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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Comparative Analysis of Logistic Regression and Machine Learning Algorithms for Predicting De Novo Stress Urinary Incontinence or Symptomatic Worsening Following Pelvic Floor Reconstruction: A Multicenter Study
Abstract Background Whether to perform concurrent anti-incontinence surgery (AIS) during pelvic floor reconstruction (PFR) remains controversial. Traditional logistic regression (LR) models for predicting postoperative stress urinary incontinence (SUI) are limited by their inability to capture complex non-linear relationships and high-order interactions among predictors.
Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New Perspective
You are already at the latest version Large language model (LLM)-based agents are increasingly becoming self-evolving systems that persist across interactions, maintain memories, use tools, acquire skills, refine workflows, and coordinate with other agents. These capabilities make agent states structural and dynamic: entities, relations, attributes, dependencies, and execution structures change with new evidence, feedback, and environmental conditions.
Exploring Molecular Mechanism of Fluoxetine in Animal Models of Depression via Integrated Metabolomic and Proteomic Analysis
1 Introduction Depression, a prevalent psychiatric disorder, ranks as one of the leading etiological factors contributing to the global burden of disease ([1] GBD 2021 US Burden of Disease Collaborators). It is also noted that depression is commonly comorbid in patients with physical illness [2]. Selective serotonin reuptake inhibitors (SSRIs), such as fluoxetine, are among the most widely prescribed antidepressants in the US [3].
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