Introducing Cu(II) onto SiO₂-TiO₂ with Rice Husk Ash as the Source of Silica and Its Catalytic Activity for Kumada Cross-coupling Reaction to Produce Biphenyl... by Dewi Agustiningsih, Nuryono Nuryono, Sri Juari Santosa, Eko Sri Kunarti

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Hybrid energy harvesting using piezoelectric footsteps and solar panels to ensure clarity by O. Hussein, Waleed K．S．Al-jumaili, Faiz F．Mustafa, Esraa Al−Ali, Marwa A Mohammed

“…The utilization of tracking solar panels and piezoelectric pressure sensors integrated into footsteps significantly fulfils power requirements from a renewable source. …”
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Design and implementation of a tumor risk factor surveillance data management platform based on big data by Wei WANG, Hui GE, Yu CAO, Ming WAN, Xuemei SU

“…To enhance the integration, sharing, and utilization of full-chain tumor risk factor data, this study employed big data technologies to integrate and analyze multi-source heterogeneous tumor risk factor surveillance data. …”
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A dynamic risk assessment model for network systems by Hongbin ZHANG, Jiamei MI, Jun ZUO, Bin LIU

“…The knowledge graph was dynamically updated,and the risk of the network system was quantitatively evaluated according to the utility function. The experimental results show that fitting degree of the assessment results to the true values is better than the HMM and AHP methods,which can more accurately respond to the risk changes of the system. …”
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Heat generation/absorption and bioconvective swirling stagnation point flow impact of magnetized Maxwell nanofluid by a stretchable rotating disk by Arfan Shahzad, Muhammad Imran, Madeeha Tahir, Shan Ali Khan, Nehad Ali Shah

“…This problem is computed numerically by deploying the bvp4c built-in function in MATLAB. The impacts of concerned flow describing parameters are assessed by utilizing both graphical and tabulated approaches. …”
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Ancillary Voltage Control Design for Adaptive Tracking Performance of Microgrid Coupled With Industrial Loads by Subrata K. Sarker, Shahriar Rahman Fahim, Niloy Sarker, Kazi Zakaria Tayef, Abu Bakar Siddique, Dristi Datta, M. A. Parvez Mahmud, Md. Fatin Ishraque, Sajal K. Das, Md Rabiul Islam Sarker, Sk. A. Shezan, Ziaur Rahman

“…Although the utilizing of renewable energy sources (RESs) in microgrid (MG) offers a recognized solution to meet the increasing demand, it’s performance depend on various meteorological factors of RESs. …”
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Ivacaftor–tezacaftor–elexacaftor, tezacaftor–ivacaftor and lumacaftor–ivacaftor for treating cystic fibrosis: a systematic review and economic evaluation by Steven J Edwards, Benjamin G Farrar, Kate Ennis, Nicole Downes, Victoria Wakefield, Isaac Mackenzie, Archie Walters, Tracey Jhita

“…Most people with CF experience progressive lung function loss over their lifetime, and lung disease is the primary cause of death for people with CF. …”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Specifically, a multi-view co-association matrix optimization objective function with doubly-stochastic constraints is first designed to capture the cross-view cluster structure. …”
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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Secondly, renewable energy sources such as wind-solar-EV are integrated with the aforesaid systems for lowering fuel cost, emission, active power loss (APL), aggregated voltage deviation (AVD), voltage stability index (VSI) and also cost, emision, APL, AVD, VSI are reduced simultaneously considering different cases for multi-objective functions.Proposed sine-cosine algorithm (SCA) embedded with quasi-oppositional based learning (QOBL), known as QOSCA is used to balance the exploration and exploitation ability in order to overcome shortcomings and provide global optimal solutions. …”
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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…We identify a “functional hybridization–spatial permeability–usage sustainability” mechanism underlying renovation efficacy and recommend the community service center paradigm as a priority strategy. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

“…This study presents a state-of-the-art explainable artificial intelligence (XAI) method to estimate corn yield prediction over the Corn Belt in the continental United States (CONUS). We utilize the recently introduced Kolmogorov–Arnold Network (KAN) architecture, which offers an interpretable alternative to the traditional Multi-Layer Perceptron (MLP) approach by utilizing learnable spline-based activation functions instead of fixed ones. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Principal component analysis and information entropy performed better in identifying construction and corridor areas, whereas nonlinear fusion showed advantages in source area identification. This study makes three key contributions: (1) it establishes a novel methodological framework for incorporating vertical geological factors into ESP construction, addressing a significant gap in traditional approaches; (2) it quantitatively reveals the spatial heterogeneity of land subsidence impacts on different functional ecological zones, providing evidence-based guidance for targeted management; and (3) it demonstrates the effectiveness of deep learning and multisource data fusion techniques in complex ecological-geological system modeling. …”
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Power and Frequency Control of Active Generator used for Smart Grid Applications by Ehsan Limouchi, Seyed Abbas Taher, Babak Ganji

“…Nowadays, renewable energy sources such as photovoltaic and active generators are utilized frequently in modern power systems especially micro-grid. …”
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A Strategy for Enhanced Post-FRT Active Power Recovery in Expandable Point-to-Point VSC-HVdc Links by Arcadio Perilla, Jose Luis Rueda Torres

“…The proposed strategy is developed by defining exponentially decaying functions, which, depending on the HVDC network configuration of the expandable HVDC system, alter the active current reference in a voltage source converter (VSC) affected by an AC network’s disturbance, without utilizing proportional-integral (PI) controllers. …”
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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…Meanwhile, ETC data-based urban traffic management is transitioning from passive responses to proactive prediction, from single functions to comprehensive services, and from isolated systems to integrated platforms. …”
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FAULT DIAGNOSIS METHOD OF ROLLING BEARING BASED ON ICEEMD-FastICA by MA WeiPing, HONG KunYue, AN Ning, SONG YuZhou

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Plug-and-Play PRNU Enhancement Algorithm with Guided Filtering by Yufei Liu, Yanhui Xiao, Huawei Tian

“…Previous studies have not successfully identified the effective frequency band of PRNU, leaving low-frequency interference insufficiently suppressed and impacting PRNU’s utility in scenarios such as source camera identification, image integrity verification, and identity verification. …”
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Millimeter-Wave Imaging with Range-Resolved 3D Depth Extraction Using Glow Discharge Detection and Frequency-Modulated Continuous Wave Radar by Arun Ramachandra Kurup, Daniel Rozban, Amir Abramovich, Yitzhak Yitzhaky, Natan Kopeika

“…Reflected signals are processed by the GDD, which functions as a heterodyne receiver, and Fast Fourier Transform (FFT) is used to extract range data. …”
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Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case study of old lan... by Zhiyuan Ren, Junwei Ma, Jiayu Liu, Xin Deng, Guangcheng Zhang, Haixiang Guo

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