Proton response and neutron spectrum unfolding by solution-grown trans-stilbene scintillator by Nguyen Duy Quang, H. J. Kim, Sunghwan Kim, Sinchul Kang, Phan Quoc Vuong, Phan Bao Quoc Hieu, Nguyen Kien Cuong, Y. S. Yoon, Uk-Won Nam

“…The unfolding was performed using the iterative Bayesian method without any constraints, smoothness, or assumption of prior knowledge of original spectra. …”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine. …”
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Characterising the scale-up and performance of antiretroviral therapy programmes in sub-Saharan Africa: an observational study using growth curves by Benjamin Bigelow, Stéphane Verguet

“…We fitted non-linear regressions for the two models, assessed goodness of fit using the Bayesian information criterion (BIC), and ranked countries based on their estimated performance drawn from the fitted model parameters.Results We extracted country performance in rates of scale-up of ART coverage, which ranged from ≤2.5 percentage points per year (South Sudan, Sudan, and Madagascar) to ≥8.0 percentage points per year (Benin, Zimbabwe and Namibia), using the Gompertz model. …”
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Three new species of the spider genus Naphrys Edwards (Araneae, Salticidae) under morphology and molecular data with notes in the distribution of Naphrys acerba (Peckham & Peckham)... by Juan Maldonado-Carrizales, Alejandro Valdez-Mondragón, María L. Jiménez-Jiménez, Javier Ponce-Saavedra

“…Four molecular methods for species delimitation were implemented under the corrected p-distance Neighbor-Joining (NJ) criteria: (1) Assemble Species by Automatic Partitioning (ASAP); (2) general mixed Yule coalescent (GMYC); (3) Bayesian Poisson tree process (bPTP); and (4) multi-rate Poisson tree process (mPTP). …”
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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

“…Each base model uses Bayesian optimization for hyperparameter tuning. In addition, the contribution of each input feature and the decision-making process of the model are analyzed using the Shapley additive explanations. …”
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The effect of transcranial direct current stimulation and inhibitory control training on depression and anxiety among post-stroke individuals by Csaba Kazinczi, Noemi Szepfalusi, Viola Luca Nemeth, Adrienn Holczer, Katalin Jakab, Laszlo Vecsei, Peter Klivenyi, Anita Must, Mihaly Racsmany

“…Statistical analysis was performed using a Mixed-model Analysis of Variance, with supplementary Bayesian analysis. Results The AT group showed a significant improvement in BDI scores (p < .001), whereas no significant effects were observed on the HAM-D, STAI-T, or STAI-S scales. …”
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Deep Learning-Based Post-Stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design by Tianzhe Bao, Zhiyuan Lu, Ping Zhou

“…A total of 18 DL models were comprehensively evaluated in both intra-subject testing and inter-subject transfer learning tasks, with two post-processing algorithms (Model Voting and Bayesian Fusion) analysed subsequently. Experiment results infer that for intra-subject testing, the average accuracy of CNN-LSTM using two-dimensional frequency features is the highest, reaching 72.95%. …”
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DiffMAP-GP: Continuous 2D diffusion maps from particle trajectories without data binning using Gaussian processes by Vishesh Kumar, J. Shepard Bryan, IV, Alex Rojewski, Carlo Manzo, Steve Pressé

“…Toward quantifying diffusion coefficient spatial maps and uncertainties from particle tracks, we develop a Bayesian framework (DiffMAP-GP) by placing Gaussian process (GP) priors on the family of candidate maps. …”
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Multifeature Extraction of Three-Dimensional Topography of Carbon Steel Specimen during Fatigue Process by Tao Liu, Jingxiong Wu, Jingfa Lei, Xue Wang, Bingqi Zhang, Shu Zhang

“…The surface height distribution amplitude (A) decreases with the increase of fatigue cycles, which indicates that the height data concentration decreases, and the metal surface becomes uneven. The Bayesian data fusion method was applied to establish a nonlinear mapping between the topography features and the damage, with the above five characteristic parameters (Sa, Δα, A, μ, and δ) as the data layer. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. …”
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Concurrent Learning of Control Policy and Unknown Safety Specifications in Reinforcement Learning by Lunet Yifru, Ali Baheri

“…Initializing with a parametric signal temporal logic (pSTL) safety specification and a small initial labeled dataset, we frame the problem as a bilevel optimization task, intricately integrating constrained policy optimization, using a Lagrangian-variant of the twin delayed deep deterministic policy gradient (TD3) algorithm, with Bayesian optimization for optimizing parameters for the given pSTL safety specification. …”
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Global randomized consensus algorithm resist collusion attack based on game theory by Bao ZHANG, Youliang TIAN, Sheng GAO

