Situation Awareness-Based Safety Assessment Method for Human–Autonomy Interaction Process Considering Anchoring and Omission Biases by Shengkui Zeng, Qidong You, Jianbin Guo, Haiyang Che

“…Second, guided by SAB-TDM, a dynamic Bayesian network is used to assess HAIP safety. A case study on autonomous ship collision avoidance verifies effectiveness of the method. …”
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Gender disparities in application and admission to the medical residency program in Peru: A cross sectional study from 2016 to 2023. by Daniel Medina-Neira, Brenda Caira-Chuquineyra, Daniel Fernandez-Guzman

“…<h4>Methods</h4>We conducted a cross-sectional study to assess the proportions of female applicants and admissions to medical residency programs in Peru from 2016 to 2023. Bayesian multilevel linear models were employed, incorporating random intercepts and slopes by specialty to account for variability across specialties. …”
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Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems by Sergii Babichev, Igor Liakh, Jiri Skvor

“…The research methodology involves initial gene ontology analysis, followed by the application of the Self Organizing Tree Algorithm (SOTA) for clustering gene expression profiles, an ensemble algorithm for data biclustering, and CNN for sample classification. Bayesian optimization method was employed to determine the optimal hyperparameters for all models. …”
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Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis by Jian Dong, Zhen Wang, Si-Rui Wang, Huan Zhao, Jun Li, Ting Ma

“…Relevant diagnostic accuracy data were extracted and a Bayesian model that combined direct and indirect evidence was used for analysis.Results16 original studies were included and data from 2,447 patients were collated to assess the diagnostic value of 10 different methods. …”
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Predicting the Collisions of Heavy Vehicle Drivers in Iran by Investigating the Effective Human Factors by Hossein Naderi, Habibollah Nassiri, Farnaz Zahedieh

“…In this research, the effect of heavy vehicle drivers’ behavior on at-fault collisions over three years has been investigated with an innovative approach of structural equation modeling (SEM) and Bayesian Network (BN). The database utilized in this research was collected using a questionnaire. …”
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Exploring Many-Core Design Templates for FPGAs and ASICs by Ilia Lebedev, Christopher Fletcher, Shaoyi Cheng, James Martin, Austin Doupnik, Daniel Burke, Mingjie Lin, John Wawrzynek

“…We compare template-driven design to both full-custom and programmable approaches by studying implementations of a compute-bound data-parallel Bayesian graph inference algorithm across several candidate platforms. …”
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Neural evidence of functional compensation for fluid intelligence in healthy ageing by Ethan Knights, Richard N Henson, Alexa Morcom, Daniel J Mitchell, Kamen A Tsvetanov

“…Whole-brain univariate analysis revealed that activity in bilateral cuneal cortex for hard vs. easy problems increased both with age and with performance, even when adjusting for an estimate of age-related differences in cerebrovascular reactivity. Multivariate Bayesian decoding further demonstrated that age increased the likelihood that activation patterns in this cuneal region provided non-redundant information about the two task conditions, beyond that of the multiple demand network generally activated in this task. …”
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Rearranging the Bird’s Nest Fungi: molecular review of internal clades in Cyathus (Nidulariaceae, Basidiomycota) by Rhudson Henrique Santos Ferreira da Cruz, Jefferson dos Santos Góis, Paulo Marinho, Iuri Goulart Baseia, Kentaro Hosaka

“…In the phylogenetic analysis, using Maximum Parsimony and Bayesian methods, sequences of ITS and LSU regions from 41 samples of 39 species of Cyathus, 26 were placed with some nomenclatural types. …”
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Awareness and utilization of Swedish youth clinics among migrants enrolled in Swedish language programmes: a cross-sectional study by Amanda Lundberg, Anna-Karin Hurtig, Faustine Kyungu Nkulu-Kalengayi

“…Descriptive statistics, bivariate, and multivariate log-binomial regression analyses using a Bayesian approach were applied to summarize the data and identify factors associated with awareness and utilization of YCs among migrants. …”
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Evaluating the effect of viral posts on social media engagement by Emanuele Sangiorgio, Niccolò Di Marco, Gabriele Etta, Matteo Cinelli, Roy Cerqueti, Walter Quattrociocchi

“…To address this gap, we analyze content timelines from over 1000 European news outlets from 2018 to 2023 on Facebook and YouTube, employing a Bayesian structural time series model to evaluate the impact of viral posts. …”
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Information Entropy-Based Hybrid Models Improve the Accuracy of Reference Evapotranspiration Forecast by Anzhen Qin, Zhilong Fan, Liuzeng Zhang

