Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

“…The findings indicate the following: (1) The multi-source data integration method for landslide disaster based on Flink and APSO proposed in this article, combined with the structural characteristics of landslide disaster data, adopts different integration methods for data in different formats, which can effectively achieve the integration of multi-source landslide data. (2) A multi-source landslide data integration framework based on Flink has been established. …”
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Multi-Source Reinforced Selective Domain Adaptation for Cross-Subject and Cross-Session EEG-Based Emotion Recognition by Xin Deng, Xinyi Hong, LiJiao Ai, Xingchen Li, Chenhui Li

“…The data selector, acting as an actor, performs actions to select high-quality source domain data for optimization of the domain adaptation model. …”
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Multi-Temporal Energy Management Strategy for Fuel Cell Ships Considering Power Source Lifespan Decay Synergy by Xingwei Zhou, Xiangguo Yang, Mengni Zhou, Lin Liu, Song Niu, Chaobin Zhou, Yufan Wang

“…The simulation results demonstrate that compared to single-layer MPC and the Equivalent Consumption Minimization Strategy (ECMS), the proposed method exhibits significant advantages in reducing single-voyage costs, minimizing differences in power source degradation rates, and alleviating power source stress. …”
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Clinical application of third-generation dual-source CT-based dynamic imaging reconstruction for pulmonary embolism imaging by Kai Liao, Biao Ye, Xi Li, Wei Liu, Tongtong Jia, Zongbao Han, Ziyi Liang, Yongli Duan, Xiaoli Sun, Jianmei Zhang, Rengui Wang, Jiao Gong

“…Abstract Background To evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations. …”
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Multilayer inverter with DQZ and neuro-fuzzy control for single maximum power point tracking of hybrid renewable sources by Akharakit Chaithanakulwat, Teerawut Savangboon, Nuttee Thungsuk, Taweesak Tanaram, Papol Sardyong

“…This study proposes a new MLI that is optimally adapted using DQZcontrol and a vague neurological approach for tracking the single maximumpower point of a hybrid renewable energy source. …”
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A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China by Yangda Chen, Aiqun Bao, Yapeng Li, Yingfeng Xiang, Wanlong Cai, Zhaoqiang Xia, Jialei Li, Mingyang Ning, Jing Sun, Haixi Zhang, Xianpeng Sun, Xiaoming Wei

“…Therefore, energy consumption prediction methods that incorporate multi-source data are necessary. …”
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Pharmacotechnological Studies of the Biomass of <i>Chlorella vulgaris</i> C-2019 as a Promising Source of Antibacterial Substances by A. V. Mitishev, E. E. Kurdyukov, E. F. Semenova, T. M. Fadeeva, I. Ya. Moiseeva, Ya. P. Moiseev

“…Micro-and macroalgae can be one of these sources.Aim. The aim of this study is to conduct a phytochemical analysis to confirm the presence of a wide range of BAC, as well as studies on the selection of optimal parameters for extracting chlorella C-2019 biomass in order to obtain extracts with a high content of BAC that have an antibacterial effect (pigments, flavonoids).Materials and methods. …”
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Unravelling urban carbon dynamics: a multi-source data study on Nanchang city's carbon dioxide emissions by Lingyun Yao, Li Wang, Ke Wang, Zheng Niu

“…However, it is challenging to achieve an optimal balance between the quality and quantity with existing mapping methods. …”
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Establishment of loop-mediated isothermal amplification for Brucella detection using a warmer pad as a heating source by Ye Yin-Bo, Li Dong-Liang, Yang Bo-Han, Zhang Zhao, Mei Si-Yao, Liu Bao-Shan, Chen Ze-Liang

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Estimation of aboveground biomass in Tajikistan based on upscaling extrapolation of UAV and Sentinel-2 multi-source data synergy by Lina Hao, Huping Ye, Shuang He, Xinyu Zhang, Dalai Bayin, Mustafo Safarov, Mekhrovar Okhonniyozov, Xiaohan Liao

“…Here we develop a dynamic sampling scale-up method for AGB estimation by integrating multi-source data from Sentinel-2 MSI, Unmanned Aerial Vehicle (UAVs), and ground observations, which enabled efficient and accurate AGB estimation across Tajikistan. …”
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Integrated export instream coefficient model for accurate nonpoint source pollution estimation and management in the Yellow River Basin by Xueting Wang, Lei Wu, Yongkun Luo, Yimu Liu, Ruowen Wang

“…Abstract The export coefficient model (ECM) remains widely applied in estimating agricultural Non-point Source Pollution (NPSP) due to its simplicity, minimal parameter requirements, and relatively high accuracy. …”
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Thermal Efficiency of Power Module “Boiler with Solar Collectors as Additional Heat Source” For Combined Heat Supply System by Denysova A.E., Mazurenko A.S., Denysova A.S.

“…The method of calculation of multi-module solar collectors working with forced circulation for various configurations of hydraulic connection of solar collector modules as the new result of our work have been proposed. …”
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Determination of NAD+ precursors nicotinamide mononucleotide (NMN) and nicotinamide riboside (NR) in plant foods: exploring dietary sources by Gabriela Fabiana Soares Alegre, Glaucia Maria Pastore

“…This study enhances our understanding of how to optimize NAD+ levels through dietary sources and advances knowledge in food science and nutrition.…”
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Assessing University Students’ Knowledge and Perceptions of Sexually Transmitted Infections: Sources of Information, Risk Awareness, and Educational Implications by Nontando Makhaye, Nokukhanya Thembane, Ziningi Jaya

“…This study aimed to examine the knowledge and perceptions about STIs and their prevalence among students at Mangosuthu University of Technology. Method A total of 284 students participated in this study. …”
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Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

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Leveraging Open-Source Tools to Analyse Ground-Based Forest LiDAR Data in South Australian Forests by Spencer O’Keeffe, Bruce H. Thomas, Jim O’Hehir, Jan Rombouts, Michelle Balasso, Andrew Cunningham

“…This paper investigates the application of open-source software and methods for forest LiDAR analysis, with a focus on enhancing forest inventory metrics in the radiata pine forests of South Australia’s Green Triangle region. …”
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Comprehensive characterization and extraction implications of ion adsorption rare earth deposit from a South American source by Spencer Cunningham, Tassos Grammatikopoulos, Baian Almusned, Jeffrey Daniel Henderson, Gisele Azimi

“…These findings contribute to the growing body of research aimed at diversifying REE supply sources and improving sustainable extraction methods.…”
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A GIS based spatiotemporal modelling approach for cycling risk mapping using crowd-sourced sensor data by Bakhtiar Feizizadeh, Davoud Omarzadeh

“…The major objective of this study is to apply integrated data-driven methods to estimate cyclist risk and discomfort in Berlin based on the OpenSenseMap dataset. …”
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Ice-source heat pump for residential heating: A case study on energy storage and pipeline repurposing in the UK by Ramin Mehdipour, Seamus Garvey, Bruno Cardenas, Zahra Baniamerian, Christopher J. Wood

“…Additionally, phase change material (PCM) energy storage was explored to mitigate peak demand. Optimizing storage tank sizes and heat pump capacities reduced peak electricity consumption for the ice-source heat pump from 2.65 kW to 1.57 kW (40.75 %). …”
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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…Extensive experiments on seven open-source software projects show that the SCM framework outperforms seven baseline methods, which include four classifiers and three ranking approaches, across four evaluation metrics such as F-measure, g-mean, MCC, and AUC. …”
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