Temporal and spatial trends of accidents with venomous animal in Brazil before and during the COVID-19 pandemic: a population-based ecological study by Thayane Santos Siqueira, Lívia Silveira Silva, Jamile Rodrigues Cosme de Holanda, Sálvia Cely Cerqueira Carvalho, Adriano José dos Santos, Alexrangel Henrique Cruz Santos, José Rodrigo Santos Silva, Victor Santana Santos

“…To analyze the trend, the seasonal-trend model was used based on the classic additive decomposition model. …”
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Mechanisms Behind the Soil Organic Carbon Response to Temperature Elevations by Yonglin Wu, Haitao Li, Xinran Liang, Ming Jiang, Siteng He, Yongmei He

“…At the same time, soil aggregates, clay minerals, and iron and aluminum oxides protect the SOC, making it difficult to be utilized by microbial decomposition. The systematic clarification of the mechanism behind the SOC response to higher temperatures is crucial for accurately predicting and modeling global carbon cycles and effectively responding to the loss of SOC pools due to global temperature elevations.…”
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Global, regional, and national burden of early-onset OA attributable to high BMI: 1990-2021 estimates and 2036 projections from the global burden of disease study. by Binbin Zhang, Bin Dou, Wenzuo Gu, Chuan Lu, Qi Yan, Dawa Zhaxi, Yu Wang, Jiale Xu, Kewen Li

“…Temporal trends in ASDR were quantified using the estimated annual percentage change (EAPC) and Joinpoint regression. Age-period-cohort models and decomposition analysis identified drivers of burden, while inequality was assessed using the Slope Index of Inequality (SII) and Concentration Index (CI). …”
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Using Graph-Enhanced Deep Reinforcement Learning for Distribution Network Fault Recovery by Yueran Liu, Peng Liao, Yang Wang

“…Experiments on the PG&E 69-bus system demonstrate that the proposed method significantly outperforms existing DRL baselines. …”
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Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada by Ahmad Mohsenimanesh, Evgueniy Entchev

“…The charging strategies are based on predicted load utilizing a hybrid machine learning (ML) approach to reduce overall charging in peak periods. The hybrid ML method combines similar day selection, complete ensemble empirical mode decomposition with adaptive noise, and deep neural networks. …”
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The Burden of Severe Periodontitis in China From 1990 to 2021, With Projections to 2050: A Comprehensive Analysis From The Global Burden of Disease Study 2021 by Yuyang Wang, Yinbao Wang, Lu Fan, Yueyuan Yu

“…A range of analytical methods, including comparative analysis, trend analysis, decomposition analysis, hierarchical cluster analysis, health inequality analysis, and predictive modeling, were employed to provide a comprehensive evaluation of the disease burden. …”
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Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction by Emmanuel Onah, Uche Jude Eze, Abdullahi Salahudeen Abdulraheem, Ugochukwu Gabriel Ezigbo, Kosisochi Chinwendu Amorha, Fidele Ntie-Kang

“…This study aimed to enhance predictive performance by refining feature engineering and evaluating a diverse ensemble of machine learning models using the UCI DTC dataset. Methods Unsupervised data engineering—specifically dimensionality reduction and clustering—was used to improve feature quality. …”
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STGAT: Spatial–Temporal Graph Attention Neural Network for Stock Prediction by Ruizhe Feng, Shanshan Jiang, Xingyu Liang, Min Xia

“…Traditional statistical methods typically rely on unrealistic assumptions or oversimplified models, neglecting the nonlinear and high-dimensional characteristics of market data. …”
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Global, regional, and national burden of acute glomerulonephritis from 1990 to 2021 and future trend predictions until 2036: a systematic analysis using the Global Burden of Diseas... by Yangtian Jiao, Xing Chen, Tianyu Zhang, Changyu Ma, Changyu Ma, Congrong Shen, Bo Yu, Bo Yu

“…ObjectiveThis study aimed to analyze the global, regional, and national burden of acute glomerulonephritis (AGN) from 1990 to 2021 and project its trends through 2036 using data from the Global Burden of Disease (GBD) study.MethodsUsing the GBD 2021 dataset, we evaluated the burden of AGN in terms of incidence, mortality, and disability-adjusted life years (DALYs). …”
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Understanding the post-curing behaviors of polymethylacrylimide: Curing kinetics and molecular mobility by Yuan Chen, Xiaolian Qiang, Yaping Zhang, Ningning Song, Lixian Guo, Siyuan Zhang, Chunrong Tian, Keping Chen

