Burdens of sense organ diseases across global, regional, and national levels from 1990 to 2021 and projections for 2050 by Min-Jun Zhao, Jian-Li Yin, Yang-Shuo Ge, Jia-Ying Ding, Chun-Meng Huang, Ting-Ting Meng, Cai Zhang, Xu-Bo Wu, Jian-Ju Liu, Dao-Fang Ding

“…Additionally, we identified risk factors influencing DALYs and projected future disease burden trends for 2022 to 2051 using Bayesian age-period-cohort (BAPC) models. …”
Get full text

Spatiotemporal Distribution of Human Rabies and Identification of Predominant Risk Factors in China from 2004 to 2020. by Weiwei Meng, Tianren Shen, Okugbe Ebiotubo Ohore, Susan Christina Welburn, Guojing Yang

“…This study fitted the Bayesian model of separable in spatial and temporal variation and inseparable spatiotemporal variation in disease risk respectively based on Integrated Nested Laplace Approximation (INLA) to investigate the spatiotemporal characteristics of human rabies across 31 provinces in China from 2004 to 2020. …”
Get full text

Spatial modelling of the shared impact of sexual health knowledge and modern contraceptive use among women with disabilities in Africa by Obasanjo Afolabi Bolarinwa, Clifford Odimegwu, Aliu Mohammed, Ezra Gayawan

“…Bayesian inference via the Integrated Nested Laplace Approximation (INLA) was used for implementation. …”
Get full text

Unveiling the dual threat: combined elevated triglyceride-glucose index and intracranial arterial stenosis burden for enhanced stroke risk stratification by Baoyi Liao, Baoyi Liao, Guilin Meng, Guilin Meng, Xueyuan Liu, Xueyuan Liu

“…Mechanistic pathways were delineated through causal mediation analysis employing Quasi-Bayesian approximation (100 Monte Carlo simulations) to quantify mediating effects between metabolic dysfunction and cerebrovascular outcomes.ConclusionThe synergistic combination of elevated TyG index and ICAS burden demonstrated superior prognostic value for 3-month stroke recurrence risk compared to either parameter independently, suggesting that concurrent assessment of insulin resistance (via TyG index) and vascular imaging biomarkers (via ICAS burden) may refine early risk stratification. …”
Get full text

Millisecond-timescale local network coding in the rat primary somatosensory cortex. by Seif Eldawlatly, Karim G Oweiss

“…Here, we examined spike timing correlation between simultaneously recorded layer V neurons within and across columns of the primary somatosensory cortex of anesthetized rats during unilateral whisker stimulation. We used bayesian statistics and information theory to quantify the causal influence between the recorded cells with millisecond precision. …”
Get full text

Nationwide spatial dynamics of taeniasis in Thailand: declining prevalence but shifting focus and One Health risk factors across 2008–2014 by Pornphutthachat Sota, Kefyalew Addis Alene, Thitima Wongsaroj, Sirikachorn Tangkawattana, Archie C. A. Clements, Banchob Sripa

“…We used data from these surveys and integrated publicly available spatial covariates. A Bayesian spatial model with geostatistical random effects and covariates, implemented using integrated nested Laplace approximation (INLA), was applied to predict the spatial distribution of taeniasis in each survey year. …”
Get full text

Global, regional, and National levels and trends in burden of dental caries and periodontal disease from 1990 to 2035: result from the global burden of disease study 2021 by Jiangqiuchen Wu, Jinhao Chen, Cunming Lv, Leilei Zhou

“…Methods Utilizing data from the Global Burden of Disease Study (GBD), which integrates epidemiological records from systematic reviews, survey data preparation, disease registries, and case notifications, we conducted an observational analysis based on historical population-level data from 1990 to 2021.We analyzed the incidence, prevalence, and their corresponding age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR) for caries of deciduous teeth (CDT), caries of permanent teeth (CPT) and periodontal disease (PD). Bayesian age-period-cohort (BAPC) models with Integrated Nested Laplace Approximation (INLA) were employed to forecast trends through 2035, integrating second-order smoothing effects, overdispersion adjustments, and uncertainty quantification via 1,000 Monte Carlo simulations (95% UI) with future precision expressed as 95% confidence intervals (CI). …”
Get full text

Probabilistic reduction and constructionalization: a usage-based diachronic account of the diffusion and conventionalization of the Spanish la de  <noun> que construction by Marttinen Larsson Matti

“…The study seeks to determine the diachrony of and mechanisms underlying the emergence and diffusion of the la de <noun> que expression and whether it has conventionalized to develop into an independent form-function pairing. A Bayesian mixed-effects logistic regression analysis of approximately 2000 observations of diachronic corpus data tests the influence of the conditional probability of lexemes in the noun slot and the register, which both turn out to have a meaningful effect. …”
Get full text

Investigating the Interplay of Toxic Metals and Essential Elements in Cardiovascular Disease by Aderonke Gbemi Adetunji, Emmanuel Obeng-Gyasi