“…In this study, four popularly used single models were selected to forecast ET0 values, including support vector regression, Bayesian linear regression, ridge regression, and lasso regression models, respectively. …”
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Enhancing Cluster Accuracy in Diabetes Multimorbidity With Dirichlet Process Mixture Models by Francis John Kita, Srinivasa Rao Gaddes, Peter Josephat Kirigiti

“…The major advantages of DPMM include (1) DPMM automatically adjusts the number of clusters based on data structure, enabling it to capture diverse patient profiles without needing predefined cluster counts, which is ideal for handling the variability in multimorbidity patterns; (2) DPMM estimates the distributional properties directly from the data, relying on proper parameter choices and improving the stability of clustering results across datasets; and (3) DPMM uses a Bayesian framework to iteratively converge toward optimal clustering solutions, efficiently managing large datasets and producing more clinically meaningful clusters. …”
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Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

“…Jude Algorithm for the Reconstruction of Accurate Cellular Networks (SJARACNe), Network-based Bayesian Inference of Drivers (NetBID2), and single-cell Mutual Information-based Network Engineering Ranger (scMINER) algorithms for network-based analysis. …”
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Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model by Yajie Zou, Wanbing Han, Bo Lin, Bing Wu, Linbo Li, Shubo Wu, Malik Muneeb Abid

“…Mixed logit (MXL) model can overcome the above limitations, but it may neglect model uncertainty. Therefore, a Bayesian model averaging (BMA) approach is applied to model travel mode choice behavior considering using revealed preference/stated preference (RP/SP) fusion data collected by questionnaires online. …”
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The impact of age on genetic risk for common diseases. by Xilin Jiang, Chris Holmes, Gil McVean

“…We use a proportional hazards model within an interval-based censoring methodology to estimate age-varying individual variant contributions to genetic relative risk for 24 common diseases within the British ancestry subset of UK Biobank, applying a Bayesian clustering approach to group variants by their relative risk profile over age and permutation tests for age dependency and multiplicity of profiles. …”
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Meta-models for transfer learning in source localization by Lawrence A. Bull, Matthew R. Jones, Elizabeth J. Cross, Andrew Duncan, Mark Girolami

“…In contrast, this work looks to capture the interdependencies between acoustic emission (AE) experiments (as meta-models) and then use the resulting functions to predict the model hyperparameters for previously unobserved systems. We utilize a Bayesian multilevel approach (similar to deep Gaussian Processes) where a higher-level meta-model captures the inter-task relationships. …”
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fNIRS Classification of Adults With ADHD Enhanced by Feature Selection by Minyeong Hong, Suh-Yeon Dong, Roger S. McIntyre, Soon-Kiat Chiang, Roger Ho

“…To address this, we propose a hybrid feature selection method that combines a wrapper-based and embedded approach, termed Bayesian-Tuned Ridge RFECV (BTR-RFECV). The proposed method facilitated streamlined feature selection and hyperparameter tuning in high-dimensional data, thereby reducing the number of features while enhancing accuracy. …”
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Why the gaze behavior of expert physicians and novice medical students differ during a simulated medical interview: A mixed methods study. by Rie Yamada, Kuangzhe Xu, Satoshi Kondo, Makoto Fujimoto

“…During the simulated medical interview, participants' gaze behavior was measured across five areas: the patient's eyes, face, body trunk, medical chart, and medical questionnaire. A hierarchical Bayesian model analyzed differences in gaze behavior between expert physicians and novice medical students. …”
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Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system by Luis Javier Montiel-Olguín, Felipe de Jesús Ruiz-López, Sergio Gómez-Rosales, Germinal Jorge Cantó-Alarcón, Eliab Estrada-Cortés, Héctor Raymundo Vera-Ávila

“…Monthly milk weighins from 936 lactations were conducted in 23 farms in western Mexico. The Bayesian information criterion (BIC) and mean square prediction error (MSPE) were used to assess the fit of the models to the observed data, and the root mean square prediction error as a percentage of the observed mean (%RMSPE) was used to evaluate the accuracy of the models. …”
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Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data by Chengchuan An, Weihua Zhang, Yinpu Wang, Siping Ke, Jingxin Xia

“…In this study, a novel traffic state measure—queue service time (QST)—is introduced and used as the only input to generate a robust signal plan at isolated intersections for a time-of-day period. First, a Bayesian-based model is proposed to estimate the QST distribution by collectively using the lower and upper boundary observations reported by connected vehicles. …”
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