Background: Machine Learning (ML) models have been used to predict common mental disorders (CMDs) and may provide insights into the key modifiable factors that can identify and predict CMD risk and be targeted through interventions. This systematic review aimed to synthesise evidence from ML studies predicting CMDs, evaluate their performance, and establish the potential benefit of incorporating lifestyle data in ML models alongside biological and/or demographic-environmental factors.
Methods: This systematic review adheres to the PRISMA statement (Prospero CRD42023401194).
Background: Mood disorders, including unipolar and bipolar depression, contribute significantly to the global burden of disease. Psychological therapy is considered a gold standard non-pharmacological treatment for managing these conditions; however, a growing body of evidence also supports the use of lifestyle therapies for these conditions. Despite some clinical guidelines endorsing the application of lifestyle therapies as a first-line treatment for individuals with mood disorders, there is limited evidence that this recommendation has been widely adopted into routine practice.
View Article and Find Full Text PDFMolecular imprinted polymers (MIPs) were developed by carrying out the cocktail solution of Template ((Salata, 2004)-Gingerol), monomer, crosslinker, and AgS Quantum Dots (QDs) by ex-situ dissolved in an appropriate solvent, resulting in an efficient crosslinked polymer composite. Degradation of Alizarin red S (ARS) dye and yellowish sunset (SY) azo dye under visible light irradiation was reported first time by the introduction of prepared MIPs composite. In this research, the result shows efficient photocatalyt activity of AgS-MIPs composite for the degradation of AR and SY dye with degradation% (80%) and (84%) in the aqueous wastewater.
View Article and Find Full Text PDFHere, synthesis and thorough characterization of β-NaFeO nanoparticles utilizing a co-precipitation technique is presented. XRD analysis confirmed a hexagonal-phase structure of β-NaFeO. SEM revealed well-dispersed spherical nanoparticles with an average diameter of 45 nm.
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