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Runtime Analysis of Typical Decomposition Approaches in MOEA/D for Many-Objective Optimization Problems.
Evol Comput
January 2025
College of Science, Northwest A&F University, Yangling 712100, China
Decomposition-based multi-objective evolutionary algorithms (MOEAs) are popular methods utilized to address many-objective optimization problems (MaOPs). These algorithms decompose the original MaOP into several scalar optimization subproblems, and solve them to obtain a set of solutions to approximate the Pareto front (PF). The decomposition approach is an important component in them.
View Article and Find Full Text PDFA solution to the pervasive problem of response bias in self-reports.
Proc Natl Acad Sci U S A
January 2025
School of Psychological Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia.
Self-reports are used ubiquitously to probe people's thoughts, feelings, and behaviors and inform medical decisions, enterprise operations, and government policy and legislation. Despite their pervasive use, self-report measures such as Likert scales have a profound problem: Standard analytic approaches do not control for the confounding effects of idiosyncratic response biases. Here, we present a model-based solution to this problem.
View Article and Find Full Text PDFPredictive modeling of breast cancer-related lymphedema using machine learning algorithms.
Gland Surg
December 2024
Department of Breast Oncology, Hainan Cancer Hospital, Haikou, China.
Background: Breast cancer-related lymphedema (BCRL) is one of the common complications after breast cancer surgery. It can easily lead to limb swelling, deformation and upper limb dysfunction, which has a serious impact on the physical and mental health and quality of life of patients. Previous studies have mostly used statistical methods such as linear regression and logistic regression to analyze the influencing factors, but all of them have certain limitations.
View Article and Find Full Text PDFIs germline genome-editing person-affecting or identity-affecting, and does it matter?
Bioethics
January 2025
Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Writers have debated whether germline genome-editing is person-affecting or identity-affecting. The difference is thought to be ethically relevant to whether we should choose genome-editing or choose preimplantation genetic diagnosis and embryo selection, when seeking to prevent or produce bad conditions (e.g.
View Article and Find Full Text PDFRecent life events and adverse childhood experiences in predicting antenatal depression and anxiety: cross-sectional study.
Fam Pract
January 2025
Department of Public Health, Centre for General Practice, University of Copenhagen, Øster Farimagsgade 5 1353, København K, Denmark.
Background: Antenatal depression and anxiety are associated with preterm labour, low birth weight, and postpartum depression, and can impact the emotional and mental development of the child. Both adverse childhood experiences and recent stressful events are linked to negative health outcomes. However, certain events may be more impactful than others.
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