“…The results revealed distinct patterns of influence across the toxic metals and essential elements. …”
Get full text

Predicting dementia in people with Parkinson’s disease by Mohamed Aborageh, Tom Hähnel, Patricia Martins Conde, Jochen Klucken, Holger Fröhlich

“…Abstract Parkinson’s disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experiencing mild cognitive impairment and 45% developing dementia within ten years of diagnosis. …”
Get full text

Fitness landscapes of human microsatellites. by Ryan J Haasl, Bret A Payseur

“…Using a random forests approach to approximate Bayesian computation, we fit these models to carefully chosen microsatellites genotyped in 200 humans from a diverse collection of eight populations. …”
Get full text

A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index by Georgia A Floridou, Freya Katre, Emile Jeuken

“…A hierarchical model (model 1) where the general factor influenced the 4 group factors demonstrated the best fit (χ2521=3467.00; Bentler comparative fit index=0.906; Tucker-Lewis index=0.892; root mean square error of approximation=0.077; standardized root mean square residual=0.048; ΔAkaike information criterion=0.0; ΔBayesian information criterion=0.0). …”
Get full text

Overtopping Risk Analysis of Earth Dams considering Effects of Failure Duration of Release Structures by Lijun Liu, Zhenyu Wu

“…Thus, it is desirable to investigate the influence of failure duration of release structures on dam overtopping risk. …”
Get full text

Formation and Dynamics of Night-Time Cold Air Pools in Peri-Urban Topographic Basins: A Case Study of Coimbra, Portugal by António Manuel Rochette Cordeiro

“…A 3D visualization underscores the influence of the mountain in directing cold air downslope, leading to stabilization and stratification within the lower atmospheric layers. …”
Get full text

High-resolution spatial prediction of anemia risk among children aged 6 to 59 months in low- and middle-income countries by Johannes Seiler, Mattias Wetscher, Kenneth Harttgen, Jürg Utzinger, Nikolaus Umlauf

“…Methods Employing full probabilistic Bayesian distributional regression models, the research accurately predicts age-specific and spatially varying anemia risks. …”
Get full text

Deep‐HH: A deep learning‐based high school student hidden hunger risk prediction system by Yang Yang, Zheng Zhang, Huake Cao, Yuchen Zhang, Minao Wang, Ning Zhang

“…Current research suggests that approximately 70% of chronic diseases are linked to HH, which significantly affects public health. …”
Get full text

Spatial analysis and risk mapping of Crimean-Congo hemorrhagic fever (CCHF) in Sub-Saharan Africa by Abdoul Kader Ilboudo, Stephen Owambo Oloo, Jason Sircely, Ard M. Nijhof, Bernard Bett

“…The data were analysed using an approximate Bayesian hierarchical model using the R-INLA package. …”
Get full text

A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention by Mashael Maashi, Alanoud Al Mazroa, Shoayee Dlaim Alotaibi, Asma Alshuhail, Muhammad Kashif Saeed, Ahmed S. Salama

“…The proposed RACNN model achieved a localization accuracy of 99.9%, which represents a significant improvement over traditional methods such as K-nearest neighbors (KNN) and Bayesian inference. Specifically, the RACNN model reduced the average localization error to 0.35 m, outperforming these traditional methods by approximately 14% to 15% in accuracy. …”
Get full text

Utilisation of Anthropogenic Food by Red Foxes (Vulpes vulpes) in Britain as Determined by Stable Isotope Analysis by Jonathan W. J. Fletcher, Simon Tollington, Ruth Cox, Bryony A. Tolhurst, Jason Newton, Rona A. R. McGill, Paul Cropper, Naomi Berry, Krishnaveni Illa, Dawn M. Scott

“…We analysed the carbon (δ13C) and nitrogen (δ15N) stable isotope ratios of whiskers collected from 93 foxes from across Britain to determine: (1) if stable isotope analysis (SIA) distinguished a difference in δ13C and δ15N between rural and urban foxes, and whether any difference was suggestive of anthropogenic food use; (2) the proportion of anthropogenic food consumption in urban foxes compared to rural foxes using a Bayesian mixing model; (3) whether sex, age or season of collection influenced fox diet as assessed by SIA, in relation to anthropogenic food use. …”
Get full text

Global, regional, and national burden of laryngeal cancer attributable to smoking, 1990–2021, and projections to 2036: a systematic analysis of the Global Burden of Disease study 2... by Liangwen Shi, Zhixing Kuang, Jiannan Tu, Taiqin Wang, Tao Liu, Jingbo Liu, Jianzhi Liu

“…Decomposition analysis was employed to identify the key factors driving changes in DALY and mortality burdens, and the Bayesian Age-Period-Cohort (BAPC) model was used to project future trends.ResultsOver the past 30 years, the global burden of LCAS, as measured by DALYs and the number of deaths, has remained relatively stable with a modest increase of approximately 20.8 and 11.53%, respectively. …”
Get full text