HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning by Jinchen Sun, Haoran Zheng

“…Future research will focus on refining decomposition rules as well as integrating external knowledge while preserving the model’s generalization capabilities.…”
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Analysis of Cardiac Arrhythmias Based on ResNet-ICBAM-2DCNN Dual-Channel Feature Fusion by Chuanjiang Wang, Junhao Ma, Guohui Wei, Xiujuan Sun

“…When evaluated on the MIT-BIH database, our method achieves a classification accuracy of 97.80%. …”
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CoTD-VAE: Interpretable Disentanglement of Static, Trend, and Event Components in Complex Time Series for Medical Applications by Li Huang, Qingfeng Chen

“…Furthermore, existing time series disentanglement methods, including traditional trend or seasonality decomposition techniques, struggle to adequately separate clinically crucial specific components: static patient characteristics, condition trend, and acute events. …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…Then, a time-series decomposition method splits the data into seasonal and trend components. …”
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Second-round effects of food prices on core inflation in Turkey by Türken Fatma, Yildirim Mustafa Ozan

“…This study investigates the second-round effects of food price shocks on core inflation using monthly data from January 2013 to June 2024 through a Bayesian Structural Vector Autoregressive (SBVAR) model. Incorporating domestic and international macroeconomic variables, the model identifies second-round effects by imposing theory-based constraints and leveraging Bayesian methods. …”
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Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and machine learning approaches. …”
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Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme by Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang

“…Regarding point prediction in the developed double prediction system, a novel nonlinear integration method based on a backpropagation network optimized using the multiobjective evolutionary algorithm based on decomposition was successfully implemented to derive the final prediction results, which enable further improvement of the accuracy of point prediction. …”
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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 multistage stratified random sampling method was used to recruit left-behind women, resulting in a final sample of 1503 participants. …”
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Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN by Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

“…Based on the optimal base power of variable-speed pumped storage station (VSPSS), a smoothing method of fuzzy complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed in this paper. …”
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Research on interactive optimization technology in music education games based on EMD-RNN by Xiaohang Yang

“…Experimental results demonstrate that the proposed method achieves a 4.6 % error rate in note recognition and a 63.4 % intonation correctness rate, outperforming traditional models in personalized music education.…”
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New Delay-Range-Dependent Robust Exponential Stability Criteria of Uncertain Impulsive Switched Linear Systems with Mixed Interval Nondifferentiable Time-Varying Delays and Nonline... by Piyapong Niamsup, Narongsak Yotha, Kanit Mukdasai

“…Based on the combination of mixed model transformation, Halanay inequality, utilization of zero equations, decomposition technique of coefficient matrices, and a common Lyapunov functional, new delay-range-dependent robust exponential stability criteria are established for the systems in terms of linear matrix inequalities (LMIs). …”
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Extracting of Fault Features for Rotating Machinery of High-speed Train Based on EEMD Energy Entropy-LPP by Chen ZHANG, Tao FANG, Kaiqi YAN

“…Aiming at the difficulty of extracting the weak fault features of the high-speed train bearing rotor system, a method for extracting the fault features of the high-speed train rotor system based on EEMD energy entropy-LPP was proposed. …”
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Reliability analysis of landing gear operation based on improved support vector machine-based decomposed-coordinated by ZHANG Lei, CHEN Junyu, FENG Jun, FENG Yunwen, LIU Lei

“…Taking the wheel brake temperature difference of main landing gear as an example, the verification of the proposed method in reliability modelling and simulation is carried out. …”
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Efficient Algorithm for the Nonadditive Traffic Assignment Problem With Link Capacity Constraints by Wangxin Hu, Zhongxiang Huang, Shihao Cao

“…Given that existing CNaTAP models and algorithms are typically limited to small experimental networks, the CNaTAP model is formulated as a variational inequality (VI) problem in this paper. …”
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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region by C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh

“…Elliptic envelope demonstrates its efficacy in handling the unique characteristics of the Davangere dataset. This method demonstrated improved performance in refining the crop yield prediction model by identifying and removing outliers, thereby contributing to more accurate predictions and optimized planning in the dynamic landscape of the Davangere region.…”
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Characteristics of NH₃–H₂ Reducing Pellets by Xiaoping Zhang, Zihao Fan, Ao Mi, Junqiang Cong, Zhenghong Hu, Jialong Yang, Baoliang Wen

“…The reduction of hematite with ammonia is a potentially environmentally friendly method of ironmaking. Previous studies on ammonia reduction of pellets typically involved samples weighing only 2.8 g and lacked detailed activation energy analysis for the ammonia-hydrogen co-reduction of pellets. …”
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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 previously analyzed the mathematical basis for the method's remarkable accuracy, and showed that for models with a Gaussian noise approximation, the stationary variance of the occupancy at each vertex in the ion channel state graph could be written as a sum of distinct contributions from each edge in the graph. …”
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Management Accounting of Expenses for Storage of Material Resources in the Conditions of Digital Transformation of the Industrial Enterprise by I. E. Mizikovskii

“…The theoretical and methodological base of the research is structured on the basis of the application of methods of aggregation, decomposition, observation, measurement, classification, generalization, system and statistical analysis; applied approaches of two-stage distribution of indirect costs by cost centers and target costs. …”
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Component-Element Composition of National Economy Forecasting and Planning Methodology by Yu. I. Busheneva

“…The novelty of the research lies in the creation of a decomposition model of the category “methodology of forecasting and planning of the national economy”. …”
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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

“…Addressing challenges in crop growth monitoring, such as limited assessment dimensions, incomplete coverage of growth cycles, and limited deep learning (DL) interpretability, a novel dual-pol SAR rice growth monitoring method using a new crop growth index (CGI) and an interpretable DL architecture is proposed. …”
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