Spatiotemporal tensor analysis for effective information mining of hydraulic structures considering environmental excitation and vibration response by Hui Li, Zhang Han, Tengfei Bao, Xiaohan Duan, Guang Yang, Xianyu Xiong, Yibo Ouyang, Jiankang Lou

“…Finally, the data from the sluice model experiment was used to demonstrate the validity of the method proposed in this paper. …”
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Automatic crop type mapping based on crop-wise indicative features by Junru Yu, Longcai Zhao, Yanfu Liu, Qingrui Chang, Na Wang

“…The time series analysis method (i.e., seasonal trend decomposition) and imputation method was then utilized for the discrete time series of CIF extractors, which were separately trained based on training samples on each day. …”
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2D to 1D and 2D to 0D Geometry Generalization Based on the Straight Skeleton by the Dual-Half Edge Structure by A. Gholami, P. Boguslawski, M. Meijers, P. van Oosterom

“…This research contributes to multi-scale GIS modeling, automated map generalization, and spatial data structuring.…”
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Full cycle rice growth monitoring with dual-pol SAR data and interpretable deep learning by Ji Ge, Hong Zhang, Lu Xu, Wenjiang Huang, Jingling Jiang, Mingyang Song, Zihuan Guo, Chao Wang

“…Finally, an interpretable DL architecture incorporating a feature selection explainer and a feature-aware enhanced segmentation model is introduced. This architecture incorporates feature-wise variable learning networks, interprets the importance of individual features, and optimizes the feature composition, significantly enhancing the interpretability of the DL model. …”
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Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention by Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Codruta Ancuti

“…Low-light image enhancement (LLIE) techniques improve the performance of image sensors by enhancing visibility and details in poorly lit environments and have significantly benefited from recent research into Transformer models. This work presents a novel Transformer attention mechanism inspired by the Kolmogorov–Arnold representation theorem, incorporating learnable non-linearity and multivariate function decomposition. …”
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A Branch-and-Price-and-Cut Algorithm for the Integrated Scheduling and Rostering Problem of Bus Drivers by Dung-Ying Lin, Chieh-Ju Juan, Ching-Chih Chang

“…Due to the complexity of scheduling and rostering, bus transportation is not an exception and many relevant studies do not consider both procedures simultaneously. However, such a decomposition can yield inferior schedules/rosters. To address this issue, this paper proposes an integrated scheduling and rostering model for bus drivers and devises a branch-and-price-and-cut (BPC) algorithm to solve the complex problem. …”
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Photocatalytic Activity of Toluene under UV-LED Light with TiO2 Thin Films by Thammasak Rojviroon, Apirat Laobuthee, Sanya Sirivithayapakorn

“…The kinetics of the photocatalytic processes under a UV-LED light source could be explained by the Langmuir-Hinshelwood kinetic model with the specific rates of , , , and  , for TiO2, 0.3% Fe-TiO2, 0.5% Fe-TiO2, and 0.7% Fe-TiO2, respectively. …”
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Fructose-Derived Carbon Dots as Selective Antitumor Agents in Breast Cancer Therapy: Synthesis, Characterization, and Biological Evaluation by Sofia Magalhães, Carla Luís, Abel Duarte

“…BC, known for its complexity and heterogeneity, was chosen as a model due to its increasing mortality and incidence rates. …”
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Combining temperature ramp dry combustion and mid-infrared spectroscopy for enhanced soil organic carbon characterisation by Lewis Walden, Raphael A. Viscarra Rossel

“…Understanding these components is crucial for modelling SOC turnover and stability. Conventional fractionation methods moslty use physical or chemical separations, but techniques such as mid-infrared (MIR) spectroscopy and thermal ramp dry combustion (TRDC) offer complementary, rapid approaches for SOC characterisation. …”
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Child mortality estimation: a comparison of UN IGME and IHME estimates of levels and trends in under-five mortality rates and deaths. by Leontine Alkema, Danzhen You

