The Concept of a Method for Predicting the Cascade Effect Under Conditions of Hybrid Warfare by WRÓBLEWSKI Wojciech, WIŚNIEWSKI Michał

“…Using complementary tools such as process analysis, risk assessment, Petri nets, and Bayesian network in the form of the Critical Infrastructure Security Situational Management methodology, the authors provide a comprehensive solution for modeling how to protect the life and health of the civilian population. …”
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Water Cycle Bat Algorithm and Dictionary-Based Deformable Model for Lung Tumor Segmentation by Mamtha V. Shetty, D. Jayadevappa, G. N. Veena

“…In the preprocessing stage, a median filter is used to remove the noise from the input image and to segment the lung lobe regions, and Bayesian fuzzy clustering is applied. In the proposed method, deformable model is modified by the dictionary-based algorithm to segment the lung tumor accurately. …”
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Quality Control of Olive Oils Using Machine Learning and Electronic Nose by Emre Ordukaya, Bekir Karlik

“…Different machine learning classifiers such as Naïve Bayesian, K-Nearest Neighbors (k-NN), Linear Discriminate Analysis (LDA), Decision Tree, Artificial Neural Networks (ANN), and Support Vector Machine (SVM) were used. …”
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The association between salivary oxytocin, age, and puberty in children with and without OCD by Anna-Rosa Cecilie Mora-Jensen, Line Katrine Harder Clemmensen, Manja Gersholm Grønberg, Eli R. Lebowitz, Daniel S. Quintana, Niklas Rye Jørgensen, Charlotte Sewerin Larsen, Lasse Kristoffer Bak, Gitte Lund Christensen, Linea Pretzmann, Valdemar Uhre, Sofie Heidenheim Christensen, Camilla Uhre, Nicoline Løcke Jepsen Korsbjerg, Christine Lykke Thoustrup, Julie Hagstrøm, Melanie Ritter, Kerstin Jessica Plessen, Anne Katrine Pagsberg, Nicole Nadine Lønfeldt

“…Bayesian analysis indicated anecdotal to moderate support for the null hypothesis. …”
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Global burden and trends of norovirus-associated diseases from 1990 to 2021 an observational trend study by MengLan Zhu, MengLan Zhu, ZiLing Huang, TongTong Liu, ChenNan Wu, ZhiHan Shang, LuLu Zhang

“…A comprehensive age-period-cohort model evaluated the key mortality risk factors. Furthermore, a Bayesian age-period-cohort analysis was conducted to forecast trends up to 2035, providing valuable insights for policy formulation and resource allocation.ResultsIn 2021, the global age-standardized mortality rate (ASMR) for NADs was 1.62 per 100,000 population (95% UI: 0.35 to 2.91), while the age-standardized DALY rates (ASDR) was 79.02 years per 100,000 population (95% UI: 26.61 to 132.26). …”
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Cost Analysis for Robotic and Open Gastrectomy by Yuki Hirata, MD, PhD, Heather G. Lyu, MD, MBI, Ahad M. Azimuddin, MBA, Pamela Lu, MD, Jeeva Ajith, MBA, Jason A. Schmeisser, Elizabeth P. Ninan, MBA, Kyung Hyun Lee, PhD, Brian D. Badgwell, MD, MS, Paul Mansfield, MD, Naruhiko Ikoma, MD, MS

“…We investigated factors potentially associated with high cost and estimated the likelihood of RG to reduce overall cost under a Bayesian framework. All cost data were converted to ratios to the average cost of all operations performed at our center in year FY2021. …”
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Causal associations between osteoporosis and HBV infection across Asian and European populations: evidence from Mendelian randomization and colocalization analysis by Zhengnan Li, Jiarui Cao, Ke Li, Yixin Wu, Zhanpeng Luo, Rui Cao, Zhiheng Cheng, Zhendong Tian, Yiyang Han, Yuping Lai, Bangqi Wang, Shen Chen

“…Additional MR methods and sensitivity analyses further validated the reliability and robustness of our results. Bayesian co-localization analysis revealed co-localization of HBV infection and osteoporosis on STAT4 at rs11889341based on East Asian GWAS data.ConclusionsOur study identified a causal relationship between HBV infection and osteoporosis in East Asian and European populations. …”
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Three new asexual Kirschsteiniothelia species from Guizhou Province, China by Xing-Juan Xiao, Ning-Guo Liu, Jian Ma, Li-Juan Zhang, Dan-Feng Bao, Song Bai, Fatimah Al-Otibi, Kevin D. Hyde, Yong-Zhong Lu

“…Phylogenetic analyses of ITS, LSU, and SSU sequences, performed using Maximum Likelihood and Bayesian Inference methods, confirmed that these isolates belong to Kirschsteiniothelia. …”
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Distributed Cooperative Search Control Method of Multiple UAVs for Moving Target by Chang-jian Ru, Xiao-ming Qi, Xu-ning Guan

“…Based on detection results of onboard sensors, target probability map is updated using Bayesian theory. A Gaussian distribution of target transition probability density function is introduced to calculate prediction probability of moving target existence, and then target probability map can be further updated in real-time. …”
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New strategies for probing $$B\rightarrow D^*\ell \bar{\nu }_\ell $$ B → D ∗ ℓ ν ¯ ℓ lattice and experimental data by M. Bordone, A. Jüttner

