Exploring the mechanism of trait depression and cognitive impairment on the formation of among individuals with methamphetamine use disorder under varying degrees of social support by Wei Wang, Wei Wang, Guangsheng Sun, Guangsheng Sun, Chen Li, Chen Li, Cunxi Qiu, Junyi Fan, Yuhan Jin

“…The individuals with methamphetamine use disorder were assessed using the Beck Scale for Suicide Ideation (BSSI), and the detection rate of suicidal ideation among these patients was 23.92%. The Bayesian Mindsponge Framework (BMF) analysis was utilized to examine the risk factors for suicidal ideation among these individuals.ResultsThe result revealed that trait depression and cognitive impairment are positively correlated with suicidal ideation in people, whereas social support has a moderating effect on the relationship between trait depression and cognitive impairment with suicidal ideation.ConclusionSuicidal ideation in individuals with methamphetamine use disorder is influenced by a multitude of factors, including family, society, and stress. …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…Hyperparameter tuning is achieved through the Bayesian optimization algorithm to identify the model parameter set that maximizes test set accuracy.ResultsAnalysis of the transformer fault case library reveals that the model proposed in this paper reduces diagnostic time by nearly half compared to traditional machine learning diagnosis models. …”
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Generalization of stochastic mortality models to improve mortality prediction in life insurance and pension funds by Shirin Shoaee, Mohammad Mehdi Gholi Keshmarzi

“…After estimating the parameters of the studied models and calculating the prediction of the mortality rates, by calculating the mean absolute error and root mean squares error of prediction, it is determined that the generalization of stochastic mortality models by the CIR process performs much better than static mortality models. The Bayesian information criterion also indicates that the use of generalized stochastic mortality models is justified.Originality/Value: In this study, stochastic mortality index models, which include Lee-Carter and Cairns-Blake-Dowd family models, are used and generalized by the CIR process. …”
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Comparison of growth curves with non-linear models in japanese quails of different plumage color by Serdar Guler, Emre Arslan, Muhammet Mucahit Sari, Orhan Cetin

“…Coefficient of Determination (R²), Adjusted Coefficient of Determination (R² _adj), Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC) and mean square errors (MSE) were determined 0,9968; 0,9952; 24,8801; 24,7179 and 25,9657 for brown; 0,9975; 0,9963; 22,9149; 22,7527 and 19,6099 for yellow plumage-colored quails, respectively. …”
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The trends of lung cancer burden in BRICS from 1990 to 2021 and its projection to 2035 by Yifan Wang, Jingwen Zhu, Shaoqiang Wang, Jihong Zhou

“…Trends in lung cancer burden from 1990-2021 were analyzed using Joinpoint 4.9.1.0, and Bayesian age-period-cohort (BAPC) analyses were performed using R4.4.1 to project the disease burden of lung cancer from 2021-2035.ResultsAAPC(average annual percentage change) and EAPC(estimated average percentage change) of ASIR(age-standardized incidence), ASPR(age-standardized prevalence), ASMR(age-standardized mortality), and ASDR(age-standardized disability-adjusted life year) for lung cancer in Brazil, Russia, and Ethiopia 1990-2021 were less than 0. …”
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Statistical exploration of factors associated with birth of children having sickle cell traits among reproductive-age women in Nigeria by Gabriel Ogunde, Ayodele Shabi, Joshua O. Akinyemi

“…Subsequently, we assessed multilevel Poisson, ordinal and binary logit models to identify the best fitting model using Akaike and Bayesian Information Criterion. Multilevel binary logistic regression model was identified as best fit used to identify factors associated with having children with SCT. …”
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Depressive, anxiety, and sleep disturbance symptoms in patients with obstructive sleep apnea: a network analysis perspective by Xue Luo, Shuangyan Li, Qianyun Wu, Yan Xu, Ruichen Fang, Yihong Cheng, Bin Zhang

“…The Least Absolute Shrinkage and Selection Operator (LASSO) technique and the Extended Bayesian Information Criterion (EBIC) were utilized to estimate the network structure of depressive, anxiety, and sleep disturbance symptoms. …”
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Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations by Calenge, Clément, Payne, Ariane, Réveillaud, Édouard, Richomme, Céline, Girard, Sébastien, Desvaux, Stéphanie

“…Our first aim was to describe the dynamics of the infection in these clusters. We developed a Bayesian model of prevalence accounting for the spatial structure of the cases, the imperfect and variable sensitivity of the diagnostic tests, and the correlation of the infection status of badgers in the same commune caused by local factors (e.g., social structure and proximity to infected farms). …”
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Spatial associations between measures of public transportation and diabetic foot ulcer outcomes in the state of Georgia: 2016–2019 by Mohammed K Ali, Lance Waller, Rohan D'Souza, Howard H Chang, Lauren T Vanasse, Marcos C Schechter

“…Introduction There are limited data regarding the associations between public transportation reliance, availability, and diabetic foot ulcer (DFU)-related amputations.Research design and methods We used visit-level data from the Georgia 2016–2019 Healthcare Cost and Utilization Project database and obtained transportation variables from open sources. Using Bayesian spatial-temporal models, we assessed the associations between transportation and DFU-related amputations within each quartile of poverty status indicators at the ZIP code tabulation area (ZCTA) level. …”
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Mental health and socio-cognitive predictors of adherence to COVID-19 social distancing rules in adolescents in England by Giacomo Bignardi, Saz P. Ahmed, Marc Bennett, Darren Dunning, Kirsty Griffiths, Jovita T. Leung, Ashok Sakhardande, Blanca Piera Pi-Sunyer, Willem Kuyken, Tim Dalgleish, Sarah-Jayne Blakemore

