility in a structural health monitoring (SHM) system. However, despite remarkable advances with DL-based SHM, the most significant challenges to achieving the real-time implication are the limited available defects image databases and the selection of DL networks depth. To address these challenges, this research has created a diverse dataset with concrete crack (4087) and spalling (1100) images and used it for damage condition assessment by applying convolutional neural network (CNN) algorithms.

Comorbid substance use disorder, major depression, and associated disability in a nationally representative sample.

Background: Major depressive disorders (MDD) and substance use disorders (SUDs) are commonly linked to disability, but there is a lack of research on the risk of disability among individuals who have both SUDs and MD in the general population. This study aimed to investigate the associated risk of disability in people with comorbid SUDs- specifically cannabis use disorder, alcohol use disorder, other drug (except cannabis) use disorder, and a major depressive episode using a nationally representative sample.

Methods: The 2012 Canadian Community Health Survey- Mental Health (CCHS-MH) data were analyzed using multilevel logistic regression models.

An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites.

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex and debilitating illness with a significant global prevalence, affecting over 65 million individuals. It affects various systems, including the immune, neurological, gastrointestinal, and circulatory systems. Studies have shown abnormalities in immune cell types, increased inflammatory cytokines, and brain abnormalities.

R3-Noria-methanesulfonate: A Molecular Cage with Superior Hyperpolarized Xenon-129 MRI Contrast.

Hyperpolarized (HP) xenon-129 (Xe) magnetic resonance imaging (MRI) has the potential to be used as a molecular imaging modality. For this purpose, numerous supramolecular cages have been developed and evaluated in the past. Herein, we report a novel and unique macrocycle that can be successfully utilized for xenon MRI, the resorcinarene trimer methanesulfonate (R3-Noria-MeSOH).

Cucurbit[6]uril Hyperpolarized Chemical Exchange Saturation Transfer Pulse Sequence Parameter Optimization and Detectability Limit Assessment at 3.0T.

The front cover artwork is provided by Prof. Mitchell S. Albert's group at Lakehead University.