Coupling coordination analysis of agricultural carbon reduction, pollution abatement, green expansion, and growth in Jiangsu Province, China by Zhixian Sun, Yixuan Lu, Xinyue Zheng, Zhiheng Huang, Guanxin Yao

“…Spatiotemporal dynamics were analyzed through Dagum Gini coefficient decomposition, standard deviation ellipse, and Markov chain analysis methods complemented by the panel Tobit model to identify factors influencing the CCD. …”
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Acoustic Emission-Based Pipeline Leak Detection and Size Identification Using a Customized One-Dimensional DenseNet by Faisal Saleem, Zahoor Ahmad, Muhammad Farooq Siddique, Muhammad Umar, Jong-Myon Kim

“…This method effectively reduces computational costs while maintaining robust performance across diverse operating environments.…”
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Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network by Mehdi Veisi

“…The proposed station comprises facilities for hydrogen fueling and electric vehicle charging stations, structured as a bi-level optimization approach. The upper-level model focuses on the planning phase of the refueling station. …”
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Experimental investigation of photocatalytic degradation and antioxidant activities of biosynthesized gold nanoparticles from royal poinciana tree leaves by L. Natrayan, M. Karthick, Chunchu Balarama Krishna, G. Velmurugan, M. Sai Chaithanya, Ramya Maranan, Wubishet Degife Mammo

“…The pseudo-first-order kinetic model was used to describe the photodegradation process. …”
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Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification by Tahir Arshad, Bo peng, Ali Rahman, Rahim khan, Sajid Ullah khan, Sultan Alnazi, Nazik Alturki

“…While Convolutional Neural Networks (CNNs) and Transformers have shown strong capabilities in modeling local and global dependencies, most existing architectures operate directly on raw spectral-spatial inputs and lack explicit mechanisms for frequency-domain decomposition thereby overlooking potentially discriminative phase and frequency components. …”
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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM by Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai

“…For this reason, this paper proposes a combined prediction model based on the Pearson correlation coefficient method, multivariate variational mode decomposition (MVMD), African vultures optimization algorithm (AVOA) for leader–follower patterns, convolutional neural network (CNN), long short-term memory (LSTM), and attention mechanism (AM). …”
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Biased innovation and network evolution: digital driver for green innovation of manufacturing in China by Yang Liu, Jing Cheng, Jingjing Dai

“…This study constructs a Malmquist-Luenberger decomposition index model to identify the input and output biases of green technological innovation (GIIM and GIOM) in the manufacturing industry. …”
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Monte Carlo Simulation for the Frequency Comb Spectrum of an Atom Laser by Alexej Schelle

“…This new quantum approach uses time periodicity and an orthogonal decomposition of the quantum field in a complex-valued quantum field representation to derive and model the quantum field's forward- and backward-propagating components as a standing wave field in the same unique time and temperature domain without quantitative singularities at finite temperatures. …”
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Interstellar Polarization Survey. V. Galactic Magnetic Field Tomography of the Spiral Arms Using Optical and Near-infrared Starlight Polarization by Y. Angarita, M. J. F. Versteeg, M. Haverkorn, V. Pelgrims, C. V. Rodrigues, A. M. Magalhães, R. Santos-Lima, Koji S. Kawabata

“…The results from both polarization decomposition methods agree and complement each other. …”
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Research on ionospheric parameters prediction based on deep learning by Yuntian FENG, Xia WU, Xiong XU, Rongqing ZHANG

“…For ionospheric parameter prediction, the short-term and daily mean value prediction of ionospheric parameters was established by long short-term memory (LSTM) predictive neural network modeling.Two methods of point-by-point prediction and sequence prediction were utilized.Furthermore, in order to predict the hourly and daily changes of ionospheric parameters, the proposed scheme was optimized by multidimensional prediction and empirical mode decomposition (EMD) algorithm.Finally, the feasibility of the proposed optimization algorithm in improving the prediction accuracy of ionospheric parameters is verified.…”
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Global burden of gallbladder and biliary diseases (1990–2021) with healthcare workforce analysis and projections to 2035 by Fangyi Dai, Yuzhou Cai, Shangjin Yang, Jingyang Zhang, Yong Dai

