Exploring the Relationship between Spatiotemporal Distribution of Urban Vibrancy and Neighborhood Attributes by Coupling Multi-Source Data: A Case of Nanshan District in Shenzhen by Liu Feng, Tang Zhong, Zhang Liang, Yu Lingmin, Liu Ke

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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…The dynamic label category system and in-memory data discovery mechanisms further improve the usability and accessibility of multi-source remote sensing sample datasets. Future work may focus on further optimizing the retrieval algorithms and expanding the range of supported data platforms to enhance the robustness and scalability of the system.…”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…PROTEGE is designed to provide well-selected recommendations for visual inspection, based on a small amount of optimized human labeling. The resulting sample contains rare or unusual sources that are simultaneously as diverse as the human trainer chooses and of scientific interest to them. …”
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Early-Stage Sensor Data Fusion Pipeline Exploration Framework for Agriculture and Animal Welfare by Devon Martin, David L. Roberts, Alper Bozkurt

“…To respond to this need, we have created a new open-source framework as well as a corresponding Python tool which we call the “Data Fusion Explorer (DFE)”. …”
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<i>Thraustochytrium</i> sp. and <i>Aurantiochytrium</i> sp.: Sustainable Alternatives for Squalene Production by Júnior Mendes Furlan, Graciela Salete Centenaro, Mariane Bittencourt Fagundes, Carlos Borges Filho, Irineu Batista, Narcisa Bandarra

“…Optimization of culture conditions led to the highest biomass concentrations for <i>Thraustochytrium</i> sp. being achieved at lower C–N ratios (<5.0), while the optimal biomass production for <i>Aurantiochytrium</i> sp. occurred in culture media with a high C–N ratio of 54:50. …”
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Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

“…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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Development of a Real-time Near-surface Air Temperature, Humidity, and Wind Product with 10-min Resolution in China by Liao Zhihong, Han Shuai, Gu Junxia, Shi Chunxiang, Zhang Zhiqiang, Ruan Xin, Zhao Qi, Zhang Tao, Zhang Zhisen, Du Aodong, Xu Bin, Sun Shuai, Pang Zihao, Zhang Yu, Xu Yanqin, Yang Lei

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The Dispersion Measure and Scattering of Fast Radio Bursts: Contributions from Multicomponents, and Clues for the Intrinsic Properties by Jian-feng Mo, Weishan Zhu, Long-Long Feng

“…A mixed FRB source population, including both young and old progenitors, is considered. …”
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Critical inertia thresholds for frequency stability in renewable Energy-Integrated power systems by Abolfazl Hadavi, Mehrdad Tarafdar Hagh, Saeid Ghassem Zadeh

“…Recent developments in the electricity sector, coupled with the increasing adoption of Renewable Energy Sources (RESs), have led to a decline in the use of synchronous generators. …”
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Satellite-derived land surface temperature spatial sharpening: A comprehensive review on current status and perspectives by Mohammad Karimi Firozjaei, Majid Kiavarz, Seyed Kazem Alavipanah

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Investigation of a horizontal low power wind turbine by S. Yu. Shamanin, V. L. Blinov, V. V. Savchenko, Yu. M. Brodov

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Water-Soluble Vitamins: Hypo- and Hypervitaminosis in Pediatric Population by Roberto Paparella, Fabiola Panvino, Lucia Leonardi, Ida Pucarelli, Michela Menghi, Ginevra Micangeli, Francesca Tarani, Marcello Niceta, Debora Rasio, Rouzha Pancheva, Marco Fiore, Luigi Tarani

“…Methods: A narrative review of the recent literature on the sources, recommended intakes, deficiency symptoms, and potential toxicities associated with each water-soluble vitamin was conducted. …”
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Evaluating the Role of Vehicle-Integrated Photovoltaic (VIPV) Systems in a Disaster Context by Hamid Samadi, Guido Ala, Antonino Imburgia, Silvia Licciardi, Pietro Romano, Fabio Viola

“…Emergency vehicles, including ambulances and trucks, as well as mobile units such as containers and operating rooms, can be equipped with photovoltaic modules and can serve as mobile emergency energy sources, supporting both vehicle operations and disaster relief efforts. …”
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Study on Heat Transfer Characteristics of CSNS Decoupled Posioned Hydrogen Moderator by ZHU Ling-bo, LU Yi-ping, TONG Jian-fei, LU You-lian, LIANG Tian-jiao

“…The flow field distribution and thermal properties of supercritical hydrogen are crucial factors affecting the quality of neutrons output from Chinese. Spallation Neutron Source (CSNS), which may contribute to the optimization design of Decoupled Poisoned Hydrogen Moderator (DPHM). …”
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Maximizing the Total Profit of Combined Systems with a Pumped Storage Hydropower Plant and Renewable Energy Sources Using a Modified Slime Mould Algorithm by Le Chi Kien, Ly Huu Pham, Minh Phuc Duong, Tan Minh Phan

“…Cases 1 and 2 focus on systems that assume stable power outputs from these renewable energy sources, while Cases 3 and 4 consider the uncertainty surrounding their power output. …”
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Real-Time Power Management of Plug-In Electric Vehicles and Renewable Energy Sources in Virtual Prosumer Networks with Integrated Physical and Network Security Using Blockchain by Nikolaos Sifakis, Konstantinos Armyras, Fotis Kanellos

“…This paper presents a blockchain-enabled Multi-Agent System (MAS) for real-time power management in Virtual Prosumer (VP) Networks, integrating Plug-in Electric Vehicles (PEVs) and Renewable Energy Sources (RESs). The proposed framework addresses critical challenges related to scalability, security, and operational efficiency by developing a hierarchical MAS architecture that optimizes the scheduling and coordination of geographically distributed PEVs and RESs. …”
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Monte Carlo Simulation and Experimental Validation for Radiation Protection with Multiple Complex Source Terms and Deep Penetration for a Radioactive Liquid Waste Cementation Facil... by Wenqian Li, Xuegang Liu, Sheng Fang, Xueliang Fu, Kaiqiang Guo

“…From both of the Monte Carlo simulation and the experimental measurement, it can be drawn that, in the horizontal direction, with the increase of the drum number, the dose rate increases very little, while in the vertical direction, the increase of the dose rate is very obvious with the increase of the drum number. The complicated source term sampling methods, the optimization algorithm and variance reduction techniques, and the experimental verification can provide valuable references for the similar scattering problem in radiation protection and shielding design.…”
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An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

Subjects: “…new energy sources…”
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Rolling Based on Multi-Source Time–Frequency Feature Fusion with a Wavelet-Convolution, Channel-Attention-Residual Network-Bearing Fault Diagnosis Method by Tongshuhao Feng, Zhuoran Wang, Lipeng Qiu, Hongkun Li, Zhen Wang

“…To address this issue, this study proposes a lightweight fault diagnosis model (WaveCAResNet) enhanced with multi-source time–frequency features. By fusing complementary time–frequency features derived from continuous wavelet transform, short-time Fourier transform, Hilbert–Huang transform, and Wigner–Ville distribution, the capability to characterize complex fault patterns is significantly improved. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…Under multi-source feature fusion, the GAW-SVM achieved a defect recognition accuracy of 98.84%, outperforming GA-SVM by 3.49%, PCA-SVM by 2.33%, and PSO-SVM by 1.17%. …”
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