Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization by Gerardo Beruvides, Fernando Castaño, Rodolfo E. Haber, Ramón Quiza, Alberto Villalonga

“…The second study also corroborates that hybrid incremental model plus simulated annealing is better than a Bayesian network and a multilayer perceptron for correctly predicting the surface roughness.…”
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Comparative effectiveness of non-pharmacological therapies for postoperative cognitive dysfunction: Protocol for a systematic review and network meta-analysis. by Kexin Wu, Qiongnan Bao, Jun Huang, Shanshan Sun, Yaqin Li, Xinyue Zhang, Manze Xia, Zhenghong Chen, Jin Yao, Wanqi Zhong, Zihan Yin, Fanrong Liang

“…The risk of bias will be assessed using the revised Risk of Bias Assessment Tool. Pairwise and Bayesian network meta-analyses will be performed using RevMan, STATA, and Aggregate Data Drug Information System statistical software. …”
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Decentralized State Estimation Algorithm of Centralized Equivalent Precision for Formation Flying Spacecrafts Based on Junction Tree by Mengyuan Dai, Hua Mu, Meiping Wu, Zhiwen Xian

“…In the new solution, the system is modeled as a dynamic Bayesian network (DBN). A probabilistic graphical method named junction tree (JT) is used to analyze the hidden distributed structure of the DBNs. …”
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Emergency Medical Resources Allocation of Periphery for Epidemic Areas: Based on Infectious Diseases Spatial-Temporal Transmission Path by Xuan Zhao, Benhong Peng, Chaoyu Zheng, Anxia Wan

“…First of all, the epidemic spatial-temporal transmission path (STTP) network describing the geographic spread of disease is obtained using a first-order conditional dependence approximation algorithm in a dynamic Bayesian network (DBN). Then, the structural information of the STTP network and the supplies condition characteristic information are combined using the Bipartite network embedding (BiNE) method. …”
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A Hierarchical Probabilistic Framework for Recognizing Learners’ Interaction Experience Trends and Emotions by Imène Jraidi, Maher Chaouachi, Claude Frasson

“…We propose a hierarchical probabilistic framework using a dynamic Bayesian network to model this relationship and to simultaneously recognize the probability of experiencing each trend as well as the emotional responses occurring subsequently. …”
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Assessing Africa's child survival gains and prospects for attaining SDG target on child mortality. by Sunday A Adedini, Seun Stephen Anjorin, Jacob Wale Mobolaji, Elvis Anyaehiechukwu Okolie, Sanni Yaya

“…Results of the predictions using supervised machine learning on the Bayesian network reveal that the probability of achieving the SDG target 3.2 (i.e., having U5MR of 25 deaths per 1000 live births or less) increases (from 21.6% to 100%) when the contraceptive prevalence increases from 49.8% to 78.5%; and the use of skilled birth attendants increases from 44.8% to 86.3%; and percentage of secondary school completion of female increases from 42.5 to 74.0%. …”
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Regulation of meristem and hormone function revealed through analysis of directly-regulated SHOOT MERISTEMLESS target genes by Tamara Lechon, Nicholas A. Kent, James A. H. Murray, Simon Scofield

“…Finally, we use a subset of these target genes to perform Bayesian network analysis to infer gene regulatory associations and to construct a refined GRN for STM-mediated control of meristem function.…”
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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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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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Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers by Dawei Li, Xiaojian Hu, Cheng-jie Jin, Jun Zhou

“…Compared with the Bayesian networks based detection algorithms developed in the previous studies, this algorithm has less dependency on experts’ knowledge. …”
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Comparison of efficacy and safety of complementary and alternative therapies for essential hypertension with anxiety or depression disorder. by Xueyan Han, Xinxin Liu, Fengxing Zhong, Yiguo Wang, Qiming Zhang

“…This study intends to use the Bayesian network meta-analysis (NMA) analysis method for the first time to gather randomized controlled trials (RCTs) related to complementary and alternative therapies in the treatment of hypertension with anxiety or depression disorder and rank efficacy and safety, to provide a reference basis for the treatment of hypertension with anxiety or depression disorder.…”
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A Dynamic Discretization Algorithm for Learning BN Model: Predicting Causation Probability of Ship Collision in the Sunda Strait, Indonesia by Iis Dewi Ratih, Ketut Buda Artana, Heri Kuswanto, Dhimas Widhi Handani, Renata Zahabiya

