UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data by Shiyang Zhou, Qingyong Zhang, Peng Xiao, Bingrong Xu, Geshuai Luo

“…To address the above problems, we design a novel STLF model called UniLF based on Transformer framework, which contains the proposed convolutional enhancement-fusion embedding method to capture the correlations between load and covariates for embedding, the proposed feature reconstruction-decomposition block to distill multiscale features as well as more detailed local-global variations from 2D space and the core mask-guided multiscale interactive self-attention mechanism to further realize the enhanced interactions of scale features and temporal features. …”
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A Novel Fault Diagnosis Model for Bearing of Railway Vehicles Using Vibration Signals Based on Symmetric Alpha-Stable Distribution Feature Extraction by Yongjian Li, Weihua Zhang, Qing Xiong, Tianwei Lu, Guiming Mei

“…Finally, the experimental results demonstrate that the proposed approach performs more effectively and robustly than the other methods in small-scale samples for fault detection and classification of railway vehicle bearings.…”
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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

“…This study explored a novel method using fructose-derived carbon dots (FCDs) for antitumor therapy in breast cancer (BC), marking a pioneering use of fructose as a carbon source for nanoparticle synthesis. …”
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The impacts on population health by China's regional health data centers and the potential mechanism of influence by Jiaoli Cai, Yue Li, Peter C Coyte

“…The corrected concentration index was used to measure health inequality, while Wagstaff decomposition method was applied to examine the marginal influence of the policy effect on health inequality. …”
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The EU Public Debt Synchronization: A Complex Networks Approach by Fotios Gkatzoglou, Emmanouil Sofianos, Amélie Barbier-Gauchard

“…This study examines the evolution of public debt among the 27 EU member states using Graph Theory tools; the Threshold Weighted–Minimum Dominating Set (TW–MDS) and the k-core decomposition method, alongside a standard network quantitative metric, the density. …”
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Spatial Inequality by Sergio Rey

“…The discussion includes a review of traditional inequality measures and introduces spatial decomposition methods that account for the geographical distribution of income. …”
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Feature extraction for safety coalmine gas concentration prewarning based on HHT and SVD by Dingwen Dong, Yuehao Wang, Wenpei Zhao

“…In view of the mine gas concentration varies with the production process. Methods The data sequence of real-time gas monitoring were decomposed into the Intrinsic Mode Function (IMF) with different time scales by using Empirical Mode Decomposition (EMD), then the noise signals in it is eliminated by using Hilbert spectrum analysis, furthermore, combined EMD with Singular Value Decomposition (SVD), the singular value sequence is extracted to reflect the intrinsic feature of the gas concentration. …”
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Global and regional trends in the burden of surgically confirmed endometriosis from 1990 to 2021 by Ruijie Li, Ling Zhang, Yi Liu

“…Managing this condition remains a major challenge, and more refined policies and interventions are needed to effectively address the burden of endometriosis.…”
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Inoculation of the fungi-static C. iranensis ZJW-6 accelerates compost maturation, enhances fertilizer efficiency, and increases the abundance of target microbes in spring and autu... by Dongchao Wang, Jingqi He, Liangdong Li, Gaoyuan Wu, Zixian Jiang, Baifeng Cang, Meikang Wu, Min Nuo, Zichen Liu, Jiaxuan Li, Shengbo Xu, Xintong Ma, Zhihai Wu, Meiying Yang

“…IntroductionStraw composting is an effective way of straw resource utilization, and inoculation of microorganisms can accelerate straw decomposition. This study initially investigated the effects of adding fungi-static C. iranensis (ZJW-6) on lignocellulose, humic acid, and bacterial communities during the spring and autumn composting of rice straw in Northeast China.MethodsZJW-6 is a cellulose degrading bacterium, which is used as the microorganism for composting inoculation. …”
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Modulating the Evolution of Metastable CaO* for the Near‐Theoretical Performance Breakthrough of Ni/CeO2‐CaO in Integrated CO2 Capture and Methanation by Lifei Wei, Rui Han, Gaoqi Han, Han Yan, Mingke Peng, Zhiyong Li, Chunfeng Song, Qingling Liu

