Results 161 to 170 of about 1,485 (251)

Cognitive fatigue from schema rigidity and entropy externalization: a free energy principle perspective. [PDF]

Front Psychol
Ezzedini S.
europepmc   +1 more source

Global Oil and Gas Stocks: Anomalies, Systematic Risks and Mispricing

International Journal of Finance &Economics, EarlyView.
ABSTRACT We analyse anomaly and factor risk premia in the global oil and gas (OG) sector, which plays a central role in the global economy through its importance for energy supply, industrial production, and capital markets. Using firm‐level and portfolio data, we examine whether cross‐sectional return patterns reflect systematic risk compensation or ...
Nader Virk, Mohsin Sadaqat, Hilal A. Butt, Giulia Fantini   +3 more
wiley   +1 more source

Leveraging Deep Learning, Grid Search, and Bayesian Networks to Predict Distant Recurrence of Breast Cancer. [PDF]

Cancers (Basel)
Jiang X, Zhou Y, Wells A, Brufsky A.
europepmc   +1 more source

Risk factors for not proceeding to reconstructive surgery after female genital mutilation: A cohort study of 220 women in a specialized referral center

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study identifies factors associated with not proceeding to clitoral reconstructive surgery among women with female genital mutilation (FGM) enrolled in a specialized surgical pathway. Methods A retrospective cohort study was conducted at a multidisciplinary referral center in Montreuil, France, between January 2021 and December ...
Félicia Joinau‐Zoulovits, Maëlle Silvestre De Sacy, Bruno Renevier, Sarah Abramowicz   +3 more
wiley   +1 more source

Rare vasculitis types and obstetric and neonatal outcomes – A population‐based study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Vasculitis is an infrequent pathology among reproductive‐aged women. While data exists regarding pregnancy outcomes in the more common vasculitis subtypes, data is limited regarding these outcomes in rare vasculitis subtypes. We aimed to compare pregnancy and perinatal outcomes between women who suffered from rare types of vasculitis
Uri Amikam, Ahmad Badeghiesh, Haitham Baghlaf, Richard Brown, Michael H. Dahan   +4 more
wiley   +1 more source

Comparative evaluation of score criteria for dynamic Bayesian Network structure learning. [PDF]

PLoS One
Yaman A, Cengiz MA.
europepmc   +1 more source

Antarctic soil microbiomes encode structurally conserved and phylogenetically diverse beta‐lactamases

iMetaOmics, EarlyView.
An integrative metagenomic framework combining sequence, structural, and functional inference reveals a phylogenetically diverse and structurally conserved repertoire of putative beta‐lactamases across Antarctic soil microbiomes, with predominance of class A and subclass B3 enzymes and limited but detectable associations with mobile genetic elements ...
José Coche‐Miranda, Patricio Arros, Nicolás Canales, Camilo Berríos‐Pastén, Gastón Azziz, Rosalba Lagos, Julieta Orlando, Francisco P. Chávez, Andrés E. Marcoleta   +8 more
wiley   +1 more source

Sensitivity of Bayesian Networks to Noise in Their Parameters. [PDF]

Entropy (Basel)
Onisko A, Druzdzel MJ.
europepmc   +1 more source

Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes

iMeta, EarlyView.
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang, Jia Li, Chao Tang, You Wu, Hao Wu, Xi‐Tong Zhu, Ziyang Luo, Hang Qin, Lishan Ding, Yu Zeng, Shiou Yih Lee, Xiaotao Shen, Shiwen Gao, Zhaoyang Tian, Qian Tang, Mian Li, Muhammad Tahir Ul Qamar, Yang Dong, Komivi Dossa, Yaxuan Zhang, Hu Chen, Sanqi An, Xiang Yu, Lu Chen, Dingjie Wang, Shengli Li, Ling‐Ling Chen, Yanqiang Li   +27 more
wiley   +1 more source

Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives

iMeta, EarlyView.
This review focuses on spatial omics, covering the introduction and comparison of technology platforms, explanation and recommendation of algorithm ecology, demonstration of biological applications, and prospect of large models. It aims to help researchers in the interdisciplinary field of spatial omics quickly understand the current situation and ...
Haoxiu Wang, Xinwang Yang, Siheng Wang, Zhe Yang, Xiuhui Yang, Yutong Yang, Zirong Li, Yuqi Ren, Qianqian Zhang, Bowen Zhao, Jingming Xiao, Yidong Wang, Junhao Dong, Zhenhao Kou, Jie Li, Liqun Yang, Erhu Zhao, Gregory Fonseca, Ruibang Luo, Mingyu Yang, Hongjuan Cui, Gengjie Jia, Dan Wang, Haoyang Li, Jun Ding, Zhiyuan Yuan, Haojing Shao   +26 more
wiley   +1 more source