Social determinants of mental health in asthma: an exploratory study by Sarah A. Hiles, Sarah A. Hiles, Hayley Lewthwaite, Hayley Lewthwaite, Vanessa L. Clark, Vanessa L. Clark, Anne E. Vertigan, Anne E. Vertigan, Anne E. Vertigan, Amber Smith, Amber Smith, Vanessa M. McDonald, Vanessa M. McDonald, Vanessa M. McDonald

“…They also completed validated self-report questionnaires for depression and anxiety [Hospital Anxiety and Depression Scale (HADS)], and resilience [Resilience Scale (RS-25)]. Bayesian regression analyses were conducted to examine the extent to which social determinants were associated with depression, anxiety and resilience.Results74 participants had mild-moderate asthma and 70 participants had severe asthma. …”
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A Catalog of Stellar and Dust Properties for 500,000 Stars in the Southwest Bar of the Small Magellanic Cloud by Petia Yanchulova Merica-Jones, Karl Gordon, Karin Sandstrom, Claire E. Murray, L. Clifton Johnson, Julianne J. Dalcanton, Julia Roman-Duval, Jeremy Chastenet, Benjamin F. Williams, Daniel R. Weisz, Andrew E. Dolphin

“…We use the probabilistic technique of the Bayesian Extinction And Stellar Tool (BEAST) to model the spectral energy distributions of individual stars in SMIDGE and include the effects of observational uncertainties in the data. …”
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Associations of early life per- and polyfluoroalkyl substances (PFAS) exposure with body mass index and risk of overweight or obesity at age 2–18 years: Mixture analysis in the pro... by Zeyu Li, Guoying Wang, Joseph M. Braun, Xiumei Hong, Giehae Choi, Shawn P. O’Leary, Chang Ho Yu, Colleen Pearson, William G. Adams, Zhihua (Tina) Fan, Jessie P. Buckley, Xiaobin Wang

“…The exposure-outcome associations were evaluated with linear and modified Poisson mixed-effects regression for individual PFAS and Bayesian kernel machine regression and quantile-based g-computation models for PFAS mixture. …”
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Multi-metal mixture exposure and cognitive function in urban older adults: The mediation effects of thyroid hormones by Zhuoqi Zhu, Juanhua Li, Yang Peng, Ning Qin, Jiemei Li, Ying Wei, Biwen Wang, Yunfei Liao, Huaicai Zeng, Lu Cheng, Han Li

“…Nonlinear inverse U-shaped associations between Mo, Rb, and MMSE scores were identified using Restricted Cubic Splines (RCS) and Bayesian Kernel Machine Regression (BKMR). Mediation analysis revealed that Free Thyroxine (FT4) mediated the relationship between Rb and MMSE scores by 29.10 % and between Zinc (Zn) and language performance by 35.00 %. …”
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Efficacy and safety of PD-1 inhibitors as second-line treatment for advanced squamous esophageal cancer: a systematic review and network meta-analysis with a focus on PD-L1 express... by Fei Yang, Min Dan, Jindan Shi, Ling Fan, Haoluo Zhang, Tiantian Jian, Kelu Lei, Yue Wang, Juan Xin, Zhigang Yu, Wei Chen

“…A systematic review and Bayesian network meta-analysis were performed to assess the efficacy and safety of various immunotherapy regimens in patients with advanced ESCC. …”
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Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics by Stefan Schoder

“…Furthermore, the trainable parameters were reduced to a fraction by Bayesian hyperparameter optimization (around 5%), and likewise, the training time (around 3%) was reduced compared to the standard PINN formulation. …”
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Association between exposure to perfluoroalkyl and polyfluoroalkyl substances with estimated glomerular filtration rate: Mediating role of serum albumin by Hua Fang, Huajing Chang, Danjing Chen, Wenxin Qiu, Jiangwang Fang, Yunli Wu, Xian-E. Peng

“…Associations between perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonate (PFHxS), and perfluorononanoic acid (PFNA) with eGFR and the risk of decreased renal function (eGFR < 90 vs. eGFR ≥ 90) using linear and logistic regression, weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and restricted cubic spline (RCS) analyses. …”
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A reproducible framework for monitoring the impact of randomized clinical trials on clinical practice using large-scale real-world data: application to gynaecological surgical tria... by Floriane Jochum, Madeleine Doll, Anne-Sophie Hamy, Lou Donval, Paul Gougis, Élise Dumas, Lise Lecointre, Thomas Gaillard, Fabien Reyal, Fabrice Lecuru, Cherif Akladios, Enora Laas