“…Of these, 205 participants reported their compliance with COVID-19 social distancing rules and attendance at social gatherings between June and August 2020. Bayesian ordinal regression models were used to predict adherence to social distancing from predictors, controlling for age at pandemic, gender, day of assessment, and intervention group. …”
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Relative Performance of Model Selection Criteria for Cox Proportional Hazards Regression Based on Kullback’s Symmetric Divergence by Clarisse Houénafa Dete, Bruno Enagnon Lokonon, Kossi Essona Gneyou, Marcel Senou, Romain Glèlè Kakaï

“…For this purpose, we compared the Kullback information criterion (KIC) and the corrected KICKICc with other information criteria such as the Akaike information criterion AIC, corrected AICAICc, and Bayesian information criterion BIC using a Monte Carlo experiment. …”
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Causes of death among older children and adolescents (5–19 years) in the Magu Health and Demographic Surveillance Study, Tanzania, 1995–2022 by Sophia Kagoye, Milly Marston, Yasson Abha, Eveline T. Konje, Mark Urassa, Jim Todd, Ties Boerma

“…Methods Using longitudinal data from the Magu Health and Demographic Surveillance System in northwest Tanzania, we identified leading causes of death among 5–19-year-olds from verbal autopsy interviews, using physician review and a Bayesian probabilistic model (InSilicoVA). We analyzed trends in cause and place of death using three periods: 1995–2004, 2005–2014 and 2015–2022, and assessed risk factors in a Cox-proportional hazards model. …”
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Current and projected incidence rates of pancreatic cancer in 43 countries: an analysis of the Cancer Incidence in Five Continents database by Jie He, Yi Li, Rui Liu, Xing Zhang, Baojin Hua, Bo Pang, Songting Shou, Xiaochen Jiang, Fudong Liu, Xiyuan Zhang, Geer En, Zhiqing Pu

“…Based on available data, we calculated age-standardized incidence rates (ASRs) per 100 000 people for 1988–2012. A Bayesian age-period-cohort model was used to predict the number of new cases and incidence rates up to 2030.Results From 1988 to 2012, the global incidence rate of pancreatic cancer showed a continuously increasing trend, with the ASR increasing from 5.89 in 1988 to 6.78 in 2012, representing an overall average annual percentage change of 8.45%. …”
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Analysis of genetic relationships in the breeding material of <i>Prunus armeniaca</i> L. from the collection of the Mountain Botanical Garden, Dagestan by D. M. Anatov, I. I. Suprun, I. V. Stepanov, R. M. Osmanov, S. V. Tokmakov

“…Clustering the accessions with the principal coordinates analysis and Bayesian analysis on the basis of their genotyping data made it possible to identify general patterns in the distribution of cultivars and seedlings, namely the concentration of seedlings next to their maternal parents. …”
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Maintenance of Genetic Diversity Despite Population Fluctuations in the Lesser Prairie‐Chicken (Tympanuchus pallidicinctus) by Andrew J. Lawrence, Scott A. Carleton, Sara J. Oyler‐McCance, Randy W. DeYoung, Clay T. Nichols, Timothy F. Wright

“…We did not detect genetic structure using multiple Bayesian clustering approaches. Furthermore, there was no support for recent genetic bottlenecks, and we estimated that the Ne ranged from 229.5 (pcrit = 0.05, 95% CIs = 121.2–1023.1) to 349.1 (pcrit = 0.02, 95% CIs = 176.4–2895.2) during our final sampling period (2013–2014). …”
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Optimizing the selection of quantitative traits in plant breeding using simulation by Rafael Augusto Vieira, Ana Paula Oliveira Nogueira, Roberto Fritsche-Neto

“…Regular updates of training sets are critical, regardless of genetic architecture. Bayesian methods perform well with fewer genes and in early breeding cycles, while BLUP is more robust for traits with many QTL, and RR-BLUP proves flexible across different conditions. …”
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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

“…Thus, network meta-analyses play an important role in allowing health-care decision makers to compare the effectiveness of treatment options. **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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Drought before fire increases tree mortality after fire by C. Alina Cansler, Micah C. Wright, Phillip J. vanMantgem, Timothy M. Shearman, J. Morgan Varner, Sharon M. Hood

“…To evaluate whether drought increases the likelihood of post‐fire tree mortality, we used a large database of tree survival and mortality from 32 years of wildland fires covering four dominant western North American conifers. We used Bayesian hierarchical modeling to predict the probability of individual tree mortality after fire based on species—Pinus contorta (lodgepole pine), Abies concolor (white fir), Pseudotsuga menziesii (Douglas‐fir), and Pinus ponderosa (ponderosa pine)—bark thickness, bark char, percentage live tree crown scorched or consumed crown volume scorch (CVS), and mean annual climatic water deficit (CWD) anomalies the year pre‐fire and fire year relative to the 1985–2015 reference period. …”
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Genetic Variation and Bottleneck Tests in Iraqi Native Cows of Babylon Province by STR Markers by Hayder R. Alnajm, Talib A. Alrubaye, Arash Javanmard

“…The native cow's population is not at bottleneck, and normal L-shaped distribution of allele frequencies, that it has not experienced any recent decline in effective population size and has remained in equilibrium between mutation and drift. The Bayesian analysis showed that all animals were heterogeneous and formed three distinct clusters. …”
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Linear IgA bullous dermatosis secondary to drugs: a real-world pharmacovigilance study of the FDA adverse event reporting system by Yixuan Yang, Hanzhang Xie, Shuhan Liu, Ying Jia, Bingnan Cui, Zhanshuo Xiao

“…The Reporting Odds Ratio, Proportional Reporting Ratio, Bayesian Confidence Propagation Neural Network, and Empirical Bayes Geometric Mean were calculated to assess the reported associations between available drugs and LABD. …”
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