“…As the cornerstone of blockchain technology, consensus technology has received more attention with the continuous development of blockchain technology.The development of consensus technology has become more and more rapid, but there are still related problems.Nowadays, fault-tolerant consensus algorithms, as one of the representative blockchain consensus technologies, still have many problems to be studied.The problem of node randomness and node collusion attacks in fault-tolerant consensus algorithms had been studied, and a game-theoretic-based anti-corruption algorithm was proposed.The global randomization consensus algorithm of collusion attack improved the security and throughput of the blockchain network by realizing the randomization of nodes and solving related security problems.In the process of selecting nodes participating in the fault-tolerant consensus algorithm, the global randomization of the initiator and verifier nodes was realized by using the mapping function and the weighted random function, thereby ensuring the identity anonymity of the initiator and verifier nodes and improving the blockchain network security accordingly.The reputation update model was used to realize the dynamic update of the reputation, and the game theory was used to analyze the security problems of the fault-tolerant consensus algorithm.A more correct and efficient algorithm model was constructed to improve the throughput of the algorithm and analyze the problem of collusion attack of more than one third of the nodes in this kind of algorithm, the refined Bayesian game was used to construct a collusion contract and analyze the collusion The Nash equilibrium point between the two nodes was adopted to solve the collusion attack problem of more than one third of the nodes.The security analysis and experiments show that the global randomization consensus algorithm based on the game theory anti-collusion attack is better than PoW、PoS and PBFT.The consensus algorithm is not only effective to improve throughput and reduce computing resource consumption, but also resistant to DDoS, Eclipse attacks and collusion attacks by more than one third of nodes.…”
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The complete mitochondrial genome and phylogenetic implications of Paradoxopsyllus custodis and Stenischia montanis yunlongensis by Bin Chen, Mingna Duan, Shuang Liu, Yafang Liu, Shaobo Tang, Dandan Jiang, Wei Gu, Quanfu Zhang, Xing Yang

“…Phylogenetic relationships among fleas were assessed using maximum likelihood (ML) and Bayesian inference (BI), providing support for the paraphyletic of Leptopsyllidae. …”
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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…This method comprehensively considers the relationship between the LST and surface features, organically combining multiple deep learning modules, includes the Global Multi-Factor Cross-Attention (GMFCA) module, the Feature Fusion Residual Dense Block (FFRDB) connection module, and the U-Net module. In addition, the Bayesian global optimization algorithm is used to select the optimal hyperparameters of the network in order to enhance the predictive performance of the model. …”
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Cyber Deception Against Battery Drain DoS Attacks in Wireless Sensor Networks Using Signaling Game by Ines Carole Kombou Sihomnou, Abderrahim Benslimane, Ahmed H. Anwar, Gabriel Deugoue, Charles A. Kamhoua

“…By applying a perfect Bayesian Nash equilibrium, we derive optimal strategies for both players, analyzing how deceptive signaling affects the attacker&#x2019;s behavior and reduces their potential gain. …”
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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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Association of Training in Basic Life Support with the Evolution of Cardiopulmonary Resuscitation Performed by Firefighters by Marcelo Donizeti Silva, Ricardo Augusto Barbieri, Yan Figueiredo Foresti, Jônatas Augusto Cursiol, Fernando Antônio Viana, Ednei Fernando dos Santos, Karine Pereira Rodrigues, Guilherme da Silva Rodrigues, Juliana da Silva Garcia Nascimento, Maria Celia Barcellos Dalri

“…This was a descriptive, correlational study involving adult firefighters who were members of a specific firefighter group, comprising a population of 105 individuals with a voluntary sample of 44 participants. The study used a Bayesian statistical approach to provide probabilistic expressions. …”
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Efficiency Measurement and Determinant Factors of Marine Economy in China: Based on the Belt and Road Perspective by Yinyin Wang, Conghua Xue, Huimin Li, Kaizhi Yu

“…The influencing factors of efficiency are analyzed using the Bayesian model averaging (BMA) method based on the indicator system constructed on the relationship between the Belt and Road and marine economic efficiency. …”
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The Conscious Side of ‘Subliminal’ Linguistic Priming: A Systematic Review With Meta-Analysis and Reliability Analysis of Visibility Measures by David Hernández-Gutiérrez, Miguel A. Sorrel, David R. Shanks, Miguel A. Vadillo

“…Through meta-analysis and Bayesian re-analysis, we find evidence of low statistical power and of participants having above-chance awareness of ‘subliminal’ words. …”
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Multifaceted taxonomy of two Dactylogyrus species on Enteromius paludinosus: Integrating light microscopy, scanning electron microscopy and molecular approaches by Maduenyane Mpho, Dos Santos Quinton Marco, Avenant-Oldewage Annemariè

“…Phylogenetic topologies were constructed using Bayesian inference. Results confirmed the morphologic and genetic distinctness of D. dominici and D. teresae, highlighting the importance of studying the varying orientations of specifically the vagina and transverse bar. …”
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