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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Citizensʼ Views on the Importance of Different Areas of Police Work<subtitle>A Best–Worst Scaling Approach</subtitle> by Tobias Fläder, Caroline Mellgren

“…This study investigates public perceptions regarding the prioritization of different areas of police work in Sweden amid growing concerns over crime and public safety. Utilizing a best–worst scaling (BWS) approach, the research aims to discern which police activities citizens deem most and least important, thereby shedding light on public expectations for police resource allocation. …”
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A novel strategy to optimize resources to boost production in rice-fish coculture at Ziro Valley, India by Ayan Samaddar, Dani Kacha, Anilava Kaviraj, Sarah Freed, Arun Panemangalore Padiyar, Sambhu Das, Subrata Saha

“…This traditional method utilizes the region’s wet rice terraces, allowing for the simultaneous production of rice and fish, contributing to efficient land and water resource utilization. …”
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Exploring the impact of AI on employee self-competence performance key variables and outcomes by Anas Amayreh, Mohammad A. Ta’Amnha, Ihab K. Magableh, Maher H. Mahrouq, Salsabila Aisyah Alfaiza

“…Abstract In the dynamic business world, organizations must upgrade their functioning and develop human resources skills to achieve optimal performance. …”
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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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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…Finally, we propose an innovative adaptive cost-weighting mechanism within the reward function to dynamically balance competing objectives, including energy consumption, latency, and bandwidth utilization. …”
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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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Exploration of crop germplasm resources knowledge mining in Chinese ancient books: a route toward sustainable agriculture by Wenjuan Zhao, Suoling Zhu, Yuan Cao

“…It is found that the descriptive texts on rice in Chinese ancient local chronicles not only contain the knowledge about the morphological characteristics of rice germplasm resources gained by field observation, but also involve the experience about the inherent attributes summarized by hands-on practice, such as the function, quality, phenology, customs, etc. …”
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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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Construction of a Multi-Omics database for Paeonia lactiflora: A resource for comprehensive data integration and analysis by Zongran Lu, Ling Huang, Somnuk Bunsupa, Hamizah Shahirah Hamezah, Xiaohui Tong, Chuanshan Jin, Jinmei Ou, Rongchun Han

“…The database is organized into key functional modules: Home, Genome, Transcriptome, Proteome, Tools, Biosynthetic Pathways, Chemical Compounds, and Publications. …”
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Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model by HOU Xiang-dong, ZHAO Xiang-ling

“…Conducting research on water quality and quantity in rivers that flow through urban areas and serve functions such as water supply and irrigation, and implementing rational scheduling, is of significance for ensuring a healthy aquatic ecosystem and enhancing the well-being of local residents. …”
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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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Joint Design of Antenna Selection and Resource Allocation in Massive MIMO-Based Ultra Dense Heterogeneous Networks by Malini Balachandran, Noor Mohammed Vali Mohamad

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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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Navigating novel resources: A field test of the effects of small mammal personality on dispersal of Quercus seeds by Ivy Yen, Alessio Mortelliti

“…Personality may be critical to consider in the context of novel seeds as inexperienced individuals may default to specific behavioral tendencies and foraging strategies when deciding if and how to utilize resources. In a large‐scale field experiment in central Maine (USA), we examined seed selection behavior in two species of small mammals (Peromyscus maniculatus and Myodes gapperi) for eight species of Quercus acorns—two of which are native to Maine and six of which are novel to our populations but expected to migrate northward. …”
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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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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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