“…Large differences in U5MR estimates between the UN IGME and the IHME exist in countries with conflicts or civil unrest, countries with high HIV prevalence, and countries where the underlying data used to derive the estimates were different, especially if the exclusion of data series differed between the two research groups. A decomposition of the differences showed that differences in estimates due to using different data (inclusion of data series and pre-processing of data) are on average larger than the differences due to using different trend fitting methods.…”
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Assessing the impact of macroeconomic variables on environmental quality in the MENA using logarithmic mean divisia and co-integration panel by Ali Afzali, Vahid Majed

“…In the first step, the share of each macroeconomic variables was investigated by using the Logarithmic Mean Divisia Index, Which is considered one of the most widely used decomposition techniques in the short term. To long-term analysis, After determining the input values related to MENA region, The panel data method was used that indicate the presence of co-integration in the model, Co-integration concept is reminiscent of a long-run equilibrium relationship between economic systems move over time towards it (Noferesti, 1999). …”
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Global, Regional, and National Burden and Trends of Soft Tissue and Other Extraosseous Sarcomas From 1990 to 2021 by Rui Zhu MD, Ziyuan Shen PhD, Haijuan Zhu MD, Jisen Zhang MD, Xing Xing MS, Shengyou Wang MD, Jialiu Fang MD

“…We assessed the incidence, prevalence, mortality, and Disability-Adjusted Life Years (DALYs) for STOES, categorized by location, sex, and socio-demographic indices. Statistical methods included Estimated Annual Percentage Change (EAPC), Spearman correlation analysis, and Bayesian age-period-cohort modeling. …”
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Spatial Organization of Global Value Chains in the Optical and Electronic Equipment Industry by Mikhail Vyacheslavovich Shatunov, Natalia Anatolyevna Navrotskaya

“…The results of this article are based on combining two approaches to the study of trade flows between countries: value-added trade and the decomposition of value added into domestic and foreign components using the input-output method and the network approach. …”
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Temporal trends and demographic influences on protein-energy malnutrition in China: a comprehensive analysis from 1990 to 2021 by Zhouwei Zhan, Erhan Yu, Rui Huang, Hui Lin, Jiami Yu, Xiaojie Wang, Zengqing Guo, Bijuan Chen

“…Age-standardized incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs) rate were analyzed using joinpoint regression and age-period-cohort (APC) models to assess temporal trends. Decomposition analysis was employed to attribute changes to population aging, population growth, and epidemiological shifts. …”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
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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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Trends and projections of gallbladder and biliary tract cancer in China: a comprehensive analysis from 1990 to 2030 based on the Global Burden of Disease Study 2021 by Zhouwei Zhan, Bijuan Chen, Wenhao Teng, Rui Huang, Hanchen Zheng, Sijing Zhou, Jingjie Xu, Jiami Yu, Hui Lin, Xiaojie Wang, Zengqing Guo, Xiaoyan Lin

“…Joinpoint regression, age-period-cohort (APC) analysis, decomposition analysis, and Bayesian APC (BAPC) models were employed to explore temporal trends and project future burden through 2030. …”
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Spatiotemporal trends in hernia disease burden and health workforce correlations in aging populations: a global analysis with projections to 2050 by Fangyi Dai, Yuzhou Cai, Huayou Luo, Ruo Shu, Tong Zhang, Yong Dai

“…We conducted health inequality analyses and utilized eight time-series machine learning models to project disease burden from 2022 to 2050. …”
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Global impact of dietary risks on cancers: burdens across regions from 1990 to 2021 and the projection to 2035 by Xiangrong Liu, Xiangrong Liu, Xinsheng Zhang, Yulu Wei, Zhimeng Yu, Lu Liu, Xin Qin, Yinghua Liu

“…Decomposition analysis assessed contributions of population growth, aging, and epidemiological transitions, while health inequalities were evaluated using inequality indices. …”
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Stochastic shielding and edge importance for Markov chains with timescale separation. by Deena R Schmidt, Roberto F Galán, Peter J Thomas

“…We extend this analysis to arbitrary discrete population models with first-order kinetics. The resulting decomposition allows us to rank the "importance" of each edge's contribution to the variance of the current under stationary conditions. …”
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