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FAIRJupyter4AI: A Corpus of Computational Notebooks for AI

Daniel Mietchen, Sheeba Samuel • 2025

Computational notebooks like Jupyter have transformed scientific and educational workflows in computational fields by combining code, text, and visualizations. They have also become a popular mechanism to share computati...

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Effects of Drug Administration on Postoperative Pain in Orthognathic Surgery: A Systematic Review

Gianna Dipalma, Angelo Michele Inchingolo, Lilla Riccaldo, Roberta Morolla, Pietro Lauria, Roberto Vito Giorgio, Valeria Colonna, Benito F. P. Pennacchio, Antonio Mancini, Andrea Palermo, Alessio Danilo Inchingolo, Francesco Inchingolo • 2025

ABSTRACT Objectives This systematic review aims to offer indications on how drug administration affects postoperative pain in patients undergoing orthognathic surgery. Material and Methods We searched Pubmed, Scopus, and...

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Uncovering Novel Susceptible Genes and Therapeutic Targets of Prostate Cancer: a Multi-omics Study Integrating Summary-based Mendelian Randomization Analysis and Molecular Docking

Xuemeng Qiu, Yifei Zhang, Jiyue Wu, Zihao Gao, Xinyi Chai, Xihao Shen, Zejia Sun, Wei Wang • 2025

Abstract Background Understanding the role of causal genes of prostate cancer (PrCa) can reveal key biological pathways and identify potential targets for treatment. Methods We investigated associations between genetical...

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Predictors of Adherence to an Online Prenatal Education Course for Pregnant Women: A Retrospective Cohort Study

Skarlet Marcell Vásquez MSc, Diana Maria Reyes-Bravo MSc, Mary Luz Jaimes-Valencia PhD, Diana Mercedes Angarita-Macias RN, Jenifer Katherine Santos-Toloza RN • 2025

Introduction Prenatal education courses for pregnant women appear to be an effective strategy to facilitate maternal adaptation, especially during labor. Consequently, maintaining high adherence rates to these courses is...

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Effectiveness and cost-effectiveness of community perinatal mental health services on access, experience, recovery/relapse and obstetric and neonate outcomes: the ESMI-II mixed-methods study

Heather O’Mahen, Louise Howard, Helen Sharp, Antoinette Davey, Louise Fisher, Ipek Gurol-Urganci, Margaret Heslin, Julia Langham, Ebun Makinde, Emma Tassie, Silia Vitoratou, Jo Brook, Gina Collins, Chris McCree, Dharmintra Pasupathy, Andrew Pickles, Sarah Morgan-Trimmer, Geoffrey Wong, Katie Atmore, Debra Bick, Laura Bozicevic, Clare Dolman, Jill Domoney, Jessica Gay, Chloe Hayes, Jennifer Holly, Miriam Refberg, Sarah Byford, Jan van der Meulen • 2025

Background Perinatal mental health disorders affect one in five mothers during pregnancy or within 2 years post childbirth. These disorders can lead to poor pregnancy and childbirth outcomes and maternal deaths. Addition...

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commecometrics: an R package for trait-environment modelling at the community level

María A. Hurtado-Materon, Leila Siciliano-Martina, Rachel A. Short, Jenny L. McGuire, A. Michelle Lawing • 2025

The R package commecometrics provides an accessible, open-access framework for modelling trait–environment relationships using community-level trait data from modern and ancient species. Ecometrics links the trait distri...

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Algorithm-based remote monitoring of heart failure risk data in people with cardiac implantable electronic devices: a systematic review and cost-effectiveness analysis

Ryan Kenny, Nawaraj Bhattarai, Nicole O’Connor, Sonia Garcia Gonzalez-Moral, Hannah O’Keefe, Sedighe Hosseini-Jebeli, Nick Meader, Stephen Rice • 2025

Background Heart failure is a clinical syndrome caused by any structural or functional cardiac disorder that impairs the heart’s ability to function efficiently and pump blood around the body. Function can also be monito...

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