“…We analysed patients who underwent radical hysterectomy for cervical cancer (2013–2022) and patients who underwent cytoreductive surgery for ovarian cancer (2014–2022). Bayesian structural time series analysis assessed the causal effects of the LACC and LION trials on the discontinuation of minimally invasive surgery (MIS) and lymphadenectomy, respectively. …”
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Global, regional, and national burden of esophageal cancer: a systematic analysis of the Global Burden of Disease Study 2021 by Weiqiu Jin, Kaichen Huang, Ziyin Ding, Mengwei Zhang, Chongwu Li, Zheng Yuan, Ke Ma, Xiaodan Ye

“…The analyses were disaggregated by sexes, GBD super-regions and regions, nations/territories, age-groups, and SDI quintiles. A Bayesian age-period-cohort (BAPC) model was constructed to project the global and regional EC ASRs in 2022–2035. …”
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Association between METTL14 gene polymorphisms and risk of ovarian endometriosis by Zijun Zhou, Zijun Zhou, Youkun Jie, Xianyue Hu, Xianyue Hu, Guange Chen, Yanjing Bao, Yanjing Bao, Zhenbo OuYang, Liangzhi Wu, Tianyang Gao, Qiushi Zhang, Qiushi Zhang, Wenfeng Hua, Wenfeng Hua

“…Haplotype analysis showed that individuals with the GATAA haplotype were at higher risk of ovarian endometriosis (AOR = 5.54, 95% CI = 1.63–18.87, P = 0.006), whereas the AGTTG haplotype exhibited protective effects (AOR = 0.55, 95% CI = 0.31–0.97, P = 0.039) compared with wild-type GACAG haplotype carriers. Additionally, Bayesian false discovery probability and false positive report probability analysis confirmed the robustness of the significant findings. …”
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PhotoD with LSST: Stellar Photometric Distances Out to the Edge of the Galaxy by Lovro Palaversa, Željko Ivezić, Neven Caplar, Karlo Mrakovčić, Bob Abel, Oleksandra Razim, Filip Matković, Connor Yablonski, Toni Šarić, Tomislav Jurkić, Sandro Campos, Melissa DeLucchi, Derek Jones, Konstantin Malanchev, Alex I. Malz, Sean McGuire, Mario Jurić

“…Anticipating photometric catalogs with tens of billions of stars from Rubin's Legacy Survey of Space and Time (LSST), we present a Bayesian model and pipeline that build on previous work and can handle LSST-sized datasets. …”
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Molecular Phylogenetics and Estimation of Evolutionary Divergence and Biogeography of the Family Cordycipitaceae (Ascomycota, Hypocreales) by Huili Pu, Jiao Yang, Nemat O. Keyhani, Lixia Yang, Minhai Zheng, Chenghao Qiu, Yuchen Mao, Junya Shang, Yongsheng Lin, Chengjie Xiong, Longbing Lin, Pengyu Lai, Yanbin Huang, Xin Yuan, Huiling Liang, Longfei Fan, Xiaoli Ma, Chunjin Qiu, Junzhi Qiu

“…The Cordycipitaceae family of insecticidal fungi is widely distributed in nature, is the most complex in the order Hypocreales (Ascomycota), with members displaying a diversity of morphological characteristics and insect host ranges. Based on Bayesian evolutionary analysis of five genomic loci(the small subunit of ribosomal RNA (SSU) gene, the large subunit of ribosomal RNA (LSU) gene, the translation elongation factor 1-α (<i>tef1-α</i>) gene, the largest subunit of RNA polymerase II (<i>rpb1</i>), and the second largest subunit of RNA polymerase II (<i>rpb2</i>), we inferred the divergence times for members of the Cordycipitaceae, improving the internal phylogeny of this fungal family. …”
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Rapid spread of the SARS-CoV-2 Omicron XDR lineage derived from recombination between XBB and BA.2.86 subvariants circulating in Brazil in late 2023 by Ighor Arantes, Kimihito Ito, Marcelo Gomes, Felipe Cotrim de Carvalho, Walquiria Aparecida Ferreira de Almeida, Ricardo Khouri, Fabio Miyajima, Gabriel Luz Wallau, Felipe Gomes Naveca, Elisa Cavalcante Pereira, Marilda Mendonça Siqueira, Paola Cristina Resende, Gonzalo Bello

“…The first XDR sequences were detected in November 2023 in the Northeastern Brazilian region, and their prevalence rapidly surged from <1% to 25% by February 2024. The Bayesian phylogeographic analysis supports that the XDR lineage likely emerged in the Northeastern Brazilian region around late October 2023 and rapidly disseminated within and outside Brazilian borders from mid-November onward. …”
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Analysis of the risk of oncological adverse events associated with infliximab in combination with azathioprine compared to monotherapy: insights from the FAERS database by Qian Qiao, Qian Qiao, Qian Qiao, Jiachen Sun, Jiachen Sun, Jiachen Sun, Ya Zheng, Ya Zheng, Yingying Mi, Yingying Mi, Yingying Mi, Yanan Gong, Yanan Gong, Jiahui Liu, Jiahui Liu, Jiahui Liu, Wenyue Rui, Wenyue Rui, Wenyue Rui, Yumei Ma, Yumei Ma, Yumei Ma, Yongning Zhou, Yongning Zhou, Min Liu, Min Liu

