Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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Small, open-source text-embedding models as substitutes to OpenAI models for gene analysis by Dailin Gan, Jun Li

“…While foundation transformer-based models developed for gene expression data analysis can be costly to train and operate, a recent approach known as GenePT offers a low-cost and highly efficient alternative. GenePT utilizes OpenAI's text-embedding function to encode background information, which is in textual form, about genes. …”
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Measurement and optimization of sustainable urban form elements in New Urban districts using multi-source data by Yanfeng Zhang, Xiaohui Wang, Longsheng Wang, Guangyu Li, Yige Zhang, Yu Ye, Hongqiang Jiang, Shaoyun Zhong, Junxi Song

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A Reactive Power Partitioning Method Considering Source–Load Correlation and Regional Coupling Degrees by Jiazheng Ding, Xiaoyang Xu, Fengqiang Deng

“…This study innovatively constructs a Copula function-based joint probability distribution model for source–load correlation. …”
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Research on fault location method for micro-grid based on multi-source information fusion alarm by YANG Zhichun, LI Muyuan, HAN Ji, YANG Fan, SHEN Yu, MIN Huaidong

“…Similarity computation is used to process and visualize the data, and convolutional neural network (CNN) is employed to identify the fault information, thereby achieving intelligent generation of alarm information. The switch function method is utilized to weight and fuse the multiple sources of alarm information, and an improved quantum-behaved particle swarm with binary encoding (IBQPSO) is applied to solve the fault model. …”
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Service Function Chain Migration: A Survey by Zhiping Zhang, Changda Wang

“…To ensure service continuity and optimize resource utilization, an efficient migration mechanism is essential. …”
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On some conceptual sources of the wealth maximization theory by Richard Posner: Adam Smith and Jeremy Bentham by V. S. Dorokhin, A. V. Polyakov

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A New Method for Indoor Visible Light Imaging and Positioning Based on Single Light Source by Xinxin Cheng, Xizheng Ke, Huanhuan Qin

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Enhancing stochastic optimal power flow with modified cheetah optimizer for integrating renewable energy sources by Majid Saeidi, Taher Niknam, Mohsen Zare, Zulfiqar Ali Memon

“…Abstract In this paper, a modified cheetah optimizer (MCO) algorithm is presented, which has been designed to address the optimal power flow (OPF) problem in power grids that utilize renewable energy sources (RES). The issue of uncertainty in cost models for wind turbines (WTs) and photovoltaics (PVs), which can result in overestimation or underestimation of RES, is addressed by including the uncertain cost value in the direct cost of these renewable units to calculate their cost value accurately. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…Field experiments confirmed the system’s ability to accurately map radiation fields and localize gamma sources. When combined with SLAM, the system achieved localization errors of 10 cm for single sources and 15 cm for dual sources. …”
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Functional Data Analysis for Prediction of Employee Presence by Nouhaila Goujili, Matthieu Saumard, Nicolas Cochard, Maher Jridi

“…Accurate presence prediction tools can optimize resource utilization and support strategic decisions in corporate real estate. …”
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Advanced Nanoscale Functionalities for Water and Energy Technologies by Zhi Xu, Nan Wu, Soufiane Abdelghani‐Idrissi, Corentin Trégouët, Javier Perez‐Carvajal, Annie Colin, Ming Ma, Antoine Niguès, Alessandro Siria

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Research progress and innovative pathways for the large-scaled green and low-carbon utilization of coal-based solid wastes by Lang LIU, Mengbo ZHU, Shuangming WANG, Pan YANG, Bo YU, Shishan RUAN, Junjun YANG, Geng XIE

“…It also proposes innovative pathways for the green and low-carbon utilization of coal-based solid waste. The study shows that: ① Coal-based solid waste can be classified into two categories: denatured and original coal-based solid waste, with denatured coal-based solid waste having the potential to develop cementing materials and carbon sequestration functions, while original coal-based solid waste possesses the characteristics of natural aggregates and soil materials; ② Currently, the main large-scale utilization models of coal-based solid waste include mine backfilling (such as cementing materials, paste backfilling, and grout backfilling), construction materials (such as cement supplementary materials, road materials, and precast components), ecological restoration (such as filling of subsidence areas, reclamation of wastelands, and soil improvement), and resource extraction and utilization (carbonaceous components, aluminium, sulfur and rare elements); ③ A new technology for graded, quality-specific, and full-component utilization of coal-based solid waste is proposed, which extracts high-value components and uses the remaining components for backfilling of mined-out areas, maximizing resource utilization; ④ Innovative technologies for modifying and co-disposing of high-salinity wastewater, modifying backfill for co-constructing storage facilities, and co-sequestering hazardous solid waste in functional storage are discussed. …”
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Investigation into the Enhancement Effects of Combined Bioremediation of Petroleum-Contaminated Soil Utilizing Immobilized Microbial Consortium and Sudan Grass by Tie-Jun Wang, Zi-Yue Ding, Zi-Wei Hua, Zi-Wang Yuan, Qiu-Hong Niu, Hao Zhang

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Elastic Wave Phase Inversion in the Local-Scale Frequency–Wavenumber Domain with Marine Towed Simultaneous Sources by Shaobo Qu, Yong Hu, Xingguo Huang, Jingwei Fang, Zhihai Jiang

“…In our approach, we first employ a two-dimensional sliding window function to obtain local-scale seismic data. Following this, we utilize two-dimensional Fourier transforms to generate the local-scale frequency–wavenumber domain seismic data, constructing a corresponding elastic wave phase misfit. …”
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Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…Initially, we develop MalCode2Vec to learn associations between source codes and represent them as numeric vectors. …”
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Utilization of Windu Shrimp Shell Waste from Malaka-NTT for Chitosan Synthesis: Characterization Study and Application Potential by Yohana Ivana Kedang, Ika Oktavianawati, Marselina Theresia Djue Tea

“…Chitosan characterization includes determining the degree of deacetylation (DD), determining functional groups using Fourier Transform Infra-Red (FTIR), and measuring crystallinity using X-ray diffraction (XRD). …”
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Strategies for efficient utilization of heavy rare-earth Tb in high-performance Ce magnets with high Ce content by Xiaolong Song, Qisong Sun, Minggang Zhu, Dongmin Zhang, Yifei Xiao, Yikun Fang, Qiang Wang, Wei Li

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The Application of Variable Weight Theory on the Suitability Evaluation of Urban Underground Space Development and Utilization for Urban Resilience and Sustainability by Hongnian Chen, Xianfeng Tan, Yan Zhang, Bo Hu, Shuming Xu, Zhenfen Dai, Zhengxuan Zhang, Hanxiang Xiong, Xiaoqing Song, Danyuan Luo

“…Urban underground space (UUS) is a significant natural resource to support many aspects of city development, but it is not sustainably developed and utilized during the urbanization process. …”
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