Climate change, armed conflict, forced displacement, and epidemic-prone diseases: an exploratory study in northern Syria by Maia C. Tarnas, Naser Almhawish, Ruwan Ratnayake, Yasir Elferruh, Ibrahim Aladhan, MHD Bahaa Aldin Alhaffar, Aula Abbara

“…Seasonal-trend decomposition with locally estimated scatterplot smoothing was also used to detect trends amidst seasonal fluctuations. …”
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Global, regional, and national burden of laryngeal cancer attributable to smoking, 1990–2021, and projections to 2036: a systematic analysis of the Global Burden of Disease study 2... by Liangwen Shi, Zhixing Kuang, Jiannan Tu, Taiqin Wang, Tao Liu, Jingbo Liu, Jianzhi Liu

“…Temporal trends were characterized through Joinpoint regression analysis, while the influence of socioeconomic factors on disease distribution and the associated disparities was probed through correlation analysis. Decomposition analysis was employed to identify the key factors driving changes in DALY and mortality burdens, and the Bayesian Age-Period-Cohort (BAPC) model was used to project future trends.ResultsOver the past 30 years, the global burden of LCAS, as measured by DALYs and the number of deaths, has remained relatively stable with a modest increase of approximately 20.8 and 11.53%, respectively. …”
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Global Burden, Trends, and Inequalities of <i>Clostridioides difficile</i> Infections from 1990 to 2021 and Projections to 2040: A Systematic Analysis by Zhihui Chen, Jing Wu, Xiangru Ye, Jialin Jin, Wenhong Zhang

“…This study aimed to evaluate the global burden, trends, and inequalities of CDI from 1990 to 2021, with projections extending to 2040. Methods: We conducted a systematic analysis of the Global Burden of Disease Study 2021 data for 204 countries and territories. …”
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Analysis of the Influence of Strategic Trends: Methodological Aspect and Application at the Regional Level by R.  I. Gerelishin

“…A hierarchical structure of trends, a scheme for decomposing trends into channels of influence, and proposals for the procedure for assessing their individual and joint influence are presented, for which both econometric modeling and statistical methods, as well as expert assessments, can be used. …”
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Deaths burden of laryngeal cancer attributable to occupational exposure in the male working age population: findings from global burden of disease study 2021 by Donghai Wang, Sen Yang, Wenxing Yu, Zixuan Tang, Qin Wang, Mingzhu Fang, Chunyan Li

“…Decomposition analysis and Bayesian age-period-cohort (BAPC) models were applied to assess trends, drivers, and predict future trends to 2040. …”
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Psychosocial determinants of adherence to public health and social measures (PHSMs) in 18 African Union Member States during the early phase of the COVID-19 pandemic: results of a... by Andrew Johnson, Amanda McClelland, Nandita Murukutla, Akhona Tshangela, Ashish K Gupta, Meena Maharjan, Cecilia Fabrizio, Emily W Myers, Virginia Nkwanzi, Colby A Wilkason, Natalie Lacey, Benjamin Djoudalbaye

“…Factors affecting adherence were ranked using the Shapley regression decomposition method.Results Adherence to PHSMs was high, with better adherence to personal than community PHSMs (65.5% vs 30.2%, p&lt;0.05). …”
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A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO by Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, JunFeng Shi, Qin Wang, Qin Wang, Hongwei Yang, Hongwei Yang, Yusen Qiao

“…IntroductionCT-based classification of distal ulnar-radius fractures requires precise detection of subtle features for surgical planning, yet existing methods struggle to balance accuracy with clinical efficiency. …”
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Neural network-based classification and regression of magnetohydrodynamic modes in tokamaks by L. Bardoczi, K. Won, N.J. Richner, A.C. Brown, D. Chow, P. Li, J. Monahan

“…Since $m,n = 2,1$ NTMs frequently emerge alongside $m,n = 1,1$ sawteeth at the same frequency in this scenario, the focus is on isolating the m  = 1 and m  = 2 components of the n  = 1 MHD mode near the tearing onset. To improve model regularization and prediction stability, singular value decomposition was applied to balance the sawtooth and tearing datasets. …”
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TRUSTWORTHY OF INTEGRATED CIRCUITS: CHARACTERISTICS AND REASONS FOR THEIR VIOLATION by Sergey G. Mosin

“…Systematization of faults and the reasons for their occurrence is the basis for development both models and methods responsible for choosing the appropriate countermeasures to ensure the trustworthiness of the IC at all stages of the life cycle. …”
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Global, regional and national burden of HIV/AIDS among individuals aged 15-79 from 1990 to 2021 by Yuanfang Chen, An-Dong Li, Yizhou Yang, Jing Lu, Yu Xu, Xinyu Ji, Liting Wu, Lei Han, Baoli Zhu, Ming Xu