“…Signal mining employed methods such as Reported Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Multiple Gamma-Poisson Scaling Assessment (MGPSA) and Bayesian Confidence Interval Progressive Neural Network (BCPNN).ResultsOur analysis of the FAERS database revealed that the highest number of reported cases involved skin-related tumors, both individually and in combination. …”
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مکان‌یابی ارتباطی صفات پومولوژیک انگور (Vitis vinifera L.) با استفاده از نشانگرهای ISSR by میترا رازی, محمد اسماعیل امیری, رضا درویش زاده, حامد دولتی بانه, پدرو مارتینز گومز

“…تجزیه مؤثر ساختار جمعیت با استفاده از روش Bayesian در نرم‌افزار Structure و شناسایی مکان‌های ژنی مرتبط با صفات مورد ارزیابی، بر اساس مدل MLM با استفاده از نرم‌افزار TASSEL انجام گرفت.یافته‌ها: بر اساس 17 نشانگر ISSR مورد استفاده در این مطالعه، ساختار ژنتیکی جمعیت به دو زیر جمعیت فرعی (2=K) تقسیم گردید. …”
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Global, regional, and national burdens of heart failure in adolescents and young adults aged 10–24 years from 1990 to 2021: an analysis of data from the Global Burden of Disease St... by Chengzhi Yang, Yuhe Jia, Changlin Zhang, Zening Jin, Yue Ma, Xuanye Bi, Aiju Tian

“…We also employed the Bayesian age-period-cohort models (BAPC) to predict the future burden of HF up to 2030. …”
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Rare Occasions: Tidal Disruption Events Rarely Power the AGNs Observed in Dwarf Galaxies by Joanne Tan, Guang Yang, Jonelle L. Walsh, W. N. Brandt, Bin Luo, Franz E. Bauer, Chien-Ting Chen, Mouyuan Sun, Yongquan Xue

“…Using true- and false-positive rates obtained from fitting models to simulated light curves, we perform Bayesian analysis to obtain the posterior of the TDE fraction for our sample. …”
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Epidemiological drivers of transmissibility and severity of SARS-CoV-2 in England by Pablo N. Perez-Guzman, Edward Knock, Natsuko Imai, Thomas Rawson, Cosmo Nazzareno Santoni, Joana Alcada, Lilith K. Whittles, Divya Thekke Kanapram, Raphael Sonabend, Katy A. M. Gaythorpe, Wes Hinsley, Richard G. FitzJohn, Erik Volz, Robert Verity, Neil M. Ferguson, Anne Cori, Marc Baguelin

“…We used a robust mathematical model and Bayesian inference framework to analyse epidemiological surveillance data from England. …”
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Dynamic changes and future trend predictions of the global burden of anxiety disorders: analysis of 204 countries and regions from 1990 to 2021 and the impact of the COVID-19 pande... by Si Chen, Wei Huang, Min Zhang, Yan Song, Chunshan Zhao, Hongwei Sun, Yanyu Wang, Jihong Wang, Yali Sun, Lei Zhou, Yan Zhu, HongYuan Wang, ZhengYang Xu, YuRui Bai, Cheng Chang

“…Furthermore, path analysis was utilized to investigate the impact pathways between the COVID-19 pandemic and anxiety disorders. Finally, a Bayesian age-period-cohort (BAPC) model was employed to predict the prevalence trends of anxiety disorders from 2022 to 2050. …”
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New insights into freshwater ascomycetes: discovery of novel species in diverse aquatic habitats by Lu Li, Lu Li, Lu Li, Darbhe Jayarama Bhat, Darbhe Jayarama Bhat, Hong-Bo Jiang, Hong-Bo Jiang, Hong-Bo Jiang, Hong-Bo Jiang, Jun-Fu Li, Jun-Fu Li, Jun-Fu Li, Jun-Fu Li, Turki M. Dawoud, Fangqi Sun, Fangqi Sun, Fangqi Sun, Fangqi Sun, Sukanya Haituk, Sukanya Haituk, Ratchadawan Cheewangkoon, Ratchadawan Cheewangkoon, Rungtiwa Phookamsak, Rungtiwa Phookamsak, Rungtiwa Phookamsak, Rungtiwa Phookamsak

“…The novelty of taxa is explained with detailed descriptions, photo-micrographic illustrations, polymorphism, and multigene phylogenetic analyses of Bayesian inference and maximum likelihood criteria.…”
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