Measuring the Degree of ‘Fit’ Within Social‐Ecological Systems to Support Local Flood Risk Decision‐Making by Imogen Hobbs, Valentin Lucet, Jennifer M. Holzer, Julia Baird, Gordon M. Hickey

“…To address these knowledge gaps, we reviewed how social‐ecological fit has been conceptualised in the literature and then tested the use of Bayesian Belief networks and analysis to quantitatively assess “fit” using the case of flooding in the North Onslow saltmarsh region of Truro, Nova Scotia. …”
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Associations of urinary phthalate metabolites with Circadian Syndrome: evidence from NHANES by Chunxing Yi, Jie Shen, Jiansheng Cai

“…Restricted cubic splines (RCS) evaluated dose-response relationships, while Bayesian kernel machine regression (BKMR) and g-computation models assessed the effects of phthalate mixtures.ResultsThe prevalence of CircS in the study population was 45.14%. …”
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Operational data analytics for failure prediction and availability improvement in gas turbine power plants by Ahiamadu Jonathan Okirie, Ebigenibo Genuine Saturday, Mathew Izuchukwu Gift, Dickens Ewe

“…Predictive models, including Bayesian simulation and MATLAB-based analysis, were employed to assess failure probabilities and optimize maintenance planning. …”
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Assessing the association between drug use and ischaemic colitis: a retrospective pharmacovigilance study using FDA Adverse Event data by Qing Li, Xiushan Dong, Jie An, Kaiqi Wu, Teng Wu, Pengyang Xu, Chuanli Yang, Yunhe Fan

“…Notably, two-thirds of these drugs lacked ischaemic colitis warnings in their package inserts. …”
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Maltreatment and parenting in youth with primary and secondary callous‐unemotional traits: Anxiety matters by Jessica J. Todorov, Gregor Kohls, Ruth Pauli, Jack Rogers, Anka Bernhard, Katharina Ackermann, Nora M. Raschle, Jules R. Dugre, Aranzazu Fernandez‐Rivas, Miguel Angel Gonzalez‐Torres, Amaia Hervas, Areti Smaragdi, Karen Gonzalez, Ágnes Vetró, Dimitris Dikeos, Arne Popma, Christina Stadler, Kerstin Konrad, Christine M. Freitag, Graeme Fairchild, Rory T. Devine, Stephane A. De Brito

“…There is a paucity of work comparing primary and secondary subgroups with typically developing (TD) youth on experiences of maltreatment and parenting as well as a lack of studies investigating sex differences. Methods In a large sample of TD youth (n = 946, 66% female) and youth with CD (n = 885, 60% female), we used latent profile analysis in youth with CD aged between 9 and 18 years to address four aims: (i) to demonstrate how primary and secondary subgroup membership differs when anxiety, maltreatment, or both are used as continuous indicators, (ii) to compare primary and secondary subgroups with TD youth on abuse and neglect measures, and (iii) to compare primary and secondary subgroups with TD youth on parenting experiences, and (iv) to examine whether the results were consistent across sexes. …”
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Aggregate Sampling to Detect Pathogens and Antimicrobial Resistance Genes Associated with Bovine Respiratory Disease in US Feedlots: A Pilot Study by Erin Jobman, Brian Vander Ley, John Dustin Loy, Duan Sriyotee Loy, Nathan Meyer, Dan Thomson, James Lowe, Shane Terrell

“…The overall kappa and Percent Positive Agreement were 0.72 and 84.01% among sample substrates. Bayesian latent class analysis was used to estimate the probability of detection. …”
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Associations of exposure to polycyclic aromatic hydrocarbons with hearing in U.S. Adults by Xiuju Li, Zhaofeng Liu, Xiaohong Ding, Yuanling Zhou, Tingting Yu, Jin Jiang

“…However, current research still lacks data on their association in real-world environments. …”
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Estimating individuals' genetic and non-genetic effects underlying infectious disease transmission from temporal epidemic data. by Christopher M Pooley, Glenn Marion, Stephen C Bishop, Richard I Bailey, Andrea B Doeschl-Wilson

“…SIRE implements a flexible Bayesian algorithm which accommodates a wide range of disease surveillance data comprising any combination of recorded individual infection and/or recovery times, or disease diagnostic test results. …”
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An AI-Based Decision Support Framework for Clinical Screening of Iron Deficiency Anemia and Thalassemia by Kasikrit Damkliang, Thakerng Wongsirichot, Komsai Suwanno, Chutima Cheranakhorn, Sorawat Sangkeaw, Satanun Sottisataworn

“…Traditional blood smear analysis is labor-intensive, prone to subjectivity, and lacks reproducibility, highlighting the urgent need for AI-driven methods to improve diagnostic sensitivity and specificity. …”
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Global, regional, and national differences in the burden of refraction disorders among children, adolescents, and older adults: current trends and future projections by Qiheng Yuan, Longji Wang, Bianjin Sun, Siwen Chen, Yutong Kang, Yongliang Lou, Meiqin Zheng

“…However, existing studies have only analyzed the burden of RD at the global level, lacking analysis at the national level and specific populations. …”
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Genetic variability among complete human respiratory syncytial virus subgroup A genomes: bridging molecular evolutionary dynamics and epidemiology. by Lydia Tan, Philippe Lemey, Lieselot Houspie, Marco C Viveen, Nicolaas J G Jansen, Anton M van Loon, Emmanuel Wiertz, Grada M van Bleek, Darren P Martin, Frank E Coenjaerts

“…The immunological, clinical, and epidemiological profile of severe RSV infections suggests a disease caused by a virus with typical seasonal transmission behavior, lacking clear-cut virulence factors, but instead causing disease by modifying the host's immune response in a way that stimulates pathogenesis. …”
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The First Complete Mitogenome Characterization and Phylogenetic Implications of <i>Elops machnata</i> (Teleostei: Elopiformes: Elopidae) by Jia-Yu Li, Xue-Fan Cui, Shu-He Chen, Yang Li, Shui-Yuan Zhang, Yuan-Feng Yang, Yi-Yang Li, Yu-Song Guo, Zhong-Duo Wang, Jian Liao

“…Amino acid composition analysis across 23 Elopomorpha species revealed consistently high leucine contents, and tRNA secondary structure prediction showed 21 tRNAs forming typical cloverleaf structures, except for <i>trnS1</i>(gct), which lacks the dihydrouridine (DHU) arm. …”
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SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies by Christopher M. Pooley, Glenn Marion, Jamie Prentice, Ricardo Pong-Wong, Stephen C. Bishop, Andrea Doeschl-Wilson

“…SIRE 1.0, however, lacks the capability to estimate genetic parameters for these traits in the likely case of underlying polygenic control. …”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…Results Beta diversity analysis on 16 S rRNA microbiome data revealed compositional divergence among genetic, age and batch groups. …”
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