“…This strategy significantly shortens the existence time of the transition state CaO*, enabling CaCO3 to be converted into CaO more rapidly. Compared with the traditional sol–gel method, the sintering of CaO is more effectively inhibited. …”
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Effect of CaO nanocatalyst on bio-oil production from algae and date seeds via microwave-assisted co-pyrolysis by Mustafa Al Dulaimi, Firas Al Oqaili, Sarmad Al-anssari, Abdul Amir H. Kadhum, Husam Talib Hamzah, Veluru Sridevi, Thamer Adnan Abdullah, Oday Abdullah

“…More oil and char were produced due to the synergy that occurred during co-pyrolysis. …”
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Learning Random Access Schemes for Massive Machine-Type Communication With MARL by Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro, Alvaro Valcarce

“…Moreover, the robustness of the proposed method in terms of scalability is also shown through simulations.…”
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Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

“…The results indicate that the incorporation of entropy features and grinding parameters in the model provide more information pertinent to grinding surface roughness, thereby effectively enhancing the predictive accuracy.…”
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Pattern regionali e demografici del Covid-19 durante la prima ondata pandemica in Italia. Proposta di uno studio pilota per l’applicazione della metodologia shift-share alla dinami... by Francesca Silvia Rota, Marco Bagliani, Paolo Feletig

“…For this reason, at the end of our study, it is suggested the opportunity to test the robustness of the proposed method using as case study other European nations (for example, France, Spain or Germany) characterised by more significant heterogeneity of the regional population than Italy.…”
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Zooming Into Precision: The Zoom TFD for High-Resolution Analysis of Non-Stationary Signals by Nisreen Said Amer, Samir Brahim Belhaouari

“…This paper introduces Zoom TFD, a time-frequency decomposition (TFD) method designed for the high-resolution analysis of non-stationary signals, achieving optimal energy concentration, high time-frequency resolution, and inherent cross-term suppression. …”
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End-to-End Interrupted Sampling Repeater Jamming Countermeasure Network Under Low Signal-to-Noise Ratio by Gane Dai, Xiaoxuan Yang, Sha Huan, Ziyang Chen, Cong Peng, Yuanqin Xu

“…The effectiveness of the proposed method was validated in terms of its jamming suppression capability, echo fidelity, and detection performance indicators under low-SNR conditions compared to conventional methods.…”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…To address these issues, this paper proposes a novel small-object detection algorithm. Firstly, a more efficient backbone network is introduced, and a composite scaling method is employed to optimize the balance among network depth, width, and image resolution. …”
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Remote sensing image fusion based on real time image smoothing and image similarity by Yanfang Hou, Kaixuan Guo, Xueyan Bi

“…Real-time image smoothing and image similarity of remote sensing image techniques can help people to obtain image information more accurately in the field of remote sensing. To improve the efficiency of information analysis, image fusion techniques are required. …”
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Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting by Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang

“…To improve the overall accuracy, this system leverages three distinct datasets: technical analysis indicators; price fluctuation limits; and variation mode decomposition (VMD) subsignal sequences. The predictions for the three reference-data types are more comprehensive than single-model or single-data-type approaches. …”
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Study on the Behavior of Self-Cleaning Impregnated Photocatalyst (Tio2) with Cement Mortar by Chandrasekaran Palanisamy, Ganeshprabhu Parvathikumar, S. Gnanasekaran, Samson Jerold Samuel Chelladurai, S. Sivananthan, B. Adhavan, N. K. Geetha, Ramesh Arthanari, Solomon Tibebu

“…The adaptability of the sol-gel method enables the use of various process parameters to influence the properties of the produced TiO2 nanoparticles. …”
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