Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer by Yanyan HU, Yating BAI

“…To solve these problems, we propose a probabilistic prediction method for aero engines that leverages Bayesian networks and the graph attention transformer. …”
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Multi-omics integration and immune profiling identify possible causal networks leading to uterine microbiome dysbiosis in dairy cows that develop metritis by S. Casaro, J. G. Prim, T. D. Gonzalez, F. Cunha, A. C. M. Silva, H. Yu, R. S. Bisinotto, R. C. Chebel, J. E. P. Santos, C. D. Nelson, S. J. Jeon, R. C. Bicalho, J. P. Driver, Klibs N. Galvão

“…Results The Bayesian network analysis showed a positive directional correlation between prepartum BW, prepartum BW loss, and plasma fatty acids at parturition, suggesting that heavier cows were in lower energy balance than lighter cows. …”
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Efficacy and Safety of Dual Antiplatelet Therapy in Patients Undergoing Coronary Stent Implantation: A Systematic Review and Network Meta-Analysis by Yi Xu, Yimin Shen, Delong Chen, Pengfei Zhao, Jun Jiang

“…Primary endpoints were all-cause mortality, cardiac death, myocardial infarction (MI), major bleeding, any bleeding, definite or probable stent thrombosis (ST), and net adverse clinical events (NACE). This Bayesian network meta-analysis was performed with the random-effects model. …”
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Different surgical methods of hysterectomy for the management of endometrial cancer: a systematic review and network meta-analysis by Yuquan Yuan, Yuquan Yuan, Qin Tan, Yingfan Chen, Keyang Zhu, Bin Pan, Bao Liu, Bao Liu, Chunyan Ren, Chunyan Ren, Ganghui Li, Ganghui Li, Cheng Chen, Chengzhi Zhao, Chengzhi Zhao

“…These were pooled in Bayesian network meta-analysis models. The surface under the cumulative ranking curve (SUCRA) was used to illuminate the probability that each method would be the best for each outcome.ResultsThirty studies comprising 13446 patients were included. …”
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Comparison of Therapeutic Effects of Different Rehabilitation Methods on Patients Undergoing Total Knee Arthroplasty: A Network Meta‐Analysis of Randomized Controlled Trials by Zhaokai Jin, Yi Tang, Hua Huang, Lei Chen, Zhongyi Zhang, Tianyou Ma, Zhengming Wang, Hai Su, Haojing Zhou, Shuaijie Lv, Peijian Tong

“…And use the range of motion (ROM), visual analog scale (VAS), Western Ontario and McMaster Universities osteoarthritis index (WOMAC) as the outcome measure to evaluate the effectiveness of various interventions. A Bayesian network meta‐analysis (NMA) was carried out for calculating standardized mean difference (SMD) and the surface under cumulative ranking curve (SUCRA) of improvement of knee joint function after TKA by different rehabilitation methods. …”
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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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Music Distraction among Young Drivers: Analysis by Gender and Experience by Carlos A. Catalina, Susana García-Herrero, Elvira Cabrerizo, Sixto Herrera, Santiago García-Pineda, Fatemeh Mohamadi, M. A. Mariscal

“…To achieve this aim, employing Bayesian networks, the study analysed different music styles, in which they resulted in sample drivers’ speed infractions. …”
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Knowledge and innovation management model in the mezcal industry in Mexico by Antonia Terán-Bustamante, Sandra Nelly Leyva-Hernández, Antonieta Martínez-Velasco

“…This research aims to study and analyze knowledge management in the mezcal sector in Mexico and its impact on the development of rural communities through Bayesian-networks with machine learning techniques. A model is made in which the critical factors that impact is identified and quantified to optimally manage the knowledge that generates value and translates into innovation and competitive advantages. …”
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Machine Learning Techniques for Classification of Stress Levels in Traffic by Amanda Trojan Fenerich, Egídio José Romanelli, Rodrigo Eduardo Catai, Maria Teresinha Arns Steiner

“…The classification algorithms used were Support Vector Machine (SVM), Bayesian Networks (BN), and Logistic Regression (LR), comparatively. …”
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A Cooperative Model for IS Security Risk Management in Distributed Environment by Nan Feng, Chundong Zheng

“…In the proposed model, the exchange of security information among the interconnected IS under distributed environment is supported by Bayesian networks (BNs). In addition, for an organization’s IS, a BN is utilized to represent its security environment and dynamically predict its security risk level, by which the security manager can select an optimal action to safeguard the firm’s information resources. …”
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Statistical Modeling of HIV, Tuberculosis, and Hepatitis B Transmission in Ghana by Clement Twumasi, Louis Asiedu, Ezekiel N. N. Nortey

“…The validity of these comorbidity assertions was statistically determined by exploring the conditional dependencies existing among HIV, TB, and HB through Bayesian networks or directed graphical model. Through Classification tree, sex and age group of individuals were found as significant demographic predictors that influence the prevalence of HIV and TB. …”
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Inference Attacks on Genomic Data Based on Probabilistic Graphical Models by Zaobo He, Junxiu Zhou

“…After finding an approximate distribution of the input genomic dataset relying on Bayesian networks, a noisy distribution is obtained after injecting noise into the approximate distribution. …”
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A review of participatory modelling techniques for energy transition scenarios by Jair K.E.K. Campfens, Mert Duygan, Claudia R. Binder

“…Findings reveal that techniques like Cross-Impact Balance analysis and Fuzzy Cognitive Mapping excel in incorporating normative aspects and capturing diverse actor perspectives, yet they face challenges in addressing non-linearity and uncertainty. Bayesian Networks and Agent-Based Models are strong in managing uncertainty and modelling emergent behaviours but show limitations in normative aspects. …”
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Triggering thresholds and influential factors in the propagation of meteorological drought to hydrological drought by Na Zhen, Rui Yao, Peng Sun, Qiang Zhang, Chenhao Ge, Han Shen

“…Using Copula functions and Bayesian networks, it jointly analyzes the evolutionary characteristics of MDs and HDs in different sub-basins of the HRB, quantitatively investigates the thresholds for the propagation of MD to HD, and identifies potential influencing factors on these thresholds. …”
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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Fatemeh Mohammadinia, Amirjavad Borhani

“…Furthermore, ML algorithms such as Artificial Neural Networks (ANN), Bayesian networks, Random Forest (RF), Support Vector Machine (SVM), LSBoost, and Linear Regression (LR) were employed to estimate MMP. …”
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