“…The contributing factors to ship collisions include weather conditions, technical failure, insufficient resources, navigation errors, human error, and the failure of other vessels. The Bayesian Network (BN) machine learning method is capable of predicting ship collisions. …”
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A Network Meta-Analysis to Compare Effectiveness of Baricitinib and Other Treatments in Rheumatoid Arthritis Patients with Inadequate Response to Methotrexate by Walid Fakhouri, Xiaofei Wang, Inmaculada de La Torre, Claudia Nicolay

“…**Methods:** A systematic literature review was conducted to identify randomized controlled trials (RCTs) of the interventions of interest. Bayesian network meta-analyses (NMA) were used to compare American College of Rheumatology (ACR) responses at 24 weeks. …”
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Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies by Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang

“…Here we summarize Bayesian-based statistical approaches, including the Bayesian Variable Partition (BVP) model, Bayesian Network (BN), and the Recursive Model Selection (RMS) procedure, which are designed to detect the mutations and to make further inferences to the comprehensive dependence structure among the interactions. …”
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A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis by Dilip Swaminathan, Harvey Thornburg, Jessica Mumford, Stjepan Rajko, Jodi James, Todd Ingalls, Ellen Campana, Gang Qian, Pavithra Sampath, Bo Peng

“…The method uses a dynamic Bayesian network (DBN) to fuse movement features across the body and across time and as we discuss can be readily adapted for low-cost video. …”
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Network Meta-Analysis of Once Weekly Selinexor-Bortezomib-Dexamethasone in Previously Treated Multiple Myeloma by Michael Dolph, Gabriel Tremblay, Adrienne M Gilligan, Hoyee Leong

“…**Objectives:** A Bayesian network meta-analysis (NMA) was developed from studies identified from a systematic literature review (SLR) to evaluate the efficacy of once weekly oral selinexor with once weekly bortezomib and low-dose dexamethasone (XVd) relative to other therapies in previously treated MM. …”
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Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications by Yue Wang, Fangjian Li, Huanfei Zheng, Longsheng Jiang, Maziar Fooladi Mahani, Zhanrui Liao

“…These include performance-centric algebraic, time-series, Markov decision process (MDP)/Partially Observable MDP (POMDP)-based, Gaussian-based, and dynamic Bayesian network (DBN)-based trust models. Following the summary of each computational human-robot trust model, we examine its utilization in robot control applications, if any. …”
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Incremental long-term benefit of drug therapies for chronic obstructive pulmonary disease in quality of life but not mortality: a network meta-analysis by Qiong Pan, Jiongzhou Sun, Shiyuan Gao, Zian Liu, Yiwen Huang, Yixin Lian

“…The comparative efficacy of 4 drugs and their combinations in acute exacerbation and mortality was assessed using Bayesian network meta-analysis models. Results This network meta-analysis identified 69 eligible RCTs on 7 classes of drug therapies after stepwise screening and included 125,331 COPD patients. …”
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The Efficacy of Parenteral Nutrition and Enteral Nutrition Supports in Traumatic Brain Injury: A Systemic Review and Network Meta-Analysis by Yan Qin, Maoxia Liu, Fengbao Guo, Du Chen, Peng Yang, Xionghui Chen, Feng Xu

“…We performed this Bayesian network meta-analysis to evaluate the improvement of nutritional indicators and the clinical outcomes of patients with TBI. …”
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Intestinal microbiota shifts by dietary intervention during extreme heat summer episodes in farmed gilthead sea bream (Sparus aurata) by R. Domingo-Bretón, S. Cools, F. Moroni, A. Belenguer, J.A. Calduch-Giner, E. Croes, P.G. Holhorea, F. Naya-Català, H. Boon, J. Pérez-Sánchez

“…This microbiota shift was not driven by environmental colonization as this bacteria genus remained residual in water samples with the increase of temperature. Bayesian network and functional enrichment analyses suggested that the high abundance of Brevinema exploits and negatively enhances a condition of imbalance in intestinal homeostasis, which was almost completely reversed by the use of dietary emulsifiers in combination with low energized diets. …”
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