“…Differential scanning calorimetry results identified three distinct temperature zones during the post-curing process, which represented different types of curing reactions. Model-free kinetic methods were used to evaluate the post-curing kinetics of PMI materials. …”
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Global, regional, and national burden of inflammatory bowel disease in persons aged 60–89 years from 1992 to 2021 by Zhou Zhang, Na Du, Chun-mei Xu, Wei Chen, Ting-ting-Chen, Yu Xiao

“…Temporal trends were analyzed using Joinpoint regression models. Decomposition analysis assessed the impacts of population growth, aging, and epidemiological changes. …”
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Molecular Insights into the Temperature-Dependent Binding and Conformational Dynamics of Noraucuparin with Bovine Serum Albumin: A Microsecond-Scale MD Simulation Study by Erick Bahena-Culhuac, Martiniano Bello

“…Conformational flexibility and per-residue energy decomposition analyses were conducted, along with interaction network mapping to assess ligand-induced rearrangements. …”
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SLG-Net: Small-Large-Global Feature-Based Multilevel Feature Extraction Network for Ultrasound Image Segmentation by Xinya Fan, Jianwen Hu, Kai Hu

“…Many ultrasound image segmentation methods only focus on capturing local details and global dependencies, whereas ignoring large-scale context information. …”
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A performance-based contract of employment as an innovative mechanism for stimulating the work of scientific and pedagogical workers by V. G. Svechkarev, T. A. Ivashchenko, L. K. Belous, T. E. Galunko

“…The following research methods were used: analysis, synthesis, description, interpretation, comparison. …”
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Global burden of aortic aneurysm attributable to high-sodium diet from 1990 to 2021 by Xiedong Shen, Weiling Tian, Chun Xue, Xiangfuo Ji, Anqi Qu, Jun Lv

“…The Nordpred model was used to project trends from 2022 to 2045.ResultsFrom 1990 to 2021, the global DALYs cases of AA-HSD increased by 103%, and death cases increased by 120%. …”
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Global burden of thyroid cancer in adolescents and young adults (aged 15-39 years) from 1990 to 2021: A systematic analysis of the Global Burden of Disease Study 2021. by Zijian Qiu, Shengjian Yu, Lin Zheng, Ying Lou, Xiuxia Chen, Feng Xuan

“…Projections for disease burden extending to 2040 were generated using the Bayesian Age-Period-Cohort model.<h4>Result</h4>In 2021, there were 48.2 thousand incident cases, 436.1 thousand prevalent cases, and 183.5 thousand DALYs worldwide. …”
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Induction of osteogenesis in rabbit mandibular bone tissue using an albumin-based cryogenically structured porous 3D carrier loaded with a bioregulator by A. I. Shaikhaliev, M. S. Krasnov, E. V. Sidorsky, V. P. Yamskova, V. I. Lozinsky

“…Objective: to study the induction of osteogenesis caused by introducing into the defect area broadly porous cryogenically structured 3D carriers, based on serum albumin and loaded with a bioregulator isolated from bovine serum on an experimental model of mandible defect in rabbits in vivo.Materials and methods. …”
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The development of emotional overeating: a longitudinal twin study from toddlerhood to early adolescence by Vaishnavi K. Madhavan, Zeynep Nas, Jacqueline Blissett, Clare Llewellyn, Moritz Herle

“…Parents reported on children’s emotional overeating at 16 months (n = 3784), 5 years (n = 2064), and 12 years (n = 964), using the Emotional Overeating Scale of the Child Eating Behaviour Questionnaire (CEBQ) at 5 and 12 years, and the CEBQ-T (toddler version) at 16 months. A Cholesky Decomposition twin model was used to quantify the additive genetic, shared, and nonshared environmental influences on emotional overeating at each time point, partitioned into aetiological effects unique to each age and those carried across time. …”
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A systematic analysis and prediction of the disease burden of ischemic heart disease caused by hyperglycemia by Jianxing Chen, Wenlinng Zeng, Dandan Dai, Yujin Tang, Yangwen Dong, Zilan Zhong, Miao Zhou, Jianhong Ye

“…The age‐period‐cohort model was used to assess the impact of age, cohort, and period on age‐standardized disease rates across different Socio‐Demographic Index (SDI) regions, and decomposition analysis was employed to disentangle the contributions of population, aging, and epidemiological changes. …”
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Spatiotemporal Variations and Driving Factors of Carbon Emissions Related to Energy Consumption in the Construction Industry of China by Yue Zhang, Min Li, Jiazhen Sun, Jie Liu, Yinsheng Wang, Li Li, Xin Xiong

“…Spatial and temporal variations in emissions were then analyzed using spatial autocorrelation and kernel density methods. Furthermore, an improved logarithmic mean Divisia index decomposition model, tailored to the characteristics of the construction industry, was applied to quantify the key driving factors. …”
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