“…The age-period-cohort model showed peak HIV/AIDS incidence among individuals aged 25–34, with diminishing incidence risk across successive birth cohorts and periods. …”
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Global mortality, prevalence and disability-adjusted life years of Alzheimer’s disease and other dementias in adults aged 60 years or older, and the impact of the COVID-19 pandemic... by Dong-Ting Yu, Rui-Xuan Li, Jing-Ran Sun, Xue-Wen Rong, Xu-Guang Guo, Guo-Dong Zhu

“…All plots and tables were created using Joinpoint Regression model (Version 4.8.0.1), StataMP 18, and R statistical packages (Version 4.4.1). …”
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Mitigate or exacerbate? Assessing digital engagement's impact on mental health inequalities across gender and urban–rural divides by Yangyang Wang, Chen Li

“…Existing researches have focused on the impact of digital inequalities on mental health, but there is lack of research exploring the impact of digital engagement on mental health inequalities. Methods Based on data from the China Family Panel Studies (CFPS) wave 2020, this study analyzed the effects of digital engagement on adult mental health and mental health inequalities using multinomial OLS models and RIF models. …”
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Global burden of metabolic-associated fatty liver disease among women of childbearing age: Trends from 1990 to 2021 and projections to 2040. by Jiaxing Li, Qihui Hu, Jiajie Leng, Baoyong Zhou, Cong Chen, Yaoyue Hu, Bingdi Chao, Zhenhao Huang, Zhenrui Cao, Zhongling An, Jixing Wang, Dingheng Hu, Rui Tao

“…Joinpoint regression and decomposition analysis were used to assess historical trends, and Bayesian Age-Period-Cohort (BAPC) modeling projected future burdens.…”
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Global, regional, and national trends in decubitus ulcer burden from 1990 to 2021 and forecasts to 2040 by Ruijuan Li, Xueneng Yang, Hanbo Chen, Minglin Dong, Jun Shu, Junfei Liu, Ming Zeng

“…Key metrics were assessed through age-standardized rates and absolute counts. Statistical methods such as decomposition analysis and Bayesian age-period-cohort modeling were employed to explore trends and disparities. …”
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Multi-fault diagnosis and damage assessment of rolling bearings based on IDBO-VMD and CNN-BiLSTM by Lihai Chen, Xiaolong Bai, Yonghui He, Dong Jia, Yican Li, Zhenshui Li

“…The HUST dataset is used to discuss the application of signal processing methods and neural network models in bearing composite fault diagnosis. …”
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Drivers of soil organic carbon stocks and stability along elevation gradients by Nicolas Bonfanti, Philippe Choler, Norine Khedim, Jean-Christophe Clément, Pierre Barré, Romain Goury, François Baudin, Lauric Cécillon, Amélie Saillard, Wilfried Thuiller, Jerome Poulenard

“…Estimating SOC stocks and stability, as well as modeling their response to rising temperatures, is crucial for predicting climate change impacts. …”
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Global, regional, and national burden of mortality and DALYs attributable to high body mass index from 1990 to 2021 with projections to 2036 by Feng Xie, Fei Xiong, Baoqin Yang, Zeng Yan, Yong Shen, Hui Qin, Li Chen, Tiantian Chen, Jigui Chen, Shaihong Zhu, Yongbiao Xu, Xulong Sun

“…The autoregressive integrated moving average model was employed to project future trends to 2036. …”
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Analysis of key factors and equity in influenza vaccination among Chinese adults-evidence from a large national cross-sectional survey by Bo Dong, Hengxuan Xu, Ning Tang, Menghan Jiang, Zhihao Lei, Zhihao Lei, Yue Han

“…Subsequently, the importance of influencing factors was assessed through a random forest model, with LASSO used for variable selection. Following this, weighted logistic regression analysis was applied to quantify the significant influencing factors. …”
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Effects of rotation corn on potato yield, quality, and soil microbial communities by Zhicheng Zhang, Zhicheng Zhang, Jiying Sun, Dan Wang, Tuanrong Lin, Yuhe Yin, Wei Wang, Yufeng Wang, Zhen Wang, Longqiu Fan, Xinlei Jiao

“…On this basis, we have conducted an in-depth exploration of the effects of the potato-maize rotation system on the structure and diversity of the soil microbial community, aiming to analyze the internal correlation mechanism between the structure of the soil microbial community and the yield and quality of crops.MethodsThis study was based on fields that had been under potato monoculture for five years and established six experimental treatments: potato-potato-potato (IR-A), potato-maize-potato (IR-B), potato-maize-maize (IR-C), potato-potato-potato (RF-A), potato-maize-potato (RF-B), and potato-maize-maize (RF-C).ResultsThe results showed that under the IR planting model, IR-B significantly increased potato yield and vitamin C content while reducing reducing sugar content compared to IR-A (p &lt; 0.05). …”
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High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks by Shivam Tiwari, Deepak Arora, Barkha Bhardwaj

“…The results show how well machine learning methods and EEG feature extraction might diagnose sleep problems. …”
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