“…The analysis is based on the form-factor parameterisation by Boyd–Grinstein–Lebed (BGL), using Bayesian and frequentist statistics, for which we discuss novel strategies. …”
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Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage by Yan-long Chen, Pei-lin Zhang, Bing Li, Ding-hai Wu

“…This quantum-inspired shrinkage algorithm combines three elements: an adaptive non-Gaussian statistical model of dual-tree complex wavelet transform (DTCWT) coefficients proposed to improve practicability of prior information, the quantum superposition introduced to describe the interscale dependencies of DTCWT coefficients, and the quantum-inspired probability of noise defined to shrink wavelet coefficients in a Bayesian framework. By combining all these elements, this signal processing scheme incorporating the DTCWT with quantum theory can both reduce noise and preserve signal details. …”
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Extended Kalman Filter-Based Approach for Autonomous Synchronization and Ranging in GPS-Denied Environments by Xiaobo Gu, Weiqiang Tan, Di Zhang, Yudong Lu, Ruidian Zhan

“…The simulation results show that the proposed estimator achieves a relative good performance than the existed estimators. In addition, a new Bayesian Cramér–Rao Lower Bound (B-CRLB) is derived. …”
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Splitting Travel Time Based on AFC Data: Estimating Walking, Waiting, Transfer, and In-Vehicle Travel Times in Metro System by Yong-Sheng Zhang, En-Jian Yao

“…A new estimation model based on Bayesian inference formulation is proposed in this paper by integrating the probability measurement of the OD pair with only one effective route, in which all kinds of times follow the truncated normal distributions. …”
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Survival and Mortality in Hospitalized Children with COVID-19: A Referral Center Experience in Yazd, Iran by Farimah Shamsi, Mehran Karimi, Zahra Nafei, Elahe Akbarian

“…The survival rate after one-month follow-up was 0.88, and the most significant predictors associated with survival time were the male sex, positive history of hospitalization, lymphopenia, hypoxia, and length of stay more than two weeks using Bayesian Cox regression analysis. Conclusion. Accurate estimation of the impact of predictors on poor outcomes may help healthcare providers use therapeutic protocols based on risk factors and healthcare requirements of each patient to improve their survival.…”
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Machine learning mathematical models for incidence estimation during pandemics. by Oscar Fajardo-Fontiveros, Mattia Mattei, Giulio Burgio, Clara Granell, Sergio Gómez, Alex Arenas, Marta Sales-Pardo, Roger Guimerà

“…In particular, we use Bayesian symbolic regression to automatically learn the closed-form mathematical models that most parsimoniously describe incidence. …”
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Distributed trust management scheme based on blockchain in Internet of vehicles by Haibo ZHANG, Yukun CAO, Kaijian LIU, Ruyan WANG

“…Aiming at the security problems caused by the low efficiency and accuracy of malicious vehicle identification in Internet of vehicles, a distributed trust management scheme based on blockchain in Internet of vehicles was proposed.A false information identification strategy was designed by aggregating the scoring information of vehicles, combined with Bayesian inference model.A reputation value updating algorithm was designed by combining the historical interaction information of vehicles and traffic information, malicious vehicles were identified by the reputation threshold.A blockchain was constructed roadside units to realize the distributed storage of traffic data and vehicle reputation values.The traditional proof of work consensus mechanism was improved to dynamically change the difficulty of miner node generating a block through the event level and the number of vehicles involved in scoring, and the waiting mechanism was used to temporarily stop the nodes that had recently blocked from participating in the election process of miner nodes, thus reducing the resource consumption caused by repeated calculations.The simulation results show that the proposed scheme can effectively identify false information, resist the deceptive behavior of malicious vehicles, improve the identification efficiency of malicious vehicles, reduce resource consumption, and is effective and feasible in distributed trust management for Internet of vehicles.…”
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Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform by Biniyam Mulugeta Abuhayi, Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Miraf Alemayehu Lakew

“…The classification phase employs an ensemble of four classifiers: support vector machines, Bayesian network, random forest, and logistic regression. …”
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Quantifying Uncertainty of Insurance Claims Based on Expert Judgments by Budhi Handoko, Yeny Krista Franty, Fajar Indrayatna

“…In Bayesian statistics, prior specification has an important role in determining the quality of posterior estimates. …”
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High-Dimensional Cox Regression Analysis in Genetic Studies with Censored Survival Outcomes by Jinfeng Xu

“…For the high-dimensional (p→∞, p≪n) or ultrahigh-dimensional case (n→∞, n≪p), both the sure independence screening (SIS) method and the extended Bayesian information criterion (EBIC) can be further incorporated into the penalization methods for variable selection. …”
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Evaluation Algorithm of Labor Legal Effectiveness for Affirmative Action against Gender Discrimination by Liao Juan

“…Finally, the tree enhanced Bayesian network is used to classify the labor legal effectiveness evaluation indicators, and the correlation between the indicators is determined through the Spearman rank correlation coefficient. …”
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