Ethical codes help guide the methods of research that involve samples gathered from "at-risk" populations. The current paper reviews general as well as specific ethical principles related to gathering informed consent from partner violent offenders mandated to outpatient treatment, a group that may be at increased risk of unintentional coercion in behavioral sciences research due to court-mandates that require outpatient treatment without the ethical protections imbued upon prison populations. Recommendations are advanced to improve the process of informed consent within this special population and data supporting the utility of the recommendations in a sample 70 partner violent offenders are provided. Data demonstrate that participants were capable of comprehending all essential elements of consent.
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http://dx.doi.org/10.1080/10508422.2013.804795 | DOI Listing |
Clin Oral Investig
January 2025
Department of Biomedical and Neuromotor Sciences, Bologna University, Piazza di Porta S. Donato St 2, 40-127, Bologna, Italy.
Objectives: The purpose of this study was to propose a new difficulty score for the treatment of multiple gingival recessions (GRs) with Modified Coronally Advanced Tunnel (MCAT), and to test the score's reliability.
Material And Methods: A difficulty score was developed for the assessment and grading of 13 relevant anatomical parameters at baseline. Six experienced dental practitioners evaluated existing GRs in three patients.
Res Child Adolesc Psychopathol
January 2025
School of Education and Counseling Psychology, Santa Clara University, Santa Clara, CA, USA.
Preschool-onset major depressive disorder (PO-MDD) is an impairing pediatric mental health disorder that impacts children as young as three years old. There is limited work dedicated to uncovering neural measures of this early childhood disorder which could be leveraged to further understand both treatment responsiveness and future depression risk. Event-related potentials (ERPs) such as the P300 have been employed extensively in adult populations to examine depression-related deficits in cognitive and motivational systems.
View Article and Find Full Text PDFBackground: Transumbilical single-port sleeve gastrectomy (SPSG) is a minimally invasive bariatric surgery that offers cosmetic benefits. However, the procedure's feasibility in patients with higher BMI or taller stature remains debated. This study evaluates the outcomes of SPSG based on patient height and BMI.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Geography, Hong Kong Baptist University, Hong Kong SAR, China.
Land use changes profoundly affect hydrological processes and water quality at various scales, necessitating a comprehensive understanding of sustainable water resource management. This paper investigates the implications of land use alterations in the Gap-Cheon watershed, analyzing data from 2012 and 2022 and predicting changes up to 2052 using the Future Land Use Simulation (FLUS) model. The study employs the Hydrological Simulation Program-FORTRAN (HSPF) model to assess water quantity and quality dynamics.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Shollinganallur, Chennai, India.
Municipal waste classification is significant for effective recycling and waste management processes that involve the classification of diverse municipal waste materials such as paper, glass, plastic, and organic matter using diverse techniques. Yet, this municipal waste classification process faces several challenges, such as high computational complexity, more time consumption, and high variability in the appearance of waste caused by variations in color, type, and degradation level, which makes an inaccurate waste classification process. To overcome these challenges, this research proposes a novel Channel and Spatial Attention-Based Multiblock Convolutional Network for accurately classifying municipal waste that utilizes a unique attention mechanism for enhancing feature learning and waste classification accuracy.
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