“…We employed the Estimated Annual Percentage Change (EAPC) to assess trends, decomposition analysis to identify drivers of change, health inequality analysis to evaluate distributional disparities, and the Bayesian Age-Period-Cohort (BAPC) model for projections to 2035. …”
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Global, regional, and national burdens of pancreatic cancer attributable to smoking from 1990 to 2021 and the projections to 2035:a systematic analysis from the global burden of di... by Roubing Du, Yu Wang, Mengshu Pan, Jie Zhu, Yaping Zhao, Chuanzhen Zhang, Changhong Liu, Yuan Gao, Yuan Gao

“…Further analyses were conducted using the decomposition analysis and Bayesian Age-Period-Cohort (BAPC) model.ResultsGlobally, the ASDR and ASMR of the disease demonstrated a decreasing trend. …”
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Associations of Violence Against Women With Comorbid Symptoms of Depression and Anxiety Among Left-Behind Women in Rural China: Cross-Sectional Study by Leying Hou, Zeyu Luo, Weidi Sun, Jiayao Ying, Jing Wu, Shiyi Shan, Wen Liu, Peige Song

“…A multivariable logistic regression model was used to estimate the odds ratio and 95% CIs. …”
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Reactivity in cell culture medium and in vitro anticancer activity of 3,5-di-tert-butylcatechol: link to metal-catechol interactions by Aviva Levina, Debbie C. Crans, Peter A. Lay

“…The reactivities and biology activities of a sterically hindered model catechol compound, 3,5-di-tert-butylcatechol (dtbH2) and its oxidation product 3,5-di-tert-butyl-o-quinone (dtbQ), were studied in cell culture medium to understand better the medicinal roles of this class of molecules.MethodsAnti-proliferative activities of dtbH2 and dtbQ in fresh and aged solutions of the molecules were studied in two common human cancer cell lines, T98G (glioblastoma) and A549 (lung carcinoma). …”
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Global, Regional, and National Burden of Ischemic Heart Disease Attributable to 25 Risk Factors and Their Summary Exposure Value Across 204 Countries With Different Socio-Demograph... by Tan J, Xue M, Li H, Liu Y, He Y, Liu J, Liu J, Tang L, Lin J

“…Specifically, we used the joinpoint regression model, decomposition analysis, and systematic fixed-effects analysis to reveal the global, regional, and national burden of IHD attributable to these 25 risk factors and their exposure value across 204 countries and territories with different socio-demographic index (SDI) levels from different perspectives.Results: Joinpoint regression revealed similar trends in summary exposure value (SEV) and attributable burdens for 25 IHD risk factors. …”
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Thermal Radiation Transport with Tensor Trains by Alex A. Gorodetsky, Patrick D. Mullen, Aditya Deshpande, Joshua C. Dolence, Chad D. Meyer, Jonah M. Miller, Luke F. Roberts

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WTDBNet: A Wavelet Transform-Based Dual-Stream Backbone Network for Fine-Grained Ship Detection by Wei Cao, Xinyu Zhao, Hongqi Wang, Yuxin Hu

“…This paper presents a novel model, called Wavelet Transform-based Dual-Stream Backbone Network (WTDBNet), which effectively integrates three key strengths: the ability of the Transformer to model long-range dependencies for global context, the capability of convolutional neural networks to extract detailed local features, and the efficiency of wavelet transform in frequency-domain decomposition for enhancing edges and texture details. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…Secondly, considering the complexity and diversity of wind speed data characteristics, data decomposition technique, autoregressive moving average (ARIMA) model and cuckoo search algorithm are used to achieve data preprocessing, serial data modelling and hybrid prediction. …”
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Book Recommendation Using Collaborative Filtering Algorithm by Esmael Ahmed, Adane Letta

“…In addition, it presents a comparative study among memory-based and model-based approaches. In this study, researchers used design science research method. …”
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State of Health Prediction of Pure Electric Vehicle Batteries Based on Patch Wavelet Transformer by Min Wei, Siquan Yuan, Lin Chen, Yuhang Liu, Jie Hu

“…To address this issue, a Transformer-based model, named PWT, which integrates a patching strategy with wavelet decomposition, is proposed. …”
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