Spatiotemporal Forecasting of Traffic Flow Using Wavelet-Based Temporal Attention by Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra, Kripabandhu Ghosh, Uttam Kumar, Tanujit Chakraborty

“…Traditional statistical and machine learning methods struggle to handle both temporal and spatial dependencies in such datasets. …”
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Temporal trends in prevalence and years of life lived with disability for hearing loss in China from 1990 to 2021: an analysis of the global burden of disease study 2021 by Yuhuan Sun, Yang Yi, Geyao Huang, Shihao Jiang, Yuchen Zhou, Hongkun Chen, Dahui Wang, Dahui Wang

“…This study analyzes the burden of HL in China from 1990 to 2021 and projects future trends in next 15 years.MethodsData derived from the Global Burden of Disease (GBD) 2021 study were utilized. …”
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Spatiotemporal Variation and Driving Mechanisms of Carbon Budgets in Territorial Space for Typical Lake-Intensive Regions in China: A Case Study of the Dongting Lake Region by Suwen Xiong, Zhenni Xu, Fan Yang, Chuntian Gu

“…Finally, using the logarithmic mean Divisia index (LMDI) decomposition model, this study examines the driving mechanisms of carbon budgets from a territorial space perspective. …”
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Price relationships and market linkages of by-product critical metals across multiple time scales: A case study of copper and cobalt by SU Hui, WU Qiaosheng, CHENG Jinhua, ZHOU Na, BI Zhiwei

“…Based on the ensemble empirical mode decomposition, nonlinear Granger causality tests, DCC-GARCH model, and MSVAR model, the study analyzed the bidirectional price relationships, dynamic market associations, market linkage evolution, and their influencing factors across different time scales from 2008 to 2022. …”
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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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Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary by Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen

“…The key idea in SRDS method is to identify the subspaces from a training data set in the transformed spherical harmonic domain and then cluster each deformation into the best-fit subspace for fast and accurate representation. …”
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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 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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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

“…<b>Methods</b>: Microsecond-scale molecular dynamics (MD) simulations and Molecular Mechanics Generalized Born Surface Area (MMGBSA)-binding-free energy calculations were performed to investigate the interaction between noraucuparin and BSA at 298 K and 310 K. …”
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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

“…BackgroundThis study aims to investigate the impact of high-sodium diet (HSD) on the global burden of aortic aneurysm (AA), analyze its epidemiological trends across different regions, sexes, and age groups, and project future trends.MethodsData were obtained from the Global Burden of Disease Study 2021 (GBD 2021) to assess the disability-adjusted life years (DALYs) and death cases of AA attributable to HSD (AA-HSD) from 1990 to 2021. …”
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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

“…This study aimed to estimate the global burden of TC among AYAs from 1990 to 2021.<h4>Methods</h4>Utilizing the Global Burden of Disease (GBD) 2021 data, we analyzed age-standardized rates of incidence, prevalence, and disability-adjusted life-years (DALYs) on global, regional, and national scales. …”
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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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PSO-optimized dual-channel BP neural network for bathymetric prediction using multisource marine geodetic data: A case study of the gulf of Mexico by Jiajia Yuan, Haoran Liu, Jianli Chen, Chen Yang

“…The decomposition of gravity anomalies into long- and short-wavelength components and their residuals proves to be the most effective approach for improving bathymetric prediction accuracy, while PSO optimization enhances model convergence and reduces prediction errors. …”
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Enhancing energy efficiency and decarbonization of cement production through integrated calcium-looping and methane dry reforming (CaL-DRM) for in-situ CO2 conversion to syngas by Fangshu He, Jiaomei Ma, Qiang Hu, Jiashuo Wang, Yingquan Chen, Haiping Yang, Yang Yang

“…CO2 emissions were analyzed at key stages of cement production process, focusing on fuel combustion and carbonate decomposition at the calciner and rotary kiln, with a comparison of the conventional method and the CaL-DRM process to quantify emissions at each stage. …”
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